impacts-chinese-olympic-athletes-visit-to-macao-on-patriotism

Impacts of Chinese Olympic Athletes&#39; Visit to Macao on Patriotism and Integrity Behaviors Among University Students Studying in Macao

In recent years, sports diplomacy, national identity building, and integrity education have become key trends in national governance in the new era. After ...

Macao Polytechnic University

Although emotional or affective working memory (WM) is quite well established in general psychology, not much research has looked into its potential implications for the language sciences and bilingualism and second language acquisition (SLA) research until recently. To fill this gap, this paper aims to propose that WM has not just cognitive implications, but its affective dimension may also make complementary and unique contributions to language and bilingualism/SLA research. Towards this end, we first briefly synthesize the cognitive views of WM conceptions and assessment procedures in the current language sciences and bilingualism/SLA research. Next, we turn to discuss the theoretical models and assumptions of affective WM and explore their theoretical implications for bilingualism/SLA research based on emerging empirical evidence. Then, we propose a conceptual framework integrating cognitive and affective WM perspectives and further provide guidelines for designing affective WM span tasks that can be used in future affective WM-language research, focusing on the construction procedures of several emotion-based affective WM span tasks (e.g., the emotional reading span task, the emotional operation span task, and the emotional symmetry span task) as examples. Overall, we argue that affective feelings are also an integral part of the mental representations held in WM and future research in the language sciences and bilingualism/SLA should incorporate both cognitive and affective WM dimensions.

Working Memory Models and Measures in Language and Bilingualism Research: Integrating Cognitive and Affective Perspectives.

5-Methylcytosine (5mC), a fundamental element of DNA methylation in eukaryotes, plays a vital role in gene expression regulation, embryonic development, and other biological processes. Although several computational methods have been proposed for detecting the base modifications in DNA like 5mC sites from Nanopore sequencing data, they face challenges including sensitivity to noise, and ignoring the imbalanced distribution of methylation sites in real-world scenarios.

NanoCon: contrastive learning-based deep hybrid network for nanopore methylation detection.

Despite the importance of cognitive development for vocabulary acquisition, limited attention has been given to the impacts of cognitive factors on this phenomenon from a longitudinal perspective. This study evaluates the longitudinal development of such factors (i.e. metacognitive knowledge, working memory, and non-verbal intelligence) and L2 vocabulary knowledge growth in 210 young second language learners enrolled in a bilingual programme in China. Results supported individual differences in the initial level and the growth rate of learners' cognitive development and vocabulary knowledge growth: a higher starting level of cognitive development correlated with a higher level of vocabulary knowledge and a faster rate of vocabulary knowledge growth. Findings revealed particularly significant predictive role of metacognitive knowledge on vocabulary knowledge, followed by non-verbal intelligence and working memory. Relevant implications were discussed based on the findings.

Longitudinal development of cognition and vocabulary knowledge in young second language learners in a bilingual programme.

The major challenges in drug development stem from frequent structure-activity cliffs and unknown drug properties, which are expensive and time-consuming to estimate, contributing to a high rate of failures and substantial unavoidable costs in the clinical phases. Herein, we propose the self-conformation-aware graph transformer (SCAGE), an innovative deep learning architecture pretrained with approximately 5 million drug-like compounds for molecular property prediction. Notably, we develop a multitask pretraining framework, which incorporates four supervised and unsupervised tasks: molecular fingerprint prediction, functional group prediction using chemical prior information, 2D atomic distance prediction, and 3D bond angle prediction, covering aspects from molecular structures to functions. It enables learning comprehensive conformation-aware prior knowledge, thereby enhancing its generalization across various molecular property tasks. Moreover, we design a data-driven multiscale conformational learning strategy that effectively guides the model in understanding and representing atomic relationships at the molecular conformational scale. SCAGE achieves significant performance improvements across 9 molecular properties and 30 structure-activity cliff benchmarks. Case studies demonstrate that SCAGE accurately captures crucial functional groups at the atomic level, which are closely associated with molecular activity, providing valuable insights into quantitative structure-activity relationships.

A self-conformation-aware pre-training framework for molecular property prediction with substructure interpretability.

The connection between working memory (WM) and the breadth of vocabulary knowledge (BVK) in foreign language young learners remains underexplored, particularly with respect to how these constructs co-develop across the primary school years. Although growth in WM has been linked to early gains in BVK, the directionality and temporal dynamics of their association are not well understood. Utilizing a cross-lagged panel design, this study tracked the development of WM and BVK in 158 young learners from grade 1 to grade 5. Results unveiled lagged associations between WM and BVK, suggesting that working memory serves as a valuable indicator for future BVK acquisition, while also indicating that accumulated BVK may, in turn, exert an influence on WM. These findings highlight a complex, bi-directional relationship between WM and BVK throughout primary school students' formative years, in line with the transactional model.

Article	Year
Working Memory Models and Measures in Language and Bilingualism Research: Integrating Cognitive and Affective Perspectives. Brain sciences\| PubMed ID: 35741614	2022
NanoCon: contrastive learning-based deep hybrid network for nanopore methylation detection. Bioinformatics (Oxford, England)\| PubMed ID: 38305428	2024
Longitudinal development of cognition and vocabulary knowledge in young second language learners in a bilingual programme. Journal of child language\| PubMed ID: 39943696	2026
A self-conformation-aware pre-training framework for molecular property prediction with substructure interpretability. Nature communications\| PubMed ID: 40355450	2025
Working Memory and Breadth of Vocabulary Knowledge in Foreign Language Young Learners: A Cross-Lagged Panel Design Approach. Journal of child language\| PubMed ID: 41757569	2026

SioHong Teng

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