MSIMRS: Multi-Scale Superpixel Segmentation Integrating Multi-Source Remote Sensing Data for Lithology Identification in Semi-Arid Area by Jiaxin Lu, Liangzhi Li, Junfeng Wang, Ling Han, Zhaode Xia, Hongjie He, Zongfan Bai

“…In recent years, extracting lithology information from multi-source RS data has become an inevitable trend. Various classification image primitives yield distinct outcomes in lithology classification. …”
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Real-Time Prediction of the Dynamic Spatial Configuration of Umbilical Cables Based on Monitoring Data During Deep-Sea In-Situ Mining by Chaojun Huang, Shuqing Wang, Jiancheng Liu, Lei Li, Wencheng Liu, Lin Huang, Zhihao Yu, Wen Shen, Yuankun Sun, Yu Liu, Yuanyuan Liu

“…Comparing the prediction results with the trajectory of the USBL beacon obtained from the monitoring data, the maximum distance of some specific points was close to 5 m, and most of them were less than 3 m. …”
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A Formal Model of Trajectories for the Aggregation of Semantic Attributes by Francisco Javier Moreno Arboleda, Georgia Garani, Natalia Andrea Álvarez Hoyos

“…The contributions in this work provide a foundation for future research in developing trajectory applications including analysis and visualization of trajectory aggregated data based on formal grounds.…”
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Syn-MolOpt: a synthesis planning-driven molecular optimization method using data-derived functional reaction templates by Xiaodan Yin, Xiaorui Wang, Zhenxing Wu, Qin Li, Yu Kang, Yafeng Deng, Pei Luo, Huanxiang Liu, Guqin Shi, Zheng Wang, Xiaojun Yao, Chang-Yu Hsieh, Tingjun Hou

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The Role of Scintigraphy and Hybrid Single-Photon Emission Tomography in Comparison with Laboratory Data in a Comprehensive Examination of Patients with Secondary Hyperparathyroidi... by V. Е. Prokina, А. А. Ansheles, A. V. Tarasov, A. S. Ametov, V. B. Sergienko

“…In patients with vitamin D deficiency, impaired parathyroids according to SPECT/CT data was visualized in 8 % of cases, and in patients with CKD in 14.3 %. …”
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Visualization of the 3D Structure of Subcritical Aqueous Ca(NO₃)₂ Solutions at 25~350 °C and 40 MPa by Raman and X-Ray Scattering Combined with Empirical Pote... by Toshio Yamaguchi, Kousei Li, Yuki Matsumoto, Nami Fukuyama, Koji Yoshida

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Cohesive data analysis for the identification of prognostic hub genes and significant pathways associated with HER2 + and TN breast cancer types by Mahrukh Zakir, Alishbah Saddiqa, Mawara Sheikh, Lalarukh Zakir, Fatima Sami, Faisal Sardar Ahmad, Sadaf Abdul Rauf, Iqra Ali, Zahid Muneer, Wadi B. Alonazi, Abdul Rauf Siddiqi

“…The study exploits wealth of HER2 + and TNBC transcriptome (RNA Seq) data to elucidate the key hub genes, their associated networks, pathways, stage-wise expression profile, role in prognosis and survival expectancy, and regulatory transcription factors. …”
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Analysis of cognitive status of Alzheimer’s disease’s subjects and its association with biomarkers (amyloid beta and tau proteins) using NACC data by Vaghawan Prasad Ojha, Sheida Riahi, Richard Hunt Bobo, Seyedadel Moravveji, Lucien Meteumba, Shantia Yarahmadian

“…Total of 1821 rows data collected from 1347 unique subjects with CSF biomarkers were analyzed. …”
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NanoCore: core-genome-based bacterial genomic surveillance and outbreak detection in healthcare facilities from Nanopore and Illumina data by Sebastian A. Fuchs, Lisanna Hülse, Teresa Tamayo, Susanne Kolbe-Busch, Klaus Pfeffer, Alexander T. Dilthey

“…Fast turnaround times, flexible multiplexing, and low capital requirements make Nanopore sequencing well suited for genomic surveillance purposes; the analysis of Nanopore data, however, can be challenging. We present NanoCore, a user-friendly method for Nanopore-based genomic surveillance in healthcare facilities, enabling the calculation and visualization of cgMLST-like (core-genome multilocus sequence typing) sample distances directly from unassembled Nanopore reads. …”
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scMINER: a mutual information-based framework for clustering and hidden driver inference from single-cell transcriptomics data by Qingfei Pan, Liang Ding, Siarhei Hladyshau, Xiangyu Yao, Jiayu Zhou, Lei Yan, Yogesh Dhungana, Hao Shi, Chenxi Qian, Xinran Dong, Chad Burdyshaw, Joao Pedro Veloso, Alireza Khatamian, Zhen Xie, Isabel Risch, Xu Yang, Jiyuan Yang, Xin Huang, Jason Fang, Anuj Jain, Arihant Jain, Michael Rusch, Michael Brewer, Junmin Peng, Koon-Kiu Yan, Hongbo Chi, Jiyang Yu

“…Moreover, scMINER enables the inference of signaling protein networks and drivers with high accuracy, which presents an advantage in multimodal single cell data analysis. In addition, we establish scMINER Portal, an interactive visualization tool to facilitate exploration of scMINER results.…”
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Deep Learning and Image Generator Health Tabular Data (IGHT) for Predicting Overall Survival in Patients With Colorectal Cancer: Retrospective Study by Seo Hyun Oh, Youngho Lee, Jeong-Heum Baek, Woongsang Sunwoo

“…Image generator for health tabular data (IGHT) transform tabular electronic medical record (EMR) data into structured 2D image matrices, enabling the use of powerful computer vision–based deep learning models. …”
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A Study to Assess the Efficacy of Audio-Visual Psychoeducation on Level of Knowledge and Attitude Regarding Harmful Effects of Alcohol among Alcohol use Disorder Patients Admitted... by Seema Madhavan Nair, Punita A Sharma, Radhika Das

“…There was no significant association of pretest knowledge with selected socio-demographic data. Conclusion: Audiovisual psychoeducation is efficient in increasing the level of knowledge and change in attitude toward harmful effects of alcohol.…”
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FAD-Net: Automated Framework for Steel Surface Defect Detection in Urban Infrastructure Health Monitoring by Nian Wang, Yue Chen, Weiang Li, Liyang Zhang, Jinghong Tian

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Modeling of Historical Marine Casualty on S-100 Electronic Navigational Charts by Seojeong Lee, Hyewon Jeong, Changui Lee

“…To address this gap, this paper proposes a data model for structuring and visualizing marine casualty information within the S-100 standard. …”
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Robust Synthetic Data Generation for Sequential Financial Models Using Hybrid Variational Autoencoder–Markov Chain Monte Carlo Architectures by Francesco Bruni Prenestino, Enrico Barbierato, Alice Gatti

“…Experimental evaluations on datasets of Google, Tesla, and Nestlé stock prices demonstrate the model’s superior performance in preserving statistical and temporal patterns, as validated by quantitative metrics (discriminative and predictive scores), statistical tests (Kolmogorov–Smirnov), and t-Distributed Stochastic Neighbour Embedding (t-SNE) visualisations. The experiments reveal the model’s scalability, maintaining high fidelity even under augmented dataset sizes and missing data scenarios. …”
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Transmission of COVID-19 from community to healthcare agencies and back to community: a retrospective study of data from Wuhan, China by Xiaoqi Zhou, Yan Guo, Mei Yang, Yaqiong Yan, Anshu Li, Gengchen Xie, Yanhui Pang, Qiman Jin, Juan Dai, Xinghua Liu

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Cgmquantify: Python and R Software Packages for Comprehensive Analysis of Interstitial Glucose and Glycemic Variability from Continuous Glucose Monitor Data by Brinnae Bent, Maria Henriquez, Jessilyn Dunn

“…<italic>Results:</italic> Here we present an open-source software toolbox called cgmquantify, which contains 25 functions calculating 28 clinically validated metrics of glucose and glycemic variability, as well as tools for visualizing longitudinal CGM data. Detailed documentation facilitates modification of existing code by the community for customization of input data and visualizations. …”
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Target Ship Recognition and Tracking with Data Fusion Based on Bi-YOLO and OC-SORT Algorithms for Enhancing Ship Navigation Assistance by Shuai Chen, Miao Gao, Peiru Shi, Xi Zeng, Anmin Zhang

“…Then, a perception data fusion framework based on ship spatio-temporal trajectory features (ST-TF) was proposed to match GPS-based ship information with corresponding visual target information. …”
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The use of the X-Plane flight simulator and SimInTech environment in the educational process during the practical lesson "Flight data processing" by A. S. Knyazev

“…The article considers an example of using a flight simulator in the educational process as a means of visualizing aviation equipment during a practical lesson "Flight data processing". …”
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Enhancing Autism Detection Through Gaze Analysis Using Eye Tracking Sensors and Data Attribution with Distillation in Deep Neural Networks by Federica Colonnese, Francesco Di Luzio, Antonello Rosato, Massimo Panella

“…Autism Spectrum Disorder (ASD) is a neurodevelopmental condition characterized by differences in social communication and repetitive behaviors, often associated with atypical visual attention patterns. In this paper, the Gaze-Based Autism Classifier (GBAC) is proposed, which is a Deep Neural Network model that leverages both data distillation and data attribution techniques to enhance ASD classification accuracy and explainability. …”
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