Patient-reported outcome measures to assess mental and physical health status, functionality, and quality of life in patients with major depression or schizophrenia by Luis San, Belen Arranz, Carlota Romans, Berta García, Marta Coromina, Sonia Ortiz, Miriam Vilaplana, Víctor Soto, Ruth Villaescusa, Joan Alvaros

“…Conclusions PROMs can be used in real-world conditions to assess severity of disease, quality of life, and disability in major depression and schizophrenia. …”
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Treatment preferences of patients with muscle invasive bladder cancer: A discrete choice experiment by Liam Mannion, Verity Watson, Vinod Mullassery, Rajesh Nair, Thomas Charlton, Margaret Northover, Deborah Enting, Mieke Van Hemelrijck, Muhammad Shamim Khan, Ramesh Thurairaja, Suzanne Amery, Kathryn Chatterton, Kate Smith, Simon Hughes

“…Our study consisted of a discrete choice experiment (DCE): a type of questionnaire used to elicit preferences in the absence of real‐world choice. Methods The DCE had five attributives, each with three levels. …”
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Considerations for adapting digital competencies and training approaches to the public health workforce: an interpretive description of practitioners’ perspectives in Canada by Ihoghosa Iyamu, Swathi Ramachandran, Hsiu-Ju Chang, Andre Kushniruk, Francisco Ibáñez-Carrasco, Catherine Worthington, Hugh Davies, Geoffrey McKee, Adalsteinn Brown, Mark Gilbert

“…Findings demonstrated roles for specialized digital programs as resources for learning within health systems and emphasized hands-on real-world training approaches. Conclusion We need integrated, systems-focused approaches to digital competencies cutting across the current public health curriculum, while creating space for specialized digital public health competencies and roles. …”
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Cloud-edge hybrid deep learning framework for scalable IoT resource optimization by Umesh Kumar Lilhore, Sarita Simaiya, Yogesh Kumar Sharma, Anjani Kumar Rai, S. M. Padmaja, Khan Vajid Nabilal, Vimal Kumar, Roobaea Alroobaea, Hamed Alsufyani

“…The use of Graph Neural Networks (GNNs) improves the accuracy of resource representation, while reinforcement learning-based scheduling allows for seamless adaptation to changing workloads. Simulations using real-world IoT data on the iFogSim platform showed significant improvements: task scheduling time was reduced by 21%, operational costs by 17%, and energy consumption by 22%. …”
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The epidemiology and unmet need of migraine in five european countries: results from the national health and wellness survey by Gianluca Coppola, Joshua D. Brown, Amanda R. Mercadante, Sheila Drakeley, Nikoletta Sternbach, Aaron Jenkins, Karin Hygge Blakeman, Astrid Gendolla

“…Understanding the prevalence of migraine and unmet needs is crucial for improving diagnosis and treatment across Europe (EU) countries; however, real-world studies are limited. Methods This retrospective cross-sectional survey utilized weighted patient-reported data from the 2020 National Health and Wellness Survey (NHWS) in five EU (5EU) countries (France, Germany, United Kingdom [UK], Italy, and Spain). …”
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Comprehensive approach to predictive analysis and anomaly detection for road crash fatalities by Chopparapu Gowthami, S. Kavitha

“…The root mean squared error statistic is used to analyze these models’ performance and applicability in real-world scenarios. They provide different viewpoints on the prediction of mortality from traffic accidents. …”
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Adverse drug events (ADEs) risk signal mining related to eculizumab based on the FARES database by Xi-Feng Wang, Lu-Ri Bao, Ta-La Hu, Rui-Feng Xu, Wu-Niri Gao, Jing-Yuan Wang, Jian-Rong Zhao, Zhen-Li Fu, Shu-Fang Wang, Yan Meng

“…The current study was conducted to assess real-world adverse events (AEs) associated with eculizumab through data mining of the FDA Adverse Event Reporting System (FAERS).MethodsDisproportionality analyses, including Reporting Ratio Ratio (ROR), Proportional Reporting Ratio (PRR), Bayesian Confidence Propagation Neural Network (BCPNN), and Multi-Item Gamma Poisson Shrinker (MGPS) algorithms were used to quantify the signals of eculizumab-associated AEs.ResultsA total of 46,316 eculizumab-related ADEs reports were identified by analyzing 19,418,776 reports in the U.S. …”
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Clinical efficacy and safety of first‐line nilotinib or imatinib therapy in patients with chronic myeloid leukemia—Nationwide real life data by Petra Belohlavkova, Daniela Zackova, Hana Klamova, Edgar Faber, Michal Karas, Lukas Stejskal, Eduard Cmunt, Olga Cerna, Ivana Jeziskova, Katerina Machova Polakova, Pavel Zak, Tereza Jurkova, Marika Chrapava, Jiri Mayer

“…Abstract Background To evaluate the outcomes of first‐line imatinib versus nilotinib treatment for chronic myeloid leukemia in the chronic phase (CML‐CP) in real‐world clinical practice. Methods A propensity score analysis was performed to eliminate imbalances between the treatment groups. …”
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INDUSTRIAL POLICY IN ASIAN NEWLY INDUSTRIALIZED COUNTRIES: CONTROVERSIES, REVIEW AND LESSONS by Dejana Gajinov

“…Over the last 10 to 15 years, there has been a revision both at the academic level and in the real world that has made industrial policy more acceptable, and thus the debate about it has become less ideologically colored and more pragmatic and nuanced. …”
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Economic and clinical burden associated with respiratory syncytial virus and impact of universal immunization with nirsevimab in Italy by Andrea Marcellusi, Chiara Bini, Barbara Muzii, Samira Soudani, Alexia Kieffer, Matthieu Beuvelet, Elena Bozzola, Fabio Midulla, Eugenio Baraldi, Paolo Bonanni, Sara Boccalini, Luigi Orfeo

“…Costs associated with each event were obtained using the available literature and through real-world data analysis of National Hospital Discharge Records. …”
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Artificial neural network systems to predict the response to sintilimab in squamous-cell non-small-cell lung cancer based on data of ORIENT-3 study by Tongji Xie, Guangyu Fan, Le Tang, Puyuan Xing, Yuankai Shi

“…The mechanism exploration on the bulk and the spatial level were performed in patients from the ORIENT-3 study and the real world, respectively. Findings sqNSCLC patients with different responses to sintilimab showed each unique transcriptomic spectrum. …”
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Vehicle Turn Pattern Counting and Short Term Forecasting Using Deep Learning for Urban Traffic Management System by Sundarakrishnan Narayanan, Sohan Varier, Tarun Bhupathi, Manaswini Simhadri Kavali, Mohana, P. Ramakanth Kumar, K. Sreelakshmi

“…These results highlight the effectiveness of our custom designed framework in real-world scenarios as a reliable model for applications needing high-precision detection and predictive analytics.…”
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Royal Jelly and 10-Hydroxy-2-Decenoic acid activate autophagy through mTOR/ULK1 pathway to improve cognitive function in diabetic mice by Lu Xiu, Rongguang Ge, Siyu Lu, Linwei Li, Wenqi Huang, Guojun Du, Zengli Zhang, Jie Zhang, Zhongxiao Wan, Jie Chang

“…In conclusion, 10-HDA can regulate mTOR/ULK1 pathway to activate autophagy to alleviate hippocampal damage, thereby improving cognitive function in mice with diabetes, which may provide a new option for real-world cognitive impairment management.…”
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A Data-Driven Deep Learning Framework for Prediction of Traffic Crashes at Road Intersections by Mengxiang Wang, Wang-Chien Lee, Na Liu, Qiang Fu, Fujun Wan, Ge Yu

“…We evaluate the proposed <i>RoadInTCP</i> model via extensive experiments on a real-world New York City traffic dataset. The experimental results show that the proposed <i>RoadInTCP</i> robustly outperforms existing methods.…”
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Generative spatial artificial intelligence for sustainable smart cities: A pioneering large flow model for urban digital twin by Jeffrey Huang, Simon Elias Bibri, Paul Keel

“…Moreover, the lack of a robust theoretical foundation and real-world operationalization of these tools hampers comprehensive modeling and practical adoption. …”
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Design and Evaluation of a Voice-Controlled Elevator System to Improve the Safety and Accessibility by Ander Gonzalez Docasal, Jon Alonso, Jon Olaizola, Mikel Mendicute, Maria Patricia Franco, Arantza Del Pozo, Daniel Aguinaga, Aitor Alvarez, Eduardo Lleida

“…Finally, two subjective evaluations on clean and noisy conditions were conducted simulating a real world scenario. The results, yielding 84.7 and 77.2 points, respectively, in a System Usability Scale questionnaire, affirm the reliability of the presented prototype for industrial deployment.…”
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A new trigonometric-inspired probability distribution: A simulation study and applications in reliability and hydrology by Xiang Tu, Jiangwei Kong, Qing Fu, Sheng Chang, Kunfeng Zhang, Tmader Alballa, Haifa Alqahtani, Hamiden Abd El-Wahed Khalifa

“…The importance of statistical distributions in accurately representing real-world scenarios and aiding in educated decision-making is well recognized. …”
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The Use of AI in Mental Health Services to Support Decision-Making: Scoping Review by Hassan Auf, Petra Svedberg, Jens Nygren, Monika Nair, Lina E Lundgren

“…The empirical evidence shows that the evaluation of the use of AI systems in mental health is still in its early stages, with need for more empirically focused research on real-world use. The key aspects requiring further investigation include the evaluation of the use of AI-supported decision-making from human-AI interaction and human-computer interaction perspectives, longitudinal implementation studies of AI systems in mental health to assess the use, and the integration of shared decision-making in AI systems.…”
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A Deep Learning Framework for the Classification of Brazilian Coins by Debabrata Swain, Viral Rupapara, Amro Nour, Santosh Satapathy, Biswaranjan Acharya, Shakti Mishra, Ali Bostani

“…The dataset includes high-resolution images captured under diverse lighting and environmental conditions, ensuring robust model performance in real-world scenarios. In conclusion, our proposed deep learning framework offers a powerful and efficient solution for classifying Brazilian coins. …”
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Development and usability testing of an online platform for provider training and implementation of cognitive-behavioral therapy guided self-help for eating disorders by Laura D’Adamo, Agatha A. Laboe, Jake Goldberg, Carli P. Howe, Molly Fennig Steinhoff, Bianca DePietro, Marie-Laure Firebaugh, Zafra Cooper, Denise E. Wilfley, Ellen E. Fitzsimmons-Craft

“…Results Interview feedback converged on two themes for providers (applicability of program for real-world use, platform structure and function) and two themes for patients (barriers and facilitators to engagement, perceived treatment effects). …”
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