Gravitino Dark Matter and Flavor Symmetries

In supersymmetric theories without R-parity, the gravitino can play the role of a decaying Dark Matter candidate without the problem of late NLSP decays affecting Big Bang Nucleosynthesis. In this work, we elaborate on recently discussed limits on R-parity violating couplings from decays to antideuterons and discuss the implications for two classes of flavor symmetries: horizontal symmetries, and Minimal Flavor Violation. In most of the parameter space the antideuteron constraints on R-parity violating couplings are stronger than low-energy baryon-number-violating processes. Even in the absence of flavor symmetries, we find strong new limits on couplings involving third-generation fields, and discuss the implications for LHC phenomenology. For TeV scale superpartners, we find that the allowed MFV parameter space is a corner with gravitino masses smaller than O(10) GeV and small $\tan\beta$.Comment: 19 pages, matches JHEP published version. References added, minor change

'Leaves and Eats Shoots': Direct Terrestrial Feeding Can Supplement Invasive Red Swamp Crayfish in Times of Need

PMCID: PMC3411828This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited

Collaboration between Media, Librarians, and IT

As part of the Libraries strategic plan, the College of Saint Benedict/Saint John\u27s University is working to implement more collaboration between Media Services, Librarians, and campus IT. We held several brainstorming sessions to talk about how we might collaborate, and we are currently implementing our plan. We are holding training sessions for all librarians and media staff on various topics and have implemented librarian liaisons specializing in a particular media service, i.e. 3D printing, video editing, and data visualization. These liaisons will help tie information literacy learning goals into media instruction sessions

Author rights, open access, and you!

Librarians present a session on author rights, copyright and permissions, and best practices for curating faculty members’ online presence, and talk about the benefits of making one’s work openly available on DigitalCommons@CSB/SJU

Using Fad Diets to Teach Information Evaluation

In Spring 2021, the librarian presenters partnered with Laura Bauer, a Nutrition faculty member, to teach students in introductory Nutrition classes information evaluation skills. The instructor\u27s assignment originally asked the class of non-science major students to find a recipe online that met a personal nutrition goal based on current recommendations. The assignment evolved for a class of pre-health science students into an evaluative assignment where students were asked to research a fad diet online and compare those findings with the scholarly literature, all while considering diet culture through a social justice lens. In this session we\u27ll discuss how the librarians and professor collaborated to create an assignment that incorporated the learning objectives of the course into a real-life scenario where students would be expected to critically evaluate information. Over our two-part library instruction session with the pre-health science majors, we introduced two evaluation methods to students in the class: SIFT (Stop, Investigate the source, Find trusted coverage, Trace the claims) and TRAP (Timeliness, Relevance, Authority, Purpose). We will explain these evaluation techniques and how they can be applied to evaluate various types of information. We will also discuss our plans to incorporate the fad diet assignment into courses for non-science majors in the fall, replacing the more basic recipe assignment

Revolutionary or evolutionary? Making research data management manageable

This chapter investigates the role of academic librarians, particularly those at small liberal arts institutions, in providing research data management services. Research data management may not seem like an obvious fit for curricular libraries whose primary mission is supporting teaching rather than faculty research, nor is data curation an obvious need for schools without a data repository or staff who specialize in the preservation and dissemination of data. Yet numerous reports cite data management and data services as critical services for the future of academic libraries (ACRL Planning and Review Committee, 2013; Johnson, 2014; Cox, 2013; Tenopir, 2012). The question raised, then, is how and why are data management services important in the liberal arts context? What can librarians at these institutions do to develop expertise in this growing area of the profession? What services are college and university libraries beginning to provide, and how successfully can existing models be adapted to other institutions? Does the addition of data services transform the mission of liberal arts libraries, and if so, is that transition revolutionary or evolutionary? Liberal arts librarians, as they have with numerous other shifts and trends in librarianship, can turn to models in the literature from research universities, develop communities of practice amongst themselves, and also innovate from within their own unique contexts. The authors argue that such collaboration and innovation reflect an evolutionary process as librarians build on existing skills, strategies, workflows, and knowledge. The following pages of this chapter survey the current environment, offer case studies from two small liberal arts institutions, the College of Saint Benedict/Saint John’s University and Carleton College, and provide readers with recommended action steps to develop a path of gradual, manageable, shared, and sustainable work in research data management

Pauci-immune glomerulonephritis in individuals with disease associated with levamisole-adulterated cocaine: a series of 4 cases.

Exposure to levamisole-adulterated cocaine can induce a distinct clinical syndrome characterized by retiform purpura and/or agranulocytosis accompanied by an unusual constellation of serologic abnormalities including antiphospholipid antibodies, lupus anticoagulants, and very high titers of antineutrophil cytoplasmic antibodies. Two recent case reports suggest that levamisole-adulterated cocaine may also lead to renal disease in the form of pauci-immune glomerulonephritis. To explore this possibility, we reviewed cases of pauci-immune glomerulonephritis between 2010 and 2012 at an inner city safety net hospital where the prevalence of levamisole in the cocaine supply is known to be high. We identified 3 female patients and 1 male patient who had biopsy-proven pauci-immune glomerulonephritis, used cocaine, and had serologic abnormalities characteristic of levamisole-induced autoimmunity. Each also had some other form of clinical disease known to be associated with levamisole, either neutropenia or cutaneous manifestations. One patient had diffuse alveolar hemorrhage. Three of the 4 patients were treated with short courses of prednisone and cyclophosphamide, 2 of whom experienced stable long-term improvement in their renal function despite ongoing cocaine use. The remaining 2 patients developed end-stage renal disease and became dialysis-dependent. This report supports emerging concern of more wide spread organ toxicity associated with the use of levamisole-adulterated cocaine

Beginning to track 1000 datasets from public repositories into the published literature

Data sharing provides many potential benefits, although the amount of actual data reused is unknown. Here we track the reuse of data from three data repositories (NCBI\u27s Gene Expression Omnibus, PANGAEA, and TreeBASE) by searching for dataset accession number or unique identifier in Google Scholar and using ISI Web of Science to find articles that cited the data collection article. We found that data reuse and data attribution patterns vary across repositories. Data reuse appears to correlate with the number of citations to the data collection article. This preliminary investigation has demonstrated the feasibility of this method for tracking data reuse

Latent profile analysis of accelerometer-measured sleep, physical activity, and sedentary time and differences in health characteristics in adult women.

ObjectivesIndependently, physical activity (PA), sedentary behavior (SB), and sleep are related to the development and progression of chronic diseases. Less is known about how rest-activity behaviors cluster within individuals and how rest-activity behavior profiles relate to health. In this study we aimed to investigate if adult women cluster into profiles based on how they accumulate rest-activity behavior (including accelerometer-measured PA, SB, and sleep), and if participant characteristics and health outcomes differ by profile membership.MethodsA convenience sample of 372 women (mean age 55.38 + 10.16) were recruited from four US cities. Participants wore ActiGraph GT3X+ accelerometers on the hip and wrist for a week. Total daily minutes in moderate-to-vigorous PA (MVPA) and percentage of wear-time spent in SB was estimated from the hip device. Total sleep time (hours/minutes) and sleep efficiency (% of in bed time asleep) were estimated from the wrist device. Latent profile analysis (LPA) was performed to identify clusters of participants based on accumulation of the four rest-activity variables. Adjusted ANOVAs were conducted to explore differences in demographic characteristics and health outcomes across profiles.ResultsRest-activity variables clustered to form five behavior profiles: Moderately Active Poor Sleepers (7%), Highly Actives (9%), Inactives (41%), Moderately Actives (28%), and Actives (15%). The Moderately Active Poor Sleepers (profile 1) had the lowest proportion of whites (35% vs 78-91%, p < .001) and college graduates (28% vs 68-90%, p = .004). Health outcomes did not vary significantly across all rest-activity profiles.ConclusionsIn this sample, women clustered within daily rest-activity behavior profiles. Identifying 24-hour behavior profiles can inform intervention population targets and innovative behavioral goals of multiple health behavior interventions