Generative AI as a Cognitive Co-Pilot in English Language Learning in Higher Education by Muhammad Zaim, Safnil Arsyad, Budi Waluyo, Havid Ardi, Muhd. Al Hafizh, Muflihatuz Zakiyah, Widya Syafitri, Ahmad Nusi, Mei Hardiah

“…Employing a mixed-methods approach, the research collected data from 277 students using surveys and structured interviews to gauge both quantitative and qualitative aspects of GenAI tool utilization. …”
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Exploring Scandinavian approaches to defense budget transparency in Ukraine: A theoretical review of opportunities and challenges by Yuliia Petlenko, Ganna Kharlamova, Vincentas Rolandas Giedraitis, Andriy Stavytskyy, Erstida Ulvidienė

“…By providing a structured approach, this study contributes to the broader discourse on public finance transparency, offering practical recommendations tailored to Ukraine’s specific challenges.…”
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Early pulmonary rehabilitation recommended decision-making behavior experience among pediatric intensive care unit medical staff: a qualitative study by WenQian Cai, WenQian Cai, WenQian Cai, Meng Li, ChengCheng Li, Mei Li, XiaoKe Zhao, YaHui Zuo, Lu Zhang, YuYing Yang

“…A descriptive qualitative research method was used, and a purposive sampling method was employed to select medical staff from the intensive care unit of a tertiary children's hospital in Nanjing from September to December 2023 for semi-structured interviews. The interview data were coded using the COM-B and TDF frameworks, and analyzed, summarized, and refined using the Colaizzi 7-step method to extract themes.ResultsFour main themes and 13 sub-themes were extracted, including the need for pulmonary rehabilitation knowledge and skills, the experience of implementing pulmonary rehabilitation in critically ill children, communication and collaboration in the PICU rehabilitation platform, and external support for PICU pulmonary rehabilitation.ConclusionIn the process of recommending early pulmonary rehabilitation for critically ill children, departments should help PICU medical staff change their views on pulmonary rehabilitation and acquire relevant knowledge and skills, strengthen multidisciplinary cooperation, optimize external support, and create a good practice environment for the implementation and promotion of early pulmonary rehabilitation for critically ill children.…”
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TPE-LCE-SHAP: A Hybrid Framework for Assessing Vehicle-Related PM2.5 Concentrations by Hamad Almujibah, Abdulrazak H. Almaliki, Caroline Mongina Matara, Adil Abdallah Mohammed Elhassan, Khalaf Alla Adam Mohamed, Mudthir Bakri, Afaq Khattak

“…The framework integrates the Local Cascade Ensemble (LCE) model, optimized using the Tree-structured Parzen Estimator (TPE) strategy, with SHapley Additive exPlanations (SHAP) to enhance interpretability. …”
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Conceptual principles of stimulating the attraction of investments in reconstruction projects of Ukraine by Vladyslav TEREMETSKYI, Volodymyr USTYMENKO, Olena KUREPINA, Kseniia TOKARIEVA, Mariana MALCHYK, Oleksii FAST, Viktor DOVHAN

“… The article’s purpose is to develop the conceptual basis for the formation of a complex investment mechanism combining legal, economic, and organizational investment stimulation tools for the reconstruction of Ukraine in the post-war period. System-structural, logical, dialectical, and dogmatic methods of scientific knowledge were applied, which enabled a thorough study of the regulatory framework, theoretical concepts, and empirical data in the field of investment activity regulation. …”
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Developing advanced datadriven framework to predict the bearing capacity of piles on rock by Kennedy C. Onyelowe, Shadi Hanandeh, Viroon Kamchoom, Ahmed M. Ebid, Fabián Danilo Reyes Silva, José Luis Allauca Palta, José Luis Llamuca Llamuca, Siva Avudaiappan

“…Abstract Developing accurate predictive models for pile bearing capacity on rock is crucial for optimizing foundation design and ensuring structural stability. This research presents an advanced data-driven framework that integrates multiple machine learning algorithms to predict the bearing capacity of piles based on geotechnical and in-situ test parameters. …”
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The influence of celebrity credibility, attractiveness, and social media influence on trustworthiness, perceived quality, and purchase intention for natural beauty care products by Md Shamim Hossain, Tarannum Islam, Md. Asaduzzaman Babu, Mehejabin Moon, Mehanaj Mim, Md Tamjid Ul Alam, Aditya Bhattacharjee, Most. Sadia Sultana, Mst. Mumtahina Akter

“…Data were collected from a sample of consumers who engage with natural beauty care products on social media. …”
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Transcriptome Analysis Reveals the Requirement of the TGFβ Pathway in Ascidian Tail Regression by Wenjie Shi, Penghui Liu, Dongyu Yang, Yuan Zhuang, Boyan Lin, Bo Dong

“…Together with qRT-PCR verification, we identified four critical gene functional categories, including ion transporters/water channel, extracellular matrix structural constituent, extracellular matrix organization, and cell polarity establishment. …”
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Unveiling the role of frugal and digital capabilities in the financing of deep tech startups by Keully Cristynne Aquino Diógenes, Ana Carolina Calçado Lopes Martins, Claudia Pavani, Felipe Mendes Borini, Guilherme Ary Plonski

“…The hypotheses were tested using structural equation modeling through the Partial Least Squares (PLS-SEM) method. …”
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Numerical Evaluation of Abdominal Aortic Aneurysms Utilizing Finite Element Method by Konstantinos Kyparissis, Nikolaos Kladovasilakis, Maria-Styliani Daraki, Anastasios Raptis, Polyzois Tsantrizos, Konstantinos Moulakakis, John Kakisis, Christos Manopoulos, Georgios E. Stavroulakis

“…Towards this direction, Finite Element Models (FEMs) have emerged as a pivotal tool in medical research, particularly in simulating and understanding the complex fluid and structural behaviors of the circulatory system. Furthermore, this tool can be used for the calculation of certain risks regarding the function of the blood vessels. …”
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Diffraction studies of WS2 crystallographic ordering during laser MBE growth on Al2O3(0001) by E. Lobanova, M. Dorogov, V. Fedorov, T. Grasser, Y. Illarionov, I. Eliseyev, V. Davydov, A. Korovin, S. Suturin, N. Sokolov

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Lipids modulate the dynamics of GPCR:β-arrestin interaction by Antoniel A. S. Gomes, Michela Di Michele, Rita Ann Roessner, Marjorie Damian, Paulo M. Bisch, Nathalie Sibille, Maxime Louet, Jean-Louis Banères, Nicolas Floquet

“…Abstract β-arrestins are key molecular partners of G Protein-Coupled Receptors (GPCRs), triggering not only their desensitization but also intracellular signaling. Existing structural data point to high conformational plasticity of GPCR:β-arrestin interaction, with two completely different orientations between receptor and β-arrestin. …”
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Image Processing for Laser Impact Detection in Shooting Simulators by José Antonio García Torres, Daniel Guzmán Pérez, Jhon Fredy Rincón Morantes, Daniel Felipe Molina Martínez, Cristian Camilo García Rodríguez, Jhonnatan Eduardo Zamudio Palacios

“…The methodology was structured in four phases: (1) system requirements analysis, (2) hardware and software development, (3) system integration with a real firearm, and (4) functional testing in both controlled and open environments. …”
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Uncovering the state of knowledge about healthcare gentrification: a scoping review protocol by Isabelle Dufour, Christine Loignon, Martine Shareck, Nataly R Espinoza Suarez, Sophie Dupere, Philippe Apparicio, Julie Ouellet, Justine Pineault, Simone Amagnamoua, Marie-Claude Laferrière, Isabelle Wilson

“…To understand the complexity of healthcare access and to consider the socio-structural dimensions affecting equity in access to care, we aim to explore how healthcare gentrification has been described in the scientific literature and to document the reported relations between gentrification and healthcare access.Methods and analysis We will conduct a scoping review from data published from inception to September 2024 based on the methodology developed by Arksey and O'Malley (2005) and improved by Levac et al (2010). …”
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The Effect of AI Gamification on Students’ Engagement and Academic Achievement in Malaysia: SEM Analysis Perspectives by Nisar Ahmed Dahri, Noraffandy Yahaya, Waleed Mugahed Al-Rahmi, Latifah Almuqren, Abeer S. Almgren, Abdulrahman Alshimai, Ahmad Samed Al-Adwan

“…A quantitative approach was employed, combining online surveys and structural equation modeling (SEM) analysis with 290 students from Malaysia. …”
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Black gold, dark realities: Unpacking the socio-economic and environmental fallout of unauthorized oil extraction (Investigation in East Aceh, Indonesia) by Said Musnadi, Ridwan Ibrahim, Zuraida Zuraida, Maulidar Agustina, Mahdani Ibrahim

“…Using proportional random sampling techniques, 245 respondents were selected, representing owners and investors (9), tenant investors (18), workers/laborers (68), melters (6), public figures/community leaders (3), the community (138), and village government officials (3). Data were analyzed using structural equation modeling (SEM) with AMOS software. …”
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A Comparison of the Brain Parameters of Thais with Normal Cognition, Mild Cognitive Impairment, and Dementia by Pariwat Wisetwongsa, Sitha Piyaselakul, Yudthaphon Vichianin, Pipat Chiewvit, Chatchawan Rattanabannakit, Saowalak Hunnangkul, Natthamon Wongkom, Pathitta Dujada, Vorapun Senanarong

“…Method: A total of 116 participants were categorized into dementia, MCI, and NC groups, and their brain scans using structural magnetic resonance imaging (MRI) were processed and automatedly analyzed with FreeSurfer to obtain the absolute brain volume, volume normalized by intracranial volume (ICV), and cortical thickness. …”
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Effect of Mannoprotein-Producing Yeast on Viscosity and Mouthfeel of Red Wine by Emerson Núñez, Josefina Vidal, Matías Chávez, Edmundo Bordeu, Fernando Osorio, Sebastián Vargas, Elba Hormazábal, Natalia Brossard

“…Prospects involve further exploration of correlations between mouthfeel sensations, sensory descriptors, and the structural characteristics of mannoproteins, aiming for a more comprehensive understanding of the intricate interplay in wine composition.…”
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Screening HFC/HFO and ionic liquid for absorption refrigeration at the atomic scale by the prediction model of machine learning by Jianchun Chu, Maogang He, Georgios M. Kontogeorgis, Xiangyang Liu, Xiaodong Liang

“…This model employs the Attention E(n)-equivariant Graph Neural Network (AEGNN) applied to disconnected graphs, enabling comprehensive learning from both topological and Euclidean structural information. Our atomic-scale model demonstrates significantly higher accuracy than traditional group contribution methods, with an average absolute deviation of 0.003 mol/mol from experimental data. …”
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Risk Assessment of Sudden Coal and Gas Outbursts Based on 3D Modeling of Coal Seams and Integration of Gas-Dynamic and Tectonic Parameters by Vassiliy Portnov, Adil Mindubayev, Andrey Golik, Nurlan Suleimenov, Alexandr Zakharov, Rima Madisheva, Konstantin Kolikov, Sveta Imanbaeva

“…An expert scoring system was used to convert geological and gas-dynamic data into a comprehensive risk index guiding preventive measures. …”
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