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Predicting torsional capacity of reinforced concrete members by data-driven machine learning models

Frontiers of Structural and Civil Engineering 2024年第3期18卷 444-460页

作者： Shenggang CHEN Congcong CHEN Shengyuan li Junying guo Quanquan guo Chaolai li School of Mechanics and Civil Engineering China University of Mining and TechnologyXuzhou 211116China Jiangsu Key Laboratory Environmental Impact and Structural Safety in Engineering China University of Mining and TechnologyXuzhou 211116China China Nuclear Power Design Co.Ltd. Shenzhen 518031China School of transportation and science engineering Beihang UniversityBeijing 100191China China Construction First Group Corporation limited Beijing 100161China

Due to the complicated three-dimensional behaviors and testing limitations of reinforced concrete(RC)members in torsion,torsional mechanism exploration and torsional performance prediction have always been *** the present paper,several machine learning models were applied to predict the torsional capacity of RC *** results of a total of 287 torsional specimens were collected through an overall literature *** of extreme gradient boosting machine(XGBM),random forest regression,back propagation artificial neural network and support vector machine,were trained and tested by 10-fold cross-validation *** performances of proposed machine learning models were evaluated and compared,both with each other and with the calculated results of existing design codes,i.e.,GB 50010,ACI 318-19,and Eurocode *** results demonstrated that better predictive performance was achieved by machine learning models,whereas GB 50010 slightly overestimated the torsional capacity,and ACI 318-19 and Eurocode 2 underestimated it,especially in the case of ACI *** XGBM model gave the most favorable predictions with R^(2)=0.999,RMSE=1.386,MAE=0.86,andλ=***,strength of concrete was the most sensitive input parameters affecting the reliability of the predictive model,followed by transverse-to-longitudinal reinforcement ratio and total reinforcement ratio.

关键词： RC members torsional capacity machine learning models design codes

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Cardiac energy metabolism disorder mediated by energy substrate imbalance and mitochondrial damage upon tebuconazole exposure

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Journal of Environmental Sciences 2024年第2期136卷 270-278页

作者： Tingting Ku Jindong Hu Mengmeng zhou Yuanyuan Xie Yutong liu Xin Tan lin guo Guangke li Nan Sang College of Environmental Science and Resources Research Center of Environment and HealthShanxi UniversityTaiyuan 030006China

Tebuconazole exposure has been described as an increasing hazard to human *** increasing number of recent studies have shown a positive association between tebuconazole exposure and cardiovascular disease risk,which is characterized by the reduction of adenosine triphosphate(ATP)***,researches on the damage of tebuconazole exposure to energy metabolism and the related molecular mechanisms are *** the present study,male C57BL/6 mice were treated with tebuconazole at different low concentrations for 4 *** results indicated that tebuconazole could accumulate in the heart and further induce the decrease of ATP content in the mouse ***,tebuconazole induced an obvious shift in substrate utilization of fatty acid and glucose by disrupting their corresponding transporters(GLUT1,GLUT4,CD36,FABP3 and FATP1)expression,and significantly repressed the expression of mitochondrial biogenesis(Gabpa and Tfam)and oxidative phosphorylation(CS,Ndufa4,Sdhb,Cox5a and Atp5b)related genes in a dosedependent *** investigation revealed that these alterations were related to the IRS1/AKT and PPARγ/RXRα*** findings contribute to a better understanding of triazole fungicide-induced cardiovascular disease by revealing the key indicators associated with this phenomenon.

关键词： Tebuconazole Cardiotoxicity Energy metabolic disorders Energy substrate Mitochondrial damage

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Machine learning for predicting fatigue properties of additively manufactured materials

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Chinese Journal of Aeronautics 2024年第4期37卷 1-22页

作者： Min YI Ming XUE Peihong CONG Yang SONG Haiyang ZHANG lingfeng WANG liucheng zhou Yinghong li Wanlin guo State Key Laboratory of Mechanics and Control for Aerospace Structures Nanjing University of Aeronautics and AstronauticsNanjing 210016China Institute for Frontier Science Nanjing University of Aeronautics and AstronauticsNanjing 210016China College of Aerospace Engineering Nanjing University of Aeronautics and AstronauticsNanjing 210016China Shenyang Engine Research Institute Shenyang 110015China liaoning Key Laboratory of Impact Dynamics on Aero Engine Shenyang 110015China Science and Technology on Plasma Dynamics Laboratory Air Force Engineering UniversityXi’an 710038China

Fatigue properties of materials by Additive Manufacturing(AM) depend on many factors such as AM processing parameter, microstructure, residual stress, surface roughness, porosities, post-treatments, etc. Their evaluation inevitably requires these factors combined as many as possible, thus resulting in low efficiency and high cost. In recent years, their assessment by leveraging the power of Machine Learning(ML) has gained increasing attentions. A comprehensive overview on the state-of-the-art progress of applying ML strategies to predict fatigue properties of AM materials, as well as their dependence on AM processing and post-processing parameters such as laser power, scanning speed, layer height, hatch distance, built direction, post-heat temperature,etc., were presented. A few attempts in employing Feedforward Neural Network(FNN), Convolutional Neural Network(CNN), Adaptive Network-Based Fuzzy Inference System(ANFIS), Support Vector Machine(SVM) and Random Forest(RF) to predict fatigue life and RF to predict fatigue crack growth rate are summarized. The ML models for predicting AM materials' fatigue properties are found intrinsically similar to the commonly used ones, but are modified to involve AM features. Finally, an outlook for challenges(i.e., small dataset, multifarious features,overfitting, low interpretability, and unable extension from AM material data to structure life) and potential solutions for the ML prediction of AM materials' fatigue properties is provided.

关键词： Additive manufacturing Machine learning Fatigue life Fatigue crack growth rate Prediction

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Wild Gibbon Optimization Algorithm

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Computers, Materials & Continua 2024年第7期80卷 1203-1233页

作者： Jia guo JinWang Ke Yan Qiankun Zuo Ruiheng li zhou He Dong Wang Yuji Sato Hubei Key Laboratory of Digital Finance Innovation Hubei University of EconomicsWuhan430205China School of Information Engineering Hubei University of EconomicsWuhan430205China China Construction Third Engineering Bureau Installation Engineering Co. Ltd.Wuhan430074China Hubei Internet Finance Information Engineering Technology Research Center Hubei University of EconomicsWuhan430205China College of Informatics Huazhong Agricultural UniversityWuhan430070China Faculty of Computer and Information Sciences Hosei UniversityTokyo184-8584Japan

Complex optimization problems hold broad significance across numerous fields and ***,as the dimensionality of such problems increases,issues like the curse of dimensionality and local optima trapping also *** address these challenges,this paper proposes a novel Wild Gibbon Optimization Algorithm(WGOA)based on an analysis of wild gibbon population *** two strategies:community search and community *** community search strategy facilitates information exchange between two gibbon families,generating multiple candidate solutions to enhance algorithm ***,the community competition strategy reselects leaders for the population after each iteration,thus enhancing algorithm *** assess the algorithm’s performance,CEC2017 and CEC2022 are chosen as test *** the CEC2017 test suite,WGOA secures first place in 10 *** the CEC2022 benchmark functions,WGOA obtained the first rank in 5 *** ultimate experimental findings demonstrate that theWildGibbonOptimization Algorithm outperforms others in tested *** underscores the strong robustness and stability of the gibbonalgorithm in tackling complex single-objective optimization problems.

关键词： Complex optimization wild gibbon optimization algorithm community search community competition

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Advances in the study of mitophagy in osteoarthritis

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Journal of Zhejiang University-Science B(Biomedicine & Biotechnology) 2024年第3期25卷 197-211页

作者： Hong CAO Xuchang zhou Bowen XU Han HU Jianming guo Miao WANG Nan li Jun ZOU Department of Sport Rehabilitation Shanghai University of SportShanghai 200438China National Key Laboratory of Immunity and Inflammation Naval Medical UniversityShanghai 200433China School of Sport Medicine and Rehabilitation Beijing Sport UniversityBeijing 100084China

Osteoarthritis(OA),characterized by cartilage degeneration,synovial inflammation,and subchondral bone remodeling,is among the most common musculoskeletal disorders globally in people over 60 years of *** initiation and progression of OA involves the abnormal metabolism of chondrocytes as an important pathogenic *** degeneration features mitochondrial dysfunction as one of the important causative factors of abnormal chondrocyte ***,maintaining mitochondrial homeostasis is an important strategy to mitigate *** is a vital process for autophagosomes to target,engulf,and remove damaged and dysfunctional mitochondria,thereby maintaining mitochondrial *** studies have revealed a strong association between mitophagy and OA,suggesting that the regulation of mitophagy may be a novel therapeutic direction for *** reviewing the literature on mitophagy and OA published in recent years,this paper elaborates the potential mechanism of mitophagy regulating OA,thus providing a theoretical basis for studies related to mitophagy to develop new treatment options for OA.

关键词： Mitophagy Osteoarthritis Chondrocyte Mitochondria Apoptosis

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Structural evolution and zero-field SMM behaviour in ferromagnetically-coupled disk-type Co_(7)clusters bearing exclusively end-on azido bridges

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Chinese Chemical Letters 2024年第8期35卷 567-571页

作者： Yijia Jiao Yuzhu li Yuting zhou Peipei Cen Yi Ding Yan guo Xiangyu liu State Key Laboratory of High-efficiency Utilization of Coal and Green Chemical Engineering College of Chemistry and Chemical EngineeringNingxia UniversityYinchuan 750021China College of Public Health College of Basic Medical ScienceNingxia Medical UniversityYinchuan 750021China

Concise chemistry leads to a family of heptanuclear Co^(Ⅱ)-clusters,[Co_(7)(N_(3))_(12)(CH_(3)CN)_(12)][Y_(2)(NO_(3))_(4)(piv)_(4)]·2CH_(3)CN(DC1)(pivH=pivalic acid),[Co_(7)(N_(3))_(12)(CH_(3)CN)_(10)(NO_(3))_(0.4)(Cl)_(1.6)]·4CH_(3)CN(DC2)and[Co_(7)(N_(3))_(12)(CH_(3)CN)_(10)(NO_(3))_(2)]·4CH_(3)CN(DC3),in which the metal ions are exclusively bridged by end-on azido ligands to stabilize a beautiful disk-like *** resulting clusters exhibit interesting structural transformations and thermodynamically-distinct steady states verified by theoretical *** studies reveal the first observation of zero-field SMM behaviour in disk-like heptanuclear Co^(Ⅱ)complexes.

关键词： Multinuclear Co^(Ⅱ)-clusters Disk-like motif Structural modulation Ferromagnetic coupling Zero-field SMM

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Hepatic steatosis is associated with dysregulated cholesterol metabolism and altered protein acetylation dynamics in chickens

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Journal of Animal Science and Biotechnology 2024年第1期15卷 53-67页

作者： Xiaoli guo Qianqian zhou Jiaming Jin Fangren Lan Chaoliang Wen Junying li Ning Yang Congjiao Sun National Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics Breeding and ReproductionMinistry of Agriculture and Rural AffairsChina Agricultural UniversityBeijing 100193China

Background Hepatic steatosis is a prevalent manifestation of fatty liver, that has detrimental effect on the health and productivity of laying hens, resulting in economic losses to the poultry industry. Here, we aimed to systematically investigate the genetic regulatory mechanisms of hepatic steatosis in laying *** Ninety individuals with the most prominent characteristics were selected from 686 laying hens according to the accumulation of lipid droplets in the liver, and were graded into three groups, including the control, mild hepatic steatosis and severe hepatic steatosis groups. A combination of transcriptome, proteome, acetylome and lipidome analyses, along with bioinformatics analysis were used to screen the key biological processes, modifications and lipids associated with hepatic *** The rationality of the hepatic steatosis grouping was verified through liver biochemical assays and RNA-seq. Hepatic steatosis was characterized by increased lipid deposition and multiple metabolic abnormalities. Integration of proteome and acetylome revealed that differentially expressed proteins(DEPs) interacted with differentially acetylated proteins(DAPs) and were involved in maintaining the metabolic balance in the liver. Acetylation alterations mainly occurred in the progression from mild to severe hepatic steatosis, i.e., the enzymes in the fatty acid oxidation and bile acid synthesis pathways were significantly less acetylated in severe hepatic steatosis group than that in mild group(P lipidomics detected a variety of sphingolipids(SPs) and glycerophospholipids(GPs) were negatively correlated with hepatic steatosis(r ≤-0.5, P < 0.05). Furthermore, the severity of hepatic steatosis was associated with a decrease in cholesterol and bile acid synthesis and an increase in exogenous cholesterol *** In addition to acquiring a global and thorough picture of hepatic steatosis in laying hens, we were able to reveal the role of ac

关键词： Acetylation Cholesterol metabolism Hepatic steatosis Laying hens Multiomics

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A Bifunctional-Blocker-Aided Hybridization Chain Reaction lighting-Up Self-calibrating Nanocluster Fluorescence for Reliable Nucleic Acid Detection

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Journal of Analysis and Testing 2024年第2期8卷 160-169页

作者： Dan Zhang guobao zhou Hongyan Yang Yi Wang lijun Shen Yuxuan Qiu Lei li Longhua guo College of Chemistry and Materials Science Zhejiang Normal UniversityJinhua321004China Jiaxing Key Laboratory of Molecular Recognition and Sensing College of BiologicalChemical Sciences and EngineeringJiaxing UniversityJiaxing314001China College of life Sciences and Medicine Zhejiang Sci-Tech UniversityHangzhou314000China

In this work,we proposed a ratiometric silver nanoclusters(AgNCs)fluorescent assay by designing a bifunctional-blockeraided hybridization chain reaction(HCR).Hairpin probe 1(HP1)containing two special DNA fragments(5′-CAC CGC T-3′and 5′-ATT TGC CTT TTG GGG ACG GATA-3′)at two terminals creates a red-emitting AgNC nucleation sequence(rNS,5′-CAC CGC TAT TTG CCT TTT GGG GAC GGATA-3′).We found that the presence of a toehold fragment(5′-TGCCC-3′)in HP1 could silence the *** the addition of a target nucleic acid,HCR of HP1 and hairpin probe 2(HP2)could be initiated,resulting in the formation of long chain of DNA duplexes with multibranched *** the toehold fragment in HP1participated in generating duplexes,a strong emission of rNS-templated AgNCs was observed at 670 *** significantly,a bifunctional blocker was introduced not only to reduce the background red-emitting fluorescence but also to play as an internal green-emitting AgNCs nucleation *** the one hand,the blocker could increase the signal-to-noise-ratio of the constructed biosensor,and on the other hand,the blocker also helped to prepare ratiometric HCR-AgNCs assay with self-calibrating ability to strengthen its *** with the traditional HCR-AgNCs sensors,the developed ratiometric assay based on the bifunctional-blocker-aided HCR has higher reliability,which is important for the fabrication of biosensors in various fields for practical biosensing applications.

关键词： Ratiometric fluorescence Hybridization chain reaction Silver nanocluster Biosensor Bifunctional blocker

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Phlorizin alleviates deltamethrin-induced oxidative stress in brine shrimp Artemia

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Journal of Oceanology and limnology 2024年第1期42卷 163-173页

作者： Dandan MA Qingli zhou liying SUI Qingbin guo Huanhuan liU Honghe liANG Zhenjing li Zhongna SANG School of Food Science and Engineering Tianjin University of Science and TechnologyTianjin 300457China Asian Regional Artemia Reference Center Key Laboratory of Marine Resource Chemistry and Food Technology(TUST)Ministry of EducationTianjin University of Science and TechnologyTianjin 300457China Subtropical Crops Research Institute of Guangxi Zhuang Autonomous Region Nanning 530001China Department of Nutrition and Food Hygiene School of Public HealthTianjin Medical UniversityTianjin 300070China

Deltamethrin(DEL),a commonly used pyrethroid pesticide,results in higher reactive oxygen species(ROS)levels in aquatic animals,which consequently unbalance the redox ***(PHL)is a flavonoid and a natural product promising to prevent or reduce pesticide-induced oxidative *** is a micro-crustacean widely used in marine hatcheries and an experimental aquatic organism for environmental toxicology *** research aimed to evaluate the toxicity of DEL on Artemia and the antioxidative effect of PHL against the *** show that 0.08-mg/mL PHL exerted its antioxidative effects on hatching percentage of the cysts in 24-h incubation and on body length and survival rate of Artemia in 12-d *** 12-d culture,12-,24-,and 36-h DEL exposure showed significant drops in SOD,CAT,and GSH-Px enzyme activities,and significant increases in ROS and malondialdehyde(MDA)levels in Artemia(Plication improved the enzyme activities and decreased the ROS and MDA levels(Pling *** study provided a theoretical basis for PHL to reduce pesticide-induced toxicity in aquatic animals.

关键词： Artemia deltamethrin phlorizin oxidative stress

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Alterations in Serum lipids and lipoproteins Induced by Neoadjuvant Chemotherapy in Patients with Osteosarcoma around the Knee Joint:A Retrospective Analysis

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当代医学科学（英文） 2024年第4期44卷 741-747页

作者： Su-guo WANG Yong-gang WANG guo-wei QIAN li-na TANG Xin zhou Dong-dong CHENG Chen-liang zhou Qing-cheng YANG Zan SHEN Gao-zhong HUANG Hong-tao li Department of General Medicine Shenzhen Third People's Hospital Shenzhen 518112China Department of VIP Clinic Shanghai Jiao Tong University Affiliated Sixth People's HospitalShanghai 200233China Department of Oncology Shanghai Jiao Tong University Affiliated Sixth People's HospitalShanghai 200233China Cancer Research Institute of Jilin University the First Hospital of Jilin UniversityChangchun 130021China Department of Orthopedics Shanghai Jiao Tong University Affiliated Sixth People's HospitalShanghai 200233China Department of VIP Clinic Shanghai Jiao Tong University Affiliated Sixth People's HospitalShanghai 200233China

Objective:To investigate the serum lipid profiles of patients with localized osteosarcoma around the knee joint before and after neoadjuvant ***:After retrospectively screening the data of 742 patients between January 2007 and July 2020,50 patients aged 13 to 39 years with Enneking stage Ⅱ disease were included in the *** lipid levels,including total cholesterol(TC),triglycerides(TG),high-density lipoprotein cholesterol(HDL-C),low-density lipoprotein cholesterol(LDL-C),lipoprotein-α[Lp(a)],and apolipoprotein Al,B,and E(ApoA1,ApoB,and ApoE),and clinicopathological characteristics were collected before and after neoadjuvant ***:The mean levels of TC,TG,and ApoB were significantly increased following neoadjuvant chemotherapy(16％,38％,and 20％,respectively,*** values;P＜0.01).The mean levels of LDL-C and ApoE were also 19％and 16％higher,respectively(P＜0.05).No correlation was found between the pretreatment lipid profile and the histologic response to *** increase in Lp(a)was strongly correlated with the Ki-67 index(R=0.31,P=0.023).Moreover,a trend toward longer disease-free survival(DFS)was observed in patients with decreased TG and increased LDL-C following chemotherapy,although this difference was not statistically significant(P=0.23 and P=0.24,respectively).Conclusion:Significant elevations in serum lipids were observed after neoadjuvant chemotherapy in patients with localized *** was no prognostic significance of pretreatment serum lipid levels on histologic response to neoadjuvant *** scale of increase in serum Lp(a)might have a potential prognostic role in *** with increased LDL-C or reduced TG after chemotherapy seem to exhibit a trend toward favorable DFS.

关键词： neoadjuvant chemotherapy osteosarcoma serum lipids

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