Demonstration of Smart Railway Level Crossing Design and Validation Using Data from Metro Rail, South Africa by D.C. Tshaai, A.K. Mishra, Jan. Pidanic

“…Thus, attributes with the highest impact on the railway level crossing closing time were extracted from the data analysis of rail-road level crossings on the southern corridor of the Western Cape metro rail. …”
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A computational study of gene expression patterns in head and neck squamous cell carcinoma using TCGA data by Saqib Rauf, Sami Ullah, Muhammad Adil Abid, Asad Ullah, Gullzar Khan, Ainee Urooj Khan, Gulzar Ahmad, Muhammad Ijaz, Sidra Ahmad, Sulaiman Faisal

“…Results: Our analysis identified most significantly differentially expressed genes and explored their established cellular functions as well as their potential involvement in tumor development. …”
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Intellectual property rights, renewable energy innovation, and carbon emission reduction: Insights from China's provincial data by Haoqiang Mao, Zhixin Qiao, Gang Chen, Yasir Khan, Babur Khan

“…This research investigates how China's carbon reduction initiatives relate to renewable energy technological innovation (RETI) while focusing on protection policies for intellectual property rights (IPR). The analysis utilizes 30 Chinese provincial data points from 2014 through 2023 to determine IPR protection's influence on RETI carbon emission reduction effectiveness. …”
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Characterization of Power System Oscillation Modes Using Synchrophasor Data and a Modified Variational Decomposition Mode Algorithm by José Oscullo Lala, Nathaly Orozco Garzón, Henry Carvajal Mora, Diego Echeverria, José Vega-Sánchez, Takaaki Ohishi

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Crashing Fault Residence Prediction Using a Hybrid Feature Selection Framework from Multi-Source Data by Xiao Liu, Xianmei Fang, Song Sun, Yangchun Gao, Dan Yang, Meng Yan

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Automated Processing of Imaging Data through Multi-tiered Classification of Biological Structures Illustrated Using Caenorhabditis elegans. by Mei Zhan, Matthew M Crane, Eugeni V Entchev, Antonio Caballero, Diana Andrea Fernandes de Abreu, QueeLim Ch'ng, Hang Lu

“…Increasingly, the capacity for high-throughput experimentation provided by new imaging modalities, contrast techniques, microscopy tools, microfluidics and computer controlled systems shifts the experimental bottleneck from the level of physical manipulation and raw data collection to automated recognition and data processing. …”
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I-MPN: inductive message passing network for efficient human-in-the-loop annotation of mobile eye tracking data by Hoang H. Le, Duy M. H. Nguyen, Omair Shahzad Bhatti, László Kopácsi, Thinh P. Ngo, Binh T. Nguyen, Michael Barz, Daniel Sonntag

“…Such mechanisms enable us to learn embedding functions capable of generalizing to new object angle views, facilitating rapid adaptation and efficient reasoning in dynamic contexts as users navigate their environment. …”
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Experimentation in Exploring Photovoltaic Inverter Dynamics Under Different Irradiance Levels Through a Data-Driven Approach by Bidur Poudel, Nischal Guruwacharya, Sunil Subedi, Ujjwol Tamrakar, Felipe Wilches-Bernal, Hossein Moradi Rekabdarkolaee, Timothy M. Hansen, Reinaldo Tonkoski

“…As conventional direct connections of synchronous generators are being phased out, inverter-based resources (IBRs) with grid support functions are increasingly being integrated into power systems. …”
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Visualization of four-dimensional X-ray absorption fine structure data using a virtual reality system by Haruo Igarashi, Daiki Kido, Yutaka Ishii, Yasuhiro Niwa, Atsushi Okamoto, Masao Kimura

“…Our 4D-XASView facilitates the visualization and analysis of the geometric and topological aspects of the data using VR goggles, enabling detailed exploration of microstructures via rotation and zooming functionalities. …”
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Prediction of teaching quality in the context of smart education: application of multimodal data fusion and complex network topology structure by Chunzhong Li, Chenglan Liu, Wenliang Ju, Yuanquan Zhong, Yonghui Li

“…Firstly, the article utilized a score management system and intelligent cameras to collect multimodal learning data; then, the original signal was decomposed into detail layers and approximation layers of different frequencies using wavelet transform, and high-frequency detail layers were processed for denoising through threshold functions; afterwards, in order to reduce the network size and parameters, attention mechanism was applied to screen the input features of the neural network; using students, teachers, and learning resources as network nodes, the connections between nodes were analyzed and a complex network topology structure was constructed; then, attention mechanism was used to fuse multimodal data, assigning different weights to each modality, integrating educational information, and highlighting key information in the prediction task. …”
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BGATT-GR: accurate identification of glucocorticoid receptor antagonists based on data augmentation combined with BiGRU-attention by Watshara Shoombuatong, Pakpoom Mookdarsanit, Nalini Schaduangrat, Lawankorn Mookdarsanit

“…Abstract The glucocorticoid receptor (GR) is a critical nuclear receptor that regulates a broad spectrum of physiological functions, including stress adaptation, immune response, and metabolism. …”
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A Study of Mixed Non-Motorized Traffic Flow Characteristics and Capacity Based on Multi-Source Video Data by Guobin Gu, Xin Sun, Benxiao Lou, Xiang Wang, Bingheng Yang, Jianqiu Chen, Dan Zhou, Shiqian Huang, Qingwei Hu, Chun Bao

“…To advance stochastic capacity estimation methods and provide reliable assessments of non-motorized roadway capacity, this study proposes a stochastic capacity estimation model based on power spectral analysis. The model treats discrete traffic flow data as a time-series signal and employs a stochastic signal parameter model to fit stochastic traffic flow patterns. …”
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Waterbody Detection and Reservoir Water Level Prediction Using Bayesian Mixture Models with Sentinel-1 GRD Data by DongHyeon Yoon, Ha-Eun Yu, Euiho Hwang, Ki-mook Kang, Gibeom Nam, Jin-Gyeom Kim

“…The BMM method was employed to accurately delineate water boundaries, benefiting from SAR’s capability to capture data regardless of weather conditions. Regression analysis was conducted between the extracted water surface area and observed water levels to create a predictive model, yielding a highly accurate equation with an R2 core of 0.981 on the test set. …”
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A Comprehensive Study of Czernik 41 and NGC 1342 Using CCD UBV and Gaia DR3 Data by Burçin Tanık Öztürk, Selçuk Bilir, Talar Yontan, Olcay Plevne, Tansel Ak, Serap Ak, Remziye Canbay, Timothy Banks

“…In this study, the structural, astrophysical, kinematic, and Galactic orbital parameters of the open clusters Czernik 41 and NGC 1342, as well as their dynamical evolution, are investigated using CCD UBV photometry and Gaia data. By applying the UPMASK algorithm to Gaia astrometric data for the estimation of cluster membership probabilities, we have determined that 382 stars in Czernik 41 and 111 stars in NGC 1342 exhibit the highest statistical likelihood of being cluster members. …”
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Benchmarking of bioinformatics tools for the hybrid de novo assembly of human and non-human whole-genome sequencing data by Adrián Muñoz-Barrera, Luis A. Rubio-Rodríguez, David Jáspez, Almudena Corrales, Itahisa Marcelino-Rodriguez, Lourdes Ortiz, Pablo Mendoza, José M. Lorenzo-Salazar, Rafaela González-Montelongo, Carlos Flores

“…Accurate and complete de novo genome assemblies enable variant identification and the discovery of novel genomic features and biological functions. However, de novo assemblies of large and complex genomes remain challenging. …”
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Comprehensive Analysis of Breast Cancer Cell Lines: Genome-wide Insights from ChIP-seq Analysis by Tanishq Sahu, Ruchi Yadav

“…Four samples of FASTQ files were used and analyzed for the genome-wide analysis. Materials and Methods: Galaxy server (https://usegalaxy.org/) was used for complete ChIP-seq data analysis; different tools such as fast-quality control (QC), multi-QC, Bowtie2, model-based analysis of ChIP-sequencing, and ChIPseeker tools were used for motif enrichment and functional analysis. …”
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Collaboration business intelligence prototype for the synergy of empowering MSMEs in the government agencies by Maryadi Maryadi, Asqolani Asqolani, Sopian Sopian

“… Purpose – This research develops a business intelligence prototype based on the analysis of profile data, problems, and needs of MSMEs. …”
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The Dif Identification in Constructed Response Items Using Partial Credit Model by Heri Retnawati

“…The study was to identify the load, the type and the significance of differential item functioning (DIF) in constructed response item using the partial credit model (PCM). …”
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CORPUS-BASED ANALYSIS OF TRANSITION WORDS by Satyawati Surya, M.Pd.

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An MCMC Approach to Bayesian Image Analysis in Fourier Space by Konstantinos Bakas, John Kornak, Hernando Ombao

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