The COVID-19 pandemic has witnessed widespread infections and variants. Particularly, Tokyo faced the challenge of seven waves of COVID-19, during which government interventions played a pivotal role. Therefore, gaining a comprehensive understanding of government control measures is of paramount importance, which is beneficial for health authorities in the policy development process.
Our study analysis the daily change data of the daily COVID-19 infection count in Tokyo from January 16, 2020 to September 30, 2022. We utilized adaptive Fourier decomposition (AFD) for analyzing the temporal trends within COVID-19 data. It extends the conventional AFD approach by constructing new components base on multiple individual components at various time-frequency scales. Furthermore, we conducted Pearson correlation assessments of the first to third-order synthesis results, along with comparative analyses against other signal analysis techniques. Ultimately, these new components are integrated with policy data spanning different time periods for a comprehensive analysis.
The analysis of daily COVID-19 data in Tokyo using AFD reveals how various government policies impacted infection rates across seven distinct fluctuation periods. In the decomposition results, the reduction of business hours policy correlated with high-frequency components in the first four waves, while the low-frequency components for the sixth wave suggested a decline in its relevance. The vaccination policy initially displayed a mid-frequency correlation with the fifth wave and continued with a low-frequency correlation in the last wave. Moreover, our statistical analysis (value of p < 0.05) demonstrated that 75% of the third-order AFD components exhibited significant positive correlations with the original infections, while the correlation coefficients of most components in EMD and VMD did not attain significance.
In the time-frequency domain, AFD demonstrates superior performance compared to EMD and VMD in capturing crucial data related to epidemic control measures. The variations in daily COVID-19 infection counts during these seven periods under various policies are evident in distinct third-order AFD components. These findings guide the formulation of future public health policies and social measures.

This study evaluated the predictive value of different laboratory indicators for the severity of acute cholangitis (AC) according to the 2018 Tokyo Guidelines.
We enrolled consecutive patients with a diagnosis of AC from June 2016 to May 2021. Serum procalcitonin (PCT) and C-reactive protein (CRP) levels, white blood cell counts, the neutrophil-lymphocyte ratio, and the platelet-lymphocyte ratio (PLR) were compared according to the severity of AC.
In total, 293 patients were enrolled in this study (mild, n = 172; moderate, n = 68; severe, n = 53). In receiver operating characteristic analyses, CRP was the best biomarker for differentiating mild and moderate AC (area under the curve [AUC] 0.66, 95% confidence interval [CI] 0.58-0.74). PCT was the best biomarker for differentiating mild and severe AC (AUC 0.80, 95% CI 0.74-0.86). Blood culture was performed in 117 patients (39.93%), 53 of whom (45.30%) had positive results. Regarding blood culture positivity, PLR was most predictive (AUC 0.85, 95% CI 0.78-0.92).
PCT can be used as a reliable predictor of severe AC. CRP was most predictive of moderate AC, whereas PLR was most predictive of blood culture positivity.

This study aimed to analyze the impact of hosting large events on the spread of pandemics, taking Tokyo Olympics 2020 as a case study. A risk assessment method for the whole organization process was established, which could be used to evaluate the effectiveness of various risk mitigation measures. Different scenarios for Games participants and Japanese residents during the Tokyo Olympics were designed based on the infection control protocols proposed by the Olympic Committee and local governments. A modified Wells-Riley model considering the influence of social distance, masking and vaccination, and an SIQRV model that introduced the effect of quarantine and vaccination strategies on the pandemic spread were developed in this study. Based on the two models, our predicted results of daily confirmed cases and cumulative cases were obtained and compared with reported data, where good agreement was achieved. The results show that the two core infection control strategies of the bubble scheme and frequent testing scheme curbed the spread of the COVID-19 pandemic during the Tokyo Olympics. Among Games participants, Japanese local staff accounted for more than 60% of the total in positive cases due to their large population and most relaxed travel restrictions. The surge in positive cases was mainly attributed to the high transmission rate of the Delta variant and the low level of immunization in Japan. Based on our simulation results, the risk management flaws for the Tokyo Olympics were identified and improvement measures were investigated. Moreover, a further analysis was carried out on the impact of different preventive measures with respect to minimizing the transmission of new variants with higher transmissibility. Overall, the findings in this study can help policymakers to design scientifically based and practical countermeasures to cope with pandemics during the hosting of large events.

The purpose of this study was to examine the difference of kinematic skill characteristics between the Chinese and world elite female discus athletes. We used the methods of literature, three-dimensional video analysis, and mathematical statistics to compare and analyze the differences of some kinematic parameters between the three Chinese female discus athletes and four world female discus athletes. The result shows that the speed of discus release of the Chinese elite female discus athletes is lower (p < 0.05) than that of the world elite female discus athletes. Compared to the world elite female discus athletes, the height of release is higher (p < 0.05). But there was no significant difference in the angle of release (p > 0.05), rotation rhythm (p > 0.05), and discus speed increment (p > 0.05) in different stages during the throwing procedure from double support stage to delivery stage. The results may provide reference for the special technique training of the Chinese female discus throwers, so as to improve the discus throwing level of Chinese women.

More than 100 human bones, known as the Tokyo Human Bones, were found at the previous site of the Army Medical School in Tokyo, Japan, on July 22, 1989. They were located on the northern side of the previous location of the epidemic prevention research unit of the Army Medical School, with the discovery drawing a great deal of international attention. It was suggested that these bones might be from the victims of human experiments during World War II. It was found, in 1991, by Professor Sakura Shuo in Sapporo University, that the time and location of the burial of these bones was consistent with the existence of the Army Military Medical School. Most of these bones were Chinese, Korean and Mongolian races, and they were indeed closely related to the war. At the time they had not been found to be directly related to the human experiments of the Army Medical School, but the evidence left behind on the bones did not indicate gunshot or other war wounds, but evidence of medical experiments. This incident was known as the \"Tokyo Bone Incident\". Based on the research data on the Tokyo Human Bones internationally in the past 30 years, in particular, the testimony from the staff of the previous Army Medical School in Tokyo and members of the previous Army Medical School in Harbin (Unit 731), it can be concluded that some relationship exists between the Tokyo Human Bones and human experiments. This suggested that the nature of research related to these human bones conducted by the Army Medical School in Tokyo was consistent with those conducted at the Army Medical School in Harbin (Unit 731).
1989年7月22日，建筑施工队在日本东京陆军军医学校旧址施工时发现100多具人骨，该发现地正是在与七三一部队关系密切的陆军军医学校防疫研究室北侧，此事件引起日本国内及国际社会关注，并推测这些人骨可能为人体试验受害者。1991年经札幌大学佐仓朔教授鉴定，得出结论：“这些人骨掩埋的时间与原陆军军医学校存在时期一致，多为亚洲的中国、朝鲜蒙古系人种，确与战争有着密切关联，未发现与七三一部队人体试验有直接关系，但留有的人骨痕迹证明死者绝非因枪伤等战伤死亡，而是医学实验。”这一事件被称为“东京人骨事件”。通过梳理近30年国内外东京人骨相关研究资料，结合前陆军军医学校职员、七三一部队成员证词等，挖掘人骨发现地与七三一部队机构之间的联系，本文认为这些人骨虽无法被直接贴上“马路大”的标签，但有间接证据可以证明其与“马路大”有着某种关联。.

Coronavirus disease 2019 (COVID-19) has caused more than 500 million infections and 6.2 million deaths globally, resulting in numerous sporting events being cancelled or postponed. Therefore, effective control strategies are urgently needed to prevent COVID-19 transmission at these local and global events. This article introduced the strategies utilized at the Tokyo and Beijing Olympics and proposed several measures for future reference.

Exposure to small public urban green spaces (SPUGS) has been demonstrated to have mental benefits for older adults. However, studies on identifying the objective environmental features of SPUGS and their effects on mental restoration for older adults remain limited. This study employed a multilevel regression model to investigate the restorative and vitalizing effects of the environmental features of 11 SPUGS in Tokyo. Onsite measurements were conducted in Kita-Ku, and 202 older adults were surveyed. The results showed that: (1) The fitting curve of the green view index and Restoration Outcome Scale (ROS) score showed an inverted U shape-both green view index and boundary enclosure had a strong impact on the mental restoration of older adults; (2) The colorfulness index showed the strongest relationship with the vitalizing effect. (3) The sky view factor and number of seats only influenced the ROS score, while the results of revitalization suggest that large areas of water should be avoided. (4) Physiological Equivalent Temperature (PET) was also confirmed to have negative effects on the mental restoration of older adults in autumn. These empirical findings can be used as a resource to promote the mental health of older adults in the design of SPUGS in high-density Asian countries.

Many cities advocate retrofitting green roofs and green walls (GRGW) to create additional green areas, especially in cramped urban areas. Yet, worldwide, only a handful of studies have evaluated the public views towards the benefits and negative issues and promotion policies of this innovative greening option. To address this gap in the literature, we conducted a survey (N = 500) of residents\' opinions towards GRGW in Tokyo, a city with mandatory installation of GRGW for almost two decades. Respondents mostly agreed with the contribution of GRGW to thermal comfort, air quality, and cityscape but weakly endorsed other potential benefits. High costs as well as mosquitoes and plant litter nuisances were the most recognized negative issues. Mandatory installation was the least preferred promotion policy. Instead, respondents expected installation on public buildings and provision of installation guidance. Respondents predominantly held a \"moderate\" view towards both the benefits and negative issues, showing indifferent attitudes towards GRGW. Income level and housing type shaped the overall perceptions, whereas age, sex, and current living environment influenced perceptions of individual aspects. Our findings signified a need for a bottom-up strategy to heighten public awareness for the advanced development of GRGW to complement and prime the top-down mandatory installation policy.

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Introduction: As of June 7, 2021, the outbreak of Coronavirus Disease 2019 (COVID-19) has spread to more than 200 countries. The global number of reported cases is more than 172.9 million, with more than 3.7 million deaths, and the number of infected individuals is still growing rapidly. Consequently, events and activities around the world were canceled or postponed, and the preparation for sporting events were greatly challenged. Under such circumstances, about 11,000 athletes from ~206 countries are arriving in Tokyo for the 32nd Summer Olympic Games. Therefore, it is urgently necessary to assess the occurrence and spread risk of COVID-19 for the Games. Objectives: To explore effective prevention and control measures for COVID-19 in large international events through simulations of different interventions according to risk assessment. Methods: We used a random model to calculate the number of initial infected patients and used Poisson distribution to determine the number of initial infected patients based on the number of countries involved. Furthermore, to simulate the COVID-19 transmission, the susceptible-exposed-symptomatic-asymptomatic-recovered-hospitalized (SEIARH) model was established based on the susceptible-exposed-infectious-recovered (SEIR) mathematical model of epidemic diseases. According to risk assessment indicators produced by different scenarios of the simulated interventions, the risk of COVID-19 transmission in Tokyo Olympic Games was assessed. Results: The current COVID-19 prevention measures proposed by the Japan Olympic Committee need to be enhanced. And large-scale vaccination will effectively control the spread of COVID-19. When the protective efficacy of vaccines is 78.1% or 89.8%, and if the vaccination rate of athletes reaches 80%, an epidemic prevention barrier can be established.