Nurturing Joy and Belonging: Practices for Rehumanizing Professional Learning

In this article the authors describe a professional learning initiative focused on joyful teaching and learning during the COVID-19 pandemic and the techniques that were used to foster a culture of belonging. The authors utilize an integrative framework for understanding, cultivating, and assessing belongingness to suggest implications for school-university partnerships. Finally, the authors pose questions for school-university partnerships to reflect upon to build an intersectional approach to professional learning in a post-pandemic educational landscape

Extreme Scale De Novo Metagenome Assembly

Metagenome assembly is the process of transforming a set of short, overlapping, and potentially erroneous DNA segments from environmental samples into the accurate representation of the underlying microbiomes's genomes. State-of-the-art tools require big shared memory machines and cannot handle contemporary metagenome datasets that exceed Terabytes in size. In this paper, we introduce the MetaHipMer pipeline, a high-quality and high-performance metagenome assembler that employs an iterative de Bruijn graph approach. MetaHipMer leverages a specialized scaffolding algorithm that produces long scaffolds and accommodates the idiosyncrasies of metagenomes. MetaHipMer is end-to-end parallelized using the Unified Parallel C language and therefore can run seamlessly on shared and distributed-memory systems. Experimental results show that MetaHipMer matches or outperforms the state-of-the-art tools in terms of accuracy. Moreover, MetaHipMer scales efficiently to large concurrencies and is able to assemble previously intractable grand challenge metagenomes. We demonstrate the unprecedented capability of MetaHipMer by computing the first full assembly of the Twitchell Wetlands dataset, consisting of 7.5 billion reads - size 2.6 TBytes.Comment: Accepted to SC1

Differential Privacy and the Accuracy of County-Level Net Migration Estimates

Each decade since the 1950s, demographers have generated high-quality net migration estimates by age, sex, and race for US counties using decennial census data as starting and ending populations. The estimates have been downloaded tens of thousands of times and widely used for planning, diverse applications, and research. Census 2020 should allow the series to extend through the 2010–2020 decade. The accuracy of new estimates, however, could be challenged by differentially private (DP) disclosure avoidance techniques in Census 2020 data products. This research brief estimates the impact of DP implementation on the accuracy of county-level net migration estimates. Using differentially private Census 2010 demonstration data, we construct a hypothetical set of DP migration estimates for 2000–2010 and compare them to published estimates, using common accuracy metrics and spatial analysis. Findings show that based on demonstration data released in 2020, net migration estimates by five-year age groups would only be accurate enough for use in about half of counties. Inaccuracies are larger in counties with populations less than 50,000, among age groups 65 and over, and among Hispanics. These problems are not fully resolved by grouping into broader age groups. Moreover, errors tend to cluster spatially in some regions of the country. Ultimately, the ability to generate accurate net migration estimates at the same level of detail as in the past will depend on the Census Bureau’s allocation of the privacy loss budget

The Parallelism Motifs of Genomic Data Analysis

Genomic data sets are growing dramatically as the cost of sequencing continues to decline and small sequencing devices become available. Enormous community databases store and share this data with the research community, but some of these genomic data analysis problems require large scale computational platforms to meet both the memory and computational requirements. These applications differ from scientific simulations that dominate the workload on high end parallel systems today and place different requirements on programming support, software libraries, and parallel architectural design. For example, they involve irregular communication patterns such as asynchronous updates to shared data structures. We consider several problems in high performance genomics analysis, including alignment, profiling, clustering, and assembly for both single genomes and metagenomes. We identify some of the common computational patterns or motifs that help inform parallelization strategies and compare our motifs to some of the established lists, arguing that at least two key patterns, sorting and hashing, are missing

A systematic review of the relationship between alexithymia and emotional eating in adults

Elucidating psychological characteristics associated with emotional eating may further inform interventions for this behaviour related to eating psychopathology. The present systematic review aimed to examine the relationship between alexithymia and self-reported emotional eating in adults, and provide a narrative synthesis of the existing literature. Using the PRISMA method for systematic reviews, six databases (MEDLINE, PsycInfo, PsycArticles, PubMed, SCOPUS, and Web of Science) were searched for peer-reviewed, quantitative research published between January 1994 and 20th July 2021, when the searches were conducted. Eligible articles investigated the association between alexithymia, as measured by the Toronto Alexithymia Scale (Bagby, Parker, & Taylor, 1994), and emotional eating, as measured by any validated self-report instrument. Nine cross-sectional articles were reviewed, and risk of bias was assessed using the Appraisal Tool for Cross-Sectional Studies (Downes, Brennan, Williams, & Dean, 2016). A narrative synthesis of articles suggests positive associations between alexithymia and self-reported emotional eating. Five measures of emotional eating were used across articles, with limited but consistent evidence for the relationship between alexithymia and emotional eating as measured by the Dutch Eating Behaviour Questionnaire (Van strien et al., 1986). Further research is required to add evidence to the nature of the relationship between alexithymia and emotional eating, and to explore mechanisms that might underpin any relationships. Understanding the association between alexithymia and emotional eating may support strategies and interventions for those seeking help for emotional eating and related eating behaviours

Effects of an e-health intervention 'iSupport' for reducing distress of dementia carers:protocol for a randomised controlled trial and feasibility study

Introduction: In the UK, National Health Service (NHS) guidelines recommend that informal carers of people living with dementia should be offered training to help them develop care skills and manage their own physical and mental health. The WHO recommends access to affordable, proven, well-designed, online technologies for education, skills training and support for dementia carers. In response to these recommendations, this multisite randomised controlled trial (RCT) is the first study in the UK to evaluate the clinical and cost-effectiveness of an online support programme developed by the WHO called 'iSupport for dementia carers'. Methods and analysis: 350 informal carers (age 18+ years) living in Britain who self-identify as experiencing stress and depression will be recruited. They will be randomised to receive 'iSupport', or standardised information about caring for someone with dementia (control–comparison). Data will be collected via videoconferencing (eg, Zoom) or telephone interview at baseline, 3 months and 6 months. Intention-to-treat analysis will ascertain effectiveness in the primary outcomes (distress and depression) and combined cost, and quality-adjusted life-year data will be used to assess cost-effectiveness compared with usual care from a public sector and wider societal perspective. A mixed-methods process evaluation with a subgroup of carers in the intervention (~N=50) will explore the barriers and facilitators to implementing 'iSupport'. A non-randomised feasibility study will adapt 'iSupport' for young carers (n=38 participants, age 11–17 years). Ethics and dissemination: The research plan was scrutinised by National Institute for Health Research reviewers ahead of funding being awarded. Ethical approval was granted by Bangor University's School of Health and Medical Sciences Academic Ethics Committee, reference number 2021-16915. Dissemination plans include delivering events for stakeholders, social media, a project website, developing policy briefings, presenting at conferences and producing articles for open access publications. Trial registration number: ISRCTN17420703

Variants in Hormone Biosynthesis Genes and Risk of Endometrial Cancer.

We investigated the risk associated with variants in three genes involved in estrogen biosynthesis, CYP11A1, CYP17A1, and CYP19A1, in the population-based case-control study of Estrogen, Diet, Genetics, and Endometrial Cancer. This study was conducted in New Jersey in 2001-2006 with 417 cases and 402 controls. For CYP11A1, there was no association between the number of [TTTTA]( n ) repeats (D15S520) and risk. For CYP17A1, risk was somewhat lower among women with the C/C genotype at T-34C (rs743572) (adjusted OR = 0.65, 95% CI 0.41-1.02). For CYP19A1, risk was lower among women homozygous for the 3-bp deletion (rs11575899) in exon 4 (adjusted OR = 0.44, 95% CI 0.26-0.76), while the number of [TTTA]( n ) repeats was not significantly related to risk: the adjusted OR for n = 7/7 repeats versus n \u3e 7/\u3e7 repeats was 0.81 (95% CI 0.54-1.23). In stratified analyses, results for CYP19A1 were stronger among women with higher (\u3e or =27.4) body mass index: for the homozygous deletion, OR = 0.30 (95% CI 0.15-0.62); for the n = 7/7 genotype, OR = 0.49 (95% CI 0.26-0.93). The interaction between the n = 7/7 genotype and BMI was statistically significant (p = 0.01). The insertion/deletion variant in CYP19A1 appears to be related to risk of endometrial cancer; risk associated with variants in this gene may vary according to BMI

Building collective control and improving health through a place-based community empowerment initiative: qualitative evidence from communities seeking agency over their built environment

Both environmental improvement and collective agency over local decisions are recognised strategies for promoting health and health equity. However, both strategies have been critiqued for their association with policies that emphasise local resources and decision-making while the state disinvests in social and environmental determinants of health. This paper explores the role of place-based community empowerment initiatives in building collective control and improving health. We examined the perspectives of participating communities using qualitative data from interviews and observational fieldwork embedded within an evaluation of a national community empowerment initiative: Big Local (funded by The National Lottery Community Fund and overseen by Local Trust). We selected five examples of community action to improve and maintain built environments. We found that while academics (including the authors) are interested in mechanisms to health impacts, participants focused on something more general: delivering benefits to their communities and maintaining services threatened by state disinvestment. Participants sometimes used ‘health’ as a pragmatic justification for action. We posit that systemic pathways to health impact are plausible even when communities themselves do not forefront health goals. For example, ‘quick wins’ and ‘quick losses’ resulting from early community action have potential to galvanise or undermine collective agency, and so affect communities’ capability to deliver future improvements to social and environmental determinants of health. However, structural limitations and unequal access to resources limit the potential of communities to make health-promoting change, as some participants acknowledged. Collective agency may improve socio-environmental determinants of health but systemic barriers to empowerment and equity persist