Creating a Computable Cognitive Model of Visual Aesthetics for Automatic Aesthetics Evaluation of Robotic Dance Poses

Inspired by human dancers who can evaluate the aesthetics of their own dance poses through mirror observation, this paper presents a corresponding mechanism for robots to improve their cognitive and autonomous abilities. Essentially, the proposed mechanism is a brain-like intelligent system that is symmetrical to the visual cognitive nervous system of the human brain. Specifically, a computable cognitive model of visual aesthetics is developed using the two important aesthetic cognitive neural models of the human brain, which is then applied in the automatic aesthetics evaluation of robotic dance poses. Three kinds of features (color, shape and orientation) are extracted in a manner similar to the visual feature elements extracted by human brains. After applying machine learning methods in different feature combinations, machine aesthetics models are built for automatic evaluation of robotic dance poses. The simulation results show that our approach can process visual information effectively by cognitive computation, and achieved a very good evaluation performance of automatic aesthetics

The Analysis and Calculation Method of Urban Rail Transit Carrying Capacity Based on Express-Slow Mode

Urban railway transport that connects suburbs and city areas is characterized by uneven temporal and spatial distribution in terms of passenger flow and underutilized carrying capacity. This paper aims to develop methodologies to measure the carrying capacity of the urban railway by introducing a concept of the express-slow mode. We first explore factors influencing the carrying capacity under the express-slow mode and the interactive relationships among these factors. Then we establish seven different scenarios to measure the carrying capacity by considering the ratio of the number of the express trains and the slow trains, the station where overtaking takes place, and the number of overtaking maneuvers. Taking Shanghai Metro Line 16 as an empirical study, the proposed methods to measure the carrying capacity under different express-slow mode are proved to be valid. This paper contributes to the literature by remodifying the traditional methods to measure the carrying capacity when different express-slow modes are applied to improve the carrying capacity of the suburban railway

Simulating collective behavior in the movement of immigrants by using a spatial prisoner’s dilemma with move option

The movement of immigrants is simulated by using a spatial Prisoner’s Dilemma (PD) with move option. We explore the effect of collective behavior in an evolutionary migrating dynamics. Simulation results show that immigrants adopting collective strategy perform better and thus gain higher survival rate than those not. This research suggests that the clustering of immigrants promotes cooperation

The Aggregation Mechanism Mining of Passengers’ Flow with Period Distribution Based on Suburban Rail Lines

Stranding too many passengers at the stations will reduce the service level; if measures are not taken, it may lead to serious security problems. Deeply mining the time distribution mechanism of passenger flow will guide the operation enterprises to make the operation plans, emergency evacuation plans, and so on. Firstly, the big data theory is introduced to construct the mining model of temporal aggregation mechanism with supplement and correction function, then, the clustering algorithm Time_clusterkm,n is used to mine the peak time interval of passenger flow, and the passenger flow time aggregation rule is studied from the angle of traffic dispatching command. Secondly, according to the rule of mining traffic aggregation, passenger flow calculation can be determined by the time of train lines in the suburbs of vehicle speed ratio, to match the time period of the uneven distribution of passenger flow. Finally, an example is used to prove the superiority of model in determining train ratios with the experience method. Saving energy consumption improves the service level of rail transit. The research can play a positive role in the operation of energy consumption and can improve the service level of urban rail transit

The role of the transcription factor Rbpj in the development of dorsal root ganglia

<p>Abstract</p> <p>Background</p> <p>The dorsal root ganglion (DRG) is composed of well-characterized populations of sensory neurons and glia derived from a common pool of neural crest stem cells (NCCs), and is a good system to study the mechanisms of neurogenesis and gliogenesis. Notch signaling is known to play important roles in DRG development, but the full scope of Notch functions in mammalian DRG development remains poorly understood.</p> <p>Results</p> <p>In the present study, we used <it>Wnt1-Cre </it>to conditionally inactivate the transcription factor Rbpj, a critical integrator of activation signals from all Notch receptors, in NCCs and their derived cells. Deletion of <it>Rbpj </it>caused the up-regulation of <it>NeuroD1 </it>and precocious neurogenesis in DRG early development but led to an eventual deficit of sensory neurons at later stages, due to reduced cell proliferation and abnormal cell death. In addition, gliogenesis was delayed initially, but a near-complete loss of glia was observed finally in <it>Rbpj</it>-deficient DRG. Furthermore, we found P75 and Sox10, which are normally expressed exclusively in neuronal and glial progenitors of the DRG after the NCCs have completed their migration, were co-expressed in many cells of the DRG of <it>Rbpj </it>conditional knock-out mice.</p> <p>Conclusions</p> <p>Our data indicate that Rbpj-mediated canonical Notch signaling inhibits DRG neuronal differentiation, possibly by regulating <it>NeuroD1 </it>expression, and is required for DRG gliogenesis <it>in vivo</it>.</p

Genome evolution driven by host adaptations results in a more virulent and antimicrobial-resistant Streptococcus pneumoniae serotype 14

<p>Abstract</p> <p>Background</p> <p><it>Streptococcus pneumoniae </it>serotype 14 is one of the most common pneumococcal serotypes that cause invasive pneumococcal diseases worldwide. Serotype 14 often expresses resistance to a variety of antimicrobial agents, resulting in difficulties in treatment. To gain insight into the evolution of virulence and antimicrobial resistance traits in <it>S. pneumoniae </it>from the genome level, we sequenced the entire genome of a serotype 14 isolate (CGSP14), and carried out comprehensive comparison with other pneumococcal genomes. Multiple serotype 14 clinical isolates were also genotyped by multilocus sequence typing (MLST).</p> <p>Results</p> <p>Comparative genomic analysis revealed that the CGSP14 acquired a number of new genes by horizontal gene transfer (HGT), most of which were associated with virulence and antimicrobial resistance and clustered in mobile genetic elements. The most remarkable feature is the acquisition of two conjugative transposons and one resistance island encoding eight resistance genes. Results of MLST suggested that the major driving force for the genome evolution is the environmental drug pressure.</p> <p>Conclusion</p> <p>The genome sequence of <it>S. pneumoniae </it>serotype 14 shows a bacterium with rapid adaptations to its lifecycle in human community. These include a versatile genome content, with a wide range of mobile elements, and chromosomal rearrangement; the latter re-balanced the genome after events of HGT.</p

The relationship between mental health literacy and professional psychological help-seeking behavior among Chinese college students: mediating roles of perceived social support and psychological help-seeking stigma

IntroductionMental health literacy is viewed as a significant factor that may facilitate an individual’s pursuit of professional psychological assistance. However, it is important to explore further influencing factors that might underlie this association. This study, employing the framework of the Theory of Planned Behavior (TPB), aims to examine the relationship between mental health literacy and the behavior of seeking professional psychological help, with a focus on the potential mediating roles of perceived stigma and social support in this context.MethodsWe surveyed 911 college students in seven regions of China (406 males and 505 females, aged between 19 and 25 years old; Mage = 19.65, SD = 1.41) utilizing self-report measures, including the Mental Health Literacy Questionnaire, Professional Psychological Help-Seeking Behavior Scale, Professional Psychological Help-Seeking Stigma Scale, and Perceived Social Support Scale. A chain mediation model was developed to analyze the interconnections between mental health literacy, stigma related to seeking psychological help, perceived social support, and professional psychological help-seeking behaviors.ResultsThe mediation effect analysis indicates that: (1) mental health literacy significantly positively correlates with professional psychological help-seeking behaviors; (2) both perceived social support and professional psychological help-seeking stigma significantly mediate the relationship between mental health literacy and professional psychological help-seeking behavior; (3) perceived social support and the stigma associated with seeking professional psychological help play a chained mediating effect between mental health literacy and the behavior of seeking professional psychological help.DiscussionThis study found that mental health literacy indirectly facilitates professional psychological help-seeking behaviors by enhancing the perception of social support and reducing the stigma associated with seeking such help. These findings help in understanding how improving mental health literacy and perceived social support while reducing stigma can increase the likelihood of individuals seeking professional psychological assistance. The results are significant for enhancing the utilization of mental health services and implementing mental health education programs in universities

Therapy targeted to the NLRP3 inflammasome in chronic kidney disease

Background: The NLRP3 inflammasome is a cytoplasmic polymeric protein complex composed of the cytoplasmic sensor NLRP3, the apoptosis-related spot-like protein ASC, and the inflammatory protease caspase-1. NLRP3 activates and releases IL-1β through classical pathways, and IL-18 mediates inflammation and activates gasdermin-D protein to induce cellular pyroptosis. Numerous studies have also emphasized the non-classical pathway activated by the NLRP3 inflammasome in chronic kidney disease (CKD) and the inflammasome-independent function of NLRP3. Summary: The NLRP3-targeting inflammasome and its associated pathways have thus been widely studied in models of CKD treatment, but no drug that targets NLRP3 has thus far been approved for the treatment of CKD. Key Messages: We herein reviewed the current interventional methods for targeting the NLRP3 inflammasome in various CKD models, analyzed their underlying mechanisms of action, classified and compared them, and discussed the advantages and follow-up directions of various interventional methods. This review therefore provides novel ideas and a reference for the development of targeted NLRP3-inflammasome therapy in CKD

Maternal High-Fat Diet Promotes the Development and Progression of Prostate Cancer in Transgenic Adenocarcinoma Mouse Prostate Offspring

Background/Aims: We aim to investigate the impact of maternal high fat diet (HFD) on the development and progression of prostate cancer (PCa) in transgenic adenocarcinoma mouse prostate (TRAMP) offspring. Methods: The TRAMP model was used, and divided into maternal HFD group and normal diet (ND) group in the present study. Each group contained 36 TRAMP mice. Serum levels of leptin, adiponectin, interleukin (IL) -1α, IL-1β, IL-6, tumor necrosis factor-α and monocyte chemotactic protein-1 were measured by the 20th, 24th and 28th week old through ProcartaPlex Multiplex Immunoassay. Body fat ratio was measured by MiniQMR. Tumor formation rate was measured through hematoxylin and eosin (H&#38;E) staining, and mortality rate was measured meantime. Western blot was applied to determine the levels of Protein Kinase B (Akt) and Phosphatase and tensin homolog (PTEN). Results: The mortality rate of maternal HFD group was significantly higher than that of ND group (P = 0.046). The tumor formation rate was significantly higher in maternal HFD group than in ND group only in 20th week subgroup (P = 0.040). A significant increase of leptin was seen in maternal HFD 20th and 24th week subgroups (P = 0.001 and &#x3c; 0.001, respectively) and a decrease of adiponectin was seen in maternal HFD 20th and 28th week subgroups (P =0.006 and &#x3c; 0.001, respectively). Besides, an activated phos-Akt (P-Akt) and deactivated PTEN were observed in maternal HFD group. Conclusions: Maternal HFD could increase the standard serum leptin level, inhibit the expression of PTEN protein, promote P-Akt protein expression, activate the PI3K/Akt pathway, and ultimately promote the development and progression of PCa in TRAMP offspring