Steady decline in food self-sufficiency in Africa from 1961 to 2018 - Zhiying Zhang; Giri Raj Kattel; Yi Shang; Guojie Wang; Xiaowei Chuai; Qianfeng Wang; Xuefeng Cui; Lijuan Miao (Regional Environmental Change, 2023)

KOtBu-catalysed α-homoallylic alkylation of acyclic amides with 1-aryl-1,3-dienes - Yunfei Xiang; Ruisheng Du; Shang Wang; Xiang Wu; Jie Tang; Fan Yang; Dong Xing (Molecular Diversity, 2023)

Exogenous Melatonin and CaCl2 Alleviate Cold-Induced Oxidative Stress and Photosynthetic Inhibition in Cucumber Seedlings - Cheng Ma; Zi-Qi Pei; Xue Bai; Shang-Huan Lu; Min Su; Xin Kang; Hai-Xia Gao; Juan Wang; Teng-Guo Zhang; Sheng Zheng (Journal of Plant Growth Regulation, 2023)

Large-scale climate response to regionally confined extratropical cooling: effect of ocean dynamics - Jiyeong Kim; Sarah M. Kang; Shang-Ping Xie; Baoqiang Xiang; Doyeon Kim; Xiao-Tong Zheng; Hai Wang (Climate Dynamics, 2023)

A novel recombinant porcine sapovirus infection in piglets with diarrhea in Shandong Province, China, 2022 - Ran Wei; Rui Shang; Kaihui Cheng; Song Wang; Jiaqiang Wu; Zhijun Yu (Brazilian Journal of Microbiology, 2023)

CRISPR/Cas9-assisted ssDNA recombineering for site-directed mutagenesis and saturation mutagenesis of plasmid-encoded genes - Guoyi Zhang; Junyu Wang; Yiwen Li; Guangdong Shang (Biotechnology Letters, 2023)

Internet addiction-induced brain structure and function alterations: a systematic review and meta-analysis of voxel-based morphometry and resting-state functional connectivity studies - Jing-Ting Sun; Bo Hu; Tian-Qi Chen; Zhu-Hong Chen; Yu-Xuan Shang; Yu-Ting Li; Rui Wang; Wen Wang (Brain Imaging and Behavior, 2023)

Association of Serum Magnesium with Gastrointestinal Bleeding in Peritoneal Dialysis Patients: a Multicentre Retrospective Study - Ning Su; Xingming Tang; Xiaoyang Wang; Yueqiang Wen; Xiaoran Feng; Qian Zhou; Xiaojiang Zhan; Sijia Shang (Biological Trace Element Research, 2023)

Carbon, Nitrogen, and Sulfur Contents in Marine Phytoplankton Cells and Biomass Conversion - Wenqing Chen; Shimin Yang; Jie Shang; Jinwen Wang (Journal of Ocean University of China, 2023)

Transition of spatio-temporal distribution of soil enzyme activity after straw incorporation: From rhizosphere to detritusphere - Shang Wang; Xuechen Zhang; Jie Zhou; Zhuo Xu; Qianhan Ma; Juncong Chu; Huadong Zang; Yadong Yang; Leanne Peixoto; Zhaohai Zeng; Bahar S. Razavi (Applied Soil Ecology, 2023)

Dataset of Comparative Observations for Land Surface Processes over the Semi-Arid Alpine Grassland against Alpine Lakes in the Source Region of the Yellow River - Xianhong Meng; Shihua Lyu; Zhaoguo Li; Yinhuan Ao; Lijuan Wen; Lunyu Shang; Shaoying Wang; Mingshan Deng; Shaobo Zhang; Lin Zhao; Hao Chen; Di Ma; et al. (Advances in Atmospheric Sciences, 2023)
Thousands of lakes on the Tibetan Plateau (TP) play a critical role in the regional water cycle, weather, and climate. In recent years, the areas of TP lakes underwent drastic changes and have become a research hotspot. However, the characteristics of the lake-atmosphere interaction over the high-altitude lakes are still unclear, which inhibits model development and the accurate simulation of lake climate effects. The source region of the Yellow River (SRYR) has the largest outflow lake and freshwater lake on the TP and is one of the most densely distributed lakes on the TP. Since 2011, three observation sites have been set up in the Ngoring Lake basin in the SRYR to monitor the lake-atmosphere interaction and the differences among water-heat exchanges over the land and lake surfaces. This study presents an eight-year (2012–19), half-hourly, observation-based dataset related to lake–atmosphere interactions composed of three sites. The three sites represent the lake surface, the lakeside, and the land. The observations contain the basic meteorological elements, surface radiation, eddy covariance system, soil temperature, and moisture (for land). Information related to the sites and instruments, the continuity and completeness of data, and the differences among the observational results at different sites are described in this study. These data have been used in the previous study to reveal a few energy and water exchange characteristics of TP lakes and to validate and improve the lake and land surface model. The dataset is available at National Cryosphere Desert Data Center and Science Data Bank.

Chinese version of the auditory verbal learning test: normative study and clinical applications in Chinese-speaking population in Shijiazhuang city - Fang-Ming Dong; Wei Wang; Shang-Zun Guo; Kai Shao; Ya-Xue Song; Ning Han; Yan-Li Jia; Rong-Fang Feng; Jian-Hua Wang (Acta Neurologica Belgica, 2023)

Evolutionary origin and establishment of a dioecious diploid‐tetraploid complex - Li He; Fei‐Yi Guo; Xin‐Jie Cai; Hong‐Pu Chen; Chun‐Lan Lian; Yuan Wang; Ce Shang; Yue Zhang; Natascha Dorothea Wagner; Zhi‐Xiang Zhang; Elvira Hörandl; Xiao‐Ru Wang (Molecular Ecology, 2023)
Polyploids recurrently emerge in angiosperms, but most polyploids are likely to go extinct before establishment due to minority cytotype exclusion, which may be specifically a constraint for dioecious plants. Here we test the hypothesis that a stable sex‐determination system and spatial/ecological isolation facilitate the establishment of dioecious polyploids. We determined the ploidy levels of 351 individuals from 28 populations of the dioecious species Salix polyclona , and resequenced 190 individuals of S . polyclona and related taxa for genomic diversity analyses. The ploidy survey revealed a frequency 52% of tetraploids in S . polyclona , and genomic k ‐mer spectra analyses suggested an autopolyploid origin for them. Comparisons of diploid male and female genomes identified a female heterogametic sex‐determining factor on chromosome 15, which probably also acts in the dioecious tetraploids. Phylogenetic analyses revealed two diploid clades and a separate clade/grade of tetraploids with a distinct geographic distribution confined to western and central China, where complex mountain systems create higher levels of environmental heterogeneity. Fossil‐calibrated phylogenies showed that the polyploids emerged during 7.6–2.3 million years ago, and population demographic histories largely matched the geological and climatic history of the region. Our results suggest that inheritance of the sex‐determining system from the diploid progenitor as intrinsic factor and spatial isolation as extrinsic factor may have facilitated the preservation and establishment of polyploid dioecious populations.

Comparison genetic diversity and population structure of four Pseudaspius leptocephalus populations in Heilongjiang River Basin based on mitochondrial COI gene - Haijun Wei; Longwu Geng; Xinchi Shang; Lei Li; Bo Ma; Yuyong Zhang; Wang Li; Wei Xu (Frontiers in Marine Science, 2023)
The Pseudaspius leptocephalus is a unique fish in the Heilongjiang River Basin and has important economic and ecological value. In the present study, the complete mitochondrial genome of P. leptocephalus were determined, and COI partial sequences of 85 individuals from Erguna river (EH), Mohe (MH), Fuyuan (FY), Hulan (HL) were used to evaluated the genetic diversity of four populations of P. leptocephalus in Heilongjiang River Basin. The mitogenome is 16,607 bp in length and contained one D-loop, 2 rRNA, 13 PCG, and 22 tRNA. 4 variable sites and 5 haplotypes were detected in 705 bp COI, and 705 bp COI exhibited a lower content of C + G (45.95%) than A + T (54.05%). The nucleotide diversity (π) and haplotype diversity (h) indices ranged from 0.00027 (HL) to 0.00065 (EH and FY) and from 0.192 (HL) to 0.462 (EH), respectively. The genetic distance within the population and between populations ranged from 0.0006554 to 0.0002728 and from 0.0003541 to 0.0006974, respectively. Pairwise values of FST and Nm showed that there was moderate genetic differentiation between EH population and other populations and individuals between EH population and other populations can mate randomly (0.15 > FST > 0.05, Nm > 4). Significant negative values of neutrality tests ( P < 0.05) indicated that MH and FY populations may had experienced population expansion, but mismatch distribution analysis suggested that all populations have remained basically stable. These results provide strong basis for the protection and utilization of P. leptocephalus germplasm resources, and provide valuable information for the population structure and genetic diversity of P. leptocephalus.

Transcriptomic and metabolomic analyses revealed epiboly delayed mechanisms of 2,5-dichloro-1, 4-benuinone on zebrafish embryos - Yuanyao Chen; Jingming Wang; Zhiquan Yu; Lin Xiao; Jia Xu; Kai Zhao; Huiping Zhang; Xuejun Shang; Chunyan Liu (Environmental Science and Pollution Research, 2023)

Phase-change material cooling blanket: A feasible cooling choice during transport after exercise-induced hyperthermia - Xin Wang; Xueyi Shang; Xin Li; Shuyuan Liu; Bin Lai; Lizhi Ma; Ying Sun; Lan Ma; Bo Ning; Yan Li; Qian Wang (Journal of Thermal Biology, 2023)

Investigating river health across mountain to urban transitions using Pythagorean fuzzy cloud technique under uncertain environment - Zhengxian Zhang; Yun Li; Xiaogang Wang; Yi Liu; Wei Tang; Wenhao Ding; Qi Han; Guoxiu Shang; Zhe Wang; Kaixiao Chen; Jinhua Shao; Weixiong Wu (Journal of Hydrology, 2023)

Pickering emulsion stabilized by gliadin nanoparticles for astaxanthin delivery - Yin Zhang; Haitao Wang; Yitong Hou; Jia Song; Wenbo Shang; Pengjing Zhang; Shuai Hou; Mingqian Tan (Journal of Food Engineering, 2023)

Efficient nitrogen removal and partial elemental sulfur recovery by combined nitrite-Anammox and sulfate-Anammox: A novel strategy for treating mature landfill leachate - Fangzhai Zhang; Shang Ren; Haoran Liang; Zhaozhi Wang; Ying Yan; Jiahui Wang; Yongzhen Peng (Journal of Cleaner Production, 2023)

Deicing behavior and residue characteristic on cold surface excited by ultrasonic vibration - Leihu Shen; Dong Li; Yuhe Shang; Jiayong Wang (International Journal of Refrigeration, 2023)

Carbon isotope fractionation during shale gas release: Experimental results and molecular modeling of mechanisms - Yu Liu; Feng Liang; Fuhua Shang; Yang Wang; Qin Zhang; Zhen Shen; Chi Su (Gas Science and Engineering, 2023)

β-cyclodextrin-scaffolded crosslinked poly(ionic liquid)s for ultrafast removal of multiple pollutants: Insight into adsorption performance and mechanism - Jing Chen; Chunyang Bao; Mengshi Chen; Yan Wang; Xiaoling Xu; Tao Yang; Cenyao Shang; Qiang Zhang (Chemical Engineering Journal, 2023)

Improving cold-adaptability of mesophilic cellulase complex with a novel mushroom cellobiohydrolase for efficient low-temperature ensiling - Ming Gong; Ying Wang; Dapeng Bao; Shan Jiang; Hongyu Chen; Junjun Shang; Xiaojun Wang; Hnin Hnin Yu; Gen Zou (Bioresource Technology, 2023)

Identification of MYB gene family and functional analysis of GhMYB4 in cotton (Gossypium spp.) - Yuanli Dai; Shang Liu; Dongyun Zuo; Qiaolian Wang; Limin Lv; Youping Zhang; Hailiang Cheng; John Z. Yu; Guoli Song (Molecular Genetics and Genomics, 2023)

Survival, Energy Status, and Cellular Stress Responses of the Juvenile Swimming Crab Portunus trituberculatus under Acute Nitrite Stress - Xiaochen Liu; Daixia Wang; Yan Shang; Xuee Yu; Baoquan Gao; Jianjian Lv; Jitao Li; Ping Liu; Jian Li; Xianliang Meng (Fishes, 2023)
Nitrite is a common pollutant encountered in aquaculture systems. During intensive hatchery, accumulation of nitrite can cause massive mortality of juvenile crustaceans. However, the nitrite toxicity and cellular stress responses in juvenile crustaceans is not clearly understood. Here, we investigate the survival, energy metabolism, and cellular stress responses in juvenile P. trituberculatus, an important aquaculture species in China, under acute nitrite stress. The results revealed nitrite resulted in a significant decrease in survival rate of juvenile swimming crab. After nitrite exposure, the activity of catabolic enzymes, such as HK, PK, CS, and CPT-1, were initially enhanced, and then they showed significant decrease at the late stage of exposure, accompanied by reduction in ATP and adenylate energy charge (AEC). The impaired energy homeostasis was possibly associated with disturbed AMPK signaling and enhanced anaerobic metabolism, which was indicated by the high levels of LDH activity and HIF-1α expression. Furthermore, we found that nitrite stress can depress antioxidant systems and unfold protein responses, causing oxidative damage and endoplasmic reticulum (ER) stress, and this, in turn, can trigger autophagy and apoptosis through both caspase-dependent and caspase-independent pathways. The results of the present study improve our understanding regarding adverse effects of nitrite on P. trituberculatus and provide valuable information for hatchery management.

Influence of ligands within Al-based metal-organic frameworks for selective separation of methane from unconventional natural gas - Yixuan Yu; Mingyang Shang; Lingtong Kong; Xianhai Li; Lina Wang; Tianjun Sun (Chemosphere, 2023)

Using lightweight deep learning algorithm for real-time detection of apple flowers in natural environments - Yuying Shang; Xingshi Xu; Yitao Jiao; Zheng Wang; Zhixin Hua; Huaibo Song (Computers and Electronics in Agriculture, 2023)

Polymer-flooding produced water treatment using an electro-hybrid ozonation-coagulation system with novel cathode membranes targeting alternating filtration and in situ self-cleaning - Xin Jin; Keqian Li; Yixiong Wei; Yabo Shang; Lanzhou Xu; Mengwen Liu; Lu Xu; Xue Bai; Xuan Shi; Pengkang Jin; Jina Song; Xiaochang C. Wang (Water Research, 2023)

Microfluidic intestine-on-a-chip: Current progress and further perspectives of probiotic-foodborne pathogen interactions - Xinran Xiang; Xinbin Wang; Yuting Shang; Yu Ding (Trends in Food Science & Technology, 2023)

Ellagic acid induces apoptosis and autophagy in colon cancer through the AMPK/mTOR pathway - Xiong Ni; Fu-Sheng Shang; Ting-Feng Wang; De-Jun Wu; Da-Gui Chen; Biao Zhuang (Tissue and Cell, 2023)

The potential of biomass-derived bio-liquid to prevent the spread of SARS-CoV-2 from waste and its production-based life cycle assessment - Hua Shang; Wang Zhao; Xiaokai Zhang; Zhenyu Wang (Science of The Total Environment, 2023)

Sn/MoC@NC hollow nanospheres as Schottky catalyst for highly sensitive electrochemical detection of methyl parathion - Ruixia Li; Minghui Shang; Taotao Zhe; Mingyan Li; Feier Bai; Zhihao Xu; Tong Bu; Fan Li; Li Wang (Journal of Hazardous Materials, 2023)

Enhanced treatment of m-dichlorobenzene waste gas in biotrickling filters: Performance, mass transfer and microbial community - Jiajie Wang; Bairen Yang; Zhuqiu Sun; Qingqing Shang; Junheng Zhang (Journal of Environmental Chemical Engineering, 2023)

Exploration of the metabolic flexibility of glycogen accumulating organisms through metatranscriptome analysis and metabolic characterization - Bin Zhao; Yanping Yang; Chen Zhao; Chunchun Zhang; Zhaohui Zhang; Liang Wang; Shang Wang; Jingfeng Wang (Journal of Environmental Sciences, 2023)

Apatite and fluorite control the transport of tungsten in calcium-bearing hydrothermal fluids - Xin-Song Wang; A.E. Williams-Jones; Rui-Zhong Hu; Zi-Qi Jiang; Lin-Bo Shang; Xian-Wu Bi (Geochimica et Cosmochimica Acta, 2023)

Fabrication and characterization of Pickering emulsion gels stabilized by gliadin/starch complex for the delivery of astaxanthin - Jia Song; Hongliang Li; Wenbo Shang; Haitao Wang; Mingqian Tan (Food Hydrocolloids, 2023)

Pulsed light reduces postharvest losses of Chinese bayberries by affecting fungal microbiota during cold storage - Yan Wang; Yong Zheng; Jie Shang; Di Wu; Aiyun Zhou; Ming Cai; Haiyan Gao; Kai Yang (Food Control, 2023)

A universal strategy for green synthesis of biomass-based transition metal single-atom catalysts by simple hydrothermal and compression treatment - Dong Li; Fang Zhang; Lei Luo; Yewen Shang; Shengshu Yang; Jiaxiao Wang; Wenxing Chen; Zhengang Liu (Chemical Engineering Journal, 2023)

Strain-induced conductive network and memory effect of maximum strain in liquid metal hierarchical structure - Shengding Wang; Fali Li; Shiying Li; Jinwei Cao; Shengbin Li; Zidong He; Huiyun Xiao; Yuanzhao Wu; Jie Shang; Yiwei Liu; Run-Wei Li (Chemical Engineering Journal, 2023)

Indirect oxidation mechanism governing in P-rGO/Ti anode with C2-PO2/rGO configuration for efficient 2-Methyl-4-Isothiazolin-3-one electrooxidation - Ruijun Ren; Zhihui Xiao; Xiaomeng Shang; Chen Li; Zhenbei Wang; Bingbing Xu; Qiang Wang; Fei Qi; Yue Liu; Amir Ikhlaq; Jolanta Kumirska; Ewa Maria Siedlecka; et al. (Chemical Engineering Journal, 2023)

Identification and expression of the CCO family during development, ripening and stress response in banana - Liming Zeng; Liwang Zeng; Yu Wang; Zhengnan Xie; Minhua Zhao; Jie Chen; Xiaoxue Ye; Weiwei Tie; Meiying Li; Sang Shang; Libo Tian; Jian Zeng; et al. (Genetica, 2023)

GNSS spoofing detection based on multicorrelator distortion monitoring - Xiangyong Shang; Fuping Sun; Daming Wang; Kai Xiao; Sai Dou; Xiuwei Lu; Ji Sun (GPS Solutions, 2023)

Assessing the consistency of crop leaf area index derived from seasonal Sentinel-2 and Landsat 8 imagery over Manitoba, Canada - Taifeng Dong; Jane Liu; Jiangui Liu; Liming He; Rong Wang; Budong Qian; Heather McNairn; Jarrett Powers; Yichao Shi; Jing M Chen; Jiali Shang (Agricultural and Forest Meteorology, 2023)

Inhibition of ferroptosis by icariin treatment attenuates excessive ethanol consumption-induced atrial remodeling and susceptibility to atrial fibrillation, role of SIRT1 - Li-Ming Yu; Xue Dong; Tao Huang; Ji-Kai Zhao; Zi-Jun Zhou; Yu-Ting Huang; Yin-Li Xu; Qiu-Sheng Zhao; Zhi-Shang Wang; Hui Jiang; Zong-Tao Yin; Hui-Shan Wang (Apoptosis, 2023)

Nocardia seriolae mediates liver granulomatous chronic inflammation in Micropterus salmoides through pyroptosis - Zheng‐Yang Zhou; Shang‐Jie Bai; Chen‐Wang Lu; Bin Yang; Jun Wang; Sheng Lian; Zheng‐Ran Jian; Er‐Long Wang; Gao‐Xue Wang; Tao Liu (Journal of Fish Diseases, 2023)
Granulomatous diseases caused by Nocardia seriously endanger the health of cultured fish. These bacteria are widely distributed, but prevention and treatment methods are very limited. Chronic granulomatous inflammation is an important pathological feature of Nocardia infection. However, the molecular mechanisms of granuloma formation and chronic inflammation are still unclear. Constructing a granuloma infection model of Nocardia is the key to exploring the pathogenesis of the disease. In this study, we established a granuloma model in the liver of largemouth bass ( Micropterus salmoides ) and assessed the infection process of Nocardia seriolae at different concentrations by analysing relevant pathological features. By measuring the expression of pro‐inflammatory cytokines, transcription factors and a pyroptosis‐related protein, we revealed the close relationship between pyroptosis and chronic inflammation of granulomas. We further analysed the immunofluorescence results and the expression of pyroptosis‐related protein of macrophage infected by N. seriolae and found that N. seriolae infection induced macrophage pyroptosis in vitro. These results were proved by flow cytometry analysis of infection experiment in vivo. Our results indicated that the pyroptosis effect may be the key to inducing chronic inflammation in the fish liver and further mediating granuloma formation. In this study, we explored the molecular mechanism underlying chronic inflammation of granulomas and developed research ideas for understanding the occurrence and development of granulomatous diseases in fish.

Self-Double-Emulsifying Drug Delivery System Enteric-Coated Capsules: A Novel Approach to Improve Oral Bioavailability and Anti-inflammatory Activity of Panax notoginseng Saponins - Yaru Wang; Yunxia Shang; Fengyu Tang; Kun Qiu; Xiaohui Wei; Zhengtao Wang (AAPS PharmSciTech, 2023)

The impacts of extreme marine weather and marine scientific and technological innovation on marine economic development: Evidence form China’s coastal regions - Chenggang Li; Hongye Jia; Yikang Wan; Yongxiang Hu; Bingying Zeng; Wanyue Zhang; Xiangbo Fan; Tao Lin; Guofei Shang; Weiyan Wang (Frontiers in Marine Science, 2023)
The extreme marine weather is a very vital factor and has important implications for of marine economic development. However, there is a lack of systematic and quantitative analyses of its impact on the marine economic development. Here, we study the impacts of extreme marine weather on marine economic development of 11 coastal regions in China, using the dynamic panel model. We found that extreme marine weather exerts a significant negative impact on the marine economic development. The marine scientific and technological innovation promotes marine economic development in a prominent manner. The marine scientific and technological innovation slows down the unfavorable impact of extreme marine weather on the marine economy. After considering different industries for marine economic development and heterogeneity, we found that extreme marine weather and marine scientific and technological innovation have a great impact on marine economic development in the tertiary industry and the areas with high development concerning marine economy level, while deliver a small impact on the marine economic development in the primary industry and the areas low development level. This paper empirically studies the relationship between the two variables of marine extreme weather and marine science and technology innovation and its impact on marine economic development, enriches the research perspective of extreme weather on marine economic development, and provides new method evidence for improving the level of marine scientific and technological innovation and promoting the development of marine economy.

Association between cardiovascular health metrics and retinal ageing - Ruiye Chen; Jinyi Xu; Xianwen Shang; Gabriella Bulloch; Mingguang He; Wei Wang; Zhuoting Zhu (GeroScience, 2023)
The study aims to investigate associations between cardiovascular health (CVH) metrics and retinal ageing indexed by retinal age gap. A total of 26,354 participants from the UK Biobank study with available CVH metrics and qualified retinal imaging were included in the present analysis. CVH included 7 metrics (smoking, physical activity, diet, body mass index [BMI], total cholesterol, blood pressure [BP], blood glucose). These were summarized to classify the overall CVH as poor (0–7), intermediate (8–10) or ideal (11–14). Retinal age gap was defined as the difference between biological age predicted by fundus images and chronological age. Accelerated and non-accelerated retinal ageing was defined if retinal age gap was in the upper or lower 50% quantiles of the study population, respectively. Linear and logistic regression models estimated the association of overall CVH and each metric of CVH with retinal age gap respectively. Our results showed that in the fully adjusted model, each one-unit score increase in overall CVH was negatively associated with retinal age gap (odds ratio [OR] = 0.89, 95% confidence interval [CI]: 0.87-0.92, P < 0.001). Compared with poor overall CVH, people with intermediate and ideal overall CVH had significantly lower retinal age gap (OR = 0.76, 95%CI: 0.67–0.85, P < 0.001; OR = 0.58, 95%CI: 0.50–0.67, P < 0.001). Similar associations were found between overall CVH and accelerated retinal ageing. CVH metrics including smoking, BMI, BP, and blood glucose were also significantly associated with higher retinal age gap. Taken together, we found a significant and inverse dose-response association between CVH metrics and retinal age gap, indicating that maintaining healthy metrics especially smoking, BMI, BP, and blood glucose may be crucial to slow down biological ageing.

Highly sensitive detection of white spot syndrome virus with an RPA-CRISPR combined one-pot method - Pei Wang; Lihong Yang; Bo Guo; Zhaoyang Shang; Song Gao; Xing Zhang (Aquaculture, 2023)

CRISPR/Cas9-mediated precision integration of fat-1 and fat-2 from Caenorhabditis elegans at long repeated sequence in channel catfish (Ictalurus punctatus) and the impact on n-3 fatty acid level - De Xing; Mei Shang; Shangjia Li; Wenwen Wang; Tasnuba Hasin; Darshika Hettiarachchi; Veronica Alston; Logan Bern; Zhenkui Qin; Baofeng Su; Rex Dunham (Aquaculture, 2023)

UV/chlorine and chlorination of effluent organic matter fractions: Tracing nitrogenous DBPs using FT-ICR mass spectrometry - Yuru Wang; Yingying Xiang; Mauricius Marques dos Santos; Gaoling Wei; Bin Jiang; Shane Snyder; Chii Shang; Jean-Philippe Croué (Water Research, 2023)

Environmental factors driving the formation of water-soluble organic aerosols: A comparative study under contrasting atmospheric conditions - Yujue Wang; Zeyu Feng; Qi Yuan; Dongjie Shang; Yuan Fang; Song Guo; Zhijun Wu; Chao Zhang; Yang Gao; Xiaohong Yao; Huiwang Gao; Min Hu (Science of The Total Environment, 2023)

Urinary concentrations of organophosphate esters in relation to semen quality: A cross-sectional study - Yaping Li; Dan Luo; Xiaoya Zhao; Han Wang; Zhiyi Zheng; Jun Liu; Chong Liu; Hui Wang; Yingjun Chen; Yinzhu Shang; Wenqing Lu; Surong Mei; et al. (Science of The Total Environment, 2023)

New reduction of old glass astronomical plates of Pallas and Vesta in 1956–1994 based on Gaia DR3 catalogue - L.L. Wang; Y. Yu; Q.X. Yuldoshev; Sh.A. Ehgamberdiev; Z.J. Shang; M.T. Yang; J. Yang; S. Dong; D.M. Da; Z.H. Tang; J.H. Zhao; M.M. Muminov (Planetary and Space Science, 2023)

Principle and control strategy of a novel wave-to-wire system embedded ocean energy storage optimization - Ganzhou Yao; Zirong Luo; Zhongyue Lu; Mangkuan Wang; Jianzhong Shang; Josep M. Guerrerob (Ocean Engineering, 2023)

Early Tremadocian (Ordovician) graptolite biostratigraphy and correlation - Jörg Maletz; Xiao-Feng Wang; Chuan-Shang Wang (Palaeoworld, 2023)

Rhizobacteria helps to explain the enhanced efficiency of phytoextraction strengthened by Streptomyces pactum - Linlin Wang; Nina Wang; Di Guo; Zhengzheng Shang; Yiying Zhang; Song Liu; Yuheng Wang (Journal of Environmental Sciences, 2023)

Regulating potassium state to enable the high performance of Co3O4 for catalytic oxidation - Li Wang; Wende Hu; Zhou Shang; Xiaoming Cao; Yun Guo; Jiayi Li; Qiyuan Gu; Ke Li; Xiaobo Li (Fuel, 2023)

Improvement of solubility, gelation and emulsifying properties of myofibrillar protein from mantis shrimp (Oratosquilla oratoria) by phosphorylation modification under low ionic strength of KCl - Beibei Jia; Jinyu Chen; Gongru Yang; Jingyi Bi; Jinting Guo; Kun Shang; Siyang Wang; Zijian Wu; Kunsheng Zhang (Food Chemistry, 2023)

Synthesis of γ-cyclodextrin metal-organic framework as ethylene absorber for improving postharvest quality of kiwi fruit - Suqing Li; Xinxin Hu; Shuyao Chen; Xiao Wang; Hengshuai Shang; Yuan Zhou; Jianwu Dai; Lan Xiao; Wen Qin; Yaowen Liu (Food Hydrocolloids, 2023)

A DNA tweezers fluorescence aptasensor based on split aptamer -assisted magnetic nanoparticles for the detection of enrofloxacin in food - Zixuan Shang; Pengfei Ma; Imran Mahmood Khan; Yin Zhang; Zhouping Wang (Food Control, 2023)

Associations between exposure to phthalates and subclinical hypothyroidism in pregnant women during early pregnancy: A pilot case-control study in China - Zheng Yang; Danping Shan; Tao Zhang; Ludi Li; Shuo Wang; Ruihu Du; Yingzi Li; Shaowei Wu; Lei Jin; Yi Zhao; Xuejun Shang; Qi Wang (Environmental Pollution, 2023)

Highly active and durable nitrogen-doped CoP/CeO2 nanowire heterostructures for overall water splitting - Lili Zhang; Yuanting Lei; Wenjing Xu; Dan Wang; Yafei Zhao; Wenxing Chen; Xu Xiang; Xinchang Pang; Bing Zhang; Huishan Shang (Chemical Engineering Journal, 2023)

Experimental and kinetic model evaluation of HONO production from surface nitrate photolysis - Youfeng Wang; Jianshu Wang; Yaru Wang; Yingjie Zhang; Robert Woodward-Massey; Chong Zhang; Yu Kuang; Jiali Zhu; Jing Shang; Xin Li; Limin Zeng; Weili Lin; et al. (Atmospheric Environment, 2023)

Genomic architecture of leaf senescence in sorghum (Sorghum bicolor) - Lidong Wang; Li Shang; Xiaoyuan Wu; Huaiqing Hao; Hai-Chun Jing (Theoretical and Applied Genetics, 2023)

Adenosine A2A receptor controls the gateway of the choroid plexus - Mengqian Ye; Mengru Wang; Yijia Feng; Huiping Shang; Yuwen Yang; Lanxin Hu; Muran Wang; Serhii Vakal; Xiangxiang Lin; Jiangfan Chen; Wu Zheng (Purinergic Signalling, 2023)

Divergent evolution of mitogenomics in Cetartiodactyla niche adaptation - Xibao Wang; Yongquan Shang; Xiaoyang Wu; Qinguo Wei; Shengyang Zhou; Guolei Sun; Xuesong Mei; Yuehuan Dong; Weilai Sha; Honghai Zhang (Organisms Diversity & Evolution, 2023)

Sex difference on fibroblast growth factors (FGFs) expression in skin and wound of streptozotocin(STZ)-induced type 1 diabetic mice - Nuo-qi Wang; Wei-hua Jia; Lin Yin; Na Li; Mei-dai Liang; Jia-min Shang; Bi-yu Hou; Li Zhang; Gui-fen Qiang; Guan-hua Du; Xiu-ying Yang (Molecular Biology Reports, 2023)

Effects of lead pollution on soil microbial community diversity and biomass and on invertase activity - Xin Sun; Mingjie Sun; Ying Chao; Xiaoyang Shang; Hui Wang; Hong Pan; Quangang Yang; Yanhong Lou; Yuping Zhuge (Soil Ecology Letters, 2023)

Green rust sulfate transformation under the impact of Cr(VI) and oxalic acid: Mechanism and environmental significance - Fang Wang; Pingxiao Wu; Meiqing Chen; Jiayan Wu; Leiye Sun; Zhongbo Shang; Nengwu Zhu (Applied Clay Science, 2023)

Risk assessment and environmental determinants of urinary phthalate metabolites in pregnant women in Southwest China - Nian Wu; Lin Tao; Kunming Tian; Xia Wang; Caidie He; Songlin An; Yingkuan Tian; Xiang Liu; Wei Chen; Haonan Zhang; Pei Xu; Dengqing Liao; et al. (Environmental Science and Pollution Research, 2023)

Integrating oculomics with genomics reveals imaging biomarkers for preventive and personalized prediction of arterial aneurysms - Yu Huang; Cong Li; Danli Shi; Huan Wang; Xianwen Shang; Wei Wang; Xueli Zhang; Xiayin Zhang; Yijun Hu; Shulin Tang; Shunming Liu; Songyuan Luo; et al. (EPMA Journal, 2023)
Objective Arterial aneurysms are life-threatening but usually asymptomatic before requiring hospitalization. Oculomics of retinal vascular features (RVFs) extracted from retinal fundus images can reflect systemic vascular properties and therefore were hypothesized to provide valuable information on detecting the risk of aneurysms. By integrating oculomics with genomics, this study aimed to (i) identify predictive RVFs as imaging biomarkers for aneurysms and (ii) evaluate the value of these RVFs in supporting early detection of aneurysms in the context of predictive, preventive and personalized medicine (PPPM). Methods This study involved 51,597 UK Biobank participants who had retinal images available to extract oculomics of RVFs. Phenome-wide association analyses (PheWASs) were conducted to identify RVFs associated with the genetic risks of the main types of aneurysms, including abdominal aortic aneurysm (AAA), thoracic aneurysm (TAA), intracranial aneurysm (ICA) and Marfan syndrome (MFS). An aneurysm-RVF model was then developed to predict future aneurysms. The performance of the model was assessed in both derivation and validation cohorts and was compared with other models employing clinical risk factors. An RVF risk score was derived from our aneurysm-RVF model to identify patients with an increased risk of aneurysms. Results PheWAS identified a total of 32 RVFs that were significantly associated with the genetic risks of aneurysms. Of these, the number of vessels in the optic disc (‘ntreeA’) was associated with both AAA ( β = −0.36, P = 6.75e−10) and ICA ( β = −0.11, P = 5.51e−06). In addition, the mean angles between each artery branch (‘curveangle_mean_a’) were commonly associated with 4 MFS genes ( FBN1 : β = −0.10, P = 1.63e−12; COL16A1 : β = −0.07, P = 3.14e−09; LOC105373592 : β = −0.06, P = 1.89e−05; C8orf81/LOC441376 : β = 0.07, P = 1.02e−05). The developed aneurysm-RVF model showed good discrimination ability in predicting the risks of aneurysms. In the derivation cohort, the C -index of the aneurysm-RVF model was 0.809 [95% CI: 0.780–0.838], which was similar to the clinical risk model (0.806 [0.778–0.834]) but higher than the baseline model (0.739 [0.733–0.746]). Similar performance was observed in the validation cohort, with a C -index of 0.798 (0.727–0.869) for the aneurysm-RVF model, 0.795 (0.718–0.871) for the clinical risk model and 0.719 (0.620–0.816) for the baseline model. An aneurysm risk score was derived from the aneurysm-RVF model for each study participant. The individuals in the upper tertile of the aneurysm risk score had a significantly higher risk of aneurysm compared to those in the lower tertile (hazard ratio = 17.8 [6.5–48.8], P = 1.02e−05). Conclusion We identified a significant association between certain RVFs and the risk of aneurysms and revealed the impressive capability of using RVFs to predict the future risk of aneurysms by a PPPM approach. Our finds have great potential to support not only the predictive diagnosis of aneurysms but also a preventive and more personalized screening plan which may benefit both patients and the healthcare system. Graphical abstract

Sun-induced chlorophyll fluorescence is superior to satellite vegetation indices for predicting summer maize yield under drought conditions - Yu-Qian Wang; Pei Leng; Guo-Fei Shang; Xia Zhang; Zhao-Liang Li (Computers and Electronics in Agriculture, 2023)

Soil copper concentration map in mining area generated from AHSI remote sensing imagery - Weichao Sun; Shuo Liu; Mengfei Wang; Xia Zhang; Kun Shang; Qingjie Liu (Science of The Total Environment, 2023)

Spatial and temporal change determined co-occurrence networks stability and community assembly processes of epipelagic seawater microbial community in the Nordic Sea - Xiaowen Yu; Xueyu Gao; Li Shang; Xiaoyu Wang; Yutian Jiao; Xiao-Hua Zhang; Xiaochong Shi (Science of The Total Environment, 2023)

Ocean acidificationf affects the bioenergetics of marine mussels as revealed by high-coverage quantitative metabolomics - Yueyong Shang; Xinghuo Wang; Yuntian Shi; Wei Huang; Inna Sokolova; Xueqing Chang; Deying Chen; Shuaishuai Wei; Fahim Ullah Khan; Menghong Hu; Youji Wang (Science of The Total Environment, 2023)

Effect of grazing exclusion on emission of greenhouse gases and soil organic carbon turnover in alpine shrub meadow - Zhiqiang Dang; Na Guo; Shanshan Li; A. Allan Degen; Jingjuan Cao; Bin Deng; Aidong Wang; Zhen Peng; Luming Ding; Ruijun Long; Zhanhuan Shang (Science of The Total Environment, 2023)

Determining the mechanism of the root effect on soil detachment under mixed modes of different plant species using flume simulation - Jianye Ma; Bo Ma; Zhanbin Li; Chenguang Wang; Yongze Shang; Zeyu Zhang (Science of The Total Environment, 2023)

Ca alleviated Cd-induced toxicity in Salix matsudana by affecting Cd absorption, translocation, subcellular distribution, and chemical forms - Jinhua Zou; Yuerui Wang; Siyuan Wang; Xiaoshuo Shang (Journal of Plant Physiology, 2023)

Sediment source determination for a series of connected check dams in an agricultural catchment in the Chinese Mollisol region - Jiaqiong Zhang; Yueting Shang; Ruru Bai; Minfeng Yin; Xiaotong Wang; Fenli Zheng (Journal of Hydrology, 2023)

A framework for the sustainable risk assessment of in-river hydraulic structures: A case study of Taiwan’s Daan River - Dong-Sin Shih; Shang-Shu Shih; Shaohua Marko Hsu; Shih-Yuan Lin; Yiching Lin; Chi-Tung Hung; Kai Wang (Journal of Hydrology, 2023)

Biophysical controls of dew formation in a typical cropland and its relationship to drought in the North China Plain - Xiaonan Guo; Yucui Zhang; Tianshan Zha; Guofei Shang; Chuan Jin; Yanfang Wang; Huicai Yang (Journal of Hydrology, 2023)

Docosahexaenoic acid inhibits pheromone-responsive-plasmid-mediated conjugative transfer of antibiotic resistance genes in Enterococcus faecalis - Hongrui Zhou; Xiaobo Yang; Yutong Yang; Yuanyuan Niu; Jing Li; Xinyue Fu; Shang Wang; Bin Xue; Chenyu Li; Chen Zhao; Xi Zhang; Zhiqiang Shen; et al. (Journal of Hazardous Materials, 2023)

Low energy-consumed process of integrated anammox and in-situ fermentation-based denitrification for ultra-efficient nitrogen removal from mainstream domestic sewage - Xiaofei Gong; Liang Zhang; Xiyao Li; Qiong Zhang; Taotao Shang; Jingwen Guo; Chuanxin Wang; Shuying Wang; Yongzhen Peng (Journal of Cleaner Production, 2023)

Peroxymonosulfate activation by nitrogen-doped herb residue biochar for the degradation of tetracycline - Xin Li; Jiayue Wang; Lu Xia; Rujun Cheng; Jianqiu Chen; Jingge Shang (Journal of Environmental Management, 2023)

Near real-time detection and forecasting of within-field phenology of winter wheat and corn using Sentinel-2 time-series data - Chunhua Liao; Jinfei Wang; Bo Shan; Jiali Shang; Taifeng Dong; Yongjun He (ISPRS Journal of Photogrammetry and Remote Sensing, 2023)

Modeling on cryogenic heat exchangers considering variable properties, axial heat conduction and viscous heating - Xue-shuo Shang; Zhuo Miao; Huai-qing Cao; Rui Wang; Wei Shao; Zheng Cui (International Journal of Refrigeration, 2023)

Highly dispersed Pd anchored on heteropolyacid modified ZrO2 for high efficient hydrodeoxygenation of lignin-derivatives - Zhuoyou Gao; Zhijun Zhou; Mengying Wang; Ningzhao Shang; Wei Gao; Xiang Cheng; Shutao Gao; Yongjun Gao; Chun Wang (Fuel, 2023)

Low temperature and light combined stress after heading on starch fine structure and physicochemical properties of late-season indica rice with different grain quality in southern China - Xiaofeng Ai; Ruoyu Xiong; Xueming Tan; Haixia Wang; Yongjun Zeng; Shan Huang; Qingyin Shang; Xiaohua Pan; Qinghua Shi; Jun Zhang; Yanhua Zeng (Food Research International, 2023)

Exploring the effect of in vitro digestion on the phenolics and antioxidant activity of Lycium barbarum fruit extract - Yi-Long Ma; Yue Wang; Zheng-Fang Wu; Jie Mei; Wen-Qing Zhang; Ya-Fang Shang; Kiran Thakur; Zhao-Jun Wei (Food Bioscience, 2023)

Using the roughness height and manning number in hydrodynamic model to estimate the impact of intensive oyster aquaculture by floating & fixed rafts on water exchange with an application in Qinzhou Bay, China - Yu Huang; Zenghui Li; Changyang Sun; Zhiwei Feng; Jingyao Li; Danyi Wei; Bin Wang; Shang Jiang; Keliang Chen; Xiang Sun (Ecological Modelling, 2023)

Submesoscale processes observed by high-frequency float in the western South China sea - Haibo Tang; Yeqiang Shu; Dongxiao Wang; Qiang Xie; Zhenqiu Zhang; Jian Li; Xuekun Shang; Oscar Y.W. Zhang; Danian Liu (Deep Sea Research Part I: Oceanographic Research Papers, 2023)

Nanomaterials in agricultural soils: Ecotoxicity and application - Chuanxin Ma; Lanfang Han; Heping Shang; Yi Hao; Xinxin Xu; Jason C. White; Zhenyu Wang; Baoshan Xing (Current Opinion in Environmental Science & Health, 2023)

Multi-condition controlled sedimentary facies modeling based on generative adversarial network - Fei Hu; Chunlei Wu; Jiangwei Shang; Yiming Yan; Leiquan Wang; Huan Zhang (Computers & Geosciences, 2023)

Lead acetate as a superior lead source enables highly efficient and stable all-inorganic lead-tin perovskite solar cells - Yanbo Shang; Xingcheng Li; Weitao Lian; Xiaofen Jiang; Xue Wang; Tao Chen; Zhengguo Xiao; Mingtai Wang; Yalin Lu; Shangfeng Yang (Chemical Engineering Journal, 2023)

Photo/heat/electricity/pressure-driven photonic pattern with multimode memory effect - Yuanyuan Shang; Junchao Liu; Bo Guan; Jinbao Guo; Tomiki Ikeda; Jingxia Wang; Lei Jiang (Chemical Engineering Journal, 2023)

Heterostructured core–shell CoS1.097@ZnIn2S4 nanosheets for enhanced photocatalytic hydrogen evolution under visible light - Xuejiao Feng; Huishan Shang; Jinling Zhou; Xuke Ma; Xiangyang Gao; Dan Wang; Bing Zhang; Yafei Zhao (Chemical Engineering Journal, 2023)

High sensitivity tactile sensors with ultrabroad linear range based on gradient hybrid structure for gesture recognition and precise grasping - Shuai Wang; Zaoxu Zhang; Bin Yang; Xin Zhang; Huiming Shang; Li Jiang; Hong Liu; Jia Zhang; PingAn Hu (Chemical Engineering Journal, 2023)

Vertical distribution of PbI2 nanosheets for robust air-processed perovskite solar cells - Zhenkun Zhu; Jitao Shang; Guanqi Tang; Zhen Wang; Xiaxia Cui; Junjun Jin; Yuan Zhou; Xiang Zhang; Dan Zhang; Xiaowei Liu; Qidong Tai (Chemical Engineering Journal, 2023)

Heightening effects of cysteine on degradation of trichloroethylene in Fe3+/SPC process - Usman Farooq; Fei Wang; Jingyi Shang; Malik Zeeshan Shahid; Waseem Akram; Xinhai Wang (Chemical Engineering Journal, 2023)

Water-borne, durable and multicolor silicon nanoparticles/sodium alginate inks for anticounterfeiting applications - Jing Xie; Xuening Sun; Xin Guo; Xiang Feng; Kailong Chen; Xin Shu; Chenhao Wang; Wei Sun; Yang Liu; Bin Shang; Xin Liu; Dongzhi Chen; et al. (Carbohydrate Polymers, 2023)

Rice straw biochar alters inorganic nitrogen availability in paddy soil mainly through abiotic processes - Rujie Lv; Yong Wang; Qiuju Wang; Yangping Wen; Qingyin Shang (Journal of Soils and Sediments, 2023)

Effects of light quality on growth, photosynthetic characteristics, and endogenous hormones in in vitro-cultured Lilium plantlets - Wenqian Shang; Yinglong Song; Chunling Zhang; Liyun Shi; Yuxiao Shen; Xiaojuan Li; Zheng Wang; Songlin He (Horticulture, Environment, and Biotechnology, 2023)

Characterization of a novel Escherichia coli recombineering selection/counterselection cassette - Guoyi Zhang; Qiong Zhang; Junyu Wang; Jiao Zhang; Guangdong Shang (Biotechnology Letters, 2023)

Coordinated development of land multi-function space: An analytical framework for matching the supply of resources and environment with the use of land space for ecological protection, agricultural production and urban construction - Yanbo Qu; Yanjun Zhang; Shilei Wang; Ran Shang; Haining Zong; Lingyun Zhan (Journal of Geographical Sciences, 2023)

Seasonal spermatogenesis, epididymal storage, and creatine kinase expression in Pelodiscus sinensis - Yu-Fei Yang; Jia-Hao Wu; Run-Lan Lin; Shang-Jun Yin; Guo-Ying Qian; Wei Wang; Yong-Doo Park (Animal Reproduction Science, 2023)

Contribution of electrolyte in parametric optimization of perfluorooctanoic acid during electro-oxidation: Active chlorinated and sulfonated by-products formation and distribution - Qicheng Qiao; Seema Singh; Ritesh Patidar; Lizhang Wang; Ya Li; Jian Shi; Vimal Chandra Srivastava; Shang-Lien Lo (Chemosphere, 2023)

Efficient phosphate elimination from aqueous media by La/Fe bimetallic modified bentonite: Adsorption behavior and inner mechanism - Bin Wang; Heng Zhang; Xiaoling Hu; Rongfan Chen; Wenbin Guo; Hongyu Wang; Chunyan Wang; Jianping Yuan; Ling Chen; Shang Xia (Chemosphere, 2023)

Ecotoxicity of parathion during its dissipation mirrored by soil enzyme activity, microbial biomass and basal respiration - Kelin Tao; Haixia Tian; Ziquan Wang; Xiaofu Shang; Jing Fan; Mallavarapu Megharaj; Jianli Ma; Hanzhong Jia; Wenxiang He (Chemosphere, 2023)

Thyroid hormone activities of neutral and anionic hydroxylated polybrominated diphenyl ethers to thyroid receptor β: A molecular dynamics study - Qi Xu; Jian Li; Shang Cao; Guangcai Ma; Xianglong Zhao; Qiuyi Wang; Xiaoxuan Wei; Haiying Yu; Zhiguo Wang (Chemosphere, 2023)

Age and causes of the Yellow River dissecting the Zoige Basin in the eastern Tibetan Plateau, China - Na Wang; Xiaochun Zha; Chunchang Huang; Yuzhu Zhang; Yali Zhou; Jiangli Pang; Xiaoqing Rong; Ruiqing Shang; Jianan Chai (Science of The Total Environment, 2023)

Scalable fabrication of efficient and recycling wood residue-derived sponge for crude oil adsorption - Ying Shang; Runan Gao; Yaoxing Wang; Xiaofei Dong; Xueqi Li; Jianfu Tang; Xuan Wang; Jiuqing Liu; Yanjun Xie; Jian Li; Wentao Gan (Journal of Hazardous Materials, 2023)

Single atom Mn anchored on N-doped porous carbon derived from spirulina for catalyzed peroxymonosulfate to degradation of emerging organic pollutants - Chengyun Zhou; Yuntao Liang; Wu Xia; Eydhah Almatrafi; Biao Song; Ziwei Wang; Yuxi Zeng; Yang Yang; Yanan Shang; Chaohai Wang; Guangming Zeng (Journal of Hazardous Materials, 2023)

Dissolved polycyclic aromatic hydrocarbons (PAHs-d) in response to hydrology variation and anthropogenic activities in the Yangtze River, China - Nana Shang; Chuan Wang; Jijie Kong; Heyu Yu; Jianhong Li; Weiyue Hao; Tao Huang; Hao Yang; Huan He; Changchun Huang (Journal of Environmental Management, 2023)

A six-year record of greenhouse gas emissions in different growth stages of summer maize influenced by irrigation and nitrogen management - Zhenzhen Gao; Jiongchao Zhao; Chong Wang; Yixuan Wang; Mengfei Shang; Zhipeng Zhang; Fu Chen; Qingquan Chu (Field Crops Research, 2023)

The roles of Fe oxyhydroxide coating and chemical aging in pyrogenic carbon nanoparticle transport in unsaturated porous media - Kang Zhao; Xiang Wang; Baoguo Li; Jianying Shang (Environmental Pollution, 2023)

Impacts of dust events on chemical characterization and associated source contributions of atmospheric particulate matter in northern China - Ruiyu Li; Miao Zhang; Yuming Du; Guixia Wang; Chunlin Shang; Yao Liu; Min Zhang; Qingpeng Meng; Min Cui; Caiqing Yan (Environmental Pollution, 2023)

A novel slag composite for the adsorption of heavy metals: Preparation, characterization and mechanisms - Mengyu Ma; Ting Wang; Xuan Ke; Yanchang Liu; Yunjie Song; Xiaojie Shang; Jia Li; Qingwen Han (Environmental Research, 2023)

Stiffness analysis of shear stud group connectors in precast concrete deck - Jie Yu; Yu-Hang Wang; Jie-Peng Liu; Y. Frank Chen; Shang-Ling Xue; Zhou Yu (Engineering Structures, 2023)

Construction of surface oxygen vacancies by bimetallic doping combined with ellagic acid modification to enhance the photocatalytic degradation of ethinyl estradiol by TiO2 - Yunning Chen; Renquan Guan; Xueying Cheng; Jie Zhao; Zhengkai Wu; Yan Wang; Qingkun Shang; Yingnan Sun (Chemical Engineering Journal, 2023)

Precision loading of Pd on Cu species for highly selective CO2 photoreduction to methanol - Xiaofang Shang; Guojun Li; Ruonan Wang; Tian Xie; Jie Ding; Qin Zhong (Chemical Engineering Journal, 2023)

Core-shell catalysts for the elimination of organic contaminants in aqueous solution: A review - Yuerong Zhou; Yunhe Li; Yilong Hou; Ce Wang; Ying Yang; Jiangwei Shang; Xiuwen Cheng (Chemical Engineering Journal, 2023)

Building hydrogen bonds on graphitic carbon nitride for dramatically enhanced ammonia synthesis - Jiayin Shang; Kai Zhang; Qiguan Wang; Siqin Jia; Sumin Wang; Zhiruo Shen; Xinhai Wang (Chemical Engineering Journal, 2023)

Heterogeneous Two-dimensional lamellar Ti3C2Tx membrane for osmotic power harvesting - Jin Wang; Lu Wang; Ning Shao; Miaolu He; Penghui Shang; Zheng Cui; Sensen Liu; Na Jiang; Xudong Wang; Lei Wang (Chemical Engineering Journal, 2023)

An Agar gel modulation with melamine foam skeleton for flexible Zn-air batteries - Yayu Zuo; Keliang Wang; Manhui Wei; Pengfei Zhang; Siyuan Zhao; Pucheng Pei; Hengwei Wang; Zhuo Chen; Nuo Shang (Chemical Engineering Journal, 2023)

Self-engineered lipid peroxidation nano-amplifier for ferroptosis-driven antitumor therapy - Xinxin Sun; Xiaohong Yang; Jing Wang; Yibo Shang; Pengfei Wang; Xia Sheng; Xiaohong Liu; Jin Sun; Zhonggui He; Shenwu Zhang; Cong Luo (Chemical Engineering Journal, 2023)

Fabrication of multifunctional biomass-based aerogel with 3D hierarchical porous structure from waste reed for the synergetic adsorption of dyes and heavy metal ions - Yanyang Liu; Yangli Ke; Qigao Shang; Xiaofang Yang; Dongsheng Wang; Guiying Liao (Chemical Engineering Journal, 2023)

Single metal atom anchored on porous boron nitride nanosheet for efficient collaborative urea electrosynthesis: A computational study - Lingyi Kong; Dongxu Jiao; Zhongxu Wang; Yuejie Liu; Yongchen Shang; Lichang Yin; Qinghai Cai; Jingxiang Zhao (Chemical Engineering Journal, 2023)

Bioinspired stimuli-responsive spindle-knotted fibers for droplet manipulation - Chaoyu Yang; Yunru Yu; Xiaocheng Wang; Yan Zu; Yuanjin Zhao; Luoran Shang (Chemical Engineering Journal, 2023)

A novel partially carbonized Fe3O4@PANI-p catalyst for tetracycline degradation via peroxymonosulfate activation - Ya-qi Wang; Kun Li; Mao-yuan Shang; Yi-zhen Zhang; Yang Zhang; Bo-lai Li; Yu-jiao Kan; Xiao-qiang Cao; Jian Zhang (Chemical Engineering Journal, 2023)

A self-designed double cross-linked gel for flexible zinc-air battery with extreme conditions adaptability - Pengfei Zhang; Keliang Wang; Yayu Zuo; Manhui Wei; Hengwei Wang; Zhuo Chen; Nuo Shang; Pucheng Pei (Chemical Engineering Journal, 2023)

Preparation of Eu(III) Complexes Containing Maleopimaric Acid Anhydride with Ultra-narrow and Efficient Fluorescence Emission for High Determination on Gallic Acid in Acetonitrile Solution - Quliang Lu; He Liu; Dan Wang; Haibo Zhang; Shibin Shang (Journal of Fluorescence, 2023)

Association between ambient fine particulate matter and adult outpatient visits for rheumatoid arthritis in Beijing, China - Hongbo Chen; Junhui Wu; Mengying Wang; Siyue Wang; Jiating Wang; Huan Yu; Yonghua Hu; Shaomei Shang (International Journal of Biometeorology, 2023)

Research on the Damage-Catastrophe Mechanism of a Tower-Column Unstable Rock Mass with Compressed-Fracture Slumping Mode Under Multi-factor Couplings - Fuchuan Zhou; Hongmei Tang; Song Chen; Linfeng Wang; Chao Shang (Geotechnical and Geological Engineering, 2023)

Sources and transformations of nitrate in Qixiangcuo Lake and its inflow rivers in the northern Tibetan Plateau - Yankai Shang; Fang Wang; Shichun Sun; Boshan Zhu; Pengfei Wang (Environmental Science and Pollution Research, 2023)

Combined application of chemical fertilizer with green manure increased the stabilization of organic carbon in the organo-mineral complexes of paddy soil - Peidong Xu; Ji Wu; Hui Wang; Shan Tang; Wenlong Cheng; Min Li; Rongyan Bu; Shang Han; Mingjian Geng (Environmental Science and Pollution Research, 2023)

NLOS signal detection and correction for smartphone using convolutional neural network and variational mode decomposition in urban environment - Qi Liu; Chengfa Gao; Rui Shang; Zihan Peng; Ruicheng Zhang; Lu Gan; Wang Gao (GPS Solutions, 2023)

Multi-objective parameter optimization of CNC plane milling for sustainable manufacturing - Shun Jia; Shang Wang; Na Zhang; Wei Cai; Yang Liu; Jian Hao; Zhongwei Zhang; Yang Yang; Yang Sui (Environmental Science and Pollution Research, 2022)

Identification of volatile components and growth promoting effects of endophytes of Tinospora capillipes Gagnep. - Qianxi Li; Siyu Wang; Senmiao Chen; Yini Shang; Fangmei Zhou; Jie Yu; Zhishan Ding; Xiaoqing Ye (Journal of Plant Pathology, 2022)

Knockdown of lncRNA-ASLNC12002 alleviates epithelial–mesenchymal transition of type II alveolar epithelial cells in sepsis-induced acute respiratory distress syndrome - Kaixuan Feng; Weifeng Huang; Jiawei Shang; Feng Ping; Qin Tan; Wei Wang; Yingchuan Li; Yongmei Cao (Human Cell, 2022)
Patients with sepsis-induced acute respiratory distress syndrome (ARDS) have higher mortality and poor prognosis than pneumonia-induced ARDS. Pulmonary fibrosis is an irreversible accumulation of connective tissue in the interstitium of the lung and closely associated with the epithelial–mesenchymal transition (EMT) of type II alveolar epithelial cells (AECIIs). Therefore, it is undoubtedly worth studying whether the EMT of AECIIs in sepsis-induced ARDS patients is different from that in patients with pneumonia-induced ARDS in the regulatory mechanism. Here, we will report for the first time that an lncRNA-ASLNC12002 is highly expressed in AECIIs of patients with sepsis-induced pneumonia and promotes EMT in AECIIs. The research results showed that the expression of ASLNC12002 in AECIIs derived from patients with sepsis-induced ARDS is significantly higher than that in normal people and pneumonia-induced ARDS patients. Mechanism research showed that ASLNC12002 can cause the inactivation of the anti-EMT pathway NR2F2/miR128-3p/Snail1 by acting as the sponge of miR128-3p. Functional experiments showed that targeted silencing of ASLNC12002 could effectively inhibit EMT progression in AECIIs of patients with sepsis-induced pneumonia by restoring NR2F2/miR128-3p/Snail1 pathway. In a word, our study shows for the first time that the inactivation of NR2F2/miR128-3p/Snail1 pathway caused by the enhanced expression of ASLNC12002 is the direct reason why AECIIs in sepsis-induced ARDS patients are prone to get EMT progress. ASLNC12002 has the potential to become a biological target for the prevention and treatment of pulmonary fibrosis in patients with sepsis-induced ARDS. At the same time, the expectation that ASLNC12002 and its related products may be used as clinical markers for the evaluation of early pulmonary fibrosis in ARDS patients should not be ignored.

A Decision-Support Model for the Generation of Marine Green Tide Disaster Emergency Disposal Plans - Bo Ai; Dan Zhang; Maoxin Jia; Xiaoliang Wang; Jingxia Gao; Lei Wang; Benshuai Li; Hengshuai Shang (Journal of Marine Science and Engineering, 2022)
Green tide is a harmful marine ecological phenomenon caused by the explosive proliferation or high aggregation of some macroalgae, and can cause significant impacts on ecological environments and economies. An effective emergency disposal plan can significantly improve disposal capacity and reduce total costs. At present, the formulation of emergency disposal plans for green tide disasters usually depends on subjective experience. The primary purpose of this paper is to develop a decision-support model based on intelligent algorithms to optimize the type and number of resources when making emergency disposal plans so as to improve the reliability and efficiency of decision making. In order to simulate the decision-making environment more realistically, the drift motion of green tide is considered in this model. Two intelligent algorithms, the Genetic Algorithm (GA) and the improved Non-Dominated Sorting Genetic Algorithm-II (IMNSGA-II), are used to solve the model and find appropriate emergency disposal plans. Finally, a case study on the green tide disaster that occurred in Qingdao (Yellow Sea, China) is conducted to demonstrate the effectiveness and optimization of the proposed model. Through the model proposed in this paper, the overall response time and cost can be reduced in green tide disaster emergency operations.

Combined Static–Dynamic Loading Effect on the Wave Transmission Properties in Rock Masses with Macrojoint and Microdefect - M. Wang; J. L. Shang; L. F. Fan (Rock Mechanics and Rock Engineering, 2022)

Effect of Iron Plaque on Gaseous Elemental Mercury Uptake, Translocation, and Volatilization by Paddy Rice - Yanlin Wang; Shuai Shang; Xin Li; Sinan Chen; Ran Li; Weiwei Jia; Hong Deng (Bulletin of Environmental Contamination and Toxicology, 2022)

Immunogenicity and protective efficacy of a DNA vaccine inducing optimal expression of the SARS-CoV-2 S gene in hACE2 mice - Zhuo-xin Li; Sheng Feng; He Zhang; Xin-yu Zhuang; Chao Shang; Shi-yu Sun; Ji-cheng Han; Yu-biao Xie; Jin-yong Zhang; Wei Wang; Cheng-hui Li; Guan-yu Zhao; et al. (Archives of Virology, 2022)

Risk Assessment of Wave Over-Topping Based on Smoothed-Particle Hydrodynamics Method - Lei Wang; Li Zhang; Yanshuang Xie; Yaozhao Zhong; Yuan Sun; Zhiyuan Wang; Feng Zhang; Shaoping Shang (Journal of Marine Science and Engineering, 2022)
FETSWCM-SWAN and DualSPHysics models are used to study the storm flooding process of Dazuo Seawall in Quanzhou city, Fujian province, China. Firstly, a storm over-topping assessment method is proposed. Secondly, the water level and storm wave at the foot of Dazuo Seawall calculated by FETSWCM-SWAN during the process of Typhoon Usagi in 2013 and Typhoon Dujuan in 2015. Finally, the typical wave and storm run-up processes at Dazuo Seawall are modeled by DualSPHysics. The results show that the typical wave run-up of Dazuo Seawall is less than 2 m, but the storm wave run-up can reach 6.85 m under Usagi. The risk is high when high tide is encountered. The risk of storm flooding is classified into three grades. This risk assessment could provide decision-making support to government departments in warning against storm flooding threats.

Structural Prediction Analysis of Cross-Sea Cable-Stayed Bridges during Operation Based on Existing Traffic Volumes - Song Xin; Ziyi Wang; Huifeng Su; Liuhong Shang; Kun Meng; Xiang Wang; Zhiyong Zhou; Zhongxiao Zhao; Pengfei Zhang (Journal of Marine Science and Engineering, 2022)
In order to study the safety state of the structure of a cross-sea cable-stayed bridge during its operation period, this paper proposes a combined long-term traffic prediction model based on the XGBoost (eXtreme Gradient Boosting) model and LSTM (Long Short Term Memory) model in the context of a cross-sea cable-stayed bridge in Qingdao. XGBoost is an optimized distributed gradient enhancement library. LSTM is a neural network for processing long sequence data. The LSTM model and the XGBoost model were first built separately, and then a genetic algorithm was used to select the optimal weight parameters to combine the two models for prediction. Based on the traffic prediction results of the combined LSTM-XGBoost model, a finite element model was established using numerical analysis. The effect of different traffic volumes on the deflection and stresses in the span of the main beam and the stresses in the diagonal cables was analyzed using the time course analysis method. From the point of view of structural safety, the maximum of future traffic limits and more reasonable average traffic speeds are given to provide a basis for the later management of the bridge.

Improving the efficiency of prime editing with epegRNAs and high-temperature treatment in rice - Jinpeng Zou; Xiangbing Meng; Qing Liu; Meiqi Shang; Kejian Wang; Jiayang Li; Hong Yu; Chun Wang (Science China Life Sciences, 2022)

Reviving and characterizing three species of dinoflagellate cysts dormant for about 70 years in the East China Sea: Biecheleria brevisulcata, Biecheleriopsis adriatica, and Scrippsiella donghaienis - Zhangxi Hu; Xiaoying Song; Jinxiu Wang; Zhe Tao; Yuanyuan Sun; Yuhang Li; Yuyang Liu; Yunyan Deng; Lixia Shang; Zhaoyang Chai; Yingzhong Tang (Journal of Oceanology and Limnology, 2022)

Study on Rationality of Large Diameter Pressure Relief Drilling Parameters Under Different Coal Seam Conditions - Zhigang Liu; Zhikang Wang; Ruoxiang Zhang; Xikui Sun; Shang Wenzheng (Geotechnical and Geological Engineering, 2022)

Spatial–temporal variations and pollution risks of mercury in water and sediments of urban lakes in Guangzhou City, South China - Xiaojun Wang; Wei Zhong; Bingxiang Wang; Mingying Quan; Tianhang Li; Durui Lin; Shengtan Shang; Chan Zhu; Churan Zhang; Yiling Liao (Environmental Science and Pollution Research, 2022)

Host and Environmental Sensing by Entomopathogenic Fungi to Infect Hosts - Junmei Shang; Guirong Tang; Mengting Lu; Chengshu Wang (Current Clinical Microbiology Reports, 2022)

Remote sensing retrieval of inland water quality parameters using Sentinel-2 and multiple machine learning algorithms - Shang Tian; Hongwei Guo; Wang Xu; Xiaotong Zhu; Bo Wang; Qinghuai Zeng; Youquan Mai; Jinhui Jeanne Huang (Environmental Science and Pollution Research, 2022)

New polymerized sesquiterpene lactones from Ainsliaea yunnanensis and their activity evaluation - Na Zhou; Jin-Jie Li; Yong Wu; Ze-Yu Wang; Xin Wang; Zhi-Peng Yin; Xin-Peng Wang; Yi-Ran Liu; Xiao-Ya Shang (Natural Product Research, 2022)

Application of Three-Dimensional Explicit Discontinuous Deformation Analysis on Wave Propagation in Rock Masses Using Three Viscous Boundaries with the Remedy for Artificial Joints - Xi Wang; Wei Wu; Hehua Zhu; Hong Zhang; Jeen-Shang Lin (Rock Mechanics and Rock Engineering, 2022)

Involvement of Mitophagy in Primary Cultured Rat Neurons Treated with Nanoalumina - Lan Zhang; Jinjin Zhao; Xinyue Guo; Cuicui Ge; Lijun Chang; Xiaocheng Gao; Tao Huang; Yanhong Wang; Nan Shang; Qiao Niu; Qinli Zhang (Neurotoxicity Research, 2022)

Pathogenesis-related protein-4 (PR-4) gene family in Qingke (Hordeum vulgare L. var. nudum): genome-wide identification, structural analysis and expression profile under stresses - Le Wang; Hailing Lu; Jiarong Zhan; Qianhan Shang; Li Wang; Wei Yin; Wei Sa; Jian Liang (Molecular Biology Reports, 2022)

Screening of microRNA and mRNA related to secondary hair follicle morphogenesis and development and functional analysis in cashmere goats - Fangzheng Shang; Yu Wang; Rong Ma; Youjun Rong; Min Wang; Zhihong Wu; Erhan Hai; Jianfeng Pan; Lili Liang; Zhiying Wang; Ruijun Wang; Rui Su; et al. (Functional & Integrative Genomics, 2022)
microRNA (miRNA) is a type of endogenous short-chain non-coding RNA with regulatory function found in eukaryotes, which is involved in the regulation of a variety of cellular and biological processes. However, the research on the development of cashmere goat secondary hair follicles is still relatively scarce. In this study, small RNA libraries and mRNA libraries of 45 days, 55 days, 65 days, and 75 days of fetal skin of cashmere goats were constructed, and the constructed libraries were sequenced using Illumina Hiseq4000, and the expression profiles of miRNA and mRNA in cashmere goat fetal skin were obtained. The differentially expressed miRNAs and mRNAs in six control groups were identified and the qRT-PCR experiment shows that the sequencing results are accurate. Sixty-six miRNAs related to secondary hair follicle development were screened, and used TargetScan and miRanda to predict 33 highly expressed miRNA target genes. At the same time, 664 mRNAs related to the development of secondary hair follicles were screened, and GO enrichment and KEGG pathway analysis were performed. It was found that some miRNA target genes were consistent with the screening results of mRNAs related to secondary hair follicle development and were enriched in Notch signaling pathway, TGF-β signaling pathway. Therefore, miR-145-5p-DLL4, miR-27b-3p-DLL4, miR-30e-5p-DLL4, miR-193b-3p-TGF-β1, miR-181b-5p-NOTCH2, and miR-103-3p-NOTCH2 regulatory network related to the development of secondary hair follicles were constructed and the results of dual-luciferase reporter gene assay indicated that there is a targeted relationship between chi-miR-30e-5p and DLL4, which will provide a basis for molecular mechanism of miRNA-mRNA in the development of the hair follicles in cashmere goats.

Identification and characterization of resistance to soybean aphid in 22 highly resistant soybean accessions - Jing Yang; Guangyang Liu; Xiujun Wang; Yang Su; Henan Diao; Dan Sun; Jiawei Shang; Yinghui Li; Yong Guo; Lijuan Qiu (Euphytica, 2022)

Cumulative risk assessment of dietary exposure to phthalates in pregnant women in Beijing, China - Danping Shan; Tao Zhang; Ludi Li; Yuqing Sun; Di Wang; Yingzi Li; Zheng Yang; Kanglong Cui; Shaowei Wu; Lei Jin; Bo Hong; Xuejun Shang; et al. (Environmental Science and Pollution Research, 2022)

Mechanical failure analysis during direct shear of double-joint rock mass - Feng Jiang; Gang Wang; Peng He; Bin Hou; Shu-bo Zhang; Shang-qu Sun; Cheng-cheng Zheng; Yue Wu (Bulletin of Engineering Geology and the Environment, 2022)

A novel compatible truss-arch model to predict shear strength of concrete-encased steel composite columns - Yicong Xue; Chongxin Shang; Yong Yang; Yunlong Yu; Zhanjie Wang (Bulletin of Earthquake Engineering, 2022)

Adsorption properties and mechanism research of phosphorus with different molecular structures from aqueous solutions by La-modified biochar - Ming-yao Yuan; Shang-kai Qiu; Meng-meng Li; Yuan Li; Ji-Xiu Wang; Yuan Luo; Ke-qiang Zhang; Feng Wang (Environmental Science and Pollution Research, 2022)

Combined effects of nanoplastics and heavy metal on antioxidant parameters of juvenile tri-spine horseshoe crabs - Iqra Arif; Yueyong Shang; Caoqi Zhang; Fahim Ullah Khan; Kian Ann Tan; Khor Waiho; Youji Wang; Kit Yue Kwan; Menghong Hu (Frontiers in Marine Science, 2022)
Juvenile tri-spine horseshoe crabs ( Tachypleus tridentatus ) were exposed to determine the effects of single and combined stresses of polystyrene nanoplastics (nano-PS) and heavy metal (Cu 2+ ) on antioxidant enzyme parameters. The juveniles were exposed to a 21-day 100-nm polystyrene concentration (10 4 particles l -1 ) and a concentration of Cu 2+ (10 µg l -1 ) followed by a recovery period of 7 days. The in vivo antioxidant activity for whole horseshoe crab was analyzed. The results revealed that all antioxidant parameters, i.e., superoxide dismutase (SOD), catalase (CAT), glutathione (GSH), malondialdehyde (MDA), and lipid peroxidation (LPO), showed both increased and decreased levels in different experimental groups of horseshoe crabs having different experimental conditions compared to the control group at three time points, i.e., on days 7, 14, and 21. Similarly during the recovery period, SOD, CAT, and MDA showed decreased levels in all experimental groups, while GSH and LPO showed increased levels in all experimental groups of horseshoe crabs under the influence of different experimental conditions of nanoplastics and heavy metals compared to the control group on day 28. These results showed that the exposure of nano-PS and Cu 2+ had precise effects on juvenile horseshoe crabs. Integrated biomarker responses showed that nano-PS and Cu 2+ had adverse effects on juvenile horseshoe crabs. By principal component analysis, the potentially toxic effects of nano-PS and Cu 2+ on horseshoe crabs were obtained.

AAQSP increases mapping resolution of stable QTLs through applying NGS-BSA in multiple genetic backgrounds - Xiaoyu Wang; Xiaowei Zhang; Daoran Fan; Juwu Gong; Shaoqi Li; Yujie Gao; Aiying Liu; Linjie Liu; Xiaoying Deng; Yuzhen Shi; Haihong Shang; Yuanming Zhang; et al. (Theoretical and Applied Genetics, 2022)

Mechanisms underlying microRNA-222-3p modulation of methamphetamine-induced conditioned place preference in the nucleus accumbens in mice - Qing Shang; Jing Wang; Zhijia Xi; Baoyao Gao; Hongyan Qian; Ran An; Gaojie Shao; Hua Liu; Tao Li; Xinshe Liu (Psychopharmacology, 2022)

Two-stage hybrid network for segmentation of COVID-19 pneumonia lesions in CT images: a multicenter study - Yaxin Shang; Zechen Wei; Hui Hui; Xiaohu Li; Liang Li; Yongqiang Yu; Ligong Lu; Li Li; Hongjun Li; Qi Yang; Meiyun Wang; Meixiao Zhan; et al. (Medical & Biological Engineering & Computing, 2022)

easyMF: A Web Platform for Matrix Factorization-Based Gene Discovery from Large-scale Transcriptome Data - Wenlong Ma; Siyuan Chen; Yuhong Qi; Minggui Song; Jingjing Zhai; Ting Zhang; Shang Xie; Guifeng Wang; Chuang Ma (Interdisciplinary Sciences: Computational Life Sciences, 2022)

Use of an Effective Variance Chemical Mass Balance Model for Source Apportionment of Metal Elements in a Polluted River - Pei-Yuan Hsieh; Chi-Chang Ho; Gen-Shuh Wang; Yuan-Cheng Hsu; Di-Wen Wang; Yu-Man Shang; Chang-Fu Wu (Environmental Processes, 2022)

Dynamic Characteristics of Water Inflow from a Coal Mine’s Roof Aquifer - Zhenfang Zhou; Shuning Dong; Hao Wang; Dewu Jin; Xiaodong Wang; Yang Dong; Shi Chen; Debin Li; Xingling Dong; Hongbo Shang (Mine Water and the Environment, 2022)

Design and Performance Analysis of a Staggered Vernier Generator for Wave Power Generation - Zhongyue Lu; Guoheng Wu; Mangkuan Wang; Zirong Luo; Jianzhong Shang (Journal of Marine Science and Engineering, 2022)
In this paper, a staggered vernier generator suitable for a counter-rotating self-adaptable WEC is proposed to meet the energy demand of the small-scale engineering equipment in the deep sea. According to the vernier effect of the magnetic gear, the generator modulates the low-order rotating magnetic field generated by the rotation of the low-speed permanent magnet rotor into a high-order magnetic field rotating at a high speed, thereby realizing the acceleration of the generator magnetic field. A staggered structure permanent magnet vernier generator with 18 teeth/28 poles is designed. The main magnetic flux path on the staggered structure in the staggered vernier generator is analyzed, and the air-gap magnetic field distribution of the generator is analyzed with the help of numerical simulation software. The influence of different design parameters on the vernier generator is discussed. The staggered vernier structure can improve the main magnetic flux of the generator, reduce the magnetic flux leakage, and improve the performance of the generator without adding additional structures and materials.

Sugar Product Diversification and Its Opportunities in China - Qi Wang; Cai-Feng Xie; Chang-Rong Shi; Yuan Li; Yu-Hao Shang; Chu-Xuan Hou; Fang-Xue Hang; Jian-Bin Li; Kai Li (Sugar Tech, 2022)

Increased extreme warming events and the differences in the observed hydrothermal responses of the active layer to these events in China’s permafrost regions - Xiaofan Zhu; Tonghua Wu; Jie Ni; Xiaodong Wu; Guojie Hu; Shengjie Wang; Xiangfei Li; Amin Wen; Ren Li; Chengpeng Shang; Xin Ma (Climate Dynamics, 2022)

Overpressure Evolution Recorded in Fluid Inclusions in the Dongpu Depression, Bohai Bay Basin, North China - Xiuyan Liu; Honghan Chen; Xuewei Xiao; Hongan Zhang; Yuwei Wang; Tianwu Xu; Pei Shang; Lingtao Kong (Journal of Earth Science, 2022)

Transcriptome-wide identification of microRNAs in the roots of Pinus massoniana seedlings under Pi stress and Pi recovery - Zijing Zhou; Xianwen Shang; Fuhua Fan; Conghui Wang; Huijuan Qin; Jianhui Tan; Guijie Ding (Acta Physiologiae Plantarum, 2022)

Experimental Study of Ultra-Large Jacket Offshore Wind Turbine under Different Operational States Based on Joint Aero-Hydro-Structural Elastic Similarities - Caiyun Huan; Dongzhe Lu; Shengxiao Zhao; Wenhua Wang; Jin Shang; Xin Li; Qingquan Liu (Frontiers in Marine Science, 2022)
The jacket substructure is generalized for offshore wind farms in the southeastern offshore regions of China. The dynamic characteristics and coupling mechanisms of jacket offshore wind turbines (OWTs) have been extensively investigated using numerical simulation tools. However, limited dynamic model tests have been designed and performed for such types of OWTs. Therefore, the coupling mechanisms of jacket OWTs that are determined using numerical methods require further validation based on experimental tests. Accordingly, an integrated scaled jacket OWT physical test model is designed in this study. It consists of a scaled rotor nacelle assembly (RNA) and support structure model. For the scaled RNA model, a redesigned blade model is adopted to ensure the similarity of the aerodynamic thrust loads without modifying the scaled test winds. Auxiliary scaled drivetrain and blade pitch control system models are designed to simulate the operational states of a practical OWT. The scaled model of the OWT support structure is fabricated on the basis of the joint hydro-structural elastic similarities. A sensor arrangement involving a three-component load cell and acceleration sensors is used to record the OWT thrust loads and model motions, respectively. Then, dynamic model tests under typical scaled wind fields are implemented. Furthermore, the coupling mechanisms of the OWT model under various test winds are investigated using the wavelet packet method, and the influences of inflow winds, operational states, and mechanical strategies are introduced.

Functional Characterization of the Monogalactosyldiacylglycerol Synthase Gene ptMGD2 in the Diatom Phaeodactylum tricornutum - Shuo Shang; Ruyi Liu; Ling Luo; Xitong Li; Shengqiang Zhang; Yi Zhang; Peng Zheng; Zhuo Chen; Baoshan Wang (Frontiers in Marine Science, 2022)
Monogalactosyldiacylglycerol (MGDG) is the most abundant polar lipid in thylakoid membrane, wherein it plays critical roles related to thylakoid membrane assembly and function in diatoms. However, diatom MGDG biosynthesis has not been fully characterized. In this study, we investigated the role of a novel MGDG synthase (ptMGD2), which is one of the key enzymes for MGDG biosynthesis, in the model diatom Phaeodactylum tricornutum . An analysis of subcellular localization demonstrated that the ptMGD2 is mainly localized in plastids. Gene disruption by gene editing of ptMGD2 resulted in delayed growth, decrease in oxygen evolution rate, reduced MGDG and digalactosyldiacylglycerol (using MGDG as the substrate) content as well as lipid remodeling. Considered together, these observations provide novel insights into the importance of ptMGD2 for regulating MGDG biosynthesis and its potential roles in biotechnical application of Phaeodactylum .

Exploration of walnut components and their association with health effects - Zhi-Jing Ni; Yi-Ge Zhang; Sheng-Xiong Chen; Kiran Thakur; Shaoyun Wang; Jian-Guo Zhang; Ya-Fang Shang; Zhao-Jun Wei (Critical Reviews in Food Science and Nutrition, 2022)

Estimation for ammonia emissions at county level in China from 2013 to 2018 - Wenling Liao; Mingxu Liu; Xin Huang; Tiantian Wang; Zhenying Xu; Fang Shang; Yu Song; Xuhui Cai; Hongsheng Zhang; Ling Kang; Tong Zhu (Science China Earth Sciences, 2022)

Prediction of drought/flood intensities based on a 500-year time series in three different climate provinces of China - Yu Peng; Zhaohua Wang; Yixin Cui; Yali Su; Yiyun Tang; Shiqian Luo; Lianlin Liu; Yanqiu Zhou; Jihui Dong; Wentao Wang; Xiang Li; Jiaxin Shang; et al. (Regional Environmental Change, 2022)

Development and Application of Rock Fracture Propagation Numerical Simulation System - Hui Wang; Hang Zhou; Shichang Shang; Cheng Jiang (Geotechnical and Geological Engineering, 2022)

Monitoring and evaluation of antibiotic resistance genes in three rivers in northeast China - Chen Zhao; Chenyu Li; Xiaoming Wang; Zhuosong Cao; Chao Gao; Sicong Su; Bin Xue; Shang Wang; Zhigang Qiu; Jingfeng Wang; Zhiqiang Shen (Environmental Science and Pollution Research, 2022)

Rapid triage for ischemic stroke: a machine learning-driven approach in the context of predictive, preventive and personalised medicine - Yulu Zheng; Zheng Guo; Yanbo Zhang; Jianjing Shang; Leilei Yu; Ping Fu; Yizhi Liu; Xingang Li; Hao Wang; Ling Ren; Wei Zhang; Haifeng Hou; et al. (EPMA Journal, 2022)
Background Recognising the early signs of ischemic stroke (IS) in emergency settings has been challenging. Machine learning (ML), a robust tool for predictive, preventive and personalised medicine (PPPM/3PM), presents a possible solution for this issue and produces accurate predictions for real-time data processing. Methods This investigation evaluated 4999 IS patients among a total of 10,476 adults included in the initial dataset, and 1076 IS subjects among 3935 participants in the external validation dataset. Six ML-based models for the prediction of IS were trained on the initial dataset of 10,476 participants (split participants into a training set [80%] and an internal validation set [20%]). Selected clinical laboratory features routinely assessed at admission were used to inform the models. Model performance was mainly evaluated by the area under the receiver operating characteristic (AUC) curve. Additional techniques—permutation feature importance (PFI), local interpretable model-agnostic explanations (LIME), and SHapley Additive exPlanations (SHAP)—were applied for explaining the black-box ML models. Results Fifteen routine haematological and biochemical features were selected to establish ML-based models for the prediction of IS. The XGBoost-based model achieved the highest predictive performance, reaching AUCs of 0.91 (0.90–0.92) and 0.92 (0.91–0.93) in the internal and external datasets respectively. PFI globally revealed that demographic feature age, routine haematological parameters, haemoglobin and neutrophil count, and biochemical analytes total protein and high-density lipoprotein cholesterol were more influential on the model’s prediction. LIME and SHAP showed similar local feature attribution explanations. Conclusion In the context of PPPM/3PM, we used the selected predictors obtained from the results of common blood tests to develop and validate ML-based models for the diagnosis of IS. The XGBoost-based model offers the most accurate prediction. By incorporating the individualised patient profile, this prediction tool is simple and quick to administer. This is promising to support subjective decision making in resource-limited settings or primary care, thereby shortening the time window for the treatment, and improving outcomes after IS.

Dynamic functional network connectivity reveals the brain functional alterations in lung cancer patients after chemotherapy - Lanyue Hu; Shaohua Ding; Yujie Zhang; Jia You; Song’an Shang; Peng Wang; Xindao Yin; Wenqing Xia; Yu-Chen Chen (Brain Imaging and Behavior, 2022)

Geochemistry of Sediments from a Subalpine Lake Sedimentary Succession in the Western Nanling Mountains, Southern China: Implications for Catchment Weathering During the Last 15 400 Years - Bingxiang Wang; Wei Zhong; Chan Zhu; Jun Ouyang; Zhiqiang Wei; Shengtan Shang (Chinese Geographical Science, 2022)

Expanding the clinical spectrum of adult-onset neuronal intranuclear inclusion disease - Yuwen Cao; Jingying Wu; Yunhua Yue; Chao Zhang; Shihua Liu; Ping Zhong; Shige Wang; Xiaojun Huang; Weiping Deng; Jing Pan; Lan Zheng; Qing Liu; et al. (Acta Neurologica Belgica, 2022)

Field Investigation on the Coastal Erosion and Progradation Evolution of the Binzhou Shelly Chenier in China: Comparisons between Normal and Typhoon Hydrodynamics - Mingzheng Wen; Huaibo Zhang; Shoujun Wang; Zhiwen Shang; Shaotong Zhang; Peng Yang; Hong Wang (Journal of Marine Science and Engineering, 2022)
The shelly chenier is a dike-like accumulation formed by waves, currents, and other hydrodynamic forces pushing the shells and their debris in the intertidal zone to the high tide line. It is a special type of coastal dike. The shelly chenier located in Wangzi Island of northern Shandong Province is the last well-preserved chenier of the Bohai Bay with natural attributes exposed on the surface. It has unique and irreplaceable attributes among the shell beaches of China. Based on remote sensing interpretation, field investigation, and GPS-RTK (Real-Time Kinematic) measurement, this paper investigates the coastal erosion and progradation evolution of the Binzhou Shelly Chenier in China usingcomparisons between normal and typhoon hydrodynamics. The results show that: (1) There are two kinds of shelly chenier in the study area, the first is “the tidal channel shelly chenier” which is significantly affected by the tidal current, and the second is “the open shelly chenier”, which is significantly affected by direct scouring and silting of waves. The open shelly chenier is continuously eroding under the normal hydrodynamics and the shell beach is supplied by a large number of shells and their debris under the typhoon hydrodynamics, while the tidal channel shelly chenier is gradually developed due to the action of alongshore currents and in–out flows. (2) The energy of waves and currents under normal hydrodynamics is insufficient to transport the shells and their debris in the intertidal zone to the shell-beach. On the contrary, the continuous action of waves makes the shells and their debris on the open-shell beach finer and transports the shells and their debris to the sea causing erosion and retreat of the shelly chenier. (3) The action of typhoons and other strong winds and waves results in the original accumulation on the open shell-beach being further transported to the land and provides a large amount of shells and debris from the intertidal zone to the shelly chenier. Based on GPS-RTK monitoring data from 2020–2021, it was found that the transport volume of shells and debris caused by a typhoon storm surge is equivalent to the annual transport volume under normal ocean dynamics.

Secoiridoid glycosides from the fruits of Cornus officinalis - Xin Wang; Xiang-Jian Zhong; Na Zhou; Lin-Lin Ji; Jin-Jie Li; Ning Cai; Qing-Bo Wang; Peng-Cheng Lin; Xiao-Ya Shang (Natural Product Research, 2022)

Estimation of soil lead content based on GF-5 hyperspectral images, considering the influence of soil environmental factors - Songtao Ding; Xia Zhang; Weichao Sun; Kun Shang; Yibo Wang (Journal of Soils and Sediments, 2022)

Characterization and Anticancer Activity of a Folic Acid Conjugated and Cationic Peptide L-K6 Encapsulated Cancer-Targeting Liposomal Drug Delivery System - Ying Wang; Huan Xu; Bo Wang; Ruixue Wang; Che Wang; Dejing Shang (International Journal of Peptide Research and Therapeutics, 2022)

Reproductive toxicity investigation of silica nanoparticles in male pubertal mice - Fanli Sun; Xuying Wang; Pinzheng Zhang; Ziyun Chen; Zhiyi Guo; Xuan Shang (Environmental Science and Pollution Research, 2022)

The altered functional modular organization in systemic lupus erythematosus: an independent component analysis study - Zheng-Ye Cao; Na Wang; Hua Wei; Jie-Ting Jia; Hong-Ying Zhang; Song-An Shang; Qing-Qiang Zhu; Xian-Fu Luo; Jing-Tao Wu (Brain Imaging and Behavior, 2022)

Stability of Land-use/Land-cover in National Nature Reserves of Jilin Province, China - Yi Shang; Dongyan Wang; Shuhan Liu; Hong Li (Chinese Geographical Science, 2022)

Global divergent trends of algal blooms detected by satellite during 1982–2018 - Chong Fang; Kaishan Song; Hans W Paerl; Pierre‐Andre Jacinthe; Zhidan Wen; Ge Liu; Hui Tao; Xiaofeng Xu; Tiit Kutser; Zongming Wang; Hongtao Duan; Kun Shi; et al. (Global Change Biology, 2022)
Algal blooms (ABs) in inland lakes have caused adverse ecological effects, and health impairment of animals and humans. We used archived Landsat images to examine ABs in lakes (>1 km 2 ) around the globe over a 37‐year time span (1982–2018). Out of the 176032 lakes with area >1 km 2 detected globally, 863 were impacted by ABs, 708 had sufficiently long records to define a trend, and 66% exhibited increasing trends in frequency ratio (FRQR, ratio of the number of ABs events observed in a year in a given lake to the number of available Landsat images for that lake) or area ratio (AR, ratio of annual maximum area covered by ABs observed in a lake to the surface area of that lake), while 34% showed a decreasing trend. Across North America, an intensification of ABs severity was observed for FRQR ( p p p p

Expansion of bilin‐based red light sensors in the subaerial desert cyanobacterium Nostoc flagelliforme - Hai‐Feng Xu; Guo‐Zheng Dai; Yu‐Jie Wang; Chao Cheng; Jin‐Long Shang; Ren‐Han Li; Ke Liu; Deqiang Duanmu; Bao‐Sheng Qiu (Environmental Microbiology, 2022)
Summary Light is the crucial environmental signal for desiccation‐tolerant cyanobacteria to activate photosynthesis and prepare for desiccation at dawn. However, the photobiological characteristics of desert cyanobacteria adaptation to one of the harshest habitats on Earth remain unresolved. In this study, we surveyed the genome of a subaerial desert cyanobacterium Nostoc flagelliforme and identified two phytochromes and seven cyanobacteriochromes (CBCRs) with one or more bilin‐binding GAF (cGMP phosphodiesterase/adenylyl cyclase/FhlA) domains. Biochemical and spectroscopic analyses of 69 purified GAF‐containing proteins from recombinant phycocyanobilin (PCB), biliverdin or phycoerythrobilin‐producing Escherichia coli indicated that nine of these proteins bind chromophores. Further investigation revealed that 11 GAFs form covalent adducts responsive to near‐UV and visible light: eight GAFs contained PCB chromophores, three GAFs contained biliverdin chromophores and one contained the PCB isomer, phycoviolobilin. Interestingly, COO91_03972 is the first‐ever reported GAF‐only CBCR capable of sensing five wavelengths of light. Bioinformatics and biochemical analyses revealed that residue P132 of COO91_03972 is essential for chromophore binding to dual‐cysteine CBCRs. Furthermore, the complement of N . flagelliforme CBCRs is enriched in red light sensors. We hypothesize that these sensors are critical for the acclimatization of N . flagelliforme to weak light environments at dawn.

OsMYB103 is essential for tapetum degradation in rice - Ting Lei; Lisha Zhang; Ping Feng; Yang Liu; Wuzhong Yin; Lina Shang; Guanghua He; Nan Wang (Theoretical and Applied Genetics, 2022)

Probabilistic prediction of the spatial distribution of potential key blocks during tunnel surrounding rock excavation - Peng He; Li-ping Li; Gang Wang; Fei Xu; Shang-qu Sun (Natural Hazards, 2022)

Preparation and evaluation of Pd-Sn modified Ru-Ir electrode for denitrification of high chlorine ammonia–nitrogen wastewater - Zhen-xing Yang; Jie Shang; Guang-xu Yan; Yu-xian Wang; Shao-hui Guo (Environmental Science and Pollution Research, 2022)

Suitable chemical fertilizer reduction mitigates the water footprint of maize production: evidence from Northeast China - Jianqin Wang; Lijie Qin; Jingru Cheng; Chenchen Shang; Bo Li; Yongcai Dang; Hongshi He (Environmental Science and Pollution Research, 2022)

Retraction Note to: Improved Endovascular Coiling of Wide-Neck Intracranial Aneurysms in Elderly Patients by Double-Microcatheter Technique - Xiang Xu; Yu Zheng; Dayong Wang; Jianzhong Cui; Xiaoming Shang (Cell Biochemistry and Biophysics, 2022)

Incremental semi-supervised learning for intelligent seismic facies identification - He Su-Mei; Song Zhao-Hui; Zhang Meng-Ke; Yuan San-Yi; Wang Shang-Xu (Applied Geophysics, 2022)