Texture is one of the key perceptions that enable to comprehend the nature of multimodal signals from the environment according to their type and condition and convert them into a logical output in the central nervous system. Neuroimaging and some clinical studies have proven the importance of the ventral visual pathway in visual texture recognition. Although Alzheimer’s disease and dementia with Lewy bodies are believed to cause visual impairments, texture visualization has not been sufficiently investigated. In this paper, the author provides an overview of human visual texture sensation and focuses on texture recognition disorders in patients with cerebrovascular disease and dementia.

A total fertility rate (TFR) of 2.07 is considered necessary for demographic stability in developed countries, but Japan’s TFR (1.30) ranked 35th among 38 OECD countries in 2021. There is a great need for studies about TFR recovery. However, one inhibiting factor is how to adjust for the unstable TFR in small municipalities such as islands. Previous studies proposed methods using standard population or Bayesian correction. A second factor is the nationwide major mergers inhibiting continuous long-term observation of municipalities.

In this study, all municipalities (2000-2020) were divided into 335 secondary medical areas (SMAs). These were divided into two groups: the 26 highest-TFR SMAs showing an increasing trend, and the 12 lowest-TFR SMAs showing a decreasing trend. A total of 18-49-year-old 700 women were selected and administered an anonymous questionnaire. Binary logistic regression analysis revealed that respondents living on islands (odds ratio=26.75) and those whose final education level was high school (1.47) were more likely to belong to highest-TFR group, and that respondents who lived in cities (0.47), were never married (0.35), were married (first marriage) (0.54), and were housewives (0.53) less likely to belong to the highest-TFR group. In addition, the synergy analysis between co-occurrence network words and quantitative analysis showed that Kyushu Region and Okinawa Prefecture, where TFR values are high or rising over time, could be more accurately studied by the new method of ensuring that all the data, including that of small municipalities, is used rather than applying statistical adjustments. The results indicated that women in the highest-TFR group had high expectations for financial subsidies provided by local governments for each stage of pregnancy, childbirth, and childcare. There was no difference in the values toward children, suggesting the need to enhance financial support and maintain a detailed, multi-layered service system surrounding pregnancy, childbirth, and childcare.

The purpose of study: A new code editing screen has been added to Fatsia, a software that supports Bayesian simulations on RStan, enabling users to create their own models. The purpose of this study is to examine the possibility and practicality of implementing the input completion function on this editing screen. Materials and Methods: Three specifications were defined for the input completion function: an autocomplete function, a snippet function, and a completion function for filenames and folder paths. The display timing of predictive candidate words was limited to simple cases. Results: An input completion function that displays a context menu on the new code editing screen of Fatsia was implemented and distributed. To assess its effectiveness, the number of keystrokes was compared between cases where the input completion function was used and cases where it was not, using sample text. The input completion function proved successful in reducing the amount of typing work required. Discussion: This study showed that limiting specifications enabled the construction of a simple input completion function for program source code in a relatively easy manner. The implementation of this input completion function led to reduced input time and fewer typing errors. Moreover, it is believed that the combination of this function with an existing template feature can enhance the overall utility of Fatsia. The performances of RStudio, IntelliSense in Visual Studio, and Fatsia were compared, and future improvements to Fatsia’s input completion function were considered.