Responses of straw foam-based aerobic granular sludge to atrazine: Insights from metagenomics and microbial community variations - Yu Jin; Wei Xiong; Dan Liu; Zhiqing Wu; Gang Xiao; Shaojie Wang; Haijia Su (Chemosphere, 2023)

Analysis on the attenuation characteristics of PPCPs in surface water and their influencing factors based on a compilation of literature data - Roujia Du; Lei Duan; Qianxin Zhang; Bin Wang; Jun Huang; Shubo Deng; Gang Yu (Water Research, 2023)

Evaluation of the role of superoxide radical as chain carrier for the formation of hydroxyl radical during ozonation - Yang Guo; Gang Yu; Urs von Gunten; Yujue Wang (Water Research, 2023)

Better therapeutic effect of oral administration of GS441524 compared with GC376 - Yuanyuan Yan; Jia Li; Zhe Jiao; Mengfang Yang; Lisha Li; Gang Wang; Yixi Chen; Mengxia Li; Zhou Shen; Yuejun Shi; Guiqing Peng (Veterinary Microbiology, 2023)

Advanced in situ analytical techniques: Opening the door for the structural analysis of starch and its food applications - Zhen Wu; Sheng Li; Gang Chen; Yongde Wang; Hong Li (Trends in Food Science & Technology, 2023)

The formation mechanism of the Cona Woka rift in Eastern Himalaya and its influence on the Tethyan Himalayan polymetallic deposits revealed by magnetotelluric imaging - Gang Wang; Qinyin Lv; Wenbo Wei; Hui Fang; Yaoyang Zhang; Xiaobo Zhang; Dawei Bai; Bingrui Du; Hongda Liang (Tectonophysics, 2023)

Waterwheel-inspired rotating evaporator for efficient and stable solar desalination even in saturated brine - Hanjin Jiang; Xinghang Liu; Haitao Wang; Dewen Wang; Yanan Guo; Dong Wang; Gang Gao; Xiaoyi Wang; Chaoquan Hu (Science Bulletin, 2023)

Reconstructing post-mid Pleistocene glacial-dammed paleolakes in the Tsangpo Gorge, southeastern Tibetan Plateau - Ping Wang; Huiying Wang; Gang Hu; Yukui Ge; Tao Liu; Bo Xu (Quaternary Science Reviews, 2023)

Autonomous underwater vehicle motion state recognition and control pattern mining - Zihao Wang; Yaxing Wang; Jinfu Liu; Zhiqiang Hu; Yijun Xu; Gang Shao; Yang Fu (Ocean Engineering, 2023)

High performance and mechanism of Tl(I) removal from solution by synergetic application of nanowire γ-MnOOH@biochar and free radicals: Implications to AMD treatment - Jin Wang; Shan Yu; Yanjun Jiang; Yanyi Liu; Xinni Xiong; Jun Xiao; Mengqing Sun; Jingzi Beiyuan; Juan Liu; Gang Song (Journal of Water Process Engineering, 2023)

Fabrication and characterizations of Zn-doped SnO2-Ti4O7 anode for electrochemical degradation of hexafluoropropylene oxide dimer acid and its homologues - Zehong Yang; Qiongfang Zhuo; Wenlong Wang; Shuting Guo; Jianfeng Chen; Yanliang Li; Sihao Lv; Gang Yu; Yongfu Qiu (Journal of Hazardous Materials, 2023)

Understanding grain virtual water flux dynamics and drivers from a socio-ecohydrological perspective: A case study of landlocked developing countries of Africa - Hubert Hirwa; Fadong Li; Simon Measho; Gang Chen; Fabien Muhirwa; Qiuying Zhang; Alphonse Kayiranga; Yunfeng Qiao; Peifang Leng; Chao Tian; Guang Yang; Jean Baptiste Baranyika; et al. (Journal of Cleaner Production, 2023)

Reassessing the cost of hydropower for multi-function hydropower bases: A case study from Sichuan - Xinran Guo; Huimin Wang; Yi Xiao; Gang Liu; Weiqian Wang (Journal of Cleaner Production, 2023)

Using 224Ra/228Th disequilibrium to quantify carbon transformation and export from intertidal sandy and muddy sediments - Qianqian Wang; Pinghe Cai; Shan Jiang; Xuejing Wang; Gang Li; Zhaoxi Liu; Faming Wang; Hailong Li (Geochimica et Cosmochimica Acta, 2023)

Community diversity of psychrophilic bacteria in dairy farm raw milk and its characteristic enzyme production at different temperature - Liangchao Dai; Shaozhen Hu; Xiaoyang Pang; Shuwen Zhang; Dongwei Yu; Yumeng Zhang; Yunna Wang; Junrui Wu; Jiaping Lv; Gang Lu (Food Bioscience, 2023)

Migration of hazardous substances during peanut oil squeezing for their dietary assessment - Bolei Yang; Xiaohua Yu; Jihao Shan; Xiaoyu Tian; Tosin Victor Adegoke; Shuo Yang; Gang Wang; Bowen Tai; Junning Ma; Qiang Yu; Fuguo Xing (Food Control, 2023)

Nrf2 protects against renal fibrosis induced by chronic cadmium exposure in mice - Chengjie Chen; Zhengsheng Zhou; Siqi Yu; Yawei Ma; Gang Wang; Xue Han; Congcong Jiao; Junjun Luan; Zhiyuan Liu; Yuanyuan Xu; Huihui Wang; Qiang Zhang; et al. (Food and Chemical Toxicology, 2023)

Assessing the occurrence and sources of synthetic additive pollutants in lake sediments using fecal and sewage markers - Rui Du; Xiaoxia Feng; Pu Wang; Ruiqiang Yang; Gang Li; Jianjie Fu; Yong Liang; Ting Ruan; Guibin Jiang (Environmental Pollution, 2023)

Subdomain principal component analysis for damage detection of structures subjected to changing environments - Jing-Gang Zang; Hai-Bin Huang; Zhi-Guo Sun; Dong-Sheng Wang (Engineering Structures, 2023)

Experimental evaluation of a locally prestressed precast concrete wall under repeated loading histories: Seismic performance and repairability - Yong Zhang; Chun-Lin Wang; Gang Wu (Engineering Structures, 2023)

Characteristics and quantification of fine particle loss in internally unstable sandy gravels induced by seepage flow - Zezhi Deng; Gang Wang; Wei Jin; Nian Tang; Hengxuan Ren; Xiangshan Chen (Engineering Geology, 2023)

Revealing the role of hydrogen bond, mechanism and kinetic for hydroesterification of ethylene to methyl propionate - Luming Wang; Yuhang Bian; Zhenyu Wu; Zengxi Li; Gang Wang; Chunshan Li (Chemical Engineering Journal, 2023)

Nanostructured relaxor ferroelectric polymers enable full utilization of nickel-rich cathode at wide-temperature - Hai Zhu; Chunxiao Zhang; Miao Song; Li Ma; Wenran Wang; Wenhui Feng; Gang Zhou; Yan Zhang; Weifeng Wei (Chemical Engineering Journal, 2023)

Preparation of ultrafine wheat straws with co-milling and its incorporation for biodegradable mulch film production with enhanced performance - Lei Xu; Zhiyu Zheng; Zhichao Lou; Xizhi Jiang; Min Wang; Gang Chen; Jingwen Chen; Nina Yan (Chemical Engineering Journal, 2023)

Approaching high thermoelectric performance in p-type Cu3SbS4-based materials by rational electronic and nano/microstructural engineering - Jingwen Yang; Xiao-Lei Shi; Qishuo Yang; Weixia Shen; Meng Li; Zhuangfei Zhang; Wei-Di Liu; Chao Fang; Yuanqing Mao; Qianqian Wang; Liangchao Chen; Biao Wan; et al. (Chemical Engineering Journal, 2023)

Cellulose sulfate lithium as a conductive binder for LiFePO4 cathode with long cycle life - Xu Su; Han Fang; Hao Yang; Fangfang Zou; Gang Li; Lian Wang; Hongxin Liao; Wei Guan; Xuebu Hu (Carbohydrate Polymers, 2023)

Predicting soil erosion and deposition on sloping farmland with different shapes in northeast China by using 137Cs - Yingli Shen; Ju Gu; Gang Liu; Xiaokang Wang; Hongqiang Shi; Chengbo Shu; Qiong Zhang; Zhen Guo; Yang Zhang (CATENA, 2023)

Effect of phase change cooling vest on related thermal regulation factors in moderately hot environments - Bingbing Liu; Haiying Wang; Huxiang Lin; Yitong Su; Gang Wei; Zhewen Xu (Building and Environment, 2023)

Decomposition and convergence analysis of industrial energy consumption in the Yangtze River Delta - Dongying Sun; Shijie Wang; Gang Tian; Gang Liu (Stochastic Environmental Research and Risk Assessment, 2023)

Lipocalin 2 in the Paraventricular Thalamic Nucleus Contributes to DSS-Induced Depressive-Like Behaviors - Yeru Chen; Du Zheng; Hongwei Wang; Shuxia Zhang; Youfa Zhou; Xinlong Ke; Gang Chen (Neuroscience Bulletin, 2023)

Study on the influence of fracture dip angle on mechanical and acoustic emission characteristics of deep granite - Xiqi Liu; Gang Wang; Leibo Song; Rong Hu; Xiaoming Ma; Xiaoping Ou; Shiji Zhong (Natural Hazards, 2023)

Neuroprotective Effects of Oxymatrine via Triggering Autophagy and Inhibiting Apoptosis Following Spinal Cord Injury in Rats - Jian Li; Yang Cao; Lin-Na Li; Xin Chu; Yan-Song Wang; Jia-Jun Cai; Jin Zhao; Song Ma; Gang Li; Zhong-Kai Fan (Molecular Neurobiology, 2023)

Role of TPEN in Amyloid-β25–35-Induced Neuronal Damage Correlating with Recovery of Intracellular Zn2+ and Intracellular Ca2+ Overloading - Wen-bo Chen; Yu-xiang Wang; Hong-gang Wang; Di An; Dan Sun; Pan Li; Tao Zhang; Wan-ge Lu; Yan-qiang Liu (Molecular Neurobiology, 2023)

YTHDF2 negatively correlates with tumor immune infiltration in small cell lung cancer - Gang Chen; Dandan Ren; Yuanhan Wang; Hui Wang; Junhong Zhang; Song Yang (Journal of Molecular Histology, 2023)

Characteristics of mesenchymal stem cells and their exosomes derived from giant panda (Ailuropoda melanoleuca) endometrium - Yu-Liang Liu; Jia-Song Chen; Jun-Hui An; Zhi-Gang Cai; Jing-Chao Lan; Yuan Li; Xiang-Wei Kong; Ming-Yue Zhang; Rong Hou; Dong-Hui Wang (In Vitro Cellular & Developmental Biology - Animal, 2023)

A comparative study of different methods for the determination of cadmium in various tissues of ramie (Boehmeria nivea L.) - Kunmei Chen; Pan Mou; Aiguo Zhu; Ping Chen; Jikang Chen; Gang Gao; Xiaofei Wang; Xinkang Feng; Chunming Yu (Environmental Monitoring and Assessment, 2023)
Remediation of cadmium (Cd) pollution is one of the priorities of global environmental governance and accurate detection of Cd content is a key link in remediation of Cd pollution. This study aimed to compare three methods (inductively coupled plasma optical emission spectrometry (ICP-OES), inductively coupled plasma mass spectrometry (ICP-MS), and graphite furnace-atomic absorption spectrometry (GF-AAS)) for the determination of Cd with different tissues of various ramie varieties, and distinguish the advantage and disadvantage of each method. In total, 162 samples of ramie ( Boehmeria nivea L.), which is an ideal plant for heavy metal remediation, were detected and the results showed that the three methods were all suitable for the de-termination of Cd content in ramie. ICP-OES and ICP-MS were simpler, faster, and more sensitive than GF-AAS. ICP-MS could be recommended for the determination of samples with various concentrations of Cd. ICP-OES could be used for measurement of samples with > 100 mg/kg Cd content, while GF-AAS was suitable for the detection of samples with very high (> 550 mg/kg) or very low (< 10 mg/kg) Cd content. Overall, considering the accuracy, stability, and the cost of measurement, ICP-MS was the most suitable method for determination of Cd content. This study provides significant reference information for the research in the field of Cd pollution remediation.

How digital economy and technological innovation can achieve a virtuous cycle with the ecological environment? - Siyan Liu; Yutian Miao; Gang Lu; Jing Wang (Environment, Development and Sustainability, 2023)

Mechanism of the summer rainfall interannual variability in transitional climate zone in East Asia: roles of teleconnection patterns and associated moisture processes - Qiulin Wang; Lin Wang; Gang Huang; Ting Wang (Climate Dynamics, 2023)

Effects of Dietary Zinc Deficiency on Skin Breaking Strength and Fatty Acid Composition in Broiler Chickens and Pekin Ducks - Guanhua Chen; Yang Zhang; Keying Zhang; Gang Tian; Shiping Bai; Xuemei Ding; Jianping Wang; Li Lv; Quan Tan; Wei Zhao; Qiufeng Zeng (Biological Trace Element Research, 2023)

Application of machine learning to the Vs-based soil liquefaction potential assessment - Qi-ru Sui; Qin-huang Chen; Dan-dan Wang; Zhi-gang Tao (Journal of Mountain Science, 2023)

Strength prediction model for water-bearing sandstone based on near-infrared spectroscopy - Xiu-lian Zhang; Fang Zhang; Ya-zhe Wang; Zhi-gang Tao; Xiao-yun Zhang (Journal of Mountain Science, 2023)

Comparison of Formation Conditions of Source Rocks of Fengcheng and Lucaogou Formations in the Junggar Basin, NW China: Implications for Organic Matter Enrichment and Hydrocarbon Potential - Shiju Liu; Gang Gao; Wenzhe Gang; Baoli Xiang; Ming Wang; Chengyun Wang (Journal of Earth Science, 2023)

A novel biosensor based on tetrahedral DNA nanostructure and terminal deoxynucleotidyl transferase-assisted amplification strategy for fluorescence analysis of uracil-DNA glycosylase activity - Zixin Zhao; Zuowei Xie; Siyi Chen; Min Chen; Xingyu Wang; Gang Yi (Analytica Chimica Acta, 2023)

Novel graphene electrochemical transistors incorporating zirconia inorganic molecular imprinted layer：Design, construction and application for highly sensitive and selective detection of acetaminophen - Nan Gao; Junzi Pan; Lei Wang; Zhiwei Cai; Gang Chang; Yuxiang Wu; Yunbin He (Analytica Chimica Acta, 2023)

A 3D phytic acid cross-linked high-porous conductive hydrogel integrating g-C3N4 for electrochemical multiplex sensing of heavy metal ions - Lu Xiao; Yulan Zhao; Gang Chang; Huiling Yan; Rong Zou; Xiuhua Zhang; Shengfu Wang; Hanping He (Analytica Chimica Acta, 2023)

Uncertainty in land use obscures global soil organic carbon stock estimates - Chengcheng Gang; Hao Shi; Hanqin Tian; Shufen Pan; Naiqing Pan; Rongting Xu; Zhuonan Wang; Zihao Bian; Yongfa You; Yuanzhi Yao (Agricultural and Forest Meteorology, 2023)

Spatial distribution and export of nutrients and metal elements in the subterranean estuary of Daya Bay - Zhaoxi Liu; Mingchen Ge; Qianqian Wang; Xuejing Wang; Kai Xiao; Gang Li; Hailong Li (Acta Oceanologica Sinica, 2023)

A Method for Multi-Beam Bathymetric Surveys in Unfamiliar Waters Based on the AUV Constant-Depth Mode - Junsen Wang; Yulin Tang; Shaohua Jin; Gang Bian; Xinyang Zhao; Chengyang Peng (Journal of Marine Science and Engineering, 2023)
Given the lack of systematic research on bathymetric surveys with multi-beam sonar carried by autonomous underwater vehicles (AUVs) in unfamiliar waters, this paper proposes a method for multi-beam bathymetric surveys based on the constant-depth mode of AUVs, considering equipment safety, operational efficiency, and data quality. Firstly, basic principles for multi-beam bathymetric surveys under the constant-depth mode are proposed based on multi-beam operational standards and AUV constant-depth mode characteristics. Secondly, a vertical effective height model for the vehicle is established, providing vertical constraints and a basis for determining fixed depth in constant-depth missions. Subsequently, according to these basic principles and the vertical effective height model, the operational process for multi-beam bathymetric surveys in unfamiliar waters under the AUV constant-depth mode is outlined. Finally, we validate the proposed method through sea trials in the Xisha Sea of the South China Sea. The test results show that the method proposed in this paper not only ensures the vehicle safety operation and multi-beam data quality, but also improves the operation efficiency by about 68%, demonstrating the reliability of the proposed method and its significant engineering value and guidance implications.

Dihydrophenanthrenes and phenanthrenes from Dendrobium terminale - Lei Cheng; Yi-Ke Fang; Mao-Sheng Zhang; Gang Wang; Min-Jian Dong; Cheng-Xin Sun; Shi-Ji Xiao (Natural Product Research, 2023)

Abundance and ecological footprint of Pseudoalteromonas phage vB_PhoS_XC in the Ulva prolifera green tide - Jianhua Sun; Xinran Zhang; Yantao Liang; Kaiyang Zheng; Fraser Kennedy; Meiaoxue Han; Gang Liu; Yundan Liu; Ziyue Wang; Xuechao Chen; Yeong Yik Sung; Wen Jye Mok; et al. (Frontiers in Marine Science, 2023)
Pseudoalteromonas is a ubiquitous and abundant genus of marine bacteria commonly associated with algae. In this study, a novel siphoviral-morphological bacteriophage, vB_PhoS_XC, was isolated from the coastal seawaters of Qingdao (China) during a bloom of the Ulva prolifera ( U. prolifera ) green tide. The morphology of this phage (icosahedron head 51 ± 1 nm in diameter; a tail length of 86 ± 1 nm) was characterized through transmission electron microscope. The biological properties of this virus showed a short latent period (45 minutes), a large burst size (241 virions per cell) and a relatively wide range of temperatures/pH level tolerance (-20°C to 45°C and pH 4 to pH 10, respectively). The vB_PhoS_XC has a 46,490-bp double-stranded DNA genome with a G+C content of 40.0%, and encodes 72 open reading frames (ORFs). Thirty-five of these ORFs were assigned into known functions based on BLAST-based algorithm against NR database of GenBank. In addition, eco-genomic analysis provides the evidence of vB_PhoS_XC accompanied by bloom of U. prolifera , and confirmed the high expression of two phosphatase-metabolism-related auxiliary metabolic genes (AMGs). This study provides new insights into the functional and ecological roles of the Pseudoalteromonas phage vB_PhoS_XC, shedding light on the virological study approach combined with traditional isolation and meta-omics data.

Semi-Analytical Methods for the Joint Strength and Sealing Performance in the Failure Process of the Subsea Pipeline Compression Connector - Zhenyu Li; Gang Wang; Xiangyu Wang; Shaoming Yao; Feihong Yun; Peng Jia; Liquan Wang (Journal of Marine Science and Engineering, 2023)
Radial seals are sensitive to axial overload failure and may cause leaks. This paper presents two semi-analytical methods for the joint strength and sealing performance of the subsea pipeline compression connector under axial overload failure. The method for the joint strength consists of two parts: One is the analytical model for the joint strength of the connection and seal under axial tension and compression conditions. The models are based on membrane theory, considering the hardening and bending effects. The other is a two-dimensional, axisymmetric finite element model for the joint strength of the radial metal seal. The semi-analytical method for the overload sealing performance is derived using a finite element model and the Reynolds equation of the laminar flow. The effects of critical parameters on the joint strength and the overload sealing performance are analyzed. The experiments are carried out with specimens and prototypes to evaluate the evolution of the sealing interface and the joint strength. The results show that both the internally turned sealing surface and the deflection of the pipe can improve the joint strength. In addition, the compression-type connector can remain sealed under the maximum axial overload. The proposed methods allow the prediction and identification of the overload joint strength and the sealing condition of the compression-type connector and provide a better understanding of the radial metal seal under the axial overload condition.

Intelligent Fault Diagnosis of Variable-Condition Motors Using a Dual-Mode Fusion Attention Residual - Fengyun Xie; Gang Li; Wang Hu; Qiuyang Fan; Shengtong Zhou (Journal of Marine Science and Engineering, 2023)
Electric motors play a crucial role in ship systems. Detecting potential issues with electric motors is a critical aspect of ship fault diagnosis. Fault diagnosis in motors is often challenging due to limited and noisy vibration signals. Existing deep learning methods struggle to extract the underlying correlation between samples while being susceptible to noise interference during the feature extraction process. To overcome these issues, this study proposes an intelligent bimodal fusion attention residual model. Firstly, the vibration signal to be encoded undergoes demodulation and is divided into high and low frequencies using the IEEMD (Improved Ensemble Empirical Mode Decomposition) composed of the EEMD (Ensemble Empirical Mode Decomposition) and the MASM (the Mean of the Standardized Accumulated Modes). Subsequently, the high-frequency component is effectively denoised using the wavelet packet threshold method. Secondly, current data and vibration signals are transformed into two-dimensional images using the Gramian Angular Summation Field (GASF) and aggregated into a bimodal Gramian Angle Field diagram. Finally, the proposed model incorporates the Self-Attention Squeeze-and-Excitation Networks (SE) mechanism with the Swish activation function and utilizes the ResNeXt architecture with a Dropout layer to identify and diagnose faults in the multi-mode fusion dataset of motors under various working conditions. Based on the experimental results, a comprehensive discussion and analysis were conducted to evaluate the performance of the proposed intelligent bimodal fusion attention residual model. The results demonstrated that, in comparison to traditional methods and other deep learning models, the proposed model effectively utilized multimodal data, thereby enhancing the accuracy and robustness of fault diagnosis. The introduction of attention mechanisms and residual learning enable the model to focus more effectively on crucial modal data and learn the correlations between modalities, thus improving the overall performance of fault diagnosis.

Metallomic profiling and natural copper isotopic signatures of childhood autism in serum and red blood cells - Weibo Ling; Gang Zhao; Weichao Wang; Chao Wang; Luyao Zhang; Huazhou Zhang; Dawei Lu; Shasha Ruan; Aiqian Zhang; Qian Liu; Jie Jiang; Guibin Jiang (Chemosphere, 2023)

Review of health inspection and reinforcement design for typical tunnel quality defects of voids and insufficient lining thickness - Wei Han; Yujing Jiang; Gang Wang; Chuanzheng Liu; Dairiku Koga; Hengjie Luan (Tunnelling and Underground Space Technology, 2023)

Coupled rheological behavior of tunnel rock masses reinforced by rock bolts based on the non-hydrostatic stress field - Gang Wang; Wei Fang; Wei Han; Yujing Jiang; Xianda Zhang; Feng Xu; Shubo Zhang (Tunnelling and Underground Space Technology, 2023)

Experimental assessment of clayey layers for clogging potential in TBM tunnel driving and the influence of compositional factors - Gang Wang; Xianwei Zhang; Xinyu Liu; Haodong Gao; Ran An; Song Yin (Tunnelling and Underground Space Technology, 2023)

Health impacts under different ozone mitigation pathways in Beijing-Tianjin-Hebei and its surroundings - Yu Zhang; Xin Liu; Xurong Shi; Wenbo Xue; Zeyuan Liu; Yihao Wang; Gang Yan (Science of The Total Environment, 2023)

A quantitative analysis of marine heatwaves in response to rising sea surface temperature - Yangyan Cheng; Min Zhang; Zhenya Song; Gang Wang; Chang Zhao; Qi Shu; Yuanling Zhang; Fangli Qiao (Science of The Total Environment, 2023)

Multimedia fate of sulfamethoxazole (SMX) in a water-scarce city by coupling fugacity model and HYDRUS-1D model - Yanqi Wu; Shuai Song; Fadong Li; Haotian Cui; Rui Wang; Shengjie Yang; Zhao Li; Gang Chen (Science of The Total Environment, 2023)

River system changes and locust breeding area evolution in the Qin-Jin region of the Yellow River Basin during the Ming and Qing dynasties and their disaster effects - Shuo Wang; Gang Li; Chenxi Feng; Wei Xu; Xingxing Wang; Qifan Nie; Xing Gao; Qian Liu (Science of The Total Environment, 2023)

An improved triple collocation-based integration of multiple gravity anomaly grids from satellite altimetry: Contribution of ICESat-2 - Nengfang Chao; Shuai Wang; Guichong Ouyang; Cheinway Hwang; Taoyong Jin; Chengcheng Zhu; Adili Abulaitijiang; Shengjun Zhang; Lianzhe Yue; Gang Chen; Yanze Zhang (Remote Sensing of Environment, 2023)

Evolutionary stasis during the Mesoproterozoic Columbia-Rodinia supercontinent transition - Gui-Mei Lu; Wei Wang; Richard E. Ernst; Hafida El Bilali; Christopher J. Spencer; Yi-Gang Xu; Andrey Bekker (Precambrian Research, 2023)

Santalane-type sesquiterpenoids and isobenzofuranones from cultures of Paraconiothyrium sporulosum YK-03 - Li-Hua Zhang; Wen-Ke Gao; Shi-Wei Li; Xiao-Yan Song; Hong-Hua Wu; Hai-Feng Wang; Gang Chen; Shao-Xia Wang; Yue-Hu Pei (Phytochemistry, 2023)

Modeling of swimming posture dynamics for a beaver-like robot - Gang Chen; Wang Peng; Zhenyu Wang; Jiajun Tu; Huosheng Hu; Donghai Wang; Hao Cheng; Lvyuan Zhu (Ocean Engineering, 2023)

Experimental study on time-varying failure evolution of armour blocks on sloping breakwaters - Aifeng Tao; Wei Xu; Jinrui Si; Songgui Chen; Hongbo Zhao; Gang Wang (Ocean Engineering, 2023)

Dissolved‑selenium removal using magnetic nanoparticles: A state-of-the-art review - Gang Chen; Feiyin Ge; Yao Wang; Pei Liu; Shuai He; Hao Shi; Zhongbiao Tan (Journal of Water Process Engineering, 2023)

A self-intensified inverted evaporation model constructed by high entropy spectrally selective absorber coating (SSAC) for brine water concentration - Sen Ai; Yi-Nuo Wang; Tong-Jun Li; Yong-Zhi Chen; Cheng-Yu He; Bao-Hua Liu; Gang Liu; Xiang-Hu Gao (Journal of Water Process Engineering, 2023)

Tracing terrestrial groundwater discharge and porewater exchange derived dissolved carbon export in a tropical estuary using multiple isotopes - Qianqian Wang; Gang Tang; Shan Jiang; Xuejing Wang; Kai Xiao; Shengchao Yu; Pinghe Cai; Xingxing Kuang; Hailong Li (Journal of Hydrology, 2023)

Non-contact bacterial identification and decontamination based on laser-induced breakdown spectroscopy - Jiahui Liang; Shuqing Wang; Xuebin Luo; Yan Zhang; Fei Chen; Ziqi Mi; Lei Zhang; Gang Wang; Wanfei Zhang; Zhenrong Liu; Xiaofei Ma; Zefu Ye; et al. (Journal of Photochemistry and Photobiology B: Biology, 2023)

Anaerobic sludge digestion elevates dissemination risks of bacterial antibiotic resistance in effluent supernatant - Xia Li; Guowei Chen; Li Liu; Gang Wang (Journal of Environmental Management, 2023)

Provenance and tectonic settings of the Early Silurian clastic rocks in the southeast Upper Yangtze region: Constraints from the whole-rock geochemistry and detrital zircon U–Pb geochronology - Peng Ren; Chuanlong Mou; Gang Zhou; Qiyu Wang; Xiuping Wang (Journal of Asian Earth Sciences, 2023)

Prediction of normal boiling point and critical temperature of refrigerants by graph neural network and transfer learning - Gang Wang; Peng Hu (International Journal of Refrigeration, 2023)

Insights into the modulation of the multi-scale structure of glutelin on the textural properties of reconstituted rice - Li-Shuang Wang; Xiao-Shuai Yu; Ke-Xin Wang; Jin-Jie Huo; Xiao-Qi Ma; Yu-Min Duan; Zhi-Gang Xiao; Peng Wang (Innovative Food Science & Emerging Technologies, 2023)

Does China's natural forest logging ban affect the stability of the timber import trade network? - Qian Zhang; Baodong Cheng; Gang Diao; Chenlu Tao; Can Wang (Forest Policy and Economics, 2023)

Effect of Clostridium butyricum on intestinal microbiota and resistance to Vibrio alginolyticus of Penaeus vannamei - Chen Wang; Peng-Fei Li; Da-Gang Hu; Hui Wang (Fish & Shellfish Immunology, 2023)

A novel fluorescent probe for imaging endogenous hydrogen sulfide in living cells and mice models of acute liver injury - Kai Wang; Rui Guo; Xu-Yang Chen; Xiu-Lin Li; Zhi-Gang Hu; Xiao Wang; Chao-Yue Wang; Ya-Juan Qin; Kun Yao; Yu-Shun Yang (Chemical Engineering Journal, 2023)

Kinetic and thermodynamic studies on direct synthesis of methyl methacrylate from methyl propionate and methanol catalyzed by highly efficient cobalt complex at mild conditions - Gang Wang; Xiaoming Hu; Shirun Zhao (Chemical Engineering Journal, 2023)

Enhancing charge transfer utilizing ternary composite slurry for high-efficient flow-electrode capacitive deionization - Lvji Yan; Sikpaam Issaka Alhassan; Haiyin Gang; Bichao Wu; Dun Wei; Yiyun Cao; Peng Chen; Haiying Wang (Chemical Engineering Journal, 2023)

Enhanced electromagnetic wave absorption, thermal conductivity and flame retardancy of BCN@LDH/EP for advanced electronic packing materials - Yongxin Qian; Yubo Luo; You Li; Tianshun Xiong; Luyao Wang; Wenguang Zhang; Shuangfu Gang; Xin Li; Qinghui Jiang; Junyou Yang (Chemical Engineering Journal, 2023)

Impacts of adding FeSO4 and biochar on nitrogen loss, bacterial community and related functional genes during cattle manure composting - Zhuangzhuang Liu; Zhiwei Yan; Gang Liu; Xinyu Wang; Jun Fang (Bioresource Technology, 2023)

Characterizing Anisotropic Swelling Strains of Coal Using Combined Rosette Strain Gauge and CT-Scans - Ang Liu; Shimin Liu; Kaiwen Xia; Peng Liu; Yun Yang; Gang Wang (Rock Mechanics and Rock Engineering, 2023)

Contribution of the Chinese Meridian Project to space environment research: Highlights and perspectives - Chi Wang; Jiyao Xu; Libo Liu; Xianghui Xue; Qinghe Zhang; Yongqiang Hao; Gang Chen; Hui Li; Guozhu Li; Bingxian Luo; Yajun Zhu; Jiangyan Wang (Science China Earth Sciences, 2023)
The Chinese Meridian Project (CMP) is devoted to establishing a comprehensive ground-based monitoring network for China’s space weather research. CMP is a major national science and technology infrastructure project with the participation of more than 10 research institutions and universities led by the National Space Science Center of the Chinese Academy of Sciences. CMP is planned to be constructed in two phases: CMP phases I and II. The first phase (CMP-I) started construction in 2008 and completed in 2012, after which it entered the operation stage. The 10-year observation of CMP-I has made significant scientific discoveries and achievements in the research fields of the middle and upper atmospheric fluctuations, metal layers in the mesosphere and lower thermosphere, ionospheric disturbances and irregularities, geomagnetic disturbances, and influences of solar activity. The review summarizes the main observations and research achievements, space weather forecast modeling and methods based on CMP-I over the past 10 years, and presents a future extension perspective along with the construction of CMP-II.

The mesoscopic fracture mechanism of rockbursts under gradient stresses - Xiqi Liu; Gang Wang; Yan Chang; Leibo Song; Kai Liu (Bulletin of Engineering Geology and the Environment, 2023)

Determination of Time Progression and Sensitive Biomarkers of Maternal Zinc Depletion in Broiler Chickens and Pekin Ducks Fed a Zinc-Deficient Diet - Guanhua Chen; Keying Zhang; Gang Tian; Shiping Bai; Xuemei Ding; Jianping Wang; Li Lv; Quan Tan; Wei Zhao; Qiufeng Zeng (Biological Trace Element Research, 2023)

Optimization of anchorage support parameters for soft rock tunnel based on displacement control theory - Gan Li; Wei-bin Ma; Chang-yi Yu; Zhi-gang Tao; Feng-nian Wang (Journal of Mountain Science, 2023)

Fluorescence Properties and Chemical Composition of Fine Particles in the Background Atmosphere of North China - Ping Li; Siyao Yue; Xiaoyang Yang; Di Liu; Qiang Zhang; Wei Hu; Shengjie Hou; Wanyu Zhao; Hong Ren; Gang Li; Yuanguan Gao; Junjun Deng; et al. (Advances in Atmospheric Sciences, 2023)

Effect of wheat crop height and canopy coverage on microsprinkling hose irrigation uniformity - Wenjuan Wang; Wene Wang; Rong Wei; Gang Ling; Hong Li; Xiaotao Hu (Irrigation and Drainage, 2023)
Crop shading affects irrigation uniformity and water distribution under microsprinkling hose irrigation (MHI). This study aims to ascertain how MHI distributes irrigation water under crop shading. Various crop heights and canopy coverages of wheat specimens were designed. The experiment was conducted under four working pressures (20, 24, 28 and 32 kPa). The irrigation water distribution of the MHI under crop shading was analysed under various crop heights and canopy coverages. The results showed that (1) the irrigation uniformity of MHI could reach approximately 50% while the planting row spacing of wheat was appropriate. Crop shading had little effect on irrigation performance. (2) During the jointing period, when the wheat height reached 0.4 m, intensive stems reduced the irrigation uniformity and spraying range of MHI. (3) The wheat height could reach 0.6–0.7 m in the maturing period. The uniformity was 25%–50%, which was far lower than the effect of irrigation during the jointing period. To obtain great irrigation performance and acceptable crop yield, it is important to select the proper pressure under the various crop heights and canopy coverages of wheat under MHI.

Advances in combined application of dental stem cells and small-molecule drugs in regenerative medicine - Zejun Zheng; Shuai Tang; Tong Yang; Xiaolan Wang; Gang Ding (Human Cell, 2023)

A Curvelet-Transform-Based Image Fusion Method Incorporating Side-Scan Sonar Image Features - Xinyang Zhao; Shaohua Jin; Gang Bian; Yang Cui; Junsen Wang; Bo Zhou (Journal of Marine Science and Engineering, 2023)
Current methods of fusing side-scan sonar images fail to tackle the issues of shadow removal, preservation of information from adjacent strip images, and maintenance of image clarity and contrast. To address these deficiencies, a novel curvelet-transform-based approach that integrates the complementary attribute of details from side-scan sonar strip images is proposed. By capitalizing on the multiple scales and orientations of the curvelet transform and its intricate hierarchical nature, myriad fusion rules were applied at the corresponding frequency levels, enabling a more-tailored image fusion technique for side-scan sonar imagery. The experimental results validated the effectiveness of this method in preserving valuable information from side-scan sonar images, reducing the presence of shadows and ensuring both clarity and contrast in the fused images. By meeting the aforementioned challenges encountered in existing methodologies, this approach demonstrated great practical significance.

Influence of reef structure and its flow field effect on the spatial behavior of Sebastes schlegelii adults - Pihai Gong; Jiao Li; Gang Wang; Changtao Guan; Zhen Meng; Yudong Jia (Frontiers in Marine Science, 2023)
Sebases schlegelii is an important economic reef fish in northern China. Its distribution in the reef area is affected by the reef structure and flow field. To evaluate the effects of differently shaped artificial reefs with distinct flow field properties on the distribution of adult S. schlegelii , four types of artificial reefs (cubic (CAR), pyramidal (PAR), star-shaped (SAR) and tubular (TAR) artificial reef) and the related flow regimes were experimentally examined. The mean gathering rate (MGR) and wavelet analysis were adopted to analyze the distribution patterns of S. schlegelii adults around reef bodies in three representative environmental conditions (static water (FE1), 40 Hz water flow environment (FE2), and 50 Hz water flow environment (FE3)). The significant gathering behaviors around the artificial reefs were depicted through the MGR of adult fish during physical observations. For FE1, the MGR of adult fish showed a decrease in the order PAR > CAR > SAR > TAR. With increasing incoming velocities, the MGR changed such that the quantity of adult fish in the CAR gradually increased more than that in the PAR, but no significant differences were observed between them (P>0.05). Wavelet analysis showed that the fluctuations in the gathering behaviors of adults decreased with increasing flow velocities. Based on the two-factor analysis of variance, the reef structural characteristics had a more significant impact than the flow velocities on the gathering behavior of adult fish. In summary, the PAR and CAR are recommended to restore the habitats of S. schlegelii in marine ranches given their dominant aggregation effects on S. schlegelii .

Projection of gust wind over China under RCP8 .5 scenario within CORDEX‐EA‐II project - Gang Liu; Tongxin Li; Xiaoyu Zhu; Shuyu Wang; Jianping Tang (International Journal of Climatology, 2023)
A wind gust parameterization scheme combined with the Weather Research and Forecasting (WRF) model used as the regional climate model (RCM) is employed to simulate and project the gust wind speed at 10‐m height above ground level for the whole China in the historical and future period 1981–2005 and 2036–2060. The gust wind speed is compared between the historical and future period to investigate its long‐term change under the background of warming climate within the CORDEX‐EA‐II project under the RCP8.5 scenario. First, the gust wind speed simulated by the gust parameterization inputted with the RCM simulations driven by the ERA‐Interim reanalysis data is compared with the ERA5 reanalysis data and their discrepancy is discussed. Then the historical/future gust wind speed is simulated/projected with the RCM simulations driven by four global climate models' results. The comparisons between the historical simulations and future projections show the gust wind speeds overall change slightly with little response to the future warming climate as the whole China is concerned, and the maximal increment and decrement of averaged annual maximal gust wind speed are, respectively, 2.25 and −2.57 m·s −1 . The increases greater than 1 m·s −1 are mostly located in the eastern and southeastern coast and northwestern inland while the decreases less than −1 m·s −1 are mostly located in part of the Tibet Plateau and northwestern inland.

Orthogonal experiment on underwater rock breaking by gas–liquid two-phase jet - Gang Shang; Songyong Liu; Qin Wang; Zhiyuan Cai (Marine Georesources & Geotechnology, 2023)

Application of infrared thermography and machine learning techniques in cattle health assessments: A review - Yanchao Wang; Qian Li; Mengyuan Chu; Xi Kang; Gang Liu (Biosystems Engineering, 2023)

Stability and WBE biomarkers possibility of 17 antiviral drugs in sewage and gravity sewers - Jiaqi Wen; Lei Duan; Bin Wang; Qian Dong; Yanchen Liu; Jun Huang; Gang Yu (Water Research, 2023)

Thiosulfate pretreatment enhancing short-chain fatty acids production from anaerobic fermentation of waste activated sludge: Performance, metabolic activity and microbial community - Boyi Cheng; Yayi Wang; Da Zhang; Di Wu; Feixiang Zan; Jie Ma; Lei Miao; Zongping Wang; Guanghao Chen; Gang Guo (Water Research, 2023)

Characterization of UV/chlorine process for micropollutant abatement by probe compound-based kinetic models - Yinqiao Zhang; Yang Guo; Jingyun Fang; Kaiheng Guo; Gang Yu; Yujue Wang (Water Research, 2023)

Peripheral Klotho protects the kidney and brain by regulating M2a/M2c macrophage polarization in d-gal-treated aged mice - Yiping Wang; Xicheng Xiong; Kun Wang; Yali Bao; Tian Zhang; Dina Ainiwaer; Gang Wang; Huihui Li; Zhan Sun (Tissue and Cell, 2023)

Three-dimensional electrical structure and seismogenic environment of the crust–mantle in the Lushan earthquake region, China - Gang Zhang; Xuben Wang; Yushu Tang; Yu Ma; Xinhai Zhang; Dewei Li; Chunmei Huang; Xuelin Cai (Tectonophysics, 2023)

Intelligent operation, maintenance, and control system for public building: Towards infection risk mitigation and energy efficiency - Chen Ren; Hao-Cheng Zhu; Junqi Wang; Zhuangbo Feng; Gang Chen; Fariborz Haghighat; Shi-Jie Cao (Sustainable Cities and Society, 2023)

Divergent spatiotemporal variability of terrestrial water storage and eight hydroclimatic components over three different scales of the Yangtze River basin - Nengfang Chao; Fupeng Li; Nan Yu; Gang Chen; Zhengtao Wang; Guichong Ouyang; Pat J.-F. Yeh (Science of The Total Environment, 2023)

Degradation reduces greenhouse gas emissions while weakening ecosystem carbon sequestration of Moso bamboo forests - Ning Yuan; Enhui Wang; Shaofeng Lv; Xiaoping Tang; Tongying Wang; Gang Wang; Yufeng Zhou; Guomo Zhou; Yongjun Shi; Lin Xu (Science of The Total Environment, 2023)

The effect of environmental changes on locust outbreak dynamics in the downstream area of the Yellow River during the Ming and Qing Dynasties - Xingxing Wang; Gang Li; Shuo Wang; Chenxi Feng; Wei Xu; Qifan Nie; Qian Liu (Science of The Total Environment, 2023)

Evaluating gross primary productivity over 9 ChinaFlux sites based on random forest regression models, remote sensing, and eddy covariance data - Xiaoqing Chang; Yanqiu Xing; Weishu Gong; Cheng Yang; Zhen Guo; Dejun Wang; Jiaqi Wang; Hong Yang; Gang Xue; Shuhang Yang (Science of The Total Environment, 2023)

Teaching an old N-alkylation new tricks: from SN1 and SN2 N-alkylation to radical enantioconvergent N-alkylation - Yong-Yuan Gui; Xiao-Wang Chen; Da-Gang Yu (Science Bulletin, 2023)

Experimental and molecular dynamics simulation study on the influence of SDS and JFC composite ratios on bituminous coal wettability - Ben Ji; Bingyou Jiang; Liang Yuan; Changfei Yu; Gang Zhou; Yang Zhao; Shiju Wang; Xiaohan Wang (Process Safety and Environmental Protection, 2023)

Wave field predictions using a multi-layer perceptron and decision tree model based on physical principles: A case study at the Pearl River Estuary - Yao Luo; Hui Shi; Zhenqiu Zhang; Cheng Zhang; Wei Zhou; Gang Pan; Weiqiang Wang (Ocean Engineering, 2023)

Pollution caused by mining reshaped the structure and function of bacterial communities in China’s largest ion-adsorption rare earth mine watershed - Wang Shu; Fadong Li; Qiuying Zhang; Zhao Li; Yunfeng Qiao; Joachim Audet; Gang Chen (Journal of Hazardous Materials, 2023)

Effect of two extenders on the cryopreservation of Biyang donkey semen - Feng Yang; Hang Jiao; Lige Zhang; Songyuan Zhang; Fengting Zhan; Fangxian Zhu; Xian Liu; Gang Liu; Kejun Wang (Journal of Equine Veterinary Science, 2023)

Exploring interactions in water-related ecosystem services nexus in Loess Plateau - Yixin Wang; Huimin Wang; Jingxuan Zhang; Gang Liu; Zhou Fang; Dandan Wang (Journal of Environmental Management, 2023)

Highly synergistic and polarized KNbO3/WO3 heterojunction for piezo-photocatalytic degradation of organic pollutant - Rui Huang; Wei Cai; Heng Zhang; Zhenhua Wang; Qin Zhang; Rongli Gao; Gang Chen; Xiaoling Deng; Xiang Lei; Jiling Dong; Xiaoyan Liu; Chunlin Fu (Journal of Environmental Chemical Engineering, 2023)

Recent advances of MXenes in the photocatalytic pollutant degradations for environmental applications: A mini review - Yanling Jin; Jiahui Geng; Jiayi Wang; Fang Ren; Zhengyan chen; Zhenfeng Sun; Chang Yan; Peng-Gang Ren (Journal of Environmental Chemical Engineering, 2023)

Fabrication of Cu0-composited CuFe2O4 magnetic nanoparticles on diatomite support for efficient degradation of tetracycline hydrochloride by a Fenton-like system - Shuai Deng; Zhi Guo; Yi-Han Chen; Kang-Ping Cui; Zhao-Gang Ding; Bei Wang; Rohan Weerasooriya; Xing Chen (Journal of Environmental Chemical Engineering, 2023)

Human activities affect the concentrations and distributions of trace metals in the heavily sediment-laden Yellow River - Dianbao Li; Baozhu Pan; Xu Han; Gang Li; Zhiyuan Feng; Xinyuan Wang (Journal of Environmental Chemical Engineering, 2023)

A novel evaluation scheme of resistivity anisotropy in near-tight sandstones using conventional geophysical logs: A case study of the Triassic Chang 8 oil layer, Zhenjing area, Ordos Basin - Zhen Qin; Gang Wang; Yuehua Zhang; Cheng Wang; Jinbo Wu; Kejia Su; Kangjian Wei; Chengxiang Deng; Changying Ma; Kun Xiao; Heping Pan; Xiangyun Hu (Journal of Applied Geophysics, 2023)

Accelerated hydrological cycle during the Toarcian oceanic anoxic event: Biomarker evidence in the Qiangtang Basin, eastern Tethys - Jianquan Yi; Xiugen Fu; Qiuding Du; Hengye Wei; Ahmed Mansour; Ying Nie; Yuhong Zeng; Jinxian Deng; Gang Zhou; Wenzhi Wang; Lijun Shen (Journal of Asian Earth Sciences, 2023)

Integrated evaluations of high-quality shale play using core experiments and logging interpretations - Gang Hui; Zhangxin Chen; Jun Yan; Muming Wang; Hai Wang; Dongmei Zhang; Fei Gu (Fuel, 2023)

Macerals particle characteristics analysis of tar-rich coal in northern Shaanxi based on image segmentation models via the U-Net variants and image feature extraction - Jinwen Fan; Meili Du; Lei Liu; Gang Li; Dechao Wang; Shuo Liu (Fuel, 2023)

Experimental study of H2/air turbulent expanding flames over wide equivalence ratios: Effects of molecular transport - Haoran Zhao; Gang Li; Jinhua Wang; Zuohua Huang (Fuel, 2023)

Analysis of micro-mixing and chemical kinetic effects of ultra-lean methane-air mixture ignited by turbulent jets - Gang Li; Jincheng Li; Haisheng Zhen; Hu Wang; Mingfa Yao (Fuel, 2023)

Composition, metabolism and postharvest function and regulation of fruit cuticle: A review - Gang-Shuai Liu; Hong-Li Li; Zhen-Zhen Peng; Rui-Ling Liu; Yan-Chao Han; Yun-Xiang Wang; Xiao-Dan Zhao; Da-Qi Fu (Food Chemistry, 2023)

Mitochondria-targeted fluorescent probe with long wavelength emission for detecting H2S and its application in foodstuff, water and living cells - Ling Xie; Renjie Wang; Congbin Fan; Yayi Tu; Gang Liu; Shouzhi Pu (Food Chemistry, 2023)

Sodium alginate/chitosan-based intelligent bilayer film with antimicrobial activity for pork preservation and freshness monitoring - Shenghui Cao; Shuo Wang; Qingqing Wang; Gang Lin; Baolong Niu; Ruijie Guo; Hong Yan; Huifang Wang (Food Control, 2023)

Molecular characterization and expression analyses of five genes involved in the MyD88-dependent pathway of yellow catfish (Pelteobagrus fulvidraco) responding to challenge of Aeromonas hydrophila - Yujie Yuan; Zechao Shi; Qin Wang; Mengge Guo; Le Yuan; Zhangchun Zhao; Sixue Liu; Chen Wu; Ruhan Sun; Bingchao Wang; Gang Ouyang; Wei Ji (Fish & Shellfish Immunology, 2023)

Hydrophobic/oleophobic nanofibrous filter media with bead-on-string structure for efficient personal protection of dust in mines - Gang Zhou; Zhuo Xu; Guanshuang Chen; Rulin Liu; Yongmei Wang (Environmental Research, 2023)

Identification of coal and gangue based on R value method for dual-energy X-ray of Geant4 simulation - Junpeng Zhou; Yongcun Guo; Shuang Wang; Wei Chen; Gang Cheng (Environmental Research, 2023)

Full-scale push-out testing of headed stud-steel block connectors in prefabricated steel-concrete composite beams - Jiepeng Liu; Jincheng Xie; Gang Xiong; Xuanding Wang; Yunhe Zou; Rui Shu; Y. Frank Chen (Engineering Structures, 2023)

Dietary docosahexaenoic acid reduces fat deposition and alleviates liver damage induced by D-galactosamine and lipopolysaccharides in Nile tilapia (Oreochromis niloticus) - Yi-Chan Liu; Samwel Mchele Limbu; Jin-Gang Wang; Mai Wang; Li-Qiao Chen; Fang Qiao; Yuan Luo; Mei-Ling Zhang; Zhen-Yu Du (Comparative Biochemistry and Physiology Part C: Toxicology & Pharmacology, 2023)

CNT/copper hexacyanoferrate: A superior Faradic electrode for ammonium ion removal with stable performance and high capacity - Shiyong Wang; Zhihao Pan; Zhuo Li; Haohong Zhuang; Lin Zhao; Zhuolin Li; Yuhao Lei; Gang Wang (Chemical Engineering Journal, 2023)

A separation MOF with O/N active sites in nonpolar pore for One-step C2H4 purification from C2H6 or C3H6 mixtures - Yong-Zhi Li; Gang-Ding Wang; Rajamani Krishna; Qing Yin; Danyang Zhao; Jiqiu Qi; Yanwei Sui; Lei Hou (Chemical Engineering Journal, 2023)

Probing the deep brain: Enhanced multi-photon imaging by aggregation-induced emission luminogens via nanocrystallization - Zhourui Xu; Xiangquan Deng; Gang Feng; Wanjian Zhang; Yibin Zhang; Wenguang Zhang; Miaozhuang Fan; Mengni Hu; Chengbin Yang; Ming Ying; Yuanyuan Shen; Weixin Xie; et al. (Chemical Engineering Journal, 2023)

Functionalized graphitic carbon nitride based catalysts in solar-to-chemical conversion for hydrogen peroxide production - Chao Liang; Xue-Min Wang; Wei Liu; Hui-Yun Liu; Da-Wei Huang; Yuan-Zheng Zhang; Kai-Hang Zhang; Li-Sha Jiang; Yu-Yu Jia; Cheng-Gang Niu (Chemical Engineering Journal, 2023)

Achieving ultrahigh energy density and ultrahigh efficiency simultaneously via characteristic regulation of polar nanoregions - Leiyang Zhang; Mo Zhao; Yule Yang; Yang Li; Mingyang Tang; Dong Wang; Xiaoyong Wei; Gang Liu; Yan Yan; Li Jin (Chemical Engineering Journal, 2023)

Facile fabrication of a broad-spectrum starch/poly(α-l-lysine) hydrogel adsorbent with thermal/pH-sensitive IPN structure through simultaneous dual-click strategy - Chunwang Hu; Hongliang Wei; Bingyan Hua; Yaqi Zhang; Gang Wang; Tao Guo (Carbohydrate Polymers, 2023)

Association between nitrogen dioxide concentration and hypertension hospitalization: A multicenter time-series analysis in Xinxiang, China - Shi-qi Ge; Yong-bin Wang; Fei Lin; Run-ran Miao; Kai Zhang; Li Li; Hui-ge Guo; Qian Wang; Li Zhang; Zhi-gang Chen; Guo-an Zhao (Atmospheric Pollution Research, 2023)

Compound Probiotics Improve Body Growth Performance by Enhancing Intestinal Development of Broilers with Subclinical Necrotic Enteritis - Ning Sun; Yan Xue; Siyi Wei; Bangyuan Wu; Hesong Wang; Dong Zeng; Ying Zhao; Abdul Khalique; Kangcheng Pan; Yan Zeng; Gang Shu; Bo Jing; et al. (Probiotics and Antimicrobial Proteins, 2023)

Promotion of Egg Production Rate and Quality Using Limosilactobacillus oris BSLO 1801, a Potential Probiotic Screened from Feces of Laying Hens with Higher Egg Productive Performance - Zhiqiang Wan; Ning Sun; Min Luo; Baoxing Gan; Zhipeng Yao; Xi Cao; Hesong Wang; Kangcheng Pan; Gang Shu; Yan Zeng; Dong Zeng; Xueqin Ni (Probiotics and Antimicrobial Proteins, 2023)

Potato Processing Industry in China: Current Scenario, Future Trends and Global Impact - Zhao-jun Wang; Hong Liu; Fan-kui Zeng; Yan-chen Yang; Dan Xu; Yu-Ci Zhao; Xiao-feng Liu; Lovedeep Kaur; Gang Liu; Jaspreet Singh (Potato Research, 2023)

Combined analysis of potential distribution prediction and phenotypic data of Polygonatum sibiricum in China - Xinfei Zhang; Gang Li; Peng Gao; Guanghui Jiang; Qian Zhao; Junfeng Niu; Donghao Wang; Shiqiang Wang; Zhezhi Wang (Plant Ecology, 2023)

Human health ambient water quality criteria and risk assessment of pentachlorophenol in Poyang Lake Basin, China - Qianyun Xu; Shunhao Ai; Gang Ge; Xiaonan Wang; Ji Li; Xiangyun Gao; Shiqing Zhao; Zhengtao Liu (Environmental Geochemistry and Health, 2023)

Species Asynchrony and Large Trees Jointly Drive Community Stability in a Montane Subtropical Forest - Tianyang Zhou; Jiaxin Zhang; Yuanzhi Qin; Gang Zhou; Congrong Wang; Yaozhan Xu; Yanan Fei; Xiujuan Qiao; Mingxi Jiang (Ecosystems, 2023)

Experimental study on the movement law of overlying rock non-pillar coal overhead mining - Yong Li; Jing Zheng; Feng-nian Wang; Xin-gen Ma; Rui-xue Zhang; Ying-ying Sun; Jian-bin Yin; Zhi-gang Tao (Journal of Mountain Science, 2023)

Movement and deformation characteristics of overlying rock mass in deep coal seam - Yong Li; Jing Zheng; Feng-nian Wang; Chao-wen Hu; Fan Yang; Xin-gen Ma; Zhi-gang Tao (Journal of Mountain Science, 2023)

Imaging and detection of sulfite in acute liver injury with a novel quinoxaline-based fluorescent probe - Ze-Yang Hu; Xu-Yang Chen; Xue Yang; Ting Li; Yu-Shun Yang; Sheng-Jun Wang; Kai Wang; Zhi-Gang Hu (Analytica Chimica Acta, 2023)

Stiffness optimization method of locking unit for space manipulator based on plant root adaptive growth theory - Gang Wang; Yimeng Yao; Jingtian Wang; Xinyuan Wu; Weiye Huo; Yukun Wang; Qihui Zhang (Advances in Space Research, 2023)

Detection and characteristics analysis of the western subarctic front using the high-resolution SST product - Changyuan Chen; Chen Wang; Huimin Li; Denghui Hu; Gang Li; Xin Chen; Yijun He (Acta Oceanologica Sinica, 2023)

Effects of Inclination Angles on the Hydrodynamics of Knotless Net Panels in Currents - Gang Wang; Yong Cui; Changtao Guan; Pihai Gong; Rong Wan (Journal of Marine Science and Engineering, 2023)
Knotless nets have been extensively used in sea cages and offshore fish farms; the explicit illustrations of local flow patterns and subjected hydrodynamic loads have practical implications for the safe operations of aquaculture pens in open oceans. However, the effects of inclination angles of knotless nets on local flow patterns have not yet been fully discussed. In this paper, the effects of inclination angles on local time-averaged and instantaneous flow fields, velocity reductions and force coefficients are investigated using a k-ω shear stress transport-improved delayed detached eddy simulation (SST-IDDES) high-fidelity turbulence model. It is demonstrated that the inclination angles have dominant effects on the time-averaged velocity magnitudes around the net meshes. Secondly, the considerable flow interactions amongst the transverse and longitudinal net meshes, as well as cross-flow effects, are observed but weakened with the inclination angles. Thirdly, the profiles of velocity decelerations behind the net panels for 0∘–45∘ are not as trivial as those for 45∘–90∘. The associations between the embedded mechanism of subjected loads and pressure fields are established to analyse the current loads on nets in small inclination angles. The inclination angles are finally elaborated into the area-averaged velocity reduction and screen force models, then the improved characteristics are validated against the experimental data.

Underwater Object Detection Algorithm Based on Adding Channel and Spatial Fusion Attention Mechanism - Xingyao Wang; Gang Xue; Shuting Huang; Yanjun Liu (Journal of Marine Science and Engineering, 2023)
Underwater target detection is the foundation and guarantee for the autonomous operation of underwater vehicles and is one of the key technologies in marine exploration. Due to the complex and special underwater environment, the detection effect is poor, and the detection precision is not high. In this paper, YOLOv5 (You Only Look Once v5) is used as the overall structural framework of the target detection algorithm, and improvement is made on the basis of its detection precision in the underwater environment. Specifically, an attention mechanism (Channel and Spatial Fusion Attention, CSFA) that fuses the channel attention and spatial attention is proposed and added to the YOLOv5 network framework, enabling the network to focus on both the prominent features of the detected object and the spatial information of the detected object. The proposed method was tested on the underwater target detection dataset provided by the China Underwater Robot Professional Competition. The experimental detection precision (P) reached 85%, the recall (R) reached 82.2%, and the mean average precision (mAP) reached 87.5%. The effectiveness of the proposed method was verified, and its underwater target detection performance was better than that of ordinary models.

Storm Surge Inundation Modulated by Typhoon Intensities and Tracks: Simulations Using the Regional Ocean Modeling System (ROMS) - Gangri Qin; Zhen Fang; Shuyu Zhao; Yanjiahui Meng; Weiwei Sun; Gang Yang; Lihua Wang; Tian Feng (Journal of Marine Science and Engineering, 2023)
Storm surges are one of the most severe marine hazards, causing fatalities and devastating infrastructure. It is important to conduct research on storm surge hazards to achieve disaster avoidance and the protection of local populations. In this study, the Regional Ocean Modeling System (ROMS) was used to develop a framework to simulate the inundation (using the wet/dry method) of land in Ningbo, China during an extreme typhoon storm surge. The baseline simulation with the realistic typhoon intensity and track was well validated by meteorological and ocean tidal observations. Using reanalysis and an asymmetric typhoon wind field from the Holland model as atmospheric forcing, we presented different storm surge inundation scenarios regarding various intensities and tracks. The results revealed that typhoon storm surges are significantly affected by both the intensities and tracks of typhoons. Specifically, when Ningbo was located in the navigable semicircle, increasing the typhoon intensity not only resulted in the total inundation area of the whole study area from 108.57 km2 to 139.97 km2, but also led to significant negative storm surges in some sea areas. When Ningbo was exposed to the dangerous semicircle of the intensified typhoon, the storm surge along the coast of the Xiangshan Bay could exceed 4 m, amplifying the total inundation area to 245.41 km2. Thus, it was evident that the location of the impacted region within the typhoon’s wind field plays a critical role in determining the severity of the storm surge. These results provide valuable suggestions for storm surge disaster prevention and mitigation for local governments.

Effects of benthic fish and light regimes on water quality and the growth of Vallisneria natans with two sediment types - Hong Su; Wenhui Zheng; Mingfan Li; Chao Wang; Guanbao Fu; Ruijie Le; Gang Sun (Environmental Science and Pollution Research, 2023)

Late Carboniferous extension-related magmatism in the southwestern Alxa block of NW China: geochronology, geochemistry, and tectonic implications - Zeng-Zhen Wang; Xuan-Hua Chen; Wei-Cui Ding; Bing Li; Yi-Ping Zhang; Zhao-Gang Shao; Sheng-Lin Xu (International Geology Review, 2023)

Numerical and experimental investigations of hydrodynamics of a fully-enclosed pile-net aquaculture pen in regular waves - Yong Cui; Gang Wang; Chang-tao Guan (Frontiers in Marine Science, 2023)
Large-scale aquaculture pen is one of the essential modes of offshore aquaculture being explored in recent years. In contrast to cage farming, the advantages are more significant as the larger cultural space for fish swimming, the closer-to-nature environment, and the improved ecological quality of fish. As a novel offshore aquaculture structure, fully-enclosed pile-net aquaculture pens (FPAPs) are generally deployed in exposed oceans, where severe waves and currents are of great dominance. The hydrodynamic characteristics of FPAPs in offshore areas deserve further investigation. In this paper, the numerical model of a typical FPAP in waves is proposed based on the finite element method (FEM), then wave loads on and induced motion responses of the FPAP are analyzed. The results show that the maximum loads on the structure and the maximum displacement of piles are closely proportional to the wave height. Secondly, the maximum stress of nets decreases as the embedded depth increases, while the deformation of nets tends to rise with the increase of pile spacing. At last, several structural optimal patterns are given to improve the safety of pen facilities. This work has laid a solid scientific foundation for designs and optimizations of FPAPs in the future.

Experimental Study on Hydrodynamic Characteristics of Barge-Type Breakwaters under Different Mooring Methods - Xiaofei Cheng; Shimin Li; Gang Wang (Journal of Marine Science and Engineering, 2023)
In this paper, a yacht project in Tingjiang Town, Mawei, Fujian, is suggested as an example of a barge type breakwater made out of scrap barges. The physical modelling of a two-dimensional flume wave test was carried out on a barge-type breakwater, focusing on the wave dissipation and anchor chain forces under two different mooring methods, the “crossed tilt” mooring and the “front and rear direct pull” mooring, with no change in the size of the breakwater. The test results show that the effect of wave elimination of the barge-type breakwater gradually decreases with the increase of wave elements under different mooring conditions, but the effect of wave elimination of the barge-type breakwater is significantly better under the “crossed tilt” mooring systems than under the “front and rear direct pull” mooring systems; the maximum tension of the anchor chain under the “inner eight” diagonal mooring method is significantly higher than that under the front and rear straight pulling mooring method. The maximum anchor chain tension under the “crossed tilt” mooring system is significantly greater than that under the fore and aft straight mooring method, while the average anchor chain tension does not change significantly under the two mooring methods.

Reliability Analysis of the Deep-Sea Horizontal Clamp Connector Based on Multi-Source Information from an Engineering Background - Weifeng Liu; Feihong Yun; Gang Wang; Liquan Wang; Shaoming Yao (Journal of Marine Science and Engineering, 2023)
As a key piece of equipment in underwater production system, a reliability study of deep-sea connectors has important theoretical significance and engineering value for increasing fault-free operation time, improving engineering safety, and reducing maintenance costs. However, the diverse failure modes of connectors and the lack of high-quality and credible reliability data can lead to biased analysis outcomes. To tackle this problem, this study aims to establish a reliability model for deep-sea horizontal clamp connectors. Based on the actual engineering background, a fault tree model for deep-sea horizontal clamp connectors is developed, and the distribution types of bottom events are analyzed concerning the failure mechanism. To enhance the model’s credibility, a multi-source information approach is employed, combining prior product information, expert experience, and design information to quantitatively solve the reliability probability of the connector. The expert experience is quantified using the fuzzy quantitative analysis method, while the design information is estimated by developing a corrosion prediction model combined with grey theory. Thus, the reliability assessment of deep-sea horizontal clamp connectors is completed. Factory Acceptance Test (FAT) is performed on the improved connectors, and the closed-loop work of reliability analysis is completed.

Reconstructing Long-Term Arctic Sea Ice Freeboard, Thickness, and Volume Changes from Envisat, CryoSat-2, and ICESat-2 - Yanze Zhang; Nengfang Chao; Fupeng Li; Lianzhe Yue; Shuai Wang; Gang Chen; Zhengtao Wang; Nan Yu; Runzhi Sun; Guichong Ouyang (Journal of Marine Science and Engineering, 2023)
Satellite altimeters have been used to monitor Arctic sea ice (ASI) thickness for several decades, but whether the different altimeter missions (such as radar and laser altimeters) are in agreement with each other and suitable for long-term research needs to be investigated. To analyze the spatiotemporal characteristics of ASI, continuous long-term first-year ice, and multi-year ice of ASI freeboard, thickness, and volume from 2002 to 2021 using the gridded nadirization method from Envisat, CryoSat-2, and ICESat-2, altimeter data are comprehensively constructed and assessed. The influences of sea surface temperature (SST) and sea surface wind field (SSW) on ASI are also discussed. The freeboard/thickness and extent/area of ASI all varied seasonally and reached their maximum and minimum in April and October, March and September, respectively. From 2002 to 2021, the freeboard, thickness, extent, and area of ASI all consistently showed downward trends, and sea ice volume decreased by 5437 km3/month. SST in the Arctic rose by 0.003 degrees C/month, and the sea ice changes lagged behind this temperature variation by one month between 2002 and 2021. The meridional winds blowing from the central Arctic region along the eastern coast of Greenland to the North Atlantic each month are consistent with changes in the freeboard and thickness of ASI. SST and SSW are two of the most critical factors driving sea ice changes. This study provides new data and technical support for monitoring ASI and exploring its response mechanisms to climate change.

Hydrodynamic interactions between tide and runoff in the Luanhe Estuary in Bohai Sea, China: From aquaculture reclamation to restoration - Haijue Xu; Gang Wang; Zhe Huang; Yaqing Su; Yuchuan Bai; Jiabo Zhang (Ocean & Coastal Management, 2023)

Identification and quantification of IEPOX in ambient aerosols, using electron and chemical ionization sources GC/MS as their trimethylsilyl ethers, and using H-NMR - Li Li; Biao Chao; Wu Wang; Yina Luo; Lilin Wang; Lili Lin; Gang Yang; Jun Wu (Science of The Total Environment, 2023)

Short-chain fatty acid production and phosphorous recovery from waste activated sludge via anaerobic fermentation: A comparison of in-situ and ex-situ thiosulfate-assisted Fe2+/persulfate pretreatment - Boyi Cheng; Da Zhang; Qingshan Lin; Shihao Xi; Jie Ma; Feixiang Zan; Basanta Kumar Biswal; Zongping Wang; Gang Guo (Science of The Total Environment, 2023)

Prediction of pharmaceuticals removal in activated sludge system under different operational parameters using an extended ASM-PhACs model - Xiang Li; Shaoting Lei; Gang Wu; Qingmiao Yu; Ke Xu; Hongqiang Ren; Yanru Wang; Jinju Geng (Science of The Total Environment, 2023)

Global spin alignment of vector mesons and strong force fields in heavy-ion collisions - Jinhui Chen; Zuo-Tang Liang; Yu-Gang Ma; Qun Wang (Science Bulletin, 2023)

Bergamotane-type sesquiterpenes from the leaves and twigs of Illicium oligandrum and their anti-inflammatory activities - Wen-Rui Li; Jia-Ying Zhao; Mi Li; Xiao-Jing Wang; Guo-Zhu Su; Hai-Qiang Wang; Li Li; Guan-Hua Du; Ru-Bing Wang; Shuang-Gang Ma (Phytochemistry, 2023)

Control mechanism of a vortex control baffle for the horseshoe vortex around the sail of a DARPA SUBOFF model - Gang Liu; Zongrui Hao; Haiyan Bie; Yue Wang; Wanlong Ren; Zhili Hua (Ocean Engineering, 2023)

Late Pleistocene to Holocene facies architecture and sedimentary evolution of the Zhejiang coast, East China Sea - Jian Liu; Jiandong Qiu; Yoshiki Saito; Xin Zhang; Hong Wang; Feifei Wang; Lilei Chen; Gang Xu; Bin Chen; Meina Li; Yuhui An (Marine Geology, 2023)

Sediment recycling by continental subduction indicated by B-Hf-Pb-Nd isotopes from Miocene–Quaternary lavas in the northern margin of Tibet - Xiu-Zheng Zhang; Qiang Wang; Andrew C. Kerr; Gang-Jian Wei; Yue Qi; Ying Liu; Yu-Cheng Yang (Lithos, 2023)

Restoration of sedimentary environment and geochemical features of deep marine Longmaxi shale and its significance for shale gas: A case study of the Dingshan area in the Sichuan Basin, South China - Yue Feng; Xianming Xiao; Ping Gao; Enze Wang; Dongfeng Hu; Ruobing Liu; Gang Li; Chengang Lu (Marine and Petroleum Geology, 2023)

Heat-avoidance behavior associates with thermal sensitivity rather than tolerance in aphid assemblages - Xue Bai; Xue-Jing Wang; Chun-Sen Ma; Gang Ma (Journal of Thermal Biology, 2023)

The aging of farmers and its challenges for labor-intensive agriculture in China: A perspective on farmland transfer plans for farmers' retirement - Jianzhi Liu; Yangang Fang; Gang Wang; Bencheng Liu; Ruru Wang (Journal of Rural Studies, 2023)

Insight into dissolved organic nitrogen transformation and characteristics: Focus on printing and dyeing wastewater treatment process - Hong Chen; Kai Wang; Shuaiqi She; Xin Yu; Luying Yu; Gang Xue; Xiang Li (Journal of Hazardous Materials, 2023)

Electrochemical oxidation degradation of Rhodamine B dye on boron-doped diamond electrode: Input mode of power attenuation - Tao Xu; Lanyue Fu; Huiying Lu; Mengyuan Zhang; Wenlei Wang; Bonian Hu; Yihui Zhou; Gang Yu (Journal of Cleaner Production, 2023)

Waste recycling of antibiotic mycelial residue: The feasible harmless treatment and source control of antibiotic resistance - Xuesong Hui; Wenjun Fang; Gang Wang; Huiling Liu; Xiaohu Dai (Journal of Cleaner Production, 2023)

A lead-free flotation process for enriching wolframite with H2O2 and dithiocarbamate-hydroxamic acid - Jing Qi; Ying Wang; Sheng Liu; Gang Zhao; Wei Chen; Liu Yang; Guangyi Liu (Journal of Cleaner Production, 2023)

Efficient degradation of tetracycline over vacancy-modified Cu-doped Bi2O2S via peroxymonosulfate activation and photocatalysis - Yonglei Xing; Xiaojing Jiang; Lei Han; Xiaoyong Jin; Gang Ni; Yage Peng; Xiaojing Yong; Xin Wang (Journal of Cleaner Production, 2023)

Origin and tectonic implications of Paleocene high-Mg dioritic plutons in the Lhasa terrane, Qulong area, Tibet - Qiuding Du; Zhipeng Qin; Gangyang Zhang; Jian Wang; Gang Zhou; Yuan He (Journal of Asian Earth Sciences, 2023)

Sensitivity of atomization characteristic to operation conditions for air-assisted atomizers in snow-makers - Ruixiang Wang; Bowen Zhang; Rongji Xu; Meibo Xing; Hongjun Zhang; Hua Zhang; Gang Yan; Haifeng Wu (International Journal of Refrigeration, 2023)

Pore system of the multiple lithofacies reservoirs in unconventional lacustrine shale oil formation - Guanping Wang; Zhijun Jin; Guangxiang Liu; Ruyue Wang; Gang Zhao; Xuan Tang; Kouqi Liu; Qian Zhang (International Journal of Coal Geology, 2023)

Late Oligocene mountain building of the East Kunlun Shan in northeastern Tibet: Impact on the Cenozoic climate evolution in East Asia - Chaopeng Li; Dewen Zheng; Jingxing Yu; Renjie Zhou; Yizhou Wang; Jianzhang Pang; Ying Wang; Yuqi Hao; Yi-Gang Xu (Global and Planetary Change, 2023)

Improve stability and application of rice oil bodies via surface modification with ferulic acid, (-)-epicatechin, and phytic acid - Han Wang; Lu Chen; Shuang Wu; Weiping Jin; Wangyang Shen; Zhongze Hu; Wenjing Huang; Gang Liu (Food Chemistry, 2023)

Seismic damage characteristics and evaluation of aboveground-underground coupled structures - Gang Li; Han Zhang; Rui Wang; Zhi-Qian Dong; Ding-Hao Yu (Engineering Structures, 2023)

Dynamic evolution and decoupling analysis of agricultural nonpoint source pollution in Taihu Lake Basin during the urbanization process - Dongying Sun; Xiaoxu Wang; Mengling Yu; Zhaolin Ouyang; Gang Liu (Environmental Impact Assessment Review, 2023)

Synergistic Apoptosis-Ferroptosis: Oxaliplatin loaded amorphous iron oxide nanoparticles for High-efficiency therapy of orthotopic pancreatic cancer and CA19-9 levels decrease - Yilong Li; Xinlong Wang; Binbin Ding; Cong He; Can Zhang; Jiating Li; Haonian Wang; Zhibo Li; Gang Wang; Yongwei Wang; Hua Chen; Ping'an Ma; et al. (Chemical Engineering Journal, 2023)

TICT-based turn-on deep-red fluorescent probe for endoplasmic reticulum targeted detection of serum albumin in kidney diseases - Hongwei Wang; Jinling Wang; Gang Ma; Jianjian Zhou; Longjie Du; Hanli Wu; Xiaomeng Zhang; Yongrui He; Jin Zhou (Chemical Engineering Journal, 2023)

Unveiling the function and mechanism of the ordered alignment silver nanowires on boosting the electrochromic performance - Jieyuan Zheng; Yajie Zhao; Lirong Chen; Yang Zheng; Xingru Wang; Gang Xu; Xiudi Xiao (Chemical Engineering Journal, 2023)

Sequential self-assembly and self-coacervation actuate water-triggered robust bonding: From universal underwater adhesion to on-demand detachable bioadhesion - Manhua Zhou; Qingqing Luo; Jichang Li; Gang Yu; Junbo Peng; Yanxia Cao; Jianfeng Wang; Wanjie Wang; Yanyu Yang (Chemical Engineering Journal, 2023)

Aerobic composting with sauerkraut fermentation waste water: Increasing the stability and complexity of bacterial community and changing bacterial community assembly processes - Jie Kang; Gang Song; Xu Wang; Wei Qiu; Fangyi Pei; Hongzhi Ling; Wenxiang Ping; Jingping Ge (Bioresource Technology, 2023)

Biomarkers of aging - Hainan Bao; Jiani Cao; Mengting Chen; Min Chen; Wei Chen; Xiao Chen; Yanhao Chen; Yu Chen; Yutian Chen; Zhiyang Chen; Jagadish K. Chhetri; Yingjie Ding; et al. (Science China Life Sciences, 2023)

Prediction of potentially suitable distribution areas of Thesium chinense Turcz. in China against the background of climate change - Peng Gao; He Si; Qian Zhao; Gang Li; Xinfei Zhang; Minghao Guo; Shiqiang Wang; Junfeng Niu; Zhezhi Wang (Plant Ecology, 2023)

An Anterior Cingulate Cortex-to-Midbrain Projection Controls Chronic Itch in Mice - Ting-Ting Zhang; Su-Shan Guo; Hui-Ying Wang; Qi Jing; Xin Yi; Zi-Han Hu; Xin-Ren Yu; Tian-Le Xu; Ming-Gang Liu; Xuan Zhao (Neuroscience Bulletin, 2023)
Itch is an unpleasant sensation that provokes the desire to scratch. While acute itch serves as a protective system to warn the body of external irritating agents, chronic itch is a debilitating but poorly-treated clinical disease leading to repetitive scratching and skin lesions. However, the neural mechanisms underlying the pathophysiology of chronic itch remain mysterious. Here, we identified a cell type-dependent role of the anterior cingulate cortex (ACC) in controlling chronic itch-related excessive scratching behaviors in mice. Moreover, we delineated a neural circuit originating from excitatory neurons of the ACC to the ventral tegmental area (VTA) that was critically involved in chronic itch. Furthermore, we demonstrate that the ACC→VTA circuit also selectively modulated histaminergic acute itch. Finally, the ACC neurons were shown to predominantly innervate the non-dopaminergic neurons of the VTA. Taken together, our findings uncover a cortex–midbrain circuit for chronic itch-evoked scratching behaviors and shed novel insights on therapeutic intervention.

Whole genome evaluation analysis and preliminary Assembly of Oratosquilla oratoria (Stomatopoda: Squillidae) - Xiaoli Sun; Gang Wang; Jie Yang; Wei Yu; Jiayue Xu; Boping Tang; Ge Ding; Daizhen Zhang (Molecular Biology Reports, 2023)

Targeting of MALT1 May Improve Functional Recovery and Attenuate Microglia M1 Polarization-Mediated Neuroinflammation During Spinal Cord Injury - Qingping Zhang; Shitao Zhang; Hongquan Chen; Gang Chen; Chunhong Cui; Junxin Zhang; Weiming Wang; Qinghua Zhang; Shiwen Guo (Molecular Neurobiology, 2023)

Soil sulfur cycle bacteria and metabolites affected by soil depth and afforestation conditions in high-sulfur coal mining areas - Yi-wang Wang; Dong-sheng Bai; Xu Yang; Yu Zhang; Xue-gang Luo (Applied Soil Ecology, 2023)

Creep behavior of soil nails in the high-PI clay - Gang Bi; Tao Liu; Muwan Wang; Hongzhong Xu; Yijie Sun (Arabian Journal of Geosciences, 2023)

Sustainable Operations in Maritime Industry - Yuquan Du; Gang Chen; Shuaian Wang (Journal of Marine Science and Engineering, 2023)
Maritime transportation serves as the backbone of international trade and the global economy [...]

A Multi-Task Learning for Submarine Cable Magnetic Anomaly Recognition - Yutao Liu; Yuquan Wu; Lei Yang; Puzhi Zhou; Jianxun Kuang; Wenjie Yu; Jianqiang Wang; Zhe Xu; Gang Li (Journal of Marine Science and Engineering, 2023)
The recognition of submarine cable magnetic anomaly (SCMA) signals is a challenging task in magnetic signal data processing. In this study, a multi-task convolutional neural network (MTCNN) model is proposed to simultaneously recognize abnormal signals and locate abnormal regions. The residual block is added to the shared feature backbone to improve the ability of the network to extract high-level features and maintain the gradient stability of the model in the training process. The long short-term memory (LSTM) block is added to the classification branch task to learn the internal relationship of the magnetic anomaly time series, so as to improve the network’s ability to recognize magnetic anomalies. Our proposed model can accurately recognize the SCMA signals collected in the East China Sea and the South China Sea. The classification accuracy and the ability to locate the abnormal regions are close to the manual labeling of human analysts. The newly developed model can help analysts reduce the probability of missing and misjudging submarine cable magnetic anomalies, improve the efficiency and accuracy of interpretation, and could even be deployed to an unmanned platform to realize the automatic detection of SCMAs.

An EMD–PSO–LSSVM Hybrid Model for Significant Wave Height Prediction - Gang Tang; Jingyu Zhang; Jinman Lei; Haohao Du; Hongxia Luo; Yide Wang; Yuehua Ding (Journal of Marine Science and Engineering, 2023)
The accurate prediction of significant wave height (SWH) offers major safety improvements for coastal and ocean engineering applications. However, the significant wave height phenomenon is nonlinear and nonstationary, which makes any prediction work a non-straightforward task. The aim of the research presented in this paper is to improve the predicted significant wave height via a hybrid algorithm. Firstly, an empirical mode decomposition (EMD) is used to preprocess nonlinear data, which are decomposed into several elementary signals. Then, a least squares support vector machine (LSSVM) with nonlinear learning ability is adopted to predict the SWH, and a particle swarm optimization (PSO) automatically performs the parameter selection of the LSSVM modeling. The results show that the EMD–PSO–LSSVM model can compensate for the lag in the prediction timing of the prediction models. Furthermore, the prediction performance of the hybrid model has been greatly improved in the deep-sea area; the prediction accuracy of the coefficient of determination (R2) increases from 0.991, 0.982, and 0.959 to 0.993, 0.987, and 0.965, respectively. The prediction performance results show that the proposed EMD–PSO–LSSVM performs better than the EMD–LSSVM and LSSVM models. Therefore, the EMD–PSO–LSSVM model provides a valuable solution for the prediction of SWH.

A Semi-Analytical Method for the Sealing Performance Prediction of Subsea Pipeline Compression Connector - Zhenyu Li; Gang Wang; Shaoming Yao; Feihong Yun; Peng Jia; Chao Li; Liquan Wang (Journal of Marine Science and Engineering, 2023)
To predict the sealing performance of the subsea pipeline compression connector, a semi-analytical method is proposed and verified. The leakage condition is obtained as a function of the minimum radial deflection. The semi-analytical method consists of three parts: a macroscopic analytical model for the interference process deduced based on the membrane theory, a mesoscopic two-dimensional finite element analysis of the internally turned sealing surface according to scanning electron microscope observation, and a formulation of the leakage ratio according to the Abbott–Firestone curve. The influences of the geometry parameters are analyzed. The prediction and identification of the leakage condition near the minimum preloaded deflection are investigated. Experimental tests are also carried out to verify the proposed method. The results show that, within five times the pipeline threshold of the thin wall thickness, compression connectors designed by the proposed method can create a reliable seal with a rough internally turned surface, saving 57% of the design time while reducing the machining time and costs.

Alterations of physical properties and microstructure of marine diatomite owing to variation of diatom content - Yiqing Xu; Xianwei Zhang; Xinyu Liu; Gang Wang (Marine Georesources & Geotechnology, 2023)

Experiment and Simulation of the Shape and Stored Gas Characteristics of the Flexible Spherical Airbag for Underwater Compressed Air Energy Storage - Mingyao Liu; Ke Sun; Xudong Wang; Changbo Lu; Gang Ma; Kai Long (Journal of Marine Science and Engineering, 2023)
Underwater compressed air energy storage (UCAES) is an advanced technology used in marine energy systems. Most components, such as turbines, compressors, and thermal energy storage (TES), can be deployed on offshore platforms or on land. However, underwater gas-storage devices, which are deployed in deep water, have specific characteristics. Flexible inflatables have become a viable alternative for underwater compressed air energy storage (UCAES) as air storage devices. Few studies have been conducted on the characteristics of partially inflated structures during the inflating and deflating processes. A tank experiment of a 1 m model of an underwater spherical airbag was performed to investigate the characteristics of the deformed shape, pressure, and volume of the stored compressed air. A finite element (FE) simulation of an airbag model with the same dimensions was established in Abaqus/Explicit. The simulation under shallow testing conditions was in good agreement with the experimental results. Furthermore, studies on the performance of a 4 m airbag prototype with different water depths are presented. The results indicated that the shape variation was only related to the volume (inflation ratio). The pressure varied approximately linearly with the inflation ratio during the quasi-static process from an empty shape to a zero-pressure shape. The operating depth had a slight effect on the deformation. Because the scaling factor influences the pressure difference of the surface at the same height proportion, the larger the dimensions of the airbag, the higher the pressure difference will be.

Removal of antibiotic resistant bacteria and plasmid-encoded antibiotic resistance genes in water by ozonation and electro-peroxone process - Quan Zheng; Yinqiao Zhang; Qianxin; Zhang; Yujue Wang; Gang Yu (Chemosphere, 2023)

Application of aluminum oxide nanoparticles in asphalt cement toward non-polluted green environment using linear regression - Junfang Gou; Gang Wang; Haneen M. Al-Tamimi; Tamim Alkhalifah; Fahad Alturise; H. Elhosiny Ali (Chemosphere, 2023)

Nontarget screening based on molecular networking strategy to identify transformation products of citalopram and sertraline in wastewater - Gang Wu; Xuebing Wang; Xuxiang Zhang; Hongqiang Ren; Yanru Wang; Qingmiao Yu; Si Wei; Jinju Geng (Water Research, 2023)

Global analysis of gene expression profiles and gout symptoms in goslings infected with goose astrovirus - Chenggang Liu; Linlin Li; Jiawen Dong; Junqin Zhang; Yunzhen Huang; Qi Zhai; Yong Xiang; Jin Jin; Xianshe Huang; Gang Wang; Minhua Sun; Ming Liao (Veterinary Microbiology, 2023)