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Ethnic and paleolithic diet: Where do they stand in inflammation alleviation? A discussion
Seema Patel,Hafiz A.R. Suleria 한국식품연구원 2017 Journal of Ethnic Foods Vol.4 No.4
The current food options, especially in the Western countries, are acidogenic, which reduce extracellular pH and perturb ionic homeostasis. The acidity-activated enzymes mediate a large panel of chronic and acute diseases. To quell the morbidities and mortalities associated with the metabolic syndromes, nonpharmacologic approaches are preferred. Dietary interventions are critical in this regard. Among the array of dietary patterns, paleo diet has garnered much attention in the last decade. This diet rich in phytochemicals and unsaturated fatty acids is deemed wholesome for the body. Several studies have proven this claim, yet their nutritional adequacy for all age groups is contentious. The popularity of ethnic foods is rising; but their nutrition and safety position can vary. Although some of them are close to paleo food, some are unhealthy. This review explores the mechanism by which paleo diet restores homeostasis of the body and how its inherent nutritional deficiency can be amended with conventional diet, by the formulation of personalized diet. This compilation is expected to be insightful for dietary optimization.
Safety Management Practices in Small and Medium Enterprises in India
Seema Unnikrishnan,Rauf Iqbal,Anju Singh,Indrayani M. Nimkar 한국산업안전보건공단 산업안전보건연구원 2015 Safety and health at work Vol.6 No.1
Background: Small and medium enterprises (SMEs) are often the main pillar of an economy. Minor accidents,ergonomics problems, old and outdated machinery, and lack of awareness have created a needfor implementation of safety practices in SMEs. Implementation of healthy working conditions createspositive impacts on economic and social development. Methods: In this study, a questionnaire was developed and administered to 30 randomly chosen SMEs inand around Mumbai, Maharashtra, and other states in India to evaluate safety practices implemented intheir facilities. The study also looked into the barriers and drivers for technology innovation and suggestionswere also received from the respondent SMEs for best practices on safety issues. Results: In some SMEs, risks associated with safety issues were increased whereas risks were decreasedin others. Safety management practices are inadequate in most SMEs. Market competitiveness, betterefficiency, less risk, and stringent laws were found to be most significant drivers; and financial constraints,lack of awareness, resistance to change, and lack of training for employees were found to bemain barriers. Conclusion: Competition between SMEs was found to be major reason for implementation of safetypractices in the SMEs. The major contribution of the study has been awareness building on safety issuesin the SMEs that participated in the project.
Seema Chopra,Ranajit Mitra,Vijay Kumar 대한전기학회 2006 International Journal of Control, Automation, and Vol.4 No.4
Fuzzy controller's design depends mainly on the rule base and membership functions over the controller's input and output ranges. This paper presents two different approaches to deal with these design issues. A simple and efficient approach, namely, Fuzzy Subtractive Clustering is used to identify the rule base needed to realize Fuzzy PI and PD type controllers. This technique provides a mechanism to obtain the reduced rule set covering the whole input/output space as well as membership functions for each input variable. But it is found that some membership functions projected from different clusters have high degree of similarity. The number of membership functions of each input variable is then reduced using a similarity measure. In this paper, the fuzzy subtractive clustering approach is shown to reduce 49 rules to 8 rules and number of membership functions to 4 and 6 for input variables (error and change in error) maintaining almost the same level of performance. Simulation on a wide range of linear and nonlinear processes is carried out and results are compared with fuzzy PI and PD type controllers without clustering in terms of several performance measures such as peak overshoot, settling time, rise time, integral absolute en-or (IAE) and integral-of-time multiplied absolute error (ITAE) and in each case the proposed schemes shows an identical performance.
Spatial distribution of aerosol optical depth over India during COVID-19 lockdown phase-1
Seema Rani,Rajesh Kumar 대한공간정보학회 2022 Spatial Information Research Vol.30 No.3
The present study analysed the spatial distribution of Aerosol Optical Depth (AOD) over India during the COVID-19 lockdown phase -1 (March 25 to April 15, 2020) using MODIS Terra (MOD04) AOD data (550 nm) during 2001–2020. Air temperature, rainfall, forest fire incidents, and wind patterns were analysed to understand their effect on the distribution of aerosols over India during the lockdown phase-1. Moderate absorption fine aerosol type is predominant but sparsely distributed over India during the study period compared to the reference period indicating the positive influence of the lockdown. Mean AOD has reduced by 9% over India during the lockdown phase-1 compared to the corresponding mean of the past 19 years (2001–2019). About 70% of the states/UTs of India showed a reduction in mean AOD due to restrictions on non-essential economic activities and rainfall occurrence. However, some states showed an increase in aerosol loading over specific pockets despite the restrictions on economic activities (Arunachal Pradesh, Assam, Gujarat, Orissa, Andhra Pradesh, Madhya Pradesh, Chhattisgarh, Maharashtra, Assam, Nagaland, Manipur and Karnataka) because of active forest fire cases. This study would be helpful for planners and policymakers to adopt suitable measures to control the rising concentrations of aerosols over hotspot regions of India.
An Improved Region Based Active Contour Model for Medical Image Segmentation
Seema Chack,Poonam Sharma 보안공학연구지원센터(IJSIP) 2015 International Journal of Signal Processing, Image Vol.8 No.1
Level set methods have been widely used in image processing specially in image segmentation. This paper presents a new region based active contour model in a variational level set formulation for segmentation of real world images in the presence of intensity in-homogeneity and noise. In this paper, we derive a local intensity clustering property in the image domain with better distance regularization function. The level set methods sometimes develop irregularities during its evolution state, which may cause numerical complexity and destroy the stability of evolution. This distance regularization function is able to maintain the desired shape of level set function smoothly and eliminates the need of re-initialization of LSF. The local clustering criterion function is defined for image intensities in neighborhood of each point. Now, this local clustering criterion of point is then integrated with respect to the neighborhood of entire points for global clustering criterion of image segmentation. In which bias function is also evaluated to intensity inhomogeneity correction. Implementation of our method shows that, it is more robust to initialization, and more accurate than conventional model.