Publications by authors named "Chong-yang Wang"

The article presents a perspective on how the emerging generative AI technology can shape social media and the new challenges in studying social media in this generative.

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Complicated chemical reactions occur in the decoction of traditional Chinese medicines(TCMs) which features complex components, influencing the safety, efficacy, and quality controllability of TCMs. Therefore, it is particularly important to clarify the chemical reaction mechanism of TCMs in the decoction. This study summarized eight typical chemical reactions in the decoction of TCMs, such as substitution reaction, redox reaction, isomerization/stereoselective reaction, complexation, and supramolecular reaction.

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Results show that the astrocytes can not only listen to the talk of large assemble of neurons but also give advice to the conversations and are significant sources of heterogeneous couplings as well. In the present work, we focus on such regulation character of astrocytes and explore the role of heterogeneous couplings among interacted neuron-astrocyte components in a signal response. We consider reduced dynamics in which the listening and advising processes of astrocytes are mapped into the form of group coupling, where the couplings are normally distributed.

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A moderate degree of diversity, in form of quenched noise or intrinsic heterogeneity, can significantly strengthen the collective response of coupled extended systems. As yet, related discoveries on diversity-induced resonance are mainly concentrated on symmetrically distributed heterogeneity, e.g.

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Objective: To clarify the influence of obstructive sleep apnea (OSA) on postoperative cognitive dysfunction (POCD) in elderly patients undergoing joint replacement.

Methods: This study retrospectively enrolled130 patients who underwent joint replacement in the Department of Orthopaedics of Taizhou Municipal Hospital between January 2019 and March 2021 for analysis. According to polysomnography (PSG) results, 80 patients without OSA were included in group A and 50 with OSA were assigned to group B.

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Article Synopsis
  • Macrophages play a crucial role in diseases related to inflammation, and this study focuses on how Notch signaling is involved when TLR4, a receptor activated by bacteria, stimulates these cells.
  • The researchers found that when macrophages were stimulated with lipopolysaccharide (LPS), there was an increase in Notch1 expression and its target genes, indicating that TLR4 enhances Notch signaling in inflammatory responses.
  • By inhibiting Notch signaling with a specific drug (DAPT), the study showed reduced levels of pro-inflammatory proteins and disrupted an important pathway (NF-κB) that is usually activated during TLR4 signaling, suggesting that targeting Notch1
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Aim: To evaluate the accuracy, efficiency, and reliability of a handheld infrared eccentric autorefractor (hICA) with artificial intelligence (AI) by comparing its refraction measurements to those recorded using hICA and a clinical table-mounted automatic refractor (TAR).

Methods: A cross-sectional study using three optometers, including hICA with or without AI and TAR, for refractometry of adults (aged 19-49 years old) with no signs of ocular disease or trauma in the absence of cycloplegia. Right and left eye refraction data were recorded, including the spherical equivalent (SE), diopter of spherical power (DS), diopter of cylindrical power (DC) decomposed into vectors J0 and J45, and measurement times.

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  • - AITC (allyl isothiocyanate) has shown potential in improving symptoms of chronic obstructive pulmonary disease (COPD) by regulating lipid metabolism and reducing inflammation.
  • - In studies involving COPD rat models and 16HBE cell stimulation, AITC treatment resulted in better lung function, reduced inflammatory markers (IL-1 β and TNF- α), and improved lipid metabolism, compared to control groups.
  • - The beneficial effects of AITC were linked to its ability to activate LXR pathways, which reversed the negative impacts of cigarette smoke exposure on lipid metabolism and macrophage inflammation, indicating a specific molecular mechanism of action.
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The phase transition of epidemic spreading model on networks is one of the most important concerns of physicists to theoretical epidemiology. In this paper, we present an analytical expression of epidemic threshold for interplay between epidemic spreading and human behavior on multiplex networks. The threshold formula proposed in this paper reveals the relation between the threshold on single-layer networks and that on multiplex networks, which means that the theoretical conclusions of single-layer networks can be used to improve the threshold accuracy of multiplex networks.

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We investigate the occurrence of synchronous population activities in a neuronal network composed of both excitatory and inhibitory neurons and equipped with short-term synaptic plasticity. The collective firing patterns with different macroscopic properties emerge visually with the change of system parameters, and most long-time collective evolution also shows periodic-like characteristics. We systematically discuss the pattern-formation dynamics on a microscopic level and find a lot of hidden features of the population activities.

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Drug addiction is a widespread social problem, which not only brings adverse consequences to the human body, but also causes great burden to the society. However, it's still unclear how the long-term and sustained cocaine exposure will affect clock genes' expression in the reward related brain areas. We hypothesize that chronic cocaine exposure causes changes in the circadian rhythmic expression of clock genes in brain regions associated with reward, since previous studies have shown that cocaine use causes circadian disorders.

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In this work, we use the approximate-master-equation approach to study the dynamics of the Kinouchi-Copelli neural model on various networks. By categorizing each neuron in terms of its state and also the states of its neighbors, we are able to uncover how the coupled system evolves with respective to time by directly solving a set of ordinary differential equations. In particular, we can easily calculate the statistical properties of the time evolution of the network instantaneous response, the network response curve, the dynamic range, and the critical point in the framework of the approximate-master-equation approach.

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Pigeon paramyxovirus type-1(PPMV-1) is an enzootic in pigeon flocks and causes severe economic losses in the poultry industry in many countries. A PPMV-1 isolate, abbreviated as PPMV-1/QL-01/CH/15, was isolated from a great spotted woodpecker in the northwest region of China in 2015. The complete genome was sequenced, and the results showed that the virus genome was 15,192 nt in length, in the gene arrangement 3'-NP-P-M-F-HN-L-5'.

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