Small language models enable rapid and accurate extraction of structured data from unstructured text: An example with plants and their specialized metabolites by Lucas Busta, Alan R. Oyler

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An evidence-based digital prescription opioid safety toolkit for national dissemination: co-design and user testing by Alex Waddell, Jessica L. Watterson, Jessica L. Watterson, Dhruv Basur, Christopher Owen Prawira, Louisa Picco, Tina Lam, Patrick Olivier, Joshua Paolo Seguin, Liam Kay, Suzanne Nielsen

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Identifying the critical micropores characteristics for the degradation of mechanical properties in automotive wheels by Yisheng Miao, Zhongyao Li, Xuelong Wu, Shuwei Feng, Shihao Wang, Decai Kong, Qinghuai Hou, Xiaoying Ma, Haibo Qiao, Xiang Li, Wenbo Wang, Yuling Lang, Junsheng Wang

“…Fatigue cracks typically initiate from such defects as gas and shrinkage pores formed during solidification in low-pressure die casting process of wheels. However, it is still largely unknown which micropore characteristic determines the degradation of mechanical properties in aluminum automotive wheels. …”
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NNHMC: An Efficient Stokes Inversion Method Using a Neural Network (NN) Model Combined with the Hamiltonian Monte Carlo (HMC) Algorithm by Chong Xu, JinLiang Wang, Hao Li, ZiYao Hu, XianYong Bai, JiaBen Lin, Hui Liu, ZhenYu Jin, KaiFan Ji

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Optimization of Short-Lag Spatial Coherence Imaging Method by Jakub DOMARADZKI, Marcin LEWANDOWSKI, Norbert ŻOŁEK, Marcin LEWANDOWSKI

“…The computing performance optimization of the Short-Lag Spatial Coherence (SLSC) method applied to ultrasound data processing is presented. …”
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Multi-Criteria Decision Analysis of Entrepreneurial Orientation and Business Performance in Nigeria by Adebiyi Sulaimon Olanrewaju, Amole Bilqis Bolanle, Arikewuyo Kareem Abidemi, Oyenuga Olamilekan Gbenga

“…This study explores the application of AHP methodology for measuring complex entrepreneurial decision-making process for enhancing business performance. Thus, the AHP revealed a potential research method in computing weights and chasing MCDM process.…”
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V3DQutrit a volumetric medical image segmentation based on 3D qutrit optimized modified tensor ring model by Pratishtha Verma, Harish Kumar, Dhirendra Kumar Shukla, Sambit Satpathy, Deema Mohammed Alsekait, Osamah Ibrahim Khalaf, Ala Alzoubi, Basma S. Alqadi, Diaa Salama AbdElminaam, Arvinda Kushwaha, Jagriti Singh

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AI-Driven Chatbot for Real-Time News Automation by Fahim Sufi, Musleh Alsulami

“…Summarization queries were processed within an average response time of 9 s, while correlation analyses required approximately 21 s per query. …”
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MSA-Net: multiple self-attention mechanism for 3D lung nodule classification in CT images by Jiating Pan, Lishi Liang, Peng Sun, Yongbo Liang, Jianming Zhu, Zhencheng Chen

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Edge-Optimized Lightweight YOLO for Real-Time SAR Object Detection by Caiguang Zhang, Ruofeng Yu, Shuwen Wang, Fatong Zhang, Shaojia Ge, Shuangshuang Li, Xuezhou Zhao

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Empirical Geomorphic Approach to Complement Morphodynamic Modeling on Embayed Beaches by Changbin Lim, Jung-Lyul Lee, John R. C. Hsu

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Name Entity Recognition Tasks: Technologies and Tools by Nadezhda Stanislavona Lagutina, Andrey Mikhaylovich Vasilyev, Daniil Dmitrievich Zafievsky

“…The authors identified five categories: the classical task of NER, NER subtasks, NER in social media, NER in domain, NER in natural language processing (NLP) tasks. For each category the authors discuss the quality of the solution, features of the methods, problems, and limitations. …”
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USE OF A NUMERICAL ANALYTICAL MODEL FOR ASSESSING THE FUNCTIONAL EFFECTIVENESS OF AN INFORMATION PROTECTION SYSTEM BY ANALYSING ITS PROBABILISTIC-TEMPORAL CHARACTERISTICS by V. P. Alferov, A. V. Butskikh, A. V. Krisilov, A. D. Popov, E. A. Rogozin

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Attention-Guided Sample-Based Feature Enhancement Network for Crowded Pedestrian Detection Using Vision Sensors by Shuyuan Tang, Yiqing Zhou, Jintao Li, Chang Liu, Jinglin Shi

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Applications of AI-Based Models for Online Fraud Detection and Analysis by Antonis Papasavva, Samantha Lundrigan, Ed Lowther, Shane Johnson, Enrico Mariconti, Anna Markovska, Nilufer Tuptuk

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Expert evaluation of large language models for clinical dialogue summarization by David Fraile Navarro, Enrico Coiera, Thomas W. Hambly, Zoe Triplett, Nahyan Asif, Anindya Susanto, Anamika Chowdhury, Amaya Azcoaga Lorenzo, Mark Dras, Shlomo Berkovsky

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Prevalence of hitherto unknown brain meningioma detected on 68Ga-DOTATATE positron-emission tomography/computed tomography in patients with metastatic neuroendocrine tumor and expl... by Rahul V. Parghane, Sanjay Talole, Sandip Basu

“…The primary aim of this study was to study incidentally detected meningiomas (on 68Ga-DOTATATE/18F fluorodeoxyglucose positron-emission tomography/computed tomography [18F-FDG PET/CT]) in metastatic NET patients referred for peptide receptor radionuclide therapy (PRRT). …”
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Prevalence of hitherto unknown brain meningioma detected on 68Ga-DOTATATE positron-emission tomography/computed tomography in patients with metastatic neuroendocrine tumor and expl... by Rahul V Parghane, Sanjay Talole, Sandip Basu

“…The primary aim of this study was to study incidentally detected meningiomas (on 68Ga-DOTATATE/18F fluorodeoxyglucose positron-emission tomography/computed tomography [18F-FDG PET/CT]) in metastatic NET patients referred for peptide receptor radionuclide therapy (PRRT). …”
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Using a transformer language model to curate a pulmonary embolism dataset from the Medical Information Mart for Intensive Care IV: MIMIC-IV-Ext-PE by Barbara D. Lam, Shengling Ma, Iuliia Kovalenko, Peiqi Wang, Omid Jafari, Ang Li, Steven Horng

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Detecting Anomalies in CPU Behavior Using Clustering Algorithms from the Scikit-Learn Library in Python Programming Language by Artem Turashev, Vladimir Sukhomlin

“…The central processing unit is the main computing component responsible for executing instructions and processing data. …”
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