The surface characteristics (presentational or design elements) of online content have been the focus of a growing body of credibility literature in recent decades. However, since the online health information communities such as WebMD do not provide any design options when writing comments on the original post, how the simplistic presentational of comments (e.g., spacing, bullet-points, labeling, and line breaks) can affect web users' responses was examined. Our study found that minimal variations in the presentation of online contents can influence assessments of their credibility and behavioral intentions. In addition, the current study revealed interaction effects between surface characteristics and source expertise. Other findings and implications are discussed.
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http://dx.doi.org/10.1080/10410236.2017.1323364 | DOI Listing |
JMIR Ment Health
December 2024
Karakter Child and Adolescent Psychiatry University Centre, Nijmegen, Netherlands.
Background: The FAIR (Findable, Accessible, Interoperable, Reusable) data principles are a guideline to improve the reusability of data. However, properly implementing these principles is challenging due to a wide range of barriers.
Objectives: To further the field of FAIR data, this study aimed to systematically identify barriers regarding implementing the FAIR principles in the area of child and adolescent mental health research, define the most challenging barriers, and provide recommendations for these barriers.
J Mol Biol
December 2024
School of Biological Sciences, University of Edinburgh, Roger Land Building, Edinburgh EH9 3FF.
Molecular dynamics (MD) simulations can be used by protein scientists to investigate a wide array of biologically relevant properties such as the effects of mutations on a protein's structure and activity, or probing intermolecular interactions with small molecule substrates or other macromolecules. Within the world of computational structural biology, several programs have become popular for running these simulations, but each of these programs requires a significant time investment from the researcher to run even simple simulations. Even after learning how to run and analyse simulations, many elements remain a "black box.
View Article and Find Full Text PDFHuan Jing Ke Xue
January 2025
Overseas Expertise Introduction Center for Discipline Innovation of Watershed Ecological Security in the Water Source Area of the Mid-line Project of South-to-North Water Diversion, Nanyang 473061, China.
The coexistence of microplastics and heavy metals in soil can lead to more intricate environmental effects. While plant growth-promoting bacteria have been widely recognized for enhancing the remediation of heavy metal-contaminated soils, little research has been conducted to investigate whether they can alleviate the stress of microplastic-heavy metal composite contamination on plants. We investigated the effects of isolated and screened plant growth-promoting bacteria on the growth and cadmium (Cd) accumulation of under the composite pollution of Cd and polypropylene (PP) with different particle sizes (6.
View Article and Find Full Text PDFFront Chem
November 2024
African Society for Bioinformatics and Computational Biology, Cape Town, South Africa.
Introduction: Homology modeling is a widely used computational technique for predicting the three-dimensional (3D) structures of proteins based on known templates,evolutionary relationships to provide structural insights critical for understanding protein function, interactions, and potential therapeutic targets. However, existing tools often require significant expertise and computational resources, presenting a barrier for many researchers.
Methods: Prostruc is a Python-based homology modeling tool designed to simplify protein structure prediction through an intuitive, automated pipeline.
BMJ Ment Health
December 2024
Centre for Engineering Biology and School of Biological Sciences, University of Edinburgh, Edinburgh, UK
Data sharing is a cornerstone of modern scientific research, playing a critical role in fostering greater collaboration, enhancing reproducibility, transparency and efficiency of scientific discoveries, and integrating diverse data sources. In circadian rhythm research, data sharing is particularly important due to the complexity and heterogeneity of the data, which includes molecular profiles, physiological measurements, clinical data and sensor-based data. UK research funders, such as Medical Research Council, Wellcome Trust and UK Research and Innovation, have established data-sharing policies to promote open science and enhance research transparency.
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