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Sexual minority women are disproportionately incarcerated and more likely to experience structural and interpersonal violence while incarcerated than heterosexual cisgender women. To build knowledge about this population and inform social work practice, theories of embodiment were used to conduct thematic analysis of five interviews with lesbian, gay, bisexual, transgender, and queer masculine-identified people who had been incarcerated in a women’s prison. This analysis explicates how participants used bodily practices to construct gender and communicate identity to themselves and others. Uniforms, prison regulations, and physical manifestations of female embodiment complicated these efforts. Participants described the ways in which they monitored and evaluated their own bodies while also managing the constant surveillance of their bodies by others. Taken together, these findings explicate the ways in which participants’ bodies were produced both through their actions and the external gaze of others. Implications for social work include exploration of language and masculinity in practice settings and suggestions for correctional policies. Findings encourage inclusion of non-binary frameworks and increased attention to the embodied self in order to expand understandings of human behaviour in the social environment. IMPLICATIONS Interpret with caution any information about gender identity surmised from intake forms and observation of clients’ bodily practices. Ask clients to describe their gender identity. Prioritise correctional policies that promote the health and safety of incarcerated people and staff over policies that enforce social norms related to gender and have no implications on security. Encourage re-entry service providers to collaborate with LGBTIQA+ organisations that provide social support to clients who identify as sexual minorities. © 2021 Australian Association of Social Workers.

Penological research has extensively documented how incarcerated men's identities are shaped by the prison setting, highlighting how these men cope with and adapt to the 'pains of imprisonment' through careful emotion management. Significantly less research has focused explicitly on the role of emotion in incarcerated men's constructions of their selves. In this article, I draw on 24 in-depth interviews with incarcerated men to reveal how the prison setting generates negative emotions (such as sadness, shame, humiliation, and anger) that in turn perpetuate the isolation that these men face. Emotions thus constitute an overlooked source of these men's social marginalization. Additionally, I draw on theoretical literature derived from symbolic interactionism (and identity theory in particular) to explore how participants cope with, and make efforts to overcome, their negative emotions by engaging in active emotion and identity work centred on constructing morality narratives of pride, self-worth, and superiority. © 2021 The Author(s) 2021. Published by Oxford University Press on behalf of the Centre for Crime and Justice Studies (ISTD). All rights reserved.

Despite the well-established link between homelessness and incarceration, very little qualitative research has focused on the social processes that underlie this nexus. In this article, I draw on 19 in-depth interviews with incarcerated men who reported pre-prison housing instability, supplemented with 5 interviews with formerly-incarcerated men experiencing homelessness, to explore the gendered nature of the homelessness-incarceration nexus. I propose the concept of “liberative instability”—defined as an unfettered lifestyle characterized by double-edged freedom and independence—to explore the changing meaning of homelessness in men’s narratives of their life course. Additionally, I explore how themes of masculinity and liberative instability are embedded in men’s narratives of freedom and confinement as they reflect on their experiences with homelessness and incarceration. These findings animate existing quantitative research by highlighting that the homelessness-incarceration nexus cannot be understood fully or disrupted without considering the significance of age-graded cultural scripts regarding masculinity. © 2021 Academy of Criminal Justice Sciences.

Background and Objectives: This study investigated the behavioral and psychological correlates of strength and balance training (SBT) participation among older African Americans. Research Design and Methods: A cross-sectional survey of 90 older African Americans (M = 66.7 ± 8.7 years; 70% female) was conducted to assess correlates of intention to undertake SBT exercises and the number of days that they currently engage in SBT. The Theory of Planned Behavior (TPB) and the threat appraisal of the Protection Motivation Theory (PMT) were used as frameworks for the analyses. Results: The intention to do SBT exercises was positively associated with favorable attitudes and subjective norm, knowledge about the benefits of SBT, and hours worked per week. The frequency of SBT participation was significantly correlated with behavioral intention, high fear of falling, and a low score on the kinesiophobia scale. Discussion and Implications: This study demonstrated the utility of the TPB and PMT's threat appraisal construct in modeling intention and number of days of SBT participation among African American older adults. The study affirmed the link between intention and behavior and between knowledge of the benefits of SBT and intention. Fear of falling's positive association with days of SBT suggests that respondents' saw SBT's efficacy in reducing falls. The unique contributions of this study are the inclusions of kinesiophobia as a correlate and multiple threat appraisals in the PMT. Health promotion interventions should consider the interrelationship among these constructs. © 2021 The Author(s) 2021. Published by Oxford University Press on behalf of The Gerontological Society of America. All rights reserved.

As unpaid family caregiving of older adults becomes increasingly prevalent, it is imperative to understand how family caregivers are socialized and how they understand the caregiving role. This PRISMA-ScR-based scoping review examines the published literature between 1995-2019 on the socialization of potential and current unpaid family caregivers of older adults. Of 4,599 publications identified, 47 were included. Three perspectives of socialization were identified: (1) role acculturation; (2) role negotiation and identification; and (3) specialized role learning. The findings show how socialization involves different contexts (e.g., cultures), imperatives for action (e.g., circumstances), socialization agents (e.g., family), processes (e.g., modeling), and internal (e.g., normalization) and external (e.g., identification) consequences for caregivers. Future research could fruitfully explore how caregivers manage key turning points within the socialization process, disengage from the caregiving role, and negotiate the socialization and individualization processes within diverse cultural and funding contexts., (C)2021Sage Publications

We apply recent developments in data-mining and statistics, using affinity propagation (AP) to identify regional typologies in the European Union (EU) and characterize major factors between rural–rural and rural–urban regional differences, without predetermined thresholds. We identify a representative ‘exemplar’ within each cluster using the drivers of Copus enriched with climate and land-cover/land-use variables to provide geographical context and pinpoint differences driven by natural and human–natural landscapes. Building upon the works of Dijkstra and the Eudora Project, we expand the dimensions of regional differences, introducing a threshold-less, data-driven model able to identify exemplars, and the main characteristics of each cluster or regional typology. © 2021 Regional Studies Association.

There is little research on effective educational experiences for deaf and hard-of-hearing (d/hh) children in Jamaica. Using a formative and design experiment framework, in this project we explored the potential efficacy of an intensive literacy camp that provided professional development for d/hh adults working in classrooms with d/hh children, and provided literacy instruction for elementary-age campers. We found that the children improved in all tested areas, and observations of d/hh adults provided evidence that with minimal training they were able to implement important facets of literacy instruction with the campers. Further research on these types of experiences and their potential for lasting impact after the camp is necessary. © 2021 International Literacy Association

The goal of this exploratory qualitative study was to determine how students with disabilities in higher education are using the Livescribe smartpen in their note-taking process and the perceived impact on their academic tasks. Based on participant interviews, many are using the Livescribe smartpen for recording class lectures while taking notes and for engaging with the content outside of the class session. All but one participant reported a perceived positive impact from the use of the Livescribe pen. The positive impacts included improved focus, higher academic outcomes, independence, and capturing complete notes. One unexpected trend that was revealed is that the majority of the participants adjusted their use of the Livescribe smartpen accommodation based on the professor’s teaching style and course structure. © 2021, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

This paper, written in honor of Professor Ed Zigler, focuses on some of the themes in developmental disabilities research that were so central to his work. It has now been nearly 80 years since Leo Kanner first identified the prototypic form – early infantile autism – of what is now autism spectrum disorder. In this article we summarize the development of the concept and the important accumulation of knowledge over time that has now led us to the recognition of a broader autism phenotype just as, at the same time, the current official diagnostic system in the USA has narrowed the concept. We also address current controversies regarding autism as the diagnosis is impacted by age and developmental factors, gender, and cultural issues. In parallel to the work on intellectual deficiency and development pioneered by Zigler and his colleagues, we summarize some of the challenges for the years ahead.

Understanding a bewildering crisis like a pandemic as 'normal' may be empowering. Copyright © 2021 Wolters Kluwer Health, Inc. All rights reserved.

Early detection of prostate cancer is critical for the success of cancer therapy. It is believed that the biochemical changes that cause the optical spectra changes would appear earlier than the histological aberration. The aim of this ex vivo study was to evaluate the ability of Stokes Shift Spectra (S3) to identify human prostate cancerous tissues from the normal. Fifteen (15) pairs of with pathologically confirmed human prostate cancerous and normal tissues underwent Stokes Shift Spectra measurements with selective wavelength interval of 40 nm. The spectra were then analyzed using machine learning (ML) algorithms to classify the two types of tissues. The ML algorithms including principal component analysis (PCA) and nonnegative matrix factorization (NMF) were used for dimension reduction and feature detection. The characteristic component spectra were used to identify the key fluorophores related to carcinogenesis. The results show that these key fluorophores within tissue, e.g., tryptophan, collagen, and NADH, have different relative concentrations between cancerous and normal tissues. A multi-class classification was performed using support vector machines (SVMs). A leave-one-out cross validation was used to evaluate the performance of the classification with the gold standard histopathological results as the ground truth. The results with high sensitivity and specificity indicate that the S3 method is effective for detecting changes of fluorophore composition in human prostate tissues due to the development of cancer. © 2021 SPIE.

Recent reports pointed out that the application of optical spectroscopy in the field of liquid biopsy has aroused great interest among researchers and demonstrated the potential of its clinical application. We report a preliminary investigation on the visible resonance Raman (VRR) spectra of human brain blood liquid collected from the scalp and around the meningeal tumor during surgery and a set of venous blood samples from healthy people and glioma grade III patients using a portable VRR-LRRTM, HR800, HR-Evolution and WITec300 Raman systems in vivo and ex vivo. The biochemical fingerprints and molecular biomarkers were found. These findings indicate that if VRR spectroscopy technology is combined with polymerase chain reaction (PCR) or genetic molecular biomarker methods (VRR-PCR), it will greatly increase the possibility for its clinical application. © 2021 SPIE.

Metastasis is the leading cause of mortalities in cancer patients due to the spreading of cancer cells to various organs. Detecting cancer and identifying its metastatic potential at the early stage is important. This may be achieved based on the quantification of the key biomolecular components within tissues and cells using recent optical spectroscopic techniques. The aim of this study was to develop a noninvasive label-free optical biopsy technique to retrieve the characteristic molecular information for detecting different metastatic potentials of prostate cancer cells. Herein we report using native fluorescence (NFL) spectroscopy along with machine learning (ML) to differentiate prostate cancer cells with different metastatic abilities. The ML algorithms including principal component analysis (PCA) and nonnegative matrix factorization (NMF) were used for dimension reduction and feature detection. The characteristic component spectra were used to identify the key biomolecules that are correlated with metastatic potentials. The relative concentrations of the molecular spectral components were retrieved and used to classify the cancer cells with different metastatic potentials. A multi-class classification was performed using support vector machines (SVMs). The NFL spectral data were collected from three prostate cancer cell lines with different levels of metastatic potentials. The key biomolecules in the prostate cancer cells were identified to be tryptophan, reduced nicotinamide adenine dinucleotide (NADH) and hypothetically lactate as well. The cancer cells with different metastatic potentials were classified with high accuracy using the relative concentrations of the key molecular components. The results suggest that the changes in the relative concentrations of these key fluorophores retrieved from NFL spectra may present potential criteria for detecting prostate cancer cells of different metastatic abilities.

We conducted speckle imaging observations of 53 stellar systems that were members of long-term radial velocity (RV) monitoring campaigns and exhibited substantial accelerations indicative of planetary or stellar companions in wide orbits. Our observations were made with blue and red filters using the Differential Speckle Survey Instrument at Gemini-South and the NN-Explore Exoplanet Stellar Speckle Imager at the WIYN telescope. The speckle imaging identifies eight luminous companions within 2" of the primary stars. In three of these systems-HD 1388, HD 87359, and HD 104304-the properties of the imaged companion are consistent with the RV measurements, suggesting that these companions may be associated with the primary and the cause of the RV variation. For all 53 stellar systems, we derive differential magnitude limits (i.e., contrast curves) from the imaging. We extend this analysis to include upper limits on companion mass in systems without imaging detections. In 25 systems, we rule out companions with masses greater than 0.2 M⊙, suggesting that the observed RV signals are caused by late-M dwarfs or substellar (potentially planetary) objects. On the other hand, the joint RV and imaging analysis almost entirely rules out planetary explanations of the RV signal for HD 19522 and suggests that the companion must have an angular separation below a few tenths of an arcsecond. This work highlights the importance of combined RV and imaging observations for characterizing the outer regions of nearby planetary systems. © 2021 Institute of Physics Publishing. All rights reserved.

We present high-resolution speckle interferometric imaging observations of TESS exoplanet host stars using the NN-EXPLORE Exoplanet and Stellar Speckle Imager instrument at the 3.5 m WIYN telescope. Eight TESS objects of interest that were originally discovered by Kepler were previously observed using the Differential Speckle Survey Instrument. Speckle observations of 186 TESS stars were carried out, and 45 (24%) likely bound companions were detected. This is approximately the number of companions we would expect to observe given the established 46% binarity rate in exoplanet host stars. For the detected binaries, the distribution of stellar mass ratio is consistent with that of the standard Raghavan distribution and may show a decrease in high-q systems as the binary separation increases. The distribution of binary orbital periods, however, is not consistent with the standard Ragahavan model, and our observations support the premise that exoplanet-hosting stars with binary companions have, in general, wider orbital separations than field binaries. We find that exoplanet-hosting binary star systems show a distribution peaking near 100 au, higher than the 40–50 au peak that is observed for field binaries. This fact led to earlier suggestions that planet formation is suppressed in close binaries.

To achieve healthy communities, addressing food insecurity (FI) is critical. This study describes a unique food distribution program combining a mobile Summer Food Service Program (SFSP) for children with a mobile pantry for adults. A survey (n = 153) of participants at six locations in New Haven Connecticut revealed that 36% reported FI and 76% were first-time pantry users. Three- quarters participated in SNAP, WIC, or both, and two-thirds had children who were fed by SFSP. Major federal programs do not eliminate FI, therefore local voluntary organizations are essential partners to address the food crisis caused by the COVID-19 pandemic.

The disproportionate impact of coronavirus disease 2019 (COVID-19) on African American communities necessitates an increased focus on the intersectional roles of racism, stigma, and other social determinants of health in influencing disease and mortality risk. The Weathering Framework is applied to demonstrate the dynamic interrelationships between these factors and to conceptualize COVID-19 as a stressful life event that will have profound health implications over the life course for African Americans. Recommendations for population health research, interventions and policies aimed at reducing COVID-19 incidence and mortality, and mitigation of the long-term impacts of the pandemic on communities of color are discussed.

Diabetes is one of the leading fatal diseases globally, putting a huge burden on the global healthcare system. Early diagnosis of diabetes is hence, of utmost importance and could save many lives. However, current techniques to determine whether a person has diabetes or has the risk of developing diabetes are primarily reliant upon clinical biomarkers. In this article, we propose a novel deep learning architecture to predict if a person has diabetes or not from a photograph of his/her retina. Using a relatively small-sized dataset, we develop a multi-stage convolutional neural network (CNN)-based model DiaNet that can reach an accuracy level of over 84% on this task, and in doing so, successfully identifies the regions on the retina images that contribute to its decision-making process, as corroborated by the medical experts in the field. This is the first study that highlights the distinguishing capability of the retinal images for diabetes patients in the Qatari population to the best of our knowledge. Comparing the performance of DiaNet against the existing clinical data-based machine learning models, we conclude that the retinal images contain sufficient information to distinguish the Qatari diabetes cohort from the control group. In addition, our study reveals that retinal images may contain prognosis markers for diabetes and other comorbidities like hypertension and ischemic heart disease. The results led us to believe that the inclusion of retinal images into the clinical setup for the diagnosis of diabetes is warranted in the near future.

An explorative survey pertaining to organization and execution of programs and events offered in public libraries across Connecticut revealed that library programs have been steadily increasing in recent years, with most libraries providing one hundred or more programs a year. The types of programs that are most popular vary throughout the library’s open hours. Children’s programming appears to be more popular during the day while adult programming is more popular in the evening. Program popularity is based on grouping and continuous support from external partners. While this study confirmed that both library space and library staff sizes are adequate for programming, a further investigation would assert that this is the case within nationwide library programming.