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Effectiveness of m-health technology-enabled physical activity program on physical activity adoption and adherence in people with hypertension in India:A randomized controlled trial protocol

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Chronic Diseases and Translational Medicine 2024年第2期10卷 92-101页

作者： vidhi Thakar Sureshkumar Kamalakannan v.prakash Ashok&Rita Patel Institute of Physiotherapy Charotar University of Science and TechnologyChangaAnandGujaratIndia Department of Social Work Education and Community-WellbeingNorthumbria UniversityNewcastle upon TyneUK

Background Exercise and medication have similar benefits in reducing blood pressure(BP);however,hypertension management initiatives primarily focus on *** is due to scarce research on the effectiveness of implementation strategies for optimal exercise adoption and *** were found to be effective in delivering hypertension care and increase exercise *** this,only a small number of research projects in India have used smartphones as a strategy for managing *** We hypothesized that smartphone application-based care would lead to higher exercise adherence among adults(30–79 years)with hypertension compared to those who receive usual *** will be a multicentric,randomized controlled,parallel-design,superiority clinical *** outcome assessor and data analyst will be blinded to group *** in the intervention group will receive mobile application-based care for 6 *** in the usual care group will receive a standard *** groups will receive the same number of *** The primary outcome is the difference in the proportion of people adherent to the recommended level of physical activity evaluated using an exercise adherence rating scale in the intervention group and the control *** adoption will be measured as the percentage of eligible participants in each study setting willing to initiate the exercise *** secondary outcome includes differences in systolic and diastolic BP and self-management(evaluated using the Hypertension Self-Care Profile).The trial outcome will be accompanied by a process *** This research will inform about the comparative effectiveness of conventional and m-health interventions for exercise adoption and adherence in people with hypertension in resource-constrained settings.

关键词： hypertension low-and middle-income countries m-health physical activity adherence

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Implementation of Hybrid Particle Swarm Optimization for Optimized Regression Testing

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Intelligent Automation & Soft Computing 2023年第6期36卷 2575-2590页

作者： v.prakash S.Gopalakrishnan SASTRA Deemed University KumbakonamTamilnadu613401India

Software test case optimization improves the efficiency of the software by proper structure and reduces the fault in the *** existing research applies various optimization methods such as Genetic Algorithm,Crow Search Algorithm,Ant Colony Optimization,etc.,for test case *** existing methods have limitations of lower efficiency in fault diagnosis,higher computa-tional time,and high memory *** existing methods have lower effi-ciency in software test case optimization when the number of test cases is *** research proposes the Tournament Winner Genetic Algorithm(TW-GA)method to improve the efficiency of software test case *** Information System(HIS)software was used to evaluate TW-GA model perfor-mance in test case *** tournament Winner in the proposed method selects the instances with the best fitness values and increases the exploitation of the search to find the optimal *** TW-GA method has higher exploita-tion that helps to find the mutant and equivalent mutation that significantly increases fault diagnosis in the *** TW-GA method discards the infor-mation with a lower fitness value that reduces the computational time and mem-ory *** TW-GA method requires 5.47 s and the MOCSFO method requires 30 s for software test case optimization.

关键词： Equivalent mutation fault diagnosis hospital information system software test case optimization tournament winner genetic algorithm

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Joint Rain Streaks & Haze Removal Network for Object Detection

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Computers, Materials & Continua 2024年第6期79卷 4683-4702页

作者： Ragini Thatikonda prakash Kodali Ramalingaswamy Cheruku Eswaramoorthy K.v Department of Electronics and Communication Engineering National Institute of TechnologyWarangal506004India Department of Computer Science and Engineering National Institute of TechnologyWarangal506004India Department of Electronics and Communication Engineering Indian Institute of Information TechnologyDesign and ManufacturingKurnool518008India

In the realm of low-level vision tasks,such as image deraining and dehazing,restoring images distorted by adverse weather conditions remains a significant *** emergence of abundant computational resources has driven the dominance of deep Convolutional Neural Networks(CNNs),supplanting traditional methods reliant on prior ***,the evolution of CNN architectures has tended towards increasing complexity,utilizing intricate structures to enhance performance,often at the expense of computational *** response,we propose the Selective Kernel Dense Residual M-shaped Network(SKDRMNet),a flexible solution adept at balancing computational efficiency with network accuracy.A key innovation is the incorporation of an M-shaped hierarchical structure,derived from the U-Net framework as M-Network(M-Net),within which the Selective Kernel Dense Residual Module(SDRM)is introduced to reinforce multi-scale semantic feature *** methodology employs two sampling techniques-bilinear and pixel unshuffled and utilizes a multi-scale feature fusion approach to distil more robust spatial feature map *** the reconstruction phase,feature maps of varying resolutions are seamlessly integrated,and the extracted features are effectively merged using the Selective Kernel Fusion Module(SKFM).Empirical results demonstrate the comprehensive superiority of SKDRMNet across both synthetic and real rain and haze datasets.

关键词： Image deraining Selective Dense Residual Module(SDRM) Selective Kernel Fusion Module(SKFM) Selective KernelDense Residual M-Shaped Network(SKDRMNet)

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Deep Learning-Based Classification of Rotten Fruits and Identification of Shelf Life

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Computers, Materials & Continua 2024年第1期78卷 781-794页

作者： S.Sofana Reka Ankita Bagelikar prakash venugopal v.Ravi Harimurugan Devarajan Centre for Smart Grid Technologies School of Electronics EngineeringVellore Institute of TechnologyChennai600127India School of Electronics Engineering Vellore Institute of TechnologyChennai600127India Department of Electrical Engineering Dr.B R Ambedkar National Institute of TechnologyJalandharPunjab144008India

The freshness of fruits is considered to be one of the essential characteristics for consumers in determining their quality,flavor and nutritional *** primary need for identifying rotten fruits is to ensure that only fresh and high-quality fruits are sold to *** impact of rotten fruits can foster harmful bacteria,molds and other microorganisms that can cause food poisoning and other illnesses to the *** overall purpose of the study is to classify rotten fruits,which can affect the taste,texture,and appearance of other fresh fruits,thereby reducing their shelf *** agriculture and food industries are increasingly adopting computer vision technology to detect rotten fruits and forecast their shelf ***,this research work mainly focuses on the Convolutional Neural Network’s(CNN)deep learning model,which helps in the classification of rotten *** proposed methodology involves real-time analysis of a dataset of various types of fruits,including apples,bananas,oranges,papayas and ***,machine learningmodels such as GaussianNaïve Bayes(GNB)and random forest are used to predict the fruit’s shelf *** results obtained from the various pre-trained models for rotten fruit detection are analysed based on an accuracy score to determine the best *** comparison to other pre-trained models,the visual geometry group16(vGG16)obtained a higher accuracy score of 95%.Likewise,the random forest model delivers a better accuracy score of 88% when compared with GNB in forecasting the fruit’s shelf *** developing an accurate classification model,only fresh and safe fruits reach consumers,reducing the risks associated with contaminated ***,the proposed approach will have a significant impact on the food industry for efficient fruit distribution and also benefit customers to purchase fresh fruits.

关键词： Rotten fruit detection shelf life deep learning convolutional neural network machine learning gaussian naïve bayes random forest visual geometry group16

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Higher Grain-Filling Rate in Inferior Spikelets of Tolerant Rice Genotype Offset Grain Yield Loss under Post-Anthesis High Night Temperatures

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Rice science 2024年第5期31卷 572-586,I0059-I0061页

作者： Nitin SHARMA Bhupinder SINGH Subbaiyan Gopala KRISHNAN Haritha BOLLINEDI Pranab Kumar MANDAL Milan Kumar LAL prakash Kumar JHA P.v.vara PRASAD Anjali ANAND Division of Plant Physiology Indian Council of Agricultural Research(ICAR)-Indian Agricultural Research Institute(IARI)New Delhi 110012India Division of Environment Science ICAR-IARINew Delhi 110012India Division of Genetics ICAR-IARINew Delhi 110012India ICAR-National Institute for Plant Biotechnology New Delhi 110012India Division of Crop Physiology and Biochemistry ICAR-National Rice Research InstituteCuttack 753006India Department of Plant and Soil Sciences Mississippi State UniversityStarkvilleMS 39762USA Feed the Future Innovation Lab for Collaborative Research on Sustainable Intensification Kansas State UniversityManhattanKS 66506USA Department of Agronomy Kansas State UniversityManhattanKS 66506USA

Increased nighttime respiratory losses decrease the amount of photoassimilates available for plant growth and yield. We hypothesized that the increased respiratory carbon loss under high night temperatures(HNT) could be compensated for by increased photosynthesis during the day following HNT exposure. Two rice genotypes, vandana(HNT-sensitive) and Nagina 22(HNT-tolerant), were exposed to HNT(4 ℃ above the control) from flowering to physiological maturity. They were assessed for alterations in the carbon balance of the source(flag leaf) and its subsequent impact on grain filling dynamics and the quality of spatially differentiated sinks(superior and inferior spikelets). Both genotypes exhibited significantly higher night respiration rates. However, only Nagina 22 compensated for the high respiration rates with an increased photosynthetic rate, resulting in a steady production of total dry matter under HNT. Nagina 22 also recorded a higher grain-filling rate, particularly at 5 and 10 d after flowering, with 1.5- and 4.0-fold increases in the translocation of ^(14)C sugars to the superior and inferior spikelets, respectively. The ratio of photosynthetic rate to respiratory rate on a leaf area basis was negatively correlated with spikelet sterility, resulting in a higher filled spikelet number and grain weight per plant, particularly for inferior grains in Nagina 22. Grain quality parameters such as head rice recovery, high-density grains, and gelatinization temperature were maintained in Nagina 22. An increase in the rheological properties of rice flour starch in Nagina 22 under HNT indicated the stability of starch and its ability to reorganize during the cooling process of product formation. Thus, our study showed that sink adjustments between superior and inferior spikelets favored the growth of inferior spikelets, which helped to offset the reduction in grain weight under HNT in the tolerant genotype Nagina 22.

关键词： high night temperature inferior grain pasting property radiolabeled sugar superior grain

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Higher Grain-Filling Rate in Inferior Spikelets of Tolerant Rice Genotype Offset Grain Yield Loss under Post-Anthesis High Night Temperatures

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Rice Science 2024年第05期 572-589页

作者： Nitin SHARMA Bhupinder SINGH Subbaiyan Gopala KRISHNAN Haritha BOLLINEDI Pranab Kumar MANDAL Milan Kumar LAL prakash Kumar JHA P.v.vara PRASAD Anjali ANAND Division of Plant Physiology Indian Council of Agricultural Research(ICAR)-Indian Agricultural Research Institute(IARI) Division of Environment Science ICAR-IARI Division of Genetics ICAR-IARI ICAR-National Institute for Plant Biotechnology Division of Crop Physiology and Biochemistry ICAR-National Rice Research Institute Department of Plant and Soil Sciences Mississippi State University Feed the Future Innovation Lab for Collaborative Research on Sustainable Intensification Kansas State University Department of Agronomy Kansas State University

Increased nighttime respiratory losses decrease the amount of photoassimilates available for plant growth and yield. We hypothesized that the increased respiratory carbon loss under high night temperatures（HNT） could be compensated for by increased photosynthesis during the day following HNT exposure. Two rice genotypes, vandana（HNT-sensitive） and Nagina 22（HNT-tolerant）, were exposed to HNT（4 ℃ above the control） from flowering to physiological maturity. They were assessed for alterations in the carbon balance of the source（flag leaf） and its subsequent impact on grain filling dynamics and the quality of spatially differentiated sinks（superior and inferior spikelets）. Both genotypes exhibited significantly higher night respiration rates. However, only Nagina 22 compensated for the high respiration rates with an increased photosynthetic rate, resulting in a steady production of total dry matter under HNT. Nagina 22 also recorded a higher grain-filling rate, particularly at 5 and 10 d after flowering, with 1.5- and 4.0-fold increases in the translocation of14C sugars to the superior and inferior spikelets, respectively. The ratio of photosynthetic rate to respiratory rate on a leaf area basis was negatively correlated with spikelet sterility, resulting in a higher filled spikelet number and grain weight per plant, particularly for inferior grains in Nagina 22. Grain quality parameters such as head rice recovery, high-density grains, and gelatinization temperature were maintained in Nagina 22. An increase in the rheological properties of rice flour starch in Nagina 22 under HNT indicated the stability of starch and its ability to reorganize during the cooling process of product formation. Thus, our study showed that sink adjustments between superior and inferior spikelets favored the growth of inferior spikelets, which helped to offset the reduction in grain weight under HNT in the tolerant genotype Nagina 22.

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Secure Data Sharing with Confidentiality,Integrity and Access Control in Cloud Environment

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Computer Systems Science & Engineering 2022年第2期40卷 779-793页

作者： v.Rajkumar M.prakash v.vennila Department of Computer Science and Engineering Krishnasamy College of Engineering and Technology(Affiliated to Anna UniversityChennai)Cuddalore607109India Department of Computer Science and Engineering School of ComputingSRM Institute of Science&TechnologyKattankulathur603203India Department of Computer Science and Engineering K.S.R.College of Engineering(Affiliated to Anna UniversityChennai)Tiruchengode637215India

Cloud storage is an incipient technology in today’s *** of security in cloud environment is one of the primary challenges faced these *** scenario poses new security issues and it forms the crux of the current *** current study proposes Secure Interactional Proof System(SIPS)to address this *** methodology has a few key essential components listed herewith to strengthen the security such as authentication,confidentiality,access control,integrity and the group of components such as AvK Scheme(Access List,verifier and Key Generator).It is challenging for every user to prove their identity to the verifier who maintains the access *** is conducted by following Gulliou-Quisquater protocol which determines the security level of the user in multi-step authentication ***,RSA algorithm performs the key generation process while the proposed methodology provides data integrity as well as confidentiality using asymmetric *** methodological operations such as time consumption have been used as performance evaluators in the proposed SIPS *** proposed solution provides a secure system for firm data sharing in cloud environment with confidentiality,authentication and access *** Timed Petri(STPN)Net evaluation tool was used to verify and prove the formal analysis of SIPS *** evidence established the effectiveness of the proposed methodology in secure data sharing in cloud environment.

关键词： Secure interactional proof system access control multi-step authentication Gulliou-Quisquater protocol

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Inter laminar shear strength behavior of acid,base and silane treated E-glass fibre epoxy resin composites on drilling process

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Defence Technology（防务技术） 2017年第1期13卷 40-46页

作者： v.R.Arun prakash A.Rajadurai Department of Production Technology MITAnna UniversityChennai 600 044India Faculty Department of Production TechnologyMITAnna UniversityChennai 600 044India

In this present work siliconized e-glass fibre reinforced epoxy resin composite has been prepared and compared with acid and base treated e-glass fibre epoxy composites to know the significant advantage of silane treatment on fibre. The composites were fabricated by laying 20, 30 and 40vol% of e-glass fibre into epoxy resin matrix. The e-glass fibre woven mat was surface treated by an amine functional coupling agent 3-Aminopropyletrimethoxysilane(APTMS). The fibres were surface treated by aqueous solution method and thermo assisted to create silinol groups. Similarly for acid treatment H_2SO_4 and base treatment Na OH with 1N concentration was used for surface treating the fibres. Effectiveness of silane treatment on glass fibre was compared by inter laminar shear strength test according to ASTM D *** process with varying diameter drill bit and varying cutting speed was applied to check the composites for their delamination resistance while machining. Maximum improvement of 15%, 12.5% and9%(20, 30 and 40 vol %) on ILSS was achieved for siliconized e-glass fibre reinforced epoxy *** scanning electron microscopy images revealed that no fibre pull out was present on fractured surfaces of composites which contains siliconized e-glass fibre. Similarly better dimensional accuracy was achieved on drilling process for composites contains siliconized e-glass fibre.

关键词： Polymer matrix composites Surface treatment ILSS SEM

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Antidiabetic and anti-lipemic effects of Cassia siamea leaves extract in streptozotocin induced diabetic rats

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Asian Pacific Journal of Tropical Medicine 2010年第11期3卷 871-873页

作者： S Kumar v Kumar Om prakash Institute of Pharmaceutical Sciences Kurukshetra UniversityKurukshetra -136119HaryanaIndia

Objective:To investigate the antidiabetic and anti-lipemic effects of Cassia siamea methanolic leaves ***:The antidiabetic study was performed by measuring blood glucose level with elegance glucometer at weekly intervals i.e.0,7,14 and 21 in normal and streptozotocin induced diabetic *** cholesterol,triglyceride and HDL-cholesterol were determined in normal and streptozotocin induces diabetic rats by *** was used as a reference drug at a dose of 10 mg/***:After the oral administration of extracts at doses of 250 mg/kg and 500 mg/kg for three weeks,blood glucose levels and body weights were significantly improved(Pvel was found to be improved to(Pvel as well as improving lipid metabolism and body weight in rats with induced diabetes.

关键词： Cassia siamea Antidiabetic Anti-lipemic Rat Streptozotocin

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Isolation and identification of MDR-Mycobacterium tuberculosis and screening of partially characterised antimycobacterial compounds from chosen marine micro algae

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Asian Pacific Journal of Tropical Medicine 2010年第8期3卷 655-661页

作者： prakash S Sasikala SL Aldous v Huxley J Department of Biotechnology Udaya School of Engineering.K.K.Dist.Tamil Nadu.India Centre for Marine Science and Technology Manonmaniam Sundaranar UniversityRajakkamangalamK.K.Dist.Tamil NaduIndia Department of Zoology Thiru.Vi.Ka.Government Arts CollegeThiruvarur.Tamil NaduIndia

Objective:To isolate the multiple drug resistance(MDR) Mycobacterium tuberculosis(M. tuberculosis) and to screen for the bioactive compounds extracted from marine microalgae. Methods:Sixty seven collected samples that were confirmed by 16S rDNA analysis as positive with *** infection were subjected to sensitivity test against commercially used front line and second line drugs by absolute concentration method using LJ *** bacterial isolates numbered I-78,I-101,I-127,I-173,I-202,I-262,I-327 showed resistant for more than 3 drugs were considered as MDR *** the percentage of 10.4 were recorded MDR-TB. Fifteen marine micro algal extracts were screened for antimycobacterial activity and partial characterization of the active principles was ***:The percentage contribution of marine micro algal species on the extraction of antimycobacterials indicated Isochrysis galbana(I. galbana) contain rich bioactive compounds and accounted for 60%inhibition of the total isolates. The percentage contribution of solvents on the extraction of antimicrobials from *** showed that the methanol,chloroform,n-Butanol showed maximum of *** purified eluted compounds(R,0.43) from TLC plate were chromatographed by gas *** eluted sterol compounds showed 13 unsaturated sterols with 3 major ***:The present study indicates the presence of unsaturated fatty acids may have the effect on MDR M. tuberculosis,indicating a potential natural alternative to antibiotics.

关键词： Antimycobacterials Marine micro algae Mycobacterium tuberculosis

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