ClearFinder: a Python GUI for annotating cells in cleared mouse brain by Stefan Pastore, Philipp Hillenbrand, Nils Molnar, Irina Kovlyagina, Monika Chanu Chongtham, Stanislav Sys, Beat Lutz, Margarita Tevosian, Susanne Gerber

“…Fundamental statistical analysis, such as PCA and box plots, and additional visualization features allow for quick data evaluation and quality checks. …”
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Specific features of designing a database for neuro-oncological 3D MRI images to be used in training artificial intelligence by E. V. Amelina, A. Yu. Letyagin, B. N. Tuchinov, N. Yu. Tolstokulakov, M. E. Amelin, E. N. Pavlovsky, V. V. Groza, S. K. Golushko

“…The research was aimed at analyzing current approaches to the organization and design methodology of visualization database built on the basis of computer vision. …”
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Bilbliometric Analysis of Euthanasia in the Perspective of Medical Ethics by Elsa Yuniarti, Jessi Rizkanauli Simangunsong, Aditiya Ramadhani, Nabila Azzahra

“…Data cleaning and transformation were conducted using OpenRefine, while VOSviewer software (version 1.6.6) was utilized for data analysis and visualization, generating network, overlay, and density visualizations to identify publication trends across various metrics. …”
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Assessing the performance and explainability of an avalanche danger forecast model by C. Pérez-Guillén, F. Techel, M. Volpi, A. van Herwijnen

“…While avalanche forecasting has traditionally relied exclusively on human expertise, avalanche warning services increasingly integrate data-driven models to support the forecasting process. …”
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MolAnchor method for explaining compound predictions based on substructures by Alec Lamens, Jürgen Bajorath

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Tip of the Spear: Developing Predictive Military Planning Tools Using Hidden Markov Models by Matthew Litvinas

“…In this study, we examine observable communication by data generated through both visual and direct contact. …”
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Development of Pavement Condition Index and Roughness Index Relationship for Optimal Pavement Maintenance Strategies: A Case Study of Johnstone Road. by Bogere, David

“…Using statistical analysis and data visualization techniques, a significant correlation was found between PCI and RI, with a coefficient of determination (R²) value of 0.47 means that about 47% of the variation in PCI can be explained by the IRI values using this model. …”
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A digital twin-based green construction management method for prefabricated buildings [version 1; peer review: 2 approved] by Zhufu Zhu, Anxiu Li, Zhe Sun, Shuxin Ni, Zhansheng Liu

“…Digital twin technology can monitor sites in real-time and provide data visualization for decision support, which has been used in construction management and risk control. …”
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Impacts of oral health on life quality metrics: correlations with job function, psychological well-being, self-perception, and dietary behavior by Mohammad Helmi

“…IntroductionThis study evaluates the impact of oral health issues on critical areas of daily functioning, including job performance, psychological well-being, self-rated oral health, and dietary habits.MethodsUtilizing NHANES data, the analysis applies Pearson correlation, multiple regression, and data visualization techniques (scatter plots, heatmaps, and box plots) to quantify associations between oral health variables, such as mouth aching (OHQ620), food avoidance (OHQ660), job difficulty due to mouth issues (OHQ640), and embarrassment (OHQ680).ResultsStrong correlations were found between mouth aching and job difficulty due to mouth issues, with a Pearson correlation coefficient of 0.99, and between difficulty eating (OHQ670) and job difficulty due to mouth issues, with a coefficient of 0.98. …”
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Advances in application of photon-counting CT for pancreatic imaging by HUANG Ruikun, YANG Yanzhao, CHAI Weimin

“…The low-energy monoenergetic reconstruction mode of PCCT can enhance the contrast of solid tumors and optimize the visualization of branching and tumor-feeding vessels. …”
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A Recommendation System for E-Commerce Products Using Collaborative Filtering Approaches by Neelamadhab Padhy, Sridev Suman, T Sanam Priyadarshini, Subhalaxmi Mallick

“…K-means clustering is used to identify anomalies as well as to create a dashboard, using Power BI for data visualization. Apart from these, we have also developed a hybridization algorithm using Apriori and FP-Growth. …”
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The Verification of the Usefulness of Electronic Nose Based on Ultra-Fast Gas Chromatography and Four Different Chemometric Methods for Rapid Analysis of Spirit Beverages by Paulina Wiśniewska, Magdalena Śliwińska, Jacek Namieśnik, Waldemar Wardencki, Tomasz Dymerski

“…A set of 24 samples of raw spirits, 33 samples of vodkas, and 8 samples of whisky were analysed by fast GC e-nose. Four data analysis methods were used. The PCA was applied for the visualization of dataset, observation of the variation inside groups of samples, and selection of variables for the other three statistical methods. …”
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Structural health monitoring based on three-dimensional point cloud technology: A systematic review by Yanzong Zhang, Guibo Nie, Duozhi Wang

“…It outlines the entire process, from data acquisition to modeling and visualization, and compares six core methods: geometric morphology analysis, multi-temporal differential analysis, feature extraction, mapping, machine learning, and deep learning. …”
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Quantitative analysis of studies that use artificial intelligence on thyroid cancer: a 20-year bibliometric analysis by YingZheng Gao, JiaHao Chen, Tao Fu, Yi Gu, WeiDong Du

“…A retrospective bibliometric analysis and visualization study of the filtered data were conducted using VOSviewer, CiteSpace, and the Bibliometrix package in R software. …”
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Global cervical cancer research: A scientometric density equalizing mapping and socioeconomic analysis. by Dörthe Brüggmann, Kathrin Quinkert-Schmolke, Jenny M Jaque, David Quarcoo, Michael K Bohlmann, Doris Klingelhöfer, David A Groneberg

“…A detailed analysis was conducted including country-specific research productivity, indicators for scientific quality, and relation of research activity to socioeconomic and epidemiologic figures. Visualization of data was generated by the use of density equalizing map projections. …”
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Exploring the Complex Association Between Urban Built Environment, Sociodemographic Characteristics and Crime: Evidence from Washington, D.C. by Kaixin Liu, Longhao Zhang, Shangen Tsou, Lei Wang, Yike Hu, Ke Yang

“…Additionally, it incorporated data from the Data Analysis and Visualization Unit of the DC Office of Planning to reflect a broader range of individual characteristics. …”
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Use of IoT with Deep Learning for Classification of Environment Sounds and Detection of Gases by Priya Mishra, Naveen Mishra, Dilip Kumar Choudhary, Prakash Pareek, Manuel J. C. S. Reis

“…Using sensors like the MQ6 for gas detection, MQ135 for air quality, and DHT11 for temperature and humidity, the system, managed by an Arduino Mega, collects data and sends these to the ThingSpeak platform for analysis and visualization. …”
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The Territorial Distribution of Incidence with Urogenital Chlamydia, Gonorrhea, and their Associated Complications in the Russian Federation by A. A. Abramov

“…Statistical analysis, graphing, table creation, data visualization, and research results analysis were conducted using Microsoft Excel 2010 and IBM SPSS Statistics 22 software. …”
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Resolving Energy Consumption Issues and Spectrum Allocation for Future Broadband Networks by Sinan Najamaldeen Azzah, Sadia Din, Muhammad Ilyas, Imran Ashraf, Gyu Sang Choi

“…Post clustering analysis involves visualization and statistical data mining techniques to analyze the energy consumption patterns and reallocating to a more appropriate group. …”
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Study on the relationship between the non-HDL/HDL cholesterol ratio (NHHR) and endometriosis: a cross-sectional analysis utilizing the NHANES dataset by Panpan Jiang, Xingruo Zhang, Haili Huang, Zhuoran Sun, Wenjun Hu, Yuhong Li

“…To investigate the potential association between NHHR and the likelihood of developing endometriosis, we employed two statistical models: a weighted multivariate logistic regression model and a restricted cubic spline model. Data visualization included scatter plots with locally estimated scatterplot smoothing (LOESS) curves to illustrate the relationship between NHHR and the probability of endometriosis. …”
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