Yang Liu

Objective: This study aimed to explore the relationship among cognitive fusion, experiential avoidance, and obsessive–compulsive symptoms in patients with obsessive–compulsive disorder.Methods: A total of 118 outpatient and inpatient patients with OCD and 109 healthy participants, gender- and age-matched, were selected using cognitive fusion questionnaire, acceptance and action questionnaire−2nd edition, Yale–Brown scale for obsessive–compulsive symptoms, Hamilton anxiety scale, and Hamilton depression scale for questionnaire testing and data analysis.Results: The levels of cognitive fusion and experiential avoidance in the OCD group were significantly higher than those in the healthy control group. Regression analysis results showed that, in predicting the total score of obsessive–compulsive symptoms, AAQ-II and CFQ entered the equation, which explained 17.1% variance. In predicting anxiety, only AAQ-II entered the equation, which explained 13% variance. In the prediction of depression, AAQ-II entered the equation, which explained 17.7% variance.Conclusion: Cognitive fusion and experiential avoidance may be important factors for the maintenance of OCD, and experiential avoidance can positively predict the anxiety and depression of OCD patients.

In organisms, ribonucleic acid plays an essential role. Its function is being discovered more and more. Due to the conserved nature of RNA sequences, its function mainly depends on the RNA secondary structure. The discovery of an approximate relationship between two RNA secondary structures helps to understand their functional relationship better. It is an important and urgent task to explore structural similarities from the graphical representation of RNA secondary structures. In this paper, a novel graphical analysis method based on the triple vector curve representation of RNA secondary structures is proposed. A combinational method involving a discrete wavelet transform and fractal dimension with sliding window is introduced to analyze and compare the graphs derived from feature extraction; after that, the distance matrix is generated. Then, the distance matrix is analyzed by clustering and visualized as a clustering tree. RNA virus and noncoding RNA datasets are applied to perform experiments and analyze the clustering tree. The results show that the proposed method yields more accurate results in the comparison of RNA secondary structures.

In countries such as China, where Confucianism is the backbone of national culture, high-social-status entrepreneurs are inclined to engage in corporate social responsibility activities due to the perceived high stress from stakeholders and high ability of doing CSR. Based on a large-scale survey of private enterprises in China, our paper finds that Chinese entrepreneurs at private firms who have high social status are prone to engage in social responsibility efforts. In addition, high-social-status Chinese entrepreneurs are even more likely to engage in social responsibility efforts as they become more politically connected and as the region becomes more market-oriented. These findings extend the upper echelons perspective of CSR into Chinese context by shedding light on antecedents of CSR from a new perspective and clarifying the boundary conditions of the social status–CSR link from the institutional perspective.

Graphical AbstractCRISPR activation (CRISPRa) in bacteria is an attractive method for programmable gene activation. In article number 1900252, Yang Liu and Baojun Wang summarize the current state-of-the-art in this area of high potential, and present the powerful features and capabilities of a newly reported eukaryote-like, σ54-dependent CRISPRa system. The eukaryote-like bacterial CRISPRa enables novel designs in synthetic gene regulation and promotes research in the σ54-dependent gene networks with broad applications envisioned.

CRISPR (clustered regularly interspaced short palindromic repeats) activation (CRISPRa) in bacteria is an attractive method for programmable gene activation. Recently, a eukaryote‐like, σ54‐dependent CRISPRa system has been reported. It exhibits high dynamic ranges and permits flexible target site selection. Here, an overview of the existing strategies of CRISPRa in bacteria is presented, and the characteristics and design principles of the CRISPRa system are introduced. Possible scenarios for applying the eukaryote‐like CRISPRa system is discussed with corresponding suggestions for performance optimization and future functional expansion. The authors envision the new eukaryote‐like CRISPRa system enabling novel designs in multiplexed gene regulation and promoting research in the σ54‐dependent gene regulatory networks among a variety of biotechnology relevant or disease‐associated bacterial species.

The event-triggered consensus control for leader-following multiagent systems subjected to external disturbances is investigated, by using the output feedback. In particular, a novel distributed event-triggered protocol is proposed by adopting dynamic observers to estimate the internal state information based on the measurable output signal. It is shown that under the developed observer-based event-triggered protocol, multiple agents will reach consensus with the desired disturbance attenuation ability and meanwhile exhibit no Zeno behaviors. Finally, a simulation is presented to verify the obtained results.