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International Journal of Mental Health Promotion 2024年第5期26卷 389-398页

作者： Divya P.vijayan Tokani Ghuhato Eslavath Rajkumar Allen Joshua George Romate John John Abraham Department of Psychology Central University of KarnatakaKalaburagi585367India Department of Liberal Arts Indian Institute of Technology BhilaiChhattisgarh491002India Liberal Arts&Sciences Indian Institute of Management RanchiJharkhand834001India Department of Family Medicine/Geriatrics St.John’s National Academy of Health SciencesBangalore560034India

‘Selfie’taking was introduced to the common people by smartphones and has become a common practice across the globe in no *** technological advancement and the popularity of smartphones,selfie-taking has grown rapidly within a short *** light of the new trend set by the generation,this study aimed to explore reasons for selfie-taking and selfie-posting on social media and their effects on the social and psychological lives of young adults.A purposive sampling method was adopted to select 20 Indian citizens,between 18 and 24 *** data were collected through semi-structured interviews and analysed using thematic ***-taking and posting on social media give positive feelings,and it acts as a mood modifier dependent mostly on the favourability and feedback about the post which in turn affects emotions and self-satisfaction.

关键词： Selfie social media social networking sites obsessive selfie-taking Indian youth

Choice of wound care in diabetic foot ulcer: A practical approach

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World Journal of Diabetes 2014年第4期5卷 546-556页

作者： karakkattu vijayan kavitha Shalbha Tiwari Vedavati Bharat Purandare Sudam Khedkar Shilpa Sameer Bhosale Ambika Gopalakrishnan Unnikrishnan Podiatry Department Chellaram Diabetes Institute Pune 411021 India Research Department Chellaram Diabetes In-stitute Pune 411021 India Diabetes and Endocrinology Department Chellaram Diabetes Institute Pune 411021 India

Diabetic foot ulcers are the consequence of multiple factors including peripheral neuropathy,decreased blood supply,high plantar pressures,etc.,and pose a significant risk for morbidity,limb loss and *** critical aspects of the wound healing mechanism and host physiological status in patients with diabetes necessitate the selection of an appropriate treatment strategy based on the complexity and type of *** addition to systemic antibiotics and surgical intervention,wound care is considered to be an important component of diabetic foot ulcer *** article will focus on the use of different wound care materials in diabetic *** a clinical perspective,it is important to decide on the wound care material depending on the type and grade of the *** article will also provide clinicians with a simple approach to the choice of wound care materials in diabetic foot ulcer.

关键词： Diabetes Foot Wound Debridement Topical

Dual antidiabetic and antihypertensive activity of fucoxanthin isolated from Sargassum wightii Greville in in vivo rat model

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Food Science and Human Wellness 2023年第5期12卷 1693-1700页

作者： vijayan Raji Chitra Loganathan Thiyagarajan Ramesh Palvannan Thayumanavan Department of Biochemistry Periyar UniversitySalemTamil Nadu 636011India Department of Basic Medical Sciences College of MedicinePrince Sattam Bin Abdulaziz UniversityAl-Kharj 11942Kingdom of Saudi Arabia

In a previous study from our laboratory, fucoxanthin purified from brown algae, Sargassum wightii Greville has found to exhibit antioxidant activity and inhibition of angiotensin-I-converting enzyme(ACE)in vitro. The present study aims in understanding the protective effect of fucoxanthin purified from S. wightii against diabetes with hypertension in in vivo. Diabetes and hypertension were induced in rat by streptozotocin and sodium chloride treatment, respectively. In diabetes with hypertension rat, the blood pressure was increased along with hyperglycemia. Administration of fucoxanthin significantly reduced the blood pressure and ACE activity in diabetes with hypertension rat. Furthermore, administration of fucoxanthin significantly reduced the hyperglycemic state. The activity of various enzymes in the liver(hexokinase, glucose-6-phosphate dehydrogenase, glucose-6-phosphatase and fructose-1,6-phosphatase)and serum(creatine kinase)were normalized to that of control level. The level of glycogen, glycoprotein component and lipid profile were equivalent to control level by fucoxanthin administration in diabetes with hypertension rats. Fucoxanthin ameliorated the oxidative stress by preserving the endogenous antioxidant levels in diabetes with hypertension rats. Also, the pancreatic histological integrity was similar to that of control level in diabetes with hypertension rats by fucoxanthin treatment. Altogether, fucoxanthin showed dual antidiabetic and antihypertensive activity in vivo.

关键词： Fucoxanthin Diabetes Hypertension Oxidative stress Angiotensin-I-converting enzyme

Tricube Weighted Linear Regression and Interquartile for Cloud Infrastructural Resource Optimization

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Computer Systems Science & Engineering 2023年第6期45卷 2281-2297页

作者： Neema George B.K.Anoop Vinodh P.vijayan Srinivas University MangaloreIndia Mangalam College of Engineering KottayamIndia

Cloud infrastructural resource optimization is the process of precisely selecting the allocating the correct resources either to a workload or *** workload execution,accuracy,and cost are accurately stabilized in opposition to the best possible framework in real-time,efficiency is *** addition,every workload or application required for the framework is characteristic and these essentials change over ***,the existing method was failed to ensure the high Quality of Service(QoS).In order to address this issue,a Tricube Weighted Linear Regression-based Inter Quartile(TWLR-IQ)for Cloud Infrastructural Resource Optimization is introduced.A Tricube Weighted Linear Regression is presented in the proposed method to estimate the resources(i.e.,CPU,RAM,and network bandwidth utilization)based on the usage history in each cloud ***,Inter Quartile Range is applied to efficiently predict the overload hosts for ensuring a smooth *** results show that our proposed method is better than the approach in Cloudsim under various performance *** results clearly showed that the proposed method can reduce the energy consumption and provide a high level of commitment with ensuring the minimum number of Virtual Machine(VM)Migrations as compared to the state-of-the-art methods.

关键词： Cloud infrastructure tricube weighted linear regression inter quartile CPU RAM network bandwidth utilization

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预测雷诺应力输运模型的机器学习算法评估

Acta Mechanica Sinica 2022年第4期38卷 78-90,I0002页

作者： Jyoti Prakash Panda Hari vijayan Warrior Department of Mechanical Engineering DIT UniversityDehradun 248001India Department of Ocean Engineering and Naval Architecture Indian Institute of Technology(IIT)Kharagpur 721302India

近年来,机器学习(ML)算法在湍流建模中的应用显示出了希望,但它们的应用仅限于基于涡流黏度的封闭方法.本文讨论了应用机器学习与高保真湍流数据的基本原理,以开发雷诺应力传输建模水平的模型.基于这些理论.本文比较了不同的机器学习算... 详细信息

近年来,机器学习(ML)算法在湍流建模中的应用显示出了希望,但它们的应用仅限于基于涡流黏度的封闭方法.本文讨论了应用机器学习与高保真湍流数据的基本原理,以开发雷诺应力传输建模水平的模型.基于这些理论.本文比较了不同的机器学习算法.以确定它们在雷诺应力输运方程中建模不同输运过程的有效性和鲁棒性.这些数据驱动的算法包括随机森林、梯度增强树和神经网络.采用直接数值模拟(DNS)数据作为ML模型的训练和测试.利用贝叶斯优化方法确定了ML算法的最优超参数.在雷诺应力输运方程的建模和预测中,评估了上述算法的有效性.观察到三种算法都以可接受的精度水平预测湍流参数.再将这些模型应用在不同于训练的流动情况的压力应变相关性的预测.以评估其鲁棒性和通用性.这探讨了基于ML的数据驱动湍流模型可以克服传统湍流模型的建模局限性.并且ML模型用大量不同类型的流数据训练.可以对具有相似流物理的未知流以合理的精度预测流场.除此之外,本文通过评估不同输入特征的重要性来验证最终的ML模型.

关键词： Machine learning Pressure strain correlation Turbulence modeling CFD

Utilization of leather fibrous wastes for the production of reconstituted fibric materials:heavy metal determination and removal

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Waste Disposal and Sustainable Energy 2022年第1期4卷 29-37页

作者： Rethinam Senthil Serdar Batıkan Kavukcu A.Wilson Aruni Urana Dandar Bahri Basaran vijayan Sumathi Graduate School of Natural and Applied Science Ege University35100 BornovaIzmirTurkey School of Bio and Chemical Engineering Sathyabama UniversityChennaiTamilnadu 600199India Department of Chemistry Ege University35100 BornovaIzmirTurkey California University of Science and Medicine 217 E Club Centre Dr suite aSan BernardinoCA 92408USA Department of Leather Engineering Ege University35100 BornovaIzmirTurkey School of Electrical Engineering and Centre for Automation VIT Chennai CampusChennaiTamilnadu 600127India

Incomprehension concerning heavy metal containing finished solid leather wastes leads to environmental *** of these solid leather waste into energy and resource efficient products proves to be ***,leather microfibres(LMF)were isolated from these heavy metal containing finished solid leather *** heavy metal contain LMF further processed into metal reduction *** metal reduction LMF were investigated for their heavy metal removal efficiency and toxicity *** Cr(III)and Cr(VI)content of LMF was<1000μg/mL and<800μg/mL,*** estimation was proved that the LMF had less than 1%.The study attempt to prepare reconstituted fibric materials(RFM)from metal reduction LMF and cellulose nanofibres(CNF).RFM were characterized for their physicochemical and mechanical ***,the study has proved a novel concept of RFM production which is recyclable,environmental friendly and cost effective.

关键词： Leather fibres Metal recovery Leather wastes Reconstituted fibric material Recyling

A Machine Learning Approach for MRI Brain Tumor Classification

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Computers, Materials & Continua 2017年第2期53卷 91-108页

作者： Ravikumar Gurusamy vijayan Subramaniam Assistant Professor/ECE Vivekanandha Institute of Engineering and Technology for Women ElayampalamTiruchengodeNamakkal(Dt)-637205 Principal Surya Engineering CollegeMettukkadaiErode-638107.

A new method for the denoising,extraction and tumor detection on MRI images is presented in this *** images help physicians study and diagnose diseases or tumors present in the *** work is focused towards helping the radiologist and physician to have a second opinion on the *** ambiguity of Magnetic Resonance(MR)image features is solved in a simpler *** MRI image acquired from the machine is subjected to analysis in the *** real-time data is used for the *** preprocessing is performed using various filters for noise *** de-noised image is segmented,and the feature extractions are *** are extracted using the wavelet *** compared to other methods,the wavelet transform is more suitable for MRI image feature *** features are given to the classifier which uses binary tree support vectors for *** classification process is compared with conventional methods.

关键词： MRI image brain pathology K-Means algorithm Feature extraction Wavelet transform SVM Neural network K nearest algorithm.

Parametric optimization of friction stir welding process of age hardenable aluminum alloys-ANFIS modeling

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Journal of Central South University 2016年第8期23卷 1847-1857页

作者： D.vijayan V.Seshagiri Rao Department of Mechanical Engineering Sri Chandrasekharendra Saraswathi Viswa Maha Vidyalaya Enathur Kanchipuram- 631561 Tamilnadu India St. Joseph's College of Engineering Chennai - 600025 Tamilnadu India

A comparative approach was performed between the response surface method(RSM) and the adaptive neuro-fuzzy inference system(ANFIS) to enhance the tensile properties, including the ultimate tensile strength and the tensile elongation, of friction stir welded age hardenable AA6061 and AA2024 aluminum alloys. The effects of the welding parameters, namely the tool rotational speed, welding speed, axial load and pin profile, on the ultimate tensile strength and the tensile elongation were analyzed using a three-level, four-factor Box-Behnken experimental design. The developed design was utilized to train the ANFIS models. The predictive capabilities of RSM and ANFIS were compared based on the root mean square error, the mean absolute error, and the correlation coefficient based on the obtained data set. The results demonstrate that the developed ANFIS models are more effective than the RSM model.

关键词： ANFIS模型 2024铝合金搅拌摩擦焊接时效硬化工艺参数优化自适应神经模糊推理系统 RSM模型断裂伸长率

Hidden Two-Stream Collaborative Learning Network for Action Recognition

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Computers, Materials & Continua 2020年第6期63卷 1545-1561页

作者： Shuren Zhou Le Chen vijayan Sugumaran School of Computer and Communication Engineering Changsha University of Science and TechnologyChangsha410114China Department of Decision and Information Sciences School of Business AdministrationOakland UniversityRochester48309USA

The two-stream convolutional neural network exhibits excellent performance in the video action *** crux of the matter is to use the frames already clipped by the videos and the optical flow images pre-extracted by the frames,to train a model each,and to finally integrate the outputs of the two ***,the reliance on the pre-extraction of the optical flow impedes the efficiency of action recognition,and the temporal and the spatial streams are just simply fused at the ends,with one stream failing and the other stream *** propose a novel hidden two-stream collaborative(HTSC)learning network that masks the steps of extracting the optical flow in the network and greatly speeds up the action *** on the two-stream method,the two-stream collaborative learning model captures the interaction of the temporal and spatial features to greatly enhance the accuracy of *** proposed method is highly capable of achieving the balance of efficiency and precision on large-scale video action recognition datasets.

关键词： Action recognition collaborative learning optical flow

Tectonic significance of dykes in the Sarnu-Dandali alkaline complex,Rajasthan, northwestern Deccan Traps

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Geoscience Frontiers 2016年第5期7卷 783-791页

作者： Anjali vijayan Hetu Sheth Kamal Kant Sharma Department of Earth Sciences Indian Institute of Technology Bombay (IITB) Department of Geology Government Postgraduate College

Whether swarms of preferentially oriented dykes are controlled by regional stress fields, or passively exploit basement structural fabric, is a much debated question, with support for either scenario in individual case studies. The Sarnu-Dandali alkaline complex, near the northwestern limit of the Deccan Traps continental flood basalt province, contains mafic to felsic alkaline volcano-plutonic rocks and carbonatites. The complex is situated near the northern end of the 600 km long, NNWe SSE-trending Barmer-Cambay rift. Mafic enclave swarms in the syenites suggest synplutonic mafic dykes injected into a largely liquid felsic magma chamber. Later coherent dykes in the complex, of all compositions and sizes,dominantly strike NNWe SSE, parallel to the Barmer-Cambay rift. The rift formed during two distinct episodes of extension, NWe SE in the early Cretaceous and NEe SW in the late Cretaceous. Control of the southern Indian Dharwar structural fabric on the rift trend, as speculated previously, is untenable,whereas the regional Precambrian basement trends（Aravalli and Malani） run NEe SW and NNEe *** therefore suggest that the small-scale Sarnu-Dandali dykes and the much larger-scale BarmerCambay rift were not controlled by basement structure, but related to contemporaneous, late Cretaceous regional ENEe WSW extension, for which there is varied independent evidence.

关键词： Dyke swarms Alkaline magmatism Deccan Traps Sarnu-Dandali Barmer-Cambay rift