A NOVEL HPTLC METHOD FOR SIMULTANEOUS DETERMINATION OF CO-ENZYME Q10 AND α-TOCOPHEROL IN BULK AND PHARMACEUTICAL FORMULATION

Objective: HPTLC Method for Simultaneous quantification of co-enzyme Q10 and α-tocopherol in bulk and capsule dosage form was developed and validated as per International Conference on Harmonization [(ICH) Q2 (R1)] guideline.Methods: The chromatograms were developed using a mobile phase of Toluene: ethyl acetate: chloroform (10:1:2 v/v/v) on Pre-coated silica 60F 254 plates and quantified by densitometric absorbance mode at 280 nm.Results: The Rf values were 0.77 and 0.87 for co-enzyme Q10 and α-tocopherol, respectively. The linearity of the method was found to be in the concentration range of 0.6µg-1.8 µg/band for α-tocopherol and 2 µg-6 µg/band for co-enzyme Q10. The limits of detection and quantification were 0.3154 and 0.9559 µg/band for α-tocopherol and 3.441 and 10.42 µg/band for co-enzyme Q10.Conclusion: Developed densitometric method was found to be robust, precise, accurate, and rapid and can be used to analyse fixed-dose capsule samples of co-enzyme Q10 and α-tocopherol

Automated Video and Audio based Stress Detection using Deep Learning Techniques

In today's world, stress has become an undoubtedly severe problem that affects people's health. Stress can modify a person's behavior, ideas, and feelings in addition to having an impact on mental health. Unchecked stress can contribute to chronic illnesses including high blood pressure, diabetes, and obesity. Early stress detection promotes a healthy lifestyle in society. This work demonstrates a deep learning-based method for identifying stress from facial expressions and speech signals.An image dataset formed by collecting images from the web is used to construct and train the model Convolution Neural Network (CNN), which then divides the images into two categories: stressed and normal. Recurrent Neural Network (RNN), which is used to categorize speech signals into stressed and normal categories based on the features extracted by the MFCC (Mel Frequency Cepstral Coefficient), is thought to perform better on sequential data since it maintains the past results to determine the final output

A Public Private Partnership Model for Managing Urban Health: A Study of Ahmedabad City

Urbanization is an important demographic shift worldwide. India’s urban population of 300 million represents 30 % of its total population; with the slum population in urban cities registering a 5 % growth in the last few years. Responding to the healthcare needs of urban poor is therefore very essential. Government of India focus has been mainly on rural health till the late 90s. Recognizing the urgency to manage urban health for the vulnerable sections of our population, the 9th and 10th Five Year Plans of the Government of India have laid special emphasis on developing a well structured network of urban primary care institutions. Ahmedabad city (also known as Ahmedabad Municipal Corporation, AMC) is the sixth largest city in India with a population of 3.5 million spread over 192 square kilometers, across 43 wards. AMC has nearly 2500 slums and chawls housing approximately 1.5 million people. Out of 43 wards in AMC, 9 wards which house more than 20 % of AMC population, have no government health facility at all. With more than 3500 private health facilities in AMC, it is therefore worthwhile to explore Public Private Participation (PPP) to improve the delivery of healthcare services. In this working paper, we outline our approach to developing a PPP model for a decentralized and integrated primary healthcare center for each ward of AMC. Our model is built on a clear understanding of the socio-economic profile, status of public health, and the healthcare seeking habits of Ahmedabad population. Our GIS (Geographic Information System) methodology guides the AMC authorities to identify good locations for urban health center (UHC) so as to ensure availability, affordability, accessibility, and equity to primary healthcare facilities to the slum populations. We illustrate our methodology for Vasna and Naroda wards in AMC.

Microwave-synthesized freestanding iron-carbon nanotubes on polyester composites of woven Kevlar fibre and silver nanoparticle-decorated graphene

We synthesized Ag nanoparticle-decorated multilayered graphene nanosheets (Ag-graphene) from graphite nanoplatelets and silver nitrate through 90-100 s of microwave exposure, without the use of any mineral acids or harsh reducing agents. Fe nanoparticle-decorated carbon nanotubes (Fe-CNTs) were grown on polypyrrole (PPy) deposited on woven Kevlar fibre (WKF), using ferrocene as a catalyst, under microwave irradiation. Fe-CNTs grown on WKF and Ag-graphene dispersed in polyester resin (PES) were combined to fabricate Ag-graphene/Fe-CNT/PPy-coated WKF/PES composites by vacuum-assisted resin transfer moulding. The combined effect of Fe-CNTs and Ag-graphene in the resulting composites resulted in a remarkable enhancement of tensile properties (a 192.56% increase in strength and 100.64% increase in modulus) as well as impact resistance (a 116.33% increase). The electrical conductivity significantly increased for Ag-graphene/Fe-CNT/PPy-coated WKF/PES composites. The effectiveness of electromagnetic interference shielding, which relies strongly on the Ag-graphene content in the composites, was 25 times higher in Ag-graphene/Fe-CNT/PPy-coated WKF/PES than in neat WKF/PES composites. The current work offers a novel route for fabricating highly promising, cost effective WKF/PES composites through microwave-assisted synthesis of Fe-CNTs and Ag-graphene.ope

Climate Resilient Crops for Improving Global Food Security and Safety

Food security and the protection of the environment are urgent issues for global society, particularly with the uncertainties of climate change. Changing climate is predicted to have a wide range of negative impacts on plant physiology metabolism, soil fertility and carbon sequestration, microbial activity and diversity that will limit plant growth and productivity, and ultimately food production. Ensuring global food security and food safety will require an intensive research effort across the food chain, starting with crop production and the nutritional quality of the food products. Much uncertainty remains concerning the resilience of plants, soils, and associated microbes to climate change. Intensive efforts are currently underway to improve crop yields with lower input requirements and enhance the sustainability of yield through improved biotic and abiotic stress tolerance traits. In addition, significant efforts are focused on gaining a better understanding of the root/soil interface and associated microbiomes, as well as enhancing soil properties

Micropropagation of Wrightia tomentosa : Effect of gelling agents, carbon source and vessel type

115-120The role of gelling agents, carbon source, type of culture vessel and liquid culture system during rooting phase in Wrightia tomentosa was investigated in an effort to reduce the cost of micropropagation. Studies have revealed significant improvement in shoot multiplication on a medium containing crude agar and sugarcubes. Promotory role of vented vessel in culture growth and liquid culture system during rooting phase was established. The results showed strong potential for reduction in cost of plantlets in vitro

Orbitocranial wooden foreign body

We report a case of orbitocranial wooden foreign body, piercing through roof of orbit, frontal sinus and frontal lobe and reaching up to corpus callosum. It was, missed at the time of injury by treating surgeon and removed by us after five months. Meticulous exploration of wound and radiological imaging study of orbital injuries is mandatory at the time of injury as they complement each other in the diagnosis. Unlike metal foreign bodies that are easily diagnosed on radiological imaging, intraorbital wooden foreign bodies are often missed on cursory clinical evaluation and radiodiagnosis. This may result into significant ocular morbidity at a later date

'If your husband calls, you have to go': understanding sexual agency among young married women in urban South India.

BACKGROUND: Early marriage is common in many developing countries, including India. Women who marry early have little power within their marriage, particularly in the sexual domain. Research is limited on women's ability to control their marital sexual experiences. METHODS: We identified factors affecting sexual communication among married women aged 16-25, in Bangalore, India, and how factors associated with sexual communication differed from those influencing non-sexual agency. We ran ordered logit regression models for one outcome of sexual agency (sexual communication, n = 735) and two outcomes of non-sexual agency (fertility control, n = 735, and financial decision-making, n = 728). RESULTS: Sexual communication was more restricted (83 women (11.3%) with high sexual communication) than financial decision-making (183 women (25.1%) with high financial decision-making agency) and fertility control (238 women (32.4%) with high fertility control). Feeling prepared before the first sexual experience was significantly associated with sexual communication (odds ratio (OR) = 1.8; 95% confidence interval (CI) = 1.13-2.89). Longer marriage duration (OR 2.13; 95% CI = 1.42-3.20) and having worked pre-marriage (OR 1.38; 95% CI = 1.02-1.86) were also significant. Few other measures of women's resources increased their odds of sexual communication. Education, having children, pre-marital vocational training and marital intimacy were significant for non-sexual outcomes but not sexual communication. CONCLUSIONS: Policy-makers seeking to enhance young married women's sexual communication need to consider providing sex education to young women before they marry. More broadly, interventions designed to increase women's agency need to be tailored to the type of agency being examined

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京都大学アカデミックデイ2019開催日時: 2019年9月15日（日）10:00-16:00会場: 京都大学吉田キャンパス 百周年時計台記念館主催: 学術研究支援室（URA室）, 研究推進部研究推進課, 国民との科学・技術対話ワーキンググループ京都大学の学術研究成果発信の一環として包括的に登