Evaluating the Efficacy of Cueing Strategies versus Walking Aids in Parkinson’s Disease: An Interventional Study by Sharki Rawat, Jyoti Balyan, Sonia

Get full text

S’approprier, c’est résister. Appropriations spatiales et mobilisation infra-politique des femmes en immobilité résidentielle et sociale dans les bidonvilles de Salé (Maroc)... by Myriame Ali-Oualla

Get full text

Deep Learning–Based Prediction of Glaucoma Severity and Progression Using Imo/TEMPO Screening Program by Kei Sano, MD, PhD, Euido Nishijima, MD, PhD, Shunsuke Sumi, MD, PhD, Takahiko Noro, MD, PhD, Shumpei Ogawa, MD, PhD, Yuka Igari, MD, Aiko Iwase, MD, PhD, Tadashi Nakano, MD, PhD

“…Purpose: To develop DeepISP, a deep learning model that predicts the comprehensive visual field (VF) information of the Humphrey visual field analyzer (HFA) based on rapid screening perimetry (Imo/TEMPO screening program [ISP]). …”
Get full text

Les usages « sauvages » de l’image. Retours sur une expérience profane de la sociologie visuelle by Flora Bajard

“…This article shows that this heuristic potential also concerns “wild uses” of images, that is, partial, more or less rationalized and controlled uses carried out by a sociologist who was not familiar of visual studies. Here, images were entangled in social relationships involving the researcher, respondents and readers/listeners of the research, and were useful in several ways: taking an inventory of the “seen” and “unseen” within the ethnographic work, producing lay discourses about the object and therefore, new empirical datas, and support further thoughts on the – aestheticized, enchanted, partial, etc. – relation of the researcher towards its fieldwork. …”
Get full text

Big Earth data processing using machine learning for integrated mapping of the dead sea fault, Jordan by Polina Lemenkova

“…GIS applications encourage geological prospective modeling by visualizing data aimed at the prognosis of mineral resources. …”
Get full text

Big Earth data processing using machine learning for integrated mapping of the dead sea fault, Jordan by Polina Lemenkova

“…GIS applications encourage geological prospective modeling by visualizing data aimed at the prognosis of mineral resources. …”
Get full text

AMRLearn: Protocol for a machine learning pipeline for characterization of antimicrobial resistance determinants in microbial genomic data by Xi Zhang, Yining Hu, Zhenyu Cheng, John M. Archibald

“…We describe the steps needed for input data preparation, prediction model selection, and result visualization. …”
Get full text

A Fully-Searchable Multimodal Dataset of the 'Illustrated London News', 1842–1890 by Thomas Smits, Bethany Warner, Paul Fyfe, Benjamin Charles Germain Lee

Get full text

Rapid fault cause identification in surface mount technology processes based on factory-wide data analysis by Dongil Kim, Jeongin Koo, Hyein Kim, Seokho Kang, Sang Hyun Lee, Jeong Tae Kang

“…The proposed method divides each input variable into a certain number of partitions, and then, the proportion of faults in a partition is calculated in comparison to the proportion of faults in the entire data set. The analytical results are provided to the user with a list that includes the fault causes and a corresponding density histogram for visualization. …”
Get full text

Benefit sharing on genetic resources: Modelling data access, control and willingness‐to‐pay for digital sequence information by Tim Coltman, Maui Hudson, Jason Mika, Yvonne Matthews, Jane Anderson, Natalie Kusabs, KatieLee Riddle, Jacob Golan

“…Digital sequence information on genetic resources provides an illustrative example by placing a spotlight on the tension between (1) open data access to facilitate innovation and knowledge transfer and (2) regulated control over data use to ensure benefits are shared with custodians of traditional knowledge and genetic resources. …”
Get full text

A Novel Method for Traffic Parameter Extraction and Analysis Based on Vehicle Trajectory Data for Signal Control Optimization by Yizhe Wang, Yangdong Liu, Xiaoguang Yang

“…The method comprises five modules: data preprocessing, basic feature processing, exploratory data analysis, key feature extraction, and data visualization. …”
Get full text

ThirdPeak is a flexible tool designed for the robust analysis of two- and three-dimensional tracking data by Thomas Müller, Elisabeth Meiser, Markus Engstler

“…We introduce ThirdPeak, an open-source tool tailored for the comprehensive analysis of two- and three-dimensional track data across various scales. Its versatile import and export options ensure seamless integration into established workflows, while the intuitive user interface allows for swift visualization and analysis of the data. …”
Get full text

High Performance Numerical Computing for High Energy Physics: A New Challenge for Big Data Science by Florin Pop

“…Simulation with stable numerical methods represents an excellent instrument for high accuracy analysis, experimental validation, and visualization. High performance computing support offers possibility to make simulations at large scale, in parallel, but the volume of data generated by these experiments creates a new challenge for Big Data Science. …”
Get full text

COMPONENT FOR REMOTE DATA AVAILABILITY BASED ON THE ESP32 MICROCONTROLLER, A WIRELESS INTERFACE AND THE HTTP PROTOCOL by David Alejandro Chentes Ramos, Thaily Blanco Baro, Fidel Ernesto Hernández Montero

“…The results validate the effectiveness of the system for industrial applications, demonstrating its capability to handle data remotely and ensure proper storage and visualization. …”
Get full text

ReactionT5: a pre-trained transformer model for accurate chemical reaction prediction with limited data by Tatsuya Sagawa, Ryosuke Kojima

Get full text

quicR: An R library for streamlined data handling of real-time quaking induced conversion assays by Gage R. Rowden, Peter A. Larsen

“…The open source R library, quicR, was developed to provide a standardized approach to RT-QuIC data analysis. quicR provides functions, which can be easily integrated into existing R workflows, for data curation, analysis, and visualization.…”
Get full text

Big Argumentation? by Daniel Faltesek

“…Understanding, and challenging, Big Data requires an attention to the aesthetics of data visualization and the ways in which those aesthetics would seem to depoliticize information. …”
Get full text

PyWindAM: A Python software for wind field analysis and cloud-based data management by Nanxi Chen, Rujin Ma, Baixue Ge, Haocheng Chang

“…In terms of user-friendliness, InfluxDB itself provides an intuitive interface, facilitating convenient data visualization and efficient management for researchers and technicians engaged in wind field analysis and structural safety assessments.…”
Get full text

The SmARTR pipeline: A modular workflow for the cinematic rendering of 3D scientific imaging data by Simone Macrì, Nicolas Di-Poï

“…We introduce the SmARTR pipeline (Small Animal Realistic Three-dimensional Rendering), a comprehensive workflow integrating wet lab procedures, 3D data acquisition, and processing to produce photorealistic scientific data through 3D cinematic rendering. …”
Get full text

Transitioning from traditional laboratory records to electronic laboratory records: a modern approach to data management by Gao Mingzhou, Zhou Wanqing, Hu Minghui, Sun Ya, Zhang Jie, Zhang Hao

“…With features like real-time recording, traceability, strong security and confidentiality, easy sharing and collaboration, and data visualization, these digital systems effectively address the shortcomings of traditional practices. …”
Get full text