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While climate change has been shown to impact several life‐history traits of wild‐living animal populations, little is known about its effects on dispersal and connectivity. Here, we capitalize on the highly variable flooding regime of the Okavango Delta to investigate the impacts of changing environmental conditions on the dispersal and connectivity of the endangered African wild dog (Lycaon pictus). Based on remote sensed flood extents observed over 20 years, we derive two extreme flood scenarios: a minimum and a maximum flood extent, representative of very dry and very wet environmental periods. These conditions are akin to those anticipated under increased climatic variability, as it is expected under climate change. Using a movement model parameterized with GPS data from dispersing individuals, we simulate 12,000 individual dispersal trajectories across the ecosystem under both scenarios and investigate patterns of connectivity. Across the entire ecosystem, surface water coverage during maximum flood extent reduces dispersal success (i.e., the propensity of individuals to disperse between adjacent subpopulations) by 12% and increases dispersal durations by 17%. Locally, however, dispersal success diminishes by as much as 78%. Depending on the flood extent, alternative dispersal corridors emerge, some of which in the immediate vicinity of human‐dominated landscapes. Notably, under maximum flood extent, the number of dispersing trajectories moving into human‐dominated landscapes decreases by 41% at the Okavango Delta's inflow, but increases by 126% at the Delta's distal end. This may drive the amplification of human–wildlife conflict. While predicting the impacts of climate change on environmental conditions on the ground remains challenging, our results highlight that environmental change may have significant consequences for dispersal patterns and connectivity, and ultimately, population viability. Acknowledging and anticipating such impacts will be key to effective conservation strategies and to preserve vital dispersal corridors in light of climate change and other human‐related landscape alterations. [ABSTRACT FROM AUTHOR]

Populations of cortical neurons respond to common input within a millisecond. Morphological features and active ion channel properties were suggested to contribute to this astonishing processing speed. Here we report an exhaustive study of ultrafast population coding for varying axon initial segment (AIS) location, soma size, and axonal current properties. In particular, we studied their impact on two experimentally observed features 1) precise action potential timing, manifested in a wide-bandwidth dynamic gain, and 2) high-frequency boost under slowly fluctuating correlated input. While the density of axonal channels and their distance from the soma had a very small impact on bandwidth, it could be moderately improved by increasing soma size. When the voltage sensitivity of axonal currents was increased we observed ultrafast coding and high-frequency boost. We conclude that these computationally relevant features are strongly dependent on axonal ion channels' voltage sensitivity, but not their number or exact location. We point out that ion channel properties, unlike dendrite size, can undergo rapid physiological modification, suggesting that the temporal accuracy of neuronal population encoding could be dynamically regulated. Our results are in line with recent experimental findings in AIS pathologies and establish a framework to study structure-function relations in AIS molecular design. Author summary: In large nervous systems, a signal often diverges to hundreds or thousands of neurons. This population's spike rate can track changes in this common input for frequencies up to several hundred Hertz. This ultra-fast population response is experimentally well established and critically impacts cortical information processing. Its underlying biophysical determinants, however, are not understood. Experiments suggest that the ion channels at the axon initial segment strongly contribute to the ultra-fast response, but recent theoretical studies emphasize the importance of neuron morphology and the resulting resistive coupling between axon and somato-dendritic compartments. We provide an exhaustive analysis of the population response of a simplified multi-compartment model. We vary the axo-somatic interaction and also active axonal properties and compare models at equivalent working points, avoiding bias. This approach provides a guideline for future experimental and theoretical studies. In this framework, the population response is closely associated with the AP generation speed at the AP initiation site, which is mostly determined by axonal ion channel voltage sensitivity. The resistive axo-somatic coupling has an additional modulatory influence. These insights are expected to hold for encoding mechanisms of more sophisticated models, suggesting that physiological changes to axonal ion channels could modulate the population response rapidly. [ABSTRACT FROM AUTHOR]

The study of Canadian right-wing extremism from a security context is in its infancy, with only a handful of empirical and theoretical studies emerging on the topic within the last decade. With the increase of right-wing extremism violence in Canada such as the 2014 Moncton shooting and the 2017 Quebec City mosque attack, there is a pressing need to better understand the breadth, depth, and extent of Canadian right-wing extremism. The current paper presents the preliminary findings from a larger cross-Canadian research project on right-wing extremism and focuses exclusively on Atlantic Canada (New Brunswick, Nova Scotia, Newfoundland & Labrador, and Prince Edward Island). A comprehensive scoping of open-source documents of right-wing extremist incidents in Atlantic Canada from January 2000 to December 2019 and their related attributes were compiled into a dataset, and then used to explore the distribution, breadth, type, and extent of right-wing extremist activity in the Maritime provinces. Given the focus of previous research upon urban aspects of Canadian right-wing extremism, and that Atlantic Canada is more rural in comparison to the rest of Canada, the breakdown of occurrences of different types of right-wing extremist activities based upon rurality are also examined. [ABSTRACT FROM AUTHOR]

Conserving and managing large portions of land to connect wildlife reserves is an increasingly used strategy to maintain and restore connectivity among wildlife populations. Boundaries of such conservation areas are often determined based on expert opinion and socio‐political constraints, yet the extent to which they match species' movement corridors is rarely examined. This is mainly due to a lack of data, particularly on wide‐ranging movement behaviour such as dispersal. Nevertheless, empirically assessing the adequacy of protected areas is key for the implementation of targeted management actions and efficient use of limited conservation funds.Between 2011 and 2019, we collected high‐resolution GPS data on 16 dispersing African wild dog Lycaon pictus coalitions from a free‐ranging population in the Kavango–Zambezi Transfrontier Conservation Area (KAZA‐TFCA). Spanning five countries and 520,000 km2, the KAZA‐TFCA is the world's largest transboundary conservation area and a prime example for international conservation efforts. We used integrated step selection analysis to estimate habitat selection of dispersers and to create a permeability surface for the KAZA‐TFCA. We compared landscape permeability across different regions within the KAZA‐TFCA as well as outside its boundaries. Lastly, we calculated least‐cost paths and corridors to verify that major movement routes were adequately encompassed within the KAZA‐TFCA.Permeability within the boundaries of the KAZA‐TFCA was more than double compared to areas outside it. Furthermore, we observed a fivefold permeability difference among the five KAZA‐TFCA countries. We also showed that major movement corridors of wild dogs ran within the KAZA‐TFCA, although some minor routes remained formally unprotected.Differences in permeability were mainly related to different degrees of human activities across regions, and to the presence or absence of rivers, swamps and open water. The relationship between permeability and other landscape features was less pronounced.Synthesis and applications. In this study, we showed how pertinent dispersal data of a highly mobile species can be used to empirically evaluate the adequacy of already existing or planned protected areas. Furthermore, we observed regional differences in landscape permeability that highlight the need for a coordinated effort towards maintaining or restoring connectivity, especially where transboundary dispersal occurs. [ABSTRACT FROM AUTHOR]

Biochemical processes in cells are governed by complex networks of many chemical species interacting stochastically in diverse ways and on different time scales. Constructing microscopically accurate models of such networks is often infeasible. Instead, here we propose a systematic framework for building phenomenological models of such networks from experimental data, focusing on accurately approximating the time it takes to complete the process, the First Passage (FP) time. Our phenomenological models are mixtures of Gamma distributions, which have a natural biophysical interpretation. The complexity of the models is adapted automatically to account for the amount of available data and its temporal resolution. The framework can be used for predicting behavior of FP systems under varying external conditions. To demonstrate the utility of the approach, we build models for the distribution of inter-spike intervals of a morphologically complex neuron, a Purkinje cell, from experimental and simulated data. We demonstrate that the developed models can not only fit the data, but also make nontrivial predictions. We demonstrate that our coarse-grained models provide constraints on more mechanistically accurate models of the involved phenomena. Author summary: Building microscopically accurate models of biological processes that offer meaningful information about the behavior of these systems is a hard task that requires a lot of prior knowledge and experimental data that are not available most of the time. Here instead we propose a mathematical framework to infer phenomenological models of biochemical systems, focusing on approximating the probability distribution of time it takes to complete the process. We apply the method to study statistical properties of spiking in morphologically complex neurons, Purkinje cells, and make nontrivial predictions about this system. [ABSTRACT FROM AUTHOR]

In a previous study, we investigated the resting‐state fMRI effective connectivity (EC) between the bed nucleus of the stria terminalis (BNST) and the laterobasal (LB), centromedial (CM), and superficial (SF) amygdala. We found strong negative EC from all amygdala nuclei to the BNST, while the BNST showed positive EC to the amygdala. However, the validity of these findings remains unclear, since a reproduction in different samples has not been done. Moreover, the association of EC with measures of anxiety offers deeper insight, due to the known role of the BNST and amygdala in fear and anxiety. Here, we aimed to reproduce our previous results in three additional samples. We used spectral Dynamic Causal Modeling to estimate the EC between the BNST, the LB, CM, and SF, and its association with two measures of self‐reported anxiety. Our results revealed consistency over samples with regard to the negative EC from the amygdala nuclei to the BNST, while the positive EC from BNST to the amygdala was also found, but weaker and more heterogenic. Moreover, we found the BNST‐BNST EC showing a positive and the CM‐BNST EC, showing a negative association with anxiety. Our study suggests a reproducible pattern of negative EC from the amygdala to the BNST along with weaker positive EC from the BNST to the amygdala. Moreover, less BNST self‐inhibition and more inhibitory influence from the CM to the BNST seems to be a pattern of EC that is related to higher anxiety. [ABSTRACT FROM AUTHOR]

Conventional knowledge and early academic work on lone-actor terrorists has popularized the concept that they radicalize, operate, plan, and execute plots in relative anonymity, with little connection to formal or more organized terrorist groups and networks. However, recent scholarship has increasingly challenged the notion of the "loneliness" of lone-actors. In order to further empirically test this notion, this article uses social network analysis to examine the ideological, signaling, and support networks of two case studies of lone-actors during the twenty-four months prior to the commission of their first act of terrorist violence. [ABSTRACT FROM AUTHOR]

The bed nucleus of the stria terminalis (BNST) and the laterobasal nucleus (LB), centromedial nucleus (CM), and superficial nucleus (SF) of the amygdala form an interconnected dynamical system, whose combined activity mediates a variety of behavioral and autonomic responses in reaction to homeostatic challenges. Although previous research provided deeper insight into the structural and functional connections between these nuclei, studies investigating their resting‐state functional magnetic resonance imaging (fMRI) connectivity were solely based on undirected connectivity measures. Here, we used high‐quality data of 391 subjects from the Human Connectome Project to estimate the effective connectivity (EC) between the BNST, the LB, CM, and SF through spectral dynamic causal modeling, the relation of the EC estimates with age and sex as well as their stability over time. Our results reveal a time‐stable asymmetric EC structure with positive EC between all amygdala nuclei, which strongly inhibited the BNST while the BNST exerted positive influence onto all amygdala nuclei. Simulation of the impulse response of the estimated system showed that this EC structure shapes partially antagonistic (out of phase) activity flow between the BNST and amygdala nuclei. Moreover, the BNST‐LB and BNST‐CM EC parameters were less negative in males. In conclusion, our data points toward partially separated information processing between BNST and amygdala nuclei in the resting‐state. [ABSTRACT FROM AUTHOR]

Traditional theories of sensorimotor learning posit that animals use sensory error signals to find the optimal motor command in the face of Gaussian sensory and motor noise. However, most such theories cannot explain common behavioral observations, for example, that smaller sensory errors are more readily corrected than larger errors and large abrupt (but not gradually introduced) errors lead to weak learning. Here, we propose a theory of sensorimotor learning that explains these observations. The theory posits that the animal controls an entire probability distribution of motor commands rather than trying to produce a single optimal command and that learning arises via Bayesian inference when new sensory information becomes available. We test this theory using data from a songbird, the Bengalese finch, that is adapting the pitch (fundamental frequency) of its song following perturbations of auditory feedback using miniature headphones. We observe the distribution of the sung pitches to have long, non-Gaussian tails, which, within our theory, explains the observed dynamics of learning. Further, the theory makes surprising predictions about the dynamics of the shape of the pitch distribution, which we confirm experimentally. [ABSTRACT FROM AUTHOR]

Previous studies have reported cerebellar activations during error and reward processing. The present study investigated if the cerebellum differentially processes feedback depending on changes in response strategy during reversal learning, as is conceivable given its internal models for movement and thought. Negative relative to positive feedback in an fMRI-based reversal learning task was hypothesized to be associated with increased cerebellar activations. Moreover, increased activations were expected for negative feedback followed by a change in response strategy compared to negative feedback not followed by such a change, and for first positive feedback after compared to final negative feedback before a change, due to updating of internal models. As predicted, activation in lobules VI and VIIa/Crus I was increased for negative relative to positive feedback, and for final negative feedback before a change in response strategy relative to negative feedback not associated with a change. Moreover, activation was increased for first positive feedback after relative to final negative feedback before a change. These findings are consistent with updating of cerebellar internal models to accommodate new behavioral strategies. Recruitment of posterior regions in reversal learning is in line with the cerebellar functional topography, with posterior regions involved in complex motor and cognitive functions. [ABSTRACT FROM AUTHOR]

In the past four decades, there has been increased multidisciplinary scholarly interest in the study of charismatic authority. However, there has yet to be any systematic examination of charismatic authority in the context of terrorism, despite widespread acknowledgment of the importance of charismatic leaders in the recruitment, radicalization, and operation of terrorist groups. This article seeks to contribute to future empirical research by presenting a theoretical framework for measuring the presence of charismatic authority in terrorist groups that is based on Max Weber's seminal work on legitimate domination(herrschaft)and on theoretical insights drawn from the study of charismatic authority in new religious movements. The framework is then applied to an illustrative case study of the relationship between charismatic authority and the radicalization process within the far-right terrorist group “the Covenant, the Sword, and the Arm of the Lord.” The article concludes with a discussion of findings and suggestions for future research. [ABSTRACT FROM PUBLISHER]

Effective leadership is a crucial component in organisational success. This also applies to criminal networks that have the added challenge of operating in a high-risk hostile environment. While criminal networks commonly employ communicative and structural practices meant to buffer leadership from exogenous threats, there has been little empirical examination as to their effectiveness. In this article, we review the research literature on the various approaches that profit-oriented illicit networks employ to protect their leaders. We then present sociometric and qualitative data from a previously unexamined drug-trafficking network (the Prada cocaine-trafficking network) as a case study on leadership protection tactics employed by illicit entrepreneurial networks. Results of our analysis are discussed in the conclusion, along with study limitations and areas for future research. [ABSTRACT FROM PUBLISHER]

Recent scholarship has called for additional research into the role of charismatic authority in terrorist groups and the process of radicalization. However, the sociological concepts of charisma and charismatic authority are being widely misused in terrorism studies. Current radicalization research often indirectly flirts with core concepts of charismatic authority, but fails to properly tap into its analytical utility. This article proposes to begin addressing this gap in knowledge in three ways, with: (1) a synthesis of social scientific research on charismatic authority, (2) a critical analysis of how charismatic authority is being misused and overlooked in the terrorist radicalization literature, and (3) an exploration of challenges and opportunities for future research concerning charismatic authority and terrorist radicalization. [ABSTRACT FROM AUTHOR]

Diseases often spread in hospitals because health care professionals fail to wash their hands. Research suggests that to increase health and safety behaviors, it is important to highlight the personal consequences for the actor. However, because people (and health care professionals in particular) tend to be overconfident about personal immunity, the most effective messages about hand hygiene may be those that highlight its consequences for other people. In two field experiments in a hospital, we compared the effectiveness of signs about hand hygiene that emphasized personal safety (“Hand hygiene prevents you from catching diseases”) or patient safety (“Hand hygiene prevents patients from catching diseases”). We assessed hand hygiene by measuring the amount of soap and hand-sanitizing gel used from dispensers (Experiment 1) and conducting covert, independent observations of health care professionals’ hand-hygiene behaviors (Experiment 2). Results showed that changing a single word in messages motivated meaningful changes in behavior: The hand hygiene of health care professionals increased significantly when they were reminded of the implications for patients but not when they were reminded of the implications for themselves. [ABSTRACT FROM PUBLISHER]

A significant body of research has documented two achievement goal orientations that individuals can adopt prior to performing a particular task. These orientations have typically been referred to as "task-oriented" or "ego-oriented," each of which has different implications for task performance and related perceptions. The majority of this research has considered individuals either task- or ego-oriented. There is initial evidence, however, that the two goal orientations may be independent and, therefore, that they may interact to predict various outcomes. The central finding of this study was that task- and ego-orientations did interact to influence task satisfaction and performance. Specifically, high task satisfaction was reported by individuals who had at least a moderately high degree of task orientation irrespective of the level of ego orientation. Alternatively, the most effective performance was observed for individuals who had a dominant achievement goal orientation, regardless of whether it was a task- or ego-orientation. The implications of these findings are discussed. [ABSTRACT FROM AUTHOR]

The article investigates the relationship between performance goal orientation and performance on a complex task. It was hypothesized that cognitive interference would mediate this relationship, in addition, it was hypothesized that cognitive ability would moderate the relationship between cognitive interference and task performance. A three-variable suppressor relationship indicated that, although the direct effect of performance goal orientation on performance was one that produced better performance, the indirect effect of performance goal orientation indicated that performance orientations were associated with increases in cognitive interference, and these increases in cognitive interference were associated with poorer performance. Individuals who adopt a learning goal orientation have, as their main objective, task mastery. In other words, they want to learn and master the task for learning's sake. Alternatively, individuals who adopt a performance goal orientation want to demonstrate their competence to others. Their main objective is to show others that they are competent; that is, they often adopt an external referent of comparison.

Examines the relationship between job seniority and job performance. Impact of job seniority on the proficiency of employees; Superiority of employees working in a long period of time; Performance of senior employees.

Describes a survey designed to assess both teacher perceptions and affective reactions to the work environment. Confirmatory factor analyses of the survey; Implications of the survey findings; Initial measurement model.

In the past decade, the broadcast-spray application of antibiotics in US crops has increased exponentially in response to bacterial crop pathogens, but little is known about the sublethal impacts on beneficial organisms in agroecosystems. This is concerning given the key roles that microbes play in modulating insect fitness. A growing body of evidence suggests that insect gut microbiomes may play a role in learning and behaviour, which are key for the survival of pollinators and for their pollination efficacy, and which in turn could be disrupted by dietary antibiotic exposure. In the laboratory, we tested the effects of an upper-limit dietary exposure to streptomycin (200 ppm)—an antibiotic widely used to treat bacterial pathogens in crops— on bumblebee (Bombus impatiens) associative learning, foraging and stimulus avoidance behaviour.We used two operant conditioning assays: a free movement proboscis extension reflex protocol focused on short-term memory formation, and an automated radio-frequency identification tracking system focused on foraging. We show that upper-limit dietary streptomycin exposure slowed training, decreased foraging choice accuracy, increased avoidance behaviour and was associated with reduced foraging on sucroserewarding artificial flowers flowers. Thiswork underscores the need to further study the impacts of antibiotic use on beneficial insects in agricultural systems. [ABSTRACT FROM AUTHOR]

Carbon dioxide is increasing in the atmosphere and is of considerable concern in global climate change because of its greenhouse gas warming potential. The rate of increase has accelerated since measurements began at Mauna Loa Observatory in 1958 where carbon dioxide increased from less than 1 part per million per year (ppmyr−1) prior to 1970 to more than 2ppmyr−1 in recent years. Here we show that the anthropogenic component (atmospheric value reduced by the pre-industrial value of 280ppm) of atmospheric carbon dioxide has been increasing exponentially with a doubling time of about 30 years since the beginning of the industrial revolution (∼1800). Even during the 1970s, when fossil fuel emissions dropped sharply in response to the “oil crisis” of 1973, the anthropogenic atmospheric carbon dioxide level continued increasing exponentially at Mauna Loa Observatory. Since the growth rate (time derivative) of an exponential has the same characteristic lifetime as the function itself, the carbon dioxide growth rate is also doubling at the same rate. This explains the observation that the linear growth rate of carbon dioxide has more than doubled in the past 40 years. The accelerating growth rate is simply the outcome of exponential growth in carbon dioxide with a nearly constant doubling time of about 30 years (about 2%/yr) and appears to have tracked human population since the pre-industrial era. [Copyright &y& Elsevier]

Understanding dispersal patterns and demographic processes is crucial for the development of evidence-based conservation practices. Obtaining such information relies on the ability to identify and track individuals across spatial and temporal scales relevant to the life-history events under investigation. This knowledge can be achieved by combining photographic and sighting data collected by various sources with a high accuracy automated individual identification platform. Here, we present the African Carnivore Wildbook (ACW), an AI-based graphical user interface tool capable of identifying individuals of several African carnivore species and specifically developed to accommodate the above outlined needs. We showcase the ACW functionality using the endangered African wild dog as an example. Pictures collected over an area >56,000 km² and submitted to ACW allowed inferences on movement patterns and dispersal at regional and international scales; for instance, transboundary dispersal events >200 km were documented. ACW furthermore enabled monitoring some individuals for >4 years; such information is invaluable for reliable survival analyses. We discuss how the ACW can contribute to data collection at appropriate spatial and temporal scales to support population monitoring, scientific research and management of African wild dogs and other apex carnivores and to the conservation of these charismatic species. [ABSTRACT FROM AUTHOR]

An abstract of the article "How do channel densities and various time constants affect the dynamic gain of a detailed model of a pyramidal neuron?" by David Hofmann and colleagues is presented.

Background: Posttraumatic stress disorder (PTSD) is associated with markers of accelerated aging. Estimates of brain age, compared to chronological age, may clarify the effects of PTSD on the brain and may inform treatment approaches targeting the neurobiology of aging in the context of PTSD. Method: Adult subjects (N = 2229; 56.2% male) aged 18–69 years (mean = 35.6, SD = 11.0) from 21 ENIGMA‐PGC PTSD sites underwent T1‐weighted brain structural magnetic resonance imaging, and PTSD assessment (PTSD+, n = 884). Previously trained voxel‐wise (brainageR) and region‐of‐interest (BARACUS and PHOTON) machine learning pipelines were compared in a subset of control subjects (n = 386). Linear mixed effects models were conducted in the full sample (those with and without PTSD) to examine the effect of PTSD on brain predicted age difference (brain PAD; brain age − chronological age) controlling for chronological age, sex, and scan site. Results: BrainageR most accurately predicted brain age in a subset (n = 386) of controls (brainageR: ICC = 0.71, R = 0.72, MAE = 5.68; PHOTON: ICC = 0.61, R = 0.62, MAE = 6.37; BARACUS: ICC = 0.47, R = 0.64, MAE = 8.80). Using brainageR, a three‐way interaction revealed that young males with PTSD exhibited higher brain PAD relative to male controls in young and old age groups; old males with PTSD exhibited lower brain PAD compared to male controls of all ages. Discussion: Differential impact of PTSD on brain PAD in younger versus older males may indicate a critical window when PTSD impacts brain aging, followed by age‐related brain changes that are consonant with individuals without PTSD. Future longitudinal research is warranted to understand how PTSD impacts brain aging across the lifespan. [ABSTRACT FROM AUTHOR]

Current theories of visual consciousness disagree about whether it emerges during early stages of processing in sensory brain regions or later when a widespread frontoparietal network becomes involved. Moreover, disentangling conscious perception from task-related postperceptual processes (e.g., report) and integrating results across different neuroscientific methods remain ongoing challenges. The present study addressed these problems using simultaneous EEG-fMRI and a specific inattentional blindness paradigm with three physically identical phases in female and male human participants. In phase 1, participants performed a distractor task during which line drawings of faces and control stimuli were presented centrally. While some participants spontaneously noticed the faces in phase 1, others remained inattentionally blind. In phase 2, all participants were made aware of the task-irrelevant faces but continued the distractor task. In phase 3, the faces became taskrelevant. Bayesian analysis of brain responses demonstrated that conscious face perception was most strongly associated with activation in fusiform gyrus (fMRI) as well as the N170 and visual awareness negativity (EEG). Smaller awareness effects were revealed in the occipital and prefrontal cortex (fMRI). Task-relevant face processing, on the other hand, led to strong, extensive activation of occipitotemporal, frontoparietal, and attentional networks (fMRI). In EEG, it enhanced early negativities and elicited a pronounced P3b component. Overall, we provide evidence that conscious visual perception is linked with early processing in stimulus-specific sensory brain areas but may additionally involve prefrontal cortex. In contrast, the strong activation of widespread brain networks and the P3b are more likely associated with task-related processes. [ABSTRACT FROM AUTHOR]

The current research examines the judgment processes of third-party evaluators of sexual harassment situations. Four situational variables were hypothesized to influence ratings of situation appropriateness and judgments of sexual harassment. The evaluator's gender and personality also were hypothesized to influence both ratings. Participants were 73 male and 51 female undergraduate students. Results indicated that behavior severity and victim response significantly influenced ratings. The frequency of the behavior influenced appropriateness ratings, but interacted with behavior severity for harassment judgments. The effects of the gender of the evaluator were mediated by the evaluator's level of tolerance for harassment. The effects of the power relationship and rater personality were not significant. [ABSTRACT FROM AUTHOR]

The spatio-temporal neural basis of earliest differentiation between emotional and neutral facial expressions is a matter of debate. The present study used concurrent electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) in order to investigate the ‘when’ and ‘where’ of earliest prioritization of emotional over neutral expressions. We measured event-related potentials (ERPs) and blood oxygen dependent (BOLD) signal changes in response to facial expressions of varying emotional intensity and different valence categories. Facial expressions were presented superimposed by two horizontal bars and participants engaged in a focal bars task (low load, high load), in order to manipulate the availability of attentional resources during face perception. EEG data revealed the earliest expression effects in the P1 range (76–128 ms) as a parametric function of stimulus arousal independent of load conditions. Conventional fMRI data analysis also demonstrated significant modulations as a function of stimulus arousal, independent of load, in amygdala, superior temporal sulcus, fusiform gyrus and lateral occipital cortex. Correspondingly, EEG-informed fMRI analysis revealed a significant positive correlation between single-trial P1 amplitudes and BOLD responses in amygdala and lateral posterior occipital cortex. Our results are in line with the hypothesis of the amygdala as fast responding relevance detector and corresponding effects in early visual face processing areas across facial expressions and load conditions. [ABSTRACT FROM AUTHOR]

An influential framework suggests that the central nucleus of the amygdala (CeA) is involved in phasic responses to threat, while the bed nucleus of the stria terminalis (BNST) mediates sustained anxiety. However, this model has been questioned, proposing that the role of the BNST is not limited to sustained threat contexts. Rather, amygdala and BNST also seem to work in concert in the processing of discrete and briefly presented threat-related stimuli, likely dependent on inter-individual differences in anxiety. A direct test of this assumption with sufficient experimental power is missing in human research and the degree to which individual differences in trait anxiety moderate phasic responses and functional connectivity of amygdala and BNST during threat processing remains unclear. The current event-related functional magnetic resonance imaging (fMRI) study investigated activation and connectivity of amygdala and BNST, as well as modulating effects of trait anxiety, during processing of briefly presented threat - related relative to neutral standardized pictures in 93 psychiatrically healthy individuals. Both amygdala and BNST activation was increased during presentation of threat - related relative to neutral pictures. Furthermore, functional connectivity between BNST and amygdala in response to threat was positively associated with trait anxiety. These findings suggest that amygdala and BNST form a functional unit during phasic threat processing whereby their connectivity is shaped by inter-individual differences in trait anxiety. [ABSTRACT FROM AUTHOR]

■ Both adaptation and prediction error play a role during deviance processing. ■ We measured BOLD activity during an auditory oddball and control sequence. ■ Prediction error increases and adaptation decreases with higher level within the cortical hierarchy. ■ Results underline the hierarchical organization of the predictive brain. Neural mismatch responses have been proposed to rely on different mechanisms, including prediction error-related activity and adaptation to frequent stimuli. However, the hierarchical cortical structure of these mechanisms is unknown. To investigate this question, we recorded hemodynamic responses while participants (N = 54) listened to an auditory oddball sequence as well as a suited control condition. In addition to effects in sensory processing areas (Heschl's gyrus, superior temporal gyrus (STG)), we found several distinct clusters that indexed deviance processing in frontal and parietal regions (anterior cingulate cortex/supplementary motor area (ACC/SMA), inferior parietal lobule (IPL), anterior insula (AI), inferior frontal junction (IFJ)). Comparing responses to the control stimulus with the deviant and standard enabled us to delineate the contributions of prediction error- or adaptation-related brain activation, respectively. We observed significant effects of adaptation in Heschl's gyrus, STG and ACC/SMA, while prediction error-related activity was observed in STG, IPL, AI and IFJ. Additional dynamic causal modeling confirmed the superiority of a hierarchical processing structure compared to a flat structure. Thus, we found that while prediction-error related processes increased with the hierarchical level of the brain area, adaptation declined. This suggests that the relative contribution of different mechanisms in deviance processing varies across the cortical hierarchy. [ABSTRACT FROM AUTHOR]

Background The failure rates for implementing complex innovations in healthcare organizations are high. Estimates range from 30% to 90% depending on the scope of the organizational change involved, the definition of failure, and the criteria to judge it. The innovation implementation framework offers a promising approach to examine the organizational factors that determine effective implementation. To date, the utility of this framework in a healthcare setting has been limited to qualitative studies and/or group level analyses. Therefore, the goal of this study was to quantitatively examine this framework among individual participants in the National Cancer Institute's Community Clinical Oncology Program using structural equation modeling. Methods We examined the innovation implementation framework using structural equation modeling (SEM) among 481 physician participants in the National Cancer Institute's Community Clinical Oncology Program (CCOP). The data sources included the CCOP Annual Progress Reports, surveys of CCOP physician participants and administrators, and the American Medical Association Physician Masterfile. Results Overall the final model fit well. Our results demonstrated that not only did perceptions of implementation climate have a statistically significant direct effect on implementation effectiveness, but physicians' perceptions of implementation climate also mediated the relationship between organizational implementation policies and practices (IPP) and enrollment (p <0.05). In addition, physician factors such as CCOP PI status, age, radiological oncologists, and non-oncologist specialists significantly influenced enrollment as well as CCOP organizational size and structure, which had indirect effects on implementation effectiveness through IPP and implementation climate Conclusions Overall, our results quantitatively confirmed the main relationship postulated in the innovation implementation framework between IPP, implementation climate, and implementation effectiveness among individual physicians. This finding is important, as although the model has been discussed within healthcare organizations before, the studies have been predominately qualitative in nature and/or at the organizational level. In addition, our findings have practical applications. Managers looking to increase implementation effectiveness of an innovation should focus on creating an environment that physicians perceive as encouraging implementation. In addition, managers should consider instituting specific organizational IPP aimed at increasing positive perceptions of implementation climate. For example, IPP should include specific expectations, support, and rewards for innovation use. [ABSTRACT FROM AUTHOR]

Abstract: Problem: Hospital nurses have one of the highest work-related injury rates in the United States. Yet, approaches to improving employee safety have generally focused on attempts to modify individual behavior through enforced compliance with safety rules and mandatory participation in safety training. We examined a theoretical model that investigated the impact on nurse injuries (back injuries and needlesticks) of critical structural variables (staffing adequacy, work engagement, and work conditions) and further tested whether safety climate moderated these effects. Method: A longitudinal, non-experimental, organizational study, conducted in 281 medical–surgical units in 143 general acute care hospitals in the United States. Results: Work engagement and work conditions were positively related to safety climate, but not directly to nurse back injuries or needlesticks. Safety climate moderated the relationship between work engagement and needlesticks, while safety climate moderated the effect of work conditions on both needlesticks and back injuries, although in unexpected ways. Discussion and Impact on Industry: Our findings suggest that positive work engagement and work conditions contribute to enhanced safety climate and can reduce nurse injuries. [Copyright &y& Elsevier]

Despite considerable effort, the neural correlates of altered threat-related processing in panic disorder (PD) remain inconclusive. Mental imagery of disorder-specific situations proved to be a powerful tool to investigate dysfunctional threat processing in anxiety disorders. The current functional magnetic resonance imaging (fMRI) study aimed at investigating brain activation in PD patients during disorder-related script-driven imagery. Seventeen PD patients and seventeen healthy controls (HC) were exposed to newly developed disorder-related and neutral narrative scripts while brain activation was measured with fMRI. Participants were encouraged to imagine the narrative scripts as vividly as possible and they rated their script-induced emotional states after the scanning session. PD patients rated disorder-related scripts as more arousing, unpleasant and anxiety-inducing as compared to HC. Patients relative to HC showed elevated activity in the right amygdala and the brainstem as well as decreased activity in the rostral anterior cingulate cortex, and the medial and lateral prefrontal cortex to disorder-related vs. neutral scripts. The results suggest altered amygdala/ brainstem and prefrontal cortex engagement and point towards the recruitment of brain networks with opposed activation patterns in PD patients during script-driven imagery. [ABSTRACT FROM AUTHOR]