断熱材における伝熱現象とその高精度計測に関する研究

要約のみTohoku University圓山重直課

The social conditions that affect the number of pupils in the private elementary schools of Japan : An introduction to deregulating education policy in the private schools in 2002

The main purpose of this study is to analyze the number of pupils and the factors or social conditions required to meet the student quotas at about 220 private elementary schools in contemporary Japan. The number of private elementary schools in Japan has been increasing since 2002 when the Japanese government introduced a deregulation policy. This policy permitted a variety of private entities, such as NPOs or private companies, to found their own schools. The number of private elementary schools increased by 30% from the late 1990s. As a result of quantitative analysis, we can see that the private elementary schools with that reach student quotas are located in the urban areas and attached to famous senior high schools or universities. The pupils can continue to these attached universities or high schools almost without entrance examinations once they enter and graduate from these elementary schools. Therefore, these schools tend to have more applicants than their capacity. On the other hand, most of the small-sized private schools in the rural areas have been faced with the difficulty of enrolling enough students to meet their quotas. We should know that there are problems in the private elementary schools, from the point of difficult entry criteria to the shortage of pupils at some schools in rural areas. These difficulties arose directly from the policy allowing the establishment of private elementary schools, along with the miscalculations of school managers.論

Predict The Spread of COVID-19 in Iran with A SEIR Model

The current coronavirus disease 2019 (COVID-19) outbreak has recently been declared a pandemic and spread over 200 countries and territories. Forecasting the long-term trend of the COVID-19 epidemic can help health authorities determine the transmission characteristics of the virus and take appropriate prevention and control strategies beforehand. Previous studies that solely applied traditional epidemic models or machine learning models were subject to underfitting or overfitting problems. This paper designed a predictive model based on the mathematical model Susceptible-Exposed-Infective-Recovered (SEIR). SEIR is represented by a set of differential-algebraic equations incorporated with machine learning techniques to fit the data reported to estimate the spread of the COVID-19 epidemic in long-term in the Islamic Republic of Iran up to the end of July 0f 2020. This paper reduced R0 after a certain amount of days to account for containment measures and used delays to allow for lagging official data. Two evaluation criteria, R2 and RMSE, had used in this research which estimates the model on officially reported confirmed cases from different regions in Iran. The results proved the model’s effectiveness in simulating and predicting the trend of the COVID-19 outbreak. Results showed the integrated approach of epidemic and machine learning models could accurately forecast the long-term trend of the COVID-19 outbreak

Presenting an approach based on weighted CapsuleNet networks for Arabic and Persian multi-domain sentiment analysis

Sentiment classification is a fundamental task in natural language processing, assigning one of the three classes, positive, negative, or neutral, to free texts. However, sentiment classification models are highly domain dependent; the classifier may perform classification with reasonable accuracy in one domain but not in another due to the Semantic multiplicity of words getting poor accuracy. This article presents a new Persian/Arabic multi-domain sentiment analysis method using the cumulative weighted capsule networks approach. Weighted capsule ensemble consists of training separate capsule networks for each domain and a weighting measure called domain belonging degree (DBD). This criterion consists of TF and IDF, which calculates the dependency of each document for each domain separately; this value is multiplied by the possible output that each capsule creates. In the end, the sum of these multiplications is the title of the final output, and is used to determine the polarity. And the most dependent domain is considered the final output for each domain. The proposed method was evaluated using the Digikala dataset and obtained acceptable accuracy compared to the existing approaches. It achieved an accuracy of 0.89 on detecting the domain of belonging and 0.99 on detecting the polarity. Also, for the problem of dealing with unbalanced classes, a cost-sensitive function was used. This function was able to achieve 0.0162 improvements in accuracy for sentiment classification. This approach on Amazon Arabic data can achieve 0.9695 accuracies in domain classification

Agriculture in the province of Aleppo in the Mamluk era (648-922 AH / 1250-1516AD): A historical study

The research aims to shed light on agriculture in the province of Aleppo in the Mamluk era (648-922 AH / 1250-1516 AD) through: studying the types of lands, methods of their exploitation, irrigation means and tools, and crops, as well as livestock, and the natural and human obstacles affecting agriculture, and the taxes imposed on it. The importance of the research lies in the fact that it dealt with an economic aspect that did not receive the attention of historians, such as the political aspect, as many researchers refrained from the methods of this type of research that need patience to extrapolate, collect and analyze texts into economic information in light of the lack of historical sources for the availability of accurate information. The research was based on the historical research method. And he reached several results, most notably: The flourishing of agriculture in the Niyabat of Aleppo in certain periods in the Mamluk era under study. The researcher concluded that agriculture in the Aleppo Procuratorate was one of the main tributaries to support the Mamluk economy and state resources and contribute to alleviating the large Mamluk state burdens, such as equipping the armies and contributing to the payment of soldiers’ salaries

On the "ruined" coming-of-age ceremonies

論文 (Article

Research on trends in compulsion and resistance regarding Japan\u27s national flag and anthem

論文 (Article