Modules universels de GL(3) sur un corps p-adique en caract\'eristique p

Let F be a p-adic field with residue class field k. We investigate the structure of certain mod p universal modules for GL(3,F) over the corresponding Hecke algebras. To this end, we first study the structure of some mod p universal modules for the finite group GL(n,k) as modules over the corresponding Hecke algebras. We then relate this finite case to the p-adic one by using homological coefficient systems on the the affine Bruhat-Tits building of GL(3). Suppose now that k has cardinality p. We prove that the mod p universal module of GL(3,F) relative to the Iwahori subroup is flat and projective over the Iwahori-Hecke algebra. When replacing the Iwahori subgroup of GL(3,F) by its pro-p-radical, we prove that the corresponding module is flat over the pro-p Iwahori-Hecke algebra if and only if p=2

Controlling the Precision-Recall Tradeoff in Differential Dependency Network Analysis

Graphical models have gained a lot of attention recently as a tool for learning and representing dependencies among variables in multivariate data. Often, domain scientists are looking specifically for differences among the dependency networks of different conditions or populations (e.g. differences between regulatory networks of different species, or differences between dependency networks of diseased versus healthy populations). The standard method for finding these differences is to learn the dependency networks for each condition independently and compare them. We show that this approach is prone to high false discovery rates (low precision) that can render the analysis useless. We then show that by imposing a bias towards learning similar dependency networks for each condition the false discovery rates can be reduced to acceptable levels, at the cost of finding a reduced number of differences. Algorithms developed in the transfer learning literature can be used to vary the strength of the imposed similarity bias and provide a natural mechanism to smoothly adjust this differential precision-recall tradeoff to cater to the requirements of the analysis conducted. We present real case studies (oncological and neurological) where domain experts use the proposed technique to extract useful differential networks that shed light on the biological processes involved in cancer and brain function

Factors Associated with Influenza & Tdap Vaccine Uptake in Pregnant Patients at the UT Family Medicine Clinic in Memphis

INTRODUCTION: Given the increased risk for infections among pregnant patients and newborns, vaccination against influenza (\u3e50,000,000 annual US cases affecting all ages) and pertussis (\u3e15,000 annual US cases disproportionately affecting newborns) are recommended among pregnant patients in order to protect them and their babies via passive immunity to cover a newborn’s window of vaccine ineligibility. Though flu and Tdap vaccination rates among pregnant patients have been trending upwards nationally, there is still room for improvement to achieve optimal rates. OBJECTIVES: The primary objectives were to study factors that affect the vaccination rates at the University of Tennessee Family Medicine Clinic at Memphis (UTFMC-M), compare those rates with national pregnancy flu/Tdap vaccination rates, and to generate recommendations based off observed factors associated with vaccine uptake to improve flu/Tdap vaccination rates in UTFMC-M pregnant patients. METHODS: This was a retrospective chart review of UTFMC-M patients who were pregnant from September 1, 2019-April 24, 2020 (included 2019-2020 flu season) (n=465). Variables studied included demographic data (race, age, insurance), immunization history (vaccine status, history of physician encouragement), and prenatal history (parity, number of prenatal visits, trimester at first visit, high risk clinic (HRC) admittance status). Vaccination status was based on ACIP recommendations (Flu shot eligible = any gestational age; Tdap eligible = ≥27 weeks). Positive HRC admittance was noted for patients with ≥2 visits to the UTFMC-M HRC, a clinic that specializes in high risk pregnant patient care. RESULTS: The patient sample was predominantly black (84.3%) and insured by Medicaid programs (88%). Among eligible UTFMC-M pregnant patients, 50.1% were flu-vaccinated (n=465); 73.8% were Tdap-vaccinated (n=317); and 52.1% were Flu+Tdap-vaccinated (n=317). No significant associations were found between vaccine uptake and HRC status, parity, and age. However, statistically significant relationships were found between vaccine uptake and physician encouragement (positive relationship with flu shot: X2(1, N = 465) =131, p \u3c 0.001, Tdap: X2 (6, N = 465) =476, p \u3c 0.001), number of prenatal visits (flu shot group median 8 visits, Tdap group median 9 visits vs. unvaccinated group median 4 visits; p \u3c 0.001), and early trimester age at first prenatal visit (X2(6, N = 465) =47.635 , p CONCLUSION: 2019-2020 UTFMC-M vaccination rates were on par with 2018-2019 US flu vaccine rates and higher than 2018-2019 US Tdap and Flu+Tdap rates. There were statistically significant relationships between vaccine uptake at UTFMC-M and physician encouragement, number of prenatal visits, and early trimester age at first prenatal visit but no significant relationships with UTFMC-M HRC admittance, parity, or age. Recommendations following from our observations to address further vaccine rate improvement include: continue vaccine encouragement, continue booking multiple visits (8 for flu, 9 for Tdap), prioritize Tdap vaccine higher for late trimester intake patients, and focus on flu vaccine encouragement and education

Premiers retours d'expérience sur l'utilisabilité et les usages de systèmes interactifs plastiques

International audienceThe Plasticity property has been introduced in 1999 in France to cope with the new variability of the context of use in ambient intelligence. A User Interface (UI) is said to be plastic if it is able to adapt to its context of use while preserving human-centered properties. Ten years later, theoretical as well as practical advances have been made. However, several questions related to usability and acceptability of plastic UIs need to be answered through evaluation with users. This paper presents a state of the art in plasticity and evaluation (methods and concerns). It describes three demonstrators and presents first results from evaluations led in laboratory and in the wild.La propriété de plasticité a été introduite en 1999 en France en réponse à une variabilité nouvelle du contexte d'usage en intelligence ambiante. Une Interface Homme-Machine (IHM) est dite plastique lorsqu'elle est douée d'adaptation à son contexte d'usage dans le respect de propriétés centrées utilisateur. Dix ans plus tard, les avancées sont certaines. On recense de nombreux résultats aussi bien théoriques que pratiques. Cependant, l'utilisabilité et l'acceptabilité des IHM plastiques soulèvent de nombreuses questions qui nécessitent la mise en œuvre d'évaluations auprès d'utilisateurs. Cet article présente l'état de l'art en plasticité et en évaluation (méthodes et difficultés). Il décrit trois démonstrateurs et présente les premiers retours d'évaluations menées en laboratoire et sur le terrain

How ideas from ecological capture-recapture models may inform multiple systems estimation analyses

Abundance estimation, for both human and animal populations, informs policy decisions and population management. Capture-recapture and multiple sources data share a common structure; the population can be partially enumerated and individuals are identifiable. Consequently, the analytical methods were developed simultaneously. However, whilst ecological models have been developed to describe highly complex, biologically realistic scenarios, for example modeling population changes through time and combining different forms of data, multiple systems estimation has changed comparatively less so. In this paper we provide a brief description of the historical development of ecological and epidemiological capture-recapture and discuss the associated underlying differences that have led to model divergence. We identify three key areas where ecological modeling methods may inform and improve multiple systems estimation.Publisher PDFPeer reviewe

The Limits of Foreign Aid Diplomacy: How Bureaucratic Design Shapes Aid Distribution

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/113691/1/isqu12191-sup-0001-appendixS1.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/113691/2/isqu12191.pd

Joint Effect of Childhood Abuse and Family History of Major Depressive Disorder on Rates of PTSD in People with Personality Disorders

Objective. Childhood maltreatment and familial psychopathology both lead to an increased risk of the development of posttraumatic stress disorder (PTSD) in adulthood. While family history of psychopathology has traditionally been viewed as a proxy for genetic predisposition, such pathology can also contribute to a stress-laden environment for the child. Method. Analyses were conducted to evaluate the joint effect of childhood abuse and a family history of major depressive disorder (MDD) on diagnoses of PTSD and MDD in a sample of 225 adults with DSM-IV Axis II disorders. Results. Results showed that the rate of PTSD in the presence of both childhood abuse and MDD family history was almost six-fold (OR = 5.89, P = .001) higher relative to the absence of both factors. In contrast, the rate of MDD in the presence of both factors was associated with a nearly three-fold risk relative to the reference group (OR = 2.75, P = .01). Conclusions. The results from this observational study contribute to a growing understanding of predisposing factors for the development of PTSD and suggest that joint effects of family history of MDD and childhood abuse on PTSD are greater than either factor alone