Results 61 to 70 of about 108,448 (307)
Objective We aimed to assess differences in baseline characteristics, efficacy, and safety of advanced therapies between male and female patients with axial spondyloarthritis (axSpA) in randomized controlled trials (RCTs). Methods We conducted a systematic literature search for RCTs assessing the efficacy of advanced therapies in patients with axSpA ...
Angel Gao+5 more
wiley +1 more source
Abstract This study examines whether internet usage among micro and small enterprises (MSEs) could influence household membersʼ use of the internet in terms of intensity as well as usage for productive activities. Using longitudinal data from MSEs in Yogyakarta, Indonesia, covering the period before and during the COVID‐19 pandemic, the study finds ...
Niken Kusumawardhani+3 more
wiley +1 more source
Towards the Creation of a Nutrition and Food Group Based Image Database [PDF]
Food classification is critical to the analysis of nutrients comprising foods reported in dietary assessment. Advances in mobile and wearable sensors, combined with new image based methods, particularly deep learning based approaches, have shown great promise to improve the accuracy of food classification to assess dietary intake.
arxiv
Objective Walk With Ease (WWE) is a six‐week arthritis‐appropriate evidence‐based physical activity program traditionally offered in a face‐to‐face format. Because many populations encounter participation barriers to in‐person programs, WWE was modified for telephone delivery (WWE‐T).
Christine A. Pellegrini+5 more
wiley +1 more source
A global survey of changing patterns of food allergy burden in children
While food allergies and eczema are among the most common chronic non-communicable diseases in children in many countries worldwide, quality data on the burden of these diseases is lacking, particularly in developing countries.
Susan L Prescott+9 more
doaj
Information Extraction of Clinical Trial Eligibility Criteria [PDF]
Clinical trials predicate subject eligibility on a diversity of criteria ranging from patient demographics to food allergies. Trials post their requirements as semantically complex, unstructured free-text. Formalizing trial criteria to a computer-interpretable syntax would facilitate eligibility determination.
arxiv
An End-to-End Food Image Analysis System [PDF]
Modern deep learning techniques have enabled advances in image-based dietary assessment such as food recognition and food portion size estimation. Valuable information on the types of foods and the amount consumed are crucial for prevention of many chronic diseases.
arxiv
You are what you eat: A social media study of food identity [PDF]
Food preferences not only originate from a person's dietary habits, but also reflect personal values and consumer awareness. This study addresses `food identity' or the relationship between food preferences and personal attributes based on the concept of `food left-wing' (e.g., vegetarians) and `food right-wing' (e.g., fast-food lovers) by analyzing ...
arxiv +1 more source
Making Photoresponsive Metal–Organic Frameworks an Effective Class of Heterogeneous Photocatalyst
This review summarizes photoresponsive MOFs for photocatalytic applications, focusing on their capacity to enhance light harvesting, charge transfer, and surface reactions. While existing studies provide foundational insights, emerging characterization techniques enable a deeper understanding of photoresponsive MOFs.
Rui Liu+3 more
wiley +1 more source
A Multi-Variate Triple-Regression Forecasting Algorithm for Long-Term Customized Allergy Season Prediction [PDF]
In this paper, we propose a novel multi-variate algorithm using a triple-regression methodology to predict the airborne-pollen allergy season that can be customized for each patient in the long term. To improve the prediction accuracy, we first perform a pre-processing to integrate the historical data of pollen concentration and various inferential ...
arxiv