Effects of the project on enhancement of teaching skills in gerontic nursing practice of Indonesian nursing lecturer and clinical nurse preceptor.

The Indonesia health care services require knowledgeable and skilled nurses as professional service providers, especially in a gerontic nursing area. Moreover, widening the gap between academic and clinical practice is also an issue, which affects the care service quality. In these circumstances, the project to enhance the educational skills of nursing lecturers and clinical nurse preceptors in gerontic nursing practice was started in 2020. Japanese nursing education experts provided guidance on the principle theory of nursing practice in basic nursing education and conducted workshops to develop nursing practice materials for 10 Indonesian trainees. The project provided 3 webinars for more than 100 Indonesian nursing lecturers and preceptors each time, 18 workshops and developed 2 virtual reality (VR) materials, 8 supervisions of the trial class and 5 lectures onsite and online. This study aimed to clarify the effects of the project evaluated in the process and its impact using a questionnaire survey and interviews conducted. The results of the questionnaire survey for students showed that 20% of their knowledge and skills in gerontic nursing, increased and the extent of understanding and satisfaction was high. Lecurers and preceptors perceived improvement in their teaching skills, especially in theoretical thinking and evidence-based teaching methods. Notably, "the evaluation from others" would be a facilitating factor of the project. The project effects were clarified and achieved the goal and objectives of the project.

Does novel food differ in cultural contexts? A comparative analysis of Japanese and Singaporean cultural acceptance through text analysis of mass media.

Novel foods include foods which are expected to be major sources of protein, such as cultured meat and insects. They can reduce environmental impacts due to production. However, producing such novel foods involves ethical considerations including social acceptance. The discourse related to novel foods is expanding; hence, this study analyzed them through news articles, comparing Japan and Singapore. The former uses spearheading technology to produce cultured meat, and the latter is in the early phase of cultured meat production while still using insects as a traditional source of protein for the diet. This study identified the characteristics of the discourse of novel foods using text analysis methods comparing Japan and Singapore. Specifically, contrasting characteristics were identified based on different sets of cultural and religious norms and backgrounds. Japan has a tradition of entomophagy, and a startup private company was highlighted in mass media. In Singapore, although the country is one of the leading countries producing novel foods, entomophagy itself is not popular; this is because major religions in Singapore do not recommend or prohibit eating insects. For the government policy, the specific standards of entomophagy and cultured meat are still in development in Japan and other majority of countries. We propose an integrated analysis of standards for novel foods, and social acceptance is needed to provide insights into the development of novel foods.

Inverse Versus Normal Behavior of Interactions, Elucidated Based on the Dynamic Nature with QTAIM Dual-Functional Analysis.

In QTAIM dual-functional analysis, Hb(rc) is plotted versus Hb(rc) - Vb(rc)/2 for the interactions, where Hb(rc) and Vb(rc) are the total electron energy densities and potential energy densities, respectively, at the bond critical points (BCPs) on the interactions in question. The plots are analyzed by the polar (R, θ) coordinate representation for the data from the fully optimized structures, while those from the perturbed structures around the fully optimized structures are analyzed by (θp, κp). θp corresponds to the tangent line of the plot, and κp is the curvature; θ and θp are measured from the y-axis and y-direction, respectively. The normal and inverse behavior of interactions is proposed for the cases of θp > θ and θp < θ, respectively. The origin and the mechanism for the behavior are elucidated. Interactions with θp < θ are typically found, although seldom for [F-I-∗-F]-, [MeS-∗-TeMe]2+, [HS-∗-TeH]2+ and CF3SO2N-∗-IMe, where the asterisks emphasize the existence of BCPs in the interactions and where [Cl-Cl-∗-Cl]- and CF3SO2N-∗-BrMe were employed as the reference of θp > θ. The inverse behavior of the interactions is demonstrated to arise when Hb(rc) - Vb(rc)/2 and when the corresponding Gb(rc), the kinetic energy densities at BCPs, does not show normal behavior.

Development of a prognostic prediction support system for cervical intraepithelial neoplasia using artificial intelligence-based diagnosis.

OBJECTIVE: Human papillomavirus subtypes are predictive indicators of cervical intraepithelial neoplasia (CIN) progression. While colposcopy is also an essential part of cervical cancer prevention, its accuracy and reproducibility are limited because of subjective evaluation. This study aimed to develop an artificial intelligence (AI) algorithm that can accurately detect the optimal lesion associated with prognosis using colposcopic images of CIN2 patients by utilizing objective AI diagnosis. METHODS: We identified colposcopic findings associated with the prognosis of patients with CIN2. We developed a convolutional neural network that can automatically detect the rate of high-grade lesions in the uterovaginal area in 12 segments. We finally evaluated the detection accuracy of our AI algorithm compared with the scores by multiple gynecologic oncologists. RESULTS: High-grade lesion occupancy in the uterovaginal area detected by senior colposcopists was significantly correlated with the prognosis of patients with CIN2. The detection rate for high-grade lesions in 12 segments of the uterovaginal area by the AI system was 62.1% for recall, and the overall correct response rate was 89.7%. Moreover, the percentage of high-grade lesions detected by the AI system was significantly correlated with the rate detected by multiple gynecologic senior oncologists (r=0.61). CONCLUSION: Our novel AI algorithm can accurately determine high-grade lesions associated with prognosis on colposcopic images, and these results provide an insight into the additional utility of colposcopy for the management of patients with CIN2.