Investigating the Factors Affecting the Sleep of Babies Between 0-2 Years of Age by Ayşıl Seda Akar, İbrahim Haluk Yavuzer

“…Frequency analyses and chi-squared tests were also used to analyze the data. The analysis results consider p values less than 0.05 (p ≤ 0.05) to be statistically significant.Results: The mothers were mostly determined to simultaneously regulate the environmental sounds and lights in their babies’ sleep environment, with the majority of them putting their babies in their cribs in the same room as them. …”
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Factors Affecting the Quality of Internship among Public Health Students in Iran: A Narrative Review Study by MoradAli Zareipour, Masoumeh Abazari, Mohammad Saeed Fattahi Ardakani, Mojtaba Jadgal

“…At the conclusion of the study screening process, the findings from eight articles were included in the data analysis. Results: The findings of these studies indicated that the factors affecting the quality of public health internships include: cohesive planning, appropriate mentor-to-student ratio, incorporation of student feedback, careful attention to practical activity logs, utilization of educational aids, determination of suitable internship duration, clear placement of the internship within a health center subsidiary, regular evaluations at various stages, the provision of training workshops, and effective communication between students and mentors. …”
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Psychotropic activity evaluation of bromantane — N-(camphan-2-yl)anilines new structural analogues in in vivo tests by A. A. Vernigora, L. L. Brunilina, A. V. Kazhberov, N. S. Bolokhov, A. A. Pokhlebin, A. A. Sokolova, V. E. Pustynnikov, I. N. Tyurenkov, I. A. Novakov, V. I. Krasnov, D. N. Polovyanenko

“…The obtained data testify to the prospect of searching for substances with a psychotropic action in the range of aromatic camphor amines. …”
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High-throughput discovery of genetic determinants of circadian misalignment. by Tao Zhang, Pancheng Xie, Yingying Dong, Zhiwei Liu, Fei Zhou, Dejing Pan, Zhengyun Huang, Qiaocheng Zhai, Yue Gu, Qingyu Wu, Nobuhiko Tanaka, Yuichi Obata, Allan Bradley, Christopher J Lelliott, Sanger Institute Mouse Genetics Project, Lauryl M J Nutter, Colin McKerlie, Ann M Flenniken, Marie-France Champy, Tania Sorg, Yann Herault, Martin Hrabe De Angelis, Valerie Gailus Durner, Ann-Marie Mallon, Steve D M Brown, Terry Meehan, Helen E Parkinson, Damian Smedley, K C Kent Lloyd, Jun Yan, Xiang Gao, Je Kyung Seong, Chi-Kuang Leo Wang, Radislav Sedlacek, Yi Liu, Jan Rozman, Ling Yang, Ying Xu

“…Our study has established a systematic phenotype analysis approach that can be used to uncover the mechanism of circadian entrainment in mice.…”
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Parent–child shared book reading challenges and facilitators: a systematic review and meta synthesis by Jiaopeng Nan, Yin Tian

“…Studies were appraised for methodological quality using the Critical Appraisal Skills Program (CASP) checklist. Data from selected studies were extracted and analyzed using thematic synthesis, with an inductive coding process conducted through MAXQDA 24 software.ResultsThe analysis identified two main categories—facilitators and challenges—with ten first and 31 s categories. …”
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Characteristics and mechanisms of soil salinization in humid climate areas by Chunrui Wu, Xinqiang Du, Bo Meng, Hui Guo

“…Study region: The Sanjiang Plain, China Study focus: Using 509 field-collected soil samples and multi-source remote sensing data (Landsat and Sentinel-2) as model inputs, among several machine learning methods tested, the XGBoost model was identified as the most effective and was used to construct a soil salinization inversion model, revealing the spatiotemporal evolution of soil salinization from 1992 to 2022. …”
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Artificial intelligence in urban science: why does it matter? by Xinyue Ye, Tan Yigitcanlar, Michael Goodchild, Xiao Huang, Wenwen Li, Shih-Lung Shaw, Yanjie Fu, Wenjing Gong, Galen Newman

“…However, integrating artificial intelligence (AI) into urban science presents challenges, including data availability, ethical considerations, and the ‘black-box’ nature of many AI models. …”
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Enhancing drought monitoring through regional adaptation: Performance and calibration of drought indices across varied climatic zones of Iran by Saeed Sharafi, Fatemeh Omidvari, Fatemeh Mottaghi

“…The analysis covers three time scales—1, 3, and 12 ∼ months—and assesses the drought characteristics and criteria in diverse climate regions. …”
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An analytic study of knowledge retention at different time intervals among junior residents following recapitulation of presented slides silently at the end of teaching session by Suman Chattopadhyay

“…All participating JRs were assessed with five different Multiple Choice Questions (MCQs) each on the first and seventh day after sessions and again at Internal Assessment (IA) after 2 months. Data analysis was performed using paired t-tests for within-group comparisons, unpaired two-tailed t-tests, and ANOVA tests for between-group comparisons. …”
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New Perspectives on Lung Cancer Screening and Artificial Intelligence by Leonardo Duranti, Luca Tavecchio, Luigi Rolli, Piergiorgio Solli

“…Early detection is vital for improving patient outcomes; however, survival rates remain low due to late-stage diagnoses. Accumulating data supports the idea that screening methods are useful for improving early diagnosis in high-risk patients. …”
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Insurance Innovations as a Part of the Financial Inclusion by Iryna Didenko, Natalia Sidelnyk

“…In addition, the main vectors of development of innovative co-concept in the field of insurance are highlighted: machine learning, forecasting analytics, consumer protection system in the information space, the concept of “unstructured data”, artificial intelligence, blockchain technology, telematics. …”
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Changes in medical student attendance and its impact on student educational outcomes: a systematic review protocol by Isla Kuhn, Samuel Brown, Palaniappan Ganesh Nagappan, Alex McManus, Sarah Sayers, Shazia Absar, Sapphire Rou Xi Tan, Edward Lau, Charlotte Tulinius

“…Introduction The COVID-19 pandemic has had a significant impact on medical education, with many institutions shifting to online learning to ensure the safety of students and staff. …”
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Academic formation and permanent education: influences on leadership styles of nurses Formação acadêmica e educação permanente: influências nos estilos de liderança de enfermeiros... by Karen Cristina Kades Andrigue, Leticia de Lima Trindade, Simone Coelho Amestoy

“…Six nurses from the hospital network of Chapecó, Santa Catarina, participated in this study and typified different leadership styles. The data were collected through semi-structured interviews and analyzed according to Thematic Analysis. …”
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Bridging gaps in medical education for digital healthcare: A Singapore case study by Humairah Zainal, Xin Xiaohui, Julian Thumboo, Fong Kok Yong

“…Clinical-year medical students from all three local medical schools were recruited using convenience and snowball sampling, while purposive sampling ensured diverse representation of clinicians across Singapore’s public healthcare organisations, focusing on those engaged in education-related activities. Data were collected from September 2020 to February 2023 until thematic saturation was achieved, and analysed using qualitative thematic analysis. …”
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Multiclassification of Colorectal Polyps from Colonoscopy Images Using AI for Early Diagnosis by Jothiraj Selvaraj, Kishwar Sadaf, Shabnam Mohamed Aslam, Snekhalatha Umapathy

“…This research presents an extensive analysis of the multiclassification framework leveraging various deep learning (DL) architectures for the automated classification of colorectal polyps from colonoscopy images. …”
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Unravelling Antimicrobial Resistance in <i>Mycoplasma hyopneumoniae</i>: Genetic Mechanisms and Future Directions by Raziallah Jafari Jozani, Mauida F. Hasoon Al Khallawi, Darren Trott, Kiro Petrovski, Wai Yee Low, Farhid Hemmatzadeh

“…Techniques such as Whole Genome Sequencing (WGS) and multiple-locus variable number tandem repeats analysis (MLVA) have provided insights into the genetic diversity and resistance mechanisms of <i>M. hyopneumoniae</i>. …”
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Stress experience and coping strategies in medical studies – insights and a discussion of preventive measures by Warnken, Iris, Polujanski, Sabine, Rotthoff, Thomas, Schindler, Ann-Kathrin

“…Methods: A total of 22 semi-standardised, semi-narrative interviews were conducted with medical students, students in their practical year and junior doctors to gain retrospective perspectives on their studies. All data were audio-recorded, pseudonymised, fully transcribed as well as structured and analysed using qualitative content analysis, based on Kaluza’s stress model. …”
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Streamlining medical software development with CARE lifecycle and CARE agent: an AI-driven technology readiness level assessment tool by Steven N. Hart, Patrick L. Day, Christopher A. Garcia

“…Methods We developed the framework using an iterative process grounded in collaborative stakeholder analysis. Key institutional stakeholders—including clinical informatics experts, data engineers, ethicists, and operational leaders—were engaged to identify and prioritize the regulatory, ethical, and technical requirements unique to clinical AI/ML development. …”
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A qualitative investigation of the influences of gender among low-socioeconomic status students’ motivations to study biology by Svetlana Masjutina, Elizabeth Stearns

“…Results Using interview data from LSES students who were participants in an externally funded scholarship program, we found that personal interests, positive learning experiences, and particularly medical career opportunities were highly influential for shaping major-related choices for LSES students, comparable to the motivations seen among biology students from all demographic groups. …”
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Academic formation and permanent education: influences on leadership styles of nurses Formação acadêmica e educação permanente: influências nos estilos de liderança de enfermeiros... by Karen Cristina Kades Andrigue, Leticia de Lima Trindade, Simone Coelho Amestoy

“…Six nurses from the hospital network of Chapecó, Santa Catarina, participated in this study and typified different leadership styles. The data were collected through semi-structured interviews and analyzed according to Thematic Analysis. …”
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