Comparison of Manual, Automatic, and Voice Control in Wheelchair Navigation Simulation in Virtual Environments: Performance Evaluation of User and Motion Sickness by Enrique Antonio Pedroza-Santiago, José Emilio Quiroz-Ibarra, Erik René Bojorges-Valdez, Miguel Ángel Padilla-Castañeda

“…Future work will explore adaptive algorithms to enhance usability and accessibility in real world applications.…”
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ν-point energy correletors with FastEEC: Small-x physics from LHC jets by Ankita Budhraja, Hao Chen, Wouter J. Waalewijn

“…Originally, the computational complexity of evaluating ν-correlators for M particles scaled as 22M, making it impractical for real-world analyses. However, by using recursion, we reduce this to M2M, and through the FastEEC method of dynamically resolving subjets, M is replaced by the number of subjets. …”
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Object Placement Across Robotics, Image Composition, and XR: A Mixed Reality Framework Proposal by Jalal Safari Bazargani, Abolghasem Sadeghi-Niaraki, Soo-Mi Choi

“…Future studies should explore the integration of multiple technologies and the need for extensive real-world validation.…”
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CDR-Detector: a chronic disease risk prediction model combining pre-training with deep reinforcement learning by Shaofu Lin, Shiwei Zhou, Han Jiao, Mengzhen Wang, Haokang Yan, Peng Dou, Jianhui Chen

“…Current studies mainly focused on developing well-designed deep learning models to predict the disease risk based on large-scale and high-quality longitudinal EHR data. However, in real-world scenarios, people’s medical habits and low prevalence of diseases often lead to few-shot and imbalanced longitudinal EHR data. …”
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Need analysis of English for Specific Purposes (ESP) in Psychology: Identifying linguistics demands for academic and professional success by Benny Dele Bintang Ananta, Muhammad Firza Thoriq Sholahuddin, Dede Akmal Khotib, Rafika Rabba Farah

“…The findings emphasize the need for authentic activities and real-world scenarios to develop proficiency in speaking, listening, reading, and writing within the psychology context. …”
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Decode Brain System: A Dynamic Adaptive Convolutional Quorum Voting Approach for Variable-Length EEG Data by Tao Xu, Yun Zhou, Zekai Hou, Wenlan Zhang

“…Electroencephalogram (EEG) recordings of brain activity play a vital role to decode the cognitive process of human beings in learning research and application areas. In the real world, people react to stimuli differently, and the duration of brain activities varies between individuals. …”
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Exploring LLMs Applications in Law: A Literature Review on Current Legal NLP Approaches by Marco Siino, Mariana Falco, Daniele Croce, Paolo Rosso

“…Lastly, it discusses the broader implications of these advancements for real-world legal tasks, offering insights into how LLM-based AI can enhance legal practice while addressing the associated challenges.…”
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Full-space trifunctional metasurface with independent control of amplitude and phase for circularly polarized waves by Li Xi Ming, Zhao Yuan, Lu Ren Pan, Sun Xiao Feng, Yang Zhao, He Hai Dan, Liu Yan Hui, Du Guo Hong

“…However, it remains challenging to achieve independent amplitude and phase control, which seriously hinder the real-world applications. Herein, an innovative strategy of trifunctional metasurface is proposed to independently and simultaneously manipulate the amplitude and phase of circular polarized waves in full space. …”
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Complementarity-Oriented Feature Fusion for Face-Phone Trajectory Matching by Changfeng Cao, Wenchuan Zhang, Hua Yang, Dan Ruan

“…We evaluated our method on a large real-world face-phone trajectory dataset and showed promising results with the accuracy of 97.1% which exceeds the comparable similarity-based methods. …”
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Biocementation beyond the Petri dish, scaling up to 900 L batches and a meter-scale column by Dimitrios Terzis, Camilla Perego, Margherita Cappa, Elisa Pianta, Federica Mauri, Pamela Principi

“…This research lays the groundwork for scalable MICP production, which is capable of meeting the demands of real-world building and geoenvironmental projects.…”
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Fuzzy Enhanced Kidney Tumor Detection: Integrating Machine Learning Operations for a Fusion of Twin Transferable Network and Weighted Ensemble Machine Learning Classifier by Ananya Ghosh, Jyotismita Chaki

“…To improve training, we amplified the original dataset by creating variations with added noise and artificial modifications to simulate real-world image imperfections. The integration of Machine Learning Operations practices ensures the scalability, reproducibility, and clinical deployment of the system. …”
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Do oversimplified durability metrics undervalue biochar carbon dioxide removal? by A J Ringsby, K Maher

“…To reliably credit CDR, we propose a series of recommendations, including the creation of representative distributions for current feedstocks and environmental gradients to better align experimental data with real-world practices. Further, we suggest an approach to integrate in-field measurement protocols with existing strategies to evaluate CDR value, with potential to co-generate data to guide deployment, maximize agronomic co-benefits, and improve confidence in project integrity.…”
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Angiotensin-Neprilysin Inhibitor Therapy: A Retrospective Chart Study by Roda Plakogiannis, Abraham Stefanidis, Nubriel Hernandez, Etty Vider

“…Conclusion and Relevance: This study examines the real-world effects of ARNI therapy in patients with systolic heart failure. …”
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Some complex probabilistic hesitant fuzzy aggregation operators and their applications to multi-attribute decision making by Yanpo Yang, Baoquan Ning, Fengjuan Tian, Guihui Lu

“…Considering the randomness and ambiguity often simultaneously occur in real-world problems, we come up with an innovative fuzzy set called complex probabilistic hesitant fuzzy set (CPHFS) in this article, which is a joint extension of CFS and probabilistic hesitant fuzzy set (PHFS). …”
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Healthcare Resource Utilization and Costs Associated with Autosomal Dominant Polycystic Kidney Disease by Christopher M. Blanchette, Şerban R. Iorga, Aylin Altan, Jerry G. Seare, Ying Fan, Sandro Rossetti, Benjamin Gutierrez

“…**Objectives:** The objective of this study was to assess real-world healthcare resource utilization and cost among commercially insured (COM) and Medicare Advantage (MAPD) ADPKD patients in addition to the cost profile by chronic kidney disease (CKD) stage. …”
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Extracting Origin-Destination with Vehicle Trajectory Data and Applying to Coordinated Ramp Metering by Cheng Zhang, Jiawen Wang, Jintao Lai, Xiaoguang Yang, Yuelong Su, Zhenning Dong

“…It is ready for practice and the analysis supports the real-world application.…”
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Enhancing drug discovery and patient care through advanced analytics with the power of NLP and machine learning in pharmaceutical data interpretation by Nagalakshmi R, Surbhi Bhatia Khan, Ananthoju Vijay kumar, Mahesh T R, Mohammad Alojail, Saurabh Raj Sangwan, Mo Saraee

“…Comprehensive analysis demonstrates the scalability and adaptability of these technologies in real-world healthcare settings, potentially leading to substantial improvements in patient outcomes and operational efficiencies within the healthcare system.…”
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A scoping review of Do-It-Yourself Automated Insulin Delivery system (DIY AID) use in people with type 1 diabetes. by Amy E Morrison, Kimberley Chong, Peter A Senior, Anna Lam

“…<h4>Conclusion</h4>There is extensive real-world data, but a lack of randomized control trial evidence supporting DIY AID system use, due to the user-driven, unregulated nature of these systems. …”
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Generation of Rational Drug-like Molecular Structures Through a Multiple-Objective Reinforcement Learning Framework by Xiangying Zhang, Haotian Gao, Yifei Qi, Yan Li, Renxiao Wang

“…However, many of them lack practical value for real-world drug discovery. In this work, we have developed a graph-based generative model within a reinforcement learning framework, namely, METEOR (Molecular Exploration Through multiplE-Objective Reinforcement). …”
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Long-term health consequences and costs of changes in alcohol consumption in England during the COVID-19 pandemic. by Joshua Card-Gowers, Sadie Boniface, Jamie Brown, Loren Kock, Alexander Martin, Lise Retat, Laura Webber

“…<h4>Conclusions</h4>Alcohol harm is projected to worsen as an indirect result of the COVID-19 pandemic and inequalities are projected to widen. Early real-world data corroborate the findings of the modelling study. …”
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