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Discovering hidden patterns:Association rules for cardiovascular diseases in type 2 diabetes mellitus

World Journal of Methodology 2024年第2期14卷 97-106页

作者： Pradeep Kumar Dabla kamal upreti Dharmsheel Shrivastav Vimal Mehta Divakar Singh Department of Biochemistry Govind Ballabh Pant Institute of Postgraduate Medical Education and ResearchDelhi 110002India Department of Computer Science CHRISTGhaziabad 201003India Department of Cardiology Govind Ballabh Pant Institute of Postgraduate Medical Education and ResearchDelhi 110002India Barkatullah University Institute of Technology Barkatullah UniversityBhopal 462026India

BACKGROUND It is increasingly common to find patients affected by a combination of type 2 diabetes mellitus(T2DM)and coronary artery disease(CAD),and studies are able to correlate their relationships with available biological and clinical *** aim of the current study was to apply association rule mining(ARM)to discover whether there are consistent patterns of clinical features relevant to these *** leverages clinical and laboratory data to the meaningful patterns for diabetic CAD by harnessing the power help of data-driven algorithms to optimise the decision-making in patient *** To reinforce the evidence of the T2DM-CAD interplay and demonstrate the ability of ARM to provide new insights into multivariate pattern *** This cross-sectional study was conducted at the Department of Biochemistry in a specialized tertiary care centre in Delhi,involving a total of 300 consented subjects categorized into three groups:CAD with diabetes,CAD without diabetes,and healthy controls,with 100 subjects in each *** participants were enrolled from the Cardiology IPD&OPD for the sample *** study employed ARM technique to extract the meaningful patterns and relationships from the clinical data with its original *** The clinical dataset comprised 35 attributes from enrolled *** analysis produced rules with a maximum branching factor of 4 and a rule length of 5,necessitating a 1%probability increase for *** patterns emerged,highlighting strong links between health indicators and diabetes likelihood,particularly elevated HbA1C and random blood sugar *** ARM technique identified individuals with a random blood sugar level>175 and HbA1C>6.6 are likely in the“CAD-with-diabetes”group,offering valuable insights into health indicators and influencing factors on disease *** The application of this method holds promise for healthcare practitioners to offer valuable insights for enhanc

关键词： Coronary artery disease Type 2 diabetes mellitus Coronary angiography Association rule mining Artificial intelligence

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A Comprehensive Survey on Federated Learning in the Healthcare Area: Concept and Applications

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Computer Modeling in Engineering & Sciences 2024年第9期140卷 2239-2274页

作者： Deepak upreti Eunmok Yang Hyunil Kim Changho Seo Department of Convergence Science Kongju National UniversityChungcheongnam-doGongju-si32588South Korea Department of Information Security Cryptologyand MathematicsKookmin UniversitySeoul02707South Korea Department of Information and Communication Engineering Chosun UniversityGwangju61452South Korea Basic Science Research Institution Kongju National UniversityChungcheongnam-doGongju-si32588South Korea

Federated learning is an innovative machine learning technique that deals with centralized data storage issues while maintaining privacy and *** involves constructing machine learning models using datasets spread across several data centers,including medical facilities,clinical research facilities,Internet of Things devices,and even mobile *** main goal of federated learning is to improve robust models that benefit from the collective knowledge of these disparate datasets without centralizing sensitive information,reducing the risk of data loss,privacy breaches,or data *** application of federated learning in the healthcare industry holds significant promise due to the wealth of data generated from various sources,such as patient records,medical imaging,wearable devices,and clinical research *** research conducts a systematic evaluation and highlights essential issues for the selection and implementation of federated learning approaches in *** evaluates the effectiveness of federated learning strategies in the field of *** offers a systematic analysis of federated learning in the healthcare domain,encompassing the evaluation metrics *** addition,this study highlights the increasing interest in federated learning applications in healthcare among scholars and provides foundations for further studies.

关键词： Federated learning artificial intelligence machine learning privacy healthcare

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Acoustofluidic scanning fluorescence nanoscopy with a large field of view

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Microsystems & Nanoengineering 2024年第3期10卷 159-167页

作者： Geonsoo Jin Neil upreti Joseph Rich Jianping Xia Chenglong Zhao Tony Jun Huang Thomas Lord Department of Mechanical Engineering and Materials Science Duke UniversityDurhamNC 27708USA Department of Biomedical Engineering Duke UniversityDurhamNC 27708USA The MITRE Corporation McLeanVA 22102USA

Large-field nanoscale fluorescence imaging is invaluable for many applications,such as imaging subcellular structures,visualizing protein interactions,and high-resolution tissue ***,conventional fluorescence microscopy requires a trade-off between resolution and field of view due to the nature of the optics used to form the *** overcome this barrier,we developed an acoustofluidic scanning fluorescence nanoscope that simultaneously achieves superior resolution,a large field of view,and strong fluorescent *** acoustofluidic scanning fluorescence nanoscope utilizes the superresolution capabilities of microspheres that are controlled by a programmable acoustofluidic device for rapid fluorescence enhancement and *** acoustofluidic scanning fluorescence nanoscope resolves structures that cannot be resolved with conventional fluorescence microscopes with the same objective lens and enhances the fluorescent signal by a factor of~5 without altering the field of view of the *** improved resolution realized with enhanced fluorescent signals and the large field of view achieved via acoustofluidic scanning fluorescence nanoscopy provides a powerful tool for versatile nanoscale fluorescence imaging for researchers in the fields of medicine,biology,biophysics,and biomedical engineering.

关键词： field resolution utilize

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Nonlinear system dynamics of calcium and nitric oxide due to cell memory and superdiffusion in neurons

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Communications in Theoretical Physics 2024年第5期76卷 16-32页

作者： Anand Pawar kamal Raj Pardasani Department of Mathematics Bioinformatics and Computer ApplicationsMaulana Azad National Institute of TechnologyBhopal-462003Madhya PradeshIndia

The integer-order interdependent calcium([Ca^(2+)])and nitric oxide(NO)systems are unable to shed light on the influences of the superdiffusion and memory in triggering Brownian motion(BM)in ***,a mathematical model is constructed for the fractional-order nonlinear spatiotemporal systems of[Ca^(2+)]and NO incorporating reaction-diffusion equations in *** two-way feedback process between[Ca^(2+)]and NO systems through calcium feedback on NO production and NO feedback on calcium through cyclic guanosine monophosphate(cGMP)with plasmalemmal[Ca^(2+)]-ATPase(PMCA)was incorporated in the *** Crank–Nicholson scheme(CNS)with Grunwald approximation along spatial derivatives and L1 scheme along temporal derivatives with Gauss–Seidel(GS)iterations were *** numerical outcomes were analyzed to get insights into superdiffusion,buffer,and memory exhibiting BM of[Ca^(2+)]and NO *** conditions,events and mechanisms leading to dysfunctions in calcium and NO systems and causing different diseases like Parkinson’s were explored in neurons.

关键词： [Ca^(2+)]and nitric oxide signaling reaction-diffusion equations fractional-order systems Grunwald approximation Gauss-Seidel iterations

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Special Properties of Morita Contexts

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Algebra Colloquium 2024年第2期31卷 309-322页

作者： kamal Paykan L.A.Bokut Department of Mathematics Tafresh UniversityTafreshIran 不详

In this paper we continue the study of various ring theoretic properties of Morita *** and sufficient conditions are obtained for a general Morita context or a trivial Morita context or a formal triangular matrix ring to satisfy a certain ring property which is among being Kasch,completely primary,quasi-duo,2-primal,NI,semiprimitive,projective-free,*** also characterize when a general Morita context is weakly principally quasi-Baer or strongly right mininjective.

关键词： Morita context formal triangular matrix ring Kasch quasi-duo Köthe's conjecture weakly principally quasi-Baer

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Ensuring Secure Platooning of Constrained Intelligent and Connected Vehicles Against Byzantine Attacks:A Distributed MPC Framework

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Engineering 2024年第2期33卷 35-46页

作者： Henglai Wei Hui Zhang kamal AI-Haddad Yang Shi Department of Mechanical Engineering University of VictoriaVictoriaBC V8W 3P6Canada School of Transportation Science and Engineering Beihang UniversityBeijing 100191China École de Technologie Supérieure University of QuebecMontrealQC H3C 1K3Canada

This study investigates resilient platoon control for constrained intelligent and connected vehicles(ICVs)against F-local Byzantine *** introduce a resilient distributed model-predictive platooning control framework for such *** framework seamlessly integrates the predesigned optimal control with distributed model predictive control(DMPC)optimization and introduces a unique distributed attack detector to ensure the reliability of the transmitted information among ***,our strategy uses previously broadcasted information and a specialized convex set,termed the“resilience set”,to identify unreliable *** approach significantly eases graph robustness prerequisites,requiring only an(F+1)-robust graph,in contrast to the established mean sequence reduced algorithms,which require a minimum(2F+1)-robust ***,we introduce a verification algorithm to restore trust in vehicles under minor attacks,further reducing communication network *** analysis demonstrates the recursive feasibility of the DMPC ***,the proposed method achieves exceptional control performance by minimizing the discrepancies between the DMPC control inputs and predesigned platoon control inputs,while ensuring constraint compliance and *** results verify the effectiveness of our theoretical findings.

关键词： Model predictive control Resilient control Platoon control Intelligent and connected vehicle Byzantine attacks

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An acoustofluidic device for the automated separation of platelet-reduced plasma from whole blood

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Microsystems & Nanoengineering 2024年第3期10卷 293-303页

作者： Zhehan Ma Jianping Xia Neil upreti Emeraghi David Joseph Rufo Yuyang Gu Kaichun Yang Shujie Yang Xiangchen Xu Jean Kwun Eileen Chambers Tony Jun Huang Thomas Lord Department of Mechanical Engineering and Materials Science Duke UniversityDurhamNCUSA Department of Biomedical Engineering Duke UniversityDurhamNCUSA Department of Pediatrics Duke UniversityDurhamNCUSA Duke Transplant Center Department of SurgeryDuke University School of MedicineDurhamNCUSA

Separating plasma from whole blood is an important sample processing technique required for fundamental biomedical research,medical diagnostics,and therapeutic *** protocols for plasma isolation require multiple centrifugation steps or multiunit microfluidic processing to sequentially remove large red blood cells(RBCs)and white blood cells(WBCs),followed by the removal of small ***,we present an acoustofluidic platform capable of efficiently removing RBCs,WBCs,and platelets from whole blood in a single *** leveraging differences in the acoustic impedances of fluids,our device generates significantly greater forces on suspended particles than conventional microfluidic approaches,enabling the removal of both large blood cells and smaller platelets in a single *** a result,undiluted human whole blood can be processed by our device to remove both blood cells and platelets(>90%)at low voltages(25 Vpp).The ability to successfully remove blood cells and platelets from plasma without altering the properties of the proteins and antibodies present creates numerous potential applications for our platform in biomedical research,as well as plasma-based diagnostics and ***,the microfluidic nature of our device offers advantages such as portability,cost efficiency,and the ability to process small-volume samples.

关键词： remove separation removing

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SwinVid:Enhancing Video Object Detection Using Swin Transformer

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Computer Systems Science & Engineering 2024年第2期48卷 305-320页

作者： Abdelrahman Maharek Amr Abozeid Rasha Orban kamal ElDahshan Computer Science Department Faculty of Artificial Intelligence and InformaticsBenhaEgypt Mathematics Department Faculty of SciencesAl-Azhar UniversityCairoEgypt Department of Computer Science College of Science and Arts in QurayyatJouf UniversitySakakaSaudi Arabia

What causes object detection in video to be less accurate than it is in still images?Because some video frames have degraded in appearance from fast movement,out-of-focus camera shots,and changes in *** reasons have made video object detection(VID)a growing area of research in recent *** object detection can be used for various healthcare applications,such as detecting and tracking tumors in medical imaging,monitoring the movement of patients in hospitals and long-term care facilities,and analyzing videos of surgeries to improve technique and ***,it can be used in telemedicine to help diagnose and monitor patients *** VID techniques are based on recurrent neural networks or optical flow for feature aggregation to produce reliable features which can be used for *** of those methods aggregate features on the full-sequence level or from nearby *** create feature maps,existing VID techniques frequently use Convolutional Neural Networks(CNNs)as the backbone *** the other hand,Vision Transformers have outperformed CNNs in various vision tasks,including object detection in still images and image *** propose in this research to use Swin-Transformer,a state-of-the-art Vision Transformer,as an alternative to CNN-based backbone networks for object detection in *** proposed architecture enhances the accuracy of existing VID *** ImageNet VID and EPIC KITCHENS datasets are used to evaluate the suggested *** have demonstrated that our proposed method is efficient by achieving 84.3%mean average precision(mAP)on ImageNet VID using less memory in comparison to other leading VID *** source code is available on the website https://***/amaharek/SwinVid.

关键词： Video object detection vision transformers convolutional neural networks deep learning

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Is primary transcatheter aortic valve implantation the new normal?

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Journal of Geriatric Cardiology 2024年第4期21卷 458-461页

作者： R.Anantharaman C.Sundar kamal Kant Jena K.Arun Department of Cardiology Kauvery HospitalChennaiIndia

Degenerative calcific aortic valve stenosis(AS)is the most common valvular heart disease in elderly.^[1] It is well documented that symptomatic severe AS follows a malignant course leading to cardiogenic shock(CS).

关键词： aortic stenosis implantation

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SNR and RSSI Based an Optimized Machine Learning Based Indoor Localization Approach:Multistory Round Building Scenario over LoRa Network

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Computers, Materials & Continua 2024年第8期80卷 1927-1945页

作者： Muhammad Ayoub kamal Muhammad Mansoor Alam Aznida Abu Bakar Sajak Mazliham Mohd Su’ud Malaysian Institute of Information Technology(MIIT) Universiti Kuala LumpurKuala Lumpur50250Malaysia Faculty of Computing and Informatics Multimedia UniversityCyberjaya63100Malaysia Depertment of Computer Science DHA Suffa UniversityKarachiSindh75500Pakistan Riphah Institute of System Engineering(RISE) Faculty of ComputingRiphah International UniversityIslamabad46000Pakistan Malaysian France Institute(MFI) Universiti Kuala LumpurKuala Lumpur50250Malaysia Faculty of Engineering and Information Technology School of Computer ScienceUniversity of Technology SydneyUltimoNSW 2007Australia

In situations when the precise position of a machine is unknown,localization becomes *** research focuses on improving the position prediction accuracy over long-range(LoRa)network using an optimized machine learning-based *** order to increase the prediction accuracy of the reference point position on the data collected using the fingerprinting method over LoRa technology,this study proposed an optimized machine learning(ML)based *** signal strength indicator(RSSI)data from the sensors at different positions was first gathered via an experiment through the LoRa network in a multistory round layout *** noise factor is also taken into account,and the signal-to-noise ratio(SNR)value is recorded for every RSSI *** study concludes the examination of reference point accuracy with the modified KNN method(MKNN).MKNN was created to more precisely anticipate the position of the reference *** findings showed that MKNN outperformed other algorithms in terms of accuracy and complexity.

关键词： Indoor localization MKNN LoRa machine learning classification RSSI SNR localization

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