Vocal Emotion of Humanoid Robots: A Study from Brain Mechanism

[[abstract]]—Driven by rapid ongoing advances in humanoid robot, increasing attention has been shifted into the issue of emotion intelligence of AI robots to facilitate the communication between man-machines and human beings, especially for the vocal emotion in interactive system of future humanoid robots. This article explored the brain mechanism of vocal emotion by studying previous researches, and developed an experiment to observe the brain response by fMRI, to analyze vocal emotion of human beings. Findings in this article provided a new approach to design and evaluate the vocal emotion of humanoid robots based on brain mechanism of human beings.[[notice]]補正完畢[[incitationindex]]SCI[[cooperationtype]]國外[[countrycodes]]HR

Post-traumatic stress disorder and depressive symptoms among firefighters: a network analysis

BackgroundFirefighters, as first responders with a high risk of occupational exposure to traumatic events and heavy working stress, have a high prevalence of PTSD symptoms and depressive symptoms. But no previous studies analyzed the relationships and hierarchies of PTSD and depressive symptoms among firefighters. Network analysis is a novel and effective method for investigating the complex interactions of mental disorders at the symptom level and providing a new understanding of psychopathology. The current study was designed to characterize the PTSD and depressive symptoms network structure in the Chinese firefighters.MethodThe Primary Care PTSD Screen for DSM-5 (PC-PTSD-5) and the Self-Rating Depression Scale (SDS) were applied to assess PTSD and depressive symptoms, respectively. The network structure of PTSD and depressive symptoms was characterized using “expected influence (EI)” and “bridge EI” as centrality indices. The Walktrap algorithm was conducted to identify communities in the PTSD and depressive symptoms network. Finally, Network accuracy and stability were examined using the Bootstrapped test and the case-dropping procedure.ResultsA total of 1,768 firefighters were enrolled in our research. Network analysis revealed that the relationship between PTSD symptoms, “Flashback” and “Avoidance,” was the strongest. “Life emptiness” was the most central symptom with the highest EI in the PTSD and depression network model. Followed by “Fatigue” and “Interest loss.” Bridge symptoms connecting PTSD and depressive symptoms in our study were “Numb,” “High alertness,” “Sad mood,” and “Compunction and blame,” successively. The data-driven community detection suggested the differences in PTSD symptoms in the clustering process. The reliability of the network was approved by both stability and accuracy tests.ConclusionTo the best of our knowledge, the current study first demonstrated the network structure of PTSD and depressive symptoms among Chinese firefighters, identifying the central and bridge symptoms. Targeting interventions to the symptoms mentioned above may effectively treat firefighters suffering from PTSD and depressive symptoms

Factors related to the length of stay for major depressive disorder patients in China: A real-world retrospective study

BackgroundAs numerous patients with depression have to be hospitalized because of various reasons, the demand far exceeds the limited bed count in the psychiatry department. Controlling the length of stay (LOS) of the patient is gradually being considered an effective method to alleviate this problem. Given the lack of statistical evidence of the LOS of patients with major depressive disorder (MDD) in China and the strain on the limited psychiatric resources, the purpose of our study was to investigate the LOS of patients with MDD among in-patient samples and to analyze related factors of the LOS in China by building a regression model.MethodThe data were exported from the electronic medical record system. A total of three categories of independent variables were enrolled in our study, namely, demographic, clinical, and biochemical. Univariate analysis and binominal regression analysis were applied comprehensively to find the factors related to the LOS among MDD samples. The discrimination accuracy of the model was evaluated by the receiver operating characteristic (ROC) analysis. ROC analysis indicated that the discrimination accuracy of our model was acceptable (AUC = 0.790, 95% CI = 0.714–0.865, P < 0.001).ResultA total of 254 patients were finally brought into analysis after filtering. Regression analysis indicated that abnormal LDL was the only risk factor of long LOS (OR = 3.352, 95% CI = 1.087–10.337, P = 0.035) among all the kinds of variables. Notably, in the statistically irrelevant factors of the LOS, the category of anti-depressant drugs [serotonin–norepinephrine reuptake inhibitor (SNRI) or selective serotonin reuptake inhibitor (SSRI)] prescribed to patients with MDD was not associated statistically with the LOS, which was against our initial hypothesis that the LOS of patients with MDD treated with SNRI would vary from that of the patients treated with SSRI.ConclusionUp to our knowledge, our research is the first study to show the potential factors related to the LOS from various domains, especially biochemical indexes, and the effect of drugs, among clinical patients with MDD in China. Our results could provide a theoretical reference for efficient psychiatry hospitalization management and prioritization of allocating medical resources. Future studies are required for updating independent variables which are potentially related to the LOS and verifying existing results in a larger sample

Valproic acid inhibits Aβ production, neuritic plaque formation, and behavioral deficits in Alzheimer's disease mouse models

Neuritic plaques in the brains are one of the pathological hallmarks of Alzheimer's disease (AD). Amyloid β-protein (Aβ), the central component of neuritic plaques, is derived from β-amyloid precursor protein (APP) after β- and γ-secretase cleavage. The molecular mechanism underlying the pathogenesis of AD is not yet well defined, and there has been no effective treatment for AD. Valproic acid (VPA) is one of the most widely used anticonvulsant and mood-stabilizing agents for treating epilepsy and bipolar disorder. We found that VPA decreased Aβ production by inhibiting GSK-3β–mediated γ-secretase cleavage of APP both in vitro and in vivo. VPA treatment significantly reduced neuritic plaque formation and improved memory deficits in transgenic AD model mice. We also found that early application of VPA was important for alleviating memory deficits of AD model mice. Our study suggests that VPA may be beneficial in the prevention and treatment of AD

Mangiferin Attenuates Murine Lupus Nephritis by Inducing CD4+Foxp3+ Regulatory T Cells via Suppression of mTOR Signaling

Background/Aims: Lupus nephritis (LN) is an autoimmune glomerulonephritis that frequently develops secondary to systemic lupus erythematosus. Patients with LN require extensive treatments with global immunosuppressive agents. However, long-term treatment with conventional immunosuppressants may cause various side effects. Therefore, it’s important to seek alternative drugs for treating LN. Here we aimed to investigate the immunoregulatory effects of mangiferin (MG), an ingredient that was originally extracted from natural herbs, including Mangifera Indica Linn. and Rhizoma Anemarrhenae. Methods: FasL-deficient B6/ gld mice were used as a spontaneous LN model. The serum anti-dsDNA Ab and creatinine levels were analyzed via ELISA. Renal histology and immunopathology were determined using H&E and PAS staining, immunofluorescence (IgG and C3), and IHC staining (CD3 and a-SMA). Cytokine gene expression was measured by RT-PCR assays while effector T cells and Tregs were enumerated by flow analysis. Finally, the proliferation and apoptosis of T cells were measured by CFSE staining and flow analysis while their mTOR signaling was detected through Western blotting. Results: We found that administration of MG ameliorated LN in lupus-prone B6/gld mice by reducing the urinary protein and serum creatinine levels, diminishing T cell infiltration in kidneys and improving renal immunopathology. MG also significantly lowered the percentages of CD44highCD62Llow effector T cells in B6/gld mice. Importantly, treatments with MG augmented CD4+FoxP3+ Treg frequencies in spleens, lymph nodes and kidneys of B6/gld mice. It also induced CD4+FoxP3+ Tregs from CD3+ T cells in vitro and promoted Treg proliferation. Furthermore, it inhibited CD3+ T cell proliferation in vitro and suppressed their phosphorylation of mTOR and its downstream P70S6K. However, MG did not promote T cell apoptosis, implying that it is not cytotoxic. Depletion of CD4+CD25+FoxP3+ Tregs in B6/gld mice abrogated its therapeutic effects on LN. Conclusion: MG exerts a novel therapeutic effect on murine LN via upregulating CD4+FoxP3+ Tregs, downregulating mTOR/p70S6K pathway and improving renal immunopathology. It may be useful for treating LN in clinic

Should investors prefer Canadian hedge funds or stocks?

This paper updates Brulhart and Klein (2006) by comparing the magnitude of extreme returns from Tremont, HFRI hedge fund indices with stock indices. It also compares the magnitude of extreme returns from Canadian hedge fund indices with stock indices. We found that the results from Brulhart and Klein hold for the updated US data. However, the results do not hold for the Canadian hedge fund indices. The magnitude of extreme returns from Canadian hedge fund indices is lower than the magnitude of extreme returns from TSX composite, Nasdaq, Tremont and HFRI hedge fund indices, but it is higher than the S&P 500. We believe that is because the composition of the Canadian hedge fund industry is different from the US hedge fund industry. Equity long/short is the most popular hedge fund strategy in Canada, so the Canadian hedge fund industry overall is more similar to the US equity long/short strategy