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Prediction of sepsis within 24 hours at the triage stage in emergency departments using machine learning

World Journal of Emergency Medicine 2024年第5期15卷 379-385页

作者： Jingyuan Xie Jiandong Gao Mutian Yang Ting Zhang Yecheng Liu Yutong Chen Zetong Liu Qimin Mei Zhimao Li Huadong Zhu Ji Wu Department of Electronic Engineering Tsinghua UniversityBeijing 100084China Center for Big Data and Clinical Research Institute for Precision MedicineTsinghua UniversityBeijing 100084China Institute of Medical Technology Peking University Health Science CenterBeijing 100091China Emergency Department State Key Laboratory of Complex Severe and Rare DiseasesPeking Union Medical College HospitalChinese Academy of Medical Science and Peking Union Medical CollegeBeijing 100005China Department of Health Care Peking Union Medical College HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing 100005China

BACKGROUND:Sepsis is one of the main causes of mortality in intensive care units(ICUs).Early prediction is critical for reducing *** approximately 36%of sepsis occur within 24 h after emergency department(ED)admission in Medical Information Mart for Intensive Care(MIMIC-IV),a prediction system for the ED triage stage would be *** methods such as the quick Sequential Organ Failure Assessment(qSOFA)are more suitable for screening than for prediction in the ED,and we aimed to fi nd a light-weight,convenient prediction method through machine ***:We accessed the MIMIC-IV for sepsis patient data in the *** dataset comprised demographic information,vital signs,and synthetic *** Gradient Boosting(XGBoost)was used to predict the risk of developing sepsis within 24 h after ED ***,SHapley Additive exPlanations(SHAP)was employed to provide a comprehensive interpretation of the model's *** percent of the patients were randomly selected as the testing set,while the remaining patients were used for training with 10-fold ***:For 10-fold cross-validation on 14,957 samples,we reached an accuracy of 84.1%±0.3%and an area under the receiver operating characteristic(ROC)curve of 0.92±*** model achieved similar performance on the testing set of 1,662 *** values showed that the fi ve most important features were acuity,arrival transportation,age,shock index,and respiratory ***:Machine learning models such as XGBoost may be used for sepsis prediction using only a small amount of data conveniently collected in the ED triage *** may help reduce workload in the ED and warn medical workers against the risk of sepsis in advance.

关键词： Sepsis Machine learning Emergency department Triage Informatics

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Microstructural Stability and Strengthening Mechanism of a Ferritic Fe–Cr–Ni–Al Superalloy Containing Cuboidal B2 Nanoparticles 10th

Microstructural Stability and Strengthening Mechanism of a F...

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10th International Symposium on Superalloy 718 and Derivatives, 2023

作者： Wang, Zhenhua Jiang, Beibei Liu, Haiyang Niu, Ben Yu, Hongyao Wang, Qing School of Materials Science and Engineering Dalian University of Technology Dalian116024 China Analysis and Test Center Guangdong University of Technology Guangzhou510006 China Beijing Key Laboratory of Advanced High Temperature Materials Central Iron and Steel Research Institute Beijing100081 China

ISBN: (纸本)9783031274466

Development of Fe-based superalloys is highly demanded for both scientific interests and broad applications. Generally, the mechanical properties of traditional alloys strengthened by carbides and Laves phase, etc., are degraded after long-term operation at HTs (>923 K) due to microstructural instability. Considering that the superiority of Ni-based superalloys benefits from their unique coherent microstructure, the coherent precipitation of cuboidal B2 nanoparticles will certainly improve the HT microstructure and mechanical properties of Fe-based superalloys. In the present work, we developed a new Fe-based superalloy with cuboidal B2-NiAl nanoparticles coherently-precipitated into BCC matrix, which has not been reported. This alloy exhibits an excellent microstructural stability at 973 K with a slow particle coarsening rate, which is ascribed to the moderate lattice misfit (Ε = 0.24 ~ 0.67%) between BCC/B2. Also, it is the cuboidal B2 nanoprecipitation that renders the current alloy with yield strength of σYS = 238 ~ 258 MPa at 973 K. © 2023, The Minerals, Metals & Materials Society.

关键词： Superalloys

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Texture analysis of ultra-high coercivity Sm_(2)Co_(7) hot deformation magnets

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Chinese Physics B 2021年第4期30卷 526-529页

作者： Qiang Ma Meishuang Jia Zhifeng Hu Ming Yue Yanli Liu Tongyun Zhao Baogen Shen State Key Laboratory of Magnetism Institute of PhysicsChinese Academy of SciencesBeijing 100190China School of Science Inner Mongolia University of Science and TechnologyBaotou 014010China College of Materials Science and Engineering Beijing University of TechnologyBeijing 100124China

Bulk anisotropic Sm_(2)Co_(7) nanocrystalline magnets were successfully prepared by hot deformation process using spark plasma sintering *** coercivity of the isotropic Sm_(2)Co_(7) nanocrystalline magnet is 34.76 kOe,further,the ultra-high coercivity of 50.68 kOe is obtained in the anisotropic hot deformed Sm_(2)Co_(7) magnet when the height reduction is70%,which is much higher than those of the ordinarily produced hot deformed Sm_(2)Co_(7) magnet.X-ray diffraction(XRD)analysis shows that all the samples are Sm_(2)Co_(7) single *** investigation by electron backscatter diffraction indicates that increasing the amount of deformation is beneficial to the improvement of the(001) texture of Sm_(2)Co_(7) *** Sm_(2)Co_(7) nanocrystalline magnet generates a strong c-axis crystallographic texture during large deformation process.

关键词： Sm_(2)Co_(7)magnet spark plasma sintering hot deformation ultra-high coercivity texture

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Population-wide DNA methylation polymorphisms at single-nucleotide resolution in 207 cotton accessions reveal epigenomic contributions to complex traits

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细胞研究（英文版） 2024年第12期34卷 859-872页

作者： Ting Zhao Xueying Guan Yan Hu Ziqian Zhang Han Yang Xiaowen Shi Jin Han Huan Mei Luyao Wang Lei Shao Hongyu Wu Qianqian Chen Yongyan Zhao Jiaying Pan Yupeng Hao Zeyu Dong Xuan Long Qian Deng Shengjun Zhao Mengke Zhang Yumeng Zhu Xiaowei Ma Zequan Chen Yayuan Deng Zhanfeng Si Xin Li Tianzhen Zhang Fei Gu Xiaofeng Gu Lei Fang Zhejiang Provincial Key Laboratory of Crop Genetic Resources the Advance Seed InstituteKey Laboratory of Plant FactoryGeneration-adding BreedingMinistry of Agriculture and Rural AffairsCollege of Agriculture and BiotechnologyZhejiang UniversityHangzhouZhejiangChina Damo Academy Alibaba GroupHangzhouZhejiangChina Hainan Institute of Zhejiang University Yazhou Bay Science and Technology CityYazhou DistrictSanyaHainanChina Zhejiang Provincial Key Laboratory of Crop Genetic Resources the Advance Seed InstituteKey Laboratory of Plant FactoryGeneration-adding BreedingMinistry of Agriculture and Rural AffairsCollege of Agriculture and BiotechnologyZhejiang UniversityHangzhouZhejiangChina Hainan Institute of Zhejiang University Yazhou Bay Science and Technology CityYazhou DistrictSanyaHainanChina Damo Academy Alibaba GroupHangzhouZhejiangChina Hupan Lab HangzhouZhejiangChina Biotechnology Research Institute Chinese Academy of Agricultural SciencesBeijingChina

DNA methylation plays multiple regulatory roles in crop ***,the relationships of methylation polymorphisms with genetic polymorphisms,gene expression,and phenotypic variation in natural crop populations remain largely ***,we surveyed high-quality methylomes,transcriptomes,and genomes obtained from the 20-days-post-anthesis(DPA)cotton fibers of 207 accessions and extended the classical framework of population genetics to *** 287 million single methylation polymorphisms(SMPs)were identified,100 times more than the number of single nucleotide polymorphisms(SNPs).These SMPs were significantly enriched in intragenic regions while depleted in transposable *** analysis further identified a total of 5,426,782 cis-methylation quantitative trait loci(cis-meQTLs),5078 cis-expression quantitative trait methylation(cis-eQTMs),and 9157 expression quantitative trait loci(eQTLs).Notably,36.39％of cis-eQTM genes were not associated with genetic variation,indicating that a large number of SMPs associated with gene expression variation are independent of *** addition,out of the 1715 epigenetic loci associated with yield and fiber quality traits,only 36(2.10％)were shared with genome-wide association study(GWAS)*** construction of multi-omics regulatory networks revealed 43 cis-eQTM genes potentially involved in fiber development,which cannot be identified by GWAS *** these genes,the role of one encoding CBL-interacting protein kinase 10 in fiber length regulation was successfully validated through gene *** together,our findings prove that DNA methylation data can serve as an additional resource for breeding purposes and can offer opportunities to enhance and expedite the crop improvement process.

关键词： nucleotide cotton traits single accessions complex contributions epigenomic methylation polymorphisms

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Enhancing long-term stability of bio-photoelectrochemical cell by defect engineering of a WO_(3-x) photoanode

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Journal of Energy Chemistry 2023年第5期80卷 584-593,I0013页

作者： Cheng Zhang Xuchao Zheng Yongyue Ning Zihan Li Zhongdong Wu Xiaoyu Feng Gangyong Li Zhongyuan Huang Zongqian Hu College of Textiles and Clothing Xin Jiang UniversityUrumqi 830046XinjiangChina Beijing Institute of Radiation Medicine Beijing 100850China State Key Laboratory for Chemo/Biosensing and Chemometrics College of Chemistry and Chemical EngineeringHunan UniversityChangsha 410082HunanChina Department of Chemistry Northeast Normal UniversityChangchun 130024JilinChina Key Laboratory of Polyoxometalate and Reticular Material Chemistry of Ministry of Education National&Local United Engineering Laboratory for Power BatteriesKey Laboratory of Nanobiosensing and Nanobioanalysis at Universities of Jilin ProvinceAnalysis and Testing CenterDepartment of ChemistryNortheast Normal UniversityChangchun 130024JilinChina Shanghai Key Laboratory of Green Chemistry and Chemical Processes School of Chemistry and Molecular EngineeringEast China Normal UniversityShanghai 200241China Key Laboratory of Hunan Province for Advanced Carbon-based Functional Materials School of Chemistry and Chemical EngineeringHunan Institute of Science and TechnologyYueyang 414006HunanChina

Bio-photoelectrochemical cells(BPECs)can further expand the use of conventional biofuel cells for renewable energy,but the poor stability of the photoelectrode still hinders their practical ***,a BPEC capable of long-term operating in a fuel-free model is fabricated by WO3-xphotoanode with oxygen vacancy(Ov)and bilirubin oxidase catalyzed *** construction of Ov on the WO3surface significantly suppresses the dissolution of W species into the electrolyte,and improves the charge separation efficiency and the reaction kinetics during the photoelectrochemical oxygen evolution process,thus enhancing the stability and power output performance of the *** a result,the assembled BPEC can output an open circuit voltage of 0.81 V and deliver a maximum output power of up to 283μW cm^(-2).Impressively,the BPECs maintain 97%of their original power after 36000 s of consecutive discharge under an enclosed *** fuel-free BPEC based on a robust WO3-xphotoanode shows excellent promise for accurate application.

关键词： WO_(3) Oxygen vacancy Oxygen reduction reaction Fuel-free Bio-photoelectrochemical cell

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Road Network Enhanced Traffic Flow Prediction Service

Road Network Enhanced Traffic Flow Prediction Service

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IEEE International Conference on Web Services (ICWS)

作者： Yusheng Mei Zhuofeng Zhao Beijing Key Laboratory on Integration and Analysis of Large-Scale Stream Data School of Information Science and Technology North China University of Technology Beijing China

ISBN: (数字)9798350368550

ISBN: (纸本)9798350368567

Traffic flow prediction with trajectories is one core technology of Intelligent Transportation System, but also a challenging task, and the fundamental challenge is to effectively model the underlying causality of flows among roads, which are not only affected by vehicle driving preference, but also by road network structure features. To this end, this paper proposes a novel model, namely RNTrGNN(Road Network Enhanced Trajectory-based Graph Neural Network), which utilizes both vehicle trajectory and road network spatial features for traffic flow prediction. Specifically, RNTrGNN utilizes graph propagation of trajectory transition patterns to model the spatial traffic demand on the road network. Also, a Graph Attention Network(GAT) is used to incorporate road segment embedding into the traffic demand. Moreover, we design a traffic constraint module to take into account the effect of neighboring roads based on road distance. Extensive experiments conducted on three real-world taxi trajectory datasets show that our method can significantly outperform existing baseline models.

关键词： Web services Roads Vehicle driving Urban areas Predictive models Graph neural networks Trajectory Public transportation Intelligent transportation systems Meteorology

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Tour Guide Robot Based on Large Language Model and User Behavior analysis

Tour Guide Robot Based on Large Language Model and User Beha...

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Artificial Intelligence and Computer Engineering (ICAICE), International Conference on

作者： Haoran Lin Jing Wang Yutong Zhan Yuan Zhang Beijing Key Laboratory on Integration and Analysis of Large-Scale Stream Data School of Information Science and Technology North China University of Technology Beijing China

ISBN: (数字)9798331528911

ISBN: (纸本)9798331528928

With the continuous development of human-computer interaction technology, the applications of tour guide robots in scenarios such as museums and exhibition halls are becoming increasingly widespread. However, traditional tour guide robots primarily rely on predefined content and texts, as well as pre-planned routes, making it difficult to adjust in real-time based on the diverse needs and interests of different visitors. This limitation restricts interactivity and engagement. To address this issue, this paper proposes an intelligent tour guide robot system that integrates large language model and user behavior analysis technology, aimed at dynamically adjusting tour content by real-time perception of visitors' interests. This system leverages the natural language processing capabilities of large language model, along with user behavior analysis techniques, to provide visitors with a more personalized and interactive tour experience. Experimental validation shows that the proposed tour guide robot system can enhance the accuracy and proactivity of tour presentations, thereby increasing user engagement and the overall effectiveness of the tour.

关键词： Accuracy Robot kinematics Large language models Knowledge based systems Semantics Systems architecture Gaze tracking Real-time systems User experience Natural language processing

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A novel biochar-based 3D composite for ultrafast and selective Cr(VI)removal in electroplating wastewater

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Biochar 2024年第1期6卷 818-834页

作者： Zongzheng Yang Jinjin Wang Nan Zhao Runyi Pang Chuanfang Zhao Ying Deng Di Yang Haochen Jiang Zhiguo Wu Rongliang Qiu College of Oceanography and Environment Tianjin University of Science and TechnologyTianjin 300457China. College of Chemical Engineering and Materials Tianjin University of Science and TechnologyTianjin 300457China. National-Regional Joint Engineering Research Center for Soil Pollution Control and Remediation in South China Guangdong Key Laboratory of Integrated Agro-Environmental Pollution Control and ManagementInstitute of Eco-Environmental and Soil SciencesGuangdong Academy of SciencesGuangzhou 510650China. Guangdong Provincial Key Laboratory of Environmental Pollution Control and Remediation Technology School of Environmental Science and EngineeringSun Yat-Sen UniversityGuangzhou 510275China. Guangdong Laboratory for Lingnan Modern Agriculture College of Natural Resources and EnvironmentSouth China Agricultural UniversityGuangzhou 510642China. Research Center for Eco-Environmental Sciences Chinese Academy of SciencesBeijing 100085China.

In this study,a newly developed composite of biochar-poly(m-phenylenediamine)(BC-PmPD)exhibiting a distinct skeletal structure was synthesized for the purpose of extracting Cr(VI)from aqueous *** was employed as a supportive carrier onto which PmPD nanoparticles were uniformly affixed through in-situ polymerization and oxidation synthesis,both within and outside the layered configuration of *** structural stability and morphologies of BC-PmPD were assessed utilizing Fourier transform infrared(FTIR)spectroscopy,scanning electron microscopy,thermogravimetric analysis,analysis of specific surface area and pore size,X-ray photoelectron spectroscopy(XPS),and X-ray *** comparison to other modified BCs reported,BC-PmPD exhibited the highest Cr(VI)removal ***,at 303 K,BC-PmPD achieved a maximum Cr(VI)removal capacity of 775 mg g−1,surpassing the capabilities of unmodified BC and PmPD by 10.4 and 2.13 times,*** involving XPS,FTIR,and density functional theory calculation confirmed that proton transfer happened between protonated amine(−NH2)functional group within the structure of BC-PmPD and HCrO4−before the formation of hydrogen ***,environmentally persistent free radicals facilitated the reduction of the adsorbed Cr(VI).Quantification of the functional groups indicated that the amino group was responsible for 93.0%of the Cr(VI)adsorption in ***-PmPD dis-played potent adsorption and reduction capabilities,alongside notable stability,repeatability,and promising potential for application in the remediation for high concentrations of Cr(VI)in electroplating wastewater scenarios.

关键词： BC-poly(m-phenylenediamine)composite Selective removal of Cr(VI) Electroplating wastewater Proton transfer H bond

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Pressure controllable aptamers picking strategy by targets competition

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Chinese Chemical Letters 2021年第1期32卷 218-220页

作者： Ge Yang Chao Zhu Liping Zhao Linsen Li Yuanyu Huang Yukui Zhang Feng Qu Key Laboratory of Molecular Medicine and Biotherapy School of Life ScienceBeijing Institute of TechnologyBeijing 100081China Advanced Research Institute of Multidisciplinary Science Beijing Institute of TechnologyBeijing 100081China National Chromatographic Research and Analysis Center Dalian Institute of Chemical Physics Chinese Academy of ScienceDalian 116011China

Selection of aptamers with high affinity and good specificity requires multiple rounds of alternating steps of separation and PCR ***,we proposed a novel high-efficiency aptamers picking strategy:One-round pressure controllable selection(OPCS).OPCS integrates four types of screening superiority,high-efficiency separation,one-round selection and PCR amplification,synchronous negative selection and targets *** controllable screening pressure can be achieved through two approaches,balanced competition by the regulation of protein concentration,and dominant competition by introducing a predatory protein with high *** OPCS process,two proteins were co-incubated with one ssDNA library,and each protein bound its favorable sequences specifically and formed protein-ss D NA complex re ***,one protein could supply/sufferthe picking pressure of affinity and specificity to/from another,which eliminated weakly bound or unbound sequences for each *** complexes could be separated and collected conveniently,and aptamers for two proteins obtained synchronously with high affinity and good *** strategy not only provides a more effective way for aptamers selection,but shows great potential in other ligands or drugs selection.

关键词： Capillary electrophoresis Aptamer selection Screening pressure controllable Targets-synchronous competition One-round selection

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In situ atomic-scale observation of size-dependent (de) potassiation and reversible phase transformation in tetragonal FeSe anodes

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InfoMat 2023年第1期5卷 161-171页

作者： Ran Cai Lixia Bao Wenqi Zhang Weiwei Xia Chunhao Sun Weikang Dong Xiaoxue Chang Ze Hua Ruiwen Shao Toshio Fukuda Zhefei Sun Haodong Liu Qiaobao Zhang Feng Xu Lixin Dong Beijing Advanced Innovation Center for Intelligent Robots and Systems School of Medical TechnologyBeijing Institute of TechnologyBeijingPeople's Republic of China Analysis&Testing Center Beijing Institute of TechnologyBeijingPeople's Republic of China Department of Biomedical Engineering City University of Hong KongHong KongPeople's Republic of China Shaanxi Materials Analysis and Research Center School of Materials Science and EngineeringNorthwestern Polytechnical UniversityXi'anPeople's Republic of China School of Environmental and Safety Engineering North University of ChinaTaiyuanPeople's Republic of China Department of Materials Science and Engineering College of MaterialsXiamen UniversityXiamenFujianPeople's Republic of China Department of Nanoengineering University of California San DiegoLa JollaCaliforniaUSA SEU-FEI Nano-Pico Center Key Laboratory of MEMS of Ministry of EducationSoutheast UniversityNanjingPeople's Republic of China

Potassium-ion batteries(PIBs)are considered promising alternatives to lithium-ion batteries owing to cost-effective potassium resources and a suitable redox potential of-2.93 V(vs.-3.04 V for Li+/Li).However,the exploration of appro-priate electrode materials with the correct size for reversibly accommodating large K+ions presents a significant *** addition,the reaction mecha-nisms and origins of enhanced performance remain ***,tetragonal FeSe nanoflakes of different sizes are designed to serve as an anode for PIBs,and their live and atomic-scale potassiation/depotassiation mechanisms are revealed for the first time through in situ high-resolution transmission electron *** found that FeSe undergoes two distinct structural evolutions,sequen-tially characterized by intercalation and conversion reactions,and the initial intercalation behavior is *** expansion induced by the intercalation of K+ions is observed in small-sized FeSe nanoflakes,whereas unexpected cracks are formed along the direction of ionic diffusion in large-sized *** significant stress generation and crack extension originating from the combined effect of mechanical and electrochemical interactions are elucidated by geometric phase analysis and finite-element *** the different intercalation behaviors,the formed products of Fe and K_(2)Se after full potassiation can be converted back into the original FeSe phase upon *** particular,small-sized nanoflakes exhibit better cycling perfor-mance with well-maintained structural *** article presents the first successful demonstration of atomic-scale visualization that can reveal size-dependent potassiation ***,it provides valuable guidelines for optimizing the dimensions of electrode materials for advanced PIBs.

关键词： elucidated by geometric phase analysis and finite-element analysis. Despite the different intercalation behaviors the formed products of Fe and K 2 Se after full potassiation can be converted back into the original FeSe phase upon depotassiation. In particular small-sized nanoflakes exhibit better cycling perfor- mance with well-maintained structural integrity. This article presents the first successful demonstration of atomic-scale visualization that can reveal size- dependent potassiation dynamics. Moreover it provides valuable guidelines for optimizing the dimensions of electrode materials for advanced PIBs. keyWOR DS in situ transmission electron microscopy potassium-ion batteries potassium-ion storage mechanism size-dependent effects tetragonal FeSe

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