Unraveling the molecular evolution and immune functions of Lr-CD40 in Lethenteron reissneri - Liang Zhao; Zihao Yan; Mingwei Du; Xiaoping Song; Xianhui Li; Ya Pang; Ding Li; Guoxiu Ma; Yuetong Zhao; Feng Sun; Yinglun Han (Fish Physiology and Biochemistry, 2026)

Paradigm shifts in achieving global food security: toward a resilient and sustainable future - Shaokun Li; Jialu Xu; Huaqing Wu; Jichong Han; Huimin Zhuang; Zongliang Zhang; Xinyu Wu; Zhao Zhang (Food Security, 2026)

Effects of lumbar disc injury and nociception on trunk motor control during rat locomotion - Fangxin Xiao; Wendy Noort; Jia Han; Jaap H. van Dieën; Huub Maas (Experimental Brain Research, 2026)
Intervertebral disc (IVD) injury is a major cause of low-back pain and can lead to structural deficits and mechanical instability. When the IVD is compromised, neuromuscular compensation by paraspinal muscles, such as the multifidus (MF) and longissimus (ML), is critical for maintaining spine stability. However, it is unknown how IVD injury and its interaction with nociception affect neuromuscular control. This study assessed the effects of IVD injury and additional muscle-derived nociception on trunk motor control during locomotion in a rat model. IVD injury was induced via needle puncture at L4/L5. One week later, hypertonic saline was injected into the lumbar MF to induce nociception. Trunk and pelvic kinematics, bilateral EMG activity of MF and ML were recorded during treadmill locomotion at baseline, one week after IVD injury, and immediately following hypertonic saline injection. Trunk and pelvic kinematics and bilateral muscle activation patterns remained largely consistent across conditions. No significant changes were found in stride duration, pelvic, lumbar and spine angle changes, variability, or movement asymmetry. MF activation was bilaterally synchronized, whereas ML showed left-right alternating activation patterns. Following IVD injury, right MF mean activation and EMG variability increased significantly compared to baseline. When muscle-derived nociception was added in the unstable spine (IVD injury) condition, left MF minimum amplitude was significantly reduced, and instability-related increases in right MF mean activation and variability were attenuated, but not fully reversed. These findings suggest that single-level IVD injury, alone or in combination with muscle-derived nociception, elicits localized neuromuscular adaptations without disrupting the global locomotor patterns.

Exercise attenuates cisplatin-induced anorexia-cachexia via modulation of hypothalamic inflammation and orexigenic signaling - Se Hwan Park; Jeong Rim Ko; Chang Shin Yoon; Nam Mi Park; Maria Victoria Faith V. Garcia; Hyung Kyu Kim; Jin Han (European Journal of Applied Physiology, 2026)

Caffeinated chewing gum improves military performances in special forces soldiers - Yi-Jie Shiu; Che-Hsiu Chen; Hung-Yu Lin; Chia-Cheng Yang; Chi-Wen Yen; Han-Yuan Chang; Hsuan-Ta Chen; Chih-Hui Chiu (European Journal of Applied Physiology, 2026)

Exploring root-mediated Erwinia amylovora invasion mechanism in Korla fragrant pear (Pyrus sinkiangensis) - Lili Han; Yue Sun; Xin Deng; Jiehua Wang; Feng Zhang; Weimin Chen; Rong Lei (European Journal of Plant Pathology, 2026)

Modern human dental enamel as a biomineral baseline for rare earth elements and yttrium in urban Nanjing, China - Xiaoyu Hu; Lisheng Zhao; Ziyang Ding; Xi Gao; Di Wang; Wenqian Sun; Biao Zhu; Guilin Han (Environmental Geochemistry and Health, 2026)

Priority control of potentially toxic elements in urban park soils through integrated source apportionment and health risk assessment - Xiangtian Man; Jian Sun; Xingnian Ren; Mengli Chen; Cheng Yang; Ruxin Yang; Ailian Li; Junfang Cui; Han Zhang (Environmental Geochemistry and Health, 2026)

Accuracy evaluation of image velocimetry methods for river surface flow measurement using satellite video - Xiaolin Han; Qiang Zhong; Jinghong Deng; Yi Xiao; Fujun Wang (Environmental Fluid Mechanics, 2026)

DPA-MSCL: A multi-scale supervised contrastive learning method based on dynamic prototype alignment for lithology identification - Xianshan Li; Saiwei Sun; Yao Wang; Ning Shi; Pengwei Zhang; Chao Han; Yurun Shao; Hongjia Ren; Fangfang Pan; Fengda Zhao (Earth Science Informatics, 2026)

Single-BDS GNSS-R water surface altimetry and performance analysis - Peiyuan Wang; Junqiang Han; Fang Cheng; Pengfei Zhang; Xiaolei Wang; Rui Tu; Weisheng Wang; Majid Gulayozov; Yaoming Li; Xiaochun Lu (Earth Science Informatics, 2026)

Adenosine and guanosine-based oligonucleotides-loaded PLGA nanoparticles attenuates progression of surgically induced osteoarthritis - Yoonhee Kim; Jin Han; Ji Young Park; Seungwoo Han (Drug Delivery and Translational Research, 2026)
Osteoarthritis (OA) is a chronic degenerative joint disease that lacks effective therapies to halt its progression. While endogenous purinergic signaling—particularly via adenosine—shows promise for reducing inflammation, it is limited by short half-life and off-target effects. To address these limitations, we developed an optimal anti-inflammatory adenosine-guanosine-based oligonucleotide encapsulated in poly(lactic-co-glycolic) acid (PLGA)-based nanoparticles (NanoOligo) to enhance in vivo stability and investigated its impact on surgically induced OA models and the underlying mechanisms responsible for its anabolic effects. A large oligonucleotide library (482 unique 10- to 20-mer sequences) was screened in RAW264.7 macrophages under LPS-induced inflammation to identify the most potent candidate, which was then encapsulated into PLGA nanoparticles using a microfluidic system. NanoOligo significantly protected against cartilage degeneration and alleviated pain behaviors in the rat ACLT + pMx model following intra-articular administration. In IL-1β–treated chondrocytes, it markedly suppressed inflammatory cytokines (TNFα, IL-6) and catabolic proteases (MMP-3, MMP-13, ADAMTS5). Mechanistically, NanoOligo’s anti-catabolic effects were dependent on A1R and A2AR, leading to activation of the PKA–CREB axis and suppression of p38 MAPK signaling, which in turn reduced oxidative stress and cellular senescence via upregulation of the Sirt1–Nrf2–HO-1 antioxidant pathway. Collectively, these findings support joint-localized purinergic modulation as a potential therapeutic target for OA treatment, aligning structural protection with improvements in pain-related behaviors. Graphical abstract Schematic of the proposed mechanism of action for the adenosine–guanosine-based oligonucleotide, via the A1R- and A2AR-mediated PKA–CREB axis and Sirt1–Nrf2–HO-1 pathway. The oligonucleotide is thought to release adenosine (Ad) and guanosine (Gu) moieties that bind to A1R and A2AR on the cell surface. Receptor activation increases intracellular cAMP levels, thereby stimulating PKA. Subsequently, the Sirt1–Nrf2–HO-1 and CREB antioxidant pathways are activated, reducing ROS levels. This decline in ROS feeds back to prematurely terminate p38 MAPK activation, a key driver of catabolic processes in OA. As a result, MMP-13 expression is diminished, ultimately preserving extracellular matrix integrity.

Egg Disease in Spodoptera litura (Fabricius) Caused by Aspergillus ochraceus and Its Metabolic Phenotype - Wen-Jie Lei; Yan Zhao; Qin-Ye Zhang; Hao-Jun Wang; Xiang-Li Dong; Jian-Yu Meng; Liu-Ti Cai; Hui-Zi Wu; Han-Cheng Wang (Current Microbiology, 2026)

FSCNet: a frequency–spatial collaborative enhanced image super-resolution network - Yubo Zhang; Juanjuan Geng; Wanying Zhao; Shaojuan Yan; Kaijia Cui; Junhao Bi; Chao Han; Yingjie Yuan (Computational Geosciences, 2026)

Numerical oscillations and minimum time-step size in coupled thermo-hydro-mechanical finite element analysis of saturated porous media - Libing Han; Wentao Li; Changfu Wei (Computational Geosciences, 2026)

I’m trying to read here! How does irrelevant speech affect how you read? - Han Zhang; Kevin F. Miller (Cognitive Processing, 2026)
Reading involves a remarkable coordination of perceptual and linguistic processes. This coordination is reflected by a close coupling between reading eye movements and lexical properties of words, such as word frequency and predictability, as well as morpho-syntactic and semantic regularities. Yet, reading is also subject to interference, and a common source of interference is when others are speaking nearby. Then, how does irrelevant speech affect reading as reflected in eye movements? Fifty-nine participants (mean age: 19, SD age: 1.22, 25 females, 34 males, primary language: English) read passages from the PROVO corpus Luke and Christianson (Behav Res Methods 50(2):826–833. https://doi.org/10.3758/s13428-017-0908-4 , 2018) under intelligible irrelevant speech or the silence condition, with eye movements recorded. We investigated how irrelevant speech influences the coupling between eye movements and several indicators of lexical difficulty, including word frequency, cloze probability (exact-word predictability), large language model-generated surprisal, morpho-syntactic predictability (part-of-speech and inflection), and semantic similarity (general meaning). Associations between lexical variables and word looking times remained robust during first-pass reading and were unaffected by irrelevant speech, suggesting intact lexical processing during early stages of reading. However, disruption emerged in later eye-movement measures (i.e., total viewing time), where low-frequency and semantically unpredictable words prompted increased re-reading under irrelevant speech. These results indicate that intelligible irrelevant speech selectively interferes with post-lexical, higher-order processing. The increased re-reading of rare and semantically unpredictable words suggests that readers compensate for speech interference by revisiting these words to better integrate their meanings into a coherent understanding of the text.

Training structure matters: effects of simultaneous versus separate gait-cognitive training on executive function and dual-task interference in chronic stroke - Byumsuk Han (Cognitive Processing, 2026)

The role of rurality and area-level disadvantage in lifestyle risk factors and psychological well-being among cancer survivors: findings from the 2021 NCI HINTS-SEER - Anita M. Kumar; Carrie A. Miller; Reyna Han; D. Jeremy Barsell; Joseph Boyle; Bernard F. Fuemmeler (Cancer Causes & Control, 2026)
Background Rural cancer survivors consistently experience poorer health outcomes than their urban counterparts, yet the interplay between rurality and area-level disadvantage remains understudied. This study examines how rural versus urban residence and neighborhood disadvantage relate to obesity, smoking, and psychological well-being among cancer survivors. Methods Data from 1,062 HINTS-SEER participants across three registries were analyzed. Logistic regression models estimated associations between area-level factors (Social Deprivation Index (SDI) and Areas of Persistent Poverty) and health outcomes, adjusting for individual sociodemographic factors. Analyses accounted for complex survey design using Taylor series linearization. Results Urban residents showed lower odds of obesity compared with their rural counterparts (OR: 0.69; 95% CI: 0.50–0.95). In stratified analyses, area-level social deprivation demonstrated smaller statistically significant associations. Higher deprivation was associated with increased odds of obesity among urban cancer survivors (OR: 1.01; 95% CI: 1.00–1.02) and increased depression/anxiety among rural survivors (OR: 1.02; 95% CI: 1.00–1.04). Across all models, individual-level socioeconomic factors (education, income) showed stronger, more consistent protective associations than area-level indicators. Conclusions and implications Area-level disadvantage was a contributor to rural cancer survivors’ psychological well-being. Individual socioeconomic status remains the dominant determinant of lifestyle and mental health outcomes. Cancer survivors residing in socioeconomically disadvantaged rural areas may benefit from targeted mental health intervention. Future longitudinal research incorporating census tract–level geographic measures and residential histories is needed to clarify the mechanisms linking the geographic and socioeconomic context to survivorship outcomes.

Enhancing unconfined compressive strength of granite residual soil through synergistic application of microorganisms and jute fibers - Jiaxin Kang; Wenjing Liang; Hao Peng; Ya Wang; Fang Dang; Yunru Zhang; Hong Guo; Han Bao (Bulletin of Engineering Geology and the Environment, 2026)

Permafrost slope failure and mitigation techniques in cold regions - Guo Ming; Yu Wenbing; Li Guo; Chen Lin; Han Fenglei (Bulletin of Engineering Geology and the Environment, 2026)

Fluctuations in groundwater inflow induced by periodic fracturing of overlying strata with mining - Shuning Dong; Zhenfang Zhou; Yang Dong; Qiang Ji; Jiankun Xue; Tiantian Wang; Yutong Wang; Le Han; Peiqiang Gao; Shenghu Luo; Yingying Yao (Bulletin of Engineering Geology and the Environment, 2026)

Seismic damage patterns of the Wenfeng Pagoda considering SSI in a rammed earth foundation via an improved wave method - Yijing An; Xuechi Chen; Jiandong Qin; Xuanzhe Wang; Bin He; Xiaolong Wang; Yimin Ren; Zhuoyang Bai; Pengju Han (Bulletin of Earthquake Engineering, 2026)

Improved thermostability of Thermobifida fusca mannanase obtained by error-prone PCR mutagenesis - Yawei Wang; Qiang Xue; Guan Wang; Zhenggang Han; Jiangke Yang; Hairong Xiong (Biotechnology Letters, 2026)

Dissecting the shift in dominant bacterial protein functions during primary succession in a retreating glacier from the eastern Tibetan plateau - Obey Kudakwashe Zveushe; Faqin Dong; Ying Han; Hengxing Zhang; Wenfang Chen; Lucas Gutiérrez Rodríguez; Lei Zhou; Wei Zhang; Víctor Resco de Dios (Biology and Fertility of Soils, 2026)

Reverse genetics strategies for coronaviruses: platform construction and applications in vaccine development - Yuhang Jia; Xinyu Han; Yuchen Ma; Xinjuan Wang; Yunzhu Yang; Aohan Zhang; Ke Ding; Songbiao Chen (Virus Genes, 2026)

Ethnomedicinal uses, phytochemistry, and pharmacological effects of Kleinia anteuphorbium: A review - Aya Khouchlaa; Zaakour Fatna; Learn-Han Lee; Nasreddine El Omari; Abdelhakim Bouyahya; Hamid Khamar (Plant Biosystems, 2026)

Stable isotope signatures and specific mycobionts reveal the mycoheterotrophic nutrient acquisition of Danxiaorchis yangii - Zhoudong Han; Franziska E. Zahn; Hong Jiang; Yung-I Lee; Gerhard Gebauer (Mycorrhiza, 2026)

A Mid-Pleistocene Provenance Shift in the Bohai Strait at 0.94 Myr: Implications for Synergistic Controls on Yellow River Integration - Wei Xiong; Xi Mei; Long Huang; Naishuang Bi; Zongzhu Han; Yong Zhang; Zhonglei Wang (Journal of Ocean University of China, 2026)

Mitochondrial Control Region Sequence-Based Population Genetic Analysis of Charybdis japonica Specimens Collected from the Chinese Inshore Waters - Shaolei Sun; Jingjing He; Kelin Tang; Zhiqiang Han (Journal of Ocean University of China, 2026)

Protective Effects of Sepia Ink Against Lead-Induced Liver Injury in Mice: A Mechanistic Investigation Using Metabolomics - Xiaoqing Ma; Peiling Cai; Yusheng Han; Wenmin Yuan; Baohong Wei; Xue Yang; Jing Li; Zhehua Jing; Guanhua Du; Huashi Guan; Wenzhe Yang (Journal of Ocean University of China, 2026)

Chinese AgroMeteorological Model CAMM 2.0–3.0: System Framework, Mechanistic Innovations, and Operational Applications - Yuping Ma; Dingrong Wu; Jianying Yang; Youhao E; Qi Wang; Shuang Sun; Linli Sun; Min Xu; Dianchen Han; Yang Li; Yuanda Zhang; Qianchuan Mi; et al. (Journal of Meteorological Research, 2026)

The CMA Chemistry–Weather Coupled Model and Its Operational Forecast of Fog–Haze and Sand/Dust Storms - Hong Wang; Xiaoye Zhang; Wenjie Zhang; Yue Peng; Ping Wang; Hongli Liu; Zhaorong Zhuang; Liping Huang; Weihong Tian; Yang Zhao; Ke Gui; Chen Han; et al. (Journal of Meteorological Research, 2026)

Precipitation Anomalies over the Qinghai–Xizang Plateau in Midsummer and Influences of the Bay of Bengal Cyclonic Vortex - Shun Luo; Ying Li; Ruoyao Xiao; Mingjiang Han (Journal of Meteorological Research, 2026)

Rise in Stratospheric Water Vapor over the Past Two Decades: An Association with Tropical Atlantic Sea Surface Temperature - Yingli Niu; Fei Xie; Yan Xia; Na Liu; Yuanyuan Han (Journal of Earth Science, 2026)

Salinity Change Overrides Nitrogen Increase in Affecting Microbial Abundance, Diversity, Community Composition and Organic Carbon Mineralization in Saline Lakes - Jian Yang; Bingfu Yao; Min Cai; Mingxian Han; Zenghui Wu; Pingping Zhang; Haiyi Xiao; Jibin Han; Xiying Zhang; Hongchen Jiang (Journal of Earth Science, 2026)

Metallogenic Mechanism for the Deep Part of the Jiaojia Gold Zone in the Eastern North China Craton (Jiaodong): Constrains from Pyrite Re-Os Geochronology, in-situ Trace Elements and Sulfur Isotope Compositions - Naijie Chi; Zuozhen Han; Xuefeng Yu; Wei Shan; Chuan’e Liu; Xiufeng Wang; Zengsheng Li; Shenghu Li; Chenxi Zhang; Xiangxian Ma (Journal of Earth Science, 2026)

Key Construction Technologies for Large-Section Altered Rock Water Conveyance Tunnels with Integrated Advance Forecasting and Deformation Management - Liuyang Sun; Juanjuan Ma; Jiaxing Dong; Chenghong Han (Journal of Earth Science, 2026)

New Understanding of the Progressive Failure Process of the 2018 Baige Landslide, Tibet, China: A Role of Intermittent Rainfall - Ling Zhu; Shenghua Cui; Zicheng Lu; Xiangjun Pei; Han Cao; Shuang He; Hui Wang; Hailong Yang (Journal of Earth Science, 2026)

Calving Mechanisms of Lake-Terminating Glaciers in the Southeastern Tibetan Plateau - Menger Peng; Wenfeng Chen; Wei Yang; Jonathan L. Carrivick; Yushan Zhou; Xiaoran Han; Guoqing Zhang (Journal of Earth Science, 2026)

Groundwater potential mapping using a frequency ratio-LSTM hybrid model in the Andijan Region, Uzbekistan - Sooyeon Han; Liadira Kusuma Widya; Woojin Lee; Kadirhodjaev Azam; Bimurzaev Gany (Geosciences Journal, 2026)

Internal release of total phosphorus from sediments in the Jinyang drinking water reservoir, South Korea - Hyeop-Jo Han; Ji-Won Kang; Dae-Sung Song; Jong-Un Lee (Geosciences Journal, 2026)

Long-term spatiotemporal analysis of land surface deformation using multi-sensor InSAR in the Bangkok metropolitan area, Thailand - Gwangwoo Oh; Sooyeon Han; Yu-Chul Park; Chang-Wook Lee (Geosciences Journal, 2026)

Chloroplast genome characterization of Adenophora taquetii and comparative analysis with related Adenophora species - Song-I Han; Sheikh Mansoor; Jiwon Kim; Nur Azizah Arryanie Binti Morshidi; Jae-Hoon Kim; Kyung-Hwan Boo (Genes & Genomics, 2026)

Higher nutrient availability fosters intricate bacterial networks in rhizosphere of invasive plants - Mengxin Zhao; Han Zhang; Qiao Li; Die Zhang; Jianying Guo; Rui Wang; Fengjuan Zhang; Fanghao Wan; Wanxue Liu (Applied Soil Ecology, 2026)

Effects of cathodic protection potential on soil greenhouse gas emissions and electroactive microbial communities - Chenlu Li; Ying Li; Wenhui Zhong; Cheng Han; Yunbin Jiang; Yongcui Deng; Huan Deng (Applied Soil Ecology, 2026)

Neighborhood facilities and active health of older adults: An analysis across urban contexts - Yue Wei; Ruina Han (Applied Geography, 2026)

Experimental study on the flow characteristics and heat transfer limit of IVR-ERVC system under pool boiling condition - Gang Wang; Zewu Zhao; Xiong Wang; Zhiwei Cao; Shilei Han; Bo Kuang (Annals of Nuclear Energy, 2026)

Strategic selection of nuclear fuel cycle backend options: A framework incorporating MA separation and final disposal by multi-criteria evaluation - Masahiko Nakase; Tatsuro Matsumura; Ryo Hamada; Chi Young Han; Go Chiba; Tomofumi Sakuragi; Hidekazu Asano (Annals of Nuclear Energy, 2026)

Cutting and loading scenario and radiological dose assessment for spent steam generator decommissioning - Hyun Jin Yu; Do Won Hyeon; Yong Hee Han; Sang Ryeol Yoon; Jong Soon Song; Min Ho Lee (Annals of Nuclear Energy, 2026)

Ubiquitin-mediated downregulation of the proteasome subunit ADRM1 mediates in vitro capacitation of bovine spermatozoa - Lipeng Cao; Chunyu Li; Yue Han; Yanqiu Lv; Jie Wang; Xinglin Qu; Yuyang Zhang; Weiyu Gu; Qinglong Xu; Shunfa Yao; Jinwei Lu; Aihui Lv; et al. (Animal Reproduction Science, 2026)

Effects of low fish meal diet supplemented with dimethyl-beta-propiothetin (DMPT) on growth, feeding behavior and intestinal health of Hexagrammos otakii - Zhixu Guo; Xiangyu Meng; Jiaying Xie; Tinghao Ma; Yajuan Song; Xiaoran Zhao; Tongjun Ren; Yuzhe Han (Animal Feed Science and Technology, 2026)

Integrative analysis of metabolomics and transcriptomics reveals alterations in hepatic triglyceride metabolism in fattening Tan sheep supplemented with grape seed proanthocyanidins - Ning Zhang; Yindi Guo; Qian Xu; Jie Yang; Wei Han; Ali Gomaa; Qiaoxian Gao; Juan Zhang; Wenzhi Yang; Guosheng Xin (Animal Feed Science and Technology, 2026)

Primer-programmed circular template generation enables padlock-free rolling circle amplification for low-background CRISPR-based pathogen detection - Yemin Han; Haotian Yu; Manman Lv; Mengqing Cheng; Weihao Li; Houyang Ge; Song Gao; Lu Yin; Qinyu Ge; Xinping Xu; Yan Huang; Longhua Sun; et al. (Analytica Chimica Acta, 2026)

Multi-residue analytical method of 215 pesticides in peanut by GC-Q-Orbitrap MS/MS - Xiaofan Qi; Sufang Fan; Lijun Han; Zhijuan Meng; Xiaoying Wan; Wenbo Zeng; Canping Pan (Analytica Chimica Acta, 2026)

Determination of short-chain chlorinated paraffins in marine sediment by automated online solid phase extraction coupled to liquid chromatography-high-resolution mass spectrometry - Feiyao Lu; Dan Fu; Xiuping He; Xueting Zhang; Haoshun Zhang; Tongzhu Han; Junhui Chen (Analytica Chimica Acta, 2026)

A 3D-Printed, pump-free, microfluidic hydride generation-capillary point discharge atomic emission spectrometer for on-site arsenic detection - Han Yan; Yanqi Xiong; Yingying Li; Yunfei Tian; Xiandeng Hou (Analytica Chimica Acta, 2026)

Enhanced label-free SERS detection of uremic toxins in clinical spent dialysate - Han Lee; Jiunn-Der Liao; Yi-Shan Guo; Chung-Yu Wang; Kuan-Hung Liu; Szu-Hsueh Lai; Bo-Shen Lin (Analytica Chimica Acta, 2026)

Rationally engineered cyano-modified graphite carbon nitride for enhanced electrochemiluminescence and sensitive perfluorooctanoic acid sensing - Rui Zou; Rui Guo; Jinkui Cheng; Lan Ma; Yanxue Zhao; Xinning Han; Fei Ye (Analytica Chimica Acta, 2026)

Combined effects of potassium phosphate catalysts and alcohol cosolvent on biocrude production from hydrothermal liquefaction of microalgae - Joon-Kyo Kim; Hana Chrenka; André L. Boehman; Taehoon Han (Algal Research, 2026)

Differential responses of soil microbial biomass and diversity to long-term phosphorus fertilization: A global meta-analysis - Jiahao Ge; Xiaoyi Han; Xinyue Lei; Qixuan Wang; Pengyue Wu; Nanhai Zhang; Yuying Guo; Pu Yang; Baili Feng; Jinfeng Gao (Agriculture, Ecosystems & Environment, 2026)

Assessing the impact of four tillage methods on soil and water conservation in karst areas of Southwest China: Evidence from a 10-year field study - Quanzhong Sun; Ruyi Zi; Fayong Fang; Bin Yang; Minghai Hong; Yuanze Xu; Lang Peng; Li Qin; Tao Song; Jiaojiao Du; Zhongxian Liu; Zhen Han; et al. (Agriculture, Ecosystems & Environment, 2026)

UE-Pose: Uncertainty-Driven Cross-Modal Fusion of Event and RGB Imagery for Spacecraft Pose Estimation - Zhaoxiong Li; Shihao Han; Haodong Yan; Dong Le; Yonghe Zhang; Zhencai Zhu; Guopeng Ding (Advances in Space Research, 2026)

Minimizing temporal gaps for multi-shot Earth observation: Gap-aware satellite scheduling - Chae-Hyeon Kim; Han-Lim Choi (Advances in Space Research, 2026)

Periodic formation configuration design in multi-body systems based on semi-analytical gradient information - Qian Li; Zhenyu Li; Hongwei Han; Dong Qiao (Advances in Space Research, 2026)

RTK traverse: a multi-user RTK model based on kinematic reference stations - Siyao Wang; Peiyuan Wang; Junqiang Han; Fang Cheng; Shuaihe Gao; Yanming Guo; Xiaochun Lu (Advances in Space Research, 2026)

Identification of GNSS spoofing interference causing position deviation based on hierarchical clustering - Han Gao; Fuping Sun; Weidong Sun; Qi Li; Lundong Zhang; Peiyuan Zhou; Bo Jiao (Advances in Space Research, 2026)

A novel association rule mining framework using weighted positive-negative sample contrast for analysis of landslide factor combinations - Jiaying Li; Xinyu Shi; Weidong Wang; Zheng Han; Zhichao Wang; Chongzheng Zhu (Advances in Space Research, 2026)

RNA-binding proteins in aging and age-related diseases: roles, mechanisms, and a large language model analysis - Qunhua Han; Shunmei Huang; Suisui Luo; Dianqiang Yang (Biogerontology, 2026)

Potential Targets in Nonalcoholic Steatohepatitis Based on Bioinformatics Analysis and Machine Learning Strategies - Tiansu Lv; Lingling Zhu; Yuan Han; Zhe Cheng; Yutian Cao; Wenhui Zhang; Jiaxuan Huai; Wenlin Ma; Yixian He; Yiran Zhu; Qianhua Yan; Xiqiao Zhou (Biochemical Genetics, 2026)

Laboratory evaluation of enhanced biocontrol efficacy of Bacillus atrophaeus SF9 via fermentation optimization against Bauhinia blakeana leaf spot disease caused by Colletotrichum endophyticum - ShuYing Li; LiWei Liang; ShuJiang Li; Shan Han; TianHui Zhu; TianMin Qiao (Australasian Plant Pathology, 2026)

From biomarkers to the risk index: a novel integrated model using multidimensional urinary biomarkers to quantify e-cigarette exposure - Lili Cui; Shulei Han; Pengpeng Yu; Ruijuan Miao; Xingfang Cun; Yuan Zhang; Peipei Ren; Pengxia Feng; Lingxiao Song; Yaning Fu; Hongjuan Wang; Yushan Tian; et al. (Archives of Toxicology, 2026)

Integrating high-fidelity hiPSC-cardiomyocytes with AI-driven modeling for enhanced proarrhythmic risk assessment - Su-Bin Kim; Jaehun Lee; Jieun An; Ara Cho; Kun Hee Lee; Hwan Choi; Choongseong Han; Muhammad Adnan Pramudito; Ki Moo Lim; Dong-Hun Woo (Archives of Toxicology, 2026)
Cardiotoxicity remains the leading driver of drug attrition; however, its prediction remains suboptimal when conventional hERG assays and animal models are used. Human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) offer a human-relevant alternative that aligns with the CiPA initiative and ICH E14/S7B guidelines. This study validated an integrated platform that combines high-purity hiPSC-CMs with Artificial Intelligence (AI) to enhance the accuracy of predicting drug-induced proarrhythmic risk. Phenotypic characterization of the hiPSC-CMs demonstrated high cardiac differentiation efficiency (cTnT + > 95%) and a predominant ventricular-like identity (MLC-2 V + , 78–84%), ensuring biological relevance for ventricular arrhythmia assessment. Electrophysiological data from 28 CiPA reference compounds were collected via Multielectrode Array (MEA) to train multiple machine learning models. The Artificial Neural Network outperformed the other architectures, achieving a superior ROC-AUC of 0.982. The utility of the platform was evaluated using 12 anticancer agents. Although most drugs showed dose-dependent reductions in impedance-based viability, four compounds (Idarubicin, Erlotinib, Sunitinib, Cyclophosphamide) did not exhibit overt structural cytotoxicity. However, MEA analysis revealed significant functional perturbations, including FPDcF prolongation, in sunitinib- and erlotinib-treated samples after long-term treatment. The AI model subsequently classified these two agents as high-to-intermediate risk for Torsades de Pointes (TdP), thereby quantifying their time-dependent proarrhythmic liabilities. These findings show the platform’s ability to detect hidden functional cardiotoxicity, often missed by standard viability assays. The AI-hiPSC-CM system offers a high-throughput, early-stage safety screening tool that bridges in vitro data and clinical outcomes with a standardized risk assessment framework.

Microbial remediation of PAHs in aquatic environments: advances, ssynergistic mechanisms, and emerging strategies - Shuo Yang; Mengying Wang; Han Wang; Qi Yang; Zhilin Yang (Archives of Microbiology, 2026)

Artemisinin liposomes regulates breast cancer metastasis and apoptosis through TIGIT/CD155 signal axis - Yachan Feng; Zexu Han; Jiangtao Shao; Bilgen Caliskan; Haitao Shi; Libo Du; Xiaolei Zhou; Yike Qi; Jing Zhang; Zining Hao; Xueling Guo; Jin Zhou; et al. (Apoptosis, 2026)

Hydrogeochemical characteristics and circulation evolution of spring waters in the Nangqian Basin, Qinghai, China: Insights from multi-isotope (δ2H–δ18O–3H–δ11B) constraints - Pengcheng Zhang; Wenhua Han; Huaide Cheng; Yongshou Li; Haizhou Ma; Binkai Li; Xuehai Ma; Huandi Li (Acta Geochimica, 2026)

Label-free cell phenotypic profiling of sphingosine-1-phosphate receptor 1 and discovery of its agonist from natural products - Xiyi Wang; Yuchang Sun; Hongming Tang; Tao Hou; Han Zhou; Xiaomin Xie; Yuting Li; Pan Wang; Yang Han; Lai Wei; Fangfang Xu; Yanfang Liu; et al. (Naunyn-Schmiedeberg's Archives of Pharmacology, 2026)

Advancing PCOS drug development: multi-omics discovery of key targets and repurposable compounds - Zhiyong Xiao; Xin Zhang; Yuxin Zhang; Jiajia Liu; Xiaoyan Zheng; Rui Lai; Han Yang; Jie Wu; Jie Yang (Naunyn-Schmiedeberg's Archives of Pharmacology, 2026)

Integrating network pharmacology, molecular docking, machine learning, and experimental validation: puerarin improves sepsis-induced acute kidney injury via the Sirt1-Nrf2-HO-1 pathway - Shangping Fang; Jiameng Liu; Wanning Li; Zhaorong Chang; Yuesong Han; Cuifeng Zhang; Xianwen Hu; Yongquan Chen (Naunyn-Schmiedeberg's Archives of Pharmacology, 2026)

Combined PS-InSAR and Deep Learning CNN-LSTM-Attention Model for Deformation Prediction Along Subway Lines: a Case Study in Shijiazhuang, China - Xinpeng Diao; Zhenmin Hu; Wanyu Xia; Chunfeng Han; Yuelong Zhao; Deyang Yu; Fei Xu (PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science, 2026)

The Identification of Digramma interrupta (Diphyllobothriidae: Ligula) in a Captive Red-Crowned Crane and a Crucian Carp Reveals a New Case for Co-Occurrence - Maolin Lu; Yuling Yang; Mengchao Zhou; Yaxian Lu; Honyan Yu; Ruisi Zhang; Tianlu Liu; Mengru Zhao; Lei Han; Zhijun Hou (Acta Parasitologica, 2026)

The Antiviral Activity and Underlying Mechanisms of Quercetin in Combating Largemouth Bass Virus Infection - Lin Huang; Wenyu Liao; Mingquan Peng; Jieying Yu; Mingzhu Liu; Junxiang Lai; Ermeng Yu; Ying Pan; Fei Ling; Shuyu Han; Qing Yu; Pengfei Li (Journal of Fish Diseases, 2026)
Largemouth bass virus (LMBV), a member of the Ranavirus genus within the Iridoviridae family, is a significant pathogen causing high mortality and substantial economic losses in largemouth bass aquaculture. Therefore, developing effective antiviral agents against this viral infection is crucial for the largemouth bass aquaculture industry. Quercetin, a widely utilised flavonoid known for its therapeutic and prophylactic properties, was investigated for its antiviral efficacy against LMBV and underlying mechanisms in this study. The results demonstrated that quercetin significantly inhibited LMBV propagation in vitro and in vivo, and was effective in both prevention and treatment stages. Specifically, quercetin at 6.25 μg/mL suppressed LMBV (major capsid protein) MCP gene transcription by up to 92.09%, with the post‐infection treatment achieving 99.33% inhibition in vitro. Mechanistic studies revealed that quercetin reduces LMBV infectivity by disrupting viral internalisation and replication, while also potentiating cellular immune responses mediated by the IFN system. In vivo experiments further confirmed that quercetin treatment reduced viral transcription in the liver, spleen and kidney by 97.49%, 47.45% and 98.42%, respectively, at 48 h post‐infection and significantly enhanced the survival rate of infected juveniles. In conclusion, quercetin demonstrated potent antiviral activity against LMBV and might serve as a promising, eco‐friendly antiviral agent.

Phylogeography of ‘tropical Daphnia ’ — Diaphanosoma dubium : Refugia, Lineage Divergence, and Historical Colonization Over a Warm and Complex Landscape in East Asia - Ping Liu; Meng Xu; Qi Huang; Henri J. Dumont; Diego Fontaneto; Bo‐Ping Han (Journal of Biogeography, 2026)
Aim East Asia spans temperate to tropical zones, with limited glacial influence and a complex geological history shaped by the Tibetan Plateau. Consequently, species here may show distinct phylogeographic patterns compared with those of Europe and North America. Using the warm‐adapted cladoceran Diaphanosoma dubium as a model, we tested whether it persisted in multiple watershed refugia, especially the Yangtze River Basin, during past climate oscillations, leading to geographically structured lineage divergence. Location East Asia, with a specific focus on watersheds across China. Taxon The cyclically parthenogenetic cladoceran Diaphanosoma dubium (‘tropical Daphnia ’). Methods We applied ecological niche modelling on a global occurrence dataset and population genetics analyses on mitochondrial and nuclear gene datasets from 60 populations. Results High‐fitness areas were identified mainly in the eastern Yellow River Basin plains during the Last Glacial Maximum (LGM). Phylogenetic analysis resolved five deep lineages coalescing in the Late Miocene. Ancestral cold‐adapted lineages dominated the Yellow River Basin in the Late Miocene, later dispersing and permeating southward into the Yangtze River Basin during pre‐Pleistocene cooling. Three deep lineages indicated a large refugium downstream of the Yellow River Basin and west of the Bohai Gulf, and two lineages indicated two cryptic southern refugia. The two most common lineages overlapped widely in China, expanding post‐LGM from the Paleo‐Bohai refugium, showing climate tracking and niche conservatism. Main Conclusion In contrast to our expectation, the Yangtze River Basin acted as a dispersal hub rather than a refugium in middle China. D. dubium exhibited a watershed‐associated latitudinal structure, distinct from Daphnia in Europe. Historical north‐to‐south colonization and strong gene flow mitigated genetic differentiation among watersheds. Life‐history traits drove D. dubium 's successful colonization of tropical China, with geographic range and mountainous landscapes further shaping its continental‐scale distribution and divergence.

Microbial Decomposition of Lignin to Methane Reduces Net Blue Carbon Benefit Across China's Saltmarshes - Leilei Xiao; Chuancheng Fu; Isaac R. Santos; Carlos M. Duarte; Jian Liu; Lifeng Zhou; Meng Zhou; Run Dang; Jinkuo Lin; Kai Xiao; Yongming Luo; Guangxuan Han (Global Change Biology, 2026)
CH 4 emissions from mangrove, saltmarsh, and seagrass ecosystems partially offset carbon sequestration, potentially diminishing the climate mitigation capacity of these blue carbon habitats. However, a mechanistic understanding of the processes governing CH 4 production potential across large spatial scales remains limited. By integrating incubation‐based measurements from 116 sites, we reveal significant ecosystem‐specific differences in CH 4 production potential, with saltmarshes emerging as CH 4 production hotspot relative to mangroves and seagrass meadows. Using an integrated analytical approach encompassing more than 30 environmental, biogeochemical, and microbial parameters, we demonstrate that CH 4 production potential converges on sediment organic carbon availability, particularly plant‐derived carbon, as a key regulatory axis. Additionally, metagenome‐assembled genomes (MAGs) recovered from saltmarshes show a functional bias toward lignin degradation, thereby fueling downstream CH 4 production via methylotrophic pathways. Lignin‐addition and stable carbon isotope experiments further provide supportive evidence that lignin decomposition enhances Chinese saltmarsh CH 4 production potential, revealing a pathway that may reduce net blue carbon benefit. Together, these findings underscore that saltmarsh plant‐derived lignin is less stable than conventionally assumed, as microbial processing redirects stored carbon toward CH 4 production, challenging current blue carbon accounting frameworks at a continental scale within China.

Coral‐associated microbiome dynamics under thermal and pollution stress - Hao Luo; Jinhui Fu; Lijing Li; Wen Yu; Zhaojie Peng; Jingjing Zhang; Han Lai; Yisi Hu; Shichao Wei; Zhiwei Zhang; Wenliang Zhou; Fuwen Wei (Conservation Biology, 2026)
Globally, coral reefs are undergoing rapid degradation due to climate change. Microbiomes associated with coral are integral to host metabolism and play critical roles in coral resilience. Determining the changes in compositions and functions of these coral commensal microbes is essential for forecasting coral responses to environmental stress and guiding conservation. We investigated the structure and function of Symbiodiniaceae and bacteria from 587 coral samples (5 orders, 62 genera, and 166 species) spanning a 15° latitudinal range in the South China Sea by combining environmental factor measurements with ITS2 and 16S rRNA gene amplicon sequencing analyses. The abundance of dominant Symbiodiniaceae and bacteria varied with latitude, primarily driven by sea surface temperature. A higher proportion of heat‐tolerant Symbiodiniaceae ( Durusdinium , C15, and C3u) and copiotrophic bacteria (e.g., Endozoicomonas and Terasakiellaceae) was observed in low‐latitude corals. Increased expression of bacterial genes was associated with triglyceride and glycogen degradation, and there was a decreased expression of genes involved in their biosynthesis. These findings suggest that corals cope with heat stress by reshaping symbiont composition and abundance, thereby enhancing thermal tolerance and optimizing energy metabolism. Based on the results, we propose region‐specific conservation strategies, including the introduction of heat‐tolerant symbionts to low‐latitude corals, reducing nutrient pollution for high‐latitude corals, and emphasizing reduction in global emissions as the ultimate solution to thermal stress.

Fish diversity and community turnover across protection zones in multiuse marine protected areas - Xu Zeng; Cong Zeng; Yongfeng Zhou; Yue Liu; Zheying Lin; Jihao Peng; Yihui Jiang; Han Dong; Guodong Li; Shuangzhao Li; Hengyu Li; Ling Cao (Conservation Biology, 2026)
Multiuse marine protected areas (MMPAs) with varying levels of protection in different zones are increasingly being adopted to balance conservation and socioeconomic goals. However, the effect of these zone‐based strategies on fish diversity is not well understood. We used environmental DNA surveys across zones with different protection levels (fully protected, highly protected, and lightly protected) in three typical Chinese MMPAs, while controlling for environmental factors and human activities, to examine fish species composition and richness among zones. Contrary to expectations, sites with high levels of protection had lower fish species richness than sites with lower levels of protection. Turnover in community composition between fully protected and less protected zones was 88.4% and accounted for 96.4% of pairwise dissimilarities. Rather than diminishing the importance of high‐level protection, our results showed that a tiered zoning approach can sustain fish species richness and limit biotic homogenization. Our results challenge the assumption that strict protection universally leads to high species richness and demonstrate that nuanced multilevel protection zoning may be more effective at preserving marine biodiversity and ecosystem functions at broader spatial scales.

SAR-based monitoring of shipping reorganization under a maritime chokepoint disruption: Evidence from the Strait of Hormuz crisis - Haotian Yang; Nan Xu; Jihong Chen; Yuhao Wang; Yinxia Cao; Fenzhen Su; Han-Su Zhang; Chunpeng Chen; Yifu Ou; Qingquan Li (Ocean & Coastal Management, 2026)

Spatiotemporal variations in sea surface chlorophyll-a in the Seto Inland Sea - Gandhi Napitupulu; Han Soo Lee; Nobuhito Mori (Marine Pollution Bulletin, 2026)

Dynamic source apportionment of heavy metals in Bohai Bay sediments using a temporally hierarchical PCA-APCS-HBM model - Qiulian Wang; Long Han; Tong Han; Zhenchao Fu; Zeli Li; Han Ding (Marine Pollution Bulletin, 2026)

Using life-history information to identify management priorities within an emergent multi-species grey mullet fishery - Calum J. Pritchard; Ayşegül Tuğçe Han; Andrew Macleod; Rachel M. Turnbull; Jamie Small; Sarah Birchenough; Simon Pengelly; Benjamin J. Ciotti (Fisheries Research, 2026)

Distinct patterns of intestinal microbiota and immune responses under acute and chronic ammonia stress in yellow catfish (Pelteobagrus fulvidraco) - Kun Xiao; Liling Nie; Shasha Zhao; Gehan Gao; Cuancheng Zhao; Yanjun Du; Rongfei Hu; Ruru Lin; Jie Wang; Man Wang; Dong Han; Lei Zhang (Aquaculture, 2026)

Mpeg1 exerts direct bactericidal activity and mediates innate antibacterial function of B cells in Nile tilapia - Weiheng Shi; Yiwen Chai; Jugan Han; Yonglin Cai; Wuxian Fu; Yongya Luo; Yuhua Lin; Jianmin Ye; Liting Wu (Aquaculture, 2026)

Behavioural thermoregulation segregates sick and healthy fish to enable selective treatment - Massiel F. Copara Chino; Jayoon Lee; Yujin Han; Julia G. Neyedly; Matthew L. Michnik; Patrick Whittaker; Kathryn Smith; Keith B. Tierney; Yamila Carpio; Mario P. Estrada; Mark D. Fast; Brian Dixon; et al. (Aquaculture, 2026)

Unsupervised Machine Learning Identifies Trace Element Indicators for Protolith Discrimination and REE Targeting of Granitoid Regolith - Long Guo; Wei Tan; Mengqi Han; Lianying Luo; Qihang Yin; Xiaoliang Liang; Jianxi Zhu (Natural Resources Research, 2026)

Nighttime growth in the green tide alga Ulva prolifera: metabolic basis and ecological implications - Han Xu; Mingzi Lin; Jiaying Bian; Dongyi Yang; Jianan Jiang; Shenyuan Liang; Hao Zhang; Wenrong Zhu; Nianjun Xu; Yahe Li (Journal of Applied Phycology, 2026)

Analysis of trade-off synergies of land use functions and their influencing factors in arid zones - Fangfang Han; Alimujiang Kasimu; Anwaer Maimaitiming (Environment, Development and Sustainability, 2026)

Exploring the complex relationship between vestibular symptoms and migraine: a resting‑state functional MRI study - Lin Han; Xing Xiong; Jiajie Lu; Kai Zhang; Jun Ke; Hongru Zhao (Brain Imaging and Behavior, 2026)

An Integrated Framework of Association Rules and Social Network Analysis for Exploring Co-Occurrence Patterns of Waterborne Accident Causes - Luqian Zhang; Ruiwen Zhang; Weiliang Qiao; Bing Han; Xiaoxue Ma (Journal of Marine Science and Engineering, 2026)
Accident cause analysis is widely valued by the International Maritime Organization (IMO) and many maritime authorities to prevent waterborne transportation accidents. In this study, 886 waterborne transportation accident investigation reports from China MSA are collected. Contributing factor analysis sections are extracted and imported into NVIVO for directed content coding, which combines the HFACS framework and grounded theory coding. In total, all contributing factors are identified, conceptualized, and categorized into 76 sub-categories across five dimensions. Based on these, association rule analysis is conducted separately for seven accident types to mine corresponding strong association rules. Meanwhile, an undirected co-occurrence social network is constructed with all accident samples and analyzed from three dimensions: connection strength, criticality, and activeness. Multi-dimensional network structure analysis shows that external influence accident causes do not rank among the top nodes across all indicators. Within the scope of this study, the contributing factor co-occurrence network presents a closed-like structural feature dominated by internal factors. “Failure to identify risks timely and take effective measures” and “Incompetent crew” are identified as two core nodes with outstanding comprehensive performance across multiple indicators. In addition, nodes with prominent local co-occurrence aggregation characteristics are also identified through clustering coefficient analysis.

Synthesis and biological evaluation of Phorbazole D analogues identify IO-5a as a promoter of hUC-MSC chondrogenic differentiation - Ai-zhu Wang; Xiao-mei Liu; Li-ming Zhang; Lu-lu Fu; Ping Li; Jie-ping Zhang; Hua Han (Molecular Diversity, 2026)

Polyamide-66 microplastics and early-onset ischemic stroke: a systems toxicology, multi-omics, and molecular dynamics simulation analysis - Qiu-Han Xu; Zhao-Hui Chai; Jian-Cheng Jin; Yu-Ning Zhang; Jian Shen (Molecular Diversity, 2026)

Robust probabilistic measurement of structural-functional module consistency in infant brain development - Lingbin Bian; Feihong Liu; Qian Wang; Han Zhang; Dinggang Shen (Brain Structure and Function, 2026)

Fish Germline Stem Cells: Biological Traits, Culture Techniques, Germplasm Repositories and Application Prospects - Yuqin Ren; Zengsheng Han; Yucong Yang; He Gao; Jiangong Ren; Lize San; Heng Zhang; Xianjiang Kang; Jilun Hou (Fishes, 2026)
Fish germline stem cells (GSCs) are pivotal mediators in the transmission of genetic information across generations, possessing irreplaceable significance in aquatic germplasm protection and genetic breeding. Stable in vitro culture serves as an essential prerequisite for construction of standardized fish GSC germplasm repositories. Only by developing a robust culture system to sustain long-term proliferation and stemness of GSCs can large-scale cell reserves be established and long-term safe preservation be realized, and relevant applications including germ cell transplantation (GCT), in vitro differentiation and gene editing be further supported. However, most existing studies focus merely on individual techniques or partial research modules, while few integrate GSC biological mechanisms, in vitro culture systems, and germplasm repository construction with downstream industrial applications. This review elaborates the biological characteristics and classification of fish GSCs, summarizes the regulatory mechanisms of GSC fate determination, and comprehensively updates the research progress of in vitro culture technology and germplasm repository development. Multiple application scenarios based on cell bank resources are holistically illustrated, and prevailing technical and industrial challenges are analyzed. The study aims to provide theoretical reference for promoting technological innovation and practical utilization of fish germ stem cell research.

Research on Cooperative Pursuit Strategy of Multiple UUVs Based on Deep Reinforcement Learning in Complex Dynamic Environments - Songtao Lyu; Han Zhang; Desheng Zhang; Zheng Liu; Shizheng Jin (Journal of Marine Science and Engineering, 2026)
Cooperative pursuit of multiple unmanned underwater vehicles (UUVs) is a typical adversarial task in the fields of underwater security and target interception. However, inherent underwater challenges such as communication delay, ocean-current disturbances, limited sonar detection range, randomly distributed obstacles, and maneuvering evasive targets may lead to state information lag, difficulty in cooperative decision-making, unstable pursuit formation, and complex dynamic obstacle avoidance. To tackle the above issues, this paper establishes a hierarchical UUV model that combines horizontal-plane kinematics, simplified surge-yaw dynamics, ocean-current disturbance terms, and low-level actuator saturation constraints within a deep reinforcement learning framework. Secondly, a PER-TD3-based escape strategy learning method is proposed to construct a maneuverable evasive target model; the trained evader maps local sonar, pursuer-relative, obstacle, and current observations into bounded speed and yaw-rate commands, thereby providing an adversarial target for subsequent pursuit training. Thirdly, aiming at the decision-making lag caused by communication delay and local observation, an LSTM-PMADDPG single-target pursuit method is presented as a temporal baseline. Finally, in view of the interference of dynamic obstacles and the difficulty of multi-target assignment, an LSTM-MATD3 multi-target pursuit algorithm is constructed to realize autonomous multi-target allocation, dynamic obstacle avoidance, and stable encirclement.

Integrating taxonomic and functional β-diversity to identify conservation priorities in semi-enclosed bay under human impacts - Yushu Yang; Wanhong Han; Aoxiang Huang; Danyi Ke; Anguo Zhang; Zhenhua Li; Qingxi Han (Hydrobiologia, 2026)

A Sea State Estimation and Uncertainty Awareness Model Integrating Multi-Scale Convolution and DropKey-Transformer - Ting Cui; Runze Mao; Xinyu Guo; Peihua Han; Houxiang Zhang (Journal of Marine Science and Engineering, 2026)
Accurate sea state estimation is of great significance to marine engineering safety and disaster prevention and mitigation. This paper proposes a new sea state estimation architecture integrating multi-scale 1D-CNN, transformer encoder, and the MC-DropKey mechanism. First, the front-end multi-scale 1D-CNN is used in sequence modeling to extract high-quality local features. Then, the back-end transformer encoder is used to capture global long-range temporal dependencies. In addition, the MC-DropKey mechanism is introduced. It achieves dynamic uncertainty quantification while maintaining high-precision estimation. Comprehensive comparative and ablation experiments show that the proposed model significantly outperforms the baseline models in wave height and wave direction estimation tasks, achieving the lowest MAE of 0.117 m and CAE of 5.212°. Moreover, the uncertainty intervals output by the model effectively quantify estimation confidence, reaching a 96.67% prediction interval coverage probability. The obtained results provide strong technical support for scientific scheduling and decision-making in complex marine environments.

An Analysis of Working Sea States and Operational Ranges for the Gangway Equipped Offshore Wind Turbine Maintenance Vessels - Wen-Hua Wang; Zhi-Bin Wang; Bin-Bin Jing; Xin-Yuan Zhang; Li-Jian Wang; Zi-Han Zhao; Ke-Dong Zhang; Bin Wang; Yi Huang (Journal of Marine Science and Engineering, 2026)
During offshore wind turbine maintenance operations, maintenance vessels typically rely on transfer gangways to achieve safe transfer of personnel from the vessel to the wind turbine. With the development of offshore wind farms toward far sea areas, working sea state conditions have become increasingly complex. In recent years, the application of large-scale active wave compensation (AWC) transfer gangways has mitigated the adverse effects of ship motions on transfer operations to a certain extent, but the problem of limited motion ranges of each gangway joint has also emerged as a prominent issue. Under complex sea state conditions, if the station-keeping position of the maintenance vessel is improperly selected, joint limit violations may occur during the gangway compensation process, thereby posing safety risks. To address the above problems, this paper develops a novel geometric-envelope-based analytical method for operational sea states and ranges that explicitly accounts for gangway joint constraints and wave-induced vessel motions to meet the safety requirements of large-scale gangways. Subject to the motion constraints of gangway joints, to ensure that the initially selected station-keeping position of the vessel satisfies the requirements for safe gangway transfer, the feasible domain and motion range of the gangway base point under different sea states are obtained. By solving for the solutions where the motion range of the base point lies entirely within the feasible domain, feasible schemes for vessel station-keeping operations under different sea states are derived. The results show that the gangway can operate safely under sea states 3 and 4 but fails under sea state 5. The allowable height difference between the transfer point and the gangway base is [−2.7 m, 8.7 m] for sea state 3 and [1.8 m, 3.5 m] for sea state 4. The operational area on the horizontal plane presents a partial ring shape, and the ring width first increases and then decreases with increasing height difference. Finally, random numerical examples are designed to demonstrate the applicability and internal consistency of the proposed analytical method.

Salvianolic acid B suppresses non-small cell lung cancer growth by promoting Nrf2 proteasomal degradation and triggering autophagy-dependent ferroptosis - Kejing Xi; Han Xiao; Zixin Yin; Linfang Jin (Naunyn-Schmiedeberg's Archives of Pharmacology, 2026)

Evaluation of coupling and coordination in the population, economy, environment of Anhui province: a perspective on high quality development - Kui Ying; Yulu Han; Xiaoli Huang; Yihao Chen; Jinhong Ding (Environment, Development and Sustainability, 2026)

Seismic response of prefabricated CFST stiff skeleton column-bent cap joint: experimental evaluation and lateral strength model - Zhixin Zhu; Qiang Han; Guangda Zhang; Xianzhuo Jia; Li Xu; Xiuli Du (Bulletin of Earthquake Engineering, 2026)

Linking non-point source nitrogen pollution and land use quantity, structure, and morphology in the Weihe River Basin - Jiayi Li; Yanfei Yu; Yifan Hou; Han Li; Min Min (Environment, Development and Sustainability, 2026)

Integrating Intelligent Control Strategies with Conventional Pre-treatment in Enhanced Anaerobic Digestion of Residual Activated Sludge - Han Jiang; Xu Wang; Haishu Sun (BioEnergy Research, 2026)

Sandstone alternation as revealed by spheroidal weathering in the Carboniferous Taiyuan Formation of Shimenzhai Area, Liujiang Basin - Shiqiang Xia; Hongwen Deng; Zhen Liu; Nadeem Ahmad; Taotao Yan; Wei Wu; Quan Li; Guiyu Dong; Haigang Lao; Xiaoying Han; Bin Gao (Applied Geophysics, 2026)

Engineering-grade monitoring of floating-roof oil tanks using amplitude-only TerraSAR-X imagery and dual geometric pipelines - Yi-Keng Chen; Zheng-Shun Su; Ya-Lun S. Tsai; Su-Wei Chang; Jen-Yu Han; Chun-Jia Huang (International Journal of Remote Sensing, 2026)

Acute Stress Drives Adaptive Anxiety via Excitatory-Inhibitory Imbalance in the Prefrontal-Amygdala Circuit in Male Mice - Jia-Xin Zou; En Cao; Zhi-Hao Wang; Rui Han; Xing-Yan Lu; Cheng-Yuan Huang; Xia Qin; Wei-Zhu Liu; Wen-Hua Zhang; Bing-Xing Pan (Neuroscience Bulletin, 2026)

Cocaine Hijacks the Npas4-dependent Somatostatin Ensembles in the mPFC to Mediate Attention - Xutian Hou; Kunxiu Han; Feifei Wang; Changyou Jiang; Lan Ma; Tao Jin (Neuroscience Bulletin, 2026)

Prospective motion correction with data reacquisition based on fat navigators for T1-weighted brain MRI at 3T - Minqiang Jia; Bingbing Zhao; Tuo Yu; Jiayu Zhu; Xijing Zhang; Haohao Peng; Xin Ye; Yichen Zhou; Rongrong Xie; Xinju Zhang; Han Zhang; Xiaopeng Zong (Medical & Biological Engineering & Computing, 2026)

Feasibility of a PET/MR Imaging Workflow in Adult Zebrafish Using Intracardiac FDG Injection - Chi-Yu Lai; Avery Landon Wang; Chi-Han Wu; Guor-Mour Her; Skye Hsin-Hsien Yeh; Wen-Tao Huang; Yuh-Feng Wang (Journal of Medical and Biological Engineering, 2026)
Purpose In vivo imaging of adult zebrafish remains technically challenging due to loss of optical transparency and the lack of standardized molecular imaging protocols. The development of reliable radiotracer delivery and acquisition parameters is essential for improving imaging reproducibility and translational relevance. Methods Adult zebrafish with hepatobiliary tumor models were imaged using an integrated PET/MR system following intracardiac injection of F-18 FDG. Animals were assigned to four groups based primarily on uptake time, ranging from approximately 40 to 90 min, with injected activity maintained within a narrow range. A standardized imaging workflow, including anesthesia, positioning, PET acquisition, and MRI co-registration, was implemented. Image quality, tracer distribution, and tumor visualization were qualitatively compared across groups. Results Intracardiac injection provided reliable systemic tracer delivery across all groups. Short uptake times resulted in high background activity, particularly in the gastrointestinal tract, while prolonged uptake times led to signal decay. An intermediate uptake time (~ 60 min) appeared to provide the most favorable balance between signal intensity and background suppression under the current experimental setting. MRI consistently delineated hepatic lesions, while PET signal quality varied depending on protocol parameters. Semi-quantitative analysis indicated higher tracer uptake in lesion regions relative to adjacent background tissue. Conclusion This study establishes the first feasible PET/MR imaging workflow and identifies preliminary imaging conditions for adult zebrafish, demonstrating that uptake time is a critical determinant of imaging quality. The proposed workflow provides a reproducible platform for longitudinal in vivo imaging and may serve as a practical intermediate platform for preclinical molecular imaging prior to rodent studies.

Construction of High-Efficiency Blue/Red Fluorescent Dual Anti-Counterfeiting Based on Reed-Based Carbon Dots/MCM-41 System and Smartphone RGB Analysis - Lifan Zhang; Jinwang Gao; Haiyang Han; Xiaoke K. Wang; Li Huo (Journal of Fluorescence, 2026)

A Novel Three-Dimensional Strength Criterion for Rocks and Its Validation, Accounting for the Intermediate Principal Stress Effect as well as Compressive and Tensile Strength Characteristics - Xiulei Li; Ying Han; Qiang Chen; Shengxin Liu (Rock Mechanics and Rock Engineering, 2026)

Analysis of Rockfall Motion Characteristics Based on a 3D DDA Stochastic Model: A Case Study of the Houyu Tunnel in Fujian Province - Lu Zheng; Zhiyuan Zhu; Yihan Wu; Shuning Zhang; Zhiyuan Li; Zishuang Han; Manchao He; Guangqi Chen (Rock Mechanics and Rock Engineering, 2026)

The miR-335-5p/DKK1/autophagy axis regulates TNF-α-mediated dysfunction of dental pulp stem cells - Guijuan Feng; Lan Huang; Xiaofeng Sun; Fanting Sun; Han Su; Haoting Shi; Ke Zheng; Shiyu Shi (In Vitro Cellular & Developmental Biology - Animal, 2026)

Optimal design and performance evaluation of outrigger systems augmented with tuned viscous mass dampers - Dawei Li; Jianting Wang; Kangqian Xu; Jianping Han; Yonggang Gao (Bulletin of Earthquake Engineering, 2026)

CircGABRB2_006 Drives Malignant Progression and EMT in Papillary Thyroid Carcinoma via the miR-296-5p/FGFR1 Axis - Chuan Wan; Yanjun Guo; Han Guo; Jingjing Zhu; Fangchao Liu; Yunyuan Zhang; Bingfei Cheng; Juanjuan Li; Ying Xin; Bingzi Dong; Weiwei Fu; Dongmei Meng; et al. (Biochemical Genetics, 2026)

Effects of Pulsatile Flow on Fractional Flow Reserve Assessed Using a Reduced-Order Model - Wonjin Choi; Bon-Kwon Koo; Jung-Kyu Han; Inpyo Lee; Hyun Jin Kim (Annals of Biomedical Engineering, 2026)
Purpose Computationally derived fractional flow reserve (FFR) has emerged as a noninvasive alternative for evaluating the functional severity of coronary artery stenosis and supporting clinical decision-making. However, the intrinsic reliability of FFR under physiological variability remains an important unresolved issue. This uncertainty is difficult to quantify using high-fidelity simulations alone because of their prohibitive computational cost. The purpose of this study is to quantify the uncertainty of FFR estimates under stochastic, pulsatile physiological boundary conditions and to identify the dominant physiological contributors to FFR variability. Methods An accurate and computationally efficient uncertainty quantification framework was developed by integrating a reduced-order model derived from three-dimensional simulations with polynomial chaos expansion. The framework couples a calibrated one-dimensional coronary blood flow solver with physiologically informed lumped parameter networks, enabling efficient simulation of realistic pulsatile coronary hemodynamics. Seventeen physiological parameters related to myocardial mechanics and systemic circulation were treated as stochastic inputs, and global sensitivity analysis was conducted to assess their contributions to FFR variability. Results The sensitivity analysis identified the myocardial compression parameter as the dominant contributor to FFR variability, followed by selected systemic and cardiac parameters that contribute to aortic pressure. Across all simulated configurations, FFR demonstrated high robustness under broad physiological uncertainty, including cases near clinically relevant decision thresholds. A strong linear relationship was consistently observed between the mean FFR and its standard deviation, indicating that intrinsic hemodynamic variability changes systematically with stenosis severity; however, the magnitude of this variability remained limited within the physiological parameter space investigated. Conclusion This study provides a quantitative basis for interpreting the physiological robustness of FFR and for characterizing its intrinsic variability under realistic pulsatile hemodynamic conditions. The limited variability observed near clinically relevant decision thresholds supports the reliability of cycle-averaged FFR as a functional index of coronary stenosis severity. Within the physiological parameter space investigated, the limited influence of detailed pulsatile inflow information on cycle-averaged FFR also supports the practical use of steady or quasi-steady assumptions in many computational FFR workflows.

Ship Collision Avoidance Decision-Making Using Multi-Agent Deep Reinforcement Learning with MMG Manoeuvring Dynamics - Junheng Zhao; Jiongjiong Liu; Jinfen Zhang; Zhepeng Han; Wuliu Tian (Journal of Marine Science and Engineering, 2026)
With the rapid advancement of Maritime Autonomous Surface Ships (MASSs), developing intelligent decision-making systems that ensure navigation safety in complex waters has become a core priority for the maritime industry. To address the limitations of oversimplified ship dynamics, the instability in game-based strategies, and the presence of non-compliant ships in multi-ship encounters, a novel decision-making framework is developed based on Multi-Agent Deep Reinforcement Learning (MADRL). A three-degree-of-freedom (3-DOF) manoeuvring modelling group (MMG) model is incorporated to replace conventional constant-speed assumptions. By explicitly modelling the hydrodynamic forces acting on the hull, propeller, and rudder, the proposed framework captures the intrinsic coupling between the speed and heading, thereby ensuring that the generated manoeuvres conform to the physical and operational constraints. To achieve stable decision-making in multi-ship encounters, an MATD3-based decision-making module is integrated within a Centralised Training and Distributed Execution (CTDE) paradigm. This architecture enables ships to derive robust and decentralised policies, while benefiting from global information during training. In addition, the proposed method demonstrates a promising adaptability in the investigated multi-ship encounter scenarios. Simulations are conducted across a set of encounter scenarios restricted to open waters. The results demonstrate that the proposed framework achieves safe collision avoidance performance while generating COLREGs-consistent behaviours in basic encounters involving standard power-driven vessels under open-water conditions.

From Lab to Farm: A Low‐Cost Naked‐Eye On‐Site Detecting Platform for Cynoglossus semilaevis Parvovirus Based on Magnetic Beads Adsorption and LAMP ‐ HNB - Shu‐Xia Xue; Si‐Yu Yang; Meng‐Han Xu; Xin‐Rui Liu; Ye‐Xuan Liu; Zi‐Tong Li; Yi‐Xuan Li; Jia‐Ru Hu; Li‐Xian Huang; Xin‐Yi Zhang; Chang Lu; Yu‐Ru Liu; et al. (Journal of Fish Diseases, 2026)
Cynoglossus semilaevis parvovirus (CsPV) is an important pathogen that poses a serious threat to the aquaculture industry. In the absence of vaccines and effective therapeutic drugs, early and sensitive detection of the pathogen is the key measure to prevent and control the outbreaks and epidemics of viral diseases. Currently, the existing detection methods for CsPV are expensive and rely on specialized operations, limiting the application of on‐site detection. There is an urgent need for a low‐cost, user‐friendly detecting platform to prevent fish viral diseases. In this study, we confirmed skin mucus as a target tissue for non‐lethal sampling, established a simple proteinase K digestion, 2% CTAB lysis and silica‐hydroxylated magnetic beads adsorption method for extracting viral genomic DNA from skin mucus and developed a visual one‐pot loop‐mediated isothermal amplification (LAMP) detection method with a sensitivity of 4.69 × 10 1 copies/μL. Validation of the detection platform using clinical samples showed 97% sensitivity and 100% specificity. The cost of reagents for per sample was reduced from 16.6 CNY to 6.2 CNY. The low‐cost naked‐eye on‐site detection platform provides technical support for resource‐limited aquaculture farms to prevent and control emerging viral diseases in Chinese tongue sole.

Pre-divergence hybridization and adaptive introgression shaped the genetic architecture of East Asian domestic pigs - Yuzhan Wang; Yuan Kong; Qiqian Cui; Lizhi Tan; Xinyu Cai; Fenghua Lv; Zemin Ning; Jianlin Han; Yiqiang Zhao (Science China Life Sciences, 2026)

Pentoxifylline targets TLR4/MyD88/NF-κB signaling to ameliorate neuroinflammation and metabolic dysfunction in a rat model of chronic hypoperfusion-induced vascular cognitive impairment - Xiaohan Wang; Bingchuan Xie; Xiaoyang Yuan; Jiaying Rong; Xiaojing Lv; Qingying Ma; Li Shen; Bing Han (Metabolic Brain Disease, 2026)

Glycolytic enzyme PGK1 restricts viral replication via a glycolysis-independent mechanism - Yanli Wei; Shuai Xu; Qian Wang; Yinghong Jin; Jucai Ding; Jiaxin Huang; Lu Han; Caoqi Lei; Jun Xia; Qiyun Zhu; Hualan Chen (Science China Life Sciences, 2026)

A Predictive Model for the Characterization of the Influence of Thermal Damage Defect Scale on the Mechanical Properties of MICP-Healed Rock Fractures: Insights from Microchanical Testing and Nano-CT Imaging - Qi-Chen Dai; Xiao-Hua Pan; Han-Jiang Lai; Chao-Sheng Tang; Zhi-Hao Dong (Rock Mechanics and Rock Engineering, 2026)

The MPOA-VTA Pathway: From Pup Care to Adult Helping - Keyu Chen; Jingkai Fan; Han Xu (Neuroscience Bulletin, 2026)

BRSK2 accumulation mediated by TRIM28 accelerates hepatocellular carcinoma progression via activating the PI3K/AKT/mTOR signaling pathway - Shengjin Han; Tan Liang; Cui Yang; Yunlong Xing; Jianzhong Ma; Zhengwu Zhou; Zixiang Chen; Yijun Zhao; Jiangming Chen; Fubao Liu (Molecular and Cellular Biochemistry, 2026)

The METTL3/TRIM37 axis contributes to the progression of non-alcoholic fatty liver disease by promoting CAV1 degradation - Lingyun Geng; Xiaoxu Han; Zhaoxia Du; Man Jiang (Molecular and Cellular Biochemistry, 2026)

Photophysical Properties and Charge Transfer Mechanism of D-π-A Zinc Porphyrin Dyes: Effect of Nitrogen Atom Substitution - Songfeng Li; Jiayu Han; Tao Liu; Zhongkui Zhang; Yuanzuo Li (Journal of Fluorescence, 2026)

Cold-induced shifts along the fast–slow continuum in Brachionus rotifers: adaptive integration of life history, reproduction, and behavior - Chengyan Han; Hang Yu; Yukina So; Zhan Ling; Takafumi Okaue; Shuang Han; Atsushi Hagiwara; Yoshitaka Sakakura (Hydrobiologia, 2026)

Age outweighs route for AAV-PHP.eB transgene distribution via inner ear delivery - Shuang Han; Yi Zhou; Honghai Tang; Shao Wei Hu; Guannan Geng; Ziting Chen; Sen Zhang; Hongbo Tang; Huawei Li; QingShan Jiang; Yilai Shu (Drug Delivery and Translational Research, 2026)

A digital PCR-based platform for rapid assessment of chloroplast stress adaptation in microalgal metabolic engineering - Jinuk Jeong; Seohyun Park; Kornsorn Srikulnath; Byung Sun Yu; Kyudong Han (Genes & Genomics, 2026)

Refined Prediction of Strain-Softening Parameters of Marine Soft Clay Using Cyclic T-Bar Penetration Tests - Yujian Sun; Qinglai Fan; Cunzhong Sun; Zhaoxia Lin; Yunrui Han (Journal of Marine Science and Engineering, 2026)
T-bar penetrometers are widely utilized for measurements of strength characteristics of soft clay in offshore field investigations and laboratory tests. To obtain strain-softening parameters of marine soft clay, it is necessary to conduct cyclic T-bar tests below the critical penetration depth. Therefore, this study conducted CEL large-deformation finite-element analyses to simulate the entire penetration process of T-bar in strain-softening soils. An equation for predicting the critical penetration depth is proposed, taking into account both the amount and the rate of strength reduction of clay. The numerical results indicate that the minimum depth for initiating the pull-out phase of the cyclic test is the full-flow penetration depth plus three times the T-bar diameter, which ensures that the surrounding soil remains in a full-flow mechanism throughout the cyclic test. Moreover, a refined resistance degradation model is proposed, which corrects a defect in the existing model, which is that when the number of cycles is equal to N95, the predicted result of the model does not reach 95% degradation in penetration resistance. Then, an estimation method for strain-softening parameters of soft clay is developed. The method based on the refined resistance degradation model is verified by comparing the estimated values with the numerical simulation results in this paper and the available test data.

Petrocosmea anoleuca (Gesneriaceae), a new species from limestone cliffs in Yunnan, China - Cheng Liu; Jie Cai; Liang-Liang Zhong; Jin-Chao Zhao; Qiang Wang; Meng-Qi Han (Kew Bulletin, 2026)

Aspartate Aminotransferase 10 Enhances Salt Tolerance in Poplar by Regulating Ion Homeostasis, Antioxidant Defense, and Transcriptional Remodeling - Mei Han; Xiaoning Liu; Yaxin Sun; Xiao Zeng; Fei Wu; Yujie Zhai; Tao Su (Journal of Plant Growth Regulation, 2026)

Possible self-purification of natural waters by quinone-containing contaminants - Ayoung Choi; Changseok Han; Eric Lichtfouse; Virender K. Sharma (Environmental Chemistry Letters, 2026)

The impact of leaf litter from native mangrove and invasive cordgrass on coastal sediment nitrogen removal - Wenhao Su; Ehui Tan; Zhibo Shen; Shiheng Tang; Yongkai Chang; Le Liu; Jianan Liu; Zhixiong Huang; Yu Han; Shuh-Ji Kao (Plant and Soil, 2026)

FAL1 facilitates cisplatin resistance of lung adenocarcinoma via BMI1/BIM-mediated apoptosis–autophagy interaction - Teng Ma; Yang Xia; Yijiang Chen; Han Lin; Chunfeng Pan (Molecular and Cellular Biochemistry, 2026)

Fast, Portable and Convenient Detection of Zn2+ By a Naphthol-Based Fluorescent Chemosensor - Soobeen Kim; Eunha Han; Cheal Kim (Journal of Fluorescence, 2026)

Integrated hydrochemical assessment and health risk evaluation of coastal groundwater under seawater intrusion and anthropogenic influence in Weihai, North China - Linxian Huang; Kai Hu; Zhong Han; Xiaonong Hu; Liting Xing; Hui Liu; Hao Liang; Henghua Zhu (Environment, Development and Sustainability, 2026)

Displacement response spectra based on 2DOF system for the isolated design of railway bridges - Sen Yang; Huihui Dong; Xiuli Du; Qiang Han (Bulletin of Earthquake Engineering, 2026)

Coupled Aero-Hydro-Elastic Response Analysis of 16 MW Semi-Submersible and TLP Floating Wind Turbines - Kangzhe Li; Jinghong Shang; Liang Liu; Xuliang Han; Xing Zheng; Guangyuan Cheng (Journal of Marine Science and Engineering, 2026)
This study investigates the dynamic performance characteristics of 16 MW-class floating wind turbines supported by semi-submersible and tension leg platform (TLP) concepts, with the aim of providing guidance for platform selection. High-fidelity coupled aero-hydro-servo-elastic models were developed in OpenFAST for both floating platform configurations. Dynamic simulations were carried out under operational conditions for five wind–wave inflow directions with aligned environmental loading. The responses of the floating systems were comprehensively evaluated in terms of platform six-degree-of-freedom motions, tower structural behavior, blade aeroelastic loads, and aerodynamic performance. The results show that the TLP configuration provides enhanced hydrodynamic stability, reduced platform motions, and improved aerodynamic efficiency compared with the semi-submersible platform. In contrast, the semi-submersible configuration exhibits lower aeroelastic loading levels. Furthermore, platform-induced hydrodynamic excitations significantly amplify the elastic responses of both the tower and blades, leading to noticeable variations in aerodynamic performance. These findings provide useful insights into the design and selection of next-generation large-scale floating wind turbine platforms.

New cytotoxic p -hydroxybenzoic acid and sesquiterpene-derived amides from Aspergillus fumigatus J2-22-1 - Wenjie Han; Huiying Liu; Meng Ren; Nanxin Gong; Xupei Men; Yurun Wang; Taoshuai Cao; Xiaomei Song; Hongliang Tang; Xiaolong Zhao; Jun Zhang; Du-Qiang Luo (Natural Product Research, 2026)

Two new protoflavonoids from Polytrichum commune and their cytotoxicity against human gastric cancer cells - Jing-jing Dong; Dan-rui Han; Hao Cheng; Xu-liu Shi; Dong-Lai Ma; Jian-kun Yan; Xu-Hong Duan (Natural Product Research, 2026)

Chemical composition of the endogenous fungus Fusarium sp. L-3 derived from Chinese Qinan agarwood - Ming-Li Han; Qing-Yun Ma; Li Yang; Qing-Yi Xie; Jiao-Cen Guo; Hao-Fu Dai; Na Xiao; You-Xing Zhao (Natural Product Research, 2026)

6-Shogaol attenuates cisplatin-induced gastrointestinal inflammation involving modulation of the putative mTOR/TFEB-mediated autophagy-lysosomal pathway - Wenzhuo Zhang; Qingqing Liu; Chenglu Yang; Lei Feng; Yunjing He; Yujie Gao; Yusu Wang; Siyu Han; Yarong Zhai; Ke Nie (Naunyn-Schmiedeberg's Archives of Pharmacology, 2026)

Exogenous phytohormones as protective agents against high light-induced bleaching in Betaphycus gelatinae - Zexu Liu; Haolong Zheng; Xiangyu Wu; Shouguo Yang; Han Yang; Yifang Zhao; Yixuan Xing; Xianming Tang; Zhifeng Gu; Yaohua Shi; Feng Yu (Journal of Applied Phycology, 2026)

Trends of Eddy Kinetic Energy in the South China Sea Observed from Three Decades of Satellite Altimetry Records - Mengrong Ding; Yujie Han; Yong Jiang; Hailong Liu; Pengfei Lin; Yaqi Wang (Advances in Atmospheric Sciences, 2026)

Genome-wide identification and expression analysis of the pectate lyase (PEL) gene family in soybean (Glycine max (L.) Merr. ) - Shuo Wu; Wanqing Du; Yu Han; Zhenggang Wang; Yujuan Gu; Xianlong Ding; Shouping Yang (Genetica, 2026)

Channel ratio normalized calibration of the solar reflectance bands from FY-3D/MERSI lunar observations - Kang Chen; Zhongyi Han; Zhao Wang; Yujie Cui; Mingkun Wang; Hanbo Zhen; Peng Gao; Jingjing Ai; Chengli Qi; Dawei Zhang; Xiaolin Wang (International Journal of Remote Sensing, 2026)

Response of juvenile black rockfish (Sebastes schlegelii) to water temperature: Growth, antioxidant capacity, and metabolism - Xinting Mu; Qing Li; Zhiqiang Zhang; Xiaoqian Cheng; He Ma; Tomoaki Itayama; Rui Han; Yinghai Wu (Aquaculture International, 2026)

Liquid-liquid phase separation-driven enzyme catalysis for efficient biosynthesis of isoprenoid natural products - Han Wang; Bing-Bing Ma; Fei Cao; Ji-Jin Xie; Bei-Bei Wang; Shao-Yong Zhang; Ji-Dong Wang; Zha-Jun Zhan; Yu-Mei Ge; Xu-Ming Mao (Science China Life Sciences, 2026)

GATESynergy: Integrating Molecular Global-Local Aggregator and Hierarchical Gene-Gated Encoder for Drug Synergy Prediction - Yan Wang; Jiana Ding; Zhiyao Han; Chenxu Si; Yunzhi Liu; Nan Sheng; Lan Huang (Interdisciplinary Sciences: Computational Life Sciences, 2026)

Compartment-specific Zinc Misallocation in Diabetic Foot Ulcers: Mechanistic Coupling Between Macrophage M1 Locking and MMP-9 Hyperactivation - Aiden Yi-Fei Wang; Atiqah Aziz; Han-Ling Tan; Xiu-Wen Ling; Terry Hao-Yu Qin (Biological Trace Element Research, 2026)

B-MARCO: a blockchain-driven multi-national auction and resource optimization framework for cross-border logistics and trade - Mei Sha; Shuang Li; Tao Zhang; Han Liu; Jianli Shen; Xiaohu Huang; Jiahua Hu (Frontiers in Marine Science, 2026)
Cross-border maritime logistics requires coordination among carriers, ports, customs authorities, and financial institutions, yet existing workflows are often constrained by fragmented regulatory data systems, inefficient dynamic capacity matching, and slow batch-based clearing. This paper proposes B-MARCO, a blockchain-driven multi-national auction and resource optimization framework for cross-border maritime logistics. B-MARCO integrates permissioned consortium coordination, rolling auction-based market clearing, a hybrid GA-GSA dispatching engine, and privacy-preserving access-control and compliance-verification components. The evaluation uses a semi-synthetic discrete-event simulation with a 7-day horizon, hourly decision intervals, 30 random seeds, and shared order streams across all configurations. Under a 5,000-orders/day workload, B-MARCO achieves a 91.80% transaction success rate and 21.53 h average end-to-end latency, compared with 60.09% and 36.66 h for the 24-hour batch-clearing baseline. Relative to a centralized rolling-matching baseline, it reduces average latency by 13.60%. The ablation results show that rolling auction clearing reduces latency, while smart-contract-based settlement-delay reduction is a major contributor to improved success and deadline performance. These findings support the value of combining rolling market clearing with spatial-temporal dispatch optimization in simulated cross-border maritime logistics, while the blockchain and cryptographic modules define the broader coordination, auditability, and data-governance architecture.

Comparative mitogenomics of Brachionus rotifers reveals conserved bipartite mitochondrial architecture with lineage-specific divergence - Chengyan Han; Min-Sub Kim; Diego Fontaneto; Zhou Yang; Shuang Han; Yoshitaka Sakakura; Jae-Seong Lee; Atsushi Hagiwara (Hydrobiologia, 2026)

Multi‐Scale Meteorological Drought Return Periods and Climatic Associations in the Guangxi Karst Region Based on SPEI and 3D C‐Vine Copula - Hu SiYi; Tang Xiangling; Li Wei; Han YiSong; Li Jianhong; Tang Yaoguo; Wu YeZheng (International Journal of Climatology, 2026)
Based on ERA5 reanalysis data (1940–2023), this study integrates trend tests, a three‐dimensional C‐vine Copula model, and cross‐wavelet analysis to assess multi‐scale meteorological drought in the Guangxi Karst Region, a typical humid subtropical karst ecosystem. Our results show that Guangxi exhibits an overall warming‐drying trend, with significant increases in drought duration, severity, and peak since the early 21st century; however, only continuous karst regions show a statistically significant warming‐drying trend. Drought risk is generally higher in karst regions than in non‐karst regions, with differences showing scale and return period dependence. The joint risk of 20‐year return period extreme drought follows a “low in the northeast, high in the southwest” spatial pattern. Extreme heat (TX90p) exhibits the strongest statistical association with annual‐scale drought, contributing more than consecutive dry days (CDD) and ENSO. While short‐ to medium‐term droughts have shown recent alleviation, annual‐scale drought has intensified persistently. These findings provide a scientific basis for refined drought risk management in humid subtropical karst regions.

Atmospheric Rivers Amplify the Severity of Summer Humid Heatwaves in Northern China - Xuelei Han; Bo Liu; Shuanglin Li; Xupeng Ji (International Journal of Climatology, 2026)
Humid heatwaves (HHWs) pose severe risks to human health, agriculture, and economics, yet the modulation of these events by atmospheric rivers (ARs) remains poorly understood in East Asia. This study investigates the impact of ARs on summertime HHWs across mainland China. Overall, ARs increase the average HHW intensity in mainland China by 13.0%, with pronounced intensifications of 19.6% in Northwest China and 19.3% in Northeast China. Under AR scenarios, the proportions of extreme HHWs in Northwest China and Northeast China show remarkable relative amplifications of 93.9% and 237.9%, respectively. Mechanism analyses reveal a competing interplay between radiative cooling and moisture advection. While AR‐induced cloud cover significantly attenuates surface shortwave radiation and slightly cools the near‐surface air, this effect is overwhelmed by intense moisture transport. The resulting increase in humidity ultimately drives an increase in wet‐bulb temperature. These findings underscore the importance of AR monitoring for forecasting and early warning of extreme HHWs in China.

Comparative review of colloidal delivery strategies for hydrophobic bioactives: Pickering emulsions, emulsion gels, and nanogels - Congxi Xu; Weiwei Cheng; Xinshuai Zhang; Xiangxiang He; Feng Xiao; Jialiang He; Suna Han; Jihong Huang (Critical Reviews in Food Science and Nutrition, 2026)

RPS5 modulates inflammatory response and angiogenesis in coronary heart disease through NF-κB signaling activation - Suxia Han; Wanqiu Li; Yan Huang; Yifei Xu; Haihan Song; Weigang Qi (Molecular and Cellular Biochemistry, 2026)

Driving mechanisms and economic coupling development of agricultural net carbon sink in Chongming Island, Shanghai: a synergistic approach using LMDI-Tapio and entropy weight methods - Yuhong Wang; Hong Tao; He Zhang; Feichao Zhang; Han Zhang; Anthony G. Hay (Environmental Science and Pollution Research, 2026)

Quantum-Inspired Bio-Optimization for Robust Received Signal Strength-Based Underwater Target Localization in Noisy Stratified Acoustic Environments - Shiyi Han; Xiaojun Mei; Huafeng Wu; Jiangfeng Xian; Yuanyuan Zhang; Xinqiang Chen (Journal of Marine Science and Engineering, 2026)
Robust underwater target localization is essential for marine sensing and monitoring. However, RSS-based localization is affected by ray bending caused by sound-speed variations, anchor-node position perturbations, and non-line-of-sight (NLOS) propagation biases, resulting in a nonlinear and noise-sensitive estimation problem. To address these challenges, this paper proposes a Quantum-Inspired Animated Oat Optimization (QIAOO)-based localization algorithm for stratified underwater acoustic environments. First, a multi-error-coupled RSS localization model is established by jointly considering acoustic ray propagation effects, anchor-node perturbations, and NLOS propagation biases. Subsequently, the QIAOO algorithm is developed to solve the resulting nonlinear optimization problem, where quantum-inspired initialization, elite opposition-based learning, and a dynamic Cauchy–Gaussian mutation mechanism are incorporated to enhance search diversity and convergence performance. In addition, the Cramér–Rao Lower Bound (CRLB) is derived under the same localization model to provide a theoretical performance benchmark. Simulation results demonstrate that the proposed method outperforms benchmark algorithms in terms of localization accuracy and robustness under various scenarios.

A voyage-level threshold analysis of planned turnaround vulnerability in cruise ports from an AIS big data perspective - Shengjun Gan; Shikai Hu; Han Zhang; Kai Luo; Rui Yang; Salvatore Antonio Biancardo (Frontiers in Marine Science, 2026)
Introduction Cruise port operations are facing increasingly significant challenges in departure reliability amid frequent climate variability, port congestion, supply chain disruptions, and geopolitical risks. Unlike existing studies that mainly explain cruise delays from the perspectives of weather conditions, external shocks, or supply chain risks, this paper focuses on whether port turnaround planning itself may constitute an endogenous source of vulnerability. Methods To identify this issue, this study uses the daily AIS data for the United States released by Marine Cadastre. These data are combined with planned berthing information, weather data, and vessel characteristics to construct a sample of 3,238 cruise ship–port–day observations. The study defines planned turnaround time as a time-based buffer resource in voyage-level operations. It then applies a fixed effects model, a threshold regression model, a half-hour interval model, mechanism tests, heterogeneity analysis, and moderation analysis to systematically examine the impact of planned turnaround time on departure reliability and its operational boundaries. Results The results show a significant threshold-type nonlinear relationship between planned turnaround time and departure delay. An 8.5-hour threshold is identified as the main data-driven cutoff, while a meaningful buffering effect is mainly observed within 8 hours. The interval of 8.0–8.5 hours is better viewed as a transition range where marginal benefits begin to decline. Mechanism tests indicate that actual berthing service time is the most stable primary transmission channel of planned turnaround vulnerability, while port queuing pressure and berth occupancy pressure further modify the marginal effect of planned turnaround time. Discussion This study moves the analysis of cruise departure delays from explanations based on exogenous shocks to the identification of endogenous vulnerability. By revealing that planned turnaround time itself can become a source of risk under specific threshold conditions, these findings complement existing resilience literature that has primarily focused on external drivers. It provides new micro-level evidence for understanding the resilience of cruise port operations, optimizing schedule planning, and improving port coordination efficiency.

Correction: Autogenic and climatic drivers of vegetation succession in a thermokarst lake-margin peatland, northern Greater Khingan Mountains - Dongxue Han; Jiangtao Gao; Jinxin Cong; Guoping Wang; Chuanyu Gao (Vegetation History and Archaeobotany, 2026)

Integrated deep learning and multi-scale modeling for the discovery of pan-genotypic HCV NS5B polymerase inhibitors - Di Han; Fengxiang Liu; Xiangbing Peng; Yifan Wang; Zhipeng Shi; Yiwei Xue; Hongkun Yang; Meiting Wang; Jiarui Lu; Taigang Liu; Shaoli Cui; Yongtao Xu (Molecular Diversity, 2026)

A Phase Field Model for Rock Fracture Based on the Modified Mohr–Coulomb Failure Criterion - Mingtao Zhang; Gen Li; Guang Han; Laigui Wang; Xiangfeng Liu; Qi Sun; Chuang Sun; Jinyang Du (Rock Mechanics and Rock Engineering, 2026)

Semi-Analytical Study on SH-Wave Scattering by a Lining Structure of a Rectangular Tunnel in a Quarter-Space - Ni An; Chunhui Yang; Han Gao; Zishi Li (Rock Mechanics and Rock Engineering, 2026)

Microplastic contamination in giant tiger prawn and greasyback shrimp from Malaysian waters - Wei Lin Wong; Tony Hadibarata; Risky Ayu Kristanti; Undang Hernawan; Budi Kurniawan; Mohammad Noor Hazwan Jusoh; Josfirin Uding Rangga; Han Kiat Chin; Anisa Ratnasari (Environmental Sustainability, 2026)
Microplastics (MPs) are ubiquitous contaminants in the marine environment. The potential pathway through the food web to humans is a general public concern. Commonly consumed marine organisms have never been studied for the presence of MPs as an entry route into the food chain. This study selected Penaeus monodon (tiger prawn) and Metapenaeus ensis (greasyback shrimp) because of their commercial importance, high consumption rates, and consistent availability in Miri, Sarawak, Malaysia. Samples were collected from major fish markets supplied by both coastal fisheries and aquaculture farms. The gastrointestinal tracts of both species were analyzed under a microscope, and Attenuated Total Reflectance Fourier-Transform Infrared (ATR–FTIR) spectroscopy was performed on suspected MPs based on their physical characteristics. All samples contained plastic: 280 ± 91 pieces/kg wet weight for P. monodon and 457 ± 171 pieces/kg for M. ensis . Fibers were the dominant shape of the MPs observed, followed by fragments and pellets; black was also the dominant color. Most of the particles determined by size were within 500 to 1000 μm in dimension. Polyester and polystyrene were the two major types of polymers by the FTIR analysis. This calls for urgent reinforcement in food safety measures accompanied by environmental policy interventions directed towards microplastic contamination in seafood that encapsulates potential health risk avenues to consumers as well as broader ecological impacts.

Hybrid-distance whale optimization for super learner ensemble modeling of reference evapotranspiration - Mohammed Saied Aly; Jian-Jun Han; Yan Xiao; Jie Liu (Acta Geophysica, 2026)

Cell-Type-Specific Calibration of Mitochondrial Ubiquitination in Stem Cell Fate Decisions - Hao-Cheng Liu; Si-Yuan Chen; Nan-Nan Yu; Mei-Hua Jin; Hu-Nan Sun; Ying-Hao Han (Stem Cell Reviews and Reports, 2026)

Dual recombinase-mediated genetic labeling and selective ablation of fibroblasts - Zhicong Liu; Maoying Han; Lei Liu; Zhenqian Zhang; Bin Zhou; Daqing Ma; Qiang Shu (Science China Life Sciences, 2026)

A new library of pyridine carboxamides for the control of peach brown rot: synthesis, antifungal activity, and preliminary mode of action - Hongying Liu; Wenchen Huang; Lingxia Wang; Jia Chen; Xiaohuan Han; Jingang Wang; Tao Wang; Yuan Zhou (Molecular Diversity, 2026)

Neural network approach for predicting outcomes of external cephalic version for breech presentation: a retrospective cohort study - Yuting Xiang; Wenjian Yang; Haote Han; Haixia Lin; Wanhua Wu; Suran Huang; Hao Wang; Ning Hu; Zhongjun Li (Journal of Zhejiang University-SCIENCE B, 2026)

Age-associated DNA methylation patterns in mouse blood and tail: feasibility of tissue-specific epigenetic clock development - Jiwon Shin; Seungmin Song; Yerim Han; Jieun Lyu; Yoon Jung Park (GeroScience, 2026)

A comprehensive PTM atlas of Dermatophagoides farinae reveals an acylation-dominated landscape of allergens - Dan Zeng; Xinhui Gong; Ying Zhou; Lingli Han; Panpan Han; Cunyin Yuan; Dongmei Zhou; Ximeng Ma; Yubao Cui (Science China Life Sciences, 2026)

Isoferulic acid alleviates LPS/D-galactosamine-induced acute liver injury in mice by inhibiting ERK/NF-κB signaling and modulating the NLRP3 inflammasome - Fu-Chao Liu; Yuan-Han Yang; Chia-Chih Liao; Hung-Chen Lee (Naunyn-Schmiedeberg's Archives of Pharmacology, 2026)

Targeting the GLIS1/DNMT3B-mediated DNA Methylation of HOXA9 to Suppress Metastasis in Lung Adenocarcinoma - Ling Jiang; Xiaolin Zhang; Meng Dai; Ying Bi; Lingling Han; Xiaofeng Tao; Qi Wang (Molecular and Cellular Biochemistry, 2026)

2025 stratigraphic manual of the Korean South Sea - Jae-Hyuk Lee; Jae-Ho Lee; Yun-Hui Je; Seok-Hoon Yoon; Seik Paik; Seung-Rok Han; Ahreum Woo; Jae-Ho Jeon; Donghyun Lim; Seonmi Lim; Jaewon Choi; Eunjung Kim; et al. (Geosciences Journal, 2026)

Transcriptomic analysis reveals organ-specific adaptations in the gut-liver axis during diet domestication of mandarin fish (Siniperca chuatsi) - Hao-Yu Li; Zhi-Guang Hou; Yi-Huan Xu; Cheng-Bin Wu; Zun-Li Qi; Xiao-Wei Gao; Chun‑Long Zhao; Xin Zhao; Li-Han Zhang (Aquaculture International, 2026)

Organic acids in four representative fermented alcoholic beverages: absorption, metabolic fate, and molecular mechanisms of health benefits - Xiaolu Tian; Rui Zhang; Haijue Zhang; Yi Liang; Yunxiang Ma; Zixuan Yang; Fuliang Han (Critical Reviews in Food Science and Nutrition, 2026)

Crowning the King of Fruits: Genomic Evidence of Population Structure and Relatedness in Malaysian Durians - Hung-Hui Chung; Li Yuan Liew; Adriana Batrisyia Mohd Faisal; Leonard Whye Kit Lim; Han Ming Gan (Tropical Plant Biology, 2026)

Enterococcus hirae Y-HS Alleviates Ulcerative Colitis by Activating PXR/Nrf2-mediated Metabolic-immune Crosstalk - Fuming You; Han Bao; Wentong Li; Hanzhao Zhang; Yang Li; Jiang Li; Mingao Sun; Yuxia Yang; Luomeng Chao (Probiotics and Antimicrobial Proteins, 2026)

Neuro-symbolic framework for multi-USV coordination: COLREGs-compliant and energy-efficient smart navigation - Shuai Huang; Yi-Feng Chen; Mao-Yuan Sun; Jia-Ning Gao; Yu-Han Zhou; Jing-Wen Zeng; Cheng-Chen Wang; Ya-Ze Han; Yang Xiong (Frontiers in Marine Science, 2026)
Introduction Coordinating multiple unmanned surface vehicles (USVs) in coastal waters requires simultaneous consideration of COLREGs compliance, real-time response, energy efficiency, fault tolerance, and semantic scene understanding. Existing approaches typically address only part of this problem and provide limited support for integrated fleet-level coordination. Methods This paper proposes NSC-Marine, a neuro-symbolic framework that conceptually addresses these coupled constraints. It combines multimodal causal perception, LLM-based rule reasoning, energy-aware motion planning, and distributed fault reconfiguration within a dual-rate control architecture. To improve deployment safety, semantic reasoning is used to generate structured constraints, while low-level motion execution remains under deterministic planning and control. Results The framework is evaluated strictly within a physics-based simulation environment with approximately 70% overall fidelity, involving 1,000 trials of 20–100 USVs under Beaufort Scale 3–5 conditions. Under these simulated conditions, NSC-Marine achieves 88.7% ± 2.3% COLREGs compliance, 82.3% mission success under compound faults, and 13.6% energy reduction relative to the RLCA baseline, while maintaining a 320 ms critical-path latency. Discussion These metrics reflect an idealized simulation baseline and must not be generalized to physical deployment readiness. Real-world performance remains unvalidated, and staged hardware-in-the-loop testing and field trials are required to characterize the system’s actual behavior under physical disturbances.

Inhibitory effect of gut microbiota-fermented trisaccharide GuFGa (Glc-Fuc-Gal) on Campylobacter jejuni: insights from transcriptomic and metabolomic analyses - Xinmiao Ren; Shuang Li; Changyun Wang; Francesco Secundo; Ningyang Li; Mengshi Xiao; Min Yang; Rong Li; Qing Kong; Han Sun; Xiaodan Fu; Haijin Mou (Marine Life Science & Technology, 2026)

Microplastics Inhibit Microbial Abundance and Enzyme Activities in Pb/Cd Co-contaminated Soil: The Alleviating Role of Biochar - Si-Yu Liu; Feng Han; Li-Qi Ma; Zheng Li; Chun-Ru Qin; Ikram Yaqine (Journal of Soil Science and Plant Nutrition, 2026)

Dose-Dependent Effects of Soil Boron Concentration on Yield Formation and Grain Quality in Foxtail Millet - Yijuan Zhang; Peiyu Xian; Ruiyu Yang; Fei Wang; Yumei Su; Hongying Li; Yuanhuai Han (Journal of Soil Science and Plant Nutrition, 2026)

Machine learning-based parameter adaptation approach for modeling hysteretic axial-shear-flexure interaction in RC columns - Zi-Nan Wu; Xiao-Lei Han; Ahmed Y. Elghazouli (Bulletin of Earthquake Engineering, 2026)
Reinforced concrete (RC) members subjected to seismic loading experience variable axial forces and shear spans, which induce axial–shear–flexural interaction that governs their hysteretic behavior. Existing interaction models rely on complex constitutive assumptions such as smeared crack formulations, resulting in high computational demand and convergence difficulties, limiting their applicability for system-level assessments. To address these limitations, this study proposes a machine learning (ML)-based parameter adaptation approach that embeds ML surrogate models into lumped plasticity formulations with an adaptive updating mechanism. The suggested framework enables skeleton and hysteretic parameters to be dynamically updated during the analysis in response to variations in axial load, shear span, and cumulative damage, thereby capturing both cyclic degradation and axial–shear–flexure interaction. The approach is implemented for RC columns through the development of an adaptive hysteretic model. Ensemble neural networks, optimized via a complexity-aware grid search, are trained on a database of 286 cyclic tests with a balanced distribution of flexure-, flexure–shear-, and shear-critical specimens. These surrogate models are integrated into OpenSees through cross-platform coupling of Python-based ML routines and C++ numerical analysis to develop the adaptive model. Examination of adaptive features, coupled with experimental validations, confirm the accuracy of the proposed approach in capturing hysteretic axial–shear–flexural interaction under varying axial loads and shear spans, while achieving superior predictive performance and markedly reduced computational demand compared with existing interaction models. The results show that neglecting axial–shear–flexural interaction may significantly overestimate deformation and energy dissipation capacities. To this end, the proposed approach is shown to provide a reliable and efficient method for incorporating these effects into seismic resilience assessments.

Changes in the Frequency, Duration, Intensity, and Dominant Types of Droughts in the Yellow River Basin From 1961 to 2020 - Suping Wang; Qiang Zhang; Jinhu Yang; Haitao Han (International Journal of Climatology, 2026)
A comprehensive understanding of drought evolution in the Yellow River Basin (YRB) is essential for effective drought mitigation and water resource management. Based on the daily‐scale Modified Comprehensive Meteorological Drought Index (MCI), this study analyzes the spatiotemporal characteristics of drought in the YRB over the past 60 years. The main findings are: The average annual drought days exceed 60, with high‐frequency areas (> 120 days) concentrated in the upper‐middle reaches junction, the eastern middle reaches, and the western lower reaches. Most areas show a decreasing trend in drought days, with the most significant reduction in the source region (20 days/decade). Drought regimes vary regionally: the source region experiences infrequent, short, and mild droughts; the middle‐lower section of the upper reaches has infrequent but prolonged and intense droughts; while most middle‐lower reaches face frequent, short‐duration, yet relatively high‐intensity droughts. Spring drought dominates (25%–40%), followed by summer drought (15%–30%), with spring–summer consecutive drought being the most common cross‐seasonal pattern. During drought events, precipitation deficits are more pronounced in the middle‐lower section of the upper reaches and the lower reaches. Evapotranspiration anomalies are generally higher in the middle‐lower reaches. Precipitation‐dominated droughts (20%–35%) mainly occur in the middle‐lower section of the upper reaches. Evapotranspiration‐aggravated droughts (25%–35%) are concentrated in the source region. Synergistic droughts (25%–30%) are mainly found in the eastern middle reaches, the lower reaches, and localized areas. Since 1961, precipitation‐dominated droughts have decreased, while evapotranspiration‐aggravated and synergistic droughts have increased in most parts of the YRB. Daily‐scale monitoring enables a more accurate characterization of drought processes, providing critical insights for regional drought management and supporting ecological conservation and high‐quality development in the basin.

Analyte–electrode interactions and analytical performance of electrochemical-SERS in complex food matrices - Heera Jayan; Ruiyun Zhou; Limei Yin; En Han; Chen Wang; Xiaobo Zou; Zhiming Guo (Critical Reviews in Food Science and Nutrition, 2026)

Propagation-Time-Consistent Ray-Path Correction for Long-Baseline Underwater Acoustic Localization - Zhichao Lv; Siyuan Wang; Libin Du; Gang Wang; Kaiyan Han; Fei Yu; Guoli Song (Journal of Marine Science and Engineering, 2026)
Non-uniform sound velocity profiles (SVPs) cause sound-ray refraction and propagation-path bending. The straight-line mapping among propagation time, propagation distance, and target position is, therefore, disrupted, leading to systematic errors in constant-sound-speed localization. To improve the consistency between propagation correction and geometric localization, an iterative ray-path correction method based on propagation-time consistency is proposed. The method contains three coupled steps. First, a path-dependent local layered SVP model is constructed for each target-to-base-station path, rather than using a global or fixed sound-speed model. Second, the ray parameter is inverted under the constraint of measured time-of-arrival (TOA), so that the corrected ray path remains consistent with the observed propagation time. Third, the corrected slant range obtained by layered ray tracing is fed back into a known-depth weighted least squares (WLS) localization model, forming a closed-loop position update. The method is evaluated through long-baseline (LBL) simulations with multiple SVPs and propagation geometries and is validated using measured TOA data and an observation-derived SVP. The simulation results show that sub-meter accuracy can be achieved under the tested TOA-noise conditions. In measured-data validation, the planar localization error is reduced from 4.6866 m to 0.1923 m. No divergence is observed in the tested small SVP-perturbation cases.

Stage-dependent environmental filtering and microbial community reassembly in a full-scale upflow anaerobic sludge blanket (UASB)-two-stage anoxic/oxic (A/O) landfill leachate treatment system - Yan Huang; Shanhui Wang; Yong Zhang; Han Zhang; Dongru Qiu (World Journal of Microbiology and Biotechnology, 2026)

A Functional Limosilactobacillus reuteri ZY18 Strain: Probiotic Properties and Associated Anti-inflammatory Responses Against ETEC K88 Infection - Xin Xu; Jiahao Meng; Hongwei Zhang; Kun Meng; Zihan Zhang; Jiayi Sheng; Hongying Cai; Weiwei Liu; Yunsheng Han; Peilong Yang (Probiotics and Antimicrobial Proteins, 2026)

Extraction and identification of polyphenols from Viburnum fordiae fruits with their α -amylase and α -glucosidase inhibitory activities - Jia Chen; Wei Ji; Hong-Juan Zhou; Zi-Han Wang; Meng-Ya Yang; Jian-Hua Shao; Chun-Chao Zhao (Natural Product Research, 2026)

Critical assessment of synthetic microbial community strategies in vinegar brewing: from design paradigms to industrialization bottlenecks - Shiyuan Lin; Yongjian Yu; Yuanyuan Zhu; Ke Wang; Zhen Yu; Yuqin Wang; Dong Han; Xuezhi Wu; Nan Zhang; Shuaiwei Dou; Yunsong Yang (Critical Reviews in Food Science and Nutrition, 2026)

Iterative 3D Implicit Orebody Modeling Based on Automatic Refinement of Off-Surface Points - Xiancheng Mao; Yuanqian Nie; Zhankun Liu; Hao Deng; Jin Chen; Xiaowen Han (Natural Resources Research, 2026)

Microbiome immune crosstalk in Sjögren’s syndrome: mechanistic insights and translational perspectives - Xiang-Yu Qi; Meng-Yuan Wang; Tian-Chi Wei; Fu-Biao Shao; Shu-Han Liu; Ding Han; Jing-Wen Cheng; Yun-He Zhao; Lei Shi; Jing Luo; Ting Cheng; Sheng-Xiao Zhang (Immunologic Research, 2026)