How changes in laughter predict work engagement and workaholism: reciprocal relationships among Japanese employees.

Laughter is related to better well-being in daily life. Previous cross-sectional research among employees showed a positive relationship between laughter and work-related well-being (i.e.

Frequency of laughter and work engagement among Japanese employees: a cross-sectional study during COVID-19.

Laughter is associated with better health and occurs most frequently during casual conversations. However, the COVID-19 pandemic has impaired social interactions, which may have reduced the frequency of laughter and led to poor well-being among workers. This study investigated the relationship between laughter frequency and work engagement among Japanese employees during the pandemic.

New Lifestyles Due to COVID-19 and Behavior of Young People Attending Universities in Japan.

The novel coronavirus infection (hereinafter, this is called COVID-19) broke out in 2019. I6 January 2020, positive cases of infection were confirmed in Japan, which forced the closure of elementary and junior high schools, voluntary restraint from going out based on a declaration of a state of emergency, and cancellation of events. After more than two years, the world is gradually beginning to move toward a new normal.

Agent-based model using GPS analysis for infection spread and inhibition mechanism of SARS-CoV-2 in Tokyo.

Analyzing the SARS-CoV-2 pandemic outbreak based on actual data while reflecting the characteristics of the real city provides beneficial information for taking reasonable infection control measures in the future. We demonstrate agent-based modeling for Tokyo based on GPS information and official national statistics and perform a spatiotemporal analysis of the infection situation in Tokyo. As a result of the simulation during the first wave of SARS-CoV-2 in Tokyo using real GPS data, the infection occurred in the service industry, such as restaurants, in the city center, and then the infected people brought back the virus to the residential area; the infection spread in each area in Tokyo.

Evolution of Public Opinion on COVID-19 Vaccination in Japan: Large-Scale Twitter Data Analysis.

Background: Vaccines are promising tools to control the spread of COVID-19. An effective vaccination campaign requires government policies and community engagement, sharing experiences for social support, and voicing concerns about vaccine safety and efficiency. The increasing use of online social platforms allows us to trace large-scale communication and infer public opinion in real time.

Cashless Japan: Unlocking Influential Risk on Mobile Payment Service.

In Japan, cashless is not yet popular but government and companies are devoted to the development of mobile payment methods. This research collected 241 Japanese users and applied decision trees algorithm. Six types of perceived risks (financial, privacy, performance, psychological, security, and time) were used and the categorized class is intention to use mobile payment (low, medium, and high).

Even Bad Social Norms Promote Positive Interactions.

Social norms for cooperation are often supported by positive and negative sanctions. Simultaneously, positive interactions in human relationships via sanctions are promoted by positive social behavior. This study investigates the relationship between social behavior and sanctions based on economic laboratory experiments.

Don't rely too much on trees: Evidence from flood mitigation in China.

Combining a popular flood disaster dataset with climate data and satellite land cover data from China, this paper estimates how forests mitigate the frequency of flooding, resulting in two major findings. First, we confirm that an increase in forest area mitigates the possibility of flood occurrence even after controlling for socioeconomic and meteorological variables and time-invariant individual effects. Second, broadleaf trees and mixed-tree forests have a flood mitigation effect, whereas coniferous trees do not; these results are robust against alternative model specifications.

The future of health systems to 2030: a roadmap for global progress and sustainability.

Most research on health systems examines contemporary problems within one, or at most a few, countries. Breaking with this tradition, we present a series of case studies in a book written by key policymakers, scholars and experts, looking at health systems and their projected successes to 2030. Healthcare Systems: Future Predictions for Global Care includes chapters on 52 individual countries and five regions, covering a total of 152 countries.

Food loss rate in food supply chain using material flow analysis.

The food loss rate is a factor that represents food consumption efficiency. To improve food consumption efficiency, we need to fundamentally quantify food loss at national and global levels. This study examines food and food waste flow and calculates the food loss rate in the food supply chain by targeting Japan.

Ortholog-Finder: A Tool for Constructing an Ortholog Data Set.

Orthologs are widely used for phylogenetic analysis of species; however, identifying genuine orthologs among distantly related species is challenging, because genes obtained through horizontal gene transfer (HGT) and out-paralogs derived from gene duplication before speciation are often present among the predicted orthologs. We developed a program, "Ortholog-Finder," to obtain ortholog data sets for performing phylogenetic analysis by using all open-reading frame data of species. The program includes five processes for minimizing the effects of HGT and out-paralogs in phylogeny construction: 1) HGT filtering: Genes derived from HGT could be detected and deleted from the initial sequence data set by examining their base compositions.