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There is a rapid shifting of media: from printed paper to computer screens. This transition is modifying the process of how we read and understand text. The efficiency of reading is dependent on how ergonomically the visual information is presented. Font types and size characteristics have been shown to affect reading. A detailed investigation of the effect of the font type and size on reading on computer screens has been carried out by using subjective, objective and physiological evaluation methods on young adults. A group of young participants volunteered for this study. Two types of fonts were used: Serif fonts (Times New Roman, Georgia, Courier New) and Sans serif fonts (Verdana, Arial, Tahoma). All fonts were presented in 10, 12 and 14 point sizes. This study used a 6 X 3 (font type X size) design matrix. Participants read 18 passages of approximately the same length and reading level on a computer monitor. Reading time, ranking and overall mental workload were measured. Eye movements were recorded by a binocular eye movement recorder. Reading time was minimum for Courier New l4 point. The participants' ranking was highest and mental workload was least for Verdana 14 point. The pupil diameter, fixation duration and gaze duration were least for Courier New 14 point. The present study recommends using 14 point sized fonts for reading on computer screen. Courier New is recommended for fast reading while for on screen presentation Verdana is recommended. The outcome of this study will help as a guideline to all the PC users, software developers, web page designers and computer industry as a whole.
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J Adolesc Health
August 2025
Jimmy and Rosalynn Carter School of Public Policy, Georgia Institute of Technology, Atlanta, Georgia.
Purpose: Efforts to reduce the use of congregate care (CC) as an out-of-home placement (OHP) are motivated by studies linking CC to delinquency and other adverse outcomes. However, because CC is an OHP of last resort, associations may reflect pre-existing behavioral health differences between adolescents in CC versus other OHPs. Thus, this study examines the following 3 questions: (1) Is CC associated with delinquency, net of pre-existing behavioral health?; (2) Does the association between CC and delinquency vary as a function of children's pre-existing behavioral health?; and (3) Do these associations differ during verse after placement?
Methods: The study examines all youth (11-17 years) entering OHP in Pennsylvania in 2015-2018.
Thromb Res
September 2025
Department of Internal Medicine, Hospital Universitario 12 de Octubre, Madrid, Spain.
Introduction: The incidence of splanchnic vein thrombosis (SVT) in cancer patients has increased in recent years due to improved survival rates and the widespread use of scheduled radiological tests. However, studies describing the long-term prognosis and benefits of anticoagulant treatment are scarce. The objectives were to describe long-term prognosis and to compare outcomes based on anticoagulant treatment during a one-year follow-up.
View Article and Find Full Text PDFRes Involv Engagem
July 2025
Department of Sport, Leisure & Childhood Studies, Munster Technological University, Bishopstown, Cork, T12 P928, Ireland.
Background: Individuals with severe mental illness (SMI) engage in less physical activity (PA) and experience an earlier mortality rate than the general population. PA offers individuals with SMI multiple benefits, improving their physical and mental health. However, barriers are present that minimise the engagement of individuals with SMI in PA, including SMI symptoms, a lack of motivation, a lack of support and a lack of PA knowledge.
View Article and Find Full Text PDFBMJ Open
June 2025
Consortium for Biomedical Research in Epidemiology and Public Health-CIBERESP, Barcelona, Spain.
Introduction: Patient safety incidents during healthcare cause a high burden and mortality, but many go unreported. Involving patients and caregivers in the identification and reporting of safety incidents would add value to the current incident reporting systems used by health professionals. Identifying and analysing patient safety incidents is essential to prevent future events, allowing organisations to apply a learning-from-error approach and to implement improvement plans.
View Article and Find Full Text PDFJ Open Source Softw
April 2025
Office of Research and Development. United States Environmental Protection Agency.
While different text mining approaches - including the use of Artificial Intelligence (AI) and other machine based methods - continue to expand at a rapid pace, the tools used by researchers to create the labeled datasets required for training, modeling, and evaluation remain rudimentary. Labeled datasets contain the target attributes the machine is going to learn; for example, training an algorithm to delineate between images of a car or truck would generally require a set of images with a quantitative description of the underlying features of each vehicle type. Development of labeled textual data that can be used to build natural language machine learning models for scientific literature is not currently integrated into existing manual workflows used by domain experts.
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