254 research outputs found

    The Big-Dot Product: An Altered Dot Product

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    The dot product is a common vector operation with uses in finding perpendicular vectors and leading to vector projections. With the dot product being so useful with vectors, we explore an alteration of the definition called the big-dot product. Given vectors v and u with x as the angle between them, the dot product of vectors v and u is |v||u|sin(x), while the big-dot product with the same givens is |v||u|cos(x). The big-dot product excels with scalar multiples of vectors and areas, but yields a complicated result when finding perpendicular vectors

    Analysis of hybrid woven fabrics with shape memory alloys wires embedded

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    Until recently, Shape Memory Alloys (SMAs) were predominantly developed for applications in the biomedical and engineering industry, and only a limited number of applications in textiles are known. Fabrics made of natural fibres (e. g. cotton, flax and their mixtures) present many advantages, such as wearing comfort, but they are subject to creasing. The aim of this study was to investigate the possibility of compensating for this disadvantage by using SMAs to create aesthetic low crease flax/cotton fabrics. Body Temperature SMAs (BT SMA) that regain their (straight) form when they are subject to human body temperature were used for this purpose. Clothing and bed sheeting are potential applications of these hybrid structures, which become wrinkle-free when they are exposed to the heat of the body, a hair dryer or that generated by an electrical current. The materials selected to achieve this purpose were the following: (1) textile yarns (e. g. single cotton or flax/cotton yarns, two-fold flax yarns and two types of loop fancy yarns) and (2) BT SMA wires of 300 mu m diameter. A power weaving loom and a hand-weaving shuttle loom were used to embed the SMA wires, and four types of hybrid fabrics were produced. The thickness, wrinkle recovery, dimensional stability as well as the cohesion of the SMA wires in the woven fabric were tested. All the tests were performed before and after a washing cycle for both the hybrid and reference fabrics. An increase in thickness was noticed after washing, and the recovery time after crushing varied according to the type of fabric. The slippage of SMA wires from the fabrics was noticed for all the samples, which was dependent on the type of yarns used, their linear density and the weaving process

    Current State in U.S. Public Health Competency-Based Graduate Education

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    Abstract Calls for educational transformation by education and workforce leaders, as well as both governmental and professional organizations, have been resounding in the United States over the past decade. As a result, increased recognition of outcomes or competency-based education (CBE) has evolved across health professions education and training arenas. In public health specifically, the identification and specification of competencies related to the five long-standing, discipline-based core areas of knowledge in addition to seven cross-cutting interdisciplinary domains are now required for guiding accreditation, curriculum planning, and the measurement of student achievement in both graduate and undergraduate education. Nevertheless, full realization of CBE for potentially enhancing current educational practices, including both learning and assessment methodologies, remains in the early stages of adoption and curricular integration in both public health graduate education and the health professions at-large. This article provides an overview of the influences that have led to the consideration and development of strategies for promoting outcomes-based educational performance and accountability across post-secondary higher education in the US; evolving CBE pedagogy in public health graduate education; and experiences to date regarding success factors, barriers, and challenges encountered with the implementation of competency-based education. Recommendations for furthering educational transformation in public health are also discussed.https://deepblue.lib.umich.edu/bitstream/2027.42/136795/1/40985_2017_Article_BF03391625.pd

    Understanding long-term behaviour change techniques : a mixed methods study

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    Long-term behaviour change is essential to many societal and personal challenges, ranging from maintaining sustainable lifestyles to adherence to medical treatment. However, prior research has generally focused on interventions dealing with bounded, present-tense, and discretely measurable behaviour change problems, evaluated via relatively short-term trials. This has led to a skewed prioritisation of behaviour change techniques and left a critical gap in design guidance. Hence, there is an urgent need to (i) examine how behaviour change techniques can be abstractly prioritised and (ii) related to contextual, embodied interventions during long-term behavioural design. We address this need using a Delphi survey method with 12 international experts on behavioural intervention complemented by a reanalysis of over 100 real-world cases. This provides the basis for examining how experts prioritise the Behaviour Change Technique Taxonomy (BCTT) for the long-term, as well as how this corresponds to real-world long-term interventions. Based on this we provide essential, and as a first, guidance for long-term behavioural design as well as contributing to wider research on how to deal with the demands of long-term behaviour change

    QuantFusion: Novel Unified Methodology for Enhanced Coverage and Precision in Quantifying Global Proteomic Changes in Whole Tissues

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    Single quantitative platforms such as label-based or label-free quantitation (LFQ) present compromises in accuracy, precision, protein sequence coverage, and speed of quantifiable proteomic measurements. To maximize the quantitative precision and the number of quantifiable proteins or the quantifiable coverage of tissue proteomes, we have developed a unified approach, termed QuantFusion, that combines the quantitative ratios of all peptides measured by both LFQ and label-based methodologies. Here, we demonstrate the use of QuantFusion in determining the proteins differentially expressed in a pair of patient-derived tumor xenografts (PDXs) representing two major breast cancer (BC) subtypes, basal and luminal. Label-based in-spectra quantitative peptides derived from amino acid-coded tagging (AACT, also known as SILAC) of a non-malignant mammary cell line were uniformly added to each xenograft with a constant predefined ratio, from which Ratio-of-Ratio estimates were obtained for the label-free peptides paired with AACT peptides in each PDX tumor. A mixed model statistical analysis was used to determine global differential protein expression by combining complementary quantifiable peptide ratios measured by LFQ and Ratio-of-Ratios, respectively. With minimum number of replicates required for obtaining the statistically significant ratios, QuantFusion uses the distinct mechanisms to “rescue” the missing data inherent to both LFQ and label-based quantitation. Combined quantifiable peptide data from both quantitative schemes increased the overall number of peptide level measurements and protein level estimates. In our analysis of the PDX tumor proteomes, QuantFusion increased the number of distinct peptide ratios by 65%, representing differentially expressed proteins between the BC subtypes. This quantifiable coverage improvement, in turn, not only increased the number of measurable protein fold-changes by 8% but also increased the average precision of quantitative estimates by 181% so that some BC subtypically expressed proteins were rescued by QuantFusion. Thus, incorporating data from multiple quantitative approaches while accounting for measurement variability at both the peptide and global protein levels make QuantFusion unique for obtaining increased coverage and quantitative precision for tissue proteomes

    Transcription controls growth, cell kinetics and cholesterol supply to sustain ACTH responses

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    Chronic ACTH exposure is associated with adrenal hypertrophy and steroidogenesis. The underlying molecular processes in mice have been analysed by microarray, histological and immunohistochemical techniques. Synacthen infused for 2 weeks markedly increased adrenal mass and plasma corticosterone levels. Microarray analysis found greater than 2-fold changes in expression of 928 genes (P < 0.001; 397 up, 531 down). These clustered in pathways involved in signalling, sterol/lipid metabolism, cell proliferation/hypertrophy and apoptosis. Signalling genes included some implicated in adrenal adenomas but also upregulated genes associated with cyclic AMP and downregulated genes associated with aldosterone synthesis. Sterol metabolism genes were those promoting cholesterol supply (Scarb1, Sqle, Apoa1) and disposal (Cyp27a1, Cyp7b1). Oil red O staining showed lipid depletion consistent with reduced expression of genes involved in lipid synthesis. Genes involved in steroidogenesis (Star, Cyp11a1, Cyp11b1) were modestly affected (P < 0.05; <1.3-fold). Increased Ki67, Ccna2, Ccnb2 and Tk1 expression complemented immunohistochemical evidence of a 3-fold change in cell proliferation. Growth arrest genes, Cdkn1a and Cdkn1c, which are known to be active in hypertrophied cells, were increased >4-fold and cross-sectional area of fasciculata cells was 2-fold greater. In contrast, genes associated with apoptosis (eg Casp12, Clu,) were downregulated and apoptotic cells (Tunel staining) were fewer (P < 0.001) and more widely distributed throughout the cortex. In summary, long-term steroidogenesis with ACTH excess is sustained by genes controlling cholesterol supply and adrenal mass. ACTH effects on adrenal morphology and genes controlling cell hypertrophy, proliferation and apoptosis suggest the involvement of different cell types and separate molecular pathways

    Clinical factors associated with a conservative gait pattern in older male veterans with diabetes

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    <p>Abstract</p> <p>Background</p> <p>Patients with diabetes and peripheral neuropathy are at higher risk for falls. People with diabetes sometimes adopt a more conservative gait pattern with decreased walking speed, widened base, and increased double support time. The purpose of this study was to use a multivariate approach to describe this conservative gait pattern.</p> <p>Methods</p> <p>Male veterans (mean age = 67 years; SD = 9.8; range 37–86) with diabetes (n = 152) participated in this study from July 2000 to May 2001 at the Veterans Affairs Medical Center, White River Junction, VT. Various demographic, clinical, static mobility, and plantar pressure measures were collected. Conservative gait pattern was defined by visual gait analysis as failure to demonstrate a heel-to-toe gait during the propulsive phase of gait.</p> <p>Results</p> <p>Patients with the conservative gait pattern had lower walking speed and decreased stride length compared to normal gait. (0.68 m/s v. 0.91 m/s, <it>p </it>< 0.001; 1.04 m v. 1.24 m, <it>p </it>< 0.001) Age, monofilament insensitivity, and Romberg's sign were significantly higher; and ankle dorsiflexion was significantly lower in the conservative gait pattern group. In the multivariate analysis, walking speed, age, ankle dorsiflexion, and callus were retained in the final model describing 36% of the variance. With the inclusion of ankle dorsiflexion in the model, monofilament insensitivity was no longer an independent predictor.</p> <p>Conclusion</p> <p>Our multivariate investigation of conservative gait in diabetes patients suggests that walking speed, advanced age, limited ankle dorsiflexion, and callus describe this condition more so than clinical measures of neuropathy.</p

    Comparison of the Membrane Proteome of Virulent Mycobacterium tuberculosis and the Attenuated Mycobacterium bovis BCG Vaccine Strain by Label-Free Quantitative Proteomics

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    The Mycobacterium tuberculosis (MTB) membrane is rich in antigens that are potential targets for diagnostics and the development of new vaccines. To better understand the mechanisms underlying MTB virulence and identify new targets for therapeutic intervention we investigated the differential composition of membrane proteomes between virulent M. tuberculosis H37Rv (MTB) and the Mycobacterium bovis BCG vaccine strain. To compare the membrane proteomes, we used LC-MS/MS analysis in combination with label-free quantitative (LFQ) proteomics, utilizing the area-under-curve (AUC) of the extracted ion chromatograms (XIC) of peptides obtained from m/z and retention time alignment of MS1 features. With this approach, we obtained relative abundance ratios for 2,203 identified membrane-associated proteins in high confidence. Of these proteins, 294 showed statistically significant differences of at least 2 fold, in relative abundance between MTB and BCG membrane fractions. Our comparative analysis detected several proteins associated with known genomic regions of difference between MTB and BCG as being absent, which validated the accuracy of our approach. In further support of our label-free quantitative data, we verified select protein differences by immunoblotting. To our knowledge we have generated the first comprehensive and high coverage profile of comparative membrane proteome changes between virulent MTB and its attenuated relative BCG, which helps elucidate the proteomic basis of the intrinsic virulence of the MTB pathogen
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