Application of data visualization technology in human resource management and employee resignation prediction by Xue Wang, Nannan Huang

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EduGuard RetainX: An advanced analytical dashboard for predicting and improving student retention in tertiary education by Nornina J. Dia, Joseph C. Sieras, Suhaina A. Khalid, Amer Hussien T. Macatotong, Jeffrey M. Mondejar, Elizabeth R. Genotiva, Reymark D. Delena

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Monotone Data Visualization Using Rational Trigonometric Spline Interpolation by Farheen Ibraheem, Maria Hussain, Malik Zawwar Hussain

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Increasing Interest in Data Literacy: The Quantitative Public Health Data Literacy Training Program by Jinal Shah, Jemar R. Bather, Yuyu Chen, Sumedh Kaul, Janice Johnson Dias, Melody S. Goodman

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Advancing dimensionality reduction for enhanced visualization and clustering in single-cell transcriptomics by P. Sanju

“…Among these, pairwise controlled manifold approximation projection (PaCMAP) has gained recognition for its ability to preserve both local and global data structures effectively. This paper introduces compactness preservation pairwise controlled manifold approximation projection (CP-PaCMAP), an enhanced dimensionality reduction method tailored for scRNA-seq data visualization. …”
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Temporal GeneTerrain: advancing precision medicine through dynamic gene expression visualization by Ehsan Saghapour, Ehsan Saghapour, Rahul Sharma, Delower Hossain, Delower Hossain, Kevin Song, Kevin Song, Zhandos Sembay, Zhandos Sembay, Jake Y. Chen, Jake Y. Chen

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Real-Time DTM Generation with Sequential Estimation and OptD Method by Wioleta Błaszczak-Bąk, Waldemar Kamiński, Michał Bednarczyk, Czesław Suchocki, Andrea Masiero

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Deep Learning Based 3D Visualization Health Condition Monitoring Method for Anchor Digging Machines by YANG Xueqi, GAO Xinqin, ZHENG Haiyang, YANG Jun

“…On this basis, a 3D visualization health condition monitoring method of the anchor digging machine with data interaction was proposed. …”
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Simultaneous determination of the amylose and amylopectin content of foxtail millet flour by hyperspectral imaging by Guoliang Wang, Min Liu, Hongtao Xue, Erhu Guo, Aiying Zhang

“…The aim of this study was to determine the optimal dosage of organic fertilizers for application. Spectral data preprocessing used multiplicative scatter correction (MSC), and the combined algorithm of competitive adaptive reweighted sampling (CARS), random frog (RF), and iterated retaining informative variables (IRIVs) was employed for key band extraction. …”
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Lacking control over the trade-off between quality and quantity in visual short-term memory. by Alexandra M Murray, Anna C Nobre, Duncan E Astle, Mark G Stokes

“…Visual short-term memory (VSTM) is limited in the quantity and quality of items that can be retained over time. …”
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Clinical Characteristics and Visual Outcomes in Patients with Intralenticular Foreign Bodies with Self-Sealing Corneal Penetrating Wounds by Zhitao Su, Yuanqi Wang, Quanyong Yi, Lin Lin, Kairan Lai, Panpan Ye, Yao Wang, Xiaoyun Fang

“…Siderosis bulbi may occur as a result of retained intralenticular foreign bodies (ILFBs) that were missed during examination in patients with self-sealing wounds and without a significant decrease in visual acuity. …”
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Construction and clinical visualization application of a predictive model for mortality risk in sepsis patients based on an improved machine learning model by Ting Chen, Xuefeng Zhang, Qunfeng Yu, Qin Yang, Lingmin Yuan, Fei Tong

“…Clinical and laboratory data were collected and used as feature variables. …”
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Redistribution of DAT/α-synuclein complexes visualized by "in situ" proximity ligation assay in transgenic mice modelling early Parkinson's disease. by Arianna Bellucci, Laura Navarria, Elisa Falarti, Michela Zaltieri, Federica Bono, Ginetta Collo, Maria Grazia Spillantini, Cristina Missale, Pierfranco Spano

“…Indeed, recent evidence from our "in vitro" studies showed that α-synuclein aggregation decreases the expression and membrane trafficking of the DAT as the DAT is retained into α-synuclein-immunopositive inclusions. …”
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EEG Data Augmentation Method Based on the Gaussian Mixture Model by Chuncheng Liao, Shiyu Zhao, Xiangcun Wang, Jiacai Zhang, Yongzhong Liao, Xia Wu

“…The t-SNE visualization results show that the generated data are more compact. …”
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Data Fusion and Dimensionality Reduction for Pest Management in Pitahaya Cultivation by Wilson Chango, Mónica Mazón-Fierro, Juan Erazo, Guido Mazón-Fierro, Santiago Logroño, Pedro Peñafiel, Jaime Sayago

“…This study addresses the critical need for effective data fusion strategies in pest prediction for pitahaya (dragon fruit) cultivation in the Ecuadorian Amazon, where heterogeneous data sources—such as environmental sensors and chlorophyll measurements—offer complementary but fragmented insights. …”
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Unraveling Spatial Heterogeneity in Mass Spectrometry Imaging Data with GraphMSI by Lei Guo, Peisi Xie, Xionghui Shen, Thomas Ka Yam Lam, Lingli Deng, Chengyi Xie, Xiangnan Xu, Chris Kong Chu Wong, Jingjing Xu, Jiacheng Fang, Xiaoxiao Wang, Zhuang Xiong, Shangyi Luo, Jianing Wang, Jiyang Dong, Zongwei Cai

“…To address these challenges, a novel deep learning‐based approach is proposed, GraphMSI, which integrates metabolic profiles with spatial information to enhance MSI data analysis. Our comparative results demonstrate GraphMSI outperforms commonly used segmentation methods in both visual inspection and quantitative evaluation. …”
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Analysis of the Gaia Data Release 3 Parallax Bias at Bright Magnitudes by Ye Ding, Shilong Liao, Shangyu Wen, Zhaoxiang Qi

“…The orbital parallaxes dataset compiled in this work serves as a vital resource for validating parallaxes in future Gaia data releases.…”
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Extraction of Earth Surface Texture Features from Multispectral Remote Sensing Data by Zhenxing Zhang, Feng Gao, Bin Ma, Zhiqiang Zhang

“…To verify the effectiveness of this approach, several experiments are conducted and indicate that it could retain the coordination relationship among multispectral remote sensing data, and compared with the traditional single-band texture analysis method that is based on gray level co-occurrence matrix, the proposed approach has higher classification precision and efficiency.…”
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Using LiDAR Data to Assess the Character of Landscape in the Suburban Zone of Poznań by Anna Dudzińska, Anna Gałecka-Drozda, Barbara Szpakowska

“…The aim of the study was to identify, characterize and assess the structure of landscape units based on LiDAR data. The research was conducted in the village of Napachanie, Wielkopolskie Voivodship. …”
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Class and Data-Incremental Learning Framework for Baggage Threat Segmentation via Knowledge Distillation by Ammara Nasim, Saad Mazhar Khan, Anum Abdul Salam, Arslan Shaukat, Taimur Hassan, Adeel M. Syed, Muhammad Usman Akram

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