Evaluation of WRF-simulated raindrop size distributions using disdrometer observations across eastern and southern China - Qiqi Yang; Lin Zhang; Wenqin Cai; Lei Wu; Yiheng Chen (Atmospheric Research, 2026)

Acute triclosan exposure induces multidimensional toxicity in zebrafish larvae: Disruption of development, behavior, immune function, and cell death mechanisms - Xiao-Yu Wang; Yong Tao; Shi-Lin Du; Hong Wu; Hong-Yi Liang; Ya-Hui Zhang; Ting-Ting Ding; Ze-Jun Wang (Aquatic Toxicology, 2026)

Hydrochemical Characteristics, Water Quality, and Health Risk Assessment of Groundwater in Zhanjiang Area, Guangdong Province, China - Yongsheng Lin; Jinhui Liu; Shengzhang Zou; Yeyu Yang; Lianjie Fan; Li Lu (Water, Air, & Soil Pollution, 2026)

A Calcination Regeneration Method for KOH Modified Magnetic Rice Husk Biochar with Efficient Adsorption: Preparation, Adsorption Performance for Levofloxacin in Aqueous Solution, and Regeneration Adsorption Mechanism - Zhiqing Duan; Xing Wang; Ziru Li; Lin Jia; Yaxin Li; Min Li; Wenhao Jin; Guojia Ji; Zhi-wei Zhang (Water, Air, & Soil Pollution, 2026)

Deep Learning-Based Monthly Runoff Simulation in Changing Environments: Enhancing Accuracy by Reducing Data Redundancy - Shenghong Liu; Ji Liu; Shaokang Yang; Zhenxin Bao; Shan-e-hyder Soomro; Wenjuan Chang; Qingxia Lin; Qirui Zhang; Gantao Yang; Ruilin Geng; Haiyu Wang; Longteng Dai (Water Resources Management, 2026)

The bioaccumulation and carcinogenic potential of micro- and nanoplastics in humans - Ghulam Nabi; Tariq Aziz; Lin Lin (Toxicological Research, 2026)

Projected changes in streamflow seasonality and flood characteristics in the Moskva R. Basin - Oxana Erina; Xiaohua Lin; Natalia Ogneva; Natalia Semenova; Dmitriy Sokolov; Georgy Ayzel; Xiyan Xu (Theoretical and Applied Climatology, 2026)

Risk evaluation associated with high-temperature disasters in citrus-producing regions of China - Swe Zin Phyo; Siliang Shuai; Lin Zhao; R. M. Dinesh Madhushanka Karunarathna; Ying Yu; Abu Reza Md. Towfiqul Islam; Qi Li; Zhenghua Hu (Theoretical and Applied Climatology, 2026)

Horseradish peroxidase and engineered P450BM3: progress and perspectives in biocatalytic nitration - You-chen Lin; Qing-nan Jia; Fang-fei Qin; Yun-ting Liu; Chao Xu; Jian Zha; Ying-jin Yuan (Systems Microbiology and Biomanufacturing, 2026)

Engineering a temperature-programmable biosensor toolkit for recombinant protein production in Corynebacterium glutamicum - Haofei Xu; Yanbo Li; Yiran Gan; Songzhou Liu; Bin Lin; Shijun Cen; Yankun Yang; Chunli Liu; Xiuxia Liu; Zhonghu Bai (Systems Microbiology and Biomanufacturing, 2026)

Interleukin-12 Supports Self-renewal Division of Mouse Hematopoietic Stem Cells in Polyvinyl Alcohol-Based Culture - Jinglei Zhai; Xialin Li; Meiling Yin; Sen Zhang; Xiaoming Liu; Lisha Wang; Nini Wang; Lin Wang; Hideo Ema; Fang Dong (Stem Cell Reviews and Reports, 2026)

Stem Cell-Derived Exosomes Improve Neurological Dysfunction in a Rat Model of Moderate-to-Severe Cerebral Palsy - Tingting Peng; Huijuan Lin; Xiaoli Zeng; Yunlan Xie; Jie Luo; Lingjie Zhang; Shiya Huang; Zhiyi Ye; Xiaolin Guo; Wen Le; Mingtong Zhang; Wenhui Li; et al. (Stem Cell Reviews and Reports, 2026)

Unannotated noncoding transcripts as a source of intratumor heterogeneity in malignant cell states - Xiaolan Zhou; Limin Lin; Yu Chen; Guangrui Yang; Ting Ni; Zhaozhao Zhao (Science China Life Sciences, 2026)

Genetic deletion of miR-200a/200b increases growth and feed conversion efficiency in yellow catfish - Xu Wang; Yan Xie; Qiaohong Lin; Yang Xiong; Ying Liu; Si Ge; Qiuen Tan; Zhipeng He; Youbo Jiang; Qingqing Han; Shuang Jin; Peipei Huang; et al. (Science China Life Sciences, 2026)

Wnt signaling dysregulation drives Stargardt disease pathogenesis - Xiao Zhang; Zhuo-Lin Liu; Xiao Lin; Shu-Ning Sun; Dandan Shi; Lu Tian; Yang Li; Zi-Bing Jin (Science China Life Sciences, 2026)

Dehydroepiandrosterone activates ADGRG2 to regulate chloride homeostasis and sperm motility via Gs-cAMP pathways - Dan Jiang; Ji-Fei Han; Xian-Zheng Guo; Yu-Qi Ping; Fan Yang; Peng Xiao; Jin-Peng Sun; Xiao Yu; Zhao Yang; Hui Lin (Science China Life Sciences, 2026)

The vinculin-β-catenin axis promotes bone formation and repair: an essential prerequisite for the anti-osteoporotic efficacy of sclerostin-neutralizing antibody - Sixiong Lin; Chu Tao; Yishu Wang; Jianglong Li; YuJia Shi; Qinnan Yan; Yiming Zhong; Huanqing Gao; Tingxuan Wang; Yibo Wang; Qing Yao; Jianmei Huang; et al. (Science China Life Sciences, 2026)

Circulating ceramides and sphingomyelins: key biomarkers and targets in cardiovascular prevention - Shuyao Su; Wanyue Wang; Zhennan Lin; Xueli Yang; Yi Fu; Xiangfeng Lu; Fangchao Liu; Dongfeng Gu (Science China Life Sciences, 2026)

Predicting Rate of Penetration of Horizontal Wells Based on the Di-GRU Model - Tao Pan; Xianzhi Song; Baodong Ma; Zhaopeng Zhu; Lin Zhu; Muchen Liu; Chengkai Zhang; Tengda Long (Rock Mechanics and Rock Engineering, 2026)

Viscous drainage and dripping of eclogitized lower crust in the eastern Pamir imaged by geophysical data - Gang Wen; Yixian Xu; Bo Yang; Xiubin Lin; Xuewei Bao; Runyuan Zeng; Yi Zhang (Science China Earth Sciences, 2026)

Dopamine modulation of aggression - Bing Dai; Dayu Lin (Psychopharmacology, 2026)
Rationale Aggression is an innate social behavior prevalent across animal species. However, in modern human society, inter-personal aggression is considered disruptive and detrimental to both families and communities. Clinically, antipsychotics, which primarily target dopamine (DA) receptors, have been widely used to suppress hyper-aggression. However, the mechanisms underlying the effect of the antipsychotics remain incompletely understood. Objectives We reviewed key steps in brain DA synthesis and summarized genetic and pharmacological evidence supporting the role of the mesolimbic DA system in aggression. Next, we discussed recent circuit studies that elucidate the DA action in modulating aggression-related brain regions. These lines of evidence collectively suggest that DA acts on different brain regions to facilitate aggression and self-learning, and signals the valence of the fighting experience.

Correction to: Methyl jasmonate enhances carotenoid accumulation and lignin deposition in carrot taproot - Guang-Long Wang; Jia-Qi Wu; Yan-Xin Ge; Lin-Yan Jia; Cheng-Ling Zhou; Xu-Qin Ren; Ai-Sheng Xiong (Protoplasma, 2026)

Methyl jasmonate enhances carotenoid accumulation and lignin deposition in carrot taproot - Guang-Long Wang; Jia-Qi Wu; Yan-Xin Ge; Lin-Yan Jia; Cheng-Ling Zhou; Xu-Qin Ren; Ai-Sheng Xiong (Protoplasma, 2026)

Effect of Limosilactobacillus reuteri SBC5-3 Cell-free Supernatant on Growth Performance, Intestinal Inflammation, and Microbiota in Weaned Piglets Challenged With Enterotoxigenic Escherichia coli K88 - Le Xu; Guoying Bao; Shiyu Chen; Chen Liu; Xiannian Zi; Minjie Hu; Qinghua Liu; Qiuye Lin; Zhenhui Cao (Probiotics and Antimicrobial Proteins, 2026)

Probiotics as a Therapeutic Strategy for Obesity: New Thoughts on the Stress Response Mechanisms of Probiotics In Vitro and In Vivo - Dingkang Wang; Chao Li; Jingru Ma; Ruijie Xu; Wei Jing; Sha Liu; Xiaomin Sun; Lin Shi; Youfa Wang (Probiotics and Antimicrobial Proteins, 2026)

Mosses alter soil carbon and nitrogen resources and microbial biomass during desiccation and rehydration - Lumei Xiao; Juan Zhang; Xiaoyun Bai; Kathrin Rousk; Lin Zhang; Xuejing Wang; Xiaogang Wu; Xiaoming Sun; Kaiwen Pan (Plant and Soil, 2026)

TgSclB1 orchestrates anti-oomycete activity by regulating mono-methyl phthalate biosynthesis in Trichoderma guizhouense - Yang Liu; Xiaoteng Shi; Tuokai Wang; Lvxun Tang; Yihao Zhou; Bozheng Lin; Linhua Cao; Siqiao Chen; Tuo Li; Dongyang Liu; Qirong Shen (Plant and Soil, 2026)

Rhizosphere effects on soil fungal community structure and network stability vary along altitudinal gradients in alpine forests of eastern Tibet - Linhong Luo; Lin Zhang; Yiyong Wen; Jin Sun; Xin Luo; Zhengfeng Chen; Chunzhang Zhao (Plant and Soil, 2026)

The rice cysteine protease OsEP3A promotes seedling growth and seed development and contains a nitrogen-starvation-responsive sequence - Yong Chou Lin; Shinn Jia Tzeng; Shin Lon Ho (Plant Cell Reports, 2026)

Mechanisms of cold adaptation in a novel marine eukaryotic phytoplankton—psychrophilic microalga Chlamydomonas sp. LWD-1 - Di Zhang; Songlin Ma; Gerui Yin; Shuo Lin; Bailing Chen; Keqing Liu; Weidong Liu; Yiwen Chen; Baolin Jia; Zhanyou Chi; Fantao Kong (Plant Cell Reports, 2026)

Vernalization-responsive intronless genes in faba bean and the development of KASP markers - Xiaocen Liu; Jinyang Liu; Jiali Huang; Shuoqian Zhao; Shengqi Chen; Yun Lin; Qiang Yan; Jingbin Chen; Chenchen Xue; Ranran Wu; Yonghai Sun; Yuhua He; et al. (Plant Cell Reports, 2026)

Hydrodynamic characterization of non-breaking undular surges interacting with inclined coastal structures - Feidong Zheng; Zongliang Zhang; Qiang Liu; Xueming Wu; Yang Yang; Chao Wang; Cuixia Yao; Xiaozi Lin; Tingjie Huang (Ocean Dynamics, 2026)

Preparatory Activity Indexes Motor Memory in the Motor Cortex - Xiao–Lin Shen; He–Xin Zhao; Yu–Hao Xiao; Yong–Xiang Wang; Li–Zhang Zeng; Hong–Yan Geng (Neuroscience Bulletin, 2026)

Gene-Environment Interaction of Rims1 and Adolescent Social Isolation on Schizophrenia-Like Behaviors in Mice - Lian-Hong Lin; Wei-Min Li; Qian-Yun Wu; Shuang-Yan Li; Xu-Xuan Ma; Yuan Xu; Si-Fu Deng; Bin Zhang; Ji-Hong Liu (Neuroscience Bulletin, 2026)

Deletion of the SHORT Syndrome Gene Prkce Results in Brain Atrophy and Cognitive and Motor Behavior Deficits in Mice - Yu-Long Bao; Wei-Peng Duan; Yan Yang; Zhijie Lin; Ying Shen; Rui Zheng; Xin-Tai Wang (Neuroscience Bulletin, 2026)

Dauricine ameliorates intestinal inflammation and oxidative stress in DSS-induced colitis through TLR4/NLRP3/GSDMD-mediated pyroptosis and Nrf2 pathway - Lin Wang; Jingyuan Liu; Jiayi Wang; Yuxin Xie; Yanan Gao; Daili Xu; Jing Li; Jing Dong; Bingyao Li; Yanjun Cao; Yang Li; Jiao He (Naunyn-Schmiedeberg's Archives of Pharmacology, 2026)

PLGA nanoparticles encapsulating fibroblast growth factor 21 alleviate acetaminophen-induced acute liver injury - Jie Lin; Guoxin Jin; Ling Zhang; Xiu Weng; Kecheng Wu (Naunyn-Schmiedeberg's Archives of Pharmacology, 2026)

Analysis of the species distribution and drug resistance of pathogenic microorganisms causing diabetic foot infections in Southwest China from 2020 to 2024: a retrospective cross-sectional analysis - Shangyu Zhang; Junchi Chen; Rui Sun; Yu Pan; Yusen Zhuo; Li Tang; Jianhua Zhu; Shuyang Li; Lin Chen (Naunyn-Schmiedeberg's Archives of Pharmacology, 2026)

Sinomenine ameliorates experimental autoimmune neuritis by suppressing pro-inflammatory immune components and restoring immune balance - Yan-Mei Gong; Zhen-Lin Liu; Si-Miao Li; Yi-Fan Wei; Guo-Hui Gao; Rui-Qi Xu; Xue-Min Li; Yu-Dong Liu; Rui-Sheng Duan; Ying Liu (Naunyn-Schmiedeberg's Archives of Pharmacology, 2026)

Real-world disproportionality analysis of trabectedin using the United States food and drug administration adverse event reporting system - Xiaojuan Lin; Liwei Guo; Xiaohong Huang; Chen Yan; Li Lin; Maohua Chen (Naunyn-Schmiedeberg's Archives of Pharmacology, 2026)

Effect of ivarmacitinib on swelling and tenderness in small and large joints and imaging changes in patients with moderate-to-severe RA: a post hoc analysis of a phase III clinical trial - Yuxiang Han; Meng Ding; Shaoxin Cui; Yu Tian; Yushu Yang; Xuying Liu; Lin Yang; Xiaoping Wang; Hongtao Jin; Huifang Guo; Haixue Dai; Shanshan Yin; et al. (Naunyn-Schmiedeberg's Archives of Pharmacology, 2026)

Environmental PET-microplastic exposure and risk of non-alcoholic fatty liver disease: An integrated computational toxicology and multi-omics study - Yu Yuan; Chunli Lin; Tianyu Zhang; Chao Song; Yuewen Sun; Hongzhen Tang (Naunyn-Schmiedeberg's Archives of Pharmacology, 2026)

Diosmetin, an active ingredient of Schizonepeta tenuifolia, alleviates acne by regulating inflammation and oxidative stress - Yu Pan; Rui Sun; Elizabeth Rosalind Thomas; Shi Pan; Linli Yang; Wenjun Wang; Lin Chen; Xiang Li (Naunyn-Schmiedeberg's Archives of Pharmacology, 2026)

Comprehensive hazard assessment of translational landslides through multi-model integration: a case study of Yanshan Township in the Three Gorges Reservoir area - Liang Yang; Qin Chen; Manqing Lin; Yang Wang; Jizhixian Liu; Thomas Glade (Natural Hazards, 2026)

Assessment of the severity of lower extremity peripheral arterial disease based on gastrocnemius surface electromyography and mechanomyography signals - Wenxuan Sun; Yanbin Guo; Shuwei Lin; Guoping Wang; Youpeng Zhu; Yao Zhang; Ye Du; Zibo Feng (Medical & Biological Engineering & Computing, 2026)

MRI image segmentation of the major lower leg muscles using deep learning: application in biomechanical analysis - Yongsheng Lin; Zhongzheng Wang; Zhicheng Zheng; Antea Destro; Haoxin Chen; Liping Zhu; Yongjin Zhou; Ruoli Wang (Medical & Biological Engineering & Computing, 2026)

Applying the iRIC Morpho2DH model to determine the effectiveness of check dams against debris flows - Zheng-Yi Feng; Philipp Marr; Tien-Chun Hsu; Ping-Hsuan Kuo; Yu-Po Lin; Ming-Chih Chuang; Ching-Mao Huang; Edoardo Carraro; Su-Chin Chen; Chen-Yu Chen; Thomas Glade (Landslides, 2026)

RCTUnet: a deep learning model for crop-residue-soil image segmentation and crop residue cover extraction - Ting Li; Yang Liu; Haikuan Feng; Meiyan Shu; Hao Yang; Yuanyuan Fu; Xin Xu; Yinghao Lin; Hongbo Qiao; Wei Guo; Xinming Ma; Lei Shi; et al. (Journal of Zhejiang University-SCIENCE B, 2026)

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

Soil respiration and crop biomass components were influenced by eight-year warming and straw retention practices - Shutao Chen; Miaomiao Zhang; Sicheng Ding; Xuewen Yao; Zhaohui Wang; Lin Sang; Zhenghua Hu (Journal of Soils and Sediments, 2026)

A machine learning-based model for soil iron oxides estimation using fused hyperspectral and multispectral data - Yongshi Tan; Zhenxi Wei; Yan Xiao; Yulin Huang; Zongxin Li; Shuting Yang; Lin Zou; Lanhui Yang; Yusong Deng (Journal of Soils and Sediments, 2026)

Continuous cropping of Strobilanthes sarcorrhiza drives rhizosphere bacterial community dysbiosis and growth suppression - Meifang Huang; Jiuzhou Chen; Tianchi Jiang; Kuan Xu; Baoping Xie; Luyi Peng; Xiaoxia Liu; Jie Wang; Weiying Ji; Haizhong Lin; Shengke Tian (Journal of Soils and Sediments, 2026)

Mechanisms by Which Humic Acid Reduces Copper Toxicity in Citrus Roots Based on Omics and Physiology - Wei-Tao Huang; Rong-Rong Xie; Liang-Yuan Tong; Tian-Tian Xia; Jiuxin Guo; Ning-Wei Lai; Zeng-Rong Huang; Lin-Tong Yang; Li-Song Chen (Journal of Plant Growth Regulation, 2026)

Regulation mechanism of the hadal trench-derived fungus Chaetomium globosum YP-106 under oxygen stress as revealed by integration of metabolomic and transcriptomic profiles - Yaqin Fan; Xin Liu; Yan Zhang; Yuxuan Gai; Xin Li; Lin Song (Journal of Oceanology and Limnology, 2026)

The scleractinian coral Pocillopora damicornis Linnaeus, 1758 released polyps with different physiological characteristics under heat stress - Kai Tang; Zhaoqun Liu; Zhicong Yan; Mingxun An; Jia Tang; Jiamin Lin; Chuanliang Wu; Zhi Zhou (Journal of Oceanology and Limnology, 2026)

From rubble to reef: ecological transformation in volcanic rock-assisted coral restoration - Xiangbo Liu; Ruimei Chen; Xiaoyu Lin; He Zhao; Junling Zhang; Wentao Zhu; Yinyin Zhou; Aimin Wang; Xiubao Li (Journal of Oceanology and Limnology, 2026)

Dark environment affects circadian rhythms of gut bacterial community in the mud crab Scylla paramamosain - Jiazheng Zhou; Weichuan Lin; Qiang Li; Shujian Chen; Ce Shi; Changkao Mu; Chunlin Wang; Yangfang Ye (Journal of Oceanology and Limnology, 2026)

Rogue waves in the northern part of the South China Sea: chaotic dynamics and multiparameter synergy determination - Tao Feng; Tianyu Zhang; Danchen Yan; Hailong Wang; Jian Yang; Xun Lin; Junping Zhang (Journal of Oceanology and Limnology, 2026)

Assessment of Coagulansin-A’s therapeutic potential and safety in an ovalbumin (OVA) induced airway inflammation model - Sadaf Naz; Muhammad Usama Mazhar; Aimen Wajid; Rimsha Noor; Lin Zhu; Muhammad Khalid Tipu (Inflammopharmacology, 2026)

Explainable Artificial Intelligence for Strength Prediction and Mechanistic Interpretation of Lime and Cement Stabilized Soils - Ahmad Azeem; Saad Shamim Ansari; Ernian Pan; Chih-Ping Lin (Geotechnical and Geological Engineering, 2026)
This study presents an integrated framework combining scientometric analysis, machine learning (ML), and explainable artificial intelligence (XAI) to predict the unconfined compressive strength (UCS) of lime and cement-stabilised soils. A century-spanning scientometric review of lime- and cement-based soil stabilisation literature (1912–2026), complemented by a focused scientometric assessment of machine-learning-based UCS prediction studies (2011–2025), revealed a mature yet evolving research domain with strong thematic shifts toward sustainability, binder innovation, and data-driven modelling. A curated dataset of 194 cleaned UCS instances was developed from literature, incorporating soil chemistry, texture, and stabiliser dosage. Four ML models, namely artificial neural network (ANN), random forest (RF), adaboost (AdB), and extreme gradient boosting ( XGB), were developed, with XGB demonstrating the highest predictive accuracy and lowest error metrics. XAI tools, including SHapley Additive exPlanations (SHAP) summary, decision, force, and local interpretable model-agnostic explanations (LIME) plots, and individual conditional expectation (ICE) plots and partial dependence plots (PDP), were applied to interpret model behaviour. Cement and lime emerged as the dominant global predictors, while organic content and pH exerted strong moderating effects; soil gradation variables contributed minimally. The XAI outputs aligned with established stabilisation mechanisms, confirming the physical plausibility of the ML predictions. Overall, this study provides a transparent and mechanistically interpretable ML-based predictive framework that enhances scientific understanding and supports reliable engineering decision-making in soil stabilisation practice.

Experimental Study on Shear Anisotropy and Anchoring Mechanism of Fractured Rock Masses - Shuguang Zhang; Jiamian Lin; Wenbo Liu; Xiang Huang; Dipeng Zhu; Wenwu Ou; Shutian Zhao; Yipin Liu; Yingbo Li (Geotechnical and Geological Engineering, 2026)

Serum albumin and uric acid: biomarkers of neurocognitive and physical function in early Parkinson’s disease - Cheng-Liang Chang; Tsu-Kung Lin; Chia-Liang Tsai (Experimental Brain Research, 2026)

Outbreak of Salmonella Typhimurium ST19 linked to passerine birds and cats in Norway, March to July 2024 - Hilde Marie Lund; Lin T. Brandal; Liz Ertzeid Ødeskaug; Heidi Lange; Polina Katsiouleri; Gro S. Johannessen; Bjarne Bergsjø; Åsne Sangolt; Rikard Dryselius; Nadja Karamehmedovic; Henry Kuronen; Anni Vainio; et al. (European Journal of Clinical Microbiology & Infectious Diseases, 2026)
Purpose In June 2024, a genomic cluster of seven Salmonella Typhimurium - sequence type 19, and cluster type 21092 - was detected in Norway, triggering a national outbreak investigation. Methods Information about new cases was collected from the Norwegian Surveillance System for Communicable Diseases and the database at the National Reference Laboratory for Enteropathogenic Bacteria (NRL) at the Norwegian Institute of Public Health (NIPH). Microbiological analyses were conducted by NRL at NIPH for human samples and at the Norwegian Veterinary Institute for animal samples. Epidemiological data was collected through interviews. International notification was sent via EpiPulse. Results Eleven cases in total, sampled between March 6 and July 11, 2024, were identified across Norway. The median age of affected individuals was three years. Notably, 73% of the cases reported prior contact with cats or passerine birds. The outbreak strain was also detected in a faecal sample from a cat belonging to one of the affected households, suggesting an animal source. Concurrently, Finland and Sweden reported five and six cases, respectively, involving the same outbreak strain. Several of these individuals also reported contact with cats or birds. Conclusions Passerine birds are a well-documented reservoir for S. Typhimurium in the Nordic region, often leading to transmission to both cats and humans. This outbreak highlights the role of animal exposure in the spread of S. Typhimurium and emphasize the need for timely, targeted public health communication on infection prevention measures.

The climate effects of ultrafine particles: uncertainties and future perspectives - Yuzhi Jin; Jiandong Wang; Shang Wu; Zhouyang Zhang; Jiaping Wang; Zeyuan Tian; Bin Wang; Qihao Lin; Jing Cai; Chenxi Li; Lei Yao; Chao Liu; et al. (ENGINEERING Environment, 2026)

A mixed-fluid genetic model for the baiceng fluorite deposit, SW China: Deciphering the magmatic thermal driver and basinal fluid sources - Xi-Wen Zhang; Zhong-guo Jin; Ming-hong Zheng; Jun Chen; Ze-liang Yu; Long Luo; Yong-hu Su; Lin Ye; Yan-wen Tang; Min-shan Gun (Earth Science Informatics, 2026)

A web-based intelligent computing application for critical elements in Chinese coals - Na Xu; Wenze Lin; Pengfei Li; Qingfeng Wang (Earth Science Informatics, 2026)

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

Preparation of cancer cell membrane-coated Gambogic acid-loaded pH-sensitive liposomes to enhance targeted anti-hepatocellular carcinoma effect - Yi-Feng Zhang; Kun Chen; Yu-Qing Zhu; Lin Liu; Xiang-Tao Kong; Yan Dai; Xiu-Juan Fu; Ya-Ling Li; Ming-Hua Liu; Dan Zhang (Drug Delivery and Translational Research, 2026)

An Enzymatic Recombinase Amplification Coupled Lateral Flow Assay for Rapid, Visual, and Cost-Effective Detection of Bordetella pertussis - Piaoting Wen; Jian Liu; Mingqi Jiao; Hangxi Liu; Mei Lin; Sheping Zhang; Jun He; Ziyi Li; Changhui Xiao; Zhongliang Deng (Current Microbiology, 2026)

Removal of microplastics in water and wastewater: prospects toward a circular economy - Van-Hiep Hoang; Minh-Ky Nguyen; Tuan-Dung Hoang; Chitsan Lin; Minh Cuong Ha; Nguyen Thi Thanh Huyen; Adnan Hussain; X. Hoan Nguyen; Woojin Chung; D. Duc Nguyen (Clean Technologies and Environmental Policy, 2026)

Epidemiology of esophageal cancer in Xiamen, China, 2011–2020: trends in incidence, mortality, and survival from a population-based registry study - Haixia Zhang; Youlan Chen; Yilan Lin; Jiahuang Chi; Yanqi Lan; Qun Lou; Ahua Wu; Zhinan Guo (Cancer Causes & Control, 2026)

Study on size effect of coal pillar stability of the gob-side coal-rock roadway in gently inclined coal seam - Lin Gao; Shixian Tang; Xiaofen Huang; Pengze Liu; Chuan Deng; Fanghao Zhao (Bulletin of Engineering Geology and the Environment, 2026)

Study on the effect of heating and cooling paths on the macro- and micro-properties of red sandstone based on low-field NMR - Shuang Dang; Lin Ning; Jing Bi; Yu Zhao; Yuhang Zhao; Chaolin Wang; Zhongqian Chen (Bulletin of Engineering Geology and the Environment, 2026)

Mechanical and microstructural responses of yellow sandstone with prefabricated fissures to tailings water immersion - Wenyu Dong; Fei Lin; Zhiguo Xia; Jun Hu; Hailong Wang; Bing Chen; Tianqi Jiang (Bulletin of Engineering Geology and the Environment, 2026)

Influence of moisture content on failure behavior of the rock–concrete interface at positive and negative temperatures under tensile loading - Lin Luo; Xiong Liu; Ronghua Shu; Jiadong Qiu; Yingjie He; Shaowei Liu; Ziwen Zhang (Bulletin of Engineering Geology and the Environment, 2026)

Using reduced-order models to simulate inelastic seismic response of base-isolated buildings - Jui-Liang Lin (Bulletin of Earthquake Engineering, 2026)

In-plane force-displacement relationship for infilled masonry walls in RC frames - Tian Zhou; Qian-Qian Yu; Xiang-Lin Gu; Hong Zhang (Bulletin of Earthquake Engineering, 2026)

Experimental and numerical investigation on seismic behavior of existing masonry corner walls strengthened with external thin concrete columns - Guo-Lei Li; Qian-Qian Yu; Xiang-Lin Gu; Xiang Li; Hong Zhang (Bulletin of Earthquake Engineering, 2026)

Removal of antibiotics and antibiotic resistance genes from vegetable soil and regulation of soil microbial community by a non-toxic cyanobacterium - Yawen Qi; Guannan Lin; Ying Liu; Jian Zhang (Biology and Fertility of Soils, 2026)

Learn to listen and listen to learn: reflections from a co-production process between researchers and composers - Carolin Seiferth; Agnes B. Olin; Konstantinos-Marios Vaziourakis; Sriharsha Bhat; Åsa N. Austin; Christina Lin; Sampo Kasurinen; Zacharias Ehnvall; Mioko Yokoyama; Maya Miro Johnson; Anna Berg; David Tudén; et al. (Sustainability Science, 2026)
As platforms for dialogue, art-science collaborations hold the potential to cross disciplinary boundaries to better understand and engage the public in addressing sustainability challenges. Moving beyond documenting outcomes, this study details how researchers and composers combined science communication and artistic expression to co-produce performances as part of the Baltic Sea Festival Science Lab. Drawing on insights from a joint reflection process, we recount our motivations for participation, provide insights on the co-production processes of six researcher-composer pairs, and share our experiences of the performances. We highlight openness to other ways of working, different perspectives and opinions, and emergence as well as collaborative skills, including listening, communication, and problem-solving skills, as key enablers for crossing disciplinary boundaries in art-science collaborations. As answers to the question on how, why, and in what ways platforms for dialogue can turn into platforms for learning, we discuss opportunities for designing safe-enough spaces, working towards a shared goal while embracing the unfolding nature of a process, and engaging in reflection to follow up on and make sense of one’s learning. Through this study, we hope to provide guidance for those who wish to engage in art-science collaborations to co-produce pathways towards sustainable futures together.

Reimagining the Sustainable Development Goals: Centering Nature’s rights for a more-than-human future - Stacy-ann Robinson; Jonathon Keats; Caitlin Bracken; Mina Ekstrom; Angela Lin; Alexis McCauley-Pearl; Margot Supple (Sustainability Science, 2026)

Characteristics and driving factors of population age structure in China: A study based on the scale nesting theory - Kui Ying; Lin Ha; Liancheng Duan; Jinhong Ding (Journal of Geographical Sciences, 2026)

Investigating multi-scale associations and thresholds between eco-environment quality and urban landscape patterns: A case from coastal China - Linsheng Wen; Manuel Esperon-Rodriguez; Yun Peng; Aifang Weng; Yunrui Zhou; Sunbowen Zhang; Baoyin Li; Yuying Lin (Journal of Geographical Sciences, 2026)

Tectonic–sedimentary evolution of the Sinian-Cambrian Deyang–Anyue depression in the Sichuan Basin and its hydrocarbon geological significance - Lei Tan; Weihao Zhao; Gang Zhou; Feng Liang; Lin Qiao; Hong Liu; Minxing Li; Kun Zhang; Mengxiang Yang (Facies, 2026)

The micro-arms race between nematophagous fungi and nematodes - Tzu-Hsiang Lin; Yi-Yun Lee; Yen-Ping Hsueh (BIOspektrum, 2026)
We explore the evolutionary arms race between the nematode Caenorhabditis elegans and two fungal predators: the adhesive-trapper Arthrobotrys oligospora and the toxin-producer Pleurotus ostreatus . By dissecting the molecular mechanisms of fungal trapping and paralysis alongside nematode defensive strategies, these genetically tractable models provide deep insights into predator-prey co-evolution and illuminate the potential for fungal-based biocontrol of parasitic nematodes.

Changes of soil nematode communities affect the soil labile phosphorus under nitrogen addition in Pinus taiwanensis forests - Chenxing Lian; Qiufang Zhang; Xiaoqing Zhang; Mengli Liu; Quanxin Zeng; Yaping Lin; Jiaohong Lu; Hao Sun; Huizhi Pi; Mengxiao Ren; Xiaochun Yuan; Juyan Cui; et al. (Applied Soil Ecology, 2026)

Influences and underlying mechanisms of substituting chemical nitrogen fertilizer with different organic amendments on soil nitrogen mineralization in red soil - Jiajun Lin; Yun Chen; Jiajun Lai; Jiying Peng; Xiaolong Wang (Applied Soil Ecology, 2026)

Intercropping enhances soil organic carbon accumulation by modulating microbial interactions in saline-alkali soils - Lijun Zhang; Guixiang Zhou; Jiabao Zhang; Lin Chen; Congzhi Zhang; Donghao Ma; Hui Zhang; Jian Feng; Mingfeng Liu (Applied Soil Ecology, 2026)

Unraveling road-induced ecological disturbances through a cross-scale framework: Evidence from Wuhan, China - Jiayi Luo; Jinhai Li; Xuesong Kong; Feifei Lin (Applied Geography, 2026)

Oxygen-dependent corrosion kinetics of 15-15Ti steel in static lead–bismuth eutectic at 500°C - Shujian Tian; Jun Liu; Zhen Zhang; Lin Luo; Zhizhong Jiang; Jing Liu; Zhitao Xu; Zunqi Xiao (Annals of Nuclear Energy, 2026)

Cadmium exposure accelerates ovarian aging in broiler breeders through oxidative stress and inflammation - Peng Xu; Tong Xing; Lin Zhang; Liang Zhao; Feng Gao (Animal Reproduction Science, 2026)

The combination of Astragalus membranaceus and Lycium barbarum polysaccharides is superior to either alone in enhancing growth and health of grass carp (Ctenopharyngodon idellus) - Wei Zhang; Lin Ma; Yi-Geng Meng; Ke-Ming Liu; Hong-Qing Sun; Chao Cai; Ming-Ze Li; Yuan-Yuan Dai; Wen-Wen Li; Xin Luo; Nan Li (Animal Feed Science and Technology, 2026)

Environmental microbial bioprospecting enabled by a Raman fingerprinting and functional sorting on a microfluidic static droplet array - Guoxia Zheng; Yanwen Liu; Huicheng Chen; Ling Lu; Lin Wang; Tingting Jia; Yunhua Wang (Analytica Chimica Acta, 2026)

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

Microbial metabolism regulates the stabilization of rhizodeposition-derived carbon in soil aggregates and mineral fractions under long-term tillage - Wen-Sheng Liu; Ben-Shun Liu; Zi-Ang Wang; Yong-Qiang Xu; Xin Zhao; Yash Pal Dang; Hai-Lin Zhang (Agriculture, Ecosystems & Environment, 2026)

Vegetation in Central Asia is more sensitive to soil moisture stress than to precipitation and vapor pressure deficit stresses - Hongwu Liang; Guli Jiapaer; Cun Chang; Tao Yu; Liancheng Zhang; Pingping Feng; Kaixiong Lin; Tongwei Ju; Xiapeng Jiang; Philippe De Maeyer; Tim Van de Voorde (Agricultural and Forest Meteorology, 2026)

Climate variability, tree diversity and stand structure jointly regulate biomass carbon dynamics in two subtropical forest stands representing contrasting successional stages in eastern China - Lin Xu; Hongfeng Ruan; Mengping Tang; Yongjun Shi; Guomo Zhou (Agricultural and Forest Meteorology, 2026)

Litter inputs reshape soil respiration partitioning in subalpine forests: Pivotal role of microbial gene abundance and root-microbe interactions - Yuxiao Kuang; Jia Xiong; Linhui Zhang; Genxu Wang; Zhaoyong Hu; Wenzhi Wang; Juying Sun; Ruiying Chang; Xiangyang Sun; Yuanyuan Su; Shan Lin; Hailong Sun; et al. (Agricultural and Forest Meteorology, 2026)

GNSS autonomous navigation in Earth-Moon Lagrange L3,L4 and L5 orbits considering side-lobe signals - Yu Liu; Baojun Lin; Xia Lin; Shujie Zeng; Mingyuan Zhang (Advances in Space Research, 2026)

A segment-based approach for global vertical adjustment of precipitable water vapor - Maijin Lin; Shaofeng Xie; Liangke Huang; Yifei Yang; Xiangping Chen; Xianghong Li; Weiwei Li; Lilong Liu (Advances in Space Research, 2026)

Safe reinforcement learning for aerospace control via model-relaxed lyapunov stability - Donghe Chen; Jiaxuan Yue; Tengjie Zheng; Lin Cheng; Shengping Gong (Advances in Space Research, 2026)

The impact of transgression on the development model of lacustrine source rocks: Insights from the Upper Cretaceous Qingshankou Formation source rocks in the Songliao Basin - Cheng Wu; Lin Chen; Zongsheng Lu; Jiaxin Yan; Kening Lu (Cretaceous Research, 2026)

Introducing Double-Moment Warm Rain Physics into the Goddard 4ICE Microphysics Scheme - Kao-Shen Chung; Yu-Jyun Liou; Cheng-Rong You; Zhao-Cheng Zeng; Pay-Liam Lin; Donghai Wang; Wei-Kuo Tao; Stephen Lang; Takamichi Iguchi; Adrian Loftus; Jiun-Dar Chern (Asia-Pacific Journal of Atmospheric Sciences, 2026)
In this study, a new double-moment warm rain Goddard 4ICE scheme (GCEDM) is developed based on the Goddard 4ICE single-moment (GCESM) scheme and then tested using idealized 2D squall line and 3D supercell simulations. The addition of the total number concentrations for cloud water ( $$\:N_{TC}$$ ) and rainwater ( $$\:N_{TR}$$ ) enables this new scheme to simulate more diverse raindrop size distributions, making it more realistic. GCEDM has similar overall thermal and dynamic characteristics to GCESM but produces higher evaporation rates, predicted particle number concentrations, and mass mixing ratios than GCESM, leading to stronger cold pools than with GCESM. In addition, comparisons are made versus the Weather Research and Forecasting Model Double-Moment Microphysics 7-class scheme (WDM7), which was also improved from a single-moment 4-class ice scheme to a double-moment warm-rain scheme. WDM7 also shows a stronger cold pool, but the system characteristics and microphysical processes are quite different from the single-moment version of this scheme.

Building trust in the integration of artificial intelligence into chemical risk assessment: findings from the 2024 ECETOC workshop - Timothy W. Gant; Alistair Boxall; Daniel Burgwinkel; Maryam Zare Jeddi; Ivo Djidrovski; Steffi Friedrichs; Barry Hardy; Thomas Hartung; Daniela Holland; Andreas Karwath; Anne Kienhuis; Nicole Kleinstreuer; et al. (Archives of Toxicology, 2026)
Artificial Intelligence (AI) is increasingly influencing chemical risk assessment, enabling faster, more comprehensive, and potentially more ethical assessments. The application of AI in chemical risk assessment refers to both generative and predictive algorithms encompassing machine learning, to analyse complex chemical, biological, and environmental data and provide insights into adverse effect potential for humans and ecosystems. AI systems support the prediction of chemical hazards, exposure levels, and adverse effects by learning from experimental results, mechanistic models, and regulatory datasets, thereby enhancing the efficiency of safety evaluations. In October 2024, ECETOC held an international workshop, with experts from academia, industry, and regulatory bodies, to reflect upon the historical challenges in integrating multidimensional omics technologies into chemical regulation and explore the current capabilities and future potential of AI in toxicology and regulatory science. Discussions emphasised that implementation of Findable, Accessible, Interoperable, and Reusable (FAIR) data principles is not just a best practice but rather a prerequisite for building transparent, reliable, and unbiased AI systems. The reliability of AI in producing scientifically valid and socially responsible outcomes depends fundamentally on the availability of FAIR data. However, ensuring trustworthiness also requires robust governance frameworks that go beyond data and human oversight. Critical enablers of responsible AI in chemical risk assessment are rigorous governance, explainability, fit-for-purpose applications, and human oversight. ECETOC supports the development of flexible and iterative frameworks advancing development, validation, transparency, accountability, and trust in AI applications in chemicals regulation.

Deciphering osmotic stress responses: a comparative analysis of mechanisms in Gram-positive and Gram-negative bacteria - Jun Liu; Zhigao Liao; Ling Chen; Zhiyu Hu; Xianhao Ouyang; Hong Huang; Yanan Niu; Jin Lin; Jiaxin Chen; Zhengyuan Hu; Chengbin Zhu; Peng Liu; et al. (Archives of Microbiology, 2026)

Extracellular vesicles from biofilm and planktonic Pseudomonas aeruginosa: proteomic profiles, iron chelation and functional Implications - Zhen-Zhen Su; Yihan Hou; Jing-Jing Lin; Yi-Fang Duan; Alex Ujong Obeten; Sijun Dong; Qiansheng Huang; Haining Huang; Zhizhen Pan (Archives of Microbiology, 2026)

Dynamic ecosystems of tumor drug resistance mechanisms: from molecular heterogeneity to systemic interventions - Qiaohong Bao; Hang Chen; Jiali Wu; Yahui Wang; Xinmei Chen; Zhizhe Lin; Youfa Xu; Jianming Chen (Apoptosis, 2026)

Gut microbiota-tryptophan-serotonin axis drives anxiety-like behavior via NLRP3-mediated neuronal pyroptosis in the medial prefrontal cortex - Guiqiang Zhou; Xing Wang; Tongzhou Qin; Ling Guo; Jiajin Lin; Zhaowen Zhang; Peng Gao; Yan Zhou; Wei He; Jing Li; Guirong Ding (Apoptosis, 2026)

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

QD394 induces ferroptosis and suppresses the proliferation of colorectal cancer via the SP1/JNK pathway - Ruixue Zhang; Haiyan Quan; Wenjing Xiao; Zhenhua Lin; Aihua Jin (Apoptosis, 2026)

Cloning, heterologous expression, and characterization of a metagenome-derived GH10 xylanase with salt and alkali tolerance from Xinjiang saline-alkali soil - Jing Gao; Hua-Lin Li; Mao-Song Li; Zong-Jin Shao; Zheng-Feng Yang; Chan-Jin Li; Zhi-Xin Zhang; Dan Zhu; Zhi-Hua Lv; Rong-Huan Song; Jian-Ling Li; Wei Hu; et al. (Antonie van Leeuwenhoek, 2026)

Diversity and antimicrobial products of culturable coral-associated actinomycetes in Hainan - Caolong Zhang; FenFa Li; Yongrui Lin; Xiaolong Huang; Shuangqing Zhou (Antonie van Leeuwenhoek, 2026)

Research on the application of nanopore sequencing technology in investigating microbial data deviation - Xiaoling Zheng; Hongxia Yang; Wanzi Gong; Shiyu Wang; Yinhuan Wang; Deyin Deng; Tingzhang Wang; Hong Li; Chenshui Lin (Antonie van Leeuwenhoek, 2026)

Impacts of Sea Salt on an Idealized Tropical Cyclone Simulation: Description of a Bulk Sea Salt Aerosol Microphysics Parameterization and Case Study - Xuancheng Liu; Lulin Xue; Sisi Chen; Lin Deng; Ruyan Chen (Advances in Atmospheric Sciences, 2026)

Global Teleconnections of Extreme Rainfall Events in the Yellow River Basin - Lin Cai; Naiming Yuan; Niklas Boers; Juergen Kurths (Advances in Atmospheric Sciences, 2026)

Quantitative research and implications on policy texts of China’s maritime strategic scientific and technological strength: an analysis based on the three-dimensional framework of “instrument–objective–actor” - Xiaoyu Cui; Wanglai Cui; Yiqian Ding; Cheng Lang; Yunjie Zhang; Xiaoxiao Lin (Frontiers in Marine Science, 2026)
This paper constructs a diamond model for expanding national strategic marine scientific and technological capabilities, establishes a three-dimensional analytical framework of “policy instruments—policy objectives—policy actors,” and conducts a quantitative analysis of 229 policy documents using Nvivo 12. The results indicate that existing policy instruments are inadequately aligned with major strategic needs, production factors, and policy objectives; there is an imbalance in the application of instruments and the distribution of actors; and the system exhibits significant institutional endogeneity. The root causes lie in the allocation of powers and responsibilities between the central and local governments and fragmented inter-departmental governance. Based on these findings, the following optimization directions are proposed: enhance the alignment between policy instruments and objectives, and strengthen demand-side incentives to boost supply; use objectives to guide improvements in the quality of factor supply, focusing on talent development and breakthroughs in core technologies; improve the coordination system among laws, regulations, and policies; and restructure the mechanisms for central-local authority allocation and inter-departmental coordination to address the problem of entrenched preferences in instrument selection at the institutional level.

Environmental factors shape the intestinal microbiota and function of Manila clam Ruditapes philippinarum - Bifu Gan; Guiling Li; Yanru Xu; Jingmiao Yang; Weilang Lin; Xiaobo Yan; Maozi Lin; Guangmao Ding; Fang Su; Qizhen Xiao (Frontiers in Marine Science, 2026)
Intestinal microbiota of aquatic animals is closely associated with the environment, influencing their health, immune defense, and environmental adaptability. To understand the relationships among the Manila clam ( Ruditapes philippinarum ) intestinal microbiota, the bacterial communities in their habitats, and environmental factors, as well as the characteristics and potential functions of the intestinal microbiota. This study systematically analyzed the bacterial communities in the clam intestines, seawater, and sediment samples from two typical habitats using 16S rRNA gene (V3-V4) sequencing. The results revealed significant differences in bacterial community composition among the intestines, seawater and sediment, with pronounced regional variations also evident within the same sample type. The clams gut microbiota in Fuqing was predominantly composed of Alphaproteobacteria , Gammaproteobacteria , Bacteroidota , Bacillota , and Cyanobacteria . In Putian, Cyanobacteria comprised an exceptionally high proportion. However, Bacillota , Bacteroidota , and Actinomycetota showed similar relative abundances in both regions, indicating a potential “core bacterial community”. Regarding the α-diversity of gut microbiota, although no significant differences were observed between clam samples from the two regions, their diversity was significantly lower than that of the sediment bacterial communities. The intestinal bacterial communities exhibited high similarity to the aquatic bacterial communities in terms of richness, diversity, and dominant species abundance, and it shares most of the ASVs with the sediment, suggesting that environmental microorganisms may serve as the primary source of the clam intestinal microbiota. Environmental drivers of bacterial communities differed regionally. In Fuqing, bacterial communities were associated with temperature, DO, pH, and salinity, and exhibited broader niche widths; in Putian, they were mainly influenced by nutrients, showing narrower niches. Compared to bacterial networks in the environment, the interactions among members within the gut bacterial communities of clams display modularity, indicative of functional specialization. The composition and functions of the intestinal microbiota of clams vary significantly in different environments, which may be a manifestation of their ecological adaptability. The composition and function of clam intestinal microbiota varied with environment, reflecting their ecological adaptability. These findings provide a scientific theoretical basis for water quality regulation and disease prevention in aquatic animal farming operations.

Host and Environmental Drivers of Gut Microbiome Variation in Wild Anolis Lizards - Yanileth F. López Tacoaman; Maria Alcivar; Karla Alujević; Leah Bakewell; John David Curlis; Anabarbara Gonzalez; Noah D. Gripshover; Samir Gulati; Renata M. Pirani; Noa Ratia; Daniel Romero; Kelly Lin Wuthrich; et al. (Molecular Ecology, 2026)
Animals maintain close associations with diverse microbiota that inhabit their digestive tracts, and these associations can profoundly affect host physiology and fitness. Gut microbiome composition is shaped by both host traits and environmental factors, yet the relative importance of these forces remains unclear in many taxa, including squamate reptiles (lizards and snakes). To address this gap, we analysed the gut microbiomes of seven species of Anolis lizards in the lowland tropical rainforest of central Panama. We sought to determine how environmental and host species characteristics shaped gut microbiome composition. Specifically, we examined (1) interspecific variation in the anole gut microbiome, (2) the relative roles of environment and host species in shaping gut microbiomes across two study locations, and (3) patterns of phylosymbiosis. We found that host‐related factors (species identity, body size, and phylogenetic distance) were significant predictors of the composition of Anolis gut microbiomes. However, environmental factors, including locality and year of sampling (associated with temperature, humidity, and precipitation), also exerted significant effects. We detected evidence of phylosymbiosis, but this pattern was moderate, possibly due to the strong effect of environmental variation. Our work contributes to the growing body of literature on lizard gut microbiomes by using comparative observations across habitats and species to identify the factors that shape these communities in the wild.

Structural and Functional Divergence of the Poecilia picta Sex Chromosomes - Joëlle Lafond; Yuying Lin; Lydia J. M. Fong; Judith E. Mank (Molecular Ecology, 2026)
Sex chromosome evolution has traditionally been viewed as a linear, time‐dependent process. However, numerous comparative studies across diverse taxa have revealed that homomorphy can persist over long evolutionary time scales. Similarly, recent reports of unexpectedly rapid Y chromosome degeneration, particularly in species with evolved X chromosome dosage compensation, suggest alternative evolutionary trajectories that challenge the assumption of gradual decay. However, the mechanisms and consequences of rapid Y chromosome degeneration remain unclear. The Poecilia genus presents a valuable comparative system to investigate these processes, particularly within a clade that shares a recent origin of XY sex chromosomes but exhibits striking variation in sex chromosome morphology. Here, we present a chromosome‐scale assembly of a male P. picta genome using PacBio HiFi reads and Omni‐C data to investigate the extent and consequences of rapid Y‐chromosome degeneration. We find that the Y chromosome is substantially smaller than the X (28.8 Mb vs. 32.6 Mb), contains fewer genes (470 vs. 985) and is heavily enriched in transposable elements, particularly autonomous Helitrons. This degeneration is accompanied by structural divergence and reduced synteny. Concurrently, we document gene traffic from the X chromosome to the autosomes, including male‐benefitting genes such as bbof1 and ssna1 , suggesting a compensatory response to hemizygosity. Together, these results demonstrate rapid structural and functional divergence of the sex chromosomes in P. picta and provide new insights into the dynamics of rapid sex chromosome differentiation.

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

Local forcing of summer marine heatwaves in China's northern and eastern seas: Shortwave radiation and wind stress - Jingjing He; Xiaopei Lin; Xianyao Chen; Weiwei Ma (Limnology and Oceanography, 2026)
During the summer (June–August), marine heatwaves (MHWs) frequently occur in China's northern and eastern seas, including the Bohai Sea, Yellow Sea, and northern East China Sea. As a prominent marine environmental concern, these events have garnered widespread societal attention. However, the predictive capacity for such events remains constrained, underscoring the urgent need to comprehensively unravel the physical mechanisms governing their occurrence. In this study, we employ the Regional Ocean Modeling System to explore the local forcing factors driving MHW genesis. Our results reveal that the formation of summer MHWs is jointly determined by surface net heat fluxes, oceanic advection, and vertical mixing, with their relative contributions varying significantly across geographical locations. The formation of summer MHWs is closely related to surface wind stress anomalies. Under the background of weakened wind forcing, the temperature rise during the heat accumulation phase of MHWs is primarily driven by increased solar radiation, reduced cloud cover, and shoaling of the mixed layer. The suppression of vertical mixing further enhances heat accumulation in regions with water depth exceeding 50 m. These findings advance our understanding of the formation mechanisms of summer MHWs in China's northern and eastern seas, while improving the predictive capacity for such events.

Molecular and optical signatures of labile dissolved organic matter during bloom senescence in the Amundsen Sea Polynya - Hui Lin; Qiang Hao; Wei Zhang; Zhenwei Yan; Hao Zhang; Ziming Fang; Yuan Gao; Yong Yu; Ding He (Limnology and Oceanography, 2026)
The Amundsen Sea Polynya (ASP) in the Southern Ocean serves as a potentially significant carbon sink, where phytoplankton blooms drive intense primary production and dissolved organic matter (DOM) cycling. This study focuses on DOM dynamics during the late‐summer bloom phase dominated by Phaeocystis antarctica . Despite the ASP's high productivity, DOM characteristics and their response to bloom senescence remain poorly resolved, limiting insights into carbon sequestration efficiency. We integrated absorbance and fluorescence spectroscopy with Fourier transform ion cyclotron resonance mass spectrometry to analyze seawater samples collected along transects in the ASP during austral summer 2022. Key findings include non‐exponential chromophoric DOM spectra with distinct shoulders at 270–290 nm (aromatic amino acids) and 300–350 nm (mycosporine‐like amino acids), elevated protein‐like fluorescent DOM components linked to P. antarctica degradation, and enrichment of labile, low‐molecular‐weight compounds ( −1 ) amid reduced chlorophyll a (3.81 ± 0.77 mg·m −3 ), indicating DOM release under iron‐replete, nitrate‐limited conditions. This work advances knowledge by identifying unique phytoplankton‐derived DOM signatures that challenge conventional optical metrics like spectral slopes in polar systems, highlighting autochthonous production over terrestrial inputs. Broader implications include improved predictions of carbon cycling in expanding polynyas under climate change, emphasizing reduced sequestration due to labile DOM remineralization and its vulnerability to warming‐induced shifts in Antarctic ecosystems.

Phenotypic divergence may facilitate co‐occurrence in Acanthopagrus species ( Family : Sparidae ) - Yu‐Jia Lin (Journal of Fish Biology, 2026)
Understanding why closely related species co‐occur is one fundamental question in ecology. The seabream genus Acanthopagrus Peters, 1855 (Sparidae) is broadly distributed across the Indo‐Pacific, with four species, A. arabicus and A. sheim (yellowfin group), and A. bifasciatus and A. catenula (doublebar group), coexisting in the Arabian/Persian Gulf. To investigate how phenotypic divergence facilitates coexistence, a comparative analysis of these four species was conducted across multiple morphological and life‐history traits. Differences in body shape, otolith mass and maximum age separated the two species groups, indicating divergence in morphology, auditory characteristics and life‐history strategies along the r – K continuum. Intra‐group variation was also significant. Divergent growth trajectories and dentition patterns between A. bifasciatus and A. catenula suggest dietary niche partitioning as a potential driver of speciation, while the differences in the monthly gonadosomatic index patterns between A. arabicus and A. sheim indicate the role of temporal reproductive isolation in their speciation. These findings advance our understanding of ecological and evolutionary divergence within Acanthopagrus , highlighting that phenotypic diversification may emerge at multiple nodes across the genus's phylogeny.

Proteome profile analysis reveals regulatory mechanisms in the liver of Carassius auratus under short‐term salinity stress (10‰, 48 h) - Rui Zhao; Muhan Meng; Xiaolian Liu; Shuang Hao; Xin Luo; Ning Wu; Lin Ma; Sun Hongqing; Hongzheng You (Journal of Fish Biology, 2026)
Carassius auratus , a commercially important species in the ornamental aquarium industry, is sensitive to salinity fluctuations. In this study, 30 C. auratus of length 13.1 ± 2.9 cm and weight 103.8 ± 40.8 g/fish were placed into six plastic tanks (80 L) with five fish per tank. About 15 fish were exposed to 10‰ salinity for 48 h, while another 15 fish were kept in freshwater and continuously aerated (0‰) as a control. To investigate the effects of short‐term salinity stress (10‰, 48 h), proteomic profiling of the liver was conducted. Short‐term salinity stress resulted in 104 upregulated and 95 downregulated proteins in the liver of C. auratus . Gene ontology enrichment analysis indicated significant enrichment in areas such as proteolysis, nitrogen compound transport, cellular component, peptidase activity, acting on L‐amino acid peptides, endopeptidase activity, serine‐type peptidase activity and enzyme inhibitor activity. Furthermore, the Kyoto Encyclopedia of Genes and Genomes enrichment analysis identified mitogen‐activated protein kinase kinase kinase 7 (MAP3K7) as an essential regulated protein in the IL‐17 signalling pathway and glutamine synthetase (GS) in the arginine biosynthesis pathway. These findings suggest that short‐term salinity stress induces significant proteomic changes in C. auratus , with functional enrichment in peptide metabolism and enzyme regulation. Notably, MAP3K7 and GS may play crucial roles in coping with short‐term salinity stress, providing new insights into the proteomic regulatory mechanisms of C. auratus under short‐term salinity stress.

Environmental Driving Factors for the Spatiotemporal Patterns of Fish Biodiversity and Fish Traits in Coastal China Seas - Li Lin; Yang Liu; Shan Li; Bin Kang (Journal of Biogeography, 2026)
Aim Global warming increasingly threatens marine fish, but environmental drivers of coastal fish biodiversity and fish trait responses to these drivers remain unclear, hindering understanding of biodiversity–environment relationships. This study disentangled direct/indirect effects of environmental factors on coastal China Seas fish communities and identified trait responses to these drivers. Location China Seas. Methods Piecewise structural equation modelling (pSEM) quantified direct/indirect environmental effects on fish communities; fourth‐corner analysis combined with RLQ identified trait responses to drivers. Results The direct and indirect effects of temperature on fish species richness were contrasting. The direct effect was negative (standardized coefficient: −0.29), which was associated with the adverse temporal impacts of global warming on biodiversity; the indirect effect was positive (value: 0.72), which explained the spatially higher biodiversity observed in warmer seas. Salinity, water depth and seafloor substrate were confirmed as important drivers of fish communities in marine systems, with effects linked to fish physiology (salinity), habitat availability (water depth, seafloor substrate) and feeding activities (seafloor substrate). Four key traits were identified as responsive to the environmental drivers: generation time, caudal peduncle throttling, pectoral fin size and food consumption to biomass ratio. The Bohai Sea and Yellow Sea were associated with fish having longer generation time, smaller caudal peduncle throttling, smaller pectoral fin size and lower food consumption to biomass ratio; the East China Sea showed intermediate trait characteristics; and the South China Sea exhibited trait patterns opposite to those of the Bohai Sea and Yellow Sea. Main Conclusions Contrasting temperature effects explain spatiotemporal fish biodiversity patterns. Northern coastal fish consistently have longer generation time, lower swimming capability and lower consumption ratio than southern fish. This work clarifies environment‐fish community causality and advances understanding of trait–environment associations.

The Evidence for Nekton Distribution Modulated by Plankton Abundance in the High Seas Area of Northwest Pacific During Summer Season - Na Zang; Dongming Lin; Yizhen Shan; Bilin Liu; Xinjun Chen (Fisheries Oceanography, 2026)
Deterministic biotic interactions and abiotic conditions define species distributions and abundance, with plankton underpinning food webs to spatially structure predator distributions through bottom‐up processes. However, characterizing the mechanism underlying species abundance formation in an oceanic system remains challenging. We applied piecewise structural equation models to examine plankton abundance and environmental conditions in nekton assembly, combined with joint species distribution models to investigate the distribution associations between nekton and plankton in the high‐seas area of northwest Pacific. Results revealed that nekton distribution (fish and squid) showed significant associations with plankton abundance, where zooplankton correlations markedly surpassed phytoplankton associations. The fluctuations of plankton abundance directly influence nekton abundance, whereas the effects of environmental conditions were mediated indirectly through effects on plankton. These findings affirm the primacy of plankton abundance in driving nekton distribution and advance understanding of how bottom‐up trophic pathways modulate nekton distribution dynamics in pelagic ecosystems.

Biodiversity, Distribution and Ecological Interactions of Algal‐Bacterial Biofilms in Wastewater Treatment Systems - Abigail Lin; Sayanti Ghosh; Marek Kirs; Zhiyue Wang (Environmental Microbiology, 2026)
Nutrient contamination from wastewater threatens aquatic ecosystems by promoting harmful algal blooms and creating hypoxic dead zones. In nutrient‐rich systems, algae uptake nitrogen and phosphorus while bacteria carry out nitrification and denitrification. Although algae and bacteria have been employed together to enhance nutrient removal processes in wastewater treatment systems, there is limited understanding of specific algal‐bacterial interactions, roles of macroalgae and biodiversity of non‐suspended microbes. In this study, next‐generation sequencing of the V4 region of 16S rRNA and the V8–V9 region of 18S rRNA was used to examine the biodiversity of biofilm communities at wastewater treatment plants and the influence of water quality and algal‐bacterial interactions on dominant microbes. Redundancy analysis revealed that the dominant algae genera strongly influenced by nitrogen and phosphorus content were Neochloris , Characiopodium , Ulva and Cladophora . Positive co‐occurrence was primarily observed between algae and plant growth‐promoting rhizobacteria (PGPR), namely Prototheca ‐ Blastopirellula and Cladophora ‐ Gordonia . Conversely, algae formed negative co‐occurrence relationships with both PGPR ( Characiopodium ‐ Pseudomonas , Neochloris ‐ Pseudomonas , Characiopodium ‐ Acinetobacter ) and gut microbes ( Neochloris ‐ Christensenellaceae R‐7, Ulva ‐ Christensenellaceae R‐7, Cladophora ‐ Christensenellaceae R‐7, Ulva ‐ Desulfovibrio ). These results highlight the significance of macroalgae in biofilm communities and suggest potential algae‐bacteria pairs for enhanced nutrient removal in on‐site wastewater treatment.

Impact of pyrite microscopic features on shale mechanical properties: a machine learning and simulation study - Xiaofan Mei; Shuheng Tang; Zhaodong Xi; Yapei Ye; Qian Zhang; Yang Chen; Donglin Lin; Xiongxiong Yang (Frontiers of Earth Science, 2026)

Analysis of Physical Driving Factors for Long-Term Evolution of Chlorophyll a Concentration in the South China Sea - Caiqin He; Guodong Ye; Chunqiao Lin; Xirui Xu; Hongbo Deng; Weiying Gong; Jianjun Xu; Lingli Fan (Journal of Marine Science and Engineering, 2026)
In the context of global warming, the South China Sea is showing an accelerating warming trend, which highlights the impact of climate change on the marine environment of the South China Sea. The interdecadal variation of chlorophyll a concentration (Chl_a) directly reflects the long-term evolution pattern of the upper marine ecological environment in the South China Sea and has significant indicative significance for marine ecological protection. This study investigated the relationships between Chl_a concentration, sea surface temperature (SST), shortwave radiation (SSRD), mixed layer depth (MLD), wind speed (Wind), and geostrophic current (ugo) in the South China Sea over the past 27 years. Statistical methods were used to analyze the differentiated impacts of marine environmental factors under different climate backgrounds on Chl_a concentration. From 1998 to 2007 (P1), there was a decreasing trend in the early stage, from 2007 to 2015 (P2), there was an upward trend in the middle period, and from 2015 to 2024 (P3), there was an upward trend in the recent period. During these three stages, SST and MLD were the core influencing factors. The threshold of SST gradually increased over time, reaching 27.05 °C, 27.24 °C, and 27.32 °C, respectively. The average normalized information flow (NIF) of Chl_a concentration changed from positive to negative. In the early stage of P1, the SST in most areas of the South China Sea was less than 27.05 °C, and in the P2 and P3 periods, the SST in most areas reached the threshold. The thresholds of MLD were 22.33 m, 21.64 m, and 33.68 m, respectively. The average NIF of Chl_a concentration was positive in all periods. The MLD in most areas of the South China Sea did not reach the threshold in all three periods. These findings emphasize the different roles of marine environmental factors in regulating Chl_a concentration in the South China Sea, providing a scientific basis for the ecological health monitoring of marine fishery areas, disaster warning, and adaptive management in response to climate warming.

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

Characterization of a new isolate of tomato zonate spot virus from Vaccinium uliginosum L. in China - Yueyan Yin; Tao Lin; Ru Dong; Zhijiao He; Jing Zhong; Liling Zhao; Jiawei He; Ming Ding; Tingting Li (Journal of Plant Pathology, 2026)

The Importance of Dynamic Mooring Analysis for Reliable Prediction of Suction Anchor Dynamic Response in Floating Offshore Wind Turbines - Shuang Liang; Yifeng Lin; Fayun Liang (Journal of Marine Science and Engineering, 2026)
Accurate prediction of the dynamic load-bearing characteristics of suction anchors is critical for the safety and reliability of floating offshore wind turbines. This study bridges the gap between mooring approaches and anchor foundation response assessment by systematically quantifying how the choice of mooring analysis method (dynamic or quasi-static) affects the predicted displacement response of suction anchors. Using OpenFAST coupled with a validated suction anchor dynamic response model (SADR), the motion responses of the suction anchor foundation for the OC4 semi-submersible platform are computed under regular waves of varying heights and periods, as well as irregular sea states representing operational and extreme conditions. The results reveal that the ratio of the anchor displacement predicted by dynamic mooring analysis to that predicted by quasi-static mooring analysis grows nonlinearly with increasing wave height and rises substantially as wave period lengthens, indicating that mooring dynamic effects become progressively more pronounced under large wave heights and long-period swell conditions. Statistical analysis under irregular waves further reveals that under moderate operational conditions, the response variability predicted by the two methods remains comparable; however, under extreme sea states, dynamic analysis yields not only larger peak displacements but also substantially greater response variability, with standard deviations significantly exceeding those obtained from quasi-static predictions. These findings provide quantitative evidence that the application of quasi-static mooring analysis to anchor foundation design carries a substantial risk of underestimating true responses, and that this underestimation becomes increasingly severe under high wave heights, long periods, and extreme conditions. The work establishes that dynamic mooring analysis is essential for reliable suction anchor foundations design and long-term serviceability assessment.

Quantitative Assessment of Inter-Borehole Competitive Interference on Effective Extraction Radius in Underground Coalbed Methane Extraction - Lin Wang; Shuhao Liang; Erlei Su; Xiangjun Chen; Lin Li; Yingjun Sun (Natural Resources Research, 2026)

The inflammatory–autophagy–NETs axis in renal fibrosis: mechanistic crosstalk and pathological feed-forward amplification loops - Haixu Chen; Yu Lin; Changying Guo; Feng Li (Molecular and Cellular Biochemistry, 2026)

Nuclear factor I-C as a novel candidate regulator in postoperative atrial fibrillation: integrated omics and proof-of-concept validation - Chaoyue Gao; Yue Shu; Lin Luo; Ningning Wang; Taiwei Wang; Zexinyao Ren; Pan Shen; Yisi Liu (Molecular and Cellular Biochemistry, 2026)

Secondary softening and short-term water quality impacts of dredged sludge-cake used as a substrate for submerged plant restoration: a field experiment - Yichao Wang; Naixi Lin; Yuxing Zhu; Wangxin Li; Xinyi Wang; Tao Sheng; Nuo Chen; Wei Zhu (Environmental Monitoring and Assessment, 2026)

AI-driven discovery of natural product-derived FAK1 inhibitors for idiopathic pulmonary fibrosis - Xing-Yi Chen; Mei-Hong Lu; Bin Li; Ya Zhou; Li Liu; Hao Yang; Qiu-Yu Wang; Lin Chang; Yu-Lan Zhao; Dong-Mei Wang; Bin Li; Ben-Rong Mu (Molecular Diversity, 2026)

Engineering strategies for the biosynthesis of rare sugars in microbial cell factories - Heming Xu; Ran Lu; Mei-Li Sun; Lu Lin; Kaifeng Wang; Xiao-Jun Ji (World Journal of Microbiology and Biotechnology, 2026)

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

Transportation carbon emission prediction based on improved long and short-term memory deep learning from the perspective of carbon emission efficiency - Lin Liu; Yuming Liu; Rong Zhao; Xizhen Xu (Environment, Development and Sustainability, 2026)

Deep Ensemble Learning and Mineralization-Based Data Augmentation for Mineral Prospectivity Mapping of Porphyry Copper in the Western Chagai Belt, Pakistan - Lujun Lin; Lei Liu; Hongrui Zhang; Yasir Shaheen Khalil; Jun Hong; Huishan Zhang (Natural Resources Research, 2026)

Levels of 129I in coastal Pacific Ocean waters from southern California, 2011–2020 and the legacy of Fukushima - A. J. Timothy Jull; Ching-Chih Chang; George S. Burr; Li Cheng; Joellen Russell; Mang Lin; Daniel R. Crocker; Mark Thiemens; Dana Biddulph; Marc W. Caffee; Tom Woodruff; Christopher Glynn; et al. (Frontiers in Marine Science, 2026)
The Fukushima Daiichi Nuclear Power Plant accident released radionuclides directly into the ocean as a result of the Great East Japan Earthquake on March 11, 2011. This material has been transported across the Pacific Ocean and detected in the northeastern Pacific. We began a surface ocean 129 I monitoring program a few months after this disaster in June 2011, with samples from Scripps Pier, La Jolla, California, USA, with the expectation that surface currents originating off the east coast of Japan could eventually carry radionuclides to the La Jolla site. We could not identify a significant distinct signal that can be traced to Fukushima from the record from 2011-2020. We have however recorded a systematic seasonal 129 I time series record that appears to be due to surface circulation variations along the California coast, or perhaps other unexplained effects. We have reported on some of these effects previously, where we summarized results up to 2018. Since then, we have analyzed additional samples obtained during our sampling program for 2018–2020 from Scripps and also report other results collected during 2015–2016 from Newport Beach, CA, which had not been reported. These results support and expand on the previously published dataset.

Deep-sea adaptation of sea cucumber Psychropotes sp.: new insights based on mitochondrial genomes - Boqiong Wu; Chao Zhang; Ruiyan Zhang; Qiang Lin; Yanhong Zhang (Journal of Oceanology and Limnology, 2026)

Sesn2 is Associated with Attenuated Muscle Atrophy and Altered Expression of Key Myogenic and Autophagy Markers in Mdx Mice - Zubiao Song; Qing Lin; Jiahui Liang; Juanjuan He; Weixi Zhang (Journal of Molecular Neuroscience, 2026)

Petrological and Geochemical Characteristics of the Lower Cambrian Shuijingtuo Formation in the Middle Yangtze Block, South China: Implications for Organic Matter Accumulation on Carbonate Platform - Baomin Zhang; Quansheng Cai; Guotao Zhang; Oumar Ibrahima Kane; Lin Chen; An Liu; Peng Zhou; Ruyue Wang (Journal of Marine Science and Engineering, 2026)
Understanding the development characteristics and controlling factors of organic-rich shales in carbonate platform settings is essential for predicting their distribution and assessing their natural gas exploration potential. However, the mechanisms governing the accumulation of such shales in these specific sedimentary environments remain poorly constrained, and the lack of integrated petrological and geochemical studies limits accurate evaluation of their resource potential. The key objective of this study is to investigate the development characteristics and formation mechanisms of organic-rich shales within intraplatform depressions. To address this objective, we conducted a comprehensive petrological and geochemical analysis of the Cambrian Shuijingtuo Formation organic-rich shale deposits deposited in a carbonate platform setting, particularly from Well EYY3 in Western Hubei, Central Yangtze region. The obtained results indicate that total organic carbon (TOC) contents in the Shuijingtuo Formation can reach up to 4.77%, with a thickness of approximately 9.5 m for shales containing over 2% TOC. Vertically, TOC content exhibits a rapid increase at the base, followed by a gradual decline toward the top, reflecting the evolution of depositional environments. The characteristics of organic-rich shale indicate a significant presence of carbonate minerals, which increase in concentration, alongside tuff lenticular bodies and lithological transition surfaces between tuff and shale. While the longitudinal variation of SiO2 content in shale is subtle, there is a slight increase in land-sourced clasts and excess silica, and TOC has a significant positive correlation. At the base of the Shuijingtuo Formation, redox parameters, including U-EF and Mo-EF, display a rapid increase followed by a gradual decrease. Conversely, changes in Ni-EF, which indicate paleoproductivity, are less pronounced, and their correlation with TOC is relatively poor. These findings suggest that rapid sea-level rise associated with Cambrian transgressions was the main factor influencing organic matter enrichment in the carbonate platform depressions. This rise supplied nutrients and silica-rich organisms, altering the biological landscape and fostering anoxic conditions in the intraplatform depressions, promoting organic-rich shale formation. As sea levels declined, water circulation became restricted, leading to oxidation of shallow water bodies, decreased paleoproductivity, and shale deposits transitioned to tuff. Therefore, organic-rich shale can also be developed on carbonate platforms, with its formation primarily controlled by fluctuations in sea level. During highstand periods, intraplatform depressions may serve as favorable zones for shale gas exploration.

Harnessing machine learning and multi-scale modeling to discover novel ALOX15 inhibitors from marine natural products - Xiyi Zheng; Xiaomin Lin; Jiahua Tao; Lianxiang Luo (Molecular Diversity, 2026)

Development of Two Multienzyme Isothermal Rapid Amplification Techniques for the Rapid Visual Detection of Micropterus salmoides rhabdovirus - Qingyue Xu; Yiping Lin; Yixia Ma; Zhantian Liao; Tao Li; Shuai Wang; Chunguo Liu; Zhan Luo; Qingqing Song; Shun Zhou; Yunji Xiu (Journal of Fish Diseases, 2026)
Largemouth bass ( Micropterus salmoides ) is an important freshwater‐cultured species in China. M. salmoides rhabdovirus (MSRV) is a devastating pathogen that causes high mortality (exceeding 90% in acute outbreaks) in largemouth bass fry, posing a severe threat to the global largemouth bass aquaculture industry. To address the urgent demand for rapid, on‐site MSRV detection, two multienzyme isothermal rapid amplification (MIRA)‐derived methods—multienzyme isothermal rapid amplification with fluorescence detection (MIRA‐FLU) and multienzyme isothermal rapid amplification with lateral flow dipstick (MIRA‐LFD)—were established and optimized targeting the conserved nucleoprotein (N) gene of MSRV. The performance of both methods was systematically evaluated, and their practical applicability was verified using clinical samples collected from diseased fish farms. The results demonstrated that both methods exhibited high sensitivity, with a detection limit of 9 copies/μL for the standard plasmid. Both detection methods demonstrated high specificity and showed no cross‐reactivity with other common aquatic viruses, indicating their high specificity for MSRV detection. MIRA‐FLU completed amplification within 25 min at 42°C, while MIRA‐LFD achieved amplification within 12 min at 37°C. MIRA‐FLU is used for real‐time fluorescent quantitative detection, whereas MIRA‐LFD enables visual, instrument‐free reading via lateral flow test strips. In comparative analyses of clinical samples, the diagnostic results of MIRA‐FLU and MIRA‐LFD were compared with those of the standard conventional PCR test and showed nearly 100% consistency. Therefore, our MIRA‐FLU and MIRA‐LFD detection methods demonstrate excellent specificity and sensitivity, providing two simple, rapid and reliable approaches for large‐scale field surveys of MSRV in resource‐limited settings.

Addition of PRG4 to Optimize the Anti-Adhesive Properties of Tissue Barrier Seprafilm® - Ava J. Marks; Khaled A. Elsaid; Ling X. Zhang; Timmy Lin; Janette Baird; Tannin A. Schmidt; Gregory D. Jay (Annals of Biomedical Engineering, 2026)

Two new C 19 -diterpenoid alkaloids from Delphinium potaninii var. bonvalotii - Li-Li Ye; Qiao Long; Ye Chang; Ting-Ting Li; Lin Chen; Shuai Huang; Xian-Li Zhou (Natural Product Research, 2026)

Three new terpenes with potential antibacterial and anti-COVID-19 activities from the stems of Eurya chinensis R. Br - Chen Liping; Lin Shaodan; Pan Yongchen; Huijun Liang; Chen Jiayan; Xin Lian; Li Guangying; Xiong Xiubi; Jie Yuan; Jiewei Wu (Natural Product Research, 2026)

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

The key to arsenic pollution remediation: engineering and functional effects of arsenic-resistant microorganisms - Wanting Wang; Lin Xu; Zixia Xu; Na Wang; Qiyu Gao (World Journal of Microbiology and Biotechnology, 2026)

Elastic least-squares reverse time migration with curvelet-domain and structural tensor regularization - Mingqian Wang; Bingshou He; Yuzhao Lin (Acta Geophysica, 2026)

Discovery and engineering of a new BvCas12a nuclease for mammalian genome editing and nucleic acid detection - Xuechun Shen; Lei Huang; Dan Wang; Chen Qi; Baitao Li; Chuan Liu; Ke Chen; Yuanqiang Zou; Liang Xiao; Yuan Jiang; Qiupeng Lin; Hongxia Lan; et al. (Science China Life Sciences, 2026)

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

Driving factors and performance evaluation of environmental regulation policy implementation: Evidence from provincial panel data in China - Zhen Lin; Bin Yang; Xiaoxu Peng (Environment, Development and Sustainability, 2026)

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

Integrated Transcriptomics and Machine Learning Reveal Lipid Metabolism Related Genes in Ischemic Stroke - Qiu-Lin Wang; Chang-Le Fang; Tian-Hao Bao; Rui-Ze Niu (Journal of Molecular Neuroscience, 2026)

Interpretable deep learning reveals spatiotemporal MRI features of brain aging that align with neurodegeneration - Nikhil N. Chaudhari; Owen M. Vega; Phoebe Imms; Jaron M. Kawamura; Nahian F. Chowdhury; Tamara Jafar; Andrei Irimia; Michael Weiner; Paul Aisen; Ronald Petersen; Clifford R. Jack; William Jagust; et al. (GeroScience, 2026)
Cortical thinning and atrophy are hallmarks of brain aging that have been characterized using magnetic resonance imaging (MRI). Brain aging involves many neuroanatomic features whose effects on brain structure remain unexplored. To address this challenge, we trained interpretable deep neural networks (DNNs) to estimate brain age (BA) from T 1 -weighted ( T 1 w) MRI. By identifying MRI features unapparent to humans, DNNs can find aging-related structural alterations above and beyond cortical thickness and atrophy. Using a novel approach to DNN interpretability, we mapped brain aging progression in 25,539 cognitively normal UK Biobank adults aged 45–83 years. Cortical aging is found to involve anatomic features becoming prominent during the 50s within frontolateral, mesolimbic, cuneal, and occipitotemporal regions. From these foci, aging-related features propagate to adjacent areas at rates peaking in the 60s. Cortical thinning and atrophy do not trend closely with neurodegeneration, but important DNN-identifiable anatomic features have spatiotemporal dynamics that match those of amyloid or tau. Our results challenge the assumption that MRI cannot map anatomic features trending with neurodegeneration. Interpretable DNNs can empower MRI to quantify anatomic aging as a process of spatial feature expansion from focal regions into nearby structures in the sequence of neurodegenerative pathology. Traditional morphometrics explain only ∼1% of variance in DNN-identifiable features, which clarifies why the former are insensitive to anatomic changes involving neurodegeneration. Our results conceptualize brain aging in the context of spatial and temporal parallels between anatomic senescence and neuropathology. These findings may help to map cognitively normal adults’ neurodegenerative anatomy even without PET measurements. Graphical Abstract

Dataset of China Kuroshio Extension Observatory (CKEO): Moored Buoy Observations in the Kuroshio–Oyashio Transition Zone - Zhaohui Chen; Yueqi Zhang; Ruichen Zhu; Zhongxiang Fan; Jia-Zhen Wang; Xin Ma; Guoqing Ren; Haiyuan Yang; Lixiao Xu; Xiaopei Lin; Lixin Wu (Advances in Atmospheric Sciences, 2026)
The Kuroshio–Oyashio Transition Zone (KOTZ) serves as a vital dynamic interface between the warm Kuroshio Extension and the cold Oyashio Current. However, severe sea conditions with strong ocean currents, winds and waves pose challenges for sustained in situ observations of both oceanic and atmospheric variables. This paper introduces the China Kuroshio Extension Observatory (CKEO), a moored observatory program designed for long-term observations in the KOTZ. We provide a dataset of meteorological and oceanographic properties, including sea surface wind, air temperature, atmospheric pressure, relative humidity, sea surface temperature, sea surface salinity, ocean currents in the upper 100 m, and temperature profile in the upper 500 m. The CKEO, which began operations in 2019, provides a continuous air–sea observational dataset of the KOTZ to the scientific community and advances the understanding of multiscale physical processes in this region.

Bidirectional gut-heart axis interactions in the context of predictive, preventive, and personalised medicine: a time-course analysis of comorbidity and mortality risk in a large population cohort - Meiling Cao; Di Liu; Haotian Wang; Cancan Li; Huapeng Lin; Lijuan Wu; Youxin Wang (EPMA Journal, 2026)

Metabolomic Profiling of Intestinal Contents in Rice Paddy-Cultured Eriocheir sinensis: Linking Gut Microbiota Composition with Metabolic Pathway Dynamics - Jinpeng Zhang; Yayu Wang; Yunxiao Yang; Hong Lin; Yuhong Yang; Dayan Hu (Fishes, 2026)
Rice–crab coculture, as China’s third-largest integrated farming model, is pivotal for sustainable Chinese mitten crab aquaculture. This study conducted untargeted metabolomics and 16S rRNA gene sequencing on gut contents of crabs from rice fields and ponds, integrating metabolic and microbial profiles. We aimed to reveal the chemical traits of rice-field Chinese mitten crab linked to gut microbiota, providing scientific guidance for optimizing culture practices and developing microbial additives. Both groups were dominated by the phyla Firmicutes, Proteobacteria, and Bacteroidota, but the phylum Bdellovibrionota was not detected in group R. A total of 1271 distinct amplicon sequence variants (ASVs) were identified, which were annotated to 649 genera. At the ASV level, the Chao1 index for the R group (197.12 ± 17.88) was notably lower compared to the P group (288.75 ± 30.59) (p

Regulation of EMT and cholangiocarcinoma metastasis by KIN17 through the mTOR signaling pathway - Yuxia Yang; Qianying Luo; Chuhong Huang; Xiaocong Lin; Lok Ting Chu; Qiuyan Li; Jinjing Tang; Tao Zeng (Molecular and Cellular Biochemistry, 2026)

Production and functional applications of fructooligosaccharides and their core bioactive components - Xueli Su; Yu Lin; Zhenglong Li; Wei Zeng; Xiaoqun Duan (World Journal of Microbiology and Biotechnology, 2026)

Development of an “Off-On” Fluorescence Sensing System Based on Nitrogen-Doped Carbon Quantum Dot/Fe³⁺ for Sensitive Detection of Cysteine - Lihao Jiang; Wenjie Dong; Yongjian Pan; Jianyuan Lin; Shancai Guo; Teng Wang; Fuhang Xu; Haili Wang; Chunjie Bai; Lihua Teng; Jianghua Chen (Journal of Fluorescence, 2026)

Gut Microbiota Composition and Predicted Functional Profiles of Fishes Along an Urbanization Gradient in Shanghai’s Suzhou River, China - Shuo Feng; Hua Xue; Xirong Lin; Ana Wu; Wenqiao Tang (Fishes, 2026)
Ongoing urbanization continuously reshapes water quality, habitat structure, and biological communities in river ecosystems; however, its impacts on host-associated microbial communities remain poorly documented. The fish gut microbiota, a critical interface between the aquatic environment and host physiology, is widely recognized as an integrative indicator of both environmental change and host ecological traits. This study established a continuous urbanization gradient along Shanghai’s Suzhou River, spanning from suburban areas through the outer and inner ring roads to the city center. Five common wild fish species (Coilia nasus, Hemiculter bleekeri, Culter alburnus, Acheilognathus macropterus, and Pseudorasbora parva) were collected, and their gut microbiota were characterized via high-throughput 16S rRNA gene sequencing. Significant variation in OTU richness, alpha diversity, and community structure was observed across urbanization gradients and among fish species. Principal coordinate analysis revealed that samples from suburban areas were structurally distinct from those collected in other zones, whereas inner-ring and urban-core areas exhibited substantial compositional overlap. Taxonomic analysis revealed that Firmicutes and Pseudomonadota dominated all samples; however, their relative abundances and genus-level composition varied considerably among fish species and across the urbanization gradient. PICRUSt-based functional prediction indicated that metabolic pathways predominated, particularly those involved in global and overview maps, carbohydrate metabolism, amino acid metabolism, energy metabolism, and metabolism of cofactors and vitamins. Collectively, these findings demonstrate that fish gut microbial communities exhibit spatial structuring along the urbanization gradient, with species-specific responses linked to ecological traits. This study provides valuable data on host-associated microbial communities in urban rivers and offers a reference for incorporating microbial indicators into urban water ecological assessments.

Impact of the Surface Roughness of Artificial Oyster Reefs on the Biofouling and Flow Characteristics Based on 3D Scanning Method - Yenan Mao; Shimeng Sun; Mingchen Lin; Hui Liang; Yanli Tang; Xinxin Wang (Journal of Marine Science and Engineering, 2026)
The complex surface architecture of natural oyster reefs is widely considered to promote biological attachment, yet the underlying mechanisms and the relevance to the design of artificial reefs are not fully understood. Here, we combined field experiments, 3D surface characterization, and numerical modelling to quantify how reef-like roughness regulates biofouling development and near-wall flow around artificial substrates. Surface morphological characteristics of natural oyster reefs were first obtained by 3D scanning and used to fabricate concrete panels with simulated rough textures, while traditional smooth concrete panels served as controls. The two types of panels were simultaneously deployed in the target sea area for a hanging-panel experiment. Samples were collected after 3, 6, 9, and 12 months to track changes in biofouling communities. At each sampling time, the panel surfaces were quantified by canopy roughness (RC), surface heterogeneity (σ), and fractal dimension (D), and these metrics were integrated into numerical simulations combined to resolve the flow field, turbulence kinetic, and near-wall shear stress around the colonized panels. The research results show that, after 12-month immersion, the mean thickness of the biofouling layer on rough and control panels reached 6.39 mm and 5.91 mm, respectively. Rough panels exhibited consistently higher RC and σ than controls, and these two parameters are strongly linearly correlated (R2=0.891). Numerical simulations reveal that increased RC enlarges the oyster settlement shear-stress window (OSSW), indicating more favorable hydrodynamic conditions for oyster settlement and growth on rough panels. Nevertheless, the hydrodynamic differences between the initial rough panels and control panels gradually diminish over time, suggesting that biological growth can progressively naturalize initially smooth substrates. These findings advance the mechanistic understanding of how small-scale roughness and biofouling co-evolve to shape oyster habitat quality and provide a quantitative basis for the eco-engineering design of artificial oyster reefs.

Multi-omics analysis provides genetic evidence for the involvement of cell adhesion pathway in the pathogenesis of biliary atresia - Rui Dong; Jinhang Zhu; Chunjing Ye; Fenglong Sun; Cong Huai; Wei Zhou; Jiajie Zhu; Xiaoqi Feng; Qiange Xiao; Deqian Chen; Yifan Yang; Ran Yang; et al. (Science China Life Sciences, 2026)

A Novel Approach for Estimating Peak-Strength Storage Strain Energy in Rockburst Proneness - Fengyun Wang; Rui Pan; Guojun Cai; Yi Cai; Kun Huang; Jian Lin (Rock Mechanics and Rock Engineering, 2026)

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

Generation and characterization of the Il11-Cre knock-in mouse - Xuetao Zhou; Zhongliang Xie; Wenjia Liu; Qingye Wang; Huisang Lin; Rongyu Li; Yiming Lang; Jun Chen; Xiao Yang; Yan Teng; Guan Yang (Transgenic Research, 2026)

Three-Dimensional Fast Marching Seismic Traveltime Computation Based on Coarse-Grid Interpolation - Yan-song Li; Jun-jie Yang; Xue-feng Gao; Hui Sun; Yun Long; Peng Lin; Song-da Ji; Hong-yong Ren; Rui Chen (Applied Geophysics, 2026)

The Study on the Application of Time-Lapse Double-Difference Tomography Theory in the 3D Velocity Structure Distribution of Tunnel Surrounding Rock - Hongyun Yang; Zhiming Zhang; Xiang Wang; Yifei Wu; Zhi Lin; Yong Li; Xiang Chen; Wanlin Feng; Chuandong Jiang (Rock Mechanics and Rock Engineering, 2026)

Agricultural net carbon sinks in Jiangxi Province: measurement, forecast and influencing factors - Xieqihua Liu; Yi Zhu; Chao Feng; Linjie Feng; Su Lin (Environment, Development and Sustainability, 2026)

Pricing mechanisms in marine ecological banks under dual objectives and multi-agents - Junjie Lin; Yifan Chen; Xiang Liu; Yan Wei; Qun Zhang; Yuanzhu Wei (Frontiers in Marine Science, 2026)
The marine ecological bank is an innovative market-oriented governance mechanism that can address information asymmetry and inefficient matching in marine ecological product markets. However, existing practices reveal constraints in marketization, with pricing mechanisms emerging as a critical yet under-investigated factor influencing the development of marine ecological banks. The present study fills this gap by examining the applicability of two-sided market pricing strategies in marine ecological bank systems. We examine the optimal pricing strategy of marine ecological banks using a modified Hotelling game model. Combining the three distinct pricing models of the existing platform, we construct a pricing model for marine ecological banks under three pricing strategies and numerically validate the model-derived results, which simultaneously optimize profit maximization and social welfare. We obtain three main findings. First, regardless of the adopted pricing approach, four main pricing elements—service costs, intra-network externalities, cross-network externalities, and transaction time—exert consistent effects on the pricing mechanisms for both buyers and sellers. Second, under a two-tier pricing structure, platforms can flexibly adjust registration and transaction fees to accommodate the heterogeneous service demands of different user groups. Third, regulatory authorities should align their oversight with the developmental characteristics of marine ecological banks and implement differentiated regulatory strategies tailored to different growth stages. This study enriches the application scenarios of two-sided market theory. Our findings provide clear guidance for the optimal pricing and operation of marine ecological banks, and offer a feasible path for their development.

The effects of ectomycorrhizal fungi inoculation on alleviating Cd stress in Pinus massoniana seedlings - Qian-Cai Lin; Ming Xu; Shan Wei; Qiu-Pu Yang; Jian Zhang (World Journal of Microbiology and Biotechnology, 2026)

Discovery of anti-glioblastoma natural products based on andrographolide derivatives: efficiently identifying potential multi-target and multifunctional molecules through the integration of in silico methods and experimental verification - Ya-Lin Li; Jun Mao; Xin-Yu Zhou; Duan-Na Zhang; Yu-Zhi Li; Zhi-Xing Cao; Ji-Xia Ren (Molecular Diversity, 2026)

Downregulation of miR-194-5p impairs cardiomyocyte proliferation and differentiation through targeting Fign in congenital heart disease - Peishan Liang; Guangli Ren; Jie Zhu; Tingting Zhou; Yahong Chen; Jiangang Lin; Yiqiong Zhang; Xiangmeng Qu (Molecular and Cellular Biochemistry, 2026)

Hybrid Offshore Wind Farm Wake Optimization with Multi-Type Wind Turbines - Chaoneng Huang; Zhichao Lin; Yuke Li; Jinghang Xie; Li Wang; Jian Yang; Dongran Song; Sifan Chen (Journal of Marine Science and Engineering, 2026)
Offshore wind power currently shows the trend of a larger wind turbine capacity and deep-sea wind farm sites. Traditional wind farms with single-type wind turbines can hardly accommodate the dual requirements of high-efficiency power generation and wake effect mitigation of wind farms. Moreover, the wind shear of fixed wind turbines and the platform motion of floating wind turbines result in insufficient adaptability to a hybrid wind farm with multi-type wind turbines. To address that issue, this paper takes offshore wind farms with a multi-type hybrid layout for wake optimization. Firstly, based on the wind shear model, the influence of hub height difference for fixed wind turbines is analyzed, and the platform motion of semi-submersible floating wind turbines is evaluated through MoorDyn. On this basis, the wake optimization strategy for maximizing the total power generation of a wind farm is proposed based on the Gaussian Curl Hybrid model, which realizes three-dimensional wake control by considering the hub height difference and floating platform motion of multi-type wind turbines. The case study demonstrates that the multi-type hybrid layout itself has inherent wake suppression and optimization potential. The fixed wind farm with a row–column hybrid layout achieves an average power generation efficiency of 65.25%, which is superior to the single-type layout. For the floating wind farm with an inner–outer hybrid layout, the displacement misalignment effect is significant, with a maximum offset of 21.66 m in surge and 10.32 m in sway, and the total power is increased by 6.87 MW. And a hierarchical wake control mode matching multi-type wind turbines is formed. It provides a novel wake regulation mechanism for the design and operation of hybrid offshore wind farms.

Linking historical vegetation changes to bamboo monodominance via multi-source remote sensing - Zijian Lin; Mingxing Zhou; Yan Zhou; Liyin Wang; Zuohang Wu; Dengqiu Li (International Journal of Remote Sensing, 2026)

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

Why does tropical cyclone Emeraude move along a small annular track? - Yaoyao Zhou; Lixiang Shen; Ziqiong Cheng; Lin Peng; Rufa’i Isyaku; Haibin Lü (Journal of Earth System Science, 2026)

Hydrodynamic Performance Assessment of a Hybrid Wave Energy Converter Array–Floating Breakwater System Under Irregular Waves - Hengming Zhang; Chusen Lin; Chengrong Wang; Xu Huang; Yifeng Yang; Binzhen Zhou; Yingyi Liu; Yuming Yuan (Journal of Marine Science and Engineering, 2026)
A hybrid system combining wave energy converters (WECs) and a floating breakwater presents significant potential for developing commercial-scale wave power operations. The assessment of the hydrodynamic characteristics of a WEC array–floating breakwater system under irregular waves remains in the early stages and requires further investigation. Based on the linear potential theory, a time-domain numerical model is established to evaluate the performance of a hybrid WEC array–floating breakwater system in a target sea area. The interaction between the WECs and the floating breakwater is analyzed. Results show that for the hybrid system with a triangular-baffle-type WEC array under irregular waves, the annual average wave power is 1.16 MW and the annual energy production is 10.16 × 103 MW·h, representing a 241.2% improvement compared with that of the isolated WEC array. The standard deviations of the mooring forces for the hybrid system with the triangular-baffle-type WEC array are reduced by 13.8% in the surge direction and 26.9% in the pitch direction, while increasing by 90.0% in the heave direction. Similar conclusions are obtained for the motion of the floating breakwater. The findings and data reported in this study provide guidance for the engineering application of a hybrid WEC array–floating breakwater system.

Susceptibility to eight common chemical insecticides in Helicoverpa zea populations from the southern United States - Bhavana Patla; Tiago Silva; Shucong Lin; Graham P. Head; Francis P.F. Reay-Jones; Xinzhi Ni; Lina Bernaola; Sebe Brown; Don Cook; James Villegas; Jeffrey A. Davis; Fangneng Huang (Crop Protection, 2026)

Spatial-temporal patterns and drivers of coastal water quality dynamics: Insights from explainable machine learning and PLS-SEM analysis in Xiamen Bay, China - Aynuddin; Yao Chen; Jielong Xu; Juanjuan Lin; Qingsheng Li; Jinliang Huang (Marine Pollution Bulletin, 2026)

Ellobiid snail loss in seawall-fronted mangroves - Yijuan Deng; Lin Zhang; Wenqing Wang; Longlong Du; Mao Wang (Marine Pollution Bulletin, 2026)

Numerical modeling of dissolved mercury dynamics and transformation in sea water in Minamata Bay, Japan - Jiahao Wang; Lin Hao; Akito Matsuyama; Shinichiro Yano (Marine Pollution Bulletin, 2026)

Vibrio sinaloensis NH-7 induces yellow-spot and rough-shell syndrome in Porphyra sensu lato (Bangiales, Rhodophyta) - Jiaxia Lv; Qiqin Liu; Xinwei Wang; Caihua Lin; Yangyin Mao; Xianming Tang; Juanjuan Chen; Haimin Chen; Rui Yang (Aquaculture, 2026)

Density-dependent effects of net-chasing training on aggression, stress, and metabolic load in the freshwater prawn Macrobrachium rosenbergii - Jiangtao Li; Jiale Zhou; Zhongjie You; Zheng Xiao; Licheng Zeng; Li Lin; Xiaojing Lv (Aquaculture, 2026)

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

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

Myo-inositol-mediated efferocytosis promotes lysosomal function and ROS clearance related to the pentose phosphate pathway in fish muscle - Meiqi Wang; Lin Feng; Pei Wu; Yang Liu; Hongyun Zhang; Yaobin Ma; Hongmei Ren; Xiaowan Jin; Xiaoqiu Zhou; Weidan Jiang (Aquaculture, 2026)

The cNED framework: modeling core microbial communities and metabolic functions with SHAP-interpretable environmental thresholds in large rivers - Lunhui Lu; Xingqian Jian; Shanshan Lin; Zhe Li; Qiong Tang; Yan Xiao; Yuanyuan Zhang; Dianchang Wang (Water Research, 2026)

Nitrogen-removal collapse and recovery: Integrative meta-omics insights into seasonal microbiome dynamics and cold-adaptive mechanisms in a full-scale activated sludge system - Limin Lin; Xinyu Zhu; Xiaoxing Lin; Ze Zhao; Hui Wang; Huizhen Yan; Feng Ju (Water Research, 2026)

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

Electroplating parks as hidden sources of novel plastic additives: Occurrence, migration pathways, and ecological risks - Zi-Tong Li; Zecong Ding; Yingjie Chen; Kai Cui; Li Wang; Hai-Yan Zhang; Qian Jiang; Li-Qian Lin; Jian-Liang Zhao (Water Research, 2026)

Data-driven assessment of nitrogen and phosphorus buffering capacity across 460 Chinese watersheds: Spatial patterns, drivers, and future projections - Yunfei Cao; He Yao; Chuang Zhang; Chaojun Gu; Lin Yang; Rui Hao; Xiao Li; Zhen Wang; Haibing Xiao; Jian Wang; Zhihua Shi (Water Research, 2026)

Global inland waters trophic status from space observation: scientific advances and future challenges - Lili Lyu; Pierre-Andre Jacinthe; Nan Lin; Dongmei Lyu; Ge Liu; Sijia Li; Chong Fang; Hui Tao; Hao Yu; Zuchuan Li; Kaishan Song (Water Research, 2026)

Pyrite addition drives sulfur cycling for efficient sulfamethoxazole removal and detoxification in sulfur-based constructed wetlands - Sihan Zhang; Jiaxing Lu; Lin-lan Zhuang; Huacheng Xu; Guoqiang Wang; Mingde Ji; Qiang Kong; Zhen Hu; Jian Zhang (Water Research, 2026)

Targeted enhancement of ammonia assimilation and microbial community metabolic synergy in chicken manure aerobic composting mediated by tricarboxylic acid cycle modulators - Lin Zhu; Caihong Huang; Yu Tian; Wei Zuo; Guangchun Shan (Waste Management, 2026)