Augmented reality in patient education and health literacy: a scoping review protocol by Karthik Adapa, Lukasz Mazur, Jennifer Walker, Saumya Jain, Richa Kanwar, Tanzila Zaman, Trusha Taneja

“…Augmented reality (AR) provides powerful, contextual and situated learning experiences and supplements the real world with virtual objects. AR could potentially be an effective learning methodology for the patients, thus, warranting a comprehensive overview of the current state of AR in patient education and health literacy.Methods The proposed scoping review will be based on the framework developed by Arksey and O’Malley, including the refinements suggested by Levac et al. …”
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Cryoballoon ablation for atrial fibrillation in South Africa: One-year outcome from the Cryo Global Registry by A Stanley, K A van Bragt, V Obidigbo, B Vezi

“…Objectives. To evaluate real-world usage, safety and effectiveness of CBA in SA. …”
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A novel adaptive FOCV algorithm with robust IMRAC control for sustainable and high-efficiency MPPT in standalone PV systems: experimental validation and performance assessment by Hamid Belghiti, Khalid Kandoussi, Ambe Harrison, Fatima Zahra Moustaine, Rabie El Otmani, El Mostafa Sadek, Mohit Bajaj, Shir Ahmad Dost Mohammadi

“…Validation of the proposed system was carried out using Processor-in-the-Loop (PIL) testing on an Arduino Due microcontroller, showcasing real-world applicability. Comparative analysis with state-of-the-art MPPT controllers, including P&O-PI, InC-SMC, FLC, and VS P&O Backstepping, demonstrates superior tracking efficiency exceeding 99.49% under EN 50,530 standard test conditions. …”
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Natural language processing to identify suicidal ideation and anhedonia in major depressive disorder by L. Alexander Vance, Leslie Way, Deepali Kulkarni, Emily O. C. Palmer, Abhijit Ghosh, Melissa Unruh, Kelly M. Y. Chan, Amey Girdhari, Joydeep Sarkar

“…Methods EHR-derived, de-identified data were used from the NeuroBlu Database (version 23R1), a longitudinal behavioral health real-world database. Mental health clinicians annotated instances of anhedonia and suicidal symptoms in clinical notes creating a ground truth. …”
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A Binocular Vision-Assisted Method for the Accurate Positioning and Landing of Quadrotor UAVs by Jie Yang, Kunling He, Jie Zhang, Jiacheng Li, Qian Chen, Xiaohui Wei, Hanlin Sheng

“…Additionally, with a consideration of the complexities of real-world flight environments, a mobile tracking and landing control strategy based on airspace division is proposed, significantly enhancing the success rate and safety of UAV mobile landings. …”
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Wearable microfluidic biosensors with haptic feedback for continuous monitoring of hydration biomarkers in workers by Julia C. Spinelli, Brandon J. Suleski, Donald E. Wright, Joseph L. Grow, Gabriel R. Fagans, Maura J. Buckley, Da Som Yang, Kaitao Yang, Steven M. Beil, Jessica C. Wallace, Thomas S. DiZoglio, Jeffrey B. Model, Shirley Love, David E. Macintosh, Alan P. Scarth, Matthew T. Marrapode, Corinna Serviente, Raudel Avila, Barrak K. Alahmad, Michael A. Busa, John A. Wright, Weihua Li, Douglas J. Casa, John A. Rogers, Stephen P. Lee, Roozbeh Ghaffari, Alexander J. Aranyosi

“…Field studies conducted in physically demanding activities demonstrate the key capabilities of this platform to inform hydration interventions in highly challenging real-world settings.…”
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Nanotechnology and LSTM machine learning algorithms in advanced fuel spray dynamics in CI engines with different bowl geometries by Harish Venu, Manzoore Elahi M. Soudagar, Tiong Sieh Kiong, N. M. Razali, Hua-Rong Wei, Armin Rajabi, V. Dhana Raju, T. M. Yunus Khan, Naif Almakayeel, Erdem Cuce, Huseyin Seker

“…The simulation outcomes, derived from Diesel-RK, were subsequently compared with empirical data obtained from real-world experiments. These experiments were systematically carried out under identical operating conditions, employing different piston bowl geometries.…”
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Barriers and enablers to implementing clinical practice guidelines in primary care: an overview of systematic reviews by Tao Wang, Xian-Liang Liu, Jing-Yu (Benjamin) Tan, Isabella Zhao

“…The most commonly reported barriers within the above-mentioned categories were suboptimal healthcare networks and interprofessional communication pathways, time constraints, poor applicability of CPGs in real-world practice, lack of knowledge and skills, poor motivations and adherence, and inadequate reinforcement (eg, remuneration). …”
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Exploring drug utilization patterns, healthcare resource utilization, and epidemiology of rheumatoid arthritis in Colombia: a retrospective claims database study by Daniel G. Fernández-Ávila, Monica Betancur, Amira Kronfly, Edwin Jáuregui

“…This retrospective descriptive study used real-world data obtainedfrom a national claim database, SISPRO (Sistema de Información para la Protección Social). …”
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Deep learning model based prediction of vehicle CO2 emissions with eXplainable AI integration for sustainable environment by Gazi Mohammad Imdadul Alam, Sharia Arfin Tanim, Sumit Kanti Sarker, Yutaka Watanobe, Rashedul Islam, M. F. Mridha, Kamruddin Nur

“…Additionally, the analysis suggests areas for further research, such as increasing the dataset, integrating additional pollutants, improving interpretability, and investigating real-world applications. Overall, this study contributes to the design of effective strategies for reducing vehicle CO2 emissions and promoting environmental sustainability.…”
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Analysis of oral cancer carcinogens in repeatedly heated cooking oils by Vidhant Krishna Nambiar, Vidya Mudliar, Inosi Salababa

“…Future research should evaluate the carcinogenic potential of cooking oils in real-world settings, such as fast-food establishments. …”
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A Secure and Robust Machine Learning Model for Intrusion Detection in Internet of Vehicles by Pradeep Kumar Tiwari, Shiv Prakash, Animesh Tripathi, Tiansheng Yang, Rajkumar Singh Rathore, Manish Aggarwal, Narendra Kumar Shukla

“…The proposed fine tree-based model can be validated by conducting extensive experiments with benchmark real-world datasets which can simulate emerging IoV scenarios. …”
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A blind navigation guide model for obstacle avoidance using distance vision estimation based YOLO-V8n by EBERE CHIDI, Edward Anoliefo, Collins Udanor, Asogwa Tochukwu Chijindu, Lois Onyejere Nwobodo

“…Upon selection of the best model, it was further validated through comparison with other state-of-the art algorithms before deployment for obstacle avoidance in an indoor environment, having satisfied the condition of reliability. Real world testing of the model was performed at four different indoor sites, and the results showed that while the model was able to correctly classify objects, it could also measure their distance accurately, thereby making it suitable for deployment as a blind vision guide navigation system.  …”
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Long-term trends in the incidence of male breast cancer and nomogram for predicting survival in male breast cancer patients: a population-based epidemiologic study by Aimin Huang, Daning Li, Zhe Fan, Jingfang Chen, Weidong Zhang, Wentao Wu

“…Our competing risk model, compared to the Cox model, more accurately reflects real-world conditions. Additionally, we have developed a competing risk nomogram to assist in identifying high-risk individuals and guiding clinical decision-making.…”
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A Deep Learning for Optimization and Visualization of Expressway Toll Lane Management by Pattarapon Klaykul, Wilaiporn Lee, Kanabadee Srisomboon, Luepol Pipanmekaporn, Akara Prayote

“…A multi-objective optimization function is applied to balance key objectives such as minimizing queue length, reducing queue time, lowering operational costs, and optimizing ETC utilization. Simulations with real-world data from high-traffic toll plazas demonstrate the framework’s effectiveness, reducing queue lengths by up to 95.03% during peak hours, decreasing operational costs by 28.72%, and improving overall toll plaza performance. …”
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Automated process assessment of primary healthcare for hyperlipidemia: preliminary findings and implications form Anhui, China by Ningjing Yang, Yuning Wang, Ying Li, Dongying Xiao, Ruirui Cui, Nana Li, Rong Liu, Jing Chai, Xingrong Shen, Debin Wang

“…Conclusions The measures identified are not only feasible from real-world PHC records but also give some useful metrics about how well current HL-management is going and what future actions are needed.…”
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Composite cardiovascular risk factor control in US adults with diabetes and relation to social determinants of health: The All of Us research program by Frances Golden, Johnathan Tran, Nathan D. Wong

“…This study aims to identify disparities in cardiovascular risk factor control based on most recent recommendations and relationships to social determinants of health in a large-scale real-world cohort of US adults. Methods: We analyzed data from 88,416 participants with T2DM in the NIH Precision Medicine Initiative All of Us Research Program 2018–2022. …”
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Accounting for microorganisms yields stricter water quality criteria and elevated ecological risks of antibiotics: A case study of sulfonamides in the Yangtze River Delta by Xinyang Zhang, Xiao Yun, Ye Huang, Guofeng Shen, Nan Lin

“…The study concludes that incorporating microbial toxicity data results in more protective WQCs and underscores the need for further research to develop WQCs that safeguard sensitive organisms and better reflect real-world exposure scenarios, e.g., the mixture exposure.…”
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Empowering biomedical learners to navigate FDA regulatory processes and entrepreneurship with a novel interdisciplinary training approach by Philip A. Cola, Philip A. Cola, Tawna L. Mangosh

“…Focused on preparing biomedical professionals to navigate FDA regulatory processes and innovative entrepreneurship endeavors, the curriculum is built upon five core principles: integrating multiple disciplines, ensuring real world applicability, developing a systems thinking approach, incorporating ethical considerations, and fostering a collaborative and experiential learning environment. …”
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Patterns of Comorbidity and Multimorbidity Among Patients With Multiple Sclerosis in a Large US Commercially Insured and Medicare Advantage Population by Dingwei Dai, Ajay Sharma, Amy L. Phillips, Carroline Lobo

“…**Background:** Comorbidities are common in patients with multiple sclerosis (MS), thus increasing the complexity of disease management and economic burden and worsening their prognosis and quality of life. Real-world evidence comparing comorbidities and multimorbidity patterns of commercially insured vs Medicare enrollees with MS is lacking. …”
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