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The goal of this study is to determine the difference in CO2 emissions between 2019-2020 and 2020-2021, more specifically during lockdown periods during the COVID-19 pandemic. In the beginning of the pandemic, most countries were forced into lockdowns, and a countless number of people had to continue their daily work from home in isolation. Previously, people would go to an office or to school and leave their houses empty for eight hours, without having lights or any electronics on. Because of this, there should be a direct correlation between electricity usage before and during lockdowns, as a private residence should have higher electricity consumption during 2020-2021, when they are at home. Using machine learning, we will investigate to see if COVID-19 affected CO2 emissions as a result of more electricity usage in private residences. A model will be made to predict what the CO2 emissions would be for 2019-2020, based on electricity usage data from 2020-2021. Then, the real CO2 emissions from 2019-2020 will be compared with the model’s predicted values, and the difference will indicate if COVID-19 caused an inconsistency between actual and predicted CO2 emissions. Factors that were taken into account when making a model were independent variables relating to outdoor conditions, the number of people living in the house, and the temperature that the thermostat is set at, making the response variable CO2 emissions.

The goal of this study is to determine the difference in CO2 emissions between 2019-2020 and 2020-2021, more specifically during lockdown periods during the COVID-19 pandemic. In the beginning of the pandemic, most countries were forced into lockdowns, and a countless number of people had to continue their daily work from home in isolation. Previously, people would go to an office or to school and leave their houses empty for eight hours, without having lights or any electronics on. Because of this, there should be a direct correlation between electricity usage before and during lockdowns, as a private residence should have higher electricity consumption during 2020-2021, when they are at home. Using machine learning, we will investigate to see if COVID-19 affected CO2 emissions as a result of more electricity usage in private residences. A model will be made to predict what the CO2 emissions would be for 2019-2020, based on electricity usage data from 2020-2021. Then, the real CO2 emissions from 2019-2020 will be compared with the model’s predicted values, and the difference will indicate if COVID-19 caused an inconsistency between actual and predicted CO2 emissions. Factors that were taken into account when making a model were independent variables relating to outdoor conditions, the number of people living in the house, and the temperature that the thermostat is set at, making the response variable CO2 emissions.

The notion of climate anxiety has gained traction in the last years. Yet uncertainty remains regarding the variations of climate anxiety across demographic characteristics (e.g., gender, age) and its associations with adaptive (i.e., pro-environmental) behaviors. Moreover, the point-estimate proportion of people frequently experiencing climate anxiety has seldom been probed. In this study, we assessed climate anxiety (including its related functional impairments), along with demographic characteristics, climate change experience, and pro-environmental behaviors, in 2,080 French-speaking participants from eight African and European countries. 11.64% of the participants reported experiencing climate anxiety frequently, and 20.72% reported experiencing daily life functional consequences (e.g., impact on the ability to go to work or socialize). Women and younger people exhibited significantly higher levels of climate anxiety. There was no difference between participants from African and European countries, although the sample size of the former was limited, thus precluding any definite conclusion regarding potential geographic differences. Concerning adaptation, climate anxiety was associated with pro-environmental behaviors. However, this association was significantly weaker in people reporting frequent experiences of climate anxiety (i.e., eco-paralysis) than in those with lower levels. Although this observation needs to be confirmed in longitudinal and experimental research, our results suggest that climate anxiety can impede daily life functioning and adaptation to climate change in many people, thus deserving a careful audit by the scientific community and practitioners.

The notion of climate anxiety has gained traction in the last years. Yet uncertainty remains regarding the variations of climate anxiety across demographic characteristics (e.g., gender, age) and its associations with adaptive (i.e., pro-environmental) behaviors. Moreover, the point-estimate proportion of people frequently experiencing climate anxiety has seldom been probed. In this study, we assessed climate anxiety (including its related functional impairments), along with demographic characteristics, climate change experience, and pro-environmental behaviors, in 2,080 French-speaking participants from eight African and European countries. 11.64% of the participants reported experiencing climate anxiety frequently, and 20.72% reported experiencing daily life functional consequences (e.g., impact on the ability to go to work or socialize). Women and younger people exhibited significantly higher levels of climate anxiety. There was no difference between participants from African and European countries, although the sample size of the former was limited, thus precluding any definite conclusion regarding potential geographic differences. Concerning adaptation, climate anxiety was associated with pro-environmental behaviors. However, this association was significantly weaker in people reporting frequent experiences of climate anxiety (i.e., eco-paralysis) than in those with lower levels. Although this observation needs to be confirmed in longitudinal and experimental research, our results suggest that climate anxiety can impede daily life functioning and adaptation to climate change in many people, thus deserving a careful audit by the scientific community and practitioners.

Vairimorpha (formerly Nosema) apis and V. ceranae are microsporidian pathogens that are of concern for managed honey bee colonies. Multiple treatments have been proposed to be effective in reducing the prevalence and intensity of Vairimorpha spp. infections. Here, we test the efficacy of these products in one lab-based experiment and three field experiments. In the lab experiment, we found no reductions in Vairimorpha spp. prevalence (proportion of individuals infected with Vairimorpha spp.) or intensity (number of Vairimorpha spp. spores per individual), but we did find a decrease in honey bee survival after treatment with Fumagilin-B, Honey-B-Healthy®, and Nozevit Plus. The first field experiment showed increased Vairimorpha spp. intensity in colonies treated with Fumagilin-B and HiveAlive® compared to a negative control (sucrose syrup alone). The second field experiment showed a weak reduction in Vairimorpha spp. intensity after 3 weeks post treatment with Fumagilin-B compared to Nozevit. However, Vairimorpha spp. intensity returned to levels comparable to those of other treatment groups after 5 weeks post treatment and remained similar to those of other groups for the duration of the experiment. The final field trial showed no positive or negative effects of treatment with Fumagilin-B or Nosevit on Vairimorpha spp. prevalence or intensity. These findings raise questions regarding the efficacy of the products currently being used by beekeepers to control Vairimorpha spp. We argue that the observed reduction of Vairimorpha spp. is more likely relevant to the phenology of spore prevalence and intensity in honey bee colonies than to chemical treatment.

Vairimorpha (formerly Nosema) apis and V. ceranae are microsporidian pathogens that are of concern for managed honey bee colonies. Multiple treatments have been proposed to be effective in reducing the prevalence and intensity of Vairimorpha spp. infections. Here, we test the efficacy of these products in one lab-based experiment and three field experiments. In the lab experiment, we found no reductions in Vairimorpha spp. prevalence (proportion of individuals infected with Vairimorpha spp.) or intensity (number of Vairimorpha spp. spores per individual), but we did find a decrease in honey bee survival after treatment with Fumagilin-B, Honey-B-Healthy®, and Nozevit Plus. The first field experiment showed increased Vairimorpha spp. intensity in colonies treated with Fumagilin-B and HiveAlive® compared to a negative control (sucrose syrup alone). The second field experiment showed a weak reduction in Vairimorpha spp. intensity after 3 weeks post treatment with Fumagilin-B compared to Nozevit. However, Vairimorpha spp. intensity returned to levels comparable to those of other treatment groups after 5 weeks post treatment and remained similar to those of other groups for the duration of the experiment. The final field trial showed no positive or negative effects of treatment with Fumagilin-B or Nosevit on Vairimorpha spp. prevalence or intensity. These findings raise questions regarding the efficacy of the products currently being used by beekeepers to control Vairimorpha spp. We argue that the observed reduction of Vairimorpha spp. is more likely relevant to the phenology of spore prevalence and intensity in honey bee colonies than to chemical treatment.

The objective of this study was to collect data providing information about the biomarker characteristics of alcohol use among a sample of military personnel in the U.S. Army. Military personnel enrolled in the Army Substance Abuse Program at the Walter Reed Army Medical Center in Washington, DC, received a comprehensive assessment that included a panel of direct and indirect biomarkers. A total of 80 records were reviewed to assess biomarker results. Higher Alcohol Use Disorders Identification Test scores correlated with higher gamma glutamyltransferase levels. All subjects tested negative on the initial breathalyzer. All subjects completed an initial ethyl glucuronide and approximately one-third received a positive report. A second positive ethyl glucuronide did correlate with a positive third and fourth result. Military personnel deployed to an area of combat operations reported tobacco use more frequently than military personnel not assigned to an area of combat operations. A broad range of assessment tools, including traditional interviews, standardized questionnaires, indirect, and direct biomarkers, provide clinicians the techniques to screen alcohol use disorders. Direct biomarkers are a valuable assessment tool but must be integrated with the other components of the diagnostic evaluation.