Multi-Modal Representation via Contrastive Learning with Attention Bottleneck Fusion and Attentive Statistics Features.

The integration of information from multiple modalities is a highly active area of research. Previous techniques have predominantly focused on fusing shallow features or high-level representations generated by deep unimodal networks, which only capture a subset of the hierarchical relationships across modalities. However, previous methods are often limited to exploiting the fine-grained statistical features inherent in multimodal data. This paper proposes an approach that densely integrates representations by computing image features' means and standard deviations. The global statistics of features afford a holistic perspective, capturing the overarching distribution and trends inherent in the data, thereby facilitating enhanced comprehension and characterization of multimodal data. We also leverage a Transformer-based fusion encoder to effectively capture global variations in multimodal features. To further enhance the learning process, we incorporate a contrastive loss function that encourages the discovery of shared information across different modalities. To validate the effectiveness of our approach, we conduct experiments on three widely used multimodal sentiment analysis datasets. The results demonstrate the efficacy of our proposed method, achieving significant performance improvements compared to existing approaches.

Convolutional Models with Multi-Feature Fusion for Effective Link Prediction in Knowledge Graph Embedding.

Link prediction remains paramount in knowledge graph embedding (KGE), aiming to discern obscured or non-manifest relationships within a given knowledge graph (KG). Despite the critical nature of this endeavor, contemporary methodologies grapple with notable constraints, predominantly in terms of computational overhead and the intricacy of encapsulating multifaceted relationships. This paper introduces a sophisticated approach that amalgamates convolutional operators with pertinent graph structural information. By meticulously integrating information pertinent to entities and their immediate relational neighbors, we enhance the performance of the convolutional model, culminating in an averaged embedding ensuing from the convolution across entities and their proximal nodes. Significantly, our methodology presents a distinctive avenue, facilitating the inclusion of edge-specific data into the convolutional model's input, thus endowing users with the latitude to calibrate the model's architecture and parameters congruent with their specific dataset. Empirical evaluations underscore the ascendancy of our proposition over extant convolution-based link prediction benchmarks, particularly evident across the FB15k, WN18, and YAGO3-10 datasets. The primary objective of this research lies in forging KGE link prediction methodologies imbued with heightened efficiency and adeptness, thereby addressing salient challenges inherent to real-world applications.

Aflatoxin B1 affects porcine alveolar macrophage growth through the calcium signaling pathway mediated by the ceRNA regulatory network.

BACKGROUND: Aflatoxin B1 (AFB1), one of the most prevalent contaminants in human and animal food, impairs the immune system, but information on the mechanisms of AFB1-mediated macrophage toxicity is still lacking. METHODS AND RESULTS: In this study, for the first time, we employed whole transcriptome sequencing technology to explore the molecular mechanism by which AFB1 affects the growth of porcine alveolar macrophages (PAM). We found that AFB1 exposure reduced the proliferative capacity of PAM and prevented cell cycle progression. Based on whole transcriptome analysis, RT-qPCR, ICC and RNAi, we verified the role and regulatory mechanism of the competing endogenous RNA (ceRNA) network in the process of AFB1 exposure affecting the growth of PAM. CONCLUSIONS: We found that AFB1 induced MSTRG.43,583, MSTRG.67,490, MSTRG.84,995, and MSTRG.89,935 to competitively bind miR-219a, miR-30b-3p, and miR-30c-1-3p, eliminating the inhibition of its target genes CACNA1S, RYR3, and PRKCG. This activated the calcium signaling pathway to regulate the growth of PAM. These results provide valuable information on the mechanism of AFB1 exposure induced impairment of macrophage function in humans and animals.

Naringin regulates intestinal microorganisms and serum metabolites to promote spermatogenesis.

Naringin (NAR) is a dihydroflavonoid with various biological activities and pharmacological effects, especially natural antioxidant activity. To gain a better understanding of the effects of NAR on the reproductive system, especially spermatogenesis, we employed western blotting, immunofluorescence, immunohistochemistry, metabolomics and microbiomics to comprehensively dissect the impact of NAR on spermatogenesis. NAR promotes germ cell proliferation and testicular development, and promotes the secretion of sex hormones. Microbiomic and metabonomic analysis showed that NAR improved intestinal microflora and cooperated with serum metabolites to regulate spermatogenesis. Therefore, NAR is beneficial for male reproduction by regulating intestinal microorganisms and serum metabolism.

Antioxidant and Biological Activities of the Lotus Root Polysaccharide-Iron (III) Complex.

In this study, the synthesis parameters of the lotus root polysaccharide iron complex (LRPF) were determined and optimized by response surface methodology. Under the optimum preparation conditions, the pH of the solution was 9, the ratio of M (trisodium citrate): m (lotus root polysaccharide) was 0.45, the reaction time was 3 h. UV spectroscopy, thermogravimetry, FT-IR spectroscopy, X-ray diffraction, CD, and NMR were used for the characterization of the LRPF. LRPF has good stability and easily releases iron ions under artificial gastrointestinal conditions. LRPF exhibited antioxidant activity in vitro and can significantly improve the antioxidant activity in vivo. In addition, LRPF has a good effect in the treatment of iron deficiency anemia in model mice, impacts the gut microbiome, and reduces the iron deficiency-induced perniciousness by regulating steroid hormone biosynthesis. Therefore, LRPF can be used as a nutritional supplement to treat and prevent iron-deficiency anemia and improve human immunity.

Efficacy of cognitive therapy and behavior therapy for menopausal symptoms: a systematic review and meta-analysis.

BACKGROUND: T long-term effects of cognitive therapy and behavior therapy (CTBT) for menopausal symptoms are unknown, and whether the effects are different between natural menopause and treatment-induced menopause are currently unclear. Therefore, we sought to conduct an accurate estimate of the efficacy of CTBT for menopausal symptoms. METHODS: We conducted searches of Cochrane Library, EMBASE, PsycINFO, PubMed, and Web of Science databases for studies from 1 January 1977 to 1 November 2021. Randomized controlled trials (RCTs) comparing intervention groups to control groups for menopausal symptoms were included. Hedge's g was used as the standardized between-group effect size with a random-effects model. RESULTS: We included 14 RCTs comprising 1618 patients with a mean sample size of 116. CTBT significantly outperformed control groups in terms of reducing hot flushes [g = 0.39, 95% confidence interval (CI) 0.23-0.55, I2 = 45], night sweats, depression (g = 0.50, 95% CI 0.34-0.66, I2 = 51), anxiety (g = 0.38, 95% CI 0.23-0.54, I2 = 49), fatigue, and quality of life. Egger's test indicated no publication bias. CONCLUSIONS: CTBT is an effective psychological treatment for menopausal symptoms, with predominantly small to moderate effects. The efficacy is sustained long-term, although it declines somewhat over time. The efficacy was stronger for natural menopause symptoms, such as vasomotor symptoms, than for treatment-induced menopause symptoms. These findings provide support for treatment guidelines recommending CTBT as a treatment option for menopausal symptoms.

Balanced scorecard-based performance evaluation of Chinese county hospitals in underdeveloped areas.

Objective Since the Guangxi government implemented public county hospital reform in 2009, there have been no studies of county hospitals in this underdeveloped area of China. This study aimed to establish an evaluation indicator system for Guangxi county hospitals and to generate recommendations for hospital development and policymaking. Methods A performance evaluation indicator system was developed based on balanced scorecard theory. Opinions were elicited from 25 experts from administrative units, universities and hospitals and the Delphi method was used to modify the performance indicators. The indicator system and the Topsis method were used to evaluate the performance of five county hospitals randomly selected from the same batch of 2015 Guangxi reform pilots. Results There were 4 first-level indicators, 9 second-level indicators and 36 third-level indicators in the final performance evaluation indicator system that showed good consistency, validity and reliability. The performance rank of the hospitals was B > E > A > C > D. Conclusions The performance evaluation indicator system established using the balanced scorecard is practical and scientific. Analysis of the results based on this indicator system identified several factors affecting hospital performance, such as resource utilisation efficiency, medical service price, personnel structure and doctor-patient relationships.

A meta-analysis of the efficacy of cognitive behavior therapy on quality of life and psychological health of breast cancer survivors and patients.

OBJECTIVE: The aim of this study was to examine the effect of cognitive behavior therapy (CBT) on quality of life (QOL) and psychological health of breast cancer survivors and patients. METHODS: A total of 1289 references were examined from an overall literature search in PubMed, Embase, CINAHL, and the Cochrane Database of Systematic Reviews. Randomized controlled trials assessing the efficacy of CBT compared with a range of comparators in cancer survivors. We assessed the effect of CBT by using the standardized mean difference as effect size. RESULTS: Among 1289 abstracts and 292 full-text articles reviewed, 10 studies were included. At the posttreatment period, the pooled effect size for CBT on QOL was 0.57 (95% CI, 0.44 to 0.69; P < .001), on depression was -1.11 (95% CI, -1.28 to -0.94; P < .001), on stress was -0.40 (95% CI, -0.53 to -0.26; P < .001), on anxiety was -1.10 (95% CI, -1.27 to -0.93; P < .001), and on hyperarousal cluster of symptoms was -0.18 (95% CI, -0.30 to -0.05; P < .001). The QOL was considered statistically medium effect sizes. The depression and anxiety were considered statistically large effect sizes. CONCLUSIONS: Cognitive behavior therapy is an effective therapy for psychological symptoms of cancer survivors and patients, with meaningfully clinical effect sizes. These findings suggested that CBT should be used as the intervention for breast cancer survivors and patients when possible.

[Prevalence and predictors of acute stress disorder after earthquake: findings from Wenchuan earthquake in China].

OBJECTIVE: To investigate the prevalence and predictors of acute stress disorder (ASD) in the victims affected by Wenchuan earthquake in China. METHODS: A random clustered sampling method was used. Of 891 victims enrolled in the study, 874 were completely assessed with the ASD constructive questionnaire and diagnosed with DSM-IV criteria. Sociodemographic variables were obtained. Also, the major symptoms of ASD (i.e., general symptoms to a traumatic event; dissociative symptoms; re-experiencing symptoms; hyper-arousal symptoms; avoidance symptoms) were recorded. RESULTS: The incidence rate of ASD was 12.59% (110/874). The incidence rates of ASD for female and male were 15.16% (72/475) and 9.52% (38/399) respectively. There was a significant difference between female and male on the incidence rate of ASD (chi(2) = 6.26, P = 0.01). Logistic regression indicated that the ASD diagnosis was predicted by gender (beta = 0.58, P = 0.01, OR = 1.79), the condition of casualties of family members (beta = 0.60, P = 0.01, OR = 1.82), and the condition of sharp properties loss (beta = 1.02, P = 0.01, OR = 2.76). CONCLUSION: The major earthquake should have great influence on mental health of victims. The efforts to reduce casualties and property loss might help to prevent ASD. Further research is needed on gender difference among traumatic events.