Building World-Class Universities in Developing Systems: The Success Case of the Indian Institutes of Technology

With a global shift towards knowledge-based economy,universities are required to produce knowledge and cutting-edge technologies to support their respective country’s economy. In response, many countries around the world seek to build their own world-class universities. Altbach (2010, p.1) argues that world-class universities‘demonstrate world class thinking and policy development in the sense that they employ state of the art solutions to pressing challenges of the twenty first century’.However, world-class universities are found only in a few wealthy Western countries. For instance, if one takes a quick glance at Global University Rankings (GUR), nearly every top university is situated in a high-income country. There are exceptions, such as the Indian Institutes of Technology (IIT), which are known to produce the world’s most creative engineers. The GUR of IIT steadily rose over the past few years, drawing much attention from the industry for its unprecedented success. This research aims to trace the successful path of IIT to identify its success factors which may serve as reference points for other developing systems that aim to build world-class universities of their own. The study takes the two most prominent IIT, namely IIT Delhi and IIT Bombay.It also hypothesises and investigates whether the considerable amount of international co-operation activities IIT engaged in at the establishments have played a significant role in its success. The findings of the study showed that IIT’s limited financial resources were complemented by a highly concentrated pool of talented and motivated students,as well as professors who have abundant experiences in top-tier research and technical firms aboard. Another major factor was the government’s dedication. The government focused on creating a favourable environment for the institution and also prioritised IIT in its allocation of financial resources. Meanwhile, the study was unsuccessful in illustrating the role of international cooperation as the two sets of the collected data were contradictive

ポストコロニアリズムにおける高等教育の二国間関係の概念化 -米国・日本と韓国の関係に関する比較分析-

早大学位記番号:新7773早稲田大

Meta-Learning with Adaptive Weighted Loss for Imbalanced Cold-Start Recommendation

Sequential recommenders have made great strides in capturing a user's preferences. Nevertheless, the cold-start recommendation remains a fundamental challenge as they typically involve limited user-item interactions for personalization. Recently, gradient-based meta-learning approaches have emerged in the sequential recommendation field due to their fast adaptation and easy-to-integrate abilities. The meta-learning algorithms formulate the cold-start recommendation as a few-shot learning problem, where each user is represented as a task to be adapted. While meta-learning algorithms generally assume that task-wise samples are evenly distributed over classes or values, user-item interactions in real-world applications do not conform to such a distribution (e.g., watching favorite videos multiple times, leaving only positive ratings without any negative ones). Consequently, imbalanced user feedback, which accounts for the majority of task training data, may dominate the user adaptation process and prevent meta-learning algorithms from learning meaningful meta-knowledge for personalized recommendations. To alleviate this limitation, we propose a novel sequential recommendation framework based on gradient-based meta-learning that captures the imbalanced rating distribution of each user and computes adaptive loss for user-specific learning. Our work is the first to tackle the impact of imbalanced ratings in cold-start sequential recommendation scenarios. Through extensive experiments conducted on real-world datasets, we demonstrate the effectiveness of our framework.Comment: Accepted by CIKM 202

The Utilization of Traditional Herbal Medicine for Treatment in Traditional Korean Medicine Clinics

A cross-sectional study has been conducted to detect the facts about the use of traditional herbal medicines (THMs) in South Korea. The questionnaire has been adopted from the 2017 National Survey for the usage of traditional Korean medicine (TKM) and consumption of THMs. A total number of 1346 participants have been involved in this study. Results showed that the non-decoction types of herbal medicines, which are mostly used for therapeutic purposes (89.0%), and the decoction types of herbal medicines were not only used for the purpose of treatment of diseases (62.5%) but also health improvement purposes (21.9%). Results presented that decoction types of THMs are used for musculoskeletal diseases (56.0%), digestive diseases (21.3%), and respiratory diseases (6.3%), whereas the non-decoction types of THMs are commonly used in musculoskeletal diseases (55.6%), respiratory diseases (20.5%), and digestive diseases (18.1%). Future studies are highly recommended to detect more details about the medical use of THMs in South Korea

Satellite Clustering for Non-Terrestrial Networks: Concept, Architectures, and Applications

Recently, mega-constellations with a massive number of low Earth orbit (LEO) satellites are being considered as a possible solution for providing global coverage due to relatively low latency and high throughput compared to geosynchronous orbit satellites. However, as the number of satellites and operators participating in the LEO constellation increases, inter-satellite interference will become more severe, which may yield marginal improvement or even decrement in network throughput. In this article, we introduce the concept of satellite clusters that can enhance network performance through satellites' cooperative transmissions. The characteristics, formation types, and transmission schemes for the satellite clusters are highlighted. Simulation results evaluate the impact of clustering from coverage and capacity perspectives, showing that when the number of satellites is large, the performance of clustered networks outperforms the unclustered ones. The viable network architectures of the satellite cluster are proposed based on the 3GPP standard. Finally, the future applications of clustered satellite networks are discussed.Comment: 7 pages, 7 figures, 1 table, submitted to IEEE Vehicular Technology Magazin

CHF Enhancement of Advanced 37-Element Fuel Bundles

A standard 37-element fuel bundle (37S fuel bundle) has been used in commercial CANDU reactors for over 40 years as a reference fuel bundle. Most CHF of a 37S fuel bundle have occurred at the elements arranged in the inner pitch circle for high flows and at the elements arranged in the outer pitch circle for low flows. It should be noted that a 37S fuel bundle has a relatively small flow area and high flow resistance at the peripheral subchannels of its center element compared to the other subchannels. The configuration of a fuel bundle is one of the important factors affecting the local CHF occurrence. Considering the CHF characteristics of a 37S fuel bundle in terms of CHF enhancement, there can be two approaches to enlarge the flow areas of the peripheral subchannels of a center element in order to enhance CHF of a 37S fuel bundle. To increase the center subchannel areas, one approach is the reduction of the diameter of a center element, and the other is an increase of the inner pitch circle. The former can increase the total flow area of a fuel bundle and redistributes the power density of all fuel elements as well as the CHF. On the other hand, the latter can reduce the gap between the elements located in the middle and inner pitch circles owing to the increasing inner pitch circle. This can also affect the enthalpy redistribution of the fuel bundle and finally enhance CHF or dry-out power. In this study, the above two approaches, which are proposed to enlarge the flow areas of the center subchannels, were considered to investigate the impact of the flow area changes of the center subchannels on the CHF enhancement as well as the thermal characteristics by applying a subchannel analysis method