IDMPF: intelligent diabetes mellitus prediction framework using machine learning by Leila Ismail, Huned Materwala

“…These are alarming figures, and therefore, it becomes an emergency to provide an accurate diabetes prediction. …”
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Research progress of laser powder bed fusion of Ti2AlNb-based alloys: Microstructure, defects and properties by Jianfa Liao, Aoqi Fan, Haojie Luo, Yulei Du

“…Ti2AlNb-based intermetallic alloys have emerged as promising candidates for aeroengine components due to their exceptional strength-to-weight ratio and superior high-temperature performance. …”
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AI-based approaches for improving autonomous mobile robot localization in indoor environments: A comprehensive review by Shoude Wang, Nur Syazreen Ahmad

“…Finally, we discuss emerging research directions and ongoing challenges, providing guidance for future investigations and advancements in the domain of indoor AMR.…”
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A Comparison Study of Person Identification Using IR Array Sensors and LiDAR by Kai Liu, Mondher Bouazizi, Zelin Xing, Tomoaki Ohtsuki

“…These findings highlight the importance of modality selection, with thermal imaging emerging as the most reliable. Future work will explore multi-modal integration, advanced preprocessing, and hybrid architectures to enhance model adaptability and address current limitations. …”
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The phosphorus negotiation game (P-Game): first evaluation of a serious game to support science-policy decision making played in more than 20 countries worldwide by Nils Haneklaus, Mary Kaggwa, Jane Misihairabgwi, Sherif Abu El-Magd, Naima Ahmadi, Jamal Ait Brahim, Aloyce Amasi, Andrea Balláné Kovács, Łukasz Bartela, Hajar Bellefqih, Redouane Beniazza, Jaroslav Bernas, Essaid Bilal, Tomislav Bituh, Yelizaveta Chernysh, Viktoriia Chubur, Jelena Ćirić, Claudia Dolezal, Andrea Figulová, Janja Filipi, Gordana Glavan, Tibor Guzsvinecz, László Horváth, Sasho Josimovski, Martin Kiselicki, Maja Lazarus, Maja Kazazić, István Komlósi, Ali Maged, Tebogo Mashifana, Gordana Medunić, Emina Mehić, Felhi Mongi, Kelvin Mtei, Dennis Mwalongo, Jerome Mwimanzi, Jakub Nowak, Oqba Basal, Khaoula Qamouche, Małgorzata Rajfur, Hynek Roubík, Mijalche Santa, Cecília Sik-Lányi, Maike Sippel, Gerald Steiner, Anna Skorek-Osikowska, Anton Slavov, Paweł Świsłowski, Ali Tlili, Kalina Trenevska-Blagoeva, Ivan Tschalakov, Tomáš Vlček, Stanisław Wacławek, Ivan Zlatanović, Matúš Mišík, Hendrik Brink, Tzong-Ru Lee

“…To address this issue, innovative educational approaches like serious gaming and role-playing games have emerged. These methods allow students to actively explore the roles of different stakeholders in environmental decision-making and weigh for instance between sometimes conflicting UN Sustainable Development Goals or other dilemmas. …”
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The modulating effect of circulating carbohydrate antigen 125 on ST2 and long-term recurrent morbidity burden by Elena Revuelta-López, Rafael de la Espriella, Gema Miñana, Enrique Santas, Sandra Villar, Juan Sanchis, Antoni Bayés-Genís, Julio Núñez

“…In heart failure (HF), elevated levels of sST2 are associated with a higher risk of adverse clinical outcomes. Emerging evidence suggests that carbohydrate antigen 125 (CA125) may act as a ligand that modulates the inflammatory response. …”
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An Unusual and Severe Thyrotoxicosis in a Twin Pregnancy: Fortune Favors the Brave by Virginia Maltese, Elisa Gatta, Irene Silvestrini, Valentina Anelli, Francesca Bambini, Caterina Buoso, Maria Cavadini, Massimiliano Ugoccioni, Maura Saullo, Fiorella Marini, Elena Gandossi, Andrea Delbarba, Ilenia Pirola, Carlo Cappelli

“…Both fetuses were delivered via emergency cesarean section at 36 weeks, with no significant congenital abnormalities. …”
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The Wilson's disease - etiology, symptoms in various organs, diagnosis, treatment, prognosis by Patryk Graczyk, Paulina Klaudia Kwaśniewska, Anna Wilewska, Kinga Borowiec, Agnieszka Borowiec, Julia Biernikiewicz, Konstanty Alabrudziński, Milena Biernikiewicz, Bartosz Pomirski, Agata Pomirska

“…However, nonadherence to lifelong therapy remains a major hurdle, emphasizing the need for ongoing patient education. Emerging therapies and personalized medicine offer promise for improving outcomes and minimizing long-term complications, highlighting the need for continued research and treatment refinement. …”
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Spinal Cord Stimulation for Refractory Angina Pectoris: Current Status and Future Perspectives, a Narrative Review by Roberto Gazzeri, Jacopo Mosca, Felice Occhigrossi, Marco Mercieri, Marcelo Galarza, Matteo Luigi Giuseppe Leoni

“…Spinal cord stimulation (SCS) has emerged as a promising therapeutic option for managing RAP, offering significant symptom relief and improved quality of life. …”
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Implementing and Learning from a Summer Research Data Management Training Program for Student Researchers by Kevin B. Read, Sarah Rutley

“…Conclusion Through instruction, practical engagement, and reflection within the context of real-world research, the program supported participants in learning about and practicing RDM, and provided insights for academic librarians who wish to refine or develop training in their local contexts as they continue to navigate emerging expectations from funders and publishers.  …”
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Augmented Reality for extremity hemorrhage training: a usability study by Krishant Tharun, Alberto Drogo, Carmine Tommaso Recchiuto, Serena Ricci, Serena Ricci

“…To handle a massive hemorrhage, it is important to train people without medical background, who might be the first responders in an emergency. Among the possible ways to train lay rescuers, healthcare simulation allows to practice in a safe and controlled environment. …”
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Removal of Humic Substances from Aqueous Solutions Using Carbon Quantum Dots and Activated Carbon Derived by Watermelon Rind by Mohammad Pirbavepour, Bahareh Lorestani, Maryam Kiani Sadr, Mehrdad Cheraghi, Atefeh Chamani, Fatemeh Houshmand

“…Water contaminated with humic substances (HSs) has become an emerging human health threat due to producing disinfection by-products (DBPs) which react with chlorine and result in carcinogenic materials such as THMs. …”
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Mindfulness and consumer behavior: a bibliometric analysis of themes and trends over 20 years by Maria-Angeles Iniesta-Bonillo, Alinne Pompeu-Queiros, Maria Mercedes Capobianco Uriarte, Helena Alves

“…In consumer behavior, this manifests as impulsive or excessive purchasing, which undermines well-being and happiness rather than enhancing them. Mindfulness has emerged as a potential solution to mindless consumption that, fostering change from the inside out, not only benefits personal well-being but also contributes to the broader well-being of society. …”
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Optimal trajectory of the neuroendoscope for third ventricle pavement access by Joana Sousa, Susana Maria Silva, Susana Maria Silva, Hélio Alves, Bruno Carvalho, Bruno Carvalho, José Maria Sousa, Manuel J. Ferreira-Pinto, Manuel J. Ferreira-Pinto, Manuel J. Ferreira-Pinto, Manuel J. Ferreira-Pinto, José Paulo Andrade, José Paulo Andrade

“…By defining a new trajectory and entry point interval, we aim to establish a standardized approach for FreeHand ETV, a vital technique when specialized tools are unavailable, or during emergencies.Methods187 MRIs were analyzed, with 30 having hydrocephalus. …”
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Floods’ Impact on Cities’ Critical Infrastructure: A Case Study on Dubai by Diaa Addeen Abuhani, Raghad Aldamani, Imran Zualkernan, Reem Alali, Himanshu Grover

“…Critical infrastructure is defined as the core health, safety, and security facilities that maintain key social functions at the time of an emergency. With the weather instability driven by the effects of climate change, many normally dry lands are facing an increase in rainfall-induced floods. …”
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The effect of self-compassion versus mindfulness interventions on autonomic responses to stress in generalized anxiety disorders by Xuejun Qi, Yonghui Shen, Xianwei Che, Ying Wang, Xi Luo, Lijun Sun

“…ObjectiveAlthough research on psychological interventions in generalized anxiety disorder (GAD) has provided evidence of their effectiveness regarding self-reported outcomes, few studies have examined their psychophysiological effects. Heart rate is emerging as a potential biomarker of efficacy in anxiety disorders. …”
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A review of deep learning in blink detection by Jianbin Xiong, Weikun Dai, Qi Wang, Xiangjun Dong, Baoyu Ye, Jianxiang Yang

“…In recent years, with the rapid development of deep learning, the application of deep learning techniques for precise blink detection has emerged as a significant area of interest among researchers. …”
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Edaphic factors mediate the response of nitrogen cycling and related enzymatic activities and functional genes to heavy metals: A review by Tracy Opande, Mengru Kong, Di Feng, YuHong Wen, Nathan Okoth, Ali Mohd Yatoo, Fatma Mohamed Ameen Khalil, Ahmed S. Elrys, Lei Meng, Jinbo Zhang

“…Former studies suggested that soil N cycling is chiefly regulated by microbial activity; however, emerging evidence indicates that this regulation is disrupted by heavy metal (HM) contamination, which alters microbial communities and enzyme functions critical to N transformations. …”
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Development of Automated Image Processing for High-Throughput Screening of Potential Anti-Chikungunya Virus Compounds by Pathaphon Wiriwithya, Siwaporn Boonyasuppayakorn, Pattadon Sawetpiyakul, Duangpron Peypala, Gridsada Phanomchoeng

“…This technology can be seamlessly integrated into existing virological research pipelines, offering a scalable and efficient tool to accelerate drug discovery and improve diagnostic workflows for vector-borne and emerging viral diseases. By addressing critical bottlenecks in speed and accuracy, it holds promise for tackling global virology challenges and advancing research into other viral infections.…”
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A Comparative Analysis of Business Machine Learning in Making Effective Financial Decisions Using Structural Equation Model (SEM) by A. V. L. N. Sujith, Naila Iqbal Qureshi, Venkata Harshavardhan Reddy Dornadula, Abinash Rath, Kolla Bhanu Prakash, Sitesh Kumar Singh

“…This study is focused on addressing the application of machine learning in making the effective financial decision making among the companies; the application of ML has emerged as a critical technology which is being applied in the current competitive market, and it has offered more opportunities to the business leaders in leveraging the large volume of data. …”
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