DATA-DRIVEN DECISION MODELING AND SUSTAINABLE COMPETITIVENESS IN THAI SMES IN WELLNESS AND BEAUTY SECTOR: AN OPERATIONAL RESEARCH FRAMEWORK by Jaruwan Lim, Sumaman Pankham

“…By analysing the behaviour of SMEs in dealing with digital information, patient use of social media platforms, and the implementation of communication technologies, the research investigates how these practices contribute to developing resilience, innovation, and sustained competitiveness in a data-driven market environment. …”
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Learning interventions and training methods in health emergencies: A scoping review. by Heini Utunen, Giselle Balaciano, Elham Arabi, Anna Tokar, Aphaluck Bhatiasevi, Jane Noyes

“…<h4>Conclusion</h4>This is the first scoping review to map the evidence, which serves as a first step in developing urgently needed global guidance to further improve the quality and reach of learning interventions and training methods in this context.…”
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Resilience in the Vaccine Supply Chain: Learning from the COVID-19 Pandemic by Megan Hay, Anika Teichert, Sarah Kilz, Agnes Vosen

“…Twelve stakeholder groups were identified, with purchasers, manufacturers, suppliers, developers, and regulatory agencies being the most significant in emergency vaccine manufacturing situations. …”
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Psychological distress among parents with emigrant offspring: A mixed-methods study from Changunarayan Municipality, Nepal. by Anjani Bhandari, Shishir Paudel, Anisha Chalise

“…Thematic analysis, following Braun and Clarke's six-step framework, was used to identify key qualitative insights.…”
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Challenges and opportunities for precision livestock farming applications in the rabbit production sector by Tomás Norton, María Cambra-López

“…Further research is needed to address the challenges that remain in developing and validating reliable algorithms so that sensors can be used more effectively in diverse rabbit farm conditions.…”
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A probabilistic approach for building disease phenotypes across electronic health records by David Vidmar, Jessica De Freitas, Will Thompson, John M. Pfeifer, Brandon K. Fornwalt, Noah Zimmerman, Riccardo Miotto, Ruijun Chen

“…Abstract Background Identifying the set of patients with a particular disease diagnosis across electronic health records (EHRs), referred to as a phenotype, is an important step in clinical research and applications. However, this task is often challenging, where incomplete data can render definitive classifications impossible. …”
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A novel method for a technology enhanced learning recommender system considering changing user interest based on neural collaborative filtering by Mohammad Mehran Lesan Sedgh, Alimohammad Latif, Sima Emadi

“…The results indicate the potential of integrating sentiment analysis and adaptive learning rates into TEL recommender systems, marking a step forward in developing more responsive and user-centric educational technologies. …”
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DeepDate: A deep fusion model based on whale optimization and artificial neural network for Arabian date classification. by Nour Eldeen Mahmoud Khalifa, Jiaji Wang, Mohamed Hamed N Taha, Yudong Zhang

“…<h4>Purpose</h4>As agricultural technology continues to develop, the scale of planting and production of date fruit is increasing, which brings higher yields. …”
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Two-way coupling between ice flow and channelized subglacial drainage enhances modeled marine-ice-sheet retreat by G. Lu, J. Kingslake

“…This coupling could impact rates of ice mass change but remains poorly understood. We develop a coupled ice–subglacial-hydrology model to investigate the effects of coupling on the long-term evolution of marine-terminating ice sheets. …”
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Optimized Enzymatic Extraction of Phenolic Compounds from <i>Verbascum nigrum</i> L.: A Sustainable Approach for Enhanced Extraction of Bioactive Compounds by Filippo Brienza, Luca Calani, Letizia Bresciani, Pedro Mena, Silvia Rapacioli

“…<i>Verbascum nigrum</i>, commonly known as black mullein, is widely used in traditional medicine for its expectorant, mucolytic, sedative, and diuretic properties. This study aimed to develop and optimize a standardized method for extracting phenolic compounds from <i>V. nigrum</i> using enzymatic pretreatment followed by solvent extraction. …”
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Emerging Trends in Realistic Robotic Simulations: A Comprehensive Systematic Literature Review by Seyed Mohamad Kargar, Borislav Yordanov, Carlo Harvey, Ali Asadipour

“…Integration of ROS as a uniform middleware to deploy achieved outcomes in real practice provides an opportunity to move one step closer to the sim-to-real experiences that enables researchers to test ideas beyond the close laboratory spaces. …”
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Shelter Experiences of the Homeless People: “One Wants To Feel Cared For” by Cengizhan Aynacı, Yusuf Genç

“…Non-governmental organisations and the framework of the step model largely provide social work practices for homelessness in Turkey. …”
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Acute undifferentiated febrile illness in rural Cambodia: a 3-year prospective observational study. by Tara C Mueller, Sovannaroth Siv, Nimol Khim, Saorin Kim, Erna Fleischmann, Frédéric Ariey, Philippe Buchy, Bertrand Guillard, Iveth J González, Eva-Maria Christophel, Rashid Abdur, Frank von Sonnenburg, David Bell, Didier Menard

“…Wide-spread use of malaria rapid diagnostic tests (RDTs) has revealed a large burden of malaria-negative fever cases, for which no clinical management guidelines exist at peripheral level health facilities. As a first step towards developing such guidelines, a 3-year cross-sectional prospective observational study was designed to investigate the causes of acute malaria-negative febrile illness in Cambodia. …”
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Blueprints for Machine Ethics: A Digital Terrarium for Socio-Ethical Artificial Agent Decisionmaking by Nathaniel Kremer-Herman, Ankur Gupta, Eric R. Severson

“…Our explicit goal is to demonstrate the overt benefit of transparent, algorithmic ethical decisionmaking, in which developers, vendors, and users operate with awareness of the forms of ethical reasoning utilized by their technologies. …”
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Barriers to access to care in the implementation of telemedicine in public hospitals in Southern Ethiopia: A phenomenological qualitative study. by Getachew Nigussie Bolado, Bizuayehu Atinafu Ataro, Christian Kebede Gadabo, Tamirat Ersino Kebamo, Worku Mimanu Minuta, Abenezer Duta Wolde

“…The adoption of telemedicine is a crucial component of digital health, but various obstacles have impeded its adoption in developing nations like Ethiopia. Hence, identifying these influencing factors will aid in fostering its implementation in Ethiopia.…”
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Measurement of the amplitude pattern and the frequency characteristic of ISM-band antennas using WiFi routers by А. В. Садченко, O. A. Кушниренко, И. В. Цевух, И. А. Валянский, Ю. С. Чихрай

“…The aim of this work is to develop a simplified procedure for measuring the amplitude RP and frequency characteristics of antennas for the rapid assessment of electromagnetic environment during deployment of wireless networks, when the requirements for measurement accuracy are not critical. …”
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The rheology of the geological medium of interblock seismically active faults in the continental lithosphere: a key to understanding the generation of the strongest earthquakes in... by S. I. Sherman, E. A. Gorbunova

“…In the period when a future earthquake source develops and grows, the physical properties of the host rocks are assumed to change substantially, and both the viscosity and the relative shear strength decreases. …”
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Study of the Long-Term Deformation Characteristics of Municipal Sludge Solidified Soil under the Coupling Action of Dry-Wet Cycles and Initial Static Deviatoric Stress by Aiwu Yang, Shaokun Yang, Guofang Xu, Wei Zhang

“…A self-developed curing agent is used to solidify the municipal sludge taken from Tianjin. …”
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RepD3D: A tool for representative period identification and associated boundary condition extraction by Clayton Cyril Soares, Arne Knies, Christian Winter

“…Defining representative periods is a critical step for numerical modelers seeking to understand regional hydro- and morphodynamics in situations when long-term simulations are not feasible or future boundary conditions are unknown. …”
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National Health-Oriented Hazard Assessment in Iran Based on the First Priority for Action in Sendai Framework for Disaster Risk Reduction 2015–2030 by Hamidreza Khankeh, Yousof Akbari Shahrestanaki, Saiedeh Bahrampouri, Mehdi Beyramijam

“…Understanding disaster risk is the first priority for action based on the Sendai Framework for Disaster Risk Reduction 2015–2030 (SFDRR), and hazard assessment is the first step in the assessment of disaster risks. Therefore, assessing health-oriented hazards is the first measure in disaster risk assessment in the medical universities area in Iran. …”
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