Dissecting the contribution of mu and kappa opioid receptor signalling in effort and delay-related cost/benefit decision making - Jackson D. Schumacher; Victor Iancu; Alia M. Mahrez; Stan B. Floresco (Psychopharmacology, 2026)

First Record on the Traditional Consumption of the Indian Black Earth Tiger Spider (Lyrognathus crotalus Pocock, 1895) Among the Rabha Tribe from Northeast India - Jyotiprakash Boro; Kuldeep Bora; Chandramita Boro; Samir Terdalkar (Proceedings of the Zoological Society, 2026)

Species Distribution Modeling of Endemic and Critically Endangered Species Musa Argentii (Musaceae) - Nilotpal Kalita; Selim Mehmud; Pranab Bujarbarua; Twinkle Chetia; Himu Roy (Proceedings of the National Academy of Sciences, India Section B: Biological Sciences, 2026)

Beyond Antibiotics: Harnessing Bacteriotherapy to Heal Chronic Lymphatic Filariasis Wounds - Alexander Kwarteng (Probiotics and Antimicrobial Proteins, 2026)

Salinity decouples litter quality and soil decomposer ability, reshaping home-field advantage effects in Tunisian arid sebkhas - Xiangtai Wang; Ghassen Chaieb; Mohamed Chaieb; Richard Michalet (Plant and Soil, 2026)

Rhizosphere microbial α diversity dominates network complexity in governing soil multifunctionality during alpine grassland restoration - Fayi Li; Yubin Liu; Hu Yan; Zongcheng Cai; Shouquan Fu; Shancun Bao; Hairong Zhang; Jianjun Shi (Plant and Soil, 2026)

Testing thallium phytoextraction using Silene latifolia and Biscutella laevigata on natural thallium-enriched and thallium-spiked substrates - Gaia Regini; Mirko Salinitro; Ksenija Jakovljević; Marco Dainelli; Pablo Carril Vaglini; Ilaria Colzi; Nadia Bazihizina; Katerina Bačeva Andonovska; Cristina Gonnelli; Antony van der Ent (Plant and Soil, 2026)
Background and aims Thallium is a non-essential trace element occurring as a contaminant from industrial pollution, but it is also economically valuable. Phytoextraction for thallium using hyperaccumulator plants offers a potential opportunity to remediate thallium-contaminated soil while obtaining a valuable product (then called 'phytomining'). Silene latifolia is among the most promising candidates for thallium phytomining, but its performance in this context remains untested. It was compared here with the better studied thallium hyperaccumulator Biscutella l aevigata . Methods Silene latifolia seeds were collected from Allchar (North Macedonia) and Ganges (France), while for B. laevigata the Ganges accession was used. Plants were cultivated under controlled conditions on substrate from the Allchar site in North Macedonia with natural high thallium enrichment and on artificially thallium-spiked substrate to obtain key parameters required for future upscaling of thallium phytomining. Furthermore, the possible effects of Spirulina as a biostimulant on thallium phytoextraction yield were evaluated. Results Cultivated on thallium-enriched substrate for one month, S. latifolia (Allchar accession) attained up to 12,600 μg Tl g –1 DW in the shoot, compared to 3920 μg Tl g –1 DW when grown on thallium-spiked substrate. In the Ganges accession of S. latifolia , and particularly also in B. laevigata , notably lower shoot thallium concentrations were found. While biostimulants promoted plant biomass in all accessions analyzed, thallium yield in the shoots increased only in B. laevigata. Conclusions Thallium phytomining has yet to be tested at field scale, but experimental results suggest high potential for the S. latifolia (Allchar accession). Substantial variation exists in phytoextraction potential between S. latifolia accessions, which can be exploited for plant selection, while a positive response to the biostimulant in thallium yield was observed only in B. laevigata .

Distinct physical stabilization of organic carbon as it is protected in the silt plus clay fraction of a shallow loamy sand soil in a woody-encroached savanna grassland - Ntombizodwa Khumalo; Vusi Mbanjwa; Lerato Sekhohola-Dlamini; Masibonge Gxasheka; Phesheya Dlamini (Plant and Soil, 2026)
Aims Although there is increasing evidence that the storage of soil organic carbon (SOC) is affected by woody plant encroachment in savannas, the underlying physical stabilization mechanisms controlling SOC partitioning among aggregate fractions remain poorly resolved, particularly in sandy soils. We assessed changes in SOC concentration and SOC stocks (SOCs), soil water‑stable aggregates, and physical protection mechanisms within aggregate size fractions of a woody-encroached savanna grassland in South Africa. Methods We sampled the topsoil layer of open grassland and woody-encroached grassland loamy sand soil. The collected bulk soil samples were separated into four aggregate size fractions: large macroaggregates (LM), small macroaggregates (SM), microaggregates (M) and silt plus clay (SICL) by wet sieving. Afterwards, bulk soil and separated aggregate fractions were analysed for SOC. Results On average, SOC was 45% higher in the woody-encroached grassland compared to open grassland. Correspondingly, SOCs in the woody-encroached grassland were 29% higher relative to open grassland. A larger proportion of the aggregates were dominated by SM and M, with a greater proportion of the SOC stabilized within the SICL of the woody-encroached grassland soil. Conclusions These findings indicate distinct mechanisms of SOC stability, storage and protection in woody-encroached grasslands linked to enhanced retention within the SICL fraction, facilitated by greater surface area and more exchange sites for SOC adsorption. The entrapment of SOC within the SICL fraction is desirable because it is highly stable, has a longer turnover time and contributes to long-term storage of SOCs in savanna grassland soils.

Carbon and nitrogen coupling as a central driver of soil biochemical recovery, plant responses, and agroecosystem sustainability in reclaimed sodic soils - Ashutosh Pal; Madhuchanda Das; Jamuna Sharan Singh; Vimala Yerramilli (Plant and Soil, 2026)

Root and mycorrhizal trait coordination in response to sole and combined nitrogen and phosphorus addition across alpine steppe and meadow ecosystems in SW-China - Yu-Jue Miao; Ning Zong; Zhen-Wei Li; Jia-Luo Yu; Pei-Li Shi; Zhe Liu (Plant and Soil, 2026)

Impact of power line corridors on carbon stocks of upland forests in eastern Canada - Ariane Belleau; Évelyne Thiffault; David Paré; Jean-François Boucher; Samuel Roy-Proulx; Grant M. Domke (Plant and Soil, 2026)

Structural and physiological adaptations conferring herbivory resistance in wild olive (Olea europaea L. subsp. cuspidata) - Faakeha Islam; Syed Mohsan Raza Shah; Farooq Ahmad; Mansoor Hameed; Sana Basharat; Sana Fatima; Ansar Mehmood; Zahida Parveen; Ansa Asghar; Muhammad Sajid Aqeel Ahmad; Muhammad Ashraf; Khawaja Shafique Ahmad (Physiology and Molecular Biology of Plants, 2026)

Correction: Thyme and cumin eones: a safe and effective strategy for controlling Alternaria radicina in coriander, enhancing growth, and reducing cytotoxicity - Seham M. A. El-Gamal; Ehsan M. Rashad; WesamEldin I. A. Saber; Abdulaziz A. Al-Askar; Yosra A. Helmy; Khalid M. Ghoneem; Amira A. Ibrahim (Physiology and Molecular Biology of Plants, 2026)

Domain Adaptation for Deforestation Detection in Remote Sensing: Addressing Class Imbalance and Performance Estimation - Mabel Ortega; Gilson Alexandre Ostwald Pedro da Costa; Franz Rottensteiner; Christian Heipke; Raul Queiroz Feitosa (PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science, 2026)
Deep learning approaches applied to remote sensing imagery have become essential for large-scale monitoring and quantification of global deforestation. Their performance, however, is strongly constrained by the limited availability of extensive annotated datasets. Domain adaptation has emerged as a promising strategy to mitigate this issue by transferring knowledge from related domains where labeled data are abundant. The success of domain adaptation depends, however, on the level of (dis)similarity between the source and target domains. Although there are some statistical techniques that may be used to measure relative discrepancies between domain data distributions, anticipating the outcome of domain adaptation is an open issue. Another major difficulty arises from class imbalance, which is particularly severe in deforestation detection, as only a minor portion of extensive forest areas are deforested within the monitored periods. This work proposes new solutions for both of these issues. To estimate domain adaptation performance without requiring labeled samples from the target domain, we present a method that quantifies prediction uncertainty, providing insight into the expected generalization ability of the adapted model. To mitigate class imbalance, we incorporate an unsupervised debiasing module that computes sampling probabilities for batch selection during training, based on the distribution of samples across the entire dataset. This module increases the sampling likelihood of underrepresented classes. We assess the proposed solutions through a set of experiments conducted across four distinct domains within the Amazon rainforest. These domains correspond to different geographic regions, each with unique vegetation characteristics and deforestation dynamics. The results demonstrate that the proposed uncertainty measure serves as a highly reliable indicator of the adapted models’ generalization performance, showing strong correlation with actual accuracy drops. Furthermore, integrating the debiasing strategy into domain adaptation frameworks promotes consistent predictions, helping to mitigate class imbalance effects in complex scenarios.

Colla-Gaussian: High Quality Surface Reconstruction of Non-Collaborative Objects with Gaussian Splatting - Ziyang Yan; Xingyu Liu; Yihua Shao; Fabio Remondino (PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science, 2026)

Emerging discussion — a commentary on Luchetti et al., 2024 - Luis Alessandro Guariento; Marco Villani (Organisms Diversity & Evolution, 2026)

Impulsivity as a Key to Transdiagnostic Understanding of Mental Disorders - V. P. Petrovskiy; V. Y. Skryabin; S. I. Sokolova; A. V. Masyakin (Neuroscience and Behavioral Physiology, 2026)

Erbin Regulates Neuronal Hyperexcitability and Seizure Susceptibility in Temporal Lobe Epilepsy - Shenglin Wang; Yuping Zhao; Yuansong Zhang; Yaling Li; Yiru Zhang; Yangxi Chen; Xin Xu; Guohui Jiang; Hui Zhang; Haiqing Zhang; Xuefeng Wang; Xiujuan Mi; et al. (Neuroscience Bulletin, 2026)

Mapping the global research landscape of matrix metalloproteinase-12 (MMP-12) as a therapeutic target in pulmonary diseases: a bibliometric analysis (2000–2025) - Vaibhav Khade; Subhashini Singh; Sonali Labhade; Asha Thomas (Naunyn-Schmiedeberg's Archives of Pharmacology, 2026)

Decoction-derived bioactive nanoparticles of Lycopodium japonicum Thunb. attenuate knee osteoarthritis by regulating MAPK/ERK signaling - Xiaohui Chen; Gang Liang; Liangwei Wang; Zhilang Xie; Zhongpan Li; Yulin Xiang; Rongzhu Li; Fulan Zhao; Xiaojun Chen; Rui Huang (Naunyn-Schmiedeberg's Archives of Pharmacology, 2026)

Evaluation of sulfobutylether-β-cyclodextrin complex loaded dissolving microneedles-mediated delivery of fluticasone propionate for atopic dermatitis - Reham Khan; Atif Ali; Sumbal Shahtaj; Hira Khan (Naunyn-Schmiedeberg's Archives of Pharmacology, 2026)

Chiglitazar alleviates cognitive dysfunction in diabetic mice by restoring mitochondrial function via the PPARs/Nrf2 signaling pathway - Junfang Yuan; Yuzhong Wang; Defeng Wang; Yanfeng Zhen; Yanan Sun; Li Wang; Hui Fang (Metabolic Brain Disease, 2026)

Hesperidin attenuates aluminum chloride-induced cognitive impairment by modulating ERK/MAPK Signaling, tau protein immunoexpression, neuroinflammation, and microglial activation in mice - Rademene Sunday Oria; Kingsley Ekpe Akpang; Runyi Bassey Ben; Vivian Oluoma Aneke; Imasa Emmanuel Ushie; Maduka Jennifer Uchenna; Gift Bartsunkefe Ikong; Jesam Ibor Uket; Confidence Woko; Omamuyovwi Meashack Ijomone (Metabolic Brain Disease, 2026)

Zidesamtinib (Jideytro®): a new selective, brain-penetrant ROS1 inhibitor approved for the treatment of ROS1-positive non-small cell lung cancer - Sumi Lee; Longqin Hu (Medicinal Chemistry Research, 2026)

Synergistic Use of Multi-Sensor Data and Decision Matrix-Based Approach for Assessing Agricultural Damage due to Cyclone Remal - C. M. Bhatt; Ankush Charavande; Ashish Pandey; Dharmendra Singh; Prakash Chauhan (Journal of the Indian Society of Remote Sensing, 2026)

Relative Contribution and Spatial Heterogeneity of Logging and Wildfires as Drivers of Carbon Loss in Subtropical Forests, China - Weiwei Jiang; Xiaocheng Zhou; Guoshuai Tian; Hao Wu; Fanglin Tan; Ruijiao Wu (Journal of the Indian Society of Remote Sensing, 2026)

Approximate structured coalescent analysis reveals the Europe-centric origin and recent demographic expansion of turnip yellows virus - Xiayu Guan; Wende Huang; Yucheng Zeng; Zexuan Chen; Haoyuan Chen (Journal of Plant Pathology, 2026)

Correction to: Identification of JAZ1-MYC2 Complex in Lotus corniculatus - Meiliang Zhou; Zhanmin Sun; Jinbo Li; Dan Wang; Yixiong Tang; Yanmin Wu (Journal of Plant Growth Regulation, 2026)

Antidepressant effects of Gardeniae Fructus on chronic unpredictable mild stress model mice: involvement of DNMT3B-mediated epigenetic regulation of GR in the prefrontal cortex - Lu-Lu Zhang; Xiao-Wei Wang; Yi-Dan Cheng; Ya Liu; Hesham R. El-Seedi; Peng-Cheng Sun; Wen-bin He; Jian-Jun Zhang; Zhi-Guang Zhai (Journal of Natural Medicines, 2026)

Isomucronulatol attenuates liver aging by inhibiting GSK-3β acetylation and promoting β-catenin accumulation - Peiyao Chen; Baolian Wan; Fei Yu; Yanqiu Zhang; Mengmeng He; Enyi Wu; Yanjun He; Hui Zhong; Hao Zhang (Journal of Natural Medicines, 2026)

Forecast of building materials and their related environmental impacts: comparing wood-based and conventional construction pathways - Camilla Ernst Andersen; Rasmus Nøddegaard Hansen; Endrit Hoxha; Harpa Birgisdóttir (Journal of Industrial Ecology, 2026)
The building sector is a major contributor to global greenhouse gas emissions (GHGe), necessitating carbon mitigating strategies to reduce its environmental impact. This study investigates the environmental implications of two construction pathways in Denmark—wood-based and conventional—projecting material flows and emissions from 2025 to 2050. Using life cycle assessments (LCA) for 16 case buildings across multiple typologies, the study evaluates the potential for wood-based materials to reduce GHGe compared to conventional materials. The results highlight significant environmental benefits of wood-based pathways, particularly in reducing upfront GHGe and the reliance on non-renewable resources. However, the findings indicate that annual emissions account for 49% and 96% of Denmark’s allocated share of the global carbon budget for the wood-based and conventional pathways, respectively, underscoring the pressing need for systemic changes in the construction industry. Comprehensive strategies integrating biobased solutions, circular economy principles, and reduced reliance on new construction are critical to achieving Denmark’s climate goals.

Material footprint of warfare: a systematic framework and empirical analysis - Hessel Roodenburg; Ernst Worrell; Javanshir Fouladvand (Journal of Industrial Ecology, 2026)
Modern warfare generates enormous but mostly unquantified material and energy flows, yet no standardised method exists to measure its material footprint. This study develops a standardised and structured Material Flow Analysis (MFA) framework to quantify the war-exclusive material footprint, specifically focusing on material use in modern warfare. Building on principles of army doctrine and NATO supply classification, the framework identifies relevant material classes, including fuels, fortification materials, ammunition, repair parts, and medical waste, and categorises them by functional military platforms within the air, ground, naval and defensive domains. The model operationalises these flows through a quartile-based intensity approach, parameterised with industry-relevant proxies and assumptions, and finally tested with data from two case studies: the Russia-Ukraine War (2022) and Operation Desert Storm (1991). Results show that warfare operates at an industrial scale: Within a two-month window, total CO 2 emissions reach approximately 6 Mt for the Russia-Ukraine War and 28 Mt for Desert Storm, equalling the monthly emissions of Denmark and the Dutch industrial sector, respectively. In mass terms, the model indicates 8–10 Mt of fuels and ammunition are mobilised over two months, comparable to the global monthly cement trade or Sweden’s steel output. Fuel accounts for 70–80% of the mass flow. Ammunition dominates the remainder, while fortification materials add merely hundreds of kilotons. By capturing only the active warfare component, the study shows that 126 Mt CO 2 is emitted in the first three years of the Russia-Ukraine conflict. The framework provides a reproducible foundation for quantifying the environmental consequences of warfare.

Impact of seed coating of rice straw based biodegradable water absorbent (RS-BWAs) polymer on morpho-physiological, biochemical, ionic attributes and anatomical modifications in Camelina sativa under drought stress - Arslan Haider; Ejaz Ahmad Waraich; Tahrim Ramzan; Moeen Akhtar; Jazab Shafqat; Shagufta Malik; Marwah Saif (Journal of Crop Science and Biotechnology, 2026)

Task-Parametrized dynamics: Representation of time and decisions in recurrent neural networks - Cecilia Jarne; Ryeongkyung Yoon; Tahra Eissa; Zachary P. Kilpatrick; Krešimir Josić (Journal of Computational Neuroscience, 2026)

RE-AIM Guided Evaluation of a Comprehensive Tobacco Treatment and Education Program at a Cancer Center - Alison C. Brecher; Linda A. Fleisher; Donna Edmondson; Carolyn Zawislak; Kaitlyn Gregory; Cassidy Kenny; Zoe Landau; Alexandra Reyes; Nicole Harrington; Kelsey Lachow; Martin Edelman; Hossein Borghaei (Journal of Cancer Education, 2026)

Hydroponic co-cultivation of cyanobacterium Anabaena laxa with tomato plants stimulates growth and N assimilation under elevated CO2 - Venkatesh Kokila; Radha Prasanna; Arun Kumar; Ashvinkumar Katral; Gautam Chawla; Ravi Mourthy Nivedha; Sekar Nishanth; Vignesh Muthusamy; Bhupinder Singh; Awani Kumar Singh (Journal of Applied Phycology, 2026)

Who is governing the global plastics crisis? Mapping the global plastics governance landscape - Babet de Groot (International Environmental Agreements: Politics, Law and Economics, 2026)
As plastic pollution intensifies, questions arise about whether the global plastics crisis (GPC) is being governed, and by whom. While an array of international institutions is often assumed to address this issue, the scholarship has yet to systematically examine who governs plastics and plastic pollution in practice. This article provides an empirical mapping of the GPC governance landscape, finding that multilevel public, civil society, and hybrid institutions incidentally facilitate governance through information dissemination, operational activities, and standard-setting. It identifies focal points that shape the global agenda and powerbrokers that disseminate it, with the United Nations Environment Programme and the Basel Convention emerging as influential. Meanwhile, private actor involvement is limited to multistakeholder partnerships that enable business and industry to feign environmental action while pursuing expansive business-as-usual practices. This article thereby establishes an empirical baseline for understanding GPC governance in the absence of a global plastics treaty, demonstrating that legal and regime-based classifications of institutional relevance offer an incomplete account.

Equity in the contemporary oceans governance framework: a stocktake of UNCLOS and its implementing agreements - Bianca Haas; Frances Anggadi; Jeonghee Lim (International Environmental Agreements: Politics, Law and Economics, 2026)
Inequity is one of the many challenges ocean governance faces. Equity principles are increasingly receiving attention; for example, the ‘principle of equity and the fair and equitable sharing of benefits’ was included in the Agreement for Biodiversity Beyond National Jurisdiction. However, a holistic understanding of equity across the principal legal instruments of ocean governance is lacking. This article aims to assess the United Nations Convention on the Law of the Sea and its three implementing agreements through an equity lens. Based on an equity model adapted from Bennett (2022), six different equity dimensions – recognitional, distributional, procedural, environmental, management, and contextual equity – were tracked throughout the treaties. The results revealed a positive trend towards greater inclusion of equity dimensions in modern treaties. Furthermore, under the recognitional equity dimension, more stakeholders are acknowledged. However, these findings are only the beginning, and more research is needed to analyse the implementation of these treaties. Increasing attention is paid towards inequities within ocean governance, and this research provides the legal background to address equity concerns faced by various stakeholders.

Toxoplasma gondii infection reduces CD59 expression through downregulation of JAK2/STAT3 signaling axis to enhance decidual NK cell cytotoxicity via the RAS/MAPK pathway - Shuyan Wang; Luyun Huo; Yan Zou; Ruohan Yang; Xiao Wang; Haixia Zhang; Liqin Ren; Jing Yang; Jie Li; Xuemei Hu; Yushan Ren (Inflammation Research, 2026)

LncRNA SNHG14 drives alveolar inflammation in bronchopulmonary dysplasia via DNMT3a-mediated epigenetic silencing of miR-214-3p - Hui Hong; Xiaoxia Li; Jing Li; Yuhang Liu; Zhiqun Zhang (Inflammation Research, 2026)

Immunometabolic regulation and tissue-resident immunity in autoimmune uveitis: from genetic susceptibility to the gut-spleen-eye axis - Liping Lin; Jingqi Zhang; Xuejun Xie (Inflammation Research, 2026)

Cellular crosstalk between endothelial and vascular smooth muscle cells via the BACH1/COL3A1 axis promotes vascular calcification in chronic kidney disease - Jing Ning; Sitian Fang; Minzi Qiu; Honghong Zou; Yanxia Chen (Inflammation Research, 2026)

GPR132 antagonists alleviate atherosclerosis by suppressing M1 polarization and subsequent VSMCs proliferation and migration as revealed by transcriptomic profiling - Yin Feng; Zheng Cao; Fan Zhang; Xinwei Zhou; Lilliane Aol; Li Su; Liqun He (Inflammation Research, 2026)
Background Atherosclerosis (AS) is a chronic inflammatory disorder with substantial global prevalence, wherein macrophage polarization and vascular smooth muscle cells (VSMCs) phenotypic switching are critical pathogenic events. Although G protein-coupled receptor 132 (GPR132) is markedly expressed in macrophages, its specific role and mechanism in AS-associated macrophage polarization remain incompletely understood. Methods Pharmacological antagonism of GPR132 was evaluated in high-fat diet-fed ApoE −/− mice. Integrated single-cell RNA sequencing and transcriptome analyses from GEO datasets were performed to profile GPR132 expression in murine and human atherosclerotic plaques. In vitro, GPR132 overexpression and knockout macrophages were generated to assess M1/M2 polarization markers, and an indirect co‑culture system with VSMCs was established. Mechanistic investigations employed RNA‑sequencing and Western blotting, with pathway inhibition using SB203580 or GPR132 antagonists. Results GPR132 antagonism attenuated atherosclerotic lesion progression and reduced pro‑inflammatory cytokine secretion without altering lipid profiles. GPR132 was enriched in pro‑inflammatory (M1‑like) macrophage subpopulations within plaques, which also upregulated VSMC‑promoting growth factors. GPR132 overexpression promoted M1 macrophage polarization and suppressed IL‑4‑induced M2 macrophage polarization, whereas knockout enhanced M2 and attenuated M1. Conditioned medium from GPR132‑overexpressing macrophages significantly enhanced VSMCs proliferation and migration. Mechanistically, GPR132 drove M1 macrophage polarization primarily through activation of the p38/MAPK signaling pathway, an effect reversible by SB203580 or GPR132 antagonists. Conclusions GPR132 promotes pro‑inflammatory macrophage polarization via p38/MAPK signaling, and its antagonism mitigates atherosclerotic progression by suppressing inflammatory microenvironments and VSMCs proliferation/migration, highlighting GPR132 as a potential therapeutic target for AS.

Distinct miRNA expression patterns in circulating eosinophil subtypes and their subtype-derived exosomes in allergic asthma - Egle Vasyle; Andrius Januskevicius; Airidas Rimkunas; Jolita Palacionyte; Skaidrius Miliauskas; Kestutis Malakauskas (Inflammation Research, 2026)
Background Lung-resident (rEos) and inflammatory (iEos) eosinophil subtypes were initially characterized in mouse models of asthma and have been proposed to contribute differentially to inflammation and remodeling in human allergic asthma (AA). While microRNAs (miRNAs) and their transfer through exosomes may play important regulatory roles in immune signaling in asthma, miRNA profiles specific to eosinophil subtypes remain uncharacterized. This study aimed to identify distinct miRNA expression patterns in circulating eosinophil subtypes and subtype-derived exosomes from AA patients. Methods Peripheral blood iEos and rEos were isolated from 22 AA patients and 21 healthy subjects (HS). Next-generation sequencing (NGS) was used to identify differentially expressed miRNAs, and 16 candidates were subsequently selected for validation by quantitative polymerase chain reaction (qPCR) in eosinophil subtypes and in subtype-derived exosomes. Results NGS revealed 62 differentially expressed miRNAs in AA iEos and 35 in AA rEos compared with corresponding HS eosinophil subtypes. qPCR confirmed differential expression for 14 of 16 selected miRNAs in eosinophils or their exosomes between AA and HS. miRNA expressions distinguished AA from HS; furthermore, iEos and rEos showed distinct miRNA patterns within the AA group. Notably, AA rEos-derived exosomes showed greater miRNA enrichment than iEos-derived exosomes, implying active exosomal communication. Finally, validated miRNA patterns suggest a predominance of regulatory functions in rEos, whereas iEos displayed a profile consistent with pro-inflammatory activation. Conclusions This study provides molecular evidence that eosinophil subtypes are functionally specialized in AA. The differential miRNA patterns of rEos and iEos highlight their complementary regulatory and pro-inflammatory roles and suggest that eosinophil-derived miRNAs merit further investigation as potential biomarkers or modulators of airway inflammation.

A systematic review on the preparation of probiotics and in vitro models used to study their effects on cutaneous wound healing - Katja Lund Cliff; Anette Eskelund Nielsen; Cathrine Sylvester; Jacob Thoft Jacobsen; Simone Riis Porsborg (In vitro models, 2026)

E3 ubiquitin ligase SYVN1 promotes the malignant phenotype of A549 cells by upregulating GATA3 expression via NRP1 - Shan Wang; Suli Lu; Zhen Wang; Guiping Xuan; Jianhua Tan (In Vitro Cellular & Developmental Biology - Animal, 2026)

Establishment of a stable three-dimensional fibrotic cell culture model for reproducible baseline and experimental applications - Ayse Kocak-Sezgin; Elif Aydin; Meliha Koldemir-Gündüz; Güllü Kaymak (In Vitro Cellular & Developmental Biology - Animal, 2026)

Exploring the anti-Helicobacter pylori activity of Guluchyadi Kashayam through in-vitro and in-silico analysis - Priya Venugopal; Abel John Koshy; Anuroopa G. Nadh; Sini S. Raj; Rajesh Raju; Amjesh Revikumar (In Silico Pharmacology, 2026)

D-(−)-ribofuranose identified from traditional fermented rice beverages of Assam exhibits monoamine oxidase inhibitory activity: an integrated GC–MS/MS metabolomics, molecular docking, molecular dynamics, and in vitro study - Rohit Das; Bipashna Thatal; Buddhiman Tamang (In Silico Pharmacology, 2026)

Identification of selective bioactive compounds from Fenugreek seed extracts by GC-MS analysis and their anti-tumoral potential via modulation of Parkin in oral cancer - Rashmi Kumari; Madhu Rani; M. Amarendar Reddy; Siya Ram; Imran Khan; M. Moshahid Alam Rizvi (In Silico Pharmacology, 2026)

Structure-based discovery of novel ROCK2 inhibitors using integrated virtual screening, molecular dynamics, metadynamics and absolute binding free energy calculations - Shradheya R. R. Gupta; Rashmi Rameshwari; Indrakant K. Singh; Vanshika Rustagi (In Silico Pharmacology, 2026)

Coevolutionary analysis-driven design of a p53 neoantigen multi-epitope peptide vaccine for lung cancer immunotherapy - Komal Kumari; Gyan Prakash Rai; Manaswini Jagadeb; Srishti Shriya; Nooruddin Khan; Vinay Kumar; Asheesh Shanker; Rizwanul Haque (In Silico Pharmacology, 2026)

Integrated molecular docking, toxicity prediction, and molecular dynamics simulations studies to identify potential antimalarial candidates targeting enoyl-acyl carrier protein reductase enzyme - Abozur Mohamed Mohyeldin Khalil; Carlos Eliel Maya-Ramírez; Ammar A. Razzak Mahmood; Ebaa Mohammed Alfatih Ahmed; Mosab Yahya Al-Nour; Bashir A. Yousef (In Silico Pharmacology, 2026)

Evaluating the protective potential of Aspilia africana against phenanthrene-induced cardiorenal injury: biochemical and computational approaches - Ayomide Israel Ajayi; Heritage Omoju; Ayomide Oyatoro; Jesupemi Deborah Temitope; Kemisola Mercy Ademoroti; Rukayat Olanrewaju; Adetunji Raymond Adeoti; Hephzibah Ogunlade; Mathew Wasiu Owonikoko; Kazeem Olasunkanmi Ajeigbe (In Silico Pharmacology, 2026)

Beyond gluten-free diet: repurposing pitavastatin and lubiprostone as cathepsin S inhibitors for celiac disease therapy - Rahul Soloman Singh; Gladson David Masih; Ashutosh Singh; Benjamin Suroy; Gitika Batra; Shiv Charan; Ajay Prakash; Bikash Medhi (In Silico Pharmacology, 2026)

Replicated molecular dynamics of five natural products at the human Keap1 ETGE pocket prioritises catalpol and geniposide for experimental validation - Byungwoong Yoo (In Silico Pharmacology, 2026)

Core practices for physical education in German-speaking countries: an exploratory sequential study as a starting point - Matthias Baumgartner; Clemens Berthold; Wiebke Langer; Stefan Meier; Erin Gerlach (German Journal of Exercise and Sport Research, 2026)
Core practices (CPs) have been proposed as high-leverage clusters of teaching practices, and thus offer a framework for structuring physical education (PE), teacher education (PETE), and PE teachers’ continuing professional development (CPD). However, a set of CPs for PE aligned with German-speaking norms for high-quality PE has been lacking. This study aimed to (1) identify and formulate a set of CPs in PE and (2) examine how in-service PE teachers assess their relevance. An exploratory mixed-methods design was used: First, in the qualitative phase, the project team generated an initial set of CPs in PE and, based on expert feedback, differentiated between CPs in PE, describing PE teachers’ classroom performance, and more elaborated CPs for PETE and PE teachers’ CPD. Secondly, in the quantitative phase, 92 PE teachers rated eight CPs on their importance for PE, frequency of enactment, and relevance for PETE. The results of t tests comparing each mean rating with the scale midpoint indicated that all CPs were rated significantly above the midpoint, with moderate-to-large effect sizes. This pattern suggests high perceived relevance of the CPs for both PE and PETE, as well as their frequent enactment in practice. Repeated-measures analyses of variance showed differences between CPs, indicating that PE teachers differentiated meaningfully between them. The resulting set of eight CPs in PE, together with related CPs for PETE and CPD, offers a subject-specific framework for structuring PETE and CPD and provides a starting point for developing instruments to assess PE teachers’ CP-related performance and to evaluate CP-based programs.

Comparative chloroplast genomics and phylogenomic insights into the genus Zehneria (Cucurbitaceae) - Michael Gichuru Karendi; Caroline Njambi Ndungu; Elijah Mkala Mbadi; Vincent Okelo Wanga; Harriet Melany Nyamvula; Magrate M. Kaigongi; Guang-wan Hu (Genetica, 2026)

l-Amino acid oxidase with antibacterial activity in the skin mucus of rabbitfish Siganus fuscescens: purification, characterization, and cDNA cloning - Yuji Nagashima; Rina Tanaka; Yuko Aso; Shoichiro Ishizaki; Yoichiro Kitani (Fisheries Science, 2026)

Clinical, microbiological, and molecular characteristics, outcomes, and risk factors for mortality of patients with Stenotrophomonas maltophilia bloodstream infection - Gawahir A. Ali; Maha Y. Al-Jabri; Wael Goravey; Khaled M. Shunnar; Mostafa Najim; Joanne Daghfal; Jemal M. Hamid; Ahmed M. Hassan; Emad B. Ibrahim; Faiha Eltayeb; Ali A. Sultan; Hamad Abdel Hadi; et al. (European Journal of Clinical Microbiology & Infectious Diseases, 2026)
Purpose The aim of this study was to explore the clinical, microbiological, and molecular characteristics of Stenotrophomonas maltophilia bacteraemia, outcomes, and risk factors associated with mortality. Methods This was a nationwide retrospective cohort study of patients with S. maltophilia bacteraemia during the period between January 2017 and December 2021. MIC Test Strips (Liofilchem, Roseto degli Abruzzi, Italy) were used for susceptibility testing, and Illumina for whole genome sequencing. Kaplan–Meier survival analysis and a multivariable Cox regression model were utilized to assess independent predictors of 90-day all-cause mortality. Results Ninety patients were included, with a median age of 51.5 years (IQR 37–61), and 25.6% were females. The most common underlying medical conditions included diabetes mellitus (42.2%), and haematological malignancy (23.3%); and 64.4% were immunosuppressed. The most common sources of bacteraemia were the respiratory tract (38.9%) and vascular lines (25.6%). In vitro susceptibility rates were highest for trimethoprim-sulfamethoxazole (98.9%), and levofloxacin (61.1%). Sequencing demonstrated extensive genomic heterogeneity, and sul1 gene was detected in only one strain. The most frequent therapy was trimethoprim-sulfamethoxazole, monotherapy (77.8%) or in combinations (6.7%), for a median duration of 10 days (IQR 5–14). All-cause 90-day mortality was 44.4%. Receiving trimethoprim-sulfamethoxazole was associated with improved 90-day survival (log-rank P Conclusion S. maltophilia blood isolates are genomically diverse and remain mostly susceptible to trimethoprim-sulfamethoxazole. Using trimethoprim-sulfamethoxazole for patients with S. maltophilia bacteraemia appears to be associated with improved survival.

vascr: An R-based toolkit for rapid and robust analysis of cellular impedance sensing data - James J. W. Hucklesby; Charles P. Unsworth; E. Scott Graham; Catherine E. Angel (European Biophysics Journal, 2026)

A distribution-free criterion for variable selection in semiparametric spatial zero-inflated models - Chia-Ming Hsu; Chun-Shu Chen (Environmental and Ecological Statistics, 2026)

Sustainable enzymatic synthesis of enantiopure (R)-mandelonitrile using hydroxynitrile lyase from waste Pyrus communis seeds in a biphasic system - Asha Kumari; Sheetal; Savitri; Monica Sharma (Environmental Sustainability, 2026)

Copper contamination in false yellowhead–colonized soils: complementary metabolomic and taxonomic analyses suggest candidate microbial and chemical biomarkers - Quentin Lemoine; Mohamed Bouarfa; Delphine Raviglione; Eve Toulza; Bruno Charriere; Manuel Henry; Christophe Menniti; Cédric Bertrand; Dominique Aubert; Christophe Calvayrac; Marie-Virginie Salvia (Environmental Science and Pollution Research, 2026)

Life cycle analysis, leaching, technical and mechanical properties of wallboards composed of flue gas desulfurization gypsum and fly ash with carbon fibers - Jaime Delfino Ruiz Martinez; Begoña Peceño Capilla; Héctor Cifuentes Bulté; Carlos Leiva (Environmental Science and Pollution Research, 2026)

Carbon dot-chitosan nanocrystal photocatalyst for the photodegradation of methyl violet and removal of degradation products for the pretreatment of textile industry effluent - Blessing O. Aliyu; Chantal T. Tracey; Darya O. Shavronskaya; Andrey V. Bukhtiyarov; Egor O. Ryabchenko; Nikita A. Morozov; Pavel V. Krivoshapkin; Elena F. Krivoshapkina (Environmental Science and Pollution Research, 2026)

Assessment of natural radioactivity with radiological hazards and spatial distribution of radionuclides in soils, sediments from coastal and non-coastal regions of southeastern Bangladesh - Md. Abadat Hossain; AKM Saiful Islam Bhuian; Mohammad Belal Hossen (Environmental Monitoring and Assessment, 2026)

Electrochemical biosensors for saxitoxin detection: advances, limitations, and challenges for market transition - Isadora Bernardes Sequalini; Thiago Teixeira da Silva; Larissa Victoria do Carmo de Oliveira; Nirton Cristi Silva Vieira (Environmental Monitoring and Assessment, 2026)
Saxitoxins, produced by freshwater cyanobacteria and marine dinoflagellates, block neuronal sodium channels and can cause paralysis or death. They contaminate drinking water, bioaccumulate in aquatic organisms, and pose serious health risks. Conventional detection methods, though reliable, are costly, time-consuming, and require specialized personnel, limiting rapid or on-site use. Biosensors have emerged as attractive alternatives, with electrochemical platforms standing out for their high sensitivity, low cost, miniaturization potential, and easy integration into portable devices. These advantages make them promising tools for in situ monitoring of saxitoxins and justify a dedicated review. This work critically analyzes electrochemical biosensors for STX detection, highlighting advances, limitations, and challenges toward commercialization. We discuss operating principles, recognition elements, analytical performance, and classify devices by electrochemical technique (potentiometric, impedimetric, voltammetric), providing a comparative perspective on their respective strengths and limitations. Despite remarkable sensitivity—often below regulatory limits—key obstacles remain: lack of fabrication standardization, poor long-term stability, limited validation with naturally contaminated samples, insufficient robustness for complex matrices, low reproducibility, and absence of regulatory approval pathways. In addition, challenges associated with fabrication scalability and interlaboratory reproducibility continue to hinder the transition from proof-of-concept devices to commercially viable technologies. Overcoming these barriers is crucial for translating laboratory prototypes into reliable, field-deployable devices for environmental monitoring and food safety applications. Future developments should focus on improving robustness, reproducibility, and analytical validation to accelerate the practical implementation of electrochemical STX biosensors.

Changes in groundwater storage in the southern plain of Western Nepal: insights from remote sensing, modeling, and field studies - Prajwol Aryal; Vishnu Prasad Pandey; Bhesh Raj Thapa; Nabin Tiwari (Environmental Monitoring and Assessment, 2026)

Research on dual-carbon policy and enterprise financing costs in China’s power industry: Evidence from a multi-period DID model - Nanhang Tong (Environment, Development and Sustainability, 2026)

Coupling coordination and spatiotemporal evolution of water and energy welfare performance in 35 cities of the Yellow River Basin, 2010–2019 - Ken Sun; Xiaotong Xing; Jiacheng Liu; Enhui Shi; Yuanbiao Wang; Yiting Zhou; Xinyu Chen (Environment, Development and Sustainability, 2026)

Strategic prioritization of renewable energy in the U.S.: a data-driven Interval Type-2 Fuzzy decision making approach - Amirreza Salehi; Ardavan Babaei (Environment, Development and Sustainability, 2026)

Coral–Symbiodiniaceae holobiont responses to acute and chronic temperature stress in a marginal reef of the South China Sea - Qizhi Yang; Zhenjun Qin; Shuchang Chen; Lifei Wei; Mengling Lan; Changhao Mo; Wenzhi Deng; Yuan Xue; Jiming Jie (Coral Reefs, 2026)

Effects of pre-spawning heat stress on the fecundity of Acropora aspera - Morane Le Nohaic; Christopher Doropoulos; Selina Ward; Peter J. Mumby (Coral Reefs, 2026)
Repeated bleaching events driven by heat stress have caused extensive coral mortality and declines in survivors’ reproductive output, undermining reef recovery. On the Great Barrier Reef, heat stress events currently coincide with early oogenesis in many abundant taxa; with climate change, earlier onsets are expected to increasingly overlap later gametogenic stages. How coral reproduction responds as gametes mature in warmer waters remains unclear. To address this, we quantified the effects of heat stress during late gametogenesis on the fecundity of Acropora aspera . Using an ex situ experiment, gravid colonies were exposed to nine treatments combining three temperatures (Control + 1, + 2 °C) and three durations (3, 6, 9 weeks). Gravid polyp probability, polyp egg counts, egg volume, and testis volume were assessed at spawning. Responses were trait- and duration-specific. Sperm production was most sensitive, with testis volume declining ~ threefold under + 2 °C for 9 weeks relative to controls (0.056 mm 3 vs 0.160 mm 3 ); the same exposure nearly halved gravid polyp probability (0.015 vs 0.026 in Controls). However, 6-week exposure at + 2 °C increased sperm production (0.174 mm 3 ), highlighting the influence of exposure duration. In contrast, longer exposure to heat stress increased egg volume, which nearly doubled at + 1 °C (0.176 mm 3 vs 0.098 mm 3 in Controls); while egg counts remained stable, suggesting a strategy favouring better provisioned rather than numerous eggs. Nevertheless, larger gamete volumes may reflect stress-induced physiological changes rather than improved quality. These findings demonstrate that heat intensity, duration, and timing jointly shape coral reproductive investment, highlighting the complexity of predicting future reef recovery under climate change.

Coral acclimatization to novel, co-varying stressors is associated with fitness trade-offs - Sarah L. Solomon; Christian R. A. Lippens; Riccardo Mazza; Maya E. Powell; Kelly W. Johnson; Sophia Suvacarov; Rene M. van der Zande; Verena Schoepf (Coral Reefs, 2026)
Reef-building corals are under pressure to acclimatize and/or adapt to multiple co-occurring stressors, including climate change and declines in water quality. However, their capacity to do so is largely unknown. Yet, some corals naturally persist in habitats with multi-stressor conditions which can provide crucial insight into coral adaptive capacity under future ocean conditions. To assess the role of phenotypic plasticity and local adaptation in coral acclimatory responses to novel conditions, we reciprocally transplanted two coral species ( Siderastrea siderea , branching Porites ) between an inland bay characterized by multiple, co-varying stressors, including warmer seawater temperatures, higher pollution and more variable temperatures, pH and dissolved oxygen concentrations, and an environmentally less extreme, more stable fringing reef. We measured key phenotypic traits (e.g., calcification, tissue biomass, metabolic rates, chlorophyll concentrations) of all transplant groups after 0, 4 and 12 months. Reef-origin corals demonstrated high plasticity when transplanted to the bay, as both species maintained high survival and calcification, and matched bay natives’ other phenotypic traits. Yet, reef-to-bay transplants of both species had reduced photosynthesis-to-respiration ratios in the bay, highlighting the risk of metabolic trade-offs unless compensated for through increased heterotrophy. Conversely, bay-origin corals had enhanced photosynthetic performance but lower calcification on the reef. Reaction norms provided stronger evidence for environmental specialization in bay-origin than reef-origin corals, which could limit their use as stress-tolerant source corals for reef restoration. Overall, our findings suggest multi-stressor variability may promote specialized genotypes, rather than increased phenotypic plasticity, though this may also depend on predictability of environmental variability.

Recognizing faces through intuition? The reason why you are more sensitive to female faces - Shangsong Yan; Zhaoxian Li; Wanyi Huang; Junlong Luo (Cognitive Processing, 2026)

Current applications of virtual reality in assessing social cognitive functions: a review - Ceren Hıdıroğlu Ongun (Cognitive Processing, 2026)

Processing abstract concepts through interaction: effects on social recognition - Mihai Alexandru Bîclea; Ana Cosmoiu (Cognitive Processing, 2026)
Building on the importance of sociality in grounding abstract concepts, this study investigated how concept type shapes recognition memory for social stimuli. Participants engaged in text-based dialogues about abstract or concrete concepts with virtual agents, after which recognition of names and faces, as well as perceived closeness, was measured. The procedure included a preliminary, context-based validation of linguistic dimensions adapted from Italian into Romanian, given the absence of prior norming studies. Discussions of abstract concepts elicited more uncertainty expressions, questions, turn-taking, general statements, affective content, and overt beliefs, thus offering converging evidence for the adequacy of the translated stimuli and previously reported differences in socio-cognitive engagement. Differential recognition effects facilitated by abstract concept conversations were observed for faces, but not for names. The higher salience of faces could not be ascribed straightforwardly to cognitive load or faster processing, as this interpretation was incompatible with the reaction times observed, which did not differ across conditions in either the encoding or the recognition phase. This, coupled with the absence of corresponding effects for names, which are typically recognized at least as well as faces in matched recognition paradigms, is consistent with a greater involvement of social cognitive processes during abstract concept processing. Overall, the results indicate that abstract concept processing modulates recognition memory for social stimuli. The experimental design is intended to be simple and reproducible, enabling cumulative future research on the relationship between concept types and other cognitive processes.

Predicting perceived learning effectiveness from generative artificial intelligence in higher education: a hierarchical regression analysis of psychological, behavioral, and cognitive factors - Hamdan Alamri (Cognitive Processing, 2026)

THBS2: the key hub linking breast cancer stroma, immunity, and therapeutic response - Xi Wan; Xinchen Zhao; Yao Lin; Shujie Yang; Han Dai; Yi Li; Xiaoshan Wang (Clinical & Experimental Metastasis, 2026)

Correction: Breast cancer liver metastases and the impact of receptor expression on survival - Ellen Hansson; Marcus Sundén; Charlotta Wadsten; Gunilla Rask; Anne Andersson; Malin Sund; Oskar Hemmingsson (Clinical & Experimental Metastasis, 2026)

Multi-model genome-wide association study reveals novel and stable all-stage resistance (ASR) loci against Puccinia triticina in wheat germplasm from Iran - Saba Delfan; Mohammad Reza Bihamta; Seyed Taha Dadrezaei; Alireza Abbasi (Cereal Research Communications, 2026)

Identification and validation of drought-responsive genes in rice using machine learning and candidate gene association mapping - Suman Sarkar; Kishor P. Jeughale; Raj Kishore Sahoo; Nibedita Swain; Sabarinathan Selvaraj; Parameswaran Chidambaranathan; Jitendriya Meher; Cayalvizhi Balasubramaniasai; Salman Freeh Alamery; Sang-Min Chung; Masika Fred Bwayo; Mahipal Singh Kesawat; et al. (Cereal Research Communications, 2026)

Foliar application of Ascorbic acid and Gibberellic acid to enhance salinity tolerance in maize crop (Zea mays) - Hira Fatima; Hummera Nawaz; Ameer Khan; Amina Ameer; Muhammad Nadeem; Sohail Abbas (Cereal Research Communications, 2026)

Nanobodies Open New Avenues in Cancer Treatment: From Molecular Engineering to Therapeutic Platforms - Glenda Romero-Hernández; Mario S. Valdés-Tresanco; Ernesto Moreno (Cell Biochemistry and Biophysics, 2026)

A Translational Paradigm for Univentricular Heart Disease: Single-Stage Neonatal Repair with Adaptive Control of Cavopulmonary Flow - Paulo Cesar Duarte Junior; Martin Poulsen Kessler; Alessandro Cavalcanti Lianza; Shirley Ferraz Crispilho; Rudolf Huebner; Hemerson Donizete Pinheiro; Aron José Pazin de Andrade (Cardiovascular Engineering and Technology, 2026)
Background Univentricular heart defects remain one of the greatest challenges in pediatric cardiovascular surgery. Although well-established, the traditional approach consisting of three serial palliative procedures (Norwood, Glenn, and Fontan) entails cumulative risks, repeated hospitalizations, high healthcare costs, and significant psychosocial impact. This study proposes a single-stage neonatal surgical strategy integrating a tissue-engineered vascular graft and a differential flow control valve to enable adaptive and gradual modulation of cavopulmonary flow, avoiding abrupt physiological transitions. To evaluate the hemodynamic feasibility of the proposed concept, a three-dimensional computational fluid dynamics model was developed and analyzed under controlled flow conditions. Methods A three-dimensional model of the total cavopulmonary connection was developed to evaluate the hemodynamic feasibility of the surgical proposal. The fenestration diameter was reduced from 14 to 0 mm, representing progressive hemodynamic conditions. Computational fluid dynamics simulations were conducted under standardized physiological conditions, with neonatal pulmonary vascular resistance represented by porous zones. Flow distributions, pressure gradients, and hemodynamic equilibrium points were evaluated. Results Progressive reduction of fenestration diameter from 14 to 0 mm promoted gradual redistribution of venous flow from predominant right atrial diversion to predominant pulmonary perfusion. Systemic venous pressure increased from 4.2 to 10.6 mmHg as fenestration diameter decreased. An intermediate functional range between 5 and 6 mm provided a balanced distribution between pulmonary perfusion and right atrial diversion, consistent with an intermediate cavopulmonary flow condition. Conclusion Within the assumptions of this proof-of-concept computational model, the proposed strategy demonstrated hemodynamic feasibility for progressive cavopulmonary flow modulation. By integrating tissue engineering, adaptive flow control, and computational modeling, the proposed concept provides a foundation for future patient-specific, experimental, and translational investigations in the treatment of univentricular heart defects.

Deep learning-based surrogate model for predicting structural capacity of self-centering shear walls - Ge Song; Yankun Zhu (Bulletin of Earthquake Engineering, 2026)

Regionalization of global ground-motion models with partial non-ergodicity based on hierarchical Bayesian approach: a study in Turkey - Mao-Xin Wang; Zhi-Ping Deng; Wei Wang; Cong Miao; Yuan Tian (Bulletin of Earthquake Engineering, 2026)
Global ground-motion models (GMMs) may have unsatisfactory performance in predicting intensity measures (IMs) in specific regions, due to regional differences in seismological and geological conditions. This paper presents a hierarchical Bayesian approach for regionalizing global GMMs with partial non-ergodicity. Prior information, such as a GMM calibrated with substantial global data, is integrated with regional ground-motion data to derive posterior inferences for model coefficients and residual components. Compared to the mixed-effects regression method, hierarchical Bayesian updating can reasonably quantify uncertainty across varying regional data sizes, enabling statistically explainable forward predictions in data-scarce regions. To partially relax the ergodic assumption, the total residual is decomposed into between-event, site-to-site, and within-event single-site components, thus capturing repeatable site effects at individual strong-motion stations. The Bayesian approach is applied to predict spectral acceleration ( SA ) at periods from 0.01 to 10 s, peak ground acceleration ( PGA ), and peak ground velocity ( PGV ) of vertical ground-motion components in Turkey by regionalizing an extensively used global GMM. The results show that the updated GMM offers advantages in representing non-ergodicity, improving predictive accuracy, and enhancing applicability, compared to the global GMM and existing local GMMs. The global model tends to overestimate ground motion intensities especially in moderate earthquake magnitudes. Furthermore, the effects of prior variances and data quantity are investigated to provide insights into Bayesian modeling strategies. Also, the correlations among SA , PGA , and PGV for vertical, horizontal, and mixed component pairs in Turkey are quantified for the first time, thereby enabling vector-valued IM characterization for three-component ground motions.

Abnormal resting-state functional connectivity in anhedonia: A systematic review and meta-analysis - Xuezhen Zhang; Xinyan Rong; Shiying Wang; Chengfeng Chen; Bin Zhang (Brain Imaging and Behavior, 2026)

Field coupling as an interpretative framework for peptide–membrane interactions - Lúcio Otávio Nunes (Biophysical Reviews, 2026)
Antimicrobial peptides (AMPs) interact with lipid membranes through multistep processes that may include interfacial adsorption, partial insertion, membrane deformation, pore formation, and transmembrane organization. Although these processes have been extensively investigated, a unified operational framework connecting surface-bound, inserted, and intermediate peptide–membrane states remains underdeveloped. Here, we present a regime-based field-coupling framework that organizes peptide–membrane interactions according to the relative predominance of interfacial electrostatic coupling, hydrophobic-core coupling, and mixed coupling contributions. Surface-bound states are characterized primarily by interactions between cationic peptide residues and anionic lipid headgroups, whereas inserted states display stronger engagement of nonpolar peptide surfaces with lipid acyl chains. Mixed and pore-associated states retain both polar and hydrophobic interactions and may additionally involve water penetration, lipid-headgroup reorientation, membrane thinning, curvature, and peptide oligomerization. The operational use of the framework integrates peptide charge and charge distribution, hydrophobic moment, length and topology, membrane anionic charge, acyl-chain saturation, bilayer thickness, and peptide concentration. These variables are related to coordinated computational and experimental observables, including insertion depth, peptide–headgroup contacts, nonpolar residue–acyl-chain contacts, anionic lipid enrichment, peptide orientation, membrane order, water penetration, deformation, and peptide–peptide association. The framework generates conditional and falsifiable predictions for surface-bound, inserted/core, carpet-like, barrel-stave, and mixed/toroidal regimes. Its application to representative peptide–membrane systems illustrates how published observations can be organized within a common operational map. The proposed framework remains qualitative, and quantitative boundaries between coupling regimes require validation across peptides and membranes with distinct physicochemical properties. Nevertheless, it provides a structured basis for comparing mechanisms, designing computational and experimental tests, and interpreting transitions among peptide–membrane interaction states.

Heavy metals and pesticides in medicinal plants: environmental sources, plant responses, and human health risk assessment - Pallavi Shukla; Praveen Gupta; Arpit Singh; Nitesh Singh; Abhishek Maurya; Lav Singh; Divyanshi Rai; Mamta Gour; Tikam Chand Dakal; Gauri Saxena (BioMetals, 2026)

A Critical Review of Bibliometric Insights, Technology Readiness Levels, and Techno-Economic Aspects of Microbial Fuel Cells Toward Sustainable Energy Production - Kanchan Matiyali; Kamal Pandey; Angel A. Jessieleena; Sarthak Saxena; Vijaya Bhandari; Sachin Negi; Shweta Rawat; Suresh Chandra Phulara (BioEnergy Research, 2026)

Characterization of Collagen Fiber Organization in Breast Cancer via Model-Free Multiscale pSHG Image Analysis - Giuseppe Lombardo; Raffaella Mercatelli; Giuseppe Massimo Bernava; Riccardo Cicchi (Annals of Biomedical Engineering, 2026)
Purpose Alterations in collagen micro-architecture are hallmarks of tumor progression. Conventional polarization second-harmonic generation (pSHG) analyses rely on rigid symmetry assumptions that often fail in heterogeneous tissue microenvironments. We present a fully automated model-free, multiscale, computational framework designed for the unbiased quantification of complex collagen organization in breast cancer tissue. Methods Breast tumor and adjacent perilesional tissues were imaged using a custom pSHG microscope and analyzed at micro- and meso-scale levels. Collagen centerlines were extracted via U-Net–based segmentation to estimate fiber orientations, while global alignment was quantified using 2D-FFT angular spectra. Structural organization was characterized with model-free descriptors, including scalar and biaxial order parameters and semi-variogram–based spatial autocorrelation. Results Across a limited proof-of-concept dataset ( $$n=14$$ n = 14 FoVs), the proposed multiscale framework effectively discriminated tumor from adjacent perilesional collagen architecture. The trigonal polarization model yielded smoother, more robust orientation maps than the cylindrical approach, showing strong agreement with deep learning fiber centerline analysis ( $$CCC=0.985$$ C C C = 0.985 ). Tumor regions exhibited significantly longer spatial coherence length (87.3 ± 22.1 µm vs. 44.2 ± 11.3 µm, P = 0.01), higher scalar order (0.81 ± 0.06 vs. 0.56 ± 0.05, P = 0.01), and elevated biaxial order (0.12 ± 0.02 vs. 0.06 ± 0.06, P ). Conclusions This seminal framework provides a robust and assumption-free methodology to extract quantitative collagen descriptors across spatial scales. By integrating deep learning, frequency-domain analysis, and spatial statistics, it captures both local and long-range organizational features, supporting collagen architecture as a potential quantitative multiscale biomarker of tumor-associated extracellular matrix remodeling.

Microbial empowerment of rice (Oryza sativa L.) seeds: biopolymer-based PGPR biopriming for enhanced shelf life and growth promotion - Eliya Poyil Deepna; Pottekkat Sidharthan Panchami; Kulkarni Surendra Gopal; Devaki Girija; Namboodiri Raji Vasudevan (Vegetos, 2026)

Pentacyclic triterpenoids isolated from Carissa carandas as potential inhibitors of Klebsiella pneumoniae carbapenemase and β-Lactamase enzymes: a molecular docking study - Kasturi Pallem; Satyanarayana Botcha; Krishna Chaitanya Amajala; Subhashini Devi Prattipati (Vegetos, 2026)

Characterization of methanotrophs: phylogenetic, motif, and structural insights into Methylococcus capsulatus MS01 and Methylobacter luteus MS02 from environmental sediment - M. Logeshwaran; V. Miriam Sheba; R. Nandakumar; R. Prathiviraj; M. Jayaprakashvel; B. Balaji Prasath (Vegetos, 2026)

Invasive ecosystem engineering: Hyptis suaveolens drives dual crisis of biodiversity loss and nutrient monopolization in Nigerian savanna - O. O. Agboola; E. B. Adelanwa; S. Adekilekun; M. A. Adelanwa (Vegetos, 2026)

Computational insights into the glutathione S-transferase gene family in grain amaranths (Amaranthus caudatus L. and Amaranthus cruentus L.) - Shivani Tiwari; Neha Verma (Vegetos, 2026)

Molecular phylogeny of Tabernaemontana spp. (Apocynaceae): insights into correlations - Dipu Samanta; Renia Mullick; Bidisha Mallick; Debleena Roy (Vegetos, 2026)

Seasonal variation in soil physico-chemical properties in stands of D. latiflorus and B. nutans in Manipur, India - Sylvia Ningthoujam; Manoharmayum Geetmala; Lal Bihari Singha (Vegetos, 2026)

Qualitative, quantitative and GC-MS based phytochemical profiling of Aristolochia rethyae leaves: a newly discovered species from Arunachal Pradesh, India - Tirtharaj Chetry; Karuna Shrivastava; S. Sureshkumar Singh (Vegetos, 2026)

Chlorophyll fluorescence signatures reveal freezing tolerance differences among new Citrus scions - Carlos Eduardo Aucique-Perez; Nazneen Qureshi; Jhon Chater; Jude Grosser; Fred Gmitter; Zafar Iqbal; Muhammad Adnan Shahid (Theoretical and Experimental Plant Physiology, 2026)

Editorial: metabolomics and plant metabolism regulation and integration - Danilo M. Daloso; Marcelo Maraschin; Ricardo Bressan-Smith (Theoretical and Experimental Plant Physiology, 2026)

The CCAS-Scale in Chiari Malformation Type I: A Cerebellar-Focused Cognitive Assessment with Clinical Utility - Natalie Amaral-Nieves; Belinda Shao; Mei E. Tiemeyer; Lella Wirth; Shanzeh Sayied; Amanda Hasbrouck; Owen P. Leary; Deus Cielo; Patricia L. Zadnik Sullivan; Christine L. Trask; Philip A. Allen; Petra M. Klinge; et al. (The Cerebellum, 2026)

A Machine Learning Platform for Imputing Missing Critical Quality Attributes in Pharmaceutical Development - Yusuf Ali Mohammed; Chrystalla Protopapa; Angeliki Siamidi; Marilena Vlachou; Simon Gaisford; Moe Elbadawi (The AAPS Journal, 2026)

Design, Optimization and Evaluation of Taste-Masked Acemetacin Formulations Using Purolite A430MR - Xinyi Shi; Yanfei Wang; Zhaohua Li; Sining Han; Jirun Jia; Yibo Li; Qiang Fu (The AAPS Journal, 2026)

Langzeitanalyse von Kurzzeitvermietungen: Strukturen, Regulierungswirkung und neue Herausforderungen - Christian Smigiel (Standort, 2026)

Publisher Correction: “The customer is the forest”? Differences in stakeholder identification between food-energy-water researchers and managers in the Columbia river basin - Michael D. Briscoe; Jennifer E. Givens (Socio-Ecological Practice Research, 2026)

Designing self-sufficient ecovillages for isolated Indigenous communities: a case study in the Indigenous territory of Pimentel Barbosa, State of Mato Grosso, Brazil - Bruna Leuner; Paul Strikker; Bernd Hirschl; Pedro Henrique Bezerra; Cassiano Cremon; Nilbe Carla Mapeli; Makrand Madhav Pingle; Eduardo Kobachuk Kava; Sabuj Talukdar; Rodolfo Cavalcante Silva (Socio-Ecological Practice Research, 2026)
This case study examines the design of a self-sufficient ecovillage for the Xavante Indigenous people in Mato Grosso, Brazil. Ecovillages are sustainable, self-sufficient settlements that promote social, ecological, economic and cultural well-being. To our knowledge, only a few studies have considered ecovillage design in isolated areas. The Xavante are traditionally nomadic, but today they face food scarcity because they are confined to isolated territories. The project is predicated on addressing the pressing challenge of food insecurity among the Xavante by co-developing an ecovillage model tailored to their needs, priorities, and environmental conditions. The study proposes an ecovillage that integrates Indigenous knowledge with agroforestry, animal husbandry, and agri-photovoltaic energy systems, based on extensive discussions, reflections, and interviews with Xavante community members. The model supports 200 residents and aims to significantly reduce current nutritional deficits. To this end, it provides sufficient meat, eggs, vegetables, and renewable energy. The concept is underpinned by agroecological principles, thereby facilitating efficient resource utilisation and reinforcing local food production. The system would generate approximately 100 m³ of manure per year for the purpose of soil fertilisation, thus enhancing crop yields in remote areas. A financial assessment estimated an implementation cost of USD 103,000. Notwithstanding the logistical and organisational challenges encountered, the findings demonstrate that ecovillages can offer a practical, scalable pathway to enhance resilience, food security and well-being in isolated Indigenous communities worldwide.

Yoga-Based Therapy Versus Cognitive Behavioural Therapy for Chronic Insomnia Along with Pharmacotherapy: A Randomised Equivalence Trial - Gaurav Saurabh Sharma; Ravi Gupta; Poorvi Kulshreshtha; Puneet Dhamija; Latika Mohan; M. Raghvendra Rao (Sleep and Vigilance, 2026)

Sleep spindle density in NT1 versus ISS: a step forward, with questions still to answer - Makoto Honda (Sleep and Biological Rhythms, 2026)

Stability Charts for Blast Disturbed Zone of Rock Slope Using Hoek–Brown Failure Criterion - Yu Lu; Changyu Jin (Rock Mechanics and Rock Engineering, 2026)

Effect of Incidence Angle on Earthquake-Induced Landslides Through FDM–DEM: The Hongshiyan Rockslide (China) Case Study - Kunsheng Gu; Jian Zhou; Salvatore Martino; Xiao Peng; Fuchu Dai; Zunhong Ke; Luqing Zhang; Zhenhua Han (Rock Mechanics and Rock Engineering, 2026)

Drawdown Optimization in Oil Wells Affected by Production Decline Due to Fines Migration and Geomechanical Compaction - Daniel F. Rossi; M. R. Galvão; G. N. R. Teixeira; Diogo F. Rossi; E. S. R. Santos (Rock Mechanics and Rock Engineering, 2026)

Prior-Constrained Ensemble Learning with Shapley Additive Explanations for TBM Cutter Normal Force Prediction - Yaoqi Nie; Qian Zhang; Jiahui Li; Lijie Du (Rock Mechanics and Rock Engineering, 2026)

A Novel Hybrid Bit with Central-Grooved Cone and Multi-Blade for Ultra Deep Hard Rock Drilling: Mechanism of Shear and Tension Synergy and Structural Optimization - Yiqi Zou; Xuyue Chen; Deli Gao; Jian Zhao (Rock Mechanics and Rock Engineering, 2026)

Shear Creep Behavior of an Undisturbed Fault Fracture Zone and Bayesian Parameter Inversion of a Fractional-Order Model: A Case Study of the F115 Fault at the LCGX Hydropower Station - Yunzi Wang; Rubin Wang; Yaolai Liu; Weiya Xu; Yizhe Wu; Wei Wang; Mingtao Hu (Rock Mechanics and Rock Engineering, 2026)

Modelling of Saturation Effect on the Mechanical Behaviour of Château-Landon Chalk - Danielle Pajiep; Nathalie Conil; Mountaka Souley; Jian-Fu Shao (Rock Mechanics and Rock Engineering, 2026)

Formation Mechanism of Meter-Scale Large Deformation in Hard Rock with Sillimanite–Plagioclase–Biotite Schist Bands in a Deep TBM Tunnel - Zhibin Yao; Lianjie Fu; Yongrun Xiong; Chengxiang Yang; Fengpeng Zhang; Fuqi Kang; Song Chen; Wei Zhang; Lei Hu (Rock Mechanics and Rock Engineering, 2026)

Targeting Eustachian Tube Microenvironment: Probiotic Surfactant Utilization for Antimicrobial Peptide Secretion to Prevent Otitis Media - Xichu Duan; Yuning Xing; Wenwen Liu; Li Li (Probiotics and Antimicrobial Proteins, 2026)

Potential Role of Prebiotics and Probiotics on Oocyte Quality, Embryo Development, Endometrial Health, and Fertility Outcomes in Assisted Reproductive Technologies - Naghmeh Shahbaztabari; Maryam Shahverdi; Soroush Taherkhani; Elham Hosseini; Fatemehsadat Amjadi (Probiotics and Antimicrobial Proteins, 2026)

Contrasting responses of nematode food webs and energy flux to warming and nitrogen deposition between alpine meadow and steppe on the Tibetan Plateau - Juan Xue; Tahseen Saba; Yanbao Lei; Jie Shen; Kangshan Mao; Xianzhi Deng; Yuanjiang Yao; Lin Liu; Igor Bogunovic; Natasa Hulak; Armin Mesic; Geng Sun (Plant and Soil, 2026)

Quantifying near-surface soil evaporation losses in semi-arid shrublands using lc-excess–coupled Rayleigh fractionation: Evidence from the Hunshandake Sandy Land, China - Yusheng Hao; Debin Jia; Weiying Feng; Yibo Zhao; Mingyu Ji; Lina Yang (Plant and Soil, 2026)

Ectomycorrhizal fungi and hyphosphere bacteria form a relay team to unlock chelated organic phosphorus for Pinus massoniana - Genyue Cao; Mengting Zhao; Xin Gao; Jie Zhang; Tingyu Zheng; Mengya Yu; Chuanchao Dai; Kai Sun; Yong Jia (Plant and Soil, 2026)

Interspecific variation in prairie plant biomass depends on phosphorus mining traits and mycorrhizal responsiveness in the American Northern Plains - Kurt O. Reinhart; Lance T. Vermeire; Ylva Lekberg (Plant and Soil, 2026)

Clonal growth forms differ in trait-mediated productivity responses to long-term nitrogen and water addition in a temperate steppe - Jun Sheng; Meng Zhou; Yumeng Guo; Fengfeng Cao; Yujia Yuan; Guangyuan Yuan; Zuoqing Jiang; Wen-Hao Zhang; Wenming Bai (Plant and Soil, 2026)

Opposing latitudinal patterns of soil carbon fractions in faba bean and mung bean cropping systems - Xiangxiang Wang; Qiong Liu; Liang Wei; Zhenke Zhu; Yakov Kuzyakov; Xuefei Li; Jianping Chen; Tida Ge (Plant and Soil, 2026)

Trade-offs between carbon sequestration and ecosystem multifunctionality with increasing stand density in temperate Robinia pseudoacacia plantations - Yarong Sun; Senbao Lu; Ruoying Wu; Yunming Chen (Plant and Soil, 2026)

Retraction Note: Leveraging phenomics to enhance heat stress tolerance in tomato cultivars: a promising approach to climate change adaptation - K. S. Vijai Selvaraj; J. Karthikeyan; A. Bharathi; P. Irene Vethamoni; C. Indu Rani; N. Manikanda Boopathy; S. Aishwarya; P. Rajiv (Plant Physiology Reports, 2026)

Artificial Intelligence-Assisted Systematic Literature Reviews in Metabolic Phenotyping: A Methodological Framework and Validation Study - Maartje Cox; Javier Osorio Mosquera; Shaimaa Khandaker; Samuele Sala; Julien Wist; Jeremy K. Nicholson; Elaine Holmes; Timothy Fairchild; Nathan G. Lawler (Phenomics, 2026)
Systematic literature reviews are widely acknowledged to be at the top of most evidence hierarchies but are very time-consuming and labour-intensive. The advent of artificial intelligence (AI) offers possibilities to accelerate the review process. We propose a systematic literature review protocol that incorporates AI and evaluate the accuracy of AI against a human-constructed gold standard. Human researchers performed a systematic literature review on the PubMed metabolomic literature investigating Long COVID. OpenAI model o3-mini was then used via the application programming interface to carry out the three key stages of a systematic literature review: 1) screening articles for inclusion criteria, 2) evaluating articles' risk of bias (RoB) using a customised metabolomics tool based on well-established quality criteria, and 3) extracting data from articles. The performance of AI was evaluated against a manually created reference by the assessment of accuracy, negative predictive value, precision, sensitivity, specificity, F1 score, and Cohen's kappa. Out of the 320 identified articles, 33 met all inclusion criteria. AI performed screening, RoB assessment, and data extraction with mean accuracies of 92.7% ± 4.9%, 91.9% ± 5.9%, and 92.0% ± 9.2%, respectively, in ~ 10 h and at a cost of ~ 15.35 USD, while human reviewers took ~ 116 h, equivalent to ~ 2000 USD at minimum wages, to complete these steps in duplicate. OpenAI model o3-mini can independently complete the three main stages of systematic literature reviews in the metabolomics domain, thus considerably reducing the time to complete such reviews, at minimal cost. Nonetheless, human reviewers should always verify the AI-generated output to ensure robustness.

New insights into the evolution of Charlie Chaplin worms (Histriobdellidae, Eunicida, Annelida) - Conrad Helm; Katrine Worsaae; Paul Kalke; Nataliya Budaeva (Organisms Diversity & Evolution, 2026)
Histriobdellidae, the so-called Charlie Chaplin worms, is an enigmatic group of microscopic commensal annelids associated with crustaceans. They crawl by alternately attaching their adhesive anterior appendages and left and right huge lateral ‘feet’, and bear a complex jaw apparatus in the ventral muscular pharynx. Although histriobdellids were always thought to be a part of the jaw-bearing clade Eunicida, their exact placement within the annelid tree is still debated due to their highly derived external morphology and long branch attraction (LBA) artefacts in molecular analyses. In this study we employ morphological and molecular comparative approaches in order to gain new insights into the evolution of Histriobdellidae and its aberrant traits. Our phylogenetic analyses of Eunicida including 52 species and four molecular markers yield further support for Histriobdellidae being the sister group to the eunicid family Dorvilleidae. The detailed morphology of Histriobdella homari van Beneden, 1858, a commensal of the European lobster, was examined using standard immunohistochemical stainings and subsequent confocal laser scanning microscopy (CLSM) as well as scanning electron microscopy (SEM). Integrative analyses allow us to compare in detail with other eunicidans and unravel extensive anatomical transformations in Histriobdellidae. Neural innervation patterns help verify the presence of antennae and true annelid palps on the histriobdellid prostomium. The arrangement of ganglia and the neuronal scaffold innervating the anterior end supports the presence of a buccal segment (peristomium) in Histriobdella . Additionally, based on our comprehensive investigations we newly propose their adhesive anterior locomotory appendages to be homologous with parapodia in other Annelida, and their posterior-most adhesive locomotory appendages (feet) to show characters of both parapodial and pygidial structures. Detailed studies of this highly deviating family of annelids not only exemplify how to reconstruct extreme transformation of canonical annelid characters such as parapodia, but also highlight the exceptional evolutionary plasticity of the annelid body plan once more.

Species Divergence in Oxytocin-Dependent Yawning on a Conserved Glutamatergic Erection Circuit - Yan-Chu-Fei Zhang; Qing-Wu Zheng; Yang Lu; Hao-Yuan Wang; Jiao Cang; Xin-Rui Wu; Lin-Yao Fan; Liang Li; Ni-Na Zhang; Xiao-Yang Zhang; Jing-Ning Zhu; Jian Jing; et al. (Neuroscience Bulletin, 2026)
Yawning coupled with penile erection is a conserved neurobehavioral syndrome mediated by the paraventricular hypothalamus (PVH). However, the distinct roles of oxytocin and its co-transmitters remain unresolved. Using chemogenetics, we showed that activation of PVH oxytocin neurons was sufficient to elicit both responses, whereas silencing these neurons abolished them. Viral tracing revealed that these neurons project collaterally to the brainstem reticular nucleus and spinal cord to spatially coordinate autonomic and somatic motor outputs. By dissecting the molecular mechanisms using CRISPR-Cas9, we found that vesicular glutamate transporter 2 (VGLUT2)-dependent glutamatergic transmission provides the primary drive for both behaviors, whereas the oxytocin peptide is selectively required for yawning but dispensable for erection. Comparative analyses across rats, hamsters, and mice demonstrated that while the glutamatergic erectile circuit was conserved, mice lacked spontaneous yawning and were resistant to apomorphine-induced yawning. These findings suggest a hierarchical co-transmission framework in which fast glutamatergic signaling provides the core drive, while oxytocin confers behavioral specificity.

A Novel Evidence of Consistency Between the Upper and Lower Airways in Central Regulation - Hanrui Wang; Xiaoyu Song; Ting Yang; Hui Shen; Tongpeng Chu; Yakui Mou; Chao Ren; Xicheng Song (Neuroscience Bulletin, 2026)

Joint Encoding Represents Fine-Scale Functional Specialization in Mouse Higher Visual Areas - Zimin Dai; Jin Chang; Deyong Gong; Shanshan Ke; Huijuan Lei; Wei Zhou (Neuroscience Bulletin, 2026)

Safety profiles of two XOD and two URAT1 inhibitors in hyperuricemic patients: a real-world pharmacovigilance analysis based on the FAERS and JADER databases - Wenqing Shi; Xucong Huang; Xin Zhao; Jingjing jiang; Guorong Fan; Yuefen Lou (Naunyn-Schmiedeberg's Archives of Pharmacology, 2026)

Redox-modulating metallic nanoparticles: mechanistic insights into pharmacological activity and cellular therapeutics - Muhammad Irfan; Umar Zeeshan; Haider; Ali Abbas (Naunyn-Schmiedeberg's Archives of Pharmacology, 2026)

Cholinesterase inhibitors and sexual disinhibition in dementia: a FAERS disproportionality study - Kaofei Sayion (Naunyn-Schmiedeberg's Archives of Pharmacology, 2026)

Luteolin ameliorates sympathetic stress-induced myocardial injury by inhibiting the VEGFA/VEGFR2 and PI3K/Akt/NF-kappaB signaling pathways - Sheng Li; Yanli Guo; Peiyao Yang; Yaming Liu; Xinzhi Li; Ketao Ma; Li Wang (Naunyn-Schmiedeberg's Archives of Pharmacology, 2026)

Agranulocytosis associated with metamizole among EudraVigilance reports involving methotrexate for rheumatoid arthritis - Kathrin Jobski; Carsten Bantel; Katinka Albrecht; Falk Hoffmann (Naunyn-Schmiedeberg's Archives of Pharmacology, 2026)
Methotrexate (MTX) can induce adverse drug reactions (ADRs) including severe haematotoxic events. This study analyses whether agranulocytosis is disproportionately reported in spontaneous reports involving MTX for rheumatoid arthritis (RA) when use of metamizole, a non-opioid analgesic, which itself has been associated with agranulocytosis, is recorded additionally. Using the EudraVigilance database, we analyzed spontaneous reports of suspected ADRs associated with MTX for RA and including any comedication (from Europe, until 2022). We (i) compared characteristics of reports stratified by metamizole use and the occurrence of agranulocytosis and (ii) performed disproportionality analyses estimating reporting odds ratios (RORs) and 95% confidence intervals (CIs) of agranulocytosis associated with metamizole. We included 7,213 reports with recorded use of MTX for RA (72.1% female, median age: 64 years, 11.3% with an agranulocytosis, 1.7% with metamizole use). Compared to reports with other comedication, metamizole users were older and more often received also other analgesics such as opioids (27.3% vs. 8.9%) while treatment with additional disease-modifying anti-rheumatic drugs (DMARDs) was less common (34.7% vs. 62.2%). Agranulocytosis was disproportionately recorded in reports also involving metamizole (ROR: 9.8; 95% CI: 6.8–14.1). The ROR decreased after adjusting for age, sex, other analgesics and DMARDs (ROR: 5.5; 95% CI: 3.6–8.6). The highest ROR was found in individuals aged 80 + . Our study supports regulatory warnings that a concurrent administration of metamizole can increase the haematotoxic effect of MTX and should therefore be avoided. A sufficient RA therapy might decrease the need for analgesics and should be aimed at also in older RA patients.

Remimazolam vs midazolam for sedation in upper gastrointestinal endoscopy: a systematic review and meta-analysis - Salma Bahnasy; Ahmad Omar Saleh; Ibrahim A. Ababneh; Bishoy Fahim; Tasnim Tarboush; Rovan Aladham; Ismail Elkhattib; Hatem Eltaly; Mohamed Elnaggar (Naunyn-Schmiedeberg's Archives of Pharmacology, 2026)

Maximizing weight loss with cagrisema: a systematic review and GRADE-assessed meta-analysis of randomized controlled trials - Bilal Wazir Khan; Syed AsadUllah Agha; Ihsan Qamar; Muhammad Huzaifa Khattak; Amna Rehman; Tayyaba Ikram Qazi; Shahreena Athar Siddiqui; Nafila Zeeshan; Umer Zaryab Khan; Humaira Bibi; Muhammad Faaz Khan; Haris Wazir Khan; et al. (Naunyn-Schmiedeberg's Archives of Pharmacology, 2026)

Erastin-sensitive VDAC2 contributes to time-course peritoneal fibrosis via ferroptosis signaling induction - Wenfeng Wei; Yanping Qiu; Rong Luo; Yangping Feng (Molecular and Cellular Biochemistry, 2026)

Effects of moderate-intensity continuous training on cardiac mitochondrial bioenergetics, oxidative balance, and mitochondrial dynamic in juvenile overnourished rats - Jefferson Thadeu Arruda Silva; Matheus Santos de Sousa Fernandes; Reginaldo Correia da Silva Filho; Elenilson Maximino Bernardo; Allifer Rosendo Pereira; Thyago de Oliveira Rodrigues; Mariana Pinheiro Fernandes; Burak Yagin; Fatma Hilal Yagin; Nouf H. Alkhamees; Claudia Jacques Lagranha (Molecular and Cellular Biochemistry, 2026)

XYLB promotes malignant behaviors of triple-negative breast cancer via SUSD3 upregulation - Chen Chen; Jingru Zhou; Yiyan Yang; Wanqing Chen; Xingxing Fang; Jian Shi (Molecular and Cellular Biochemistry, 2026)

Anemoside B4 upregulates DDAH2 and attenuates oxidative stress induced endothelial dysfunction - Shuxian Lu; Yao Yi; Qin Chen; Luling He; Margaret Baldini; Dan Shan; Limin Gong; Liang Qiu; Shumin Ma; Manman Qin; Yanyun Fang; Yifeng Zhang; et al. (Molecular and Cellular Biochemistry, 2026)

Long-chain chlorinated paraffins exposure induces premature ovarian failure by disrupting the balance of mitochondrial fission - Chenhui Xu; Haochu Deng; Xue Tian; Shuang Ma; Yuebing Kong; Ruoting Zhang; Shiyu Yao; Hainan Lan (Molecular and Cellular Biochemistry, 2026)

Therapeutic targeting of ROCK reverses EMT in lung cancer cells by impeding TAZ in Hippo signalling pathway - Basab Ghosh; Siddhartha Sankar Ghosh (Molecular and Cellular Biochemistry, 2026)

Peripheral nerve injury induces an immunometabolic signature involving reduced free fatty-acid pools - Jun Seo Park; Hye Won Jun; Jaesung Lee; Sung Joong Lee (Metabolic Brain Disease, 2026)
Peripheral nerve injury-induced persistent pain hypersensitivity cannot be fully explained by increased neuronal excitability alone. Rather, it is increasingly recognized as a pathological tissue state characterized by sustained glial activation, immune signaling, and synaptic remodeling within the spinal cord. In this context, metabolic remodeling of the spinal cord has emerged as a potentially important feature of neuropathic pain. However, the metabolic patterns associated with this state, and their relationship to underlying molecular programs, remain incompletely defined. Here, we performed GC–MS-based untargeted metabolomic profiling of the spinal cord dorsal horn on day 7 after spinal nerve transection (SNT). To provide orthogonal validation, we integrated pathway-analysis results from four independent spinal cord RNA-sequencing datasets derived from distinct neuropathic pain models and further conducted qPCR-based validation. Metabolic profiling revealed a clear separation between SNT and sham samples, marked by broad depletion of the free fatty acid pool and features consistent with an immunometabolic shift. Consistently, analyses across RNA-sequencing datasets and qPCR validation demonstrated upregulation of immune and inflammatory programs, together with downregulation of fatty acid metabolism and cholesterol homeostasis. Collectively, these findings suggest that persistent neuropathic pain should be interpreted not simply as a consequence of neuronal and immune signaling, but also through the metabolic tissue environment that supports and sustains this pathological state.

Dual-target carbonic anhydrase inhibitors in cancer therapy: progress, challenges, and opportunities - Meizhen Luo; Yong Wang; Yinmei Xia; Qin-Min Wang; Jifa Zhang; Lianhai Shan (Medicinal Chemistry Research, 2026)

Enhancement of antitumor activity through structural optimization of 2-(Benzylamino)-thieno[2,3-d]pyrimidin-4(3H)-ones - Nazariy Pokhodylo; Kostiantyn Levchenko; Nataliya Finiuk; Yuliia Kozak; Olha Klyuchivska; Rostyslav Stoika (Medicinal Chemistry Research, 2026)

The genus Laggera: an extensive review of phytochemistry, pharmacology, clinical study, and chemical modification - Huynh Thi Ngoc Ni; Do Thi Lan Huong; Duong Quang Huan; Huy Dinh Vu; Tran Thi Thanh Thuy; Nguyen Thanh Hao; Dong Huy Gioi; Dinh Thi Thu Huong; Ninh The Son (Medicinal Chemistry Research, 2026)

A comprehensive review on phytochemistry and pharmacological activities of genus Saussurea - Ayesha Bibi (Medicinal Chemistry Research, 2026)

The Contribution of Spatially Tuned Brain Cells to Human Navigation Performance - Frank Dickmann; Annika Korte; Denise O´Meara; Cara Oster; Dennis Edler; Nikolai Axmacher; Julian Keil (KN - Journal of Cartography and Geographic Information, 2026)
Digital navigation systems facilitate goal-directed travel but reduce active engagement with the surrounding environment—a process critical for the formation of allocentric cognitive maps. Neuroscientific evidence reveals that spatial orientation relies on the coordinated activity of specialized spatially tuned neuronal populations, including place cells, head direction cells, grid cells, and border cells. This article introduces the specific properties of these spatially tuned cells, which encode central components of spatial information such as position, direction, distance, boundaries, and object relationships. Cell activities are continuously modulated by the perception of stable landmarks and environmental boundaries. This could form the basis for a “neurocartographic” approach that focuses on the systematic use of these cell activities to support spatial orientation. Enhancing the visual salience of landmarks and boundary structures, as well as integrating Virtual Reality (VR) and Augmented Reality(AR)-based components, may strengthen the metric representation of space—particularly grid cell–based coding. The overarching objective of this approach is to promote the development of allocentric and egocentric spatial representations during both real-world navigation and map-based wayfinding, thereby counteracting the decline in navigational abilities observed with the widespread use of digital turn-by-turn systems.

Synergistic Nitrogen Management for Sustainable Rice Production: A Review - Ying Han; Zhongyang Zhu; Yonghua Chen; Yinshan Zhang; Jia Zhou (Journal of Soil Science and Plant Nutrition, 2026)

Maize Hybrids Show Differential Response to Glutamine Application At the Physiological Level - Mahmood Ul Hassan; Chandni Iqbal; Andrew Nasa Thompson; Muhammad Ishfaq; Lianlian Liu; Qingling Zhao; Xuexian Li (Journal of Soil Science and Plant Nutrition, 2026)

Wheat Straw-Derived Biochar Alleviates Arsenic Phytotoxicity, Ecological Risk and Regulates Nutrient Status and Physiological Performance of Sunflower Plants in Contaminated Soil - Qammar Farooq; Muhammad Imran Khan; Ismat Sattar (Journal of Soil Science and Plant Nutrition, 2026)

Whole-genome analysis and rhizogenic potential of Agrobacterium deltaense M8R5 isolated from a tomato greenhouse affected by hairy root disease - Fátima Medina-Tinoco; Juan Campos-Guillén; José Alberto Rodríguez-Morales; Aldo Amaro-Reyes; Alejandro Hernández-Morales; José Andrés Jiménez-Mu; Rocío Velázquez-Robledo; Sofía María Arvizu-Medrano; Montserrat Hernández-Iturriaga; Juan Ramiro Pacheco-Aguilar (Journal of Plant Pathology, 2026)

Seed Priming and Foliar Spray Synergistically Improve Zinc Biofortification, Yield, and Transporter Gene Expression in Rice Under Zinc Deficiency - Mathew Veena; Theivanayagam Maharajan; T. P. Ajeesh Krishna; Stanislaus Antony Ceasar; Jos T. Puthur (Journal of Plant Growth Regulation, 2026)

Alteration of Nitrogen Metabolism in Response to Atherigona soccata Infestation in Sorghum - Archana Kumari; Meenakshi Goyal; Om Prakash Raigar; Devinder Pal Singh (Journal of Plant Growth Regulation, 2026)

Correction: Root-associated Bacillus spp. Modulates Plant Flavonoids, Phenolics, Proteins, and Enhances Osmotic Stress Tolerance in Mustard - Arambam Devi Asha; Nagarajan Nivetha; Gopinathan Kumar Krishna; Aditi Kundu; Ravindra Kumar Yadav; Nirmali Saikia; Sonth Bandeppa; Chetana Aggarwal; Sangeeta Paul (Journal of Plant Growth Regulation, 2026)

Ethephon Reduces Lodging in Maize by Regulating Structural Engineering Traits: Effects on Elliptical Area Moment of Inertia and Section Modulus - Dušan Dunđerski; Goran Bekavac; Goran Malidža; Božana Purar; Anja Đurić; Maja Tanasković; Jelena Visković; Goran Jaćimović; Dragana Latković (Journal of Plant Growth Regulation, 2026)

Western–Eastern isotopic zonation of the Canary Archipelago reveals spatially organized mantle domains - J. M. Fuenlabrada; E. Ancochea; R. Arenas (Journal of Iberian Geology, 2026)

Projected changes in temperature and rainfall patterns over Kerala under moderate and high emission scenarios - Alfred Johny; P Pranavananth (Journal of Earth System Science, 2026)

Cytotoxic and physiological effects of glyphosate on the marine diatom Thalassiosira excentrica - E. S. Solomonova; N. Yu. Shoman; O. A. Rylkova; A. I. Akimov (Journal of Applied Phycology, 2026)

Simultaneous enhancement of astaxanthin and lipid production and extractability in Haematococcus lacustris photobioreactor cultivation using aminoclay nanoparticles - Aditya Lakshmi Narasimhan; You-Kwan Oh; Dowon Kim; Hyosung Kim; Jisoo Kim; Chan-Ha Park (Journal of Applied Phycology, 2026)

High-throughput assessment of gametophyte survival and growth in the kelp Laminaria ochroleuca through autofluorescence analysis - Francisca Félix; Cícero Alves-Lima; Luís Barreto; Carina Mónico; Ester Serrão; Gareth Pearson; Neusa Martins (Journal of Applied Phycology, 2026)
The viability of kelp microscopic gametophytes is currently analyzed using subjective visual methods based on bright-field (BF) microscope images. Fluorescence microscopy (FM) can be employed, but the dyes used can be toxic and blue/UV light intensity may induce gametogenesis. This study aimed to develop a non-invasive and accurate methodology for assessing gametophyte viability over time, using FM observation of chlorophyll autofluorescence emitted by live gametophytes. Six isolated gametophyte strains of Laminaria ochroleuca (Italy), maintained at CCMAR Biobank, were cultured in triplicate (female, male, and both sexes combined) in Petri dishes containing 10 mL of half-strength Provasoli’s enriched seawater medium (PES), under red light for 1 month. Survival and growth were assessed on days 1, 7 and 14 by photographing 20 fields-of-view, both in BF and FM. Then, cultures were transferred to white light to induce gametogenesis and test whether the autofluorescence analysis (AFA) method affected gametophyte reproduction. Image analysis was performed using FIJI software either by manually counting live gametophytes (survival) and measuring their area (growth), or by implementing a machine-learning (ML) model using FIJI’s WEKA segmentation plugin. Results revealed that both methods were correlated, validating our ML model. However, the AFA method was faster and more accurate than BF image analysis, especially for male gametophytes, and did not compromise reproductive capacity. After 9 days under white light, sporophytes were present in mixed cultures. The AFA method provides a reliable technique for assessing gametophyte viability without compromising gametogenesis.

Mechanistic insights into magnesium- and calcium-mediated pH-dependent flocculation for enhanced recovery of Aurantiochytrium sp. SW1 - Nadzirul Zamri; Nazlina Haiza Mohd Yasin; Aidil Abdul Hamid; Mohamed Yusuf Mohamed Nazir (Journal of Applied Phycology, 2026)

Co-culture of the aerial microalga Coelastrella rubescens KGU-HN001 and the nitrogen fixing-bacterium Rhodobacter sphaeroides under aerial-phase conditions - Nobuhiro Aburai; Tomoka Koike; Takayuki Tsukagoshi (Journal of Applied Phycology, 2026)

Seasonal biochemical variability of Ulva rigida in the Marmara Sea: environmental drivers and relevance for sustainable aquaculture - Deniz Taşçı; Betül Güroy (Journal of Applied Phycology, 2026)

Discovery of Novel Antimicrobial Peptides from Casein via Integrated In Silico and Experimental Approaches: Identification and Mechanistic Insights - Miao Zhang; Zhicheng Wang; Liangbin Li; Haiyang Liu; Jiarun Han; Zhen Wu; Daodong Pan; Tao Zhang; Hui Liu; Maolin Tu (International Journal of Peptide Research and Therapeutics, 2026)

Sociality and nesting strategy account for non-random associations between bees and their parasitic dipterans - C. Polidori; A. Ferrari (Insectes Sociaux, 2026)
Bees (Apoidea: Anthophila) are recorded as common hosts of a diverse array of parasitic Diptera species, but information is widely scattered across the literature, limiting our knowledge of global bee-dipteran association patterns. Here, we retrieved published information on 453 bee-dipteran associations to test the role of life-history traits of hosts and parasites on such patterns. The 13 families and 37 genera of Diptera associated with bees are unevenly distributed across bee families within a specialized and modular network. The family Apidae was the most associated with parasitoids of adults, Colletidae were the most attacked by nest-entering larval parasitoids, Apidae and Megachilidae were the most attacked by non-nest-entering larval parasitoids, and cleptoparasites were more frequently observed attacking Andrenidae and Halictidae nests. The number of parasitic strategies, but not the richness of Diptera, was higher in fossorial species and both weakly depended on bee phylogeny. However, when considered singularly, the four parasitic strategies ((i) parasitoids of adults; (ii) nest-entering larval parasitoids; (iii) non-nest-entering larval parasitoids; and (iv) cleptoparasites) yielded moderate phylogenetic signals. Fossorial species were more associated with cleptoparasites, while the association rate of non-nest-entering larval parasitoids was higher in aerial-nesting bee species and in solitary bee species. In addition, fossorial bee species were found to be more specialised in their associate dipteran fauna. Despite the uneven distribution of studies across bee genera, our results suggest that these associations emerged through co-evolutionary processes, during which dipterans specialized and optimized their parasitic strategies based on the ecological traits of their host bees.

Insect flight: an insect-eye view of flight behaviour in the wild—by John H. Brackenbury - Gema Trigos-Peral (Insectes Sociaux, 2026)

Dimethyl itaconate attenuates dextran sulfate sodium-induced ulcerative colitis in BALB/c mice: investigations on the TXNIP/NLRP3 inflammasome signaling pathway - Priyanka Tiwari; Mohammad Aabis; Vinod Kumar; Gopabandhu Jena (Inflammopharmacology, 2026)

Evaluation of anti-arthritic activity of aripiprazole through multi models: new potential of an old drug - Aroosa Akber; Alamgeer; Hafiz Muhammad Irfan; Shoaib Nawaz (Inflammopharmacology, 2026)

Stress-Induced Reorganization of Root Trait Networks Enables Machine-Learning–Based Trait Prioritization for Phosphorus-Use Efficiency in Lentil - Saikat Chowdhury; Soma Gupta; Muraleedhar Aski; Gyan Prakash Mishra; Renu Pandey; Uttarayan Dasgupta; Bhaskar Chandra Sahoo; Soura Shuvra Gupta; Bijoy Chanda; Harsh Kumar Dikshit (Indian Journal of Genetics and Plant Breeding, 2026)

Comparative analysis of multiple sclerosis burden in China and India from 1990 to 2021 based on the Global Burden of Disease Study 2021 - Zhuo-lei Cai; Fei Dong; Jinyu Ma; Dujun Wang; Wenmin Yi; Lei Cao; Zhi-you Cai (Immunologic Research, 2026)

Clustering of rheumatoid arthritis patients: an unsupervised machine learning approach for characterizing the TNFi response - Pedro Augusto Silva dos Santos Rodrigues; Katarina Mattos Brandão; Lilian de Sá Garcia Landeiro; Laryssa Cardoso Calmon; Almirane Lima de Oliveira; Thamara Barbosa Miranda; João Locke Ferreira de Araújo; Rafael Valente Veiga; Camila Alexandrina Viana de Figueiredo; Pablo de Moura Santos; Ryan dos Santos Costa (Immunologic Research, 2026)
This study aimed to identifydistinct profiles of response to Tumor Necrosis Factor inhibitors (TNFi) in rheumatoid arthritis (RA) patients using unsupervised machine learning to integrate clinical, demographic, and genetic data. A cohort of 294 RA patients was analyzed using hierarchical clustering techniques. Data collected included body mass index (BMI), adherence to physical activity, prevalence of comorbidities, seropositivity, Health Assessment Questionnaire (HAQ) scores, and genetic polymorphisms in TNF pathway. Responders to TNFi demonstrated a more favorable clinical profile, with a lower BMI (25.6 vs. 27.0; p = 0.03), higher physical activity adherence (56.6% vs. 33.3%; p p = 0.02), and improved functionality (HAQ: 0.8 vs. 1.7; p p = 0.04). Clustering analysis identified three distinct subgroups: a better prognosis group characterized by a 73.5% response rate, minimal use of combination therapies, high adherence to physical activity, and male predominance; a poorer therapeutic response group with 82.9% therapeutic failure, intensive medication use, and low exercise adherence; and an intermediate group. TNFi response in RA is multifactorial. Integrating clinical, demographic, and genetic data enables the identification of distinct patient profiles, supporting the development of personalized treatment strategies and the advancement of precision medicine in RA management.

Immunoglobulin-mediated immune dysregulation in recurrent pregnancy loss: mechanisms, biomarkers, and therapeutic perspectives - Kamala C; Pallavi Shekar; Umme Kulsum; Ananya Hegde; Lakshitha V Jayakrishna; Deepa Bhat; Meghana Hangala Shivakumaraswamy; Akila Prashant; Praveen Kumar K S (Immunologic Research, 2026)
Recurrent pregnancy loss (RPL) is a multifactorial reproductive disease that is typified by repeated pregnancy loss with immune dysregulation emerging as a critical contributing factor. Immunoglobulins are among the immune components that are instrumental in preserving tolerance between the mother and the fetus, regulating inflammatory responses, and supporting placental development. This review provides a comprehensive overview of the role of immunoglobulins in recurrent pregnancy loss, with particular emphasis on immune dysregulation, emerging biomarkers, and therapeutic implications. The immunoglobulin profiles, such as the changes in IgG subclasses and the presence of pathogenic autoantibodies, e.g. antiphospholipid and antinuclear antibodies, are highly correlated with unfavourable pregnancy outcomes. These changes, in a mechanistic manner, lead to poor trophoblast invasion, endothelial dysfunction, thrombosis and cytokine imbalance. Emerging evidence also highlights the contribution of regulatory B cells and the antibody-mediated immune network in maintaining pregnancy homeostasis. Immunoglobulin profiling has clinical potential as a diagnostic and prognostic methodology that can be used to stratify patients and provide customised therapy. Immunomodulatory therapies, especially intravenous immunoglobulin (IVIG), are potentially effective in a limited range of patient populations, but clinical response is variable. On the whole, this review demonstrates the role of immunoglobulin-mediated mechanisms in RPL and their future potential in enhancing precision medicine approaches to better diagnosis and management.

Integrative bulk and single-cell transcriptomics identify a recurrence-prognostic risk model with exploratory associations with treatment-response phenotypes in colorectal cancer - Shuai Li; Jingxian Li; Xianyue Bu; Mei Han; Ganggang Shi (Human Cell, 2026)

Disease burden of non-polio enterovirus-associated meningitis in children in G20 countries: an analysis based on GBD data and projections to 2050 - Yan Guo; Jinfu Wei; Yonghan Luo; Jie Zhang (European Journal of Clinical Microbiology & Infectious Diseases, 2026)

The uncontrolled rise of performance peptides: reasons for concern and a call for scientific and regulatory action - Marcel S. B. Arruda; Monique C. Gonçalves; Marcus V. S. Campos; Rafael A. Azevedo; Andresa R. Casale; Jorge Hallak; Hamilton Roschel; Bruno Gualano (European Journal of Applied Physiology, 2026)

Beyond covariate adjustment: body size and sex in the interpretation of the association between pulmonary function and handgrip strength - Nnamdi Mgbemena (European Journal of Applied Physiology, 2026)

Visually identified breakpoints in muscle oxygen saturation are not equivalent to ventilatory thresholds in national-level triathletes - Ignacio Fernández-Jarillo; Jordi Montraveta; Xavier Iglesias; Chris McManus; Philip Skotzke; Diego Chaverri (European Journal of Applied Physiology, 2026)
Purpose Portable near-infrared spectroscopy (NIRS) enables cost-effective monitoring of muscle oxygen saturation (SmO 2 ) during exercise, presenting a promising alternative for delineating exercise intensity domains. This study investigated whether SmO 2 breakpoints (BP 1 and BP 2 ) can provide accurate estimates of ventilatory thresholds (GET and RCP). Methods Twelve male Tier 3 triathletes completed an outdoor incremental TestVAM. Vastus lateralis SmO 2 was recorded using NIRS, alongside pulmonary gas exchange measurements. BP 1 and BP 2 were identified visually. Heart rate (HR) and running speed at BP 1 , BP 2 , GET, and RCP were extracted. The intraclass-correlation coefficient (ICC) was calculated and equivalence between SmO 2 breakpoints and ventilatory thresholds was assessed with equivalence bounds set at 5 bpm for HR and 0.5 km h −1 for speed. Results The ICC(3,1) abs was poor to moderate for all comparisons (range: 0.18–0.69). HR and speed between BP 1 and GET were not equivalent ( p > 0.91), with GET occuring ealier in both HR ( p = 0.014, Δ = − 9.92 bpm, 90% CI [ − 16, − 3.83]) and speed ( p = 0.007, Δ = − 1.29 km h −1 , 90% CI [ − 1.99, − 0.59]). Similarly, BP 2 and RCP were not equivalent ( p > 0.98), and both HR (Δ = − 9.3 bpm, 90% CI [ − 12.18, − 6.42]) and speed (Δ = − 1.75 km·h −1 , 90% CI [ − 2.33, − 1.17]) occuring earlier at RCP ( p Conclusion In this sample, SmO 2 breakpoints did not fullfill criterion validity against ventilatory thresholds and therefore should not be used for determining exercise intensity domains. Further research should evaluate their equivalence using robust detection methodologies in larger samples.

Analytical approaches to account for muscle size when evaluating strength - Matthew A. Chatlaong; John P. Bentley; Kealey J. Wohlgemuth; Scott J. Dankel; Jeremy P. Loenneke; Matthew B. Jessee (European Journal of Applied Physiology, 2026)
Skeletal muscle strength is multifactorial. Although associated, skeletal muscle size and strength often change disproportionately following resistance training with different loading paradigms. Examining strength relative to muscle size has been used to evaluate the potential contribution of muscle growth or other factors (e.g., neural or intramuscular adaptations) that occur with strength changes. Moreover, as muscle size could explain differing strength between individuals, comparisons of strength per unit of muscle size are sometimes used to account for differences in strength related to size. Several analytical approaches can be used to account for or hold muscle size fixed when evaluating strength. Based on prior work in sports medicine and other fields, we explored the use of ratio normalization and multiple regression techniques. Data from NHANES (1999–2002) and a previous investigation from our group were used in analysis demonstrations. In synthesizing and applying recommendations from previous work, we highlight some nuances and complexities with ratio normalization that may not be readily apparent without testing assumptions.

Water at risk: conflict-driven vulnerabilities in desalination-dependent systems - Masoud Irannezhad; Maryam Hassani Nezhad Gashti (Environmental Sustainability, 2026)

Seasonal heavy metal mobilization in a tropical artisanal mining system: a source-to-receptor assessment - AbdulGaniyu Isah; Olabanji Adeolu Ojo; Tesleem Olalekan Kolawole; Olukole Adedeji Akinbiyi (Environmental Science and Pollution Research, 2026)

Productivity-based sampling for field-scale soil organic carbon mapping: from regional models to carbon farming needs - Milutin Pejović; Milan Kilibarda; Dragutin Protić; Branislav Bajat (Environmental Monitoring and Assessment, 2026)

A machine learning approach to predict river hydrographs for water quality sampling - Eloise Wilson; Melanie Shaw; Frederick Bennett; Zoe Bainbridge; Stephen Wallace; Ryan Turner (Environmental Monitoring and Assessment, 2026)
Hydrology and water quality are innately linked, as flow dynamics control the transport of pollutants within river systems. Consequently, the timing of sample collection in water quality monitoring programs strongly influences the accuracy of estimated pollutant loads. To minimise error, concentrations should be sampled across the hydrograph, capturing the rising limb, peak, and falling limb, to reflect the dynamic nature of pollutant transport. However, in river systems with variable flow regimes, predicting the timing and duration of events is challenging. Monitoring programs often resort to oversampling to ensure that critical periods are represented, but this approach increases effort and cost. In this study, we apply probabilistic gradient boosting decision tree regression (CatBoost) to forecast river height in a tropical, fast-response catchment characterised by high-flow variability, using hourly rainfall, discharge, and river height data collected over a 15-year period. Model performance was evaluated across forecast horizons ranging from 1 to 48 h. The models reproduced hydrograph magnitude, shape, and timing with high accuracy at short horizons (1–12 h), while forecast confidence and accuracy declined progressively at longer horizons (24–48 h). Forecast performance also varied across flow regimes: low flows were predicted accurately across all horizons, moderate flows reliably up to the 24-h horizon, and high flows up to the 12-h horizon. Predictive skill declined for extreme events; however, forecasts remained operationally valuable up to the 12-h horizon. These findings highlight the potential for short-term forecasts to support adaptive, resource-efficient sampling programs and reduce reliance on oversampling while maintaining pollutant load accuracy.

The spatiotemporal evolution and driving factors of environmental governance efficiency in China’s industrial and mining cities - Qiguo Li; Lin Yang (Environment, Development and Sustainability, 2026)

Understanding Contributions to Particulate Filter Backpressure Using an Analytic Model - Timothy C. Watling (Emission Control Science and Technology, 2026)

Pollutant Adaptive Forecasting of India’s Greenhouse Gas and Air Pollutant Emissions Using Bayesian Dynamic Regression and Conformal Prediction - Ravikiran Chintalapudi; Dadhu Venkata Raghunatha Reddy; Gangadhara Rao Ponugoti; Lodd Battu Bharath Raju; Sunanda A.; Saritha P.; Bahiru Bewket Mitikie (Emission Control Science and Technology, 2026)
Reliable multi-pollutant emission forecasts are needed to coordinate climate mitigation and air quality management. This study developed a Pollutant Adaptive Bayesian Dynamic Regression and Conformal Prediction framework (PA-BDR-CP-X) for India’s methane (CH 4 ), carbon dioxide (CO 2 ), nitrous oxide (N 2 O), oxides of nitrogen (NO x ) and particulate matter 2.5 micrometers (PM 2.5 ) emissions using annual EDGAR emissions, version EDGAR_2025_GHG, and socioeconomic, energy and agricultural covariates for 1970–2024. Its contribution is a workflow that selects a forecasting structure separately for each pollutant from trend-only or covariate augmented Bayesian dynamic regression, autoregressive integrated moving average (ARIMA) and exponential smoothing (ETS), and then applies conformal uncertainty calibration. Models were assessed using a fixed 2020–2024 test and 90 expanding window rolling origin forecasts per pollutant. In the fixed test, covariate augmented PA-BDR-CP-X reduced root mean square error (RMSE) relative to the best ARIMA/ETS benchmark by 35.07% for CH 4 and 18.56% for PM 2.5 . Rolling origin validation selected trend-only PA-BDR-CP-X for CH 4 and PM 2.5 , ARIMA for CO 2 and N 2 O, and ETS for NO x , demonstrating why no single model family should be imposed across pollutants. After full sample refitting, projected increases from 2025 to 2035 ranged from 12.34% for CH 4 to 37.96% for CO 2 . The 95% conformal intervals covered all 35 rolling origin evaluation forecasts per pollutant, but their width indicates conservative uncertainty bounds rather than precise or guaranteed future coverage. The forecasts provide statistical baselines for coal and energy transition planning, fertilizer and nitrogen use management, methane control in livestock, rice and waste systems, and combustion-emission controls for NO x and PM 2.5 .

Correction: A self-unfolding polymer foil loaded with a permeation enhancer Ionogel for superior oral peptide delivery - Konstantinos Raptis; Reece McCabe; Marta Rubio-Huertas; Stine Rønholt; Lasse Saaby; Lasse Højlund Eklund Thamdrup; Mahdi Ghavami; Khorshid Kamguyan; Hanne Mørck Nielsen; Anja Boisen (Drug Delivery and Translational Research, 2026)

Imaging of intranasal drug delivery to the brain: updated review 2.0 - Hannah E. Beaven; Marina R. Schinker; Thura Tun Oo; Kylie R. Smith; Mosa Alhamami; Michael C. Veronesi (Drug Delivery and Translational Research, 2026)
Since the first review on imaging of intranasal drug delivery (INDD) was published in 2020, interest in the topic has increased, necessitating an update, which is the basis of the current review. INDD is a promising alternative for treating central nervous system (CNS) diseases. In vivo imaging is also important for therapy assessment, both clinically and preclinically. This review details studies that further our understanding of INDD and the fate of these therapies in the CNS using in vivo imaging. We performed a literature search using the keywords “Intranasal delivery” and “Imaging” from 2020 to 2025 and summarized these findings in the current updated review. This review is not comprehensive but provides examples of recent publications that explore the various treatments under development for nose-to-brain (N2B) therapeutic delivery through imaging. Imaging will include magnetic resonance imaging (MRI), positron emission tomography (PET), single-photon emission computed tomography (SPECT), gamma scintigraphy, and computed tomography (CT) for both humans and animals. Additional specialty topics pursued experimentally in animals include in vivo optical imaging techniques, including bioluminescence and fluorescence imaging. Finally, we discuss image-guided therapeutic techniques such as focused ultrasound and conclude with future directions. In this review, we introduce each imaging modality, describe its utilization, and outline its strengths and weaknesses, specifically in the context of N2B therapeutics.

The Mental Health Impacts of Wildfire Exposure: A Scoping Review of the Quantitative Evidence - Katharine A. Teigen; David M. Coomes; Amruta Nori-Sarma; Joan A. Casey (Current Environmental Health Reports, 2026)
Wildfires are increasing in frequency and intensity worldwide, with growing evidence linking wildfire exposure to adverse mental health outcomes. This scoping review aimed to summarize and critically assess the existing quantitative literature on wildfire-related mental health impacts. We searched PubMed, Web of Science, and Google Scholar to identify studies published between 2000 and 2025, which we analyzed to understand how wildfires were investigated, evaluate how exposure was measured, assess mental health outcomes, and identify persistent gaps in the literature. Of 251 unique manuscripts identified, 85 met inclusion criteria. Studies were primarily conducted in Australia (34.1%), Canada (31.8%), and the United States (29.4%), with limited representation from Greece, Italy, Israel, South Korea, and Spain. Exposure assessment methods varied widely, where 21.2% of studies considered everyone uniformly exposed. Other exposure assessment methods used were evacuation status, questionnaires, researcher-ascribed loss severity, and spatio-temporal proximity. Depression was the most frequently studied outcome (evaluated in 58.5% of studies), followed by post-traumatic stress disorder (52.9%) and anxiety (48.2%). Other outcomes included insomnia, suicidality, substance use, and resilience. Most studies reported elevated adverse mental health following wildfires, though findings varied. Multiple aspects of wildfire exposure, including direct exposure, seeing flames or smoke, and being evacuated were consistently associated with adverse mental health outcomes. Limitations in the literature included non-standardized exposure assessments, limited geographic diversity, and a shortage of rigorous epidemiologic study designs. Addressing these gaps is essential to improving understanding of wildfire-related mental health impacts and informing public health responses.

Comprehensive mapping of Neurofibromin (NF1) expression in developing mouse brain - Vishal Lolam; Achira Roy (Brain Structure and Function, 2026)

Predicting big five personality traits from resting-state EEG connectivity: a connectome predictive modeling study - Chu Zhang; Yao Liu; Yiting Long; Siyuan Hu; Ming Li; Wenkai Bai; Yiting Li; Can Cui; Can Gao (Brain Structure and Function, 2026)

Using Industry-Led Design Competitions to Prepare BME Students for Professional Practice - Walt Baxter; Isgard S. Hueck; Bret Hauser; Sajith Anantharaman; Chloe Chung (Biomedical Engineering Education, 2026)

Retraction Note: Bond graph analysis of a three-link physiological motor control system: integrating simulation and muscle behavior - Armeen Saeed; Nadia Sultan; Najam-ul-Islam Muhammad; A. M. Mughal (Biological Cybernetics, 2026)

Detection of spiking motifs of arbitrary length in neural activity using bounded synaptic delays - Thomas Kronland-Martinet; Stéphane Viollet; Laurent U. Perrinet (Biological Cybernetics, 2026)

Nanoencapsulated α-lipoic acid reduces the negative effects of high soybean meal diets in the white shrimp, Penaeus vannamei - Adrián Rios-Ortiz; Andrea Manriquez-Patiño; Itandehui Betanzo-Gutiérrez; Rafael Vazquez-Duhalt; María Teresa Viana (Aquaculture International, 2026)