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Epidemiology of electrical burns and its impact on quality of life-the developing world scenario

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World Journal of Critical Care Medicine 2022年第1期11卷 58-69页

作者： Giriraj Gandhi atul parashar Ramesh K Sharma Department of Plastic Surgery Post Graduate Institute of Medical Education and ResearchChandigarh 160012India

BACKGROUND Electrical burns are devastating injuries and can cause deep burns with significant morbidity and delayed *** data regarding the etiology,socioeconomic differences and geographic variation are necessary to assess the disease burden and plan an effective preventive *** severe injuries often lead to amputations and thus hamper quality of life in the long term AIM To identify the population at maximum risk of sustaining electrical *** also studied the impact of electrical burns on these patients in terms of quality of life as well as return to *** The study was conducted at a tertiary referral teaching hospital over a period of eighteen *** patients with a history of sustaining electrical burns and satisfying the inclusion criteria were included in the *** relevant epidemiological parameters and treatment details were *** patients were subsequently followed up at 3 mo,6 mo and 9 *** standardized Brief Version of the Burn Specic Health Scale(BSHS-B)was adopted to assess quality of *** analysis was conducted using IBM SPSS statistics(version 22.0).A P value of<0.05 was considered statistically *** A total of 103 patients were included in the *** mean age of the patients was 31.83 years(range 18-75 years).A significant majority(91.3%)of patients were *** mean total body surface area(TBSA)in these patients was 21.1%.In most of the patients(67%),the injury was *** voltage injuries were implicated in 72.8%of *** the 75 high voltage burn patients,31(41%)required *** mean number of surgeries the patients underwent in hospital was 2.03(range 1 to 4).The quality of life parameters amongst the patients sustaining high voltage electrical burns were poorer when compared to low voltage injuries at all follow-up intervals across nine *** eight of these domains,the difference was statistically ***,

关键词： Electrical burns Quality of life Amputation Return to work Occupational therapy High voltage injuries

Early debridement and delayed primary vascularized cover in forearm electrical burns: A prospective study

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World Journal of Critical Care Medicine 2016年第4期5卷 228-234页

作者： Aniruddh Mene Gautam Biswas atul parashar Anish Bhattacharya Department of Plastic Surgery Post Graduate Institute of Medical Education and Research Department of Nuclear Medicine Post Graduate Institute of Medical Education and Research

AIM To look into the management options of early debridement of the wound, followed by vascularized cover to bring in fresh blood supply to remaining tissue in electrical burns. METHODS A total of 16 consecutive patients sustaining full thickness forearm burns over a period of one year were included in the study group. Debridement was undertaken within 48 h in 13 patients. Three patients were taken for debridement after 48 h. Debridement was repeated within 2-4 d after daily wound assessment and need for further debridement. RESULTS On an average two debridements(range 1-4) was required in our patients for the wound to be ready for definitive cover. Interval between each debridement ranged from 2-18 d. Fourteen patients were provided vascularized cover after final debridement(6 free flaps, 8 pedicled flaps). Functional assessment of gross hand function done at 6 wk, 2 mo, 3 mo and 6 mo follow-up. CONCLUSION High-tension electrical burns lead to significant morbi-dity. These injuries are best managed by early decompression followed by multiple serial debridements. The ideal timing of free flap coverage needs further investigation.

关键词： Early debridement Vascularized cover Electrical burns Forearm

An Integrated Analysis of Yield Prediction Models:A Comprehensive Review of Advancements and Challenges

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Computers, Materials & Continua 2024年第7期80卷 389-425页

作者： Nidhi parashar Prashant Johri Arfat Ahmad Khan Nitin Gaur Seifedine Kadry School of Computer Science and Engineering Galgotias UniversityGreater Noida203201India Department of Applied Data Science Noroff University CollegeKristiansand4612Norway Artificial Intelligence Research Center(AIRC) Ajman UniversityAjman346United Arab Emirates MEU Research Unit Middle East UniversityAmman11831Jordan Department of Computer Science College of ComputingKhon Kaen UniversityKhon Kaen40002Thailand

The growing global requirement for food and the need for sustainable farming in an era of a changing climate and scarce resources have inspired substantial crop yield prediction *** learning(DL)and machine learning(ML)models effectively deal with such *** research paper comprehensively analyses recent advancements in crop yield prediction from January 2016 to March *** addition,it analyses the effectiveness of various input parameters considered in crop yield prediction *** conducted an in-depth search and gathered studies that employed crop modeling and AI-based methods to predict crop *** total number of articles reviewed for crop yield prediction using ML,meta-modeling(Crop models coupled with ML/DL),and DL-based prediction models and input parameter selection is *** conduct the research by setting up five objectives for this research and discussing them after analyzing the selected research *** study is assessed based on the crop type,input parameters employed for prediction,the modeling techniques adopted,and the evaluation metrics used for estimatingmodel *** also discuss the ethical and social impacts of AI on ***,various approaches presented in the scientific literature have delivered impressive predictions,they are complicateddue to intricate,multifactorial influences oncropgrowthand theneed for accuratedata-driven ***,thorough research is required to deal with challenges in predicting agricultural output.

关键词： Machine learning crop yield prediction deep learning remote sensing long short-term memory time series prediction systematic literature review

Deep Learning Approach for Hand Gesture Recognition:Applications in Deaf Communication and Healthcare

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Computers, Materials & Continua 2024年第1期78卷 127-144页

作者： Khursheed Aurangzeb Khalid Javeed Musaed Alhussein Imad Rida Syed Irtaza Haider Anubha parashar Department of Computer Engineering College of Computer and Information SciencesKing Saud UniversityP.O.Box 51178Riyadh11543Kingdom of Saudi Arabia Department of Computer Engineering College of Computing and InformaticsUniversity of SharjahSharjah27272United Arab Emirates Laboratory Biomechanics and Bioengineering University of Technology of CompiegneCompiegne60200France Department of Computer Science and Engineering Manipal University JaipurJaipur303007India

Hand gestures have been used as a significant mode of communication since the advent of human *** facilitating human-computer interaction(HCI),hand gesture recognition(HGRoc)technology is crucial for seamless and error-free *** technology is pivotal in healthcare and communication for the deaf *** significant advancements in computer vision-based gesture recognition for language understanding,two considerable challenges persist in this field:(a)limited and common gestures are considered,(b)processing multiple channels of information across a network takes huge computational time during discriminative feature ***,a novel hand vision-based convolutional neural network(CNN)model named(HVCNNM)offers several benefits,notably enhanced accuracy,robustness to variations,real-time performance,reduced channels,and ***,these models can be optimized for real-time performance,learn from large amounts of data,and are scalable to handle complex recognition tasks for efficient human-computer *** proposed model was evaluated on two challenging datasets,namely the Massey University Dataset(MUD)and the American Sign Language(ASL)Alphabet Dataset(ASLAD).On the MUD and ASLAD datasets,HVCNNM achieved a score of 99.23% and 99.00%,*** results demonstrate the effectiveness of CNN as a promising HGRoc *** findings suggest that the proposed model have potential roles in applications such as sign language recognition,human-computer interaction,and robotics.

关键词： Computer vision deep learning gait recognition sign language recognition machine learning

Multi-dimensional information-driven many-objective software remodularization approach

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Frontiers of Computer Science 2023年第3期17卷 45-62页

作者： Amarjeet PRAJAPATI Anshu parashar Amit RATHEE Department of Computer Science Engineering&Information Technology Jaypee Istitute of Information TechnologyNoida 201307India Department of Computer Science&Engineering Thapar Institute of Engineering&TechnologyPunjab 147004India Department of Computer Science Government College BarotaHaryana 131301India

Most of the search-based software remodularization(SBSR)approaches designed to address the software remodularization problem(SRP)areutilizing only structural information-based coupling and cohesion quality ***,in practice apart from these quality criteria,there require other aspects of coupling and cohesion quality criteria such as lexical and changed-history in designing the modules of the software ***,consideration of limited aspects of software information in the SBSR may generate a sub-optimal modularization ***,such modularization can be good from the quality metrics perspective but may not be acceptable to the *** produce a remodularization solution acceptable from both quality metrics and developers’perspectives,this paper exploited more dimensions of software information to define the quality criteria as modularization ***,these objectives are simultaneously optimized using a tailored manyobjective artificial bee colony(MaABC)to produce a remodularization *** assess the effectiveness of the proposed approach,we applied it over five software *** obtained remodularization solutions are evaluated with the software quality metrics and developers view of *** demonstrate that the proposed software remodularization is an effective approach for generating good quality modularization solutions.

关键词： software restructuring remodularization multiobjective optimization software coupling and cohesion

Electrical properties of bulk and nano Li_(2)TiO_(3) ceramics:A comparative study

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Journal of Advanced Ceramics 2014年第2期3卷 89-97页

作者： Umasankar DASH Subhanarayan SAHOO Paritosh CHAUDHURI S.K.S.parashar Kajal parashar School of Applied Sciences KIIT UniversityBhubaneswar-751024India Department of Electrical and Electronics Engineering Trident Academy of TechnologyBhubaneswar-751024India Institute for Plasma Research BhatGandhinagar-382428India

Nanocrystalline and bulk Li_(2)TiO_(3) having monoclinic structure were prepared by mechanical alloying as well as conventional ceramic *** impedance analysis in the frequency range of 100 Hz-1 MHz over a wide range of temperature(50-500℃)indicates the presence of grain boundary effect along with the bulk *** frequency-dependent conductivity plots exhibit power law dependence,suggesting three types of conduction in the material:low-frequency(100 Hz-1 kHz)conductivity showing long-range translational motion of electrons(frequency independent),mid-frequency(1-10 kHz)conductivity showing short-range hopping of charge carriers and high-frequency(10 kHz-1 MHz)conductivity showing conduction due to localized orientation of hopping *** electrical conductivity measurement of nanocrystalline and bulk Li_(2)TiO_(3) with temperature shows the negative temperature coefficient of resistance(NTCR)*** activation energy(0.77 eV for nano sample and 0.88 eV for bulk sample)study shows the conduction mechanism in both *** low activation energies of the samples suggest the presence of singly ionized oxygen vacancies in the conduction process.

关键词： nanocrystalline complex impedance spectroscopy(CIS) AC conductivity X-ray diffraction(XRD)

Effect of hydroalcoholic leaf extract of Cassia fistula *** typeⅡcollagen-induced arthritis in rats

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Asian Pacific Journal of Tropical Biomedicine 2023年第5期13卷 195-204页

作者： Vineet Mehta Priyanka Nagu Arun parashar Manjusha Chaudhary Department of Pharmacology Govt.College of PharmacyRohruShimlaHimachal Pradesh 171207India Department of Pharmaceutics Govt.College of PharmacyRohruShimlaHimachal Pradesh 171207India School of Pharmaceutical Sciences Shoolini UniversitySolan Himachal Pradesh 173229India Institute of Pharmaceutical Sciences Kurukshetra UniversityKurukshetraHaryana 136119India

Objective:To explore the effect of Cassia fistula on collagenⅡ-induced arthritis in ***:The effect of 250 and 500 mg/kg chloroform and hydroalcoholic extract of Cassia fistula leaf on collagenⅡ-induced arthritis was investigated by evaluating paw volume,arthritis index,spleen index,and biochemical *** analysis and docking study were also ***:A dose-dependent reduction in paw volume,arthritic index,and spleen index was observed following oral administration of the chloroform and hydroalcoholic *** with Cassia fistula extracts reduced tumor necrosis factor-α,interleukin(IL)-1β,IL-6,prostaglandin E_(2),aspartate aminotransferase,alanine aminotransferase,total leucocyte count,and erythrocyte sedimentation rate while increasing IL-10 *** addition,Cassia fistula extracts improved joint architecture,and prevented cartilage and bone *** analysis demonstrated that the physcion,1-octacosanol,5,3’,4’-trihydroxy-6-methoxy-7-O-α-Lrhamnopyranosyl-(1,2)-O-β-D-galactopyranoside and scopoletin may be responsible for the anti-arthritic effect of Cassia ***:Cassia fistula suppresses the progression of collagenⅡ-induced arthritis by lowering the inflammatory factors,decreasing paw volume and arthritic index,and alleviating joint ***,further studies are required to confirm the bioactive molecule responsible for the anti-arthritic potential of Cassia fistula.

关键词： Cassia fistula Rheumatoid arthritis CollagenⅡ Inflammatory cytokines Docking

CaTiO_(3) nano ceramic for NTCR thermistor based sensor application

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Journal of Advanced Ceramics 2014年第2期3卷 117-124页

作者： Subhanarayan SAHOO S.K.S.parashar S.M.ALI School of Electrical Engineering KIIT UniversityBhubaneswar-751024India Department of Electrical and Electronics Engineering Trident Academy of TechnologyBhubaneswar-751024India School of Applied Sciences KIIT UniversityBhubaneswar-751024India

It is possible to fabricate highly sensitive NTCR(negative temperature coefficient of resistance)thermistor using nano crystalline CaTiO_(3) synthesized by high energy ball *** shaped green pellets were prepared and effects of sintering on the disc pellets were studied as thermistor by sintering the samples at 1000℃,1100℃and 1200℃.The as-prepared samples were characterized by X-ray diffraction(XRD),impedance analysis and electrical *** resistivity of the prepared samples varies predictably with temperature:this makes them promising material for temperature *** experimental results prove that nano crystalline CaTiO_(3) ceramic is one kind of thermistor with exponential negative temperature coefficient of resistance in the temperature range of 300-500℃.The samples have the advantages of rapid response,high sensitivity and capability to withstand thermal surges over the temperature range of 300-500℃.Resistance-temperature characteristics are described by thermistor equation with thermistor constant around 4003 K to 10795 K and thermal coefficient of resistanceαaround-1%/℃to-13%/℃.The activation energy is in the range of 0.34-0.93 *** observed thermistor parameters are found to be comparable with many of the known thermistor *** suggests that the electrical properties can be adjusted to desirable values by controlling the temperature *** influence of fabrication process of disc thermistor and electrical properties are *** study shows the potential of nano crystalline CaTiO_(3) to act as an NTCR material for thermistor applications.

关键词： CaTiO_(3) thermistor sensitivity index temperature coefficient

Driving Style Recognition System Using Smartphone Sensors Based on Fuzzy Logic

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Computers, Materials & Continua 2021年第11期69卷 1967-1978页

作者： Nidhi Kalra Raman Kumar Goyal Anshu parashar Jaskirat Singh Gagan Singla Department of Computer Science and Engineering Thapar Institute of Engineering and TechnologyPatiala147001PunjabIndia Computer Science and Engineering University Institute of Engineering and TechnologyPanjab University160014ChandigarhIndia

Every 24 seconds,someone dies on the road due to road accidents and it is the 8th leading cause of death and the first among children aged 15–29 years.1.35 million people globally die every year due to road traffic *** additional 20–50 million suffer from non-fatal injuries,often resulting in longterm *** costs around 3%of Gross Domestic Product to most countries,and it is a considerable economic *** governments have taken various measures such as better road infrastructures and strict enforcement of motor-vehicle laws to reduce these ***,there is still no remarkable reduction in the number of *** ensure driver safety and achieve vision of zero accidents,there is a great need to monitor drivers’driving *** of the existing driving behavior monitoring solutions are based on expensive hardware *** most people are using smartphones in the modern era,a system based on mobile application is proposed,which can reduce the cost for developing intelligent transport systems(ITS)to a large *** this paper,we utilize the accelerometer sensor data and the global positioning system(GPS)sensor deployed in smartphones to recognize driving and speeding events.A driving style recognition system based on fuzzy logic is designed to classify different driving styles and control reckless driving by taking the longitudinal/lateral acceleration and speed as input ***,the proposed system uses fuzzy logic rather than taking the crisp values of the *** indicate that the proposed system can classify reckless driving based on fuzzy logic and,therefore,reduce the number of accidents.

关键词： Fuzzy logic accelerometer global positioning system driving style