8,639 research outputs found
The Impact of Education on Fear of Falling in Elderly Women
Context: More than one third of individuals 65 and older fall each year. Approximately 85% of these falls occur in the homes of independent older adults. Falls can lead to an increased fear of falling, defined as a pervasive concern that a fall may occur. Fear of falling can decrease quality of life due to a lower sense of well-being, limiting mobility, and reduction of social interaction. Reduction in activity can result in a sedentary lifestyle and poor balance which increases the risk of falling. Fifty percent of women 75 years and older participate in no physical activity beyond activities of daily living. Older women, on average, participate in half the amount of moderate and vigorous activity as young women. Activity and education based programs have been shown to increase balance confidence in all participants independent of the program they participated in.The aim of the intervention utilized in this study was to decrease fear of falling in elderly women and improve their overall quality of life. Objective: The purpose of the study was to determine how an educational intervention that utilized balance training and home safety assessment would impact fear of falling in elderly women at different activity levels based on the results from activPAL technology. Setting: All subject were tested at Butterfield Trail Village in Fayetteville, AR for all assessments. Participants: Eight older women; 3 in the high activity group, 2 in the moderate activity group, and 3 in the low activity group. The mean age was 79.1 years, the mean height was 161.7 cm, and the mean weight was 61.1 kg. Methods: The participants were recruited from Butterfield Trail senior living community. The participants were given a health history questionnaire and informed consent. The pre-assessment given was the Falls Efficacy Scale- International (FES-I) to determine the participants’ fear of falling. activPAL monitors were given to each participant to wear for 7 days to determine activity level. A one-on-one education session was conducted with each participant after activity assessment. A post FES-I assessment was given after completion of the education session. Main Outcome Measures: A dependent t-test was conducted to compare pre and post FES-I scores. Differences between groups (group x time) were assessed using a repeated measures ANOVA. Statistical significance was set at α = .05. Correlational analysis was conducted to examine the relationship between fear of falling and activity level Results: Statistical significance was not found in any of the outcome measures. Mean FES-I scores dependent t-test: pre 25.5 + 5.9, post 30.5 + 7.2, mean difference -1.9, p-value .58. Repeated measures ANOVA: low activity pre 27.7 + 3.5 post 32.3 + 8.1, moderate activity pre 31.0 + 1.4 post 33.5 + 6.4, high activity pre 19.0 + 3.0 post 26.7 + 7.6. Correlational analysis: a moderate correlation (-.63) was found between activity level and fear of falling. Conclusion: The education intervention utilized in this study that used a variety of materials and techniques was not effective in reducing fear of falling in elderly women across all activity levels
Semiclassical transport in nearly symmetric quantum dots II: symmetry-breaking due to asymmetric leads
In this work - the second of a pair of articles - we consider transport
through spatially symmetric quantum dots with leads whose widths or positions
do not obey the spatial symmetry. We use the semiclassical theory of transport
to find the symmetry-induced contributions to weak localization corrections and
universal conductance fluctuations for dots with left-right, up-down, inversion
and four-fold symmetries. We show that all these contributions are suppressed
by asymmetric leads, however they remain finite whenever leads intersect with
their images under the symmetry operation. For an up-down symmetric dot, this
means that the contributions can be finite even if one of the leads is
completely asymmetric. We find that the suppression of the contributions to
universal conductance fluctuations is the square of the suppression of
contributions to weak localization. Finally, we develop a random-matrix theory
model which enables us to numerically confirm these results.Comment: (18pages - 9figures) This is the second of a pair of articles (v3
typos corrected - including in equations
Mark 3 correlator hardware and software
The Mark 3 correlator system is described in some detail. The correlator system is based on a modular philosophy. Each correlator module independently processes the data from one track pair. Therefore, 28 modules are necessary to complete a full one baseline processor and 84 modules for a full 3 baseline processor. Each correlator module has two interfaces: (1) data and clock from each of the two tracks to be correlated and (2) Computer Automated Measurement and Control (CAMAC) dataway interface to the computer. The processor is organized around the IEEE CAMAC standard architecture, housing 15 correlator modules in each of 6 crates. This allows one pass processing of a full 3 baseline 28 track observation or a 6 baseline (4 station) 14 track observation. The correlator architecture allows easy expansion for up to 8 stations. The computer system is an HP 1000 system utilizing a 16 bit minicomputer with disc and tape peripherals. The processing software is also organized in a modular fashion with many independent but cooperative programs controlling the operation of the Mark 3 processor. Processing time through the correlator is normally real time or faster, with graphics displays providing real time monitor and control of the processing operation
Inhibition of tumor–microenvironment interaction and tumor invasion by small-molecule allosteric inhibitor of DDR2 extracellular domain
Mark 3 real-time fringe detection system
A RAM memory built into the Mark 3 decoder module allows the capture of 1 Megabit of data. Data may be collected either in real time or from a pre-recorded tape. Once collected, the data may be retrieved using a standard EIA serial data link. The data may be transmitted to a remote computer for cross correlation processing with similar data from other stations to verify fringes in real time. The data may also be analyzed by a local computer to verify phase calibration, bandpass, format, etc., during a Mark 3 observing session
The Unusual Substrate Specificity of a Virulence Associated Serine Hydrolase from the Highly Toxic Bacterium, \u3cem\u3eFrancisella tularensis\u3c/em\u3e
Francisella tularensis is the causative agent of the highly, infectious disease, tularemia. Amongst the genes identified as essential to the virulence of F. tularensis was the proposed serine hydrolase FTT0941c. Herein, we purified FTT0941c to homogeneity and then characterized the folded stability, enzymatic activity, and substrate specificity of FTT0941c. Based on phylogenetic analysis, FTT0941c was classified within a divergent Francisella subbranch of the bacterial hormone sensitive lipase (HSL) superfamily, but with the conserved sequence motifs of a bacterial serine hydrolase. FTT0941c showed broad hydrolase activity against diverse libraries of ester substrates, including significant hydrolytic activity across alkyl ester substrates from 2 to 8 carbons in length. Among a diverse library of fluorogenic substrates, FTT0941c preferred α-cyclohexyl ester substrates, matching with the substrate specificity of structural homologues and the broad open architecture of its modeled binding pocket. By substitutional analysis, FTT0941c was confirmed to have a classic catalytic triad of Ser115, His278, and Asp248 and to remain thermally stable even after substitution. Its overall substrate specificity profile, divergent phylogenetic homology, and preliminary pathway analysis suggested potential biological functions for FTT0941c in diverse metabolic degradation pathways in F. tularensis
On well-rounded sublattices of the hexagonal lattice
We produce an explicit parameterization of well-rounded sublattices of the
hexagonal lattice in the plane, splitting them into similarity classes. We use
this parameterization to study the number, the greatest minimal norm, and the
highest signal-to-noise ratio of well-rounded sublattices of the hexagonal
lattice of a fixed index. This investigation parallels earlier work by
Bernstein, Sloane, and Wright where similar questions were addressed on the
space of all sublattices of the hexagonal lattice. Our restriction is motivated
by the importance of well-rounded lattices for discrete optimization problems.
Finally, we also discuss the existence of a natural combinatorial structure on
the set of similarity classes of well-rounded sublattices of the hexagonal
lattice, induced by the action of a certain matrix monoid.Comment: 21 pages (minor correction to the proof of Lemma 2.1); to appear in
Discrete Mathematic
Analytical and Experimental Study of Flow Through an Axial Turbine Stage with a Nonuniform Inlet Radial Temperature Profile
Results are presented for a typical nonuniform inlet radial temperature profile through an advanced single-stage axial turbine and compared with the results obtained for a uniform profile. Gas temperature rises of 40 K to 95 K are predicted at the hub and tip corners at the trailing edges of the pressure surfaces in both the stator and rotor due to convection of hot fluid from the mean by the secondary flow. The inlet temperature profile is shown to be mixed out at the rotor exit survey plane (2.3 axial chords downstream of the rotor trailing edge) in both the analysis and the experiment. The experimental rotor exit angle profile for the nonuniform inlet temperature profile indicates underturning at the tip caused by increased clearance. Severe underturning also occurs at the mean, both with and without the nonuniform inlet temperature profile. The inviscid rotational flow code used in the analysis fails to predict the underturning at the mean, which may be caused by viscous effects
The Prohibition of Moonshine: A Consumer Protection Analysis of Raw Milk in Interstate Commerce
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