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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

Excellent photoluminescence and electrochemical properties of Sm^(3+) doped Ca_(2)MgSi_(2)O_(7) nanophosphor:Display and electrochemical sensor applications

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Journal of Rare Earths 2024年第6期42卷 1046-1055,I0002页

作者： R.B.Basavaraj K.sureshkumar D.P.Aarti M.B.Madhusudana Reddy G.Nagaraju T.Ramakrishnappa G.R.Navyashree K.R.Venkatesha Babu K.S.Hemalatha Department of Physics BMS Institute of Technology and ManagementBangalore560064India Department of Chemistry BMS Institute of Technology and ManagementBangalore560064India Department of Chemistry School of Applied SciencesREVA UniversityBangalore560064India Energy Materials ResearchLaboratory Department of ChemistrySiddaganga Institute of TechnologyTumakuru57203KarnatakaIndia School of Physical Sciences REVA UniversityBangalore560057Indi Department of Physics Govt.Science CollegeBengaluru560001India Department of Physics Maharani Science College for WomenMaharani Cluster UniversityBengaluru560001India

A series of orange-red light emitting Ca_(2)MgSi_(2)O_(7):Sm^(3+)nanopowders were fabricated via low-cost ecofriendly green combustion technique using Aloe vera gel as *** phase purity of the samples were confirmed by the powder X-ray diffraction(PXRD)*** single-phase tetragonal structure is observed from the PXRD results with no additional impurity *** band gap energy of the fabricated powders was estimated by diffuse reflectance spectra(DRS)and is found to be in the range of 4.01-5.98 eV.A high resolution scanning electron microscope(SEM)was used to study the morphological behaviour of the ***-like structures are observed from the SEM *** particle size was evaluated by transmission electron microscopy(TEM)and is found to be~50 *** interplanar distance is found to be 0.53 *** properties were systematically studied in *** phosphors are successfully excited at 403 nm NUV light,producing reddish-orange characteristic *** emission peaks are centered at 558(^(4)G_(5/2)→^(6)H_(5/2)),607(^(4)G_(5/2)→^(6)H_(7/2))and 645 nm(^(4)G_(5/2)→^(6)H_(9/2)),*** the observed peaks the red emanation(^(4)G_(5/2)→^(6)H_(7/2))is stronger than the orange emission(^(4)G_(5/2)→^(6)H_(5/2))in the current *** photoluminescent concentration quenching is noticed above 5 mol%Sm^(3+)ion doping *** dipole-dipole interaction resulting in cross relaxation is found to be the principal cause of concentration quenching *** color features such as Commission Internationale de I’Eclairage(CIE)and correlated color temperature(CCT)were studied in *** optimized chromaticity coordinates were estimated to be(0.6363,0.3632),which fall in the reddish-orange *** average CCT value obtained is 3362 *** average color purity is found to be~82%.Sm^(3+)incorporated Ca_(2)MgSi_(2)O_(7) samples are possible contender for single white light generation commercial candidates owing to

关键词： Green combustion Photoluminescence Orange-red emission Color purity Sensors Rare earths

Optimized Deep Learning Model for Effective Spectrum Sensing in Dynamic SNR Scenario

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Computer Systems Science & Engineering 2023年第5期45卷 1279-1294页

作者： G.Arunachalam P.sureshkumar Department of Electronics and Communication Engineering Gnanamani College of TechnologyNamakkalTamil NaduIndia Department of Electrical and Electronics Engineering Mahendra Engineering College(Autonomous)NamakkalTamil NaduIndia

The main components of Cognitive Radio networks are Primary Users(PU)and Secondary Users(SU).The most essential method used in Cognitive networks is Spectrum Sensing,which detects the spectrum band and opportunistically accesses the free white areas for different *** the free spaces helps to increase the spectrum *** the existing spectrum sensing techniques such as energy detectors,cyclo-stationary detectors suffer from various problems such as complexity,non-responsive behaviors under low Signal to Noise Ratio(SNR)and computational overhead,which affects the performance of the sensing *** algorithms such as Long-Short Term Memory(LSTM),Convolutional Neural Networks(CNN),and Recurrent Neural Networks(RNN)play an important role in designing intelligent spectrum sensing techniques due to the excellent learning ability of deep learning frameworks,but still require improvisation in terms of sensing accuracy under dynamic environmental *** paper,we propose the novel and hybrid CNN-Cuttle-Fish Optimized Long Short Term Memory(COLSTM),an improved version of LSTM that is well suited for the dynamic changes of environmental SNR with less computational overhead and *** proposed COLSTM based spectrum sensing technique exploits the various statistical features from spectrum data of PU to improve the sensing ***,the addition of shuttle-fish optimization in LSTM has reduced the computational overhead and complexity which in turn enhanced the sensing *** proposed methodology is validated on spectrum data acquired using RaspberryPi-RTLSDR experimental *** proposed spectrum sensing technique and the existing classical spectrum sensing techniques are *** results show that the proposed scheme has shown the brighter enhancement of performance under different SNR ***,the improvised performance has been achieved at low complexity and low computational over

关键词： Spectrum sensing cuttle-fish long short term memory raspberry pilow SNR convolutional neural networks

Brain Tumor:Hybrid Feature Extraction Based on UNet and 3DCNN

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Computer Systems Science & Engineering 2023年第5期45卷 2093-2109页

作者： sureshkumar Rajagopal Tamilvizhi Thanarajan Youseef Alotaibi Saleh Alghamdi Center for System Design Chennai Institute of TechnologyChennai600069India Department of Information Technology Vel Tech Multi Tech Dr.Rangarajan Dr.Sakunthala Engineering CollegeChennai600062India Department of Computer Science College of Computer and Information SystemsUmm Al-Qura UniversityMakkah21955Saudi Arabia Department of Information Technology College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia

Automated segmentation of brain tumors using Magnetic Resonance Imaging(MRI)data is critical in the analysis and monitoring of disease *** a result,gliomas are aggressive and diverse tumors that may be split into intra-tumoral groups by using effective and accurate segmentation *** is intended to extract characteristics from an image using the Gray Level Co-occurrence(GLC)matrix feature extraction method described in the proposed *** Convolutional Neural Networks(CNNs),which are commonly used in biomedical image segmentation,CNNs have significantly improved the precision of the state-of-the-art segmentation of a brain *** two segmentation networks,a U-Net and a 3D CNN,we present a major yet easy combinative technique that results in improved and more precise *** U-Net and 3D CNN are used together in this study to get better and more accurate estimates of what is going *** the dataset,two models were developed and assessed to provide segmentation maps that differed fundamentally in terms of the segmented tumour ***,the estimates was made by two separate models that were put together to produce the final *** comparison to current state-of-the-art designs,the precision(percentage)was 98.35,98.5,and 99.4 on the validation set for tumor core,enhanced tumor,and whole tumor,respectively.

关键词： Medical imaging segmentation U-net 3D CNN brain tumor

Tuna classification using super learner ensemble of region-based CNN-grouped 2D-LBP models

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Information Processing in Agriculture 2022年第1期9卷 68-79页

作者： Jisha Anu Jose C.Sathish Kumar S.sureshkumar Rajiv Gandhi Institute of Technology KottayamIndia Government Engineering College IdukkiIndia Kerala University of Fisheries and Ocean Studies KochiIndia

Tuna is superior among the marine fishes that are exported in the forms of raw fish and processed *** of Tuna into their species is done in industries manually,and the process is *** work proposes an automated system for classifying Tuna spe-cies based on their *** ensemble of region-based deep neural networks is used.A sub region contrast stretching operation is applied to enhance the *** fish image is then divided into three regions and is augmented before giving as input to pre-trained convolutional neural networks(CNN).After fine-tuning the models,the output from the last convolutional layer is given to a grouped 2D-local binary pattern descriptor(G2DLBP).Statistical features from the descriptor are applied to different classifiers,and the best clas-sifier for each image region model is *** ensemble methods are subse-quently used to combine the three CNN-G2DLBP *** the ensemble techniques,super learner ensemble method with random forest(RF)classifier using 5-fold cross-validation shows the highest classification accuracy of 97.32%.The perfor-mance of different ensemble methods is analyzed in terms of accuracy,precision,recall,and *** proposed system shows an accuracy of 93.91% when evaluated with an independent test *** ensemble of region-based CNN with textural features from G2DLBP is applied for the first time for fish classification.

关键词： Tuna classification Convolutional neural network Grouped 2D-local binary pattern Super learner ensemble

A rare presentation of Guillain-Barre syndrome with GQ1b positivity:A case report

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Asian Pacific Journal of Tropical Medicine 2022年第7期15卷 332-334页

作者： Minu George Neena Baby Pradeep Mathew Koshy Rajendran Ullatil sureshkumar Radhakrishnan Department of Neurology Renai Medicity Multi Super Speciality HospitalKochiKeralaIndia Department of Nephrology Renai Medicity Multi Super Speciality HospitalKochiKeralaIndia Department of General Medicine Renai Medicity Multi Super Speciality HospitalKochiKeralaIndia

Rationale:To report a case of cervicobrachial variant of acute inflammatory demyelinating polyneuropathy presenting with papilledema and GQ1b *** concern:A 35-year-old female,68 days postpartum,presented with headache,vomiting,and gait difficulty in swallowing with bilateral upper limb weakness and difficulty in walking,13 days after ChAdOx1 nCoV-19 ***:Guillain-Barre syndrome with GQ1b ***:Five cycles of plasmapheresis were ***:The patient’s clinical condition *** weakness improved and she could walk without *** were mild sensory symptoms involving upper limbs which gradually ***:AIDP should be considered in case of weakness following ChAdOx1 nCoV-19 ***-cytological dissociation and anti-GQ1b positivity are needed to confirmed the diagnosis.

关键词： ChAdOx1nCoV-19 Papilledema Albuminocytological dissociation Guillain-Barre syndrome Acute inflammatory demyelinating polyneuropathy

Complexes and complexities: INO80 takes center stage

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Molecular Plant 2021年第11期14卷 1776-1778页

作者： Sridevi sureshkumar sureshkumar Balasubramanian School of Biological Sciences Monash UniversityVIC 3800Australia

Chromatin remodeling and transcriptional reprogramming are key mechanisms through which plants respond to environmental *** dynamics associated with the pres-ence/absence(incorporation/eviction)of the histone variant H2A.Z is one of the key chromatin remodeling mechanisms associated with environmental response(Coleman-Derr and Zilberman,2012).Very recently,some excellent papers(Shang et al.,2021;Willige et al.,2021;Xue et al.,2021)have addressed the role of a less-explored component of this chromatin remodeling-the INO80 ***,we discuss novel insights revealed in these papers and their potential impacts.

关键词： complex. programming insight

Adaptive Butterfly Optimization Algorithm(ABOA)Based Feature Selection and Deep Neural Network(DNN)for Detection of Distributed Denial-of-Service(DDoS)Attacks in Cloud

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Computer Systems Science & Engineering 2023年第10期47卷 1109-1123页

作者： S.sureshkumar G.K.D.Prasanna Venkatesan R.Santhosh Department of Computer Science and Engineering Karpagam Academy of Higher EducationCoimbatore641021India Dean Engineering Faculty EngineeringKarpagam Academy of Higher EducationCoimbatore641021India Department of Computer Science and Engineering Faculty of EngineeringKarpagam Academy of Higher EducationCoimbatore641021India

Cloud computing technology provides flexible,on-demand,and completely controlled computing resources and services are highly *** this,with its distributed and dynamic nature and shortcomings in virtualization deployment,the cloud environment is exposed to a wide variety of cyber-attacks and security *** Intrusion Detection System(IDS)is a specialized security tool that network professionals use for the safety and security of the networks against attacks launched from various *** attacks are becoming more frequent and powerful,and their attack pathways are continually changing,which requiring the development of new detection *** the purpose of the study is to improve detection *** Selection(FS)is *** the same time,the IDS’s computational problem is limited by focusing on the most relevant elements,and its performance and accuracy *** this research work,the suggested Adaptive butterfly optimization algorithm(ABOA)framework is used to assess the effectiveness of a reduced feature subset during the feature selection phase,that was motivated by this motive *** classification is not compromised by using an ABOA *** design of Deep Neural Networks(DNN)has simplified the categorization of network traffic into normal and DDoS threat ***’s parameters can be finetuned to detect DDoS attacks better using specially built *** reconstruction error,no exploding or vanishing gradients,and reduced network are all benefits of the changes outlined in this *** it comes to performance criteria like accuracy,precision,recall,and F1-Score are the performance measures that show the suggested architecture outperforms the other existing *** the proposed ABOA+DNN is an excellent method for obtaining accurate predictions,with an improved accuracy rate of 99.05%compared to other existing approaches.

关键词： Cloud computing distributed denial of service intrusion detection system adaptive butterfly optimization algorithm deep neural network

Refining the Role of Simultaneous Liver Kidney Transplantation

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Journal of Clinical and Translational Hepatology 2018年第3期6卷 289-295页

作者： Sabiha M.Hussain Kalathil K.sureshkumar Division of Nephrology and Hypertension Department of MedicineAllegheny General HospitalAllegheny Health NetworkPittsburghPAUSA

Adoption of the model for end-stage liver disease score by Organ Procurement and Transplant Network(OPTN)deceased donor liver allocation policy in 2002 has led to an increase in the number of simultaneous liver kidney(SLK)*** kidney function recovery following liver transplantation is difficult to predict,al ocation of the kidney for SLK trans-plantation thus far has not been based on much rationale and *** of OPTN policy towards SLK organ allocation has resulted in great variations among transplant centers regarding SLK *** use of kidneys towards SLK transplantation diverts deceased donor kidneys away from candidates awaiting kidney-alone *** OPTN/United Network of Organ Sharing has imple-mented medical eligibility criteria for adult SLK transplantation which also includes a concept of safety *** of the new policy is a move in a positive direction,providing consistency in our practice and evidence-based guidelines in selecting candidates for SLK *** policy needs to be monitored prospectively and modified based on new data that wil emerge over *** review outlines the literature on SLK transplantation and efforts towards developing rational policy on SLK organ allocation.

关键词： Liver kidney transplantation Graft survival MELD score Creatinine GFR