A strengths-based consultancy approach in elite sport : exploring super strengths.

There is a lack of literature documenting strengths-based approaches in sport psychology. This study explored how a super-strengths approach has been implemented by sport psychologists (n = 7) and coaches (n = 8), with UK elite athletes. Findings were categorized into 3 general dimensions: defining super-strengths, identification methods, and phases of development. Super-strengths were defined as a strategy for performance, utilizing a potential world’s-best resource to gain a competitive edge. Identification methods were subjective (e.g., asking/observing athletes) and objective (e.g., performance analysis). Participants emphasized 3 development phases: preparation, adaptation and monitoring. Findings offer considerations for implementing a strengths-based approach and future research

A perspective on consultancy teams and technology in applied sport psychology

Objectives and method: This article introduces the concept of consultancy teams to a sport psychology readership, presenting an overview of initial applications and findings of this approach in applied settings. Although the notion and application of consultancy teams in therapeutic settings has been around for many years (e.g., Weakland, Fisch, Watzlawick, & Bodin, 1974), they have yet to be explored within our discipline. Here, we present the theoretical foundations and historical application of consultancy team models, outlining our experience of using consultancy teams in an applied sport psychology setting. Moving towards the development of expertise and excellence in team consultancy methods, we subsequently describe how this process was assisted with the use of technology (i.e., the iPsych system). Results and conclusions: When consultancy teams practice it is necessary for one practitioner (the primary practitioner) to conduct the session with the client. The remaining team (the observation team) allows the primary practitioner maximum involvement with the client, while simultaneously assisting them to solve the presenting problem. The implications of working in this manner, alongside the novel use of technology, are considered with respect to the consultancy process and the development of excellence in training (neophyte) and existing practitioners. It is hoped that this article will provoke interest among sport psychologists in this way of consulting and direct thought towards other novel approaches to delivering interventions.</p

COTSAT Small Spacecraft Cost Optimization for Government and Commercial Use

Cost Optimized Test of Spacecraft Avionics and Technologies (COTSAT-1) is an ongoing spacecraft research and development project at NASA Ames Research Center (ARC). The prototype spacecraft, also known as CheapSat, is the first of what could potentially be a series of rapidly produced low-cost spacecraft. The COTSAT-1 team is committed to realizing the challenging goal of building a fully functional spacecraft for $500K parts and$2.0M labor. The project's efforts have resulted in significant accomplishments within the scope of a limited budget and schedule. Completion and delivery of the flight hardware to the Engineering Directorate at NASA Ames occurred in February 2009 and a cost effective qualification program is currently under study. The COTSAT-1 spacecraft is now located at NASA Ames Research Center and is awaiting a cost effective launch opportunity. This paper highlights the advancements of the COTSAT-1 spacecraft cost reduction techniques

Nighttime chemical transformation in biomass burning plumes : A box model analysis initialized with aircraft observations

Biomass burning (BB) is a large source of reactive compounds in the atmosphere. While the daytime photochemistry of BB emissions has been studied in some detail, there has been little focus on nighttime reactions despite the potential for substantial oxidative and heterogeneous chemistry. Here, we present the first analysis of nighttime aircraft intercepts of agricultural BB plumes using observations from the NOAA WP-3D aircraft during the 2013 Southeast Nexus (SENEX) campaign. We use these observations in conjunction with detailed chemical box modeling to investigate the formation and fate of oxidants (NO3, N2O5, O3, and OH) and BB volatile organic compounds (BBVOCs), using emissions representative of agricultural burns (rice straw) and western wildfires (ponderosa pine). Field observations suggest NO3 production was approximately 1 ppbv hr–1, while NO3 and N2O5 were at or below 3 pptv, indicating rapid NO3/N2O5 reactivity. Model analysis shows that >99% of NO3/N2O5 loss is due to BBVOC + NO3 reactions rather than aerosol uptake of N2O5. Nighttime BBVOC oxidation for rice straw and ponderosa pine fires is dominated by NO3 (72, 53%, respectively) but O3 oxidation is significant (25, 43%), leading to roughly 55% overnight depletion of the most reactive BBVOCs and NO2

The contribution of environmental science to mental health research: A scoping review

Mental health is influenced by multiple complex and interacting genetic, psychological, social, and environmental factors. As such, developing the state of the art in mental health knowledge requires collaboration across academic disciplines, including environmental science. To assess the current contribution of environmental science to this field, a scoping review of literature on environmental influences on mental health (including conditions of cognitive development and decline) was conducted. The review protocol was developed in consultation with experts working across mental health and environmental science. The scoping review included 202 English-language papers, published between 2010 and 2020, on environmental themes which had not already been the subject of recent systematic reviews, and 26 reviews on climate change, flooding, air pollution and urban green space. Studies largely focused on populations in USA, China, or Europe, and involved limited environmental science input. Environmental science research methods primarily focused on quantitative approaches utilising secondary datasets or field data. Mental health measurement was dominated by the use of self-report psychometric scales. Measures of environmental states or exposures were often lacking in specificity (e.g., limited to presence or absence of an environmental state). Based on the scoping review findings, a research agenda for environmental science’s future contribution to mental health scholarship is set out. This includes recommendations to expand geographical scope and broaden representation of different environmental science areas, improve measurement of environmental exposure, prioritise experimental and longitudinal research designs, and give greater consideration to variation between and within communities and the mediating pathways by which environment influences mental health. There is also considerable opportunity to increase interdisciplinarity within the field via the integration of conceptual models, inclusion of mixed methods and qualitative approaches, as well as further consideration of the socio-political context and the environmental states that can help support good mental health. Findings were used to propose a conceptual model to parse contributions and connections between environmental science and mental health to inform future studies

Introducing ‘Anthropocene Science’: A new international journal for addressing human impact on the resilience of planet earth

Welcome to the new journal Anthropocene Science (eISSN 2731-3980), an exciting trans- and multidisciplinary international peer-reviewed journal for addressing human impact on the resilience of planet Earth, published by Springer Natur

The Lantern, 2009-2010

• I\u27m Pregnant. It\u27s Yours • The Nightmare • What Death Became After Cyparissus • Substances • Ain\u27t That a Man? • Portrait • The 100th Chemo • Looking into Her Toy Box with a Lover • They Used to Talk About Burning Cities • MESSAGE: Absence for Allen Ginsberg • Lunch with Candide • Behold! Man of Unbelief! Behold! • Dream #1 Final Strophe • Patience (Things You Will Discover) • Four Years • He Falls Like Leaves • The Quilt • Ariel (Turning Tricks at Fisherman\u27s Wharf, Monterey, California) • Extranjera • The Taste of Morning • Fear of Glory • The Rum Bottle\u27s Fortune • While Thinking of What to Write • Dying in Spring • Tutte le Eta di Firenze • Token • A House Grows Into Itself • Gravity • Father with the Skyy • He Says He Dreams of Me • Myth • Sun-Veins and Wishbones • Attempts at Bravery • One Boy in Four Parts • Blacktop Rollin\u27 • Getting My Feet Wet • The Long Ride After Ending • Wet Tongues and Sweaty Cotton • Norman Bates is My Mother • Sims Trek • Tomorrow Comes Today • The Writer\u27s Process • This Too Was Real • Venus from the Waves • Shark • Monday\u27s Expectations • Recognition • The Black Shoes • Climax • Andrew • Bottles • Calle de Cusco • God in the Machine • The 26th of December • Lollipop Lollipop • When Dinosaurs Roamed the Earth • Meaning • Jeffrey • Looking • Jagged Edges • Fading Storm • Shoes • Cover Image: Death by Chocolatehttps://digitalcommons.ursinus.edu/lantern/1175/thumbnail.jp

The contribution of environmental science to mental health research: a scoping review

Mental health is influenced by multiple complex and interacting genetic, psychological, social, and environmental factors. As such, developing state-of-the-art mental health knowledge requires collaboration across academic disciplines, including environmental science. To assess the current contribution of environmental science to this field, a scoping review of the literature on environmental influences on mental health (including conditions of cognitive development and decline) was conducted. The review protocol was developed in consultation with experts working across mental health and environmental science. The scoping review included 202 English-language papers, published between 2010 and 2020 (prior to the COVID-19 pandemic), on environmental themes that had not already been the subject of recent systematic reviews; 26 reviews on climate change, flooding, air pollution, and urban green space were additionally considered. Studies largely focused on populations in the USA, China, or Europe and involved limited environmental science input. Environmental science research methods are primarily focused on quantitative approaches utilising secondary datasets or field data. Mental health measurement was dominated by the use of self-report psychometric scales. Measures of environmental states or exposures were often lacking in specificity (e.g., limited to the presence or absence of an environmental state). Based on the scoping review findings and our synthesis of the recent reviews, a research agenda for environmental science’s future contribution to mental health scholarship is set out. This includes recommendations to expand the geographical scope and broaden the representation of different environmental science areas, improve measurement of environmental exposure, prioritise experimental and longitudinal research designs, and giving greater consideration to variation between and within communities and the mediating pathways by which environment influences mental health. There is also considerable opportunity to increase interdisciplinarity within the field via the integration of conceptual models, the inclusion of mixed methods and qualitative approaches, as well as further consideration of the socio-political context and the environmental states that can help support good mental health. The findings were used to propose a conceptual model to parse contributions and connections between environmental science and mental health to inform future studies

The Contribution of Environmental Science to Mental Health Research: A Scoping Review

Mental health is influenced by multiple complex and interacting genetic, psychological, social, and environmental factors. As such, developing state-of-the-art mental health knowledge requires collaboration across academic disciplines, including environmental science. To assess the current contribution of environmental science to this field, a scoping review of the literature on environmental influences on mental health (including conditions of cognitive development and decline) was conducted. The review protocol was developed in consultation with experts working across mental health and environmental science. The scoping review included 202 English-language papers, published between 2010 and 2020 (prior to the COVID-19 pandemic), on environmental themes that had not already been the subject of recent systematic reviews; 26 reviews on climate change, flooding, air pollution, and urban green space were additionally considered. Studies largely focused on populations in the USA, China, or Europe and involved limited environmental science input. Environmental science research methods are primarily focused on quantitative approaches utilising secondary datasets or field data. Mental health measurement was dominated by the use of self-report psychometric scales. Measures of environmental states or exposures were often lacking in specificity (e.g., limited to the presence or absence of an environmental state). Based on the scoping review findings and our synthesis of the recent reviews, a research agenda for environmental science’s future contribution to mental health scholarship is set out. This includes recommendations to expand the geographical scope and broaden the representation of different environmental science areas, improve measurement of environmental exposure, prioritise experimental and longitudinal research designs, and giving greater consideration to variation between and within communities and the mediating pathways by which environment influences mental health. There is also considerable opportunity to increase interdisciplinarity within the field via the integration of conceptual models, the inclusion of mixed methods and qualitative approaches, as well as further consideration of the socio-political context and the environmental states that can help support good mental health. The findings were used to propose a conceptual model to parse contributions and connections between environmental science and mental health to inform future studies

Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States

Short-term probabilistic forecasts of the trajectory of the COVID-19 pandemic in the United States have served as a visible and important communication channel between the scientific modeling community and both the general public and decision-makers. Forecasting models provide specific, quantitative, and evaluable predictions that inform short-term decisions such as healthcare staffing needs, school closures, and allocation of medical supplies. Starting in April 2020, the US COVID-19 Forecast Hub (https://covid19forecasthub.org/) collected, disseminated, and synthesized tens of millions of specific predictions from more than 90 different academic, industry, and independent research groups. A multimodel ensemble forecast that combined predictions from dozens of groups every week provided the most consistently accurate probabilistic forecasts of incident deaths due to COVID-19 at the state and national level from April 2020 through October 2021. The performance of 27 individual models that submitted complete forecasts of COVID-19 deaths consistently throughout this year showed high variability in forecast skill across time, geospatial units, and forecast horizons. Two-thirds of the models evaluated showed better accuracy than a naïve baseline model. Forecast accuracy degraded as models made predictions further into the future, with probabilistic error at a 20-wk horizon three to five times larger than when predicting at a 1-wk horizon. This project underscores the role that collaboration and active coordination between governmental public-health agencies, academic modeling teams, and industry partners can play in developing modern modeling capabilities to support local, state, and federal response to outbreaks