Explore the vast range of titles available.

In recent years, power allocation in cellular networks has become increasingly crucial with the rapid development of mobile communications. This report presents a comparison of different power allocation approaches, including Deep Q-Network (DQN), Policy Gradient, Fractional Programming (FP), and Weighted Minimum Mean Square Error (WMMSE). The study first constructs a grid-based multi-cell downlink cellular network environment that incorporates practical features such as path loss, channel fading, and interference models. Through experiments, the study evaluates these methods in terms of performance, computational efficiency, and stability. The results show that DQN achieves a balanced performance with an average reward of 1.52 and runtime of 316-349 seconds, while WMMSE achieves slightly higher performance (1.58) but requires significantly more computational resources (850 seconds). The findings show that deep reinforcement learning approaches, particularly DQN, offer promising solutions for power allocation in cellular networks, combining strong performance with reasonable computational efficiency. This study aims to explore the impact of different methods in Power Management in Cellular Networks.

To date, more than 170 chemical modifications have been characterized in RNA, providing a new layer of gene expression regulation termed the ‘epitranscriptome’. RNA modification detection methods and tools advance the functional studies of the epitranscriptome. According to the detection throughput and principles, existing RNA modification detection technologies can be categorized into four classes, including quantification methods, locus-specific detection methods, next-generation sequencing-based detection technologies and nanopore direct RNA sequencing-based technologies. In this review, we summarize the current knowledge about these RNA modification detection technologies and discuss the challenges for the existing detection tools, providing information for a comprehensive understanding of the epitranscriptome. RNA modifications: Comparing detection tools Improved methods for detecting chemical modifications of RNA will help to understand the epitranscriptome, the collection of RNA modifications in a cell. Chemical modifications to RNA molecules do not alter the sequence, but can nonetheless greatly affect RNA function. More than 170 RNA modifications have been discovered over the past 60 years and their effects are analogous to epigenetic modifications of DNA. Xiaoyu Li and co-workers at Zhejiang University School of Medicine in Hangzhou, China, reviewed existing tools for detecting RNA modifications. These tools, which are developed based on the inherent chemical properties of RNA modifications, vary in sensitivity, quantification, specificity and accuracy. The researchers also summarize the recent progress in nanopore direct RNA sequencing based detection technology and are optimistic that future advances will enable detection of different modifications simultaneously in the single molecules.

This paper aims to investigate the connection between overall environmental quality and human development. Based on China’s provincial panel data from 2004 to 2017, this study constructed the Environment Degradation Index ( EDI ) and Human Development Index ( HDI ) to measure environmental pollution and human development, respectively, and it used the Simultaneous Equations Model (SEM) to assess the relationship between them. The results showed that there was an inverted U-shaped relationship found between EDI and HDI , and the coefficients of the first and second power of HDI were 5.2781 and -2.3476, respectively. Meanwhile, the results also confirmed that environmental pollution, in turn, delayed regional economic growth, and every 0.01 unit increase in EDI was correlated with a 3.15% decrease in GDP per capita. It is recommended that the government should speed up human development to surpass the turning point of the inverted U-shaped curve soonest possible.

In this paper the integration of international understanding into design education will be discussed. Through an exposition of UNESCO's concept of Education for international understanding. I will discuss the fundamental goal of promoting world peace and the artistic vision of “understanding”. It will discuss what positive educational explorations and practices design education can undertake to expand the humanistic connotations of international understanding, promote intercultural understanding, and peaceful and friendly development, and what basic qualities it should cultivate.

This comparative study delves into the foreign labor policies of Malaysia and Singapore, two prominent host countries for foreign workers in Southeast Asia. Despite their historical, cultural, and developmental similarities, these nations exhibit variations in the efficiency of their foreign labor policies. Employing the Most Similar System Design (MSSD) approach, this research explores three key explanatory variables: economic factors related to industrial structures, differences in governance systems, and cultural backgrounds. The study finds that these factors significantly shape the formulation and effectiveness of foreign labor policies. The analysis reveals that Singapore outperforms Malaysia in leveraging foreign worker policies to drive economic transformation, enhance competitiveness, and manage the impact of foreign labor. Factors contributing to this discrepancy include the divergence in industrial structures, variations in governance systems, and the influence of cultural backgrounds. Singapore's unitary system, focus on high-skilled foreign workers, and non-racial political landscape contribute to its policy efficiency, while Malaysia's federal structure, lowerskilled labor demand, and communal politics impact its policy effectiveness.