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Lesson Learned from COVID-19 Retrospective Study: An Entropy-Based Clinical-Interpretable Scorecard for Mortality Risk Control at ICU Admission

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Tsinghua Science and Technology 2024年第1期29卷 34-45页

作者： Chong yao Chonghui Huangqi Anpeng Huang Laboratory of Network Information Security Beihang UniversityBeijing 100191China Andrew and Erna Viterbi School of Engineering University of Southern CaliforniaLos AnglesCA 90089USA Beijing Goodwill Information and Technology Co. Ltd.and Mobile Health LaboratoryPeking UniversityBeijing 100871China

With severe acute respiratory syndrome coronavirus 2 spreading globally and causing 2019 coronavirus disease(COVID-19),a challenge that we unprepared for was about how to optimally plan and distribute limited top-medical resources for patients in need of urgent *** address this challenge,physicians desperately needed a scientific tool to methodically differentiate between cases with varying *** this study,the unique data of COVID-19 intensive care unit(ICU)patients provided by the national medical team in Wuhan were classified into discrete and continuous variable *** continuous data were discretized using an entropy-based method and transformed into serial information margins,in which each information margin is related to a specific symptom or clinical ***,all these native and processed discrete data were used to configure a readable scorecard through logistic regression,which is the desired scientific tool aforementioned.A total of 322 ICU patients(age:[median:64,interquartile range:54-75],males:178[55.28%],and death:72[22.36%])were included in the *** of mortality in COVID-19 patients can be evaluated using a scorecard model(calibration slope:1.343,Brier:0.048,Dxy=0.972,and population stability index=0.071),with desired model performances(accuracy=0.948,area under curve=0.99,sensitivity=1,and specificity=0.939).This new model can interpret clinical meanings from complex data,and compare it with existing machine learning methods through a black-box *** new data-information model answers a critical question of how a computing algorithm produces clinically meaningful results that will help physicians logically allocate medical resources for COVID-19 ***,this tool has limitations,giving that this research is a retrospective ***,this tool will be tested further and optimized for adaptation to similar clinical cases in the future.

关键词： COVID-19 scorecard clinical-interpretable machine learning ICU admission control

Potential evaluation of saline aquifers for the geological storage of carbon dioxide: A case study of saline aquifers in the Qian-5 member in northeastern Ordos Basin

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China Geology 2024年第1期7卷 12-25页

作者： Yan Li Peng Li Hong-jun Qu Gui-wen Wang Xiao-han Sun chang Ma Tian-xing yao Guoneng Jinjie Energy Co. Ltd.Shenmu 719319China Department of Geology Northwest UniversityXi’an 710069China Carbon Neutrality College(Yulin) Northwest UniversityXi’an 710069China National&Local Joint Engineering Research Center of Carbon Capture and Storage Technology Xi’an 710069China

The well-developed coal electricity generation and coal chemical industries have led to huge carbon dioxide(CO_(2))emissions in the northeastern Ordos *** geological storage of CO_(2) in saline aquifers is an effective backup way to achieve carbon *** this case,the potential of saline aquifers for CO_(2) storage serves as a critical basis for subsequent geological storage *** study calculated the technical control capacities of CO_(2) of the saline aquifers in the fifth member of the Shiqianfeng Formation(the Qian-5 member)based on the statistical analysis of the logging and the drilling and core data from more than 200 wells in the northeastern Ordos Basin,as well as the sedimentary facies,formation lithology,and saline aquifer development patterns of the Qian-5 *** results show that(1)the reservoirs of saline aquifers in the Qian-5 member,which comprise distributary channel sand bodies of deltaic plains,feature low porosities and permeabilities;(2)The study area hosts three NNE-directed saline aquifer zones,where saline aquifers generally have a single-layer thickness of 3‒8 m and a cumulative thickness of 8‒24 m;(3)The saline aquifers of the Qian-5 member have a total technical control capacity of CO_(2) of 119.25×10^(6) *** the largest scale and the highest technical control capacity(accounting for 61%of the total technical control capacity),the Jinjie-Yulin saline aquifer zone is an important prospect area for the geological storage of CO_(2) in the saline aquifers of the Qian-5 member in the study area.

关键词： Carbon burial Carbon neutral CO_(2) storage in saline aquifer Distributary channel sand body Potential evaluation Technical control capacity CO_(2)geological storage engineering Ordos Basin

维普期刊数据库

Active Fault Tolerant Nonsingular Terminal Sliding Mode Control for Electromechanical System Based on Support Vector Machine

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Chinese Journal of Mechanical Engineering 2024年第3期37卷 189-203页

作者： Jian Hu Zhengyin Yang Jianyong yao School of Mechanical Engineering Nanjing University of Science and TechnologyNanjing 210094China

Effective fault diagnosis and fault-tolerant control method for aeronautics electromechanical actuator is concerned in this *** borrowing the advantages of model-driven and data-driven methods,a fault tolerant nonsingular terminal sliding mode control method based on support vector machine(SVM)is proposed.A SVM is designed to estimate the fault by off-line learning from small sample data with solving convex quadratic programming method and is introduced into a high-gain observer,so as to improve the state estimation and fault detection accuracy when the fault *** state estimation value of the observer is used for state reconfiguration.A novel nonsingular terminal sliding mode surface is designed,and Lyapunov theorem is used to derive a parameter adaptation law and a control *** is guaranteed that the proposed controller can achieve asymptotical stability which is superior to many advanced fault-tolerant *** addition,the parameter estimation also can help to diagnose the system faults because the faults can be reflected by the parameters *** comparative simulation and experimental results illustrate the effectiveness and advancement of the proposed controller compared with several other main-stream controllers.

关键词： Aeronautics electromechanical actuator Fault tolerant control Support vector machine State observer Parametric uncertainty

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Multi-Robot Cooperative Localization: Time-Varying Unobservable Subspace Analysis and Consistent Algorithm Design

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Journal of Systems Science & Complexity 2024年第5期37卷 1937-1955页

作者： HAO Ning HE Fenghua yao Yu School of Astronautics Harbin Institute of Technology

This paper investigates the problem of cooperative localization(CL) for a multi-robot system(MRS) under dynamic measurement topology, which involves a group of robots collectively estimating their poses with respect to a common reference frame using ego-motion measurements and robot-to-robot relative measurements. The authors provide a theoretical analysis of the time-varying unobservable subspace and propose a consistent cooperative localization algorithm. First, the authors introduce the relative measurement graph(RMG) to represent the relative pose measurements obtained by the MRS at each instant. Then, the authors derive the local observability matrix over a time *** equivalent relationship is established between the local observability matrix and the spectral matrices of the RMG. Moreover, the authors present a method for constructing the unobservable subspace based on the RMG under different topology conditions. Based on this analysis, the authors design a consistent cooperative localization algorithm that satisfies the constraints of the time-varying unobservable subspace. An analytical optimal solution is derived for the constrained optimization *** Carlo numerical simulations are conducted to demonstrate the consistency and accuracy of the proposed method.

关键词： Consistency cooperative localization multi-robot system null space relative measurement graph time-varying unobservable subspace

Enhancing the Efficiency and Durability of Perovskite Solar Cells by Donor-Acceptor Covalent Organic Framework with Thiazolo[5,4-d]thiazole Unit

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CCS Chemistry 2024年第7期6卷 1721-1730页

作者： Liyi yao Shuainan Liu Lin Li Bangdi Ge Wenyu Jiao Siyu Zong Xiaowei Song Donglei Zhou Zhiqiang liang State Key Lab of Inorganic Synthesis and Preparative Chemistry College of ChemistryJilin UniversityChangchun 130012 State Key Laboratory of Integrated Optoelectronics College of Electronic Science and EngineeringJilin UniversityChangchun 130012 Electron Microscopy Center Jilin UniversityChangchun 130012

Donor-Acceptor(D-A)alignment is considered a productive strategy to improve the charge separation efficiency of covalent organic frameworks(COFs)and enhance the charge-transfer yield(CTY)of ***,organic molecules containing heteroatoms can produce coordination interaction with PbI2 of perovskite precursor to affect the crystallization process,thereby impeding the decomposition and improving the stability of perovskite ***,a thiazolo[5,4-d]thiazole(TZ)-based D-A type COF_(TPDA-TZDA) was designed and synthesized from N,N,N′,N′-tetrakis(4-aminophenyl)-1,4-benzenediamine(TPDA)and 4,4′-(thiazolo[5,4-d]thiazole-2,5-diyl)dibenzaldehyde(TZDA).Upon incorporation into the FAPbI3 layer,COF_(TPDA-TZDA) not only restrained the perovskite defects and enhanced the grain size of perovskite films through the coordination effect of the N atoms of TZDA but also ameliorated the charge transport within the perovskite film,which was the benefit of the D-A structure of COF_(TPDA-TZDA).As a result,incorporation of COF_(TPDA-TZDA) into the perovskite solar cells(PSCs)led to a remarkable power conversion efficiency(PCE)of up to 23.51%.Furthermore,even after being stored in high relative humidity(RH≈60%)for 480 h,these PSCs maintained over 90.55%of their original *** work sets the foundation for the development of highly efficient and stable PSCs by utilizing TZ-based D-A type COFs.

关键词： thiazolo[5,4-d]thiazole perovskite solar cells donor-acceptor covalent organic frameworks charge-transfer

Risk stratification in gastric cancer lung metastasis: Utilizing an overall survival nomogram and comparing it with previous staging

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World Journal of Gastrointestinal Surgery 2024年第2期16卷 357-381页

作者： Zhi-Ren Chen Mei-Fang Yang Zhi-Yuan Xie Pei-An Wang liang Zhang Ze-Hua Huang yao Luo Department of Science and Education Xuzhou Medical UniversityXuzhou Clinical CollegeXuzhou 221000Jiangsu ProvinceChina Department of Neurology Xuzhou Medical UniversityXuzhou 221000Jiangsu ProvinceChina Department of Neurology Clinical LaboratoryGastrointestinal SurgeryCentral Hospital of XuzhouCentral Hospital of XuzhouXuzhou 221000Jiangsu ProvinceChina Department of Public Health Xuzhou Central HospitalXuzhou 221000Jiangsu ProvinceChina Department of Gastroenterology Xuzhou Centre HospitalXuzhou 221000Jiangsu ProvinceChina Department of Public Health Xuzhou Medical UniversityXuzhou 221000Jiangsu ProvinceChina

BACKGROUND Gastric cancer(GC)is prevalent and aggressive,especially when patients have distant lung metastases,which often places patients into advanced *** identifying prognostic variables for lung metastasis in GC patients,it may be po-ssible to construct a good prediction model for both overall survival(OS)and the cumulative incidence prediction(CIP)plot of the *** To investigate the predictors of GC with lung metastasis(GCLM)to produce nomograms for OS and generate CIP by using cancer-specific survival(CSS)*** Data from January 2000 to December 2020 involving 1652 patients with GCLM were obtained from the Surveillance,epidemiology,and end results program *** major observational endpoint was OS;hence,patients were se-parated into training and validation *** analysis determined va-rious *** and multivariate Cox analyses validated the independent predictive *** distinction and calibration were performed with the time-dependent area under the curve(AUC)and calibration *** evaluate the accuracy and clinical usefulness of the nomograms,decision curve analysis(DCA)was *** clinical utility of the novel prognostic model was compared to that of the 7th edition of the American Joint Committee on Cancer(AJCC)staging system by utilizing Net Reclassification Improvement(NRI)and Integrated Discrimination Improvement(IDI).Finally,the OS prognostic model and Cox-AJCC risk stratification model modified for the AJCC system were *** For the purpose of creating the OS nomogram,a CIP plot based on CSS was *** multivariate regression analysis identified eleven significant prognostic factors(P0),time-de-pendent ROC curve(training/v

关键词： Gastric cancer Lung metastasis Nomograms Surveillance Epidemiology Surveillance epidemiology and end results program database Overall survival Prognosis

Suppressing FXR promotes antiviral effects of bile acids via enhancing the interferon transcription

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Acta Pharmaceutica Sinica B 2024年第8期14卷 3513-3527页

作者： Xue liang Kunpeng Liu Xin Jia Cuiqin Cheng Meiqi Zhang Lingdong Kong Qiqi Li Zhe Liu Min Li Junliang Li yao Wang Anlong Xu School of Life Sciences Beijing University of Chinese MedicineBeijing 100029China Guangxi Key Laboratory of Special Biomedicine School of MedicineGuangxi UniversityNanning 530004China Beijing Academy of Traditional Chinese Medicine Beijing University of Chinese MedicineBeijing 100029China Beijing Research Institute of Chinese Medicine Beijing University of Chinese MedicineBeijing 100029China

Bile acids(BAs)are natural metabolites in mammals and have the potential to function as drugs against viral ***,the limited understanding of chenodeoxycholic acid(CDCA)receptors and downstream signaling,along with its lower suppression efficiency in inhibiting virus infection limits its clinical *** this study,we demonstrate that farnesoid X receptor(FXR),the receptor of CDCA,negatively regulates interferon signaling,thereby contributing to the reduced effectiveness of CDCA against virus *** deficiency or pharmacological inhibition enhances interferon signaling activation to suppress virus ***,FXR impairs the DNA binding and transcriptional abilities of activated interferon regulatory factor 3(IRF3)through *** IRF3 transcriptional activity by FXReIRF3 interaction significantly undermines the expression of Interferon Beta 1(IFNB1)and the antiviral response of cells,especially upon the CDCA *** FXR-deficient cells,or when combined with Z-guggulsterone(GUGG)treatment,CDCA exhibits a more potent ability to restrict virus ***,these findings suggest that FXR serves as a limiting factor for CDCA in inhibiting virus replication,which can be attributed to the“signaling-brake”roles of FXR in interferon *** FXR inhibition represents a promising pharmaceutical strategy for the clinical application of BAs metabolites as antiviral drugs.

关键词： Bile acids FXR IRF3 Interferon transcription RNA virus Z-guggulsterone Broad-spectrum antiviral activity Synergistic inhibitory effect

Expression Recognition Method Based on Convolutional Neural Network and Capsule Neural Network

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Computers, Materials & Continua 2024年第4期79卷 1659-1677页

作者： Zhanfeng Wang Lisha yao School of Computer Science and Artificial Intelligence Chaohu UniversityHefei238000China School of Big Data and Artificial Intelligence Anhui Xinhua UniversityHefei230088China

Convolutional neural networks struggle to accurately handle changes in angles and twists in the direction of images,which affects their ability to recognize patterns based on internal feature levels. In contrast, CapsNet overcomesthese limitations by vectorizing information through increased directionality and magnitude, ensuring that spatialinformation is not overlooked. Therefore, this study proposes a novel expression recognition technique calledCAPSULE-VGG, which combines the strengths of CapsNet and convolutional neural networks. By refining andintegrating features extracted by a convolutional neural network before introducing theminto CapsNet, ourmodelenhances facial recognition capabilities. Compared to traditional neural network models, our approach offersfaster training pace, improved convergence speed, and higher accuracy rates approaching stability. Experimentalresults demonstrate that our method achieves recognition rates of 74.14% for the FER2013 expression dataset and99.85% for the CK+ expression dataset. By contrasting these findings with those obtained using conventionalexpression recognition techniques and incorporating CapsNet’s advantages, we effectively address issues associatedwith convolutional neural networks while increasing expression identification accuracy.

关键词： Expression recognition capsule neural network convolutional neural network

Impact of metabolic syndrome components on clinical outcomes in hypertriglyceridemia-induced acute pancreatitis

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World Journal of Gastroenterology 2024年第35期30卷 3996-4010页

作者： Zhen-Hua Fu Zi-Yue Zhao yao-Bing liang Dong-Yu Cheng Jian-Ming Luo Hai-Xing Jiang Shan-Yu Qin Department of Gastroenterology The First Affiliated Hospital of Guangxi Medical UniversityNanning 530021Guangxi Zhuang Autonomous RegionChina

BACKGROUND The incidence of hypertriglyceridemia(HTG)-induced acute pancreatitis(AP)is steadily increasing in China,becoming the second leading cause of *** complications and outcomes associated with HTG-AP are generally more severe than those seen in AP caused by other ***-AP is closely linked to metabolic dysfunction and frequently coexists with metabolic syndrome or its ***,the impact of metabolic syndrome components on HTGAP clinical outcomes remains *** To investigate the impact of metabolic syndrome component burden on clinical outcomes in *** In this retrospective study of 255 patients diagnosed with HTG-AP at the First Affiliated Hospital of Guangxi Medical University,we collected data on patient demographics,clinical scores,complications,and clinical ***,we analyzed the influence of the presence and number of individual metabolic syndrome components,including obesity,hyperglycemia,hypertension,and low high-density lipoprotein cholesterol(HDL-C),on the aforementioned parameters in HTG-AP *** This study found that metabolic syndrome components were associated with an increased risk of various complications in HTG-AP,with low HDL-C being the most significant risk factor for clinical *** risk of complications increased with the number of metabolic syndrome *** for age and sex,patients with highcomponent metabolic syndrome had significantly higher risks of renal failure[odds ratio(OR)=3.02,95%CI:1.12-8.11)],SAP(OR=5.05,95%CI:2.04-12.49),and intensive care unit admission(OR=6.41,95%CI:2.42-16.97)compared to those without metabolic *** The coexistence of multiple metabolic syndrome components can synergistically worsen the clinical course of HTGAP,making it crucial to monitor these components for effective disease management.

关键词： Hypertriglyceridemia-induced acute pancreatitis Metabolic syndrome High density lipoprotein cholesterol Obesity Hyperglycemia Hypertension Clinical outcomes