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Plant peptide-protein interactions (PepPI) play a crucial role in plant growth, development, immune regulation, and environmental adaptation. However, existing computational methods still face several challenges in PepPI prediction. First, most methods fail to adequately integrate multimodal information such as sequence, structure, and disorder properties, leading to inadequate characterization of complex interaction patterns. Second, existing models have difficulty in capturing cross-dependent features between peptides and proteins, limiting the prediction performance. Finally, the lack of a unified framework capable of integrated modeling from both global and local perspectives leads to a still imperfect understanding and prediction of PepPI. To this end, we propose a multiple characterization framework based on cross-modal feature fusion-MultiRepPI-for efficient prediction of plant PepPI. In this framework, we innovatively introduce several key modules aimed at comprehensively improving the representation of peptide and protein features. First, a cross-modal encoding module (CME) is designed by fusing convolutional neural networks, recurrent neural networks, and feature enhancement mechanisms, which is capable of extracting multi-scale deep features from peptide and protein sequences, and thus better capturing their interactions at different levels. Secondly, bi-directional attention and PepPI gating mechanisms were used to design the cross-modal attention module (CMA), which deeply mines the key interaction patterns between peptides and proteins, and enhances the ability of the model to focus on important binding sites. Finally, the disordered feature extraction (DFE) module was designed to specifically identify disordered regions of plant proteins and extract dynamic features to further enhance the accuracy of plant PepPI prediction. A systematic experimental evaluation of MultiRepPI was conducted on a benchmark dataset. The experimental results show that MultiRepPI provides a significant improvement in both prediction performance and binding residue recognition compared to existing state-of-the-art methods. This framework provides a reliable tool for efficient prediction of plant PepPIs, while laying a solid foundation for plant biology research and peptide drug development.

Rechargeable aqueous zinc‐ion batteries (AZBs), with their high theoretical capacity, low cost, safety, and environmental friendliness, have risen as a promising candidate for next‐generation energy storage. Despite the fruitful progress in cathode material research, the electrochemical performance of the AZB remains hindered by the physical and chemical instability of the Zn anode. The Zn anode suffers from dendrite growth and chemical reactions with the electrolyte, leading to efficiency decay and capacity loss. Recently, significant effort has been dedicated to regulating the Zn anode. Electrolyte manipulation, including tailoring the salt, additives, or concentration, is a useful strategy as the electrolyte strongly influences the anode's failure processes. It is thus worthwhile to gain an in‐depth understanding of these electrolyte‐dependent regulation mechanisms. With this in mind, this review first outlines the two main issues behind Zn anode failure, dendrite growth, and side reactions. Subsequently, an understanding of the electrolyte tailoring strategy, namely, the influence of the salt, additive, and concentration on the Zn anode, is provided. We conclude by summarizing the future prospects of the Zn metal anode and potential electrolyte‐based solutions. Schematic illustration of Zn anode regulation methods by tailoring the electrolyte.

Yes‐associated protein (YAP), the nuclear effector of the Hippo pathway, is a key regulator of organ size and a candidate human oncogene. This study aimed to assess the clinical significance and biological functions of YAP in non‐small‐cell lung cancer (NSCLC). We investigated the expression of YAP in 92 cases of NSCLC tissue by immunohistochemistry and found that YAP was expressed in 66.3% (61/92) cases and predominantly presented in the nucleus. The expression of YAP in NSCLC was significantly correlated with p‐TNM stage (P = 0.0037) and lymph node metastasis (P = 0.0093). Importantly, YAP expression was associated with short overall survival. Further study in NSCLC cell lines in which YAP was either overexpressed or depleted confirmed that YAP markedly promoted cell proliferation and invasion. These results indicate that YAP plays an important role in NSCLC and might be a useful therapeutic target of NSCLC. (Cancer Sci 2010; 101: 1279–1285)

Co-immobilization of laccase and mediator 2,2′-azino-bis(3-ethylbenzothiazoline-6-sulphonic acid) (ABTS) for wastewater treatment could simultaneously achieve the reusability of laccase and avoid secondary pollution caused by the toxic ABTS. Herein, Fe-induced mineralization was proposed to co-immobilize laccase and ABTS into a metal–organic framework (ZIF-8) within 30 min. Immobilized laccase (Lac@ZIF-8-Fe) prepared at a 1:1 mass ratio of Fe2+ to Zn2+ exhibited enhanced catalytic efficiency (2.6 times), thermal stability, acid tolerance, and reusability compared to free laccase. ABTS was then co-immobilized to form Lac+ABTS@ZIF-8-Fe (ABTS = 261.7 mg/g). Lac@ZIF-8-Fe exhibited significantly enhanced bisphenol A (BPA) removal performance over free laccase due to the local substrate enrichment effect and improved enzyme stability. Moreover, the Lac+ABTS@ZIF-8-Fe exhibited higher BPA removal efficiency than the free laccase+ABTS system, implying the presence of a proximity effect in Lac+ABTS@ZIF-8-Fe. In the successive malachite green (MG) removal, the MG degradation efficiency by Lac@ZIF-8-Fe was maintained at 96.6% at the fifth reuse with only an extra addition of 0.09 mM ABTS in each cycle. As for Lac+ABTS@ZIF-8-Fe, 58.5% of MG was degraded at the fifth cycle without an extra addition of ABTS. Taken together, this research has provided a novel strategy for the design of a co-immobilized laccase and ABTS system for the degradation of organic pollutants.

Background Neuro-oncological ventral antigen 1 (NOVA1) is a neuron-specific RNA-binding protein which regulates alternative splicing in the developing nervous system. Recent research has found that NOVA1 plays a significant role in carcinogenesis. In this paper, we examine the role of NOVA1 in non-small cell lung cancer (NSCLC) and its underlying molecular mechanisms. Methods The expression of NOVA1 in NSCLC was detected by immunohistochemistry and correlations between NOVA1 expression and clinicopathological factors were analyzed by chi–square tests. Kaplan–Meier survival analysis and the Cox regression model were used to evaluate the predictive effect of prognostic factors. Western blotting, Cell Counting Kit-8, colony formation, apoptosis, migration and invasion assays were used to detect the effects of silencing (si)NOVA1 RNA on Wnt/β-catenin signaling and biological behavior in NSCLC cell lines. Results Our study showed that expression of NOVA1 was up-regulated and significantly correlated with poor differentiation ( p  = 0.020), advanced TNM stage ( P  = 0.001), T stage ( P  = 0.001) and lymph node metastasis ( P  = 0.000) as well as the expression of β-catenin ( P  = 0.012) in NSCLC. The down-regulation of NSCLC by siRNA significantly inhibited proliferation, migration and invasion and promoted apoptosis in NSCLC cells. Expression of Wnt signaling molecules, including β-catenin, activated β-catenin, cyclin D1, matrix metalloproteinase (MMP)-2 and MMP-7, was also significantly reduced by siNOVA1. The inhibition of Wnt/β-catenin signaling in A549 and H1299 cells by siNOVA1 was reversed after treatment with a β-catenin expression plasmid. Conclusion The present study suggests that NOVA1 may serve as a potential prognosis biomarker in NSCLC. High NOVA1 expression was associated with poor survival rate. Finally, in vitro experiments verified that NOVA1 promotes NSCLC cell proliferation and invasion by regulating Wnt/β-catenin signaling.

This study aimed to evaluate the effectiveness of Exergaming in improving executive function and motor ability across different groups of children and adolescents. We searched several databases, including PsycINFO, Web of Science, Embase, PubMed, SPORT Discus, Scopus, and the Cochrane Central Register of Controlled Trials, for randomized controlled trial (RCT) studies published from inception until November 25, 2023, to identify studies investigating the effect of Exergaming on motor and executive function in children. The protocol was registered with PROSPERO (CRD42023482281). A total of 37 randomized controlled trials were included in this study. Our results indicate that Exergaming can influence children’s cognitive flexibility [SMD = 0.34, 95%CI(0.13,0.55), I 2 = 0.0%, P = 0.738], inhibition control [SMD = 0.51, 95%CI (0.30,0.72), I 2 = 0.0%, P = 0.473], global cognitive [SMD = 0.87, 95%CI (0.50,1.23), I 2 = 0.0%, P = 0.974], working memory [SMD = 0.18, 95%CI(-0.16, 0.52), I 2 = 46.5%, P = 0.096], gross motor skills [SMD = 0.82, 95%CI (0.30, 1.35), I 2 = 79.1%, P <0.001], fine motor skills [SMD = 0.71, 95%CI (0.22,1.21), I 2 = 78.7%, P <0.001], balance [SMD = 0.61, 95%CI (0.34, 0.88), I 2 = 59.5%, P = 0.001], and cardiorespiratory [SMD = 0.48, 95%CI (0.16, 0.79), I 2 = 58.4%, P = 0.019]. While these findings suggest that Exergaming can promote children’s cognitive flexibility, inhibitory control, global cognition and motor abilities, the effect on working memory was not statistically significant. Further high-quality randomized controlled trials are warranted to explore the potential benefits of Exergaming for different groups of children, including those with specific needs.

Accumulating evidence indicates that AJUBA acts as a potential target for new therapeutics to treat cancers. Nevertheless, the role of AJUBA in non-small cell lung cancer (NSCLC) remains unclear. In the current study, immunohistochemistry (IHC) showed that expression of AJUBA was upregulated in 67.55% of NSCLC tumor samples and was associated with tumor size, lymph node metastasis, advanced tumor stage, poor differentiation and poor prognosis. Loss-of-function assays of AJUBA produced by silencing RNA (siAJUBA) significantly inhibited the proliferation, invasion and migration of H1299 and A549 cell lines. Mechanistically, inhibition of extracellular signal-regulated kinases (ERKs) blocked the AJUBA-induced proliferation, invasion and migration of NSCLC cells, and decreased the expression of proteins related to the endothelial-mesenchymal transition (EMT). Silencing of AJUBA repressed tumor growth and led to a decrease in p-ERK, β-catenin and N-cadherin in vivo. In conclusion,, overexpression of AJUBA facilitates the proliferation and motility of NSCLC cells via the ERK and Wnt/β-catenin pathways. AJUBA may be useful as a prognostic marker which may provide a promising approach for the treatment of NSCLC.

Ascorbate (ASC) plays a critical role in plant stress response. The antioxidant role of ASC has been well-studied, but there are still several confusing questions about the function of ASC in plant abiotic stress response. ASC can scavenge reactive oxygen species (ROS) and should be helpful for plant stress tolerance. But in some cases, increasing ASC content impairs plant abiotic stress tolerance, whereas, inhibiting ASC synthesis or regeneration enhances plant stress tolerance. This confusing phenomenon indicates that ASC may have multiple roles in plant abiotic stress response not just as an antioxidant, though many studies more or less ignored other roles of ASC in plant. In fact, ACS also can act as the cofactor of some enzymes, which are involved in the synthesis, metabolism, and modification of a variety of substances, which has important effects on plant stress response. In addition, ASC can monitor and effectively regulate cell redox status. Therefore, we believe that ASC has atleast triple roles in plant abiotic stress response: as the antioxidant to scavenge accumulated ROS, as the cofactor to involve in plant metabolism, or as the regulator to coordinate the actions of various signal pathways under abiotic stress. The role of ASC in plant abiotic stress response is important and complex. The detail role of ASC in plant abiotic stress response should be analyzed according to specific physiological process in specific organ. In this review, we discuss the versatile roles of ASC in the response of plants to abiotic stresses.

In recent years, convolutional neural networks (CNNs) have become a potent tool for hyperspectral image classification (HSIC), where classification accuracy, computational cost, and generalization ability are the main focuses. In this study, a novel approach to hyperspectral image classification is proposed. A tandem spectral–spatial attention module (TAM) was designed to select significant spectral and spatial features automatically. At the same time, a dense pyramidal residual module (DPRM) with three residual units (RUs) was constructed, where feature maps exhibit linear growth; a dense connection structure was employed between each RU, and a TAM was embedded in each RU. Dilated convolution structures were used in the last two layers of the pyramid network, which can enhance the network’s perception of fine textures and features, improving information transfer efficiency. Tests on four public datasets, namely, the Pavia University, Salinas, TeaFarm, and WHU-Hi-HongHu datasets, were carried out, and the classification accuracies of our method were 99.60%, 99.95%, 99.81%, and 99.84%, respectively. Moreover, the method enhanced the processing speed, especially for large datasets such as WHU-Hi-HongHu. The training time and testing time of one epoch were 53 s and 1.28 s, respectively. Comparative experiments with five methods showed the correctness and high efficiency of our method.

The study aims to investigate the impact of social, economic and political globalization on the renewable energy-economic growth nexus in a panel of six Asian emerging economies over the period 1975–2020. The results of the CS-ARDL approach show that renewable energy consumption contributes significantly to long run economic growth. Economic and political globalization firmly hold back economic growth, while social globalization directly promotes economic growth. The nonlinear effects of political, social, and economic globalization on economic growth clearly demonstrate the validity of the inverted U-shaped relationship between political globalization, economic globalization, and economic growth, and the U-shaped relationship between social globalization and economic growth. The study also found that economic, social and political globalization moderated the impact of renewable energy on boosting economic growth. Based on the renewable energy consumption model, it is revealed that economic growth significantly promotes long run renewable energy consumption. Economic, social, and political globalization have significantly boosted long run renewable energy consumption. However, the nonlinear effect model reflects a U-shaped relationship between globalization indicators and renewable energy consumption. The interaction of political, economic, and social globalization with economic growth has also witnessed an increase in renewable energy consumption, which supports the scale effect hypothesis. The causality test concludes that there is a two-way causal relationship between renewable energy consumption and economic growth, thus supporting the feedback hypothesis. The policy implications for Asian emerging economies are discussed based on the empirical analysis of this study.