Enhancing employee job satisfaction through organizational climate and employee happiness at work: a mediated–moderated model by Yu Jianchun

“…The growing integration of artificial intelligence applications (AIAs)—like ChatGPT—into the learning environment raises questions about AIAs’ moderating role in the relationship between EmH at work and EJoS. …”
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USE OF MODERN TECHNICAL LEARNING DEVICES BY STUDENTS DURING THE EDUCATIONAL PROCESS by O.Yu. Andriyanova, L.F. Kaskova, L.I. Amosova, P.I. Yatsenko, N.A. Morgun, I.Yu. Vashchenko, A.V. Artem'ev

“… The article presents data from a survey of applicants for education and describes the variability of the use of gadgets in the educational process at different stages of learning. …”
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Search for Optimal MRI Protocol for the Diagnosis of Vaginal Tumor by S. P. Aksenova, N. V. Nudnov, V. А. Solodkiy

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ABI-Net: Attention-Based Inception U-Net for Brain Tumor Segmentation From Multimodal MRI Images by Evans Kipkoech Rutoh, Qin ZhiGuang, Joyce C. Bore-Norton, Noor Bahadar

“…Magnetic Resonance Imaging (MRI) is widely used for glioma evaluation, but manual segmentation is impractical due to the large data volume. Automated techniques are necessary for precise clinical measurements. …”
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Performance of the Surface Water and Ocean Topography (SWOT) Mission for Monitoring Small Lakes in West Africa by Felix Girard, Laurent Kergoat, Ibrahim Mainassara, Maxime Wubda, Edwige Dayangnewende Nikiema, Amadou Abdourhamane Toure, Julien Renou, Maxime Vayre, Nicolas Taburet, Nicolas Picot, Manuela Grippa

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Benchmarking Point Cloud Feature Extraction with Smooth Overlap of Atomic Positions (SOAP): A Pixel-Wise Approach for MNIST Handwritten Data by Eiaki V. Morooka, Yuto Omae, Mika Hämäläinen, Hirotaka Takahashi

“…In this study, we introduce a novel application of the Smooth Overlap of Atomic Positions (SOAP) descriptor for pixel-wise image feature extraction and classification as a benchmark for SOAP point cloud feature extraction, using MNIST handwritten digits as a benchmark. …”
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Quality by Design-Based Methodology for Development of Titanate Nanotubes Specified for Pharmaceutical Applications Based on Risk Assessment and Artificial Neural Network Modeling by Ranim Saker, Géza Regdon, Krisztina Ludasi, Tamás Sovány

“…Their implementation in pharmaceutical applications is of huge interest nowadays as it could be of fundamental importance in the development of the pharmaceutical industry and therapeutic systems. …”
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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

“…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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ML-ROM wall shear stress prediction in patient-specific vascular pathologies under a limited clinical training data regime. by Chotirawee Chatpattanasiri, Federica Ninno, Catriona Stokes, Alan Dardik, David Strosberg, Edouard Aboian, Hendrik von Tengg-Kobligk, Vanessa Díaz-Zuccarini, Stavroula Balabani

“…However, these methods often face challenges of high computational cost and long processing times. Data-driven approaches such as Reduced Order Modeling (ROM) and Machine Learning (ML) are increasingly being explored alongside CFD to advance biomechanical research and application. …”
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Exploring the Link Between Energy Consumption, Economic Growth, and Ecological Footprint in the Major Importers of Poland Energy: A Panel Data Analysis by Mohammad Tawfiq Noorzai, Aneta Bełdycka-Bórawska, Aziz Kutlar, Tomasz Rokicki, Piotr Bórawski

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A detailed comparison of analysis processes for MCC-IMS data in disease classification-Automated methods can replace manual peak annotations. by Salome Horsch, Dominik Kopczynski, Elias Kuthe, Jörg Ingo Baumbach, Sven Rahmann, Jörg Rahnenführer

“…<h4>Method</h4>We combine a large number of modern methods for peak detection, peak clustering, and multivariate classification into analysis pipelines for raw MCC-IMS data. We evaluate all combinations on three different real datasets in an unbiased cross-validation setting. …”
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Enhancing Customer Segmentation Through Factor Analysis of Mixed Data (FAMD)-Based Approach Using K-Means and Hierarchical Clustering Algorithms by Chukwutem Pinic Ufeli, Mian Usman Sattar, Raza Hasan, Salman Mahmood

“…This study addresses this limitation by introducing a novel application of Factor Analysis of Mixed Data (FAMD) for dimensionality reduction, integrated with K-means and Agglomerative Clustering for robust customer segmentation. …”
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Different frequencies to estimate bone mineral content from raw bioelectrical impedance data in adolescent soccer players: a critical analysis by Marcus Vinicius de Oliveira Cattem, Josely Correa Koury

“…This study examined the relationships between BMC and raw MF-BIA data at different frequencies.MethodsThe MF-BIA (SECA 515®) device obtained raw bioelectrical data at 5, 50, and 500 kHz. …”
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Spatial Characteristics and Connectivity of Urban Floods in Eastern China: Insights From a Newly Established Data Set During 2010–2020 by Zhenghui Lu, Linhao Zhong, Yang Yang, Xinlei Han, Xiaoling Jiang, Zitong Shi, Dabang Jiang

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A Cross-Machine Intelligent Fault Diagnosis Method with Small and Imbalanced Data Based on the ResFCN Deep Transfer Learning Model by Juanru Zhao, Mei Yuan, Yiwen Cui, Jin Cui

“…Furthermore, the temporal characteristics of time-series monitoring data are often inadequately considered in existing methods. …”
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Role, function, and expectations of research funding committees: Perspectives from committee members [version 2; peer review: 1 approved, 2 approved with reservations, 1 not approv... by Amanda Blatch-Jones, Cherish Boxall, Katie Meadmore

“…Four areas were considered important to the expectations and role of funding committee members, with reviewing, critically appraising, and discussing applications (n=44); and being fair, objective, and unbiased (n=27) being the most common responses. …”
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Knowledge and Perceptions of Artificial Intelligence among Dental Students in Tunisia by Hanen Boukhris, Kawther Salah, Hajer Zidani, Ghada Bouslama, Souha Ben Youssef

“…The questionnaire gathered sociodemographic data, assessed knowledge of AI principles and applications, and explored students&rsquo; perceptions of AI in clinical practice and its integration into dental education.Results: Among the 502 participants, 49% reported having basic knowledge of AI, and 48% were familiar with its applications in dentistry. …”
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Scientific Guidance on the criteria for the evaluation and on the preparation of applications for the safety assessment of post‐consumer mechanical PET recycling processes intended... by EFSA Panel on Food Contact Materials, Enzymes and Processing Aids (CEP), Claude Lambré, José Manuel Barat Baviera, Claudia Bolognesi, Andrew Chesson, Pier Sandro Cocconcelli, Riccardo Crebelli, David Michael Gott, Konrad Grob, Marcel Mengelers, Alicja Mortensen, Gilles Rivière, Inger‐Lise Steffensen, Christina Tlustos, Henk Van Loveren, Laurence Vernis, Holger Zorn, Vincent Dudler, Maria Rosaria Milana, Constantine Papaspyrides, Maria de Fátima Tavares Poças, Gianluca Colombo, Daniele Comandella, Alexandros Lioupis, Remigio Marano, Irene Pilar Munoz Guajardo, Elisa Savini, Vasiliki Sfika, Emmanouil Tsochatzis, Katharina Volk, Evgenia Lampi

“…On the basis of the submitted data, EFSA will assess the safety of the mechanical PET recycling process.…”
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An evaluation of menstrual health apps’ functionality, inclusiveness, and health education information by Emma Bucher, Callie Sharkey, Abby Henderson, Briette Basaran, Sarah Meyer, Chen X. Chen

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A New Drought Index Study that Takes into Account a Multi-timescale and the Effects of Evapotranspiration——Taking Yunnan as an Example by Qiang ZHANG, Xukai ZOU, Xianyan CHEN, Lin ZHAO, Tingting LI, Zhonghua QIAN

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