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Presents an inventory on three volumes of the archives of Renaissance painter Giorgio Vasari at the Beinecke Rare Book and Manuscript Library at Yale University, New Haven, Connecticut. Highlights of the archives; Document on the work of Vasari on the decoration of the cupola of Florence Cathedral in Italy; Insights on account books in the archives.

Several states had an assessment that they considered to be an alternate assessment based on modified academic achievement standards (AA-MAS) in place, or in development, when the April 2007 federal regulations on modified achievement standards were finalized. This article uses publicly available information collected by the National Center on Educational Outcomes to analyze changes in states' AA-MAS between 2007 and 2008. The article compares across the 2 years the number of states that had an assessment they considered to be an AA-MAS, states' participation guidelines, and the characteristics of these assessments. We also provide information about the number of students who participated in this assessment option during the 2006-07 school year. In 2007, six states (Kansas, Louisiana, Maryland, North Carolina, North Dakota, Oklahoma) either had or were in the process of developing an assessment they considered to be an AA-MAS. In 2008, California, Connecticut, and Texas also offered this assessment option. Six of the nine states that have been early implementers of the AA-MAS were states that had offered an out-of-level testing option until federal policies required that option to be phased out. Most states had fewer items on their AA-MAS than on their regular assessment. States that had participation guidelines for the AA-MAS in 2007 developed them prior to finalization of the federal regulations, and some changes between 2007 and 2008 in states' participation guidelines appear to have been made to better align the guidelines with the regulations. The characteristics of the assessments states consider to be AA-MASs are changing rapidly and will probably continue to change rapidly over the next few years as more is learned about the advantages and limitations of this assessment. (Contains 5 tables and 4 footnotes.)

State-based supports and services are essential to improving the quality of life of many individuals with intellectual disabilities. However, access to vital assistance is often reserved for those who satisfy the state's definition of "intellectual disability." On a national scale, Connecticut employs the most restrictive definition of intellectual disability, denying services to individuals with intensive needs simply because they have an IQ score above 69. Effectively, Connecticut quantifies the quality of life of individuals with intellectual disabilities. This Note argues that Connecticut's eligibility criteria is inconsistent with the best practices set forth by the American Association on Intellectual and Developmental Disabilities (AAIDD). In assessing intellectual disability, the AAIDD dispels of strict IQ cutoff scores and instead engages in a holistic inquiry emphasizing the individual's overall well-being. This Note calls upon the Connecticut legislature to enact a statutory amendment that will modernize Connecticut's eligibility practices, and ensure that Connecticut is meeting its imperative of providing assistance to those most in need. [ABSTRACT FROM AUTHOR]

This article describes the Early Years Summit, meetings between kindergarten and preschool educators in New Canaan, Connecticut, to improve communication and foster collaboration. Outcomes included defining the kindergarten curricula and outlining expectations for children's preschool experiences. The Summit collaboratively drafted a statement of beliefs, developed standardized transition practices, built teamwork, and further strengthened commitment to children and families. (KB)

State-based supports and services are essential to improving the quality of life of many individuals with intellectual disabilities. However, access to vital assistance is often reserved for those who satisfy the state's definition of "intellectual disability." On a national scale, Connecticut employs the most restrictive definition of intellectual disability, denying services to individuals with intensive needs simply because they have an IQ score above 69. Effectively, Connecticut quantifies the quality of life of individuals with intellectual disabilities. This Note argues that Connecticut's eligibility criteria is inconsistent with the best practices set forth by the American Association on Intellectual and Developmental Disabilities (AAIDD). In assessing intellectual disability, the AAIDD dispels of strict IQ cutoff scores and instead engages in a holistic inquiry emphasizing the individual's overall well-being. This Note calls upon the Connecticut legislature to enact a statutory amendment that will modernize Connecticut's eligibility practices, and ensure that Connecticut is meeting its imperative of providing assistance to those most in need. [ABSTRACT FROM AUTHOR]

The article reports that for many years Laura Manuelidis, a neuropathologist from Yale University has been arguing that the Creutzfeldt-Jakob disease is caused by virus. A recent paper by Manuelidis at the National Academy of Sciences shows that the debate is not over. The paper displays virus-like particles in infected cells and does not deny the prion hypothesis, it only shows that identification of disease source is difficult. Comments of many neurologists on this issue are also presented.

The design strategies for flood risk reduction in coastal towns must be informed by the likelihood of flooding resulting from both precipitation and coastal storm surge. This paper discusses various bivariate extreme value methods to investigate the joint probability of the exceedance of thresholds in both precipitation and sea level and estimate their dependence structure. We present the results of the dependence structure obtained using the observational record at Bridgeport, CT, a station with long data records representative of coastal Connecticut. Furthermore, we evaluate the dependence structure after removing the effects of harmonics in the sea level data. Through this comprehensive analysis, our study seeks to contribute to the understanding of the joint occurrence of sea level and precipitation extremes, providing insights that are crucial for effective coastal management. [ABSTRACT FROM AUTHOR]

We share our collective stories as instructors and graduate students with an interest in decolonial education on how we learned together in a course on Indigenous knowledge systems (IKS). The course occurred in the environmental studies department at a predominantly White graduate school in the Connecticut river basin in the area now known as the USA. The topic of IKS is steadily gaining interest in the environmental education (EE) field, as evidenced by an increase (albeit small) in the number of publications in peer-reviewed journals. At the same time, decolonial educators are looking for ways to teach IKS in an ethical and respectful manner. Our goal for this paper was to share how we grappled with questions around ethics and cultural appropriation. For instance, as decolonial educators who are not Indigenous to communities where we work and reside, can we facilitate lessons on IKS? If so, how can we do it in a manner that honors IKS and knowledge holders, is ethical, respectful and not appropriating? We learned that applying decolonization factors was crucial. Specifically, our work revealed four key decolonization factors: centering programs in Indigenous philosophies of education, privileging Indigenous voices and engaging Elders as experts, promoting Etuptmumk/two-eyed seeing, and employing Indigenous ways of teaching and learning. This paper makes contributions to the environmental education field, particularly decolonial educators who are seeking respectful and ethical ways to engage with Indigenous knowledge systems. [ABSTRACT FROM AUTHOR]

Purpose: Vaccine effectiveness (VE) studies are often conducted after the introduction of new vaccines to ensure they provide protection in real-world settings. Control of confounding is often needed during the analyses, which is most efficiently done through multivariable modeling. When many confounders are being considered, it can be challenging to know which variables need to be included in the final model. We propose an intuitive Bayesian model averaging (BMA) framework for this task. Patients and Methods: Data were used from a matched case–control study that aimed to assess the effectiveness of the Lyme vaccine post-licensure. Cases were residents of Connecticut, 15– 70 years of age with confirmed Lyme disease. Up to 2 healthy controls were matched to each case subject by age. All participants were interviewed, and medical records were reviewed to ascertain immunization history and evaluate potential confounders. BMA was used to systematically search for potential models and calculate the weighted average VE estimate from the top subset of models. The performance of BMA was compared to three traditional single-best-model-selection methods: two-stage selection, stepwise elimination, and the leaps and bounds algorithm. Results: The analysis included 358 cases and 554 matched controls. VE ranged between 56% and 73% and 95% confidence intervals crossed zero in < 5% of all candidate models. Averaging across the top 15 models, the BMA VE was 69% (95% CI: 18– 88%). The two-stage, stepwise, and leaps and bounds algorithm yielded VE of 71% (95% CI: 21– 90%), 73% (95% CI: 26– 90%), and 74% (95% CI: 27– 91%), respectively. Conclusion: This paper highlights how the BMA framework can be used to generate transparent and robust estimates of VE. The BMA-derived VE and confidence intervals were similar to those estimated using traditional methods. However, by incorporating model uncertainty into the parameter estimation, BMA can lend additional rigor and credibility to a well-designed study. [ABSTRACT FROM AUTHOR]

The COVID-19 pandemic highlighted the weaknesses of the U.S. national food system, with grocery store shelves emptied in March and April 2020 and COVID outbreaks reported throughout the summer of 2020 at meat processing plants across the country. Fleetingly, Americans turned to local farms to ensure they could access food safely in a time of uncertainty. This paper examines the economies of community that formed around local farms and how direct engagements between consumers and producers in the face of the pandemic deepened these economic structures that often put community well-being above profits. Within a capitalist system that prioritizes efficient mass production, economies of community illustrate that solidarity can improve local food system resilience. Based on qualitative and quantitative research carried out in the summer of 2020 in New London County in southeastern Connecticut, this research draws on ethnographic interviews with small-scale farmers who developed innovative ways to feed some of their community's most vulnerable members. Community economies show that we should not only depend on standardized large-scale farms and giant retail distribution; the American food system needs to continue to cultivate smallscale local production in order to improve resilience and food access. At present, the sustainability of producing and distributing food occurs at the farmer's expense. The government needs to support local food producers so they can continue to play an integral part in community well-being. [ABSTRACT FROM AUTHOR]

The desire for students to graduate with more than basic skills has fueled interest in performance assessment methods such as essay writing, group science experiments, or portfolio preparation. Officials in Vermont, California, Kentucky, Maryland, and other states are betting that performance assessments may prove as powerful a classroom influence as paper-and-pencil testing used to be. (MLH)

There can be no doubt of the prestige possessed by quantitative methods in the minds of social scientists of the present generation. It is the purpose of this article to point the inevitable subjectivism of a certain type of so-called measurement, and to present a partially developed technique for determining the extent of variations among separate investigators who attempt to measure the same material. This technique relates, that is, to the problem of verification, and permits the calculation of a coefficient which will throw some light on the validity of the measurements. As illustrative of the field of inquiry to which the argument relates, researchers have conducted an experiment in the measurement of newspaper content, employing the methods developed by Professor Malcolm M. Willey in his noteworthy study of the country press in Connecticut. He has made every effort to achieve objectivity and he has covered an extensive range of newspaper material. Professor Willey's method is simple in its main outlines. He classifies all printed matter exclusive of advertisements in the papers analyzed, placing each news item in a single category. The system of categories that he has developed contains ten major headings and minor or subcategories into which the content of any newspaper may presumedly be fitted.

In 2020, Connecticut became the first U.S. state to require all public high schools to offer Black and Latinx studies. This monumental decision has raised a fair amount of concern over what constitutes effective and conscionable teaching practices for Black and Latinx studies at the classroom level. In this paper, I propose several teaching strategies, all grounded in critical, dialectical, and responsive theories of pedagogical praxis. I deliberate on the strengths and potential weaknesses of each approach with equal attention, and at the end of each section I offer some examples of how these strategies can be applied in the classroom. I conclude by restating how important Black and Latinx studies are in facilitating the reimagining of educational practice and classroom pedagogies throughout Connecticut. [ABSTRACT FROM AUTHOR]

Background: Although Good Samaritan laws (GSLs) have been widely adopted throughout the United States, their efficacy in individual states is often unknown. This paper offers an approach for assessing the impact of GSLs and insight for policy-makers and public health officials who wish to know whether they should expect to see outcomes from similar policy interventions.Methods: Utilizing a system dynamics (SD) modeling approach, the research team conducted a policy evaluation to determine the impact of GSLs on opioid use disorder (OUD) in Connecticut and evaluated the GSL based upon the following health outcomes: (1) emergency department (ED) visits for overdose, (2) behavioral changes of bystanders, and (3) overdose deaths.Results: The simulation model suggests that Connecticut's GSL has not yet affected overdose deaths but has resulted in bystander behavioral changes, such as increased 911 calls for overdose. ED visits have increased as the number of opioid users has increased.Conclusions: The simulation results indicate that the number of opioid-related deaths will continue to increase and that the GSL alone cannot effectively control the crisis. However, the SD approach that was used will allow policymakers to evaluate the effectiveness of the GSL over time using a simulation framework. This SD model demonstrates great potential by producing simulations that allow policymakers to assess multiple strategies for combating the opioid crisis and select optimal public health interventions. [ABSTRACT FROM AUTHOR]

This paper estimates a dynamic model of price level, school performance, and school racial and ethnic composition in the State of Connecticut. The paper finds that increasing minority representation in a Labor Market Area reinforces the existing pattern of school segregation. Changes in segregation appear to be influenced by demographic trends in urban areas and by the labour market factors that determine those trends. There is no evidence, however, to suggest that this process affects housing prices; rather, the housing market appears to adjust relatively quickly. [ABSTRACT FROM AUTHOR]

To support public health policymakers in Connecticut, we developed a flexible county-structured compartmental SEIR-type model of SARS-CoV-2 transmission and COVID-19 disease progression. Our goals were to provide projections of infections, hospitalizations, and deaths, and estimates of important features of disease transmission and clinical progression. In this paper, we outline the model design, implementation and calibration, and describe how projections and estimates were used to meet the changing requirements of policymakers and officials in Connecticut from March 2020 to February 2021. The approach takes advantage of our unique access to Connecticut public health surveillance and hospital data and our direct connection to state officials and policymakers. We calibrated this model to data on deaths and hospitalizations and developed a novel measure of close interpersonal contact frequency to capture changes in transmission risk over time and used multiple local data sources to infer dynamics of time-varying model inputs. Estimated epidemiologic features of the COVID-19 epidemic in Connecticut include the effective reproduction number, cumulative incidence of infection, infection hospitalization and fatality ratios, and the case detection ratio. We conclude with a discussion of the limitations inherent in predicting uncertain epidemic trajectories and lessons learned from one year of providing COVID-19 projections in Connecticut. [ABSTRACT FROM AUTHOR]

After being sued for inequity and inadequacy in school funding, many states in the US have reformed their education aid formulas but have still faced many criticisms. Using Connecticut as an example, this paper shows how to design a more equitable and adequate aid formula with tools to win broad support from communities and lawmakers. It develops a measure of the gap between education cost and revenue capacity as an indicator for each district's need for state aid. Both education cost and revenue capacity are estimated using school district characteristics that are outside the direct control of local officials at any given point in time. This paper shows that Connecticut school districts have a wide range of cost-capacity gaps, due to disparities in cost factors and property tax base, and therefore have different needs for state aid. While larger-gap districts, on average, received more state aid per pupil than smaller-gap districts, many districts --especially the largest-gap ones-- received less aid than they needed to close their cost-capacity gaps. Further analysis suggests that inadequate school funding could have a negative impact on student test performance. As a potential solution, this paper proposes a gap-based formula to allocate state aid and includes tools to make the formula more attractive to a wide range of school districts. The policy simulations show that the gap-based formulas can align aid with the gaps better than the existing formula does. However, applying tools to increase the formula's attractiveness to small-gap districts would compromise the ability of state aid to eliminate inequity and inadequacy and would often require a larger state aid pool. This paper expands the academic community's knowledge about the US education equity and adequacy by examining Connecticut's school funding for the first time under the regression-based cost-capacity gap approach. This analysis can be relevant and useful for other states facing similar issues, as it provides a practical, step-by-step roadmap how to apply the sufficiently general research method and formula design to an individual state.

We do not learn through experiences alone; we learn by thinking about our experiences. But after disappointing exam results, students can reflect on their performance in unproductive ways, circulating scripted beliefs about why they did poorly: "The professor talks too fast," "The test didn't cover the lectures in class," "I'm not smart enough." At Quinnipiac University, a supplemental instructor used accessible data to guide her first-year Biology students through a process of compelling metacognitive reflection after their tests so that the students could be less reactionary and more proactive in facing subsequent exams. This qualitative case study examines theory and practice regarding this step-by-step method, which can be readily implemented in a variety of college-level programs invested in academic success. [Paper presented at the Northeast Regional Supplemental Instruction (NERSI) Conference (Lowell, MA, Mar 22, 2019).]

This article introduces the Connecticut Blue Heritage Trail, an interdisciplinary public outreach project conceived by Maritime Studies Program faculty at the University of Connecticut. The Blue Heritage Trail focuses on human connections to Connecticut's marine environments, maritime economy, culture, and heritage, and aims to increase ocean literacy through free-choice learning. The project benefits from partnerships and collaborations with local outreach organizations, academic institutions, and historical societies, and encourages public engagement to promote a deeper understanding of ocean literacy and ocean stewardship. Beebe Pond Park and Mamacoke Conservation Area are examined in this paper in order to highlight the ubiquitous connections found between Connecticut's maritime communities and geographical locations, and to illustrate the Ocean Literacy principle that "the ocean and humans are inextricably interconnected." Facilitating the public understanding of this interconnectivity reinforces the importance of the ocean's impact on individuals and communities and encourages engaged conversations and increased conservation efforts. [ABSTRACT FROM AUTHOR]

The collapse of the L'Ambiance Plaza building, under construction in Bridgeport, Conn., in 1987, killed 28 construction workers. A number of concurrent investigations were undertaken to attempt to determine the cause. At least six separate theories were developed. However, a prompt legal settlement kept these investigations from being completed. This paper reviews the collapse and discusses the competing theories. The failure focused controversy on the safety of the lift-slab construction method. Because there is a need in civil engineering education for case studies to illustrate ethical and professional issues as well as technical principles, this paper also addresses these aspects. Ways for civil engineering educators to use this case study to address these issues also are discussed. [ABSTRACT FROM AUTHOR]

Background: Since the 1970s, the dominant model for U.S. federal housing policy has shifted from unit-based programs to tenant-based vouchers and certificates. Because housing vouchers allow recipients to move to apartments and neighborhoods of their choice, such programs were designed to improve the ability of poor families to move into neighborhoods with less concentrated poverty. However, little research has examined whether housing voucher recipients live in less distressed neighborhoods than those without housing vouchers. There is much reason to believe that drug users may not be able to access or keep federal housing subsidies due to difficulties drug users, many of whom may have criminal histories and poor credit records, may have in obtaining free market rental housing. In response to these difficulties, permanent supportive housing was designed for those who are chronically homeless with one or more disabling condition, including substance use disorders. Little research has examined whether residents of permanent supportive housing units live in more or less economically distressed neighborhoods compared to low-income renters.Methods: This paper uses survey data from 337 low-income residents of Hartford, CT and geospatial analysis to determine whether low-income residents who receive housing subsidies and supportive housing live in neighborhoods with less concentrated poverty than those who do not. We also examine the relationships between receiving housing subsidies or supportive housing and housing satisfaction. Finally, we look at the moderating effects of drug use and race on level of neighborhood distress and housing satisfaction.Results: Results show that low-income residents who receive housing subsidies or supportive housing were not more or less likely to live in neighborhoods with high levels of distress, although Black residents with housing subsidies lived in more distressed neighborhoods. Regarding housing satisfaction, those with housing subsidies perceived significantly more choice in where they were living while those in supportive housing perceived less choice. In addition, those with rental subsidies or supportive housing reported living closer to needed services, unless they also reported heavy drug use.Conclusions: Housing subsidies and supportive housing have little impact on the level of neighborhood distress in which recipients live, but some effects on housing satisfaction. [ABSTRACT FROM AUTHOR]

The article offers information on bryologist and ecologist George Elwood Nichols. It mentions that Nichols was born at Southington, Connecticut, on April 12, 1882 and died at New Haven, Connecticut on June 20, 1939. It describes Nichols' educational achievements at Yale University, New Haven, Connecticut from where he earned his doctorate in botany. It informs about the posts held by Nichols including the Chairmanship of the Department of Botany, Yale University and the Directorship of the Botanical Gardens. It also states that Nichols was an active member of many scientific societies in the United States, including Sigma Xi and published about 25 papers on bryology.

The article offers updates within the Polanyi Society. Funding assistance may be made available for those interested to attend the Polanyi Society's meetings. The Yale Divinity School Library in New Haven, Connecticut will acquire a collection of paper by university professor William Poteat made available for future research. Updates on the periodical "Appraisal: The Journal of the Society for Post-Critical Philosophy and Personalist Studies," are also presented.

This paper improves upon an existing extreme precipitation monitoring system that is based on the Tropical Rainfall Measuring Mission (TRMM)daily product (3B42) using new statistical models. The proposed system utilizes a regional modeling approach in which data from similar locations are pooled to increase the quality of the resulting model parameter estimates to compensate for the short data record. The regional analysis is divided into two stages. First, the region defined by the TRMM measurements is partitioned into approximately 28 000 nonoverlapping clusters using a recursive k-means clustering scheme. Next, a statistical model is used characterize the extreme precipitation events occurring in each cluster. Instead of applying the block maxima approach used in the existing system, in which the generalized extreme value probability distribution is fit to the annual precipitation maxima at each site separately, the present work adopts the peak-over-threshold method of classifying points as extreme if they exceed a prespecified threshold. Theoretical considerations motivate using the point process framework for modeling extremes. The fitted parameters are used to estimate trends and to construct simple and intuitive average recurrence interval (ARI) maps that reveal how rare a particular precipitation event is. This information could be used by policy makers for disaster monitoring and prevention. The new method eliminates much of the noise that was produced by the existing models because of a short data record, producing more reasonable ARI maps when compared with NOAA's long-term Climate Prediction Center ground-based observations. Furthermore, the proposed method can be applied to other extreme climate records. [ABSTRACT FROM AUTHOR]

Hurricane Sandy (2012, referred to as Current Sandy) was among the most devastating storms to impact Connecticut's overhead electric distribution network, resulting in over 15 000 outage locations that affected more than 500 000 customers. In this paper, the severity of tree-caused outages in Connecticut is estimated under future-climate Hurricane Sandy simulations, each exhibiting strengthened winds and heavier rain accumulation over the study area from large-scale thermodynamic changes in the atmosphere and track changes in the year~2100 (referred to as Future Sandy). Three machine-learning models used five weather simulations and the ensemble mean of Current and Future Sandy, along with land-use and overhead utility infrastructure data, to predict the severity and spatial distribution of outages across the Eversource Energy service territory in Connecticut. To assess the influence of increased precipitation from Future Sandy, two approaches were compared: an outage model fit with a full set of variables accounting for both wind and precipitation, and a reduced set with only wind. Future Sandy displayed an outage increase of 42%-64% when using the ensemble of WRF simulations fit with three different outage prediction models. This study is a proof of concept for the assessment of increased outage risk resulting from potential changes in tropical cyclone intensity associated with late-century thermodynamic changes driven by the IPCC AR4 A2 emissions scenario. [ABSTRACT FROM AUTHOR]

A regional watershed model was developed for watersheds contributing to Long Island Sound, including the Connecticut River basin. The study region covers approximately 40 900 km2, extending from a moderate coastal climate zone in the south to a mountainous northern New England climate zone dominated by snowmelt in the north. The input data indicate that precipitation and temperature have been increasing for the last 46 years (1961-2006) across the region. Minimum temperature has increased more than maximum temperature over the same period (1961-2006). The model simulation indicates that there was an upward trend in groundwater recharge across most of the modeled region. However, trends in increasing precipitation and groundwater recharge are not significant at the 0.05 level if the drought of 1961-67 is removed from the time series. The trend in simulated snowfall is not significant across much of the region, although there is a significant downward trend in southeast Connecticut and in central Massachusetts. To simulate future trends, two input datasets, one assuming high carbon emissions and one assuming low carbon emissions, were developed from GCM forecasts. Under both of the carbon emission scenarios, simulations indicate that historical trends will continue, with increases in groundwater recharge over much of the region and substantial snowfall decreases across Massachusetts, Connecticut, southern Vermont, and southern New Hampshire. The increases in groundwater recharge and decreases in snowfall are most pronounced for the high emission scenario. [ABSTRACT FROM AUTHOR]

Katherine Harrison could not have personally known anyone as feared and hated in their own home town as she was in Wethersfield. This article aims to explain how and why this was so. Although documentation is scarce for many witch trials, there are some for which much crucial information has survived, and we can reconstruct reasonably detailed accounts of what went on. The trial of Katherine Harrison of Wethersfield, Connecticut, at the end of the 1660s is one such case. An array of factors coalesced at the right time in Wethersfield for Katherine to be accused. Her self-proclaimed magical abilities, her socioeconomic background, and most of all, the inter-personal and legal conflicts that she sustained with her neighbours all combined to propel this woman into a very public discussion about witchcraft in 1668-1670. The trial of Katherine Harrison was a vital moment in the development of the legal and theological responses to witchcraft in colonial New England. The outcome was the result of a lengthy process jointly negotiated between legal and religious authorities. This was the earliest documented case in which New England magistrates trying witchcraft sought and received explicit instruction from Puritan ministers on the validity of spectral evidence and the interface between folk magic and witchcraft -- implications that still resonated at the more recognised Salem witch trials almost twenty-five years later. The case also reveals the social dynamics that caused much ambiguity and confusion in this early modern village about an acceptable use of the occult. Finally, it is a striking example of an early modern accused witch whose circumstances coincided with many of the culpable aspects of the witch stereotype -- female, widowed, financially ambiguous, socially arbitrary, and self-assured to the point of combative -- who was not convicted, but who survived, due in no small part to a clergy and magistrate that intervened to effectively save her life. [ABSTRACT FROM AUTHOR]

There is ongoing argument about the potency of chrysotile asbestos to cause malignant mesothelioma. Risk assessment for chrysotile is influenced by the alleged absence of mesotheliomas among workers at the Raybestos Manhattan friction products plant in Connecticut, a plant that essentially used only chrysotile asbestos. Regrettably, the statement that there is an absence of mesothelioma deaths in the Connecticut plant is false. In this paper, we report on our review of the work histories and pathological reports of five individuals from the Connecticut plant who were diagnosed with mesothelioma. We discuss the Connecticut plant in relation to the most recent epidemiological information for chrysotile. Calculation suggests that mesothelioma rates at this plant were similar to those observed among Quebec miners and the South Carolina textile plant. We urge everyone concerned with the risk assessment of chrysotile asbestos to make use of all available data. [ABSTRACT FROM AUTHOR]

Many manage risks of urban violence through constructing of no-go areas--not so the residents there. How do they manage risks of violence? This paper approaches this question through the concepts of risk and (dis)trust of Sztompka (1999) and within a framework of disadvantage in a 'matrix of oppression' (Collin 2000). Based on ethnography, the paper asks how people experience risks of 'street violence' and 'personal violence', how they manage them, and how their discourses about it relate to institutional discourses of how to solve problems of violence. I show that violence is being accepted and rejected in their specific relation to identity enhancement and respect within a context of intersecting forms of oppression along lines of race, class and gender. Through a discourse of fate, residents tell that violence concerns the wider context of stigmatization and exclusion--which does not match with the approach of local institutions. [ABSTRACT FROM AUTHOR]

Background: Much research has shown that the homeless have higher rates of substance abuse problems than housed populations and that substance abuse increases individuals' vulnerability to homelessness. However, the effects of housing policies on drug users' access to housing have been understudied to date. This paper will look at the "unofficial" housing policies that affect drug users' access to housing. Methods: Qualitative interviews were conducted with 65 active users of heroin and cocaine at baseline, 3 and 6 months. Participants were purposively sampled to reflect a variety of housing statuses including homeless on the streets, in shelters, "doubled-up" with family or friends, or permanently housed in subsidized, unsubsidized or supportive housing. Key informant interviews and two focus group interviews were conducted with 15 housing caseworkers. Data were analyzed to explore the processes by which drug users receive information about different housing subsidies and welfare benefits, and their experiences in applying for these. Results: A number of unofficial policy mechanisms limit drug users' access to housing, information and services, including limited outreach to non-shelter using homeless regarding housing programs, service provider priorities, and service provider discretion in processing applications and providing services. Conclusion: Unofficial policy, i.e. the mechanisms used by caseworkers to ration scarce housing resources, is as important as official housing policies in limiting drug users' access to housing. Drug users' descriptions of their experiences working with caseworkers to obtain permanent, affordable housing, provide insights as to how access to supportive and subsidized housing can be improved for this population. [ABSTRACT FROM AUTHOR]

Following in the spirit of the Leviathan hypothesis, this paper empirically examines how the degree of local government market power influences efficiency in the local public sector. Market power is measured by the number and relative size distribution of similar government units in the same market area. To avoid confusing market power with the comparative efficiency or superiority of larger sized organizations, the relative size distribution of the individual government unit is held constant in the empirical analysis. In the empirical test, aggregate property values serve as the measure of efficiency. The empirical results suggest that aggregate property values are lower and thus efficiency suffers, in more concentrated municipal market areas, ceteris paribus, thus providing some evidence for Leviathan-type governments in Connecticut. [ABSTRACT FROM AUTHOR]

This paper uses unique data from the state of Connecticut to examine discounting patterns in the state's hospital industry for the years following deregulation (1995-1998). The data provide a rare opportunity to study payer-level differences in negotiated discounts for hospital services. In addition to presenting descriptive evidence on how discounts vary across payers, payer types and hospital types, this study uses matched revenue data to analyze and empirically estimate the economic determinants of discount magnitudes. Payer size appears to affect bargaining power, but the economic significance of the effect is small. Much larger than the effect of payer size is the influence of payers' abilities to ‘move market share’ by channeling patients to hospitals with which favorable discounts have been negotiated. [ABSTRACT FROM AUTHOR]

This paper combines an established revealed-preference method, discrete-choice hedonic analysis, and a relatively new stated-reference method, choice-based conjoint analysis, in order to estimate more accurately the aesthetic benefits generated by the presence and quality of environmental amenities associated with residential locations. It applies the combined approach to the housing market of Fairfield, Connecticut, which contains several environmental amenities and is experiencing an improvement in the quality of its coastal wetlands due to active restoration efforts. [ABSTRACT FROM AUTHOR]

Alcohol-associated liver disease is currently the leading cause of liver transplantation and liver deaths both in Europe and the United States. Efficacious treatments exist for alcohol use disorder, but they are seldomly prescribed for patients who need them. Besides, the presence of liver cirrhosis can complicate pharmacological treatment choices. In this review, we discuss established and innovative treatment strategies to treat unhealthy alcohol use in patients with alcohol-associated liver disease. We also describe the experience of our own institutions, Hospital Universitari Germans Trias i Pujol in Badalona (Spain) and Yale-New Haven Health and Yale Medicine (Connecticut. United States of America). [ABSTRACT FROM AUTHOR]

Introduction: The United States is currently facing an opioid overdose crisis. Research suggests that multiple interventions are needed to reduce overdose deaths including increasing access and retention to medications to treat opioid use disorders (MOUD, i.e., methadone, buprenorphine, and naltrexone) and increasing the distribution and use of naloxone, a medication that can reverse the respiratory depression that occurs during opioid overdoses. However, barriers to MOUD initiation and retention persist and discontinuations of MOUD carry a heightened risk of overdose. Many times, MOUD is not sought as a first line of treatment by people with opioid use disorder (OUD), many of whom seek treatment from medically managed withdrawal (detox) programs. Among those who do initiate MOUD, retention is generally low. The present study examines the treatment experiences of people who use opioids in three states, Connecticut, Kentucky, and Wisconsin. Methods: We conducted in-depth interviews with people who use opioids in a rural, urban, and suburban area of three states: Connecticut, Kentucky and Wisconsin. Data analysis was collaborative and key themes were identified through multiple readings, coding of transcripts and discussion with all research team members. Results: Results reveal a number of systemic issues that reduce the likelihood that people initiate and are retained on MOUD including the ubiquity of detox as a first step in drug treatment, abstinence requirements and requiring patients to attend group treatment. MOUD-related stigma was a significant factor in the kinds of treatment participants chose and their experiences in treatment. Conclusions: Interventions to reduce MOUD stigma are needed to encourage MOUD as a first course of treatment. Eliminating abstinence-based rules for MOUD treatment may improve treatment retention and decrease overdose risk. [ABSTRACT FROM AUTHOR]

The article provides updates related to the Polanyi Society. The March 2009 issue of the "Appraisal: The Journal of the Society for Post-Critical Philosophy and Personalist Studies," will include several articles authored by Maben Poirier, Bob Doede, and Wendy Hamblet. The Yale Divinity School Library establishes a collection of William Poteat's papers. The web site for the Polanyi Society is http://www.missouriwestern.edu/orgs/polanyi.

• Crash prediction by injury severity and vehicle damage was conducted and compared. • Multivariate Poisson-Lognormal (MVPLN) models were estimated. • Joint Negative Binomial-Generalized Ordered Probit Fractional Split (NB-GOPFS) models were estimated. • Unobserved heterogeneity was accommodated by both models. • A surrogate measure for injury severity was evaluated. Introduction: Predicting crash counts by severity plays a dominant role in identifying roadway sites that experience overrepresented crashes, or an increase in the potential for crashes with higher severity levels. Valid and reliable methodologies for predicting highway accidents by severity are necessary in assessing contributing factors to severe highway crashes, and assisting the practitioners in allocating safety improvement resources. Methods: This paper uses urban and suburban intersection data in Connecticut, along with two sophisticated modeling approaches, i.e. a Multivariate Poisson-Lognormal (MVPLN) model and a Joint Negative Binomial-Generalized Ordered Probit Fractional Split (NB-GOPFS) model to assess the methodological rationality and accuracy by accommodating for the unobserved factors in predicting crash counts by severity level. Furthermore, crash prediction models based on vehicle damage level are estimated using the same two methodologies to supplement the injury severity in estimating crashes by severity when the sample mean of severe injury crashes (e.g., fatal crashes) is very low. Results: The model estimation results highlight the presence of correlations of crash counts among severity levels, as well as the crash counts in total and crash proportions by different severity levels. A comparison of results indicates that injury severity and vehicle damage are highly consistent. Conclusions: Crash severity counts are significantly correlated and should be accommodated in crash prediction models. Practical application: The findings of this research could help select sound and reliable methodologies for predicting highway accidents by injury severity. When crash data samples have challenges associated with the low observed sampling rates for severe injury crashes, this research also confirmed that vehicle damage can be appropriate as an alternative to injury severity in crash prediction by severity. [ABSTRACT FROM AUTHOR]

The Affordable Care Act (ACA) provides new but limited opportunities to promote or fund specialized transportation services for older people and adults with disabilities. This paper explains how states can use these largely untapped options to expand services for targeted low-income populations with mobility needs. It also presents two case studies illustrating how the Atlanta region and the state of Connecticut are making this work. [ABSTRACT FROM AUTHOR]

This article is based on modeling studies conducted in response to requests from Yale University, the Yale New Haven Hospital, and the State of Connecticut during the early weeks of the SARS-CoV-2 outbreak. Much of this work relied on scratch modeling, that is, models created from scratch in real time. Applications included recommending event crowd-size restrictions, hospital surge planning, timing decisions (when to stop and possibly restart university activities), and scenario analyses to assess the impacts of alternative interventions, among other problems. This paper documents the problems faced, models developed, and advice offered during real-time response to the COVID-19 crisis at the local level. Results include a simple formula for the maximum size of an event that ensures no infected persons are present with 99% probability; the determination that existing intensive care unit (ICU) capacity was insufficient for COVID-19 arrivals, which led to creating a large dedicated COVID-19–negative pressure ICU; and a new epidemic model that showed the infeasibility of the university hosting normal spring and summer events, that lockdown-like stay-at-home and social distancing restrictions without additional public health action would only delay transmission and enable a rebound after restrictions are lifted, and that aggressive community screening to rapidly detect and isolate infected persons could end the outbreak. [ABSTRACT FROM AUTHOR]

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Thermal refuges provide critical habitat for cold‐water‐dependent salmonids in marginal riverscapes during extreme heat events globally. Studies of thermal refuge use by salmonids are complicated by short‐term changes in weather conditions during heat waves, intermittent fish use, and the use of different analytical endpoints. We passively surveyed cold‐water‐dependent brown, rainbow, and brook trout (hereafter "trout") thermoregulating in several thermal refuges along the Housatonic River, Connecticut, USA, during a two‐week heatwave using underwater action cameras (UACs). Using these data, we assessed the influence of various short‐term riverscape conditions on the abundance of trout within thermal refuges using a zero‐inflated Poisson, time‐stratified N‐mixture model in a Bayesian framework that accounts for imperfect detection. We detected at least one trout per sampling occasion, and estimated abundances summed across all thermal refuges ranged from 63.99 (95% credible interval [CRI] = 55.0–79.0) to 182.04 (167.0–199.0). We estimated higher trout abundances in larger thermal refuges located in low‐gradient river sections, and refuges that were deeper and cooler than the Housatonic River during the sampling occasion (all β estimates >0.0 and did not overlap zero). We also found evidence that less variable and cooler temperature regimes in the nearby Housatonic River led to higher estimated trout abundances within thermal refuges (all β estimates <0.0 and did not overlap zero). Last, we found that trout detection probabilities within thermal refuges were moderate (range = 0.521–0.634) when using UAC surveys and that the video image brightness negatively influenced detection (αbright = −0.193, 95% CRI = −0.330 to −0.058). To aid in trout population persistence in dynamic, marginal riverscapes as the climate changes, focusing on modifiable refuge attributes (e.g., depth, cold‐water plume area), and strategically targeting refuges in riverscape segments beneficial to trout may be tactics that could enhance conservation strategies globally. [ABSTRACT FROM AUTHOR]

Background: The experiences and perceived support needs of harm reduction workers in the USA have been understudied. While previous research has explored staff burnout and role-related stress, there is a research gap around potential supports for staff wellbeing and individual longevity in their roles. This is especially critical given the growing overdose crisis and the need for sustainable harm reduction programming. Thus, we sought to describe the experiences of harm reduction staff and identify the perceived support that could empower harm reduction staff to successfully navigate their roles. Methods: Purposive sampling methods were used to recruit harm reduction staff working in Connecticut. Seventeen semi-structured, one-on-one interviews were conducted between December 2022 and March 2023. Participants were asked about their experiences with role-related stressors and supports. Informed by the Social-Ecological Model, transcripts were coded using both inductive and deductive codes, and themes were developed using thematic analysis approaches. Results: Study participants described their experiences working in harm reduction and the numerous ways they already are or could be receiving support in their roles. These experiences were organized into eight themes according to the levels of the Social-Ecological Model. At the individual level, participants explained that support could help them navigate the variability of the physical environment, boundary setting, and self-care. Relationships between clients and co-workers were both identified as means of support at the interpersonal level, helping participants navigate difficult situations and feelings of stress. At the organizational level, study participants explained how they look to their organization to provide sufficient support by way of training, staffing, compensation, and benefits. Additionally, participants stressed the importance of having supervisors who valued their work and provided emotional support. Lastly, at the community level, participants discussed how support was needed to help them navigate complex systems while working with a stigmatized population in an often-stigmatized field. Conclusions: To best support harm reduction staff in their day-to-day roles, our findings underscore the need for support on multiple levels. Future research could explore how the provision of support to harm reduction staff impacts not only staff perceptions of support but also the success of clients accessing harm reduction services. [ABSTRACT FROM AUTHOR]

Brownfield redevelopment projects are often perceived as more risky than greenfield investment, and financing opportunities may be more limited and expensive. Different financial support projects have been developed to support regeneration projects, and empirical evidence has shown that all buildings near the intervention area may benefit from an increase in prices once the brownfield project is complete. The article considers the Connecticut market and evaluates the characteristics of the brownfield projects that had access to a financial support program (loan or grant), the impact of the regeneration process on the liquidity of the housing market, and the gap between the price and the appraisal value of the residential unit. Target areas for this type of financing program are mainly characterized by low income, a high density of population, a high incidence of homeowners, and a high crime rate. Once completed, the brownfield requalification has an impact on the housing market because the brownfield recovery reduces the number of house sales due to the increase in the average price in the surrounding area and makes the selling price more consistent with the appraisal valuation. The empirical evidence provided may be useful for public institutions that are suffering from budget constraints and have to prioritize areas for financial support solutions. [ABSTRACT FROM AUTHOR]

Objectives: Under the Ticket to Work and Work Incentives Improvement Act (PL 106-170), states may extend Medicaid Buy-In coverage to a medically improved group. Improved group coverage allows adults with disabilities to retain Medicaid coverage even once they lose disability status due to medical improvement, as long as they retain the original medical impairment. The goal of this paper is to describe who participated, the patterns of their participation, and employment outcomes. Methods: The study population consists of all individuals (n=315) who participated in medically improved group coverage 2002-2009 in the seven states with coverage by 2009 (Arizona, Connecticut, Kansas, New York, North Carolina, Pennsylvania, and West Virginia). Linked data from state Medicaid Buy-In finder files and Social Security Administration Ticket Research and Master Earnings Files were used to describe improved group participants and their patterns of enrollment. Results: Although enrollment has been limited, with 255 participants in 2009, it has doubled annually on average with little churning and drop-out. Participants' earnings grew nearly 200 dollars per month after two years, likely reflecting increased work hours and/or higher pay rates. Conclusions: Improved group participants represent an unusually successful group of individuals with disabilities, many of whom have recently moved off Social Security cash benefit rolls or who were diverted from them. Specifics of insurance eligibility and coverage for improved group participants are uncertain under the Affordable Care Act. The challenge remains to provide a pathway for adults with disabilities to increase work and assets without loss of adequate health insurance. [ABSTRACT FROM AUTHOR]

Minority students and students with disabilities are disciplined disproportionately from their peers. Discipline has led to many negative consequences in the lives of youth in the United States, including the school-to-prison pipeline. In 2014, the U.S. Department of Education issued guidance encouraging school districts to develop policies that seek alternatives to exclusionary penalties. Some states, including the State of Illinois, have been proactive in revamping the state's discipline. In this paper, we will examine how the states are responding to the school-to-prison pipeline and the other negative effects of exclusions and suspensions. Additionally, this paper will examine the implementation of Illinois Senate Bill 100, from an administrator's point of view, to make recommendations for disciplinary strategies and possible policy revisions.

Smoky winged beetle bandits, Cerceris fumipennis Say, digger wasps in the family Hymenoptera: Crabronidae: Cercerini, provision their underground nests with adult metallic wood-boring beetles (Coleoptera: Buprestidae). Researchers, as well as engaged community volunteers, in several states have monitored female wasps returning to their nests as a means to detect invasive buprestid species. In this paper, we report the first detection of emerald ash borer (Agrilus planipennis Fairemore), an invasive beetle responsible for killing millions of ash trees in North America, in Connecticut by C. fumipennis and discuss its relationship to A. planipennis survey efforts by other modalities in the state. We also report detections of A. planipennis by C. fumipennis in Illinois, New York and Ontario; all of which were made after it was known the beetle was in the area. These findings support the use of C. fumipennis as a biomonitoring tool and bolster the use of engaged volunteers. [ABSTRACT FROM AUTHOR]