Optimizing fully-efficient two-stage models for genomic selection using open-source software by Javier Fernández-González, Julio Isidro y Sánchez

“…We also provide a comprehensive theoretical background and open-source R code, enhancing understanding and facilitating broader adoption of fully-efficient two-stage models in GS. …”
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ADVANCING UNDERSTANDING OF SERVICE-LEARNING: A CASE STUDY OF A UNIVERSITY IN MALAYSIA by Fong Wei Diong, Phaik Kin Cheah, Poh Chua Siah

“…It was found that students perceived service-learning as an effective experiential learning tool, combining academic learning with community service, though its adoption is not extensive across the campus, highlighting a need for broader implementation in the curriculum. …”
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Cost-Minimization Analysis for Subcutaneous Daratumumab in the Treatment of Newly Diagnosed Multiple Myeloma in Three Gulf Countries by Anas Hamad, Shereen Elazzazy, Ruba Y. Taha, Hani Osman, Sana Alblooshi, Islam Elkonaissi, Mustaqeem A. Siddiqui, Khalil Al-Farsi, Mohammed Al Lamki, Sali Emara, Gihan H. Elsisi

“…**Objective:** To assess the financial effects of the adoption of subcutaneous daratumumab (dara-SC) rather than intravenous daratumumab (dara-IV) for the treatment of NDMM in three Gulf countries (Qatar, Oman and the United Arab Emirates; UAE), a cost-minimization model was constructed. …”
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TCAD analysis of the high-temperature reverse-bias stress on AlGaN/GaN HEMTs by Franco Ercolano, Luigi Balestra, Sebastian Krause, Stefano Leone, Isabel Streicher, Patrik Waltereit, Michael Dammann, Susanna Reggiani

“…The long-term reliability of AlGaN/GaN high electron mobility transistors (HEMTs) is a crucial factor in their widespread adoption for high-power and high-frequency applications. …”
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Global trends in importance of 24-hour movement behaviors to pediatric health: implications for South Korea by Eun-Young Lee, Reyana Jayawardena, Seiyeong Park, Justin Y Jeon, Yeon-Soo Kim, Mark S. Tremblay

“…The growing recognition of a holistic approach to the 24-hour movement behavior paradigm in pediatric health promotion has led to the establishment and adoption of 24-hour movement guidelines in different countries and by the World Health Organization (WHO). …”
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The large-scale whole-genome sequencing era expedited medical discovery and clinical translation by Qingxin Yang, Shuhan Duan, Yuguo Huang, Chao Liu, Mengge Wang, Guanglin He

“…Coupled with the widespread adoption of electronic health records, wearable devices, and AI, the translation of these findings into clinical practice has been established for disease prediction, surveillance, and treatment across the lifespan. …”
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Using AI chatbots (e.g., CHATGPT) in seeking health-related information online: The case of a common ailment by Pouyan Esmaeilzadeh, Mahed Maddah, Tala Mirzaei

“…The practical contributions of this study can be useful for developers and designers of conversational AI, as they can focus on improving the design features of AI chatbots to meet users’ expectations, preferences, and satisfaction and promote their adoption and continued use.…”
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Embosphere Size Selection and Dilution Rate in Preoperative Tumor Embolization of the External Carotid Artery System Using a Small-diameter Catheter by Takao HASHIMOTO, Yusuke ARAI, Hirofumi OKADA, Muneaki KIKUNO, Hiroki SAKAMOTO, Kyosuke MATSUNAGA, Michihiro KOHNO

“…The widespread adoption of preoperative embolization in highly vascularized brain tumors often involves the frequent use of Embosphere (Merit Medical Systems, South Jordan, Utah, USA). …”
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Empirical analysis of control models for different converter topologies from a statistical perspective by Hole Shreyas Rajendra

“…Even though, there are various control models available, these characteristics often become a barrier to their straightforward adoption for applications that are performance critical. …”
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Fine-tuning GBS data with comparison of reference and mock genome approaches for advancing genomic selection in less studied farmed species by Daniel Fischer, Miika Tapio, Oliver Bitz, Terhi Iso-Touru, Antti Kause, Ilma Tapio

“…Conclusions The proposed cost-effective ddRAD strategy, coupled with an efficient bioinformatics workflow, enables broad adoption of ddRAD GBS across diverse farmed species. …”
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Climate-smart livestock nutrition in semi-arid Southern African agricultural systems by Felix Fushai, Teedzai Chitura, Oyegunle Emmanuel Oke

“…The analysis supports the adoption of climate-smart livestock nutrition when conceptualized as precision feeding combined with dietary strategies that enhance thermal resilience in livestock, and the adaptation of production systems to the decline in availability of conventional feedstuffs by incorporating climate-smart alternatives. …”
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Modified Mosquito Programs’ Surveillance Needs and An Image-Based Identification Tool to Address Them by Jewell Brey, Bala Murali Manoghar Sai Sudhakar, Kiley Gersch, Tristan Ford, Margaret Glancey, Jennifer West, Sanket Padmanabhan, Angela F. Harris, Autumn Goodwin

“…Effective mosquito surveillance and control relies on rapid and accurate identification of mosquito vectors and confounding sympatric species. As adoption of modified mosquito (MM) control techniques has increased, the value of monitoring the success of interventions has gained recognition and has pushed the field away from traditional ‘spray and pray’ approaches. …”
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Effects of Agro-Based Industries on Economic Development of Kanungu District: A Case Study of Rugyeyo Sub-County. by Tukamushaba, Enos

“…The recommends that there were; The study recommends that the government should encourage and promote sustainable agricultural practices to minimize the environmental impact of agro-based industries. This includes the adoption of organic farming methods, efficient water usage, and soil conservation techniques. …”
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Factors Associated with Male Partner Support During Pregnancy and Child Birth in Kabale District. by Niwarinda, Denesi

“…Conclusion: The study recommends building the capacity of health workers on male support, prioritizing the adoption of a resource package for engaging men in pregnancy and childbirth and its implementation, awareness through outreaches and media, incentives at each facility for male partners support and community engagement on male support in pregnancy and childbirth.…”
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The Climate Change Impact on Agriculture Productivity in Karama Sector, Nyagatare District, Rwanda. by Odile, Twagiramariya

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Social Media Marketing for Small and Medium Enterprise Performance in Uganda: A Structural Equation Model by .Kikawa, Cliff R, Kiconco, Charity, Moses, Agaba, Ntirampeba, Dimas, Ssematimba, Amos, Kalema, Billy M.

“…The results indicate that compatibility and perceived ease of use have a positive impact on SMEs to adopt SMM, while perceived usefulness has a negative impact on SMEs to adopt SMM. …”
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Patient-Accessible Electronic Health Records and Information Practices in Mental Health Care Contexts: Scoping Review by Timothy Kariotis, Megan Prictor, Kathleen Gray, Shanton Chang

“…MethodsA scoping review was considered the most appropriate method due to the relatively recent adoption of PAEHRs in mental health care contexts and the heterogeneous nature of the evidence base. …”
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Mapping the future: The current landscape and future directions of evidence-based practice in Saudi radiology departments. by Walaa Alsharif, Faisal Alrehily, Fahad H Alhazmi, Awadia Greeballah, Abdulaziz A Qurashi, Shrooq Aldahery, Adnan Alahmadi, Amirah Alsaedi, Sultan Alshoabi, Khalid M Alshamrani, Awatif M Omer, Raghad Aljuhani

“…Inferential statistics, including non-parametric tests such as the Mann-Whitney U Test and the Kruskal-Wallis Test, were used to assess the influence of demographic factors on perceptions and challenges related to the adoption of evidence-based practice (EBP) in research within Saudi Arabia. …”
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Applying in machine learning and deep learning in finance industry: A case study on repayment prediction by Nguyễn Phát Đạt, Hồ Mai Minh Nhật, Trương Công Vinh, Lê Quang Chấn Phong, Lê Hoành Sử

“…The present inquiry advocates for the adoption of sophisticated computational methodologies, including machine learning and deep learning, to analyze borrowers’ behavioral patterns, demographic profiles, and credit histories, thus facilitating the prognostication of loan repayment likelihood. …”
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Enhancing Health Equity and Patient Engagement in Diabetes Care: Technology-Aided Continuous Glucose Monitoring Pilot Implementation Project by Madhur Thakur, Eric W Maurer, Kim Ngan Tran, Anthony Tholkes, Sripriya Rajamani, Roli Dwivedi

“…With the increasing adoption of technologies in health care delivery, digital tools for continuous glucose monitoring (CGM) are being used to improve disease management and increase patient engagement. …”
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