Variant supercurrent multiplets

In N = 1 rigid supersymmetric theories, there exist three standard realizations of the supercurrent multiplet corresponding to the (i) old minimal, (ii) new minimal and (iii) non-minimal off-shell formulations for N = 1 supergravity. Recently, Komargodski and Seiberg in arXiv:1002.2228 put forward a new supercurrent and proved its consistency, although in the past it was believed not to exist. In this paper, three new variant supercurrent multiplets are proposed. Implications for supergravity-matter systems are discussed.Comment: 11 pages; V2: minor changes in sect. 3; V3: published version; V4: typos in eq. (2.3) corrected; V5: comments and references adde

MANAGING VARIANT DISCREPANCY IN HEREDITARY CANCER: CLINICAL PRACTICE, BARRIERS, AND DESIRED RESOURCES

Variants are changes in the DNA whose phenotypic effects may or may not be definitively understood. Because variant interpretation is a complex process, sources sometimes disagree on the classification of a variant, which is called a variant discrepancy. This study aimed to determine the practice of genetic counselors regarding variant discrepancies and to identify the barriers to counseling a variant discrepancy in hereditary cancer genetic testing. This investigation was unique because it was the first to address variant discrepancies from a clinical point of view. An electronic survey was sent to genetic counselors in the NSGC Cancer Special Interest Group. The vast majority of counselors (93%) had seen a variant discrepancy in practice. The most commonly selected barriers to counseling a variant discrepancy were lack of data sharing (90%) and lack of a central database (76%). Most counselors responded that the ideal database would be owned by a non-profit (59%) and obtain information directly from laboratories (91%). When asked how they approached counseling sessions involving variant discrepancies, the free responses emphasized that counselors consider family history and psychosocial concerns, showing that genetic counselors tailored the session to each individual. Variant discrepancies are an ongoing concern for clinical cancer genetic counselors, as demonstrated by the fact that counselors desired further resources to aid in addressing variant discrepancies, including a centralized database (89%), guidelines from a major organization (88%), continuing education about the issue (74%) and functional studies (58%)

Far-Field Tunable Nano-focusing Based on Metallic Slits Surrounded with Nonlinear-Variant Widths and Linear-Variant Depths of Circular Dielectric Grating

In this work, we design a new tunable nanofocusing lens by the linear-variant depths and nonlinear-variant widths of circular grating for far field practical applications. The constructively interference of cylindrical surface plasmon launched by the subwavelength metallic structure can form a subdiffraction-limited focus, and the focal length of the this structures can be adjusted if the each groove depth and width of circular grating are arranged in traced profile. According to the numerical calculation, the range of focusing points shift is much more than other plasmonic lens, and the relative phase of emitting light scattered by surface plasmon coupling circular grating can be modulated by the nonlinear-variant width and linear-variant depth. The simulation result indicates that the different relative phase of emitting light lead to variant focal length. We firstly show a unique phenomenon for the linear-variant depths and nonlinear-variant widths of circular grating that the positive change and negative change of the depths and widths of grooves can result in different of variation trend between relative phases and focal lengths. These results paved the road for utilizing the plasmonic lens in high-density optical storage, nanolithography, superresolution optical microscopic imaging, optical trapping, and sensing.Comment: 14pages,9figure

Differences in Mental Health and Ethnic-Racial Identity between White Gender Variant Students and Gender Variant Students of Color

Differences in Mental Health and Ethnic-Racial Identity between White Gender Variant Students and Gender Variant Students of Color Xuxa Sky Lark, Depts. of International Social Justice and French, Arlenis Santana, Dept. of Psychology Graduate Student, & Chloe Walker, Dept. of Psychology Graduate Student, with Dr. Diamond Y. Bravo, Dept. of Psychology, University of California, Riverside, and Dr. Chelsea Derlan Williams, Dr. Amy Adkins, and Dr. Danielle M. Dick, Dept. of Psychology Gender variant college students (i.e., transgender, genderqueer, and questioning) experience increased risk for mental health disparities, discrimination, bullying, family disownment, homelessness, and hate crimes, to name a few (Eisenberg, 2017). Further disparities arise when the intersections of gender and race are both considered; however, few studies have tested ethnic-racial identity (ERI) development among gender variant individuals (Kattari, 2016), which is predominantly tested in cisgender populations (e.g., Aoyagi et al, 2017; Umaña-Taylor et al., 2014). This is a notable gap given that ERI is a normative aspect of adolescence and emerging adulthood that is associated with positive development (Umaña-Taylor et al., 2014). Understanding ERI and mental health among diverse gender variant individuals is important to be able to create effective interventions and resources across ethnic-racial backgrounds that considers individuals’ unique lived experiences (Mossakowski, 2003). To address these gaps, the current study, grounded in the minority stress framework (Meyer, 2003) and ERI frameworks (Umaña-Taylor et al., 2014), tested differences in mental health (i.e., anxiety and depression) and ERI (i.e., exploration, resolution, and affirmation) between White gender variant students and gender variant students of color. The sample in the current study was from a larger university-wide study (i.e., Spit for Science; Dick et al., 2014), and consisted of 112 ethnically diverse gender variant students who identified as a White student (n = 72) or identified as a student of color (n = 40) in college. Students ranged in age from 18-24 years old (M = 20.15, SD = 1.61), and were 4.6% transgender women, 11.11% transgender men, 30.16% questioning, and 53.97% genderqueer. The Symptom Checklist 90-R (SCL-90-R; Derogatis & Cleary, 1977) was used to measure levels of depression and anxiety, and the Ethnic Identity Scale-Brief (EIS-B; Douglass & Umaña-Taylor, 2015) was used to assess ERI exploration, resolution, and affirmation. First, descriptive statistics were conducted to examine correlations among variables (Table 1). Next, hypotheses were tested with five t-tests that tested mean differences in mental health and ERI between gender variant White students and students of color. Findings indicated gender variant students of color (compared to White gender variant students) had significantly higher ERI exploration (t (107) = -6.49, p = .00), ERI affirmation (t (106) = -2.23, p = .03), and ERI resolution (t (106) = -5.61, p = .00). Although gender variant students of color had higher mean levels of anxiety and depression than White gender variant students, this difference was not significant (p \u3e .05). Discussion will center on how ERI may be a protective factor for gender identity-based risk factors among gender variant students of color, which will be a fruitful area for continued investigation and intervention efforts.https://scholarscompass.vcu.edu/uresposters/1318/thumbnail.jp

Asynchronous Gossip for Averaging and Spectral Ranking

We consider two variants of the classical gossip algorithm. The first variant is a version of asynchronous stochastic approximation. We highlight a fundamental difficulty associated with the classical asynchronous gossip scheme, viz., that it may not converge to a desired average, and suggest an alternative scheme based on reinforcement learning that has guaranteed convergence to the desired average. We then discuss a potential application to a wireless network setting with simultaneous link activation constraints. The second variant is a gossip algorithm for distributed computation of the Perron-Frobenius eigenvector of a nonnegative matrix. While the first variant draws upon a reinforcement learning algorithm for an average cost controlled Markov decision problem, the second variant draws upon a reinforcement learning algorithm for risk-sensitive control. We then discuss potential applications of the second variant to ranking schemes, reputation networks, and principal component analysis.Comment: 14 pages, 7 figures. Minor revisio