Social influence analysis is important for many social network applications, including recommendation and cybersecurity analysis. We observe that the influence of community including multiple users outweighs the individual influence. Existing models focus on the individual influence analysis, but few studies estimate the community influence that is ubiquitous in online social network. A major challenge lies in that researchers need to take into account many factors, such as user influence, social trust, and user relationship, to model community-level influence. In this paper, (...) aiming to assess the community-level influence effectively and accurately, we formulate the problem of modeling community influence and construct a community-level influence analysis model. It first eliminates the zombie fans and then calculates the user influence. Next, it calculates the user final influence by combining the user influence and the willingness of diffusing theme information. Finally, it evaluates the community influence by comprehensively studying the user final influence, social trust, and relationship tightness between intrausers of communities. To handle real-world applications, we propose a community-level influence analysis algorithm called CIAA. Empirical studies on a real-world dataset from Sina Weibo demonstrate the superiority of the proposed model. (shrink)

Vehicle type recognition algorithms are broadly used in intelligent transportation, but the accuracy of the algorithms cannot meet the requirements of production application. For the high efficiency of the multilayer perceptive layer of Network in Network, the nonlinear features of local receptive field images can be extracted. Global average pooling can avoid the network from overfitting, and small convolution kernel can decrease the dimensionality of the feature map, as well as downregulate the number of model training parameters. On that basis, (...) the residual error is adopted to build a novel NIN model by altering the size and layout of the original convolution kernel of NIN. The feasibility of the algorithm is verified based on the Stanford Cars dataset. By properly setting weights and learning rates, the accuracy of the NIN model for vehicle type recognition reaches 97.2%. (shrink)

This article roots Kant’s concept of disinterestedness, as he uses it in the Critique of Judgment, in Aristotle’s notion of philia by establishing a path from ethics to aesthetics and back. In this way, the third Critique turns out to be one of the main sources for a new ideal of humanity: the ideal suitable for late Enlightenment. This article argues that Kant reaches this fruitful use of disinterestedness by giving to Aristotle’s concept of philia an aesthetic turn.

This Article analyzes the interaction between the burden of proof and evidentiary discovery rules. Both sets of rules can affect incentives for prospective injurers to invest in evidence technology. This interaction becomes acutely important in the private international law setting, where jurisdictions are split on the question whether the burden of proof should be treated as a substantive or procedural matter. When a tort occurs in Europe, but the case is litigated in American courts, treating the burden of proof as (...) a procedural matter preserves the complementarity of incentives created by the burden of proof and evidentiary rules. Conversely, treating the burden of proof as a substantive matter creates a mismatch in incentives created by the burden of proof and evidentiary rules. (shrink)

ObjectiveAnti-epidemic work against coronavirus disease has become routine work in China. Our study was intended to investigate the emotional and psychological state of healthcare workers and look for the association between sociodemographic factors/profession-related condition and emotional state.MethodsA cross-sectional survey was conducted online among healthcare workers from various backgrounds. Symptoms of anxiety and depression were assessed by the Chinese versions of the seven-item Generalized Anxiety Disorder and the nine-item Patient Health Questionnaire, respectively. Supplementary questions were recorded to describe the participants’ information (...) about workplace violence, profession, and attitude related to the COVID pandemic. Wherever suitable, independent t-test, and one-way ANOVA were performed to detect group differences of GAD-7 and PHQ-9 total scores after grouping by sociodemographic variables, respectively, such as age, gender, marital status, educational level, after-tax income, department category, job title, experience of workplace violence, and anti-epidemic participation. Multiple linear regression analyses were utilized in order to look for the potential associated factors of GAD-7 and PHQ-9 total scores.ResultsA total of 2,139 questionnaires with valid response were completed. Approximately 86.44% of participants had minimal symptoms of anxiety, 11.08% mild, 1.59% moderate, and 0.89% severe. Meanwhile, 81.34% had minimal symptoms of depression, 14.07% mild, 2.90% moderate, 1.17% moderately severe, and 0.51% severe. Student’s t-test showed that participants with female gender, with experience of workplace violence scored higher on both GAD-7 and PHQ-9, and participants with experience of anti-epidemic front-line work during pandemic scored lower on both GAD-7 and PHQ-9. ANOVA showed that participants aging from 31 to 40, with higher educational level, with middle level of annual after-tax income, with department of internal medicine or surgery, or with middle level of job title scored higher on both GAD-7 and PHQ-9. Regression analyses showed that female gender, high job title, and the experience of workplace violence positively were associated with anxiety or depression. Doctoral education, department, job enthusiasm, and professional self-identity were negatively associated with anxiety or depression. Additionally, psychological support was negatively associated with depression.ConclusionAs the epidemic prevention and control against COVID-19 become normalized in China, emotional state of healthcare workers deserves extensive attention. Our study revealed that gender, educational level, department category, job title, the experience of workplace violence, job enthusiasm, and professional self-identity are the most important influencing factors of physician’s anxiety and depression. Self-tailored psychological intervention should be based on the predisposing factors above to mentally prepare healthcare workers for this long-lasting battle against COVID-19. (shrink)

Este artículo ofrece una sistematización del vocabulario estético medieval proponiendo como elemento estructural básico una relación de intersección entre las diversas species qualitatis que Aristóteles establece en la lógica de las categorías. Dos versiones de la belleza se desvelan en esta sistematización, versiones que darán lugar a dos estéticas divergentes, una de carácter intelectualista - impulsada por la pulchritudo - y otra - impulsada por la formositas - que anunciará una estética autónoma; cada una de ellas ha legado una herencia (...) conceptual considerable a la estética contemporánea. (shrink)

Ben shu jie he shi dai fa zhan de yao qiu,Cong pi pan ji cheng you xiu chuan tong wen hua de shi jiao,Dui xian qin ru jia"he"zheng zhi lun li si xiang jin xing le bi jiao quan mian de si kao.

皮锡瑞, 晚期著名学者, 经学家.其主张解经不应"护党妒真".皮氏为各家公认的晚清经学大师.皮氏为学不主一家, 多持平允之论, 著述宏富.本书收入皮锡瑞代表性经学著作"经学历史", "经学通论", "经学家法讲义"以及其所作序跋19种.

This paper studies the implication of channel discrepancy between the retail and direct channels in a dual-channel supply chain consisting of one common retailer and two manufacturers in which the manufacturers may have different market powers. Each manufacturer provides a substitutable product and opens an online channel to customers directly. We develop an analytical model to derive the optimal pricing strategies by using game theory and the backward induction method, and we examine related properties under three market power structures while (...) considering channel discrepancy, including the Nash equilibrium, the Manufacturers leader Stackelberg, and the M1 leader Stackelberg models. Numerical simulations are examined to reveal and verify the effect of channel discrepancy on optimal prices, demands, and profits. We find that a higher level of channel discrepancy induces higher prices, demands, and profits for each member in both channels, while this kind of stimulating impact for the leader manufacturer who obtains a higher level of channel discrepancy will be more significant than it is for the other members in the three models. In addition, the profit of the supply chain in the N model is always higher than it is in the MS model, while it may be higher or lower than it is in the M1S model depending on the level of channel discrepancy. (shrink)