CGUN-2A: Deep Graph Convolutional Network via Contrastive Learning for Large-Scale Zero-Shot Image Classification.

Taxonomy illustrates that natural creatures can be classified with a hierarchy. The connections between species are explicit and objective and can be organized into a knowledge graph (KG). It is a challenging task to mine features of known categories from KG and to reason on unknown categories. Graph Convolutional Network (GCN) has recently been viewed as a potential approach to zero-shot learning. GCN enables knowledge transfer by sharing the statistical strength of nodes in the graph. More layers of graph convolution are stacked in order to aggregate the hierarchical information in the KG. However, the Laplacian over-smoothing problem will be severe as the number of GCN layers deepens, which leads the features between nodes toward a tendency to be similar and degrade the performance of zero-shot image classification tasks. We consider two parts to mitigate the Laplacian over-smoothing problem, namely reducing the invalid node aggregation and improving the discriminability among nodes in the deep graph network. We propose a top-k graph pooling method based on the self-attention mechanism to control specific node aggregation, and we introduce a dual structural symmetric knowledge graph additionally to enhance the representation of nodes in the latent space. Finally, we apply these new concepts to the recently widely used contrastive learning framework and propose a novel Contrastive Graph U-Net with two Attention-based graph pooling (Att-gPool) layers, CGUN-2A, which explicitly alleviates the Laplacian over-smoothing problem. To evaluate the performance of the method on complex real-world scenes, we test it on the large-scale zero-shot image classification dataset. Extensive experiments show the positive effect of allowing nodes to perform specific aggregation, as well as homogeneous graph comparison, in our deep graph network. We show how it significantly boosts zero-shot image classification performance. The Hit@1 accuracy is 17.5% relatively higher than the baseline model on the ImageNet21K dataset.

Effects of Parental Childhood Maltreatment on Children's School Adaptation: An Intergenerational Perspective Based on Envy.

Previous studies have examined the impact of maternal childhood maltreatment (CM) on children's school adaptation (SA), neglecting the role of fathers, and the joint influence of both parents. Based on family systems theory, this study explored the intergenerational impact of parental CM on children's SA and the mediating role of benign envy (BE) and malicious envy (ME). A total of 334 elementary school students' BE, ME, and SA statuses and their parents' CM, BE, and ME statuses were collected to construct the intergenerational transmission models of BE and ME for fathers, mothers, and parents, respectively. The results revealed that maltreated fathers or mothers individually exerted negative impacts on their children's SA, but when parents acted jointly, only fathers' CM intergenerational influence was significant. Mediation effects demonstrated that, individually, maltreated fathers indirectly affected children's SA through children's BE; maltreated mothers impacted children's SA through the "mothers' BE→children's BE" mediating chain; however, when taking combined parental action, only mothers' intergenerational transmission chain was significantly present. Identifying different intergenerational influence mechanisms of maltreated parents on offspring's school adaptation broadens our understanding of the diverse parenting roles of parents. That is, fathers foster their offspring's environmental adaptability through encouraging external exploration, while mothers enhance socialization by nurturing internal emotional development. Formulating strategies to address the emotional issues of maltreated parents, especially mothers, is crucial for mitigating the intergenerational consequences of maltreatment and enhancing the offspring's adaptability.

Child maltreatment predicts bullying/victimization through personality solidification: A weekly diary study.

BACKGROUND: Bullying among adolescents is a significant public health concern worldwide. While child maltreatment (CM) is a known risk factor, few studies explore whether abused adolescents become bullies or victims and how CM affects day-to-day bullying/victimization. Existing research often uses cross-sectional and longitudinal designs with long intervals, failing to capture the dynamic nature of adolescence and bullying behaviors. OBJECTIVE: Based on personality solidification theory, the study used a weekly diary method to examine the relationship between adolescents' CM and weekly bullying/victimization, as well as the mediating mechanisms of the Big Five personality traits. PARTICIPANTS AND SETTING: 452 students (167 girls, Mage = 12.90, SDage = 0.48) from a junior high school in southern China participated in a 7-week diary study. METHODS: After participants finished all questionnaires, multilevel models were constructed to analyze weekly diary data. RESULTS: The findings indicated that CM positively predicted adolescents' weekly bullying/victimization, both directly and indirectly, through personality traits. Specifically, CM predicted weekly bullying through openness, conscientiousness, and neuroticism, while it also forecasted weekly victimization through neuroticism. CONCLUSIONS: CM had long-term adverse effects on adolescents' day-to-day bullying and victimization through the solidification of personality, which may provide significant theoretical and empirical foundations for the prevention of bullying in schools.

Inactivation of Salmonella using ultrasound in combination with Litsea cubeba essential oil nanoemulsion and its bactericidal application on cherry tomatoes.

The presence of Salmonella in nature poses a significant and unacceptable threat to the human public health domain. In this study, the antibacterial effect and mechanism of ultrasound (US) combined with Litsea cubeba essential oil nanoemulsion (LEON) on Salmonella. LEON + US treatment has a significant bactericidal effect on Salmonella. Reactive oxygen species (ROS), malondialdehyde (MDA) detection, N-phenyl-l-naphthylamine (NPN) uptake and nucleic acid release assays showed that LEON + US exacerbated cell membrane lipid peroxidation and increased the permeability of the cell membrane. The results of field emission scanning electron microscopy (FESEM), transmission electron microscopy (TEM) showed that LEON + US treatment was able to alter cell morphology. It can be observed by flow cytometry (FCM) that LEON + US treatment can cause cell apoptosis. In addition, bacterial counts of cherry tomatoes treated with LEON (0.08 µL/mL) + US (345 W/cm2) for 9 min were reduced by 6.50 ± 0.20 log CFU/mL. This study demonstrates that LEON + US treatment can be an effective way to improve the safety of fruits and vegetables in the food industry.

Antibacterial Activity and Mechanism of Linalool against Shigella sonnei and Its Application in Lettuce.

Shigella sonnei (S. sonnei) infection accounted for approximately 75% of annual outbreaks of shigellosis, with the vast majority of outbreaks due to the consumption of contaminated foods (e.g., fresh vegetables, potato salad, fish, beef, etc.). Thus, we investigated the antibacterial effect and mechanism of linalool on S. sonnei and evaluated the effect of linalool on the sensory quality of lettuce. The minimum inhibitory concentration (MIC) of linalool against S. sonnei ATCC 25931 was 1.5 mg/mL. S. sonnei was treated with linalool at 1× MIC for 30 min and the amount of bacteria was decreased below the detection limit (1 CFU/mL) in phosphate-buffered saline (PBS) and Luria-Bertani (LB) medium. The bacterial content of the lettuce surface was reduced by 4.33 log CFU/cm2 after soaking with linalool at 2× MIC. Treatment with linalool led to increased intracellular reactive oxygen species (ROS) levels, decreased intracellular adenosine-triphosphate (ATP) content, increased membrane lipid oxidation, damaged cell membrane integrity, and hyperpolarized cell membrane potential in S. sonnei. The application of linalool to lettuce had no effect on the color of lettuce compared to the control. The sensory evaluation results showed that linalool had an acceptable effect on the sensory quality of lettuce. These findings indicate that linalool played an antibacterial effect against S. sonnei and had potential as a natural antimicrobial for the inhibition of this foodborne pathogen.