THE IMPACT OF DIGITAL DEVICES ON LANGUAGE DEVELOPMENT IN EARLY CHILDHOOD – A SYSTEMATIC REVIEW by Nevena MALINCHEVA, Katerina SHTEREVA

“…The studies reveal that an early and prolonged exposure to digital devices leads to structural changes in the brain, particularly in areas responsible for cognitive control and language processing. This results in long-term consequences, including difficulties in learning and socialization. …”
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Smart Agri-Region and Value Engineering by Raúl Pastor, Pablo G. Rodriguez, Antonio Lecuona, Juan Pedro Cortés

“…Model-Based Systems Engineering (MBSE) and generative Artificial Intelligence (AI), combined with Natural Language Processing (NLP), are expected to help Knowledge Management (KM) in engineering and governance to supervise value engineering and their relationship with other metrics. …”
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A strategy for network multi-layer information fusion based on multimodel in user emotional polarity analysis by Ronghua Wang, Peng Zhuang

“…Emotional analysis is an important research direction in natural language processing, which aims to automatically recognize and understand emotions and emotional polarity in texts. …”
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Climate adaptation plans and “green jobs”: challenges for implementing a responsive, multi-skilled workforce in Worcester, Massachusetts by Varun Bhat, Sarah Strauss

“…We conduct this analysis with the help of natural language processing and qualitative coding in the City of Worcester, Massachusetts, USA using job data from Indeed and semi-structured interviews. …”
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State of the Art and Future Directions of Small Language Models: A Systematic Review by Flavio Corradini, Matteo Leonesi, Marco Piangerelli

“…Small Language Models (SLMs) have emerged as a critical area of study within natural language processing, attracting growing attention from both academia and industry. …”
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SENTIMENT ANALYSIS WITH LONG-SHORT TERM MEMORY (LSTM) AND GATED RECURRENT UNIT (GRU) ALGORITHMS by Muhammad Nazhif Abda Putera Khano, Dewi Retno Sari Saputro, Sutanto Sutanto, Antoni Wibowo

“…Recurrent Neural Network (RNN) is one of the Natural Language Processing (NLP) algorithms that is used in sentiment analysis. …”
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Le Petit Prince (LPP) multi-talker: Naturalistic 7 T fMRI and EEG dataset by Qixuan Wang, Qian Zhou, Zhengwu Ma, Nan Wang, Tianyu Zhang, Yaoyao Fu, Jixing Li

“…While these studies have been invaluable for advancing our understanding of speech and language processing in the brain, they do not capture the complexities of real-world multi-talker environments. …”
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Identifying children’s environmental health risks, needs, misconceptions, and opportunities for research translation using social media by Andrew Larkin, Megan MacDonald, Dixie Jackson, Molly L. Kile, Perry Hystad

“…As part of the Advancing Science, Practice, Programming, and Policy in Research Translation for Children’s Environmental Health (ASP3IRE) center, machine learning, geographic information systems (GIS), and natural language processing to analyze more than 650 million posts related to children’s environmental health are being used. …”
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Machine Learning Meets Language Learning: The Transformative Potential of Artificial Intelligence in English Language Instruction by Praveena T, Anupama K

“…The discernment of AI tutors and virtual assistants, endowed with advanced natural language processing and machine learning capabilities, evinces promise in furnishing students with personalized and adaptive learning experiences. …”
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Fishing operation type recognition based on multi-branch convolutional neural network using trajectory data by Bohui Jiang, Weifeng Zhou

“…To address this, this study proposes a novel framework integrating Geohash-based geocoding with embedding techniques inspired by natural language processing to extract spatiotemporal features from trajectory sequences. …”
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Analyzing Diagnostic Reasoning of Vision–Language Models via Zero-Shot Chain-of-Thought Prompting in Medical Visual Question Answering by Fatema Tuj Johora Faria, Laith H. Baniata, Ahyoung Choi, Sangwoo Kang

“…Medical Visual Question Answering (MedVQA) lies at the intersection of computer vision, natural language processing, and clinical decision-making, aiming to generate accurate responses from medical images paired with complex inquiries. …”
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Philosophical Review of Artificial Intelligence for Society 5.0 by Ggaliwango, Marvin, Tamale, Micheal, Kanagwa, Benjamin, Jjingo, Daudi

“…Today, AI has reached new heights and has a wide range of applications, from playing complex games to language processing, speech recognition, and facial recog nition [1–3]. …”
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Evaluation of the accuracy of ChatGPT-4 and Gemini’s responses to the World Dental Federation’s frequently asked questions on oral health by Aysenur Arpaci, Asel Usdat Ozturk, Ismail Okur, Sanaz Sadry

“…Large language models (LLMs) and natural language processing (NLP) are pivotal to this transformation. …”
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Label-Guided Data Augmentation for Chinese Named Entity Recognition by Miao Jiang, Honghui Chen

“…Chinese named entity recognition (NER) is a fundamental natural language processing (NLP) task that involves identifying and categorizing entities in text. …”
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Large Language Models and the Elliott Wave Principle: A Multi-Agent Deep Learning Approach to Big Data Analysis in Financial Markets by Michał Wawer, Jarosław A. Chudziak, Ewa Niewiadomska-Szynkiewicz

“…This paper presents ElliottAgents, a multi-agent system that combines the Elliott wave principle with LLMs, showcasing the application of deep reinforcement learning (DRL) and natural language processing (NLP) in financial analysis. By integrating retrieval-augmented generation (RAG) and deep reinforcement learning (DRL), the system processes vast amounts of market data to identify Elliott wave patterns and generate actionable insights. …”
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Quantifying Gender Bias in Large Language Models Using Information-Theoretic and Statistical Analysis by Imran Mirza, Akbar Anbar Jafari, Cagri Ozcinar, Gholamreza Anbarjafari

“…Large language models (LLMs) have revolutionized natural language processing across diverse domains, yet they also raise critical fairness and ethical concerns, particularly regarding gender bias. …”
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A Study of NLP-Based Speech Interfaces in Medical Virtual Reality by Mohit Nayak, Jari Kangas, Roope Raisamo

“…We developed a speech-based assistant within a VR application for maxillofacial implant planning, leveraging natural language processing (NLP) to interpret user intentions and to execute tasks such as obtaining surgical equipment or answering questions related to the VR environment. …”
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GDPR and Large Language Models: Technical and Legal Obstacles by Georgios Feretzakis, Evangelia Vagena, Konstantinos Kalodanis, Paraskevi Peristera, Dimitris Kalles, Athanasios Anastasiou

“…Large Language Models (LLMs) have revolutionized natural language processing but present significant technical and legal challenges when confronted with the General Data Protection Regulation (GDPR). …”
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Constructing the Mandarin Phonological Network: Novel Syllable Inventory Used to Identify Schematic Segmentation by Karl D. Neergaard, Chu-Ren Huang

“…This study illustrates how network science methods add to those of psycholinguistics to give insight into language processing that was not previously attainable.…”
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EmoBERTa–CNN: Hybrid Deep Learning Approach Capturing Global Semantics and Local Features for Enhanced Emotion Recognition in Conversational Settings by Mingfeng Zhang, Aihe Yu, Xuanyu Sheng, Jisun Park, Jongtae Rhee, Kyungeun Cho

“…Emotion recognition in conversations is a key task in natural language processing that enhances the quality of human–computer interactions. …”
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