Chinese Science Bulletin

This study introduces an enhanced framework for student dropout prediction by integrating Binary Harris Hawks Optimization (BHHO) with boosting algorithms and Synthetic Minority Over-sampling Technique (SMOTE). We evaluated the framework using two datasets: a multi-class dataset of 6,847 student records and a binary dataset of 1,044 instances. The methodology combines BHHO for hyperparameter optimization of boosting algorithms (AdaBoost, Gradient Boosting, XGBoost, and CatBoost) with SMOTE for addressing class imbalance. Experimental results demonstrate the framework's superior performance com

Artificial Intelligence (AI) has emerged as a powerful adjunct in critical care, capable of analyzing vast datasets at remarkable speed to enhance diagnostic accuracy, resource allocation, and treatment personalization. This review examines the current landscape of AI applications in Intensive Care Units (ICUs), focusing on predictive analytics, clinical decision support systems (CDSS), and computer vision. Predictive analytics models, leveraging machine learning and deep neural networks, identify early indicators of sepsis, organ failure, and other acute conditions, demonstrating reductions i

Blockchain technology, initially introduced through cryptocurrencies like Bitcoin, has revolutionized trust and data storage. However, challenges such as fairness in reward distribution, scalability, security, and efficiency limit the potential of blockchain technology compared to non-blockchain solutions. In this paper, we propose Proof-of-Green (PoG), a novel consensus mechanism that addresses these challenges. PoG is secure, scalable, and fair in reward distribution without relying on computationally intensive methods like Proof-of-Work (PoW). Our approach incorporates a unique weighted-vot

Corporate governance has evolved and grown significantly in the last decade, there are different stakeholders of a business entity e.g. shareholders, board of directors, management, staffs and workers, and consumer groups. The ability of Bangladesh to take these advantages depend on how quickly and effectively it can resolve the socio-economic issues, strengthen its capital market, and establish ethical and overall governance standards. However, it is important to know the levels of compliance of Corporate Governance regarding the Principles and Guidelines in Bangladesh. This study evaluated t

Robots are an essential component in human resource management (HRM) operations, including the evaluation of candidates, the recruitment of employees, the evaluation of performance, and the prediction of employee turnover. The competitiveness of a company is increased when robotics are successfully implemented, particularly in terms of the amount of money and time that is saved. On the other hand, workers might be resistant to robots because of the loss in workforce, the lack of trust in automation, the decreased organizational commitment, and the decreased productivity among workers. There is