Chinese Science Bulletin

Driver safety in automobiles has been a critical concern since the inception of on-road vehicles. Over the years, leading researchers and Original Equipment Manufacturers (OEMs) have diligently worked to address safety issues by developing various advanced safety systems. According to the World Health Organization, driver negligence results in approximately 1.19 million fatalities annually. Furthermore, these incidents incur a global economic cost of around $518 billion every year, accounting for about 1–2% of the total gross domestic product of all countries. In response to these high casua

The frequency and complexity of natural and man-made disasters, including pandemics and climate-related crises, demand that organizations—particularly those in high-risk sectors—prioritize workforce resilience. Strategic Human Resource Management (SHRM) plays a vital role in fostering such resilience by aligning HR practices with long-term adaptability, psychological support, and crisis preparedness. This study aims to examine how SHRM adaptations contribute to workforce resilience in disaster-prone sectors. It identifies the relative influence of four SHRM dimensions—strategic workforce

Steganalysis is associated with the category of pattern recognition. Steganalysis mechanism has been evolved owing to the successful evolution of Deep Learning (DL). The objective of steganalysis remains in detecting whether cover image carries secret information that is being embedded by steganographic algorithms. The conventional steganalysis is trained on stego images created by steganographic algorithm, whose detection performance is said to be dropped swiftly when is being applied with another type of steganographic algorithm, therefore resulting discrepancy in steganalysis. To address o

Text-based secure cryptography plays a vital role in web applications, online purchases, banking transactions and so on. Web applications perform operations remotely via Internet to accelerate their processes. However, this improvement in network capabilities comes at the cost of revealing the systems to various attacks. Numerous research works have been developed in the recent years for authentication based data security employing cryptographic methods. In this work a text-based secure cryptography method called, Coordinate Statistics Autoencoder Glorot Neural Network (CS-AGNN) is proposed to

This qualitative case study investigates the integration of artificial intelligence (AI) technologies in language teaching while preserving cultural identity at Basilan State College in the Bangsamoro Autonomous Region in Muslim Mindanao, Philippines. Set in a linguistically diverse environment where Yakan, Tausug, Chavacano, Cebuano, Filipino, Arabic, and English coexist, the research examines how language educators navigate the tension between technological innovation and cultural preservation. Through semi-structured interviews with 8 language instructors, 5 students, and 2 administrators,