Development of a Serious Game to Simulate Neonatal Intensive Care Unit Experiences: Collaborative Quasi-Experimental Study by Yukihide Miyosawa, Koichi Hirabayashi, Kodai Yamada, Fumiya Kobayashi, Nanami Ogihara, Noa Takeda, Eri Okamura, Shogo Matsumura

“…Descriptive and inferential statistics were used for data analysis. ResultsThe game, titled First Steps in the NICU, was released for iOS, Android, and Steam. …”
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“QUANDO PARLO ITALIANO SENTO DI ESSERE ABBRACCIATO SPESSO” – “WHEN I SPEAK ITALIAN, I FEEL LIKE I’M BEING HUGGED”. A JOURNEY ACROSS LOTE MOTIVATION AND PERSISTENCE by Elvira Carlotti, Gholam Najafi Fusaro

“… This paper explores the language learning history and motivational dynamics of Gholam Najafi Fusaro, who came to Italy as an unaccompanied minor in 2006 and has spent eighteen years in Venice, where he attended school and university. …”
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Special Issue on Contemporary Research Studies in Operations Research, Business Analytics, and Business Intelligence by Viswanath Kumar Ganesan, S. Vinodh, Malolan Sundararaman, M. Vimala Rani, M. Mathirajan

“…Globally, enterprises are undergoing significant transformation in line with developments based on industrial revolution by leveraging extensive computing resources, data capture technologies, information processing systems, and advanced data science models that span analytics, optimization, and algorithmic intelligence. …”
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Identifying, categorizing and ranking performance indicators of schools using Q method by Seyed Mahmoud Jalilian, Shahnaz Naibzadeh, seyyed hasan hataminasab, seyed ali almodaresi

“…Content analysis was used in qualitative data analysis, and SPSS software and Q method were used in quantitative data analysis. …”
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On the issue of organizing a school theater: Setting pedagogical goals and objectives by Olga A. Staina

“…Research materials and methods: a comparative analysis of methodological recommendations for teachers on organizing theater activities at school, analysis of scientific literature related to the problem for 2022, empirical methods: collection and analysis of data on the activities of school theater groups in the Russian Federation, analysis of official documents, study of practical activities of teachers - heads of school theater groups. …”
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Construction of mitochondrial signature (MS) for the prognosis of ovarian cancer by Miao Ao, You Wu, Kunyu Wang, Haixia Luo, Wei Mao, Anqi Zhao, Xiaomeng Su, Yan Song, Bin Li

“…After univariate Cox analysis, prognostic genes were carried out for modeling mitochondria signature (MS) based on 101 combinations of 10 machine learning algorithms. …”
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The attitude of future teachers towards the use of generative artificial intelligence in solving professional tasks by Aleksandr I. Minakov, Svetlana V. Zenkina

“…Methods included self-assessment (attitude survey), analysis of survey data, and statistical processing of results using the Student’s t-test to assess the significance of changes in future teachers’ attitudes towards AI. …”
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Machine Reading Comprehension for the Tamil Language With Translated SQuAD by Anton Vijeevaraj Ann Sinthusha, Eugene Y. A. Charles, Ruvan Weerasinghe

“…This superior performance is attributed to the model’s cross-lingual learning capability and the increased number of data records used for fine-tuning. …”
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Aerodynamic Drag Coefficient Prediction of a Spike Blunt Body Based on K-Nearest Neighbors by Jonathan Arturo Sánchez Muñoz, Christian Lagarza-Cortés, Jorge Ramírez-Cruz

“…This work extrapoled k-Nearest Neighbors to predict the drag coefficient of a spike blunt body for a range of supersonic and hypersonic speeds based on drag data obtained from CFD analysis. The parametric study of the spike blunt body was performed considering body diameter, spike length, and freestream Mach number as input variables. …”
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TREE SPECIES DIVERSITY IN PHRA THAT SI MUEANG PONG AREA, CHIANG MAI PROVINCE, THAILAND by Pongpan Leelahakriengkrai, Akharasit Bunsongthae, Audcharapat Insing

“… - Study provides foundational data for future ecological research. Abstract This research conducted a survey of perennial flora in ten subplots along the pathway leading to Phra That Si Mueang Pong, identifying a total of 30 species representing 20 families, 28 genera.  …”
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Predicting the Unconfined Compressive Strength of Rice Husk Ash – Treated Fine-grained Soils by Rizgar A. Blayi, Jamal I. Kakrasul, Samir M. Hamad

“…The findings present that these predictive models provide a hybrid empirical–machine learning approach, and an accurate alternative to traditional UCS testing, significantly reducing the need for laboratory experiments. …”
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Epistemological Foundations of Fashion Pedagogy: Investigating Knowledge and Emerging Issues by Emanuele Isidori, Irina Leonova, Roberta Alonzi, Maristella Trombetta, Elsa M. Bruni, Angela Magnanini

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Mediating Roles of Cultural Perception and Place Attachment in the Landscape–Wellbeing Relationship: Insights from Historical Urban Parks in Wuhan, China by Chang Su, Xin Wang, Yunda Wang, Yixiu Chen, Fei Dai, Xudounan Chen

“…Machine learning techniques, spatial analysis, and statistical methods including multistep regression and Bootstrap sampling were employed to test our hypotheses. …”
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Soil Parameter Inversion in Dredger Fill Strata Using GWO-MLSSVR for Deep Foundation Pit Engineering by Changrui Chen, Sifan Li, Jinbi Ye, Fangjian Chen, Yibin Wu, Jin Yu, Yanyan Cai, Jinna Lin, Xianqi Zhou

“…A case study on a foundation pit in the dredger fill stratum of Xiamen Railway integrates finite element simulation with machine learning. The proposed GWO-MLSSVR model demonstrates high predictive accuracy, with lateral displacement predictions closely matching field monitoring data and relative errors within 5% at various depths of measurement point. …”
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Socially sustainable housing and built environments to support the health and social inclusion of older adults: protocol for a scoping review and stakeholder consultation by Marie Elf, Jodi Sturge, Elke Miedema, Susanna Nordin

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Cognitive Radio for Smart Grid: Theory, Algorithms, and Security by Raghuram Ranganathan, Robert Qiu, Zhen Hu, Shujie Hou, Marbin Pazos-Revilla, Gang Zheng, Zhe Chen, Nan Guo

“…Cognitive radios are intelligent software defined radios (SDRs) that efficiently utilize the unused regions of the spectrum, to achieve higher data rates. The smart grid is an automated electric power system that monitors and controls grid activities. …”
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In Silico Approach for Antibacterial Discovery: PTML Modeling of Virtual Multi-Strain Inhibitors Against <i>Staphylococcus aureus</i> by Valeria V. Kleandrova, M. Natália D. S. Cordeiro, Alejandro Speck-Planche

“…<b>Methods</b>: To develop the PTML-MLP model, chemical and biological data associated with antibacterial activity against <i>S. aureus</i> strains were retrieved from the ChEMBL database. …”
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Prospects for Legal Regulation of Quantum Communication by A. Minbaleev, S. Zenin, K. Evsikov

“…The authors note that their predictions about the cryptographic strength of encryption algorithms are based solely on modern knowledge about the capabilities of quantum computing and do not take into account its hidden potential, for example, in terms of cryptanalysis information systems based on a machine learning model generated by a quantum computer. Currently, the only data protection system that is not subject to quantum threats is the technology of quantum key distribution. …”
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A dynamic model of interactions of Ca2+, calmodulin, and catalytic subunits of Ca2+/calmodulin-dependent protein kinase II. by Shirley Pepke, Tamara Kinzer-Ursem, Stefan Mihalas, Mary B Kennedy

“…We constrained parameters of the model from data in the literature, or from our own measurements, and then predicted time courses of activation and autophosphorylation of CaMKII under a variety of conditions. …”
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Linking Neurocardiovascular Responses in the Active Stand Test to Adverse Outcomes: Insights from the Irish Longitudinal Study on Ageing (TILDA) by Feng Xue, Roman Romero-Ortuno

“…This study underscores the importance of retaining raw data for certain physiological assessments and provides a foundation for future work in developing machine-learning models for early health outcome detection.…”
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