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Emotion matching prediction between music and video segments is essential for intelligent mobile sensing systems, where multimodal affective cues collected from smart devices must be jointly analyzed for context-aware media understanding. However, traditional approaches relying on single-modality feature extraction struggle to capture complex cross-modal dependencies, resulting in a gap between low-level audiovisual signals and high-level affective semantics. To address these challenges, a dual-driven framework that integrates perceptual characteristics with objective feature representations is proposed for audiovisual affective matching prediction. The framework incorporates fine-grained affective states of audiovisual data to better characterize cross-modal correlations from an emotional distribution perspective. Moreover, a decoupled Deep Canonical Correlation Analysis approach is developed, incorporating discriminative sample-pairing criteria (matched/mismatched data discrimination) and separate modality-specific component extractors, which dynamically refine the feature projection space. To further enhance multimodal feature interaction, an Attention and Feature-Consistency-Loss-Based Multi-Task Learning Network is proposed. In addition, a feature-consistency loss function is introduced to impose joint constraints across dual semantic embeddings, ensuring both affective consistency and matching accuracy. Experiments on a self-collected benchmark dataset demonstrate that the proposed method achieves a mean absolute error of 0.109 in music–video matching score prediction, significantly outperforming existing approaches.

During the transition from warm to cool seasons, plants experience decreased temperatures, shortened days, and decreased red/far-red (R/FR) ratios of light. The mechanism by which plants integrate these environmental cues to maintain plant growth and adaptation remains poorly understood. Here, we report that low temperature induced the transcription of and accumulation of LONG HYPOCOTYL5 (SlHY5, a basic Leu zipper transcription factor) in tomato ( ) plants, especially under short day conditions with low R/FR light ratios. Reverse genetic approaches and physiological analyses revealed that silencing of increased cold susceptibility in tomato plants, whereas overexpression of enhanced cold tolerance. SlHY5 directly bound to and activated the transcription of genes encoding a gibberellin-inactivation enzyme, namely , and an abscisic acid biosynthetic enzyme, namely ( ). Thus, phytochrome A-dependent SlHY5 accumulation resulted in an increased abscisic acid/gibberellin ratio, which was accompanied by growth cessation and induction of cold response. Furthermore, silencing of compromises short day- and low R/FR-induced tomato resistance to cold stress. These findings provide insight into the molecular genetic mechanisms by which plants integrate environmental stimuli with hormones to coordinate their growth with impending cold temperatures. Moreover, this work reveals a molecular mechanism that plants have evolved for growth and survival in response to seasonal changes.

This study explores the construction and ambivalence of cultural identity within the New Chinese Style by analyzing fashion content on Chinese social media platforms RedNote and Bilibili. Utilizing constructivist grounded theory and postcolonial theory, the research examines how users express their cultural identity through New Chinese Style fashion. The findings highlight several key aspects: some creators and users exhibit a skewed understanding of New Chinese Style, resulting in self-orientalism; others seek to reclaim cultural identity by challenging stereotypical portrayals; some advocate for transcending traditional boundaries to promote cultural exchange; while others engage with New Chinese Style as a means of gaining attention and benefits on social media. These insights suggest that New Chinese Style is not merely a fashion trend but reflects ongoing negotiations of Chinese cultural subjectivity, acknowledging both its challenges and efforts to preserve it. Although New Chinese Style may not fully escape self-orientalism, it represents continuous efforts within Chinese fashion to decolonize.

Chromosome karyotyping analysis is particularly useful in determining species relationships and the origin of polyploid species. Identification of individual chromosomes is the foundation for karyotype development. For Fragaria (strawberry) species, definitive identification of the individual chromosomes is extremely difficult because of their small size and similar shape. Here, we identified all chromosomes for 11 representative Fragaria species with different ploidy using a set of oligonucleotide-based probes developed in Fragaria vesca. Comprehensive molecular cytogenetic karyotypes were established based on the individually identified chromosomes. In addition, we used oligo probes to assign the 5S and 45S rDNA loci to specific chromosomes in 16 Fragaria species. We found that these Fragaria species maintained a remarkably conserved karyotype. No inter-chromosomal structural rearrangements at the cytological level were observed in any of the chromosomes among these species. Despite karyotypic stability and similarity, variations in the signal intensity of oligo probes were observed among the homologous chromosomes in several polyploid species. Moreover, most Fragaria species also showed differences in the distribution patterns of 45S and 5S rDNA. These data provide new insights into the origins of several polyploid Fragaria species.

Financial statement fraud refers to malicious manipulations of financial data in listed companies’ annual statements. Traditional machine learning approaches focus on individual companies, overlooking the interactive relationships among companies that are crucial for identifying fraud patterns. Moreover, fraud detection is a typical imbalanced binary classification task with normal samples outnumbering fraud ones. In this paper, we propose a multi-relational graph convolutional network, named FraudGCN, for detecting financial statement fraud. A multi-relational graph is constructed to integrate industrial, supply chain, and accounting-sharing relationships, effectively encapsulating the multidimensional and complex interactions among companies. We then develop a multi-relational graph convolutional network to aggregate information within each relationship and employ an attention mechanism to fuse information across multiple relationships. The attention mechanism enables the model to distinguish the importance of different relationships, thereby aggregating more useful information from key relationships. To alleviate the class imbalance problem, we present a diffusion-based under-sampling strategy that strategically selects key nodes globally for model training. We also employ focal loss to assign greater weights to harder-to-classify minority samples. We build a real-world dataset from the annual financial statement of listed companies in China. The experimental results show that FraudGCN achieves an improvement of 3.15% in Macro-recall, 3.36% in Macro-F1, and 3.86% in GMean compared to the second-best method. The dataset and codes are publicly available at: https://github.com/XNetLab/MRG-for-Finance.

High temperatures may have a substantial impact on cellular meiosis, and subsequently affects plant reproduction, development, and yield over time. In this study, using overexpressed transgenic lines, we show that BrDMC1 , a gene involved in meiotic recombination, regulates heat tolerance during the early pollen development stage in Brassica rapa . According to the expression pattern analysis, BrDMC1.A03 was not discovered at the transcriptional level, whereas BrDMC1.A01 was highly expressed in young flower buds in B.rapa . The Cis -acting element prediction revealed that BrDMC1.A01 contains a low-temperature responsive element, and GUS histochemical analysis revealed an increased staining ability following temperature stress. Under normal conditions, there were no significant cytogenetic or molecular differences between wild-type (WT) and overexpressed- BrDMC1 (OE- BrDMC1 ).After 24 h of treatment at 38°C, compared with WT, OE- BrDMC1 demonstrated dramatically increased pollen fertility, reduced aberrant chromosomal behaviors during meiosis, lowered reactive oxygen species (ROS) concentration, and boosted antioxidant enzymes SOD, POD, and CAT. Furthermore, genes involved in repair of DNA double-strand breaks (DSBs), as well as those that govern meiotic cell cycle transition, were considerably increased in OE- BrDMC1 under high temperature stress. These findings suggest that BrDMC1 could probably mediate heat tolerance during pollen meiosis, revealing the genetic basis for meiotic adaptation to high temperatures in B.rapa .

The extensive literature on intimate partner violence (IPV) against women has focused on the single actors of forces imposed on women. Little is known about the intertwined relationships among the roles of multiple participants in the context of IPV. This study used Michel de Certeau’s concepts of strategies, tactics, and space to explore the power struggle between female survivors and IPV perpetrators, family members, and institutions. This study used data collected in semi-structured interviews between 2016 and 2018 with 24 women (30 to 54 years of age) in Taiwan who experienced IPV from their male partners. Thematic analysis was used to identify and organize themes based on the concepts of strategies, tactics, and spatial actions. Three coders analyzed the data based on the conceptual framework, and inter-rater reliability was evaluated to ensure the quality of the results. Six themes were identified and grouped into two dimensions. Female Taiwanese survivors of IPV confronted not only the strategies of their male partners and families but also strategic mechanisms from the police and nongovernmental organizations. Female survivors found tactical opportunities to evade or resist everyday forms of strategic power. Understanding the quotidian experiences of female survivors has important implications for their protection and support to help them increase their safety and well-being when they are involved in an IPV relationship in particular, and spatial power structures in general.

Epidermal stem cells (EpSCs) are crucial for wound healing and tissue regeneration, and traditional culture methods often lead to their inactivation. It is urgent to increase the yield of high quality EpSCs. In this study, primary EpSCs were isolated and cultured in a serum-free, feeder-free culture system. EpSCs are then expanded in a dynamic 3D environment using a rotating cell culture system (RCCS) with biodegradable porous microcarriers (MC). Over a period of 14 days, the cells self-assembled into microtissues with superior cell proliferation compared to 3D static culture. Immunofluorescence and qPCR analyses consistently showed that the stemness of the 3D microtissues was preserved, especially the COL17A1 associated with anti-aging was highly expressed in RCCS induced microtissues. In vivo experiments demonstrated that the group treated with 3D microtissues loaded with EpSCs showed enhanced early wound healing, and the injectable 3D microtissues were more conducive to maintaining cell viability and differentiation potential. Our study provides valuable insights into the dynamic 3D culture of EpSCs and introduces an injectable therapy using 3D microtissues loaded with EpSCs, which provides a new and effective approach for cell delivery and offering a promising strategy for guiding the regeneration of full-thickness skin defects.

For its rapid growth, high yield, and broad adaptability, Arundo donax is widely used in various applications, yielding considerable economic and ecological benefits. However, widespread cultivation is challenging because A. donax can only be propagated asexually. In this study, a tissue culture method was developed using the clustered bud proliferation pathway. The explant type, disinfection method, induction medium, proliferation medium, and rooting medium were optimized to efficiently harvest high-quality A. donax seedlings. Using axillary buds with whole cane fragments as the most suitable explants, they were first sterilized with 75% alcohol for 30 s and then disinfected with 0.1% mercuric chloride for 5 min. 97.8% of explants could successfully form clustered buds on Murashige and Skoog (MS) medium supplemented with 5.0 mg/L 6-benzylaminopurine (6-BA) and 1.0 mg/L 3-indolebutyric acid (IBA). Each individual bud achieved efficient propagation with a proliferation coefficient as high as 33.3 on MS medium supplemented with 4.0 mg/L 6-BA and 1.0 mg/L IBA. In addition, all buds were capable of rooting on 1/2 MS medium supplemented with 0.5 mg/L 1-naphthaleneacetic acid (NAA). The resultant rooted seedlings survived and developed into plantlets, averaging 44.84 cm in height and 2.54 mm in thickness, following a 30-day acclimation period. This protocol provides a robust foundation for the large-scale, high-quality propagation of A. donax, supporting its broader application in ecological restoration and bioresource industries.

Background Tumor neoantigen peptide-based vaccines, systemic immunotherapies that enhance antitumor immunity by activating and expanding antigen-specific T cells, have achieved remarkable results in the treatment of a variety of solid tumors. However, how to effectively deliver neoantigens to induce robust antitumor immune responses remains a major obstacle. Results Here, we developed a safe and effective neoantigen peptide delivery system (neoantigen-ferritin nanoparticles, neoantigen-FNs) that successfully achieved effective lymph node targeting and induced robust antitumor immune responses. The genetically engineered self-assembled particles neoantigen-FNs with a size of 12 nm were obtained by fusing a neoantigen with optimized ferritin, which rapidly drainage to and continuously accumulate in lymph nodes. The neoantigen-FNs vaccine induced a greater quantity and quality of antigen-specific CD8 + T cells and resulted in significant growth control of multiple tumors, dramatic inhibition of melanoma metastasis and regression of established tumors. In addition, no obvious toxic side effects were detected in the various models, indicating the high safety of optimized ferritin as a vaccine carrier. Conclusions Homogeneous and safe neoantigen-FNs could be a very promising system for neoantigen peptide delivery because of their ability to efficiently drainage to lymph nodes and induce efficient antitumor immune responses. Graphical Abstract