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2341
“Outcomes of Iontophoresis Cross-Linking in Asymmetric Keratoconus: A Retrospective Analysis of High Visual Acuity Eyes Under 25 Years Old”
Published 2024-11-01“…Vanessa Ferraro,1,2 Francesco Santoru,1,2 Gianmaria Barone,1,2 Pietro Rosetta3 1Department of Ophthalmology, IRCCS Humanitas Research Hospital, Milan, Italy; 2Department of Biomedical Sciences, Humanitas University, Milan, Italy; 3Department of Ophthalmology, Humanitas San Pio X, Milano, Milan, ItalyCorrespondence: Vanessa Ferraro, Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, Pieve Emanuele, Milan, 20090, Italy, Tel +393406701716, Email vanessa.ferraro@st.hunimed.euPurpose: To assess the long-term outcomes of transepithelial iontophoresis cross-linking (I-CXL) for early keratoconus with high visual acuity under the age of 25.Methods: This retrospective study was conducted at the Department of Ophthalmology, Humanitas San Pio X, Milan, Italy, on data collected between 2015 and 2020. …”
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2342
IMCP: A Python package for imbalanced and multiclass data classifier performance comparison
Published 2024-12-01Get full text
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2344
Art Education Experiences in Unified Classrooms: A Phenomenological Study
Published 2024-12-01“…This research aims to create a perspective on the Visual Arts course through the eyes of unified classroom teachers and to reveal their experiences. …”
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2345
Geographic information system and information visualization capacity building: Successful polio eradication and current and future challenges in the COVID-19 era for the World Heal...
Published 2024-01-01“…The AFRO GIS comprises a set of mobile device or cloud-based tools for geospatial data collection, analysis, and visualization. Using tools such as Auto-Visual Acute Flaccid Paralysis Detection and Reporting, electronic surveillance, and Integrated Supportive Supervision, GIS personnel collect polio case numbers and locations, track field worker activities, follow the movements of nomadic populations vulnerable to polio and other diseases, and determine needs for further healthcare deployments. …”
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2346
Enhancing the quality of kinesthetic motor imagery for complex motor skills through simulated muscle activation color visualization: Evidence from time-frequency and functional con...
Published 2025-04-01“…It is well established that providing visual guidance within demonstration models positively influences the quality of kinesthetic motor imagery (kMI) for complex motor skills. …”
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2347
Study of the diagnostic efficiency of single-photon emission computed tomography with [<sup>99m</sup>Tc]Tc-1-THIO-D-glucose in visualization of brain tumors
Published 2022-11-01“…In patients with verified diagnosis of malignant brain tumors, SPECT with [99mTc]Tc-1-THIO-D-glucose correctly visualized tumors in all cases. The tumor was visualized as a zone of increased accumulation of [99mTc]Tc-1-THIO-D-glucose of varying intensity and size. …”
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2349
Optimising usability in museums – Integrated management of data on the use of space and cultural content
Published 2024-12-01“…A digital tool developed in a BIM environment was applied to the Museum of Rome – Palazzo Braschi case study, which integrates and visualises spatial and behavioural data. The results highlight how predictive approaches and advanced technologies improve the management of usability and participation. …”
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Efficacy of Smart City Data Layers in virtual reality for emergency evacuation behaviours
Published 2025-09-01“…One way of presenting this information is by employing the Smart City Data Layers which has yet to be investigated, thus, in this study, a Smart City Data Layer-enhanced virtual reality environment is presented. …”
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Interpretation of pharmacokinetic data in preclinical studies of new drugs. Single intravenous administration
Published 2022-05-01“…Visual data patterns allow prediction of pharmacokinetic behavior and properties of new drugs.…”
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EMBEDDING IDENTIFICATION DATA WITHIN IMAGES BASED ON SINUSOIDAL GRATINGS FOR MOBILE APPLICATIONS
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2354
SPEED: A Graphical User Interface Software for Processing Eye Tracking Data
Published 2025-04-01“…Eye tracking is a tool that is widely used in scientific research, enabling the acquisition of precise and detailed data on an individual’s eye movements during interaction with visual stimuli, thus offering a rich source of information on visual perception and associated cognitive processes. …”
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Using LiDAR Data to Assess the Character of Landscape in the Suburban Zone of Poznań
Published 2018-01-01“…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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Sistema de gestión de datos GESTSOFT // System of data administration GESTSOFT
Published 2000-07-01Get full text
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Multi-modal, interrelated navigation in migratory birds: A data mining study
Published 2025-12-01“…We integrated a decade of tracking data from 117 individuals with high-resolution geomagnetic data (including solar-wind–induced variations), wind conditions, and a potential visual cue. …”
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Optimizing UAV sprayer performance using field data and machine learning approaches
Published 2025-08-01“…The heatmaps based on simulation confirmed and visually supported the experimental findings. This integrated approach demonstrates the potential of combining field data with simulation and machine learning to optimize UAV spraying strategies, offering a framework for broader applications in sustainable agriculture.…”
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Towards Integrated Data Management and Analysis for Spatio-Temporal Digital Terrain Models
Published 2025-07-01“…In this paper we introduce a GeoDBMS-based approach to manage, sustainably provide, analyse and visualize spatio-temporal DTM data. First, we review current approaches for the management and temporal modelling of DTM data. …”
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Skeleton-Based Data Augmentation for Sign Language Recognition Using Adversarial Learning
Published 2025-01-01“…Therefore, we focus on visual-based SLR using skeletal data and propose an adversarial learning SLR model called Adversarial Vulnerability-Seeking Networks (AVSN), which jointly trains two independent processes, data augmentation, and machine learning. …”
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