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Ferulic acid alleviates long-term avermectin-induced damage to the spleen of carp and restores its inflammatory response and oxidative balance

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Journal of environmental Sciences 2025年第5期151卷 616-626页

作者： Hanyu Wang Shenye Feng Enzhuang Pan Xiaomeng Ji Mengyuan Zhou Shuai Zhang Baoshi Xu Huimiao Feng Jilei Yin Zibo Dong jiangsu Key Laboratory of marine Bioresources and environment Co-Innovation Center of Jiangsu Marine Bio-industry TechnologyJiangsu Marine Pharmaceutical Resources Development Engineering Research CenterJiangsu Key Laboratory of Marine Pharmaceutical Compound ScreeningCollege of PharmacyJiangsu Ocean UniversityLianyungang 222005China Department of Traditional Chinese Medicine Jiangsu Union Technical Institute Lianyungang Branch institute of Traditional Chinese MedicineLianyungang 222006China

Extensive use of avermectin(AVM)in agriculture can seriously contaminate fish in *** acid(FA)is a strong antioxidant sourced from plants and is widely applied in food and medicine,but its protective function on the immunological damage caused by AVM is still *** this study,carp were chronically exposed to(1/1096 hr LC_(50))AVM for 30 day(s),with a dietary supplement of FA(400 mg/kg)to assess its effects on carp *** experimental groups(n=10)included:control,AVM-exposed(2.404μg/L),FA+AVM co-treated,and FA ***-term AVM exposure altered spleen tissue,reducing serum complement C3(p<0.01)and immunoglobulin M levels(p<0.001),and increasing proinflammatory tnf-α(p<0.001),il-6(p<0.001),il-1β(p<0.001),and inos mRNA levels,whilst down-regulating the anti-inflammatory tgf-β(p<0.05).Additionally,it disrupted the balance of oxidative stress indicators such asMDA(p<0.001),T-AOC,GSH,and CAT,leading to spleen tissue apoptosis(42.4%).However,the addition of FA reversed these conditions,elevated the anti-inflammatory factor,and improved spleen immune function following chronic exposure to AVMin ***,the ability to restore oxidative homeostasis in carp by adjusting the Nrf2/NQO-1 axis protected the health of spleen *** discovery also supports the development of fish feed for aquaculture.

关键词： Avermectin Ferulic acid Oxidative stress Inflammation response

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17α-methyltestosterone induced hepatocyte apoptosis through endoplasmic reticulum stress in Takifugu fasciatus

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Journal of Oceanology and Limnology 2025年第1期43卷 219-231页

作者： Xuanyin CHEN Sheng LUO Yanfang LI Rui LI Xiaojun LI Zhengyang HU Shaowu YIN Tao WANG College of marine Science and engineering Jiangsu Province Engineering Research Center for Aquatic Animals Breeding and Green Efficient Aquacultural TechnologyNanjing Normal UniversityNanjing 210023China Co-Innovation center for marine Bio-Industry technology of jiangsu Province Lianyungang 222005China

17α-methyltestosterone(17α-MT)is an emerging pollutant,which is harmful to the endocrine system and reproduction of *** investigated the effects of different concentrations of 17α-MT(0,5,30,60,and 100 mg/kg)on endoplasmic reticulum stress(ERS)and apoptosis in the liver of Takifugu *** show that:(1)with the increase of 17α-MT treatment concentration,liver transaminases(alanine aminotransferase;aspartate aminotransferase)and the mRNA expression of ERS marker genes(glucose-regulated protein 78;calreticulin)of *** were significantly increased compared with the control group(Penvironmental androgens.

关键词： 17α-methyltestosterone Takifugu fasciatus liver endoplasmic reticulum stress apoptosis

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Innovative dual-mode device integrating capacitive desalination and solar vapor generation for high-efficiency seawater desalination

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Journal of Energy Chemistry 2025年第1期100卷 171-179页

作者： Jiacheng Wang Zhaoyu Chen Ruduan Yuan Jiaxin Luo Ben Zhang Keju Ji Meng Li Juanxiu Xiao Kuan Sun National Innovation center for Industry-Education Integration of Energy Storage technology MOE Key Laboratory of Low-grade Energy Utilization Technologies and SystemsCollege of Energy&Power EngineeringChongqing UniversityChongqing 400044China Xuefeng Mountain Energy Equipment Safety National Observation and research Station CQU-NUS Renewable Energy Materials&Devices Joint LaboratoryChongqing UniversityChongqing 400044China Southwest technology and engineering research Institute Chongqing 400039China jiangsu Provincial Key Laboratory of Bionic Functional Materials College of Mechanical and Electrical EngineeringNanjing University of Aeronautics and AstronauticsNanjing 210016JiangsuChina State Key Laboratory of marine Resources Utilization in South China Sea Collaborative Innovation Center of Marine Science and TechnologySchool of Marine Science and EngineeringHainan UniversityHaikou 570228HainanChina

Solar-driven interface evaporation with high solar-to-steam conversion efficiency has shown great potential in seawater ***,due to the influence of latent heat and condensation efficiency,the water yield from solar-driven interface evaporation remains insufficient,posing a significant challenge that requires *** this work,we designed a dual-mode high-flux seawater desalination device that combines solar-driven interface evaporation and capacitive *** utilizing coupled desalination materials exhibiting both photothermal conversion and capacitance activity,the device demonstrated photothermal evaporation rates of 1.41 and 0.97 kg m^(-2)h^(-1)for condensate water yield under one-sun ***,the device exhibited a salt adsorption capacity of up to48 mg g^(-1)and a salt adsorption rate of 2.1 mg g^(-1)*** addition,the salt adsorption capacity increased by approximately 32%under one-sun ***,photo-enhanced capacitive desalination performance was explored through numerical simulations and theoretical *** calculations and characterizations confirmed that the defect energy levels formed by the introduction of sulfur vacancies can effectively widen the light absorption range,improve photothermal conversion performance,and stimulate more photoelectrons to participate in capacitive ***,the electron distribution state of molybdenum disulfide with sulfur vacancies and surface defect sites contributes to ion/electron transport at the solid-liquid *** work provides a novel pathway for integrating solar vapor generation with other low-energy desalination technologies.

关键词： Capacitive deionization Solar vapor generation Molybdenum disulfide Defect engineering

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Multi-Method Comprehensive Investigation and Evaluation on the Effect of in-situ engineering Disposal of Contaminated Mine Water

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Journal of Ocean University of China 2025年第1期24卷 75-84页

作者： DING Guantao LU Jie SHI Xinyu WANG Faming MA Yongyue LIU Yuxiang WEI Shanming WANG Yu GUO Xiujun Key Laboratory of Shandong Provincial for marine environment and Geological engineering Ocean University of ChinaQingdao 266100China Key Laboratory of marine environment and Ecology Ministry of EducationOcean University of ChinaQingdao 266100China 801 Institute of Hydrogeology and engineering Geology Shandong Provincial Bureau of Geology&Mineral ResourcesJinan 250014China Shandong engineering research center for environmental Protection and Remediation on Groundwater Jinan 250014China Zhangqiu Branch of Jinan Ecological environment Bureau Jinan 250200China Solid Waste and Chemicals Management center Ministry of Ecology and environment Beijing 100012China

Mine water pollution caused by improper discharge of industrial wastewater,waste liquid and waste residue into minedout areas is a new form of pollution occurred in China in recent *** kind of pollution is buried deeply,and it is difficult to control,dispose and *** contaminated mine water from abandoned mining areas may even enter the ocean,posing a great threat to marine *** this study,using a water pollution incident occurred in a coal field at a depth of 80 m in Shandong Province,China,in 2015,as an example,the methods of engineering block disposal and groundwater remediation are reported,and the remediation effects are tested and evaluated by in-situ chemical detection and geophysical *** test results showed that engineering blocking measures such as cut-off walls can obviously block the DNAPL diffusion process in mine water,but the blocking effect on organic pollutants dissolved in water was *** can slow down the diffusion process of organic *** presence of mining tunnels and mined-out areas in the contaminated zone enhances the diffusion speed of various pollutants,especially during the remediation process when pollutants rapidly spread throughout the entire contaminated *** circulation extraction and oxidation methods have a significant degradation effect on pollutants like dichloromethane,but they may generate a large amount of secondary gaseous *** gaseous pollutants may migrate to the shallow subsurface through structures such as faults,leading to secondary subsurface *** designing remediation plans,it is crucial to strike a balance between blocking and guiding in the context of both blocking and restoration projects for achieving effective remediation.

关键词： deep stratum goaf organic pollution of groundwater engineering disposal effect evaluation

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Monotropein Alleviates Sepsis-induced Spleen Injury by Inhibiting the NF-κB/NLRP3 Axis and Activating the Nrf2 Pathway

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Biomedical and environmental Sciences 2025年第2期38卷 270-276页

作者： Le Bian Feibiao Wang Yue Yang Kunmei Xie Tingzhaoyun Hu Jiadai Tang Lei Wang Zibo Dong jiangsu marine Pharmaceutical Resources Development engineering research center Jiangsu Key Laboratory of Marine Pharmaceutical Compound ScreeningCollege of PharmacyJiangsu Ocean UniversityLianyungang 222005JiangsuChina Central Laboratory The Affiliated Lianyungang Hospital of Xuzhou Medical University(The First People’s Hospital of Lianyungang)Lianyungang 222000JiangsuChina

Sepsis is an inflammatory disease resulting from a dysregulated host response to infection that may lead to multiple organ failure and is commonly observed in patients with severe trauma or infectious *** has become a major global public health issue due to its high incidence and *** not only causes an excessive inflammatory response,but also leads to immune system dysfunction[1].

关键词： Sepsis Nrf2 trauma

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Application of the improved dung beetle optimizer,muti-head attention and hybrid deep learning algorithms to groundwater depth prediction in the Ningxia area,China

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Atmospheric and Oceanic Science Letters 2025年第1期18卷 18-23页

作者： Jiarui Cai Bo Sun Huijun Wang Yi Zheng Siyu Zhou Huixin Li Yanyan Huang Peishu Zong Collaborative Innovation center on forecast and Evaluation of Meteorological Disasters/Key Laboratory of Meteorological Disaster Ministry of Education/Joint International Research Laboratory of Climate and Environment ChangeNanjing University of Information Science and TechnologyNanjingChina Southern marine Science and engineering Guangdong Laboratory(Zhuhai) ZhuhaiChina China Meteorological Administration Key Laboratory of Transportation MeteorologyNanjingChina jiangsu Meteorological Observatory NanjingChina

Due to the lack of accurate data and complex parameterization,the prediction of groundwater depth is a chal-lenge for numerical *** learning can effectively solve this issue and has been proven useful in the prediction of groundwater depth in many *** this study,two new models are applied to the prediction of groundwater depth in the Ningxia area,*** two models combine the improved dung beetle optimizer(DBO)algorithm with two deep learning models:The Multi-head Attention-Convolution Neural Network-Long Short Term Memory networks(MH-CNN-LSTM)and the Multi-head Attention-Convolution Neural Network-Gated Recurrent Unit(MH-CNN-GRU).The models with DBO show better prediction performance,with larger R(correlation coefficient),RPD(residual prediction deviation),and lower RMSE(root-mean-square error).Com-pared with the models with the original DBO,the R and RPD of models with the improved DBO increase by over 1.5%,and the RMSE decreases by over 1.8%,indicating better prediction *** addition,compared with the multiple linear regression model,a traditional statistical model,deep learning models have better prediction performance.

关键词： Groundwater depth Multi-head attention Improved dung beetle optimizer CNN-LSTM CNN-GRU Ningxia

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A Helmet detection Algorithm Based on Transformers with Deformable Attention Module

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Chinese Journal of Electronics 2025年第1期34卷 229-241页

作者： Songle Chen Hongbo Sun Yuxin Wu Lei Shang Xiukai Ruan engineering research center of Post Big Data technology and Application of jiangsu Province Nanjing University of Posts and Telecommunications State Key Lab for Novel Software technology Nanjing University Institute of Intelligent Locks Wenzhou University

Wearing a helmet is one of the effective measures to protect workers' safety. To address the challenges of severe occlusion, multi-scale, and small target issues in helmet detection, this paper proposes a helmet detection algorithm based on deformable attention transformers. The main contributions of this paper are as follows. A compact end-to-end network architecture for safety helmet detection based on transformers is proposed. It cancels the computationally intensive transformer encoder module in the existing detection transformer(DETR) and uses the transformer decoder module directly on the output of feature extraction for query decoding, which effectively improves the efficiency of helmet detection. A novel feature extraction network named Swin transformer with deformable attention module(DSwin transformer) is proposed. By sparse cross-window attention, it enhances the contextual awareness of multi-scale features extracted by Swin transformer, and keeps high computational efficiency simultaneously. The proposed method generates the query reference points and query embeddings based on the joint prediction probabilities, and selects an appropriate number of decoding feature maps and sparse sampling points for query decoding, which further enhance the inference capability and processing speed. On the benchmark safety-helmet-wearing-dataset(SHWD), the proposed method achieves the average detection accuracy mAP@0.5 of 95.4% with 133.35G floating-point operations per second(FLOPs) and 20 frames per second(FPS), the state-of-the-art method for safety helmet detection.

关键词： Head Accuracy Network architecture Benchmark testing Transformers Feature extraction Safety Decoding Computational efficiency detection algorithms

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A single-pixel elemental imaging method using neutron-induced gamma-ray activation

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Nuclear Science and Techniques 2025年第1期36卷 1-12页

作者： Can Cheng Yong-Ji Xie Xun-Rong Xia Jia-Yu Gu Dong Zhao Yi-Ze Chen Ai-Yun Sun Xu-Wen Liang Wen-Bao Jia Da-Qian Hei Department of Ionizing Radiation and Medical engineering Jiangsu Institute of MetrologyNanjing 210023China Institute of Nuclear Analytical technology Nanjing University of Aeronautics and AstronauticsNanjing 211106China China Nuclear Power engineering Co. LtdBeijing 100840China School of Nuclear Science and technology Lanzhou UniversityLanzhou 730000China

Neutron-induced gamma-ray imaging is a spectroscopic technique that uses characteristic gamma rays to infer the elemental distribution of an ***,this technique requires the use of large facilities to supply a high neutron flux and a time-consuming detection procedure involving direct collimating *** this study,a new method based on low neutron flux was proposed.A single-pixel gamma-ray detector combined with random pattern gamma-ray masks was used to measure the characteristic gamma rays emitted from the *** of the elemental distribution in the sample,comprising 30×30 pixels,were reconstructed using the maximum-likelihood expectation-maximization *** results demonstrate that the elemental imaging of the sample can be accurately determined using this *** proposed approach,which eliminates the need for high neutron flux and scanning measurements,can be used for in-field imaging applications.

关键词： Elemental imaging Neutron-induced gamma-ray activation Single-pixel imaging

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A 2-dicyanomethylene-3-cyano-4,5,5-trimethyl-2,5-dihydrofuran-based near-infrared fluorescence probe for the detection of hydrogen sulfide and imaging of living cells

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无机化学学报 2025年第3期41卷 540-548页

作者： ZHANG Linfang YIN Wenzhu YIN Gui School of Chemistry and Chemical engineering Yili Normal UniversityYiningXinjiang 835000China Institute of Veterinary Immunology&engineering National Research Center of Engineering and Technology for Veterinary BiologicalsJiangsu Academy of Agricultural SciencesNanjing 210014China State Key Laboratory of Analytical Chemistry for Life Science School of Chemistry and Chemical EngineeringNanjing UniversityNanjing 210023China

Using 2-dicyanomethylene-3-cyano-4,5,5-trimethyl-2,5-dihydrofuran(TCF)as a near-infrared fluorescent chromophore,we designed and synthesized a TCF-based fluorescent probe TCF-NS by introducing 2,4-dinitrophenyl ether as the recognized site for H_(2)*** probe TCF-NS displayed a rapid-response fluorescent against H_(2)S with high sensitivity and selection but had no significant fluorescence response to other ***,TCF-NS was applied to sense H_(2)S in living cells successfully with minimized cytotoxicity and a large Stokes shift.

关键词： hydrogen sulfide near⁃infrared fluorescence probe cell imaging

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Lightweight Underwater Target detection Using YOLOv8 with Multi-Scale Cross-Channel Attention

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Computers, Materials & Continua 2025年第1期82卷 713-727页

作者： Xueyan Ding Xiyu Chen Jiaxin Wang Jianxin Zhang School of Computer Science and engineering Dalian Minzu UniversityDalian116600China research center of Multimodal Information Perception and Intelligent Processing Dalian Minzu UniversityDalian116600China

Underwater target detection is extensively applied in domains such as underwater search and rescue,environmental monitoring,and marine resource *** is crucial in enabling autonomous underwater robot operations and promoting ocean ***,low imaging quality,harsh underwater environments,and obscured objects considerably increase the difficulty of detecting underwater targets,making it difficult for current detection methods to achieve optimal *** order to enhance underwater object perception and improve target detection precision,we propose a lightweight underwater target detection method using You Only Look Once(YOLO)v8 with multi-scale cross-channel attention(MSCCA),named *** the proposed multiscale cross-channel attention module,multi-scale attention(MSA)augments the variety of attentional perception by extracting information from innately diverse sensory *** cross-channel strategy utilizes RepVGGbased channel shuffling(RCS)and one-shot aggregation(OSA)to rearrange feature map channels according to specific *** aggregates all features only once in the final feature mapping,resulting in the extraction of more comprehensive and valuable feature *** experimental results show that the proposed YOLOv8-UOD achieves a mAP50 of 95.67%and FLOPs of 23.8 G on the Underwater Robot Picking Contest 2017(URPC2017)dataset,outperforming other methods in terms of detection precision and computational cost-efficiency.

关键词： Deep learning underwater target detection attention mechanism

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