A partnership-based, whole-watershed approach to climate adaptation in Acadia National Park

Changes in climate and associated changes in seasonality, invasive plants and insects, and visitation are stressing ecosystems and infrastructure in Acadia National Park. Over the past five years, park staff and partners have begun taking an interdisciplinary, partnership-based approach to assessing baseline conditions, identifying stresses, developing climate change scenarios, and restoring the ecological and cultural integrity and resilience of whole watersheds. The approach contrasts with past resource management in which managers frequently tackled problems with minimal coordination between disciplines (e.g., water, wildlife, cultural resources, and maintenance) and locations. The result has been a series of projects that have begun to measurably improve the health of one of the park’s most visited and iconic watersheds: the Cromwell Brook watershed, which includes Sieur de Monts (Acadia began in 1916 as Sieur de Monts National Monument) and the Great Meadow, and whose namesake waterway flows through the gateway town of Bar Harbor. Projects (inside and out of the park) have included rehabilitating a historic spring pool, replacing undersized culverts with open-bottom bridges, removing a poorly sited septic system, removing invasive plants, restoring native wetland, establishing monitoring to assess changes in watershed health, and working with the town and other stakeholders to plan future projects that would further improve the health of Great Meadow and downstream areas in Bar Harbor. The combination of planning; monitoring; restoring healthy, functioning ecological communities; and minimizing stresses from human infrastructure and visitation offer the best chance of main- taining Acadia National Park for the enjoyment of future generations

Making Your Practice and Facility More User-Friendly For Those With Disabilities

As veterinarians, our duties extend beyond practicing medicine. We must realize that the veterinary profession requires excellent client communication and we must alter our way of practice to meet client needs. We must do more than compromise, empathize, and explain terms on a client\u27s level. It is critical that we take into consideration the special needs of disabled clients. This paper will discuss some of the legal and ethical aspects of communicating with disabled clients while making your practice more user-friendly to those with these special needs. Dog guides and their care will also be discussed briefly

Social Connectedness in Schizotypy: The Role of Cognitive and Affective Empathy

Social connectedness is increasingly understood to be a resilience factor that moderates vulnerability to poor physical and mental health. This study examines cognitive and affective processes that support normal socialization and social connectedness, and the impact of schizotypy, in well-functioning college students. In this study, a total of 824 college students completed a series of self-report questionnaires, and structural equation modeling was then employed to identify relationships between cognitive and affective empathy, alexithymia, distress tolerance, social connectedness, and schizotypy. Schizotypy is a trait-like condition, presumed to be genetic in origin, associated with the risk for schizophrenia. Like schizophrenia, schizotypy is thought to have three distinct dimensions or categories, termed positive, negative, and disorganized. Results indicate that the respective dimensions of schizotypy have different pathways to social connectedness, through both direct and indirect effects. Positive schizotypy exerts a counterintuitive positive influence on social connectedness, mediated by positive effects on cognitive empathy, but this is obscured by the high correlations between the schizotypal dimensions and the strong negative influences on empathy and social connectedness of the negative and disorganized dimensions, unless all those intercorrelations are taken into account. Overall, the pathways identified by structural equation modeling strongly support the role of empathy in mediating the impact of schizotypy on social connectedness. Implications for the etiology of social impairments in schizotypy, and for interventions to enhance social connectedness to improve quality of life and reduce health disparities in people at risk for severe mental illness, are discussed

After the Rain – learning the lessons from flood recovery in Hull

The report shows that it is often not so much the floods themselves, but what comes afterwards, that people find so difficult to deal with. The research on which this report is based aimed to undertake a real-time longitudinal study to document and understand the everyday experiences of individuals following the floods of June 2007 in interaction with networks of actors and organisations, strategies of institutional support and investment in the built environment and infrastructure. It had the following objectives: - To identify and document key dimensions of the longer term experience of flood impact and flood recovery, including health, economic and social aspects. - To examine how resilience and vulnerability were manifest in the interaction between everyday strategies of adaptation during the flood recovery process, and modes of institutional support and the management of infrastructure and the built environment. -To explore to what extent the recovery process entailed the development of new forms of resilience and to identify the implications for developing local level resilience for flood recovery in the future. To develop an archive that will be accessible for future research into other aspects of flood recovery. The flooding which affected the city of Kingston-upon-Hull took place in June 2007. Over 110mm of rain fell during the biggest event, overwhelming the city‟s drainage system and resulting in widespread pluvial flooding. The floods affected over 8,600 households and one person was killed. Our research used in-depth, qualitative methods where 44 people kept weekly diaries and participated in interviews and group discussions over an 18-month period

Infant weight gain and adolescent body mass index: comparison across two British cohorts born in 1946 and 2001

Objective To investigate how the relationship of infant weight gain with adolescent body mass index (BMI) differs for individuals born during compared to before the obesity epidemic era. Design Data from two British birth cohorts, the 1946 National Survey of Health and Development (NSHD, n = 4,199) and the 2001 Millennium Cohort Study (MCS, n = 9,417), were used to estimate and compare associations of infant weight gain between ages 0-3 years with adolescent outcomes. Main outcome measures BMI Z-scores and overweight/ obesity at ages 11 and 14 years. Results Infant weight gain, in Z-scores, was positively associated with adolescent BMI Z-scores in both cohorts. Non-linearity in the MCS meant that associations were only stronger than in the NSHD when infant weight gain was above -1 Z-score. Using decomposition analysis, between-cohort differences in association accounted for 20-30% of the differences (secular increases) in BMI Z-scores, although the underlying estimates were not precise with 95% confidence intervals (CI) crossing zero. Conversely, between-cohort differences in the distribution of infant weight gain accounted for approximately 9% of the differences (secular increases) in BMI Z-scores, and the underlying estimates were precise with 95% CI not crossing zero. Relative to normal weight gain (change of -0.67 to +0.67 Z-scores between ages 0-3 years), very rapid infant weight gain (> 1.34), but not rapid weight gain (+0.67 to +1.34), was associated with higher BMI Z-scores more strongly in the MCS (β = 0.790; 95% CI = 0.717, 0.862 at age 11 years) than the NSHD (0.573; 0.466, 0.681); p < 0.001 for between-cohort difference. The relationship of slow infant weight gain (< -0.67) with lower adolescent BMI was also stronger in the MCS. Very rapid or slow infant weight gain were not, however, more strongly associated with increased risk of adolescent overweight/ obesity or thinness, respectively, in the more recently born cohort. Conclusions Greater infant weight gain, at the middle/ upper-end of the distribution, was more strongly associated with higher adolescent BMI among individuals born during (compared to before) the obesity epidemic. Combined with a secular change toward greater infant weight gain, these results suggest that there are likely to be associated negative consequences for population-level health and wellbeing in the future, unless effective interventions are developed and implemented

DataViewer3D: An Open-Source, Cross-Platform Multi-Modal Neuroimaging Data Visualization Tool

Integration and display of results from multiple neuroimaging modalities [e.g. magnetic resonance imaging (MRI), magnetoencephalography, EEG] relies on display of a diverse range of data within a common, defined coordinate frame. DataViewer3D (DV3D) is a multi-modal imaging data visualization tool offering a cross-platform, open-source solution to simultaneous data overlay visualization requirements of imaging studies. While DV3D is primarily a visualization tool, the package allows an analysis approach where results from one imaging modality can guide comparative analysis of another modality in a single coordinate space. DV3D is built on Python, a dynamic object-oriented programming language with support for integration of modular toolkits, and development of cross-platform software for neuroimaging. DV3D harnesses the power of the Visualization Toolkit (VTK) for two-dimensional (2D) and 3D rendering, calling VTK's low level C++ functions from Python. Users interact with data via an intuitive interface that uses Python to bind wxWidgets, which in turn calls the user's operating system dialogs and graphical user interface tools. DV3D currently supports NIfTI-1, ANALYZE™ and DICOM formats for MRI data display (including statistical data overlay). Formats for other data types are supported. The modularity of DV3D and ease of use of Python allows rapid integration of additional format support and user development. DV3D has been tested on Mac OSX, RedHat Linux and Microsoft Windows XP. DV3D is offered for free download with an extensive set of tutorial resources and example data

Decision-Making by and for Academic Libraries during Covid-19

Academic libraries are fundamental in promoting equitable access to education but are often overlooked and underfunded. The COVID-19 pandemic amplified these inequities. This study investigates how 39 library deans and directors perceived decision-making by university administration during COVID-19’s onset. Open-ended survey questions were sent to deans and directors asking them to describe their experiences working with university administration to adjust library services during the crisis. Some library leaders reported that working closely with other departments strengthened their campus connections. Others commented that disagreement between library personnel and university administration caused discord. Some deans and directors were forced to cut staff funding or felt pressured to reopen, while others were trusted to choose their budget and service priorities. The authors recommend that library leaders be more consistently relied upon for their expertise during university decision-making