Water Supply Management in Virginia: Lessons from the West Coast

This paper first provides a brief overview of the two main water rights doctrines: riparian rights in the east, and prior appropriation in the west, with special emphasis on Virginia’s and California’s water laws. This paper next looks at particularly relevant water supply solutions, including bringing the agriculture industry to the table, implementing aquifer storage and recovery and groundwater trading programs, embracing “One Water” plans, and expanding water budgeting laws in the state. Each section first examines the actions that Virginia has already undertaken, before highlighting examples of success in the west and making recommendations for ways in which Virginia can ensure an adequate water supply for Virginians in the future. This abstract has been taken from the author\u27s introduction

Social capital and health: A multidimensional approach

In the last few decades as American society and urban life have changed dramatically, public health and urban sociological research have increasingly focused on the effect of residential location on individual well-being. In recent years, social capital has been viewed as an important pathway in understanding the associations between where one lives and health and social outcomes. Although there is not one, single definition of social capital, researchers within public health have often relied on three schools of thought labeled after Pierre Bourdieu, James Coleman, and Robert Putnam to define social capital and hypothesize its relationship with health and behaviors. However, for many years, public health researchers have often relied on Putnam's theory (1993, 1995, 2000) and a communitarian approach to defining social capital and its possible relationship to health and well-being. Many researchers and sociologists have criticized this over-reliance and overuse of Putnam's social capital constructs as they have been criticized for lacking depth and their inability to explain the causal pathways in which social capital and health operate. Additionally, the measures used to operationalize the most widely used Putnam social capital constructs often focus only on a few dimensions of his theory; generalized trust, shared norms and values, reciprocity, and civic engagement. These measures have been criticized for simultaneously being overly theoretically broad and limited in its measurement. In this research, I use a more recent paradigm of social capital theory that conceptualizes social capital as having several dimensions thereby enabling one to examine the possibility that different forms of social capital and cohesion have different impacts (both negative and positive) on health behaviors and well-being. This paper compares a Putnam-based social capital model as measured by the most commonly used variables based on his work against a broader, multi-dimensional model that measures social capital across several constructs and variables. I have evaluated the "expanded" multi-dimensional model and the smaller, Putnam-only model with a different dataset to examine the relationships between these dimensions of social capital and health behaviors and outcomes. Additionally, recent sociological research using this expanded approach has highlighted the important role of individual attachment to the neighborhood as an important mediator in the association between social capital and health outcomes. Using data from the Fragile Families and Child Wellbeing Study (FFCWS), a longitudinal birth cohort study of families in 20 cities with populations of 200,000 or more people, I investigated the role of social capital as measured across four dimensions, social cohesion (the Putnam-based Traditional Model), individual neighborhood attachment, and neighborhood socio-economic conditions on the likelihood of maternal smoking and alcohol use. Moreover, this multi-dimensional model was enhanced by the addition of another feature of social capital that was not extensively addressed in prior research, bridging social capital. Bridging social capital has been defined as relationships among individuals who are not alike in social identity or characteristics. In recent years, bridging social capital at times has been further refined to highlight the relationships within heterogeneous networks who do not share the same power structures and institutions, and economic spheres. This has been referred to as "linking" social capital. Additionally, sociologist Mario Small has extensively documented that importance of both weak ties (an aspect of "bridging" social capital) and organizational embeddedness in the relationship between social capital and health and well- being for residents in poor communities. This underrepresented dimension in the public health literature is addressed in this paper. In this research, I incorporated a measure of bridging social capital and organizational ties to highlight the possible role this form of social capital may play in understanding the association of social capital and health outcomes. This research extends the current literature by applying a recently developed model of social capital to the analysis of health outcomes using a different data set. The goal of this study was not only to explore smoking and alcohol use, neighborhood socioeconomic conditions, indicators of social capital (including social support, social leverage, informal social control, neighborhood organization participation, and bridging social capital), and the role of individual neighborhood attachment but also highlight the importance for public health researchers to use a multidimensional approach rather than rely on utilizing a few social capital constructs retrieved from Putnam's extensive published work. The multi-dimensional approach which broadens the lens in which researchers use to aid them in the understanding the association between social capital and health and well-being is more beneficial than a narrow focus that relies on a few social capital domains to examine this relationship. The association of these different dimensions was statistically tested through multiple logistic regression analyses which examined a hypothesized interaction effect between organizational embeddedness and social capital and its association with health outcomes and behaviors. It is hoped that this research will further advance the public health discourse regarding the association between health outcomes and social capital, measured across several dimensions and conceptualized through an access to resources and networks based lens

Adaptation of Immigrant Children to the United States: A Review of the Literature

Over the last several years, as new waves of immigrants have continued to enter the United States, the effects of immigration on the nation’s economy and society have been hotly debated. Largely ignored in the debate, however, has been the wellbeing of immigrant children. Little is known about the adaptation process that these children must navigate, or the unique health, educational, and psychosocial consequences that emerge as they learn a new culture, new community, and often, a new language. Recent research confirms that immigration results in enormous stress for children. The stress may come from leaving a familiar social context and extended family network, from entering a new place, culture, and language, or from harsh conditions endured before or during the transitional journey. Many immigrant children struggle to establish and re-establish themselves in the United States – redefining their roles within the family as well as their relationship to a new society – without the support of the strong kinship or friendship systems they had at home, and often without the fulfillment of their basic needs. For adolescent immigrants, the stress can be even more intense. Intergenerational conflict can weigh heaviest on adolescents when parents begin to notice their children’s quicker acculturation and to resent what they perceive as a rejection of the family’s own ethnic culture. These adolescents have to balance two different worlds and move fluidly between them. Experts agree that being connected and accepted is an important component of adolescent development. Children who do not connect in some meaningful way with their peers, family, or school are at an increased risk of suicide, substance abuse, school failure and drop-out, health problems, and criminal activity. In some cases, the added pressures of the acculturation process may exacerbate these risks. In particular, immigrant children may be alienated from school and rejected by their native-born peers because of their lack of fluency in English or their different cultural practices. Research has typically focused on the “problems” and “maladaptive behaviors” of immigrant children. This negative orientation contributes to the idea that individual children are to be blamed for their poor adjustment or performance and often ignores the impact of institutional racism, or more broadly, the particular socioeconomic, political, and historical contexts of the host and receiving countries. In addition to these external factors, the negative approach also tends to overlook the crucial role of ethnic peer groups, social networks, and parent-child relationships in the process of adjusting to a new environment while maintaining traditional values and beliefs. Recent studies have demonstrated that a “positivist” approach to immigration and acculturation yields important information about not only the risks but also the strengths that result from the immigration experience. For example, bicultural competence – the ability to function successfully in both family (“traditional”) and school (“mainstream”) cultures – can emerge as a result of immigrant children’s conflict. While it gives reason for optimism, the research is also clear that immigrant children have unique needs, and that schools should address these needs proactively. Many immigrant students appear to overcome their obstacles and excel academically. But what is the toll on their mental health? How are they adapting psychosocially? Often, seemingly competent students are left to manage the mental and emotional stress alone, with serious consequences for their later quality of life. Other immigrant students find the obstacles too difficult to overcome. How can struggling students be better supported so that they are both better able to learn and to adapt in the long-term? Schools, where mainstream cultural norms and values are introduced and reinforced, are often the context in which the adaptation and acculturation processes occur. While efforts have been made in the last several years to improve English acquisition and educational outcomes among immigrant children, these initiatives have only scratched the surface; they have not comprehensively supported these children as they undergo not only the usual stresses of childhood, but also the additional burden of major family transition and life change as a result of immigration. The literature suggests the need to explore individual, group, and external forces at work in the families, communities, and schools where immigrant children are finding their places and building the foundation for their futures. Efforts to design appropriate, efficient, and effective interventions to support immigrant children will depend upon a comprehensive theoretical and practical understanding of the challenges facing immigrant children, as well as careful analysis of the practices and policies that have been implemented to date.

The HST/ACS Coma Cluster Survey. II. Data Description and Source Catalogs

The Coma cluster was the target of a HST-ACS Treasury program designed for deep imaging in the F475W and F814W passbands. Although our survey was interrupted by the ACS instrument failure in 2007, the partially completed survey still covers ~50% of the core high-density region in Coma. Observations were performed for 25 fields that extend over a wide range of cluster-centric radii (~1.75 Mpc) with a total coverage area of 274 arcmin^2. The majority of the fields are located near the core region of Coma (19/25 pointings) with six additional fields in the south-west region of the cluster. In this paper we present reprocessed images and SExtractor source catalogs for our survey fields, including a detailed description of the methodology used for object detection and photometry, the subtraction of bright galaxies to measure faint underlying objects, and the use of simulations to assess the photometric accuracy and completeness of our catalogs. We also use simulations to perform aperture corrections for the SExtractor Kron magnitudes based only on the measured source flux and half-light radius. We have performed photometry for ~73,000 unique objects; one-half of our detections are brighter than the 10-sigma point-source detection limit at F814W=25.8 mag (AB). The slight majority of objects (60%) are unresolved or only marginally resolved by ACS. We estimate that Coma members are 5-10% of all source detections, which consist of a large population of unresolved objects (primarily GCs but also UCDs) and a wide variety of extended galaxies from a cD galaxy to dwarf LSB galaxies. The red sequence of Coma member galaxies has a constant slope and dispersion across 9 magnitudes (-21<M_F814W<-13). The initial data release for the HST-ACS Coma Treasury program was made available to the public in 2008 August. The images and catalogs described in this study relate to our second data release.Comment: Accepted for publication in ApJS. A high-resolution version is available at http://archdev.stsci.edu/pub/hlsp/coma/release2/PaperII.pd

Revisiting CHIP Buy-In Programs for Children

States have a long history of providing families with the option to purchase Medicaid or Children’s Health Insurance Program (CHIP) coverage for their children, but these programs have dwindled in recent years. In a February 2020 Health Affairs blog post, we review states’ experiences with buy-in programs for children, present updated information on the four remaining CHIP buy-in programs, and compare them to child-only coverage on the individual market. Properly designed, targeted, and marketed, buy-in programs could be a cost-effective way of moving toward universal coverage for children

The open innovation research landscape: established perspectives and emerging themes across different levels of analysis

This paper provides an overview of the main perspectives and themes emerging in research on open innovation (OI). The paper is the result of a collaborative process among several OI scholars – having a common basis in the recurrent Professional Development Workshop on ‘Researching Open Innovation’ at the Annual Meeting of the Academy of Management. In this paper, we present opportunities for future research on OI, organised at different levels of analysis. We discuss some of the contingencies at these different levels, and argue that future research needs to study OI – originally an organisational-level phenomenon – across multiple levels of analysis. While our integrative framework allows comparing, contrasting and integrating various perspectives at different levels of analysis, further theorising will be needed to advance OI research. On this basis, we propose some new research categories as well as questions for future research – particularly those that span across research domains that have so far developed in isolation

The state of the Martian climate

60°N was +2.0°C, relative to the 1981–2010 average value (Fig. 5.1). This marks a new high for the record. The average annual surface air temperature (SAT) anomaly for 2016 for land stations north of starting in 1900, and is a significant increase over the previous highest value of +1.2°C, which was observed in 2007, 2011, and 2015. Average global annual temperatures also showed record values in 2015 and 2016. Currently, the Arctic is warming at more than twice the rate of lower latitudes

Hundreds of variants clustered in genomic loci and biological pathways affect human height

Most common human traits and diseases have a polygenic pattern of inheritance: DNA sequence variants at many genetic loci influence the phenotype. Genome-wide association (GWA) studies have identified more than 600 variants associated with human traits, but these typically explain small fractions of phenotypic variation, raising questions about the use of further studies. Here, using 183,727 individuals, we show that hundreds of genetic variants, in at least 180 loci, influence adult height, a highly heritable and classic polygenic trait. The large number of loci reveals patterns with important implications for genetic studies of common human diseases and traits. First, the 180 loci are not random, but instead are enriched for genes that are connected in biological pathways (P = 0.016) and that underlie skeletal growth defects (P < 0.001). Second, the likely causal gene is often located near the most strongly associated variant: in 13 of 21 loci containing a known skeletal growth gene, that gene was closest to the associated variant. Third, at least 19 loci have multiple independently associated variants, suggesting that allelic heterogeneity is a frequent feature of polygenic traits, that comprehensive explorations of already-discovered loci should discover additional variants and that an appreciable fraction of associated loci may have been identified. Fourth, associated variants are enriched for likely functional effects on genes, being over-represented among variants that alter amino-acid structure of proteins and expression levels of nearby genes. Our data explain approximately 10% of the phenotypic variation in height, and we estimate that unidentified common variants of similar effect sizes would increase this figure to approximately 16% of phenotypic variation (approximately 20% of heritable variation). Although additional approaches are needed to dissect the genetic architecture of polygenic human traits fully, our findings indicate that GWA studies can identify large numbers of loci that implicate biologically relevant genes and pathways.

Genetic effects on gene expression across human tissues

Characterization of the molecular function of the human genome and its variation across individuals is essential for identifying the cellular mechanisms that underlie human genetic traits and diseases. The Genotype-Tissue Expression (GTEx) project aims to characterize variation in gene expression levels across individuals and diverse tissues of the human body, many of which are not easily accessible. Here we describe genetic effects on gene expression levels across 44 human tissues. We find that local genetic variation affects gene expression levels for the majority of genes, and we further identify inter-chromosomal genetic effects for 93 genes and 112 loci. On the basis of the identified genetic effects, we characterize patterns of tissue specificity, compare local and distal effects, and evaluate the functional properties of the genetic effects. We also demonstrate that multi-tissue, multi-individual data can be used to identify genes and pathways affected by human disease-associated variation, enabling a mechanistic interpretation of gene regulation and the genetic basis of disease.Postprint (published version