Predicting Workplace Hazard, Stress and Burnout Among Public Health Inspectors: An AI-Driven Analysis in the Context of Climate Change by Ioannis Adamopoulos, Antonios Valamontes, Panagiotis Tsirkas, George Dounias

“…Real-time environmental data improved hazard detection, while Natural Language Processing (NLP)-based text mining identified stress-related indicators in worker reports. …”
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Quantitative and intelligent methods for economic forecasts (birth rate time series (Ntl)) by Katerina ZELA

“…Data mining, sentiment analysis, and natural language processing (NLP) techniques are used to analyze unstructured data sources. …”
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Construction of a knowledge graph for framework material enabled by large language models and its application by Xuefeng Bai, Song He, Yi Li, Yabo Xie, Xin Zhang, Wenli Du, Jian-Rong Li

“…In this study, by utilizing the natural language processing capabilities of large language models (LLMs), we have established a comprehensive knowledge graph (KG-FM). …”
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Functional Reorganizations of Brain Network in Prelingually Deaf Adolescents by Wenjing Li, Jianhong Li, Jieqiong Wang, Peng Zhou, Zhenchang Wang, Junfang Xian, Huiguang He

“…Widely distributed network was observed in deaf subjects, with increased connectivity between the limbic system and regions involved in visual and language processing, suggesting reinforcement of the processing for the visual and verbal information in deaf adolescents. …”
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Artificial Intelligence in Pathology and Molecular Biology: Integrating Intelligent Systems for Laboratory Optimization by Ștefan-Claudiu MIRESCU, Rebeca-Maria POPA

“…Emerging tools such as large-scale natural language processing models in pathology and molecular biology offer new automation and operational efficiency opportunities. …”
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Influence of knowledge management practices on librarians' competency in artificial intelligence in tertiary institutions of Lokoja, Kogi State, Nigeria by Sherif Kunle Yusuf, Abdullateef B. Oshinaike, Ismail O. Suleiman, Yinka Martins Omoniyi

“…However, limited proficiency in technical AI domains such as machine learning and natural language processing indicates a need for specialized training. …”
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A Chinese Named Entity Recognition Model of Maintenance Records for Power Primary Equipment Based on Progressive Multitype Feature Fusion by Lanfei He, Xuefei Zhang, Zhiwei Li, Peng Xiao, Ziming Wei, Xu Cheng, Shaocheng Qu

“…The emergence of natural language processing technology and deep learning methods provide a solution for unstructured text data. …”
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A probabilistic approach for building disease phenotypes across electronic health records by David Vidmar, Jessica De Freitas, Will Thompson, John M. Pfeifer, Brandon K. Fornwalt, Noah Zimmerman, Riccardo Miotto, Ruijun Chen

“…We compare the resulting phenotypes to those built using expert-curated logic from the literature, as well as an off-the-shelf natural language processing pipeline (Medspacy), using a curated sample of physician-reviewed labels for evaluation. …”
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ChatGPT in healthcare education: a double-edged sword of trends, challenges, and opportunities by Michael Agyemang Adarkwah, Samuel Anokye Badu, Evans Appiah Osei, Enoch Adu-Gyamfi, Jonathan Odame, Käthe Schneider

“…The scoping review, conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement, utilized search terms such as “ChatGPT,” “GPT,” “natural language processing,” “large language models,” and “health education”. …”
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Neural propensity for trait rumination in adolescents: A cross-sectional study with Voxel-Based Morphometry by Diane Joss, Anna O. Tierney, Kristina Pidvirny, Nigel M. Jaffe, Hannah Goodman, Nicholas J. Carson, Zev Schuman-Olivier, Christian A. Webb

“…We found higher trait rumination was associated with lower gray matter density in the left orbitofrontal cortex, inferior frontal gyrus, dorsolateral prefrontal gyrus, and bilateral temporal gyrus, which are involved in inhibitory control, language processing, executive functioning, and social cognitions, respectively. …”
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Innovative Sentiment Analysis and Prediction of Stock Price Using FinBERT, GPT-4 and Logistic Regression: A Data-Driven Approach by Olamilekan Shobayo, Sidikat Adeyemi-Longe, Olusogo Popoola, Bayode Ogunleye

“…By leveraging advanced natural language processing models like GPT-4 and FinBERT, alongside a traditional machine learning model, Logistic Regression, we aim to classify market sentiment, generate sentiment scores, and predict market price movements. …”
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Based on BERT-GPT-GNN converged architecture: intelligent generation engine for complex SQL queries in business intelligence by Shiwei Chu, Jie Liu

“…With the advancement of natural language processing technology, especially the application of deep learning generative models, text2SQL (Text to SQL) conversion has become possible. …”
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Complex-amplitude-modulated meta-device for optical image processing by Xinchen Jiang, Peicheng Lin, Yeang Zhang, Tao Tao, Yuan Du, Xuecou Tu, Ting Xu, Yan-qing Lu, Jun-long Kou

“…Nowadays, convolutional neural networks (CNNs) have become a powerful tool in areas such as object recognition and natural language processing. However, considering that electronic convolutional operation always contains million-level parameters and complex calculation process, it consumes a large number of computing resources and time. …”
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nBERT: Harnessing NLP for Emotion Recognition in Psychotherapy to Transform Mental Health Care by Abdur Rasool, Saba Aslam, Naeem Hussain, Sharjeel Imtiaz, Waqar Riaz

“…Leveraging the advancements in Natural Language Processing (NLP) and domain-specific Large Language Models (LLMs), this study introduces nBERT, a fine-tuned Bidirectional Encoder Representations from the Transformers (BERT) model integrated with the NRC Emotion Lexicon, to elevate emotion recognition in psychotherapy transcripts. …”
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BERT-based network for intrusion detection system by Yong Yang, Xing Peng

“…To address these challenges, this paper proposes a network IDS based on bidirectional encoder representations from transformers (BERT), which aims to leverage recent advances in the field of natural language processing (NLP) to enhance the performance of IDS. …”
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Translational analysis of data science and causal learning in real-world clinical evaluation of traditional Chinese medicine by Wei Yang, Danhui Yi, XiaoHua Zhou, Yuanming Leng

“…The methodology involves several key steps, including data integration and warehouse building, high-dimensional feature selection, the use of interpretable statistical machine learning algorithms, complex networks, and graph network analysis, knowledge mining techniques such as natural language processing and machine learning, observational study design, and the application of artificial intelligence tools to build an intelligent engine for translational analysis. …”
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Research on the construction and application of intelligent tutoring system for english teaching based on generative pre-training model by Weiguo Feng, Xinhan Lai, Xin Zhang, Xiaojing Fan, Yinxia Du

“…The application of the system is reflected in the integration of natural language processing technology and generative models to provide immediate feedback after learners complete the exercises, such as analyzing the grammar, vocabulary use and coherence of English passages and pointing out mistakes, giving suggestions and explanations for corrections, as well as providing intelligent tutoring in the form of dialogues, such as examples, comparisons and related exercises to enhance understanding in response to learners' questions about grammar points. …”
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LLM-Based Cyberattack Detection Using Network Flow Statistics by Leopoldo Gutiérrez-Galeano, Juan-José Domínguez-Jiménez, Jörg Schäfer, Inmaculada Medina-Bulo

“…This work makes significant contributions by introducing a novel methodology for adapting its original task from natural language processing to cybersecurity, achieved by transforming numerical network flow features into a unique abstract artificial language for the model input. …”
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Research on anti-error operation warning of power grid dispatching based on deep bidirectional gated recurrent neural network by Jinglong He, Dunlin Zhu, Sheng Yang, Jinming Liu, Tianyun Luo, Yuan Fu

“…This paper combines the principle of hierarchical data construction, summarizes the structured data of metadata operation tickets and maintenance plans of CIM model and OMS network frame model, and constructs the data warehouse of grid dispatching error prevention; based on the natural language processing (NLP) technology, key information and knowledge entities related to grid dispatching error prevention are automatically identified and extracted from the data warehouse. …”
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Syntax comprehension in Persian-speaking students with ADHD by Armon Massoodi, Akram Ahmadi, Hanieh Haghjou, Marjan Larimian, Mohammadhasan Mazandarani, Hossein-Ali Nikbakht, Michelle Pascoe, Saba Ahmadzadeh, Faezeh Koohestani

“…Abstract Background Syntax is one of the most intricate domains of language, and as such, offers valuable insights into language processing in typical and neurodiverse populations. …”
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