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Modelling an Efficient Clinical Decision Support System for Heart Disease Prediction Using Learning and Optimization Approaches

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Computer Modeling in Engineering & Sciences 2022年第5期131卷 677-694页

作者： Sridharan kannan Department of Computer Science and Engineering J K K Munirajah College of TechnologyErode638506India

With the worldwide analysis,heart disease is considered a significant threat and extensively increases the mortality ***,the investigators mitigate to predict the occurrence of heart disease in an earlier stage using the design of a better Clinical Decision Support System(CDSS).Generally,CDSS is used to predict the individuals’heart disease and periodically update the condition of the *** research proposes a novel heart disease prediction system with CDSS composed of a clustering model for noise removal to predict and eliminate ***,the Synthetic Over-sampling prediction model is integrated with the cluster concept to balance the training data and the Adaboost classifier model is used to predict heart ***,the optimization is achieved using the Adam Optimizer(AO)model with the publicly available dataset known as the Stalog *** flowis used to construct the model,and the evaluation is done with various prevailing approaches like Decision tree,Random Forest,Logistic Regression,Naive bayes and so *** statistical analysis is done with theWilcoxon rank-summethod for extracting the p-value of the *** observed results show that the proposed model outperforms the various existing approaches and attains efficient prediction *** model helps physicians make better decisions during complex conditions and diagnose the disease at an earlier ***,the earlier treatment process helps to eliminate the death ***,simulation is done withMATLAb 2016b,and metrics like accuracy,precision-recall,F-measure,p-value,ROC are analyzed to show the significance of the model.

关键词： Heart disease clinical decision support system over-sampling Adaboost classifier adam optimizer Wilcoxon ranking model

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Smart mid-infrared metasurface microspectrometer gas sensing system

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Microsystems & Nanoengineering 2024年第3期10卷 273-281页

作者： Jiajun Meng Sivacarendran balendhran Ylias Sabri Suresh K.bhargava Kenneth b.Crozier School of Physics University of MelbourneVictoriaAustralia Australian Research Council(ARC)Centre of Excellence for Transformative Meta-Optical Systems(TMOS) University of MelbourneVictoriaAustralia Centre for Advanced Materials&Industrial Chemistry(CAMIC) STEM collegeRMIT UniversityVictoriaAustralia Department of Electrical and Electronic Engineering University of MelbourneVictoriaAustralia

Smart,low-cost and portable gas sensors are highly desired due to the importance of air quality monitoring for environmental and defense-related ***,electrochemical and nondispersive infrared(IR)gas sensors are designed to detect a single specific *** IR spectroscopy-based sensors provide superior performance,their deployment is limited due to their large size and high *** this study,a smart,low-cost,multigas sensing system is demonstrated consisting of a mid-infrared microspectrometer and a machine learning *** microspectrometer is a metasurface filter array integrated with a commercial IR camera that is consumable-free,compact(~1 cm^(3))and lightweight(~1 g).The machine learning algorithm is trained to analyze the data from the microspectrometer and predict the gases *** system detects the greenhouse gases carbon dioxide and methane at concentrations ranging from 10 to 100%with 100%*** also detects hazardous gases at low concentrations with an accuracy of 98.4%.Ammonia can be detected at a concentration of 100 ***,methyl-ethyl-ketone can be detected at its permissible exposure limit(200 ppm);this concentration is considered low and *** study demonstrates the viability of using machine learning with IR spectroscopy to provide a smart and low-cost multigas sensing platform.

关键词： Smart gases system

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Mitigating Urban Heat Island Effects: A Review of Innovative Pavement Technologies and Integrated Solutions

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Structural Durability & Health Monitoring 2024年第5期18卷 525-551页

作者： S.F.Ismael A.H.Alias N.A.Haron b.b.Zaidan Abdulrahman M.Abdulghani Department of Civil Engineering Faculty of EngineeringUniversiti Putra MalaysiaSerdang43400Malaysia Central Region Heavy Civil DivisionGranite ConstructionWoodlandsTexas77381USA SP Jain School of Global Management LidcombeSydneyNSW2141Australia Department of Communication Technology and Network Faculty of Computer Science and Information TechnologyUniversiti Putra MalaysiaSerdang43400Malaysia

In this review paper,we present a thorough investigation into the role of pavement technologies in advancing urban *** analysis traverses the historical evolution of these technologies,meticulously evaluating their socio-economic and environmental impacts,with a particular emphasis on their role in mitigating the urban heat island *** evaluation of pavement types and variables inﬂuencing pavement performance to be used in the multi-criteria decision-making(MCDM)framework to choose the optimal pavement application are at the heart of our *** serves to assess a spectrum of pavement options,revealing insights into the most effective and sustainable *** highlighting both the existing challenges and potential innovative solutions within theﬁeld,this paper aims to offer a directional compass for future urban planning and infrastructural *** review not only synthesizes the current state of knowledge but also aims to chart a course for future exploration,emphasizing the critical need for innovative and environmentally sensitive pavement tech-nologies in the creation of resilient and sustainable urban environments.

关键词： Pavement sustainability urban heat island environmental impact of pavements innovative pavement solutions economic and social implications sustainable development in urban areas

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Selective and Adaptive Incremental Transfer Learning with Multiple Datasets for Machine Fault Diagnosis

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Computers, Materials & Continua 2024年第1期78卷 1363-1379页

作者： Kwok Tai Chui brij b.Gupta Varsha Arya Miguel Torres-Ruiz School of Science and Technology Hong Kong Metropolitan UniversityHong Kong999077China Department of Computer Science and Information Engineering Asia UniversityTaichung41354Taiwan Center for Advanced Information Technology Kyung Hee UniversitySeoul02447Korea Symbiosis Centre for Information Technology Symbiosis International UniversityPuneMaharashtra411042India Department of Electrical and Computer Engineering Lebanese American UniversityBeirut1102Lebanon School of Computing Skyline University CollegeSharjah1797United Arab Emirates Department of business Administration Asia UniversityTaichung41354Taiwan Center for Interdisciplinary Research University of Petroleum and Energy StudiesDehradun248007India Department of Computer Science&Engineering Chandigarh UniversityChandigarh160036India Centro de Investigación en Computación Instituto Politécnico NacionalUPALM-ZacatencoMexico City07320Mexico

The visions of Industry 4.0 and 5.0 have reinforced the industrial *** have also made artificial intelligence incorporated as a major *** machine faults has become a solid foundation for automatically recognizing machine failure,and thus timely maintenance can ensure safe *** learning is a promising solution that can enhance the machine fault diagnosis model by borrowing pre-trained knowledge from the source model and applying it to the target model,which typically involves two *** response to the availability of multiple datasets,this paper proposes using selective and adaptive incremental transfer learning(SA-ITL),which fuses three algorithms,namely,the hybrid selective algorithm,the transferability enhancement algorithm,and the incremental transfer learning *** is a selective algorithm that enables selecting and ordering appropriate datasets for transfer learning and selecting useful knowledge to avoid negative *** algorithm also adaptively adjusts the portion of training data to balance the learning rate and training *** proposed algorithm is evaluated and analyzed using ten benchmark *** with other algorithms from existing works,SA-ITL improves the accuracy of all *** studies present the accuracy enhancements of the SA-ITL,including the hybrid selective algorithm(1.22%-3.82%),transferability enhancement algorithm(1.91%-4.15%),and incremental transfer learning algorithm(0.605%-2.68%).These also show the benefits of enhancing the target model with heterogeneous image datasets that widen the range of domain selection between source and target domains.

关键词： Deep learning incremental learning machine fault diagnosis negative transfer transfer learning

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Skeletal stem cells in bone development,homeostasis,and disease

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Protein & Cell 2024年第8期15卷 559-574页

作者： Guixin Yuan Xixi Lin Ying Liu Matthew b.Greenblatt Ren Xu The First Affliated Hospital of Xiamen University-ICMRS Collaborating Center for Skeletal Stem Cell State Key Laboratory of Cellular Stress BiologySchool of MedicineFaculty of Medicine and Life SciencesXiamen UniversityXiamen 361005China Xiamen Key Laboratory of Regeneration Medicine Fujian Provincial Key Laboratory of Organ and Tissue RegenerationOrgan Transplantation InstituteSchool of MedicineXiamen UniversityXiamen 361102China Department of Pathology and Laboratory Medicine Weill Cormell Medical CollegeNew YorkNY 10065USA Research Division Hospital for Special SurgeryNew YorkNY10065USA

Tissue-resident stem cells are essential for development and repair,and in the skeleton,this function is fulfilled by recently identified skeletal stem cells(SSCs).However,recent work has identified that SSCs are not monolithic,with long bones,craniofacial sites,and the spine being formed by distinct stem *** studies have utilized techniques such as fluorescence-activated cell sorting,lineage tracing,and single-cell sequencing to investigate the involvement of ssCs in bone development,homeostasis,and *** investigations have allowed researchers to map the lineage commitment trajectory of ssCs in different parts of the body and at different time ***,recent studies have shed light on the characteristics of ssCs in both physiological and pathological *** review focuses on discussing the spatiotemporal distribution of ssCs and enhancing our understanding of the diversity and plasticity of ssCs by summarizing recent discoveries.

关键词： skeletal stem cells bone development endochondral ossification intramembranous ossification lineage tracing

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Dynamics of a two-group model for assessing the impacts of pre-exposure prophylaxis,testing and risk behaviour change on the spread and control of HIV/AIDS in an MSM population

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Infectious Disease Modelling 2024年第1期9卷 103-127页

作者： Queen Tollett Salman Safdar Abba b.Gumel School of Mathematical and Statistical Sciences Arizona State UniversityTempeAZ85287USA Department of Mathematics University of KarachiUniversity Road75270Pakistan Department of Mathematics University of MarylandCollege ParkMD20742USA Department of Mathematics and Applied Mathematics University of PretoriaPretoria0002South Africa

Although much progress has been made in reducing the public health burden of the human immunodeficiency virus(HIV),which causes acquired immunodeficiency syndrome(AIDS),since its emergence in the 1980s(largely due to the large-scale use and availability of potent antiviral therapy,improved diagnostic and intervention and mitigation measures),HIV remains an important public health challenge globally,including in the United *** study is based on the use of mathematical modeling approaches to assess the population-level impact of pre-exposure prophylaxis(PrEP),voluntary testing(to detect undetected HIV-infected individuals),and changes in human behavior(with respect to risk structure),on the spread and control of HIV/AIDS in an MSM(men-who-have sex-with-men)***,a novel two-group mathematical model,which stratifies the total MSM population based on risk(low or high)of acquisition of HIV infection,is *** model undergoes a PrEP-induced backward bifurcation when the control reproduction number of the model is less than one if the efficacy of PrEP to prevent a high-risk susceptible MSM individual from acquiring HIV infection is not perfect(the consequence of which is that,while necessary,having the reproduction number of the model less than one is no longer sufficient for the elimination of the disease in the MSM population).For the case where the efficacy of PrEP is perfect,this study shows that the disease-free equilibrium of the two-group model is globally-asymptotically stable when the associated control reproduction number of the model is less than *** sensitivity analysis was carried out to identify the main parameters of the model that have the highest influence on the value of the control reproduction number of the model(thereby,having the highest influence on the disease burden in the MSM population).Numerical simulations of the model,using a plausible range of parameter values,show that if half of the MSM population co

关键词： HIV/AIDS MS MHigh(low)-risk groups PrEP behavior change Antiviral treatment Control reproduction number

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Enhancing IoT Data Security with Lightweight blockchain and Okamoto Uchiyama Homomorphic Encryption

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Computer Modeling in Engineering & Sciences 2024年第2期138卷 1731-1748页

作者： Mohanad A.Mohammed Hala b.Abdul Wahab Computer Science Department The University of TechnologyBaghdadIraq

blockchain technology has garnered significant attention from global organizations and researchers due to its potential as a solution for centralized system ***,the Internet of Things(IoT)has revolutionized the Fourth Industrial Revolution by enabling interconnected devices to offer innovative services,ultimately enhancing human *** paper presents a new approach utilizing lightweight blockchain technology,effectively reducing the computational burden typically associated with conventional blockchain *** integrating this lightweight blockchain with IoT systems,substantial reductions in implementation time and computational complexity can be ***,the paper proposes the utilization of the Okamoto Uchiyama encryption algorithm,renowned for its homomorphic characteristics,to reinforce the privacy and security of IoT-generated *** integration of homomorphic encryption and blockchain technology establishes a secure and decentralized platformfor storing and analyzing sensitive data of the supply chain *** platformfacilitates the development of some business models and empowers decentralized applications to perform computations on encrypted data while maintaining data *** results validate the robust security of the proposed system,comparable to standard blockchain implementations,leveraging the distinctive homomorphic attributes of the Okamoto Uchiyama algorithm and the lightweight blockchain paradigm.

关键词： blockchain IoT integration of IoT and blockchain consensus algorithm Okamoto Uchiyama homomorphic encryption lightweight blockchain

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APPROXIMATELY ARTINIAN （NOETHERIAN） C*-ALGEbRAS

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Acta Mathematica Scientia 2024年第6期44卷 2485-2497页

作者： Mohammad ROUZbEHANI Massoud AMINI Mohammad b.ASADI School of Mathematics Statistics and Computer ScienceCollege of ScienceUniversity of Tehran Department of Mathematics Faculty of Mathematical SciencesTarbiat Modares University School of Mathematics Institute for Research in Fundamental Sciences (IPM)

In this article,we introduce and study the class of approximately Artinian（Noetherian） C*-algebras,called AR-algebras（AN-algebras）,which is a simultaneous generalization of Artinian（Noetherian） C*-algebras and *** study properties such as the ideal property and topological dimension zero for *** particular,we show that a faithful AR or AN algebra is strongly purely infinite iff it is purely infinite iff it is weakly purely *** extends the Kirchberg's O∞-absorption theorem,and implies that a weakly purely infinite C*-algebra is Noetherian iff every its ideal has a full projection.

关键词： (weakly) purely infinite 46L05 46L80 Artinian C*-algebra graph C*-algebra ideal property inductive limit Noetherian

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Efficacy of adjuvant mitomycin-C and triamcinoloneimpregnated nasal packing for endoscopic dacryocystorhinostomy

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International Journal of Ophthalmology(English edition) 2024年第3期17卷 480-484页

作者： Sang Yoon Kim Christopher b Chambers Jung Hyo Ahn Department of Ophthalmology Pusan National University Yangsan HospitalPusan National University School of MedicineResearch Institute for Convergence of Biomedical Science and TechnologyYangsanGyeongnam 50612Republic of Korea Department of Ophthalmology Harborview Medical CenterUniversity of Washington MedicineSeattleWashington 98109USA

●AIM:To compare the success rate and complications of adjuvant use of mitomycin C and triamcinoloneimpregnated biodegradable nasal packing(TAbP)in endoscopic dacryocystorhinostomy(DCR).And to evaluate the efficacy of combining intraoperative mitomycin C and TAbP for endoscopic DCR.●METHODS:A total of 198 eyes of 148 patients who underwent endoscopic DCR for acquired nasolacrimal duct obstruction were retrospectively *** patients were randomly divided into three groups:Group A included patients treated without intraoperative mitomycin C but with TAbP,Group b included patients treated without triamcinolone but with intraoperative mitomycin C and normal saline-impregnated nasal packing,and Group C included patients treated with intraoperative mitomycin C and TAbP.●RESULTS:The results revealed no significant difference in the overall success rates between Groups A(86.8%)and b(89.2%;P=0.377).However,Group C(97.5%)showed a significantly higher overall success rate than Groups A and *** incidence of granulomas was significantly lower in group C(5%)than in Groups A(20.8%)and b(15.2%;P=0.009).Other complications,such as crust,synechiae,and revision surgery,did not differ significantly among the three groups.●CONCLUSION:The combination of intraoperative mitomycin C and TAbP effectively prevents granulomas and enhances surgical success ***,there is no statistically significant difference observed between the use of mitomycin C or TAbP alone.

关键词： dacryocystorhinostomy endoscopic mitomycin C triamcinolone biodegradable

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A metabolic signalling role for arginine in liver cancer

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Life Metabolism 2024年第1期3卷 1-3页

作者： David Sokolov Lucas b.Sullivan Human biology Division Fred Hutchinson Cancer CenterSeattleWA 98109United States

In addition to their canonical roles in biosynthetic pathways,metabolites can be active participants in oncogenic signal-ling,but our understanding of these signalling mechanisms is *** a recent article published in Cell,Mossmann et *** a novel signalling role for accumulated arginine in hepato-cellular carcinoma(HCC)mediated by the RNA splicing factor and transcriptional modifier RNA-binding protein 39(RbM39).

关键词： incomplete cancer

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