Occurrence of mycotoxins contamination in commercial feline and canine foods from China - Yaping Guo; Wei An; Xiumin Wang; Bing Han; Hui Tao; Bianfang Liu; Zhenlong Wang; Jinquan Wang (Mycotoxin Research, 2026)

Improved lightweight convolutional neural network models for the detection and evaluation of Fusarium head blight in wheat - Wang Zhang; Yi Ren; Zidi Guo; Han Li; Man Zhang; Jie Liu; Ruicheng Qiu (Journal of Zhejiang University-SCIENCE B, 2026)

Effects of biochar and NPK fertilization on growth, root traits, and physiological performance of Casuarina equisetifolia seedlings - Bin Xie; Lin Zhao; Qiping Qiu; Han Lin; Can Chen; Anqiang Xie; Chuanyang Jiang; Zichuan Chen (Journal of Soils and Sediments, 2026)

Ecological trade-offs between soil carbon storages and microbial communities in different forest types: based on 20-year plantation - Yihua Xiao; Shirong Liu; Han Xu; Zhigao Fu; Longchi Chen; Yan Wang; Huosheng Zhu; Jiuxiang Wang; Manyun Zhang (Journal of Soils and Sediments, 2026)

Quantifying the joint effects of soil salinity and fertility on rice growth and yield variability in coastal paddies of southwestern Korea - Seo-Woo Park; Nuri Baek; Se-In Lee; Eun-Seo Shin; Hyun-Jin Park; Han-Yong Kim; Kyo-Suk Lee; Kwang-Seung Lee; Nurgul Kitir Sen; Woo-Jung Choi (Journal of Soils and Sediments, 2026)

Estimation of actual evapotranspiration from the SEBAL model and comparison with four datasets in an irrigation district of China - Huan Cheng; Dengfeng Liu; Guanghui Ming; Songjun Han; Mohd Yawar Ali Khan; Lei Wang; Qiang Li (Irrigation Science, 2026)

Dynamics and biophysical regulation of evapotranspiration in winter wheat/summer maize rotation farmland in alluvial/sedimentary sand land in the ancient course of Yellow River - Xiaojuan Ren; Guodong Li; Xuejian Sun; Li Ma; Hui He; Qingtao Zhao; Longsheng Wang; Yunfei Gong; Bingqian Han; Chenxi Cao (Irrigation Science, 2026)

Revealing walking experiences for shading based gendered perceptions of thermal comfort in a hot city - Huiming Liu; Wensen Huang; Georgia Butina Watson; Yongxi Gong; Chaoyi Cui; Yueyang Han (International Journal of Biometeorology, 2026)

Short-term forecasting of seafood exports: a hybrid approach for strategic trade planning - Kiuk Han; Eunsong Won; Keunsuk Chung (Fisheries Science, 2026)

Exogenous lactate infusion enhanced VMH neuroplasticity and visceral fat reduction via PGC-1α-ERα pathway in female rats - Shuai Tian; Jing Han; Zhaomin Zhang; Jinchan Du; Wei Chen; Yang Liu (European Journal of Applied Physiology, 2026)

Age-stratified nomogram development and validation for predicting voriconazole trough concentrations above safety threshold in pediatric patients with hematologic malignancy - Na An; Yu Han; Chenhong Jia; Weijing Ding; Jia Liu; Yile Zhao (European Journal of Clinical Pharmacology, 2026)

The Role of Green Infrastructure in Enhancing Flood Resilience: A Spatial Perspective - Jinhee Han; Yoomi Kim; Katsuya Tanaka (Environmental Management, 2026)
The aim of this study is to empirically assess the effectiveness of green infrastructure (GI) in South Korea as a way to enhance flood resilience. We applied a spatial analytical approach to examine the impact of GI on flood resilience. Specifically, we tested spatial dependence with Moran’s I and local indicators of spatial association, addressing it with spatial lag and spatial error models. We compiled government data on GI and other regional attributes for 226 administrative districts in South Korea. Unlike previous studies that focused only on damage costs, this study incorporated both damage and recovery costs to calculate flood resilience costs. The findings show that flood resilience costs and GI distribution exhibit substantial spatial heterogeneity and significant spatial autocorrelation across local governments. Moreover, GI reduces flood resilience costs, although its effectiveness varies by type. No spatial spillover effect of GI on neighboring areas was identified, indicating that the impact of GI is localized and spatially confined. These results provide empirical evidence that GI plays a crucial role in strengthening local resilience against flood risk. The findings highlight the need to strengthen local resilience through spatially efficient expansion, hydrologically optimized design, and strategic allocation of GI, particularly considering flood vulnerability and interregional GI equity. By quantifying resilience costs and employing spatial analysis, this study advances both the theoretical understanding and the practical application of GI in flood-prone regions.

Microneedle-mediated delivery of hydroxypropyl-β-cyclodextrin-encapsulated Angelica sinensis (Danggui) essential oil for acne treatment: efficacy and mechanisms - Xiaoli Liu; Xiaojuan Li; Weijun He; Xiaoyu Han; Ting Xiao; Shiqi Guo; Yujie Jia; Liqun Lin; Ming Yang; Li Wang; Yuehong Xu (Drug Delivery and Translational Research, 2026)

Isolation of Rhizospheric Fungi from Crocus sativus L. Rhizosphere and their Effects on Host-Growth Promotion - Jing-Chao Xu; Xing-Guang Xie; Xin-Zhu Yu; Zi-hao Zhu; Xue-Wen Bi; Kun-miao Feng; Ying-jie Lu; Khalid Rahman; Bo Zhu; Lu-ping Qin; Zhen-zhen Zhang; Ting Han (Current Microbiology, 2026)

A targeted correction for arctic oscillation biases in seasonal forecasts - Ji-Han Sim; Baek-Min Kim; Ha-Rim Kim; Gaeun Kim; A-Young Lim; Yoo-Rim Jung; Ju Heon Kim; Geun Young Kim; Steven Cocke (Climate Dynamics, 2026)

Multiscale damage mechanisms of limestone under acid, alkali, and cyclic conditions - Han Zihao; Meldi Suhatril; Huzaifa Hashim; Puteri Azura Sari; Zhu Xi (Bulletin of Engineering Geology and the Environment, 2026)
Chemical corrosion is a critical factor driving the degradation of rock engineering properties, particularly in carbonate-rich formations. To investigate the mechanisms of limestone deterioration under extreme chemical conditions, this study conducted continuous immersion tests in acidic (pH = 2, H₂SO₄) and alkaline (pH = 12, NaOH) solutions, together with wet–dry cycling and acid–alkali alternation experiments. A control group without chemical treatment was also included for comparison. The macroscopic and microscopic responses of limestone were systematically analyzed through porosity, mass loss, P-wave velocity, uniaxial compressive strength, and microstructural characterization. Results revealed that degradation severity followed the order: acid–alkali alternation > acidic wet–dry cycling > continuous acid immersion > alkaline ≈ control. After 30 days, the acid–alkali alternation group exhibited the most severe deterioration, with porosity increasing from 0.29% to 0.42%, mass loss reaching 0.92%, P-wave velocity decreasing from 5796 m/s (10 days) to 5268 m/s (30 days), and UCS declining from 43.83 MPa (10 days) to 33.73 MPa (30 days). At the microscale, acidic conditions promoted CaCO 3 dissolution with CaSO₄ precipitation (up to 11.6% during wet–dry cycles), enlarging pores and pore throats, while acid–alkali alternation triggered cyclic precipitation–dissolution stresses that produced interconnected microcrack networks. In contrast, alkaline conditions showed only weak passivation and precipitation. A strength prediction model was established based on the chemical damage variable D defined by P-wave velocity, which exhibited a strong power-law relationship with strength (R 2 ≈ 0.93). This study explains three coupled mechanisms—dissolution-dominated, dissolution–crystallization synergy, and chemical fatigue—and proposes a simple, economical, and non-destructive velocity–strength framework for rapid durability assessment and early warning in acid rain, industrial effluent, and underground engineering contexts.

Comprehensive performance tests and evaluations of the slope protection effect of lignin and guar gum-modified loess - Zhouchen Li; Hengxing Lan; Weifeng Sun; Hao Zhang; Shijie Liu; Han Bao; Changgen Yan; Langping Li (Bulletin of Engineering Geology and the Environment, 2026)

A peak shear strength model of rock joints with different joint wall materials - Liren Ban; Weisheng Du; Han Chen; Yuhang Hou; Chunyang Cui; Chengzhi Qi (Bulletin of Engineering Geology and the Environment, 2026)

Cell membrane-camouflaged nanoparticles: selection strategy in incurable disease treatment - Hyunjun Moon; Jeongeun Kim; Gyuri Bae; Woong Choi; Suk Han Jung; Soobok Lee; Kangseok Lim; Jin Hee Na; Jeong Uk Choi; Jong-Ho Kim; Sangmin Lee (Journal of Pharmaceutical Investigation, 2026)

Integrative nanoparticulate strategies with SEDDS for controlled drug release: from lipid platforms to smart delivery systems - Sung Giu Jin; Jung Hyun Cho; Han-Gon Choi (Journal of Pharmaceutical Investigation, 2026)

An Analysis of the Process and Attributes Used in the Transaction Evidence Appraisal Method for USDA Forest Service Timber Sales in the US Southwest - Charles Tucker Herbert; Han-Sup Han; Mathew Smidt; Jaechoul Lee; Carlos Diniz (Journal of Forestry, 2026)

Identifying the spatial relationships of ecosystem service supply-demand and their driving factors in eastern China - Xufang Zhang; Rongqing Han; Yunhe Yin (Journal of Geographical Sciences, 2026)

Coupling landscape ecological risk and resilience for ecological management zoning: A case study in the Loess Plateau - Binyao Han; Hao Wang; Le Hui; Yongqiang Xia; Zhuangzhuang Wang; Liwei Zhang; Ying Luo (Journal of Geographical Sciences, 2026)

Selection of heat stress-tolerant cultivars from radish and analysis of gene expression under high-temperature - Jae-Han Choi; Won Byoung Chae; Man-Ho Oh (Genes & Genomics, 2026)

c-Myc regulated long noncoding RNA TRD-AS1 to affect the progression of oral squamous cell carcinoma - Ziyue Feng; Yuxuan Han; Xiaofeng Qin; Miaoting Fu; Xiangyang Li; Youming Zhu (Genes & Genomics, 2026)

A Systematic Review of the Application of Chinese Satellite Observations for Water Quality Remote Sensing - Bingqian Han; Muhammad Bilal; Muhammad Usman; Meng Mu; Kaishan Song; Ge Liu; Zhidan Wen; Yingxin Shang; Chong Fang; Sijia Li; Shidi Shao; Yang Li; et al. (Chinese Geographical Science, 2026)

Soil legacy effects in soybean intercropping enhance tobacco resistance to Fusarium root rot - Yuhao Dai; Chengzhi Wen; Zhijun Cheng; Zipeng Gao; Zhihui Wang; Peng Zhao; Mingshi Ding; Zhen Yang; Qiming Zhou; Jinpeng Gu; Dingguo Han; Lei Yang; et al. (Applied Soil Ecology, 2026)

Nutrient supply shapes fungal community structure and co-occurrence networks in biocrusts: Key roles of intermediate and rare taxa - Lina Zhao; Wenjing Zhang; Zongyi Jiao; Mingyang Geng; Yage Li; Yafeng Han; Zhe Zhao; Shaobin Gu; Xinrong Li (Applied Soil Ecology, 2026)

Assessing spatial linkage of multiple ecosystem services in the Loess Plateau based on landscape types - Binyao Han; Hao Wang; Le Hui; Yongqiang Xia; Zhuangzhuang Wang; Ying Luo; Xin Ye (Applied Geography, 2026)

From efficiency boundaries to structural diagnosis: Informing land use strategies in China through an integrated production possibility frontier and land sparing/sharing framework - Tao Wang; Huafu Zhao; Zhe Feng; Kening Wu; Jiacheng Qian; Xiao Li; Qinghua Wang; Xiaoxiao Wang; Congjie Cao; Huiqin Han (Applied Geography, 2026)

Metabolomic changes following PMSG-induced estrus synchronization in Qianbei Ma goats - Feng-Xin Qiao; Yong-Hong Ju; Xiao-Dong Wang; Peng-Cheng An; Quan Ji; Rui-Yang Li; Ting-Ji Zeng; Qing Liu; Dai-Yue Zhang; Zu-Han Feng; Mao-Sheng Cao; Xiang Chen (Animal Reproduction Science, 2026)

Label-free and isothermal multiplex detection of miRNAs using self-priming hairpin probes and light-up aptamer transcription - Hyogu Han; Hyo Won Jeon; Jieun Yang; Chang Yeol Lee; Jun Ki Ahn (Analytica Chimica Acta, 2026)

Pencil-drawn paper-based portable photoelectrochemical immunoassay of carbohydrate antigen 19-9 based on TiO2 hollow cube homogeneous junctions - Qinyan Chen; Qiong Lin; Yibin Zeng; Haining Li; Xiao Han; Dianping Tang; Gaoda Ju (Analytica Chimica Acta, 2026)

Integrating straw return with biodegradable film mulching reduces carbon footprint while increasing economic benefit in a garlic-rice rotation system - Qian Chen; Naijuan Hu; Anmin Zhang; Jide Fan; Guang Han; Qian Zhang; Liqun Zhu; Hongwu Sun (Agriculture, Ecosystems & Environment, 2026)

Increasing grassland productivity and reducing environmental N losses – Multiple benefits of advanced cattle slurry separation - Jincheng Han; Rainer Gasche; Benjamin Wolf; Steffen Schweizer; Noelia Garcia-Franco; Martin Wiesmeier; Ralf Kiese; Ulrike Ostler; Diana Andrade; Michael Schloter; Marcus Schlingmann; Heinz Rennenberg; et al. (Agriculture, Ecosystems & Environment, 2026)

Future food demand and agricultural land degradation in emerging economies: A spatial systems diagnosis from BRICS-plus - Youchao Shi; Xiaobin Jin; Xinyuan Liang; Bo Han; Yinkang Zhou (Agricultural Systems, 2026)

Spatially optimized forage cultivation reconciles livestock production and wildlife conservation in Alpine grasslands - Jiawei Xu; Han Guo; Jiahao Huang; Jie Wang; Shikui Dong; Yanjun Guo (Agricultural Systems, 2026)

Enhanced geodetic parameter estimation through three-level integrated VLBI combining quasar, satellite, and space observations - Han Liu; Xiancai Zou; Jiancheng Li (Advances in Space Research, 2026)

Predefined-time active fault-tolerant control for flexible spacecraft without angular velocity measurement - Xufeng Wu; Liu Zhang; Guowei Fan; Quanzhi Liu; Yang Xiao; Jianpeng Han (Advances in Space Research, 2026)

From species to therapeutic property: distribution differences of threatened Chinese medicinal plants under climate change - Yun-Han Chen; Rui Yang; Run-Han Jiang; Yu Xia; Ling-Feng Mao (Biodiversity and Conservation, 2026)

Genome characterization of a novel betaflexivirus from the wild tea plant Camellia taliensis - Jiajing Xiao; Jiajia Chen; Chunmin Zhang; Juan Long; Yuan Yu; Yongdong Yu; Yanhong Han; Renyi Liu (Archives of Virology, 2026)

Synergistic metabolism between Veillonella ratti and Lactobacillus acidophilus and its inhibition of enterohemorrhagic Escherichia coli infection in piglet - Wenhui Zheng; Yi Hao; Hejing Wang; Yuxin Han; Wenchao Song; Yanan Mu; Tianjia Feng; Zhaoyu Zhang; Bianfang Liu (Archives of Microbiology, 2026)

Re-evaluation and calibration of the redox threshold for lacustrine shale: a case study from Jurassic Lianggaoshan Formation in the Northern Sichuan Basin, SW China - Shaomin Zhang; Han Jiang; Chunyu Qin; Xinyu Zhang; Haitao Hong; Luyuan Han; Hua Bai (Arabian Journal of Geosciences, 2026)

Ablation of FBXO38 triggers lysosome-dependent STING degradation to drive chemotherapy resistance in cervical cancer - Xihua Shen; Qi Liu; Yan Li; Xiaoping Ma; Cengceng Lu; Rongyan Ma; Rui Han; Zhiyi Lin; Hu Han (Apoptosis, 2026)

Celecoxib potentiates ribociclib-induced apoptosis and anti-tumor activity by co-targeting COX-2/NF-κB and PI3K/AKT/mTOR pathways in hormone receptor-positive/HER2-negative breast cancer - Sanghee Han; Hail Kim; Minji Choi; Bo-Hyung Kim; Sumin Chae; Seok-Geun Lee (Apoptosis, 2026)

Necroptosis in pancreatic cancer: Molecular mechanisms and therapeutic implications - Yu-Jie Fan; Wei-Jia Liu; Chang Liu; Yi-Wen Zhu; Ti Chu; Hang-Shen Han; Dong-Dong Wu (Apoptosis, 2026)

Biological control of a novel strain Bacillus velezensis BFWR11 against tomato early blight - Yuxin Han; Wenhui Zheng; Yanan Mu; Tianjia Feng; Yi Hao; Wenchao Song; Jin Cai; Boting Zhan; Zhaoyu Zhang; Bianfang Liu (Antonie van Leeuwenhoek, 2026)

Design Rules for Robust Coronary Artery Segmentation: A Systematic Analysis of Dataset Size, Windowing, Architectures, and Vessel Geometry - Ming-Hui Hung; Yu-Wei Chiang; Hao-Yun Liu; Han-Hsuan Chu; Yu-Sen Huang; Pin-Yi Chiang; Hsin-Ming Chen; Tzung-Dau Wang; Shyh-Jye Chen; Wen-Jeng Lee (Annals of Biomedical Engineering, 2026)

Metabarcoding Chironomid Pupal Exuviae Enables Scalable Biomonitoring With High Comparability to Morphotaxonomy - Wu Han; Chu‐Ming Zhang; Cheng Qian; Tsz‐Ying Chan; Thilina S. Nimalrathna; Bai‐an Lin; Xiao‐Long Lin; Hong‐Qu Tang; Peter S. Cranston; Mathew Seymour (Molecular Ecology, 2026)
Conventional morphotaxonomy‐based biomonitoring requires modernization to enable timely assessments in the face of an accelerating freshwater biodiversity crisis. The Chironomid Pupal Exuviae Technique (CPET) is an established biomonitoring approach with considerable potential for integration with molecular methods, as the shed pupal skins of emerging adults provide a source of DNA. We tested the performance of DNA metabarcoding for detecting species richness, recovering beta‐diversity patterns and assessing biodiversity responses to environmental gradients using 15 mock communities and 12 natural chironomid pupal exuviae samples collected from Hong Kong streams. Additionally, the effects of primer choice were assessed by comparing a chironomid‐specific primer set (COI‐S) against a universal, highly degenerate primer set (COI‐V). Our results show that both primer sets achieved high species detection rates in mock communities (86% and 84%, respectively) and consistently recovered predefined community dissimilarities. In natural community samples, however, only COI‐S produced beta‐diversity patterns significantly congruent with that of the morphological dataset (Procrustes r = 0.74, p = 0.003). Both metabarcoding datasets effectively captured seasonal community shifts and demonstrated greater sensitivity to environmental gradients than traditional morphological identification. Notably, the COI‐S dataset explained the highest proportion of community variation (adjusted R 2 = 44.3%), along the environmental gradient, outperforming both the morphotaxonomy (32.5%) and the COI‐V (29.0%) analyses. Here we propose Meta‐CPET, an integrated framework that combines the ecological relevance of CPET with the efficiency, scalability, and resolution of DNA metabarcoding. Our findings show that bulk‐sample metabarcoding enables practical, standardized and large‐scale freshwater biomonitoring while maintaining strong comparability with conventional methods.

Assessing the Development Potential of Drip Irrigation in Oasis Regions Under Water and Land Constraints: Evidence From the Kashgar Irrigation District - Xiaokaitijiang Kasmu; Zihan Gao; Siqi Han; Yangguang Liu; Tuo Tin; Yunkai Li; Aimidula Aibaidula (Irrigation and Drainage, 2026)
Agricultural development in oasis regions is constrained by the performance of water‐saving technologies and the limitations of land and water resources. However, the effects of land and water constraints on agricultural development potential have rarely been quantified. This study proposes an assessment framework that integrates water‐saving potential under fixed cropland area and cropland expansion potential under limited water availability. Using the Kashgar Irrigation District in Xinjiang as a case study, we quantify the sustainable development space of the agricultural system under coupled land–water constraints through integrated model simulations. The results show that optimizing irrigation, strengthening groundwater regulation and improving efficiency can reduce irrigation water use by 7%–42% and total water consumption by 7%–22%. At the district scale, the drip irrigation scenario yields annual water savings of 4.47 × 10 8 m 3 , equivalent to 30% of the current irrigation demand, representing the primary adjustable margin under fixed land conditions. Without increasing total water withdrawals, these savings could support the expansion of up to 1.09 × 10 5 ha of cropland (approximately 31% of the existing irrigated area). These findings provide transferable insights into irrigation regime optimization and resource reallocation strategies for other oasis regions facing coupled water and land constraints.

Soil pH Amelioration Fosters Persistent Carbon Sinks Through Mineral Stabilization and Aggregate Protection - Xunzhuo Dong; Bingbing Han; Yunyao Zhong; Benyi Li; Mengfei Li; Yuyang Qi; Zhaolei Li (Global Change Biology, 2026)
The stability of soil organic carbon (SOC) is fundamental to the integrity of agricultural carbon credits but remains challenging to verify and predict. A persistent methodological challenge lies in isolating the specific effect of soil pH amelioration from confounding factors like organic matter inputs. Here, by applying bivariate linear mixed‐effects modelling to a global synthesis of 180 field trials, we quantitatively disentangled the effects of pH amelioration on SOC components across a stability continuum from bulk soils to aggregate fractions. The results showed that pH amelioration enhanced bulk SOC stocks by 18%–20%, with mineral‐associated organic carbon and microbial necromass carbon significantly increasing by 11%–15% and 12%–19%, respectively. Simultaneously, pH amelioration restructured soil architecture toward enhanced aggregate stability, preferentially enriching carbon within microaggregates (by up to 44% in alkaline soils). Structural equation modelling confirmed that this process is hierarchically driven by pH‐induced shifts in microbial biomass and aggregate stability. The pH amelioration‐shared increment in particulate organic carbon and mineral‐associated organic carbon tended to attenuate with prolonged experimental duration, while that in microbial necromass carbon remained invariant. Across organic substitution types, pH amelioration under manure substitution significantly increased all carbon components, while straw substitution exhibited a weaker pH amelioration‐shared effect on particulate organic carbon increment compared to biochar and manure. Our findings suggest that pH amelioration is a fundamental process that engineers persistent carbon sinks by directing carbon flow into mineral‐stabilized and physically protected pools. This work repositions precision pH management as an essential ecological engineering strategy and provides a mechanistic foundation for transitioning carbon credit protocols from stock‐based accounting to stability‐centric verification.

Nitrogen‐Driven Acidification and Microbial Shifts Contribute to a Breakdown in Carbon–Phosphorus Trade in the Rhizosphere - Shuo Sun; Ruzhen Wang; Jordi Sardans; Mengjiao Bi; Ying Zhang; Xinyu Fan; Xiaoyu Guan; Yong Jiang; Mingkai Jiang; Xingguo Han; Josep Peñuelas (Global Change Biology, 2026)
Anthropogenic nitrogen (N) deposition is reshaping terrestrial phosphorus (P) cycling. This effect is pronounced in the rhizosphere, where plants respond to P status by releasing root exudates. Yet it remains unclear whether these interactions drive P mobilization or immobilization. To capture both the chronic effects of N deposition and the transient effects of root exudates, we integrated a decade‐long N addition experiment (a single annual application of (NH 4 ) 2 SO 4 at 0, 2, and 5 g N m −2 year −1 ) with a 14‐day laboratory incubation. Specifically, rhizosphere and bulk soils from a Eurasian meadow steppe were amended with 13 C‐labeled low‐molecular‐weight organic acids (LMWOA; a single addition of acetic and succinic acids). Phosphorus transformation was quantified using sequential extraction and 31 P NMR, while underlying mechanisms were assessed via priming effects, phosphatase activity, and microbial functional genes. Nitrogen enrichment promoted the dissolution of mineral‐bound inorganic P (P i ) through acidification (pH drop > 1 unit), leading to the accumulation of secondary mineral P i and organic P (P o ). This was accompanied by reduced microbial phosphatase activity and lower abundances of the P‐cycling genes phoC and phoD . The above effects were stronger in the rhizosphere than in bulk soil. In the rhizosphere, LMWOA enhanced microbial P immobilization and P o accumulation, even as their positive priming effects accelerated soil organic carbon mineralization. These results were partly driven by the recruitment of key P‐cycling taxa such as Burkholderia and Rhodoplanes , suggesting a shift in carbon‐for‐P exchange between plants and microbes under N deposition. Collectively, our findings indicated that while N‐induced P solubilization may temporarily alleviate P limitation, synergy with increased LMWOA exudation promotes P o accumulation. Though P o can be labile compared to mineral‐bound forms, suppressed phosphatase activity likely constrains its mineralization. This inhibition potentially decelerates P cycling, thereby compromising the medium‐ to long‐term P supply within the Eurasian steppe.

Non‐Correlated Variation of Leaf and Fine Root Traits in Subtropical Forest Plants - Yuzhi Zhu; Meng Li; Junyong Zheng; Yongqiang Wang; Yanghang Ren; Han Zhang; Zeyu Feng; Sandy P. Harrison; I. Colin Prentice; Yue Zhang; Lewei Jin; Shuang Sun; et al. (Ecology Letters, 2026)
Plants employ multiple strategies to adapt to their growth environment. Characterizing key dimensions in plant trait space is important for understanding functional diversity within ecosystems. Leaf and root functional traits have been studied in the context of resource economics, but whether they covary, and through which mechanisms, is still debated. We investigated this in subtropical forests by sampling root and leaf traits on individuals of co‐existing species in two communities with different resource availability. We found largely non‐correlated variation between leaf and fine root traits both across and within communities, and a clear decoupling between leaf economic spectrum and root economic space, independent of evolutionary history. Our results suggest that leaf‐root trait relationships are shaped by an interplay between microenvironmental heterogeneity that drives decoupling and shared selection pressures promoting covariation. The interplay explains the weak observed coordination and highlights the importance of environmental context in predicting above‐ and below‐ground plant functions.

Functional Breakdown of Temporoparietal Junction Interaction in High-depression Individuals: Evidence from Multi-Metric Connectomics - Xiaotong Wen; Yao Fengge; Bin Han; Guodong Wei; Yuehan Gao; Yuying Chen; Ziyu Hao; Huanhuan Li; Fengyu Dou (Brain Structure and Function, 2026)

Asymmetric Response of a Mesoscale Eddy Dipole to Typhoon Ma-on (2011) - Xianghai Zeng; Xiayan Lin; Yu Liu; Guoqing Han; Juncheng Xie; Han Zhang (Journal of Marine Science and Engineering, 2026)
Typhoon passages typically induce significant upper-ocean responses, especially on the right side of the typhoon track. However, how mesoscale eddies modulate this left–right asymmetry remains insufficiently understood. Using high-resolution remote sensing data and reanalysis datasets, this study examines the impacts of a mesoscale eddy dipole influenced by Typhoon Ma-on (2011). The study finds that: (1) The eddy responses exhibit significant asymmetry: during Typhoon Ma-on (2011), the amplitude, circulation speed, and radius of the left side cyclonic eddy (CE) showed anomaly increases of 8.6 cm, 4.3 cm/s, and 54.3 km, respectively, whereas those of the right-side anticyclonic eddy (AE) showed anomaly decreases of 2.9 cm, 4.8 cm/s, and 13.9 km. (2) Mesoscale eddies modulate sea surface cooling with significant left–right asymmetry, differing from the conventional pattern of stronger right-side cooling. The left side CE enhanced surface cooling by up to 2.38 °C, while the right-side AE exerted a suppressing effect, with a cooling magnitude of 0.96 °C. (3) Within the CE, a significant negative temperature anomaly develops below about 20 m. Despite a relatively high Richardson number (Ri) and weak vertical shear that suppress excessive turbulent mixing, negative Ws-driven upwelling dominates, allowing cold water to be efficiently uplifted and maintaining or intensifying surface cooling. In contrast, the AE exhibits surface cooling but persistent positive anomalies below about 40 m, reflecting the partial retention of its subsurface warm water. In this case, reduced Ri and enhanced shear instability promote stronger vertical mixing, enabling subsurface heat to be transported upward, thereby offsetting and weakening the surface cooling signal.

Comparison of surface-guided radiotherapy-based deep inspiration breath hold and continuous positive airway pressure techniques in left-sided breast cancer: dosimetric and workflow analysis - Su Chul Han; Jason Joon Bock Lee; Jin Dong Cho; Il Sun Jeong; Heerim Nam; Hyebin Lee (Physical and Engineering Sciences in Medicine, 2026)

The causal relationship between polycystic ovary syndrome and structural changes in brain: a Mendelian randomization study - Han Yang; Wei Xie; Camilo Alberto Pinzon Galvis; Si Huang; Xu He; Si-yi Yu; Qing You; Fan-rong Liang; Zhi-yong Xiao; Ning Li (Brain Imaging and Behavior, 2026)

Establishment of an Astronomical Time Scale and Discussion on the Sedimentary Origin of the Member 4 Glutenite, Paleogene Wenchang Formation, Enping 21 Sag, Zhu III Depression, Pearl River Mouth Basin, South China Sea - Shangfeng Zhang; Yuying Feng; Yaning Wang; Rui Han; Gaoyang Gong; Xinwei Qiu (Journal of Marine Science and Engineering, 2026)
Coarse-grained clastic systems in rift basins are often considered unfavorable for preserving continuous astronomical records. This study investigates the thick conglomeratic succession in the upper Member 4 (43.90–44.73 Ma) of the Wenchang Formation in the Enping 21 sub-sag, Yangjiang East Sag, Zhu III Depression, Pearl River Mouth Basin. Integrating cyclostratigraphy, petrography, and seismic-logging analyses, we established a high-resolution astronomical timescale (43.90–44.73 Ma) covering approximately 828 kyr. Cyclostratigraphic results indicate a highly continuous depositional record with an optimal sedimentation rate of 19.55 cm/kyr. Petrographic and geochemical evidence—including low structural maturity, dominant igneous lithic fragments, and high detrital zircon Th/U ratios—reveals a proximal volcaniclastic source, characterizing the studied interval as tephroid successions. Anomalously high GR responses and chaotic seismic facies further distinguish this succession from conventional terrigenous deposits, linked to a nearby identified magmatic body. Our results suggest that rapid accumulation of volcaniclastic flows and ash fallout, driven by proximal magmatic activity, reduced hydrodynamic reworking and facilitated the preservation of astronomical signals. This study highlights that in active lacustrine rift basins, magmatic activity significantly dictates sedimentary infill patterns by providing rapid volcaniclastic input, thereby enabling the establishment of precise chronostratigraphic frameworks even within complex, coarse-grained depositional systems.

Coupled Source-to-Sink Relationships in a Rifted Lacustrine Basin: A Case Study of the Eocene Wenchang Formation Member 6 (W6), Yangjiang East Sag, Pearl River Mouth Basin - Shangfeng Zhang; Linyuan Shi; Yaning Wang; Gaoyang Gong; Rui Han; Xinwei Qiu (Journal of Marine Science and Engineering, 2026)
The formation and spatial distribution of sedimentary systems in rift-lake basins are jointly controlled by multiple factors, including sediment supply rates from source areas, clastic sediment transport pathways, and basin geometry and intrabasinal structural configuration (e.g., accommodation zones and faults), which strongly influence the architecture of depositional systems and basin filling processes. The Wenliu Formation (Wenliu Member, Late Paleogene) of the Wenchang Group in the Enping 20/21 Depression of the Yangjiang East Sag, Pearl River Mouth Basin, developed a multi-source and multi-channel sand-transport system; however, the matching relationships and coupling mechanisms among different source areas, transport pathways, and depositional systems remain poorly understood. Based on three-dimensional seismic data, drilling, and well-log information, combined with heavy mineral assemblages and detrital zircon U–Pb age spectra, this study comprehensively investigates the source areas, paleochannel clastic sediment transport pathways, and depositional systems of the Wenliu Member, systematically establishing the source-to-sink (S2S) framework. The results indicate that sediments of the Wenliu Member were supplied from four main source areas, including the northwestern Yangchun Uplift, northeastern Enyang low uplift, and southwestern Yangjiang low uplift, with nine major paleochannel clastic sediment transport pathways identified. The different source zones show distinct variations in area, slope characteristics, and sediment supply modes, corresponding to differentiated paleochannel types and paleodrainage configurations. The study area overall exhibits a typical multi-channel convergence depositional pattern, dominated by braid-delta and fan-delta systems. The Enyang low-slope source zone generated the largest braid-delta deposits, whereas fault-transformed source zones produced fan-delta deposits adjacent to active faults and along basin-margin fault systems. Quantitative analysis further indicates that depositional-system scale is significantly correlated with source-area size, paleodrainage development, and paleochannel geometric parameters. Large depositional bodies are more likely to form when the source area exceeds ~60 km2, the paleochannel width exceeds ~1.4 km, and the cross-sectional area exceeds ~10 km2. Integrating the spatial relationships among source areas, transport pathways, and depositional systems, four source-to-sink subsystems are identified, which can be further classified into two typical depositional patterns: a long-source gentle-slope braid-delta pattern and a proximal-source rapid-accumulation fan-delta pattern. This study elucidates the coupling relationships among source areas, clastic sediment transport pathways, and depositional sinks in a multi-source rift-lake basin, providing a geological basis for predicting sedimentary systems and guiding hydrocarbon exploration in the study area.

Integrated multi-omics profiling reveals the potential role of maternal systemic immune dysregulation driven by monocyte/macrophage in preeclampsia - Xiaolei Yuan; Kexin Han; Xiaolu Zhan; Yuan Qi; Shuxian Yang; Yingpu Li; Sifan Zhang; Kexin Chen (Inflammation Research, 2026)

Myasthenia Gravis patients have reduced DTI-ALPS-Index and gBOLD-CSF coupling, suggesting impaired brain waste clearance - Jianxian Zeng; Shuting Han; Mengying Zhu; Yi Shang; Peng Wu; Qinghua Gu; Yonggang Li (Brain Imaging and Behavior, 2026)

AUV Path Planning Method for Underwater Moving Target Search Based on a Target-Position-Controlled Mutation Strategy Genetic Algorithm - Qiuying Wang; Shuo Zhang; Yunfeng Han (Journal of Marine Science and Engineering, 2026)
To accomplish underwater search missions of the target with stochastic motion, path planning is required prior to autonomous underwater vehicle (AUV) operations. Genetic algorithms (GAs) are a classical approach for target search path planning; however, when applied to moving underwater targets, they often rely on oversimplified motion models and lack flexible mutation direction control, resulting in suboptimal search paths and reduced detection performance. To address these limitations, this paper proposes a GA-based path planning method incorporating a target-position-controlled mutation strategy. First, a Markov process combined with a grid-based approach is used to model stochastic target motion and derive the spatial probability distribution of target positions. Second, based on the target distribution grid, the influence of random fluctuations on sonar signals is simulated to construct a probabilistic detection model. Finally, the target distribution and detection probability model are integrated into the proposed GA to generate an optimal AUV search path. Simulation results show that the proposed method effectively improves path planning for moving targets under stochastic conditions, increasing the target cumulative detection probability from 0.33 to 0.48.

Multi-Scale Temporal Uncertainty-Aware Hierarchical Adaptive Ensemble for Intelligent Ship Emission Monitoring and Prediction - Duc-Anh Pham; Kyeong-Ju Kong; Jung-Min Kim; Hee-Sung Yoon; Seung-Hun Han (Journal of Marine Science and Engineering, 2026)
This paper presents a novel Multi-Scale Temporal Uncertainty-aware Hierarchical Adaptive Ensemble (MSTU-HAE) algorithm for intelligent ship emission monitoring and prediction in maritime environmental compliance applications. The maritime shipping industry contributes approximately 3% of global CO2 emissions and significant amounts of nitrogen oxides and sulfur oxides, necessitating advanced predictive monitoring systems. The proposed MSTU-HAE algorithm integrates three key innovations: multi-scale temporal feature extraction using causal convolutions at short-term (5 samples), medium-term (20 samples), and long-term (60 samples) windows; gas-specific attention mechanisms that automatically weight temporal scales based on individual emission gas characteristics; and three-level hierarchical uncertainty quantification encompassing individual model uncertainty, ensemble disagreement, and regulatory compliance risk assessment. Experimental validation was conducted using emission data collected from a fishing vessel over 3 operational days (1732 original samples), augmented to 17,320 samples via controlled replication with noise injection to support model training. Rigorous temporal data splitting with 70%/15%/15% train/validation/test partitioning ensures no data leakage. Comparative analysis against six baseline methods (XGBoost, LSBoost, AdaBoost, Ridge Regression, Random Forest, and K-Nearest Neighbors) demonstrates that MSTU-HAE achieves superior average performance, with R2 = 0.9670 and NSE = 0.9670 across all emission gases. This research contributes a robust, interpretable, and scalable prediction framework that advances the state of the art in maritime environmental monitoring through novel algorithmic innovations in temporal feature learning and uncertainty quantification.

17β-Estradiol alleviates cognitive deficits by modulating fear memory reconsolidation in a PTSD rat model - Han Wang; Han Lin; Zilong Zhong; Baoying Jiang; Siyi Li; Jiahao Tang; Xiaoping Zhou; Guohui Zhu; Yang Liu; Wenhao Han; Jinhua Dou; Lin Sun (Psychopharmacology, 2026)

Field Measurement and Statistical Analysis of Ice Conditions and Local Ice Loads During the Arctic Voyage of RV Xuelong-2 - Jianwei Wang; Ningbo Zhang; Renjie He; Xin Li; Qing Wang; Duanfeng Han (Journal of Marine Science and Engineering, 2026)
The structural safety of polar ships is critically dependent on local ice loads acting in the ship–ice interaction area. Ice conditions and ship speeds play dominant roles in influencing local ice loads. Field measurement serves as a crucial approach for accurately assessing and scientifically understanding local ice loads and ice conditions. The instrumentation for the field measurement on RV Xuelong-2 is discussed in this study. In the 12th Chinese National Arctic Research Expedition, digital processing technologies are employed for image recognition and statistical analysis of ice concentrations and thicknesses. The influence coefficient matrix method is validated by a physical experiment and applied to identify local ice loads from ice-induced strains. Subsequently, the relationship between local ice loads, ice conditions, and ship speeds is statistically analyzed and mechanistically explained. The results show that the coupling effect between ship speeds and ice parameters, along with the competition between ice failure modes, may cause ice load peaks to transition from increasing to decreasing at a specific ship speed and ice thickness. A prolonged ice load duration under high ice concentrations is an important factor contributing to the positive correlation between ice load peaks and ice concentrations.

Abnormal dynamics of brain networks in bipolar disorder: a dynamic degree centrality and imaging–transcriptomic investigation - Chunguo Zhang; Leyi Zhang; Jiaquan Liang; Yiding Han; Haohao Yan; Wei Huang; Xiaoling Li; Chaohua Tang; Jinbing Xu; Yangpan Ou; Guojun Xie; Wenbin Guo (Psychopharmacology, 2026)

Functional connectivity between the caudate nucleus and the frontal lobe and its association with executive functions in children and adolescents: a resting state fMRI study - Jiyea Kim; Tae-hyeong Kim; Haemi Choi; Yeeun Kim; Dong-Gyun Han; Yunho Kim; Jungeun Cho; Bumhee Park; Min-Hyeon Park (Brain Imaging and Behavior, 2026)

Assessing the Impact of Climate Change on the Distribution of Portunus trituberculatus in Zhoushan Fishing Ground by Using the Maximum Entropy Method (MaxEnt) - Bo Zhan; Zhiqiang Han (Fishes, 2026)
Based on previous studies and the ecological characteristics of Portunus trituberculatus, we hypothesized that climate change could substantially reshape its suitable habitat in Zhoushan fishing ground. Under present-day climate conditions (2010–2020), P. trituberculatus exhibits a distinct seasonal distribution pattern in this region. However, its potential spatial response to future climate change, and whether suitable habitat will remain available, remains poorly understood. To address this gap, we combined species occurrence records with environmental variables from the Bio-ORACLE v3.0 database, including benthic temperature, benthic salinity, benthic current velocity, primary productivity, bathymetry, topographic slope, and topographic aspect, to develop a maximum entropy (MaxEnt) model and predict the potential distribution of suitable habitat for P. trituberculatus under present-day conditions and future SSP1-2.6 and SSP2-4.5 scenarios for 2030–2040, 2040–2050, and 2090–2100. Model performance was high across all seasons, with area under the curve values exceeding 0.80. Primary productivity and benthic temperature were the dominant environmental predictors, highlighting the joint influence of trophic conditions and thermal constraints on habitat suitability. Future projections revealed pronounced seasonal reorganization of suitable habitat rather than a uniform range shift. Spring suitable habitat expanded consistently under both scenarios, with the magnitude of expansion increasing toward the end of the century and reaching 46.9% by 2100 under SSP2-4.5, likely because warming relaxed low-temperature limitation during the early seasonal transition. In contrast, suitable habitat in autumn and winter generally contracted. Autumn losses were moderate but persistent, ranging from 5.4% to 16.4%, whereas the strongest declines occurred in winter, particularly under SSP2-4.5, where habitat reductions exceeded 30% after mid-century. These contractions were likely associated with cumulative thermal stress and related environmental changes under continued warming. Summer responses were scenario-dependent, showing weak gains or net declines under SSP1-2.6 but substantial expansion under SSP2-4.5 after mid-century, reaching up to 23.6% by 2050, suggesting that habitat suitability in this season is shaped by interactions among thermal conditions, trophic support, and habitat characteristics. Overall, these findings reveal strong seasonal asymmetry in habitat responses to climate change and provide a scientific basis for seasonally adaptive management of P. trituberculatus resources in Zhoushan fishing ground.

Resilient Optimal Dispatch of Ship-Integrated Energy System and Air Lubrication Using an Enhanced Traffic Jam Optimizer - Wanjun Han; Jinlong Cui; Xinyu Wang; Xiaotao Chen (Journal of Marine Science and Engineering, 2026)
With increasingly stringent greenhouse gas emission regulations in the shipping industry, there is an urgent need for an efficient energy management strategy for new energy ship power systems. However, existing dispatch models often overlook the dynamic energy-saving potential of active drag reduction technologies and lack effective optimization algorithms capable of handling high-dimensional, multi-constrained problems. To address these problems, this paper proposes a novel integrated dispatch framework for hybrid energy ship power systems that incorporates air lubrication systems. First, a unified multi-energy dispatch model is established, coupling the dynamic operation of air lubrication systems with electrical, thermal, and propulsion energy flows. Second, an Improved Traffic Jam Optimizer algorithm is proposed, which enhances global exploration and local exploitation through a nonlinear parameter adaptation mechanism, differential mutation strategy, and dynamic hybrid search architecture. Convergence analysis based on Markov chain theory is provided to guarantee algorithmic reliability. Simulation results demonstrate that the proposed algorithm outperforms existing methods in terms of convergence speed, solution accuracy, and stability. Furthermore, integrating air lubrication systems into the ship power system reduces total operating costs and greenhouse gas emissions by up to 20.569% and 6.310%, respectively.

Phenolic constituents from the fruits of Viburnum urceolatum and their α -glucosidase and α -amylase inhibitory activities - Chun-Chao Zhao; Xue-Jing Zhu; Zi-Han Wang; Hong-Juan Zhou; Yu-Fei Yang; Jian-Hua Shao (Natural Product Research, 2026)

Tongqiao Huoxue Decoction (TQHXD) ameliorates ischaemic stroke in rats by promoting glycolysis enhancing neurogenesis and activating BDNF/AKT/CREB signalling pathway - Zhongyu Liu; Gongda Li; Wenwen Li; Xinyue Zheng; Hua Han; Peiliang Dong (Metabolic Brain Disease, 2026)

Applied research on predicting strong earthquake risk areas in western Yunnan based on Curie-point depth and seismogenic characteristics - Xing Ju; Hua Guo; Zhi-tao Shao; Song Han; Meng-chu Xiao; Jin-peng Huang (Applied Geophysics, 2026)

Porosity Inversion Using a Joint Dictionary and Spatial Structure with Simultaneous Constraints: An Application to Carbonate Fractured-Vuggy Reservoirs - Feng Ma; Ming Lei; Fei Xu; Han-peng Cai; Yu Liu; Ting Cheng; Yao-jun Wang; Guang-min Hu (Applied Geophysics, 2026)

Study on S-wave Velocity Structure and Seismogenic Structure in the Source Region of the 1976 M6.2 Horinger Earthquake - Dong-yang Pei; Xiao-ming Han; Juan Li; Fan Zhang; Li-feng Chen; Shu-bo Wang; Wei Guo; Xin Wang; Tie-suo Zhao; Xing Zhao; Jin-zhe Bao (Applied Geophysics, 2026)

Search-Information-Driven Collaborative Task Planning for Multi-UUV Systems - Peng Chang; Yintao Wang; Dong Li; Qingliang Shen; Zhengqing Han (Journal of Marine Science and Engineering, 2026)
To address the problems of unreasonable task allocation and low target search efficiency in the collaborative search of multiple unmanned undersea vehicles (UUVs) in complex marine environments, this paper proposes a search-information-driven collaborative task planning method for multi-UUV systems, and constructs a systematic and integrated multi-UUV collaborative task planning framework. Considering the spatial characteristics of the complex underwater environment and sonar detection rules, an underwater task environment grid model and an active sonar instantaneous detection model are constructed as the environmental and detection foundation of the framework. Within the framework, the Gaussian Mixture Model (GMM) is adopted to realize dynamic division of task regions, and reasonable resource allocation among multiple UUVs is achieved by defining scientific area allocation indicators. A search information map consisting of target probability distribution and environmental uncertainty is established, and a receding horizon planning framework is introduced to balance short-term detection effectiveness and long-term search value. Furthermore, a motion-coded Grey Wolf Optimization (GWO) algorithm is proposed to generate continuous UUV paths, which avoids path discontinuity caused by discrete grids and ensures the convergence efficiency of the algorithm. Simulation results verify that compared with traditional methods, the proposed method improves the total probability benefit by 19.87% and the number of discovered targets by 18.29%, demonstrating better search performance and environmental adaptability.

Coupling of Leaf Spectral Reflectance with Photosynthetic Physiology in Sugarcane Under Drought Stress - Haiwei Chu; Liyi Chen; Meiyan Wu; Shijian Han; Zhenli He; Yangrui Li; Suli Li; Zhigang Li (Sugar Tech, 2026)

Dynamically Weighted Joint Full Waveform Inversion of Active and Ambient Noise Passive Body-Wave Seismic Data - Xujia Shang; Liguo Han; Pan Zhang; Donghao Zhang; Wensha Huang (Surveys in Geophysics, 2026)

Assessment of Spatial Heterogeneity in Reconstructed Dump Stratigraphy: From Geomaterial Composition to Spatial Structure - Yufan Xu; Yu Tian; Shaogang Lei; Xiaotong Han; Jianying Zhang; Hang Chen (Rock Mechanics and Rock Engineering, 2026)

Simulation of Local Ultrasonic Intensity and Optimization of Sono-Reactors Geometry for Oily Sludge Treatment - Chenyang Li; Yimin Sang; Dading Zhang; Duan Zhao; Bengao Li; Dekun Ji; Ling Zhu; Yanhe Han (Environmental Modeling & Assessment, 2026)

Role of CRM1-mediated SFPQ/S100A8 complex formation in psoriasis - Geunyeong Kim; Yujin Hong; Ji-Sook Lee; Juram Lee; Tae Young Han; In Sik Kim (Molecular & Cellular Toxicology, 2026)

ProtFormer-Site: Ultra-fast and Accurate Prediction of Protein-Protein Interaction Sites with Protein Language Model - Lei Wang; Shali Dong; Han Zhang; Yuchen Chen; Xudong Li; Yan Wang; Zhidong Xue (Interdisciplinary Sciences: Computational Life Sciences, 2026)

New features of Peristediidae fishes in the South China Sea - Han Tian; Hsuan‐Ching Ho; Pan Liu; Mingting Li; Wei Xie; Yane Jiang; Xingle Guo; Jiajie Chen; Junpeng Yang; Kedong Yin (Journal of Fish Biology, 2026)
Deep‐diving surveys enable observations of new features of behavioural and functional dimensions of the fish that are typically missing from specimen‐based taxonomy. This study documents three rare armoured searobins (Peristediidae: Scalicus engyceros , Paraheminodus murrayi , Peristedion liorhynchus ) in Xianbei Seamount, Zhongsha Islands and Shenhu Canyon in the South China Sea. Not seen in the dead specimen, the fish in life exhibits bizarre shrimp‐like (in common sense) morphology: the lip barbels formed a laterally rake‐like structure, and the pectoral fins functioned as legs that literally ‘walked’ on the sediment. The fish S. engyceros showed both sideways and backward walking. The paired pectoral fins extrude outwards laterally like flat plates, supporting body balance during walking and swimming. When disturbed, individuals escaped rapidly using both pectoral appendages and tail fins, combining shrimp‐like jerky movements with typical fish swimming. The same species have been reported to occur in both the North and South Pacific oceans, suggesting that their oceanic distribution is by larval dispersal via oceanic currents such as equatorial and Indonesian throughflow currents. The co‐occurrence of three congeners in the same sea may hint local geographic speciation at work after settlement in a seamount habitat.

A new record of triggerfish (Tetraodontiformes: Balistidae) from China with a complete mitogenome - Jia‐Jie Chen; Han‐Ye Zhang; Pan Liu; Qian Gao; Jin‐Qing Ye (Journal of Fish Biology, 2026)
We report the first confirmed record of the largescale triggerfish, Canthidermis macrolepis (Boulenger, 1888), from the South China Sea, based on a specimen collected near Wenchang, Hainan, China. Sequencing of the complete mitochondrial genome (16,527 bp) revealed typical vertebrate mitogenome organisation, comprising 37 genes and a control region. The genome displayed A + T bias (55.1%) and strong purifying selection across all protein‐coding genes. Phylogenetic analyses with both cytochrome c oxidase subunit I (COI) and whole mitogenome datasets confirmed the monophyly of Canthidermis and its sister relationship with Canthidermis maculata , consistent with previous morphological and molecular studies. However, the COI gene, while distinguishing most balistid genera, failed to separate Balistoides viridescens and Pseudobalistes flavimarginatus —suggesting recent divergence or taxonomic complexity—highlighting the need for integrative taxonomic approaches. This study provides a valuable mitochondrial genomic resource and clarifies the phylogenetic position of C. macrolepis , enhancing the understanding of triggerfish diversity and evolution in the Indo‐West Pacific.

Recent development and applications of emerging biosensing technologies and on-site analytical devices for food adulteration detection: a critical review - Biru Han; Xinna Xie; Yina Zhao; Jingwen Zhang; Xinyan Yang; Yujun Jiang; Wei Zhang; Xianlong Zhang (Critical Reviews in Food Science and Nutrition, 2026)

Mercury dynamics and speciation in paddy soils irrigated with acid mine drainage from abandoned coal mine: Insights from vertical profiling - Shasha Liu; Longchao Liang; Xiaohang Xu; Yuling Kuang; Le Wang; Guangle Qiu; Zhuo Chen; Xian Dong; Jialiang Han (Acta Geochimica, 2026)

Multi-omics, molecular modeling and experimental analysis of carcinogen benzo(a)pyrene promoting the progression of laryngeal cancer - Yifan Hu; Zhizhen He; Xiuping Yang; Baoai Han; Xiong Chen (Molecular Diversity, 2026)

Ginsenoside Rh2-modified liposomes for targeted delivery of Puerarin alleviate brain ischemia–reperfusion injury - Meiyan Wei; Wei Han; Jinglan Wu; Zhe Li; Mengbin Tian; Jian Xu; Xiaolan Chen; YongPing Zhang (Drug Delivery and Translational Research, 2026)

Preliminary Study on Broodstock Management, Inducing Natural Spawning and Larval Rearing of Silver Pomfret, Pampus argenteus - In Joon Hwang; Jong Cheol Han (Fishes, 2026)
Silver pomfret (Pampus argenteus, family Stromateidae) is a highly valuable marine fish species with significant commercial demand; however, its aquaculture remains undeveloped due to limited knowledge of captive breeding and seed production. To our knowledge, this is the first successful report on the induction of maturation, natural spawning, and larval rearing of silver pomfret under captive conditions in Korea. Wild broodstock (33 individuals in 2020; 250 individuals in 2021) were collected from the southern coastal waters of Korea using set nets. In the first year, water temperature management alone successfully induced gonadal maturation, as evidenced by a significant increase in the gonadosomatic index (GSI) and the presence of vitellogenic oocytes (400–500 μm) in April. In the second year, natural spawning was observed on fifteen occasions from May to September 2022, yielding a total number of 157,050 eggs. Fertilized eggs were spherical, transparent, and pelagic, with diameters ranging from 1.29 to 1.37 mm. Hatched larvae (total length: 4.85 ± 0.22 mm) exhibited poor feeding responses to rotifers and high early mortality within two weeks post-hatching, with the maximum rearing period reaching 24 days post-hatching. These findings demonstrate that water temperature management alone is sufficient to induce maturation and natural spawning of silver pomfret, and highlight the critical need for optimizing larval feeds, improving broodstock nutritional management, and conducting endocrine profiling during reproduction to establish a complete aquaculture protocol for this species.

Two novel spermidine alkaloids from the roots of Capparis acutifolia - Yu-Xiao Han; Shu-Qing Kuai; Hui-Long Sun; Hong-Gang Wang (Natural Product Research, 2026)

Himalaflavones F and G, two new flavonoids from the roots of Oxybaphus himalaicus Edgew with anti-inflammatory activity - Han Yuan; Nan Wang; Yi Lan; Zhuoqing Cheng; Yiran Xiong; Zhaoyue Dong; Zhihua Liao; Xiaozhong Lan; Guowei Wang; Min Chen (Natural Product Research, 2026)

Deciphering multi-stage W-Sn mineralization at ore-field scale: new U-Pb geochronology and trace element fingerprinting from the world-class Dayu district, Nanling - Kai-Han Zhang; Pei Ni; Jun-Yi Pan; Yao-Hui Jiang; Guo-Guang Wang; Ming-Sen Fan; Gen-Wen He; Lin-Lin Peng; Zhe Chi; Liang Han; Jun-Ying Ding; Wen-Sheng Li (International Geology Review, 2026)

Isolation and characterization of a novel strain of Rhizopus arrhizus for effective biodegradation and detoxification of zearalenone - Dan He; Yunfan Shan; Han Qiu; Gang Wang; Junqiang Hu; Yuzhuo Wu; Keke Ji; Hao Xu; Yin-Won Lee; Jianhong Xu; Xin Yan (World Journal of Microbiology and Biotechnology, 2026)

Comparison between genomic alterations in mouse, pig, and human through whole-genome sequencing - Geon Hue Bae; Seong Gyu Kwon; Jeong-Woo Choi; Joo Hee Hong; CheolMin Jeon; Areum Cho; JaeEun Shin; Mee Sook Jun; Man-Hoon Han; Seock Hwan Choi; Ji Won Oh (Journal of Genetics, 2026)

Effects of Offshore Wind Farm-Associated Electromagnetic Fields on the Physiology and Behavior of Sebastes schlegelii - Tingting Wen; Hongwu Cui; Zhengguo Cui; Xinxing Zhang; Qi Zhang; Juanjuan Sui; Xixi Han; Huanhuan Jiang; Congcong Xing; Mian Xie; Yanrong Zhou; Weihan Yin; et al. (Fishes, 2026)
To evaluate the potential biological effects of electromagnetic fields from offshore wind farms on Sebastes schlegelii, a laboratory-controlled chronic exposure experiment was conducted using a magnet-based static magnetic field system. Each group contained 60 fish distributed across four replicate tanks, with 15 fish per tank, and the fish were continuously exposed for 20 d under controlled water-quality conditions. Daily video monitoring of collective shoaling behavior was combined with multi-tissue physiological and biochemical analyses. Electromagnetic field exposure increased the swimming speed, burst frequency, activity ratio, spatial coverage, occupancy entropy, and polarization, while reducing the nearest neighbor distance, group radius, and group area. At the physiological level, cortisol increased mainly in the liver and brain, ACTH showed tissue-dependent modulation, SOD remained relatively stable, and glutathione increased in multiple tissues, especially in the liver, gut, and brain. Correlation analysis indicated a close coupling between behavioral reorganization and endocrine–redox regulation, suggesting that chronic EMF exposure shifted Sebastes schlegelii into a stress-associated but functionally coordinated collective state.

Artemiannua A, new sesquiterpenoid from the aerial part of artemisia annua with anti-inflammatory activity - Mohammad Mahmoud Nagdy; Chengdan Meng; Han Yuan; Feng Ju; Salwa El-Hallouty; Lingjiang Zeng; Fancheng Meng; Zhaoyue Dong; Zhihua Liao; Min Chen (Natural Product Research, 2026)

Permeability Evolution and Failure Behavior of Coal Under Coupled Oil–Gas Porous Flow and Mining-Induced Stress - Yawu Shao; Lei Zhu; Gang Han; Haifei Lin; Wei Yao; Hu Liu; Jiahao Xie; Tao You; Mingming Sun; Jin Wang (Rock Mechanics and Rock Engineering, 2026)

MAAT: A Marine-Aware Adaptive Tracker for Robust and Real-Time Multi-Object Tracking in Maritime Environments - Xinjie Han; Qi Han; Yunsheng Fan; Dongdong Mu (Journal of Marine Science and Engineering, 2026)
Multi-object tracking (MOT) is a key technology for enabling autonomous navigation of unmanned surface vehicle (USV) as it provides continuous perception of surrounding maritime targets and supports navigation decision-making. However, videos acquired on maritime platforms typically suffer from challenges such as platform-induced jitter and nonlinear object motion, which significantly degrade tracking performance. To address these challenges, this paper builds upon ByteTrack by incorporating an adaptive Kalman filtering scheme and proposing a density-aware association strategy, resulting in a novel tracker termed the Marine-Aware Adaptive Tracker (MAAT). Specifically, an adaptive Kalman filter is introduced to increase the contribution of high-confidence detections during the state update process, thereby enhancing the stability and robustness of state estimation. Furthermore, to better mitigate the frequent identity switches caused by severe platform jitter from the USV observation platform, a density-aware association strategy is proposed. This strategy dynamically adjusts the composition of the cost matrix according to the density of high-confidence targets, enabling more reliable data association under varying scene conditions. Finally, the proposed tracking algorithm is evaluated against several state-of-the-art methods on the Singapore Maritime Dataset. It achieves competitive performance, attaining 44.37 MOTA and 43.857 IDF1. Moreover, MAAT operates in real time, running at 41.4 FPS. The experimental results demonstrate that MAAT is capable of performing accurate and real-time multi-object tracking in dynamic maritime environments with surface fluctuations, thereby providing effective technical support for intelligent maritime surveillance applications.

Astronomically Constrained Palaeoclimate Reconstruction and Drivers of Organic Carbon Burial: Evidence from the Lower Eocene Wenchang Formation, Eastern Yangjiang Sag - Rui Han; Shangfeng Zhang; Xinwei Qiu; Yaning Wang; Gaoyang Gong; Chengcheng Zhang (Journal of Marine Science and Engineering, 2026)
Sub-sag 21 in the eastern Yangjiang Sag, Pearl River Mouth Basin, South China, contains a thick lacustrine source-rock interval within the lower Wenchang Formation and is a major exploration target on the northern margin of the South China Sea. However, the timing of deposition during the early to middle Eocene remains poorly constrained, and the applicability of quantitative palaeoclimate reconstruction methods in low-latitude lacustrine basins requires further evaluation. In this study, we analyzed mudstones from the lower Wenchang Formation in Well E1. Using cyclostratigraphic constraints, we applied AstroGeoFit to construct an astronomically tuned age model, and combined palynological coexistence analysis with geochemical weathering proxies and linear–regression calibration to quantitatively reconstruct and cross-validate mean annual temperature and mean annual precipitation. Within this time-calibrated framework, we further quantified organic-carbon burial to evaluate the relationship between palaeoclimate evolution and organic-matter enrichment. The AstroGeoFit results indicate that the top of the lower Wenchang Formation in Well E1 is constrained to 44.563 Ma, and that the studied succession spans 50.249–44.563 Ma. Palynological coexistence analysis identifies three palaeoclimate phases within this interval. Method evaluation shows that the temperature reconstruction based on major-element geochemistry agrees well with the pollen-based temperature record, whereas one precipitation reconstruction based on weathering proxies shows the most robust agreement and stability relative to the pollen-based precipitation record. Reconstructed mean annual temperature ranges from 10.77 to 22.20 °C, and reconstructed mean annual precipitation ranges from 1188.27 to 1871.89 mm. Correlation analyses on the tuned timescale show that precipitation is more strongly associated than temperature with organic-matter accumulation parameters, including total organic carbon and organic carbon accumulation rate, indicating that organic carbon burial in the eastern Yangjiang Sag lake basin was mainly controlled by hydrological forcing. During the Early Eocene Climatic Optimum, carbon burial in low-latitude lakes was, therefore, not a simple response to elevated temperature, but instead reflected the integrated effects of precipitation, runoff, stratification, material supply, transport, and preservation. The evolutionary sequence further suggests that early high productivity was diluted by rapid sedimentation, reducing total organic carbon; subsequent cooling, lake deepening, and strengthened stratification enhanced organic matter preservation; and finally, tectonic subsidence together with regional humidification promoted the development and long-term preservation of high-quality lacustrine source rocks.

Characterization, expression and evolution analysis of NLRC3 , NLRC5 and NLRX1 in Mastacembelus armatus under Aeromonas veronii infection - Shengyue Lin; Kaifeng Wang; Weijian Chen; Ziyan Deng; Guojun Cai; Min Zhang; Zihang Xie; Weibin Li; Chong Han; Qiang Li (Journal of Fish Biology, 2026)
NOD‐like receptors (NLRs) serve as crucial innate immune sensors in multicellular organisms, recognizing diverse pathogen‐associated components and regulating immune responses such as nuclear factor kappa B (NF‐κB) signalling and inflammatory pathways. To elucidate the roles of NLRC3 , NLRC5 and NLRX1 in the innate immunity of the Mastacembelus armatus , this study first characterized these genes and examined their response to Aeromonas veronii infection. We identified the three NLR genes from the M. armatus transcriptome and analysed their evolutionary relationships through domain architecture and maximum likelihood (ML) phylogenetic reconstruction. All three NLR proteins contained conserved NACHT and leucine‐rich repeat (LRR) domains, and ML phylogenetic analysis grouped M. armatus with other Synbranchiformes and Perciformes, consistent with established taxonomy. Tissue expression profiling in healthy fish revealed constitutive expression of all three genes across nine examined tissues, with significantly higher levels in gills, suggesting their involvement in frontline mucosal immunity. Temporal expression analysis in spleen, liver and kidney following A. veronii challenge showed distinct organ‐specific patterns: although all three genes were downregulated in the liver, they were significantly upregulated in spleen and kidney, indicating these as primary sites for NLR‐mediated immune responses in M. armatus . Selection pressure analysis using CodeML identified widespread purifying selection across teleost NLRs, alongside multiple positively selected sites in NLRC5 (7 sites in site model, 5 in branch‐site model) and NLRX1 (2 sites in site model, 22 in branch‐site model). These findings provide fundamental insights into NLR‐mediated immunity in M. armatus and contribute to understanding the evolution and function of NLR genes in teleosts.

Prediction of Sound Speed Profiles Under Disturbance of Strong Internal Solitary Waves Using Bidirectional Long Short-Term Memory Network - Hong Yin; Ke Qu; Han Wang; Guangming Li (Journal of Marine Science and Engineering, 2026)
Time-series machine learning models represented by long short-term memory (LSTM) networks provide an effective way to obtain high-precision sound speed profiles (SSPs) quickly and at low cost, which can meet the practical application requirements of underwater sonar systems. However, in sea areas with frequent strong internal solitary waves, the large-amplitude sound speed anomalies caused by them will seriously interfere with model learning in the form of strong outlier features, resulting in a sharp drop in SSP prediction accuracy and significant degradation of the generalization stability and robustness of the model. To address this problem, this paper proposes a time-series SSP prediction method based on a bidirectional long short-term memory (Bi-LSTM) network. First, Empirical Orthogonal Function (EOF) decomposition is used to realize the low-dimensional feature representation of SSPs, and then the bidirectional time-series feature capture capability of Bi-LSTM is used to predict the SSP sequence with large disturbances caused by strong internal solitary waves. Multiple groups of comparative experiments based on the measured temperature chain data in the continental slope area of the South China Sea show that the Bi-LSTM model has a significant improvement in prediction accuracy and robustness compared with the classical LSTM model. Among them, the Bi-LSTM model with EOF decomposition achieves a correlation coefficient of 0.995 and an average Root Mean Square Error (RMSE) as low as 0.387 m/s. Under the condition of internal solitary wave disturbance, the classical LSTM is difficult to effectively capture the large abrupt change in sound speed, while the proposed Bi-LSTM model can still achieve accurate prediction of the SSP in the disturbance section, and has both the feature recognition and evolution prediction capabilities for the strongly nonlinear internal solitary wave process. This method provides effective technical support for the rapid and large-scale reconstruction of the sound speed field under the disturbance of strong internal solitary waves.

Inorganic Arsenic Attenuates Crystalline Silica-Induced Pulmonary Inflammation and Fibrosis by Ameliorating Autophagolysosomal Dysfunction in Alveolar Macrophages - Yi Luo; Wei Su; Yong Luo; Yanting Han; Shuwen Gong; Fuhai Shen; Yulan Jin; Yi Guan; Xinyuan Zhao; Jinlong Li (Biological Trace Element Research, 2026)

Quantitative Assessment of Third Molar Extraction Difficulty and Nerve Injury Risk Using Artificial Intelligence and Image Processing - Jihyeong Ko; Sasi Sooksatra; Seungmin Kim; Shaohua Tang; Jung-Eun Ha; Dong-Hun Han; Kyu Hwan Lee; Young-jin Jung; Min-Ji Kim (Annals of Biomedical Engineering, 2026)

Structural geochemical anomalies and prospecting prediction of the Qingshan Pb–Zn Deposit in Northwestern Guizhou Province, China - Yaoyang Wu; Yan Zhang; Runsheng Han; Lei Wang; Cen Shen; Mingzhi Wang (Acta Geochimica, 2026)

Tissue- and time-dependent modulation of JAK/STAT pathway genes in Tenebrio molitor during Listeria monocytogenes infection - Shahidul Ahmed Khan; Ki Beom Park; Yeon Soo Han (World Journal of Microbiology and Biotechnology, 2026)

Cytokine-mediated, organ-specific immune modulation and dysregulation of innate lymphocytes in sepsis - Seoyeon Han; Sejong Bae; Seungwon Ryu (Seminars in Immunopathology, 2026)

Restoration of gamma center frequency via personalized entrainment marks cognitive preservation in early Alzheimer’s disease - Yeseung Park; Hyeonwook Chae; Euisuk Yoon; Yejung Kim; Ji Won Han; Se Joon Woo; Seunghyup Yoo; Ki Woong Kim (GeroScience, 2026)
Gamma entrainment shows promise for Alzheimer’s disease (AD) treatment in preclinical models, but human trials have yielded heterogeneous results. We hypothesized that the clinical efficacy of gamma entrainment depends on individual neurophysiological receptivity, specifically the capacity for neural circuit plasticity. In this open-label pilot study, we screened 37 individuals and enrolled 16 participants with early AD (CDR 0.5–1.0, amyloid-positive) who completed 12 weeks of home-based flickering light stimulation at individually optimized gamma frequencies (32–40 Hz). Pre- and post-intervention assessments included 64-channel EEG recordings and MMSE. Participants demonstrated dichotomous neurophysiological responses: 43.8% showed center frequency (CF) increase (increased CF [ICF+]) while 56.3% showed no change/decrease (non-increased CF [ICF−]). CF restoration was significantly associated with cognitive preservation ( r = 0.52, p = 0.039). Notably, future responders exhibited distinct baseline signatures of “neural reserve,” characterized by higher temporal gamma power (Cohen’s d = 0.70–0.92) and stronger frontotemporal connectivity (Cohen’s d = 1.11–1.47). Almost 30% of screened candidates failed to show baseline entrainment, highlighting a distinct “non-responsive” biological subtype. CF restoration following personalized gamma entrainment identifies a neurophysiological subtype capable of meaningful plasticity. Rather than a universal remedy, gamma entrainment appears to act on specific neural substrates preserved in a subset of patients. These findings suggest that baseline electrophysiological profiling could unlock gamma entrainment’s therapeutic potential by stratifying likely responders for precision neuromodulation.

A simple and effective approach for the isolation and identification of germline stem cells in mature large yellow croaker (Larimichthys crocea) - Li Zhou; Feiyan Li; Zhaohan Sun; Jia Chen; Liyue Liu; Qi Wei; Kunhuang Han (Frontiers in Marine Science, 2026)
Spermatogonial stem cells (SSCs) and oogonial stem cells (OSCs) are important germline stem cells located in the gonads, responsible for maintaining fertility throughout the reproductive lifespan. However, at present, there is still a lack of optimized protocols specifically for the isolation and identification of SSCs and OSCs in large yellow croaker ( Larimichthys crocea ), a marine economic fish. Therefore, this study aimed to explore a simple, inexpensive, efficient, and practical method for isolating and identifying germline stem cells in this species. SSCs were enriched using a three-layer discontinuous Percoll density gradient (15%, 25%, and 50%), while OSCs were obtained by sequential filtration through 300, 200, and 40 μm nylon mesh membranes following enzymatic digestion. Quantitative real-time PCR (qRT-PCR) and in situ hybridization (ISH) were employed to evaluate the expression patterns of candidate stem cell markers in the isolated cell fractions and gonadal tissues. The results demonstrated that oct4 served as a specific marker for undifferentiated type A spermatogonia (Aund), ly75 was preferentially expressed in differentiated type A spermatogonia (Adiff) and type B spermatogonia (SpgB), and nanos2 functioned as a broader spermatogonial marker. Notably, klf4 was identified as a novel and specific marker for fish oogonia, alongside nanos2 and vasa , expanding the molecular toolkit for OSCs research. The meiotic marker sycp3 further assisted in distinguishing OSCs from differentiated oogonia. The current research contributes to cell culture, cryopreservation, and transplantation in L. crocea and provides a reference for the isolation and identification of germline stem cells from other mature economic fish species.

A Novel ESIPT-Based Probe for Sensitive Detection and Bioimaging of Hypochlorous Acid - Xinyue Zhang; Mingxuan Zhao; Junhong Zhang; Wen Jiang; Xiaowei Liu; Yuxuan Lv; Xiaozhi Zhang; Yanzu Zhao; Rui Han; Haixian Ren (Journal of Fluorescence, 2026)

A Study on the Response of Monopile Foundations for Offshore Wind Turbines Using Numerical Analysis Methods - Zhijun Wang; Di Liu; Shujie Zhao; Nielei Huang; Bo Han; Xiangyu Kong (Journal of Marine Science and Engineering, 2026)
The prediction of dynamic responses of offshore wind turbine foundations under wind-wave-current multi-field coupled loads is the cornerstone of safety in offshore wind power engineering. The currently widely adopted equivalent load application method, while computationally efficient, simplifies loads into concentrated forces applied at the pile top and tower top, neglecting fluid-structure dynamic interaction mechanisms, which leads to deviations in response predictions. To overcome this limitation, this paper proposes a high-precision bidirectional fluid-structure interaction numerical framework. The fluid domain employs computational fluid dynamics (CFD) to construct an air-seawater two-phase flow model, utilizing the standard k-ε turbulence model and nonlinear wave theory to accurately simulate complex marine environments. The solid domain establishes a wind turbine-stratified seabed system via the finite element method (FEM), describing soil-rock mechanical properties based on the Mohr-Coulomb constitutive model. Comparative studies indicate that the equivalent static method significantly underestimates the displacement response of pile foundations, particularly under the extreme shutdown conditions examined in this study. This value should be interpreted as a case-specific observation rather than a universal deviation, and the discrepancy may vary with sea state, wind speed, current velocity, and wind–wave misalignment, thereby leading to non-conservative estimates of stress distribution. In contrast, the fluid-structure interaction method can reveal key physical processes such as local flow acceleration and wake–interference effects around the tower and the parked rotor under shutdown conditions, and the nonlinear interaction and resistance-increasing mechanisms between waves and currents. This model provides a reliable tool for safety assessment and damage evolution analysis of wind turbine foundations under extreme marine conditions, promoting the transformation of offshore wind power structure design from empirical formulas to mechanism-driven approaches.

Machine Learning Approaches for Probabilistic Prediction of Coastal Freak Waves - Dong-Jiing Doong; Wei-Cheng Chen; Fan-Ju Lin; Chi Pan; Cheng-Han Tsai (Journal of Marine Science and Engineering, 2026)
Coastal freak waves (CFWs) are sudden and hazardous wave events that occur near shorelines and can pose serious threats to coastal visitors and infrastructure. Due to the complex interactions among coastal bathymetry, wave dynamics, and environmental conditions, the mechanisms governing CFW formation remain poorly understood, making reliable prediction difficult. This study investigates the feasibility of applying machine learning techniques to predict CFW occurrences using observational environmental data. Three machine learning algorithms, the Random Forest (RF), Support Vector Machine (SVM), and Artificial Neural Network (ANN), were developed to generate probability-based predictions of CFW events. Environmental variables derived from buoy observations, including wave characteristics, wind conditions, swell parameters, wave grouping indicators, and nonlinear wave interaction indices, were used as model inputs. Hyperparameters were optimized using grid search combined with k-fold cross-validation. The results show that all three models achieved comparable predictive performance, with AUC values close to 0.80 and overall prediction accuracy around 74%. The ANN model achieved the highest recall, indicating strong capability in detecting CFW events, while the RF and SVM models showed more balanced precision and recall. Analysis of high-probability prediction events suggests that CFW occurrences are associated with swell-dominated conditions, strong wave grouping behavior, and enhanced nonlinear wave interactions. These results demonstrate that machine learning provides a promising framework for probabilistic prediction of coastal freak waves and has potential applications in coastal hazard assessment and early warning systems.

Three-dimensional modelling and inversion of reinforcing bars and cracks in concrete models using ERT - Shi-jie Gao; Han-dong Tan; Huan Ma; Jian-ping Wu; Xiao Liu (Applied Geophysics, 2026)

Quantifying Uncertainty in Rock Mass Drillability: A Probabilistic Framework with Embedded Parameter Dependence - Guangkun Li; Yiguo Xue; Yi Han; Xiying Cheng; Youquan Liu; Zhiwen Tong (Rock Mechanics and Rock Engineering, 2026)

Tensile Stress Wave Propagation Across Non-persistent Rock Joints and Comparison with Compressive Stress Wave: An Experimental Study - Jianbo Zhu; Yong Wei; Dongya Han (Rock Mechanics and Rock Engineering, 2026)

Linking Dissolved Oxygen Fluctuations to Acoustic Activity in the Litopenaeus vannamei Under Operational Pond Conditions - Bangchen Yang; Han Huang; Ke Qu (Journal of Marine Science and Engineering, 2026)
Dissolved oxygen (DO) is a primary environmental regulator of shrimp physiology and behavior in intensive aquaculture systems. Whether shrimp acoustic emissions quantitatively reflect oxygen-driven behavioral modulation under operational pond conditions, however, remains uncertain due to the difficulty of isolating biologically relevant signals from complex soundscapes. In this study, passive acoustic monitoring was conducted in commercial outdoor ponds culturing Litopenaeus vannamei. A periodic-coding non-negative matrix factorization approach was applied to separate putative shrimp-associated acoustic components from broadband background noise and to obtain stable time–frequency representations of acoustic activity. Temporal variations in the extracted acoustic intensity were compared with simultaneously measured DO concentrations. Rather than relying on global correlation, phase-specific analyses revealed that the putative shrimp-associated acoustic component exhibited consistent positive associations with DO dynamics during both rising and declining phases, whereas background noise showed only weak and non-coherent relationships with DO. These results indicate that the observed acoustic–oxygen relationship is non-stationary and context-dependent. Given the observational nature of the study and potential confounding influences (e.g., aeration and other environmental factors), these findings, which are based on observations from a single pond over a limited recording period (62.85 h) under specific operational conditions, should be interpreted with caution and regarded as a proof-of-concept rather than evidence of general applicability. Nevertheless, the results are consistent with the hypothesis that population-level acoustic activity may reflect environmentally modulated behavioral responses. This highlights the potential of soundscape-based approaches as non-invasive tools for supporting aquaculture monitoring, while emphasizing the need for further validation under controlled and multi-site conditions.

A 13-week repeated oral toxicity study of Mycoleptodonoides aitchisonii (Agaricomycetes) in Sprague–Dawley rats - In-Hyeon Kim; Sung-Hwan Kim; Joung-Wook Seo; Young-Ju Lee; Han Na Suh; Jong-Choon Kim (Toxicological Research, 2026)

Deep Mineral Prospectivity Prediction via Integration of Spatiotemporal Dynamics Simulations with Long Short-Term Memory Networks: A Case Study of the Tongshan Deposit, China - Feihu Zhou; Han Zheng; Chenxi Bi; Liangming Liu (Mathematical Geosciences, 2026)

Simulation-Based Evaluation of a Single-Line Laser Framework for AUV Wall-Following and Mapping - Yu-Cheng Chou; Jia-Han Huang (Journal of Marine Science and Engineering, 2026)
This study presents a simulation-based evaluation of a wall-following and mapping framework for autonomous underwater vehicles (AUVs) equipped with a single-line laser, targeting structured environments such as rectangular tanks and dam interiors. A hardware-in-the-loop (HIL) simulation platform is developed to integrate sensor emulation, vehicle dynamics, and image-based control while preserving the onboard data formats, update rates, and communication protocols of the AUV system. Using a single camera–laser pair, the framework estimates yaw angle and lateral wall distance from laser image geometry to support real-time wall-following and frontal obstacle avoidance. Wall mapping is performed by transforming laser image features into spatial coordinates and estimating the dimensions of geometric protrusions. The framework is evaluated on simulated walls with protruding features under two navigation conditions: ideal-motion and dynamic-control operation. Simulation results show stable wall-following performance, with lateral distance errors typically below 0.1 m. Under ideal-motion conditions, mapping errors range from 1% to 13%, while under dynamic-control navigation they increase to 10–35% due to attitude fluctuations and control-induced motion. Frontal obstacle avoidance maintains a minimum clearance of 1.04 m. The results demonstrate the feasibility of using a single-line laser and a unified image stream for both real-time wall-following control and post-mission geometric mapping within the defined simulation conditions. While the evaluation is limited to simulation and assumes idealized optical conditions without modeling hydrodynamic disturbances or optical degradation effects, the framework provides a system-level reference for laser-guided inspection strategies in confined underwater environments such as tanks, reservoirs, and dams.

A modified suction caisson penetrating in clay simulated by large deformation method - Zihao Zhao; Jing-chun Han; Jim Shiau; Li-jun Ke; Da-yong Li (Marine Georesources & Geotechnology, 2026)

A Moon image point spread function deconvolution framework for satellite Earth observation image restoration - Han Lin; Ya Su; Binglong Chen; Qunyong Wu; Zhiqing Zhang (International Journal of Remote Sensing, 2026)

Research on forest and grassland fire detection algorithm based on Himawari-8 geostationary satellite - Shan Zhang; Yong Xue; Xiaolu Ling; Chunlei Wu; Liying Han; Zhenglong Li (International Journal of Remote Sensing, 2026)

Geothermal resource identification in Australia using shallow groundwater temperature data - Y. Han; L. T. White; W. G. P. Kumari; T. Murray (Australian Journal of Earth Sciences, 2026)

Distribution and enrichment of potassium and lithium in Qaidam Basin brine, China - Kai Wang; Mianping Zheng; Lichun Ma; Jiahuan Han; Yakun Wang (Journal of Oceanology and Limnology, 2026)

Discrete element method–based mechanistic investigation of rice straw disturbance and throwing by a gathering device - Yanan Xu; Han Tang; Changyu Wang; Qi Wang; Guixuan Zhu; Jinwu Wang (Computers and Electronics in Agriculture, 2026)

What’s next in agri-vision: A review of Vision Transformers and Vision Mamba in crop management - Kangrui Han; Weiyun Hua; Long He (Computers and Electronics in Agriculture, 2026)

Towards an AI-based knowledge assistant for goat farmers based on retrieval-augmented generation - Nana Han; Dong Liu; Tomas Norton (Computers and Electronics in Agriculture, 2026)

Light spectra and photoperiods interactively influence growth, development, and reproductive traits of Ostrinia furnacalis (Lepidoptera: Crambidae) - Yuhua Dong; Sohail Abbas; Aleena Alam; Bilal Ahmad; Muneer Abbas; Khalid Ali Khan; Hamed A. Ghramh; Gong Xuesong; Jamin Ali; Xiao Han; Li Qiyun; Ri-Zhao Chen (Crop Protection, 2026)

Colletotrichum aenigma causes anthracnose disease of Ficus carica L. in China - Yu-kun Qi; Wen-zhang Liu; Feng-ying Han; Wen-cheng Zhu; Shi-jun Sun; Qing-hai Wang; Ling-xi Zhou (Crop Protection, 2026)

Implications of aquaculture-derived organic matter enrichment for sustainable mariculture density management in coastal waters - Le Han; Rongjun Shi; Qingzhi Zhu; Tingting Han; Honghui Huang; Zhanhui Qi (Marine Pollution Bulletin, 2026)

Multi-omics reveal the prevalence of Thaumarchaeota and their biogeochemical roles in coastal low oxygen zones - Yu Han; Airui Wang; Zhijie Zhang; Le Liu; Quanrui Chen; Wei Fan; Ehui Tan; Kai Tang (Marine Pollution Bulletin, 2026)

Pollution and health risks of antibiotics in marine food webs from the South China Sea - Yunjie Wei; Shaolong Zhang; Xiaomin Wu; Qingshi Chen; Jinhui Wang; Shuzhen Han; Yan-Er Cai; Yuwen Wang; Wenhua Liu; Zhen Wang (Marine Pollution Bulletin, 2026)

Machine learning classification of PAH exposure in the Antarctic limpet Nacella concinna - Han Huang; Yi Liu; Tianlei Feng; Feng Wang (Marine Pollution Bulletin, 2026)

Atmospheric deposition as a pathway for microplastic transport to the marine environment: Temporal variation and environmental factors - Youna Cho; Andrew Loh; Won Joon Shim; Gi Myung Han; Sung Yong Ha; Sang Hee Hong (Marine Pollution Bulletin, 2026)

Metabolomics reveals GABA as a key mediator of salinity stress in razor clam - Geqi Gao; Zihan Lin; Yuting Han; Mengwei Shang; Jiahui Sun; Donghong Niu; Jiale Li (Aquaculture, 2026)

Folic acid supplementation modulates hormone dynamics, biochemistry, gene expression, and folate concentrations in hormonally induced Japanese eel (Anguilla japonica) Broodstock: Insights from mucus as a non-invasive sampling matrix - Justice Frimpong Amankwah; Jingwei Liu; Mekonen Hailu; Kanghong Jiang; Bin Xie; Xiangbiao Zeng; Huan Han; Junming Zhang; Yanhe Liu; Tianwei Jiang; Zhenzhu Wei; Nawal Asif; et al. (Aquaculture, 2026)

Dietary sterol sources modulate growth, lipid metabolism, and the initiation of ovarian development in precocious female Redclaw crayfish (Cherax quadricarinatus) - Xinyu Li; Zongzheng Jiang; Zhiwei Chen; Chang Yang; Fenglu Han; Chang Xu; Erchao Li (Aquaculture, 2026)

Mariana trench-derived fungal polysaccharide AVP214–1 inhibits Singapore grouper iridovirus infection in vitro and in vivo - Xinyu Liao; Gaoqi Yu; Xiaohui Zheng; Yanqi Zhao; Siting Wu; Weifu Mo; Yijie Lin; Xiaoyong Zhang; Zhuang Han; Qiwei Qin; Jingguang Wei (Aquaculture, 2026)

Coordinating metabolic reprogramming and exosome secretion: A dual role for SIRT1/HIF-1α under hypoxia in golden pompano - Yue Chen; Shan Ying Han; Ze Xin Zhong; Chun Xiu Jin; Geng Hui Fang; Li Xiao Zhou; Fei Biao Song; Jian Luo; Jun Long Sun (Aquaculture, 2026)

Quercetin protects against 17α-methyltestosterone induced hepatocardiac toxicity: Roles of lipid metabolism, oxidative stress, and inflammation - Lu Cao; Yibo Jia; Gen Chen; Chang Hu; Qinyi Wang; Yiqun Han; Huiman Zhang; Shangyun Li; Tongyao Li; Haiyan Zhao; Zijun Xiong; Jing Song; et al. (Aquaculture, 2026)

Retention rate and biological effects of Floy and FRyID tags on juvenile longfin smelt (Spirinchus thaleichthys) - Md. Moshiur Rahman; Szu-Han Chen; Nann A. Fangue; Levi S. Lewis; Tien-Chieh Hung (Fisheries Research, 2026)

Unveiling the adaptive evolution of halotolerant aceticlastic methanogenesis: Multi-scale responses and energy partition - Huiyuan Guo; Qing Liu; Hexing Han; Weichao Xu; Wansheng Shi; Mingxing Zhao; Xin Xiao; Jianwei Liu; Tinggang Li (Water Research, 2026)

Resilient sulfur-driven treatment of real acid mine drainage enabled by reorganization of core sulfidogenic microorganisms - Juntao Xia; Junjie Han; Liang Hong; Yan-Ying Qiu; Yuguang Xie; Hui Xu; Liang Zhang; Feng Jiang (Water Research, 2026)

Impact of human activities on groundwater biogeochemical cycles and microbial communities: Insights from metagenomic analysis - Zhengxing Chen; Xiufeng Tang; Yirui Su; Tao Liu; Uli Klümper; Feng Ju; Min Liu; Ping Han (Water Research, 2026)

Microplastics promote N2O emissions by enhancing nitrification via ammonia-oxidizing bacteria in estuarine and coastal sediments - Xiufeng Tang; Yingyu Bao; Jun Li; Bolin Liu; Yixuan Huang; Lijun Hou; Patrick K.H. Lee; Ping Han (Water Research, 2026)

From nutrients to signaling molecules: DOP metabolism drives aerobic methane production under phosphorus limitation - Li Chen; Songjie Han; Wenqiang Zhang; Baoqing Shan (Water Research, 2026)

La-mediated green rust for synergistic nitrogen–phosphorus removal and targeted N2 formation regulated by built-in electric field and spin state - Yibo Zhang; Jun Nan; Chen Liang; Zhencheng Ge; Han Deng; Yanhan Che; Yunhao Pan; Meng Li; Bohan Liu (Water Research, 2026)

Design and verification of a microbial consortium with an anchoring-interface enhancement strategy for efficient PAHs degradation in groundwater - Wang Kai Tong; Jiajun Hu; Chaomeng Dai; Jia Jie Zou; Han Tang; Piao Yi Jiang; Min-tian Gao; Jixiang Li; Xihua Wang; Yalei Zhang; Ken-Lin Chang; Kah Hon Leong; et al. (Water Research, 2026)

Anthropogenic gadolinium anomalies and reservoir-driven removal of dissolved rare earth elements in the world's largest hydropower project - Di Wang; Guilin Han; Yuchun Wang; Shunrong Ma (Water Research, 2026)

Multi-media distribution, source apportionment, and risk assessment of legacy and current-use organophosphorus pesticides in typical agricultural watersheds of China - Chengcheng Bu; Limin Ma; Weiwei Zhang; Yu Hua; Haoyu Zeng; Yuchen Han; Ruolan Jia; Qihui Zhao; Qi Wang; Yuefei Ruan; Chong Chen (Water Research, 2026)

Waste upcycling into High-Value MOFs: A Path toward direct Urban mining and sustainable resources recovery - Bo Han; Jean-Christophe P. Gabriel (Waste Management, 2026)

Development of geopolymer with red mud, fly ash, calcium carbide slag, and phosphogypsum as a step toward low-carbon building materials - Han Sun; Xiaowei Xie; Mingxing Xie; Hefu Pu (Waste Management, 2026)

Porcine USP18 inhibits Japanese encephalitis virus replication by regulating the type I interferon signaling pathway - Haixin Shi; Xiangchen Li; Xiaolong Zhou; Han Wang; Weiyun Qin; Hangfeng Jin; Ayong Zhao; Songbai Yang (Veterinary Microbiology, 2026)

Activating FcγRI inhibits RIG-I-mediated host antiviral innate immunity by FGR during PRRSV-ADE infection - Peng-li Xu; Yi-han Li; Fa-hao Li; Shi-jie Zhao; Wen Li; Jing Chen; Ping-an Xia; Yi-na Zhang (Veterinary Microbiology, 2026)

Synergistic anticoccidial effects of pomegranate peel extract and probiotics against Eimeria tenella via mitigating inflammation and restoring gut microbiota - Weimei Wang; Xiaobin Yi; Yu Han; Ping Feng; Ruonan Bo; Mingjiang Liu; Jingui Li (Veterinary Parasitology, 2026)

Prediction of HRR in tunnel fires under different tunnel inclinations and ambient pressure conditions based on recurrent neural networks - Wei Liu; Tiannan Li; Haoran Li; Han Wu; Lei Deng; Congling Shi (Tunnelling and Underground Space Technology, 2026)

Prediction of mud cake formation on shield cutterheads based on multi-source monitoring data integrated with deep learning method - Wengang Zhang; Han Han; Weixin Sun; Zhihao Wu; Yang Yang; Yumiao Yan (Tunnelling and Underground Space Technology, 2026)

City-scale subsurface utilities mapping by multi-channel ground penetrating radar (MCGPR) with mobile mapping system (MMS) - Wallace Wai-Lok Lai; Phoebe Tin-Wai Wong; Rene Lee-Yee Kwan; Yaxin Li; Yimin Zhou; Wenchao He; Yao Han; Wu Chen (Tunnelling and Underground Space Technology, 2026)

Analytical solutions for three-dimensional heat transfer induced by tunnel lining heat exchangers in energy tunnels - Tao Han; Yang Zhou; Hao Liu; Penghui Gao (Tunnelling and Underground Space Technology, 2026)

Advances in high-performance alginate hydrogels: properties, performance enhancement strategies, and their applications in the food industry - Jiabo Wang; Yuanpu Liu; Chuanwu Han; Zhihui Liu; Yumeng Yue; Zhiyuan Yu; Meng Ma; Qingjie Sun; Fengwei Xie; Man Li (Trends in Food Science & Technology, 2026)

AI-driven precision protease engineering for the food industry - Rina Wu; Jinyu Zhou; Wang Han; Junrui Wu; Zhishen Mu (Trends in Food Science & Technology, 2026)

Ginseng as an immune-enhancing food ingredient and its hydroponic cultivation development - Chang Hyung Lee; Jiyun Lee; Jung Han Yoon Park; Ki Won Lee (Trends in Food Science & Technology, 2026)

Quantifying environmental impacts of cold chain interruptions using coupled CFD and LCA - Teng Meng; Yue Huang; Anthony Whiteing; Yinpu Wang; Qidong Han (Transportation Research Part D: Transport and Environment, 2026)

Hydro-thermo-mechanical evolution of foundation pits during horizontal freezing and thawing: From in situ tests to prediction methods - Tianxiao Tang; Ke Wang; Guoguang Zhang; Yupeng Shen; Xin Liu; Yue Liu; Yunxi Han (Transportation Geotechnics, 2026)

Who is willing to switch to a less-crowded metro route via feeder bus connections? A case study in Chengdu, China - Hongxia Yuan; Zhongquan Qiu; Han Xu; Renbin Pan; Yusong Yan (Travel Behaviour and Society, 2026)

Purification and Characterization of Two Neurotoxins BmKNT1 and BmKNT2 from the Scorpion Buthus martensii karsch venom - Yusuf Ali; Shamsiddin Fazliddinov; Ailin Hu; Naziermu Dongmulati; Han He; Zi Yang; Yanhua Gao; Ahmidin Wali; Haji Akber Aisa; Sharafitdin Mirzaakhmedov; Akmal Asrorov; Abulimiti Yili (Toxicon, 2026)

Smad7 drives cisplatin resistance in ovarian cancer via a PRMT5-dependent mechanism - Jinlong Ji; Kexin Wang; Geshuyi Chen; Manman Zhao; Cong Wan; Yun Han; Yanli Zheng (Tissue and Cell, 2026)

Integrated strategies from stem cells to exosomes for amelioration of insulin resistance and promoting β-cell regeneration in diabesity - Himadri Singh; Rakesh Bhaskar; Shampa Ghosh; Pradeep Kumar Mishra; Krishna Kumar Singh; Jitendra Kumar Sinha; Sung Soo Han (Tissue and Cell, 2026)

Protective effects of a 1:1 mixture of 7,17-dihydroxy-DHA and 10,17-dihydroxy-DHA (SF) against blue light-induced retinal damages in A2E-laden ARPE-19 Cells - Seung-Yub Song; Sung-Ho Lee; Jin-Woo Park; Han-Kyu Lim; Jeong-Woo Seo; Dae-Hun Park; Seung-Sik Cho (Tissue and Cell, 2026)

A practical workflow for fixation and autofluorescence reduction in correlative light and electron microscopy of postmortem human brain tissue - Ha-Eon Lee; Hong Lim Kim; Ara Cho; Do-Gyun Kim; Min-Jin Park; Yuna Oh; Yong Soo Park; Rafael T. Han; Mun‑Yong Lee; Tae-Ryong Riew (Tissue and Cell, 2026)

The protective effect and mechanism of phycocyanin on diabetic retinopathy in rats - Hongli Huang; Linhong Wang; Fuju Shi; Jinshen Liu; Han Li; Jiehui Zuo (Tissue and Cell, 2026)

Granzyme B knockdown inhibits NLRP3-mediated pyroptosis and the JAK2/STAT3 signaling in renal fibrosis - Minhui Wang; Daojun Chen; Daofa Zhang; Hui Han; Maowei Xie; Ying Zhang; Yun Cao; Jiali Wei (Tissue and Cell, 2026)

Nano-delivery system of milk-derived exosomes loaded with Forsythiaside A: Studies on bovine mammary epithelial cells and mastitis induced mice - Xiaoqing Yang; Yangyang Pan; Meng Wang; Xin Ma; Xiaohong Han; Tianhao Li; Shanshan Yang; Jianying Chang; Hanxun Liu; Sijiu Yu; Yan Cui (Theriogenology, 2026)

Discrete artificial bee colony algorithm based on multiple neighborhood swaps for the hybrid flowshop scheduling problem with uncertain processing stages - Yang Yu; Xinbo Song; Zixiang Li; Liangliang Sun; Yuyan Han; Xinfu Pang; Zhujun Wang; Natalja M. Matsveichuk; Yuri N. Sotskov (Swarm and Evolutionary Computation, 2026)

Yearly-scale deep crustal fluid transfer implied by gravity changes from in-situ observations around the 2021 Yangbi M6.4 earthquake, China - Linhai Wang; Shi Chen; Jiancang Zhuang; Yue Liu; Lulu Jia; Jiancheng Han; Bei Zhang; Yongbo Li (Tectonophysics, 2026)

Eocene topography differentiation between the western and eastern North China Craton: Insights from multi-method chronometry in the northern Taihangshan Mountains - Li-Xia Feng; Ping-Ping Li; Zeng-Zhen Wang; Rong Ren; Lin Wu; Bo Zheng; Bo Liu; Jian-Qing Ji; Bao-Fu Han (Tectonophysics, 2026)

Direct displacement- and probabilistic residual displacement-based design method for RC double-column bridges with additional self-centering energy dissipation dampers - Zhile Yang; Huihui Dong; Xiuli Du; Qiang Han (Soil Dynamics and Earthquake Engineering, 2026)

Facile enrichment of a carbonate-mineralizing microbial consortium for carbonate precipitation and stabilization of rare earth waste residue - Wanqi Zhang; Tan Wang; Tingting Zhang; Junyan Yang; Jianhong Han; Huijuan Li; Weida Wang (Sustainable Chemistry and Pharmacy, 2026)

Green ammonia synthesis coupled with cellulose valorization over oxygen vacancy-enriched MoO3-x photocatalysts - Zi-Yi Wang; Yun-Hui Hu; Bin-Yu Gao; Xu Han; Jia-Hao Wang; Yong-Jun Yuan (Sustainable Chemistry and Pharmacy, 2026)

Sustainable grouting materials derived entirely from solid wastes: An integrated analysis of performance, micro-mechanisms, and environmental benefits - Huairui Luo; Fenglei Han; Zonghan Liu; Ainiwaera Fuerhaiti; Shuo Wang; Ke Xu (Sustainable Chemistry and Pharmacy, 2026)

Does soil inoculation truly steer the composition of native soil communities? - Yuhui Li; Yingbin Li; Xu Han; Qi Li; T. Martijn Bezemer (Soil Biology and Biochemistry, 2026)

Air-drying of soil preserves microbial and faunal eDNA abundance and diversity regardless of land-use type or management intensity - Xingguo Han; Jessica Cuartero; Verena Koppe; Seraina Nohl; Astrid Sneyders; Karen Vancampenhout; Beat Frey; Aline Frossard (Soil Biology and Biochemistry, 2026)

Editor's Note to “Wastewater inputs reduce the CO2 uptake by coastal oceans” [Sci. Total Environ., 901 (2023), 165700] - Yunxiao Li; Liang Xue; Xufeng Yang; Ming Xue; Ping Han; Xiangyu Liu; Han Zang; Pengjin Yang; Wei-Jun Cai; Longjun Zhang (Science of The Total Environment, 2026)

Corrigendum to “maternal smoking during pregnancy could accelerate biological aging in the adulthood: Evidence from a perspective study in UK biobank.” [Sci. Total Environ., 951(2014) 175150] - Wenbo Jiang; Xinyi Sun; Conghui Qiao; Xinyu Shan; Yiwei Tang; Yingdong Zuo; Xinyang Wang; Tianshu Han; Wei Wei (Science of The Total Environment, 2026)

Germ layer specification and organotropism in lymphoma invasion - Yan Dong; Peng-Peng Xu; Xiao Han; Yu-Qing Wang; Yi Chen; Ying Fang; Yue Zhu; Qing Shi; Rong Shen; Zi-Yang Shi; Niu Qiao; Shu Cheng; et al. (Science Bulletin, 2026)

Stereogenic P(V) platform construction via streamlined installation - Jing-Ming Zhang; Shi-Feng Tao; Xing-Kai Zhao; Han Yang; Gong Xu; Zhi-Tao He (Science Bulletin, 2026)

Strongly spatial-confined self-assembled monolayers for high-performance perovskite photovoltaics - Dongyang Li; Qiming Yin; Zhiwei Ren; Guihua Zhang; Jie Li; Qianyi Li; Yu Han; Sibo Li; Lihan Pang; Hao Xia; Guang Yang; Longbin Qiu; et al. (Science Bulletin, 2026)

Dynamic hydrogen buffer integrated with single Pt sites for enhanced durability of high-temperature proton exchange membrane fuel cells - Yabin Xu; Jing Tian; Li Wang; Jiuli Xia; Yandong Wu; Qie Liu; Jingjing Wang; Shiqian Du; Tingting Han; Miaoyu Li; Zuyao Jiang; Yaping Gu; et al. (Science Bulletin, 2026)

Realization of elastic Weyl semimetal phases with skyrmion spin textures - Yuang Pan; Liang Si; Miao Yang; Ning Han; Li Zhang; Qiaolu Chen; Rui Zhao; Fujia Chen; Yudong Ren; Wenhao Li; Yuze Hu; Mingyu Tong; et al. (Science Bulletin, 2026)

Young adulthood adiposity in relation to all-cause and cause-specific mortality: a prospective study of 0.5 million Chinese adults - Lei Fan; Andri Iona; Shixian Feng; Gang Zhou; Huarong Sun; Pang Yao; Canqing Yu; Yiping Chen; Dianjianyi Sun; Pei Pei; Ling Yang; Mingshu Yan; et al. (Science Bulletin, 2026)

Recovery of critical metals from circular resources via matte smelting: Process fundamentals and techno-economic boundaries - Joon Sung Choi; Min Seok Seo; Jin Gyun Park; Kwang Sun Woo; ByungWon Kim; Gil Soo Han (Resources, Conservation and Recycling, 2026)

Life-cycle quantification and metabolic model analysis of macroplastic leakage to the environment in China - Ruiqi Zhang; Zhibin Yin; Guiying Liu; Han Liu; Yaohui Liu; Ming Zhu; Jianbo Guo; Qinzhong Feng; Liyuan Liu; Yang Chen (Resources, Conservation and Recycling, 2026)

Characterizing China’s post-overbuilding era: cement industry prospects from 2025 to 2100 - Han Tu; Shoujuan Tang; Guangxin Liu; Yang Li; Mingming Hu; Arnold Tukker; Yuping Yan; Lei Shi (Resources, Conservation and Recycling, 2026)

Effects of suspended sediment on the survival and settlement of Crassostrea ariakensis and Crassostrea sikamea larvae: Results from lab experiments - Nan-nan Li; Yu Han; Yuan-ge Chen; Wei-liang Dong; Long-ling Ouyang; Rui-liang Fan; Wei Jiang; Jia-feng Fang; Nian Wei; Jin-ming Wang; Wei-min Quan; Jian Zeng (Regional Studies in Marine Science, 2026)

Sea level rise and land use change impacts on coastal vulnerability in Sandakan under IPCC AR6 scenarios - Zi Ming Ng; Yuk Feng Huang; Ming Han Lim; Hayana Dullah; Ahmed El-Shafie; Ali Najah Ahmed (Remote Sensing Applications: Society and Environment, 2026)

Improved U-Net with enhanced spatiotemporal features for Chlorophyll-A concentration prediction in the Zhoushan fishery - Yanling Han; Yizhuo Cai; Ping Ma; Ge Song; Jing Wang; Yun Zhang; Shuhu Yang; Zhonghua Hong (Remote Sensing Applications: Society and Environment, 2026)

Li-ion battery thermal runaway with discharge: Trade-off between thermal and state of charge (SOC) effects - Han Yu; Peng Zhao (Process Safety and Environmental Protection, 2026)

Machine learning-assisted inverse design of pyrolyzed biochar and process optimization for enhanced denitrification: A stacking ensemble-based framework - Jingang Huang; Ruilin Wang; Weishuai Li; Yang Yang; Hai Wang; Wei Han; Huanxuan Li; Jie Liu; Shanshan Qiu; Xiaobin Xu; Pingzhi Hou (Process Safety and Environmental Protection, 2026)

Experimental study of straight tube length and pressure effects on spontaneous ignition and flame transition in high-pressure hydrogen releases - Cuiwei Liu; Weili Ou; Rui Ding; Songming Yu; Hui Han; Hongfang Lu; Minghao Li; Yuxing Li (Process Safety and Environmental Protection, 2026)

Multiscale study on the hazard evolution and risk of coal spontaneous combustion under hydrothermal action in deep mining - Yu Han; Baoshan Jia; Jinzhang Jia; Yingxin Zhang; Kaixin Ma (Process Safety and Environmental Protection, 2026)

Transformer-based fire-type recognition with suppression strategy mapping for intelligent fire response - Jianyuan Tao; Ping Wang; Hanfeng Jiang; Yu Han (Process Safety and Environmental Protection, 2026)

Integrated metabolomic and transcriptomic analyses unravel the function of quercetin in enhancing grape resistance to anthracnose - Meng-Fei Li; Ming-Yi Wang; Fu-Lai Han; Zhe Zhang; Ya-Lin Liu; Meng-Ran Li; Yu-Fei Li; Jie Yang; Xin Liu; Guang-Chao Liu (Postharvest Biology and Technology, 2026)