Osteoarthritis, entheses, and long bone cross-sectional geometry in the Andes: Usage, history, and future directions.

Akin to approaches encouraged by Verano (1997) in the Andes, and Ortner (2011, 2012) for general paleopathological studies, this article focuses on accurate descriptions and definitions of osteoarthritis, entheses, and long bone cross-sectional geometry. By evaluating these conditions as part of biological responses to abnormal skeletal changes and biomechanical stress, this research discusses each condition's pathogenesis. Further, this article emphasizes a "small data" approach to evaluating these conditions in ancient culturally and biologically related human populations, where the study samples must have good skeletal preservation, where estimates of age and sex need to be included as major factors, and where abnormalities need to be described and evaluated. This article also discusses global clinical and osteological research on ways scholars are currently trying to establish industry-wide methods to evaluate osteoarthritis, entheses, and long bone cross-sectional geometry. Recent studies have focused on rigorous evaluation of methodological techniques, recording protocols, and inter- and intra-observer error problems. Additionally, scholars have focused on physical intensity of movement using biomechanics, evaluated burials of known occupation, and used complex statistical methods to help interpret skeletal changes associated with these conditions. This article also narrows to focus on these conditions within thematic "small data" areas throughout the Andes. This research concludes with describing future directions to understand skeletal changes, such as more multidisciplinary studies between osteologists and pathologists, collaborations with living people to collect CT, x-rays, or computer-aided motion capture, and a stronger focus on how these conditions correlate with intense biomechanical changes in younger individuals

trackr: A Framework for Enhancing Discoverability and Reproducibility of Data Visualizations and Other Artifacts in R

Research is an incremental, iterative process, with new results relying and building upon previous ones. Scientists need to find, retrieve, understand, and verify results in order to confidently extend them, even when the results are their own. We present the trackr framework for organizing, automatically annotating, discovering, and retrieving results. We identify sources of automatically extractable metadata for computational results, and we define an extensible system for organizing, annotating, and searching for results based on these and other metadata. We present an open-source implementation of these concepts for plots, computational artifacts, and woven dynamic reports generated in the R statistical computing language

Teachers’ judgement accuracy of word problems and influencing task features

The ability to judge accurately the difficulty of mathematical tasks is considered as a central facet of the diagnostic competence of mathematics teachers. An underlying reason is that the accurate judgement of task difficulty is the basis for achieving an optimal level of instruction for the learning group. Although a lot of studies have already investigated the judgement accuracy and the influence of additional factors, like teacher knowledge, there is a lack of a detailed look at the task features as possible influencing factors. Therefore, in the present study, we first investigated the judgement accuracy of word problems with fractions. Afterwards, by means of theoretical varied task features and an empirical study with 153 6th graders as well as 64 prospective teachers, we explored differences in the tasks regarding the judgement accuracy.This research was funded by the Ministry of Science, Research and Arts of Baden-Wuerttemberg within the Research Training Group “Diagnostic Competences of Teachers”

Identifying Factors of E-Government Acceptance – A Literature Review

The digital revolution has arrived in the halls of public administrations. E-Government, which has been a buzzword for all kinds of computer usage in the governmental context for several years, has started to become an ordinary way for public administrations to organise their work. Document and workflow management systems as well as process reorganisation in the backend and electronic taxation systems or digital ID cards on the frontend side all belong to the portfolio of concepts summarised by e-Government. However, in spite of the advantages that go along with these developments, adoption of e-Government services is still rather low both on the citizens’ side as well as by the employees of public administrations. We conducted a literature review identifying the factors that influence the acceptance of e-Government services by different stakeholders and provide a framework of future research needs

Study of Xenopus orthologs of novel genes expressed in the mouse AVE

info:eu-repo/semantics/publishedVersio

Transforming Physical Therapy Education Through the Use of Social Network Analysis

PURPOSE Social Network Analysis (SNA) is a quantitative method to study the patterning and effect of relationships and how individual connections form into social structures that influence outcomes of the group. The purpose of this study is to explain the underpinnings of SNA and its application to PT education for student success and faculty development. This study is innovative and will be beneficial to the profession because there is currently no published literature exploring how PT education is influenced by social structures. METHODS/DESCRIPTION The aims of this study are to describe SNA and outline its potential to transform PT education. A literature search to identify studies that provide a theoretical framework and uses of SNA was performed using the following databases: CINAHL, Academic Search Complete, MEDLINE, Scopus and ProQuest. Studies in education, organizational management, and sociology were reviewed. RESULTS/OUTCOMES Only recently has SNA been identified as relevant in medical education despite wide use in the business and military sectors. Social Network Analysis focuses on relational data that explores 1) influences of direct and indirect ties, 2) structures and composition for enhancing or constraining information spread, and 3) impact of one’s position in the network. There is evidence network size is just as important as the depth and breadth of experiences each member-connection brings. Given that education and teaching are social in nature, opportunities for the use of SNA in PT education are abundant. It could shed light on the relationships between students, faculty and even entities on social media platforms. Early network analysis of a PT cohort could transform the PT educational experience through early identification to remediate students with ineffective networks for collaboration, information sharing and support. Another application includes measuring the flow of information and noting which students are brokering information that aids in maximizing the collaborations for team-based care. An effective network could also positively impact PT faculty and may reduce tension between the requirements of teaching, scholarly activity and service for progress toward goals of promotion and tenure. Network collaboration was shown by medicine faculty to provide vital knowledge and maximizing scholarly activity. Exploring aspects of PT faculty professional networks could lead to valuable information to balance the composition of network members’ expertise and leverage connections. CONCLUSIONS/RELEVANCE The value of SNA includes the ability to quantify relationships between people and explore how connections emerge as an asset or constraint. Adding measurement of relational factors to individual information could significantly increase the evidence to guide our understanding of actions for PT students and faculty success. Currently, SNA has not been reported in PT education literature but is a methodology that will produce substantial insights to transforming PT education. FUNDING SOURCE Funding provided by the College of Allied Health Professions, University of Nebraska Medical Center and Education Section of the American Physical Therapy Associatio

The Protective and Therapeutic Function of Small Heat Shock Proteins in Neurological Diseases

Historically, small heat shock proteins (sHSPs) have been extensively studied in the context of being intracellular molecular chaperones. However, recent studies looking at the role of sHSPs in neurological diseases have demonstrated a near universal upregulation of certain sHSPs in damaged and diseased brains. Initially, it was thought that sHSPs are pathological in these disease states because they are found in the areas of damage. However, transgenic overexpression and exogenous administration of sHSPs in various experimental disease paradigms have shown just the contrary – that sHSPs are protective, not pathological. This review examines sHSPs in neurological diseases and highlights the potential for using these neuroprotective sHSPs as novel therapeutics. It first addresses the endogenous expression of sHSPs in a variety of neurological disorders. Although many studies have examined the expression of sHSPs in neurological diseases, there are no review articles summarizing these data. Furthermore, it focuses on recent studies that have investigated the therapeutic potential of sHSPs for neurological diseases. Finally, it will explain what we think is the function of endogenous sHSPs in neurological diseases