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Establishing and clinically validating a machine learning model for predicting unplanned reoperation risk in colorectal cancer

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World Journal of Gastroenterology 2024年第23期30卷 2991-3004页

作者： Li-Qun Cai Da-Qing Yang rong-jian Wang He Huang Yi-Xiong Shi Department of Colorectal and Anal Surgery Whenzhou Central HospitalWenzhou 325000Zhejiang ProvinceChina Department of Colorectal and Anorectal Surgery The First Affiliated Hospital of Wenzhou Medical UniversityWenzhou 325000Zhejiang ProvinceChina

BACKGROUND Colorectal cancer significantly impacts global health,with unplanned reoperations post-surgery being key determinants of patient *** predictive models for these reoperations lack precision in integrating complex clinical *** To develop and validate a machine learning model for predicting unplanned reoperation risk in colorectal cancer *** Data of patients treated for colorectal cancer(n=2044)at the First Affiliated Hospital of Wenzhou Medical University and Wenzhou Central Hospital from March 2020 to March 2022 were retrospectively *** were divided into an experimental group(n=60)and a control group(n=1984)according to unplanned reoperation *** were also divided into a training group and a validation group(7:3 ratio).We used three different machine learning methods to screen characteristic variables.A nomogram was created based on multifactor logistic regression,and the model performance was assessed using receiver operating characteristic curve,calibration curve,Hosmer-Lemeshow test,and decision curve *** risk scores of the two groups were calculated and compared to validate the *** More patients in the experimental group were≥60 years old,male,and had a history of hypertension,laparotomy,and hypoproteinemia,compared to the control *** logistic regression analysis confirmed the following as independent risk factors for unplanned reoperation(P<0.05):Prognostic Nutritional Index value,history of laparotomy,hypertension,or stroke,hypoproteinemia,age,tumor-node-metastasis staging,surgical time,gender,and American Society of Anesthesiologists *** operating characteristic curve analysis showed that the model had good discrimination and clinical *** This study used a machine learning approach to build a model that accurately predicts the risk of postoperative unplanned reoperation in patients with colorectal cancer,which can improve tr

关键词： Colorectal cancer Postoperative unplanned reoperation Unplanned reoperation Clinical validation Nomogram Machine learning models

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Improving mathematical model of burden distribution and correcting chute angle to cope with fluctuation of stock line

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Journal of Iron and Steel Research International 2024年第2期31卷 342-356页

作者： jian-sheng Chen Wen-guo Liu Hao Guo Wang Ding Qing-guo Xue Jing-song Wang Hai-bin Zuo State Key Laboratory of Advanced Metallurgy University of Science and Technology BeijingBeijing100083China MCC Capital Engineering&Research Incorporation Limited Beijing100176China Hunan Valin Xiangtan Iron and Steel Co. Ltd.Xiangtan411101HunanChina

Accurate evaluations of the burden distribution are of critical importance to stabilize the operation of blast *** mathematical model and discrete element method(DEM)are two attractive methods for predicting burden *** on DEM,the initial velocities of the pellet,sinter,and coke were calculated,and the velocity attenuations of the above three particles between the burden and the chute were *** initial velocity and velocity attenuation were applied to a mathematical model for improving the ***,based on the improved model,a scheme for rectifying the chute angles was proposed to address the fluctuation of the stock line and maintain a stable burden *** validity of the scheme was confirmed via a stable burden distribution under different stock *** mathematical model has been successfully applied to evaluate the online burden distribution and cope with the fluctuation of the stock line.

关键词： Burden distribution Mathematical model Discrete element method Velocity attenuation Stock line fluctuation

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Sampling efficiency of a polyurethane foam air sampler:Effect of temperature

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Environmental Science and Ecotechnology 2024年第2期18卷 43-52页

作者： Qiu-Liang Cai Cen-Yan Huang Lei Tong Ning Zhong Xiao-rong Dai jian-rong Li Jie Zheng Meng-Meng He Hang Xiao Key Laboratory of Urban Environment and Health Ningbo Observation and Research StationInstitute of Urban EnvironmentChinese Academy of SciencesXiamen361021China Key Laboratory of Ecological Environment Analysis and Pollution Control in Western Guangxi Region College of Agriculture and Food EngineeringBaise UniversityBaise533000China College of Biological and Environmental Sciences Zhejiang Wanli UniversityNingbo315100China Zhejiang Key Laboratory of Urban Environmental Processes and Pollution Control CAS Haixi Industrial Technology Innovation Center in BeilunNingbo315830China Minnan Normal University Zhangzhou363000China

Effective monitoring of atmospheric concentrations is vital for assessing the Stockholm Convention's effectiveness on persistent organic pollutants(POPs).This task,particularly challenging in polar regions due to low air concentrations and temperature fluctuations,requires robust sampling ***,the influence of temperature on the sampling efficiency of polyurethane foam discs remains *** we employ a flow-through sampling(FTS)column coupled with an active pump to collect air samples at varying *** delved into breakthrough profiles of key pollutants,such as polycyclic aromatic hydrocarbons(PAHs),polychlorobiphenyls(PCBs),and organochlorine pesticides(OCPs),and examined the temperature-dependent behaviors of the theoretical plate number(N)and breakthrough volume(VB)using frontal chromatography *** findings reveal a significant relationship between temperature dependence coefficients(KTN,KTV)and compound volatility,with decreasing values as volatility *** distinct trends are noted for PAHs,PCBs,and OCPs in KTN,KTV values exhibit similar patterns across all ***,we establish a binary linear correlation between log(VB/m3),1/(T/K),and N,simplifying breakthrough level estimation by enabling easy conversion between N and ***,an empirical linear solvation energy relationship incorporating a temperature term is developed,yielding satisfactory results for N at various *** approach holds the potential to rectify temperature-related effects and loss rates in historical data from long-term monitoring networks,benefiting polar and remote regions.

关键词： Temperature Theoretical plate number Breakthrough volume Frontal chromatographic theory LSER

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Corrosion and in vitro cytocompatibility investigation on the designed Mg-Zn-Ag metallic glasses for biomedical application

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Journal of Magnesium and Alloys 2024年第4期12卷 1566-1580页

作者： jian Wang Lingzhong Meng Weixin Xie Chen Ji ronghua Wang Pinghu Zhang Liling Jin Liyuan sheng Yufeng Zheng School of Mechanical Engineering Yangzhou UniversityYangzhou225127China Department of Materials Science and Engineering Seoul National UniversitySeoulSouth Korea Huizhou Port Customs Huizhou516081China jiangsu Key Laboratory of Integrated Traditional Chinese and Western Medicine for Prevention and Treatment of Senile Diseases Institute of Translational MedicineMedical CollegeYangzhou UniversityYangzhou225009China Center for Research in Computational Thermochemistry(CRCT) Department of Chemical EngineeringEcole polytechnique de MontréalMontréalQuébecH3C 3A7Canada Shenzhen Institute Peking UniversityShenzhen 518057China PKU-HKUST ShenZhen-HongKong Institution Shenzhen518057China

In the present work,seven Mg-Zn-Ag alloys with the nominal composition of Mg_(96-x)Zn_(x)Ag_(4)(x=17,20,23,26,29,32,35 in at.%)were prepared by induction melting and single-roller *** X-ray diffraction(XRD)analyses indicate the metallic glasses with three composition of Mg_(73)Zn_(23)Ag_(4),Mg_(70)Zn_(26)Ag_(4),and Mg_(67)Zn_(29)Ag_(4)were obtained *** differential scanning calorimetry(DSC)measurement was used to obtain the characteristic temperature of Mg-Zn-Ag metallic glasses for the glass-forming ability *** maximum glass transition temperature(Trg)was found to be 0.525 with a composition close to Mg_(67)Zn_(29)Ag_(4),which results in the best glass-forming ***,the immersion test in simulated body fluid(SBF)demonstrate the relative homogeneous corrosion behavior of the Mg-Zn-Ag metallic *** corrosion rate of Mg-Zn-Ag metallic glasses in SBF solution decreases with the increase of Zn *** sample Mg_(67)Zn_(29)Ag_(4)has the lowest corrosion rate of 0.19mm/yr,which could meet the clinical application requirement *** in vitro cell experiments show that the Madin-Darby canine kidney(MDCK)cells cultured in sample Mg_(67)Zn_(29)Ag_(4)and its extraction medium have higher ***,the Mg-Zn-Ag metallic glasses exhibit obvious inhibitory effect on human rhabdomyosarcoma(RD)tumor *** present investigations on the glass-forming ability,corrosion behavior,cytocompatibility and tumor inhibition function of the Mg-Zn-Ag based metallic glass could reveal their biomedical application possibility.

关键词： Metallic glasses Mg-Zn-Ag Corrosion behavior In vitro cytocompatibility

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Development characteristics and controlling factors of fractures in lacustrine shale and their geological significance for evaluating shale oil sweet spots in the third member of the Shahejie Formation in the Qikou Sag, Bohai Bay Basin

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Petroleum Science 2024年第2期21卷 791-805页

作者： Xu Zeng Tao Yang jian-Wei Feng Cong-sheng Bian Ming Guan Wei Liu Bing-Cheng Guo Jin Dong Research Institute of Petroleum Exploration and Development China National Petroleum CorporationBeijing100083China College of Geosciences China University of Petroleum(Beijing)Beijing102249China Key Laboratory of Petroleum Resources and Prospecting China University of Petroleum(Beijing)Beijing102249China School of Earth Sciences China University of PetroleumQingdao266400ShandongChina

Natural fractures are critical for shale oil and gas enrichment and development. Due to the extremely high heterogeneity of shale, the factors controlling the formation of internal fractures, especially horizontal fractures, remain controversial. In this study, we integrate thin section analysis and microcomputed tomography(CT) data from several lacustrine shale samples from the third member(Es3) of the Shahejie Formation, Qikou Sag, Bohai Bay Basin, to assess the fractures in detail. The goal is to reveal the development characteristics, controlling factors, and geological significance for evaluating sweet spots in a shale oil play. The fractures in the Es3contain high-angle structural and horizontal bed-parallel fractures that are mostly shear and extensional. Various factors influence fracture development,including lithofacies, mineral composition, organic matter content, and the number of laminae. Structural fractures occur predominantly in siltstone, whereas bed-parallel fractures are abundant in laminated shale and layered mudstone. A higher quartz content results in higher shale brittleness, causing fractures, whereas the transformation between clay minerals contributes to the development of bedparallel fractures. Excess pore pressure due to hydrocarbon generation and expulsion during thermal advance can cause the formation of bed-parallel fractures. The density of the bed-parallel and structural fractures increases with the lamina density, and the bed-parallel fractures are more sensitive to the number of laminae. The fractures are critical storage spaces and flow conduits and are indicative of sweet spots. The laminated shale in the Es3with a high organic matter content contains natural fractures and is an organic-rich, liquid-rich, self-sourced shale play. Conversely, the siltstone, massive mudstone, and argillaceous carbonate lithofacies contain lower amounts of organic matter and do not have bed-parallel fractures. However, good reservoirs can form in th

关键词： Fractures Development characteristics Controlling factors Shale oil Sweet spot

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Machine learning optimization strategy of shaped charge liner structure based on jet penetration efficiency

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Defence Technology（防务技术） 2024年第9期39卷 23-41页

作者： Ziqi Zhao Tong Li Donglin sheng jian Chen Amin Yan Yan Chen Haiying Wang Xiaowei Chen Lanhong Dai State Key Laboratory of Nonlinear Mechanics Institute of MechanicsChinese Academy of SciencesBeijing 100190China School of Future Technology University of Chinese Academy of SciencesBeijing 100049 China School of Engineering Science University of Chinese Academy of SciencesBeijing 100049China State Key Laboratory of Explosion Science and Technology Beijing Institute of TechnologyBeijing 100081China

Shaped charge liner(SCL)has been extensively applied in oil recovery and defense *** superior penetration capability through optimizing SCL structures presents a substantial challenge due to intricate rate-dependent processes involving detonation-driven liner collapse,high-speed jet stretching,and *** study introduces an innovative optimization strategy for SCL structures that employs jet penetration efficiency as the primary objective *** strategy combines experimentally validated finite element method with machine learning(FEM-ML).We propose a novel jet penetration efficiency index derived from enhanced cutoff velocity and shape characteristics of the jet via machine *** index effectively evaluates the jet penetration ***,a multi-model fusion based on a machine learning optimization method,called XGBOOST-MFO,is put forward to optimize SCL structure over a large input *** strategy's feasibility is demonstrated through the optimization of copper SCL implemented via the FEM-ML ***,this strategy is extended to optimize the structure of the recently emerging CrMnFeCoNi high-entropy alloy conical liners and hemispherical copper ***,the strategy can provide helpful guidance for the engineering design of SCL.

关键词： Jet penetration efficiency Shaped charge liner FEM-ML XGBOOST MFO High-entropy alloy

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An Occupational Dimethylacetamide Poisoning Incident Responded Efficiently in Health Emergency Response Network—Zhuhai City,Guangdong Province,China,August 2023

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China CDC weekly 2024年第34期6卷 872-875页

作者： Jiaxin jiang jian Huang Jintong He Chudong Zhang Weihui Liang Qifeng Wu Weifeng rong Xiaoyong Liu Guangdong Province Hospital for Occupational Disease Prevention and Treatment(GDHOD) Guangzhou CityGuangdong ProvinceChina The Third People’s Hospital of Zhuhai(Zhuhai Hospital for Occupational Disease Prevention and Treatment ZHHOD)Zhuhai CityGuangdong ProvinceChina

Summary What is already known about this topic?Dimethylacetamide(DMA),a colorless liquid with low toxicity,is commonly used as a solvent in the production of synthetic materials,petroleum processing,and pharmaceutical *** comparison to substances of higher toxicity,occupational exposure to DMA presents a deceptive risk due to its insidious and subacute progression,increasing the likelihood of escalating into major incidents.

关键词： Dimethyl Guangdong manufacture

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Conquer coronary artery perforation with magic hands

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Journal of Geriatric Cardiology 2024年第4期21卷 379-386页

作者： Yi-Lun ZOU jian-Qiang LI Ding-Yu WANG Yong-Tai GONG Li sheng Yue LI Department of Cardiology the First Affiliated Hospital of Harbin Medical UniversityHarbinChina

Coronary artery perforation(CAP) poses a significant challenge for interventional cardiologists. Management of CAP depends on the location and severity of the perforation. The conventional method for addressing the perforation of large vessels involves the placement of a covered stent, while the perforation of distal and collateral vessels is typically managed using coils, autologous skin, subcutaneous fat, microspheres, gelatin sponge, thrombin or other substances. However, the above techniques have certain limitations and are not applicable in all scenarios. Our team has developed a range of innovative strategies for effectively managing CAP. This article provides an insightful review of the various tips and tricks for the treatment of CAP.

关键词： coronary sponge perforation

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Remaining useful life prediction for train bearing based on an ILSTM network with adaptive hyperparameter optimization

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Transportation Safety and Environment 2024年第2期6卷 75-86页

作者： Deqiang He Jingren Yan Zhenzhen Jin Xueyan Zou sheng Shan Zaiyu Xiang jian Miao State Key Laboratory of Featured Metal Materials and Life-cycle Safety for Composite Structures Guangxi Key Laboratory of Manufacturing System&Advanced Manufacturing Tec hnologySc hool of Mec hanical EngineeringGuangxi Univ ersityNanning 530004GuangxiChina Zhuzhou CRRC Times Electric Co. Ltd.Zhuzhou 412001HunanChina

Remaining useful life(RUL)prediction for bearing is a significant part of the maintenance of urban rail transit *** RUL is closely linked to the reliability and safety of train running,but the current prediction accuracy makes it difficult to meet the re-quirements of high reliability *** at the problem,a prediction model based on an improved long short-term memory(ILSTM)network is ***,the variational mode decomposition is used to process the signal,the intrinsic mode function with stronger representation ability is determined according to energy entropy and the degradation feature data is constructed com-bined with the time domain ***,to improve learning ability,a rectified linear unit(ReLU)is applied to activate a fully connected layer lying after the long short-term memory(LSTM)network,and the hidden state outputs of the layer are weighted by attention *** Harris Hawks optimization algorithm is introduced to adaptively set the hyperparameters to improve the performance of the ***,the ILSTM is applied to predict bearing *** experimental cases,the better perfor-mance in bearing RUL prediction and the effectiveness of each improving measures of the model are validated,and its superiority of hyperparameters setting is demonstrated.

关键词： train bearing remaining useful life prediction long short-term memory(LSTM) attention mechanism Harris Hawks op-timization(HHO)

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Rapid development of double-hit mRNA antibody cocktail against orthopoxviruses

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Signal Transduction and Targeted Therapy 2024年第4期9卷 1768-1776页

作者： Hang Chi Suo-Qun Zhao Ru-Yi Chen Xing-Xing Suo rong-rong Zhang Wen-Hui Yang Dong-sheng Zhou Min Fang Bo Ying Yong-Qiang Deng Cheng-Feng Qin State Key Laboratory of Pathogen and Biosecurity Beijing Institute of Microbiology and EpidemiologyAMMS100071BeijingChina College of Life Sciences Inner Mongolia Agricultural UniversityHohhot010018Inner MongoliaChina School of Life Sciences Henan UniversityKaifeng475004HenanChina Suzhou Abogen Biosciences Co. LtdSuzhou215123JiangsuChina Research Unit of Discovery and Tracing of Natural Focus Diseases Chinese Academy of Medical Sciences100071BeijingChina

The Orthopoxvirus genus,especially variola virus(VARV),monkeypox virus(MPXV),remains a significant public health threat *** development of therapeutic antibodies against orthopoxviruses is largely hampered by the high cost of antibody engineering and manufacturing ***-encoded antibodies have emerged as a powerful and universal platform for rapid antibody ***,by using the established lipid nanoparticle(LNP)-encapsulated mRNA platform,we constructed four mRNA combinations that encode monoclonal antibodies with broad neutralization activities against *** vivo characterization demonstrated that a single intravenous injection of each LNP-encapsulated mRNA antibody in mice resulted in the rapid production of neutralizing *** importantly,mRNA antibody treatments showed significant protection from weight loss and mortality in the vaccinia virus(VACV)lethal challenge mouse model,and a unique mRNA antibody cocktail,Mix2a,exhibited superior in vivo protection by targeting both intracellular mature virus(IMV)-form and extracellular enveloped virus(EEV)-form *** summary,our results demonstrate the proof-of-concept production of orthopoxvirus antibodies via the LNP-mRNA platform,highlighting the great potential of tailored mRNA antibody combinations as a universal strategy to combat orthopoxvirus as well as otheremerging viruses.

关键词： proof universal neutral

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