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"Shivani"
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Precision health could mitigate clinical biases that impact care
Shivani Misra describes how meeting a misdiagnosed patient early in her career led her to study precision diabetes in underrepresented groups.
Journal Article
Everything predators
What do great white sharks and pygmy hedgehogs have in common? They're both predators! Big and small, the predators in this book have developed some cool, amazing, and sometimes freaky skills to keep them on top of the food chain.
Book
Viral hijacking of cellular metabolism
This review discusses the current state of the viral metabolism field and gaps in knowledge that will be important for future studies to investigate. We discuss metabolic rewiring caused by viruses, the influence of oncogenic viruses on host cell metabolism, and the use of viruses as guides to identify critical metabolic nodes for cancer anabolism. We also discuss the need for more mechanistic studies identifying viral proteins responsible for metabolic hijacking and for in vivo studies of viral-induced metabolic rewiring. Improved technologies for detailed metabolic measurements and genetic manipulation will lead to important discoveries over the next decade.
Journal Article
Handbook of image-based security techniques
This book focuses on image based security techniques, namely visual cryptography, watermarking, and steganography. The first section explores basic to advanced concepts of visual cryptography (VC). The second section covers Digital Image Watermarking including watermarking algorithms, frameworks for modeling watermarking systems, and the evaluation of watermarking techniques. The final section analyzes Steganography, including the notion, terminology and building blocks of steganographic communication. The book includes many examples and applications, as well as implementation using MATLAB-- Provided by publisher.
Book
Forecasting the prevalence of overweight and obesity in India to 2040
In India, the prevalence of overweight and obesity has increased rapidly in recent decades. Given the association between overweight and obesity with many non-communicable diseases, forecasts of the future prevalence of overweight and obesity can help inform policy in a country where around one sixth of the world's population resides.
We used a system of multi-state life tables to forecast overweight and obesity prevalence among Indians aged 20-69 years by age, sex and urban/rural residence to 2040. We estimated the incidence and initial prevalence of overweight using nationally representative data from the National Family Health Surveys 3 and 4, and the Study on global AGEing and adult health, waves 0 and 1. We forecasted future mortality, using the Lee-Carter model fitted life tables reported by the Sample Registration System, and adjusted the mortality rates for Body Mass Index using relative risks from the literature.
The prevalence of overweight will more than double among Indian adults aged 20-69 years between 2010 and 2040, while the prevalence of obesity will triple. Specifically, the prevalence of overweight and obesity will reach 30.5% (27.4%-34.4%) and 9.5% (5.4%-13.3%) among men, and 27.4% (24.5%-30.6%) and 13.9% (10.1%-16.9%) among women, respectively, by 2040. The largest increases in the prevalence of overweight and obesity between 2010 and 2040 is expected to be in older ages, and we found a larger relative increase in overweight and obesity in rural areas compared to urban areas. The largest relative increase in overweight and obesity prevalence was forecast to occur at older age groups.
The overall prevalence of overweight and obesity is expected to increase considerably in India by 2040, with substantial increases particularly among rural residents and older Indians. Detailed predictions of excess weight are crucial in estimating future non-communicable disease burdens and their economic impact.
Journal Article
Ace against odds
Currently ranked World No. 1 in women's doubles, Sania Mirza became an instant sensation when she won the Wimbledon Championships girls' doubles title at the age of sixteen. From 2003 until her retirement from the singles circuit in 2012, she was ranked by the Women's Tennis Association as India's top player, both in singles and doubles. A six-time Grand Slam champion, she notched up an incredible forty-one consecutive wins with her doubles partner, Martina Hingis, between August 2015 and February 2016. Ace against Odds is the story of this most iconic Indian player who beat incredible odds to get to the top of her sport. Sania writes with candour of the hardships along the way, of the physical and emotional trauma caused by injuries and medical procedures, of the friends and partners who became her mainstay along with her family, of the pressures of constant public scrutiny and, not least, the politics and heartbreaks that inevitably accompany success. Sania broke the rules, she spoke her mind, she pushed herself to the limit, she played for India fiercely and without care for how it might impact her rankings - she is and will continue to remain an inspiration long after she steps off the tennis courts.
Book
Computer Vision and Machine Learning based approaches for Food Security: A Review
With the rapidly increase of population every day, it has become a major issue to fulfill everyone’s need for food products (i.e., vegetables, fruits, milk, wheat, etc.) due to limited production of food products. Moreover, healthy food utilization among people is the foremost requirement. The major factors that affect the food system includes increasing food shortage, decreasing quality, wastage, and loss of food products, limited natural resources, etc. This article addresses the various computer vision and machine learning based techniques, used to minimize the aforementioned issues. Image processing has become an effective technique for the analysis of many research applications. This study intends to focus on analysis of image processing based applications in food products and agriculture field. Such applications help in decision making , disease prediction, classification, fruit sorting, soil quality measurement, etc. Moreover, a comprehensive review has been accomplished for various computer vision and statistical approaches used in food production and agricultural field and concludes that Deep Learning (DL) based approaches produce better results, specifically for image processing applications. Additionally, an effort has been made to provide a list of publicly available datasets for the related study.
Journal Article