Knowledge of risk factors of heart disease among medical students and interns: A cross-sectional study from King Khalid University, Saudi Arabia by Nasser G. Alqahtani, Amira Yasmine Benmelouka, Reem Hamad S Aldosari, Lama Gasem Asiri, Lujain Y. AlKasi, Shatha A. Almasswary, Alshaima Alassim, Aljohrah M. Al Hunaif, Shuruq Abdullah M Alqahtani, Miad A. Abu Mughaedh, Amr Ehab El-Qushayri

“…Background: Cardiovascular disorders (CVD) are the 1st leading cause of death worldwide. Education and information diffusion of the general population and especially of future health care providers play a pivotal role in CVD prevention. …”
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Language Loss – The Downside of Multilingualism?

“…Language Learning and Teaching: The contributions stress the need for effective teaching methods that respect the linguistic backgrounds of students, suggesting that a more integrated approach to language education can help mitigate attrition. …”
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The Influence of School Backpack Load on Dynamic Gait Parameters in 7-Year-Old Boys and Girls by Paulina Tomal, Anna Fryzowicz, Jarosław Kabaciński, Dominika Witt, Przemysław Lisiński, Lechosław B. Dworak

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Quality of life of a patient with computer vision syndrome depending on the type of accommodative astenopia by I. G. Ovechkin, М. E. Konovalov, E. I. Kovrigina, O. G. Leksunov, V. E. Yudin

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Commercialising Public Research under the Open Innovation Model: New Trends by Mario Cervantes, Dirk Meissner

“…The authors stress that the quality of research has a strong influence on knowledge and technology transfer. …”
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Natural Copper Ion Scavenger: Investigation of the Hepatoprotective Effects of Green Tea Extract in Toxic-Milk Mice with Wilson’s Disease Model by Delai Yang, Shujuan Xuan, Wang Zhang, Huan Wu, Yuge Jiang, An Zhou

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Unveiling the Impact of Grit and Learning Agility on Academic Burnout Among Nursing Students: A Cross-Sectional Study by Ibrahim Abdullatif Ibrahim PhD, Atallah Alenezi PhD, Heba Rabea Hagrass PhD, Hoda Reda Abdou PhD

“…Introduction Nursing students often experience academic burnout due to the intense demands of their education, affecting their performance and well-being. …”
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Prevalence and risk factors of common mental health symptoms among left-behind emerging adult children amid the COVID-19 pandemic by I. Marie Joy S. Gallemit, Imelu G. Mordeno

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Gender differences in suicide in Serbia within the period 2006-2010 by Dedić Gordana

“…Suicide prevention Programme should be primarily oriented toward the male population because it is more exposed to stress in the period of social transition, but males are still less ready to ask for doctor's help when having some problems with mental health.…”
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The body image and eating disorder symptoms of Chinese female university students: The parallel mediating roles of core self-evaluations and negative emotions by Pingping Hou

“…Methods: A random sample of 668 female university students completed an online survey using the Body Image State Scale (BISS), Eating Disorder Examination Questionnaire (EDE-QS), Core Self-Evaluations Scale (CSES), and Depression Anxiety Stress Scales (DASS-21). SPSS Statistics 26 was used for reliability, validity, descriptive statistics, and correlation analysis, while mediation analysis was conducted using Model 4 in PROCESS 4.0. …”
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Parental knowledge levels regarding the care and nurturing of preterm infants by Malgorzata Barbara Wójtowicz-Szefler, Hanna Bachurska

“…However, research indicates that parents often lack sufficient knowledge in key areas, contributing to increased stress, anxiety, and inadequate care for preterm infants. …”
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Enhancing foster care relationships through attachment-based intervention: the safe families study protocol, a randomized controlled trial of the circle of security parenting progr... by Mathieu Pereira, Lauriane Sedes, Emilie Gadéa, Rebecca Shankland

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Machine learning-assisted quantitative metabolomics of West African patients with advanced breast cancer by Aboubacar Dit Tietie Bissan, Mathieu Michel, Xavier Dieu, Cinzia Bocca, Awo Emmanuela Hilda Amegonou, Fatoumata Matokoma Sidibe, Madani Ly, Bocary Sidi Koné, Nènè Oumou Kesso Barry, Kletigui Casimir Dembélé, Bakary Cissé, Bourèma Kouriba, Gilles Simard, Delphine Mirebeau-Prunier, Juan Manuel Chao de la Barca, Zahra Ouzzif, Pascal Reynier

“…The data were compared with those of 79 healthy controls using a combination of several machine learning approaches and statistical analyses. The predictive models obtained with the machine learning algorithms were comparable, with the best AUC of 0.878 obtained with ridge logistic regression using Boruta feature selection. …”
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Association between dietary selenium intake and endometriosis risk: a cross-sectional analysis by Jia-Jie Guo, Jia-Jie Guo, Jia-Jie Guo, Jia-Jie Guo, Jia-Jie Guo, Rui-Xuan Li, Rui-Xuan Li, Rui-Xuan Li, Rui-Xuan Li, Rui-Xuan Li, Wen-Li Shang, Wen-Li Shang, Wen-Li Shang, Wen-Li Shang, Wen-Li Shang, Ya-Fang Zheng, Ya-Fang Zheng, Ya-Fang Zheng, Ya-Fang Zheng, Ya-Fang Zheng, Guo-Yi Zhu, Guo-Yi Zhu, Guo-Yi Zhu, Guo-Yi Zhu, Guo-Yi Zhu, Zhou-Chang Shu, Zhou-Chang Shu, Zhou-Chang Shu, Zhou-Chang Shu, Zhou-Chang Shu, Gui-Chao Liu, Gui-Chao Liu, Gui-Chao Liu, Gui-Chao Liu, Gui-Chao Liu, Hong-Biao Ou, Hong-Biao Ou, Hong-Biao Ou, Hong-Biao Ou, Hong-Biao Ou, Jia-Ying Li, Jia-Ying Li, Jia-Ying Li, Jia-Ying Li, Jia-Ying Li, Xu-Guang Guo, Xu-Guang Guo, Xu-Guang Guo, Xu-Guang Guo, Li-Hong Lin, Li-Hong Lin, Li-Hong Lin, Li-Hong Lin, Li-Hong Lin

“…In the highest dietary selenium intake group, the adjusted model II revealed a reduction in the risk of EMs by approximately 34.1% (OR = 0.659, 95% CI: 0.449, 0.967). …”
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Light-driven phenotypic plasticity in the depth-generalist coral, Pavona varians. by Claire J Lewis, Shayle B Matsuda, Tayler L Sale, Caitlyn Genovese, Chelsea S Wolke, Norton Chan, Stephen Ranson, Jake M Ferguson, Amy L Moran, David A Gulko, Peter B Marko

“…This additively negative relationship in the model is consistent with the hypothesis that reductions in bleaching at depth could be the product of reduced light stress at depth rather than reduced temperature stress. …”
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High-temperature flow behavior and processing map of Inconel 625 alloy under electric heating by Changyuan Jia, Han Yin, Kaitian Mei, Wangqing Wu, Bingyan Jiang

“…A strain-compensated Arrhenius constitutive model was established, demonstrating high predictive accuracy validated by a correlation coefficient (R = 0.9901) and an average absolute relative error (AARE = 5.75 %). …”
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Accurate earthquake and mining tremor identification via a CEEMDAN-LSTM framework by Chao Wang, Xiufeng Zhang, Weiming Gao, Fangfang Wang, Jianqi Lu, Jianqi Lu, Zhaoyang Yan, Zhaoyang Yan

“…Moreover, using a catalog purely consisting of earthquakes allows for more advanced seismological studies, such as active fault delineation, strong earthquake prediction, and stress field calculations, to be conducted. …”
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Hydric and Thermal Traits of Northern Australian Geckos: Water Loss Is Not Explained by Aridity by Kade Skelton, Craig Moritz, Kimberley A. Day, Chava L. Weitzman, Stephen M. Zozaya, Christine Schlesinger, Michael Kearney, Keith A. Christian

“…For example, reptiles from arid locations tend to have lower rates of evaporative water loss (EWL). Here we test the prediction that geckos adapt their physiology to match the local environment to reduce hydric and thermal stress. …”
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The Cause of Shale Oil Overpressure and Its Influence on Productivity in Jimsar Sag by CAO Zhifeng, LIN Jingqi, LING Liang, WANG Xianhu, TAN Xiaobin, WANG Haipeng, ZHAO Hongyi, XU Rui, ZHANG Yanli

“…The research results provide a basis for prediction and efficient development of shale oil favorable area of Permian Lusaogou formation in Jimsar sag.…”
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Non-guided, mobile, CBT-I-based sleep intervention in War-torn Ukraine: A feasibility study. by Anton Kurapov, Jens Blechert, Alexandra Hinterberger, Pavlos Topalidis, Manuel Schabus

“…Participants reported significant pre-post reductions in the severity of symptoms, with sleep problems decreasing by 22.60% (Cohen's d = 0.53), insomnia by 35.08% (d = 0.69), fear of sleep by 32.43% (d = 0.25), anxiety by 27.72% (d = 0.48), depression by 28.67% (d = 0.52), PTSD by 32.41% (d = 0.51), somatic symptoms by 24.52% (d = 0.51), and perceived stress by 17.90% (d = 0.39). …”
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