Acceptance of Elective Single-embryo Transfer in a Resource-limited Setting: A Cross-sectional Questionnaire-based Study by Nithya Panapakkam Jayakumar, Megha Solanki, Reka Karuppusami, Treasa Joseph, Thayparmbil Kunjummen Aleyamma, Mohan Shashikant Kamath

“…Aims: We planned a study to evaluate the knowledge and attitude of infertile couples undergoing assisted reproductive technology towards eSET in self-funded treatment cycles in a low-resource setting. Settings and Design: We conducted a cross-sectional study at a tertiary-level referral facility between February 2020 and September 2022. …”
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Presenting a Framework of Effective Factors on the Implementation of Policies in the Field of Protection and Exploitation of Forests in the North of the Country by Davoud Hosseinpoor, Seyed Mahdi Alvani, Hossein Aslipour, Aghil Ghorbani Paji

“…Objective Environmental protection in Iranian law is designated as a public duty, reflecting its critical importance. The complex, cross-sectoral, and multi-dimensional nature of environmental protection mandates that this responsibility be shared broadly across various sectors. …”
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Individual physical activity preferences of adolescents in the Czech Republic and Poland: a 14-year comparative study reflecting the gender trends and prospective responses to glob... by Michal Kudlacek, Karel Fromel, Dorota Groffik, Josef Mitas

“…Additionally, an increased preference for running was associated with a higher likelihood of meeting weekly PA recommendations for both girls (OR = 1.82, CI = 1.62–2.04, p < 0.001) and boys (OR = 1.61, CI = 1.44–1.82, p < 0.001) in both countries. Conclusions Over a 14-year period, swimming, cycling, and running emerged as the most preferred PA across both Czech and Polish youth, with a notable increase in running, especially among Czech boys. …”
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Machine Learning Algorithm for Estimating Surface PM2.5 in Thailand by Pawan Gupta, Shanshan Zhan, Vikalp Mishra, Aekkapol Aekakkararungroj, Amanda Markert, Sarawut Paibong, Farrukh Chishtie

“…The integrated data then used to train and validate a supervised MLA’ random forest’ to estimate hourly and daily PM2.5 concentrations. The MLA is cross-validated using a 10-fold random sampling approach. …”
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