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Force Sensitive Resistors-Based Real-Time Posture Detection System Using Machine Learning Algorithms

Computers, Materials & Continua 2023年第11期77卷 1795-1814页

作者： Arsal Javaid areeb abbas Jehangir Arshad Mohammad Khalid Imam Rahmani Sohaib Tahir Chauhdary Mujtaba Hussain Jaffery Abdulbasid S.Banga Department of Electrical and Computer Engineering COMSATS University IslamabadLahore CampusLahore54000Pakistan College of Computing and Informatics Saudi Electronic UniversityRiyadh11673Saudi Arabia Department of Electrical and Computer Engineering College of EngineeringDhofar UniversitySalalah211Oman

To detect the improper sitting posture of a person sitting on a chair,a posture detection system using machine learning classification has been proposed in this *** addressed problem correlates to the third Sustainable Development Goal(SDG),ensuring healthy lives and promoting well-being for all ages,as specified by the World Health Organization(WHO).An improper sitting position can be fatal if one sits for a long time in the wrong position,and it can be dangerous for ulcers and lower spine *** novel study includes a practical implementation of a cushion consisting of a grid of 3×3 force-sensitive resistors(FSR)embedded to read the pressure of the person sitting on ***,the Body Mass Index(BMI)has been included to increase the resilience of the system across individual physical variances and to identify the incorrect postures(backward,front,left,and right-leaning)based on the five machine learning algorithms:ensemble boosted trees,ensemble bagged trees,ensemble subspace K-Nearest Neighbors(KNN),ensemble subspace discriminant,and ensemble RUSBoosted *** proposed arrangement is novel as existing works have only provided simulations without practical implementation,whereas we have implemented the proposed design in *** results validate the proposed sensor placements,and the machine learning(ML)model reaches a maximum accuracy of 99.99%,which considerably outperforms the existing *** proposed concept is valuable as it makes it easier for people in workplaces or even at individual household levels to work for long periods without suffering from severe harmful effects from poor posture.

关键词： Posture detection FSR sensor machine learning real-time KNN

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State of Health Estimation of LiFePO_(4) Batteries for Battery Management Systems

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Computers, Materials & Continua 2022年第11期73卷 3149-3164页

作者： areeb Khalid Syed Abdul Rahman Kashif Noor Ul Ain Ali Nasir Department of Electrical Engineering University of Engineering and TechnologyLahorePakistan Department of Electrical Engineering University of Central PunjabLahorePakistan

When considering the mechanism of the batteries,the capacity reduction at storage(when not in use)and cycling(during use)and increase of internal resistance is because of degradation in the chemical composition inside the *** optimize battery usage,a battery management system(BMS)is used to estimate possible aging effects while different load profiles are requested from the *** is specifically seen in a case when the vehicle is connected to the net(online through BMS).During this process,the BMS chooses the optimized load profiles based on the least aging effects on the battery *** major focus of this paper is to design an algorithm/model for lithium iron phosphate(LiFePO4)*** model of the batteries is based on the accelerated aging test data(data from the beginning of life till the end of life).The objective is to develop an algorithm based on the actual battery trend during the whole life of the *** the analysis of the test data,the complete trend of the battery aging and the factors on which the aging is depending on is identified,the aging model can then be recalibrated to avoid any differences in the production process during cell *** validation of the model was carried out at the end by utilizing different driving profiles at different C-rates and different ambient temperatures.A Linear and non-linear model-based approach is used based on statistical *** parameterization was carried out by dividing the data into small chunks and estimating the parameters for the individual ***-adaptive characteristic map using a lookup table was also *** nonlinear model was chosen as the best candidate among all other approaches for longer validation of 8-month data with real driving data set.

关键词： Aging model state of health lithium-ion cells battery management system state of charge battery modeling

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Active case detection using bi-valent malaria rapid diagnostic test in non-transmission season impacts upcoming malaria transmission

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Asian Pacific Journal of Tropical Medicine 2024年第11期17卷 519-522页

作者： Hari Shankar Syed Shah areeb Hussain Mrigendra Pal Singh Sobhan Phookan Kuldeep Singh Neelima Mishra Indian Council of Medical Research Ansari NagarNew Delhi-110029India ICMR-National Institute of Malaria Research DwarkaNew DelhiIndia ICMR-National Institute of Malaria Research Field Station GuwahatiAssamIndia

Despite a considerable global effort to eradicate malaria in the last few years,the disease burden in 2020 was 241 million,with 627000 *** accounted for 83%of cases reported in the World Health Organization(WHO)South-East Asia Region(WHO malaria report 2021).Nevertheless,India has shown its commitment to eliminating malaria from the country by framing the National Strategic Plan(NSP),according to which the districts have been stratified into four categories based on the malaria transmission intensity and the indicator used for categorization of the districts was annual parasite incidence(API).In North-East India,many highly endemic districts(API>2)are in the“Intensified Control Phase”and fall under category栿[1].A few pockets in such districts have disproportionate(API>10)due to forest and tribal dominance in those *** previous reports demonstrated a high malaria burden(API>10)in the district East Garo Hills[2];however,a few pockets of the district Udalguri are malaria hotspots with the API>5[3].

关键词： malaria district season

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Exploring Novel Therapeutic Breakthroughs for Cancers:Potential Roles of miRNAs

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Proceedings of Anticancer Research 2024年第5期8卷 11-24页

作者： Muhammad Abubakar Rooma Ayyoub Baqaur Rehman Muhammad Naeem Kiani Usama Ahmed Jawaria Farooq areeb Anwar Usmani Department of Biosciences COMSATS University IslamabadPark RdIslamabad Capital Territory 45550Pakistan Guangdong Key Laboratory of Biomedical Measurements and Ultrasound Imaging School of Biomedical EngineeringShenzhen University Medical SchoolShenzhen UniversityShenzhen 518060China Department of Medicine School of Biomedical EngineeringShenzhen University Medical SchoolShenzhen 518060PR China Department of Zoology The Government Sadiq College Women University BahawalpurPakistan Research Coordinator Department of SurgeryAga Khan University and Hospital KarachiPakistan

MicroRNAs(miRNAs)are small non-coding RNAs,19-25 nucleotides in length,that regulate gene *** are involved in various cellular,biological,and pathological activities,including the development and progression of malignant *** studies have highlighted the significant roles of miRNA deregulation in various cancer types,involving critical pathways such as gene deletions and amplifications,abnormal epigenetic changes,and dysfunctional miRNA regulatory *** can function both as oncogenes and tumor suppressor genes in different *** cancer hallmarks are associated with deregulated miRNAs,including resistance to cell death,metastasis,sustained proliferative signaling,promotion of angiogenesis,and the suppression of growth *** research has demonstrated that miRNAs contribute to drug resistance in tumor cells by targeting genes linked to drug resistance or by influencing genes that regulate the cell cycle,apoptosis,and proliferation.A single miRNA often has tissue-specific regulatory functions and can affect multiple *** miRNA types have been identified as potential biomarkers for tumor diagnosis and critical targets for novel therapeutic *** review aims to explore the role of miRNAs in cancer progression,metastasis,and potential therapeutic interventions.

关键词： MicroRNAs Cancer Treatment

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