The Value of Evidence-Based Computer Simulation of Oral Health Outcomes for Management Analysis of the Alaska Dental Health Aide Program

Objectives: To create an evidence‐based research tool to inform and guide policy and program managers as they develop and deploy new service delivery models for oral disease prevention and intervention. Methods: A village‐level discrete event simulation was developed to project outcomes associated with different service delivery patterns. Evidence‐ based outcomes were associated with dental health aide activities, and projected indicators (DMFT, F+ST, T‐health, SiC, CPI, ECC) were proxy for oral health outcomes. Model runs representing the planned program implementation, a more intensive staffing scenario, and a more robust prevention scenario, generated 20‐year projections of clinical indicators; graphs and tallies were analyzed for trends and differences. Results: Outcomes associated with alternative patterns of service delivery indicate there is potential for substantial improvement in clinical outcomes with modest program changes. Not all segments of the population derive equal benefit when program variables are altered. Children benefit more from increased prevention, while adults benefit more from intensive staffing. Conclusions: Evidence‐ based simulation is a useful tool to analyze the impact of changing program variables on program outcome measures. This simulation informs dental managers of the clinical outcomes associated with policy and service delivery variables. Simulation tools can assist public health managers in analyzing and understanding the relationship between their policy decisions and long‐term clinical outcomes.The Ford Foundation

Eigenvalue solvers for atomistic simulations of electronic structures with NEMO-3D

The atomistic simulations of electronic structures, using a tight binding model with millions of atoms, require solution of very large sparse Hermitian eigenvalue problems. To obtain the eigenpairs of interest in the interior of the spectrum, we must take advantage of the most efficient parallel numerical algorithms. Several methods have been developed and implemented in Nanoelectronic Modeling software package NEMO-3D, including (P)ARPACK, (Block) Lanczos and Tracemin. In this paper, the performance and tradeoffs of these algorithms for realistic models are discussed. The effectiveness of code optimization techniques such as SSE2 vectorization is also presented

Mapping Patient Distributions Informs Community-Oriented Primary Care in Four Community Health Centers in Central Massachusetts

Background Based on the philosophy that family medicine training should occur in community-based practices and hospitals, the Worcester Family Medicine Residency (WFMR) training program was structured to combine learning opportunities in an academic medical center with outpatient care training in three unique community-based practices: the Barre Family Health Center, a rural site thirty miles west of Worcester, the Family Health Center of Worcester, a federally funded community health center serving a poor and culturally diverse urban population, and the Hahnemann Family Health Center, a hospital-owned health center serving a socioeconomically diverse population in the northeast part of Worcester. The WFMR received an AAMC “Regional Medicine-Public Health Education Centers-Graduate Medical Education (RMPHEC-GME)” grant to further integrate public health training into the clinical training experience. As part of the effort, collaboration was begun between the department of Family Medicine and Community Health at UMASS Medical School, the academic home of the WFMR, and geographers at Clark University, a local resource providing expertise in mapping of data using Geographic Information Systems (GIS). Mapping Patient Distribution A series of thematic maps were generated from actual practice data on the patients being served by each residency site and also by Fitchburg Community Health Center. Faculty champions from each site attended two training sessions to learn more about the capabilities of mapping. They were then asked to lead faculty at their site in discussion to define five maps they would like to see made from their own patient data. Most sites chose a map showing the distribution of the entire patient population, some requested a map of their pediatric patients, and then the rest were designed to depict the spread of certain chronic diseases, including asthma, hypertension, coronary disease, and diabetes. Maps were generated using geocoding and point density tools in ArcGIS Desktop software. The main goal of this mapping activity was to educate physicians in training about where their patients live and facilitate discussion about environmental factors that impact health. These maps can also be used by practitioners to communicate important information to their patients about available community resources such as gyms, parks, health clinics, and supermarkets (as shown on some maps). Making Maps Available Online One element of the grant initiative was to build an online resource to aid faculty in teaching about population health concepts. This portal, the Community Health Toolkit (http://www.umassmed.edu/fmch/toolkit.aspx), provides three types of information to aid clinicians in both their teaching and their practice. The “Data on Communities” section was developed as part of the UMMS/Clark University collaboration. In total, 24 thematic maps were generated by the GIS team at Clark University and uploaded to the “Data on Communities” web section of the Community Health Toolkit. Other sections of the Community Health Toolkit include “Learning about Populations” which provides links to a variety of local, regional and national health indicators, and a “Community Resources” section which provides links to community resources for patients. The Toolkit is presented to learners along the continuum of medical education, including second year students in the Population Health Clerkship, first year residents in the Family Medicine and Community Health rotation, then used as a resource by residents as they complete presentations and research projects

Percussion Convocation

Program listing performers and works performe

SB04-22/23: Resolution Authorizing Approval of Staff Senate Signature of Bear Necessities Statement to University Administration

Passed during May 10, 2023 Staff Senate meeting. Documents from the May 10, 2023 meeting of the University of Montana S by University of Montana--Missoula. Staff Senate (umt.edu) Resolution authorizing approval of Staff Senate to sign support to the ASUM Bear Necessities statement to the University of Montana Administration. Resolution Authored by Kat Cowley. Additional Authors, including Cowley, listed for letter. Letter discusses concerns regarding the status of marginalized and vulnerable student populations and offers suggestions on some ways the University of Montana can support students at a basic human level. These include continued advocacy for increase support from the State of Montana, increased housing availability, meal plan affordability, open education resources, campus accessibility, and addressing staffing issues

Lymphatic network drainage resolves cerebral edema and facilitates recovery from experimental cerebral malaria.

While brain swelling, associated with fluid accumulation, is a known feature of pediatric cerebral malaria (CM), how fluid and macromolecules are drained from the brain during recovery from CM is unknown. Using the experimental CM (ECM) model, we show that fluid accumulation in the brain during CM is driven by vasogenic edema and not by perivascular cerebrospinal fluid (CSF) influx. We identify that fluid and molecules are removed from the brain extremely quickly in mice with ECM to the deep cervical lymph nodes (dcLNs), predominantly through basal routes and across the cribriform plate and the nasal lymphatics. In agreement, we demonstrate that ligation of the afferent lymphatic vessels draining to the dcLNs significantly impairs fluid drainage from the brain and lowers anti-malarial drug recovery from the ECM syndrome. Collectively, our results provide insight into the pathways that coordinate recovery from CM

Epidemiology and Cost of Nosocomial Gastroenteritis, Avon, England, 2002–2003

Implementing control measures rapidly may be effective in controlling gastroenteritis outbreaks

Prosocial personality traits differentially predict egalitarianism, generosity, and reciprocity in economic games

Recent research has highlighted the role of prosocial personality traits—agreeableness and honesty-humility—in egalitarian distributions of wealth in the dictator game. Expanding on these findings, we ran two studies to examine individual differences in two other forms of prosociality—generosity and reciprocity—with respect to two major models of personality, the Big Five and the HEXACO. Participants (combined N = 560) completed a series of economic games in which allocations in the dictator game were compared with those in the generosity game, a non-constant-sum wealth distribution task where proposers with fixed payoffs selected the size of their partner’s payoff (“generosity”). We further examined positive and negative reciprocity by manipulating a partner’s previous move (“reciprocity”). Results showed clear evidence of both generosity and positive reciprocity in social preferences, with allocations to a partner greater in the generosity game than in the dictator game, and greater still when a player had been previously assisted by their partner. There was also a consistent interaction with gender, whereby men were more generous when this was costless and women were more egalitarian overall. Furthermore, these distinct forms of prosociality were differentially predicted by personality traits, in line with the core features of these traits and the theoretical distinctions between them. HEXACO honesty-humility predicted dictator, but not generosity allocations, while traits capturing tendencies towards irritability and anger predicted lower generosity, but not dictator allocations. In contrast, the politeness—but not compassion—aspect of Big Five agreeableness was uniquely and broadly associated with prosociality across all games. These findings support the discriminant validity between related prosocial constructs, and have important implications for understanding the motives and mechanisms taking place within economic games

A systematic analysis of the effect of target RNA structure on RNA interference

RNAi efficiency is influenced by local RNA structure of the target sequence. We studied this structure-based resistance in detail by targeting a perfect RNA hairpin and subsequently destabilized its tight structure by mutation, thereby gradually exposing the target sequence. Although the tightest RNA hairpins were completely resistant to RNAi, we observed an inverse correlation between the overall target hairpin stability and RNAi efficiency within a specific thermodynamic stability (ΔG) range. Increased RNAi efficiency was shown to be caused by improved binding of the siRNA to the destabilized target RNA hairpins. The mutational effects vary for different target regions. We find an accessible target 3′ end to be most important for RNAi-mediated inhibition. However, these 3′ end effects cannot be reproduced in siRNA-target RNA-binding studies in vitro, indicating the important role of RISC components in the in vivo RNAi reaction. The results provide a more detailed insight into the impact of target RNA structure on RNAi and we discuss several possible implications. With respect to lentiviral-mediated delivery of shRNA expression cassettes, we present a ΔG window to destabilize the shRNA insert for vector improvement, while avoiding RNAi-mediated self-targeting during lentiviral vector production