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The current COVID-19 pandemic and the previous SARS/MERS outbreaks of 2003 and 2012 have resulted in a series of major global public health crises. We argue that in the interest of developing effective and safe vaccines and drugs and to better understand coronaviruses and associated disease mechenisms it is necessary to integrate the large and exponentially growing body of heterogeneous coronavirus data. Ontologies play an important role in standard-based knowledge and data representation, integration, sharing, and analysis. Accordingly, we initiated the (...) development of the community-based Coronavirus Infectious Disease Ontology in early 2020. -/- As an Open Biomedical Ontology (OBO) library ontology, CIDO is open source and interoperable with other existing OBO ontologies. CIDO is aligned with the Basic Formal Ontology and Viral Infectious Disease Ontology. CIDO has imported terms from over 30 OBO ontologies. For example, CIDO imports all SARS-CoV-2 protein terms from the Protein Ontology, COVID-19-related phenotype terms from the Human Phenotype Ontology, and over 100 COVID-19 terms for vaccines (both authorized and in clinical trial) from the Vaccine Ontology. CIDO systematically represents variants of SARS-CoV-2 viruses and over 300 amino acid substitutions therein, along with over 300 diagnostic kits and methods. CIDO also describes hundreds of host-coronavirus protein-protein interactions (PPIs) and the drugs that target proteins in these PPIs. CIDO has been used to model COVID-19 related phenomena in areas such as epidemiology. The scope of CIDO was evaluated by visual analysis supported by a summarization network method. CIDO has been used in various applications such as term standardization, inference, natural language processing (NLP) and clinical data integration. We have applied the amino acid variant knowledge present in CIDO to analyze differences between SARS-CoV-2 Delta and Omicron variants. CIDO's integrative host-coronavirus PPIs and drug-target knowledge has also been used to support drug repurposing for COVID-19 treatment. -/- CIDO represents entities and relations in the domain of coronavirus diseases with a special focus on COVID-19. It supports shared knowledge representation, data and metadata standardization and integration, and has been used in a range of applications. (shrink)

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With the growth of online commerce, companies have created virtual communities where users can create posts and reply to posts about the company’s products. VCs can be represented as networks, with users as nodes and relationships between users as edges. Information propagates through edges. In VC studies, it is important to know how the number of topics concerning the product grows over time and what network features make a user more influential than others in the information-spreading process. The existing literature (...) has not provided a quantitative method with which to determine key points during the topic emergence process. Also, few researchers have considered the link between multilayer physical features and the nodes’ spreading influence. In this paper, we present two new ideas to enrich network theory as applied to VCs: a novel application of an adjusted coefficient of determination to topic growth and an adjustment to the Jaccard coefficient to measure the connection between two users. A two-layer network model was first used to study the spread of topics through a VC. A random forest method was then applied to rank various factors that might determine an individual user’s importance in topic spreading through a VC. Our research provides insightful ways for enterprises to mine information from VCs. (shrink)

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The application of algorithms in organizations is becoming more widespread. Previous research has aimed to enhance employees’ perceptions of algorithmic fairness by focusing on technical features. However, individuals often struggle to observe and comprehend these features, hindering their ability to form rational fairness judgments. Drawing upon fairness heuristic theory, this study explores how individuals perceive algorithmic fairness when technical features are invisible because of algorithmic opacity. Research conducted with food delivery riders in China suggests that, in the absence of transparent (...) algorithmic information, riders heuristically form perceptions of algorithmic fairness based on more salient and accessible distributive fairness information. These heuristic perceptions of algorithmic fairness further predict outcomes such as task performance and helping behavior. We also found that different distributive fairness information holds varying importance in the process of shaping heuristic perceptions of algorithmic fairness and that algorithmic transparency perceptions and tenure moderate this process. The findings extend fairness heuristic theory and have practical implications. (shrink)

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The heterogeneity of transcranial direct current stimulation protocols and clinical profiles may explain variable results in modulating excitability in the motor cortex after stroke. However, the cortical electrical effects induced by different tDCS protocols remain unclear. Here, we aimed to compare rhythm changes in electroencephalography induced by three tDCS position protocols and the association between tDCS effects and clinical factors in stroke. Nineteen patients with chronic ischemic stroke underwent four experimental sessions with three tDCS protocols [anodal, cathodal, and bilateral ] (...) and a sham protocol, according to a single-blind randomized crossover design. Resting-state EEG was acquired before and after each protocol. First, a paired-sample t-test was used to examine the difference in spectral power between pre- and post-stimulation. Then, linear and quadratic regression models were used separately to describe the association between the clinical factors of stroke and changes in spectral power which was significantly different between pre- and post-tDCS. Finally, repeated measures analysis of variance with lesion hemisphere, stimulation protocol, and the location was performed to investigate the effects of tDCS over time. The induced effect of tDCS was mainly reflected in the alpha rhythms. The alpha power was increased by atDCS, especially low-alpha, in localized areas of the central and distant areas of the frontal and parietal lobes. Bi-tDCS also affected alpha power but in a smaller area that mainly focused on high-alpha rhythms. However, ctDCS and sham had no significant effects on any EEG rhythm. The clinical factors of time since stroke and motor impairment level were related to the change in high-alpha induced by atDCS and bi-tDCS following quadratic regression models. The above-mentioned modulation effect lasted for 20 min without attenuation. In conclusion, our findings provide evidence that the alpha rhythm of EEG is modulated differently by different tDCS protocols and that high alpha is affected by clinical characteristics such as post-stroke time and motor deficits, which is of great significance for understanding the modulation effect of different tDCS protocols on stroke and the guidance of protocols to promote motor recovery following stroke. (shrink)

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In China, cultivation of the craftsmanship spirit is strongly advocated, but little attention is devoted to whether and how “working for the family” promotes heritage of this spirit. A configuration model of family motivation and organizational learning is proposed and expounded. Fuzzy set qualitative comparative analysis was used to further explore the conditional configuration. The results show that the fitting family motivation to organizational learning is important for promoting heritage of the craftsmanship spirit. There are two paths that promote efficient (...) heritage of this spirit: the institution-led path and the motivation-driven interpretation-led path. For the institution-led path, when apprentices have strong institution learning ability, the anterior-cause condition involves low family motivation, but this factor plays a weak role in promoting efficient heritage of the craftsmanship spirit. In a configuration consisting of intuition, interpretation, integration and institution, family motivation becomes irrelevant, which explains the phenomenon that organizational learning behavior reinforcement leads to a lack of family motivation. For the motivation-driven interpretation-led path, even without regular and institutionalized learning behaviors in the organization, the core conditions of high family motivation and high explanation learning, together with low intuition learning and low integration learning, will promote efficient heritage of the craftsmanship spirit. (shrink)

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This study examines the interplay of attraction and differentiation through the diachronic encoding of causative alternations in Chinese. A corpus-based analysis is conducted to profile the use of two Change of State verbs (COS verbs), pò ‘break’ and kāi ‘open’, focusing on their argument structure constructions. The analysis yields two main insights: (i) In Chinese, there are four pairs of causative alternations. The first pair, CA1, involving the alternation between NP1+COS+NP2 and NP2+COS, serves as the source for two diachronic trajectories. (...) In the first trajectory, NP1+COS+NP2 is replaced by NP1+V+COS+NP2, and forms CA2 with NP2+COS. Subsequently, NP2+COS transitions into NP2+V+COS, and constitutes CA3 with NP1+V+COS+NP2. In the second trajectory, NP1+COS+V+NP2 and NP2+COS+V emerge and form CA4. (ii) Evidence of attraction is found in the mutual influence between the causative variants NP1+V+COS+NP2 and NP1+COS+V+NP2, and in the modeling effect of the causative variant NP1+V+COS+NP2 on the inchoative variant NP2+V+COS. Differentiation is supported by the anchoring force of a larger constructional network, including the transitive/intransitive opposition and compound constructions. This study advances the theoretical understanding of the intertwinement of attraction and differentiation by elucidating the diachronic evolution of causative alternations in Chinese. (shrink)

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Gitik and Rinot (Trans Am Math Soc 364(4):1771–1795, 2012) proved assuming the existence of a supercompact that it is consistent to have a strong limit cardinal $$\kappa $$ of countable cofinality such that $$2^\kappa =\kappa ^+$$, there is a very good scale at $$\kappa $$, and $$\diamond $$ fails along some reflecting stationary subset of $$\kappa ^+\cap \text {cof}(\omega )$$. In this paper, we force over Gitik and Rinot’s model but with a modification of Gitik–Sharon (Proc Am Math Soc 136(1):311, (...) 2008) diagonal Prikry forcing to get this result for $$\kappa =\aleph _{\omega ^2}$$. (shrink)

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Fontanella :193–207, 2014) showed that if \ is an increasing sequence of supercompacts and \, then the strong tree property holds at \. Building on a proof by Neeman, we show that the strong tree property at \ is consistent with \, where \ is singular strong limit of countable cofinality.

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This article first analyzes the research background of the design elements of cognitive psychology and neural networks at home and abroad, roughly understands the research status and research background of these two courses at home and abroad, and discusses the application of cognitive psychology to neural networks. The design method has not yet formed a systematic theoretical system. Then, a systematic theoretical analysis of the research in this article is carried out to analyze the relationship between the various characteristics of (...) cognitive psychology and the design elements of the neural network, and it uses these relationships to guide the design practice. Second, it analyzes the relationship between the influence and interaction of cognitive psychology on neural network design and connects cognitive psychology with neural network design. Finally, according to the theoretical analysis and research of the system, the application of cognitive psychology in neural network design, design practice, and the relationship between the two are systematically reviewed. Through the exploratory research on cognitive psychology in neural network design, we can see that the combination of neural network design and psychology, art aesthetics, and other cross-disciplinary and multidisciplinary research is necessary, which can promote the scientific and technological progress of neural network design in the context of the information age and the improvement of public mental health. Under the background of the era in which the neural network design becomes the link between people's emotions and culture, we must fully understand the essential role of each element in neural network design and build a design concept based on cognitive psychology and emotional experience. It is hoped that the content of this topic can provide a certain reference value for the future development of neural network design and cognitive psychology and clarify the new development direction. (shrink)

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ObjectiveWe conducted the following cross-sectional study to comprehensively assess the anxiety among Chinese international students who studied online during the COVID-19 pandemic and its influencing factors.MethodsQuestionnaires were distributed through “Sojump,” and a total of 1,090 valid questionnaires were collected. The questionnaire was divided into two parts: general situation and anxiety assessment of students. The former used a self-made questionnaire, and the international general GAD-7 scale was used to measure anxiety. Chi-square test was used to analyze the differences between groups, and (...) logistic regression analysis was performed for the factors with differences.ResultsAnxiety was found in 707 of 1,090 international students. Chi-square test and multivariate Logistic regression analysis showed that the incidence of anxiety was higher in the group under 22 years of age than in the group over 22 years of age ; International students living in big cities had a higher incidence of anxiety than those living in rural areas ; international students who socialized 3 times or less monthly had a higher incidence of anxiety than those who socialized more than 3 times per month ; international students who expected purely online teaching had a higher incidence of anxiety than those who expected purely offline teaching or dual-track teaching ; international students with a subjective score of online learning experience of 6 or less had a higher incidence of anxiety than those with subjective scores of more than 6. However, gender, emotional status, BMI, major of study, vaccination status, and degree type had no significant difference in the incidence of anxiety among international students who studied online during the COVID-19 pandemic.ConclusionDuring COVID-19, international students who were younger, came from big cities, had low social frequency, expected purely online teaching, and had poor experience of online classes were risk factors for anxiety during online classes. (shrink)

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Journal Name: Cognitive Linguistics Issue: Ahead of print.

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