Enhancing Immoral Post Detection on Social Networks Using Knowledge Graph and Attention-Based BiLSTM Framework by Bibi Saqia, Khairullah Khan, Atta Ur Rahman, Sajid Ullah Khan, Mohammed Alkhowaiter, Wahab Khan, Ashraf Ullah

“…Various Natural Language Processing (NLP) approaches are being employed to detect subtle immoral posts; however, there remains a research gap due to the semantic and contextual complexity of natural language. …”
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AIpollen: An Analytic Website for Pollen Identification Through Convolutional Neural Networks by Xingchen Yu, Jiawen Zhao, Zhenxiu Xu, Junrong Wei, Qi Wang, Feng Shen, Xiaozeng Yang, Zhonglong Guo

“…With the rapid development of artificial intelligence, deep learning has been widely applied to complex tasks such as computer vision and natural language processing, demonstrating its outstanding performance. …”
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Analysis of social networks content to identify fake news using stacked combination of deep neural networks by Yujie Li, Yushui Xiao, Yong Huang, Rui Ma

“…This challenge requires new and powerful approaches in the fields of deep learning and natural language processing to accurately and quickly identify fake news and prevent its dissemination. …”
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Comparing predictive risk to actual presence of coronary atherosclerosis on coronary computed tomography angiography by Emma Playford, Simon Stewart, Gerard Hoyne, Geoff Strange, Girish Dwivedi, Christian Hamilton-Craig, Gemma Figtree, David Playford

“…Atherosclerosis was extracted using natural language processing of the CCTA report, including the coronary artery calcium score (CACS) and the extent and severity of CAD. …”
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Unlocking mobile health adoption: A qualitative exploration of user experiences, barriers, and facilitators within integrated youth services in British Columbia, Canada by Xiaoxu Ding, Kirsten Marchand, Liisa Holsti, Julia Schmidt, Natalie Parde, Brodie Sakakibara, Skye Barbic

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Diagnosis and Management of Alzheimer’s Disease in Primary Care: A Real-World Study in Ontario, Canada by Zahinoor Ismail, Melanie Wilson, Hany Khalifa, Daniela Belovich, Eileen Shaw, Tram Pham, Suzanne McMullen, Yuhao Chen, Nafiz Sadman, Jackson Cai, Farhana Zulkernine, David Barber

“…Individuals ≥50 years old with dementia or AD were identified using AD and dementia-related diagnostic codes, medications, and keywords searched using natural language processing (NLP) and Artificial Intelligence (AI) algorithms from EMR chart notes. …”
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Association of Pneumatosis Intestinalis With Surgical Outcomes and Mortality: A Matched, Retrospective Cohort Study and Literature Review by Kyle D. Klingbeil, MD, MS, Hila Zelicha, PhD, RD, Yijun Chen, MD, Douglas S. Bell, MD, Edward H. Livingston, MD, FACS, AGAF

“…A radiologic diagnosis of PI was then assessed using natural language processing techniques followed by confirmation using manual chart review. …”
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Integrating social narratives of flood events into a text network analysis-based decision support framework to reduce vulnerability to climate change in Africa by Thomas E. O’Shea, Lena C. Grobusch, Mary Zhang, Jeff Neal, Joseph Daron, Richard G. Jones, Christopher Jack, Alice McClure, Gilbert Siame, Dorothy Ndhlovu, Sukaina Bharwani

“…These narratives were used to calibrate the flood maps with insights from Lusaka’s stakeholders using Natural Language Processing (NLP) and Text Network Analysis (TNA). …”
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Application of Large Language Models in Stroke Rehabilitation Health Education: 2-Phase Study by Shiqi Qiang, Haitao Zhang, Yang Liao, Yue Zhang, Yanfen Gu, Yiyan Wang, Zehui Xu, Hui Shi, Nuo Han, Haiping Yu

“…In contrast, large language models (LLMs) are gaining attention for their potential in medical health education, owing to their advanced natural language processing capabilities. However, the effectiveness of LLMs in home-based stroke rehabilitation remains uncertain. …”
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Evaluation of Depth Anything Models for Satellite-Derived Bathymetry by E. Günaydın, İ. Yakar, T. Bakırman, M. O. Selbesoğlu

“…The emergence of foundation models has driven major advancements in computer vision and natural language processing, primarily due to their strong zero-shot and few-shot capabilities powered by large-scale, diverse datasets. …”
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Personalized Dose Selection for Treatment of Patients with Neuropsychiatric Disorders Using tDCS by Sagarika Bhattacharjee, Rajan Kashyap, Vanteemar S. Sreeraj, Palanimuthu T. Sivakumar, Ganesan Venkatasubramanian, John E. Desmond, S. H. Annabel Chen, T. N. Sathyaprabha, Kaviraja Udupa

“…<b>Method</b>: The present study simulated tDCS administration using T1-weighted brain images of 50 dementia, 25 depression patients, and 25 healthy individuals for two conventional and HD montages, targeting the regions of interest (ROIs) in the dorsal and ventral pathways that support language processing. For each tDCS configuration, the electric fields at the ROIs and the individualized dose required to achieve the desired current intensity at the target ROI across the subjects were estimated. …”
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Rendering the European neutron research landscape by Evgenii Velichko, Hartmut Abele, David J. Barlow, Antonio Benedetto, Stefano Deledda, Lambert van Eijck, Maria Teresa Fernandez-Diaz, Marc Janoschek, Maths Karlsson, Kim Lefmann, Natalie Malikova, Maria P. M. Marques, Konstantina Mergia, Jörg Pieper, Henrik M. Rønnow, Jan Šaroun, Astrid Schneidewind, Frank Schreiber, Kristiaan Temst, Max Wolff, Wojciech Zając, Marco Zanatta

“…To address this challenge, we apply Natural Language Processing (NLP) and machine learning techniques to analyze the scientific output of the European neutron science community. …”
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Text classification using SVD, BERT, and GRU optimized by improved Seagull optimization (ISO) algorithm by Yuanyuan Chen, Nan Sun, Yuanbang Li, Rong Peng, Abbas Habibi

“…Text classification is a key task in natural language processing that entails sorting textual information into specified categories. …”
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Neurophysiological Correlates of Expert Knowledge: An Event-Related Potential (ERP) Study about Law-Relevant Versus Law-Irrelevant Terms by Peter Walla, Stefan Kalt, Konrad Lachmayer

“…In light of prior knowledge regarding language processing, the primary focus was on two distinct electrode locations: one in the left posterior region, and the other in the left frontal region. …”
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Framing of disaster impact in online news media: a case study from Malawi on flood risk management by Hannah Bailon, Kees Boersma, Claudia Orellana-Rodriguez, Marc Van Den Homberg, Marc Van Den Homberg

“…To comprehensively investigate our dataset, we applied natural language processing (NLP) techniques to break down and interpret news article texts and narratives, such as sentences and parts-of-speech. …”
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Development of an Algorithm and Module for Automatic Evaluation of Student Papers Based on Semantic Analysis of Text by A. A. Poguda, Jean Max Habib Tape

“…Various methods can be used to develop a module for automatic assessment of students’ work, such as:Machine learning techniques: these techniques allow the module to learn from a set of examples where lecturers have already assessed students’ papers and automatically grade new papers.Natural Language Processing (NLP) methods: these methods allow the module to understand the meaning of text and evaluate it against given criteria.Expert systems methods: these methods allow the module to utilize the knowledge of experts in assessing students’ papers. …”
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Advancing Mental Health Care: A Comprehensive Review of Digital Tools and Technologies for Enhancing Diagnosis, Treatment, and Wellness by Muhammad Khalid Anser, Agha Amad Nabi, Ishfaq Ahmad, Muhammad Moinuddin Qazi Abro, Khalid Zaman

“…Chatbots employ machine learning algorithms and natural language processing to deliver customized support and show promise for quick intervention. …”
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Explainable Predictive Model for Suicidal Ideation During COVID-19: Social Media Discourse Study by Salah Bouktif, Akib Mohi Ud Din Khanday, Ali Ouni

“…ObjectiveIn this study, our aim was to detect suicidal ideation by mining textual content extracted from social media by leveraging state-of-the-art natural language processing (NLP) techniques. MethodsThe work was divided into 2 major phases, one to classify suicidal ideation posts and the other to extract factors that cause suicidal ideation. …”
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Non-Negative Matrix Factorization and Latent Semantic Analysis for Hybrid Feature Selection: A Proposed Machine Learning System for the Detection of Malicious Executable Files by Moemedi Lefoane, Ibrahim Ghafir, Sohag Kabir, Irfan-Ullah Awan, Khalil El Hindi, Anand Mahendran

“…These features, resembling unstructured vocabulary features in natural language processing, need to be converted into a rectangular matrix for input into a classification model during training. …”
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Intelligent Environmental Health Risk Assessment System for the Elderly in Cold Regions Based on Artificial Intelligence Integrated Development Environment by Tianheng ZHANG, Yao FU, Jian GAO, Huanran XUE

“…The development process employs an iterative evolution approach, converting the Bayesian probability framework into executable code through natural language processing capabilities of the AI-IDE platform. …”
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