An enhanced framework for knowledge graph embedding based on negative sample analogical reasoning by Huimin Li, Yuhu Tao, Dan Chen, Yi Tang, Jianxiao Wang, Lulu Xue

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SELF-MANAGEMENT SKILLS AND WOMEN IN PSTO; STRATEGY TO AMELIORATE 21ST CENTURY SKILLS UPGRADE CHALLENGES by Ijeoma Madonna Onwusuru, Mohammed Adamu Auta, Nnaemeka Martin Agbo

“…SPSS 0.9 was used in analyzing the data. The research question was answered using mean and standard deviation while t-test analysis was employed to test the hypothesis at a 0.05 level of significance. …”
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Relevant approaches to modernization of academic and material and technical process support of academic process in the field of knowledge “Health care” in terms of adapting to inte... by T. O. Pertseva, I. S. Shponka, I. V. Tverdokhlib, O. Yu. Pototskaya

“…To adapt the medical education system to such features, it is necessary: to provide students with high-quality illustrated textbooks and meaningful digital data bases for each specialized subject; to actively use images (audio, video files) from these sources during the analysis of the material and all types of control (including test ones); to establish cooperation between the fundamental and clinical departments in the process of creating test tasks, as well as the exchange of digital materials for practical classes. …”
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Preparing pre-service teachers for Generation Alpha: A social innovation perspective by Shamala A. Naidoo, Nazreen Dasoo

“…The raw data were analysed through content analysis. Results: The key findings of this study indicate that fourth-year BEd students believe that they are not adequately prepared to teach Generation Alpha learners within the context of social innovation. …”
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ARK: Aggregation of Reads by K-Means for Estimation of Bacterial Community Composition. by David Koslicki, Saikat Chatterjee, Damon Shahrivar, Alan W Walker, Suzanna C Francis, Louise J Fraser, Mikko Vehkaperä, Yueheng Lan, Jukka Corander

“…<h4>Motivation</h4>Estimation of bacterial community composition from high-throughput sequenced 16S rRNA gene amplicons is a key task in microbial ecology. Since the sequence data from each sample typically consist of a large number of reads and are adversely impacted by different levels of biological and technical noise, accurate analysis of such large datasets is challenging.…”
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Professional identity and its relationships with AI readiness and interprofessional collaboration. by Wafa'a Ta'an, Sadeq Damrah, Mohammed M Al-Hammouri, Brett Williams

“…The Medical Artificial Intelligence Readiness Scale and the Readiness for Interprofessional Learning Scale were used in data collection. Data analysis included descriptive, correlation, and comparative analyses.…”
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Predicting occupational musculoskeletal disorders in South Korean male office workers using a robust and sparse twin support vector machine by Haewon Byeon

“…A cross-sectional survey was conducted among male office workers in South Korea to assess the prevalence of MSDs and identify associated risk factors. Data on ergonomic and psychosocial factors were collected and analyzed. …”
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Soil organic carbon and its influencing factors in Nepalese forest ecosystems by Gandhiv Kafle

“…The collected data were synthesized to identify patterns and key factors influencing SOC stocks in Nepalese forests. …”
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Intelligent fibers and textiles for wearable biosensors by Wanlin Fu, Buyun Yu, Dongxiao Ji, Zhou Zhou, Xingyu Li, Rui Wang, Weibing Lu, Yueming Sun, Yunqian Dai

“…Additionally, key micro–nano technologies that have emerged in this domain are highlighted such as built‐in power supplies, wireless data transmission, precise data analysis driven by artificial intelligence, and machine learning. …”
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Development and Validation of Digital Concept Maps Package for Online Economics Instruction in Senior Secondary Schools by Tochukwu C Chinyelugo, Uche L Igbokwe, Ifeyinwa I Nji, Njideka D Eneogu, John Agah, Amos Nnaemeka Amedu

“…The experts also validated the developed DCMP using a Validation Rating Scale (VRS). The data analysis was done using Mean, Standard Deviation and ANCOVA. …”
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Building Trustworthy Multimodal AI: A Review of Fairness, Transparency, and Ethics in Vision-Language Tasks by Mohammad Saleh, Azadeh Tabatabaei

“…Background: Multimodal models, particularly vision-language models, enhance artificial intelligence (AI) capabilities by integrating visual and textual data, mimicking human learning processes. Despite significant advancements, the trustworthiness of these models remains a crucial concern, particularly as AI systems increasingly confront issues regarding fairness, transparency, and ethics. …”
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A Review of Digital Twinning Applications for Floating Offshore Wind Turbines: Insights, Innovations, and Implementation by Ibrahim Engin Taze, Md Armanul Hoda, Irene Miquelez, Payton Maddaloni, Saeed Eftekhar Azam

“…In this study, the digital twin (DT) is defined as a dynamic virtual model that accurately mirrors a physical system throughout its lifecycle, continuously updated with real-time data and use simulations, machine learning, and analytics to support informed decision-making. …”
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PEOPLE’S PERCEPTION ON THE ROLE OF THE NIGERIA’S NATIONAL ASSEMBLY IN THE IMPELEMENTATION OF SUSTAINABLE DEVELOPMENT GOALS, 2015-2023 by AMINU MUSA, MASANAWA ABDULSAMAD MAIWADA, RABIU ISHAQ, SAHABI M. JABO

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Digital Transition as a Driver for Sustainable Tailor-Made Farm Management: An Up-to-Date Overview on Precision Livestock Farming by Caterina Losacco, Gianluca Pugliese, Lucrezia Forte, Vincenzo Tufarelli, Aristide Maggiolino, Pasquale De Palo

“…Looking to the future, the collection, processing, and analysis of data with advanced statistic methods provide valuable information useful to design predictive models and foster the insight on animal welfare, environmental sustainability, farming productivity, and profitability. …”
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Assessing the capture of sociodemographic information in electronic medical records to inform clinical decision making. by Rawan Abulibdeh, Karen Tu, Debra A Butt, Anthony Train, Noah Crampton, Ervin Sejdić

“…The association between the completeness rates of the sociodemographic data and the various clinics, electronic medical record vendors, and physician characteristics was analyzed. …”
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Effectiveness of Responsibility Training Based on Choice Theory on School Belonging and Quality of Teacher-Student Relationship in Female Students by Mohammad Geravandnia, Esmail Sadipour, Hasan Asadzadeh, Soghra Ebrahimi Ghavam

“…The collected data was analyzed using SPSS version 26 software and multivariate covariance analysis. …”
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Survival impact of adjuvant radiotherapy in early stage low risk elderly male breast cancer patients treated with breast conserving surgery by Chang Xu, Cheng Zeng, Qi Zhu, Yue Wang

“…Additionally, machine learning models, including random forest, support vector machines and causal forest model, were applied for survival prediction and validation. …”
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The Impact of Digital Devices on Children’s Health: A Systematic Literature Review by Valentina Presta, Alessandro Guarnieri, Fabiana Laurenti, Salvatore Mazzei, Maria Luisa Arcari, Prisco Mirandola, Marco Vitale, Michael Yong Hwa Chia, Giancarlo Condello, Giuliana Gobbi

“…Synthesis without meta-analysis (SWiM) guidelines were followed to provide data synthesis. …”
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HIV- and AIDS-associated neurocognitive functioning in Zambia &amp;ndash; a perspective based on differences between the genders by Kabuba N, Menon JA, Franklin Jr DR, Heaton RK, Hestad KA

“…Participants completed NC assessment by means of a comprehensive test battery using normative data from 324 HIV-seronegative (HIV-) controls. The norms corrected for effects of age, education, and gender in the general population, and the test battery measures domains of attention/working memory (learning and delayed recall), executive function, verbal fluency, processing speed, verbal and visual episodic memory, and fine motor skills. …”
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Artificial intelligence in clinical practice: a cross-sectional survey of paediatric surgery residents’ perspectives by Marco Del Riccio, Francesca Gigola, Tommaso Amato, Alessandro Raffaele, Antonino Morabito, Riccardo Coletta

“…We examined residents’ acceptance of AI before and after comparing their results to ChatGPT’s results using the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) model. Data analysis was performed using Jamovi V.2.4.12.0.Results 30 residents participated. …”
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