Architectural design of bilayer metal-organic Frameworks on nanotubes for photo-supercapacitor applications - Nadiya Nadi Chadegani; Mohammad Kaikhosravi; Moahamad Mohsen Momeni; Byeong-Kyu Lee (Chemical Engineering Journal, 2026)

A chemical kinetic mechanism for ammonia/natural gas/diesel blends: Development, optimization and multi-scale validation - Amir Hossein Fakhari; Ayat Gharehghani; Mohammad Mahdi Salahi; Amin Andwari (Chemical Engineering Journal, 2026)

Fine-tuning the mechanical and degradation properties of chemically crosslinked hyaluronic acid hydrogels through salt treatment - Mohammad Moeini; Tesnime Hidjir; Sebastian Mafeld; Naomi Matsuura (Carbohydrate Polymers, 2026)

Enhanced spinal cord injury repair by nerve extracellular matrix/carboxymethyl chitosan /oxidized alginate hydrogel containing OE-MSCs - Elham Seidkhani; Soraya Mehrabi; Fatemeh Moradi; Rafieh Alizadeh; Mohamad Pezeshki-Modaress; Mohammad Taghi Joghataei (Carbohydrate Polymers, 2026)

Effects of silver nanoparticles on the morphology and membrane permeability of giant unilamellar vesicles and their mechanistic insights - Zarin Tasnim Rakhy; Tawfika Nasrin; Mir Jubair Ahamed; Md. Masum Billah; Md. Wahadoszamen; Aminul I. Talukder; Mohammad Abu Sayem Karal (Chemistry and Physics of Lipids, 2026)

Evaluation of localized radiant heating effectiveness and physiological response in an electric vehicle cabin - Mohammad F.B. Suhaimi; Woo Geun Kim; Chung-Won Cho; Jung Kyung Kim; Hyunjin Lee (Building and Environment, 2026)

Study on parameter calibration of urban land surface models based on multi-objective bayesian optimization - Qi Li; Qiong Li; Sisi Chen; Xiang Zhang; Stephan Pauleit; Mohammad A. Rahman (Building and Environment, 2026)

A comprehensive review of neuroarchitecture measurement tools and methods - Ali Jaberi; Mohammad Tahsildoost; Setayesh Rezvani; Amirreza Ardekani (Building and Environment, 2026)

Sustainable valorization of leachate at Lakhodair landfill, Lahore: An integrated life cycle environmental and economic assessment of biogas production - Mehak Saghir; Aqsa Ayub; Abdul-Sattar Nizami; Mujtaba Baqar; Hesam Kamyab; Muhammad Waqas; Mohammad Rehan; Zaki-ul-Zaman Asam (Biomass and Bioenergy, 2026)

Biological application of fruit peels fermentation: A sustainable approach to biomedical - Afiqah Mohammad; Siti Alwani Ariffin; Amyra Hazwani Ghazali; Wan Zuraida Wan Mohd Zain (Bioresource Technology Reports, 2026)

Enhancing groundwater denitrification in permeable reactive barriers using citric acid-fed Pseudomonas spp - Zahra Vesali; Vahideh Sheykhy; Mohammad Zare (Bioresource Technology Reports, 2026)

Copper- and zinc-based metal-organic frameworks (MOFs) as sustainable algicides: Effective inhibition of Karenia selliformis blooms and toxin production with ecotoxicological assessment on Artemia salina - Mohammad Sadiq Nikzad; Jiangbing Qiu; Guixiang Wang; Natnael Sisay Demo; Jinglin Liu; Aifeng Li (Aquatic Toxicology, 2026)

Linking dust source susceptibility mapping and land use change in Middle East - Mahdi Boroughani; Mahnaz Naemi; Sima Pourhashemi; Mohammad Ali Zangane Asadi; Ali Al-Hemoud; Ghadeer Al-Qadeeri (Atmospheric Pollution Research, 2026)

Hydrothermal Synthesis and Photocatalytic Performance of CQDs/TiO₂ Nanocomposites for CIP Removal - Qurtulen Qurtulen; Asrar Ahmad; Mohammad Mujahid; Omar Al-Hartomy; Prince Mufti Ziaul Hasan (Water, Air, & Soil Pollution, 2026)

Estimating Financial Flood Damages in Residential and Commercial Regions: A Global Depth-Damage Approach - Sakineh Koohi; Asghar Azizian; Mohammad Saeid Najafi; Chiara Arrighi (Water Resources Management, 2026)

Explainable Artificial Intelligence in Hydrology: A Review - Mohammad Zounemat-Kermani; Marwan Kheimi (Water Resources Management, 2026)

An Integrated VMD-CNN-GRU Framework for Multi-Horizon Forecasting of Water Quality Dynamics - Mojtaba Sabagh Torkan; Abbas Hekmatiyan; Mohammad Hashemzadeh; Amin Karbasi Ahvazi; Farshad Hesamfar; Mohammad G. Zamani (Water Resources Management, 2026)

Comparative Performance Evaluation of Machine Learning Models for Predicting Water Yields in Desiccant-Driven Water Harvesting System - Mehrdad Ghiyasvand; Elshan Soltani; Mohammad Reza Salimi (Water Resources Management, 2026)

Segment-based analysis of ecological networks in urban river riparian zones under land use change - Maryam Masoumi; Amin Sarang; Mojtaba Ardestani; Mohammad Hossein Niksokhan (Urban Ecosystems, 2026)

Spatiotemporal analysis of the forest tree dieback patterns using aerial remote sensing data and clustering pattern indices - Mohammad Hassan Naseri; Shaban Shataee Jouibary; Hashem Habashi (Trees, 2026)

Capsule Network for Prediction of Permeability Tensor from X-ray Images of Porous Media - Mehdi Mahdaviara; Amir Raoof; Mohammad Sharifi (Transport in Porous Media, 2026)

Feasibility of a Multi-Laboratory Model of Middle Cerebral Artery Thromboembolic Stroke with Thrombolysis: TE-MCAo - Michelle Lin; Mozammel Bhuiyan; Carly McCurry; Jessica Lamb; Marcio A. Diniz; Karni Bedirian; Anil K. Chauhan; Abhishek Jha; Aditi Jain; Enrique C. Leira; Rakeshkumar Patel; Mohammad B. Khan; et al. (Translational Stroke Research, 2026)
No single animal stroke model satisfies all needs of translational stroke investigation. While the nylon filament model is widely accepted in preclinical translational stroke research, thromboembolic models have more physiological relevance. Thromboembolic models are technically difficult, time consuming, and show variable results, making them problematic for multi-laboratory preclinical network use. We sought to develop and validate a multi-laboratory thromboembolic middle cerebral artery occlusion model that encompasses vessel occlusion and subsequent thrombolysis. To reduce the numbers of donor animals used, we developed a method to store donor blood for later use. Using prefabricated microcatheters, we simplified thrombus preparation and handling. Emboli were prepared in microcatheters and injected directly into the middle cerebral artery from the internal carotid artery. For thrombolysis we used intravenous Tenecteplase dosing at 1.5 mg/kg. To demonstrate feasibility and ease-of-use, the model was implemented at six research laboratories. We wrote and field-tested standard operating procedures, training videos, and hands-on surgical training workshops. We enrolled 170 Sprague Dawley rats of both sexes at six laboratories who performed 4 to 6 thrombus embolizations per week. All sites could achieve reproducible occlusion and thrombolysis. Thromboemboli prepared from stored blood served as well as emboli from freshly drawn blood. Of 135 rats who received one embolus, 33 (24%) died before 48-hour MRI scan. In survivors, stroke volume was 13 ± 16% of the ipsilateral hemisphere. Occlusions were seen in the MCA in 15%, distal ICA in 19%, both (T-occlusions) in 2% and in the MCA/ACA in 1%. Corner test, neurobehavioral battery, and MRI showed reasonably consistent stroke injury. We established the feasibility and reproducibility of a multi-laboratory rodent thromboembolic model but further development is needed to improve the success rate and lower the mortality rate before this model can be accepted widely.

Outcomes of Bypass Surgery in Patients with Moyamoya Syndrome Secondary To Sickle Cell Disease: a Multicenter Study - Basel Musmar; Joanna M. Roy; Hammam Abdalrazeq; Celine Yacoub; Nimer Adeeb; Antony A. Fuleihan; Sravanthi Koduri; Michael Baldassari; Matthews Lan; Pious Patel; Arbaz A. Momin; Elias Atallah; et al. (Translational Stroke Research, 2026)

Structural diversity of Ym2, a gene conferring resistance against Wheat yellow mosaic virus - Wenjing Xu; Xiaoyi Xu; Kohei Mishina; Youko Oono; Shun Sakuma; Mohammad Pourkheirandish; Assaf Distelfeld; Xiaoxue Zeng; Xiaolu Wang; Baoqiang Li; Takao Komatsuda; Cheng Liu (Theoretical and Applied Genetics, 2026)

CEEMDAN-VMD-GRU-ELM: an advanced model for spatiotemporal predictions of ozone concentration - Fatemeh Kafi; Elham Yousefi; Mohammad Ehteram; Khosro Ashrafi (Theoretical and Applied Climatology, 2026)

Synergistic Effects of Multi-walled Carbon Nanotubes and Plant Growth Regulators on In Vitro Morphogenesis of Sugarcane (Saccharum spp. L.) - Aneela Iqbal; Raham Sher Khan; Karim Gul; Muhammad Aizaz; Mohammad Tahir; Hazir Rahman; Douglas Law; Ayaz Ahmad (Sugar Tech, 2026)

Jiffy Pellets from Sugarcane Waste: A Novel Substrate for Seedling Production - Hamed Gahrouei; Mahmoud Ghasemi-Nejad-Raeini; Navab Kazemi; Bijan Khalili Moghadam; Mohammad Reza Zare Bavani (Sugar Tech, 2026)

Pump scheduling optimization in water distribution networks, including short-term demand forecasting by deep learning - Hossein Namdari; Amin E. Bakhshipour; Seyed Mohammad Ashrafi; Ali Haghighi (Sustainable Water Resources Management, 2026)

Bayesian semi-parametric spatial modeling of dispersed count data with INLA: applications in public health and climate risk - Mahsa Nadifar; Andriette Bekker; Mohammad Arashi; Abel Ramoelo (Stochastic Environmental Research and Risk Assessment, 2026)

Daily river water temperature prediction using regularized greedy forest enhanced TVF-EMD and empirical Fourier decomposition - Salah Difi; Fabio Di Nunno; Francesco Granata; Ozgur Kisi; Salim Heddam; Sungwon Kim; Mariusz Ptak; Mariusz Sojka; Mohammad Zounemat-Kermani (Stochastic Environmental Research and Risk Assessment, 2026)

Current Developments of CAR-T and CAR-NK Cell Therapies for Ovarian Cancer - Alireza Azani; Sahar Hasani; Malihe Sharafi; Hossein Gharedaghi; Reyhaneh Doachi; Fatemeh Ahangari; Fatemeh Asadi; Haniyeh Ghasrsaz; Hassan Foroozand; Mahnaz Baradaran; Parsa Lorestani; Mohammad Mehdi Monazah; et al. (Stem Cell Reviews and Reports, 2026)

Hormonal modulation alleviates heavy metal toxicity in wheat (Triticum aestivum L.) by regulating redox balance, cellular integrity, and growth dynamics - Arwa Abdulkreem AL-Huqail; Muna Abdul-Rahman Al-Malki; Dalia Mohammad Melebari; Hanan El Sayed Osman; Dikhnah Alshehri; Suliman Mohammed Suliman Alghanem; Amany H. A. Abeed (Physiology and Molecular Biology of Plants, 2026)

Unveiling the ameliorative effects of soil-mediated nano-biochar and calcium oxide nanoparticles on drought tolerance in Oryza sativa: insights into biochemical responses, reactive oxygen species, photosynthetic pigments and nutrient homeostasis - Ugur Bilge; Vishnu D. Rajput; Abdullah Eren; Mehmet Yalcin; Yawar Habib; Mohammad Faizan (Physiology and Molecular Biology of Plants, 2026)

Novel effects of vericiguat, alone and combined with high-intensity interval training, on brain function in mice with breast cancer: a histopathological and behavioral study - Arsalan Safaee; Reza Kheirandish; Mohammad Amin Rajizadeh; Maryam Hossein Rezaei; Elham Madadizadeh; Mohammad Mehdi Bagheri; Fatemeh Majidpour; Hamideh Bashiri; Kayvan Khoramipour (Naunyn-Schmiedeberg's Archives of Pharmacology, 2026)

Campesterol attenuates airway inflammation in allergic asthma: insights from a murine model and molecular docking analysis - Hafsa Abid; Aisha Mobashar; Arham Shabbir; Hossam Kamli; Ammara Saleem; Narmeen Mehmood; Amir Ali; Shoaib Kakar; Mohammed Dauelbait; Amir Bouallegue; Mohammad Khalid; Omar A. Almohammed (Naunyn-Schmiedeberg's Archives of Pharmacology, 2026)

Modulation of Lingo-1 and NMDA receptor expression by memantine and vitamin D3 co-therapy attenuates motor and non-motor symptoms in essential tremor - Zeynab Pirmoradi; Mehran Ilaghi; Fatemeh Shahsavari; Leila Bagherzadeh; Kristi A. Kohlmeier; Monavareh Soti; Mohammad Shabani (Naunyn-Schmiedeberg's Archives of Pharmacology, 2026)

Therapeutic impacts of oral anti-diabetic drugs on Inflammatory Bowel Disease (IBD), a comprehensive review of clinical and preclinical studies - Amirhossein Niknejad; Yasamin Hosseini; Mohammad Amin Nazari Manesh; Maryam Navabakhsh; Amirreza Peyrovinasab; Helia Mavaddat; Mahdis Sadat Miri; Mahdiyeh Hosseini; Dietrich Büsselberg; Amir Hossein Abdolghaffari (Naunyn-Schmiedeberg's Archives of Pharmacology, 2026)

The effect of Edaravone on acute ischemic stroke, large vessel occlusion, not treated with intravenous thrombolytic, and endovascular thrombectomy: a double-blind placebo-controlled trial - Saeed Razmeh; Amir Mohammad Dashti; Narges Roustaie; Rozina Abbasi larki; Amir Hassan Habibi (Naunyn-Schmiedeberg's Archives of Pharmacology, 2026)

Assessment of antiemetic potential of schaftoside through modulation of dopaminergic, serotonergic and muscarinic signaling pathways: in vivo and in silico investigations - Md. Shakil Ahmmed; Rakib Hossan; Tawfik Rakaiyat Ripu; Towfiqur Rahman; Mohammad Y. Alshahrani; Emon Mia; Proma Mandal; Md. Sakib Al Hasan; Md. Mizanur Rahaman; Muhammad Torequl Islam (Naunyn-Schmiedeberg's Archives of Pharmacology, 2026)

Protective effect of trans-sodium crocetinate on nephrotoxicity induced by cisplatin: in vitro and in vivo models - Danial Esmaeilzadeh; Mohammad Shariati Rad; Majid Keshavarzi; Homa Fazeli Kakhki; Hossein Hosseinzadeh; Abolfazl Khajavi Rad; Sakineh Amoueian; Bibi Marjan Razavi (Naunyn-Schmiedeberg's Archives of Pharmacology, 2026)

Protective effect of thymoquinone against acrylamide-induced hepatotoxicity in the rat: role of MAPK and apoptosis pathways - Shirin Ghasemian; Soghra Mehri; Jamshid Tabeshpour; Mohammad Reza Zirak; Fatemeh Nezhadhosein; Hossein Hosseinzadeh (Naunyn-Schmiedeberg's Archives of Pharmacology, 2026)

The immunoregulatory role of lncRNA UCA1: a pan-cancer perspective with a focus on colorectal cancer - Fatemeh Maghool; Parisa Kadkhodaei Elyaderani; Ahmadreza Rajabi; Fatemeh Balangi; Aida Heidari; Samane Mohammadzadeh; Mohammad Hassan Emami; Pouria Samadi (Naunyn-Schmiedeberg's Archives of Pharmacology, 2026)

Microencapsulated Lactiplantibacillus plantarum ZGP-Lpl.19 modulates growth and virulence gene expression of Shigella flexneri ATCC 12022 in vitro - Zahra Ghorbani; Mohammad Shayestehpour; Mohammad Esmaeil Shahaboddin; Azad Khaledi; Merat Karimi; Reyhaneh Maleki; Mitra Motallebi (Naunyn-Schmiedeberg's Archives of Pharmacology, 2026)

Modeling human adaptation to ice-jam flood risk: a calibrated agent-based policy evaluation framework - Mohammad Ghoreishi; Brandon Bellows; Karl-Erich Lindenschmidt (Natural Hazards, 2026)

Large Language Models and Geoscience Transformers for Predictive Mapping of Canadian Critical Minerals - Mohammad Parsa; Renato Cumani; Hossein Jodeiri Akbari Fam; Bilal Tawbe (Natural Resources Research, 2026)
Data-driven MPM (mineral prospectivity mapping) of critical minerals, which are elements or minerals with strategic importance and high supply chain risk, is vital for national land use planning. Recently, MPM has been practiced using supervised machine learning classification algorithms. However, applying such algorithms to Canadian critical minerals presents two major challenges. The first stems from the nature of geological knowledge, which is primarily stored in unstructured text. However, most supervised machine learning algorithms struggle to directly incorporate this textual information into predictive models. The second challenge arises from the limited number of known mineral deposits associated with many critical minerals in Canada, resulting in insufficient training labeled data for supervised classification tasks. To address the first challenge, this study employed natural language processing (NLP) techniques and large language models (LLMs) to extract and transform geoscientific knowledge embedded in geoscience text corpora into predictive features for MPM. LLMs operate based on transformer deep learning architectures that use self-attention mechanisms to capture contextual relationships within natural language. A domain-specific LLM, which was fine-tuned in this study and evaluated using geology-related inquiries, was employed for MPM. To address the second challenge, a separate transformer model was developed using a self-supervised learning approach that integrates diverse geophysical, geochronological, and textual data, eliminating the dependency on a substantial number of labeled training samples. The prospectivity model generated using the proposed transformer model significantly reduced the search space—by an average of 87%—for the targeted type of mineral deposits. The findings of this study demonstrate the effectiveness of transformer-based architectures and LLMs in overcoming key limitations of modern MPM approaches for critical mineral exploration.

Leveraging Pre-existing Geological Model to Generate Multiple Realizations of Geological Domain Through Machine Learning Algorithms - Daniel Baeza; Mohammad Maleki; Emmanouil A. Varouchakis (Natural Resources Research, 2026)

Intelligent Prediction of Flyrock Hazards in Surface Mining Using Optimized Gradient Boosting Models - Mohammad Matin Rouhani; Mahdi Hasanipanah; Xin Yin; Iman Ahmadianfar; Hesam Dehghani (Natural Resources Research, 2026)

Deciphering the inhibitory mechanisms of Interleukin-17A through dynamic molecular insights: a path toward novel anti-inflammatory therapies - Afsheen Razzaq; Madiha Sardar; Mamona Mushtaq; Yan Wang; Mohammad Nur-e-Alam; Zaheer Ul-Haq (Molecular Diversity, 2026)

Drug repurposing for renin inhibition: identifying panobinostat for hypertension management - Nisha Bansal; Mohammad Khalid Parvez; M. Arockia Babu; Mohammed S. Al-Dosari; Thakur Gurjeet Singh; Nemat Ali; Umesh Yadav; Ganesh Bushi; Abhay M. Gaidhane (Molecular Diversity, 2026)

Pyrazole in drug development: a medicinal-chemistry based analysis of USFDA-approved drugs in last decade - Nisha Bansal; Elagandhula Sathish; M. Arockia Babu; Ganesh Bushi; Abhay M. Gaidhane; Thakur Gurjeet Singh; Damini Singh; Glowi Alasiri; Mohammad Fareed; Bhupinder Kumar (Molecular Diversity, 2026)

Computational mechanistic insight of fungal metabolites for novel acetylcholinesterase inhibitors - Hadeel Alyenbaawi; Mohammed Alsaweed; Qazi Mohammad Sajid Jamal; Mohammad Rehan Asad; Syed Mohd Danish Rizvi; Fuzail Ahmad; Mehnaz Kamal; Danish Iqbal (Molecular Diversity, 2026)

Harnessing virtual screening and MD simulations: a multistage approach to identifying potent and nontoxic agonists for protein kinase A - Muneeb Ali; Nadeem Ahmad; Madiha Sardar; Sajjad Haider; Mamona Mushtaq; Mohammad Nur-e-Alam; Mohammed F. Hawwal; Pinghua Sun; Zaheer Ul-Haq (Molecular Diversity, 2026)

Bioactivity of novel isoxazole-fused heterocycles: comprehensive antimicrobial, antioxidant activities, SwissADME predictions, molecular docking, and DFT analysis - Mohamed A. M. Abdel Reheim; Moaz M. Abdou; Mohamed S. A. El-Gaby; Mohammad Hasan Al-Omari; Ahmed Abu-Rayyan; Waleed H. Al-Assy; Hala M. Refat; Ahmed A. M. Sarhan; Ibrahim S. Abdel Hafiz (Molecular Diversity, 2026)
Among the foremost goals for organic chemists is to discover novel approaches for the synthesis of a particular heterocyclic and its design. Our approach focused on the vital precursor 4-acetyl-3-phenylisoxazol-5(4 H )-one 3 , as this molecule has an endocyclic carbonyl function in position 5 adjacent to the substituted acetyl function at site 4. Therefore, compound 3 was a crucial component of many types of fused isoxazole. The investigators provide a straightforward synthesis of fused isoxazole from the following categories: pyrano[3,2- d ]isoxazole 4 & 6 , isochromeno[4,3- d ]isoxazole 5 , isoxazolo[4',5':5,6]pyrano[3,4- c ]pyridine 7 , thieno[3',4':4,5]pyrano [3,2- d ]isoxazole 8 , pyrazolo[4,3- d ]isoxazole 10a,b and 11a,b , and isoxazolo[4,5- c ]pyridazine derivatives 14a,b . The target compounds and their structures were supported by the results of 1 H-NMR, IR and mass spectroscopy. Molecular docking studies highlighted strong binding affinities to bacterial enzymes crucial for cell wall synthesis, while DFT calculations provided deep insights into their electronic properties and stability. Additionally, the antioxidant potential of compounds 11a,b was assessed using DPPH and ABTS assays, showing impressive concentration-dependent activity. Addressing the critical issue of antibiotic resistance, especially due to β-lactamases, molecular docking affirmed the high binding propensity of these derivatives with essential β-lactamase proteins (PDB: 1CK3, 6MU9, and 6W2Z). These findings underscore the promise of isoxazoline derivatives as powerful antimicrobial and antioxidant agents, paving the way for further development in combating bacterial resistance and oxidative stress.

Analysis of saltwater interference in desert aquifers with numerical models (Sarayan Aquifer- Iran) - Hamid Kardan Moghaddam; Rayehe Mirkhani; Mahsa Jabbari; Mohammad Mirzavand (Modeling Earth Systems and Environment, 2026)

Evaluating the role of dimensionality and complexity structure in time series models for precipitation simulation - Issam Rehamnia; Mohammad Nazeri Tahroudi; Mehri Saeidinia (Modeling Earth Systems and Environment, 2026)

Nonlinear dynamics and memory effects of an eco-epidemiological model: a bifurcation study with Allee thresholds and behavioral feedback - Mohammad Sharif Ullah; Eymard Hernandez-Lopez; Jin Wang (Modeling Earth Systems and Environment, 2026)

Aluminum phosphide as a model for exploring acute mitochondrial disorders - Saeed Aghebat-Bekheir; Shirin Hekmatirad; Nasim Asar; Mohammad Abdollahi (Molecular & Cellular Toxicology, 2026)

Multimodal brain-computer interface for robotic control: integration of real-time gaze tracking and EEG-based motor imagery - Chandresh Palanichamy; Subash Palaniappan Thirumoorthi; Kishor Lakshminarayanan; Deepa Madathil; Mohammad Habibur Rahman (Medical & Biological Engineering & Computing, 2026)

A computationally efficient biomedical text processing framework for pharmacovigilance: integrating low-rank adaptation and interpretable AI for adverse drug reaction detection - Zahra Rezaei; Sara Safi Samghabadi; Mohammad Amin Amini; Yaser Mike Banad (Medical & Biological Engineering & Computing, 2026)
Early detection of adverse drug reactions (ADRs) is crucial for patient safety but remains challenging due to underreporting and delayed data in traditional pharmacovigilance. This study proposes a computationally efficient and interpretable framework for ADR detection by integrating Low-Rank Adaptation (LoRA) and SHapley Additive Explanations (SHAP) with encoder-based transformer models (BERT, DistilBERT, RoBERTa). Leveraging over 3,900 annotated tweets, our approach demonstrates that LoRA reduces trainable parameters and training costs by up to 50%, while preserving high classification accuracy (above 98%) across three disease classes. SHAP analysis provides actionable interpretability, revealing that the models consistently rely on clinically relevant terms, such as drug names and symptoms, to drive predictions. Compared to traditional finetuning, LoRA and Efficient Finetuning of Quantized LLMs (QLoRA) offer a robust and scalable alternative for processing noisy, informal social media data, making real-time ADR monitoring feasible in resource-constrained healthcare settings. This framework strikes a balance between computational efficiency, interpretability, and predictive performance, supporting the integration of pharmacovigilance into clinical decision support systems for safer patient care. Graphical Abstract

Investigating the Effects of Sea Anemone (Stichodactyla haddoni) Toxin on Potassium and Sodium Channel Gene Expression and Cell Death Mechanisms in A549 Cells - Media Abdollahian; Latifeh Karimzadeh Bardeei; Mohammad Nabiuni; Mostafa Pourfallah (Marine Biotechnology, 2026)

Impact of insect growth regulators on beneficial insects: a comprehensive review - Mohammad Ikram; M. R. Srinivasan; A. Suganthi; V. R. Saminathan; J. Auxcilia; M. Jayakanthan; Bimal Kumar Sahoo; Sivasankari Sivakumar; K. Kiruthika; A. R. Ramya; V. Deva Dharshini (Journal of Plant Diseases and Protection, 2026)

Entomovectoring: a green technology for crop protection - Venkatesan Deva Dharshini; Madapuji Rajagopalan Srinivasan; Vangili Ramasamy Saminathan; Marimuthu Murugan; Kathithachalam Angappan; Eswaran Kokiladevi; Kuppusamy Rameash; Rajkumar Promoth Kumar; Mohammad Ikram; Sankar Raman; Ramasamy Premika (Journal of Plant Diseases and Protection, 2026)

Development of a Gellan–Carbopol in Situ Gel System for Intranasal Delivery of Artemether-Loaded SLNs: Optimization and Kinetic Evaluation - Harish Bhute; Pramod S. Salve; Sameer Sheikh; Ujban Md Hussain; Samiksha Tammewar; Amol A. Tatode; Mohammad Qutub; Tanvi Premchandani (Journal of Pharmaceutical Innovation, 2026)

Ultra-Flexible Liposomal Gels Versus Pressure-Sensitive Adhesive Transdermal Patches: A Comparative Pharmacokinetic Study for Effective Management of Parkinson’s Disease - Afridi Chabru; Pramod Salve; Mohammad Qutub; Ujban Hussain; Amol Tatode; Samiksha Tammewar; Sameer Sheikh; Tanvi Premchandani (Journal of Pharmaceutical Innovation, 2026)

Structural, Electronic, and Molecular Dynamics Perspectives of Andrographolides as Potential CDK2 Inhibitors - Jisna Jose; Glowi Alasiri; Jibin K. Varughese; Ali M. Alaseem; Mohammad Fareed; Mohammad Suhail Akhter; Thomas V. Mathew (Journal of Pharmaceutical Innovation, 2026)

Comparative evaluation of tamoxifen and red clover extract on reproductive and hepatic function in female Trichogaster trichopterus: a translational endocrine toxicology study - Tahereh Naji; Mahdi Ahmadinia; Mohammad Mehrkar; Homayoun Hosseinzadeh Sahafi (Journal of Molecular Histology, 2026)

Metformin mitigates metabolic dysfunction-associated steatohepatitis in rats by altering steatosis-related micro-RNAs and Aquaporin-9 - Mohammad El-Nablaway; Mohamed Adel; Eslam Kamal Fahmy; Hossameldin Abouhish; Amal Fahmy Dawood; Mamdouh Eldesoqui (Journal of Molecular Histology, 2026)

Renoprotective effect of diosmin against chlorpyrifos-induced kidney injury is mediated by the regulation of TLR4/HMGB1/NF-κB, PPAR-γ/SIRT1, and Bax/Bcl2 signals - Duaa Althumairy; Mohammad Bani Ismail; Hamad Abu Zahra; Badrah S. Alghamdi; Hanan S. Althagafy; Zainab Mohammed Mahmoud Omar; Emad H. M. Hassanein; Fares E. M. Ali (Journal of Molecular Histology, 2026)

Integrated hydrodynamic and environmental assessment of Kuah coastal Area, Langkawi island: A framework for future coastal resilience - Ebrahim Al-Qadami; Mohd Adib Mohammad Razi; Syed Muzzamil Hussain Shah; Arman Mokhtar; Mahran Mahamud; Adel Al-Gheethi; Jaan H. Pu; Zahiraniza Mustaffa (Journal of Coastal Conservation, 2026)
Coastal areas are increasingly affected by a combination of natural processes, human activities, and climate change, leading to several environmental challenges which require comprehensive management strategies for sustainable development. This study provides a comprehensive assessment of the Kuah town coastal area on Langkawi Island, Malaysia, focusing on current hydrodynamic and environmental conditions. The assessment covers current flow, wave features, sediment transport, shoreline conditions, flora and fauna, and the water quality. The study further utilized Mike 21, a two-dimensional hydrodynamic model, coupled with spectral wave and mud transport packages for the numerical modeling. The current flow simulation was conducted over a 16-day spring-neap cycle under southwest monsoon conditions, while wave and sediment transport simulations were evaluated under northeast, southwest, and inter-monsoon seasons. Other assessments were conducted based on the collected data from the study area or from the state authority. The study results indicated the maximum and mean current speeds of 0.6 and 0.3 m/s, respectively, with significant wave height (Hs) below 0.2 m due to island sheltering effect. Furthermore, the sediment transport predominantly occurred northwestward during the northeast monsoon and southeastward during the southwest and inter-monsoons. The predictive models for coastal flooding in 2030, 2050, and 2100 highlights the vulnerability to sea level rise, projecting up to 0.29 m by 2100 in low-lying shoreline areas. In terms of water quality assessment, the results identified generally clean marine conditions. Based on the obtained results and observations, the key issues were identified, leading to proposed management strategies for the short, medium, and long term. Uniquely, this holistic assessment not only highlights specific local conditions and vulnerabilities but also proposes targeted management strategies for different timeframes, offering valuable insights for sustainable coastal development and risk mitigation. Therefore, the study, in summary, offers crucial insights for sustainable coastal development, risk mitigation, and informed decision-making.

Assessing the Urban Acoustic Environment and Public Health Impacts Using Multivariate and Structural Equation Models - Muzafar Zaman; Tabasum Qadir; Mohammad Muslim; Arshid Jehangir (International Journal of Environmental Research, 2026)

Development of a Hydrophobic Cellulose from Bell Pepper Stem Fibers for Sustainable Adsorption of Polycyclic Aromatic Hydrocarbons - Soheila Ghasemi; Mohammad Rahimi; Milad Asadnia (International Journal of Environmental Research, 2026)

An Analysis of Eco-Emotions Among Iranian Students in Environmental Education - Amirali Boroumand; Mohammad Javad Amiri; Shahrzad Faryadi (International Journal of Environmental Research, 2026)

Correction: The Effect of Climate Conditions on the Availability of Microplastic Particles in Air - Noor Nihad Baqer; Baraa Qasim Hadi Al-Awadi; Mohammad Abdul Wahab Shaker Al-Aadhami; Maitham Abdulah Sultan; Shrooq S. Shams Aldeen; Hadeel Razaq Wahaab (International Journal of Environmental Research, 2026)

Spatio-Temporal Dynamic Analysis of Urban PM2.5 Pollution: Presenting a Novel Framework for Air Pollution Assessment and Management in Mashhad - Keramatollah Ziari; Vahid Yousefpour Targhi; Mohammad Mohammadzadeh; Majid Golzar (International Journal of Environmental Research, 2026)

Advancements and Challenges in Carbon Capture, Utilization, and Storage (CCUS) with a Special Emphasis on SDG: A Comprehensive Review and Future Prospect in Bangladesh - Faysal Ahamed Akash; Shumshun nahar; Shaik Muntasir Shovon; Wahida Rahman; Abdur Rahman; Prosenjeet Chakraborty; Minhaj Uddin Monir; Mohammad Forrukh Hossain Khan; Farhana Yesmin; Tonmoy Saha (International Journal of Environmental Research, 2026)

Optimizing Groundwater Sustainability: Quantitative and Qualitative Modeling of the Shamil Aquifer Under Climate and Management Scenarios - Behzad Ghiasi; Mohammad Fallah Kalaki; Sara Heshmati; Leila Hosseini (International Journal of Environmental Research, 2026)

Updating dynamic increase factor for reinforced concrete structures with the moment-resisting frame system under progressive collapse - Mohammad Reza Khosravi; Mohammad Reza Mohammadizadeh; Hamed saffari; Peyman Torkzadeh (Innovative Infrastructure Solutions, 2026)

Machine learning models for reinforced concrete pipes condition prediction: the state-of-the-art using artificial neural networks and multiple linear regression in a Wisconsin case study - Mohsen Mohammadagha; Mohammad Najafi; Vinayak Kaushal; Ahmad Jibreen (Innovative Infrastructure Solutions, 2026)

Strong Synergistic Antibacterial Effects of Biosynthesized Silver Nanoparticles and Extracts of the Mushroom Lentinus tigrinus - Yasaman Yazdi; Mohammad Reza Rezaei; Hamid R. Pourianfar (Indian Journal of Microbiology, 2026)

Inhibitory effects of Lactobacillus reuteri strain I300 against Helicobacter pylori adhesion, invasion, and inflammatory response in gastric epithelial cells in vitro - Ghazaleh Talebi; Ali Nabavi-Rad; Zahra Sadeghloo; Michael Doulberis; Mohammad Reza Zali; Abbas Yadegar (Folia Microbiologica, 2026)

Wholesalers and the transformation of the “hidden middle” of the aquaculture value chain in Bangladesh - Hazrat Ali; Ben Belton; Mohammad Mahfujul Haque; Ricardo Hernandez; Khondker Murshed-e-Jahan; Liz Ignowski; Thomas Reardon (Food Security, 2026)
The rapid growth of aquaculture in Bangladesh over the past 30 years has been accompanied by a proliferation of wholesalers. Wholesalers are often assumed in academic and public discourse to be exploitative and inefficient: extracting rents rather than driving technological change. This view gives rise to development programs that seek to bypass marketing intermediaries or upgrade their practices. However, there has been little rigorous research on the behavior of wholesalers and its implications for outcomes of value chain performance, including food security. To address this gap, we implemented a statistically representative survey of 229 aquatic food wholesalers in 31 markets in one of Bangladesh’s most important aquaculture zones. We found the following. (1) The wholesale segment of the aquaculture value chain has grown rapidly. (2) Markets are increasingly competitive, with open auctions leading to disintermediation and transparent pricing. (3) Wholesale businesses operate on thin margins. (4) Very little food loss or waste occurs in the farm, wholesale, or retail value chain segments in the study zone. (5) Trading aquaculture products generates substantial employment for men but little for women. Contrary to popular belief, the midstream of the aquaculture value chain in southern Bangladesh is dynamic and efficient. The paper contributes to a growing literature highlighting the contributions that micro, small and medium enterprises (MSMEs) in the “hidden middle” segments of agri-food value chains make to food security.

High Cadmium Contamination in the Biological Samples of the Exposed Subjects in the Kosi Plain Region of Bihar - Deeksha Verma; Arun Kumar; Tejasvi Pandey; Radhika Agarwal; Kanhaiya Kumar; Mohammad Ali; Abhinav Srivastava; Shivam Kumar; Nikhil Kumar; Pushkar Kumar; Mukesh Kumar; Dhruv Kumar; et al. (Exposure and Health, 2026)

Simulation of intracellular delivery through permeabilized multivesicular vesicles - Shah Sajnin Anna; Shahariar Emon; Md. Asaduzzaman; Shovon Saha; Md. Atikur Rahman; Mohammad Abu Sayem Karal; Md Lokman Hossen; Samiron Kumar Saha; Hiromitsu Takaba; Md. Akhtaruzzaman; Md. Khorshed Alam (European Biophysics Journal, 2026)

Remediation of pesticide-contaminated soils by a microsecond pseudo-pulsed DBD plasma: optimization, pathway elucidation and toxicity assessment - Pouyan Mehdipour; Mohammad Rafiee; Hamidreza Ghomi; Anoushiravan Mohseni-bandpei; Fayyaz Mahdipour; Vahideh Mahdavi; Mahsa Jahangiri-rad (Environmental Geochemistry and Health, 2026)

Proteomic Alterations and Antimicrobial Effects of Postbiotics from Probiotic Lactic Acid Bacteria and Yeast Against Multidrug-Resistant Salmonella Typhimurium - Mahdi Asghari Ozma; Seyyed Reza Moaddab; Mohammad Asgharzadeh; Fadhil S. Kamounah; Amin Abbasi; Niloofar Fallahi Alileh; Hossein Samadi Kafil (Current Microbiology, 2026)

Psychrotolerant Erwinia psychrophila sp. nov. and Erwinia magellanica sp. nov. Isolated from Penguin Faeces - Ivo Sedláček; Pavla Holochová; Karel Sedlář; Eva Staňková; Mohammad Umair; Ondrej Šedo; Jitka Vives; Vendula Koublová; Dana Nováková; Pavel Švec (Current Microbiology, 2026)
Our taxonomic study was aimed at characterizing enteric bacteria isolated from faecal samples of Magellanic penguins ( Spheniscus magellanicus ) collected in Cabo Virgenes, Patagonia, Argentina, in 2016 and 2017. Initial sequencing of the 16S rRNA gene assigned two psychrotolerant strains, P6884 T and P7711 T , to the genus Erwinia . The closest phylogenetic relatives of the strains were Erwinia billingiae and Erwinia endophytica type strains, with 16S rRNA gene sequence similarity values between 98.4% and 98.9%. Whole-genome sequence analysis revealed that the strains analyzed could not be assigned to any validly named Erwinia species based on ANI and dDDH similarity values. Moreover, the ANI and dDDH similarities between the strains P6884 T and P7711 T genomes analyzed were 79.4% and 22.6%, respectively, indicating that they are distinct taxa. Further analysis using phenotyping and chemotaxonomy showed that the strains represent two newly discovered species of the genus Erwinia . The type strains P6884 T (= CCM 9357 T = LMG 33570 T ) representing Erwinia psychrophila sp. nov., and P7711 T (= CCM 9358 T = LMG 33569 T ) representing Erwinia magellanica sp. nov., were deposited in the Czech Collection of Microorganisms and BCCM/LMG Bacteria Collection. Erwinia species are typically associated with plants, fruits, and vegetables, and some species are important phytopathogens responsible for diseases in several economically important crops. The isolation of Erwinia species from penguin droppings shows that the microflora of penguin droppings, which can alter soil geochemistry in rookeries, may indicate yet unknown interactions within the Patagonian environment.

Tactile learning and memory deficits following cigarette and e-cigarette exposure: neural alterations in the barrel cortex and hippocampus - Sina Delshad; Mohammad Farajli Abbasi; Nima Geraminia; Elahe Rohani; Farzaneh Vafaee; Farahnaz Taheri; Monavareh Soti; Vahid Sheibani; Mansoureh Sabzalizadeh (Cognitive Processing, 2026)

Optimization of voltage and retention time for enhanced textile wastewater treatment using electrocoagulation with stainless-steel electrodes - Md. Habibur Rahman Bejoy Khan; Nafis Islam; Tahmeed Ahmed; Amimul Ahsan; Md. Al Farabe; Md. Ashraful Haque; Kazi Taimur Shabib; Md. Shafiquzzaman; M. Imteaz; Mohammad T. Alresheedi (Clean Technologies and Environmental Policy, 2026)

Bio-improvement of dune sand by bacterial medium cultures using Sporosarcina urea and Bacillus subtilis - Morteza Khaleghi; Iman Sheikhhosseini Lori; Mohammad Ali Rowshanzamir; Hakan Çağlar (Bulletin of Engineering Geology and the Environment, 2026)

The role of homologous recombination in human retrovirus-associated diseases - Mohammad Mehdi Akbarin; Zahra Farjami; Gabriel Eduardo Acevedo-Jiménez; Cecilia Rodríguez Murillo; Víctor David González-Fernández; Lucero de María Ávila-De la Vega; Hugo Ramírez Álvarez (Virus Genes, 2026)
Human retroviruses such as HIV-1 and HTLV-1 hijack host cellular mechanisms for their replication, survival, and pathogenesis, often causing profound genomic instability. This review explores the dual role of homologous recombination (HR), explicitly mediated by the recombinase RAD51, in the context of retroviral infections. RAD51 is central to high-fidelity repair of DNA double-strand breaks, yet its activity is manipulated differently by HIV-1 and HTLV-1. In HIV-1 infection, RAD51 expression is elevated by viral proteins like Tat and Vpr, promoting DNA repair and enhancing viral transcription through interactions with NF-κB, thereby supporting viral persistence. Conversely, HTLV-1 suppresses RAD51-mediated HR via viral proteins such as p30 and Tax, promoting error-prone DNA repair pathways that contribute to oncogenesis. These contrasting effects may underscore RAD51's functional plasticity as both a facilitator of viral replication and a potential antiviral restriction factor. Furthermore, the therapeutic modulation of RAD51 activity-especially in combination with PARP inhibitors offers promising avenues for treating retrovirus-associated malignancies such as adult T-cell leukemia/lymphoma. This review highlights RAD51 as a pivotal connection in the interplay between genome stability and retroviral pathobiology.

Exploring dynamical patterns and optical solutions of space–time fractional-order double-chain deoxyribonucleic acid model with Atangana’s conformable derivative - Alamgir Hossain; Nur Alam; Farhad Hossain; Ariful Islam; Mohammad Hassan; Onur Alp İlhan (Theory in Biosciences, 2026)

LENG8-AS1: A Prognostic Biomarker in Colorectal Cancer-Differential Expression and Clinical Implications - Pardis Jafarnia; Mohammad Mahdevar; Maryam Peymani (Indian Journal of Clinical Biochemistry, 2026)

Development of a Robust, Rapid and Reliable Tandem Mass Spectrometry Method for the Measurement of Sildenafil, Bosentan and their Major Metabolites - Mohammad Ahmad Bik; Duygu Eryavuz Onmaz; Karam Mazin Kamil Gharab; Fadime Karaman; Sedat Abusoglu; Abdullah Sivrikaya; Ali Unlu (Indian Journal of Clinical Biochemistry, 2026)

Sulfides as metallogenic tracers of fluid evolution at the Baishizhang molybdenum deposit, South China - Yue Hou; Huan Li; Thomas J. Algeo; Jianjun Liu; Weidong Ren; Mohammad Naseer; Nuerkanati Madayipu (Applied Geochemistry, 2026)

Nuclear reactor cladding enhancement via DES electrodeposition: Electrochemical kinetics and surface architecture of Cr-coated Zr-4 claddings - Ghadeer Hegab Mohamed; K. Karuppasamy; Mohammad Alrwashdeh; Saeed A. Alameri; Akram AlFantazi (Annals of Nuclear Energy, 2026)

Entropy generation in conjugate mixed convection of a rough cylindrical surface confined within a square chamber under internal heat generation - Mohammad Shakhawat Khan; Md. Maruf Tahmid; Saad Al Razee; Tawsif Iqbal; Sumon Saha (Annals of Nuclear Energy, 2026)

The feasibility of calculating the enrichment of 235U using the PIGE method with high-energy protons - Marzieh Hassanpour; Mehdi Hassanpour; MohammadReza Rezaie; Mohammad Rashed Iqbal Faruque (Annals of Nuclear Energy, 2026)

Neutronics analysis of (Th-233U)-ErZrH1.6 fuel: Optimizing Erbium content and U-233 enrichment for TRIGA Mark-II via OpenMC - Abdur Rahman Antor; Md Tanvir Ahmed; Mohammad Rifat Hadi (Annals of Nuclear Energy, 2026)

Optimizing oil spill detection and marine surface slick classification using hybrid compact polarimetric SAR imagery with a feature-enriched random forest approach - Mohammad Ebrahimi; Mahmod Reza Sahebi (Advances in Space Research, 2026)

Designing observer-based adaptive multi-model predictive attitude control for flexible satellites - Mohammad Fathi; Hossein Bolandi; Bahman Ghorbani Vaghei (Advances in Space Research, 2026)

Spectrum of Genetic Mutations Among Iranian Patients with Gangliosidosis - Sheyda Khalilian; Mohadeseh Fathi; Mona Alizadeh; Fatemeh Larki Darabi; Shadab Salehpour; Saeed Anvari; Mohammad Miryounesi; Soudeh Ghafouri-Fard (Biochemical Genetics, 2026)

Spectrum of ARSA mutations in Iranian patients with metachromatic leukodystrophy - Mohadeseh Fathi; Sheyda Khalilian; Mohammad Miryounesi; Soudeh Ghafouri-Fard (Biochemical Genetics, 2026)

Food-borne bacterial pathogens: emerging approaches in detection and prevention - Zaryab Shafi; Mohammad Shahid; Rahul Singh (Archives of Microbiology, 2026)

Optimization of Chitosan–Salicylic Acid Edible Coating to Enhance Guava Shelf Life and Quality Using Response Surface Methodology - Vijayalatha Kulandaivelu Ratnasamy; Jamuna Perumal; Jegadeeswari Vellaichamy; Sandeep Gunalan; Suresh Jesuraj; Jayaraman Narenkumar; Mohammad Ahmad Wadaan; Sandhanasamy Devanesan; Rajasekar Aruliah (Applied Fruit Science, 2026)

Daily PM2.5 concentration forecasting in Mashhad metropolis using long short-term memory (LSTM) neural networks and feature importance analysis - Mohamad Javad Zoqi; Aliasghar Dehqanpour Aliaqa; Seyed Javad Rasouli; Mohammad Reza Mansouri Daneshvar (Air Quality, Atmosphere & Health, 2026)

Investigating the benefits of green infrastructure using i-Tree canopy software: A case study of the 2500-year gardens of Qazvin - Mina Rahmani; Mohammad Mehdi Zarrabi; Javad Imani Shamloo; Sama Abdollahi Milani (Air Quality, Atmosphere & Health, 2026)

Spatial clustering in air quality data accuracy: assessment of low-cost sensors in Lisbon using a novel correlation-distance index - Sina Ataee; Myriam Lopes; Maria Isabel Nunes; Sónia Gouveia; Mohammad Vahidi Borji; Helder Relvas (Air Quality, Atmosphere & Health, 2026)
Effective air quality monitoring is essential for ensuring urban environmental comfort and protecting public health, especially within smart-city frameworks. In Lisbon, the performance of low-cost NO₂ and PM 10 sensors was assessed using a novel Correlation-Distance Index (CDI) coupled with Principal Component Analysis (PCA) weighting, alongside a demographic-weighted spatial association technique, benchmarked against reference monitoring stations. The analysis began by quantifying the inverse relationship between sensor–sensor correlation and Euclidean distance. This metric was then refined through the integration of PCA-derived weights and local population density, resulting in a composite CDI-PCA score assigned to each sensor. Spatial clustering of these scores identified zones of underperforming sensors, particularly in densely populated downtown and western neighborhoods. When these clusters were compared with census-block population data, there was a statistically significant association between CDI patterns and population density (χ²=406.5, p

Effects of Toxoplasma Gondii Type II Infection on Serum Serotonin Concentration and Indoleamine 2,3-Dioxygenase Gene Expression in Balb/c Mice - Elham Kordserkeche; Jasem Saki; Reza Arjmand; Mohammad Amin Behmanesh; Saeedeh Shojaee (Acta Parasitologica, 2026)

Prevalence and Subtypes of Blastocystis in Symptomatic Children in Egypt and Anti-Blastocystis Efficacy of Artemisia alba-Loaded Silver Nanoparticles In Vitro and in Swiss Albino Mice - Doaa Naguib; Nabeel H. Alhussainy; Hany M. El-Wahsh; Faten A. Al Braikan; Osama Salem Basalem; Walaa Abdulsamad Mal; Ashraf Fawzy Mosa Ahmed; Fadi Baakdah; Mohammad Mousa Alshumrani; Wael Sobhy Darwish; Wesam Kamal Bakhsh (Acta Parasitologica, 2026)

Sero-evidence of Latent Toxoplasma Gondii Infection in Cancer Patients Before and After Chemotherapy, Northern Iran - Ramin Shekarriz; Nakisa Azari Noor; Zahra Hosseininezhad; Eisa Nazar; Mohammad Eslami Jouybari; Ehsan Zaboli; Maryam Ghasemi; Ali Sharifpour; Mahdi Fakhar (Acta Parasitologica, 2026)

In Vitro and in Vivo Therapeutic Evaluation of Ethanolic Extract of Sumac and Compounds of Linalool and Eugenol Against Localized Cutaneous Leishmaniasis Induced by Leishmania major - Shaghayegh Alipour Aval; Aliehsan Heidari; Mehdi Mohebali; Mohammad Mahdi Ahmadian Attari; Amir Baghaei; Kourosh Kabir; Monireh Sezavar; Mehrab Asgary Valogerdi (Acta Parasitologica, 2026)

Impact of ocrelizumab on quality of life, fatigue, and depression among multiple sclerosis patients - Parisa Sharifi; Mohamad Ali Sahraian; Amir Moradi; Mahdokht Naghash; Mohammad Kiamoradi; Abdorreza Naser Moghadasi (Acta Neurologica Belgica, 2026)

Spino-cerebellar Ataxia 31 presenting as a demyelinating disease: a case report - Masoud Etemadifar; Mehri Salari; Mahsa Setudeh; Mohammad Roghani; Fatemeh Hojjatipour (Acta Neurologica Belgica, 2026)

Heart rate variability in people with multiple sclerosis: A systematic review and meta-analysis - Omid Mirmosayyeb; Mohammad Yazdan Panah; Mohammadreza Alinejadfard; Soroush Oraee; Saeed Vaheb; Vahid Shaygannejad (Acta Neurologica Belgica, 2026)

Saprolegnia parasitica S1 and S2 Strains Differ in Zoospore Transition Timing and Pathogenicity Against Juvenile Atlantic Salmon ( Salmo salar ) - James Duston; Mohammad Nasif Sarowar; Tyler Schmidt‐Schaun; Tessema Astatkie (Journal of Fish Diseases, 2026)
S1 and S2 strains of S. parasitica are both common among diseased farmed salmonids in Nova Scotia, whereas globally S1 is rare and S2 is common. Following the initiation of asexual maturation and overnight incubation at 20°C then harvest, and incubation at 10°C in vitro, S2 secondary zoospores mostly transformed into cysts within 3 h, and by 6 h post‐harvest > 80% had germinated. S1 zoospores, by contrast, exhibited persistent motility; at > 30 h post‐harvest > 80% were in the motile stage, and p = 0.005), with gross disease signs evident among 50% of test fish in 40 h for S1 versus 72 h for S2. Susceptibility to disease was independent of smolt status ( p = 0.512). Secondary motile zoospores, cysts, or germling stages of both strains all caused disease, but S2 germlings were the least pathogenic.

Effect of Dew Irrigation on Biomass Production in Wheat and Chickpea - Sargol Hosseini; Hassan Heidari; Mohammad Eghbal Ghobadi; Iraj Nosratti (Irrigation and Drainage, 2026)
One of the new water sources is dew. To address this issue, two separate pot experiments were designed to evaluate the effects of dew irrigation on the seed germination and vegetative growth of wheat and chickpea. The irrigation treatments included a control group (non‐irrigation) and dew irrigation in the seed germination experiment. In the vegetative growth experiment, the irrigation treatments included dew irrigation and conventional irrigation. The results revealed that dew irrigation resulted in impressive seed germination rates, reaching 91% for wheat and 61% for chickpea, whereas none of the seeds in the non‐irrigated control group germinated. In the case of chickpea, compared with dew irrigation, conventional irrigation resulted in greater values for stem dry weight (0.14 vs. 0.12 mg), leaf dry weight (0.083 vs. 0.013 mg), total dry weight (0.26 vs. 0.20 mg) and leaf to stem ratio (0.87 vs. 0.72 mg). For wheat, there was no significant difference between conventional irrigation and dew irrigation concerning the early growth parameters measured. In conclusion, dew irrigation is a viable strategy for facilitating the germination and vegetative growth of both wheat and chickpea, offering a promising approach to alleviate the impact of drought.

Assessing Prokaryotic Benthic Communities in the Red Sea - Christopher A. Hempel; Larissa Frühe; Sofia Frappi; Elisa Laiolo; Kah Kheng Lim; Diego E. Rivera Rosas; Amal A. Bajaffer; Wajitha J. R. M. Sait; Alexandra Steckbauer; Taiba Alamoudi; Jacqueline V. Alva García; Shannon G. Klein; et al. (Environmental Microbiology, 2026)
Marine sediments host diverse benthic prokaryotic communities that are integral to global biogeochemical cycles. However, the spatial distribution and environmental drivers of these communities, particularly in unique environments like the Red Sea, remain largely underexplored. In this study, we examine benthic prokaryotic communities sampled during the Red Sea Decade Expedition (RSDE) using 16S rRNA gene sequencing across five major regions along the Red Sea's latitudinal gradient and three depth strata. Our findings reveal distinct biogeographical patterns shaped by depth, latitude, and oxygen availability, with clear shifts in microbial community composition across the epibenthic, mesobenthic and bathybenthic zones. Bathybenthic communities exhibited consistently low levels of OTU richness throughout the Red Sea, likely due to uniform niche environmental conditions at depth, while shallower communities showed higher OTU richness towards the Southern Red Sea. The southern region harboured higher relative abundances of Chloroflexi and reduced relative abundances of Proteobacteria and Acidobacteriota relative to the northern regions. Extreme environments, such as the Atlantis II brine pool, supported specialised microbial communities likely adapted to extreme conditions like hypersalinity. This study established a critical baseline for understanding the responses of marine microbial communities to climate change and their roles in biogeochemical processes.

A review on the earth observation techniques for coastal vulnerability index in Malaysia - Shin Yi Chen; Nurul Hazrina Idris; Mohammad Hanif Hamden; Amalina Izzati Abdul Hamid; Muhammad Faiz Pa’suya; Norhadija Darwin (International Journal of Remote Sensing, 2026)

The interplay between circadian rhythm components and apoptosis in health and disease - Mohammad Rafi Khezri; Somayeh Mohammadi Panah; Morteza Ghasemnejad-Berenji; Hojat Ghasemnejad-Berenji; Saeed Mehrzadi; Amin Abdollahzade Fard; Aysa Rezabakhsh; Maryam Rahnama (Human Cell, 2026)

Deciphering hydrological drought controls on atrak river discharge predictability: a multiscale dynamic assessment - Mohammad Behroozi; Mohammad Hadi Fattahi; Abolghasem Sayadi (Environmental Science and Pollution Research, 2026)

Uncertainty Quantification of Satellite-Based Essential Climate Variables Derived from Deep Learning - Junyang Gou; Arnt-Børre Salberg; Mostafa Kiani Shahvandi; Mohammad J. Tourian; Ulrich Meyer; Eva Boergens; Anders U. Waldeland; Isabella Velicogna; Fredrik Dahl; Adrian Jäggi; Konrad Schindler; Benedikt Soja (Surveys in Geophysics, 2026)
Accurate uncertainty information associated with essential climate variables (ECVs) is crucial for reliable climate modeling and understanding the spatiotemporal evolution of the Earth system. Recent developments in deep learning have remarkably advanced the estimation of ECVs with improved accuracy. However, the quantification of uncertainties associated with outputs of such deep learning models has yet to be widely adopted. This survey explores the types of uncertainties associated with ECVs derived from deep learning methods, including aleatoric (data) and epistemic (model) uncertainty, and the techniques to quantify them. The focus is on highlighting the importance of considering uncertainty associated with inputs in the deep learning models to account for the dynamic and multifaceted nature of satellite observations. The survey starts by clarifying the definitions of aleatoric and epistemic uncertainties and their roles in a typical satellite observation processing workflow, followed by bridging the gap between conventional statistical and deep learning views on uncertainties. Then, we comprehensively review the existing uncertainty quantification methods for deep learning algorithms and discuss their strengths and limitations. A comprehensive literature review about quantifying uncertainties in the deep learning estimates of ECVs follows the theoretical survey, covering a wide range of ECVs. The specific need for modification to fit the requirements from both the Earth observation side and the deep learning side in such interdisciplinary tasks is highlighted. We further demonstrate our findings with two selected ECV examples, snow cover and terrestrial water storage, to provide clear insights into different methods by promoting quantitative comparison. In the end, we summarize our findings and provide perspectives for future research.

Redox signaling in the heart and brain: the roles of nitric oxide and reactive oxygen species in disease and therapy - Ramtin Naderian; Mohammad Ali Nazari; Tohid Emami Meybodi; Elham Paraandavaji; Ahmadreza Lagzian; Mahboobeh Nikandish; Majid Eslami (Metabolic Brain Disease, 2026)

Weather driven variation in the population dynamics of Helicoverpa armigera and avian predators in chickpea - Uma Shankar; Yousra Mukhtar; Mohammad Monobrullah (International Journal of Tropical Insect Science, 2026)

The effect of physical activity on epileptic seizures and consequentlearning and memory impairment in electrical amygdala kindling model - Abbas Kebriaeezadeh; Reza Zaferi; Mohammad Sharifzadeh; Javad Mirnajafi-zadeh; Ghorban Taghizadeh; Hassan Gheibi; Mahmoud Rezaei (DARU Journal of Pharmaceutical Sciences, 2026)

Biodiversity and distribution of entomophilic nematodes in the Terai region of eastern Uttar Pradesh, India - Mohammad Mahboob; Sharad Mohan; Qudsia Tahseen (Biologia, 2026)

Enhancing long-term water quality forecasting with a hybrid deep-learning approach integrating MODWT, CNN, and GRU - Soheil Khosravi; Mohammad Reza Nikoo; Mohammad G. Zamani; Rahim Barzegar; Parsa Najafipour; Amir H. Gandomi (Hydrological Sciences Journal, 2026)

Obsessive-compulsive disorder in people with multiple sclerosis: a systematic review and meta-analysis - Omid Mirmosayyeb; Homa Khodadadi; Parsa Saberian; Saeed Vaheb; Mohammad Yazdan Panah; Vahid Shaygannejad (Acta Neurologica Belgica, 2026)

A robust green location-routing model for cross-docking logistics under diverse carbon emission policies - Elham Sadeghi; Mohammad Yavari (Environment, Development and Sustainability, 2026)

Subcutaneous Administration of Antibody-drug Conjugates - Aiman A. Yaseen; Mohammad Asikur Rahman; L. Nathan Tumey (Current Pharmacology Reports, 2026)
Subcutaneous (SQ) delivery is emerging as a strategic alternative to intravenous (IV) dosing for antibody–drug conjugates (ADCs). The approach promises patient convenience, reduced health care costs, and potentially safer peak exposures. However, it introduces route-specific challenges including depot absorption, local tolerability, and high-concentration formulation. Early clinical and translational studies show that SQ dosing of select ADCs is feasible with predictable pharmacokinetics—typically lower Cmax and delayed Tmax, while maintaining meaningful exposure. Nevertheless, depot-site processes (e.g., protease-mediated deconjugation) can drive injection-site reactions and local toxicity unless linkers and payloads are engineered for stability in subcutaneous and lymphatic tissues. Several technology enablers are accelerating progress: (i) high-concentration, low-viscosity formulations and excipient systems that preserve stability over shelf life; (ii) recombinant human hyaluronidase co-formulations that permit larger SQ volumes and more consistent absorption; (iii) route-aware linker designs (e.g., enzymatically cleavable yet plasma-stable constructs with tuned hydrophobicity) and selection of intermediate-potency payloads can mitigate depot release while preserving systemic activity. Model-informed development, integrating PBPK with multi-analyte popPK and exposure–response, are maturing into a practical toolkit that could be used to simulate SQ absorption. Such model can also be used to forecast efficacy/safety trade-offs, and rationalize dose, interval, and formulation choices before first-in-human studies. Collectively, these advances, along with growing clinical experience in SQ administration of ADCs, are opening doors to a new generation of ADCs that can be administered with increased patient convenience and decreased health care burden. Summary SQ administration is not a simple route swap for ADCs. It involves careful consideration of chemistry, formulation, and quantitative modeling to ensure desirable clinical outcomes. Key enablers include route-conscious linker–payload choices and high-concentration developability. Hyaluronidase-enabled delivery, where appropriate, and model-guided dose selection are also important. With these in place, SQ dosing can expand access, improve patient experience, and, selectively, enhance the therapeutic window. With these elements in place, SQ ADCs are poised to transition from isolated exemplars to a reproducible development pathway.

Exploring the Interaction of Diester-Bonded Cationic Gemini Surfactant Functionalized Silver Nanoparticles with PSA: Analysis Involving Spectroscopic and Tensiometric Approaches - Mohd. Akram; Saif Uz Zafar; Mohammad Salim; Kabir-ud-Din (Journal of Fluorescence, 2026)

Aquatic PFAS remediation using supercritical water oxidation: systematic review on efficiency, mechanisms, and future directions - Mohammad Reza Teimoury; Mahdi Hadi; Hosna Janjani; Mina Aghaei (Journal of Environmental Health Science and Engineering, 2026)

Clinical spectrum of ICU-acquired invasive pulmonary aspergillosis according to SARS-CoV2 infection: a multicenter prospective cohort study - Florian Reizine; Mattéo Mauget; Nicolas Massart; Yannick Fedun; Anaïs Machut; Charles-Hervé Vacheron; Anne Savey; Arnaud Friggeri; Alain Lepape; Melissa Abbes; Abdelkrim Abdelmalek; Francoise Adema; et al. (European Journal of Clinical Microbiology & Infectious Diseases, 2026)

Unraveling bed sediment dynamics and accumulation rates in the Northern Arabian Gulf: a synthesis of modeling, radiometric techniques, and field data - Yousef Alosairi; Abdulaziz Aba; Alanoud Al-Ragum; Mohammad S. Al-Khaldi; Dana Al-Houti (Frontiers in Marine Science, 2026)
The Northern Arabian/Persian Gulf (NG) experiences complex sedimentary dynamics influenced by aeolian and fluvial inputs under highly variable hydrodynamic conditions. This study integrates numerical modeling (Delft3D-FM), radiometric dating, and field observations to quantify sediment accumulation rates and map cohesive bed sediments. Seasonal simulations for summer and winter reveal distinct sediment accumulation trends, with deposition exceeding 0.9 g/cm 2 /yr in the NG. Model validation against radiometric data shows strong agreement, with minor discrepancies in mid-range deposition zones (e.g., 0.24 vs. 0.48 g/cm 2 /yr). Wind-driven shear stress emerges as a key driver of bed sediments, particularly in winter, when higher variability and stronger bed shear stresses are observed compared to summer. These findings highlight the importance of combining field-based and numerical approaches to improve sediment transport predictions in arid coastal environments. This study provides critical insights for sediment management and coastal resilience, particularly in the context of climate change, which is expected to reshape sediment budgets and pose significant challenges to the stability of coastal ecosystems in the NG.

Physiological Responses of Kalibaus (Labeo calbasu) to Temperature Changes: Metabolic, Haemato-Biochemical, Hormonal and Immune Effects - Masuda Sultana Mimi; Simon Kumar Das; Mohammad Lutfar Rahman; Mohammad Abdus Salam; Md. Nushur Islam; Tamanna Rahman; Sumi Rani Das; Mohammad Nazmol Hasan; Sabuj Kanti Mazumder (Fishes, 2026)
A global interest in the cultivation of Kalibaus (Labeo calbasu) has emerged due to decreasing natural stocks and a consistent rise in market value and demand. Given these concerns, understanding the species’ physiological responses to environmental changes is crucial. The present research aimed to assess the effect of varying environmental temperatures on metabolism, haemato-biochemical indices, hormonal concentrations and immune responses in L. calbasu. This study was conducted in triplicate using 100 L glass aquariums at four different temperatures: 22, 26, 30, and 34 °C. The highest weight and length gain were observed at 30 °C, while the lowest occurred at 22 °C. Notably, the best feed conversion ratio (FCR) of 1.51 ± 0.03 was also recorded at 30 °C. Although haematological and biochemical parameters remained within normal ranges, they varied with temperature changes. Indicators of cold and heat stress were evident through lower hematocrit levels and higher white blood cell (WBC) counts. Biochemical indicators such as serum albumin (1.84 ± 0.05 g dL−1), serum globulin (1.64 ± 0.06 gdL−1), HCO3 (30.93 ± 0.62), Na+ (115.60 ± 3.72 mmolL−1), alkaline phosphatase (93.33 ± 9.39 AP, IUL−1), and AST/SGOT (21.00 ± 4.55 UL−1) were significantly higher at 30 °C. Regarding hormonal responses, peak levels of growth hormone (GH), triiodothyronine (T3) (1.44 ± 0.07 ngmL−1), and thyroxine (T4) were recorded at 30 °C. Meanwhile, serum cortisol (1.62 ± 0.06 µgdL−1) and adrenocorticotropic hormone (ACTH) (18.01 ± 3.26 pgmL−1) were highest at 34 °C. Immune responses were strongest between 26 and 30 °C. In conclusion, the results suggest that L. calbasu should ideally be cultured between 26 and 30 °C for optimum growth and health, making it ideal for commercial farming.

Epstein–barr virus and multiple sclerosis: from pathogenesis and diagnosis to EBV-specific T cell therapy and gene-targeted therapeutics - Mukesh Pushkarna; Ahmed Zwamel; Seema Verma; H. Malathi; Mukhlisa Mustafayeva; Harpreet Kaur; Ali M. Ali Al-Nuaimi; Beneen Husseen; Mohammad Dahghani (Journal of Applied Genetics, 2026)

Correction to: Efficacy of permeable reactive barrier with different structures for the simultaneous removal of nitrate and MTBE from polluted water - Mohammad Kazemi Soochelmaei; Nader Mokhtarani (Environmental Science and Pollution Research, 2026)

Vanillic Acid-Loaded Niosomes for Diabetic Wound Healing: Formulation, Optimization by Box–Behnken Design, and In Vivo Evaluation - Shervin Amirkhanloo; Reza Enayatifard; Jafar Akbari; Mohammad Seyedabadi; Majid Saeedi; Mohammad Ranaee (AAPS PharmSciTech, 2026)

Assessment of health risks linked to consumption of poultry chicken eggs in Dhaka, Bangladesh - Md. Abu Fahad; Mohammad Sakhawat Hossain; Md. Rayhan Ferdous Saikot; Abdullah Al Zahid; Md. Mizanur Rahman; Mohammad Enayet Hossain (Environmental Monitoring and Assessment, 2026)

Enhanced Estimation of Cerchar Abrasivity Index Using Mineralogical Composition Analysis - Mohammad Sharghi; Hoyoung Jeong (Rock Mechanics and Rock Engineering, 2026)

An optimized dual-EWMA chart for cost-efficient monitoring of carbon emissions in the transportation sector - Mohammad Shamsuzzaman; Sadeque Hamdan; Salah Haridy; Ahm Shamsuzzoha; Ahmed Maged; Mohammad Chahooei (Environment, Development and Sustainability, 2026)

Elemental and Isotopic Profiles in Blood and Urine of Jordanian Children with Autism Spectrum Disorder: a Preliminary Comparative Study with Neurotypical Children - Ayat Hussein B. Rashaid; Tasneem Hussein Shanayneh; Rand Mohammad Jaradat; Shreen Deeb Nusair; Mahmoud Ahmad Bashtawi (Biological Trace Element Research, 2026)

Navigating Vulnerabilities and Responses for Transitioning to Viability in the Small-Scale Fisheries of Bangladesh - Mohammad Mosarof Hossain; Prateep Kumar Nayak; Md. Tariqul Alam; Md. Mostafa Shamsuzzaman; Mohammed Mahbub Iqbal; Mohammad Mahmudul Islam (Reviews in Fisheries Science & Aquaculture, 2026)

Gridded precipitation and temperature products performance over Afghanistan: from simple bias correction to advanced data fusion - Mohammad Najim Nasimi; Peter Bauer-Gottwein; Scott E. Boyce; Jingshui Huang; Markus Disse (International Journal of Remote Sensing, 2026)

The distribution and taxonomy of the agamid genus Laudakia in Jordan: morphological and genetic differentiation - Mohammad A. Abu Baker; Sajeda J. Jaber; Zuhair S. Amr; Jiří Šmíd (Systematics and Biodiversity, 2026)

Radiological assessment and potential health risks of naturally occurring radioactive materials in Kuakata Sea Beach sand: implications for rare-earth resources and nuclear fuel cycle feasibility - M. M. Mahfuz Siraz; Musfik R. Fahim; Mohammad Shafiqul Alam; Araf Mahmud; Md. Bazlar Rashid; Mayeen Uddin Khandaker; Hamid Osman; Selina Yeasmin (Isotopes in Environmental and Health Studies, 2026)

Alpha emitter concentrations of natural radionuclides and radiological hazard assessment of soil samples in the Halabja governorate, Iraq - Hiwa Mohammad Qadr; Najeba Farhad Salih; Ari Maghdid Hamad (Isotopes in Environmental and Health Studies, 2026)

Role of HMGB1 in Neuroinflammation - Amir Ajoolabady; Rizwan Ahmad; Glowi Alasiri; Mohammed Alaidarous; Randa Mohammad Ibrahim; Bonglee Kim; Altaf A. Abdulkhaliq; Anwar Borai; Jaakko Tuomilehto; Bahauddeen M. Alrfaei; Jun Ren; Johra Khan; et al. (Molecular Neurobiology, 2026)

In the face of decline: The dominant role of sediment composition over hypersalinity and hypoxia in shaping Caspian Sea nematode assemblages - Mehrshad Taheri; Ahmad Radmanesh; Kazem Darvish Bastami; Hosein Bagheri; Reza Rahnama; Jafar Azizpour; Ali Hamzepour; Maryam Yazdani Foshtomi; Mohammad Ali Hamzeh; Ehsan Rastgoftar (Marine Pollution Bulletin, 2026)

A first comprehensive quantification of microplastic contamination in the gastrointestinal tract of endangered caspian seals (Pusa caspica) from the Caspian Sea - Seyed Reza Khaleghi; Aliakbar Hedayati; Seyed Abbas Hosseini; Mohammad Gholizadeh; Roghieh Safari (Marine Pollution Bulletin, 2026)

Water quality monitoring for coastal hypoxia: Integration of satellite imagery and machine learning models - Sajad Basirian; Mohammad Najafzadeh; Ibrahim Demir (Marine Pollution Bulletin, 2026)

Economically viable marine algae-based fish feed production in Qatar - Probir Das; Mahmoud Thaher; Shoyeb Khan; Senthil Annamalai Nagappan; Mohamed Faisal; Mohammad AbdulQuadir; Abdurahman Hafez Mohammed Kashem; Alaa H. Hawari; Delbert M. Gatlin (Aquaculture, 2026)

The IolR regulon contributes to Aeromonas hydrophila virulence in channel catfish (Ictalurus punctatus) - Tingbi Xu; Dong Yuhao; Mohammad J. Hossain; Damien S. Waits; Shabarinath Srikumar; Jeffery S. Terhune; Charles M. Thurlow; Joseph C. Newton; Yongjie Liu; Mark R. Liles; Dawei Sun (Aquaculture, 2026)

Risk-based assessment of climate change–induced hazards in arid, data-scarce coastal zones - Mohammad Reza Nikoo; Hossein Yousefi; Malik Al-Wardy; Ghazi Al-Rawas; Rouzbeh Nazari; Ahlam Al Hanai; Khalifa Al-Zeidi (Ocean & Coastal Management, 2026)

The adaptable community resilience assessment framework for small islands and coastal communities (SICC): A scoping review - Mohammad Ridwan Lessy; Jonatan Lassa; Kerstin K. Zander (Ocean & Coastal Management, 2026)

Removal of a quaternary ammonium compound by electrocoagulation: Mechanistic analysis and multi-response optimization using response surface methodology and machine learning - Ali Tavakoli; Mohammad Reza Alavi Moghaddam; Javad Abdollahi; Reza Karbasi; Amir Reza Azadmehr; Munawwar Ali Khan (Water Research, 2026)

Interpretable forecasting of dissolved oxygen leveraging foundation model for proactive aeration in rural wastewater treatment systems - Jeimy L Martinez De La Hoz; Mahathir Mohammad Bappy; MD Shafikul Islam; Mason Marcantel; Michael P. Hayes (Water Research, 2026)

Mangrove-derived dissolved organic carbon and allochthonous refractory subsidies via submarine groundwater discharge at regional and global scales - Bangjian Zhang; Xiaogang Chen; Jinzhou Du; Xiaoxiong Wang; Mohammad Rozaimi; Yusi Wang; Dan Wu; Fenfen Zhang (Water Research, 2026)

Functional and structural resilience assessment in urban drainage networks: a physics-guided graph-based surrogate model - Mohammad Rajabi; Mohsen Hajibabaei; Aun Dastgir; Robert Sitzenfrei (Water Research, 2026)

Identifying drinking water safety hazards throughout an Arctic community’s water supply system - Caroline Duncan; Mohammad Ibraheem; Audrey Tam; Casey Egotak; Kaniak Maniyogina; Felicity Klengenberg; Stephanie Gora (Water Research, 2026)

Recycling of spent lithium iron phosphate batteries–a review of processes, economics, and carbon footprint - Gisele Azimi; Amir Hossein Mohammad Zadeh (Waste Management, 2026)

Enhancing bikeshare systems with e-bikes in semi-hilly Cities: Insights from Washington D.C - Vahid Bakhshi; Kuldeep Dixit; Mohammad Abrari Vajari; Xiao Qin; Alireza Ermagun; Steve Hankey; Ralph Buehler (Transportation Research Part D: Transport and Environment, 2026)

Valorization of waste tire textile fibers for durability enhancement of expansive clay stabilized with calcium carbide residue and water treatment sludge - Mohammad Dokaneh; Reza Rezvani; Mahyar Arabani; Iman Hosseinpour; Mahdi Salimi; Meghdad Payan; Mahya Roustaei (Transportation Geotechnics, 2026)

Experimental and numerical insights into geosynthetic behavior in pile-supported embankments - Atefeh Tardast; S. Hamid Lajevardi; Laurent Briançon; S. Mohammad Mirhosseini (Transportation Geotechnics, 2026)

Enhanced pancreatic toxicity induced by cadmium and a high-fat diet: attenuation by naringin through the modulation of oxidative stress, apoptosis, and inflammatory signaling - Reza Eslamizadeh; Ali Akbar Oroojan; Mohammad Amin Behmanesh; Ali Reza Azizzadeh; Amir Hossein Nasiri; Hoda Vahedi; Soheila Alboghobeish (Toxicology and Applied Pharmacology, 2026)

Liposomal nanoparticles containing adenosine triphosphate targeted by heart-specific peptide ligands as antidotes for aluminum phosphide poisoning in isolated rat cardiomyocyte cell line - Roghayeh Jahani; Hamidreza Mohammadi; Mohammad Seyedabadi; Vajihe Alinezhad; Javad Akhtari (Toxicology in Vitro, 2026)

Integrated remote sensing and machine learning approach for LST trend analysis and SUHI detection in the semi-arid climate of Kabul province using Google Earth Engine - Mohammad Jawed Nabizada; Ümran Köylü (Sustainable Cities and Society, 2026)

Assessing urban outdoor thermal discomfort across scales and climates: Implications for sustainable urban management in Iran - Aminreza Karamoozian; Abouzar Gholamalizadeh; Saman Nadizadeh Shorabeh; Amirhossein Karamoozian; Mohammad Karimi Firozjaei (Sustainable Cities and Society, 2026)

A hybrid temporal-spatial framework for understanding public EV charging usage patterns: Evidence from Bay Area - Zeyu Wang; Mohammad Mehdi Oshanreh; Don Mackenzie (Sustainable Cities and Society, 2026)

2D site response modeling of the Treasure Island vertical array considering spatially varying input motions with non-vertical incidence - Mohammad Eskandarighadi; Christopher R. McGann; Christopher A. de la Torre (Soil Dynamics and Earthquake Engineering, 2026)

Allelopathic effects of rice husk on goosegrass (Eleusine indica) and lettuce (Lactuca sativa) - Nurul Solehah Binti Samsudin; Siti Aisyah Mohammad Taupik; Chia Poh-Wai; Dilipkumar Masilamany; Muhammad Ammar Yunus; Chuah Tse-Seng (South African Journal of Botany, 2026)

Study & prediction of rocking stiffness of piled foundations - Amin Amiri; Seyed Majdeddin Mir Mohammad Hosseini; Abbas Soroush (Soil Dynamics and Earthquake Engineering, 2026)

Seismic performance of perforated pile raft in liquefiable sand using shaking table test - Amirabbas RiyahiKhoo; Abdolhosein Haddad; Saber Nokande; Mohammad Ali Khodabandeh (Soil Dynamics and Earthquake Engineering, 2026)

Cyclic load-displacement behavior of piles via Frustum Confining Vessel - Mohammad Esmailzade; Abolfazl Eslami (Soil Dynamics and Earthquake Engineering, 2026)

The influence of particle shape and loading waveform on the dynamic properties of base materials in high-speed railway slab tracks: A discrete element analysis - Nazanin Mahbubi Motlagh; Hamoun Alimoradi; Mohammad Shamsi (Soil Dynamics and Earthquake Engineering, 2026)

Ranking Earthquake Prediction Algorithms: A Comprehensive Review of Machine Learning and Deep Learning Methods - Alireza Moghadamnejad; Mohammad Amin Moghaddasi; Mohammadjavad Hamidia; Reza Karami Mohammadi; Mehdi Zare (Soil Dynamics and Earthquake Engineering, 2026)

Mapping hidden risks in mine tailings: A multi-variable geostatistical framework for environmental management - Collins G. Adoko; Nasser Madani; Mohammad Maleki; Annika Parviainen (Science of The Total Environment, 2026)

Retraction notice to “Almond shell-derived biochar decreased toxic metals bioavailability and uptake by tomato and enhanced the antioxidant system and microbial community” [Sci. Total Environ. 929 (2024) 172632] - Muhammad Imran Ghani; Mohammad Abass Ahanger; Tanveer Ali Sial; Sajjad Haider; Junaid Ali Siddique; Ruidong Fan; Yanjiang Liu; Esmat F. Ali; Manish Kumar; Xing Yang; Jörg Rinklebe; Xiaoyulong Chen; et al. (Science of The Total Environment, 2026)

Assessment of herbivore densities using Sporormiella as a palynological proxy: Indian context and the way forward - Mohammad Firoze Quamar; Nagendra Prasad; Biswajeet Thakur; Maneesha Muraleedharan ET (Review of Palaeobotany and Palynology, 2026)

Monitoring seasonal pollen deposition in an arid environment using Tauber traps: ecological and aerobiological insights from Kashan, central Iran - Elham Mahlooji; Morteza Djamali; Hossein Akhani; Emmanuel Gandouin; Hossein Batooli; Marzieh Heidarzadeh Arani; Mohammad-Reza Mozdianfard (Review of Palaeobotany and Palynology, 2026)

Late Holocene vegetation dynamics and Indian Summer Monsoon evolution from the Core Monsoon Zone, India - Nagendra Prasad; Mohammad Firoze Quamar; Paulramasamy Morthekai; Maneesha Muraleedharan ET; Pooja Tiwari; Biswajeet Thakur; Anupam Sharma (Review of Palaeobotany and Palynology, 2026)

Environmental governance and resource policy in Iran's oil and gas sector: A game-theoretic approach - Mohammad Hossein Jahangiri; Yadollah Bahramian (Resources Policy, 2026)

Navigating trade policies and sustainability: a system dynamics analysis of Indonesia’s nickel supply chain - Meditya Wasesa; Taufiq Hidayat; Dinda Thalia Andariesta; Alma Kenanga Attazahri; Bima Satritama; Haidar Aji Wasesa; Zulfiadi Zulhan; Mohammad Zaki Mubarok; Utomo Sarjono Putro (Resources Policy, 2026)

Water quality and pollution dynamics in the Padma River, Bangladesh: Characterization of microbiological and chemical contaminants - Mohammad Kamruzzaman; Md. Nayeem; Mohammad Ismail; Md Firoz Khan; Sharmin Zaman Emon; Anowar Hosen; Asma Rahman; Muhammad Nurul Huda (Regional Studies in Marine Science, 2026)

Cost-effective statewide wetland inventory update using weakly supervised deep learning: A case study in Minnesota, USA - Victor Igwe; Bahram Salehi; Mohammad Marjani; Nima Farhadi; Masoud Mahdianpari (Remote Sensing Applications: Society and Environment, 2026)

Crosstalk between myostatin and callipyge in CRISPR/Cas9-edited goat fibroblast cells - Helia Fathpour; Mansooreh Fouladi; Farnoosh Jafarpour; Reza Moradi-Hajidavaloo; Tayebeh Izadi; Hanieh Shiralian-Esfahani; Wilfried Kues; Mohammad-Hossein Nasr-Esfahani; Mehdi Hajian; Shahin Eghbalsaied (Research in Veterinary Science, 2026)

Assessing the performance of random forest and deep forest algorithms for Mangrove canopy cover mapping using PlanetScope SuperDove imagery - Abhista Fawwaz Sahitya; Muhammad Kamal; Nur Mohammad Farda (Remote Sensing Applications: Society and Environment, 2026)

Assessing the diurnal relationship between urban morphology and land surface temperature in a highly dense city: A case study in Hong Kong - Sze Ping Hui; Yu Liu; Pir Mohammad; Qihao Weng (Remote Sensing Applications: Society and Environment, 2026)

Mapping of sun-induced fluorescence (SIF) in kiwifruit canopy using a 3D radiative transfer modeling and airborne hyperspectral imaging - Reddy R. Pullanagari; Mohammad Hossain Dehghan-Shoar; Junqi Zhu; Alvaro A. Orsi; Ian J. Yule (Remote Sensing Applications: Society and Environment, 2026)

Neural network–enhanced calibration of ERA5 wind speeds in the northwestern Indian Ocean using 32 years of satellite observations - Mohammad Hossein Kazeminezhad (Remote Sensing Applications: Society and Environment, 2026)

Mapping wind erosion potential using remote sensing and artificial neural networks: Insights for soil conservation in arid regions - Sahar Khoshnoud; S. Mohammad Mirmazloumi; Arsalan Ghorbanian; Hossein Mohammad Asgari; Meisam Amani (Remote Sensing Applications: Society and Environment, 2026)

Comprehensive study of radon levels, health risks, and physiochemical properties in tap water consumed in Iraqi Kurdistan using solid-state nuclear track detectors - Hiwa Mohammad Qadr; Najeba Farhad Salih; Alla Ahmed Muhamad Amin (Regulatory Toxicology and Pharmacology, 2026)

Investigating dust explosibility using exploratory data analysis - Mohammad Alauddin; Anton Schrader; Michael J. Pegg; Paul Amyotte (Process Safety and Environmental Protection, 2026)

Co-pyrolysis of nitrile gloves and tissue paper towards liquid fuel generation: Experiment, simulation, and techno-economic insights - Hayat Ali Haddad; Ali Abdullah Al-Qadri; Usama Ahmed; Ahmad Nawaz; Mohammad M. Hossain; Shaikh Abdur Razzak (Process Safety and Environmental Protection, 2026)

Electro-peroxone as a novel approach for direct and efficient remediation of pesticide-contaminated soil - Mohammad Ghazinezhad; Nader Mokhtarani; Kazem Ramezani (Process Safety and Environmental Protection, 2026)

Induction of systemic resistance by β-aminobutyric acid in sweet bell pepper fruit reduces chilling injury and Alternaria fungal decay - Kianoush Barari; Meisam Mohammadi; Mohammad-Ebrahim Ranjbar; Fardin Ghanbari (Postharvest Biology and Technology, 2026)

Trans-Zeatin Riboside enhanced plant regeneration and Auxins induced adventitious rooting in Stevia rebaudiana - Mohammad Aqa Mohammadi; Kecai Chen; Weicai Song; Liping Zhu; Jin Gao; Heng Yin (Plant Science, 2026)

The role of root phene interactions in zinc and copper uptake efficiency in maize under NPK fertilization - Prakriti Rajput; Shubham Sharma; Haroon Rashid Hakla; Urfan Mohammad; Bhubneshwari Khajuria; Gurdev Chand; Dhiraj Vyas; Sikander Pal (Plant Science, 2026)

Factors associated with perceived barriers to canine rabies vaccination among owners of unvaccinated dogs in Sierra Leone - Philip P. Mshelbwala; J. Scott Weese; Oyelola Adegboye; Roland Suluku; Ifeoluwapo Akanbi; Abdul G. Jalloh; Joseph A. Bunting-Graden; Mohammad Mahmudul Hassan; Charles E. Rupprecht (Preventive Veterinary Medicine, 2026)

Biological and chemical inducers modulate growth and defense mechanisms of tomato against tomato leaf curl Palampur virus - Roya Kazemi; Naser Safaie; Mohammad Reza Atighi; Masoud Shams-Bakhsh (Physiological and Molecular Plant Pathology, 2026)

Reply to discussion on “An analytical-experimental study of wave overtopping in the OBREC device utilizing the maximum wave momentum flux approach” by Parisa Setayesh and Mohammad Navid Moghim - Mohammad Navid Moghim (Ocean Engineering, 2026)