Chinese Science Bulletin

The rapid growth of cloud computing has led to a significant increase in energy consumption, posing major environmental and economic concerns. Data centers consume approximately 7% of global electricity, a figure expected to rise to 13% by 2030, contributing 2% of global emissions, comparable to the aviation industry. Current frameworks face challenges such as high energy consumption, poor job scheduling, non-adaptability to dynamic environments, and model optimization issues. These limitations necessitate the development of more efficient and adaptable solutions. This research proposes an

The ceramic tile sector in Peru faces significant challenges related to the efficiency and quality of production processes. Previous studies have shown substantial improvements with the implementation of Lean Manufacturing in various industries, but its specific application in the Peruvian ceramic tile sector has been little explored, justifying this research. Critical issues include high levels of waste, low productivity, and lack of standardization. These problems, aggravated by global competition, require immediate solutions. The implementation of Lean Manufacturing and TPM tools, such as 5

Ischemic heart disease (IHD) remains a leading cause of death worldwide, necessitating robust predictive models for early intervention. Traditional risk assessments lack the precision required for timely detection and prevention, highlighting the critical need for advanced machine learning (ML) models. This review comprehensively examines recent advancements in ML-based IHD prediction models. It focuses on supervised, unsupervised, and reinforcement learning techniques, detailing their objectives, performance metrics, limitations, and datasets. The analysis reveals that Random Forest and Su

The quality and continuity of communication links via air transmission media are essential in cellular communications in urban, suburban, and rural areas. The magnitude of path loss that occurs along the channel affects the quality and continuity of communication. Therefore, the magnitude of these losses greatly determines the magnitude of the physical parameters, distance, and frequency that will be used in designing a cell. The Okumura-Hata empirical model and the COST 231 model are used to determine the magnitude of losses along the line so that the best position and direction of the antenn