Basscarlsson5764

This article provides a comprehensive review of organosulfur-based AD therapeutic agents and provides insights into their future development.In this study, the transmissibility estimation of novel coronavirus (COVID-19) has been presented using the generalized fractional-order calculus (FOC) based extended Kalman filter (EKF) and wavelet transform (WT) methods. Initially, the state-space representation for the bats-hosts-reservoir-people (BHRP) model is obtained using a set of fractional order differential equations for the susceptible-exposed-infectious-recovered (SEIR) model. Afterward, the EKF and Kronecker product based WT methods have been applied to the discrete vector representation of the BHRP model. The main advantage of using EKF in this system is that it considers both the process and the measurement noise, which gives better accuracy and probable states, which are the Markovian (processes). The importance of proposed models lies in the fact that these models can accommodate conventional EKF and WT methods as their special cases. Further, we have compared the estimated number of contagious people and recovered people with the actual number of infectious people and recovered people in India and China.Recovering a system's underlying structure from its historical records (also called structure mining) is essential to making valid inferences about that system's behavior. For example, making reliable predictions about system failures based on maintenance work-order data requires determining how concepts described within the work order are related. Obtaining such structural information is challenging, requiring system understanding, synthesis, and representation design. This is often either too difficult or too time-consuming to produce. Consequently, a common approach to quickly eliciting tacit structural knowledge from experts is to gather uncontrolled keywords as record labels-i.e., "tags." One can then map those tags to concepts within the structure and quantitatively infer relationships between them. Existing models of tag similarity tend to either depend on correlation strength (e.g. find more overall co-occurrence frequencies), or on conditional strength (e.g. tag sequence probabilities). A key difficulty in applying either model is understanding under what conditions one is better than the other for overall structure recovery. In this paper, we investigate the core assumptions and implications of these two classes of similarity measures on structure recovery tasks. Then, using lessons from this characterization, we borrow from recent psychology literature on semantic fluency tasks to construct a tag similarity measure that emulates how humans recall tags from memory. We show through empirical testing that this method combines strengths of both common modeling paradigms. We also demonstrate its potential as a pre-processor for structure mining tasks via a case study in semi-supervised learning on real excavator maintenance work-orders.Research on work incivility has been abundant while that on family incivility is still in infancy stage. The current research attempts to bridge this gap. Using Ten Brummelhuis and Bakker's (2012) Work-Home Resources model (W-HR model), this study tested the role of active coping and self-efficacy in moderating the impact of family incivility on work engagement mediated through family-work enrichment. Data from 478 university faculty in different educational institutions across India tend to suggest that active coping and self-efficacy assist this sample in negating the negative impact of family incivility on work engagement through family-work enrichment. The mediated relationship between family incivility, family-work enrichment and work engagement was found to be stronger for those respondents with the dual resources of active coping and self - efficacy. The study found significant support for core propositions of the W-HR model and puts forward both theoretical and several practical implications. Future directions are also presented.

The online version contains supplementary material available at 10.1007/s12144-021-01420-4.

The online version contains supplementary material available at 10.1007/s12144-021-01420-4.Since the COVID-19 outbreak, school closures have affected over 1.5 billion children worldwide. Many countries implemented a rapid transition to distance education (DE), but the effects of such transition on family life remain largely underexplored. The current study used a cross-sectional, correlational survey design to explore the role of DE and family resources (parenting self-efficacy and family functioning) in perceived stress among Italian parents of first-grade children (N = 89). Results of hierarchical multiple regression indicated that, after controlling for stressful events experienced during school closure, parents' difficulty to manage children's DE was positively linked to levels of stress. However, this association became nonsignificant after adding family resources to the model, with more parental self-efficacy and good family functioning predicting less perceived stress. The findings underscore the importance of supporting positive resources within the family environment to reduce DE-related parental stress in the context of the ongoing COVID-19 pandemic.Adolescents have been called the "digital natives of the technology age", but determining adolescents' awareness, attitudes and behavior with respect to technology addiction (TA) is important for developing balanced and effective approaches to support their physical and psychological well-being after the COVID-19 pandemic. For this reason, the present study investigates the impact of attitudes on TA behavior in 382 adolescents by gender and extent of technology use. Three scales were used to determine adolescents' TA awareness, attitude, and behavior. The results of the dual-moderated mediation model show that gender and duration of technology use (h) moderated the full mediation of attitude on awareness and behavior in TA (F = 39.29, df = 9;372, p  less then  .01). The indirect effect in males with 16.04 h per day of technology use is stronger (.24) than the indirect effect in males with 4.90 h per day of technology use (.13). In addition, the simple slope plot shows that when attitude scores increase, addictive behavior rises in females (simple slope = .