Association between psychiatric symptoms with multiple peripheral blood sample test: a 10-year retrospective study by Jianqing Qiu, Cheng Yu, Yalan Kuang, Yao Hu, Ting Zhu, Ting Zhu, Ke Qin, Wei Zhang, Wei Zhang, Wei Zhang, Wei Zhang

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Did Short‐Term Preseismic Crustal Deformation Precede the 2011 Great Tohoku‐Oki Earthquake? An Examination of Stacked Tilt Records by Hitoshi Hirose, Aitaro Kato, Takeshi Kimura

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A Social Media Sentiment Analysis Using Machine Learning Approaches by Noor Salah Irzooqi Al-Agele, Didem KIVANÇ TÜRELİ

“…With consideration for the most suitable models for precisely classifying sentiments within social media data, this study aims to evaluate the efficacy of machine learning algorithms in analyzing sentiment text that people post or comment on Twitter, thus bridging the research gap in the analysis of sentiment in an understudied domain. a set of machine learning algorithms was applied along with feature extraction methods, including TF-IDF and Natural Language Processing (NLP). …”
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Transfer learning based hybrid feature learning framework for enhanced skin cancer diagnosis using deep feature integration by Maridu Bhargavi, Sivadi Balakrishna

“…The pre-processing techniques such as adaptive thresholding for hair artifact removal, image inpainting to remove occlusions, and data augmentation for class balancing, were applied to enhance the quality of inputs. …”
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Large language models in critical care by Laurens A. Biesheuvel, Jessica D. Workum, Merijn Reuland, Michel E. van Genderen, Patrick Thoral, Dave Dongelmans, Paul Elbers

“…The advent of chat generative pre-trained transformer (ChatGPT) and large language models (LLMs) has revolutionized natural language processing (NLP). These models possess unprecedented capabilities in understanding and generating human-like language. …”
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Factors associated with male recruitment in a multi-site randomized behavioral clinical trial targeting the metabolic syndrome: analysis of screening and recruitment data from the... by Chen Yeh, Melissa M. Crane, Bryce Daniels, Barbara Lohse, Kelly Karavolos, Tami Olinger, Jacinda Nicklas, Lynda H. Powell, Sumihiro Suzuki

“…Results Males who showed interest in the trial were more likely to be self-aware of their current health risk. …”
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Multiwavelength Campaign Observations of a Young Solar-type Star, EK Draconis. II. Understanding Prominence Eruption through Data-driven Modeling and Observed Magnetic Environment by Kosuke Namekata, Kai Ikuta, Pascal Petit, Vladimir S. Airapetian, Aline A. Vidotto, Petr Heinzel, Jiří Wollmann, Hiroyuki Maehara, Yuta Notsu, Shun Inoue, Stephen Marsden, Julien Morin, Sandra V. Jeffers, Coralie Neiner, Rishi R. Paudel, Antoaneta A. Avramova-Boncheva, Keith Gendreau, Kazunari Shibata

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Revealing the Mineralogical and Petrographic Signs of Fluid-Related Processes in the Kelebia Basement Area (Szeged Basin, S Hungary): A Case Study of Alpine Prograde Metamorphism i... by Andrea Varga, Elemér Pál-Molnár, Béla Raucsik

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Generative AI-powered multilingual ASR for seamless language-mixing transcriptions by Puspita Dash, Sruthi Babu, Logeswari Singaravel, Devadarshini Balasubramanian

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Pathomorphological features of ІgG4-releated sclerosing disease of the stomach: case report by O. O. Dyadyk, Y. I. Beketova, N. M. Gorbokon, M. D. Ivanova

“…Since the first description in the middle of the 1990’s of last century, it has been steadily increasing the number of literary data concerning IgG4-related disease. The process involved more organs and tissues with predominance of pancreas, salivary glands, and lymph nodes affection. …”
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Financial Sentiment Analysis and Classification: A Comparative Study of Fine-Tuned Deep Learning Models by Dimitrios K. Nasiopoulos, Konstantinos I. Roumeliotis, Damianos P. Sakas, Kanellos Toudas, Panagiotis Reklitis

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Enhanced Spatiotemporal Landslide Displacement Prediction Using Dynamic Graph-Optimized GNSS Monitoring by Jiangfeng Li, Jiahao Qin, Kaimin Kang, Mingzhi Liang, Kunpeng Liu, Xiaohua Ding

“…This study introduces an enhanced prediction framework that integrates multi-scale signal processing with dynamic, geology-aware graph modeling. …”
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Impact of Chronic Kidney Disease on the Processes of Care and Long‐Term Mortality of Non–ST‐Segment–Elevation Myocardial Infarction: A Nationwide Cohort Study and Long‐Term Follow‐... by Nicholas Weight, Saadiq Moledina, Mohsin Ullah, Harindra C. Wijeysundera, Simon Davies, Nicholas W. S. Chew, Claire Lawson, Safi U. Khan, Chris P. Gale, Muhammad Rashid, Mamas A. Mamas

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Digital transformation in market research in Peru by Paulo César Callupe-Cueva, Augusto Aliaga-Miranda, Luis Ricardo Flores-Vilcapoma, Christian Efrain Raqui-Ramirez, Bernabé Teodoro Vila-Hinojo, Wilmar Salvador Chavarry-Becerra

“… Goal: This study explores the impact of digital transformation on market research companies in Huancayo, Peru, focusing on three critical dimensions: process optimization, technological innovation, and customer empowerment. …”
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Assessing the adversarial robustness of multimodal medical AI systems: insights into vulnerabilities and modality interactions by Ekaterina Mozhegova, Asad Masood Khattak, Adil Khan, Roman Garaev, Bader Rasheed, Muhammad Shahid Anwar

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Understanding mushroom farm environment using TinyML-based monitoring devices by Segun Adebayo, Halleluyah Oluwatobi Aworinde, Oluranti Olayinka Olufemi, Christian Okechukwu Osueke, Abidemi Emmanuel Adeniyi, Oluwasegun Julius Aroba

“…TinyML-enabled microcontroller processes the data locally, autonomously controlling actuators like humidifiers, heaters, and fans hence maintaining the best conditions for plants. …”
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Large Language Models in Genomics—A Perspective on Personalized Medicine by Shahid Ali, Yazdan Ahmad Qadri, Khurshid Ahmad, Zhizhe Lin, Man-Fai Leung, Sung Won Kim, Athanasios V. Vasilakos, Teng Zhou

“…LLMs possess the capability to analyze the scientific literature and genomic data by comprehending and producing human-like text. …”
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Adolescents’ internalizing and externalizing symptom trajectories in relation to early-life parental depressive symptoms by Zsófia Csajbók, Pavla Brennan Kearns

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Improving the efficiency of the formation of professional competencies Masters in “Information Security” based on the use o CASE-technologies by A. V. Gavrilov, V. A. Sizov

“…The current approaches to assessing the risk of an enterprise are based on the formation of a register of its information resources necessary for the further processing of risks. Adequate assessment of the value of a resource is impossible without a correct understanding of the semantics of this resource and its role in the implemented business processes. …”
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Evaluation of parent reminder-recall letters to promote human papillomavirus vaccination by Joan M. Griffin, Xuan Zhu, Wei Yi Kong, Robert M. Jacobson, Kathy L. MacLaughlin, Jennifer L. St. Sauver, Jeph Herrin, Gregory D. Jenkins, Nicole L. Larson, Lila J. Finney Rutten

“…Subsequently, we conducted a process evaluation to assess the mechanisms of the letter's effectiveness. …”
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