Development of accurate and stable primary standard gas mixtures for global atmospheric acetonitrile monitoring: evaluating adsorption loss and long-term stability by B. Tsogt, B. Tsogt, J. H. Kang, S.-Y. Oh, S. Lee, S. Lee

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Job recommender systems: a systematic literature review, applications, open issues, and challenges by Duygu Çelik Ertuğrul, Selin Bitirim

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Lexical algorithmic resistance: Tactics of deceiving Arabic content moderation algorithms on Facebook by Reham Hosny, Mohamed A Nasef

“…It has since escalated, becoming increasingly pronounced with the ongoing war that commenced on 7 October 2023, known as the ‘Operation Al-Aqsa Flood’ and continues to unfold to the present day. To achieve this aim, Facebook data scraping was used to extract comprehensive insights on the most frequent lexical resistance techniques, the most used resistance keywords, the geographical mapping of users and the related socio-political context. …”
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VP-SFDA: Visual Prompt Source-Free Domain Adaptation for Cross-Modal Medical Image by Yixin Chen, Yan Wang, Zhaoheng Xie

“…Background: Source-free unsupervised domain adaptation (SFUDA) methods aim to address the challenge of domain shift while preserving data privacy. …”
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A Method for Landslide Deformation Detection Based on Projection Surface Element Matching of 3D Models by Mengxi Sun, Hui Cao, Yansong Duan

“…Through this research, we aim to provide critical data support and a scientific foundation for the prevention of landslide disasters and the management of geological hazards. …”
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Beyond the cybernetic loop: smart” pain technology in a recursive society by Benjamin Lipp, Stephen Hilgartner

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High-resolution temperature profiling in the Π Chamber: variability of statistical properties of temperature fluctuations by R. Grosz, K. K. Chandrakar, R. A. Shaw, J. C. Anderson, W. Cantrell, S. P. Malinowski

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Deep learning and statistical approaches for area-based PM2.5 forecasting in Hat Yai, Thailand by Kasikrit Damkliang, Jularat Chumnaul

“…Abstract PM2.5 pollution poses a significant environmental and health concern across Southeast Asia, including Thailand. This study aims to forecast area-based PM2.5 concentrations in Hat Yai city, Songkhla province, using daily data collected from the Hat Yai monitoring station from 2013 to 2023. …”
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Exploring the future of privacy-preserving heart disease prediction: a fully homomorphic encryption-driven logistic regression approach by Vankamamidi S. Naresh, Sivaranjani Reddi

“…Abstract Homomorphic Encryption (HE) offers a revolutionary cryptographic approach to safeguarding privacy in machine learning (ML), especially in processing sensitive healthcare data. This study aims to address the critical issue of privacy-preserving heart disease prediction by developing a novel Homomorphic Encryption-Driven Logistic Regression (HELR) framework, leveraging the Cheon-Kim-Kim-Song (CKKS) encryption scheme. …”
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Optimizing public health management with predictive analytics: leveraging the power of random forest by Hongman Wang, Yifan Song, Yifan Song, Hua Bi

“…By leveraging ensemble learning techniques and multi-factor analysis, this study aims to identify and quantify the relative contributions of key health indicators to risk assessment. …”
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Discretization-independent surrogate modeling of physical fields around variable geometries using coordinate-based networks by James Duvall, Karthik Duraisamy

“…Surrogate modeling techniques aim to decrease computational expense while retaining dominant solution features and characteristics. …”
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AI-driven biomedical perspectives on mental fatigue in the post-COVID-19 Era: trends, research gaps, and future directions by Saba Parveen, Md Belal Bin Heyat, Umair Tariq, Faijan Akhtar, Hafiz Muhammad Zeeshan, Seth Christopher Yaw Appiah, Shang-Ming Zhou, Huang Lei

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Determinating clusters with a higher proportion of long-term care discharges from hospitals: a nationwide Portuguese study using clustering and decision tree methods by Ana Carreira, Diogo Martinho, Vítor Crista, Júlio Souza, Filipa Santos Martins, Goreti Marreiros, Alberto Freitas, João Vasco Santos

“…Methods This nationwide Portuguese study used inpatient data from Portuguese hospitals between 2012 and 2017. …”
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Agenda setting for health equity assessment through the lenses of social determinants of health using machine learning approach: a framework and preliminary pilot study by Maryam Ramezani, Mohammadreza Mobinizadeh, Ahad Bakhtiari, Hamid R. Rabiee, Maryam Ramezani, Hakimeh Mostafavi, Alireza Olyaeemanesh, Ali Akbar Fazaeli, Alireza Atashi, Saharnaz Sazgarnejad, Efat Mohamadi, Amirhossein Takian

“…This study aims to develop a framework utilizing ML to analyze health system data and set agendas for health equity interventions, focusing on social determinants of health (SDH). …”
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Quantitative estimate of several sources of uncertainty in drone-based methane emission measurements by T. H. Mohammadloo, M. Jones, B. van de Kerkhof, K. Dawson, B. J. Smith, S. Conley, A. Corbett, A. Corbett, R. IJzermans

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Assimilation of volcanic sulfur dioxide products from IASI and TROPOMI into the chemical transport model MOCAGE: case study of the 2021 La Soufrière Saint Vincent eruption with the... by M. Bacles, J. Améric, V. Guidard

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Can the remote sensing of combustion phase improve estimates of landscape fire smoke emission rate and composition? by F. Owsley-Brown, F. Owsley-Brown, F. Owsley-Brown, M. J. Wooster, M. J. Wooster, M. J. Wooster, M. J. Grosvenor, M. J. Grosvenor, M. J. Grosvenor, Y. Liu, Y. Liu

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Improved simulation of thunderstorm characteristics and polarimetric signatures with LIMA two-moment microphysics in AROME by C. David, C. Augros, B. Vié, F. Bouttier, T. Le Bastard

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Explainable Aspect-Based Sentiment Analysis Using Transformer Models by Isidoros Perikos, Athanasios Diamantopoulos

“…An aspect-based sentiment analysis (ABSA) aims to perform a fine-grained analysis of text to identify sentiments and opinions associated with specific aspects. …”
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Are Natural Language Processing methods applicable to EPS forecasting in Poland? by Wojciech Kurylek

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