Search Results - "Singh, Pranjali"

Anaerobic Digestion of Agri-Food Wastes for Generating Biofuels by Gong, Chunjie, Singh, Ankit, Singh, Pranjali, Singh, Archana

“…Presently, fossil fuels are extensively employed as major sources of energy, and their uses are considered unsustainable due to emissions of obnoxious gases on…”
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Long-term organic farming impact on soil nutrient status and grain yield at the foothill of Himalayas by Pranjali Singh, Deep Chandra Suyal, Saurabh Kumar, Dhananjay Kumar Singh, Reeta Goel

“…This study aimed to document the effects of the long-term organic farming (OF) on soil quality, agronomical parameters, crop productivity, and food grain yield…”
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Estrus Detection System in Dairy Cows' using Machine Learning and IoT by Sasankar, Prachi, Pande, Ms. Shruti, Singh, Ms. Pranjali, Wanjari, Ms. Ayushi

“…Dairy farming needs economic measures to monitor and detect Estrus conditions in cows. High detection rates is directly proportional to high-priced…”
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Free-Base Corrole Anion by Tarai, Arup, Mallick, Jyotiprakash, Singh, Pranjali, Conradie, Jeanet, Kar, Sanjib, Ghosh, Abhik

“…Free-base corroles have long been known to be acidic, readily undergoing deprotonation by mild bases and in polar solvents. The conjugate base, however, has…”
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Quantum dots: a next generation approach for pathogenic microbial biofilm inhibition; mechanistic insights, existing challenges, and future potential by Koul, Khyati, Jawanda, Ishwerpreet Kaur, Soni, Thomson, Singh, Pranjali, Sharma, Divyani, Kumari, Seema

“…Quantum Dots (QDs) have emerged as versatile nanomaterials with origins spanning organic, inorganic, and natural sources, revolutionizing various biomedical…”
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Antibacterial and Antibiofilm potential of Thuja orientalis L. extract targeting cariogenic Enterococcus faecalis ATCC 29212: A combined in-vitro, in-silico study, and cytotoxicity screening by Koul, Khyati, Jawanda, Ishwerpreet Kaur, Soni, Thomson, Madaan, Kashish, Bhatt, Sunidhi, Singh, Pranjali, Sharma, Divyani, Bhardwaj, Sonia Bhonchal, Kumari, Seema

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LONG-TERM STROKE PREVALENCE AND RISK IN DIABETICS WITH CHRONIC TOTAL OCCLUSION PERCUTANEOUS CORONARY INTERVENTION: A SYSTEMATIC REVIEW AND META-ANALYSIS by Mondal, Avilash, Damarlapally, Nanush, Singh, Pranjali, Vadiyala, Mounika Reddy, Rana, Nishtha, Singh, Birgurman, Paidi, Gokul, Patel, Hardik, Arote, Dr. Vaishnavi, Tandra, Rineetha, Jain, Akhil, Desai, Rupak

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Abstract 11767: Alarmingly Rising Trends in Cardiovascular Disease Risk Factors and Atrial Fibrillation in Young [18-44 Years] Asian Patients: A Nationwide Analysis Between 2016 and 2019 by Damarlapally, Nanush, Rana, Nishtha, Arote, Dr. Vaishnavi, Vadiyala, Mounika Reddy, Singh, Pranjali, Singh, Birgurman, Paidi, Gokul, Tandra, Rineetha, Patel, Hardik, Mondal, Avilash, Desai, Rupak

“…BackgroundTraditional cardiovascular disease (CVD) risk factors can increase the risk of Atrial Fibrillation (AF) even in young adults. With rising trends in…”
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Abstract 11742: Regional Disparities in Major Adverse Cardiac and Cerebrovascular Events During Hospitalizations in Young (18-44 Years) Obese Patients, 2019 National Inpatient Sample Analysis by Mondal, Avilash, Damarlapally, Nanush, Singh, Birgurman, Arote, Dr. Vaishnavi, Vadiyala, Mounika Reddy, Singh, Pranjali, Rana, Nishtha, Paidi, Gokul, Tandra, Rineetha, Patel, Hardik, Desai, Rupak

“…BackgroundInpatient outcomes in obese patients have been investigated, although regional inequalities in cardiac and cerebrovascular events in young obese…”
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Psyhcrotolerant Bio-inoculants and Their Co-inoculation to Improve Cicer arietinum Growth and Soil Nutrient Status for Sustainable Mountain Agriculture by Rawat, Nitin, Sharma, Mansi, Suyal, Deep Chandra, Singh, D. K., Joshi, Divya, Singh, Pranjali, Goel, Reeta

“…Chickpea ( Cicer arietinum ) is the most important pulse crop across the Himalayan regions, characterized with extreme as well as nutritionally deficient…”
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IDA-UIE: An Iterative Framework for Deep Network-based Degradation Aware Underwater Image Enhancement by Singh, Pranjali, Guha, Prithwijit

“…Underwater image quality is affected by fluorescence, low illumination, absorption, and scattering. Recent works in underwater image enhancement have proposed…”
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Designing a U-Net Architecture for Underwater Image Enhancement by Zaidi, Saba, Singh, Pranjali, Guha, Prithwijit

“…Underwater images are often degraded due to issues like noise, scattering, and color distortion caused by factors such as light absorption. Recent works using…”
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Predicting Diabetes Using Machine Learning by Kumar, Nilesh, Singh, Pranjali, Kumari, Sushmita, Singh, Brijesh Kumar

“…Diabetes could create a global health care catastrophe. The International Diabetes Federation, predicted that there are currently 382 million diabetics…”
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