Intravoxel incoherent motion (IVIM)-derived perfusion fraction mapping for the visual evaluation of MR-guided high intensity focused ultrasound (MR-HIFU) ablation of uterine fibroi... by Derk J. Slotman, Lambertus W. Bartels, Ingrid M. Nijholt, Martijn Froeling, Judith A. F. Huirne, Chrit T.W Moonen, Martijn F. Boomsma

“…Our goal was to test feasibility of perfusion fraction mapping by intravoxel incoherent motion (IVIM) modeling using diffusion-weighted MRI as method for visual evaluation of MR-HIFU treatment progression.Methods Conventional and T2-corrected IVIM-derived perfusion fraction maps were retrospectively calculated by applying two fitting methods to diffusion-weighted MRI data (b = 0, 50, 100, 200, 400, 600 and 800 s/mm2 at 1.5 T) from forty-four premenopausal women who underwent MR-HIFU ablation treatment of uterine fibroids. …”
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Visual Acuity Outcomes and Influencing Factors in a Cohort of UK Real-World Diabetic Macular Oedema Patients During the First Two Years of Anti-VEGF Treatment by Qing Wen, Helene Karcher, David M. Wright, Samriddhi Buxy Sinha, Usha Chakravarthy, Catarina Santos, Franklin Igwe, Recivall Salongcay, Katie Curran, Tunde Peto

“…Background/Objectives: The visual acuity (VA) outcomes after the first and second years of anti-vascular endothelial growth factor (anti-VEGF) treatment in patients with diabetic macular oedema (DMO) were evaluated, and the factors associated with treatment success were investigated. …”
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Association of visual acuity with sleep quality and sleep duration in patients with type 2 diabetes: evidence from a cross-sectional analysis of the Fushun Diabetic Retinopathy Stu... by Yu Wang, Shisong Rong, Zixi Zhou, Yuanbo Liang, Zhong Lin, Fenghua Wang, Qitong Wang, Kemi Feng, Xiaoxia Ding, Dongxiao Zang, Dong Li, Bo Zang

“…ObjectiveTo examine the association between visual acuity (VA), sleep quality, and sleep duration among Chinese adults.Subjects/MethodsData were derived from the Fushun Diabetic Retinopathy Cohort Study (FS-DIRECT), a cross-sectional, community-based study conducted in Fushun, China, from July 2012 to May 2013. …”
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Vers une ontologie de domaine pour l’analyse des tissus anciens. Le projet Silknow et le cas du patrimoine soyeux européen by Marie Puren, Pierre Vernus

“…In this article, we present the Silknow project (Silk heritage in the knowledge society: from punched card to big data, deep learning and visual/tangible simulations, 2018-2021). …”
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Multi-modal denoised data-driven milling chatter detection using an optimized hybrid neural network architecture by Haining Gao, Haoyu Wang, Hongdan Shen, Shule Xing, Yong Yang, Yinlin Wang, Wenfu Liu, Lei Yu, Mazhar Ali, Imran Ali Khan

“…A data denoising model combining Complementary Ensemble Empirical Mode Decomposition (CEEMD) and Singular Value Decomposition (SVD) is established. …”
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Psycholinguistic Aspects of Focalization in a Paradigm of Narrative Discours by Ernest Ivashkevych

“…Analyzing the work “Night Guards” by Alan Moore and Dave Gibbons, the author of this article proposed the following psycholinguistic aspects of the narrative discourse, namely: visual accentuation, updating of information, meta-narrative  presentation of the text, contrasting visual word-combinations, actualization of the narrative potential.…”
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Imaging the main molecular biological subtypes of breast cancer: comparison of mammographic data and histological findings by O. S. Khodorovich, L. B. Kanakhina, T. V. Sherstneva, A. A. Kalinina-Masri, Sh. M. Dibirova

“…To explore such a method of visualization of BC as mammography and the correlation of its results with the data of histological and immunohistochemical studies, and their significance in planning organ-conserving operations.Materials and methods. …”
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Examining translation and interpretation studies in GCC states: data from Web of Science (1991–2023) by Naji Alyami, Mutahar Qassem

“…The results, processed through CiteSpace, Excel, and VOSviewer for data analysis and visualisation, indicate that GCC states contribute a relatively considerable number of publications. …”
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ANALYSIS OF INSECTICIDE SUSCEPTIBILITY DATA FOR DENGUE VECTORS USING INSECTICIDE RESISTANCE MANAGEMENT SYSTEM (IRMS) by Rosilawati R, Cheong YL, Mohd Khairuddin CI

“…This system circumvents the time-consuming limitations of manual data analysis by enabling rapid result visualisation and report generation.…”
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Charting the Growth of Text Summarisation: A Data-Driven Exploration of Research Trends and Technological Advancements by Anukriti Kaushal, Chia-Chen Lin, Rishabh Chauhan, Rajeev Kumar

“…Text summarisation plays a pivotal role in efficiently processing large volumes of textual data, making it an indispensable tool across diverse domains such as healthcare, legal, education, and journalism. …”
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Applying Methods of Exploratory Data Analysis and Methods of Modeling the Unemployment Rate in Spatial Terms in Poland by Marek Ogryzek, Marcin Jaskulski

“…The selection of optimal methods of visualization and analysis of spatial data is intended to be a model for use in other areas of research.…”
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scplainer: using linear models to understand mass spectrometry-based single-cell proteomics data by Christophe Vanderaa, Laurent Gatto

“…We present scplainer, a principled and standardized approach for extracting meaningful insights from SCP data using minimal data processing and linear modeling. scplainer performs variance analysis, differential abundance analysis, and component analysis while streamlining result visualization. scplainer effectively corrects for technical variability, enabling the integration of data sets from different SCP experiments. …”
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Herschel vision: A hyperspectral image processing software for data preparation in machine learning pipelines by Billy G. Ram, Sunil GC, Xin Sun

“…Herschel Vision is an open-source hyperspectral image analysis application that enables the users to visualize and analyze hyperspectral images. Herschel Vision can automate white and dark reference calibration, spectral data visualization and extraction, generation of pseudo RGB images, cropping and segmentation of region of interests, saving images as three-dimensional cubes, and applying forward feed signal pre-processing corrections. …”
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All-day cloud property and occurrence probability dataset based on satellite remote sensing data by Longfeng Nie, Yuntian Chen, Dongxiao Zhang

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MLFoMpy: A post-processing tool for semiconductor TCAD data with machine-learning capabilities by Enrique Comesaña, Julian G. Fernández, Natalia Seoane, Antonio García-Loureiro

“…Additionally, it offers data visualization tools to plot current–voltage curves and statistical graphs.…”
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Preserving Spatial Patterns in Point Data: A Generalization Approach Using Agent-Based Modeling by Martin Knura, Jochen Schiewe

“…Visualization and interpretation of user-generated spatial content such as Volunteered Geographic Information (VGI) is challenging because it combines enormous data volume and heterogeneity with a spatial bias. …”
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Kebijakan Open Data Penelitian dalam Membangun Komunikasi Ilmiah di Perpustakaan Lembaga Riset by Tupan Tupan Tupan

“…Libraries are the pioneers of the open data research movement by providing consultancy services for data analysis, research data mining, data curation services, data analysis and visualization, and saving research data over a long period of time. …”
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TALIS 2018 data indicates that teachers need support for developing skills in Pedagogical Decision Making by Susan Wiksten

“…The secondary analysis consists of a juxtaposition and visualization of descriptive data. Analysis of survey data highlights shared assumptions and expectations across fourteen countries. …”
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Enhancing Latent Defect Detection in Built-In Spindle Assembly Lines Through Vibration Data Analysis by Kuo-Hao Li, Chao-Nan Wang, Yao-Chi Tang

“…The methodology, which analyzes 13 real-world built-in spindles, employs t-distributed stochastic neighbor embedding (t-SNE) for data visualization and enhances k-means++ clustering with the Davies–Bouldin Index (DBI) for the automatic selection of the optimal number of clusters, significantly surpassing traditional inspection methods in identifying subtle yet critical defects. …”
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Efficient extraction of experimental data from line charts using advanced machine learning techniques by Wenjin Yang, Jie He, Xiaotong Zhang

“…Line charts, as a common data visualization tool in scientific research and business analysis, encapsulate rich experimental data. …”
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