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Against the backdrop of the COVID-19 outbreak, an emergency policy initiative called \"Suspending Classes Without Stopping Learning\" was launched by the Chinese government to continue teaching activities as schools across the country were closed to contain the virus. However, there is ambiguity and disagreement about what to teach, how to teach, the workload of teachers and students, the teaching environment, and the implications for education equity. Possible difficulties that the policy faces include: the weakness of the online teaching infrastructure, the inexperience of teachers (including unequal learning outcomes caused by teachers' varied experience), the information gap, the complex environment at home, and so forth. To tackle the problems, we suggest that the government needs to further promote the construction of the educational information superhighway, consider equipping teachers and students with standardized home-based teaching/learning equipment, conduct online teacher training, include the development of massive online education in the national strategic plan, and support academic research into online education, especially education to help students with online learning difficulties.

Accurate prediction of network traffic patterns is essential for optimizing network resource allocation, managing congestion, and strengthening cybersecurity. This study examines the effectiveness of four machine learning models—Support Vector Regression (SVR), Long Short-Term Memory (LSTM), Gated Recurrent Units (GRU), and Bidirectional Long Short-Term Memory (Bi-LSTM)—in forecasting traffic patterns using both web-based and real-world datasets. The models are evaluated based on their generalization accuracy, as measured by Mean Absolute Percentage Error (MAPE), computational efficiency, and their ability to capture underlying traffic dynamics. Results indicate that GRU surpasses SVR and LSTM in terms of prediction accuracy and computational speed, while Bidirectional LSTM demonstrates superiority in capturing long-term dependencies across extended periods. These findings underscore the significant potential of deep learning models, particularly GRU and Bidirectional LSTM, in improving the precision and reliability of network traffic predictions. The study offers insights into the strengths and limitations of each model, contributing to the ongoing development of more robust and efficient network traffic forecasting methods.

In the food industry, manufacturers and customers have paid more attention to natural pigments instead of the synthetic counterparts for their excellent coloring ability and healthy properties. Microalgae are proven as one of the major photosynthesizers of naturally derived commercial pigments, gaining higher value in the global food pigment market. Microalgae-derived pigments, especially chlorophylls, carotenoids and phycobiliproteins, have unique colors and molecular structures, respectively, and show different physiological activities and health effects in the human body. This review provides recent updates on characteristics, application fields, stability in production and extraction processes of chlorophylls, carotenoids and phycobiliproteins to standardize and analyze their commercial production from microalgae. Potential food commodities for the pigment as eco-friendly colorants, nutraceuticals, and antioxidants are summarized for the target products. Then, recent cultivation strategies, metabolic and genomic designs are presented for high pigment productivity. Technical bottlenecks of downstream processing are discussed for improved stability and bioaccessibility during production. The production strategies of microalgal pigments have been exploited to varying degrees, with some already being applied at scale while others remain at the laboratory level. Finally, some factors affecting their global market value and future prospects are proposed. The microalgae-derived pigments have great potential in the food industry due to their high nutritional value and competitive production cost.

Conductor galloping is a low-frequency, large-amplitude vibration phenomenon induced by the combined action of ice accretion and wind loads, which poses severe threats to power grid safety. For 500 kV transmission lines in Xinjiang, a strain-displacement relationship based on elastic catenary theory was developed, establishing a nonlinear dynamic model for galloping of ice-coated bundled conductors with torsional stiffness. Employing D-shaped, fan-shaped, and crescent-shaped ice-accreted bundle conductors, this work investigates the influence of wake effects and wind attack angles on aerodynamic characteristics at varying spanwise lengths. Subsequently, aerodynamic loads were computed based on the derived aerodynamic coefficients, enabling galloping response analysis of ice-accreted bundle conductors. The results demonstrate that the proposed methodology facilitates efficient analysis of galloping amplitude in ice-accreted transmission conductors, and the three-dimensional numerical model significantly improves the computational accuracy of aerodynamic forces on bundle conductors. The flow field around ice-coated bundled conductors exhibits pronounced periodicity, governed collectively by wake effects, wind attack angle, ice accretion geometry, ice thickness, and wind velocity. Additionally, spacer bars with articulated connections suppress conductor galloping more effectively.

Over the past decades, the Arctic-midlatitude linkage has been extensively explored. Recent studies have suggested that the characteristics of phasic evolutions in the relationship between the Arctic warming and midlatitudes remain elusive. Therefore, this study systematically investigates this issue by using running empirical orthogonal function and moving correlation, and the results show a phasic alternation process in the relationship between the tropospheric thickness over the Barents–Kara Seas (BKS) and East Asian temperature, characterized by a phasic weak (P1: 1979–2000)–strong (P2: 2001–2011)–weak (P3: 2012–2021) connection. Our results highlight that since the winter of 2010, despite the Arctic sea ice being in an exceptionally reduced phase and continuous Arctic warming, the Arctic-midlatitude connection has not exhibited sustained strengthening relative to P2 phase. Moreover, it is found that changes of the connection between the BKS warming and the East Asian winter Monsoon may contribute to this phasic evolution, and the Arctic Oscillation plays an important role in modulating their phasic evolutions. The conclusions of this study help to deepen our understanding of the evolution of the strength and weakness of the relationship between Arctic warming and climate variations in midlatitudes.

The tumour microenvironment represents a novel frontier in oncological research. Over the past decade, accumulating evidence has underscored the importance of the tumour microenvironment (TME), including tumour cells, stromal cells, immune cells, and various secreted factors, which collectively influence tumour growth, invasion, and responses to therapeutic agents. Immune cells within the TME are now widely acknowledged to play pivotal roles in tumour development and treatment. While some perspectives have posited that immune cells within the TME facilitate tumour progression and confer resistance to therapeutic interventions, contrasting conclusions also exist. Affirmative and negative conclusions appear to be context dependent, and a unified consensus has yet to be reached. The burgeoning body of research on the relationship between the gut microbiota and tumours in recent years has led to a growing understanding. Most studies have indicated that specific components of the gut microbiota, such as unique bacterial communities or specific secretory factors, play diverse roles in regulating immune cells within the TME, thereby influencing the prognosis and outcomes of cancer treatments. A detailed understanding of these factors could provide novel insights into the TME and cancer therapy. In this study, we aimed to synthesise information on the interactions between the gut microbiota and immune cells within the TME, providing an in-depth exploration of the potential guiding implications for future cancer therapies.

Background Psychological distress is common in maintenance hemodialysis patients, and high psychological resilience can promote psychological well-being. The current research focuses on psychological resilience protective factors such as family resilience and social support. However, the trajectories of psychological resilience, family resilience, and social support over time and their longitudinal relationships in maintenance hemodialysis patients have not been fully explored yet. Therefore, this study aims to explore the longitudinal relationship between these factors. Methods Patients who received regular hemodialysis treatment for more than three months at dialysis centers of three tertiary hospitals in Zhejiang, China, were recruited from September to December 2020. A total of 252 patients who met the inclusion and exclusion criteria completed three follow-up surveys, including social support, family resilience, and psychological resilience assessments. A repeated measures ANOVA was used to explore differences in their respective scores at different time points. The cross-lagged analysis was performed in AMOS using the maximum likelihood method to examine the the reciprocal predictive relationships between these factors. Results Social support and psychological resilience remained relatively stable over time, whereas family resilience indicated a little increasing trend. According to the cross-lagged analysis, higher T1 social support predicted higher family resilience at T2 [β = 0.123, 95% CI (0.026–0.244)]. Further, the effects of T2 social support to T3 family resilience [β = 0.194, 95%CI (0.039–0.335)] and psychological resilience [β = 0.205, 95%CI (0.049–0.354)] were significant. Finally, the effects of T2 family resilience to T3 social support [β = 0.122, 95%CI (0.010–0.225)] and psychological resilience [β = 0.244, 95%CI (0.119–0.359)] were also significant. Conclusions The study showed that the directionality of the relationship appears to be from social support or family resilience to patients’ psychological resilience but not vice versa. This finding reminds healthcare professionals to emphasize the vital role of social and family resources in providing appropriate support and interventions for maintenance hemodialysis patients to promote psychological resilience and mental health development.

CD5 antigen-like (CD5L), also known as Spα or AIM (Apoptosis inhibitor of macrophage), emerges as an integral component of serum immunoglobulin M (IgM). However, the molecular mechanism underlying the interaction between IgM and CD5L has remained elusive. In this study, we present a cryo-electron microscopy structure of the human IgM pentamer core in complex with CD5L. Our findings reveal that CD5L binds to the joining chain (J chain) in a Ca 2+ -dependent manner and further links to IgM via a disulfide bond. We further corroborate recently published data that CD5L reduces IgM binding to the mucosal transport receptor pIgR, but does not impact the binding of the IgM-specific receptor FcμR. Additionally, CD5L does not interfere with IgM-mediated complement activation. These results offer a more comprehensive understanding of IgM and shed light on the function of the J chain in the immune system. Here the authors produce high-resolution cryo-EM structure of human IgM complexed with CD5L to reveal their interaction. CD5L reduces IgM’s binding to pIgR without affecting FcμR binding or complement activation, highlighting CD5L’s role as a key component of circulating IgM.

Heat-shock transcription factor 1 (HSF1) orchestrates the fast and vast cellular response to heat shock through increased expression of heat-shock proteins. However, how HSF1 rapidly and reversibly regulates transcriptional reprogramming remains poorly defined. Here by combining super-resolution imaging, in vitro reconstitution and high-throughput sequencing, we reveal that HSF1 forms small nuclear condensates via liquid–liquid phase separation at heat-shock-protein gene loci and enriches multiple transcription apparatuses through co-phase separation to promote the transcription of target genes. Furthermore, the phase-separation capability of HSF1 is fine-tuned through phosphorylation at specific sites within the regulatory domain. Last, we discovered that HSP70 disperses HSF1 condensates to attenuate transcription following the cessation of heat shock and further prevents the gel-like phase transition of HSF1 under extended heat-shock stress. Our work reveals an inducible and reversible phase-separation feedback mechanism for dynamic regulation of HSF1 activity to drive the transcriptional response and maintain protein homeostasis during acute stress. Zhang, Shao and coworkers report that HSF1 forms small condensates at its target gene loci to promote their transcription during acute heat stress. The produced HSP70 proteins in turn disperse HSF1 condensates to shut off the heat-shock response.

Subendothelial macrophage internalization of modified lipids and foam cell formation are hallmarks of atherosclerosis. Deubiquitinating enzymes (DUBs) are involved in various cellular activities; however, their role in foam cell formation is not fully understood. Here, using a loss-of-function lipid accumulation screening, we identified ubiquitin-specific peptidase 9 X-linked (USP9X) as a factor that suppressed lipid uptake in macrophages. We found that USP9X expression in lesional macrophages was reduced during atherosclerosis development in both humans and rodents. Atherosclerotic lesions from macrophage USP9X-deficient mice showed increased macrophage infiltration, lipid deposition, and necrotic core content than control apolipoprotein E-KO (Apoe-/-) mice. Additionally, loss-of-function USP9X exacerbated lipid uptake, foam cell formation, and inflammatory responses in macrophages. Mechanistically, the class A1 scavenger receptor (SR-A1) was identified as a USP9X substrate that removed the K63 polyubiquitin chain at the K27 site. Genetic or pharmacological inhibition of USP9X increased SR-A1 cell surface internalization after binding of oxidized LDL (ox-LDL). The K27R mutation of SR-A1 dramatically attenuated basal and USP9X knockdown-induced ox-LDL uptake. Moreover, blocking binding of USP9X to SR-A1 with a cell-penetrating peptide exacerbated foam cell formation and atherosclerosis. In this study, we identified macrophage USP9X as a beneficial regulator of atherosclerosis and revealed the specific mechanisms for the development of potential therapeutic strategies for atherosclerosis.