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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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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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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Using Bootstrapping to Determine Artificial Neural Network Confidence Intervals—Case Study of Particleboard Internal Bond Determined from Production Data by Francisco García Fernández, Paloma de Palacios, Alberto García-Iruela, Luis García Esteban

“…To achieve this, multiple models were trained and validated using experimental data taken from real production processes. The results show that the methodology proposed can be used to obtain a high level of accuracy (determination coefficient R² = 0.96) and a coverage probability of 93%. …”
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Bayesian Denoising Algorithm for Low SNR Photon-Counting Lidar Data via Probabilistic Parameter Optimization Based on Signal and Noise Distribution by Qi Liu, Jian Yang, Yue Ma, Wenbo Yu, Qijin Han, Zhibiao Zhou, Song Li

“…This work provides a robust framework for adaptive parameter selection in low-SNR photon-counting Lidar applications.…”
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Determining Offshore Ocean Significant Wave Height (SWH) Using Continuous Land-Recorded Seismic Data: An Example from the Northeast Atlantic by Samaneh Baranbooei, Christopher J. Bean, Meysam Rezaeifar, Sarah E. Donne

“…This suggests a pathway to a complementary, exceptionally cost-effective, data-driven approach for future operational applications in real-time SWH determination.…”
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Dataset of subjective human responses and objective metrics related to motion sickness collected and computed on a winter research voyageSUNScholarData by Nicole Catherine Taylor, Anriëtte Bekker, Karel Kruger

“…Subjective human responses related to motion sickness were collected from 63 participants through paperbound questionnaires and, in parallel, from 15 participants through a mobile application that is part of a novel human cyber-physical system. …”
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Does Digital Village Construction Promote Agricultural Green Total Factor Productivity? An Empirical Study Based on China’s Provincial Panel Data by Lingling Xu, Danai Tanamee, Suppanunta Romprasert

“…Based on endogenous growth theory and technological innovation theory, this paper uses panel data from 30 provinces in China from 2011 to 2022 to investigate the impact of digital village construction on agricultural green total factor productivity (AGTFP). …”
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Water equivalent of snow retrieved from data of passive microwave scanning with the use of artificial neural networks over the Russian Federation territory by A. A. Volchek, D. A. Kostyuk, D. O. Petrov

“…Validation was performed using data from the same sources collected during 7 years (1992–1998). …”
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Evaluating time-lagged relationships between groundwater storage and river discharge using GRACE-based data: insights from the Potomac Basin by AJ Villaruel, Alimatou Seck, Cherie Schultz

“…While practical use of native GRACE data has been challenging for local, small-scale applications, this study demonstrates the utility of the GRACE-based GDI in forecasting low flows and informing regional water resource management decisions during droughts.…”
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