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THERMAL EFFECTS OF EYELID IN HUMAN EYE TEMPERATURE MODEL
Gokul, K.C.,Gurung, D.B.,Adhikary, P.R. The Korean Society for Computational and Applied M 2014 Journal of applied mathematics & informatics Vol.32 No.5
Presence of eyelid on anterior ocular surface and its thermal effects play significant role in maintaining eye temperature. In most of the literatures of thermal modeling in human eye, the eyelid is not considered as an eye component. In this paper, finite element model is developed to investigate the thermal effects of eyelid closure and opening in human eye. Based on different properties and parameter values reported in literatures, the bio-heat transfer process is simulated and compared with experimental results in steady and transient state cases. The sensitivity analysis using various ambient temperatures, evaporation rates, blood temperatures and lens thermal conductivities is carried out. The temperature values so obtained in open eye show a good agreement with past results. The closure of eyelid is found to increase/decrease the eye temperature significantly than its opening, when the parameter values are considered to be at extreme.
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THERMAL EFFECTS OF EYELID IN HUMAN EYE TEMPERATURE MODEL
K. C. Gokul,D. B. Gurung,P. R. Adhikary 한국전산응용수학회 2014 Journal of applied mathematics & informatics Vol.32 No.5
Presence of eyelid on anterior ocular surface and its thermal effects play significant role in maintaining eye temperature. In most of the literatures of thermal modeling in human eye, the eyelid is not considered as an eye component. In this paper, finite element model is developed to investigate the thermal effects of eyelid closure and opening in human eye. Based on different properties and parameter values reported in literatures, the bio-heat transfer process is simulated and compared with experimental results in steady and transient state cases. The sensitivity analysis using various ambient temperatures, evaporation rates, blood temperatures and lens thermal conductivities is carried out. The temperature values so obtained in open eye show a good agreement with past results. The closure of eyelid is found to increase/decrease the eye temperature significantly than its opening, when the parameter values are considered to be at extreme.
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Infrequent use of medicinal plants from India in snakebite treatment
Manali Sughosh Upasani,Sughosh Vishweshwar Upasani,Vishal Gokul Beldar,Chetana Gokul Beldar,Pranjal P. Gujarathi 한국한의학연구원 2018 Integrative Medicine Research Vol.7 No.1
Snakes have fascinated humankind for millennia. Snakebites are a serious medical, social, and economic problem that are experienced worldwide; however, they are most serious in tropical and subtropical countries. The reasons for this are 1) the presence of more species of the most dangerous snakes, 2) the inaccessibility of immediate medical treatment, and 3) poor health care. The goal of this study was to collect information concerning rare, less utilized, and less studied medicinal plants. More than 100 plants were found to have potential to be utilized as anti-snake venom across India. Data accumulated from a variety of literature sources revealed useful plant families, the parts of plants used, and how to utilize them. In India, there are over 520 plant species, belonging to approximately 122 families, which could be useful in the management of snakebites. This study was conducted to encourage researchers to create herbal antidotes, which will counteract snake venom. These may prove to be an inexpensive and easily assessable alternative, which would be of immense importance to society. Plants from families such as Acanthaceae, Arecaceae, Apocynaceae, Caesalpiniaceae, Asteraceae, Cucurbitaceae, Fabaceae, Euphorbiaceae, Lamiaceae, Rubiaceae, and Zingiberaceae are the most useful. In India, experts of folklore are using herbs either single or in combination with others.
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Pushpa Balakrishnan,B. Baskaran,S. Vivekanan,P. Gokul 대한전자공학회 2023 IEIE Transactions on Smart Processing & Computing Vol.12 No.6
Binarized spiking neural networks optimized with a color harmony algorithm for liver cancer classification (BSNN-CHA-LCC) are proposed to classify liver cancer as normal and abnormal. Initially, fusion of an MRI dataset and CT-scan datasets of a liver cancer dataset were taken, and the input images were given to CWF-based preprocessing for removing noise and increasing the quality of input computed tomography (CT) and magnetic resonance imaging (MRI). The preprocessed images of CT and MRI are given to improve the non-sub sampled Shearlet transform (INSST) method-based feature extraction for extracting features. The extracted features were given BSNN to classify liver cancer as normal and abnormal. The proposed method was implemented, and the efficiency of the proposed BSNN-CHA-LCC method was evaluated under performance metrics, such as precision, sensitivity, F-scores, specificity, accuracy, error rate, and computational time. The proposed technique achieved23.03%, 11.56%, and 21.22% higher accuracy and 36.12%, 15.23%, and 27.11% lower error rates than the existing models, such as hybrid-feature analysis depending on machine-learning for liver cancer categorization utilizing fused images (MLP-LCC), Deep learning-based classification of liver cancer histopathology images utilizing only global labels (mask-RCNN-LCC), and deep learning based liver cancer identification utilizing watershed transform and Gaussian mixture method (DNN-GMM-LCC), respectively.
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Focused Review on Cu–Ni–Sn Spinodal Alloys: From Casting to Additive Manufacturing
Bipin Sankar,Chaitanya Vinay,Jithin Vishnu,Karthik V. Shankar,G. P. Gokul Krishna,V. Govind,A. J. Jayakrishna 대한금속·재료학회 2023 METALS AND MATERIALS International Vol.29 No.5
The present review article evaluates the research and progress status of Cu–Ni–Sn-based spinodal alloys focussed on themethods and technologies implemented to enhance the properties of cast Cu–Ni–Sn alloys in industrial applications, particularlyin components such as bearings, bushings, propellers, and impellers that find extensive demand in the marineand automotive industry. The review introduces the limitations of employing copper-beryllium alloys in the industry anddiscusses how Cu–Ni–Sn alloys represent a potential alternative. Subsequently, a comprehensive overview of spinodaldecomposition is provided, considering the thermodynamic aspects and the Cu–Ni–Sn ternary phase diagram. The processingof Cu–Ni–Sn alloys via traditional casting is explored with an overview of various casting techniques and ensuingmicrostructure-property relationships. The two significant limitations, segregation during solidification and discontinuousprecipitation, are highlighted. Strategies to overcome these limitations, such as precipitation hardening, spinodal decomposition,thermo-mechanical processing, and composition design (with the effect of varying elemental additions), are furtherelaborated. The review summarises novel processing routes encompassing mechanical alloying, rapid solidification, powdermetallurgy, and spray deposition for developing spinodal Cu–Ni–Sn alloys. Finally, the progress in fabricating Cu–Ni–Snspinodal alloys using additive manufacturing techniques such as selective laser melting is highlighted. There are publishedreview papers on the wrought processing of Cu–Ni–Sn alloys, so this area has not been covered here. Overall, this reviewarticle is intended to streamline an overview of the characteristics and gradual developments from cast Cu–Ni–Sn spinodalalloys to additive manufacturing-based Cu–Ni–Sn spinodal alloys.
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