The purpose of this research was to pilot-test the effectiveness of an online learning module focused on smoking for an undergraduate general education fitness and wellness course. Students enrolled in a required fitness and wellness course were given the opportunity to participate. Participants (n = 510) completed a brief demographic questionnaire and a 10-question pretest about the effects of smoking before viewing a 15-minute presentation about the effects of smoking and completing the same 10 questions as a post-test. Repeated measures ANOVAs were conducted to evaluate knowledge gains. An overall time effect was observed (pretest score 4.9 +/- 1.3, post-test score 7.2 +/- 2.1). Significantly greater knowledge gains were found in nonsmokers (2.1 +/- 2.2) than in smokers (1.1 +/- 2.2). Females (2.3 +/- 2.3) had significantly greater knowledge gains than males (1.5 +/- 2.2). Evidence supporting the effectiveness of the online learning module included significant knowledge gains for both smokers and nonsmokers, and the participants who smoked agreed the online learning module encouraged them to quit. In this research, students were also grouped by major (health-related majors vs non-health-related). There were 118 health-related majors in the sample, with 110 of those students completing the entire learning module. In this research, a learning module for college students was developed, but practical applications are provided not only for college health instructors but also for allied health professionals.
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Adv Physiol Educ
January 2025
Department of Physiology, Government medical college and hospital, Sector 32 Chandigarh, India.
This research focuses on Generation Z (Gen Z) students, specifically those in nursing colleges. Gen Z individuals display unique characteristics in terms of thinking, personality, lifestyle, and learning preferences compared to preceding generations, necessitating adaptations in teaching methodologies within nursing schools. This study explores the effectiveness of the Jigsaw Technique (JST) in engaging first-year undergraduate nursing students in learning process.
View Article and Find Full Text PDFPhys Med Biol
January 2025
Charles Sturt University, Albury-Wodonga, NSW, Albury, New South Wales, 2640, AUSTRALIA.
Bone is a common site for the metastasis of malignant tumors, and Single Photon Emission Computed Tomography (SPECT) is widely used to detect these metastases. Accurate delineation of metastatic bone lesions in SPECT images is essential for developing treatment plans. However, current clinical practices rely on manual delineation by physicians, which is prone to variability and subjective interpretation.
View Article and Find Full Text PDFMed Image Anal
January 2025
Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA. Electronic address:
The relationship between brain connections and non-imaging phenotypes is increasingly studied using deep neural networks. However, the local and global properties of the brain's white matter networks are often overlooked in convolutional network design. We introduce TractGraphFormer, a hybrid Graph CNN-Transformer deep learning framework tailored for diffusion MRI tractography.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Rheumatology, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, P.R. China.
Introduction: Lupus nephritis (LN) is one of the most frequent and serious organic manifestations of systemic lupus erythematosus (SLE). Autophagy, a new form of programmed cell death, has been implicated in a variety of renal diseases, but the relationship between autophagy and LN remains unelucidated.
Methods: We analyzed differentially expressed genes (DEGs) in kidney tissues from 14 LN patients and 7 normal controls using the GSE112943 dataset.
PLoS One
January 2025
School of Business Economics, European Union University, Montreux, Switzerland.
As people's material living standards continue to improve, the types and quantities of household garbage they generate rapidly increase. Therefore, it is urgent to develop a reasonable and effective method for garbage classification. This is important for resource recycling and environmental improvement and contributes to the sustainable development of production and the economy.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!