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An important Research Particular Druggist Treatments along with Threat Assessments During the 12-Month TRANSAFE Rx Randomized Manipulated Demo.
(PsycInfo Database Record (c) 2022 APA, all rights reserved).A cornerstone of broken windows theory concerns public perceptions of disorder and crime, and the citizens' "panic response" with the onset of disorder in their neighborhoods. Naturally, assuming this dynamic to exist lends support for a significant expansion of police operations from traditional crime control to order maintenance. More specifically, the advocates of the theory presume that citizens view disorder and crime as two distinctive constructs, and further that the former triggers the latter. Broken windows theory was quite popular during the 1990s and early 2000s, a period in which order maintenance or quality of life policing reached its apex of popularity. Findings from recent studies on public perceptions of disorder and crime, however, have called into serious question the cognitive distinction between crime and disorder. Using data collected from a random telephone survey of residents residing in the Houston metropolitan area, we follow this line of research and test the hypothesized dynamics underlying broken windows theory. Our principal findings suggest that neither a one-factor model (convergent) nor a two-factor model (discriminant) fit the empirical data when an appropriate concept validation process is carried out. Implications are drawn for broken windows theory and some specific recommendations are made for future research at the end of the study.The vapor pressure is a specific and temperature-dependent parameter that describes the volatility of a substance and thus its driving force for evaporation or sublimation into the gas phase. Depending on the magnitude of the vapor pressure, there are different methods for experimental determination. However, these are usually associated with a corresponding amount of effort and become less accurate as the vapor pressure decreases. For purposes of vapor pressure prediction, algorithms were developed that are usually based on quantitative structure-activity relationships (QSAR). The quantum mechanical (QM) approach followed here applies an alternative, much less empirical strategy, where the change in Gibbs free energy for the transition from the condensed to the gas phase is obtained from conformer ensembles computed for each phase separately. The results of this automatic, so-called CRENSO workflow are compared with experimentally determined vapor pressures for a large set of environmentally relevant compounds. In addition, comparisons are made with the single structure-based COSMO-RS QM approach, linear-free-energy relationships (LFER) as well as results from the SPARC program. selleck We show that our CRENSO workflow is superior to conventional prediction models and provides reliable vapor pressures for liquids and sub-cooled liquids over a wide pressure range.Recent primate studies suggest a potential link between pupil size and subjectively elapsed duration. Here, we sought to investigate the relationship between pupil size and perceived duration in human participants performing two temporal bisection tasks in the subsecond and suprasecond interval ranges. In the subsecond task, pupil diameter was greater during stimulus processing when shorter intervals were overestimated but also during and after stimulus offset when longer intervals were underestimated. By contrast, in the suprasecond task, larger pupil diameter was observed only in the late stimulus offset phase prior to response prompts when longer intervals were underestimated. This pattern of results suggests that pupil diameter relates to an error monitoring mechanism in interval timing. These results are at odds with a direct relationship between pupil size and the perception of duration but suggest that pupillometric variation might play a key role in signifying errors related to temporal judgments. (PsycInfo Database Record (c) 2022 APA, all rights reserved).The involvement of the cerebellum in suprasecond interval timing (i.e., timing in the seconds to minutes range) is controversial. A limited amount of evidence from humans, nonhuman primates, and rodents has shown that the lateral cerebellum, including the lateral cerebellar nucleus (LCN), may be necessary for successful suprasecond timing performance. However, many existing studies have pitfalls, such as limited timing outcome measures and confounded task demands. In addition, many existing studies relied on well-trained subjects. This approach may be a drawback, as the cerebellum is hypothesized to carry out ongoing error correction to limit timing variability. By using only experienced subjects, past timing studies may have missed a critical window of cerebellar involvement. In the experiments described here, we pharmacologically inactivated the rat LCN across three different peak interval timing tasks. We structured our tasks to address past confounds, collect timing variability measures, and characterize performance during target duration acquisition. Across these various tasks, we did not find strong support for cerebellar involvement in suprasecond interval timing. Our findings support the existing distinction of the cerebellum as a subsecond interval timing brain region. (PsycInfo Database Record (c) 2022 APA, all rights reserved).Time is an integral part of all adaptive behavior; we continuously adapt to the dynamic structure of an ever-changing environment. Recent theoretical approaches have moved from the idea that time arises from specialized stopwatch-like mechanisms, instead proposing the view that time is inherently encoded in a host of neural dynamics. However, we argue that much of our theorizing is-even when an intrinsic view is proposed-still driven by the implicit assumption that clearly marked, isolated stopwatch-like intervals are the fundamental unit of time in our environment. This assumption ignores the challenges of interacting with an uncertain, ever-changing environment (a) Relevant intervals need to be distilled from a continuous stream of actions and events, and (b) time is never estimated for its own sake but instead used to adaptively tune cognition. We discuss an "intrinsic-adaptive" view that, in contrast to studying isolated stopwatch intervals, considers how organisms learn and adapt behavior to temporal structures from experience in natural worlds. (PsycInfo Database Record (c) 2022 APA, all rights reserved).The role of dopamine (DA) as a reward prediction error (RPE) signal in reinforcement learning (RL) tasks has been well-established over the past decades. Recent work has shown that the RPE interpretation can also account for the effects of DA on interval timing by controlling the speed of subjective time. According to this theory, the timing of the dopamine signal relative to reward delivery dictates whether subjective time speeds up or slows down Early DA signals speed up subjective time and late signals slow it down. To test this bidirectional prediction, we reanalyzed measurements of dopaminergic neurons in the substantia nigra pars compacta of mice performing a self-timed movement task. Using the slope of ramping dopamine activity as a readout of subjective time speed, we found that trial-by-trial changes in the slope could be predicted from the timing of dopamine activity on the previous trial. This result provides a key piece of evidence supporting a unified computational theory of RL and interval timing. (PsycInfo Database Record (c) 2022 APA, all rights reserved).This special issue provides a representative snapshot of cutting-edge behavioral neuroscience research on sense of time, cognitive and behavioral functioning, and neural processes. (PsycInfo Database Record (c) 2022 APA, all rights reserved).This article reviews the individual and organizational implications of gig work using the emerging psychological contract between gig workers and employing organizations as a lens. We first examine extant definitions of gig work and provide a conceptually clear definition. We then outline why both organizations and individuals may prefer gig work, offer an in-depth analysis of the ways in which the traditional psychological contract has been altered for both organizations and gig workers, and detail the impact of that new contract on gig workers. Specifically, organizations deconstruct jobs into standardized tasks and gig workers adapt by engaging in job crafting and work identity management. Second, organizational recruitment of gig workers alters the level and type of commitment gig workers feel toward an employing organization. Third, organizations use a variety of nontraditional practices to manage gig workers (e.g., including by digital algorithms) and gig workers adapt by balancing autonomy and dependence. Fourth, compensation tends to be project-based and typically lacks benefits, causing gig workers to learn to be a "jack-of-all-trades" and learn to deal with pay volatility. Fifth, organizational training of gig workers is limited, and they adapt by engaging in self-development. Sixth, gig workers develop alternative professional and social relationships to work in blended teams assembled by organizations and/or adapt to social isolation. Challenges associated with these practices and possible solutions are discussed, and we develop propositions for testing in future research. Finally, we highlight specific areas for further exploration in future research. (PsycInfo Database Record (c) 2022 APA, all rights reserved).Robots are transforming the nature of human work. Although human-robot collaborations can create new jobs and increase productivity, pundits often warn about how robots might replace humans at work and create mass unemployment. Despite these warnings, relatively little research has directly assessed how laypeople react to robots in the workplace. Drawing from cognitive appraisal theory of stress, we suggest that employees exposed to robots (either physically or psychologically) would report greater job insecurity. Six studies-including two pilot studies, an archival study across 185 U.S. metropolitan areas (Study 1), a preregistered experiment conducted in Singapore (Study 2), an experience-sampling study among engineers conducted in India (Study 3), and an online experiment (Study 4)-find that increased exposure to robots leads to increased job insecurity. Study 3 also reveals that this robot-related job insecurity is in turn positively associated with burnout and workplace incivility. Study 4 reveals that self-affirmation is a psychological intervention that might buffer the negative effects of robot-related job insecurity. Our findings hold across different cultures and industries, including industries not threatened by robots. (PsycInfo Database Record (c) 2022 APA, all rights reserved).Whereas scholars have identified individual antecedents of emerging as an informal leader among one's peers, our research seeks to understand how established informal leaders maintain their leadership status. Guided by principles from expectation states theory, we predict that being seen as an informal leader in a workgroup motivates other members to seek one out for work-related advice and, accordingly, facilitates the informal leader's engaging in upward voice directed toward the formal leader. Upward influence on behalf of the group may, in turn, reinforce leadership status among peers. Cross-lagged panel analysis of four-wave survey responses from 375 employees in 63 duty-free shops supported our hypotheses. Advice network centrality partially mediated the positive relationship between informal leadership and supervisor ratings of upward voice. The time-lagged effect of informal leadership on peer advice seeking was stronger among employees in a more central position of the friendship network. However, the theorized effect of upward voice on subsequent informal leadership received more limited support.
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