The role of artificial intelligence in promoting health and developing preventive strategies for diabetes by Ameneh Marzban

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Delayed leaf green-up is associated with fine particulate air pollution in China by Wendi Qu, Hao Hua, Ting Yang, Constantin M. Zohner, Josep Peñuelas, Jing Wei, Le Yu, Chaoyang Wu

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In silico exploration of anticancer plant phytochemicals for EGFR-targeted lung cancer therapy by Chaity Debnath Dipa, Sharika Hossain, Md. Moinul Karim Chy, Mohammad Sheikh Farider Rahman, Tanvir Kayes, Afia Maimuna Easha, Abu Tayab Moin, Suvarna N. Vakare, Rajesh B. Patil, Bidduth Kumar Sarkar

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Weight-adjusted waist circumference index and chronic diseases as predictors of depression risk in U.S. adults: a cross-sectional study with mediation analysis by Yali Guo, Meilin Song, Cuixiao Wang, Cuixiao Wang

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Molecular Dynamics-Assisted Discovery of Novel Phosphodiesterase-5 Inhibitors Targeting a Unique Allosteric Pocket by Weihao Luo, Runduo Liu, Xinlin Cai, Qian Zhou, Chen Zhang

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Revitalizing agriculture with the potential of cashew nutshell liquid: a comprehensive exploration and synergy with AI by Sneha Nayak, Roopa B. Hegde, Abhishek S. Rao, H. K. Sachidananda

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Effects of Parent-Adolescent Relationship Quality on Youth Symptoms Amidst COVID-19 by Frances M. Lobo, Casandra J. Gomez Alvarado, Giselle De Leon, Valerie V. Salcido, Paula Sanchez-Hernandez, Gabriela L. Stein

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The effect of core nodes of geographical identity on psychological stress in network analysis by Lei Zhang, Yang Wang, Haibo Yang

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Virtuous personality and bystander defending behavior among college students: roles of moral identity and friendship quality by Shen Liu, Ping Wang, Wenxiao Gao, Minghua Song, Na Zhang

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Mediating Role of Mindfulness and Self-Regulation in the Relationship between Perceived Stress and Subjective Well-Being Among University Students by Lu Xiong, Rosli Talif, Saeid Motevalli

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Artificial intelligence technology in the clinical analysis of a patient with a mental disorder (case report) by Dmitry I. Nozdrachev, Maksim P. Marachev, Pavel S. Evgenov, Natalia N. Petrova

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Retirement age and the age of onset of Alzheimer's disease: results from the ICTUS study. by Catherine Grotz, Luc Letenneur, Eric Bonsang, Hélène Amieva, Céline Meillon, Etienne Quertemont, Eric Salmon, Stéphane Adam, ICTUS/DSA group

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Machine learning analysis of the relationships between traumatic childbirth experience with positive and negative fertility motivations in Iran in a community-based sample by Mahdieh Arian, Talat Khadivzadeh, Mahla Shafeei, Sedigheh Abdollahpour

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Leveraging IoT-Enabled Sensor Networks and Machine Learning for Early Detection and Management of Wheat Rust by Adnan Myasar M., Almoussawi Zainab Abed, Anuradha Kodali

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Organizational barriers in HPV vaccination uptake: A cross-sectional study among health sciences students. by Giuseppina Palena, Irene Stilo, Michele Sorrentino, Claudio Fiorilla, Raffaele Palladino

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Medical and technical aspects of using intraocular lenses with extended depth of field by M. E. Konovalov, A. V. Morenko

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Understanding repeated non-attendance in health services: a pilot analysis of administrative data and full study protocol for a national retrospective cohort by Alex McConnachie, Philip Wilson, Ross McQueenie, David A Ellis, Andrea E Williamson

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Unfavourable sedentary and physical activity behaviour before and after retirement: a population-based cohort study by Maria Ekblom, Yvonne Forsell, Nienke ter Hoeve, Carla F J Nooijen

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Explaining the Happiness of Married Women in Mashhad (North-western Iran) Based on Self-Compassion and Marital Conflicts with the Mediating Role of Self-efficacy by zahra kermani mamazandi, samane tavana

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A comparison of three executive function interventions on direct and far transfer in Chilean school children: a cluster-randomized controlled protocol by Nicholas Napolitano, Cristian A. Rojas-Barahona, Jorge Gaete, Ricardo Araya

“…Abstract Background Executive functions (EF) are cognitive processes that support goal-directed behaviors that are essential for children’s academic success, predicting school performance more strongly than IQ. …”
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