Publications by authors named "Y Sen"
Background: In nursing education, greater emphasis should be placed on stakeholder perspectives, and these perspectives should be integrated into the educational process. Stakeholder perspectives are of great importance in determining the extent to which graduates achieve program competencies, and if necessary, in revising these competencies based on the relevant feedback.
Objective: This study aimed to determine stakeholder perspectives on the acquisition of nursing program competencies by graduates of undergraduate nursing programs.
Article Synopsis
- Nocturia, or frequent nighttime urination, is a common symptom in patients with lower urinary tract syndrome (LUTS), and its link to ulcerative colitis (UC) has not been widely studied.
- A study was conducted with 287 Japanese UC patients, who were categorized based on their nighttime urination frequency and evaluated for mucosal healing (MH) and clinical remission (CR) using survey data.
- Results indicated that higher frequencies of nighttime urination are associated with lower rates of mucosal healing, particularly in younger patients and those in clinical remission, suggesting that nocturia could be a potential indicator of disease status in UC patients.
The otolith organs located in the inner ear of the fish are responsible for vital activities such as balance and hearing. Abnormalities in these organs can adversely affect the vital activities of the fish species. The main purpose of the study is to analyze the abnormalities in the otoliths of Sarpa salpa, known as the hallucinogenic fish.
View Article and Find Full Text PDFTraditional cognitive assessments in schizophrenia are time-consuming and necessitate specialized training, making routine evaluation challenging. To overcome these limitations, this study investigates the feasibility and advantages of utilizing smartphone-based assessments to capture both cognitive functioning and digital phenotyping data and compare these results to gold standard measures. We conducted a secondary analysis of data from 76 individuals with schizophrenia, who were recruited across three sites (one in Boston, two in India) was conducted.
View Article and Find Full Text PDFBackgrounds: Acute Appendicitis (AA) is one of the most common surgical emergencies worldwide. This study aims to investigate the predictive performances of 6 different Machine Learning (ML) algorithms for simple and complicated AA.
Methods: Data regarding operated AA patients between 2012 and 2022 were analyzed retrospectively.