Development of an interpretable machine learning model associated with heavy metals’ exposure to identify coronary heart disease among US adults via SHAP: Findings of the US NHANES from 2003 to 2018 - Xi Li; Yang Zhao; Dongdong Zhang; Lei Kuang; Hao Huang; Weiling Chen; Xueru Fu; Yuying Wu; Tianze Li; Jinli Zhang; Lijun Yuan; Huifang Hu; et al. (Chemosphere, 2023)

Presence and distribution of triazine herbicides and their effects on microbial communities in the Laizhou Bay, Northern China - Lingchao Zhao; Mengyao Yang; Xiaowen Yu; Lijuan Liu; Chen Gao; Huaxin Li; Sui Fu; Wei Wang; Jun Wang (Marine Pollution Bulletin, 2023)

Establishment and characterization of a cell line from the brain of the Japanese flounder (Paralichthys olivaceus) and its application in the study of viral infection - Zhaodi Sun; Yuqin Ren; Yitong Zhang; Yucong Yang; Guixing Wang; Zhongwei He; Yufeng Liu; Wei Cao; Yufen Wang; Yuanshuai Fu; Jilun Hou (Aquaculture, 2023)

Hypoxia alters glucose and lipid metabolisms in golden pompano (Trachinotus blochii) - Tian Jiang; Jun Long Sun; Yue Gu; Fu Cheng Yao; Ye Song Liang; Yi Fan Liu; Kai Xi Zhang; Fei Biao Song; Li Zhou; Zhong Wei Wang; Jian Fang Gui; Jian Luo (Aquaculture, 2023)

Physical model study of pile type effect on long-term settlement of geosynthetic-reinforced pile-supported embankment under traffic loading - Kai-Fu Liu; Wei-Qiang Feng; Yong-Hao Cai; Hui Xu; Pei-Chen Wu (Transportation Geotechnics, 2023)

Performance of oxalate-doped hydroxyapatite as well as relative contribution of oxalate and phosphate for aqueous lead removal - Haojie Fu; Xinxin Li; Guoqing Dai; Maojuan Bai; Wei Sheng; Xu Zhang; Juan Liu; Lei Wang (Science of The Total Environment, 2023)

The determining factors of sediment nutrient content and stoichiometry along profile depth in seasonal water - Ruichang Shen; Xingyun Huang; Xiuting Wen; Jie Liu; Hocheol Song; Christoph Weihrauch; Jörg Rinklebe; Hong Yang; Zhifen Yuan; Bofu Zheng; Chun Fu (Science of The Total Environment, 2023)

Fine chemical speciation and environmental impact capacity of trace elements with different enrichment levels in coal - Yuan Liu; Yong Wei; Guijian Liu; Biao Fu; Bingyu Chen; Jiamei Zhang; Lin Gui; Huihui Zhou; Muyuan Lu (Science of The Total Environment, 2023)

Iron redox cycling in layered clay minerals and its impact on contaminant dynamics: A review - Qingya Fan; Lingli Wang; Yu Fu; Qingchao Li; Yunjiao Liu; Zhaohui Wang; Huaiyong Zhu (Science of The Total Environment, 2023)

Zero-valent iron boosts nitrate-to-ammonia bioconversion via extracellular electron donation and reduction pathway complementation - Xue Li; Jie Li; Xiao-Rong Yu; Yong-Kun Zhu; Hou-Qi Liu; Lin Chen; Jing Wu; Xian-Zhong Fu; Shuo Cui; Tian-Yin Huang; Ru-Quan Ye; Wen-Wei Li (Resources, Conservation and Recycling, 2023)

Outstanding energy reduction of nitrogen recovery by biohythane concept introduction by 3D-weaved anode network in microbial electrolysis cell - Shuai Luo; Xianzheng Zhu; Boya Fu; Fubin Liu; Lequn Sun; Kai He; Heng Yang; Xiaoyuan Zhang; Xia Huang (Resources, Conservation and Recycling, 2023)

Drylands contribute disproportionately to observed global productivity increases - Shuai Wang; Bojie Fu; Fangli Wei; Shilong Piao; Fernando T. Maestre; Lixin Wang; Wenzhe Jiao; Yanxu Liu; Yan Li; Changjia Li; Wenwu Zhao (Science Bulletin, 2023)

Assessment of contaminants associated with gold-standard ancient DNA protocols - Bo Miao; Yalin Liu; Ruowei Yang; Xiaotian Feng; Feng Liu; Peng Cao; Qingyan Dai; Wanjing Ping; Yichen Liu; Qiaomei Fu (Science Bulletin, 2023)

SDGSAT-1: the world’s first scientific satellite for sustainable development goals - Huadong Guo; Changyong Dou; Hongyu Chen; Jianbo Liu; Bihong Fu; Xiaoming Li; Ziming Zou; Dong Liang (Science Bulletin, 2023)

An assessment of L-band surface soil moisture products from SMOS and SMAP in the tropical areas - Hongliang Ma; Xiaojun Li; Jiangyuan Zeng; Xiang Zhang; Jianzhi Dong; Nengcheng Chen; Lei Fan; Morteza Sadeghi; Frédéric Frappart; Xiangzhuo Liu; Mengjia Wang; Huan Wang; et al. (Remote Sensing of Environment, 2023)

Revenue sources of natural resources rents and its impact on sustainable development: Evidence from global data - Rong Fu; Jianmei Liu (Resources Policy, 2023)

miR319 and its target TCP4 involved in plant architecture regulation in Brassica napus - Hongchen Lu; Li Chen; Mengjie Du; Haiqin Lu; Jie Liu; Shenhua Ye; Baolong Tao; Rihui Li; Lun Zhao; Jing Wen; Bin Yi; Jinxing Tu; et al. (Plant Science, 2023)

The growth-regulating factor PdbGRF1 positively regulates the salt stress response in Populus davidiana × P. bolleana - Zhong-Yuan Liu; Ya-Ting Han; Chun-Yao Wang; Xiao-Jin Lei; Yuan-Yuan Wang; Wen-Fang Dong; Qing-Jun Xie; Yu-Jie Fu; Cai-Qiu Gao (Plant Science, 2023)

Nonclimacteric ripening characteristics of ‘Jen-Ju Bar’ guava conferred by a defect in the expression of the system-2 ACC synthase gene PgACS1 - Kuo-En Chen; You-Fu Liu; Yu-Chang Liu; Margo Sulistio; Chyi-Chuann Chen; Chun-Ta Wu (Postharvest Biology and Technology, 2023)

The chloroplast GATA-motif of Mahonia bealei participates in alkaloid-mediated photosystem inhibition during dark to light transition - Jiaqi Chen; Tianfu Jiang; Jiajun Jiang; Linfang Deng; Yiting Liu; Zhuoheng Zhong; Hongwei Fu; Bingxian Yang; Lin Zhang (Journal of Plant Physiology, 2023)

Biodegradation of polystyrene (PS) by marine bacteria in mangrove ecosystem - Renju Liu; Sufang Zhao; Benjuan Zhang; Guangyu Li; Xiaoteng Fu; Peisheng Yan; Zongze Shao (Journal of Hazardous Materials, 2023)

Genesis and prospecting significance of the Buziwannan gold-polymetallic ore deposit in the West Kunlun Orogen Belt, China: Constraints from mineral geochemistry and in situ S–Pb isotope analyses of sulfides - Peiwen Chen; Qingdong Zeng; Lingli Zhou; Bing Liu; Yong Fu; Guotao Sun; Bing Yu; Zhen Long (Journal of Geochemical Exploration, 2023)

Volatile organic compounds generation pathways and mechanisms from microplastics in water: Ultraviolet, chlorine and ultraviolet/chlorine disinfection - Ruijuan Liu; Xinni Wu; Wanhui Zhang; Yuheng Chen; Jianwei Fu; Huase Ou (Journal of Hazardous Materials, 2023)

Examining the relationship between built environment and urban parking demand from the perspective of travelers - Tao Peng; Jian Chen; Keliang Liu; Zhixuan Qiu; Zhiyan Fu; Yong Huang (Journal of Cleaner Production, 2023)

One-stage anaerobic fermentation of excess sludge for caproate production by supplementing chain elongation enrichments with ethanol as electron donor - Bo Fu; Yujie Lu; Hongbo Liu; Xuedong Zhang; Hale Ozgun; Mustafa Evren Ersahin; He Liu (Journal of Environmental Management, 2023)

The community perception of human-water connections is indirectly influenced by the landscape context: A case study in the lower reaches of the Yellow river - Yanxu Liu; Bojie Fu; Xutong Wu; Shuai Wang; Ying Yao; Yan Li; Junze Zhang; Xiaojin Wen (Journal of Environmental Management, 2023)

Insight into photo-fenton catalytic degradation of tetracycline by environmental friendly nanocomposite 1T-2H hybrid phases MoS2/Fe3O4/g-C3N4 - Rongchao Yang; Guangzhu Zhou; Cuizhen Wang; Yin Liu; Yanyun Zhao; Yinming Li; Xiaoning Fu; Jingyi Chi; Xi Chen; Hui Fang; Zheng Qin (Journal of Cleaner Production, 2023)

Preface: Petroleum Geology of the Ordos Basin - Jinhua Fu; Keyu Liu; Jingchun Tian; Renchao Yang; Tian Yang (Journal of Asian Earth Sciences, 2023)

Organic matter accumulation mechanism under global/regional warming: Insight from the Late Barremian calcareous shales in the Qiangtang Basin (Tibet) - Ying Nie; Xiugen Fu; Xianchuan Liu; Hengye Wei; Shengqiang Zeng; Fei Lin; Youli Wan; Chunyan Song (Journal of Asian Earth Sciences, 2023)

Learn then match: A fast coarse-to-fine depth image-based indoor localization framework for dark environments via deep learning and keypoint-based geometry alignment - Qing Li; Rui Cao; Jiasong Zhu; Hao Fu; Baoding Zhou; Xu Fang; Sen Jia; Shenman Zhang; Kanglin Liu; Qingquan Li (ISPRS Journal of Photogrammetry and Remote Sensing, 2023)

Hydrogenation of biomass pyrolysis oil using enhanced reduction catalytic capacity cellular by expressing excavated carbonyl reductase - Chongyang Bu; Hui Qiao; Lihua Zou; Yuanming Tao; Jiaming Fu; Chao Liu; Zhaojuan Zheng; Jia Ouyang (Fuel, 2023)

Thermodynamic characteristics of methane hydrate formation in high-pressure microcalorimeter under different reaction kinetics - Juan Fu; Jia-Mei Mo; Shi-Jun Liu; Wen-Zhe Yi; Yi-Song Yu; Neng-You Wu; Xiao-Li Chen; Qiu-Cheng Su; Xiao-Sen Li (Fuel, 2023)

Highly dispersed Pt on core–shell micro-mesoporous composites assembled by mordenite nanocrystals for selective hydrogenation of polycyclic aromatics - Enhua Wang; Di Hu; Chengkun Xiao; Shaotong Song; Yutong Zou; Siyuan Fu; Kebin Chi; Jian Liu; Aijun Duan; Xilong Wang (Fuel, 2023)

Inulin reduces liver triacylglycerol by increasing lipid droplet lipolysis in fat-loaded mice - Bingbing Chen; Yumeng Shi; Kai Zhang; Yanzhong Chang; Pengcheng Fu; Pingsheng Liu; Shuyan Zhang (Food Research International, 2023)

Study on the quality characteristics of hot-dry noodles by microbial polysaccharides - Yixuan Liu; Xiaorong Liu; Liuyu Wan; Peng Xu; Xiaoyi Deng; Beibei Ding; Xuedong Wang; Yang Fu (Food Research International, 2023)

Light-shading reaction microfluidic PMMA/paper detection system for detection of cyclamate concentration in foods - Chan-Chiung Liu; Chien-Hsuan Ko; Lung-Ming Fu; Yi-Ling Jhou (Food Chemistry, 2023)

The content and diversity of carotenoids associated with high-altitude adaptation in Tibetan peach fruit - Weikang Zheng; Shiqi Yu; Wang Zhang; Shanshan Zhang; Jialing Fu; Hong Ying; Gesang Pingcuo; Shengjun Liu; Fan Zhao; Qingjiang Wu; Qiang Xu; Zhaocheng Ma; et al. (Food Chemistry, 2023)

Effects of haloxyfop-p-methyl on the developmental toxicity, neurotoxicity, and immunotoxicity in zebrafish - Yi Liu; Jing Guo; Wenjin Liu; Fengjie Yang; Yunyun Deng; Yunlong Meng; Bo Cheng; Jianping Fu; June Zhang; Xinjun Liao; Lili Wei; Huiqiang Lu (Fish & Shellfish Immunology, 2023)

Residential greenness and dyslipidemia risk: Dose-response relations and mediation through BMI and air pollution - Qinjian Wang; Xiaoqing Li; Wenling Zhong; Hongyun Liu; Chuanteng Feng; Chao Song; Bin Yu; Yao Fu; Xi Lin; Yanrong Yin; Tiehui Chen; Jan D. Reinhardt; et al. (Environmental Research, 2023)

Construction of the comprehensive evaluation system of waterbody pollution degree and the response of sedimentary microbial community - Yitong Shao; Qi He; Yongsheng Fu; Yiqing Liu (Environmental Pollution, 2023)

Optimizing nitrogen rates for synergistically achieving high yield and high nitrogen use efficiency with low environmental risks in wheat production – Evidences from a long-term experiment in the North China Plain - Suya Hu; Bowen Qiao; Yuhao Yang; Robert M. Rees; Wenhai Huang; Jun Zou; Li Zhang; Haoyu Zheng; Shouyang Liu; Shuaijie Shen; Fu Chen; Xiaogang Yin (European Journal of Agronomy, 2023)

Multiple metals exposure and blood mitochondrial DNA copy number: A cross-sectional study from the Dongfeng-Tongji cohort - Ming Fu; Chenming Wang; Shiru Hong; Xin Guan; Hua Meng; Yue Feng; Yang Xiao; Yuhan Zhou; Chenliang Liu; Guorong Zhong; Yingqian You; Tianhao Wu; et al. (Environmental Research, 2023)

Zero fluctuation: Electric-fluctuation-elimination heat pump system with water storage tank based on time-of-use tax - Xueling Liu; Jianxiao Zhu; Jiansheng Wang; Yuguo Fu; Huipeng Zhang; Jintao Niu (Energy and Buildings, 2023)

Electrosprayed thin film nanocomposite polyamide nanofiltration with homogeneous distribution of nanoparticles for enhanced separation performance - Yingyao He; Jianqiang Wang; Xinyu Fu; Haibo Lin; Weilin Zhang; Xiao Wang; Fu Liu (Desalination, 2023)

A mixed selective edge-based smoothed PFEM with second-order cone programming for geotechnical large deformation analysis - Xi-Wen Zhou; Feng-Tao Liu; Yin-Fu Jin; Zhen-Yu Yin; Cheng-Bo Zhang (Computers and Geotechnics, 2023)

Data-driven, multi-moment fluid modeling of Landau damping - Wenjie Cheng; Haiyang Fu; Liang Wang; Chuanfei Dong; Yaqiu Jin; Mingle Jiang; Jiayu Ma; Yilan Qin; Kexin Liu (Computer Physics Communications, 2023)

Four-armed host-defense peptidomimetics-augmented vanadium carbide MXene-based microneedle array for efficient photo-excited bacteria-killing - Xiaoqian Feng; Dongyi Xian; Jintao Fu; Rui Luo; Wenhao Wang; Yuwei Zheng; Qing He; Zhan Ouyang; Shaobin Fang; Wancong Zhang; Daojun Liu; Shijie Tang; et al. (Chemical Engineering Journal, 2023)

Custom-built automated radiosynthesis platform for Al[18F]F radiochemistry and its application for clinical production - Zheng Fu; Lun Yu; Yongkang Gai; Feng Gao; Quanyi Liu; Li Wang; Zhiguo Liu (Chemical Engineering Journal, 2023)

Metal-coordinated nanodrugs based on natural products for cancer theranostics - Shuang Liu; Xiuping Xu; Jin Ye; Jun Wang; Qiang Wang; Zhiguo Liu; Jiating Xu; Yujie Fu (Chemical Engineering Journal, 2023)

Highly flexible all-inorganic nanofiber networks with stress-accommodating microstructure for light-activated wearable chemiresistive sensor - Xiaowei Li; Yujing Tang; Wanying Cheng; Yu Liu; Haipeng Dong; Xinghua Li; Changlu Shao; Shencheng Fu; Yichun Liu (Chemical Engineering Journal, 2023)

Antimicrobial MXene-based conductive alginate hydrogels as flexible electronics - Peixuan Wu; Ziyu Qin; Rohan Dassanayake; Zhicheng Sun; Meijuan Cao; Kun Fu; Yang Zhou; Yuanyuan Liu (Chemical Engineering Journal, 2023)

Robust emission in near-infrared II of lanthanide nanoprobes conjugated with Au (LNPs-Au) for temperature sensing and controlled photothermal therapy - Guofeng Liu; Zhenxing Wang; Wan Sun; Xiaohui Lin; Rui Wang; Chonghui Li; Li Zong; Zuoling Fu; Hanping Liu; Shicai Xu (Chemical Engineering Journal, 2023)

Supercooled sugar alcohols stabilized by alkali hydroxides for long-term room-temperature phase change solar-thermal energy storage - Xiaoxiang Li; Jingyi Zhang; Yizhe Liu; Yangzhe Xu; Kehang Cui; Zhenpeng Yao; Benwei Fu; Chengyi Song; Wen Shang; Peng Tao; Tao Deng (Chemical Engineering Journal, 2023)

Dual-site oxygen activation for enhanced photocatalytic aerobic oxidation by S-scheme Ni2P/Bi3O4Br-OVs heterojunction - Weijie Yang; Kailong Sun; Jun Wan; Yang-Ai Ma; Yu Wang; Lin Liu; Bicheng Zhu; Feng Fu (Chemical Engineering Journal, 2023)

Peroxymonosulfate activation by Mg-introduced Fe-N carbon nanotubes to accelerate sulfamethoxazole degradation: Singlet oxygen-dominated nonradical pathway - Junli Zheng; Qintie Lin; Yuxin Liu; Xindan Fan; Kehuan Xu; Yongjie Ma; Jin He; Hengyi Fu (Chemical Engineering Journal, 2023)

Near-infrared I/II emission and absorption carbon dots via constructing localized excited/charge transfer state for multiphoton imaging and photothermal therapy - Wen-Bo Zhao; Dan-Dan Chen; Kai-Kai Liu; Yong Wang; Rui Zhou; Shi-Yu Song; Fu-Kui Li; Lai-Zhi Sui; Qing Lou; Lin Hou; Chong-Xin Shan (Chemical Engineering Journal, 2023)

An S-scheme CdS/K2Ta2O6 heterojunction photocatalyst for production of H2O2 from water and air - Cui Lai; Mengyi Xu; Fuhang Xu; Bisheng Li; Dengsheng Ma; Yixia Li; Ling Li; Mingming Zhang; Danlian Huang; Lin Tang; Shiyu Liu; Huchuan Yan; et al. (Chemical Engineering Journal, 2023)

Non-destructive characterization of proton diffusion coefficient within live electroactive biofilm - Linbin Hu; Run Liu; Yang Yang; Qian Fu; Liang Zhang; Xun Zhu; Qiang Liao; Jun Li (Chemical Engineering Journal, 2023)

Insight into a strategy to improve charge carrier migration in lead-free bismuth-based halide perovskite for efficient selective oxidation of thioanisole under visible light - Zihao Cui; Yaqiang Wu; Shuhui Zhang; Hui Fu; Guoqiang Chen; Zaizhu Lou; Xiaolei Liu; Qianqian Zhang; Zeyan Wang; Zhaoke Zheng; Hefeng Cheng; Yuanyuan Liu; et al. (Chemical Engineering Journal, 2023)

Lanthanoid hydrogen-bonded organic frameworks: Enhancement of luminescence by the coordination-promoted antenna effect and applications in heavy-metal ion sensing and sterilization - Yun-Lan Li; Hai-Ling Wang; Zhi-Chuan Chen; Zhong-Hong Zhu; Yan-Cheng Liu; Rui-Yun Yang; Fu-Pei Liang; Hua-Hong Zou (Chemical Engineering Journal, 2023)

Simultaneous regulation of Li-ion intercalation and oxygen termination decoration on Ti3C2Tx MXene toward enhanced oxygen electrocatalysis for Li-O2 batteries - Shidong Song; Fangfang Yin; Yue Fu; Jiahao Ren; Junjie Ma; Yanan Liu; Run Ma; Wanyu Ye (Chemical Engineering Journal, 2023)

Eco-friendly waterborne superhydrophobic/superoleophilic FEVE composite coating with prolonged mechanochemical and anti-scaling properties - Zhanjian Liu; Lina Ren; Baoshuang Zhang; Jing Jing; Xiguang Zhang; Meiling Li; Yuxin Fu; Huaiyuan Wang (Chemical Engineering Journal, 2023)

The state-of-the-art application of functional bacterial cellulose-based materials in biomedical fields - Hanqi Qian; Jingjing Liu; Xucai Wang; Wenhui Pei; Caili Fu; Mingguo Ma; Caoxing Huang (Carbohydrate Polymers, 2023)

Injectable thermo-sensitive hydrogel containing ADSC-derived exosomes for the treatment of cavernous nerve injury - Shuai Liu; Ruiyu Li; Keke Dou; Kefan Li; Qihui Zhou; Qiang Fu (Carbohydrate Polymers, 2023)

Effect of natural organic matter on Cr(VI) reduction by reduced nontronite - Liyan Deng; Fu Liu; Zecong Ding; Yuzhen Liang; Zhenqing Shi (Chemical Geology, 2023)

Influence of thermal hydrolysis on sludge anaerobic digestion: Release of humic acid promotes electron transport of methanogen - Cheng Zhao; Hongbo Liu; He Liu; Xinmin Zhan; Xuedong Zhang; Bo Fu; Mingze Shi; Shuailing Lu; Fang Huang; Minhua Cui; Yajie Li (Chemical Engineering Journal, 2023)

Geochemical characteristics of n-alkanes in sediments from oligotrophic and eutrophic phases of five lakes and potential use as paleoenvironmental proxies - Yongdong Zhang; Huan Fu; Jinlei Yu; Yaling Su; Zhengwen Liu (CATENA, 2023)

Application of an integrated loach-plant-substrate-microbes non-aerated saturated vertical flow constructed wetlands: Mechanisms of pollutants removal and greenhouse gases reduction - Xiuzheng Fu; Zhengda Yu; Fanlong Kong; Pingping Duan; Fanyi Li; Lingzhu Zhang; Zhongying Liu; Yuqian Cui (Bioresource Technology, 2023)

Catalytic hydrolysis of corncob for production of furfural and cellulose-rich solids: Product characterization and analysis - Bang Yao; Qinhao Kang; Jie Fu; Yang Liu; Wenya Ao; Long Wang; Zhihui Jiang; Tianhao Zhang; Yongmeng Song; Zeyu Deng; Asif Ali Siyal; Jianjun Dai (Biomass and Bioenergy, 2023)

Enhanced cellulosic d-lactic acid production from sugarcane bagasse by pre-fermentation of water-soluble carbohydrates before acid pretreatment - Zhongyang Qiu; Xushen Han; Anqing Fu; Yalan Jiang; Wenyue Zhang; Ci Jin; Dengchao Li; Jun Xia; Jianlong He; Yuanfang Deng; Ning Xu; Xiaoyan Liu; et al. (Bioresource Technology, 2023)

Combined population transcriptomic and genomic analysis reveals cis-regulatory differentiation of non-coding RNAs in maize - Jiawen Lu; Sihan Zhen; Jie Zhang; Yuxin Xie; Cheng He; Xiaoli Wang; Zheyuan Wang; Song Zhang; Yongxiang Li; Yu Cui; Guoying Wang; Jianhua Wang; et al. (Theoretical and Applied Genetics, 2023)

Combined application of a PGPR strain Methylophilus sp. FP-6 and adenine to enhance the phytoremediation potential of tobacco: oxybenzone remediation, plant response and rhizosphere bacterial community adaptation - Wenjing Wang; Anran Liu; Xiaoyan Zheng; Xiancao Chen; Wenting Fu; Gang Wang; Jing Ji; Sheyan Pei; Chunfeng Guan (Plant and Soil, 2023)

Cre-mediated autoexcision of selectable marker genes in soybean, cotton, canola and maize transgenic plants - Xudong Ye; Zarir Vaghchhipawala; Edward J. Williams; Changlin Fu; Jinyuan Liu; Fengming Lu; Erin L. Hall; Shirley X. Guo; LaRee Frank; Larry A. Gilbertson (Plant Cell Reports, 2023)

Correction to: Modeling landslide susceptibility using data mining techniques of kernel logistic regression, fuzzy unordered rule induction algorithm, SysFor and random forest - Tingyu Zhang; Quan Fu; Chao Li; Fangfang Liu; Huanyuan Wang; Ling Han; Renata Pacheco Quevedo; Tianqing Chen; Na Lei (Natural Hazards, 2023)

Avoidance of previously infested cabbage by MEAM1 cryptic species of Bemisia tabaci species complex - Jie Hu; Jintian Lu; Nina Yang; Baiming Liu; Peiyi Fu; Jinjian Yang; Youjun Zhang; Xiaoguo Jiao (Journal of Pest Science, 2023)

The Critical Factors and Preventive Measures of Impoundment of Tailings Using Active Surface Subsidence Zones - Yang Liu; Yanjun Zhou; Rongxing He; Jianli Cao; Fengyu Ren; Fu Yu; Lu Yue (Geotechnical and Geological Engineering, 2023)

Spatial distribution, ecological risk, and human health assessment of heavy metals in lake surface sections — a case study of Qinghai Lake, China - Zheng Li; Zhenghui Fu; Shuhang Wang; Yang Zhang; Jinbo Zhang; Yanxiao Liu; Huaicheng Guo; Pingjian Yang (Environmental Science and Pollution Research, 2023)

Extraction and spatiotemporal changes of open-pit mines during 1985–2020 using Google Earth Engine: A case study of Qingzhou City, Shandong Province, China - Liu Ruifeng; Yuan Kai; Li Xing; Liu Xiaoli; Zhao Xitao; Guo Xiaocheng; Fu Juan; Cao Shixin (Environmental Monitoring and Assessment, 2023)

Effects of the probability of pulse-like ground motions on landslide susceptibility assessment in near-fault areas - Jing Liu; Hai-ying Fu; Ying-bin Zhang; Pei-yi Xu; Run-dan Hao; Hai-hong Yu; Yun-yong He; Hong-yan Deng; Lu Zheng (Journal of Mountain Science, 2023)

Arylation of indole at C2 catalyzed by palygorskite grafted covalent organic frameworks supported palladium catalyst - Ning Ding; Shang Wu; Qiang Hu; Jutao Liu; Penghui Zhang; Shuaishuai Fu; Huanlei Zhao; Hong Zhang; Fenping Yin; Quanlu Yang (Applied Clay Science, 2023)

Optimizing nitrogen application and sowing date can improve environmental sustainability and economic benefit in wheat-rice rotation - Zhaopeng Fu; Ke Zhang; Jiayi Zhang; Yu Zhang; Qiang Cao; Yongchao Tian; Yan Zhu; Weixing Cao; Xiaojun Liu (Agricultural Systems, 2023)

Testing machine learning algorithms on a binary classification phenological model - Wujun Dai; Huiying Jin; Lin Zhou; Tong Liu; Yuhong Zhang; Zhiqiang Zhou; Yongshuo H. Fu; Guangze Jin (Global Ecology and Biogeography, 2023)
Aim Phenological models have become a vital tool for predicting future phenological responses to global climate change. Recently, machine learning (ML) has been used successfully to develop phenological models based on ground observations. However, fitting an observation series that has been observed for only a few years (or even a decade) can easily lead to overfitting, and it is still a great challenge to predict future phenology accurately based on a short observation series. Here, based on historical ground phenological observations, we construct an ML‐based binary classification phenological model that can be applied to temperate trees. Innovation We thoroughly describe the construction process of a species‐specific ML‐based binary classification phenological model that is suitable for phenological predictions in both spring and autumn. Through experiments, we evaluate 18 commonly used ML classification algorithms and the effects of two parameters on the prediction performance of the model. Finally, we compare the performance between the binary classification model and six widely used ecophysiological models for accuracy of spring phenological prediction. Main conclusions The median root mean square error (RMSE) of the binary classification model for the first flowering date (93 observation series) was only 2.99 days, which proves that it is a good method of phenological prediction for temperate trees. This model can effectively overcome the insufficient sample size of ground observations for specific species and provide new insights of phenological predictions for tropical and subtropical trees. The comparison of different ML algorithms showed that the median root mean square errors of the six algorithms were 3.7 days) in prediction of spring phenology. In addition, this model can help us to infer plant physiological mechanisms and drivers of phenological change and provide more accurate predictions of plant phenological responses to climate change.

Non‐stationary effects of multiple drivers on the dynamics of Japanese sardine ( Sardinops melanostictus , Clupeidae) - Shuyang Ma; Caihong Fu; Jianchao Li; Peng Sun; Yang Liu; Zhenjiang Ye; Yoshiro Watanabe; Yongjun Tian (Fish and Fisheries, 2023)
Non‐stationary driver‐response relationships are increasingly being recognized by scientists, underlining that a paradigm shift out of conventional stationary relationships is crucial. Japanese sardine ( Sardinops melanostictus , Clupeidae) is a typical small pelagic fish in the northwestern Pacific with considerable fluctuations in productivity, bringing about great economic and ecological concerns. Numerous studies suggest that the population dynamics of Japanese sardine is an integrated process affected by multiple density‐dependent, fishing and climatic drivers. However, little has hitherto been done to incorporate the non‐stationary effects of multiple drivers, impeding progresses in understanding the population dynamics and in developing management strategies. In this study, we adopted variable coefficients generalized additive models to reveal the non‐stationary effects of density dependence, fishing pressure and climatic conditions on the population dynamics of Japanese sardine. Results suggest that the dynamics of Japanese sardine from 1976 to 2018 could be divided into four periods: the 1980s when suitable climatic conditions from strong Siberian High pressure system sustained high abundance; the 1990s when negative density‐dependent effects and degrading climatic conditions due to temperature increase led to population collapse; the 2000s when negative triple effects, particularly high fishing pressure, restricted the population increase; and the 2010s when favourable climatic conditions with re‐strengthening Siberian High pressure system accompanied by low fishing pressure contributed to the population recovery. The study highlights that precise identifications of population status and climatic conditions are helpful to achieve good trade‐offs between resource exploitation and protection and to facilitate ecosystem‐based management for Japanese sardine fisheries.

What Do We Need to Do? The Sustainable Development of Chinese Marine Fisheries: A Legal Perspective - Ben-Chao Fu; Hao Liu (Fishes, 2022)
Both the nation with rich marine fishery resources and the nation importing marine fishery resources are increasingly attending to the sustainable growth of marine biodiversity and the balanced governance of fisheries. Nevertheless, Chinese marine fisheries have achieved progressively sustainable development from a legal perspective. Initially, the present paper outlines the legal relationship between sustainable development theory and marine fisheries, discusses the current circumstances of Chinese marine fisheries, and reviews Chinese legal regimens governing marine fisheries. Given this context, the paper explores and analyzes the legal issues (legislation, law enforcement, and administrative management) concerning the sustainable development of Chinese marine fisheries. These significant matters are then discussed to advance a potential approach to enhancing the legal systems governing Chinese marine fisheries and ameliorating the sustainable development of such fisheries. The results will serve as a reference to help lawmakers, decision-makers, and practitioners.

Effects of oxygen content on gaseous and solid products during molten salt oxidation of cation exchange resins - Yun Xue; Yue-Lin Wang; Yang-Hai Zheng; Yu-Sheng Yang; Wen-Da Xu; Yong-De Yan; Ran Zhao; Qing-Guo Zhang; Xin Liu; Fu-Qiu Ma; Mi-Lin Zhang (Environmental Science and Pollution Research, 2022)

Cloning of Two HSP Genes of Eriocheir hepuensis and Their Expression under Vibrio parahaemolyticus Stress - Qianni Fu; Jinxia Liu; Tianjiao Ren; Zining Zhang; Zihang Ma; Zhenyu Lan; Yitao Duan; Ziwei Liang; Boyu Chen; Yan Zhang; Peng Zhu; Yongyan Liao (Fishes, 2022)
Heat shock proteins (HSPs) are molecular chaperone proteins that can help maintain cellular protein homeostasis, assist in correcting the folding of cellular proteins, and protect organisms from stress when the body is under stress conditions such as temperature changes or bacterial infections. In this study, the HSP10 and HSP40 genes of Eriocheir hepuensis were cloned and named Eh-HSP10 and Eh-HSP40. The results show that the coding sequence length of the HSP10 and HSP40 genes of E. hepuensis was 309 bp and 1191 bp, encoding 102 and 396 amino acids, respectively. The results of protein domain prediction show that Eh-HSP10 has a Cpn10 domain. The Eh-HSP40 protein contains a DnaJ domain, which is characteristic of the HSP40 gene family. The results of qRT-PCR show that the Eh-HSP10 and Eh-HSP40 genes were expressed in different normal tissues, with the highest expression in the heart. Under Vibrio parahaemolyticus stress, the Eh-HSP10 genes peaked at 6 h, and the Eh-HSP40 peaked at 9 h in the hepatopancreas. In the gill, Eh-HSP10 showed a double peak at 24 and 48 h, and the expression of Eh-HSP40 was time-dependent. In the heart, the expression of Eh-HSP10 increased first and then decreased, whereas Eh-HSP40 peaked at 48 h. The results indicate that the Eh-HSP10 and Eh-HSP40 proteins may play a role in protecting E. hepuensis under V. parahaemolyticus infection and that they may be involved in the innate immune response of E. hepuensis against bacteria.

Selective NO2 Detection by Black Phosphorus Gas Sensor Prepared via Aqueous Route for Ship Pollutant Monitoring - Yang Wang; Yujia Wang; Yue Sun; Kuanguang Zhang; Chenyang Zhang; Jianqiao Liu; Ce Fu; Junsheng Wang (Journal of Marine Science and Engineering, 2022)
The emission of nitrogen dioxide (NO2) caused by marine transportation has attracted worldwide environmental concerns. Two-dimensional (2D) black phosphorus (BP) is an emerging semiconductive material with the advantages of high electron mobility, a layer-dependent direct band gap and a large specific surface area. These properties ensure excellent potential in gas-sensing applications. In this work, BP quantum dots (QDs) are synthesized from commercial red phosphorus (RP) fine powder via the aqueous route. The BP QDs show uniform size distribution with an average size of 2.2 nm. They are employed to fabricate thin film gas sensors by aerial-assisted chemical vapor deposition. The microstructure, morphology and chemical composition are determined by various characterizations. The sensor performances are evaluated with the optimized response set to 100 ppm NO2 of 10.19 and a sensitivity of 0.48 is obtained. The gas sensor also demonstrates excellent repeatability, selectivity and stability. The fabricated thin film gas sensor assembled by BP QDs exhibits prospective applications in selective NO2 detection for marine gaseous pollutant monitoring and control.

Effects of Acute High-Temperature Stress on Physical Responses of Yellowfin Tuna (Thunnus albacares) - Hongyan Liu; Zhengyi Fu; Gang Yu; Zhenhua Ma; Humin Zong (Journal of Marine Science and Engineering, 2022)
To understand the physiological reactions of juvenile yellowfin tuna (Thunnus albacares) under acute high-temperature stress, this study measured the changes in biochemical indexes of serum, liver, gill, and muscle of yellowfin tuna under acute high-temperature stress (HT, 34 °C) and a control group (28 °C) for 0 h and 6 h, 24 h and 48 h. The rising speed of water temperature in the HT group was 2 °C/h and the timing started when the temperature reached 34 °C. In the HT group, there was no significant difference between the four adjacent times in cortisol and lactic acid concentration. Serum triglyceride, cholesterol, and alkaline phosphatase concentration were significantly different from the four adjacent times. The superoxide dismutase (SOD) activity in the liver and gills increased at 6 h and 24 h, and the gills and liver had antioxidant reactions in a short time. The malondialdehyde (MDA) concentration in the gills changed significantly at 6 h, while that in the liver did not change significantly. The gills were more sensitive to temperature stress than the liver and muscle. Acute high-temperature stress affected yellowfin tuna’s antioxidant enzymes and metabolic indexes, resulting negative trend in physiological indexes, indicating that yellowfin tuna juveniles are susceptible to elevated temperature.

Machine Learning-Enabled Determination of Diffuseness of Brain Arteriovenous Malformations from Magnetic Resonance Angiography - Yuming Jiao; Jun-Ze Zhang; Qi Zhao; Jia-Qi Liu; Zhen-Zhou Wu; Yan Li; Hao Li; Wei-Lun Fu; Jian-Cong Weng; Ran Huo; Shao-Zhi Zhao; Shuo Wang; et al. (Translational Stroke Research, 2022)

The water yield pattern for annual and monthly scales from a unifying catchment water balance model - Dedi Liu; Dezhi Fu (Stochastic Environmental Research and Risk Assessment, 2022)

The landscape of aging - Yusheng Cai; Wei Song; Jiaming Li; Ying Jing; Chuqian Liang; Liyuan Zhang; Xia Zhang; Wenhui Zhang; Beibei Liu; Yongpan An; Jingyi Li; Baixue Tang; et al. (Science China Life Sciences, 2022)

Structural and functional analysis of a potent human neutralizing antibody against enterovirus A71 - Zhe Chen; Linlin Bao; Bin Zhu; Hua Fu; Shuangli Zhu; Tianjiao Ji; Ying Xue; Chuan Liu; Xurong Wang; Fengdi Li; Qi Lv; Feifei Qi; et al. (Science China Life Sciences, 2022)

Development and Testing of a Tool to Create Multiple Conical Reamed Cable Bolt Anchorages in Weak Rock - Housheng Jia; Yinwei Wang; Shaowei Liu; Mengxiong Fu (Rock Mechanics and Rock Engineering, 2022)

Extracellular Mitochondria Activate Microglia and Contribute to Neuroinflammation in Traumatic Brain Injury - Chaonan Zhang; Chuan Liu; Fanjian Li; Mutian Zheng; Yafan Liu; Lei Li; Huaijin Yang; Shu Zhang; Chongjin Wang; Hongtao Rong; Hui Guo; Ying Li; et al. (Neurotoxicity Research, 2022)

Visualizing Seizure Propagation in Freely-moving Mice via Miniature Two-photon Microscopy - Zhuoran Zhang; Shihe Jiang; Kaibin Shi; Yan Li; Wei-Na Jin; Qiang Liu; Ting Zhao; Heping Cheng; Fu-Dong Shi (Neuroscience Bulletin, 2022)

Modeling landslide susceptibility using data mining techniques of kernel logistic regression, fuzzy unordered rule induction algorithm, SysFor and random forest - Tingyu Zhang; Quan Fu; Chao Li; Fangfang Liu; Huanyuan Wang; Ling Han; Renata Pacheco Quevedo; Tianqing Chen; Na Lei (Natural Hazards, 2022)

Inhibition of Microglial NLRP3 with MCC950 Attenuates Microglial Morphology and NLRP3/Caspase-1/IL-1β Signaling In Stress-induced Mice - Qing Liu; Man-Man Zhang; Min-Xia Guo; Qiu-Ping Zhang; Na-Zhi Li; Jie Cheng; Shi-Le Wang; Guang-Hui Xu; Cheng-Fu Li; Ji-Xiao Zhu; Li-Tao Yi (Journal of Neuroimmune Pharmacology, 2022)

Increased Expression of CD95 in CD4+ Effector Memory T Cells Promotes Th17 Response in Patients with Myasthenia Gravis - Xiaoyu Huang; Jie Zhu; Tan Liu; Fengzhan Li; Tingting Yang; Hao Li; Fei Chen; Yong Zhang; Yuzhong Wang; Linlin Fu; Chenghua Xiao; Deqin Geng (Journal of Neuroimmune Pharmacology, 2022)

Characteristics of a radish mutant with longer siliques - Jun Fu; Xiaomin Yu; Zhengrong Li; Die Jin; Jinjin Zhu; Yuxin Zhu; Mingru Liu; Yanni Yin; Shisheng Li (Genetic Resources and Crop Evolution, 2022)

Phytoremediation potential, antioxidant response, photosynthetic behavior and rhizosphere bacterial community adaptation of tobacco (Nicotiana tabacum L.) in a bisphenol A-contaminated soil - Wenting Fu; Xiancao Chen; Xiaoyan Zheng; Anran Liu; Wenjing Wang; Jing Ji; Gang Wang; Chunfeng Guan (Environmental Science and Pollution Research, 2022)

Tobacco smoke exposure and mitochondrial DNA copy number on neurobehavioural performance: A community study - Huimin Wang; Mengmeng Fu; Yifei Ma; Chenjuan Liu; Min Wu; Jisheng Nie (Environmental Science and Pollution Research, 2022)

Local application of triamcinolone acetonide-conjugated chitosan membrane to prevent benign biliary stricture - Tao Wang; Shibo Zhang; Lianmin Wang; Kun Su; Zhiyi Tang; Haiyu He; Yanmei Shi; Yaqiong Liu; Mengyao Zheng; Wen Fu; Sheng Hu; Xiaowen Zhang; et al. (Drug Delivery and Translational Research, 2022)

BCI system with lower-limb robot improves rehabilitation in spinal cord injury patients through short-term training: a pilot study - Zhengzhe Cui; Yongqiang Li; Sisi Huang; Xixi Wu; Xiangxiang Fu; Fei Liu; Xiaojiao Wan; Xue Wang; Yuting Zhang; Huaide Qiu; Fang Chen; Peijin Yang; et al. (Cognitive Neurodynamics, 2022)

Pre-Jurassic paleogeomorphology restoration and favorable conditions for oil accumulation of the Zhouchang area, Ordos Basin, China - Xia Wang; Guomin Fu; Bojiang Fan; Xiuchan Liu (Carbonates and Evaporites, 2022)

Mass movement of a long-runout catastrophic landslide on Aug. 21, 2020, in Hanyuan County of China - Xing-Yu Yuan; Zheng-Feng Chen; Wen-Xi Fu; Yue Liu; Hong-Fu Zhou; Fei Ye (Bulletin of Engineering Geology and the Environment, 2022)

Failure mode and genesis of bare dispersive soil slope in the cold dry region: insights from Southwest Songnen Plain, China - Yan Han; Qing Wang; Cencen Niu; Huicheng Fu; Jing Liu; Mengxia Han; Sen Lin; Muhammad Ammar (Bulletin of Engineering Geology and the Environment, 2022)

Host adaptation of codon usage in SARS-CoV-2 from mammals indicates potential natural selection and viral fitness - Yanan Fu; Yanping Huang; Jingjing Rao; Feng Zeng; Ruiping Yang; Huabing Tan; Zhixin Liu; Weixing Du; Long Liu (Archives of Virology, 2022)

Mild hypothermia ameliorates hepatic ischemia reperfusion injury by inducing RBM3 expression - Qi Xiao; Yuan Liu; XingJian Zhang; ZhongZhong Liu; JianSheng Xiao; QiFa Ye; BiQi Fu (Apoptosis, 2022)

Data-driven Estimation of Cloud Effects on Surface Irradiance at Xianghe, a Suburban Site on the North China Plain - Mengqi Liu; Jinqiang Zhang; Hongrong Shi; Disong Fu; Xiang’ao Xia (Advances in Atmospheric Sciences, 2022)

Geochronology, petrogenesis and tectonic significance of two episodes of Neoproterozoic diabasic magmatism in South China: from orogenesis to intracontinental rifting - Qi Hou; Weijian Zhou; Zhiqiang Yu; Tianyang Hu; Guochun Zhao; Xiaoyong Yang; Taiping Zhao; Cheng Tang; Jianming Fu; Lei Liu; Youyue Lu (International Geology Review, 2022)

Derivation of new resistance principle on flow-induced morphological response of flexible vegetation - Feng-Cong Jia; Wei-Jie Wang; Ling-Hua Liu; Jin-Jin Li; Ai-Ping Huang; Jing Zhang; Yi-Cheng Fu; Yang Yu (Environmental Science and Pollution Research, 2022)

Metabarcoding reveals the differential sensitivity of planktonic microbiome to environmental filtering and biointeraction in Sansha Yongle blue hole - Tianying Chen; Yunyun Zhuang; Chang Chen; Xuewei Mao; Ruping Ge; Hongju Chen; Jianwei Chen; Liang Fu; Zuosheng Yang; Guangxing Liu (Frontiers in Marine Science, 2022)
The Sansha Yongle blue hole (SYBH) is the world’s deepest blue hole known so far and its unique hydrochemical characteristics make it a valuable site for studying biodiversity and ecological processes. Here, we used metabarcoding approach to investigate the diversity, assembly mechanism and co-occurrence pattern of planktonic microbiome in SYBH. Our results revealed the distinct separation of communities from upper oxic, middle oxic and suboxic-anoxic layer and significant day-night difference was detected in the upper-layer community of microeukaryotes, indicating potential diel migration. Stochastic processes played a significant role in the community assembly of microeukaryotes, while deterministic processes dominated in prokaryotes, confirming the stronger environmental filtering on prokaryotes as also suggested by the correlation with environmental variables. Microeukaryotes were less sensitive to environments but significantly affected by cross-domain biointeraction. When comparing the subcommunities of different abundance, we found that abundant taxa were widespread while rare taxa were habitat-specific. In co-occurrence network, over 87% of the interactions and 19 out of 20 keystone OTUs (Operational Taxonomic Units) were affiliated to moderate or rare taxa, suggesting the importance of non-abundant taxa in maintaining community stability. The predominant positive edges in the network pointed to that interspecies cooperation may be one of the ecological strategies in SYBH. Overall, we highlight the divergent assembly pattern and different driving forces in shaping plankton microbiome in SYBH, which may advance current understanding on diversity and dynamics of marine life in blue hole ecosystems.

Leaching characteristics and solidification strategy of heavy metals in solid waste from natural graphite purification - Yuehua Liu; Yulong Fu; Leyin Zheng; Miao Wang; Zhi Wang; Song Yang; Junhao Liu; Xuzhong Gong (Environmental Science and Pollution Research, 2022)

Radiomics based on readout-segmented echo-planar imaging (RS-EPI) diffusion-weighted imaging (DWI) for prognostic risk stratification of patients with rectal cancer: a two-centre, machine learning study using the framework of predictive, preventive, and personalized medicine - Zonglin Liu; Yueming Wang; Fu Shen; Zhiyuan Zhang; Jing Gong; Caixia Fu; Changqing Shen; Rong Li; Guodong Jing; Sanjun Cai; Zhen Zhang; Yiqun Sun; et al. (EPMA Journal, 2022)
Background Currently, the rate of recurrence or metastasis (ROM) remains high in rectal cancer (RC) patients treated with the standard regimen. The potential of diffusion-weighted imaging (DWI) in predicting ROM risk has been reported, but the efficacy is insufficient. Aims This study investigated the potential of a new sequence called readout-segmented echo-planar imaging (RS-EPI) DWI in predicting the ROM risk of patients with RC using machine learning methods to achieve the principle of predictive, preventive, and personalized medicine (PPPM) application in RC treatment. Methods A total of 195 RC patients from two centres who directly received total mesorectal excision were retrospectively enrolled in our study. Machine learning methods, including recursive feature elimination (RFE), the synthetic minority oversampling technique (SMOTE), and the support vector machine (SVM) classifier, were used to construct models based on clinical-pathological factors (clinical model), radiomic features from RS-EPI DWI (radiomics model), and their combination (merged model). The Harrell concordance index (C-index) and the area under the time-dependent receiver operating characteristic curve (AUC) were calculated to evaluate the predictive performance at 1 year, 3 years, and 5 years. Kaplan‒Meier analysis was performed to evaluate the ability to stratify patients according to the risk of ROM. Findings The merged model performed well in predicting tumour ROM in patients with RC at 1 year, 3 years, and 5 years in both cohorts (AUC = 0.887/0.813/0.794; 0.819/0.795/0.783) and was significantly superior to the clinical model (AUC = 0.87 [95% CI: 0.80–0.93] vs. 0.71 [95% CI: 0.59–0.81], p = 0.009; C-index = 0.83 [95% CI: 0.76–0.90] vs. 0.68 [95% CI: 0.56–0.79], p = 0.002). It also had a significant ability to differentiate patients with a high and low risk of ROM (HR = 12.189 [95% CI: 4.976–29.853], p < 0.001; HR = 6.427 [95% CI: 2.265–13.036], p = 0.002). Conclusion Our developed merged model based on RS-EPI DWI accurately predicted and effectively stratified patients with RC according to the ROM risk at an early stage with an individualized profile, which may be able to assist physicians in individualizing the treatment protocols and promote a meaningful paradigm shift in RC treatment from traditional reactive medicine to PPPM.

The effect of reservoir expansion from underground karst cave to surface reservoir on water quality in southwestern China - Meng Lu; Xiao-Dan Wang; Fu-Jun Yue; Zi-Han Liu; Zhi-Yu Shi; Ping Zhang (Environmental Science and Pollution Research, 2022)

Research on the influence of education and training of farmers' professional cooperatives on the willingness of members to green production—perspectives based on time, method and content elements - Luo Lei; Qiao Dakuan; Tang Jin; Wang Lishuang; Liu Yuying; Fu Xinhong (Environment, Development and Sustainability, 2022)

Analysis of 3D anisotropic characteristics for E-Ex wide-field electromagnetic method - Ji-Feng Zhang; Ji-Ren Liu; Bing Feng; Fu-Xiang Zhang (Applied Geophysics, 2022)

Four sesquiterpenoids from the vegetable raw material Schisandra chinensis (Turcz.) Baill.: leaves and stems - Yong-Cheng Yang; Lu-Qi Liu; Kun-Jun Wang; Xue-Qing Zhang; San-Peng Fan; Xiao-Xu Gao; An-Hua Wang; Jing-Ming Jia; Chun-Wang Fu (Natural Product Research, 2022)

Synthesis of Lanthanum-Modified Attapulgite and Its Phosphorus-Fixing Mechanism for Urban Eutrophic Lake - Lingfeng Ye; Ye Li; Cong Liu; Bolin Li; Dongxue Liu; Chang Liu; Jie Wan; Chengbin Fu (Water, Air, & Soil Pollution, 2022)

Ginsenoside Rb1 inhibits oxidative stress-induced ovarian granulosa cell injury through Akt-FoxO1 interaction - Ping Zhou; Feng Deng; Zi Yang; Canhui Cao; Hongcui Zhao; Fenting Liu; Ke Zhong; Lin Fu; Tianliu Peng; Di Sun; Hui Liu; Rong Li; et al. (Science China Life Sciences, 2022)

Evaluating the Effect of Anisotropy on Hydraulic Stimulation in a Slate Geothermal Reservoir - Meng-Chia Weng; Po-Lin Wu; Chih-Hung Fang; Yu-Yao Fu; Yen-Che Liao; Chih-Hsi Liu (Rock Mechanics and Rock Engineering, 2022)

Hydrogen Sulfide Attenuates High-Fat Diet-Induced Obesity: Involvement of mTOR/IKK/NF-κB Signaling Pathway - Maofang Zhao; Yuan Cheng; Xiaoxuan Wang; Xiaoying Cui; Xiaojing Cheng; Qian Fu; Yilin Song; Peiquan Yu; Yi Liu; Yinghua Yu (Molecular Neurobiology, 2022)

Increased expression of Myosin X contributes to the metastasis in patients with laryngeal squamous cell carcinoma - Gang Deng; Tie-Jun Fu; Cui-Ping Liu (Molecular Genetics and Genomics, 2022)
Laryngeal Squamous Cell Carcinoma (LSCC) is one of the most common malignancy in Head and neck cancer for which the mechanism underlying its metastasis is poorly understood. Myosin X, a molecular motor in cells has been demonstrated to play an important role in cell migration. However, whether Myosin X is involved in the metastasis of LSCC remains unclear. To investigate the expression of Myosin X and its implication in the metastasis of LSCC, we recruited 30 patients with LSCC and 6 patients with vocal cord polyp range from October 2016 to October 2018. Tissue samples were obtained during surgery and the expression of Myosin X, Cortactin, MMP2, MMP9, E-cadherin, and β-catenin in tissue samples were evaluated by RT-PCR, Western blot, immunohistochemistry or ELISA. Patients with LSCC were further followed-up 2 year after surgery for metastasis analysis. We found that the level of Myosin X, Cortactin, MMP2, and MMP9 was much higher in poorly differentiated LSCC compared to that in moderately and highly LSCC, as well as the control tissues. In contrast, the expression of epithelial-mesenchymal transition related marker, E-cadherin, and β-catenin, were much lower in poorly differentiated LSCC tissues compared to that in moderately and highly differentiated LSCC tissues, as well as the control tissues. Moreover, the expression of Myosin X was positively correlated with Cortactin, MMP2, and MMP9 levels. Increased expression of Myosin X in LSCC tissues was related to higher risk of metastasis. In conclusion, our findings showed that. Myosin X augments the expression of Cortactin, MMP2 and MMP9, which could upregulate the cell migration and the matrix degradation, and consequently reduce the expression of E-cadherin and β-catenin, thereby activating epithelial-mesenchymal transformation and promoting the metastasis of LSCC. Targeting Myosin X may have potential therapeutic effect in the metastasis of LSCC.

Genome analysis and 2’-fucosyllactose utilization characteristics of a new Akkermansia muciniphila strain isolated from mice feces - Wei Gao; Mengshi Xiao; Ziqiang Gu; Xiaodan Fu; Xinmiao Ren; Ying Yu; Zhemin Liu; Changliang Zhu; Qing Kong; Haijin Mou (Molecular Genetics and Genomics, 2022)

Application of regional citrate anticoagulation in patients at high risk of bleeding during intermittent hemodialysis: a prospective multicenter randomized controlled trial - Xiaoyan Tang; Dezheng Chen; Ling Zhang; Ping Fu; Yanxia Chen; Zhou Xiao; Xiangcheng Xiao; Weisheng Peng; Li Cheng; Yanmin Zhang; Hongbo Li; Kehui Li; et al. (Journal of Zhejiang University-SCIENCE B, 2022)

Assessing the impact of rockfall on the retaining structures of a mountain road: a case study in Taiwan - Che-Ming Yang; Chung-Hsun Lee; Chun-Yuan Liu; Wei-Kai Huang; Meng-Chia Weng; Yu-Yao Fu (Landslides, 2022)

ATF3 in atherosclerosis: a controversial transcription factor - Bingyu Wang; Xi Yang; Xinyi Sun; Jianhui Liu; Yin Fu; Bingyang Liu; Jun Qiu; Jiangfang Lian; Jianqing Zhou (Journal of Molecular Medicine, 2022)

Nutrient retention in agricultural headwater stream: artificial manipulation of main-channel morphology and hydrologic condition - Chao Liu; Ruzhong Li; Yang Fu (Environmental Science and Pollution Research, 2022)

The association between hearing threshold and urinary personal care and consumer product metabolites in middle-aged and elderly people from the USA - Yan-Peng Fu; Wen-Yu Chen; Li-Qing Guo; Ya-Qiong Zhu; Jia-Sheng Yuan; Yue-Hui Liu (Environmental Science and Pollution Research, 2022)

The inhibition of CFTR in the descended testis of SD rats with unilateral cryptorchidism induced by di-(2-ethylhexyl) phthalate (DEHP) - Xiangliang Tang; Dian Li; Tianxin Zhao; Shibo Zhu; Xiaofeng Gao; Rui Zhou; Fuming Deng; Wen Fu; Wei Jia; Guochang Liu (Environmental Science and Pollution Research, 2022)

Genistein Alleviates Oxidative Stress and Inflammation in the Hypothalamic Paraventricular Nucleus by Activating the Sirt1/Nrf2 Pathway in High Salt-Induced Hypertension - Li-Gang Niu; Na Sun; Kai-Li Liu; Qing Su; Jie Qi; Li-Yan Fu; Guo-Rui Xin; Yu-Ming Kang (Cardiovascular Toxicology, 2022)

Genomic characterization and pathogenicity analysis of a porcine deltacoronavirus strain isolated in western China - Zemei Wang; Shuxian Li; Yongheng Shao; Yabin Lu; Chen Tan; Yaru Cui; Guangming Ding; Yuguang Fu; Guangliang Liu; Jianing Chen; Yonghao Hu (Archives of Virology, 2022)

A novel fungal negative-stranded RNA virus related to mymonaviruses in Auricularia heimuer - Xuefei Li; Qingcheng Liu; Shiyu Li; Frederick Leo Sossah; Xuerong Han; Guosheng Zhu; Yu Li; Changtian Li; Yongping Fu (Archives of Virology, 2022)

Warming does not delay the start of autumnal leaf coloration but slows its progress rate - Nan Jiang; Miaogen Shen; Philippe Ciais; Matteo Campioli; Josep Peñuelas; Christian Körner; Ruyin Cao; Shilong Piao; Licong Liu; Shiping Wang; Eryuan Liang; Nicolas Delpierre; et al. (Global Ecology and Biogeography, 2022)
Aim Initiation of autumnal leaf senescence is crucial for plant overwintering and ecosystem dynamics. Previous studies have focused on the advanced stages of autumnal leaf senescence and reported that climatic warming delayed senescence, despite the fundamental differences among the stages of senescence. However, the timing of onset of leaf coloration ( D LCO ), the earliest visual sign of senescence, has rarely been studied. Here, we assessed the response of D LCO to temperature. Location 30–75° N in the Northern Hemisphere. Time period 2000–2018. Major taxa studied Deciduous vegetation. Methods We retrieved D LCO from high‐temporal‐resolution satellite data, which were then validated by PhenoCam observations. We investigated the temporal changes in D LCO and the relationship between D LCO and temperature by using satellite and ground observations. Results D LCO was not significantly ( p > .05) delayed between 2000 and 2018 in 94% of the area. D LCO was positively ( p D LCO mean daily minimum temperature ( T min ) in only 9% of the area, whereas the end of leaf coloration ( D LCE ) was positively correlated with pre‐ D LCE mean T min over a larger area (34%). Further analyses showed that warming slowed the progress of leaf coloration. Interestingly, D LCO was less responsive to pre‐ D LCO mean T min in areas where daylength was longer across the Northern Hemisphere, particularly for woody vegetation. Main conclusions The rate of progress of coloration is more sensitive to temperature than its start date, resulting in an extension of the duration of leaf senescence under warming. The dependence of D LCO response to temperature on daylength indicates stronger photoperiodic control on initiation of leaf senescence in areas with longer daylength (i.e., shorter nights), possibly because plants respond to the length of uninterrupted darkness rather than daylength. This study indicates that the onset of leaf coloration was not responsive to climate warming and provides observational evidence of photoperiod control of autumnal leaf senescence at biome and continental scales.

Dissolved oxygen gradient on three dimensionally printed microfluidic platform for studying its effect on fish at three levels: cell, embryo, and larva - Ping Liu; Longwen Fu; Bowei Li; Mingsan Man; Yunxia Ji; Qi Kang; Xiyan Sun; Dazhong Shen; Lingxin Chen (Environmental Science and Pollution Research, 2022)

Monoterpenoid indole alkaloids with potential neuroprotective activities from the stems and leaves of Melodinus cochinchinensis - Yu-Jie Li; Juan Li; Lan Xie; Jun-Yu Zhou; Qiu-Xuan Li; Rui-Yuan Yang; Yan-Ping Liu; Yan-Hui Fu (Natural Product Research, 2022)

Transcriptome-Based Analysis of the Response Mechanism of Leopard Coralgrouper Liver at Different Flow Velocities - Min Yang; Jin Gao; Hongji Ke; Yongbo Wang; Jinye Liu; Xin Wen; Shuyuan Fu; Jiang Wang (Fishes, 2022)
The velocity of water can cause differences in the growth of inhabitant fish, thereby functioning as an important aquatic environmental factor. In order to explore the response mechanism of Leopard Coralgrouper (Plectropomus leopardus) under different flow velocities, P. leopardus fish of the same sizes were fed in water characterized by three different flow rates (5 cm/s, 10 cm/s, and 20 cm/s) for 150 d, after which the differences in growth and the levels of liver oxidative stress kinase were analyzed. Additionally, potential underlying regulatory pathways were explored using comparative transcriptomic approaches. The results showed that in the feeding environment involving a flow rate of 10 cm/s, the weight increase of P. leopardus and its liver contents of glutathione peroxidase (GPX), alanine aminotransferase (ALT), and superoxide dismutase (T-SOD) were significantly higher than for the other two groups. After matching the comparative transcriptomic results between group pairs (5 cm/s and 10 cm/s, 5 cm/s and 20 cm/s, and 10 cm/s and 20 cm/s), a total of 225 common differential gene expressions were screened. The KEGG pathway enrichment analysis showed that these genes were mainly involved in protein processing in the endoplasmic reticulum, the TGF-β signaling pathway, fatty acid metabolism, fatty acid synthesis, and other pathways. These results not only provide a theoretical basis for the selection of flow velocity in the culture environment of P. leopardus, but also reveal its potential means of adaption to different flow velocities.

Advancing parameter estimation with Characteristic Finite Difference Method (CFDM) for a marine ecosystem model by assimilating satellite observations: Spatial distributions - Minjie Xu; Yongzhi Liu; Zihan Zhao; Kai Fu; Xianqing Lv (Frontiers in Marine Science, 2022)
The ecosystem parameters are critical for precisely determining the marine ecological process and improving the simulations of the marine ecological model. In this study, based on the NPZD (nutrient, phytoplankton, zooplankton and detritus) model, the surface chlorophyll-a observations obtained from Sea-viewing Wide Field-of-view Sensor (SeaWiFS) data were assimilated to estimate spatially ecosystem parameters in the Bohai, Yellow, and East China Seas using an adjoint assimilation method with characteristic finite difference scheme. The experiments of the moving Gaussian hump indicated that the characteristic finite difference method (CFDM) can get rid of the limit of stability and permit using large time steps, which reduces long computation durations and large memory requirements. The model performance was significantly improved after data assimilation with CFDM using a large time step of 6 hours. Moreover, the distributions of parameters of the NPZD model in winter in the Bohai Sea, the Yellow Sea, and the East China Sea were simulated by our method. Overall, the developed method can efficiently optimize the ecosystem parameters and the results can be beneficial for determining reasonable parameters of the marine ecological model.

Fine mapping of powdery mildew and stripe rust resistance genes Pm5V/Yr5V transferred from Dasypyrum villosum into wheat without yield penalty - Ruiqi Zhang; Chuntian Lu; Xiangru Meng; Yali Fan; Jie Du; Runran Liu; Yigao Feng; Liping Xing; Petr Cápal; Kateřina Holušová; Jaroslav Doležel; Yiwei Wang; et al. (Theoretical and Applied Genetics, 2022)

Correction to: The Arctic sea ice‑cloud radiative negative feedback in the Barents and Kara Sea region - Yunhao Fu; Peng Liu; Mingyue Tang (Theoretical and Applied Climatology, 2022)

The Arctic sea ice-cloud radiative negative feedback in the Barents and Kara Sea region - Yunhao Fu; Peng Liu; Mingyue Tang (Theoretical and Applied Climatology, 2022)

Individual variation in buffalo somatic cell cloning efficiency is related to glycolytic metabolism - Chan Luo; Zhiqiang Wang; Jinling Wang; Feng Yun; Fenghua Lu; Jiayuan Fu; Qingyou Liu; Deshun Shi (Science China Life Sciences, 2022)

An Adaptive and Reliable Guided Digital Volume Correlation Algorithm for Sandstone Based on 3D Scale-Invariant Feature Transform - Haizhou Liu; Lingtao Mao; Yang Ju; Fu-pen Chiang (Rock Mechanics and Rock Engineering, 2022)

Improving pre-harvest sprouting resistance in rice by editing OsABA8ox using CRISPR/Cas9 - Kai Fu; Weihan Song; Cheng Chen; Changling Mou; Yunshuai Huang; Fulin Zhang; Qixian Hao; Ping Wang; Tengfei Ma; Yaping Chen; Ziyan Zhu; Min Zhang; et al. (Plant Cell Reports, 2022)

Plasma Matrix Metalloproeteinase-9 Is Associated with Seizure and Angioarchitecture Changes in Brain Arteriovenous Malformations - Yo-Tsen Liu; Cheng-Chia Lee; Chun-Fu Lin; Hsiu-Mei Wu; Wan-Yuo Guo; Huai-Che Yang; Feng-Chi Chang; Kang-Du Liou; Chung-Jung Lin (Molecular Neurobiology, 2022)

Comparative Methylome Analysis Reveals Epigenetic Signatures Associated with Growth and Shell Color in the Pacific Oyster, Crassostrea gigas - Chao Tan; Chenyu Shi; Yin Li; Wen Teng; Yongjing Li; Huiru Fu; Liting Ren; Hong Yu; Qi Li; Shikai Liu (Marine Biotechnology, 2022)

Cytokine storm and targeted therapy in hemophagocytic lymphohistiocytosis - Han-qi Zhang; Si-Wei Yang; Yi-Cheng Fu; Ming-Cong Chen; Cheng-Hao Yang; Ming-Hua Yang; Xiao-Dan Liu; Qing-Nan He; Hua Jiang; Ming-Yi Zhao (Immunologic Research, 2022)

Goethite and lepidocrocite catalyzing different double-oxidant systems to degrade chlorophenol - Dan Zhong; Weinan Feng; Wencheng Ma; Xinyue Liu; Jun Ma; Ziyi Zhou; Xuan Du; Fu He (Environmental Science and Pollution Research, 2022)

Spatiotemporal variations of water quality and their driving forces in the Yangtze River Basin, China, from 2008 to 2020 based on multi-statistical analyses - Shasha Liu; Rui Fu; Yun Liu; Chengyu Suo (Environmental Science and Pollution Research, 2022)

Antifungal and Antibiofilm In Vitro Activities of Ursolic Acid on Cryptococcus neoformans - Wen-Jing Wang; Chan-Chan Liu; Yan-Tong Li; Miao-Qian Li; Yu-Ting Fu; Xin-Chen Li; Jie-Kang; Wei-Dong Qian (Current Microbiology, 2022)

The Role of PTEN/PI3K/AKT Signaling Pathway in Apoptosis of Liver Cells in Cocks with Manganese Toxicity - Liu Xiaofei; Hou Yan; Fu Yu; Fan Jing; Yangyang; Zhang Na (Biological Trace Element Research, 2022)

Evolution stage, spatial and temporal variabilities of granite landforms in the Mount Wugongshan in Jiangxi Province of South China - Le Chai; Cun-di Zhong; Fu-sheng Guo; Xin-shu Huang; Dao-ying Wang; Chong-jian Shao; Liu-qin Chen (Journal of Mountain Science, 2022)

Identification of a Novel circ_0010235/miR-1249-3p/HOXA13 Axis in Lung Adenocarcinoma - Jiancheng Liu; Zejun Fu (Biochemical Genetics, 2022)

Transport Patterns and Potential Sources of Atmospheric Pollution during the XXIV Olympic Winter Games Period - Yuting Zhang; Xiaole Pan; Yu Tian; Hang Liu; Xueshun Chen; Baozhu Ge; Zhe Wang; Xiao Tang; Shandong Lei; Weijie Yao; Yuanzhe Ren; Yongli Tian; et al. (Advances in Atmospheric Sciences, 2022)
The attainment of suitable ambient air quality standards is a matter of great concern for successfully hosting the XXIV Olympic Winter Games (OWG). Transport patterns and potential sources of pollutants in Zhangjiakou (ZJK) were investigated using pollutant monitoring datasets and a dispersion model. The PM 2.5 concentration during February in ZJK has increased slightly (28%) from 2018 to 2021, mostly owing to the shift of main potential source regions of west-central Inner Mongolia and Mongolian areas (2015–18) to the North China Plain and northern Shanxi Province (NCPS) after 2018. Using CO as an indicator, the relative contributions of the different regions to the receptor site (ZJK) were evaluated based on the source-receptor-relationship method (SRR) and an emission inventory. We found that the relative contribution of pollutants from NCPS increased from 33% to 68% during 2019–21. Central Inner Mongolia (CIM) also has an important impact on ZJK under unfavorable weather conditions. This study demonstrated that the effect of pollution control measures in the NCPS and CIM should be strengthened to ensure that the air quality meets the standard during the XXIV OWG.

Tea consumption and cerebral hemorrhage risk: a meta-analysis - Pengfei Cheng; Junxiang Zhang; Wenting Liu; Quan Sun; Zhaoxin Fu; Hao Lin; Sheng Bi; Jiaying Zhu (Acta Neurologica Belgica, 2022)

Bearing Characteristics of Multi-Wing Pile Foundations under Lateral Loads in Dapeng Bay Silty Clay - Hao Wang; Dewei Fu; Tiantian Yan; Deng Pan; Weiwei Liu; Liqun Ma (Journal of Marine Science and Engineering, 2022)
This study provides a theoretical basis for reinforcement of the soil around multi-wing piles. Limit analysis was used to determine the ultimate lateral capacity (ULC) of three- and four-wing piles in Dapeng Bay silty clay. The effects of the pile–soil interaction coefficient α, wing width Bw, and lateral-load direction β on the ULC of the pile and the shear plastic zone range of the surrounding soil were analyzed. The normalized ULC of the three-wing pile decreased when the wing–diameter ratio increased. When Bw was 0.15 m and α was 0.4, the ULC of the four-wing pile was 19% higher than that of the three-wing pile. As β increased, the normalized ULC of the four-wing pile decreased, whereas that of the three-wing pile went through a minimum at 30°. The size of the soil shear plastic ring did not depend on α for either pile type; it increased around the three-wing (but not the four-wing) pile with changes in β. However, there was also a double plastic ring of broken soil around the four-wing pile. The four-wing pile had a more symmetrical influence on the soil around the pile than the three-wing pile.

Study of the LQRY-SMC Control Method for the Longitudinal Motion of Fully Submerged Hydrofoil Crafts - Hongdan Liu; Yunxing Fu; Bing Li (Journal of Marine Science and Engineering, 2022)
The control system is one of the important components of the hydrofoil craft. By adjusting the navigation attitude of the craft, the hydrofoil craft can navigate stably and safely in the turbulent environment. Aiming at the problem that existing control algorithms have poor stability in the longitudinal motion control of hydrofoil craft, the longitudinal motion reduction is limited, and there are excessive requirements for accurate disturbance wave data. Based on the fully submerged hydrofoil craft model, this article proposes a joint control method LQRY-SMC combining linear-quadratic optimal control with output regulation (LQRY) and sliding-mode control (SMC), and adds genetic algorithm to optimize the weighting matrix parameters, get better control-feedback gain, improve the global optimal-control stability, thus improving the comfort of the crew, and prevent the attack of the hull, deck wetness and damage to instruments. The simulation results show that compared with the existing methods, the heave displacement and pitch angle obtained by LQRY-SMC under the turbulent flow of different significant wave heights are reduced by about 50%, and the influence of longitudinal motion on hydrofoil crafts is avoided to a large extent, which proves the effectiveness and superiority of the method proposed.

Comprehensive Genome-Wide Analysis of Wnt Gene Family and Expression Profiling during Limb Regeneration in Portunus trituberculatus - Yuanyuan Fu; Jie He; Lei Liu; Xinlian Huang; Yuankai Xu; Chunlin Wang (Fishes, 2022)
Wnt genes encode a family of secretory glycoproteins that are involved in various stages of organ development through regulation of cell proliferation, differentiation, and growth. Recently, Wnt genes have been shown to play an important role in regeneration processes. However, there have been no previous genome-wide analyses of the Wnt gene family members in crab species. In this study, a total of 13 Wnt family genes were identified from the genome of the swimming crab Portunus trituberculatus and classified into three main groups based on the conserved domain, protein sequence, and motifs. Chromosome location analysis showed that tandem duplication may have resulted in the expansion of the PtWnt gene family. RNA-seq results indicated that most PtWnt genes had a higher Fragments Per Kilobase of transcript sequences per Million base pairs (FPKM) value in the regenerating limb bud muscle than in the normal limb muscle, and the genes were enriched in a number of pathways that had biological functions underlying limb regeneration such as the cell surface receptor signaling pathway, the hippo signaling pathway, receptor binding, and basal cell carcinoma. Moreover, quantitative real-time PCR (RT-qPCR) analysis confirmed that the expression levels of nine PtWnts except for PtWnt1, PtWnt2, and PtWnt6 had a consistently increasing trend during limb regeneration. PtWnt1, PtWnt2, and PtWnt6 exhibited significantly up- or down-regulated expression at different limb regeneration stages. These results provide valuable information for further evolutionary and functional characterization of PtWnt genes and indicate the complexity and specialized mechanism of the Wnt signaling pathway regulating regeneration in crustaceans.

Preparation of Fe/C-MgCO3 micro-electrolysis fillers and mechanism of phosphorus removal - Yanhe Han; Zhimin Su; Xuejiao Ma; Xiaolu Fu; Han Xu; Lina Liu; Meili Liu (Environmental Science and Pollution Research, 2022)

Study on the seasonal variations of dimethyl sulfide, its precursors and their impact factors in the Bohai Sea and North Yellow Sea - Yu Guo; Liying Peng; Zishi Liu; Xiaoting Fu; Guicheng Zhang; Ting Gu; Danyang Li; Jun Sun (Frontiers in Marine Science, 2022)
Dimethyl sulfide (DMS) is one of the most important volatile biogenic sulfur compounds and plays a significant role in global climate change. Studying the seasonal variations and the environmental factors that affect the concentration of DMS would aid in understanding the biogeochemical cycle of sulfur compounds. Using benzene-assisted photoionization positive ion mobility spectrometry (BAPI-PIMS), the seasonal distribution and the key impact factors of DMS and dimethylsulfoniopropionate (DMSP) in the Bohai Sea and North Yellow Sea were investigated in the summer and autumn of 2019. The concentrations of DMS and its precursors, DMSPp and DMSPd, in the surface seawater were 0.11–23.90, 0.67–41.38, and 0.03–12.28 nmol/L, respectively, in summer, and 0.10–20.79, 0.39–13.51, and 0.18–20.58 nmol/L, respectively, in autumn. The air-to-sea exchange flux of DMS was 43.05 ± 44.52 and 34.06 ± 63.38 μmol/(m·d), respectively, in summer and autumn. The results demonstrated that the temperature was the most dominant environmental factor, and the abundance of dinoflagellates was the most dominant biological factor that affected the distribution of DMS and DMSP in summer. The abundance of diatoms was the most dominant biological factor, and the levels of PO 4 3- , NO 2 - , NO 3 - , and SiO 3 2- were the dominant environmental factors that affected the distribution of DMS and DMSP in autumn. These results of this study would be of great significance in understanding the biochemical cycle of DMS in BS and NYS.

METTL3 promotes m6A hypermethylation of RBM14 via YTHDF1 leading to the progression of hepatocellular carcinoma - Jingyao Hu; Liang Yang; Xueqiang Peng; Minghuan Mao; Xiaodan Liu; Jianbo Song; Hangyu Li; Fu Chen (Human Cell, 2022)

Horizontal and vertical heterogeneity of sediment microbial community in Site F cold seep, the South China Sea - Xinyi Zhai; Xiaochong Shi; Haojin Cheng; Peng Yao; Bin Zhao; Lin Chen; Jiwen Liu; Lei Cao; Minxiao Wang; Lulu Fu; Xiao-Hua Zhang; Min Yu (Frontiers in Marine Science, 2022)
Site F is the most vigorous cold seep known on the continental slope of the northern South China Sea. Up to now, the microbial community structures in sediments of Site F based on the high-throughput sequencing of the 16S rRNA genes have been studied extensively. However, few studies investigated the microbial community structures at fine vertical scales of Site F and control stations outside Site F. In this study, a comprehensive investigation of microbial communities in sediments of Site F along the depths varying from 0 to 24 cm below sea floor (cmbsf) of four sampling sites—SRS (Southern Reduced Sediment), NRS (Northern Reduced Sediment), Control 1 (close to Site F), and Control 2 (far from Site F)—was carried out. The high relative abundances of anaerobic methanotrophic archaea (ANME), Desulfobacterota [sulfate-reducing bacteria (SRB)], and Campylobacteria [sulfur-oxidizing bacteria (SOB)] in SRS and NRS indicated that these two sites were newborn cold seep sites compared with non-seep sites, Control 1, and Control 2. A positive correlation between ANME-1b, ANME-2, and SEEP-SRB and an enrichment of Sulfurovum and Methlomonadaceae were found in the surface sediments of both SRS and NRS, indicating that the processes of anaerobic oxidation of methane (AOM), sulfur oxidation, and sulfate reduction might occur in seep sites. SRS was enriched with ANME-1b and SEEP-SRB2 with a proposed sulfate-methane transition zone (SMTZ) approximately located at 8 cmbsf. The high abundance of ANME in SRS may due to the high concentration of methane. NRS was enriched with ANME-2, Desulfatiglans , Sulfurovum , and Methanosarcinaceae with a proposed SMTZ at about 10 cmbsf. According to the analyses of microbial community structure and environmental factors, NRS could be described as a notable cold seep reduced sediment site with low sulfate and high H 2 S that nourished abundant SEEP-SRB1, ANME-2, Methanosarcinales , and Sulfurovum , which showed similar distribution pattern. Our study expands the current knowledge on the differences of microbial communities in cold seep sites and non-seep sites and sheds light on the horizontal and vertical heterogeneity of sediment microbial community in Site F.

Responses of tidal duration asymmetry to morphological changes in Lingding Bay of the Pearl River Estuary - Qingshu Yang; Shuai Hu; Linxi Fu; Ping Zhang; Nanyang Chu; Feng Liu; Huayang Cai (Frontiers in Marine Science, 2022)
Tidal asymmetry is one of the main factors for generating net transport for waterborne materials in tidal estuaries, and thus, this phenomenon has significant influences on controlling morphological development and the ecological environment. Tidal propagation is sensitive to changes in the coastline and geometry of estuarine regions. Moreover, tidal waveforms vary with various factors, such as coastline changes and bathymetry evolution due to local anthropogenic activities. The topography of Lingding Bay (LDB) of the Pearl River Estuary (PRE) has greatly changed since the 1960s because of human interventions, but the response of tidal duration asymmetry (TDA) to morphological changes is still poorly understood. Utilizing the two-dimensional Delft-3D flexible mesh numerical model, the spatial pattern of TDA and its primary contributors in LDB of the PRE were reproduced for 1964, 1989, and 2016, accounting for the changes in both shoreline and bathymetry owing to human interventions. The results reveal that as the tidal wave propagates upstream, the tidal skewness increases from negative values to positive values longitudinally, indicating the transition from a shorter ebb-duration state to a shorter flood-duration state. Additionally, a prominent shift in TDA and its primary contributors takes place approximately in the period of 1989. In 1964-1989, the tidal skewness increased by at least 0.1 throughout the LDB, indicating that the flood duration of the entire bay was shortened significantly. However, in 1989-2016, the tidal skewness decreased by at most 0.15 throughout the LDB, representing a longer flood duration in the entire LDB. The scenario simulations reveal that reclamation-induced shoreline changes control the increase in TDA and its primary contributors by enhancing width convergence of estuary in the period of 1964-1989. Conversely, the increase in water depth plays a vital role in the decrease of TDA in the period of 1989-2016. The results obtained from this study are particularly useful for understanding the controlled factors contributing to net sediment transport and the associated long-term morphological evolution in estuaries heavily impacted by human interventions.

Wheat genomic study for genetic improvement of traits in China - Jun Xiao; Bao Liu; Yingyin Yao; Zifeng Guo; Haiyan Jia; Lingrang Kong; Aimin Zhang; Wujun Ma; Zhongfu Ni; Shengbao Xu; Fei Lu; Yuannian Jiao; et al. (Science China Life Sciences, 2022)

Relative reinforcing effects of dibutylone, ethylone, and N-ethylpentylone: self-administration and behavioral economics analysis in rats - Miaojun Lai; Dan Fu; Zeming Xu; Han Du; Huifen Liu; Youmei Wang; Peng Xu; Wenhua Zhou (Psychopharmacology, 2022)

Catalytic effect of cesium on the oxidation behavior of cation exchange resins in Li2CO3-Na2CO3-K2CO3 melt - Yang-Hai Zheng; Yong-De Yan; Yun Xue; Yue-Lin Wang; Xin Liu; Wan-Sheng Mi; Qing-Guo Zhang; Yu Li; Fu-Qiu Ma; Mi-Lin Zhang; Zhi-Hao Gan; Kai Zhu (Environmental Science and Pollution Research, 2022)

Household solid fuel use with diabetes and fasting blood glucose levels among middle-aged and older adults in China - Yuxiong Chen; Siqin Feng; Zhen’ge Chang; Yakun Zhao; Jia Fu; Yijie Liu; Siqi Tang; Yitao Han; Yanbo Liu; Yuanxun Zhang; Shuyang Zhang; Zhongjie Fan (Environmental Science and Pollution Research, 2022)

Photocatalysis of aqueous PFOA by common catalysts of In2O3, Ga2O3, TiO2, CeO2 and CdS: influence factors and mechanistic insights - Caixia Fu; Xiuru Xu; Chunmiao Zheng; Xinjie Liu; Dandan Zhao; Wenhui Qiu (Environmental Geochemistry and Health, 2022)

Seismic performance and reinforcement strategy of frame infilled with ESPS block masonry wall: experimental, theoretical and numerical investigation - Biao Liu; Guo-Liang Bai; Guang-Ming Fu (Bulletin of Earthquake Engineering, 2022)

Salmonella enteritidis and Listeria monocytogenes: inactivation effect and aerobic respiratory limitation of cold plasma treatment - Tengfei Fu; Yafu Liu; Jiamei Wang (Journal of Consumer Protection and Food Safety, 2022)

Analysis of efficient operation conditions of the Shuang 6 gas storage in Shuangtaizi Oilfield, LiaoHe Basin, China - Jianda Li; Lingdong Meng; Xiaofei Fu; Yejun Jin; Mingming Jiang; Cong Liu (Arabian Journal of Geosciences, 2022)

Novel SNPs in the 3′UTR Region of GHRb Gene Associated with Growth Traits in Striped Catfish (Pangasianodon hypophthalmus), a Valuable Aquaculture Species - Liang-Sen Jiang; Zhuo-Hao Ruan; Zhi-Qiang Lu; Yi-Fu Li; Yuan-Yuan Luo; Xi-Quan Zhang; Wen-Sheng Liu (Fishes, 2022)
The striped catfish, Pangasianodon hypophthalmus is an important freshwater aquaculture species in Southeast Asian countries due to its rapid growth. The growth hormone receptor (GHR) is a significant regulatory factor for the growth axis and has great potential applications in animal genetic breeding. This study aims to characterize the GHRb cDNA of the striped catfish and analyze the distribution of its mRNA. Screening of single nucleotide polymorphisms’ (SNPs) loci and diplotypes was performed to provide basic information for the assisted selection of molecular markers in genetic breeding. The results showed that the GHRb cDNA of striped catfish had 2791 bp, which encoded for 569 amino acids. In a phylogenyic study, the ghrb of the striped catfish was clustered with those of other catfish and they were highly homologous. Quantitative real-time PCR (qRT-PCR) experiments showed that GHRb mRNA was expressed in ten different organs of the striped catfish, with the highest expression level in the liver. Five SNP and a haplotype block were identified in the 3′UTR of the GHRb gene using the direct sequencing of 307 individuals. Three haplotypes were found and four diplotypes were constructed. The association analysis revealed that these polymorphisms were significantly associated with growth traits in the striped catfish (p

CHLNET: A novel hybrid 1D CNN-SVR algorithm for estimating ocean surface chlorophyll-a - Donglin Fan; Hongchang He; Ruisheng Wang; You Zeng; Bolin Fu; Yuankang Xiong; Lilong Liu; Yong Xu; Ertao Gao (Frontiers in Marine Science, 2022)
Developing a unified chlorophyll-a (Chla) inversion algorithm for cross-water types is a significant challenge owing to the insufficiency of input features and training samples. Although machine learning algorithms can build a consistent model for different trophic waters, the accuracy of the inversion is dependent on the quality of the extended features. Here, we designed a novel hybrid framework called CHLNET, which combines a one-dimensional convolutional neural network (1D CNN) and support vector regression (SVR). The 1D CNN is used to extract features from the original band features, and the SVR is used to perform a fit of Chla. CHLNET is trained and tested using match-up pairs of SeaWiFS remote sensing reflectance [Rrs(λ)] in situ with Chla ranging from 0.009 mg/m³ to 138.046 mg/m³, which covers mostly ocean water types. Performance metrics in the log space of CHLNET were better than those of the state-of-the-art algorithms on the testing dataset, and CHLNET had the best overall performance with the largest cover area in the star plot. The frequency distribution of predicted Chla by CHLNET was more consistent with that of in situ Chla. While the spatial pattern was not smooth in low Chla concentration waters, CHLNET demonstrated excellent mapping ability at the global and local scales in high Chla concentration waters. Through the band-shift method, which transfers the Rrs(λ) of MERIS and MODIS-Aqua to the Rrs(λ) of SeaWiFS in the visible spectral range, CHLNET obtained better accuracy than the blended algorithm of OCx and CI on MERIS and MODIS-Aqua matchups, which validates the generalization of CHLNET on cross-sensor types. The results indicate that CHLNET avoids the drawbacks of manually constructing extended features and the need for merging water type-appropriate algorithms for Chla retrieval, as well as provides a new idea for unified Chla concentration inversion across water types. Thus, CHLNET may serve as an alternative approach for Chla inversion.

Dietary inosine monophosphate improved liver health and flesh quality of gibel carp (Carassius auratus gibelio) via activating AMPK signalling pathway and enhancing the contents of muscle fat and flavour substance - Wanjie Cai; Haokun Liu; Lele Fu; Dong Han; Xiaoming Zhu; Junyan Jin; Yunxia Yang; Shouqi Xie (Frontiers in Marine Science, 2022)
Inosine monophosphate (IMP) improves the flesh quality of livestock and poultry, but studies about its effect on fishes are limited. The aim of the present study was to investigate the effect of exogenous IMP on the liver health and flesh quality of gibel carp ( Carassius auratus gibelio ). The results showed that IMP supplementation alleviated hepatic lipid deposition by increasing the AMP/ATP ratio and activating the AMPK signaling pathway then decreased inflammatory cytokine expression levels. Additionally, IMP increased the intramuscular fat content. Metabolomic analysis of meat revealed that the IMP, adenosine monophosphate (AMP), guanosine, inosine and purine metabolism pathways were involved in the improvements in fish meat quality, composition and taste that resulted from IMP supplementation. Our study provides a relatively comprehensive assessment of the effect of exogenous IMP on the liver metabolism and flesh quality of farmed fish. The results provide an effective food supplementation strategy for cultured fish.

Mapping Cell Phenomics with Multiparametric Flow Cytometry Assays - Yang Liu; Haichu Zhao; Boqiang Fu; Shan Jiang; Jing Wang; Ying Wan (Phenomics, 2022)
Phenomics explores the complex interactions among genes, epigenetics, symbiotic microorganisms, diet, and environmental exposure based on the physical, chemical, and biological characteristics of individuals and groups. Increasingly efficient and comprehensive phenotyping techniques have been integrated into modern phenomics-related research. Multicolor flow cytometry technology provides more measurement parameters than conventional flow cytometry. Based on detailed descriptions of cell phenotypes, rare cell populations and cell subsets can be distinguished, new cell phenotypes can be discovered, and cell apoptosis characteristics can be detected, which will expand the potential of cell phenomics research. Based on the enhancements in multicolor flow cytometry hardware, software, reagents, and method design, the present review summarizes the recent advances and applications of multicolor flow cytometry in cell phenomics, illuminating the potential of applying phenomics in future studies.

miR-517b-3p promotes the progression of portal vein tumor thrombus via activating Wnt/β-catenin signaling pathway in hepatocellular carcinoma - Rui-Sheng Ke; Kun-Zhai Huang; De-sheng Bao; Jing-Rui Yang; Hua-xiang Wang; Li-Zhi Lv; Yi Jiang; Zhao-Hui Liu; Fu-Xing Zhang (Molecular Biology Reports, 2022)

Taurine supplementation improves hippocampal metabolism in immature rats with intrauterine growth restriction (IUGR) through protecting neurons and reducing gliosis - Qiong Fang; Jing Liu; Lang Chen; Qiaobin Chen; Yan Wang; Zuanfang Li; Wei Fu; Ying Liu (Metabolic Brain Disease, 2022)

Automatic skin lesion classification using a new densely connected convolutional network with an SF module - Pufang Shan; Chong Fu; Liming Dai; Tihui Jia; Ming Tie; Jun Liu (Medical & Biological Engineering & Computing, 2022)

Role of host plants in the suitability and dispersal of an omnivorous predator Arma chinensis Fallou (Hemiptera: Pentatomidae: Asopinae) in a biological control context - Ming-Zhen Pan; Zhi-Xiao Fu; Yu-Yan Li; Hong-Yin Chen; Li-Sheng Zhang; Tong-Xian Liu (Journal of Plant Diseases and Protection, 2022)

Ginsenoside Rb3 attenuates skin flap ischemia-reperfusion damage by inhibiting STING-IRF3 signaling - Yuanbin Li; Haifen Liu; Zhaohui Zeng; Hui Lin; Xin Chen; Xianglian Yuan; Jizhe Qiu; Fengchun Fu; Zhuang Chen; Jianjun Kuang (Journal of Molecular Histology, 2022)

The safety degree evaluation of marine biodiversity in China - Xiu-Mei Fu; Wan-Yu Wu; Fang Yang; Shan-Shan Jiang; Shi-Qi Wang; Xiao-Yan Li; Hui-Ying Tang; Ying Liu; Chang-Yun Wang (Journal of Coastal Conservation, 2022)

IL-38, a potential therapeutic agent for lupus, inhibits lupus progression - Wang-Dong Xu; Lin-Chong Su; Lu Fu; You-Yu Lan; Xiao-Yan Liu; Qi Huang; Qian Wu; Jie Zhou; An-Fang Huang (Inflammation Research, 2022)

Case series of congenital pseudarthrosis of the tibia unfulfilling neurofibromatosis type 1 diagnosis: 21% with somatic NF1 haploinsufficiency in the periosteum - Yu Zheng; Guanghui Zhu; Yaoxi Liu; Weihua Zhao; Yongjia Yang; Zhenqing Luo; Yuyan Fu; Haibo Mei; Zhengmao Hu (Human Genetics, 2022)

Correction to: Transcriptome analysis of skin color variation during and after overwintering of Malaysian red tilapia - Bingjie Jiang; Lanmei Wang; Mingkun Luo; Jianjun Fu; Wenbin Zhu; Wei Liu; Zaijie Dong (Fish Physiology and Biochemistry, 2022)

The impact of drivers’ short-term exposure to air pollution on traffic deaths - Daqian Shi; Ziwei Liu; Jie Fu; Hongwei Yu (Environmental Science and Pollution Research, 2022)

Swift reduction of nitroaromatics by gold nanoparticles anchored on steam-activated carbon black via simple preparation - Yukui Fu; Cui Lai; Wenjing Chen; Huan Yi; Xigui Liu; Xiuqin Huo; Weicheng Cao; Zhuotong Zeng; Lei Qin (Environmental Science and Pollution Research, 2022)

Mutation of rpoS is Beneficial for Suppressing Organic Acid Secretion During 1,3-Propandiol Biosynthesis in Klebsiella pneumoniae - Shufan Dong; Xuxia Liu; Tianyu Chen; Xiaoqin Zhou; Shengming Li; Shuilin Fu; Heng Gong (Current Microbiology, 2022)

Blockchain-enhanced trading systems for construction industry to control carbon emissions - Zhan Shu; Wenhao Liu; Bailu Fu; Zheng Li; Minjuan He (Clean Technologies and Environmental Policy, 2022)

Gene expression associated with human brain activations in facial expression recognition - Zirui Wang; Yuan Ji; Yumeng Fu; Feng Liu; Xin Du; Huaigui Liu; Wenshuang Zhu; Kaizhong Xue; Wen Qin; Quan Zhang (Brain Imaging and Behavior, 2022)

Reliable reference genes for qPCR normalization in females of the mirid predator, Cyrtorhinus lividipennis (Hemiptera: Miridae) - Kui Hu; Ke Chen; Baobao Fu; Jianqi Liu; Yan Li; Qinjian Pan; Fang Liu (Biologia, 2022)

Fertility conversion between cytoplasmic maintainer lines and restorer lines through molecular marker-assisted selection in pepper (Capsicum annuum L.) - Fu-Sen Ren; Hai-Feng Yang; Yu-Shun Jiao; Rui-Ping Zhang; Zhi-Wei Guo; He-Juan Liu; Qiang Sun; Xi-Jun Li; Xiu-Fang Tan; Bei Zhang; Jun-Qi Zhen; Yan-Qi Dong (Biologia, 2022)

Fengyun-4 Geostationary Satellite-Based Solar Energy Nowcasting System and Its Application in North China - Chunlin Huang; Hongrong Shi; Ling Gao; Mengqi Liu; Qixiang Chen; Disong Fu; Shu Wang; Yuan Yuan; Xiang’ao Xia (Advances in Atmospheric Sciences, 2022)

Simulated microgravity shapes the endophytic bacterial community by affecting wheat root metabolism - Jingjing Cui; Zhihao Yi; Yuming Fu; Hong Liu (Environmental Microbiology, 2022)
Summary To improve nutrient utilization and pathogenic resistance of plants in space, it is crucial to understand the effects of microgravity on the plant root microbiome. However, the finer details of whether and how microgravity affects the root microbiome remain unclear. Here, we found that simulated microgravity elicits no significant changes in fungal community composition and diversity, whether rhizosphere or endophytic. However, simulated microgravity caused a significant change in the composition and diversity of endophytic bacteria of wheat seedlings, but not in rhizosphere bacteria. The alteration of endophytic bacterial communities demonstrates that wheat seedlings adopt strategies to recruit additional endophytic Enterobacteriaceae and increase the stability of the endophytic bacterial network to respond to the challenge of simulated microgravity. Furthermore, our results also suggest that the corresponding changes in endophytic bacteria under simulated microgravity are closely related to a significant decrease in metabolites of the host's carbon metabolism, flavonoid biosynthesis, benzoxazinoid biosynthesis, and tryptophan metabolism pathways. Our findings reveal details important to our understanding of the impact of gravity on the microbial community of plant seedlings and the theoretical basis for manipulation of microorganisms to ensure efficient plant production in space.

Application of load transfer method for bored pile in loess area - Zhijun Zhou; Zhipeng Zhang; Chaoran Chen; Fu Xu; Tianyu Xu; Linxuan Zhu; Tong Liu (European Journal of Environmental and Civil Engineering, 2022)

Evaluation of LAI Estimation of Mangrove Communities Using DLR and ELR Algorithms With UAV, Hyperspectral, and SAR Images - Bolin Fu; Jun Sun; Yeqiao Wang; Wenlan Yang; Hongchang He; Lilong Liu; Liangke Huang; Donglin Fan; Ertao Gao (Frontiers in Marine Science, 2022)
The high-precision estimation of mangrove leaf area index (LAI) using a deep learning regression algorithm (DLR) always requires a large amount of training sample data. However, it is difficult for LAI field measurements to collect a sufficient amount of sample data in mangrove wetlands. To tackle this challenge, this paper proposed an approach for expanding training samples and quantitatively evaluated the performance of estimating LAI for mangrove communities using Deep Neural Networks (DNN) and Transformer algorithms. This study also explored the effects of unmanned aerial vehicle (UAV) and Sentinel-2A multispectral, orbital hyper spectral (OHS), and GF-3 SAR images on LAI estimation of different mangrove communities. Finally, this paper evaluated the LAI estimation ability of mangrove communities using ensemble learning regression (ELR) and DLR algorithms. The results showed that: (1) the UAV images achieved the better LAI estimation of different mangrove communities (R 2 = 0.5974–0.6186), and GF-3 SAR images were better for LAI estimation of Avicennia marina with high coverage (R 2 = 0.567). The optimal spectral range for estimating LAI for mangroves in the optical images was between 650–680 nm. (2) The ELR model outperformed single base model, and produced the high-accuracy LAI estimation (R 2 = 0.5266–0.713) for different mangrove communities. (3) The average accuracy (R 2 ) of the ELR model was higher by 0.0019–0.149 than the DLR models, which demonstrated that the ELR model had a better capability (R 2 = 0.5865–0.6416) in LAI estimation. The Transformer-based LAI estimation of A. marina (R 2 = 0.6355) was better than the DNN model, while the DNN model produced higher accuracy for Kandelia candel (KC) (R 2 = 0.5577). (4) With the increase in the expansion ratio of the training sample (10–50%), the LAI estimation accuracy (R 2 ) of DNN and Transformer models for different mangrove communities increased by 0.1166–0.2037 and 0.1037–0.1644, respectively. Under the same estimation accuracy, the sample enhancement method in this paper could reduce the number of filed measurements by 20–40%.

Exploitation of the antifungal and antibiofilm activities of plumbagin against Cryptococcus neoformans - Weidong Qian; Wenjing Wang; Jianing Zhang; Yuting Fu; Qiming Liu; Xinchen Li; Ting Wang; Qian Zhang (Biofouling, 2022)

Establishment of a set of wheat-rye addition lines with resistance to stem rust - Chang Liu; Jing Wang; Shulan Fu; Long Wang; Hongwei Li; Mian Wang; Yuhong Huang; Qinghua Shi; Yonghong Zhou; Xianrui Guo; Congle Zhu; Jing Zhang; et al. (Theoretical and Applied Genetics, 2022)

Increased water vapor supply in winter and spring leading to the arid Central Asian wetting in last 6000 years - Xu Zhang; Bo Liu; Shengqian Chen; Zhenhao Fu; Tingting Xie; Fahu Chen (Science China Earth Sciences, 2022)

Divergent responses of fine root decomposition to removal of understory plants and overstory trees in subtropical Eucalyptus urophylla plantations - Yuanqi Chen; Yanju Zhang; Jianbo Cao; Shenglei Fu; Jun Wang; Hans Lambers; Zhanfeng Liu (Plant and Soil, 2022)

PPARγ Dysfunction in the Medial Prefrontal Cortex Mediates High-Fat Diet-Induced Depression - Cong-Cong Fu; Xin-Yi Zhang; Liu Xu; Hui-Xian Huang; Shuang Xu; Qiao-Qi Wu; Zhen Wang; Xi Gu; Li-Fang Lin; Song Lin; Ying-Ying Fang; Xiong Cao; et al. (Molecular Neurobiology, 2022)