Effect of Prior Anterior Superior Iliac Spine Compression Testing on Second Assessor Findings: Implications for Inter-Examiner Reliability Testing

BACKGROUND: Osteopathic physicians use palpation to diagnose sacroiliac joint somatic dysfunction (SD) -- including the Anterior Superior Iliac Spine (ASIS) Compression Test for dysfunctional side lateralization. (Literature suggests right-sided lateralization in 80% of asymptomatic individuals). Accurate, reliable tests are crucial however to diagnose SD and kappa (κ) analysis is a gold-standard to determine the degree of interexaminer reliability for tests. Few studies have examined the effect the palpatory examination has on subsequent diagnostic findings and therefore on κ-values

Inter-Examiner Reliability of an Anterior Superior Iliac Spine Compression Test used to Lateralize Pelvic Somatic Dysfunction to the Right Side or Not

BACKGROUND: Osteopathic physicians use a number of palpatory structural examinations to diagnose pelvic somatic dysfunction (SD). They may elect to use the Anterior Superior Iliac Spine (ASIS) Compression Test to lateralize the dysfunctional side. Accurate, reliable tests are crucial to neuromusculoskeletal diagnosis and this study employs the kappa (κ) analysis protocol recommended for assessing interexaminer reliability of manual medicine tests (published by the Fédération Internationale de Médecine Manuelle [FIMM]). κ-values ≥0.40 (moderate agreement) are considered to be acceptable for use in the clinical setting

The Use of Objective Data to Improve Interexaminer Reliability

BACKGROUND: In Osteopathic Manipulative Medicine (OMM) and Manual/Musculoskeletal Medicine (MMM), palpatory diagnosis is performed on a regular basis to diagnose somatic dysfunction (SD). This examination requires careful and precise touch coupled with subjective interpretation by individual examiners who may have been trained to evaluate SD through different methods. Interexaminer reliability studies aim to minimize variance by providing quantifiable scientific data to evaluate specific test protocols which can then be taught to practitioners. In a previous PCOM study, two examiners independently diagnosed innominate bone dysfunction lateralized using the ASIS compression test on a large group of subjects. A pressure monitoring system (IsoTOUCH®, Chattanooga TN) has been used in various studies at the PCOM Human Performance & Biomechanics Laboratory (Kuchera, Jean et al 2006 & Kuchera, Vardy et al 2005) to quantify or standardize forces used in palpatory diagnosis or OMM/MMM treatment applications. This study gathered data during the tesing phase of a new and improved model of this system, using the protocol of the previous ASIS interexaminer reliability study. The data collected during standardization of the system was analyzed in the same manner as the previous study to compare the results of interexaminer reliability to results achieved using live data feed for baseline pressure synchronization between examiners

Comparing Inter-Examiner Reliability Levels when Diagnosing Male & Female Innominate Dysfunctions Using a Hemi-Pelvise Compression Lateralization Test and Pelvic Landmark Levels.

BACKGROUND: When diagnosing innominate somatic dysfunctions it may be relevant to recognize that structural, functional, and hormonal differences exist between male and female pelvises. The female pelvis is less massive, ilia are less sloped, and female hormones influence ligamentous tension. Despite these differences, few studies have analyzed gender effects on inter-examiner reliability when using palpatory diagnosis to diagnose innominate dysfunctions. In this study, we hypothesized that interexaminer reliability would be higher in male subjects than in female subjects due cyclic variability of hormonal influence of ligamentous tension in the female pelvis. The kappa (κ) statistic was selected to evaluate inter-examiner reliability as it is designed to eliminate agreement by chance. The agreement scale as proposed by Landis and Koch was used in the evaluation if the κ-value

Environmental heterogeneity and not vicariant biogeographic barriers generate community-wide population structure in desert-adapted snakes

Genetic structure can be influenced by local adaptation to environmental heterogeneity and biogeographic barriers, resulting in discrete population clusters. Geographic distance among populations, however, can result in continuous clines of genetic divergence that appear as structured populations. Here, we evaluate the relevant importance of these three factors over a landscape characterized by environmental heterogeneity and the presence of a hypothesized biogeographic barrier in producing population genetic structure within 13 codistributed snake species using a genomic data set. We demonstrate that geographic distance and environmental heterogeneity across western North America contribute to population genomic divergence. Surprisingly, landscape features long thought to contribute to biogeographic barriers play little role in divergence community wide. Our results suggest that isolation by environment is the most important contributor to genomic divergence. Furthermore, we show that models of population clustering that incorporate spatial information consistently outperform nonspatial models, demonstrating the importance of considering geographic distances in population clustering. We argue that environmental and geographic distances as drivers of community-wide divergence should be explored before assuming the role of biogeographic barriers.see also the Perspective by Alencar and QuentalPeer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/152024/1/mec15182-sup-0004-AppendixS4.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/152024/2/mec15182_am.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/152024/3/mec15182-sup-0005-AppendixS5.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/152024/4/mec15182-sup-0002-AppendixS2.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/152024/5/mec15182-sup-0010-AppendixS10.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/152024/6/mec15182.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/152024/7/mec15182-sup-0003-AppendixS3.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/152024/8/mec15182-sup-0006-AppendixS6.pd

Environmental heterogeneity and not vicariant biogeographic barriers generate community-wide population structure in desert-adapted snakes

Genetic structure can be influenced by local adaptation to environmental heterogeneity and biogeographic barriers, resulting in discrete population clusters. Geographic distance among populations, however, can result in continuous clines of genetic divergence that appear as structured populations. Here, we evaluate the relevant importance of these three factors over a landscape characterized by environmental heterogeneity and the presence of a hypothesized biogeographic barrier in producing population genetic structure within 13 codistributed snake species using a genomic data set. We demonstrate that geographic distance and environmental heterogeneity across western North America contribute to population genomic divergence. Surprisingly, landscape features long thought to contribute to biogeographic barriers play little role in divergence community wide. Our results suggest that isolation by environment is the most important contributor to genomic divergence. Furthermore, we show that models of population clustering that incorporate spatial information consistently outperform nonspatial models, demonstrating the importance of considering geographic distances in population clustering. We argue that environmental and geographic distances as drivers of community-wide divergence should be explored before assuming the role of biogeographic barriers.see also the Perspective by Alencar and QuentalPeer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/152024/1/mec15182-sup-0004-AppendixS4.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/152024/2/mec15182_am.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/152024/3/mec15182-sup-0005-AppendixS5.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/152024/4/mec15182-sup-0002-AppendixS2.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/152024/5/mec15182-sup-0010-AppendixS10.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/152024/6/mec15182.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/152024/7/mec15182-sup-0003-AppendixS3.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/152024/8/mec15182-sup-0006-AppendixS6.pd

Systems Biology Markup Language (SBML) Level 3 Package: Distributions, Version 1, Release 1

Biological models often contain elements that have inexact numerical values, since they are based on values that are stochastic in nature or data that contains uncertainty. The Systems Biology Markup Language (SBML) Level 3 Core specification does not include an explicit mechanism to include inexact or stochastic values in a model, but it does provide a mechanism for SBML packages to extend the Core specification and add additional syntactic constructs. The SBML Distributions package for SBML Level 3 adds the necessary features to allow models to encode information about the distribution and uncertainty of values underlying a quantity

Novel composite organic-inorganic semiconductor sensors for the quantitative detection of target organic vapours

Composites of tin dioxide (an n-type semiconductor) and derivatives of the conducting polymer polypyrrole (a p-type semiconductor) gave reversible changes in electrical resistance at room temperature when exposed to a range of organic vapours. The optimum amount of polymer giving highest sensitivity was found by experiment to be 2.5% by mass for the polypyrrole chloride-tin dioxide composite. Composites containing 2.5% polymer by mass, but differing in polymer derivative, were fabricated and exposed to low concentrations of ethanol, methanol, acetone, methyl acetate and ethyl acetate. All were found to give significant and reversible decreases in electrical resistance. Direct comparison with sensors constructed solely of tin dioxide or polypyrrole at room temperature showed the composites to be more sensitive. The gas sensitivity of the composite materials depended on the type of polymer derivative incorporated and the dopant anion associated with the polymer. The composites were simple to fabricate and gave differing response profiles to a range of organic vapours

Statistical Inference for Valued-Edge Networks: Generalized Exponential Random Graph Models

Across the sciences, the statistical analysis of networks is central to the production of knowledge on relational phenomena. Because of their ability to model the structural generation of networks, exponential random graph models are a ubiquitous means of analysis. However, they are limited by an inability to model networks with valued edges. We solve this problem by introducing a class of generalized exponential random graph models capable of modeling networks whose edges are valued, thus greatly expanding the scope of networks applied researchers can subject to statistical analysis

Leptin mediates the increase in blood pressure associated with obesity.

Obesity is associated with increased blood pressure (BP), which in turn increases the risk of cardiovascular diseases. We found that the increase in leptin levels seen in diet-induced obesity (DIO) drives an increase in BP in rodents, an effect that was not seen in animals deficient in leptin or leptin receptors (LepR). Furthermore, humans with loss-of-function mutations in leptin and the LepR have low BP despite severe obesity. Leptin's effects on BP are mediated by neuronal circuits in the dorsomedial hypothalamus (DMH), as blocking leptin with a specific antibody, antagonist, or inhibition of the activity of LepR-expressing neurons in the DMH caused a rapid reduction of BP in DIO mice, independent of changes in weight. Re-expression of LepRs in the DMH of DIO LepR-deficient mice caused an increase in BP. These studies demonstrate that leptin couples changes in weight to changes in BP in mammalian species