An automated information extraction model for unstructured discharge letters using large language models and GPT-4 by Robert M. Siepmann, Giulia Baldini, Cynthia S. Schmidt, Daniel Truhn, Gustav Anton Müller-Franzes, Amin Dada, Jens Kleesiek, Felix Nensa, René Hosch

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Synthetic4Health: generating annotated synthetic clinical letters by Libo Ren, Samuel Belkadi, Lifeng Han, Lifeng Han, Warren Del-Pinto, Goran Nenadic

“…It offers a direction for utilizing the model to process real-world clinical letters, thereby helping to expand datasets in the clinical domain. Our codes and trained models are available at https://github.com/HECTA-UoM/Synthetic4Health.…”
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Leveraging Subjective Parameters and Biomarkers in Machine Learning Models: The Feasibility of <i>lnc-IL7R</i> for Managing Emphysema Progression by Tzu-Tao Chen, Tzu-Yu Cheng, I-Jung Liu, Shu-Chuan Ho, Kang-Yun Lee, Huei-Tyng Huang, Po-Hao Feng, Kuan-Yuan Chen, Ching-Shan Luo, Chien-Hua Tseng, Yueh-His Chen, Arnab Majumdar, Cheng-Yu Tsai, Sheng-Ming Wu

“…The dataset was then split into training and validation (80%) and test (20%) subsets. …”
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Metaphorical framing of sad and happy narratives in Jordanian Arabic: A cognitive-discursive perspective by Othman Khalid Al-Shboul

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The Use of Python to Support Technical Services Work in Academic Libraries by Maria Collins, Xiaoyan Song, and Sherri Schon

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Launching an Intranet in LibGuides CMS at the Georgia Southern University Libraries by Wilhelmina Randtke

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Leveraging Aviary for Past and Future Audiovisual Collections by Tyler Mobley and Heather Gilbert

“…This can be challenging when many library staff have no formal training in oral history and only a passing familiarity with the format. …”
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Comparison of Different Twin Row and Narrow Row Sowing Methods in Corn A Clay-Textured Soil by Betül Kolay, Özlem Avşar, Uğur Bilge, Kudret Berekatoğlu, Sevda Kılınç, Ferhat Oğurlu, Şehmus Atakul, Yener Çelik, Abdullah Eren, Ali Rıza Öztürkmen

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Finetuning Large Language Models for Vulnerability Detection by Aleksei Shestov, Rodion Levichev, Ravil Mussabayev, Evgeny Maslov, Pavel Zadorozhny, Anton Cheshkov, Rustam Mussabayev, Alymzhan Toleu, Gulmira Tolegen, Alexander Krassovitskiy

“…The key contributions are finetuning the state-of-the-art code LLM, WizardCoder, increasing its training speed without the performance harm, optimizing the training procedure and regimes, handling class imbalance, and improving performance on difficult vulnerability detection datasets. …”
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Empowering senior medical residents as resuscitation team leaders by Florence Morriello, Jade Quirion, Homun Yee, Rashmi Narendrula

“…Residents lack training in non-technical skills and as a result feel they don’t know how to lead a code blue team and feel they lack the necessary skills to work effectively in a code blue team, especially under pressure. …”
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CARLA-GymDrive: Autonomous driving episode generation for the Carla simulator in a gym environmentGitHub by Ângelo Miguel Rodrigues Morgado, Nuno Gonçalo Coelho Costa Pombo

“…It includes features such as scenario configuration to ensure that the training/test suite is adequate without requiring any code. …”
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Systematic review: Barcode link modules for interactive science and math learning in Indonesian High Schools by Fransiska Romana Febrianti, Mohammad Masykuri, Endang Susilowati

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Color Simulation of Multilayered Thin Films Using Python by Dongik Lee, Seunghun Lee

“…We provide an open-source Python code for simulating reflectance spectra and extracting color values. …”
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Neural network decoding of the block Markov superposition transmission by Qianfan WANG, Sheng BI, Zengzhe CHEN, Li CHEN, Xiao MA

“…A neural network (NN)-based decoding algorithm of block Markov superposition transmission (BMST) was researched.The decoders of the basic code with different network structures and representations of training data were implemented using NN.Integrating the NN-based decoder of the basic code in an iterative manner,a sliding window decoding algorithm was presented.To analyze the bit error rate (BER) performance,the genie-aided (GA) lower bounds were presented.The NN-based decoding algorithm of the BMST provides a possible way to apply NN to decode long codes.That means the part of the conventional decoder could be replaced by the NN.Numerical results show that the NN-based decoder of basic code can achieve the BER performance of the maximum likelihood (ML) decoder.For the BMST codes,BER performance of the NN-based decoding algorithm matches well with the GA lower bound and exhibits an extra coding gain.…”
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Rootstock and grafting type affect the growth and oil quality of medicinal pumpkin (Cucurbita pepo Var. styriaca) by Azadeh Nazarpour, Majid Azizi, Saba Samadi, Hossein Aroiee, Ali Farhadi, Murad Muhammad, Mohammad Reza Morshedloo

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Att instruera i idrottskontext by Katarina Lundin

“…The article focuses the instructions that the trainees receive when performing different exercises during training. The primary theoretical framework is Bernstein’s (1971 and onwards) concepts classification, framing, and a collective as opposed to an integrated code, concepts which are otherwise used in other contexts. …”
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Dispatch Decisions and Emergency Medical Services Response in the Prehospital Care of Status Epilepticus by Robert P. McInnis, Andrew J. Wood, Courtney L. Shay, Anna A. Haggart, Remle P. Crowe, Elan L. Guterman

“…We examined the dispatch-determined complaint designated by the emergency medical dispatch (EMD) code, dispatch-determined level of acuity (A, B, C, D), ambulance response, and training level of the responding prehospital professional. …”
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Some Issues of Normative and Legal Regulation of Weapons in Ukraine by K. L. Buhaichuk

“…The publication defines the directions for improving the draft laws under consideration in terms of: definitions of the terms of «sporting weapon», «thermal imaging sight», «signal weapon», «night vision sight», «training-split weapon - neutralized weapon», «right to carrying weapon», «right to own weapon»; introduction of the terms of «law enforcement agency», «intelligence agency», «law enforcement agency of special purpose», «state agency of special purpose with law enforcement functions» into the conceptual apparatus of the law, since some authors use them to define the regime of special circulation of civil firearms; establishment of restrictions on the number of civilian firearms and ammunition for them, which can be acquired by an individual; creating legislative prerequisites for the approval of a by-law, which will clearly provide the procedure for transferring seized weapons to the National Police for further storage; securing the obligation of security personnel to provide emergency medical care to persons to whom they use weapons; introduction of norms that will establish the obligation of applicants for the acquisition, possession and use of weapons to take the appropriate courses within first aid; preservation of the wording of the Articles 190-195 of the Code of Ukraine on Administrative Offenses until the relevant law on the legal regime of sidearm is adopted.…”
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Dynamics of Language Use in Socio-Academic Contexts and Their Implications for Language Teaching by Muh Kholiq

“…The study recommends bilingual language policies and lecturer training on code-switching techniques to improve teaching effectiveness. …”
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Structuring meaningful bug‐fixing patches to fix software defect by Hui Li, Yong Liu, Xuexin Qi, Xi Yu, Shikai Guo

“…However, these solutions are frequently challenged by issues, such as a vast vocabulary, network training difficulties and elongated training processes resulting from the handling of redundant information. …”
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