Association of Inflammatory and Oxidative Stress Markers with Metabolic Syndrome in Asian Indians in India by Veena S. Rao, Radhika K. Nagaraj, Sridhara Hebbagodi, Natesha B. Kadarinarasimhiah, Vijay V. Kakkar

“…In conclusion, oxLDL is a candidate predictor for MetS in the Asian Indian population.…”
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Quality of Life in Yoga Experienced and Yoga Naïve Asian Indian Adults with Obesity by Shirley Telles, Sachin Kumar Sharma, Alok Singh, Niranjan Kala, Vikas Upadhyay, Jaideep Arya, Acharya Balkrishna

“…There were 596 Asian Indian obese adults (age range 20 to 59 years; group mean age ± SD; 43.9 ± 9.9 years): of whom (i) 298 were yoga experienced (154 females; group mean age ± SD; 44.0 ± 9.8 years) with a minimum of 1 month of experience in yoga practice and (ii) 298 were yoga naïve (154 females; group mean age ± SD; 43.8 ± 10.0 years). …”
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Cost of Production for Fresh Market Grapefruit Grown in Indian River, 2016/17 by Ariel Singerman

“… This 5-page fact sheet written by Ariel Singerman and published by the UF/IFAS Food and Resource Economics Department presents the cost of production per acre for growing fresh grapefruit in the Indian River region during 2016/17. Typical users of the estimates include growers and consultants, who use them as a benchmark; property appraisers, who use them to compute the taxes for property owners; and researchers, who use the estimates to evaluate the economic feasibility of potential new technologies. …”
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Advancing the Indian cattle pangenome: characterizing non-reference sequences in Bos indicus by Sarwar Azam, Abhisek Sahu, Naveen Kumar Pandey, Mahesh Neupane, Curtis P Van Tassell, Benjamin D Rosen, Ravi Kumar Gandham, Subha Narayan Rath, Subeer S Majumdar

“…This rich genetic diversity underscores the inadequacy of a single reference genome to fully capture the genomic landscape of Indian cattle. To comprehensively characterize the genomic variation within Bos indicus and, specifically, dairy breeds, we aim to identify non-reference sequences and construct a comprehensive pangenome. …”
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Effect of prednisolone acetate eye drops on blood glucose profile in Indian population by Archana Bhat, Prajakta Paritekar, Y. Umesh

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Embodied performances of (post-)indenture: Creolization of Indian dance, music and nadrons in Guadeloupe by Sandrine Soukaï

“…42,473 Indian indentured workers were transported to the French Caribbean archipelago of Guadeloupe between 1854 and 1889. …”
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Approval from the ethics committee in published studies from the Indian Journal of Psychiatry by Samir Kumar Praharaj, Rajeshkrishna P. Bhandary

“…Indian Journal of Psychiatry…”
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Examining the impact of factors on sustainable tourism practices: an empirical study in the Indian context by Swati Naik, Ruby S. Chanda

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Summary of 2002 Ridge and Indian River-South Florida Citrus Caretaker Surveys by Ronald P. Muraro

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Political determinants of centre-state transfers: An empirical analysis across Indian states by Deepti Kohli

“…All these results do provide some evidence in favour of electoral opportunism and lobbying at work in the distribution of financial resources across Indian states.…”
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Social Workers in Hospice and Palliative Care in Indian Contect: Voices from the field by Pallavi Mech, Dr Vasundharaa S Nair, Dr Priya Treesa Thomas

“…Objectives: The objective of this study is to explore the need for social work,  roles played and the varied nature of palliative care social work in Indian context. Methods: The study adopted a qualitative research design. …”
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West Indian Fruit Fly, Anastrepha obliqua (Macquart) (Insecta: Diptera: Tephritidae) by Howard V. Weems, John B. Heppner, Gary J. Steck, Thomas R. Fasulo

“…Fasulo, and published by the UF Department of Entomology and Nematology, June 2012. EENY198/IN355: West Indian Fruit Fly, Anastrepha obliqua (Macquart) (Insecta: Diptera: Tephritidae) (ufl.edu) …”
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Impacts on Indian Agriculture Due To Stratospheric Aerosol Intervention Using Agroclimatic Indices by Nina Grant, Alan Robock, Lili Xia, Jyoti Singh, Brendan Clark

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Skillful prediction of Indian Ocean Dipole index using machine learning models by J.V. Ratnam, Swadhin K. Behera, Masami Nonaka, Kalpesh R. Patil

“…In this study, we evaluated six machine learning models for their skill in predicting the Indian Ocean Dipole (IOD). The results based on the IOD index predictions at 1–8 month lead time indicate that the AdaBoost model with Multi-Layer Perceptron as the base estimator, AdaBoost(MLP), to perform better than the other five models in predicting the IOD index at all lead times. …”
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West Indian Drywood Termite Cryptotermes brevis (Walker) (Insecta: Isoptera: Kalotermitidae) by Johnalyn M. Gordon, Rudolf H. Scheffrahn, Nan-Yao Su

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Social Workers in Hospice and Palliative Care in Indian Contect: Voices from the field by Pallavi Mech, Dr Vasundharaa S Nair, Dr Priya Treesa Thomas

“…Objectives: The objective of this study is to explore the need for social work,  roles played and the varied nature of palliative care social work in Indian context. Methods: The study adopted a qualitative research design. …”
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West Indian Fruit Fly, Anastrepha obliqua (Macquart) (Insecta: Diptera: Tephritidae) by Howard V. Weems, Jr., John B. Heppner, Gary J. Steck, Thomas R. Fasulo

“… The West Indian fruit fly, Anastrepha obliqua (Macquart), occurs throughout the Caribbean, south to southern Brazil. …”
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Bisphenol A in Indian Take-Out Soups: Compliance, Implications and Sustainable Solutions by Sugata Datta, , Abhishek Chauhan, Anuj Ranjan, Abul Hasan Sardar, Hardeep Singh Tuli, Ammar Abdulrahman Jairoun, , Moyad Shahwan, , Ujjawal Sharma and Tanu Jindal

“…These results, conforming to EC regulations, suggest that food-contact materials (FCMs) in the Indian market pose no apparent health hazards during initial use. …”
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Cost of Production for Fresh Market Grapefruit Grown in Indian River, 2016/17 by Ariel Singerman

“… This 5-page fact sheet written by Ariel Singerman and published by the UF/IFAS Food and Resource Economics Department presents the cost of production per acre for growing fresh grapefruit in the Indian River region during 2016/17. Typical users of the estimates include growers and consultants, who use them as a benchmark; property appraisers, who use them to compute the taxes for property owners; and researchers, who use the estimates to evaluate the economic feasibility of potential new technologies. …”
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Comparative Analysis of Diabetes Prediction Models Using the Pima Indian Diabetes Database by Zhao Yize

“…This study provides an in-depth review and comparison of diabetes prediction models using the Pima Indian Diabetes database. The main aim is to contrast and evaluate the performance of two distinct predictive models: K-means clustering and Random Forest. …”
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