Beijing Normal-Hong Kong Baptist University

Cryptanalysis and Improvement of an Image Cryptosystem via Chaotic Synchronization and Artificial Neural Networks in Modified OTP Scheme

Chaos-based image ciphers may exhibit favorable statistical metrics while retaining a recoverable algebraic structure. We analyze the modified one-time-pad image cryptosystem of Stoycheva et al., which combines static, Chua-system-derived, and neural masks with channel-wise shuff...

Navigating equity tensions and enacting agency in Chinese TESOL practicums

This qualitative study examined how 38 preservice TESOL teachers placed in Chinese middle schools identified, navigated, and challenged perceived pedagogical inequities during a brief practicum. Using a critical sociocultural framework, reflective papers ( N = 38) and focus group...

Probing the Conformational Dynamics of VeCas9 Using High-Resolution Single-Molecule Junctions

Abstract Gene editing enables precise genetic modifications, revolutionizing disease treatment, crop improvement, and biotechnological innovation. VeCas9, a recently identified CRISPR endonuclease from the Veillonella genus, exhibits a broader protospacer adjacent motif recogniti...

Immersive technologies in dance education: a systematic review

This study aims to investigate the development and application of immersive technologies (ImTs) in dance education through a systematic review of existing empirical studies. The review addresses several inquiries: (a) the dance learning activities supported by ImTs, (b) the benef...

Exact Finite-Population Sequential Auditing for Selective Release from Model-Proposed Candidate Sets

Predictive models can rank low-risk cases, but past accuracy cannot establish that skipping review is safe in the current batch. We formulate selective release as a risk-constrained finite-population audit design. A model-proposed candidate and its audit plan are frozen before ca...

Exercise adaptation and proactive health: an information-theoretic framework based on load entropy

Abstract Exercise is among the most powerful stimuli for promoting health, yet exercise science still prescribes load largely through fixed, population-derived intensity zones that overlook how individuals perceive and adapt to training stimuli. This review develops Proactive Hea...

Geometric standardized mean difference and its application to meta‐analysis

The standardized mean difference (SMD) is a widely used measure of effect size, particularly common in psychology, clinical trials and meta-analysis involving continuous outcomes. Traditionally, under the equal variance assumption, the SMD is defined as the mean difference divide...

Analyzing functional data with a mixture of covariance structures using a curve-based sampling scheme

Abstract Motivated by distinct walking patterns in real-world free-living gait data, this paper proposes an innovative curve-based sampling scheme for the analysis of functional data characterized by a mixture of covariance structures. Traditional approaches often fail to adequat...

Human-AI Co-Ideation in VR Experience Design: Using the Dimensionality Framework (8Df) to Structure LLM-Guided Design

Large Language Models (LLMs) are increasingly used in creative practice, yet designers often lack structured frameworks that support both creativity and theoretical grounding, especially in complex media workflows, such as in Virtual Reality (VR). This paper argues that the VR Di...

Enhancing Case Formulation Competence in Novice Counselors: A ChatGPT-Assisted Approach Using the 4P Model

With the rapid advancement of artificial intelligence (AI) technology, various scientific research fields are exploring the application of potential of new technologies. Counseling psychology, closely intertwined with natural language processing, is one of the most suitable domai...