Publications by authors named "J Yagi"

Article Synopsis
  • - The study evaluated the effectiveness of a person-centered care program for nurses in acute-care hospitals, comparing it to a dementia-type-specific program over a period from July 2021 to January 2022 across seven hospitals.
  • - Out of 158 participants, those in the intervention group showed significant gains in dementia nursing expertise, medical knowledge, and confidence, along with improvements in ethical sensitivity regarding patient dignity.
  • - The control group also had positive outcomes, particularly in providing care tailored to cognitive function, indicating that both programs have valuable impacts on nursing care in dementia patients.
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Experience of natural disaster was related to an increased risk of long-term child internalizing problems. Initial traumatic experiences are hypothesized to work as disaster-related stresses and sensitize neural circuitry, leading to heightened reactivity to subsequent stressful experiences, which in turn results in delayed onset of internalizing problems. However, empirical evidence is lacking.

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Introduction: Staphylococcus aureus colonizes rough regions of the skin of the hand. Healing of S. aureus-mediated wounds is promoted by the application of RNA III inhibiting peptide, which inhibits the production of S.

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Introduction: Unequal distribution of access to resources would often be highlighted after disasters, and may have impact on child mental health. We aimed to elucidate the association between perception of recovery process (dissatisfaction and perceived inequality) and child mental health.

Method: Data from the Great East Japan Earthquake Follow-up for Children (GEJE-FC) study targeting children (aged 4-6 years at the time of the disaster) and their siblings and parents from three affected prefectures (Miyagi, Fukushima and Iwate) in Japan, from August 2012 to January 2018, were analyzed.

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Article Synopsis
  • - The study developed an AI system for diagnosing uterine cervical lesions using 463 colposcopic images and compared its accuracy with traditional diagnoses from gynecologists.
  • - AI showed varying accuracy rates: 57.8% for normal lesions, and lower rates for cervical intraepithelial neoplasia (CIN) and invasive cancer, while gynecologists had initial accuracy rates of around 54% for CIN2-3 and 39% for invasive cancer.
  • - After being informed of the AI diagnoses, gynecologists improved their accuracy, indicating that AI-assisted image diagnosis (AISD) significantly enhances the diagnostic capability for invasive cancer and shows potential benefits for CIN2-3.
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