POTENTIAL OF MACHINE TRANSLATION IN MUSEUM MEDIA DISCOURSE: ANALYSIS OF MODERN BROWSER SYSTEMS by Vera A. Mityagina, Anna A. Novozhilova, Anna P. Naumova

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Decoding substance use disorder severity from clinical notes using a large language model by Maria Mahbub, Gregory M. Dams, Sudarshan Srinivasan, Caitlin Rizy, Ioana Danciu, Jodie Trafton, Kathryn Knight

“…Traditional natural language processing (NLP) methods face limitations in accurately parsing such diverse clinical language. …”
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How much can we save by applying artificial intelligence in evidence synthesis? Results from a pragmatic review to quantify workload efficiencies and cost savings by Seye Abogunrin, Jeffrey M. Muir, Clarissa Zerbini, Grammati Sarri

“…Data on efficiencies (time- and cost-related) were collected.ResultsWe identified 25 eligible studies: 13 used machine learning, 10 used natural language processing, and once each used a systematic review automation tool and a non-specified AI tool. …”
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A comprehensive dataset and neural network approach for named entity recognition in the Uzbek languageMendeley Data by Davlatyor Mengliev, Vladimir Barakhnin, Mukhriddin Eshkulov, Bahodir Ibragimov, Shohrux Madirimov

“…The proposed dataset and trained model contribute to the development of natural language processing in the Uzbek language. In addition, the authors also conducted an analysis of existing works, as well as a comparative analysis, which will help to identify the distinctive features and novelty of the proposed work. …”
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Artificial intelligence in CT diagnosis: Current status and future prospects for ear diseases by Ruowei Tang, Pengfei Zhao, Jia Li, Zhixiang Wang, Ning Xu, Zhenchang Wang

“…Furthermore, AI-driven natural language processing and large language models are revolutionizing the generation of radiology reports, providing accurate and standardized diagnostic information. …”
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What do pseudowords tell us about word processing? An overview by Celia Martínez-Tomás, Celia Martínez-Tomás, Ana Baciero, Ana Baciero, Miguel Lázaro, José A. Hinojosa, José A. Hinojosa, José A. Hinojosa

“…By providing a focused synthesis of empirical findings, this article underscores the critical insights that research using pseudowords offers into the interconnected nature of cognitive mechanisms in language processing.…”
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TIBW: Task-Independent Backdoor Watermarking with Fine-Tuning Resilience for Pre-Trained Language Models by Weichuan Mo, Kongyang Chen, Yatie Xiao

“…Pre-trained language models such as BERT, GPT-3, and T5 have made significant advancements in natural language processing (NLP). However, their widespread adoption raises concerns about intellectual property (IP) protection, as unauthorized use can undermine innovation. …”
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The construction of a digital dissemination platform for the intangible cultural heritage using convolutional neural network models by Zhurong Liu

“…The platform integrates a range of advanced technologies, including the Densely Connected Convolutional Networks - Bottleneck and Compression model, a notable convolutional neural network, along with natural language processing algorithms, generative adversarial network algorithms, and neural collaborative filtering algorithms. …”
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TEXTS OF DIFFERENT EMOTIONAL CLASSES AND THEIR TOPIC MODELING by Anastasia V. Kolmogorova, Qiuhua Sun

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EEG reveals brain network alterations in chronic aphasia during natural speech listening by Ramtin Mehraram, Jill Kries, Pieter De Clercq, Maaike Vandermosten, Tom Francart

“…Abstract Aphasia is a common consequence of a stroke which affects language processing. In search of an objective biomarker for aphasia, we used EEG to investigate how functional network patterns in the cortex are affected in persons with post-stroke chronic aphasia (PWA) compared to healthy controls (HC) while they are listening to a story. …”
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A machine learning decision support tool optimizes WGS utilization in a neonatal intensive care unit by Edwin F. Juarez, Bennet Peterson, Erica Sanford Kobayashi, Sheldon Gilmer, Laura E. Tobin, Brandan Schultz, Jerica Lenberg, Jeanne Carroll, Shiyu Bai-Tong, Nathaly M. Sweeney, Curtis Beebe, Lawrence Stewart, Lauren Olsen, Julie Reinke, Elizabeth A. Kiernan, Rebecca Reimers, Kristen Wigby, Chris Tackaberry, Mark Yandell, Charlotte Hobbs, Matthew N. Bainbridge

“…Abstract The Mendelian Phenotype Search Engine (MPSE), a clinical decision support tool using Natural Language Processing and Machine Learning, helped neonatologists expedite decisions to whole genome sequencing (WGS) to diagnose patients in the neonatal intensive care unit. …”
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Predicting accrual success for better clinical trial resource allocation by Sisi Ma, Yinzhao Wang, John Wagner, Steve Johnson, Serguei Pakhomov, Constantin Aliferis

“…Features of the dataset were informed by prior literature and constructed using data-driven natural language processing methods. We built predictive models for accrual failure using state-of-the-art supervised machine learning protocols and methods. …”
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Artificial Intelligence in Dyslexia Research and Education: A Scoping Review by Jia Rong Yap, Thirishankari Aruthanan, Mellisa Chin

“…The findings reveal four primary applications of AI in dyslexia education and research: early detection and diagnosis, personalised learning and interventions, speech and language processing as well as brain imaging and neuroimaging analysis. …”
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Hate Speech Detection Using Large Language Models: A Comprehensive Review by Aish Albladi, Minarul Islam, Amit Das, Maryam Bigonah, Zheng Zhang, Fatemeh Jamshidi, Mostafa Rahgouy, Nilanjana Raychawdhary, Daniela Marghitu, Cheryl Seals

“…We analyze the evolution of LLMs in natural language processing and examine their strengths and limitations in identifying hate speech. …”
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CTHP: Selection for adoption of open‐source bioinformatics software based on a customised ISO 25010 quality model, three‐way decision and Delphi hierarchy process by Yuqi Li, Yixin Bian, Ziheng Zhang, Song Zhao, Yiqi Liu

“…Finally, as a case study, the proposed approach is applied to assist the decision‐making process of two popular natural language processing frameworks in the Bioinformatics area. …”
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An Optimized Hyperparameter Tuning for Improved Hate Speech Detection with Multilayer Perceptron by Muhamad Ridwan, Ema Utami

“…Hate speech classification is a critical task in the domain of natural language processing, aiming to mitigate the negative impacts of harmful content on digital platforms. …”
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The Utility of ChatGPT in Educational Research—Potential Opportunities and Pitfalls by Turgut Karakose

“…Background/purpose –Leveraging the latest developments in natural language processing, recent versions of ChatGPT has demonstrated astounding performance on a wide array of tasks through its ability to understand and generate human language, and respond to diverse conversational prompts. …”
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UNDERSTANDING EMOTIONAL RESPONSES TO TEXT: A PSYCHOLINGUISTIC INVESTIGATION OF VISUAL INFLUENCES by Yana A. Volkova, Irina V. Vashunina

“…It attempts to bridge the gap between visual perception, emotion processing, and linguistic communication, offering insights for both practical applications in NLP (Natural Language Processing) and theoretical advancements in cognitive sciences.…”
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A Comprehensive Review of AI’s Current Impact and Future Prospects in Cybersecurity by Abdullah Al Siam, Moutaz Alazab, Albara Awajan, Nuruzzaman Faruqui

“…We examine cutting-edge AI methodologies and principal models across many domains, including machine learning algorithms, deep learning architectures, natural language processing techniques, and anomaly detection algorithms, emphasizing their distinct contributions to enhancing security. …”
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Toward the Development of Large-Scale Word Embedding for Low-Resourced Language by Shahzad Nazir, Muhammad Asif, Shahbaz Ahmad Sahi, Shahbaz Ahmad, Yazeed Yasin Ghadi, Muhammad Haris Aziz

“…Word embedding is possessed by Natural language processing as a key procedure for semantically and syntactically manipulating the unlabeled text corpus. …”
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