1,562 research outputs found

    Message from the President

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    Newsletter published on March 10, 2017 detailing the multiple studies being undertaken by the faculty of Jiann-Ping Hsu College of Public Healthhttps://digitalcommons.georgiasouthern.edu/pubhlth-bee-facmedia/1037/thumbnail.jp

    Selection of landcover types by translocated female eastern wild turkeys in east Texas

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    Restoration of eastern wild turkeys (Meleagris gallopavo silvestris) is among the greatest conservation achievements in North America. However, restoration efforts in east Texas have had limited success, resulting in a fragmented distribution of turkeys across the landscape. Restoration success is largely dependent on the ability of translocated individuals to quickly select habitat patches on the landscape. Information on habitat selection of translocated wild turkeys is important to identify high quality release locations that should reduce the probability of translocation failure. Our objective was to describe selection of landcover types by translocated female wild turkeys in east Texas. During 2016–2017, we translocated 78 GPS‐tagged wild turkeys to Angelina National Forest in east Texas. We quantified third order selection for females during 3 temporal periods—the exploratory phase (days 1–20), the exploitation phase (days 21–80), and within the annual range. During the exploratory phase, females selected shrub‐scrub and open landcover types, as well as linear paths (roads, rights-of‐way). During the exploitation phase, females selected shrub-scrub, mixed, and open landcover types, but not linear paths. Overall, wild turkeys translocated into forested landscapes of east Texas selected for early successional and other open landcover types. Prior to translocation attempts in forest-dominated landscapes, managers should consider ways to increase availability of open landcover types with herbaceous cover for nesting and brood rearing

    Benchmarking treewidth as a practical component of tensor-network--based quantum simulation

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    Tensor networks are powerful factorization techniques which reduce resource requirements for numerically simulating principal quantum many-body systems and algorithms. The computational complexity of a tensor network simulation depends on the tensor ranks and the order in which they are contracted. Unfortunately, computing optimal contraction sequences (orderings) in general is known to be a computationally difficult (NP-complete) task. In 2005, Markov and Shi showed that optimal contraction sequences correspond to optimal (minimum width) tree decompositions of a tensor network's line graph, relating the contraction sequence problem to a rich literature in structural graph theory. While treewidth-based methods have largely been ignored in favor of dataset-specific algorithms in the prior tensor networks literature, we demonstrate their practical relevance for problems arising from two distinct methods used in quantum simulation: multi-scale entanglement renormalization ansatz (MERA) datasets and quantum circuits generated by the quantum approximate optimization algorithm (QAOA). We exhibit multiple regimes where treewidth-based algorithms outperform domain-specific algorithms, while demonstrating that the optimal choice of algorithm has a complex dependence on the network density, expected contraction complexity, and user run time requirements. We further provide an open source software framework designed with an emphasis on accessibility and extendability, enabling replicable experimental evaluations and future exploration of competing methods by practitioners.Comment: Open source code availabl

    A review of wildland fire spread modelling, 1990-present 2: Empirical and quasi-empirical models

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    In recent years, advances in computational power and spatial data analysis (GIS, remote sensing, etc) have led to an increase in attempts to model the spread and behaviour of wildland fires across the landscape. This series of review papers endeavours to critically and comprehensively review all types of surface fire spread models developed since 1990. This paper reviews models of an empirical or quasi-empirical nature. These models are based solely on the statistical analysis of experimentally obtained data with or without some physical framework for the basis of the relations. Other papers in the series review models of a physical or quasi-physical nature, and mathematical analogues and simulation models. The main relations of empirical models are that of wind speed and fuel moisture content with rate of forward spread. Comparisons are made of the different functional relationships selected by various authors for these variables.Comment: 22 pages + 7 pages references + 2 pages tables + 2 pages figures. Submitted to International Journal of Wildland Fir

    The Complete Genome Sequence of Proteus mirabilis Strain BB2000 Reveals Differences from the P. mirabilis Reference Strain

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    We announce the complete genome sequence for Proteus mirabilis strain BB2000, a model system for self recognition. This opportunistic pathogen contains a single, circular chromosome (3,846,754 bp). Comparisons between this genome and that of strain HI4320 reveal genetic variations corresponding to previously unknown physiological and self-recognition differences.Molecular and Cellular Biolog

    Patients’ perceived needs for medical services for non-specific low back pain: A systematic scoping review

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    Background: An improved understanding of patients’ perceived needs for medical services for low back pain (LBP) will enable healthcare providers to better align service provision with patient expectations, thus improving patient and health care system outcomes. Thus, we aimed to identify the existing literature regarding patients’ perceived needs for medical services for LBP. Methods: A systematic scoping review was performed of publications identified from MEDLINE, EMBASE, CINAHL and PsycINFO (1990–2016). Descriptive data regarding each study, its design and methodology were extracted and risk of bias assessed. Aggregates of patients’ perceived needs for medical services for LBP were categorised. Results: 50 studies (35 qualitative, 14 quantitative and 1 mixed-methods study) from 1829 were relevant. Four areas of perceived need emerged: (1) Patients with LBP sought healthcare from medical practitioners to obtain a diagnosis, receive management options, sickness certification and legitimation for their LBP. However, there was dissatisfaction with the cursory and superficial approach of care. (2) Patients had concerns about pharmacotherapy, with few studies reporting on patients’ preferences for medications. (3) Of the few studies which examined the patients’ perceived need of invasive therapies, these found that patients avoided injections and surgeries (4) Patients desired spinal imaging for diagnostic purposes and legitimation of symptoms. Conclusions: Across many different patient populations with data obtained from a variety of study designs, common themes emerged which highlighted areas of patient dissatisfaction with the medical management of LBP, in particular, the superficial approach to care perceived by patients and concerns regarding pharmacotherapy. Patients perceive unmet needs from medical services, including the need to obtain a diagnosis, the desire for pain control and the preference for spinal imaging. These issues need to be considered in developing approaches for the management of LBP in order to improve patient outcomes

    Genetic and epigenetic regulation in Lingo-1 : Effects on cognitive function and white matter microstructure in a case-control study for schizophrenia

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    Leucine-rich repeat and immunoglobulin domain-containing protein (Lingo-1) plays a vital role in a large number of neuronal processes underlying learning and memory, which are known to be disrupted in schizophrenia. However, Lingo-1 has never been examined in the context of schizophrenia. The genetic association of a single-nucleotide polymorphism (SNP, rs3144) and methylation (CpG sites) in the Lingo-1 3′-UTR region was examined, with the testing of cognitive dysfunction and white matter (WM) integrity in a schizophrenia case-control cohort (n = 268/group). A large subset of subjects (97 control and 161 schizophrenia subjects) underwent structural magnetic resonance imaging (MRI) brain scans to assess WM integrity. Frequency of the rs3144 minor allele was overrepresented in the schizophrenia population (p = 0.03), with an odds ratio of 1.39 (95% CI 1.016–1.901). CpG sites surrounding rs3144 were hypermethylated in the control population (p = 0.032) compared to the schizophrenia group. rs3144 genotype was predictive of membership to a subclass of schizophrenia subjects with generalized cognitive deficits (p < 0.05), in addition to having associations with WM integrity (p = 0.018). This is the first study reporting a potential implication of genetic and epigenetic risk factors in Lingo-1 in schizophrenia. Both of these genetic and epigenetic alterations may also have associations with cognitive dysfunction and WM integrity in the context of the schizophrenia pathophysiology
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