A soil temperature dataset based on random forest in the Three River Source Region by Xiaoqing Tan, Siqiong Luo, Hongmei Li, Zhuoqun Li, Qingxue Dong

“…Abstract Changes in soil temperature (ST) in the Three River Source Region (TRSR) significantly influence regional climate, ecology, and hydrological processes. However, existing models and reanalysis data exhibit considerable deviations in ST due to limitations in physical processes and parameterization schemes. …”
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Dataset of lithium-ion cell degradation under randomized current profiles for NMC, NCA, and LFP chemistriesFairdata by Mohsen Heydarzadeh, Teemu Toivola, Victor Vega-Garita, Eero Immonen

“…Furthermore, the Constant Current–Constant Voltage (CC–CV) charging protocol was implemented at 1C charging rates. The experiment entailed the collection of data on voltage, current, cell temperature, ambient temperature, and time, with a 1 Hz sampling rate, utilizing specialized equipment, Chroma 1107 system and temperature sensors. …”
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Cutting Fluid Effectiveness in the High-Speed Finish Machining of Inconel 718 Using a Whisker-Reinforced Ceramic Tool by Walid Jomaa, Monzer Daoud, Hamid Javadi, Philippe Bocher

“…It addresses this topic by providing a comprehensive understanding of the machinability of Inconel 718 under both dry and wet conditions through analytical friction modeling and a detailed analysis of the chip formation process. Two new indexes, named the Area Function (<i data-eusoft-scrollable-element="1">AF</i>) and the Shape Function (<i data-eusoft-scrollable-element="1">SF</i>), were derived to assess the serration intensity of the chips. …”
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Performance analysis, conceptual mapping, and emerging trends for Gum Arabic research: a comprehensive bibliometric analysis from 1916 to 2023 by Siddig Ibrahim Abdelwahab, Manal Mohamed Elhassan Taha, Abdalbasit Adam Mariod

“…The CVS and BibTex data files were analyzed using VOSviewer and Bibliometrix platforms, respectively. …”
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A novel method for a technology enhanced learning recommender system considering changing user interest based on neural collaborative filtering by Mohammad Mehran Lesan Sedgh, Alimohammad Latif, Sima Emadi

“…This study introduces an advanced recommender system for technology enhanced learning (TEL) that synergizes neural collaborative filtering, sentiment analysis, and an adaptive learning rate to address the limitations of traditional TEL systems. …”
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Recent advancements in automatic disordered speech recognition: A survey paper by Nada Gohider, Otman A. Basir

“…Firstly, we discuss the adequacy of impaired speech representation in existing datasets, in terms of the diversity of speech impairments, speech continuity, speech style, vocabulary, age group, and the environments of the data collection process. We argue that disordered speech is poorly represented in the existing datasets; thus, it is expected that several fundamental components needed for training ADSR models are absent. …”
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Optimization of corn drying methods: A comparative study of traditional varieties and modern hybrids by Matin Ana, Brandić Ivan, Jurišić Vanja, Tomić Ivana, Matin Božidar, Krička Tajana, Grubor Mateja, Pucko Filip, Jovičić Nives, Špelić Karlo

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A multi-source melt pool compilation for vision-based analytics applications in additive manufacturing by William Jabbour, Mutahar Safdar, Jiarui Xie, Yaoyao Fiona Zhao

“…., temperatures, gradients, rates), capture essential process patterns. However, the diversity of materials, process parameters, and sensing configurations across AM systems has limited standardization. …”
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ArtInsight: A detailed dataset for detecting deterioration in easel paintingsZenodo by Francisco M. Garcia-Moreno, Jose Manuel del Castillo de la Fuente, Luis Rodrigo Rodríguez-Simón, María Visitación Hurtado-Torres

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Revolutionizing classification: A novel gray level co-occurrence matrix and statistical feature-based segmentation approach by Abdelwahed Motwakel

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Pig and quail CpG methylation datasets from short and long read sequencing technologies by Paul Terzian, Céline Vandecasteele, Joanna Lledo, Rémy-Félix Serre, Jules Sabban, Claire Kuchly, Frédérique Pitel, Sophie Leroux, Julie Demars, Nathalie Iannuccelli, Katia Fève, Michèle Bonnet, Christine Gaspin, Denis Milan, Carole Iampietro, Christophe Klopp, Cécile Donnadieu

“…Data quality evaluation reveals high nucleotide quality scores for PacBio and short reads, robust alignment rates for long reads, and inter-method correlations in CpG methylation calling ranging from 0.76 to 0.99. …”
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Leveraging causality and explainability in digital agriculture by Ilias Tsoumas, Vasileios Sitokonstantinou, Georgios Giannarakis, Evagelia Lampiri, Christos Athanassiou, Gustau Camps-Valls, Charalampos Kontoes, Ioannis N. Athanasiadis

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Optimizing diabetes prediction with MLP neural networks and feature selection algorithm by Majd Mohammad A. Al-Hawamdeh

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Trends for the Segregation Practices of International Students: A Review of Higher Education in Turkey by Tugba Hosgorur, İlker Aysel

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The Mentoring Experiences of Early Career and Senior Academics in a Multicampus University in South Africa by Yaw Owusu-Agyeman

“…Materials/methods – Two different sets of semi-structured interview questions were administered to 16 ECAs and 10 senior academics across the university’s six faculties and three campuses. The data were examined using thematic analysis that involved a process of identifying, analyzing, organizing, describing, and reporting the themes that emerged from the dataset. …”
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A Conversation with ChatGPT about the Impact of the COVID-19 Pandemic on Education: Comparative Review Based on Human–AI Collaboration by Turgut Karakose, Murat Demirkol, Nurcihan Aslan, Hüseyin Köse, Ramazan Yirci

“…We evaluated the responses using a trichotomous rating system, and also calculated Cohen’s kappa values to assess inter-rater agreements for each category of evaluation. …”
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Deep learning-assisted arrhythmia classification using 2-D ECG spectrograms by Pinjala N Malleswari, Venkata krishna Odugu, T. J. V. Subrahmanyeswara Rao, T. V. N. L. Aswini

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Characteristics of Laser-Remelted Al–Ca–Cu–Mn (Zr) Alloys as a New Material for Additive Manufacturing by Nikolay V. Letyagin, Torgom K. Akopyan, Pavel A. Palkin, Stanislav O. Cherkasov, Anastasiya S. Fortuna, Alexandr B. Lyukhter, Ruslan Yu. Barkov

“…The size of the dendritic cells and eutectic particles is 10 times smaller (for solidification rates of ~200 K/s) than that of the as-cast state. …”
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Radar target detector based on banded sample autocovariance matrices by Chang Qu, Xiaoying Wang, Jing Chen, Junping Yin, Jiang Hu, Zhigen Gao

“…We model radar echo data within a coherent processing interval as stationary time series governed by linear random processes, enabling the application of a time series resampling approach to establish the autoregressive sieve bootstrap consistency of the banded sample autocovariance matrix (SACM) in the spectral norm. …”
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YOLOv5-RF: a deep learning method for tailings pond identification in high-resolution remote sensing images based on improved loss function by Weiming Zhang, Wenliang Jiang, Qiang Li, Yi Luo, Heng Zhang, Qisong Jiao, Yongsheng Li, Hongbo Jiang

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