An Evaluation on the Potential of Large Language Models for Use in Trauma Triage by Kelvin Le, Jiahang Chen, Deon Mai, Khang Duy Ricky Le

“…There remains room for more rigorous research into refining the consistency and capabilities of LLMs, ensuring their effective integration in real-world trauma triaging to improve patient outcomes and resource utilisation.…”
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Identifying and evaluating supplier selection criteria in iran's steel industry according to industry 4.0 technologies by Shahab Bayatzadeh, Maghsoud Amiri

“…Because decision-making in the real world is often faced with uncertainty, Employing the Fuzzy Delphi and Fuzzy FUCOM methods in this article will make decisions in the selection of suppliers in Industry 4.0 enables more accurate and reliable decision-making.…”
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Enhancing endocrine system learning in nursing education: a Ten-Jump model developed at Universitas Negeri Gorontalo by Cecy Rahma Karim, Elya Nusantari, Frida Maryati Yusuf, Margaretha Solang, Weny J. A. Musa, Nova Elysia Ntobuo

“…Evaluated through student assessments, feedback, and learning outcomes, the results showed the model is valid, meets educational standards, and is practical for real-world use. It effectively improves problem-solving skills, promotes independent study, and increases student motivation. …”
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Link prediction method for dynamic networks based on matching degree of nodes by Cong LI, Xinsheng JI, Ushuxin LI, Jinsong LI, Haitao LI

“…The research of dynamic evolutionary trends and temporal characteristics in real networks which are important part of the real world is a hot research issue nowadays.As a typical research tool in the field of network science, link prediction technique can be used to predict the network evolution by mining the historical edge information and then predict the future edge.The topological evolution of dynamic real networks was analyzed and it found that the interaction and matching between nodes in the network topology can capture the dynamic characteristics of the network more comprehensively.The proposed method analyzed the attribute characteristics of network nodes, and defined a node importance quantification method based on primary and secondary influences.Besides, a time decay factor was introduced to portray the influence of network topology on the formation of connected edges at different moments.Furthermore, the node importance and time decay factor were combined to define the Temporal Matching Degree of Nodes (TMDN), which was used to measure the possibility of future edge formation between node pairs.The experimental results in five real dynamic network datasets showed that the proposed method achieves better prediction performance under both AUC and Ranking Score, with a maximum improvement of 42%.It also proved the existence of interactive matching priority among nodes, and confirmed the effectiveness of both primary and secondary influence of nodes.As the future work, we will add diversified feature information to further deepen the analysis of dynamic real networks and then predict the evolution law more accurately.…”
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Paying attention to the SARS-CoV-2 dialect : a deep neural network approach to predicting novel protein mutations by Magdalyn E. Elkin, Xingquan Zhu

“…A ranking approach is proposed to combine all three aspects to capture mutations demonstrating evolving traits, in accordance with real-world SARS-CoV-2 spike protein sequence evolution. …”
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Einstein Aggregation Operators for Pythagorean Fuzzy Soft Sets with Their Application in Multiattribute Group Decision-Making by Rana Muhammad Zulqarnain, Imran Siddique, Fahd Jarad, Y. S. Hamed, Khadijah M. Abualnaja, Aiyared Iampan

“…Pythagorean fuzzy soft numbers (PFSNs) support us to signify unclear data in real-world perception. Furthermore, a numerical description is planned to certify the efficacy and usability of the projected method in the DM practice. …”
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Responsive afatinib treatment in high-grade salivary gland ductal carcinoma and NSCLC with uncommon EGFR mutations: Treatment outcomes by Sivakamavalli Jeyachandran

“…Similarly, in NSCLC, uncommon EGFR mutations historically resistant to conventional inhibitors respond favorably to afatinib, as evidenced by clinical trials and real-world data. The success of afatinib in both malignancies underscores the importance of personalized medicine. …”
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Environmental Enrichment Therapy for Autism: Outcomes with Increased Access by Eyal Aronoff, Robert Hillyer, Michael Leon

“…We have previously shown in two randomized clinical trials that environmental enrichment is capable of ameliorating symptoms of autism spectrum disorder (ASD), and in the present study, we determined whether this therapy could be effective under real-world circumstances. 1,002 children were given daily Sensory Enrichment Therapy, by their parents, using personalized therapy instructions given over the Internet. …”
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Prevention or Promotion? Predicting Author's Regulatory Focus by Aswathy Velutharambath, Kai Sassenberg, Roman Klinger

“…To bridge this gap we introduce the novel task of regulatory focus classification from text and present two complementary German datasets – (1) experimentally generated event descriptions and (2) manually annotated short social media texts used for evaluating the generalizability of models on real-world data. First, we conduct a correlation analysis to verify if the linguistic footprints of regulatory focus reported in psychology studies are observable and to what extent in our datasets. …”
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A New Approach to Regional Traffic Estimation for Intelligent Transport Systems by Minghe Yu, Jianhua Feng, Tianmiao Zhang, Tiancheng Zhang

“…Experimental results on real-world dataset show that our proposed method achieves high performance.…”
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A Survey on Machine Learning Techniques for Head-Related Transfer Function Individualization by Davide Fantini, Michele Geronazzo, Federico Avanzini, Stavros Ntalampiras

“…HRTFs are utilized to render audio signals at specific spatial positions, thereby simulating real-world sound wave interactions with the human body. …”
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A Green Demand-Responsive Airport Shuttle Service Problem with Time-Varying Speeds by Ming Wei, Binbin Jing, Jian Yin, Yang Zang

“…Since this task is an NP-hard problem, a heuristic-based nondominated sorting genetic algorithm (NSGA-II) is also presented to find Pareto optimal solutions in a reasonable amount of time. Finally, a real-world example is provided to illustrate the proposed methodology. …”
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Adversarial detection based on feature invariant in license plate recognition systems by ZHU Xiaoyu, TANG Peng, ZHANG Haochen, QIU Weidong, HUANG Zheng

“…In response to adversarial sample attacks on real-world license plate recognition systems, an unsupervised adversarial sample detection system named FIAD was proposed, which was based on analyzing the inherent variations in neural networks trained on clean samples and the dimensional complexity between clean samples. …”
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Multiple-Camera Patient Tracking Method Based on Motion-Group Parameter Reconstruction by Simeon Karpuzov, George Petkov, Stiliyan Kalitzin

“…We demonstrate that synchronous, multi-camera tracking scenarios provide improvements in both real-world and simulated tests. This new approach allows for improving the accuracy and robustness of the original methods, to extend the tracking coverage, and to provide other beneficial effects, such as more precise detection of fast-moving objects. …”
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Recent advances in journal bearings: wear fault diagnostics, condition monitoring and fault diagnosis methodologies by Nazik Jebur, Wafa Soud

“…Addressing these ongoing issues will further enhance condition monitoring and defect detection, leading to more reliable and academically rigorous diagnostic methods applicable in diverse real-world scenarios.…”
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Previous treatment decreases efficacy of pralsetinib in RET fusion-positive non-small-cell lung cancer by Lei Wang, Yafei You, Wenzhuo He, Yu Hou, Lan Li, Li Wang, Chang Jiang, Jiahong Yi, Yaoxiong Xia, Liangping Xia

“…However, the efficacy and safety of pralsetinib in real world has rarely been reported.Materials and methodsThis study reviewed the efficacy and safety of pralsetinib in RET fusion-positive NSCLC patients between March 2021 and December 2021. …”
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Tumor mutational burden and survival on immune checkpoint inhibition in >8000 patients across 24 cancer types by Vivek Subbiah, Samuel J Klempner, Neeraj Agarwal, David P Carbone, Amit Mahipal, Shilpa Gupta, David Fabrizio, Jeffrey S Ross, Gerald Li, David R Gandara, Miles C Andrews, Jonathan W Riess, Ramez N Eskander, Ryon P Graf, Geoffrey R Oxnard, Sarah Sammons, Jeremy Snider, Lilia Bouzit, Cheryl Cho-Phan, Megan Price, Julia C F Quintanilha, Richard Sheng Poe Huang

“…This study used the TMB algorithm from the FDA-approved test supporting solid tumor CDx and composite mortality variable validated against the national death index: real-world overall survival (rwOS). Following a prespecified analysis plan, rwOS by TMB level was assessed using Cox PH models adjusted for Eastern Cooperative Oncology Group performance status, prior treatment, microsatellite instability, sex, age, opioid rx pretherapy, and socioeconomic assessment.Results 8440 patients met inclusion criteria. …”
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Lightweight Daylily Grading and Detection Model Based on Improved YOLOv10 by JIN Xuemeng, LIANG Xiyin, DENG Pengfei

“…However, current target detection models face challenges such as inadequate accuracy and excessive parameters when applied to dried daylily grading, limiting their practical application and widespread use in real-world settings. To address these issues, an innovative lightweight YOLOv10-AD network model was proposed. …”
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Implementation of patient-reported outcome dashboards within the electronic health record to support shared decision-making in serious chronic illness by Glyn Elwyn, Sheetal M Kircher, Eugene Nelson, David Cella, Lisa Hirschhorn, Cynthia Barnard, Vikram Aggarwal, Jeffrey Linder, Sofia F Garcia, Aricca Van Citters, Mary O'connor, Laura M Perry, Nisha A Mohindra, Ava Coughlin, Katy Bedjeti, Devin Peipert, Melissa Weitzel, Victoria Morken, Elijah Patten, Jissell Torres, Susan Metzger, Alesia O’daniel, Ryan Chmiel, Reena Modi, Michelle Munroe, Stavroula Xinos

“…Results also point to areas for improvement, including strategies to further support patient and clinician engagement, PRO completion and sustainability in real-world implementation.…”
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Explainable and perturbation-resilient model for cyber-threat detection in industrial control systems Networks by Urslla Uchechi Izuazu, Cosmas Ifeanyi Nwakanma, Dong-Seong Kim, Jae Min Lee

“…Current IDS models often assume ideal conditions, overlooking noise and adversarial manipulations, leading to degraded performance when deployed in real-world environments. Additionally, the black-box nature of DL model complicates decision-making, especially in industrial control systems (ICS) network, where understanding model behavior is crucial. …”
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