Microbial and abiotic oxidation of phosphite (P(III)) in aquatic environments: pathways, controls, and ecosystem implications - Ye Zheng; Chen Wang; Dongqing Zhang; Xiaojun Niu; Ling Li; Mo Wang; Zhihong Zhang; Yang Yu; Yuhao Zhang; Cuiting Su; Jianeng Chen; Xingyao Ye (Reviews in Environmental Science and Bio/Technology, 2026)

Strontium and cesium accumulation in soil-rice system: Influencing factors and predictive modeling - Hong-Ling Chen; Bao-Min Yao; Zi-Yang Pan; Dong-Li Sun; Guang Yang; Tian-Ran Sun; Guo-Xin Sun (Soil Ecology Letters, 2026)

Influence of ecological factors on the accumulation of active substances in Camellia nitidissima - Xiao-Xia Zhao; Meng-Xue Su; Shuang-Shuang Li; Hui Gao; Guo-Yue Yan; Shu-Rui Wang; Yan-Yuan Bai; Yang-Jiao Xie (Plant Biosystems, 2026)

Microstructure analysis contributes to selection of stem cell-rich explants and identification of embryogenic callus in oil palm tissue culture - Jing Yang; Dongxia Li; Peng Shi; Zhiying Li; Dapeng Zhang; Yin Min Htwe; Qun Yu; Xiangman He; Yong Wang (Plant Biotechnology Reports, 2026)

Topographically corrected land surface temperatures reveal a 2005 regime shift and prolonged thawing in the Yellow River Source Region (1981–2020) - Hongying Li; Yingying Cui; Shengzhen Wang; Yang Yang; Chaorong Chen; Qiang Zhou; Fenggui Liu (Journal of Mountain Science, 2026)
The source area of the Yellow River (SAYR) is a critically important cryospheric region highly sensitive to climate warming. However, capturing fine-scale thawing–freezing dynamics remains challenging due to the region’s rugged topography and sparse observational networks. In this study, we developed a 1-km, 40-year (1981–2020) dataset of surface temperatures and thawing–freezing indices by applying month-specific topographic corrections to ERA5-Land reanalysis data. Validation against independent station observations yielded a root mean square error (RMSE) of 1.49°C, and uncertainty assessments demonstrate that the monthly-derived indices capture interannual trends with high consistency ( R 2 > 0.97). Over the past four decades, regional freezing indices have significantly decreased, while thawing indices have increased, resulting in an extension of the average thawing duration by 1.17 days per decade. Furthermore, a regime shift detected in 2005 prolonged the annual thawing duration by 14.8 days, extending the unfrozen soil period and potentially enhancing moisture infiltration into the subsurface. Spatially, this thawing intensification is most pronounced in the southeastern valleys, whereas changes in the thermal regime over the northwestern and central highlands indicate intensified ground warming, which is likely associated with permafrost degradation and active-layer deepening. Overall, this high-resolution dataset offers an improved representation of surface thermal processes compared to traditional air-temperature-based proxies, providing valuable support for climate adaptation and infrastructure planning in this critical headwater region.

Application and Assessment of a Complex, Stratified Sediment Geoacoustic Model for Far-Field Sound Propagation - Chunmei Yang; Zongwei Liu; Guanbao Li; Ying Jiang; Guangbing Yang; Liangang Lv (Journal of Ocean University of China, 2026)

Imbalanced Si:N Alters Lipid Production and Photosynthesis in the Marine Diatom Phaeodactylum tricornutum and Dinoflagellate Prorocentrum donghaiense - Jiaxuan Cui; Chuanli Zhang; Rong Bi; Yunyun Zhuang; Xiaoqian Pan; Xiao Qin; Zhong Cao; Hailong Zhang; Li Li; Yang Ding; Meixun Zhao (Journal of Ocean University of China, 2026)

Performance of ALDFG Retrieval Apparatus in Tank Simulation Experiment - Bo Zhang; Liming Song; Haiwei Yang; Yuwei Li (Journal of Ocean University of China, 2026)

Piericidin F, a Novel Marine-Derived Piericidin Derivative, Degrades High-Risk HPV Oncoproteins E6/E7 by ROS-Dependent Ubiquitin Proteasome System and Induces Apoptosis in HeLa Cells - Weiyi Zhang; Yifan Chen; Yimin Chang; Xiaoning Han; Yufeng Yang; Qianqun Gu; Dehai Li; Ming Liu (Journal of Ocean University of China, 2026)

Clinical and behavioral predictors of HIV-associated neurocognitive disorder among people with HIV who use substances: a secondary analysis of the HOPE trial - Gloria Wang; Xueying Yang; Kesheng Wang; Xiaoming Li; Zheng Dai; Shan Qiao (Journal of NeuroVirology, 2026)
This study examined behavioral, clinical, and hematologic factors associated with HIV-associated neurocognitive disorder (HAND) among people with HIV (PWH) using the International HIV Dementia Scale (IHDS) within a randomized clinical trial. This secondary analysis used data from the Hospital Visit as Opportunity for Prevention and Engagement for HIV-Infected Drug Users (HOPE) study, which enrolled 801 PWH who use substances from 11 U.S. hospitals. CD4 cell count, HIV-1 viral load, Global Severity Index (GSI), Global Assessment of Functioning (GAF), and Physical and Mental Component Scores (PCS, MCS) were assessed at baseline, 6 months, and 12 months. HAND was defined as an IHDS score ≤ 10. Multivariable linear and logistic regression models were used to identify baseline correlates of IHDS score and HAND, respectively. Linear mixed models were applied to evaluate the longitudinal changes in clinical outcomes. HAND prevalence was 76.3% (84.2% for females and 72.5% for males). Multivariable linear models revealed that obesity, CD4 cell counts < 200 cells/ µL, higher hemoglobin level and hematocrit, and higher GAF scores were significantly associated with IHDS score (p < 0.05). Furthermore, logistic models showed that recent alcohol use, obesity, viral suppression (≤ 200 copies/mL), hemoglobin and hematocrit levels, and GAF scores were associated with lower odds of HAND, whereas platelet count was linked to higher odds. Longitudinal analyses demonstrated significant increases in hemoglobin, hematocrit, PCS, and MCS over time, alongside decreases in platelet count and GSI. Compared with participants without HAND, those with HAND consistently exhibited lower hemoglobin, hematocrit, GAF, and GSI scores, and higher platelet counts and MCS scores across follow-up. These findings underscore the complex interplay between hematologic and mental health, substance use, and functional status in shaping neurocognitive outcomes among PWH. Targeting modifiable hematologic, behavioral, and psychosocial factors may help reduce HAND risk and improve long-term cognitive and functional outcomes. ClinicalTrials.gov ID: NCT01612169.

Mechanism of miR-140-3p reducing anesthesia induced neurotoxicity by downregulating BACE1 expression - Guangping Yang; Li Liu; Zhenbin Zhan; Hai Chen; Jinguang Chen; Shilin Hu; Kangping Yang (Journal of NeuroVirology, 2026)

Threshold discharges governing erosion–deposition transition of point bars: A case study of the Sanyiqiao point bar, Yangtze River - Lingtao Jin; Li Chen; Wei Zhang; Yu Gao; Kanghe Zhang; Chenggang Yang (Journal of Geographical Sciences, 2026)

Hydrogeochemical Characteristics and Potential Risks within a Headwater Catchment, Taihu Lake Basin, China - Lin Liu; Hai Yang; Xun Zhou; Yuehua Jiang; Naizheng Xu; Jiangshi Gong; Zi Chen; Liang Li; Jinsong Lü; Yang Jin (Journal of Earth Science, 2026)

A Novel Model for Estimating the Water Resistance Coefficient Based on Laboratory Investigations - Chaoyi Li; Yang Wang; Yunxuan Xie; Shuai Cao (Journal of Earth Science, 2026)

Ejecta from Chaffee S Crater in Chang’E-6 Landing Site Constrained by Seifertite-Bearing Norite - Zhan Zhou; Sen Hu; Yubing Gao; Linxi Li; Huicun He; Liang Gao; Mengfan Qiu; Lixin Gu; Xu Tang; Xiaoguang Li; Wei Yang; Yangting Lin; et al. (Journal of Earth Science, 2026)

Groundwater Potential mapping under data constraints: the critical roles of sample size and feature dimensionality - Zitao Wang; Jiansen Li; Yang Liu; Jinjun Han (Frontiers of Earth Science, 2026)

Coupled uptake dynamics of dissolved inorganic nitrogen and soluble reactive phosphorus in a moderately nutrient-polluted stream - Ruzhong Li; Yang Fu; Yuqing Wang; Chao Liu (Frontiers of Earth Science, 2026)

Spatio-temporal Changes of Subsistence Strategy from Zhou to Han Dynasty in the Loess Plateau of China - Yongxiang Xu; Wenyu Wei; Tianli Song; Xin Wang; Gang Li; Xin Li; Yishi Yang (Chinese Geographical Science, 2026)

Comparison of Turbulent Transport Dissimilarity and the Role of Coherent Structures in the Unstable Surface Layer Between Urban and Rural Areas - Qiyue Sun; Lu Zhang; Jiesheng Xue; Linlin Wang; Yubin Li; Yuanjian Yang (Boundary-Layer Meteorology, 2026)

Research on the mechanism of Eucalyptus tannins inhibiting soil respiration - Xinya Li; Miaoling Wang; Gairen Yang; Zhifeng Xie; Shiqi Wei; Lisha Li; Yusong Deng; Huili Wang (Applied Soil Ecology, 2026)

Distinct dose-response patterns between methane production and oxidation to urea or (NH4)2SO4 input in Chinese paddy fields - Wang-ting Yang; Bing-jie Ren; Si-le Wen; Yi-zhu Zhu; Jiang-bing Xu; Li-dong Shen; Wei-qi Wang; Jordi Sardans; Josep Peñuelas (Applied Soil Ecology, 2026)

Upward growth or demolition? patterns of three-dimensional urban form change across Chinese cities between 2015 and 2024 - Ying Liang; Yang Ju; Wenfeng Zhan; Xuecao Li (Applied Geography, 2026)

Satellite-observed land surface temperature changes associated with wind farm construction in Northeastern China - Yinglu Liu; Feinan Lyu; Zheng Wang; Yan Li; Yang Wang; Ziqi Gao; Shuangcheng Li (Applied Geography, 2026)

Experimental study of cross-flow in a 7 wire-wrapped rod bundle by PIV - Ruiyang Zhong; Wenhai Qu; Jun Yang; Li Zhan (Annals of Nuclear Energy, 2026)

Sealing behavior of bolted flange system with double metallic C-rings during prolonged high-temperature operation - Yijun Chai; Yunzhou Wu; Wenhao Yu; Qin Ma; Xiongwei Yang; Yueming Li (Annals of Nuclear Energy, 2026)

Performance of multiple-type reference electrode oxygen sensors in LBE - Ruixian Liang; Hui Li; Huiping Zhu; Hao Wu; Haicai Lyu; Zulong Hao; Yang Liu; Fang Liu; Fenglei Niu (Annals of Nuclear Energy, 2026)

Research and application of intelligent loading pattern search for pressurized water reactors - Peng Sitao; Wei Jinfeng; Yao Jianfan; Yang Shuoyan; Li Wenhuai; Yang Zhengyu; Huang Jie; Mei Gaohui; Huang Yunten; Zhao Changyoug; Yu Chao; Wang Ting; et al. (Annals of Nuclear Energy, 2026)

Numerical investigation of spacer grid-induced flow disturbances and impact on fuel rod flow-induced vibrations - Yilong Li; Yan Guo; Junyong Liu; Hongyu Yang; Guangyun Min; Naibin Jiang (Annals of Nuclear Energy, 2026)

Numerical study on the thermo-hydraulic behaviors of the Directionally-Alternated wire-wrapped fuel assembly in lead-cooled fast reactors based on SSTSAS k-ω-k-ε four-equation model - Yunxiang Li; Runsheng Yang; Yuefeng Guo; Xingkang Su; Yuping Zhou; Jian Hong; Yuxing Liu; Zinan Huang; Xin Su; Youpeng Zhang; WenJun Hu; Long Gu (Annals of Nuclear Energy, 2026)

Tunable structure and properties of organo-hectorite for controllable pickering emulsions and organogels - Yang Xin; Hui Wang; Jinhua Li; Jing Wang; Xiaodong Yan (Applied Clay Science, 2026)

Utilization of kaolinite-containing bauxite tailings in limestone calcined clay cement: Hydration, microstructure, and foundational insights for future performance optimization - Zhijun Li; Xiaowei Gu; Bohan Yang; Yannian Zhang; Jianping Liu; Moncef L. Nehdi; Lei Zhang (Applied Clay Science, 2026)

Novel use of waste calcined clay brick powder in sustainable ultra-high ductility strain-hardening geopolymer composites: Micro-characteristics and mechanical behavior - Zhiming Ma; Yuanhui Wu; Shifeng Li; Dingyi Yang; Changqing Wang (Applied Clay Science, 2026)

Enhanced heatwaves exacerbate survival risks for vulnerable populations - Yan Dou; Jialei Zhu; Xi Zhao; Lehui Cui; Hao Liu; Yixin Huang; Li Yang (Anthropocene, 2026)

Benzalkonium chlorides compromise oocyte maturation and developmental competence by disrupting mitochondrial function and the SIRT3-SOD2 antioxidant axis - Khienduc Lay; Dandan Zhang; Hui Wang; Mengchan Li; Yongteng Zhang; Qimei Xu; Bo Jia; ThiHien Nguyen; Chunhuan Ren; Xiaoyan Zhou; Heng Tang; Yinghui Ling; et al. (Animal Reproduction Science, 2026)

GAN-FixMatch: A generative–semi-supervised deep learning framework for small-sample quantitative analysis in near-infrared spectroscopy of agricultural and pharmaceutical materials - Peng Li; Chenglong Qiu; Jinlong Duan; Yao Qin; Mingxing Li; Dandan Zhai; Xile Cheng; Yu Yang (Analytica Chimica Acta, 2026)

Development and validation of a Mn/MOF-808 based colorimetric platform for rapid and reliable on-site monitoring of iodide in marine environments - Yi-Ting Chen; Xiao-Jun Dai; Xi- Qing Xu; Pei Liu; Wen-Ge Zhang; Wen-Rui Zhang; Shu-Xuan Li; Peng Wang; Chun-Hui Gong; Yi Yang (Analytica Chimica Acta, 2026)

CbAgo-enriched Cas12a biosensor for cancer mutations screening - Xiwen Zhai; Biyao Yang; Fei Deng; Sneha Gulati; Flyn Mckinnirey; Xuan Wu; Yi Li; Ewa M. Goldys (Analytica Chimica Acta, 2026)

Machine learning-assisted Zr-MOFFe@SECHA fluorescence and colorimetric dual-mode intelligent platform for sensitive LPS detection - Pengying Liang; Wenhong Zhou; Jun Li; Yinglin Guo; Jundou Tu; Kexin Yang; Xuanyue Ma; Pengchong Li; Linhu Ye (Analytica Chimica Acta, 2026)

Unraveling the thermal release dynamics and pyrolysis signatures of agarwood by gas-liquid microextraction and gas chromatography-mass spectrometry - Yanqiao Xie; Jinhua Zhao; Shengqi Huang; Chen Shen; Yi Zhou; Ge Yin; Hechen Wang; Linnan Li; Donghao Li; Zhengtao Wang; Li Yang (Analytica Chimica Acta, 2026)

CM-TRAP: A chemoproteomic workflow for profiling circulating metabolites and their protein targets in Alzheimer's disease - Xinmiao Wang; Xiangyu He; Xiaoyu Pu; Xingchao Yang; Yi Li; Hanqing Zhang; Haiping Hao; Chang Shao; Hui Ye (Analytica Chimica Acta, 2026)

Heteroatom-doped MXene quantum dots: red emission tuning and dual-functional performance - Fanyong Yan; Ruixue Bai; Yating Li; Shanshan Li; Jinyun Xu; Juanru Huang; Yu Wang; Yang Fu (Analytica Chimica Acta, 2026)

Redox homeostasis regulation during the formation of archeospores in Neopyropia yezoensis - Li-Fei Yang; An-Ran Shen; Da-Hai Gao (Algal Research, 2026)

Synergistic engineering of a MYB transcription factor boosts fucoxanthin and biomass co-production in the diatom Phaeodactylum tricornutum - Ting-Bin Hao; Mei-Qi Li; Rongxiang Guo; Wei-Dong Yang; Hong-Ye Li; Xiang Wang (Algal Research, 2026)

Interference of algal C-phycocyanin in type 2 diabetes: Mechanisms involving MAPK pathway activation and GLUT4 translocation - Hongxiang Zhao; Meicong Xiao; Yunmei Yin; Zhen Zhang; Yunyun Yang; Ran Chen; Kun Li; Pei Wang; Shiqi Zhou; Rongqing Zhang (Algal Research, 2026)

A powdery biohybrid nano‑silver sensor based on phycoerythrin and carbon nanotubes for visual detection of Hg2+ in aquatic products - Chuanxu Liu; Xiangyu Lan; Changzhuo Zheng; Qinghao Ge; Xiaolong Han; Yang Pu; Wenjun Li (Algal Research, 2026)

Legacy effect of biochar and straw amendments on the subsequent cotton-rapeseed straw return: Insights from seedcotton yield, nutrient utilization and arbuscular mycorrhizal fungi - Qiang Li; Li’an Wang; Ying Zhang; Luyao Liu; Xin Wang; Wei Hu; Haishui Yang; Yali Meng; Zhiguo Zhou (Agriculture, Ecosystems & Environment, 2026)

The pathways, mechanisms and influencing factors of cover crops in regulating soil organic carbon - Mengmeng Zhao; Fanfan Yang; Wangrun Li; Ziting Li; Zixuan Guo; Xiong Chen; Gaosen Zhang; Wei Zhang; Tuo Chen (Agriculture, Ecosystems & Environment, 2026)

Integrated design of climate-resilient cotton cultivars and sowing strategies in arid Xinjiang using a crop model - Hongqin Wang; Silang Wu; Lei Li; Jiaxue Li; Yanmin Yang; Xianglin Wu; Yong He (Agricultural Systems, 2026)

Mitigating CO2 and N2O emissions in salt-affected agroecosystems through fertilization and irrigation optimization: A meta-analysis - Djifa Fidele Kpalari; Yang Gao; Abdoul Kader Mounkaila Hamani; Yuanyuan Fu; Jean Mianikpo Sogbedji; Timothy S. George; Sen Li; Shoutian Ma (Agricultural Systems, 2026)

Enhancing winter wheat yield estimation by synergizing UAV remote sensing and a hybrid PROSAIL–AquaCrop data assimilation framework - Yang Xu; Xiaobo Gu; Jingya Liu; Ximeng Li; Gengmin Jiang; Zhikai Cheng; Haowei Yin; Tongtong Zhao; Yadan Du; Shikun Sun; Huanjie Cai (Agricultural and Forest Meteorology, 2026)

Revisiting turbulent transport dissimilarities and coherent structure transitions: An observation study from subtropical paddy fields - Lu Zhang; Jiesheng Xue; Yunqian Liao; Xinfeng Ling; Weiwei Ding; Yubin Li; Yuanjian Yang (Agricultural and Forest Meteorology, 2026)

Research on scientific and technological applications of spaceborne GNSS for China’s Space Station - Yifan Duan; Xinyuan Mao; Xuzhi Li; Leizheng Shu; Xiaoyu Chen; Yong Zhang; Bingxian Luo; Tingling Ren; Jun Sun; Shushi Liu; Wenbin Wang; Yang Gao (Advances in Space Research, 2026)

Global sea surface wind speed retrieval using FengYun-3F multi-GNSS reflections - Zheng Li; Fei Guo; Xiaohong Zhang; Wentao Yang; Yifan Zhu; Zhiyu Zhang; Peng Chen; Hang Liu; Xiaoyan Song (Advances in Space Research, 2026)

ExpertCast: a framework for short-term rainfall forecasting integrating knowledge-enhanced learning and neural networks - Haojie Li; Qingzhi Zhao; Yibin Yao; Hong Liang; Zhaoliang Zeng; Hongwu Guo; Anbang Wu; Ming Liu; Jinchao Bai; Yuxing Zhao; Yongjie Ma; Jing Yang; et al. (Advances in Space Research, 2026)

Transformer-based fire detection using moderate resolution imaging spectroradiometer - Jin Sha; Xiuqing Hu; Bin Yang; Xu Huang; Shuang Li (Advances in Space Research, 2026)

Consensus control for relative configuration maintenance of large-scale LEO constellations - Xiaoyu Zuo; Ke Li; Ziyuan Yang; Lin Chen (Advances in Space Research, 2026)

The aging eye: navigating molecular mechanisms and innovative interventions - Yumeng Lin; Zhongyu Han; Yunfeng Zhang; Ruimin Yuan; Mingyu Huang; Yating Liu; Jun Wang; Chen Xu; Luze Liu; Ping Yu; Qingsong Yang; Liuzhi Zeng; et al. (Biogerontology, 2026)

Salidroside ameliorates skin aging in male mice by promoting collagen regeneration via modulation of FOS and MMP9 - Zheng Wang; Xiaoyue Yan; Xiaofeng Li; Hongzheng Zhu; Yuan Wang; Xiaofeng Fan; Xinyu Lu; Xiaoman Li; Miao Yang; Chi Zhang; Yuanyuan Wu (Biogerontology, 2026)

Exploration Biomarkers for Recurrence of Hepatocellular Carcinoma After Liver Transplantation Based on Bioinformatics Analysis - Guangyi Zhu; Shijian Li; Ziyang Luo; Ning Wen; Haibin Li; Yang Fu; Weixuan Li; Jihua Wu; Xuyong Sun (Biochemical Genetics, 2026)

CircRNA_0001412 and CircRNA_0001566 as Potential Biomarkers for the Diagnosis of Rheumatoid Arthritis - Xin Li; Ao Deng; Zehao Wang; Shenling Liao; Kaihong Luo; Jing Hu; Bin Yang (Biochemical Genetics, 2026)

Transcriptome Analysis Elucidates the Essential Pathways and Candidate Genes Involved in Chloroplast Development Between True Leaves and Cotyledon in Trichosanthes kirilowii Maxim - Zhuanzhuan Jiang; Wanru Zhang; Ke Li; Xin Huang; Xiaojuan Li; Shao Yang (Biochemical Genetics, 2026)

KDM3A Modulates Trastuzumab Resistance in HER2− Positive Breast Cancer Cells via the PI3K/AKT/ERK Pathway - Yuanxing Han; Jiayi Guo; Ting Yang; Xuewen Liu; Honghuo Yan; Yuanzhang Li; Juan Yao (Biochemical Genetics, 2026)

Fish counting method based on MAFA-YOLO v11n for pond aquaculture - Lu Zhang; Hao Yang; Shunshun Zhou; Wenhui Ni; Bin Li (Aquaculture International, 2026)

Post-earthquake road accessibility assessment in mountainous counties incorporating geological hazard density correction: A case study of Pingshan County, Hebei Province - Qiu-na Guo; He Zhang; Hong-yu Wang; Fan Yang; Jiang Li; Si-yu Liu (Applied Geophysics, 2026)

Nighttime Atmospheric Pressure Measurement at 80–110 km Altitude over Xi’an by GBAVTII - Cun-Xia Li; Yang-He Liu; Yan Fang; Ning-Ju Hui; Yan-Long Wang; Yi-Shan Zhang; Di-Di Fu; Yuan-He Tang (Applied Geophysics, 2026)

Metabolic inflexibility across heart failure phenotypes: mechanisms and type-specific therapeutic implications - Li Chen; Xin-Rui Yang; Yan Jiang; Shi-Qi Cheng; Zhen-Xun Wan; Jin-Wen Wu; Ming-Tai Chen; Yuan-Yuan Li; Gang Luo; Meng-Nan Liu (Apoptosis, 2026)

Deciphering potential significances of biliary microbiome in cholelithiasis and cholangiocarcinoma - Guangchao Liu; Kangxu Chen; Jiali Li; Kaifeng Zhang; Guanglin Niu; Yu Ding; Yunzhi Lv; Qiwen Tian; Zhenxi Cao; Haiqiang Wang; Junru Jia; Guosen Zhang; et al. (Antonie van Leeuwenhoek, 2026)

Real-world dynamic air pollution-meteorology exposures during pregnancy and risk of small for gestational age: Implications from synoptic type and trajectory analyses in a temperate monsoon megacity - Sijing Zhu; Yin Yang; Liu Fang; Xiaoxue Li; Ziyi Chen; Mengfei Sun; Jinlu Liang; Lu Zong; Yijia Chen; Baoyu Xu; Jiayuan Feng; Hui Niu; et al. (Air Quality, Atmosphere & Health, 2026)

Seasonal Prediction of Ozone Pollution in Central-East China Using Machine Learning - Sheng Yang; Xin Hao; Nan Li; Hong Liao; Jiandong Li (Aerosol Science and Engineering, 2026)

STIM2 suppressed Anti-tumor immunity in cholangiocarcinoma - Li-Ping Ying; Zong-Yang Wu; Jin-Bo Wang; Ji-Ye Feng; Kai Lu (Advances in Traditional Medicine, 2026)

Contrasting Atmospheric Drivers of Greenland’s Warm-Wet and Warm-Dry Extreme Events - Jingyi Li; Xiaoming Hu; Xinlu Chen; Yuhui Han; Ming Cai; Song Yang; Yana Li; Xiaoman Zhang; Lianlian Xu (Advances in Atmospheric Sciences, 2026)

Sketching a Probability Theory of Transition to Turbulence - Zijing Ding; Dazhi Yang; Jin-Han Xie; Hui Li (Advances in Atmospheric Sciences, 2026)

Hemispheric Asymmetry of Land–Ocean Distribution Causes Asynchronous Global Atmospheric Energy Response to Solar Forcing - Yuhui Han; Ming Cai; Zhenning Li; Song Yang; Xiaoming Hu (Advances in Atmospheric Sciences, 2026)

The “Last-mile Efforts” of Subseasonal Prediction and Services for Climate Resilience and Sustainability: Review and Outlook - Jing Yang; Mengqian Lu; Anling Liu; Tat Fan Cheng; Yuxian Pan; Miaoni Gao; Lun Dai; Shentong Li; Wen Deng; Xinyao Feng; Shiyu Zhang; Lu Tang; et al. (Advances in Atmospheric Sciences, 2026)
Subseasonal predictions from 2 weeks to 2 months have made significant advancements over the past decade, driven by progress in physical understanding, climate modeling, computational capabilities, and artificial intelligence (AI). These predictions are increasingly in demand due to their potential to provide stakeholders with adequate lead time for effective disaster adaptation, mitigation, and resource management. However, there remain critical gaps in the engagement between prediction providers and service users. Providers often lack insight into the specific needs of users and do not have transferrable strategies to build trust through tailored evaluations and clear confidence levels, which often results in repeatedly devising approaches for each provider–user interaction. Further, users frequently struggle to interpret predictions and are hesitant to make decisions based on these uncertain outcomes. This paper attempts to make “last-mile efforts” by reviewing relevant literature, operational systems, and the most informative communications and engagement strategies with key sectors. It proposes a preliminary framework to standardize the approach for provider–user interaction in the context of subseasonal prediction and services, with potential applicability and extension to seamless prediction systems in the future. Lastly, we underscore future directions for subseasonal predictions, emphasizing the integration of dynamic climate modeling and AI-driven enhancements with large ensemble techniques to improve both reliability and confidence. This review is part of the United Nations Educational Scientific and Cultural Organization (UNESCO) International Decade of Sciences for Sustainable Development (2024–33) and contributes to the Seamless Prediction and Services for Sustainable Natural and Built Environment (SEPRESS) Program (2025–32), an initiative endorsed under this global framework.

Atmospheric Boundary Layer Eco-Environment Shanghuang Observatory: An Integrated Multiscale Research Platform in Southeastern China for Understanding Boundary Layer Processes, Atmospheric Chemistry Feedback, and Extreme Weather–Climate Linkages - Zifa Wang; Xiaole Pan; Yele Sun; Jinyuan Xin; Hang Su; Junji Cao; Jie Li; Ting Yang; Hang Liu; Weijie Yao; Weiqi Xu; Xueshun Chen; et al. (Advances in Atmospheric Sciences, 2026)

Late Carboniferous volcanic rocks in the North Tianshan Orogenic Belt, NW China: petrogenesis and tectonic implications - Jianye Zhang; Yongjun Li; Wei Li; Qian Wang; Panlong Wang; Hao Fu; Gaoxue Yang (Acta Geochimica, 2026)

Impacts of jetty construction on hydrodynamics, seabed morphology and marine ecology: a case study of Tongzhou Bay, Nantong, China - Yongqing Li; Runjie Miao; Liyang Wang; Hongyuan Shi; Zaijin You; Jiahui Yang (Frontiers in Marine Science, 2026)
Coastal port engineering is a crucial strategic measure for promoting regional economic development and optimizing the national marish logistics system, yet the disturbances of large-scale coastal development to the nearshore hydrodynamic environment, seabed topography and coastal ecosystems cannot be ignored. Taking the jetty project in the Third Harbor Basin of Tongzhou Bay Port Area, Nantong Port as the research object, this study systematically explored the coupled impacts of the jetty project on hydrodynamics, beach-trough erosion and deposition, and marine ecology in the adjacent sea areas by combining in-situ measurements and the Delft3D-FM numerical simulation. The model was calibrated and validated with the measured data of tidal level, tidal current, suspended sediment and ecology from 2019 to 2024. We simulated and analyzed the flow velocity response and beach-trough erosion-deposition evolution under three conditions (no jetty, Jetty 1, Jetty 2), and evaluated the project’s ecological disturbance on aquaculture areas and benthic habitats. The results show that the jetty project significantly reshaped the erosion and deposition pattern of the adjacent sea areas by changing tidal current convergence and flow direction, showing a spatial feature of strong near-field response and weak far-field impact. Jetty 1 had an influence range of about 2 km, with a maximum cumulative scouring of 0.88 m at its corner in two years. Jetty 2 extended the influence range to 5 km, with a maximum cumulative scouring of 2.21 m at its top in two years, and its disturbance to hydrodynamics and erosion-deposition was significantly greater than that of Jetty 1. Severe erosion-deposition and flow velocity changes caused by the project were mainly concentrated in non-aquaculture areas, so the overall impact on aquaculture areas was controllable; only Jetty 2 caused slight additional scouring at the edge of the northern aquaculture area, leading to minor disturbance to local benthic habitats. The research results provide a scientific basis for the layout optimization of port engineering, the prevention and control of coastal engineering impacts, and marine ecological protection in the Tongzhou Bay Port Area.

Seasonal restructuring of nitrite cycling driven by stratification‐mixing transitions in China's largest estuary - Yangjun Chen; Xianhui S. Wan; Xingzhou Zhang; Peipei Dai; Yuanyuan Yang; Xinwei Li; Minfang Zheng; Min Chen (Limnology and Oceanography, 2026)
Nitrite serves as a key intermediate in the nitrogen cycle, with its microbial‐driven cycling regulated by various environmental factors. However, how nitrite cycling responds to changing environmental conditions remains unclear. Here, we address this question by integrating natural abundance stable isotope techniques with geochemical modeling in China's largest estuary—the Changjiang (Yangtze River) estuary—and its adjacent coastal waters, a dynamic hotspot shaped by strong anthropogenic and natural forces. From summer to autumn, shifts in water column structure—from stratification and hypoxia to mixing and reoxygenation—significantly regulate nitrite dynamics. Nitrite sources exhibit unexpected consistency across seasons, despite oxygen fluctuations from hypoxia to reoxygenation. Conversely, nitrite sinks exhibit clear seasonality and vertical structuring that are closely associated with transitions between stratification and mixing. Active nitrite oxidation is confirmed in the coastal seasonal hypoxic zone, with no clear evidence supporting the occurrence of enzymatic nitrate/nitrite isotopic exchange reaction. These findings advance our understanding of how coastal nitrogen cycling responds to seasonal environmental variability and provide a transferable framework for improving predictions of biogeochemical feedbacks under intensifying stratification and deoxygenation in a changing climate.

Neighbourhood Diversity Effects on Tree Growth Shift Over Time in a Long‐Term Forest Biodiversity Experiment - Zhuo Yang; Bernhard Schmid; Chen Chen; Shan Li; Franca J. Bongers; Goddert von Oheimb; Helge Bruelheide; Lei Chen; Keping Ma; Xiaojuan Liu (Ecology Letters, 2026)
Tree species richness–productivity relationships (SPRs) at community level are generally positive but can weaken at individual levels due to increased competition. Using 12 years of growth data from a large forest biodiversity experiment, we examined effects of neighbourhood tree species richness, basal area, and niche differences on focal tree growth over time. As stands aged, the effect of greater neighbourhood basal area in more species‐rich neighbourhoods on focal tree growth shifted from positive to negative, but this negative effect was offset by increasingly positive effects arising from greater niche differentiation between focal trees and their neighbours. Focal trees with acquisitive traits showed stronger growth responses to neighbourhood competition and niche difference; while the responses to neighbourhood richness were more positive in dry than in wet years. Our findings suggest that larger niche differences can balance increased competition in more species‐rich forest stands, thus allowing these stands to maintain a greater total biomass than less diverse forest stands.

Functional homogenization of terrestrial mammals outside protected areas in the Hengduan Mountains, China - Xueyou Li; Wenqiang Hu; Kenneth Otieno Onditi; Quan Li; Zhechang Hu; Ru Bai; Yang Liu; Hongjiao Wang; Xuelong Jiang (Conservation Biology, 2026)
Despite the crucial role of human impacts on biodiversity loss, many assessments of this loss focus on single metrics, such as species richness, and overlook the multidimensional effects of human activities. Because of its importance to ecosystem functioning, we investigated the functional diversity of medium‐ and large‐sized mammal assemblages in protected and unprotected mountain forests in the Hengduan Mountains of southwest China. We hypothesized that anthropogenic pressures outside protected areas (PAs) favor generalist species and lead to functionally homogenized assemblages compared with assemblages inside PAs. Using generalized dissimilarity models, we also examined the key drivers shaping patterns of functional β diversity in these landscapes. Outside PAs, functional richness was markedly lower, trait space was significantly more homogeneous, and nestedness β diversity was more prevalent (57.6%) than inside PAs, clear indications of functional homogenization. Anthropogenic variables consistently outweighed environmental gradients and spatial distance in explaining variation in functional β diversity. Our results demonstrate that anthropogenic pressure affects trait composition in ways that species counts alone do not fully capture, emphasizing the importance of conservation strategies that protect both functional integrity and taxonomic diversity.

Effects of parachute science on local research capacity 降落伞科学对当地研究能力的影响 - Li Yang; Tao Chen; Colin A. Chapman; Paul A. Garber; Yu Xuan Fan; Tien Ming Lee; Michael Huffman; Juan Carlos Serio Silva; Carlos Peres; Onja H. Razafindratsima; Lwin Ngwe; Peng Fei Fan (Conservation Biology, 2026)
Strengthening research capacity is essential to address the global biodiversity crisis. Yet, parachute science often undermines this goal, and its prevalence, costs, and benefits are unclear. We analyzed 13,502 publications on primate research that we extracted from Scopus (1960–2022) to evaluate the effects of parachute science on local research capacity across primate‐range countries. We categorized these publications as local (LRP), collaborative (CRP), or parachute science (PSRP) research publications and categorized countries where the research took place as low‐ to middle‐income countries or high‐ to upper‐middle‐income countries. We used generalized linear mixed‐effects models to assess how parachute science influenced local research capacity. For 69% of PSRPs, the research was conducted in 59 low‐ to middle‐income countries. For 20% of LRPs, research was led by people from these 59 countries. The disparity in LRPs among country groups was large. Local research publications in high‐ to upper‐middle‐income countries were at least 3.6 times higher than those in low‐ to middle‐income countries. Before 2013, parachute science contributed to an increase in LRPs; this trend reversed after 2013, mainly resulting in a decline in LRPs across all countries and both income categories. Strengthening the capacity to share research in low‐ to middle‐income countries is urgent if international conservation commitments are to be met. We recommend establishing true collaborative and interdisciplinary research teams, expanding local research opportunities, and supporting long‐term research projects as key strategies for sustainable research capacity strengthening in low‐income countries.

Cover Image - Yinnan Mu; Weini Zhang; Pan Qin; Wenxing Li; Zhengwei Cui; Yang Ding; Jingqun Ao; Jiangtao Gao; Xinhua Chen (Reviews in Aquaculture, 2026)
The cover image is based on the article Elucidating the Immunological Basis of Large Yellow Croaker Larimichthys crocea Offers New Strategies for Its Disease Management by Yinnan Mu et al., https://doi.org/10.1111/raq.70164 . image

Elucidating the Immunological Basis of Large Yellow Croaker Larimichthys crocea Offers New Strategies for Its Disease Management - Yinnan Mu; Weini Zhang; Pan Qin; Wenxing Li; Zhengwei Cui; Yang Ding; Jingqun Ao; Jiangtao Gao; Xinhua Chen (Reviews in Aquaculture, 2026)
Large yellow croaker Larimichthys crocea is a major mariculture species in China, achieving an annual yield of 292,615 tons by 2024. Commercial production faces considerable challenges from disease outbreaks, necessitating comprehensive immune mechanism research. Through comprehensive genomic and transcriptomic investigations, scientists have identified distinguishing characteristics within the L. crocea immune system, encompassing robust innate defense mechanisms, marked by the expansion of pattern recognition receptor lineages, antimicrobial peptide gene families, and antiviral defense‐related genes, and well‐developed adaptive immune capabilities. The current review outlines the molecular foundations underlying immune responses in L. crocea , highlighting the cooperative interplay between innate and adaptive defense systems when confronting pathogenic threats and environmental fluctuations. It bridges basic scientific inquiry with practical aquaculture implementation, exploring disease control strategies. Available evidence indicates possibilities for strengthening disease resistance through precision immunomodulation and improved aquaculture methods. Priority research areas encompass elucidating host‐pathogen relationships and establishing practical disease prevention protocols for industrial‐scale operations.

The Roles of SOCS in Teleost Immunity: Cytokine Regulation and Host Defense - Ying Zhang; Li Yang; Xiuying Cui; Feng Gao; Yanjing Zhao; Xianghui Kong (Reviews in Aquaculture, 2026)
The Suppressor of Cytokine Signaling (SOCS) family comprises key regulatory molecules which are essential for maintaining immune homeostasis in vertebrates. Owing to a teleost‐specific whole‐genome duplication event, SOCS family members exhibit higher diversity and significant functional differentiation, forming a complex and precise immune regulatory network. This review comprehensively summarizes the current understanding of SOCS‐mediated cytokine regulation and host defense mechanisms in teleosts. SOCS proteins, particularly SOCS1 and SOCS3, exert dual regulatory effects in antiviral and antibacterial immunity as well as in inflammatory balance by negatively modulating key pathways such as JAK/STAT and NF‐κB, exemplifying their “double‐edged sword” role. Moreover, we provide the first comprehensive synthesis of environmental regulation of SOCS expression in teleosts, integrating emerging evidence on how to modulate SOCS levels after temperature stress, neuroendocrine activation via cortisol, hypoxia, and chemical pollutants and how to link environmental conditions to immune competence. This environmental perspective supplies direct implications for understanding stress‐induced immunosuppression in aquaculture. Finally, we discuss the potential application of targeting SOCS signaling in aquaculture practices, including applications in disease‐resistant breeding, vaccine development, and immunostimulant design. In‐depth understanding of SOCS diversity and function in fish will provide novel molecular insights and innovative strategies for precise disease control and sustainable aquaculture.

Roles of ACSL6 in lipid homeostasis and stress responses in the nervous system - Shaoyang Zhang; Fangyu Meng; Yuhang Yuan; Hongyu Xiong; Faqin Mu; Xiang Li; Lingqiao Wu; Xiaopeng Yang; Xingyu Li; Yizhe Mu; Ceshi Chen; Huixin Wu; et al. (Metabolic Brain Disease, 2026)

Characterization, expression, and functional analysis of sarcospan (SSPN) in Chinese tongue sole: Cynoglossus semilaevis - Jing Yu; Yijing Yang; Tianwei Liu; Kun Huang; An Xu; Li Gong; Jing Liu; Fenghui Li; Denghui Zhu; Liqin Liu; Zhenming Lü (Journal of Oceanology and Limnology, 2026)

YOLOv8m-CGSE: An Improved Lightweight YOLOv8m for Marine Oil Spill Detection - Qingyang Wang; Junjie Lu; Bin Yang; Chen Jiao; Tao Yue; Bo Song; Jianwu Jiang; Guoqing Zhou; Jingwen Li (Journal of Marine Science and Engineering, 2026)
Unmanned Aerial Vehicle (UAV) remote sensing images provide high-resolution and flexible monitoring data for oil spill detection. To address the high computational cost and low accuracy of traditional models, this study proposes an improved model, YOLOv8m-CGSE. The model replaces standard convolution with Group Shuffle Convolution (GSConv), substitutes the C2f module with SENetV2, and introduces a light-weight Cross-scale Context Fusion Module (CCFM) to enhance multi-scale feature representation while maintaining a lightweight structure. Mosaic augmentation was applied to the marine oil spill dataset, improving mAP50 and mAP50–95 to 85.4% and 62.0%, respectively. Based on YOLOv8m, the proposed YOLOv8m-CGSE achieved mAP50 and mAP50–95 of 91.2% and 73.3%, respectively, improving accuracy while reducing parameters by 16.1% and computational cost by 12.6%. Furthermore, a supplementary vulnerability test on highly deceptive oil-free sea surfaces demonstrated that the proposed model actively suppresses complex background clutter (e.g., ship wakes and wave anomalies), effectively reducing false positive detections from 21 (baseline) to 15. The results demonstrate that the proposed model effectively balances high precision, robustness against visual lookalikes and computational efficiency for real-time marine oil spill monitoring.

Protective effects of Eleutherococcus sessiliflorus, Phragmites australis , and Pinus densiflora extracts against hydrogen peroxide–induced oxidative stress in SH-SY5Y cells - Muhammad Awais; Md. Niaj Morshed; Reshmi Akter; Anjali Kariyarath Valappil; Van An Hoang; Eun Kim; Kyu Hyeong Yoon; Yoon Ok Lee; Deok Chun Yang; Jason Yon; Dong Uk Yang; Ling Li (Natural Product Research, 2026)

Construction and Application of a 3D PDC Micro-bit Cutting Model for Tight Sandstone Based on the Discrete Element Method - Yan Zhu; Xu Yang; Gao Li; Jiaxin Feng; Yi Zhang; He Zhang (Rock Mechanics and Rock Engineering, 2026)

High Mobility Group Box 1 contributes to Neuroinflammation and Central Sensitization After Nitroglycerin Stimulation in Mice - Ting Long; Shujiang Zhang; Yuan Yang; Ling Li; Xiu Chen (Journal of Molecular Neuroscience, 2026)

miR-141-5p positively regulates ACVRL1 expression to promote cervical cancer progression - Jianbing Liu; Yongzhi Jiao; Jinjuan Wang; Xiaohua Cui; Ying Gao; Yan Zhang; Jing Xu; Jianqing Hao; Yongli Hou; Wei Wang; Guang Yang; Li Li (Human Cell, 2026)

How sea-land breezes affect ozone in coastal cities: spatial and temporal patterns - Naixiu Sun; Ya-nan Wang; Yu Fei; Lin Wu; Yicheng Yang; Liwei Li; Xueling Yang; Hongjun Mao (Environmental Monitoring and Assessment, 2026)

Non-invasive Computational Techniques for Diagnosing Myocardial Ischemia: Challenges and Future of FFRCT/iFRCT - Bao Li; Jincheng Liu; Yang Yang; Hao Sun; Chi Zhu; Leo Hwa Liang; Zijie Wang; Luyao Fan; Suqin Huang; Xueke Li; Guangfei Li; Liyuan Zhang; et al. (Annals of Biomedical Engineering, 2026)

A bibliometric analysis on Internet of Things research for maritime industry 4.0 - Lingyue Li; Xiaozhi Ma; Jing Yang (Frontiers in Marine Science, 2026)
The Internet of Things (IoT) is a key enabling technology for the digital transformation of the maritime sector toward Industry 4.0. Although previous studies identify IoT as a facilitator of maritime Industry 4.0 and examine its applications in specific scenarios, systematic reviews of IoT research for maritime Industry 4.0 are still lacking. Thus, this study follows the preferred reporting items for systematic reviews and meta-analyses to review maritime IoT research for Industry 4.0 and analyze its bibliometric data on publication frequency, keywords, and research co-citation. This review identifies four mainstreams of maritime IoT research that are, 1) digital infrastructures and frameworks, 2) data-driven analytics and modeling, 3) navigation and predictive technologies, and 4) smart operations and digital transformation. It also suggests five future directions, including 1) adaptive IoT frameworks and system architectures, 2) IoT-based smart port operations and development, 3) artificial intelligence (AI) and data-driven analytics for maritime IoT, 4) IoT-enabled maritime intelligence for autonomous maritime systems, and 5) sustainable maritime IoT solutions. Notably, the review finds that environmental sustainability and system resilience remain underrepresented in current research, underscoring the importance of the fifth direction. This study maps research trends to support the digital transformation of the maritime sector toward Industry 4.0.

Dietary bamboo vinegar powder supplementation mitigates the adverse effects of a high-starch diet on growth performance, liver health, and glucose-lipid metabolism in largemouth bass (Micropterus salmoides) - Weibin Lai; Zhangyi Xiao; Ran Yu; Linyi Li; Wenqian Chen; Yuan Gao; Manqi Yang; Liangliang Zhang; Liming Lu; Jianchun Jiang (Frontiers in Marine Science, 2026)
This study explored the potential of bamboo vinegar powder (BVP) to mitigate hepatic injury and metabolic disturbance induced by a high-starch diet in largemouth bass ( Micropterus salmoides ). Fish were distributed into three groups (with three replicates per group) and fed for 56 days with a basal diet (BD), a high-starch diet (CSD), and the BVP-supplemented diet (CSDB, added 2.0 g/kg BVP to the CSD diet), respectively. After the feeding trial, fish in the CSD group exhibited a significant decrease in weight gain rate (WGR) and an increased hepatosomatic index (HSI) ( P < 0.05). Concurrently, hepatic glucose and lipid metabolism of fish in the CSD group were suppressed, leading to the accumulation of hepatic lipids and glycogen, along with histopathological manifestations such as hepatic vacuolation and nuclear shift. Furthermore, immune competence and hepatic antioxidant status were also compromised. However, relative to the CSD group, fish in the CSDB group demonstrated significant improvements in growth performance, immune function, and liver injury. Furthermore, BVP upregulated the expression of nuclear factor erythroid 2-related factor 2 ( nrf2 , a key regulator of antioxidant defense) and downregulated the nuclear factor kappa B ( nf - κb , a central transcription factor in inflammation) ( P < 0.05). More importantly, BVP might improve the metabolism of hepatic glucose and lipid in fish, by suppressing gluconeogenesis and promoting glycolysis to optimize glucose metabolism, as well as by inhibiting lipogenesis and promoting both lipid transport and catabolism to enhance lipid metabolism. Notably, dietary BVP supplementation significantly altered hepatic metabolite profiles, affecting pathways such as alpha-linolenic acid and arachidonic acid metabolism, and increasing the levels of several lipid metabolites, including docosahexaenoic acid and phosphatidylethanolamine species, compared to the CSD group ( P < 0.05). Collectively, these results demonstrated that BVP improved growth performance, liver health, and glucose-lipid metabolism in largemouth bass fed a high-starch diet.

miR-16-2-3p enhances glucocorticoid sensitivity in ulcerative colitis by targeting CREB1 and NF-κB1 - Tianfeng Yang; Juan Luo; Junrui Tang; Jing Wu; Shuxian Xia; Maojuan Li; Qi Huang; Gang Yang; Jiarong Miao; Yunzhen Zhu (Human Cell, 2026)

Structure-driven RNA remodeling underlies broad substrate recognition by NSUN2 - Qian Hu; Wen Yang; Yunyun Yu; Ran Yi; Yutong Zhang; Leyuan Duan; Fudong Li; Kaiming Zhang; Qingguo Gong; Shanshan Li (Science China Life Sciences, 2026)

Advances in ecotoxicological research using planarians: a comprehensive review - Shouhui Pan; Chongtao Guo; Hai Zhang; Hao Cen; Quan Zhang; Fei Dai; Congyong Li; Qing Yang; Zhouqiong Zhang; Wang Yin; Renju Deng (Environmental Science and Pollution Research, 2026)

Influence of lithology on cadmium distribution and potential risks in karst surface soils, southwestern China - Shuangshuang Wei; Chaogui Yang; Qingguang Li; Zengping Ning; Yizhang Liu (Acta Geochimica, 2026)

Experimental Study on Penetration Simulation of the Wellhead Suction Pile in Deep-Sea Resource Drilling - Guojing Zhu; Jin Yang; Jiakang Wang; Shuzhan Li; Ying Zhao; Wenbo Gong; Lei Li; Chao Liu; Segen Estefen (Journal of Marine Science and Engineering, 2026)
The suction pile well construction technique is increasingly adopted in deepwater drilling projects. The soil–structure interaction mechanism during the penetration and installation of the wellhead suction pile in clay is complex. Given the critical demand for precise installation outcomes in engineering practice, the influence of penetration velocity on installation performance requires significant consideration. Through scale-model experimental methods, various penetration velocities were configured primarily by adjusting suction pump flow rates. The influences of these velocities on penetration resistance, penetration depth, and related metrics were systematically assessed. A case study was conducted based on the engineering parameters of a wellsite in the South China Sea. A theoretical algorithm for WSP penetration resistance was developed and subsequently refined through experimental data. Coefficient optimization was established via theoretical assessment of strain-rate dependency and experimental data calibration. The optimized algorithm demonstrated strong agreement with field measurements, achieving a coefficient of determination (R2) exceeding 0.9. Compared to conventional theoretical approaches, it incorporated explicit consideration of penetration velocity. The analysis indicates that in soft clay, the penetration resistance of wellhead suction piles exhibits significant sensitivity to penetration rate, increasing with higher velocities. The influence of penetration rate on penetration depth is relatively weak. This computational approach offers design guidance for installation procedures and enables the implementation of the suction pile well construction mode in the South China Sea.

Lignanamides, alkaloids, and other constituents from stems of Tinospora crispa - Yi-Yang Yuan; Xiang-Hong Chen; Tian Gao; Jun Li; Xian-Ju Huang; Hui Xiong; Zhi-Nan Mei; Yu Chen; Guang-Zhong Yang (Natural Product Research, 2026)

A Method for Fish Feeding Intensity Assessment Based on Spatial Features and TabNet-DFWL - Lu Zhang; Shunshun Zhou; Zunxu Liu; Yue Li; Hao Yang; Wenhui Ni (Fishes, 2026)
Accurate assessment of fish feeding intensity is significant for the timely understanding of feeding demands, dynamically adjusting feeding strategies, and reducing aquaculture costs. However, existing methods often rely on superficial visual features that fail to capture subtle satiety dynamics, resulting in limited reliability. To address the issue, a method for fish feeding intensity assessment based on spatial features and TabNet model with Dynamic Feature Weighting Layer (TabNet-DFWL) is proposed in this study. Fish body contours are extracted from lateral-view images through a pipeline of segmentation, enhancement, and binarization. Subsequently, spatial features highly correlated with fish feeding mechanisms are proposed to characterize behavioral changes. Based on these, an interpretable model integrating spatial features and TabNet-DFWL is constructed to achieve precise fish feeding intensity assessment. This method explores spatial features related to feeding behavior from the underlying mechanism of fish behavioral changes and establishes a feeding intensity assessment model based on TabNet-DFWL. By doing so, it avoids the black-box risk commonly associated with traditional deep learning models and significantly improves model interpretability and reliability, thereby providing a trustworthy basis for precision feeding in aquaculture. Experiments conducted on a real-world fish feeding dataset demonstrate that the proposed method achieves an accuracy of 95.96%, an average precision of 93.44%, an average recall of 93.33%, an average specificity of 98.15%, and an average F1-score of 93.38%. Compared with comparative algorithms, all evaluation metrics exhibit improvements. These results indicate that the proposed method enables accurate assessment of fish feeding intensity and can effectively support the dynamic adjustment of feeding strategies in aquaculture systems.

Correction: Associations Between Dietary Selenium Intake and Risk of Incident Arthritis: Based on UK Biobank WebQ Assessment (2009–2012) - Xuena Yang; Chen Liu; Jin Feng; Shiqiang Cheng; Chuyu Pan; Wenming Wei; Dan He; Boyue Zhao; Jingni Hui; Li Liu; Yan Wen; Yumeng Jia; et al. (Biological Trace Element Research, 2026)

Quantifying Morphology-Related Deviations in Brain Strain Using an Automated Mesh Morphing Method - Yihan Zhang; Yang Wang; Xiaoyu Du; Jingyi Wu; Zhou Zhou; Xianghao Zhan; Li Wang; Yuzhe Liu (Annals of Biomedical Engineering, 2026)

Muscone Exerts Rapid Antidepressant Effects Through Modulating Glutamatergic Neural Transmission in the Anterior Cingulate Cortex Against Peripheral Inflammation-induced Depression - Xiaoyun Qiu; Xiaojie Zhang; Yuanzhi Yang; Minjuan Sun; Xiaoli Da; Jiaying Liu; Rui Wang; Jingjia Liang; Xuhong Jiang; Gang Tian; Qiyuan Shan; Yu Du; et al. (Neuroscience Bulletin, 2026)

Comparative Analysis of Growth Patterns and Sexual Dimorphism of Scylla paramamosain in Pond Culture - Jiahui Liu; Ronghua Li; Yang Jiang; Yun Hu; Zhuang Li; Qingyang Wu; Changkao Mu; Weiwei Song; Chunlin Wang; Ce Shi (Fishes, 2026)
To investigate the growth patterns and sexual differences in pond-cultured mud crabs (Scylla paramamosain), this study measured eight growth patterns in pond-cultured S. paramamosain aged 1 to 5 months, including internal carapace width (ICW), abdomen width (AW), body height (BH), carapace length (CL), propodus length (PL), merus length (ML), first periopod merus length (1PML), and body weight (BW), with measurements taken monthly. The growth patterns for females, males, and a mixed-sex group were fitted using the following three growth curve models: Logistic, Gompertz, and von Bertalanffy. The fitting results indicate that the optimal growth model for male S. paramamosain is the Logistic model, while the optimal growth model for female S. paramamosain is the von Bertalanffy model. The predicted growth inflection points and inflection weight for male S. paramamosain are 3.15 months and 155.00 g, respectively; for female S. paramamosain, the predicted growth inflection point and inflection weight are 4.25 months and 228.71 g, respectively; and for mixed-sex S. paramamosain, the growth inflection point and inflection weight are 3.22 months and 151.80 g, respectively. Males achieve a rapid growth period earlier (at 3–4 months of age) than females, with the weight of male crabs significantly greater than that of females at four months of age (p

A Novel Wave-Absorbing Support System for Mitigating Rock Burst in Deep-Buried Hard Rock Tunnels - Yue-Mao Zhao; Zheng-Chen Ge; Ben-Guo He; Cheng-Xiang Yang; Xing-Long Li; Xiao-Jun Yu; De-Xian Li; Yong-Ping Liu (Rock Mechanics and Rock Engineering, 2026)

Rock-Breaking Analysis and Structural Optimization of Convex-Ribbed Ridged Nonplanar PDC Cutters and Application - Lian Chen; Chuan Hu; Yingxin Yang; Xiaoqiang Peng; Zhengwei Li; Shiwei Niu; Jiayuan Zhao; Zhiqiang Fu (Rock Mechanics and Rock Engineering, 2026)

Transcriptional profiling reveals brain region-specific changes in gene expression induced by chronic unpredictable mild stress between stress-susceptible and stress-resilient mice - Xiaoyu Chen; Yi Cao; Xianlong Zhao; Yang Li; Zhenhua Song; Juntao Wang; Dong Pan (Psychopharmacology, 2026)

Effects of Strontium Marking on Otolith Elemental Deposition, Digestive Enzymes, and Antioxidant System in Juvenile Japanese Flounder (Paralichthys olivaceus) - Jiahui Zhang; Siyang Li; Jun Zhang; Jinming Zhang; Tianyi Li; Jianhua Li; Jun Yang; Yan Wang (Fishes, 2026)
Japanese flounder (Paralichthys olivaceus) is an economically important species in China’s marine fishery industry. However, due to long-term intensive fishing, its wild population has declined sharply. Artificial stock enhancement has become a core measure for restoring its resources. This study aimed to investigate the effects of different immersion durations and concentrations of SrCl2 solution (10, 20, 40, 80 mg/L) on strontium (Sr) deposition in the otoliths of P. olivaceus, and to systematically evaluate the impacts of Sr marking on the fish’s antioxidant capacity and digestive enzyme activity. The results showed that the otolith Sr/Ca ratio was positively correlated with marking concentration and duration; the optimal parameters were 40 mg/L for 4 days, with the Sr/Ca ratio returning to baseline after 30 days post-marking, and a 100% marking success rate. There were no significant differences in body length, body weight, or condition factor between the experimental groups and the control group (p > 0.05), but mortality was significantly increased in the 80 mg/L group. Digestive enzymes exhibited a dose-dependent response to Sr exposure, characterized by activation at low concentrations and inhibition at high concentrations; lipase was the most sensitive, with an inhibition threshold of 10 mg/L. Sr marking within the range of 20–40 mg/L for 4–8 days significantly activated the activity of T-AOC, CAT, GPx, and SOD (p

Terpenes from Platycladus orientalis and the evaluation of their potential anti-inflammatory activity - Yi-Fan Xie; Song-Xue Yang; Xue-Wen Wu; Bo Li; Si-Chen Song; Qiong Wei; Xing-Jie Zhang; Xiao-Li Li; Wei-Lie Xiao (Natural Product Research, 2026)

Flavonoids from the whole plants of limonium sinense and their anti-inflammatory activity - Ban-Ban Li; Shao-Wei Sun; Shuang Miao; Li-Juan Yang; Xin-Yu Meng; Kai-Kai Gong; Shi-Zhou Qi; Jin-Jie Zhang (Natural Product Research, 2026)

Incidence angle dependency of polarimetric characteristics for Arctic sea ice - Kun Yang; Jin Wu; Haiyan Li; William Perrie; Menghao Zhang (International Journal of Remote Sensing, 2026)

Microsphazaphilones H–Y: new azaphilone pigments with HIV latency reversal activity from the marine-derived fungus Microsphaeropsis arundinis P1B - Qing-Ren Lu; Xian-Yuan Yang; Lei Li; Lei-Ming Wu; Lu-Xiang Wan; Yi-Fan Fu; Xian-An Chen; Xin-Xiang Xu; Tao Yuan; Xin Chen; Abrar Ahmed; Nirmal Malik; et al. (Marine Life Science & Technology, 2026)

Novel prenylated diketopiperazines with anti-osteoclastogenic activity from the deep-sea-derived Penicillium limosum ZEN48 - Yong Zhang; Yan-Qing Guo; You Li; Zheng-Biao Zou; Zhe-Wen Chen; Rong Zhao; Robert J. Capon; Tai-Zong Wu; Chun-Lan Xie; Xian-Wen Yang (Marine Life Science & Technology, 2026)
A systematic chemical investigation of the deep-sea-derived fungus Penicillium limosum ZEN48 resulted in the isolation of four new indole-diketopiperazine alkaloids, limopiperazines A–D ( 1 – 4 ), alongside 16 known analogues ( 5 – 20 ). The structures of the new compounds were determined through comprehensive spectroscopic analysis, quantum chemical calculations, X-ray crystallography, and biogenetic considerations. Limopiperazine C ( 3 ) potently inhibited osteoclast differentiation and disrupted actin ring formation. Integrated RNA sequencing, RT-qPCR and molecular docking revealed that limopiperazine C exerts the anti-osteoclastogenic effect by modulating the ferroptosis signaling pathway via targeting heme oxygenase-1 (Hmox-1), positioning it as a promising lead compound for developing anti-osteoporotic agents.

Single-cell and spatial transcriptomics reveal an arachidonic acid–related cellular atlas in lung adenocarcinoma - Chongqi Sun; Yuchen Zhang; Yun Pan; Guixi Xia; Guangrong Yang; Chunkai Huang; Jun Li; Pei Ma (Inflammation Research, 2026)

Association Between Lead Exposure and Anthropometric Indicators in School-aged Children: A Longitudinal Study - Xiangju Wu; Yang Zhou; Linhong Li; Jieying Gao; Rongchang Xiao; Qian Yang; Meng Wu; Siyan Ye; Chengpeng Cui; Peng Lin; Ruifeng Luo; Ge Yan; et al. (Biological Trace Element Research, 2026)

Studies on Zinc Metabolism Related to Ischemia-reperfusion Injury: A Bibliometric and Visualized Analysis - Zhen Yang; Xiaojingnan Ma; Chenxuan Li; Jianmin Zheng; Panpan Zhan; Zhongyang Shen (Biological Trace Element Research, 2026)

MPFT-UNet: A Boundary-Refined and Multi-Scale Dynamic Fusion Network for UAV-Based Port Ship Segmentation - Mengna Shi; Xiulin Qiu; Ang Li; Yuwang Yang; Yaqi Ke; Yilan Chen (Journal of Marine Science and Engineering, 2026)
Ship semantic segmentation based on unmanned aerial vehicle (UAV) imagery has important application value in maritime scenarios such as marine surveillance, port management, and maritime safety. However, UAV images often contain large scale variations of ships, a high proportion of small targets, and complex background interference, including sea surface reflections, waves, and clouds. These factors make accurate segmentation and boundary localization difficult. To address these issues, this paper proposes a UAV-based ship semantic segmentation network, termed MPFT-UNet. The network introduces a Multi-scale Dynamic Sparse Cross-gating (MDSC) module to improve the representation of small targets. A Boundary Supervision Refinement (BSR) module is used to enhance boundary delineation. In addition, a Transformer-based Feature Fusion (FFT) module is applied at the bottleneck layer to strengthen global semantic representation. Experimental results show that MPFT-UNet achieves better performance than existing methods across multiple evaluation metrics. The model obtains an IoU of 0.8365, Dice coefficient of 0.9028, Recall of 0.8881, and AP of 0.95731. These results indicate stable segmentation performance under complex maritime conditions. Compared with the baseline U-Net model, the IoU is improved by approximately 5.1%.

Targeting complement and coagulation cascades with Buyang Huanwu Decoction attenuates acute inflammation and enhances neuroprotection in spinal cord injury - Dezun Ma; Xinyu Xie; Yijun Ma; Hui Yan; Haoyuan Yin; Xue Tan; Yan Li; Xinpei Lin; Yuexin Huang; Xiang Wu; Zhihao Zhou; Chenglin Yang; et al. (Science China Life Sciences, 2026)

Cuproptosis: a novel mechanism and 3PM-oriented therapeutic strategy for cancer - Ding Yang; Wei-Ting Hu; Miao Li; Fang-Qing Shen; Hao-Yu Wang; Jin-Ying Ye; Fu-Lu Ren; Yun Wang (EPMA Journal, 2026)

Oil Slick Detection in X-Band Marine Radar Imagery: Leveraging a Boundary-Aware SBR Feature and an Improved Whale Optimization Algorithm - Jianxun Rui; Jin Xu; Jianbin Yuan; Zekun Guo; Shuo Zhang; Yiteng Zhang; Qiuyu Fu; Boxi Yao; Yulong Yang; Wenhui Li (Journal of Marine Science and Engineering, 2026)
Marine oil spills pose a persistent threat to marine ecosystems and coastal economies, and their rapid and unpredictable spread requires timely and reliable monitoring. In X-band marine radar images, oil slicks usually appear as low-contrast dark targets embedded in heterogeneous sea clutter, making accurate segmentation particularly challenging. To address this problem, this study proposes a training-free two-stage oil slick detection framework that combines an improved Slick Boundary Ratio (SBR) feature with an improved Whale Optimization Algorithm (WOA). First, the improved SBR feature is used to extract the oil slick region of interest (ROI). Then, the improved WOA is employed to determine the global threshold for oil slick segmentation. Experimental results show that the proposed method achieves accurate and spatially coherent oil slick segmentation in complex radar backgrounds, with an Accuracy of 99.36%, a Precision of 85.73%, a Recall of 84.42%, an F1-score of 85.07%, and an Intersection over Union (IoU) of 74.01%. These results indicate that the proposed framework can effectively suppress false positives while maintaining strong detection sensitivity, thereby improving segmentation robustness in low-contrast marine radar scenes. Owing to its training-free design, the proposed method shows potential for shipborne and coastal oil spill monitoring applications.

Petroleum Geological Conditions and Exploration Potential Prediction of Deepwater and Deep Formations in the Under-Explored Offshore Indus Basin - Baohua Lei; Jing Liao; Jie Liang; Qi Li; Jianming Gong; Xiaodong Yang; Jing Sun; Yinguo Zhang (Journal of Marine Science and Engineering, 2026)
The Offshore Indus Basin is located on the western margin of the Indian Plate, adjacent to the onshore Lower Indus Basin in Pakistan and the Kutch Basin along India’s western coast. Deepwater and deep formations in this basin are characterized by low exploration intensity and poor early data quality, which hinder the verification of hydrocarbon potential. Based on newly acquired high-resolution seismic data and onshore–offshore correlation, this study analyzes basin evolution and systematically evaluates petroleum geological conditions and exploration potential of deepwater and deep formations. The results show that the basin has experienced three evolutionary stages: Mesozoic rifting, Cenozoic post-rift thermal subsidence, and passive continental margin development, which collectively control the petroleum geological conditions of deepwater and deep strata. Mesozoic strata (Jurassic and Cretaceous) are widely developed beneath the Deccan volcanic rocks, with a stable distribution. Three sets of potential source rocks are identified: Cretaceous (Type II/III organic matter, high maturity, high quality), Paleo–Eocene (Type III, moderate maturity, high quality), and Lower Miocene (Type II2/III, low maturity, poor–moderate quality). Three sets of high-quality reservoirs are developed: Cretaceous deltaic–shallow marine sandstones, Paleocene reef limestones, and Miocene deltaic and subaqueous fan sandstones. Three hydrocarbon accumulation models are established. Favorable structural belts are mainly distributed in the NW, NE, and SE parts of the basin, dominated by structural and lithological traps. Thin Deccan volcanic rocks in deepwater areas exert a positive effect on the preservation of deep Mesozoic strata and petroleum system development. This study clarifies the key petroleum geological conditions and accumulation rules of deepwater and deep formations, providing a robust basis for hydrocarbon exploration potential evaluation in the Offshore Indus Basin.

Neuromuscular control mechanism during posture-cognition dual task in mild cognitive impairment: a concurrent fNIRS-sEMG-COP study - Ruochen Fu; Jinjin Ma; Yao Zu; Yingying Fang; Yan Li; Arnold Y. L. Wong; Xue Cheng; Yan Leng; Jiajia Yang; Chuhuai Wang; Qiuhua Yu (GeroScience, 2026)

Advances and Perspectives in Atmospheric Environment Modeling in China - Zifa Wang; Xinwei Li; Meng Gao; Baozhu Ge; Xiao Tang; Xueshun Chen; Qizhong Wu; Lin Wu; Zhe Wang; Ting Yang; Xiaole Pan; Huansheng Chen; et al. (Advances in Atmospheric Sciences, 2026)

Valorization of waste barbecue ash and bamboo biochar as sustainable scaffolds for high-conductivity phase change materials - Chaoen Li; Chengzhi Guo; Xiaodong Wen; JingJing Shao; Wei Cai; Jiayu Wu; Mei Zhao; Yin Tang; Meng Wang; Dongjing Liu; Yang He; Jiang Wu (Waste Disposal & Sustainable Energy, 2026)

Engineering TadA8e-based base editors for GhWOX1 editing to create cotton with diverse leaf shapes - Guanying Wang; Shihe Jiang; Meijing Li; Yao He; Mingju Zhu; Fengjiao Hui; Li Yang; Jie Yu; Yongxue Hu; Mengqin Tang; Na Zhang; Bo Li; et al. (Science China Life Sciences, 2026)

Spatiotemporal contributions of trends and interannual fluctuations in soil moisture and their associations with GPP in global rangelands - Xinran Gao; Qiang Si; Jianhua Xiao; Yang Li (Plant and Soil, 2026)

Unraveling the molecular landscape and therapeutic strategies for acute kidney injury: insights from transcriptomics, network pharmacology, virtual screening, and in vitro experiments - Guoqiang Li; Dianjie Zeng; Yinhuai Wang; Jiachen Liu; Dong Yang (Molecular Diversity, 2026)

Crosstalk between the monocytes and coagulation factor VⅡa aggravates the inflammation in patients with CAD - Baofu Wang; Wenbo Han; Shengyao Xiu; Yang Li; Xiaowan Han; Mingjing Zhao; Xian Wang (Immunologic Research, 2026)

Asynchronous Parallel I/O Optimization for the Mass Conservation Ocean Model Using PAIO - Xinyu Chen; Ruizhe Li; Yu Cao; Xiaoqun Cao; Xiaoli Ren; Jinhui Yang; Xiaoyong Li; Difu Sun (Journal of Marine Science and Engineering, 2026)
The increasing resolution of global ocean circulation models has made data output an important constraint on runtime efficiency and operational timeliness. The current dedicated-process asynchronous I/O scheme in the Mass Conservation Ocean Model (MaCOM) sends output data from compute processes to a group of reserved I/O processes. Although this design separates part of the writing work from the main time-stepping loop, it still introduces centralized data aggregation, additional I/O process management, and high memory pressure on the I/O side at large process counts. This paper presents MaCOM–PAIO, a PAIO-enabled asynchronous I/O optimization for MaCOM. Built on the existing PAIO/PAIOM asynchronous I/O stack, MaCOM–PAIO implements a thread-based asynchronous output path, adapts the PnetCDF execution path used by MaCOM to route selected collective writes to PAIO, and uses PAIOM asynchronous zones to submit history and restart output operations as background tasks. The implementation keeps the numerical solver unchanged and preserves the PnetCDF-style calling path at the application level, while replacing the dedicated I/O process path with I/O–thread-based asynchronous execution on the allocated HPC nodes. Experiments were conducted on a 1/12∘ global MaCOM configuration. Strong-scaling tests show that, at 1646 compute processes, MaCOM–PAIO reduces the total runtime from 1167.45 s to 276.53 s and lowers the compute-side I/O blocking ratio from 67.2% to 4.9% under the tested configuration. In an independent bandwidth test at 1080 compute processes, the measured write bandwidth increases from approximately 0.10 GiB/s to 0.90 GiB/s for output volumes of about 82 GiB. The maximum memory footprint of the I/O entities is also reduced from approximately 18.2 GiB in the legacy dedicated-I/O scheme to approximately 1.9 GiB in MaCOM–PAIO. These results demonstrate that PAIO-based integration is a practical approach for improving MaCOM I/O performance under the evaluated hardware/software environment and workload.

Multiorgan transcriptomics and circulating extracellular vesicle profiling reveal age-dependent systemic vulnerability to isoflurane anesthesia and surgery - Balaji Krishnamachary; Hangnoh Lee; Zihui Wang; Wendy W. Yang; Hui Li; Zhuofan Lei; Junfang Wu; Yun Li (GeroScience, 2026)

Urban river health evaluation in semi-arid Xi’an, China: a hybrid RF-DNN framework integrating multi-source and SHAP-based interpretability - Yajie Qu; Tao Yang; Haiyan Li; Yilin Liao; Xiangnan Lei; Jiaqi Yuan (Environmental Monitoring and Assessment, 2026)

Short-term and long-term prediction of South China Sea SST based on multiple meteorological factors and machine learning - Wenya Ji; Jiyuan Yin; Jianhu Wang; Menglu Wang; Juan Li; Yiqiu Yang (Frontiers in Marine Science, 2026)
Sea surface temperature (SST) is a vital component of the climate system, and its spatiotemporal variations significantly influence global climate and ecological equilibrium. Unlike most existing univariate SST prediction models that neglect atmospheric forcing information, this study proposes a machine learning-driven multivariate framework integrating key meteorological variables to learn data-driven, nonlinear relationships for improved SST prediction. Based on the ERA5 reanalysis data, three machine learning algorithms, namely, Random Forest (RF), XGBoost and LightGBM, are used to construct short-term and long-term SST forecast models for the South China Sea. The input feature variables include seven meteorological and hydrological variables such as SST, 10m u-component of wind (U10), 10m v-component of wind (V10), 2m dewpoint temperature (d2m), 2m temperature (t2m), mean sea level pressure (SLP), and total cloud cover (TCC). Correlation analysis revealed that these meteorological factors are significantly correlated with SST, with the strongest correlations observed for 2-meter dew point temperature and 2-meter air temperature. Model performance is assessed using metrics such as Mean Squared Error (MSE), Root Mean Squared Error (RMSE), Mean Absolute Error (MAE), and the coefficient of determination (R²). The results indicate that the RF model exhibits the highest accuracy for both short-term and long-term forecasting models. Furthermore, this study explores high-resolution SST forecasting models for the South China Sea, revealing that total cloud cover (TCC) contributes more to SST predictions than sea surface salinity (SSS), and the model performs well across most areas of the South China Sea (excluding coastal regions), achieving forecasts with a lead time of at least 20 months. The long lead-time prediction ability derived from a multivariate input design further highlights the advantages of the proposed method over traditional single-factor models. These findings demonstrate the feasibility of machine learning algorithms for SST prediction, providing an efficient approach to understanding future SST changes and their potential impacts, while emphasizing the necessity of integrating multiple meteorological factors to enhance forecasting accuracy.

Rapid Detection of Endotoxin Based on G-quadruplex/Thioflavin T Label-Free Fluorescent Aptamer Sensor - Xuan Hu; Jingyi Zhang; Fei Shen; Qian Yang; Changrui Xing; Jian Yuan; Guanglei Li (Journal of Fluorescence, 2026)

A new strategy for fine-scale identification of urban PM2.5 spatial patterns and air quality assessment: a case study of the Urumqi-Changji-Shihezi Region - Yuxin Ren; Zhe Zhang; Liangyi Li; Ying Gan; Zeyuan Chen; Xuan Zhou; Yuechen Yang (Environment, Development and Sustainability, 2026)

ISPH Simulation of Non-Equilibrium Suspended Sediment Transport Using a Generalized Sediment Transport Equation - Sai Ge; Shaowu Li; Ye Liu; Yang Shi; Dong Wang; Tinghao Yang (Journal of Marine Science and Engineering, 2026)
Non-equilibrium suspended sediment transport is the most general state in engineering practice. Earlier analytical and numerical models for non-equilibrium suspended sediment transport were primarily designed for specific case studies and lack universal applicability. This work aims to develop a generalized two-dimensional (2D) numerical model based on the incompressible smoothed particle hydrodynamics (ISPH) approach for simulating non-equilibrium suspended sediment transport. The model integrates a generalized bottom boundary condition that accounts for both deposition velocity and equilibrium concentration. The impact of turbulence, as well as the hindered settling effect, is also included in the model. The efficacy of the model was assessed using results from analytical or semi-analytical models under 1D unsteady and 2D steady sediment transport modes, as well as from laboratory experiments for 2D unsteady sediment transport. This model reveals the physical mechanism of the hindered settling effect. The effect is most significant in the main suspension zone, where particles interact frequently. In the near-bottom zone, it is limited by physical constraints, and the settling velocity reaches its minimum. In the top zone, the effect is limited by the very low particle concentration, where particle interactions are negligible. The model also captures the different responses caused by different distributions of the turbulent viscosity coefficient and the bottom reference concentration.

A High-Resolution Eigenspace Direction-of-Arrival Estimation Method with an Unknown Number of Sources - Chen Qian; Xinkai Hao; Yong Wang; Yixin Yang; Xiaoyuan Li (Journal of Marine Science and Engineering, 2026)
The Eigenspace method has been widely applied in the ultrasonic field, and this method can improve the resolution and achieve good robustness. However, all existing methods require the number of sources in the space to be known. This paper proposes a high-resolution direction-of-arrival (DOA) estimation method based on the Eigenspace theory with an unknown number of sources in the PM domain. The proposed method first decomposes the received signals of a circular array into orthogonal PM signals and then extends the Eigenspace method into the phase mode (PM) domain. Since the existing Eigenspace methods project the optimal beam scanning vector onto the signal subspace, the number of sources needs to be known in advance. However, in practical scenarios, the number of sources is unknown. The proposed method employs the combination term of the PM covariance matrix and its eigenvalues to perform power operations, which can approximately achieve the closed-form expressions of the relevant parameters for the signal subspace and the noise subspace. Finally, high-resolution DOA estimation is achieved under the condition of an unknown number of sources. Simulation and experimental results demonstrate the effectiveness of the proposed method in high-resolution DOA with an unknown number of sources.

Terpenoids from Euphorbia ebracteolata (Hayata.) with their multidrug resistance reversal activity - Jia-Le Liu; Jian-Wei Sun; Dong-Xue Wang; Jie Yang; Juan Chen; Jian-Chun Li (Natural Product Research, 2026)

Polyprenylated acylphloroglucinols from Hypericum monogynum and their reversal of multidrug resistance in MCF-7/ADR cells - Yan-Rong Zeng; Peng Zhao; Jing-Yi Yin; Hong-Jin Ban; Zhan Feng; Yu-Xiang Li; Min Yang; Jing Tan; Cheng-Jian Tan; Jue Yang; Xiao-Jiang Hao; Chun-Mao Yuan (Molecular Diversity, 2026)

Dynamic Triangulation of Resting-State Networks and CSF Metabolites Reveals Bidirectional Causal Pathways in Multiple Sclerosis: A Mendelian Randomization Analysis - Junyu Chen; Jianlin Li; Liuxin Ran; Kunyi Li; Yang Xie (Journal of Molecular Neuroscience, 2026)

NR1H4 downregulation facilitates abnormal cell proliferation contributing to IgA nephropathy pathogenesis, with potential clinical implications - Xian Li; Wen Yang; Changxi Sun (Human Cell, 2026)

Neurovascular decoupling is associated with altered glymphatic function as assessed by the DTI-ALPS index in patients on dialysis - Wenbo Yang; Lijun Song; Mingan Li; Xiaoyan Bai; Boyan Xu; Min Li; Zhenghan Yang; Tiantian Ma; Yong Gong; Gang Fu; Wenjing Zhao; Jing Zhao; et al. (Brain Imaging and Behavior, 2026)

Structural decomposition enables multi-omics dissection of common and organ-specific aging - He Huang; Yi Li; Qinglin Song; Liyun Yuan; Yuqi Yang; Minwei Zhu; Renliang Sun; Yue Hu; Chenyihang Xiong; Ting Ni; Yun Liu; Andrés Ruiz-Linares; et al. (Science China Life Sciences, 2026)

A rare case of long-standing lupus vulgaris with psoriasiform manifestations diagnosed by mNGS: a case report - Qiang Li; Xiaoyang Yang; Huanlin Zhu; Shuhui Yang; Guangwen Yin (European Journal of Clinical Microbiology & Infectious Diseases, 2026)

Rethinking Ship Emission Hotspots: A 100 m Resolution AIS-Based Inventory for Coastal Chinese Waters - Shuting Sun; Huihui Zhao; Xianchao Yang; Li Zhu; Wei Han (Journal of Marine Science and Engineering, 2026)
Existing ship emission inventories for coastal seas are typically gridded at 500 m to 1 km, a resolution too coarse to distinguish navigation channels from anchorage zones. Whether the hotspot patterns reported at such scales reflect true emission geography or are artifacts of spatial averaging remains an open question. We construct a 100 m resolution AIS-based emission inventory for two contrasting coastal environments in eastern China—the Yangtze River estuary and the Wenzhou coastal area—using the STEAM framework, and we quantify spatial concentration with Lorenz curve analyses. At this finer resolution, three emission archetypes become separable: discrete anchorage clusters, bankside berthing bands flanking navigation lanes, and sinuous riverbank traces in confined waterways. Emissions are extremely concentrated: the top 1% of grid cells capture over three-quarters of the total theoretical emission potential (Gini = 0.940), and this pattern persists across all months of 2023. Reaggregating the same data to 1 km reduces the top-1% share by roughly 10%, confirming that coarse gridding systematically understates anchorage contributions while overstating those of transit corridors. A dedicated sensitivity analysis on auxiliary engine load assumptions (±30% perturbation of canonical Jalkanen-style load brackets) shows that, while absolute emission totals carry approximately ±15% uncertainty, the spatial concentration of emissions is highly robust: Across all perturbation scenarios, the Gini coefficient varies by less than 0.01, the top-5% emission share varies by less than 2 percentage points, and the location of top-5% hotspot cells overlaps by ≥97.9% (Jaccard index). The results highlight stationary vessel hotspots—discrete anchorages and bankside berths—as a major and previously underemphasized contributor to the cumulative coastal ship emission budget, complementing rather than replacing the conventional navigation-lane focus, with direct implications for shore power siting, anchorage management, and emission control zone design.

Chemical constituents and ferroptosis inhibitory activity of the deep-sea-derived fungus Penicillium citrinum W24 - Cheng-You Lin; Yuan Wang; Tai-Zong Wu; Rong Chao; Zheng-Biao Zou; Li-Sheng Li; Tian-Hua Zhong; Xian-Wen Yang (Natural Product Research, 2026)

Genetic Diversity Analysis and Core Collection Construction of Macadamia in China Using Genome-Wide SNP Markers - Jifeng Wan; Ximei Song; Minghong Zou; Qian Yang; Wenxin Li; Zhao Wang; Hui Zeng (Tropical Plant Biology, 2026)

Deep-learning reconstructed single-shot T2-weighted magnetic resonance imaging reveals subtle pancreatic duct injury in steroid-treated probable autoimmune pancreatitis - Meizi Li; Jia Xu; Kun He; Dong Wu; Aiming Yang (Science China Life Sciences, 2026)

Distinct macrophage and microglia function in ischemic stroke - Dengxing Li; Bao Liao; Huimin Wei; Fengmei Li; Jinyong Teng; LiLi Wei; Yueyuan Huang; Qin Yang; Shaofa Li (Journal of Biosciences, 2026)

Sustainable development model of resource-based rural: evaluation and optimization from the perspective of the industrial chain - Yunlong Dong; Qingsong Wang; Ziyang Li; Huibin Zhang; Yujie Zhang; Xueliang Yuan; Qiao Ma; Yue Xu; Shu Tian; Yuan Xu; Shuo Yang; Chengqing Liu (Environment, Development and Sustainability, 2026)

Resting-state BOLD-CBF coupling in end-stage renal disease with diabetic kidney disease patients: associations with clinical characteristics and cognitive function - Bingxin Yu; Wenbo Yang; Lijun Song; Mingan Li; Boyan Xu; Zhenchang Wang; Hao Wang (Brain Imaging and Behavior, 2026)

Characteristics and evolutionary relationships of mitochondrial genome of Bisetocreagris sp. (Pseudoscorpiones: Neobisiidae) - Yang Xu; Gaoji Zhang; Yingzhu Li; Ming Gao; Hongyi Liu (Biologia, 2026)

Impacts of Landscape Pattern Changes in Hangzhou Bay Intertidal Wetlands on Regional Nitrogen Removal Under Multiple Stressors - Zhihao Xu; Yangjie Li; Xue Wu; Xin Zhao; Bassem Jalali; Bin Wang; Zhi Yang; Juan Wang; Xin Wang; Cheng He; Hongliang Li; Jianfang Chen (Journal of Marine Science and Engineering, 2026)
Hangzhou Bay has long experienced excessive nitrogen loading coupled with limited hydrodynamic exchange, leading to some of the highest nitrogen concentrations in China’s coastal waters. As critical land-sea ecotones, intertidal wetlands play a crucial role in mitigating nitrogen pollution across the bay. However, rapid urbanization and extensive reclamation since 1990 have led to a loss of over 50% of the intertidal wetlands in southern Hangzhou Bay. In this study we measured sediment denitrification and anammox potentials across key habitats: salt marshes (vegetated by Spartina alterniflora, Phragmites australis, and Scirpus mariqueter), bare mudflats, and shellfish aquaculture zones. We used 15N isotope tracing techniques coupled with slurry incubation experiments. Analysis of sediment physicochemical properties was conducted to elucidate the driving mechanisms of nitrogen removal. By integrating wetland landscape evolution with regional nitrogen budgets, we evaluated the nitrogen sink function of these intertidal wetlands. Our results revealed a distinct spatial hierarchy in denitrification potential, decreasing in the order: S. alterniflora (13.02 ± 3.54 μmol·N·kg−1·h−1) > shellfish aquaculture zones (12.86 ± 7.50 μmol·N·kg−1·h−1) > P. australis (11.54 ± 1.80 μmol·N·kg−1·h−1) > S. mariqueter (7.33 ± 2.08 μmol·N·kg−1·h−1) > bare mudflats (5.99 ± 1.62 μmol·N·kg−1·h−1). S. alterniflora has higher primary productivity, biomass accumulation, and a more robust root system structure. It regulates the content and availability of sediment organic carbon, the supply of nitrate nitrogen, pH, and water content. These regulations subsequently enhance denitrification. In contrast, shellfish aquaculture zones enhance denitrification potential primarily through bioturbation, which increases water content and lowers pH conditions. An integrated assessment of denitrification potential and landscape patterns revealed that, despite ongoing habitat loss, the remaining intertidal wetlands in southern Hangzhou Bay still remove about 30.65% of exogenous inorganic nitrogen. This finding underscores their critical role as effective pollution buffers under high nitrogen loading.

Co-existence of blaCTX-M and mcr-1 in avian pathogenic Escherichia coli in Southern Xinjiang: current status and antimicrobial resistance characteristics - Bin Yang; Guofeng Xing; Wenxuan Ma; Meng Qi; Bo Jing; Jing Li; Jing Wu (Folia Microbiologica, 2026)

Musculoskeletal modeling based on deep-nsNMF for multi-DoF motion decoding - Jianmin Li; Yue Yang; Qiyang Li; Jianchang Zhao; Jinhua Li; Lizhi Pan (Medical & Biological Engineering & Computing, 2026)

Runoff evolution and attribution analysis over the past 40 years in Xiangjiang River Basin, China - Jin Xiang; Liu Yang; Chang Feng; Ruisi Sun; Chang Liu; Na Li (Environment, Development and Sustainability, 2026)

Care-receivers’ expected intergenerational support in aging rural China: A perspective of sustainable livelihoods and the sandwich effect - Bo Yang; Marcus W. Feldman; Shuzhuo Li (The Social Science Journal, 2026)

Unraveling the Pathophysiological Link Between ALS and SCA: The Role of Ischemic Cerebral Vascular Dissection and the Efficacy of Endovascular Therapy - Junting Li; Xiao Yang; Jianmin Liu; Kaijun Zhao (The Cerebellum, 2026)

Rapid evolution of life history of two water fleas in response to inter-specific competition - Jiasheng Yang; Jianan Li; Ailing Yan; Haoran Zhang; Qianqian Wei; Xiaodong Jiang (Journal of Oceanology and Limnology, 2026)

Position dependent elasticity of the anterior talofibular ligament in healthy young women: an in-vivo shear wave elastography study - Zili Chen; Wan Zhou; Hao Liang; Xing Liu; Yibo Li; Li Yang; Huijuan Xiang; Rui Du (European Journal of Applied Physiology, 2026)

Clinical study on the interaction between iron metabolism and neuroinflammation and iron deposition in the substantia nigra of Parkinson’s disease - Yani Yao; Jiayi Li; Jiaoyang Yan; Qian Cai; Yuling Wang; Huan Xia; Tingting Feng; Peishan Li; Xinling Yang (Brain Imaging and Behavior, 2026)

A new diphenyl ether with insecticidal activity from the mangrove endophytic fungus Aspergillus sp. GXNU-DY2-12 - Meijing Tan; Shichao Ju; Fan He; Wenjun Li; Youquan Wei; Weifeng Xu; Ruiyun Yang; Xishan Huang (Natural Product Research, 2026)

New 14,15-dinor- neo -clerodane and neo -clerodane diterpenoids from Ajuga macrosperma Wall. ex benth - Yi-huan Li; Yi-hang Ba; Jian-fen Xiao; Shuai Chen; Tian-qing Zhu; Kai-xiang Liu; Hong-ping He; Hua-yi Jiang; Rui Yang (Natural Product Research, 2026)

Talarombrevisone A, an β -aminopropionate with two polyketide units, isolated from an endophytic fungus Talaromyces brevis - Yun-He Tuo; Zhong-Duo Yang; Jian-Guo Chen; Cui-Juan Xu; Lin-bo Liu; Tian-Kun Zhao; Yue Li; Li-Bin Xia; Shuai Yu; Ai-Hong Zhao; Shuo Li (Natural Product Research, 2026)

Two new compounds from the roots of Paeonia lactiflora Pall. and their anti-inflammatory effects - Bo Fu; Jin-Ling Zhang; Jia-Tong Wu; Si-Yi Wang; Yi-Qiang Zhang; Juan Pan; Wei Guan; Zhi-Chao Hao; Hai-Xue Kuang; Qing-shan Chen; Li-Li Zhang; Bing-You Yang; et al. (Natural Product Research, 2026)

Determining the extent and runout path of large earthflow through multi-temporal InSAR and topographic analysis - Wangcai Liu; Yi Zhang; Yanzhong Yang; Weili Cai; Zhen Gu; Yuanxi Li; Xiang Wu; Xingmin Meng (International Journal of Remote Sensing, 2026)

Identification of Mitochondrial Dysfunction Genes as Diagnostic Biomarkers for Ischemic Stroke by Integrated Bioinformatics Analysis and Machine Learning - Dandan Wu; Xiaolan Huang; Jie Li; Dingmin Mo; Weiwei Lan; Zihan Song; Li Su; Jianxiong Long; Jialei Yang (Journal of Molecular Neuroscience, 2026)

How does climate risk impact energy transition? Evidence from 61 countries worldwide - Siqi Yang; Jiayi Yang; Hao Li (Environment, Development and Sustainability, 2026)

S3WP: A novel method for online predicting weight of stacked seeds needed to grow seedlings based on binocular vision and improved YOLO11n-seg - Xinting Ding; Yulong Wang; Xu Wang; Bingbing Wang; Li Li; Hao Li; Yongjie Cui; Qichang Yang (Computers and Electronics in Agriculture, 2026)

MDSN-Net: A multi-domain spectral nexus network for underwater accurate fish counting - Jiaming Xin; Tongtong Gu; Zhengmeng Wu; Yiying Wang; Dashe Li; Huanhai Yang (Computers and Electronics in Agriculture, 2026)

Straw cutting mechanisms in a stabilizing ring-assisted rotary shear system revealed by multi-condition experiments and DEM simulations - Rongrong Li; Hongwen Li; Shuofei Yang; Jin He; Caiyun Lu; Chao Wang; Hanyu Yang; Shan Jiang; Zongfu Yang (Computers and Electronics in Agriculture, 2026)

Development of a deep learning-assisted multispectral device for non-destructive detection and analysis of nicosulfuron stress in field maize - Tianpu Xiao; Li Yang; Xiantao He; Liangju Wang; Dongxing Zhang; Tao Cui; Kailiang Zhang; Xiaoshuang Zhang; Shaoyi An; Lei Bao (Computers and Electronics in Agriculture, 2026)

Growth monitoring of rice based on UAV hyperspectral images and improved deep learning method: The QRCNN-BIGRU-MLLA network - Peilin Li; Yang Lu; Fei Li; Qiang Ma; Nan Zhang (Computers and Electronics in Agriculture, 2026)

Synergistic fusion network of GAN-based deblurring and target detection for high-speed potato seeding monitoring - Da Wang; Xu Mao; Sanhui Wang; Jidong Lv; Yang Li; Yu Tan; Fozilov Golibjon (Computers and Electronics in Agriculture, 2026)

Characterization and source apportionment of halogenated organic pollutants in sediments from the Daya Bay, South China Sea - Ren-Jie Shang; Jian-Fang Hu; Ming-Yang Liu; Yao Xiao; Yi-Ting Zeng; Li-Tian Huang; Ping-An Peng (Marine Pollution Bulletin, 2026)

Impact of macroalgae farming on the carbonate system and biogenic sulfur dynamics in Sansha Bay, China - Ping Wang; Zheng-Xin Hu; Yu Xin; Bing-Han Li; Lu Han; Shu-Hang Dong; Chun-Ying Liu; Tao Liu; Jing-Wen Hu; Jiang-Chen Gong; Gui-Peng Yang (Marine Pollution Bulletin, 2026)

Attenuation of antibiotics and endocrine disruptors flux along the Land-To-Sea continuum: Dominant role of terrestrial ecosystems and remediation potential of salt marsh ecosystems - Zi-Long Mo; Yi-Qin Chen; Yang Yu; Ling-Kan Su; Juan-Ying Li (Marine Pollution Bulletin, 2026)

Alkaline materials for coastal ocean alkalinity enhancement: A comparative study of natural silicates and industrial byproducts - Xinyu Li; Zhe Zhou; Heng Xiao; Jiangtao Li; Shouye Yang (Marine Pollution Bulletin, 2026)

Distribution and assessment of potentially toxic elements in sediments from a lagoon-bay system: Evidence from the nearshore of Huizhou-Shanwei, China - Sizheng Li; Wanhu Wang; Yang Wang; Cong Lin; Xi Wei; Jiajun Cao (Marine Pollution Bulletin, 2026)

Isolation and whole-genome sequencing of antibiotic-resistant bacteria revealed the reservoir for indigenous antibiotic resistance genes in the deepest ocean sediment of the Challenger Deep - Wenmian Ding; Yuepeng Wang; Yuewei Ma; Ping Chen; Ji Yang; Zhiping Song; Yuguo Wang; Wenju Zhang; Xuan Li; Yanyan Huang; Peng Nan (Marine Pollution Bulletin, 2026)

Hydrodynamic control on the interannual variability of algal bloom in the Pearl River Estuary from 2021 to 2024: evidences from buoy data and hydrodynamic modeling - Heng Zhang; Zijian Zhang; Xinfeng Zhao; Hong Yang; Tong Li; Zhen Shi; Kaikai Hu; Guang Zhang (Marine Pollution Bulletin, 2026)

DICP1-A precisely degrades STING-A but not STING-B to suppress IFN expression through the autophagic pathway in gibel carp - Yue Wu; Shun Li; Fan-Xiang Gao; Zhi Li; Rui-Hai Gan; Can Zhang; Xiao-Li Yang; Zhuo-Cong Li; Chu-Jing Zhou; Yang-Yang Wang; Na Xu; Xue-Bing Wang; et al. (Aquaculture, 2026)

Peroxisome proliferator-activated receptor γ coordinates the “growth-defense trade-off” in intensive aquaculture of grass carp (Ctenopharyngodon idella) - Wenting Huang; Shaoqing Zang; Hui Liu; Xinlu Ren; Ruixue Zhang; Yu Yang; Wenwen Wang; Suxu Tan; Tingting Li; Kunpeng Shi; Zhenxia Sha (Aquaculture, 2026)

First isolation and identification of a rhabdovirus from bluegill sunfish (Lepomis macrochirus) - Haiyue Chen; Wangqian Xu; Dingzhe Zou; Baozhou Wu; Shuguang Hao; Huajia Yao; Jie Zhou; Ying Tian; Yifei Li; Run Yang; Yujie Gu; Yu Liu; et al. (Aquaculture, 2026)

Evaluating the probiotic potential of Bacillus velezensis PPB05 in combating Staphylococcus aureus in aquaculture - Chao Gao; Wenqing Yang; Yuyang Duan; Miaomiao Chen; Wenfang Niu; Yi Li (Aquaculture, 2026)

Improved masculinization effect induced by letrozole via suppression of the feminization through AMH signaling in mandarin fish (Siniperca chuatsi) - Kai Yang; Xing Chen; Jiankang Bao; Gang Zhai; Xuehui Li; Hongfei Bao; Xia Jin; Jiangyan He; Huijie Wei; Yin-ai Gao; Zhan Yin; Qiyong Lou (Aquaculture, 2026)

Hydroxytyrosol preserves myofibrillar protein integrity in grass carp (Ctenopharyngodon idella): Implications for flesh quality enhancement - Yi-Wei Liao; Pei Wu; Wei-Dan Jiang; Hong-Yun Zhang; Yao-Bin Ma; Yang Liu; Shu-Wei Li; Sheng-Yao Kuang; Ling Tang; Xiao-Qiu Zhou; Lin Feng (Aquaculture, 2026)

Ammonia–hypoxia co-stress induces intestinal injury, antioxidant dysregulation, and microbial dysbiosis in Macrobrachium rosenbergii - Nusrat Liaqat; Xuenan Li; Huici Yang; Nauman Khan; Nader N. Hassona; Simin You; Xilin Dai (Aquaculture, 2026)

Monitoring and assessment of mangrove disturbance based on the DPSIR model: A case study of Jiulong River Estuary, China - Kexin Wu; Chunyan Lu; Yuqi Wu; Nuocheng Yang; Wenna Gao; Yunqian Li (Ocean & Coastal Management, 2026)

Cluster-aware deep learning-based vessel trajectory prediction for maritime traffic management - Yan Li; Lan Song; Zaili Yang; Huanhuan Li (Ocean & Coastal Management, 2026)

Alternative stable states in coral communities along a latitudinal gradient simplify sediment bacterial assemblages but stabilize biogeochemical functions - Wentao Zhu; Zihan Qiu; Pei Yang; Jingzhao Ke; Xiangbo Liu; He Zhao; Jiquan Lin; Yuxiao Ren; Duanjie Huang; Xiubao Li (Ocean & Coastal Management, 2026)

Evaluating sustainable coastal management strategies following Spartina alterniflora eradication: Insights from typhoon-induced hydro-sedimentary responses - Lv Gong; Yang Hu; Yuanhao Song; Liangxun Pan; Lin Su; Xiaoyu Yu; Wenzhen Zhao; Ben Li; Xiuzhen Li (Ocean & Coastal Management, 2026)

Numerical simulation of the eccentric cassava tuber harvest lifting - Wang Yang; Junhui Xi; Xiaoyue Li; Xian Zheng; Zhiheng Lu (Biosystems Engineering, 2026)

Effect of MHD acceleration control on internal flow field characteristics of air-suction jujube harvester - Yi Wang; Jing Nie; Yang Li; JingBin Li; LongPeng Ding (Biosystems Engineering, 2026)

Hydrocarbon subsidy-stress and divergent reduced iron–manganese thresholds shape microbial resilience in anoxic aquifers - Jili Wang; Yuling Zhang; Yang Ding; Dong Li; Yi Zhang (Water Research, 2026)

Redox oscillations in riparian zone stimulate carbon loss by enhancing microbial respiration - Zhenchen Li; Xiaoyun Li; Binquan Jiao; Yushu Yang; Hongyi Wang; Li Gu; Hainan Ai; Hong Cheng; Shang Cheng (Water Research, 2026)

Sulfonate-mediated hydrogen-bond network modulation and proton enrichment at zerovalent iron-water interface for efficient hydrodechlorination reaction - Tong Hu; Zhendong Zhao; Lisha Yang; Huiwang Dai; Yuejin Zhang; Hao Li; Wenjun Zhou; Daohui Lin; Lizhong Zhu (Water Research, 2026)

Validation of flood inundation modelling using multi-source SAR imagery - Dan Gao; Wenting Wang; Jie Yin; Dapeng Yu; Yi Lu; Xuesong Yuan; Meixuan Li; Yuhan Yang (Water Research, 2026)

Optimal multistage air gap membrane distillation (AGMD) for enhanced lithium extraction from medium- and low-quality brines - Zhongsheng Li; Chuanjun Yang; Xiaoxiong Wang; Qian Chen (Water Research, 2026)