The Policy Integration Concept of The Mahram Relationship on Nurseling Study on Nurseling Practices in Semarang, Central Java-Indonesia by Muna Madrah, Badieah, Andi Riansyah, Alamsyah Alamsyah, Dewi Ayu Fatmawati

“…In Muslim communities, donating breast milk has implications for the relationship between the child and the nursing mother, including the mother's husband and biological children. …”
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Mediterranean diet: a potential player in the link between oral microbiome and oral diseases by Giuseppina Augimeri, Giovanna Caparello, Ippolito Caputo, Rodolfo Reda, Luca Testarelli, Daniela Bonofiglio

“…Indeed, the MD is a plant-based diet, enriched of anti-inflammatory and antioxidant nutrients, which may induce beneficial effects against dental caries and periodontal diseases.Aim This review summarizes the role of the oral microbiome in the development of the oral diseases and the potential of MD in modulating the oral microbiome leading to implications for oral health.Conclusions The data collected highlight the need to promote the MD pattern along with the correct hygiene habits to prevent the development of oral diseases.…”
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Single‑cell RNA sequencing reveals TMEM71 as an immunomodulatory biomarker predicting immune checkpoint blockade response in breast cancer by Boyang Li, Ruonan Lin, Yibo Hua, Binlin Ma, Yi Chen

“…This study aimed to explore its prognostic value, immune relevance, and therapeutic implications in breast cancer. Methods We integrated transcriptomic, single-cell RNA-seq, immune infiltration and drug response data from TCGA, GTEx, GEO and public scRNA-seq datasets. …”
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Topological Resilience of Shipping Alliances in Maritime Transportation Networks by Tiago Novaes Mathias, Yoshihisa Sugimura, Tomoya Kawasaki, Yasuhiro Akakura

“…<i>Methods</i>: Using pre-2019 container vessel schedule data, we constructed a weighted node-edge network model of the GMCN. …”
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Examining the Interactional Metadiscourse Markers in Iranian MA Applied Linguistics Theses by Saeed Rezaei, Masoumeh Estaji, Mahdi Hasanpour

“…The selected corpus was analyzed using Hyland’s (2005) interactional model of metadiscourse. The data were explored through a manual corpus analysis method using Adobe PDF reader software. …”
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Functional Pragmatic Analysis in Building Students' Contextual Understanding of Literary Works by Rahayu Kuswardani, Muhaimin Abdullah, Rizky Ramadhan, Fithriyah Inda Nur Abida, Risman Iye

“…The study utilizes several data collection techniques, including observations, interviews, and document analysis. …”
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Research on the impact of tourism cooperation on urban public health by Liang Zhao, Guolei Zhou, Chen Li

“…This study examines the relationship between tourism cooperation and urban public health development, with a focus on China.MethodsUsing data from 284 Chinese cities over the period 2011-2022, this research measures both the degree of tourism cooperation and the level of urban public health development. …”
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Exploring teacher job satisfaction in five Latin American countries: A Multi-level analysis using TALIS 2018 by Christian Lazcano, Sara Galilea, Stefanie Wenderoth, Armando Rojas, María Soledad Ortúzar

“…This study investigates teacher job satisfaction in Chile, Argentina, Colombia, Mexico, and Brazil, using data from the 2018 Teaching and Learning International Survey. …”
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Enhancing flood susceptibility mapping in Sana’a, Yemen with random forest and eXtreme gradient boosting algorithms by Yahia Alwathaf, Ahmed M. Al-Areeq, Yousef A. Al-Masnay, Ali R. Al-Aizari, Nabil M. Al-Areeq

“…The results offer practical implications for urban planners and policymakers, facilitating targeted interventions to mitigate flood risks and improve urban resilience.…”
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The Impact of Organisational Climate on Staff Creativity: An Empirical Study of the Interplay by Marta Juchnowicz, Hanna Kinowska, Hubert Gąsiński

“…The proposed model was empirically verified by means of a confirmatory analysis via structural equation modelling (SEM CFA) on a sample of 1,000 employees, with the use of data collected in December 2023 and with a focus on exploring the impact of organisational climate on staff creativity through their job satisfaction. …”
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Political economy and income inequality: how did trade liberalization and changes in political and economic freedom affect the middle classes across the world? by Yener Kandogan, Scott D. Johnson

“…Particular attention is paid to the income levels of middle class in response to expanding trade freedoms. Data from 248 countries over a period of 25 years is analyzed using OLS estimation after identifying middle and other classes using absolute and relative approaches. …”
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Toxic Leadership and Job Satisfaction in the Middle Eastern Education Sector: The Influence of Organizational Culture and Trust by Fida Ragheb Hassanein, Samaneh Mohammadi, Pouya Zargar

“…Toxic leadership has profound implications for employees’ psychological wellbeing, particularly in academia, as a supportive workplace is crucial for intellectual prosperity and growth. …”
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Artificial intelligence for higher education: benefits and challenges for pre-service teachers by Daiga Kalniņa, Dita Nīmante, Sanita Baranova

“…IntroductionThe study investigates the integration of artificial intelligence (AI) in higher education (HE) and its impact on pre-service teachers at the University of Latvia (UL) by exploring pre-service teachers' perceptions of the benefits and challenges of AI in both their academic learning and their future professional roles as educators, particularly regarding the promotion of inclusive education.MethodsData was collected via an online survey of 240 pre-service teachers across various disciplines at the UL. …”
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The economic and poverty impact of migration: is repeated migration better than one-way migration? by Nanang Widaryoko, Sukamdi Sukamdi, Agus Joko Pitoyo

“…Scholarly discourse on migration has traditionally examined the welfare implications for migrants and non-migrants, yielding diverse perspectives. …”
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A lifecourse approach to long-term sickness absence--a cohort study. by Max Henderson, Charlotte Clark, Stephen Stansfeld, Matthew Hotopf

“…<h4>Methods</h4>We analysed data from the 1958 British Birth Cohort. Long-term sickness absence was defined as receipt of Incapacity Benefit/Severe Disablement Allowance at age 42. …”
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Efficiency of Ranking Implementation in University Management System: Practical Experience by V. V. Lazarenko, V. A. Lipatov, T. A. Oleynikova, D. A. Severinov, N. B. Filinov

“…Methods: As criteria for this study, we used data, obtained during an external audit, performed by Interdepartmental monitoring commission in higher educational institutions of Russian Ministry of Education in 2013–2017. …”
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Anatomical regions of residual hemorrhage in chronic subdural hematoma by Abdullah Emre Taçyıldız, Melih Üçer, Kübra Gezici, Gökhan Canaz, Aydın Sinan Apaydın

“…Data were collected from the hospital's electronic database, including patient history, physical examination records, and preoperative and postoperative imaging. …”
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Effects of flood-recession production system on rice yield in Ghana by Franklin Nantui Mabe

“…The study used cross-sectional data and an endogenous treatment effect model for the comparative analysis. …”
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The e-entrepreneurial intention of students: The role of self-efficacy and education by Minh Pham, Bao Quoc Lam, Vi Phuong Tran Le

“…By convenient sampling, data were collected from 406 students studying at universities in Ho Chi Minh City. …”
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Interactive Mitigation of Biases in Machine Learning Models for Undergraduate Student Admissions by Kelly Van Busum, Shiaofen Fang

“…Because these issues are intrinsically subjective and context-dependent, creating trustworthy software requires human input and feedback. (1) Introduction: This work introduces an interactive method for mitigating the bias introduced by machine learning models by allowing the user to adjust bias and fairness metrics iteratively to make the model more fair in the context of undergraduate student admissions. (2) Related Work: The social implications of bias in AI systems used in education are nuanced and can affect university reputation and student retention rates motivating a need for the development of fair AI systems. (3) Methods and Dataset: Admissions data over six years from a large urban research university was used to create AI models to predict admissions decisions. …”
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