Effectiveness of Generative Artificial Intelligence-Driven Responses to Patient Concerns in Long-Term Opioid Therapy: Cross-Model Assessment by Giuliano Lo Bianco, Christopher L. Robinson, Francesco Paolo D’Angelo, Marco Cascella, Silvia Natoli, Emanuele Sinagra, Sebastiano Mercadante, Filippo Drago

“…Ten pain physicians and two non-healthcare professionals independently assessed the responses using a Likert scale to rate reliability (1–6 points), accuracy (1–3 points), and comprehensibility (1–3 points). …”
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Flood Susceptibility Mapping in Punjab, Pakistan: A Hybrid Approach Integrating Remote Sensing and Analytical Hierarchy Process by Rana Muhammad Amir Latif, Jinliao He

“…The model, trained on a dataset of 850 training points, 70% for training and 30% for validation, achieved a high accuracy (AUC = 90%), highlighting the effectiveness of the chosen approach. …”
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Evaluation of Neural Networks for Improved Computational Cost in Carbon Nanotubes Geometric Optimization by Luis Josimar Vences-Reynoso, Daniel Villanueva-Vasquez, Roberto Alejo-Eleuterio, Federico Del Razo-López, Sonia Mireya Martínez-Gallegos, Everardo Efrén Granda-Gutiérrez

“…While the final geometric optimization calculations were completed within Material Studio, the neural networks effectively generated preoptimized CNT structures that served as starting points, significantly reducing computational time. …”
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From Novel Facial Measurements to Facial Implantology: A Systematic Review by Helena Baecher, Alexandra Scheiflinger, Katya Remy, Niklas Straub, Bhagvat Maheta, Khalil Sherwani, Can Deniz, Samuel Knoedler, Ali-Farid Safi, Martin Kauke-Navarro, Max Heiland, Leonard Knoedler

“…Primarily, mandibular (46%) or nasal regions (23%) were investigated, with porous polyethylene (31%), silicone (23%), and polyetheretherketone (23%) being the most utilized materials. Despite considerable heterogeneity in measurement approaches, including variations in reference points and angles, complications such as surgical site infections and nerve-related injuries were reported in the included studies. …”
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Multimodal Lotus Effect Algorithm for Engineering Optimization Problems by Elham Dalirinia, Mahdi Yaghoobi, Hamid Tabatabaee, Swati Chandna, Mehrdad Jalali

“…The algorithm's practical utility is further validated in two applications: identifying Nash equilibrium points in game theory and localizing resources via robotic systems. …”
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Avalanche Hazard Dynamics and Causal Analysis Along China’s G219 Corridor: A Case Study of the Wenquan–Khorgas Section by Xuekai Wang, Jie Liu, Qiang Guo, Bin Wang, Zhiwei Yang, Qiulian Cheng, Haiwei Xie

“…Subsequent application of the Certainty Factor (CF) model and sensitivity analysis determined dominant controlling factors and quantified zonal influence intensity for each parameter. This study, utilizing field reconnaissance and drone aerial photography, identified 86 avalanche points in the study area. …”
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A Reinforcement Learning Approach Combined With Scope Loss Function for Crime Prediction on Twitter (X) by Liu Yang, Jiang Guofan, Zhang Yixin, Wei Qianze, Zhang Jian, Roohallah Alizadehsani, Pawel Plawiak

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Synergizing Attribute-Guided Latent Space Exploration (AGLSE) with Classical Molecular Simulations to Design Potent Pep-Magnet Peptide Inhibitors to Abrogate SARS-CoV-2 Host Cell E... by Farhan Ullah, Aobo Xiao, Shahid Ullah, Na Yang, Min Lei, Liang Chen, Sheng Wang

“…We believe that the peptides generated through AI and MD simulations in the current study could be potential inhibitors in natural systems that can be utilized in designing therapeutic strategies against SARS-CoV-2.…”
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Methods for Predicting Bubble Size Distribution in Turbulent Flow by Pengcheng Li, David Z. Zhu, Hang Wang, Rongcai Tang

“…Abstract Gas bubbles are commonly observed in both natural and human‐made water systems, and their generation and distribution play pivotal roles in water quality and aquatic habitats. …”
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Microplastics in Weras Ganga, Bolgoda North Lake, Sri Lanka: A Reflection of Urban Waste Mismanagement by Mahesh Jayaweera, Shakthi Bastians, Janith Dissanayake, Chamini Hemachandra, Thilomi Samarakoon

“…Microplastic (MP) pollution has emerged as a significant environmental issue, especially within urban riverine systems affected by inadequate waste management practices. …”
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Autonomous Mission Planning for Fixed-Wing Unmanned Aerial Vehicles in Multiscenario Reconnaissance by Bei Chen, Jiaxin Yan, Zebo Zhou, Rui Lai, Jiejian Lin

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Digital Empowerment in Social Work: Leveraging AI to Enhance Educational Access in Developing Nations by Zvinodashe Revesai, Benjamin Tungwa, Telson Anesu Chisosa, Vanessa Runyararo Meki

“…The findings show that, with careful implementation and consideration of the context, artificial intelligence can reduce inequalities in education and enhance students' abilities through personalized learning paths, virtual environments for practice, and automated feedback systems. However, this research points out the need for addressing the digital divide and ethical issues associated with artificial intelligence, including problems of privacy and algorithmic bias. …”
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Multimethod Analysis of Heavy Metal Pollution and Source Apportionment in a Southeastern Chinese Region by Dingwei Qi, Haiyang Chen, Litang Hu, Jianchong Sun

“…This study investigates the status of heavy metal pollution in a southeastern region of China and aims to identify its sources using data from the first national soil pollution survey, which includes 282 sampling points. Indicators such as the geoaccumulation index (<i>Igeo</i>), the potential ecological risk index (<i>RI</i>), the hazard index (<i>HI</i>), and the total lifetime cancer risk (<i>TLCR</i>) were utilized to assess contamination levels. …”
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Challenges in the food supply chain following the great earthquake disaster in Turkey: A study of the regions of Malatya, Adıyaman and Kahramanmaraş by Hacer Alataş, Nurgül Arslan

“…BACKGROUND: The consequences of natural disasters, such as damage to food systems, destruction of transport infrastructure, and organizational issues, can threaten the food security of people. …”
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Vibration-based gearbox fault diagnosis using a multi-scale convolutional neural network with depth-wise feature concatenation. by Van-Trang Nguyen, Quoc Bao Diep

“…As critical components in manufacturing, energy production, transportation, and heavy machinery, gearboxes constitute major potential failure points, with malfunctions leading to costly downtime and, in severe cases, catastrophic incidents. …”
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Dynamic Modeling and Analysis of Industrial Robots for Enhanced Manufacturing Precision by Claudius Birk, Martin Kipfmüller, Jan Kotschenreuther

“…Future work will investigate nonlinear effects such as torsional stiffness hysteresis, particularly relevant for Harmonic Drive systems.…”
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Technology-Enhanced Multimodal Learning Analytics in Higher Education: A Systematic Literature Review by Ozan Rasit Yurum

“…The studies also pointed out several implications and future directions, with a significant portion highlighting the development of interventions, frameworks, or adaptive systems using MMLA.…”
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Individual Segmentation of Intertwined Apple Trees in a Row via Prompt Engineering by Herearii Metuarea, François Laurens, Walter Guerra, Lidia Lozano, Andrea Patocchi, Shauny Van Hoye, Helin Dutagaci, Jeremy Labrosse, Pejman Rasti, David Rousseau

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Quantifying the Temporal Dynamics of Marine Biodiversity Under Anthropogenic Impacts Using eDNA Metabarcoding by Zhewei Si, Wu Han, Tsz Ying Chan, Gert‐Jan Jeunen, Cheng Qian, Isis Guibert, Cheuk Fung Wong, David Baker, Mathew Seymour

“…The use of autonomous reef monitoring systems (ARMS) has been effective in assessing reef benthic biodiversity. …”
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Potential predictive biomarkers in antitumor immunotherapy: navigating the future of antitumor treatment and immune checkpoint inhibitor efficacy by Xiangyu Yin, Xiangyu Yin, Xiangyu Yin, Xiangyu Yin, Yunjie Song, Wanglong Deng, Neil Blake, Xinghong Luo, Jia Meng, Jia Meng, Jia Meng

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