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Objective: Overservice (i.e., venues serving alcohol to intoxicated drinkers) is a major contributor to alcohol-related harm. This article estimates the proportion of all alcohol sold in on-trade p...

Zemblys et al. (Behavior Research Methods, 51(2), 840-864, 2019) reported on a method for the classification of eye-movements ("gazeNet"). I have found three errors and two problems with that paper that are explained herein. Error 1: The gazeNet classification method was built assuming that a hand-scored dataset from Lund University was all collected at 500 Hz, but in fact, six of the 34 recording files were actually collected at 200 Hz. Of the six datasets that were used as the training set for the gazeNet algorithm, two were actually collected at 200 Hz. Problem 1 has to do with the fact that even among the 500 Hz data, the inter-timestamp intervals varied widely. Problem 2 is that there are many unusual discontinuities in the saccade trajectories from the Lund University dataset that make it a very poor choice for the construction of an automatic classification method. Error 2 The gazeNet algorithm was trained on the Lund dataset, and then compared to other methods, not trained on this dataset, in terms of performance on this dataset. This is an inherently unfair comparison, and yet nowhere in the gazeNet paper is this unfairness mentioned. Error 3 arises out of the novel event-related agreement analysis employed by the gazeNet authors. Although the authors intended to classify unmatched events as either false positives or false negatives, many are actually being classified as true negatives. True negatives are not errors, and any unmatched event misclassified as a true negative is actually driving kappa higher, whereas unmatched events should be driving kappa lower.

Objective: Most studies on agreeing to unwanted sex have assessed sexual encounters between people who have had sex before. Thus, we examined instances of sexual compliance with a novel sexual part...

The occurrence of sexual behavior that poses heightened risk for negative outcomes (e.g., condomless sex, sex with new or unfamiliar partners) often involves drinking alcohol for social and enhancement purposes, with female college students being particularly at-risk for resulting consequences. This study examined whether alcohol use, drinking motives, and sex-related impelling cues (i.e., cues that may impel one toward engaging in sexual activity) could predict sexual behaviors that pose heightened risk for negative consequences among female undergraduates. A total of 251 drinking episodes from 56 female college students (M age = 19.66) were obtained via surveys assessing alcohol use, drinking motives, sex-related impelling cues, and sexual behaviors at the event level. Relationships between variables were examined via main effect and factorial generalized estimating equations for social, enhancement, coping, and conformity drinking motives. In each main effects model, sex-related impelling cues were the only significant predictor. Significant three-way interactions were found in the social and enhancement factorial models, such that sexual behaviors that pose heightened risk for negative consequences occurred 58.81% and 55.81% of the time, respectively, under conditions of high drinks, motives, and sex-related impelling cues. This study provides a more nuanced understanding of the circumstances under which these sexual behaviors are most likely to occur, necessitating the consideration of sex-related impelling cues in addition to previously known predictors (i.e., alcohol use and drinking motives). This knowledge may assist in developing targeted interventions designed to reduce sexual behavior that poses heightened risk for negative consequences and ultimately improve the lives of college women. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

INTRODUCTION. Previous studies have demonstrated relationships between social and environmental characteristics of the drinking context and alcohol use. However, the use of event-level data to investigate individual and joint relationships between such characteristics and alcohol use remains a gap in the literature. This study aimed to examine associations between drinking context (location and social group size) and alcohol consumption, and estimate the relationship between the interaction of context and alcohol consumption. METHODS. Using an Internet-based cellphone-optimised assessment technique, 183 Swiss young adults (mean: 23 years; range: 17–37 years) completed hourly assessments from 8 pm to midnight Thursday through Saturday for five consecutive weeks. Participants contributed 3454 hourly questionnaires. The number of drinks, the number of friends present and location (off-premise–home, outdoors; on-premise–bars, restaurants) were assessed based on the previous hour. Multilevel mixed-effects models were used to assess the relationships of interest. RESULTS. Being off-premise compared to on-premise was associated with fewer hourly drinks consumed (b = −0.44, P < 0.001). Greater numbers of friends present were associated with more drinks consumed (b = 0.02, P < 0.001). The association between number of friends and number of drinks consumed was significantly stronger for off-premise compared to on-premise locations (b = 0.03, P < 0.001). DISCUSSION AND CONCLUSIONS. Compared to off-premise locations, on-premise locations are associated with more hourly drinks consumed. However, the positive relationship between social group size and drinks consumed is significantly stronger for off-premise locations compared to on-premise locations. Findings have implications for tailored interventions focused on reducing alcohol consumption by young adults.

Youth experiencing homelessness have been shown to experience high levels of both trauma and substance use. However, prior work has yet to consider how substance use, posttraumatic stress disorder (PTSD) symptoms, and homelessness are temporally, or reciprocally, associated over time. The current study uses symptom-driven and experience-driven models to examine the reciprocal relationships between substance use, PTSD symptoms, and homelessness among a large sample of adolescents receiving substance use treatment in the United States. Adolescents (n = 20,069; Mage = 15.6; 74% male) completed baseline, 3-, 6-, and 12-month assessments. Autoregressive latent trajectory with structured residual (ALT-SR) models were used to examine within- and between-person relationships. We found continued support for prior work at the between-person level of analysis. At the within-person level, during the treatment phase, PTSD emerged as a key mechanism predicting both return to use and increased days of homelessness posttreatment. Further, greater substance use at treatment completion was associated with greater PTSD symptoms and homelessness, prospectively. The current study extends the previous work to consider individual level processes in conjunction with overarching event level predictors of homelessness. We found that PTSD symptomology is a driving factor that influences, both directly and indirectly, experiences of homelessness posttreatment. Interventions may wish to incorporate trauma informed approaches for youth entering treatment as this may mitigate long-term experiences of homelessness and return to substance use. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Burgeoning research suggests that men engage in a variety of coercive and non-coercive tactics to avoid condom use (condom use resistance; CUR), suggesting a risk nexus regarding sexual risk and sexual aggression (SA). Laboratory-based research has found that acute alcohol intoxication is associated with CUR; however, no study has examined event-level associations among alcohol consumption, SA history, and CUR or the moderating effects of trait anger. Non-problem drinking young adult men who have sex with women (N = 430) completed a background survey and follow-up assessments regarding their sex events and alcohol consumption over three months. CUR was reported in 113 sex events; 6.2% of these involved SA and 40.7% involved alcohol consumption. Generalized estimating equations demonstrated that men with more severe SA histories were more likely to perpetrate CUR. Men lower in trait anger were more likely to perpetrate CUR the more they increased above their typical level of alcohol consumption, whereas men higher in trait anger were similarly likely to perpetrate CUR regardless of their alcohol consumption. Results suggest that men with greater SA histories and high trait anger are at increased risk of perpetrating CUR, and that risk of CUR increases among other men the more they increase their alcohol consumption beyond their average.

Objective: The study goal was to test whether induced stress during driving could be measured at the event level through electrodermal activity responses. Background: Stress measured in simulation scenarios could thus far show an overall change in the stress state, but not be well attributed to acute stressful events. Driving simulator scenarios that induce stress measurable at the event level in realistic situations are thus warranted. As such, acute stress reactions can be measured in the context of changing situational factors such as fatigue, substance abuse, or medical conditions. Method: Twelve healthy female participants drove the same route numerous times in a driving simulator, each time with different random traffic events occurring throughout. During one of the scenarios, unknown to the participants, 10 programmed neutral traffic events occurred, whereas in another scenario, at the same location, 10 stressful events occurred. Results: Electrodermal response results showed both effects of scenario type and of events. The amplitude of the electrodermal response was significantly correlated with subjective stress experience. Conclusion: We conclude that our developed ecological driving simulation scenarios can be used to induce and measure stress at the event level. Application: The developed simulator scenarios enable us to measure stress reactions in driving situations at the time when the event actually happens. With these scenarios, we can measure how situational factors, such as fatigue or substance abuse, can change immediate stress reactions when driving. We can further measure more specifically how induced driving stress can affect physical and mental functioning afterward.

International audience; Although most of Beyond Standard Model (BSM) searches are targeting specific theory models, there has always been a keen interest in the development of model-independent methods amongst the High Energy Physics (HEP) community. Machine Learning (ML) based anomaly detection stands among the latest up-and-coming avenues for creating model-agnostic BSM searches. The focus of this research is the design of anomalous event taggers based on autoencoder models. Alongside the signal discrimination power, a high priority is placed on both signal-model and background-model independence. To this end, the autoencoder is used in conjunction with a Normalizing Flow model tasked with latent space density estimation. Both event reconstruction error and latent representation likelihood are combined to mitigate the bias of the resulting event anomaly score. Overall this method is showing promising anomaly detection performance without losing much in terms of generalization power. On the multijet LHC Olympics data, it is consistently able to identify BSM signals, even in the challenging scenarios posed by the Black Box datasets, where the signal content is unknown.

(1) Background: Condomless anal sex and substance use are associated with STI risk among gay, bisexual, and other men who have sex with men (gbMSM). Our first study objective was to describe event-level sexual risk and substance use trends among gbMSM. Our second study objective was to describe substances associated with event-level sexual risk. (2) Methods: Data come from the Momentum Health Study in Vancouver, British Columbia and participants were recruited from 2012–2015, with follow-up until 2018. Stratified by self-reported HIV status, we used generalized estimating equations to assess trends of sexual event-level substance use and assessed interactions between substance use and time period on event-level higher risk sex defined as condomless anal sex with an HIV serodifferent or unknown status partner. (3) Results: Event-level higher risk anal sex increased across the study period among HIV-negative/unknown (baseline prevalence: 13% vs. study end prevalence: 29%) and HIV-positive gbMSM (baseline prevalence: 16% vs. study end prevalence: 38%). Among HIV-negative/unknown gbMSM, event-level erectile drug use increased, while alcohol use decreased over the study period. Overall, interactions between substance use and time on higher risk anal sex were not statistically significant, regardless of serostatus. However, we found a number of time-specific significant interactions for erectile drugs, poppers, Gamma-hydroxybutyrate (GHB), crystal methamphetamine and ecstasy/MDMA use among HIV-negative/unknown gbMSM. (4) Conclusion: Significant differences in substance use trends and associated risks exist and are varied among gbMSM by serostatus. These findings provide a more comprehensive understanding of the effects of event-level substance use on sexual risk through longitudinal follow-up of nearly six years.

Policing efforts to thwart urban crime often rely on detailed reports of criminal infractions. However, crime rates do not document the distribution of crime in isolation, but rather its complex relationship with policing and society. Several results attempting to predict future crime now exist, with varying degrees of predictive efficacy. However, the very idea of predictive policing has stirred controversy, with the algorithms being largely black boxes producing little to no insight into the social system of crime, and its rules of organization. The issue of how enforcement interacts with, modulates, and reinforces crime has been rarely addressed in the context of precise event predictions. In this study, we demonstrate that predictive tools are not purely an instrument enhacing state power, but may be effectively used to seek out systemic biases in urban enforcement. We introduce a novel stochastic inference algorithm as a new forecasting approach that learns spatio-temporal dependencies from individual event reports with demonstrated performance far surpassing past results (e.g., average AUC of ~90% in the City of Chicago for property and violent crimes predicted a week in advance within spatial tiles ~1000ft across). These precise predictions enable equally precise evaluation of inequities in law enforcement, discovering that response to increased crime rates is biased by the socio-economic status of neighborhoods, draining policy resources to wealthy areas with disproportionately negative impacts for the inner city, as demonstrated in Chicago and six other major U.S. metropolitan areas. While the emergence of powerful predictive tools raise concerns regarding the unprecedented power they place in the hands of over-zealous states in the name of civilian protection, our approach demonstrates how sophisticated algorithms enable us to audit enforcement biases, and hold states accountable in ways previously inconceivable.

This chapter focuses on alcohol use and related problems at the event level. The chapter examines historical and current theoretical and methodological issues related to understanding drinking events. The chapter postulates drinking events as ecological systems where individual, social, and environmental factors interact in complex and dynamic ways to influence drinking and related problems. Current interventions related to preventing alcohol-related problems at the event level are discussed. The promise of developing real-time interventions designed to prevent in situ alcohol-related problems are also discussed. Finally, the chapter addresses potential future directions for research relating to drinking at the event level.

Introduction and aims Drinks consumed in real life are diverse, in terms of beverage type, container size and alcohol by volume. To date, most ecological momentary assessment studies have assessed drinking amounts with 'standard' drinks, although their event-level design allows for more advanced assessment schemes. The purpose of this empirical study is to compare participants' estimates of alcoholic drink characteristics, assessed using drink-specific questions, with estimates generated by annotators based on pictures of the same drinks. Design and methods On weekend nights, 186 young adults took 1484 close-up pictures of their drinks using a custom-built smartphone application. Participants reported the beverage type, drink size and alcohol by volume. Annotators described the beverage type, container size and filling level. Correspondence between participants' and annotators' estimates was explored using descriptive statistics, difference tests and correlations. Results Annotators were unable to precisely identify the beverage types in most pictures of liqueurs, spirits and mixed drinks. Participants' drink size estimates converged with annotators' estimates of the container size for beer (41 cl corresponding to 16 g of pure alcohol) and mixed drinks (28 cl/35 g), and of the content size for wine (10 cl/9 g). However, annotators estimated larger sizes for liqueur/fortified wine (12 cl/14 g vs. 7 cl/9 g) and spirits (8 cl/26 g vs. 4 cl/10 g) than participants. Discussion and conclusions Annotations of pictures should be considered as a complement to participants' reports rather than a substitute. Except for wine, real-life drinks vary largely and often exceed 10 g 'standard' drinks.

OBJECTIVE: Alcohol-impaired driving is a significant public safety concern and is highly prevalent among young adults. Considerable research has examined between-person predictors of alcohol-impaired driving, but there has been little research on factors that predict alcohol-impaired driving at the event-level. This pilot/feasibility study was designed to identify within-person, event-level predictors of alcohol-impaired driving intentions in the natural environment using an ecological momentary assessment (EMA) design. METHOD: Thirty-six young adult, moderate drinkers (M age = 22.9 years; 72.2% female; M drinks per occasion = 3.2) were recruited from a university area to complete 2 weeks of EMA. They reported on their subjective levels of intoxication, perceived dangerousness of driving, and driving intentions during real-world drinking episodes. Breath alcohol concentrations were collected with a portable breath alcohol analyzer. RESULTS: Event-level perceived danger and subjective intoxication most strongly predicted intentions to drive after drinking, such that higher perceived danger and intoxication predicted lower willingness to drive, after adjusting for baseline alcohol-impaired driving attitudes (ps < .001). When we accounted for perceived danger during drinking episodes at the event and person level, baseline attitudes were no longer predictive of willingness to drive. Higher event-level breath alcohol concentration also predicted lower willingness to drive (p = .003). CONCLUSIONS: This study is the first to demonstrate that event-level risks of alcohol-impaired driving can be collected during drinking episodes in the natural environment. Findings indicate that subjective perceptions of intoxication and risk more strongly predict alcohol-impaired driving intentions than objective intoxication. Findings also suggest that event-level perceptions of intoxication and driving risk may be fruitful targets for interventions to reduce alcohol-impaired driving.

Objective Problematic alcohol involvement in college students remains a public health concern and identifying factors that promote this consequential behavior as it occurs in daily life is critical. Recent work has found that whether a drinking event is unplanned vs. planned has implications for the risk of negative consequences, though less work has identified fine-grained predictors of these two types of drinking occasions. Method The present study examined drinking motives and positive and negative affect as predictors of unplanned vs. planned drinking in a sample of college students who completed 28 days of ecological momentary assessment (N = 96; 72% White; 52% female). We examined drinking motives reported at two points: (1) in real-time upon initiating drinking and (2) after one day of retrospection (collected at the daily diary report assessing the prior day). Positive and negative affect were both assessed in real-time. Generalized linear mixed-effects models disentangling within- and between-person effects were leveraged. Results Drinking “to get high, buzzed, or drunk” — when retrospectively reported for prior-day drinking — exhibited within-person associations with planned drinking, relative to unplanned drinking. This same effect was marginally significant when ascertained in real-time. Individuals with more frequent retrospective endorsement of the motive “to make the day/night more fun” reported more planned drinking. Higher real-time positive affect, but not negative affect, was marginally associated with planned drinking. Conclusions Our findings provide preliminary support that enhancement motives and higher positive affect are related to planned drinking, which may inform the development of momentary interventions.

A large number of partnered individuals regularly use or are in a relationship with someone who uses pornography. However, knowledge concerning the association between pornography use and partnered sexual health— sexual satisfaction, distress, and function—is fragmentary. The current study used an event- level dyadic design to examine the associations between pornography use and sexual satisfaction, distress, and function on days when partnered sexual activity occurred. A convenience sample of 217 couples (Mage = 30.2 ; SD = 8.3 ; 72 same-sex couples) completed a short survey on days of sexual activity with their partner, over a 35-day period. Self- report measures included questions about daily pornography use and masturbation as well as daily sexual satisfaction, distress, and function. Using pornography on days of partnered sexual activity was reported by half of the couples. An individual’s solitary pornography use on days of partnered sexual activity was related to their partner’s higher sexual distress and, for women’s use only, to their own higher quality of lubrication, compared to sex days without solitary pornography use. There was no evidence of an association between pornography use on sex days, whether alone or with the partner, and all other aspects of sexual health including sexual satisfaction. Our findings capture the complexity of the associations between pornography and sexual health. Men and women’s pornography use may create idealized fantasies around appearance and performance, which may lead the partner to feel distressed about their sex life. Women’s pornography use might facilitate their sexual responsiveness during partnered sexual activity.

A complex event is an assortment of data observations that chimed to captivating of remarkable patterns in the implicit incident that are captured via the sensing devices. An innovative method is introduced in this research for the purpose of detecting complex events by analysing a huge dataset of images and other metadata that have been collected using remote sensing approach in Cassini–Huygens mission interplanetary expedition. The proposed method is competent to explore a big volume of data that is influenced by the indexed time-series manner using score array and the variation score of the target time intervals via the Weighted Complex Event Level (WCEL), allowing to convert the sensed data and images into spectacular detected events. It has been tested by applying it on all the batches which forming the included dataset and the results showed that almost in every batch there was more than a single complex event, within the 5 analysed phases of the mission, which include: Approach science phase, Extended phase, Extended-Extended phase, Tour, and Tour pre-Huygens phase.

Uncertainties in Representative Concentration Pathway (RCP) scenarios and Antarctic Ice Sheet (AIS) melt propagate into uncertainties in projected mean sea-level (MSL) changes and extreme sea-level (ESL) events. Here we quantify the impact of RCP scenarios and AIS contributions on 21st-century ESL changes at tide-gauge sites across the globe using extreme-value statistics. We find that even under RCP2.6, almost half of the sites could be exposed annually to a present-day 100-year ESL event by 2050. Most tropical sites face large increases in ESL events earlier and for scenarios with smaller MSL changes than extratropical sites. Strong emission reductions lower the probability of large ESL changes but due to AIS uncertainties, cannot fully eliminate the probability that large increases in frequencies of ESL events will occur. Under RCP8.5 and rapid AIS mass loss, many tropical sites, including low-lying islands face a MSL rise by 2100 that exceeds the present-day 100-year event level., There are significant uncertainties of how large sea level changes due to Antarctic Ice Sheet melting could be. Here, the authors quantify the impact of different greenhouse gas emission scenarios and different Antarctic contributions to changes to extreme sea-level events and find that even under low emissions the occurrence of sea-level extremes could rise significantly due to Antarctic meltwater increase.

This work considers the challenge of identifying and properly assessing the contribution of a single player towards the performance of a team. In particular, we study the use of advanced plus-minus ratings for individual football players, which involves evaluating a player based on the goals scored and conceded with the player appearing on the pitch, while compensating for the quality of the opponents and the teammates as well as other factors. To increase the understanding of plus-minus ratings, event-based data from matches are first used to explain the observed variance of ratings, and then to improve their ability to predict outcomes of football matches. It is found that event-level performance statistics can explain from 22% to 38% of the variance in plus-minus ratings, depending on player positions, while incorporating the event-level statistics only marginally improves the predictive power of plus-minus ratings.

A wind erosion event is the basic minimum unit of an aeolian process. To understand the characteristics of such events, we analyzed wind speed data from 1980 to 2015 from 151 meteorological stations in the area of northern China subject to wind erosion. We classified wind erosion events into 15 levels based on the maximum wind speed during each event, and analyzed wind speed distribution of these different levels of events. The wind speed in each event level showed a significant linear distribution, providing the basis for improving the calculation of wind erosion: Qj = Tj ∙ ∑i=1i=j[R(ui) ∙ F(ui)] (details in the article). This would help to improve the calculation accuracy based on wind level compared to values based on average wind speed. We found that low-level wind erosion events were frequent but shorter, whereas high-level events were less frequent, but lasted longer and contributed more to wind erosion. >87% of the total wind erosion events lasted no >10 h. Only 9% of the individual wind erosion events lasted 11 to 20 h. Fewer than 4% of individual events lasted >20 h. Thus, it is important to consider the roles of both weak wind erosion events (

Background and aims The threshold of 4+/5+ drinks per occasion has been used for decades in alcohol research to distinguish between non-risky versus risky episodic drinking. However, no study has assessed the validity of this threshold using event-level data. This study aimed to determine the optimal thresholds for the detection of five acute alcohol-related consequences (hangover, blackout, risky sex, fights and injury) using data from two event-level studies. Design An event-level study to assess the ability to use the number of drinks consumed to discriminate between nights with and without consequences using the area under the receiver operating characteristic (AUROC) curve. Optimal thresholds were determined using the Youden Index based on sensitivity and specificity. Separate thresholds were estimated for gender and age groups (16-17 versus 18-25). Setting Lausanne and Zurich, Switzerland. Participants Three hundred and sixty-nine participants aged 16-25 years. Measurements On 3554 weekend nights, participants reported total number of alcoholic drinks consumed the previous night and acute consequences (hangover, blackout, risky sex, fights and injury) FINDINGS: Hangover was the most frequently reported consequence and injury the least for both genders. Throughout age groups and studies, optimal thresholds for any consequence, and for hangover only, were equal to 4+/5+ (40+/50+ g alcohol) while those for blackouts, risky sex, fights and injuries were up to three drinks higher. Adolescents tended to experience consequences more often and at slightly lower drinking levels than did adults. For all consequences but injuries, the optimal thresholds were one to two drinks lower for women than for men. Conclusions Event-level data collection techniques appear particularly suitable to estimate thresholds at which acute alcohol-related consequences occur. Binge drinking thresholds of 4+/5+ (women/men) drinks, equivalent to 40+/50+ g pure alcohol, predict the occurrence of consequences accurately in general but are too low to predict severe acute alcohol-related consequences.

Gratitude is a valuable emotion with an array of functional outcomes. Nonetheless, research on gratitude in organizations is limited. In this article we develop a multilevel model of gratitude composed of episodic gratitude at the event level, persistent gratitude at the individual level, and collective gratitude at the organizational level. We then consider the types of human resource initiatives that organizations can develop to cultivate employee gratitude and the contingencies of gratitude’s emergence at the individual and organizational levels of analysis. Finally, we elucidate the benefits of gratitude for organizations and their employees. The result is a deeper understanding of how gratitude unfolds in organizations and the role that organizations themselves can play in influencing emotions at multiple levels in the workplace.

This study examines the effect of condom negotiation strategies on condom use and partner type and substance use before sex as moderators of strategy effectiveness. Women reported their daily sexual behavior during the last month. Withholding sex was more strongly associated with condom use when utilized with a non-casual sex partner. Directly requesting condom use was more strongly and using deceptive reasons to influence condom use was less strongly related to condom use during substance use. Results underscore the importance of understanding the contexts in which condom negotiation strategies are successful in order to improve HIV/sexually transmitted infection prevention efforts among women.

Gay and bisexual Men Who Have Sex with Men (GBM) are sexually unique in that they can practice penile-anal sex versatility, i.e. engage in insertive and receptive anal sex. Individual-level versatility is extensively researched both as a sexual behavior linked to HIV/STI transmission, and as a GBM identity that can change over time. However, there is a dearth of research on event-level versatility (ELV), defined as taking the receptive and insertive role in the same sexual encounter. We analyzed event-level data from 644 GBM in the Momentum Health Study from February 2012-February 2017 to identify factors associated with ELV prevalence, the relationship between ELV and anal sex role preference, and sero-adaptive and sexualized drug use strategies. Univariate analysis revealed ELV prevalence rates between 15% and 20%. A multivariate generalized linear mixed model indicated ELV significantly (p < .05) associated with versatile role preference and condomless sex. However, the majority of ELV came from GBM reporting insertive or receptive role preferences, and there was significantly higher condom use among sero-discordant partners, indicating sero-adaptation. Multi- variate log-linear modeling identified multiple polysubstance combinations significantly associated with ELV. Results provide insights into GBM sexual behavior and constitute empirical data useful for future HIV/STI transmission pattern modeling.

Background We characterized event-level relationship patterns of gay and bisexual men (gbMSM)’s long- and short-term with the goal of improving intimacy, well-being, and the control of sexually transmitted infections. Methods Between 2012–2015, sexually-active gbMSM, aged >16, were recruited in Metro Vancouver using respondent-driven sampling. Participants completed computer-assisted self-interviews at six-month intervals for up to 12 visits. At each visit, participants described their last sexual encounter with up to five of their most recent partners. Relationship duration was measured as the months between their first and most recent sexual encounter with each partner. Multivariable generalized estimating equations with RDS-chain, participant, and visit effects were used to identify sociodemographic, psychosocial, and behavioural factors associated with relationship duration. Results A total of 10,424 events were reported by 762 gbMSM (median=13/person, Q1-Q3:5–24). Median relationship duration was Conclusion Partner meeting location, personal identity, and risk management behaviours are key correlates of relationship duration – with shorter, often one-time, relationships being characterized by both risk (e.g., group sex, public sex, unknown partner serostatus) and risk management (e.g., condom use). Disclosure No significant relationships.

Background Prior research identifies a range of potential predictors of blackouts and suggests that blackouts increase risk for additional negative consequences. However, these studies are based on epidemiological work that allows us to draw conclusions about groups of people but not within-person processes. The present study examined within-person, event-level correlates of blackouts. Methods Ninety-six heavy drinking college students (52% female) completed 28 days of daily reports of alcohol use and consequences, including blackouts. Thirty-three participants reported 56 blackouts. Hierarchical linear modeling compared morning reports of drinking events on which participants did versus did not report a blackout, controlling for total drinks at the event. Results Blackout likelihood increased as a function of total drinks consumed and of crossing thresholds for heavy episodic drinking (4+/5+ drinks for women/men) and high-intensity drinking (8+/10+). Participants reported a higher total number of additional negative consequences on blackout events. Specific consequences that were more likely included embarrassing oneself and hangover. Blackouts were associated with morning ratings of less positive mood and a less favorable drinking event. Motives for drinking and simultaneous use of marijuana were not associated with blackouts. Conclusions Event-level findings of this study document that events leading to alcohol-induced memory loss are associated with other adverse experiences relative to drinking events that do not result in blackout, and offer potentially motivational levers for preventive interventions.

If the sample cannot be brought to the lab for sampling, then the sampling needs to be done at the sample location. The portable laser ablation (pLA) system is one of the candidates to address this challenge, as it is a powerful tool for field deployable sampling of solids with the benefits of laser based analysis methods. However, sampling in the field is not always as convenient as in a defined laboratory setting and requires a neat prior method development. In the field, the evaluation of the sampling performance is not straightforward with current hardware. During mass removal by (p)LA, an acoustic pressure wave is formed for every individual LA event. In order to track these signals, a directional microphone was integrated into the handheld pLA-module. This allowed the monitoring of the acoustic signal close to the ablation site to count and quantify LA events from each individual pulse. In order to monitor mass removal and acoustic response quasi-simultaneously, the pLA sampling device was coupled to an ICPMS via a gas-exchange device (GED). Performance was investigated using various samples. Discrepancies were observed between samples with low and high ablation thresholds. For samples with low ablation thresholds, e.g. metals, the acoustic signal was mainly influenced by the laser fluence at the ablation site and not by the amount of mass removal. Comparatively, when ablating samples with high ablation thresholds, such as glasses and minerals, these variations were less pronounced, resulting in the observation of a linear relationship. Consequently, this allows the use of the acoustic energy as a measure of the amount of mass removal. In summary, results show that this approach enables a straightforward way to track all actual ablation events during on-site sampling and allows an instant evaluation of the ablation performance, thereby reducing unsuccessful sampling sessions., Spectrochimica Acta. Part B, Atomic Spectroscopy, 179, ISSN:0584-8547

Droughts evolve in space and time simultaneously, but its spatio-temporal propagation remains less explored. As one of the hotspot regions in global soil moisture (SM) drought, the Southeastern Asia supports billions of population and trillions of dollars in gross domestic product. Its high drought risk initiated a deep understanding of drought propagation in multiple dimensions for effective prevention. This study investigated the SM droughts with a merged dataset of remote sensing and land surface modeling over 1979–2016. Our results showed that 369 drought clusters and 145 drought events occurred. Spatially, severe droughts appeared mainly in southwest and northeast of the study region. Temporally, the droughts were more severe in cold season (winter and spring) than warm season (summer and autumn). In last four decades, the SM droughts alleviated in warm season but aggravated in cold season significantly, posing a challenge for drought mitigation, especially for spring crop growth vigorously. Furthermore, the drought clusters shared two predominant routes of westward and southwest. The westward route is for the droughts started in winter in south region, while the southwest route is for the droughts started in summer across the Yangtze River basin from northeast to southwest. At a drought event level, the SM drought propagated synergistically with precipitation and potential evapotranspiration (PET). Precipitation was generally the primary driver and PET the secondary, particularly for SM droughts lasting in summer and winter in south region. The intensity of PET usually enhanced in spring and summer with temperature increasing and crop growing. The findings in drought propagation provide essential spatiotemporal structure for mechanism exploration and important clues for drought prediction.

Little is known about instances of coerced consensual sex in which women report both that they consented to have sex and that their partner used coercive tactics (e.g., made threats) to get them to have sex when they did not want to. Yet, these experiences are frequently reported by young sexually active women. We examined the relationship between sexual victimization history and the woman’s level of alcohol intoxication in the likelihood of experiencing coerced consensual sex using event-level data collected over a 1-year period from 548 young adult nonproblem drinking women who engaged in sexual activity with men. Twenty percent ( n = 112) reported at least one incident of coerced consensual sex. A generalized estimating equation model revealed main effects of daily estimated blood alcohol content (eBAC) and sexual victimization severity. The more women increased their alcohol consumption above their own average and the more severe their sexual victimization history, the more likely they were to experience coerced consensual sex. Our findings highlight the fact that coercion and consent are not mutually exclusive in some situations and shed light on this important yet understudied coercive sexual experience.

Aims: To investigate how gender composition of the drinking group affects young adults’ alcohol consumption on weekend evenings over and above the effect of drinking-group size. Design: Using the internet-based cellphone-optimized assessment technique (ICAT), participants completed online questionnaires on their cell phones every hour from 8 p.m. to midnight on Thursday, Friday and Saturday evenings during five consecutive weekends. Setting: French-speaking Switzerland. Participants: Convenience sample of 183 young adults (53.0% female, mean age = 23.1) who completed a total of 4141 hourly assessments. Measurements: Alcohol consumption and number of male and female friends present assessed at 8 p.m., 9 p.m., 10 p.m., 11 p.m. and midnight. Findings: Results of three-level negative binomial regression analyses showed that women consumed significantly more drinks per hour when drinking in mixed-gender groups (Z-values ranging from 2.9 to 5.3, all P

Research suggests that protective behavioral strategies (PBS) serve as one mechanism through which drinking motives can influence alcohol use. Whether these findings generalize to preparty drinking has yet to be examined.The current study attempts to fill this gap in the literature by examining three types of PBS (Limiting/Stopping Drinking, Manner of Drinking, and Serious Harm Reduction) as mediators of the relationship between preparty-specific drinking motives (e.g., Interpersonal Enhancement, Intimate Pursuit, Situational Control, and Barriers to Consumption) and event-level preparty drinking.Participants were 986 college students from two universities taking part in a larger alcohol intervention study who reported on the amount of alcohol they consumed during a recent preparty occasion.After controlling for general drinking motives, campus affiliation, and gender, Manner of Drinking PBS (e.g., avoiding drinking games and consuming shots of liquor) were found to mediate the relationship between preparty-specific motives and event-level preparty drinking. Conclusions/ Importance: The findings demonstrate that PBS may be helpful to assuage the strong association between preparty drinking motives and preparty drinking. The findings also point to several areas for further exploration, including the identification of PBS which are specific to prepartying.

Each day for two weeks, participants (psychologically healthy adults residing in the community) described the events that happened to them. These descriptions included how attentive to the present moment they were during the event, and how stressful, positive, and important the event was. Three-level MLM analyses (events nested within days, days nested within persons) found that dispositional (trait) mindfulness was positively related to event-level mindfulness (presence), positivity, and importance, and was negatively related to event-level stress. At the event-level, presence was positively related to how positive and important events were and was positively related to how stressful events were. Moreover, these event-level relationships did not vary as a function of trait mindfulness. These results suggest that although more mindful people may experience less stress, when stress occurs, people tend to become more mindful.

Deviation detection is a set of techniques that identify deviations from normative processes in real process executions. These diagnostics are used to derive recommendations for improving business processes. Existing detection techniques identify deviations either only on the process instance level or rely on a normative process model to locate deviating behavior on the event level. However, when normative models are not available, these techniques detect deviations against a less accurate model discovered from the actual behavior, resulting in incorrect diagnostics. In this paper, we propose a novel approach to detect deviation on the event level by identifying frequent common behavior and uncommon behavior among executed process instances, without discovering any normative model. The approach is implemented in ProM and was evaluated in a controlled setting with artificial logs and real-life logs. We compare our approach to existing approaches to investigate its possibilities and limitations. We show that in some cases, it is possible to detect deviating events without a model as accurately as against a given precise normative model.

College women experience more consequences (e.g., blacking out, unprotected/unwanted sex) on days when they engage in their heaviest drinking. To inform prevention efforts, research is needed to understand decision-making processes that influence women’s drinking behaviors at the event level. The present study used ecological momentary assessment (EMA) methods to examine: (1) associations between positive affect (PA) and negative affect (NA) and decision-making processes on days leading up to, during, and following heavy drinking events; and (2) mental health symptoms as moderators of these associations. Female undergraduate drinkers (N = 57) completed a 14-day EMA protocol on their smartphones, which included three daily assessments of PA, NA, and willingness and intentions to drink. Trait anxiety and depressive symptoms were measured before the EMA protocol and assessed as moderators. Time-varying effect models were used to examine covariation among PA, NA, and willingness and intentions to drink on the days leading up to participants’ heaviest drinking events, the day of the event itself, and the days following the event. Results revealed PA was positively associated with willingness to drink the 2 days before, the day of, and the day after the heaviest drinking event. Similar effects were observed for PA and intentions to drink. Trait anxiety moderated the association between PA and intentions to drink. Findings underscore that positive affect may influence drinking-related decision-making processes surrounding heavy drinking events, particularly in those college women low in anxiety. Results identify potential entry points for real-time intervention efforts targeting college women during times of elevated PA.

Bluetooth technology is widely used nowadays by mobile, embedded and IoT devices. One important aspect that should be addressed by battery powered solutions is energy efficiency, where communication takes an important share or the total power consumption. The main goal of our research is to analyze and profile Bluetooth communication from power consumption and performance perspectives. This analysis is further used to optimize communication on battery powered devices in order to increase the battery lifetime of the application. In our work we managed to identify and measure power consumption and timings of BLE communication at event level with high accuracy.

Background High rates of alcohol and other drug use contribute to the ongoing generalized human immunodeficiency virus epidemic in South Africa. Despite the general link between alcohol use and condomless sex, findings from event-level studies of the relationship between alcohol use and condomless sex during the same encounter have been inconsistent. Methods We conducted event-level analyses of the most recent sexual encounter reported by 636 women who use substances in Pretoria. Data were collected via a questionnaire that included questions about the number of rounds of vaginal and anal sex and condom use during each round. We used multiple logistic regression analyses to model the associations between alcohol use by both partners and having multiple rounds of sex, and alcohol use and condom use during all rounds of sex. Results Over 50% of encounters involved multiple rounds of vaginal or anal sex. Encounters that involved multiple rounds of sex were associated with inconsistent condom use. Encounters in which both partners drank alcohol were more likely to involve condomless sex, as compared with encounters in which one or neither partner drank alcohol. Conclusions These findings raise the possibility that prior event-level studies, which do not ask about multiple rounds of sex, may underestimate the prevalence of condomless sex. The association between alcohol use by both partners and condomless sex may partially explain inconsistent associations between alcohol use and condom use in event-level studies that did not assess the number of partners drinking.

Introduction Much of the past research on the excessive consumption of alcohol by college students has focused on the interplay of individual factors and typical drinking patterns, but this is not adequate to understand behavior as it occurs. The need to understand drinking at the event-level is critical in order to develop event-level prevention. To this end, this study examined a conceptual model of college students’ drinking events in order to determine the potential mediating effect of drinking motives and protective behavioral strategies (PBS) in the relationship between alcohol expectancies and event-level alcohol use and consequences. Methods An existing data set containing information about 2279 college student drinking events were analyzed for this study. Students completed surveys during the administration of a commercial online alcohol course during 2010 and 2011. A theoretical model was analyzed with structural equation modeling. Results Both typical use of PBS and drinking motives mediated the relationship between expectancies and event-level alcohol use and problems. Positive expectancies were associated with greater positive motives, greater motives were associated with less use of PBS, and less PBS use was then, in turn, associated with higher event-level intoxication. Lastly, higher intoxication was associated with more serious consequences during the event. Conclusion This is the first study to simultaneously explore the relationship between these factors and event-level drinking. There is a great need to continue to further explore the dynamic nature of drinking at the event-level to illuminate potential leverage points amendable to change.

Given recent calls for enhancing multilevel leadership research, the present study uses event-level data to test the proposition that follower leadership perceptions result from aggregated personal observations of leader behavior. Although this proposition implies causality, it has been mostly tested with between-person retrospective data, coupled with correlational study designs. Our data refer to the perceived nature of leadership messages communicated during the most recent conversation with followers. These event-level data were used in a feedback intervention coupled with goal setting and population norms devised to change leader verbal behavior. The study was designed as a randomized field experiment in a manufacturing company in which supervisors in the experimental group received two feedback sessions regarding the extent to which conversation participants perceived their messages as transformative, transactive (corrective), or passive. Supervisors in the control group received no feedback. The data indicated significant changes in verbal leader behavior for experimental group supervisors, remaining unchanged in the control group. Such changes resulted in matching changes in follower leadership perceptions, measured 8 weeks before and after the intervention. Furthermore, performance outcomes improved in the experimental group, remaining unchanged in the control group. Implications for leadership research are discussed.