Results 41 to 50 of about 208,737 (313)
Abstract This document describes the behavior of the production of academic papers and high circulation newspapers, published under the terms “Coronavirus, Covid-19 or SARS-CoV-2”. The purpose of this paper is to employ text mining techniques and qualitative data analysis for pattern identification (Dobrzynski, Dziekonski, Krzysztof, & Jurczuk, 2013;
Beltrán-Oicatá, Cristian O.+3 more
openaire +1 more source
Objective Targeted synthetic disease‐modifying antirheumatic drugs (tsDMARDs) have expanded the management of autoimmune diseases, including rheumatic diseases. As the use of these drugs grows, it is important to understand their effects on pregnancy.
Vienna Cheng+7 more
wiley +1 more source
Text Mining in Organizational Research [PDF]
Despite the ubiquity of textual data, so far few researchers have applied text mining to answer organizational research questions. Text mining, which essentially entails a quantitative approach to the analysis of (usually) voluminous textual data, helps accelerate knowledge discovery by radically increasing the amount data that can be analyzed.
Vladimer B. Kobayashi+4 more
openaire +4 more sources
Cross-institution text mining to uncover clinical associations: a case study relating social factors and code status in intensive care medicine [PDF]
Objective: Text mining of clinical notes embedded in electronic medical records is increasingly used to extract patient characteristics otherwise not or only partly available, to assess their association with relevant health outcomes. As manual data labeling needed to develop text mining models is resource intensive, we investigated whether off-the ...
arxiv
Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics
Machine learning (ML) is revolutionizing the development of bioinspired ceramics. This article investigates how ML can be used to design new ceramic materials with exceptional performance, inspired by the structures found in nature. The research highlights how ML can predict material properties, optimize designs, and create advanced models to unlock a ...
Hamidreza Yazdani Sarvestani+2 more
wiley +1 more source
Efficient Generalized Temporal Pattern Mining in Big Time Series Using Mutual Information [PDF]
Big time series are increasingly available from an ever wider range of IoT-enabled sensors deployed in various environments. Significant insights can be gained by mining temporal patterns from these time series. Temporal pattern mining (TPM) extends traditional pattern mining by adding event time intervals into extracted patterns, making them more ...
arxiv
Smart Rubber Extrusion Line Combining Multiple Sensor Techniques for AI‐Based Process Control
This publication presents a digitalization approach for a laboratory rubber extrusion line, employing innovative measurement methods and artificial intelligence (AI)‐based process control. The results demonstrate that the measurement systems are capable of detecting changes in the process and extrudate quality.
Alexander Aschemann+18 more
wiley +1 more source
Housing the homeless: How revisiting the 1940s assists the struggle
Abstract A major obstacle in the political work of housing the homeless is convincing voters and lawmakers that housing is a right and should be available to all without conditions. This paper seeks to assist that project by showing that the tension between rights and conditions has a history. It focusses on the pivotal 1940s, which saw the first major
Anne O'Brien
wiley +1 more source
From Damage to Functionality: Remanufacturing of Thrust Roller Bearings by Tailored Forming
Herein, the wear and fatigue behavior of repaired bearing raceways with a new powder alloy is investigated using a FE8 test‐rig and an oscillating tribometer. The tests are compared with industrial manufactured bearings to evaluate the repair quality. The repair can extend the service life of the repaired bearing to that of a new bearing and improves ...
Felix Saure+3 more
wiley +1 more source
Text Mining for Translational Bioinformatics [PDF]
Translational bioinformatics is an emerging field with a fascinating aim to develop novel computational techniques to facilitate traditional translational research through the convergence of molecular bioinformatics, biostatistics, statistical genetics, and clinical informatics. Translational bioinformatics is now more powerful than ever and has become
Chih-Hsuan Wei+5 more
openaire +2 more sources