From Social to Academic: Associations and Predictions Between Different Types of Peer Relationships and Academic Performance Among College Students by Jiadong Tian, Jiali Lin, Dagang Li

“…We extracted and computed information on social relationships for roommates, classmates, members of the opposite sex, and others, based on real consumption data of 5597 freshmen students. The correlations between different types of peer relationships and academic performance were compared. …”
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Blockchain-Based Privacy-Preserving Authentication and Access Control Model for E-Health Users by Abdullah Alabdulatif

“…The advancement of e-health systems has resulted in substantial enhancements in healthcare delivery via effective data management and accessibility. The use of digital health solutions presents dangers to sensitive health information, including unauthorised access, privacy violations, and security weaknesses. …”
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Identifications of False Positives Amongst Sodium(I) Cations in Protein Three-Dimensional Structures—A Validation Approach Extendible to Any Alkali or Alkaline Earth Cation and to... by Oliviero Carugo

“…In the end, I think a global initiative, accessible to all volunteers and possibly overseen by the Protein Data Bank, should take the place of the numerous web servers and software applications by providing the community with a select few reliable and widely accepted tools.…”
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Carcinogenic health risks and water quality assessment of groundwater around lead–zinc mining areas of Ebonyi state Nigeria: a data-driven machine learning approach by Obinna Chigoziem Akakuru, Moses Oghenenyoreme Eyankware, Godwin O. Aigbadon, Ayatu Ojonugwa Usman, Alexander Iheanyi Opara, Kizito Ojochenemi Musa, Micheal Akaninyene Okon, Okechukwu Pius Aghamelu, Gabriel Ehriga Odesa, Ifeyinwa Juliana Ofoh, Annabel U. Obinna-Akakuru

“…The novelty of this study lies in its application of machine learning models to accurately predict contamination levels in groundwater around lead–zinc mining areas in Ebonyi State, Nigeria, providing a data-driven approach to enhance environmental monitoring and public health protection in a highly impacted region.…”
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Knowledge Graph Construction Method for Commercial Aircraft Fault Diagnosis Based on Logic Diagram Model by Huanchun Peng, Weidong Yang

“…Firstly, to avoid the inefficiency of logic diagram applications, an executable logic diagram model is established, which can perform mathematical analysis and achieve fault diagnosis and localization using operational data as input. …”
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Wireless Propagation Multipaths using Spectral Clustering and Three-Constraint Affinity Matrix Spectral Clustering by Jojo Blanza

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Integrating Sentinel-1 SAR and Machine Learning Models for Optimal Soil Moisture Sensor Placement at Catchment Scale by Yi Xie, Guotao Cui, Kaifeng Zheng, Guoping Tang

“…The proposed optimization approach offers a cost-effective strategy for collecting reliable in situ data, which is essential for improving the accuracy and applicability of remote sensing products in catchment-scale soil moisture monitoring.…”
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A CNN-Transformer Fusion Model for Proactive Detection of Schizophrenia Relapse from EEG Signals by Sana Yasin, Muhammad Adeel, Umar Draz, Tariq Ali, Mohammad Hijji, Muhammad Ayaz, Ashraf M. Marei

“…Existing methods typically rely on shallow architectures or unimodal data sources, resulting in limited sensitivity—particularly in the early stages of relapse. …”
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Spatio-Temporal Contact Mining for Multiple Trajectories-of-Interest by Adikarige Randil Sanjeewa Madanayake, Kyungmi Lee, Ickjai Lee

“…Various trajectory data mining techniques have been proposed to discover useful patterns to understand the behaviour of spatio-temporal trajectories. …”
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Deploying an Educational Mobile Robot by Dorina Plókai, Borsa Détár, Tamás Haidegger, Enikő Nagy

“…The research utilized the PlatypOUs mobile robot platform, equipped with odometry and inertial measurement units (IMUs), to gather comprehensive motion data. To enhance the reliability and interpretability of the data, advanced data processing techniques—such as moving averages, correlation analysis, and exponential smoothing—were employed. …”
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A Sub-Hourly Precipitation Dataset from a Pluviographic Network in Central Chile by Claudia Sangüesa, Alfredo Ibañez, Roberto Pizarro, Cristian Vidal-Silva, Pablo Garcia-Chevesich, Romina Mendoza, Cristóbal Toledo, Juan Pino, Rodrigo Paredes, Ben Ingram

“…This data descriptor presents a unique high-resolution rainfall dataset derived from 14 pluviograph stations across central Chile’s Mediterranean region, covering variable periods starting from between 1969 and 1992, up to 2009. …”
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Confidence-Based Fusion of AC-LSTM and Kalman Filter for Accurate Space Target Trajectory Prediction by Caiyun Wang, Jirui Zhang, Jianing Wang, Yida Wu

“…Experimental results on simulated radar-based noisy trajectory data demonstrate that the proposed method outperforms conventional algorithms, offering superior precision and robustness. …”
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Seismic Random Noise Attenuation Using DARE U-Net by Tara P. Banjade, Cong Zhou, Hui Chen, Hongxing Li, Juzhi Deng, Feng Zhou, Rajan Adhikari

“…Seismic data processing plays a pivotal role in extracting valuable subsurface information for various geophysical applications. …”
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Framework for effective PV system instrumentation focused on fault diagnosis by Edgar Hernando Sepúlveda-Oviedo, Bruno Estibals

“…A comprehensive framework for instrumentation in photovoltaic (PV) systems is proposed to enhance fault detection accuracy and diagnostic capability across varied PV applications. The framework is structured around four key components: (i) system design considerations, which include PV topology, scale, and sensor placement strategies to maximize detection sensitivity; (ii) data acquisition, detailing sensor selection, sampling rate optimization, and communication protocols adaptable to different configurations; (iii) data management and preprocessing, encompassing storage strategies, data quality control, and normalization pipelines; and (iv) a review of existing monitoring platforms, identifying their limitations for fault-specific diagnostics. …”
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Stable Diffusion-Driven Conditional Image Augmentation for Transformer Fault Detection by Wenlong Liao, Yiping Jiang, Rui Liu, Yun Feng, Yu Zhang, Jin Hou, Jun Wang

“…The proposed approach successfully addresses key data augmentation challenges in transformer fault detection applications.…”
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A Realistic Image Generation of Face From Text Description Using the Fully Trained Generative Adversarial Networks by Muhammad Zeeshan Khan, Saira Jabeen, Muhammad Usman Ghani Khan, Tanzila Saba, Asim Rehmat, Amjad Rehman, Usman Tariq

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World of Crayfish™: a web platform towards real-time global mapping of freshwater crayfish and their pathogens by Mihaela C. Ion, Caitlin C. Bloomer, Tudor I. Bărăscu, Francisco J. Oficialdegui, Nathaniel F. Shoobs, Bronwyn W. Williams, Kevin Scheers, Miguel Clavero, Frédéric Grandjean, Marc Collas, Thomas Baudry, Zachary Loughman, Jeremy J. Wright, Timo J. Ruokonen, Christoph Chucholl, Simone Guareschi, Bram Koese, Zsombor M. Banyai, James Hodson, Margo Hurt, Katrin Kaldre, Boris Lipták, James W. Fetzner, Tommaso Cancellario, András Weiperth, Jạnis Birzaks, Teodora Trichkova, Milcho Todorov, Maksims Balalaikins, Bogna Griffin, Olga N. Petko, Ada Acevedo-Alonso, Guillermo D’Elía, Karolina Śliwińska, Anatoly Alekhnovich, Henry Choong, Josie South, Nick Whiterod, Katarina Zorić, Peter Haase, Ismael Soto, Daniel J. Brady, Phillip J. Haubrock, Pedro J. Torres, Denis Şadrin, Pavel Vlach, Cüneyt Kaya, Sang Woo Jung, Jin-Young Kim, Xavier H.C. Vermeersch, Maciej Bonk, Radu Guiaşu, Muzaffer M. Harlioğlu, Jane Devlin, Irmak Kurtul, Dagmara Błońska, Pieter Boets, Hossein Masigol, Paul R. Cabe, Japo Jussila, Trude Vrålstad, David V. Beresford, Scott M. Reid, Jiří Patoka, David A. Strand, Ali S. Tarkan, Frédérique Steen, Thomas Abeel, Matthew Harwood, Samuel Auer, Sandor Kelly, Ioannis A. Giantsis, Rafał Maciaszek, Maria V. Alvanou, Önder Aksu, David M. Hayes, Tadashi Kawai, Elena Tricarico, Adroit Chakandinakira, Zanethia C. Barnett, Ştefan G. Kudor, Andreea E. Beda, Lucian Vîlcea, Alexandru E. Mizeranschi, Marian Neagul, Anton Licz, Andra D. Cotoarbă, Adam Petrusek, Antonín Kouba, Christopher A. Taylor, Lucian Pârvulescu

“…The database offers open access to the data through specialized standard geospatial services (Web Map Service, Web Feature Service) enabling users to view, embed, and download customizable outputs for various applications. …”
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A Multi-Scale Hybrid Scene Geometric Similarity Measurement Method Using Heterogeneous Graph Neural Network by Chongya Gong, Tinghua Ai, Shiyu Chen, Tianyuan Xiao, Huafei Yu

“…Due to the differing dimensionality of these various types of geographic data, traditional geometric similarity measurement methods that rely on a single type of feature are not applicable to mixed scenes. …”
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Multimodal behavior recognition for dairy cow digital twin construction under incomplete modalities: A modality mapping completion network approach by Yi Zhang, Yu Zhang, Meng Gao, Xinjie Wang, Baisheng Dai, Weizheng Shen

“…This approach enhances the robustness and applicability of cow behavior recognition based on multimodal data in situations of modality loss, resolving practical issues in the development of digital twins for cow behavior and providing comprehensive support for the intelligent and precise management of farms.…”
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On a Simplified Approach to Achieve Parallel Performance and Portability Across CPU and GPU Architectures by Nathaniel Morgan, Caleb Yenusah, Adrian Diaz, Daniel Dunning, Jacob Moore, Erin Heilman, Calvin Roth, Evan Lieberman, Steven Walton, Sarah Brown, Daniel Holladay, Marko Knezevic, Gavin Whetstone, Zachary Baker, Robert Robey

“…This paper presents software advances to easily exploit computer architectures consisting of a multi-core CPU and CPU+GPU to accelerate diverse types of high-performance computing (HPC) applications using a single code implementation. The paper describes and demonstrates the performance of the open-source C++ <b>mat</b>rix and <b>ar</b>ray (MATAR) library that uniquely offers: (1) a straightforward syntax for programming productivity, (2) usable data structures for data-oriented programming (DOP) for performance, and (3) a simple interface to the open-source C++ Kokkos library for portability and memory management across CPUs and GPUs. …”
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