Results 101 to 110 of about 1,045,616 (359)
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
Objective Posttraumatic osteoarthritis (PTOA) accounts for nearly 12% of osteoarthritis incidences and often occurs after anterior cruciate ligament (ACL) tear. Ensuring the uptake of preventive treatments for PTOA requires that investigators and clinicians understand factors influencing patients to seek preventive therapies.
Lily M. Waddell+10 more
wiley +1 more source
Considering the Risks and Costs of Solid Organ Xenotransplantation
This perspective discusses the rationale, risks, and costs of whole‐organ xenotransplantation. It considers alternative strategies to obviate the demand for transplants and optimize allotransplantation systems and practices that do not impose xenotransplantation's harms and risks, and whether they are the most ethical and effective means to increase ...
Catharine E. Krebs+5 more
wiley +1 more source
Synthetic cells (SCs) hold great promise for biomedical applications, but manual production limits scalability. This study presents an automated method for large‐scale SC synthesis, integrating robotic liquid handling and machine learning‐driven high‐throughput characterization.
Noga Sharf‐Pauker+7 more
wiley +1 more source
Analyzing Political Figures in Real-Time: Leveraging YouTube Metadata for Sentiment Analysis [PDF]
Sentiment analysis using big data from YouTube videos metadata can be conducted to analyze public opinions on various political figures who represent political parties. This is possible because YouTube has become one of the platforms for people to express themselves, including their opinions on various political figures.
arxiv
A Zero-Shot Interpretable Framework for Sentiment Polarity Extraction
Sentiment analysis is a task in natural language processing that focuses on identifying and categorizing emotions expressed in text. Despite the remarkable predictive performance achieved by deep learning models in this domain, their limited ...
Thanakorn Chaisen+3 more
doaj +1 more source
Sentiment Analysis Using Collaborated Opinion Mining [PDF]
Opinion mining and Sentiment analysis have emerged as a field of study since the widespread of World Wide Web and internet. Opinion refers to extraction of those lines or phrase in the raw and huge data which express an opinion. Sentiment analysis on the
Malhotra, Vikrant+2 more
core
Digital Methods for the Fatigue Assessment of Engineering Steels
The use of engineering steels is often limited by their fatigue strength. In the sake of a faster product development, the fatigue behavior can be predicted by machine learning (ML). In this work, ML is applied on a heterogeneous database, covering a wide range of steel types.
Sascha Fliegener+7 more
wiley +1 more source
Enhanced Electrochemical Properties of Biobased Activated Carbon for Supercapacitors
Biobased activated carbons with diverse properties (pore size distribution, electrical conductivity, capacitance) for supercapacitors applications are synthesized and tested, using renewable biomass as versatile raw materials with disparate inherent heteroatom and molecular building blocks.
Shengfei Zhou+4 more
wiley +1 more source
Semisupervised Autoencoder for Sentiment Analysis
In this paper, we investigate the usage of autoencoders in modeling textual data. Traditional autoencoders suffer from at least two aspects: scalability with the high dimensionality of vocabulary size and dealing with task-irrelevant words.
Zhai, Shuangfei, Zhang, Zhongfei
core +1 more source