Impact of Opioid Overdose Photos on Addiction Stigma, Explicit Bias, Willingness to Help, and Support for Policy Items

Objective: Opioids, commonly used in hospitals and pain management centers for treating pain, are becoming increasingly abused. Prescription opioids and synthetic opioids are found frequently on the streets, highlighting the rampant spread of these drugs in the black market. Rates of opioid overdose have also dramatically increased in the past few years. Police departments have publicly posted photos of individuals who have overdosed on drugs in order to generate awareness of the issue to the community. Current research has not scientifically measured the impact of these social media campaigns designed to combat the opioid crisis. The present study used a between-subjects design to examine the effect of viewing opioid overdose photos on level of stigma, explicit bias, willingness to help, and support for drug-related policy items. Method: Participants were randomly assigned to view overdose photos or non-overdose photos contained within an ostensible website created for the experiment. The participants then responded to measures asking about their attitudes about substance use. Results: Results indicated that there was a lower willingness to help in participants who viewed opioid overdose images compared to those who viewed non-overdose images. The current study also demonstrated that level of contact with addiction was a significant predictor of stigma. Additionally, political affiliation strongly affected both stigma and support for policy items. Those who were more conservative had higher levels of stigma towards addicts and less support for policy items related to addiction. Conclusions: The present study confirms that there are multiple factors playing a part in how individuals process viral opioid overdose photo. At the societal level, the results of this study have implications for deeper understanding of how social media and “scare tactic” photos truly affect the public. Important implications for future media campaigns and police tactics to combat the opioid crisis are discussed

Unfolding RNA 3D structures for secondary structure prediction benchmarking

Les acides ribonucléiques (ARN) forment des structures tri-dimensionnelles complexes stabilisées par la formation de la structure secondaire (2D), elle-même formée de paires de bases. Plusieurs méthodes computationnelles ont été créées dans les dernières années afin de prédire la structure 2D d’ARNs, en partant de la séquence. Afin de simplifier le calcul, ces méthodes appliquent généralement des restrictions sur le type de paire de bases et la topologie des structures 2D prédites. Ces restrictions font en sorte qu’il est parfois difficile de savoir à quel point la totalité des paires de bases peut être représentée par ces structures 2D restreintes. MC-Unfold fut créé afin de trouver les structures 2D restreintes qui pourraient être associées à une structure secondaire complète, en fonction des restrictions communément utilisées par les méthodes de prédiction de structure secondaire. Un ensemble de 321 monomères d’ARN totalisant plus de 4223 structures fut assemblé afin d’évaluer les méthodes de prédiction de structure 2D. La majorité de ces structures ont été déterminées par résonance magnétique nucléaire et crystallographie aux rayons X. Ces structures ont été dépliés par MC-Unfold et les structures résultantes ont été comparées à celles prédites par les méthodes de prédiction. La performance de MC-Unfold sur un ensemble de structures expérimentales est encourageante. En moins de 5 minutes, 96% des 227 structures ont été complètement dépliées, le reste des structures étant trop complexes pour être déplié rapidement. Pour ce qui est des méthodes de prédiction de structure 2D, les résultats indiquent qu’elles sont capable de prédire avec un certain succès les structures expérimentales, particulièrement les petites molécules. Toutefois, si on considère les structures larges ou contenant des pseudo-noeuds, les résultats sont généralement défavorables. Les résultats obtenus indiquent que les méthodes de prédiction de structure 2D devraient être utilisées avec prudence, particulièrement pour de larges molécules.Ribonucleic acids (RNA) adopt complex three dimensional structures which are stabilized by the formation of base pairs, also known as the secondary (2D) structure. Predicting where and how many of these interactions occur has been the focus of many computational methods called 2D structure prediction algorithms. These methods disregard some interactions, which makes it difficult to know how well a 2D structure represents an RNA structure, especially when large amounts of base pairs are ignored. MC-Unfold was created to remove interactions violating the assumptions used by prediction methods. This process, named unfolding, extends previous planarization and pseudoknot removal methods. To evaluate how well computational methods can predict experimental structures, a set of 321 RNA monomers corresponding to more than 4223 experimental structures was acquired. These structures were mostly determined using nuclear magnetic resonance and X-ray crystallography. MC-Unfold was used to remove interactions the prediction algorithms were not expected to predict. These structures were then compared with the structured predicted. MC-Unfold performed very well on the test set it was given. In less than five minutes, 96% of the 227 structure could be exhaustively unfolded. The few remaining structures are very large and could not be unfolded in reasonable time. MC-Unfold is therefore a practical alternative to the current methods. As for the evaluation of prediction methods, MC-Unfold demonstrated that the computational methods do find experimental structures, especially for small molecules. However, when considering large or pseudoknotted molecules, the results are not so encouraging. As a consequence, 2D structure prediction methods should be used with caution, especially for large structures

Neutrophil swarms require LTB4 and integrins at sites of cell death in vivo

Neutrophil recruitment from blood to extravascular sites of sterile or infectious tissue damage is a hallmark of early innate immune responses, and the molecular events leading to cell exit from the bloodstream have been well defined1,2. Once outside the vessel, individual neutrophils often show extremely coordinated chemotaxis and cluster formation reminiscent of the swarming behaviour of insects3,4,5,6,7,8,9,10,11. The molecular players that direct this response at the single-cell and population levels within the complexity of an inflamed tissue are unknown. Using two-photon intravital microscopy in mouse models of sterile injury and infection, we show a critical role for intercellular signal relay among neutrophils mediated by the lipid leukotriene B4, which acutely amplifies local cell death signals to enhance the radius of highly directed interstitial neutrophil recruitment. Integrin receptors are dispensable for long-distance migration12, but have a previously unappreciated role in maintaining dense cellular clusters when congregating neutrophils rearrange the collagenous fibre network of the dermis to form a collagen-free zone at the wound centre. In this newly formed environment, integrins, in concert with neutrophil-derived leukotriene B4 and other chemoattractants, promote local neutrophil interaction while forming a tight wound seal. This wound seal has borders that cease to grow in kinetic concert with late recruitment of monocytes and macrophages at the edge of the displaced collagen fibres. Together, these data provide an initial molecular map of the factors that contribute to neutrophil swarming in the extravascular space of a damaged tissue. They reveal how local events are propagated over large-range distances, and how auto-signalling produces coordinated, self-organized neutrophil-swarming behaviour that isolates the wound or infectious site from surrounding viable tissue

Impacts des rejets urbains de temps de pluie (RUTP) sur les milieux aquatiques : État des connaissances

En milieu urbain, les flux générés par la pluie peuvent transporter vers les hydrosystèmes une partie des éléments polluants accumulés par temps sec et issus des diverses activités humaines. Ces flux polluants sont qualifiés de « rejets urbains par temps de pluie » (RUTP). Les études menées depuis les années 1960 ont permis d’identifier le problème en évaluant l’origine des polluants, les ordres de grandeur des concentrations et les flux émis. Les RUTP présentent un caractère épisodique, mais peuvent avoir des effets de nature chronique, liés à la répétition des phénomènes. Ils peuvent altérer les différentes composantes des milieux récepteurs : composantes physiques (e.g. modification des écoulements, de la morphodynamique), chimiques (e.g. apports de matières en suspension, fertilisants, micropolluants), biologiques (e.g. sélection des espèces, toxicité, bio-accumulation) et l’hydrosystème dans sa globalité (e.g. eutrophisation). L’intégration d’une caractérisation biologique dans l’évaluation des impacts est reconnue depuis peu, et il existe relativement peu de travaux prenant en compte cette composante. La complexité des rejets (e.g. caractère intermittent, variabilité spatio-temporelle) et la diversité des milieux récepteurs font qu’il est difficile de dresser un bilan exact des impacts. Une approche intégrée, ou holistique, est aujourd’hui préconisée prenant en compte : des descripteurs physico-chimiques, des critères de qualité du milieu (eau et sédiments), de l’habitat, du régime hydraulique, des communautés biologiques autochtones, et des données toxicologiques. Toutefois, une telle approche est difficile à mettre en oeuvre et les travaux s’appuient généralement sur des approches plus simples : études de laboratoire ou de terrain ou combinant les deux.Urbanization greatly disturbs different ecosystems and particularly affects aquatic ecosystems during wet weather. Runoff can transport some of the pollutants accumulated during dry weather towards aquatic ecosystems along with the waste produced by numerous human activities (transport, industry, etc.). These flows of pollution, commonly called «urban wet weather flows», not only affect the physical, chemical and biological properties of receiving aquatic systems, but also modify the intended use of the water. The need to provide a solution to this problem explains the current increase in the number of studies devoted to the environmental impact of urban storm water.Urban wet weather flow studies began in the 1960’s and have permitted the assessment of the sources of pollutants, the order of magnitude of their concentrations and their loads produced. Urban storm-water pollutants are numerous and are of various origins: sewer system cleansing (scoured particles deposited during dry weather); rain wash-out of atmospheric gases and dusts (nitrogen oxides, carbon monoxide, sulphur dioxide, hydrocarbon vapours, trace metals, aerosols, etc.); rainfall on roofs (copper, zinc, lead); and rain runoff from urban areas and waterproofed surfaces, which are covered with particles accumulated during dry weather. These particles have several sources: cars (hydrocarbons, nitrogen oxides, lead, rubber, zinc, cadmium, copper, titanium, chromium, aluminium, etc.); roads (cement and tar, paint used for road markings, sand and chemical de-icers, detergents, surfactants, etc.); industry (organic matter and organic micro-pollutants); animals (manure as a source of organic matter and bacterial and viral contaminations); solid wastes (plastic, various metals, papers, etc.); and plants (more or less easily biodegradable organic matter, nitrogen, phosphate and pesticide discharges). It is very difficult to define the composition of a standard urban wet weather flow, since the concentrations and loads of pollutants vary considerably according to the type of sewer network (combined, storm-water, etc.), the origin of the water (rainfall, road runoff, settling and infiltration tanks, sewer overflows, etc.), and, of course, the characteristics of the watershed (land use, etc.) and the prevailing weather

The effect of internal gravity waves on cloud evolution in sub-stellar atmospheres

Context. Sub-stellar objects exhibit photometric variability which is believed to be caused by a number of processes such as magnetically-driven spots or inhomogeneous cloud coverage. Recent sub-stellar models have shown that turbulent flows and waves, including internal gravity waves, may play an important role in cloud evolution.Aims. The aim of this paper is to investigate the effect of internal gravity waves on dust cloud nucleation and dust growth, and whether observations of the resulting cloud structures could be used to recover atmospheric density information.Methods. For a simplified atmosphere in two dimensions, we numerically solve the governing fluid equations to simulate the effect on dust nucleation and mantle growth as a result of the passage of an internal gravity wave. Furthermore, we derive an expression that relates the properties of the wave-induced cloud structures to observable parameters in order to deduce the atmospheric density.Results. Numerical simulations show that the density, pressure and temperature variations caused by gravity waves lead to an increase of dust nucleation by up to a factor 20, and dust mantle growth rate by up to a factor 1:6, compared to their equilibrium values. Through an exploration of the wider sub-stellar parameter space, we show that in absolute terms, the increase in dust nucleation due to internal gravity waves is stronger in cooler (T dwarfs) and TiO2-rich sub-stellar atmospheres. The relative increase however is greater in warm(L dwarf) and TiO2-poor atmospheres due to conditions less suited for efficient nucleation at equilibrium. These variations lead to banded areas in which dust formation is much more pronounced, and lead to banded cloud structures similar to those observed on Earth. Conclusions. Using the proposed method, potential observations of banded clouds could be used to estimate the atmospheric density of sub-stellar objects

Balsam fir (Abies balsamea) establishment dynamics during a spruce budworn (Choristoneura fumiferana) outbreak: an evaluation of the impact of aging techniques

The effects of recurrent spruce budworm (Choristoneura fumiferana (Clem.)) outbreaks on balsam fir (Abies balsamea (L.) Mill.) mortality have been extensively studied in Canada. Most studies report substantial seedling recruitment of balsam fir during outbreaks when reproductive trees are dying. According to previous research, this contradiction could be due to inaccuracies in the conventional aging method. Counting the maximum number of growth rings found at the tree base would significantly underestimate tree age. Counting terminal bud scars found on the entire trunk, including buried stem, would give a more accurate tree age. In this study, we compare recruitment dynamics obtained for aging seedlings in two balsam fir populations (about 500 km apart) using (i) the conventional method and (ii) bud scar counts. For both populations, the conventional method shows substantial recruitment during adult mortality, while the second aging technique reveals reduced recruitment during the epidemic phase of the spruce budworm outbreak

Minority Stress among Gay and Bisexual Men in Agricultural Occupations

Research integrating the minority stress model and vocational behavior has used broad samples of sexual minority persons. Specific work contexts, particularly traditionally masculine work contexts, may be relevant areas to the integration of minority stress theory and vocational well-being. This study examined the relationship between workplace heterosexism and job satisfaction, as moderated by identity management and person-organization fit, among a sample of 114 sexual minority men, employed in agriculture, recruited from an online social network group. Contrary to prior research, integrating identity management did not moderate the relationship between workplace heterosexism and job satisfaction. Person-organization fit did moderate this relationship, such that the relationship between workplace heterosexism and job satisfaction was negative at high levels of person-organization fit, and positive at low levels of person-organization fit. Our findings add to work on the integration of minority stress theory and vocational behavior by examining these links within a traditionally masculine field