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Aphantasia, hyperphantasia and sensory imagery in a multi-cultural sample
Published 2025“…This study investigated sensory imagery in a multi-cultural sample. Participants (N = 636) completed the Vividness of Visual Imagery Questionnaire (VVIQ) scale and the Plymouth Sensory Imagery Questionnaire (Psi-Q). …”
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Unsupervised Feature-Based Visualization Tool Applied on Medical Data
Published 2020“…The study was focused on the migraine headache disorder, where multiple patient data samples were mapped and visualized against each other. …”
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BioNetApp: An interactive visual data analysis platform for molecular expressions
Published 2019“…Correlation analysis provides several visualization features such as Kamada-Kawai, Fruchterman-Reingold Spring embedding network layouts, in addition to single circle, multiple circle and heatmap layouts, whereas comparative analysis presents expression-data distributions across samples, groups, and time points with boxplot display, outlier detection, and data curve fitting. …”
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Towards a New Visual Query Language for GIS
Published 2006“…The visual query language, its user interface and its model are explained. …”
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Building power consumption datasets: Survey, taxonomy and future directions
Published 2020“…A total of thirty-one databases are examined and compared in terms of several features, such as the geographical location, period of collection, number of monitored households, sampling rate of collected data, number of sub-metered appliances, extracted features and release date. …”
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Data mining approach to predict student's selection of program majors
Published 2019“…The methodology used in this study is the systematic literature review to source, evaluate and synthesize current information in this domain and the CRISP-DM to deploy data mining activities. Several data mining techniques such as data exploration, visualization, sampling and evaluation are presented and applied to the academic data. …”
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Screen Time Soars and Vision Suffers: How School Closures During the Pandemic Affected Children and Adolescents’ Eyesight
Published 2024“…An analytical cross-sectional study was conducted, targeting governmental school students. Data were collected via telephone interviews with parents, and visual acuity measurements were extracted from the electronic health records. …”
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UGA-GAN: Unified Geometry-Aware GAN for Enhanced Training and Generation of High-Dimensional Data
Published 2025“…We propose a unified architecture that enhances GAN performance by aligning generated samples with the underlying data manifold, promoting smooth and interpretable latent space representations, and ensuring global geometric consistency. …”
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Review of field methods for monitoring Asian bears
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Improved quality of 1H NMR spectroscopic data for enhanced metabolic profiling of low molecular weight metabolites in human serum Authors Authors and affiliations
Published 2011“…In order to improve 1H NMR spectroscopic data we compared different serum sample preparation methods. …”
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MicroCrystalNet: An Efficient and Explainable Convolutional Neural Network for Microcrystal Classification Using Scanning Electron Microscope Petrography
Published 2025“…<p dir="ltr">Morphological characterization of microcrystalline rock textures typically relies upon the visual interpretation and manual measurement of scanning electron microscopy (SEM) imagery: a practice fraught with subjectivity, inefficiency, sampling bias, and data loss. …”
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Trends in prevalence of blindness and distance and near vision impairment over 30 years: an analysis for the Global Burden of Disease Study
Published 2020“…</p><p><br></p><h3>Methods</h3><p dir="ltr">We did a systematic review and meta-analysis of population-based surveys of eye disease from January, 1980, to October, 2018. Only studies with samples representative of the population and with clearly defined visual acuity testing protocols were included. …”
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Computer vision syndrome among students during remote learning periods: harnessing digital solutions for clear vision
Published 2023“…The prevalence of CVS in our sample was about 8% (95%CI: 6.8–9.6). Mother’s employment, having positive history of visual disturbances, and excess screen time were found to be significant predictors of CVS.…”
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A collection of annotated and harmonized human breast cancer transcriptome datasets, including immunologic classification
Published 2018“…To facilitate and stimulate utilization of these datasets, we have recently developed an interactive data browsing and visualization web application, the Gene Expression Browser (GXB). …”
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A curated collection of transcriptome datasets to investigate the molecular mechanisms of immunoglobulin E-mediated atopic diseases
Published 2019“…Ranked gene lists and sample grouping are used to facilitate data visualization/interpretation and are available online via GXB (<a href="http://ige.gxbsidra.org/dm3/geneBrowser/list" rel="noreferrer" target="_blank">http://ige.gxbsidra.org/dm3/geneBrowser/list</a>). …”
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Cancerous and Non-Cancerous MRI Classification Using Dual DCNN Approach
Published 2024“…Therefore, efficient systems capable of analyzing vast amounts of medical data for early tumor detection are urgently needed. …”
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How do gender and age similarities with a potential social engineer influence one’s trust and willingness to take security risks?
Published 2024“…We crafted and face validated 16 personas, varying in demographics and visual cues, and inquired whether participants would agree to use each persona’s offer to connect to the internet via their personal mobile hotspot, as well as the degree of trust they placed in the persona’s intentions. …”
