Tau dysfunction has a close association with many neurodegenerative diseases, which are collectively referred to as tauopathies. Neurofibrillary tangles (NFTs) formed by misfolding and aggregation of tau are the main pathological process of tauopathy. Therefore, uncovering the misfolding and aggregation mechanism of tau protein will help to reveal the pathogenic mechanism of tauopathies. Molecular dynamics (MD) simulation is well suited for studying the dynamic process of protein structure changes. It provides detailed information on protein structure changes over time at the atomic resolution. At the same time, MD simulation can also simulate various conditions conveniently. Based on these advantages, MD simulations are widely used to study conformational transition problems such as protein misfolding and aggregation. Here, we summarized the structural features of tau, the factors affecting its misfolding and aggregation, and the applications of MD simulations in the study of tau misfolding and aggregation.

Drug-drug interaction (DDI) prediction is crucial for identifying interactions within drug combinations, especially adverse effects due to physicochemical incompatibility. While current methods have made strides in predicting adverse drug interactions, limitations persist. Most methods rely on handcrafted features, restricting their applicability. They predominantly extract information from individual drugs, neglecting the importance of interaction details between drug pairs. To address these issues, we propose MGDDI, a graph neural network-based model for predicting potential adverse drug interactions. Notably, we use a multiscale graph neural network (MGNN) to learn drug molecule representations, addressing substructure size variations and preventing gradient issues. For capturing interaction details between drug pairs, we integrate a substructure interaction learning module based on attention mechanisms. Our experimental results demonstrate MGDDI's superiority in predicting adverse drug interactions, offering a solution to current methodological limitations.

SummaryProtein glycosylation modification is an effective way to enhance the functional properties of natural proteins. This study aims to explore the preparation of glycosylation products (PPCs) through the Maillard reaction or enzymatic glycosylation using transglutaminase. The study discusses the advantages and disadvantages of preparing PPCs using dry heat, wet heat, and enzymatic glycosylation, as well as factors influencing the glycosylation process. Compared to natural proteins, PPCs demonstrate superior functional properties, including solubility, viscosity, emulsifying ability, gelling ability, thermal stability, antioxidant activity, and antibacterial activity. With improved functional performance, PPCs have broad application prospects as raw materials in food processing. For example, PPCs can be used as antioxidants, emulsifiers, gelling agents, and carriers for various bioactive molecules in the food industry. In the pharmaceutical field, PPCs are expected to serve as contrast agents and dressings. Furthermore, the application of PPCs in food processing should also consider specific processing requirements to achieve the intended enhancement of glycosylated protein functionality.

Abstract Short-term rainfall prediction is a crucial and practical research area, with the accuracy of rainfall prediction, particularly for heavy rainfall, significantly impacting people's lives, property, and even their safety. Deep learning and RNN cyclic convolutional networks have emerged as important research avenues to address this issue; however, each approach has its limitations. This article integrates their respective key advantages and further optimizes them from the perspectives of model framework and training loss function. Finally, we demonstrate the effectiveness of our optimization measures through experiments.

ABSTRACT This study aims to explore how interactive experiences with girlfriends during travel empower the meaning of girlfriend getaways (GGAs). Through semistructured interviews with seventeen GGA tourists (Study 1), four types of interactive experiences were identified. Then, a survey was conducted with 352 GGA tourists (Study 2). The results of data analysis indicated that four interactive experiences (including chit-chat, frolic, intimacy gathering, and work-sharing) affect trip satisfaction, these four activities except chit-chat affect a sense of connection, and a sense of connection and trip satisfaction affect the meaning of GGAs. Recommendations for improving the quality of GGAs were also provided.

Live in peace and work in contentment" encapsulates people's aspirations within a digital economy framework. Has the digital economy truly realized this ideal? To answer this query, this paper delves into the correlation between the digital economy, resource mismatch, and urban housing costs across 272 Chinese cities. It evaluates the impact of policies propelled by the digital economy, using the “Broadband China” strategy as a benchmark. The findings suggest several key conclusions: (i) The imbalance in land resources exacerbates the digital economy's impact on escalating urban housing expenses. This effect is particularly pronounced in cities within the Yangtze River Economic Zone, cities experiencing low economic growth rates, large cities with high employment levels, and cities with relatively low wages. (ii) The rise of the digital economy has contributed to increased urban housing costs. For every 0.1 unit increase in a city's digital economy level, there is an observed average rise of 9.87% in housing costs. (iii) Policies steered by the digital economy, such as the "Broadband China" strategy, have significantly increased urban housing costs. A higher degree of resource mismatch correlates with a more pronounced impact of the “Broadband China” strategy pilot in elevating urban housing expenses. It is imperative to emphasize the qualitative ramifications of the digital economy. This should coincide with efforts to enhance resource utilization efficiency, aiming to mitigate the adverse effects of the digital economy's advancement on housing costs.

Starting from the intercultural perspective, this analysis aims at analyzing the role of cultures in Portuguese, Chinese culture and the interaction between them in oral classes of PFL (Portuguese as foreign language) from higher education institutions based in the Guangdong-Hong Kong-Macao Greater Bay Area. This study is based on quantitative research, through a questionnaire survey among 219 students. It is concluded that Portuguese language cultures have an unquestionable role in PFL oral classes. However, an imbalance has been observed in the introduction of different cultural variants of the Portuguese language in most oral classes, where Portuguese culture is mainly highlighted and other Portuguese language cultures are ignored. On the other hand, it was found that Chinese culture and interculturality are integrated in these classes, but in a small percentage. At the same time, there is a little space for Chinese culture and intercultural encounters in PFL oral classes.

This study aims to examine interpreting students' perceptions of using tablets for interpreting note-taking (INT). A mixed-method approach was adopted, including quantitative methods based on Gile's two-phase effort model of consecutive interpreting (CI) to investigate respondents' experiences and perceptions, as well as qualitative methods to explore differences between professionals and beginners regarding their preferences and user experiences with note-taking tools. Additionally, factors within the Technology Acceptance Model (TAM) framework that significantly impacted the acceptance of tablet-based interpreting were analyzed. Our research findings reveal valuable insights into students' attitudes towards integrating technology into interpreter training programs while highlighting key factors influencing tablet-based note-taking adoption or rejection among participants. Moreover, this study emphasizes the importance of developing an application specifically designed for INT to meet the unique needs of interpreters and stresses that training plays an essential role in facilitating the adoption of tablet-based INT. Teachers are suggested to take the initiative to try tablet-based INT themselves before they make their decisions on whether to introduce the technology to their students.