4,993 research outputs found
Estimating the avoidable burden of certain modifiable risk factors in osteoporotic hip fracture using Generalized Impact Fraction (GIF) model in Iran
Backgrounds: The number of hip fractures, the most common complication of osteoporosis, has increased rapidly over the past decades. The goal of this study is to estimate the avoidable burden of certain modifiable risk factor of the condition using the Generalized Impact Fraction (GIF) model, which has been suggested and used by epidemiologists to overcome the drawbacks associated with the use of Attributable Fraction index. In addition to preventing a risk factor or the avoidable fraction of burden, this index can also calculate the change in the burden, when a risk factor is altered.Methods: International databases were searched through PubMed, CINAHLD, Embase using OVID and Google scholar. National resources were searched through IranDoc, IranMedex, SID and Journal sites. Other resources include abstract books and articles sent to the IOF congress. The following search strategy was used: (" Osteoporotic fracture" OR " Fragility Hip fracture" OR " Calcium" OR " vitamin D" OR " BMI" OR " lean body weight" OR " Physical activity" OR " exercise" OR " Smoke" ) AND (" prevalence" OR " incidence" OR " relative risk" ) and limited to " humans." Results: With regards to different scenarios already explained in modifying the studied risk factors, the greatest impact in reducing the prevalence of risk factors on osteoporotic hip fractures, was seen in low serum vitamin D levels, low physical activity and low intake of calcium and vitamin D, respectively. According to the fact that interventions for low serum vitamin D and low intake of calcium and vitamin D, are related to each other, it can be concluded that implementing interventions to change these two risk factors, in the easy, moderate and difficult scenarios, would result in approximately a 5%, 11% and 17% decrease in the burden of osteoporotic hip fractures, respectively. The addition of interventions addressing low physical activity in the easy, moderate and difficult scenarios, an 8%, 21% and 35% reduction in the burden of osteoporotic hip fractures would be reported, respectively.Conclusion: Improving serum vitamin D levels, recommending the consumption of calcium and vitamin D supplementations and advocating physical activity are the most effective interventions to reduce the risk of osteoporotic hip fractures. © 2013 Shahnazari et al; licensee BioMed Central Ltd
What sets the magnetic field strength and cycle period in solar-type stars?
Two fundamental properties of stellar magnetic fields have been determined by
observations for solar-like stars with different Rossby numbers (Ro), namely,
the magnetic field strength and the magnetic cycle period. The field strength
exhibits two regimes: 1) for fast rotation it is independent of Ro, 2) for slow
rotation it decays with Ro following a power law. For the magnetic cycle period
two regimes of activity, the active and inactive branches, also have been
identified. For both of them, the longer the rotation period, the longer the
activity cycle. Using global dynamo simulations of solar like stars with Rossby
numbers between ~0.4 and ~2, this paper explores the relevance of rotational
shear layers in determining these observational properties. Our results,
consistent with non-linear alpha^2-Omega dynamos, show that the total magnetic
field strength is independent of the rotation period. Yet at surface levels,
the origin of the magnetic field is determined by Ro. While for Ro<1 it is
generated in the convection zone, for Ro>1 strong toroidal fields are generated
at the tachocline and rapidly emerge towards the surface. In agreement with the
observations, the magnetic cycle period increases with the rotational period.
However, a bifurcation is observed for Ro~1, separating a regime where
oscillatory dynamos operate mainly in the convection zone, from the regime
where the tachocline has a predominant role. In the latter the cycles are
believed to result from the periodic energy exchange between the dynamo and the
magneto-shear instabilities developing in the tachocline and the radiative
interior.Comment: 43 pages, 14 figures, accepted for publication in The Astrophysical
Journa
Training Software Effectiveness Applied by the Mothers to Their Autistic Children at Home Remotely to Develop Their Self-Care Skills Under the Supervision of the Specialist
This study represented a Training software applied by mothers to their autistic children at home remotely to develop their self-care skills through computer activities such as toothbrushing, hand washing, toilet use skills, wearing and taking off clothes skills Under the supervision of the specialist, the Course-lab program will introduce the software & flowchart to define the flow of the software. The main objective of the study here is twofold, one of which is to develop the capacity of the mother in training her autistic child in self-care skills and to recognize the effectiveness of the software in developing the capacity of the autistic child. This study is based on an experimental approach. Researchers prepared a questionnaire consisting of 60 phrases to measure a childs performance on these skills before and after the use and practical application of the software. The participants consist of 11 children and 11 mothers in a six-month period, and a sample was collected from mothers and children of rehabilitation centers in the Eastern Province of Saudi Arabia. Data were analyzed by statistical methods using the SPSS program, version No. 24. The descriptive statistics were used to process data and the percentage of gains of Blacks Modifies adjustments. Among the most important findings of the study was the improved performance of children in acquiring self-care skills, as well as the improved performance of mothers in applying self-care skills to their children this is reflected in Blakes modified gains to detect the effectiveness of the application 1.42, indicating acceptable and highly effective categories, and average pre-training scores calculated. (Before the introduction of the self-care skills development program for children with autism) where the average in tribal measurement was 40.13 by contrast, the corresponding average in dimensional measurement was 88.43 in favor of dimensional measurement and the calculated Z value exceeded the scheduled test value of Z (0.05 and 0.01, respectively; p ≤ 0.000) indicating the effectiveness of the software used
B-T phase diagram of CoCr2O4 in magnetic fields up to 14 T
We have measured the magnetization and specific heat of multiferroic CoCr2O4
in magnetic fields up to 14 T. The high-field magnetization measurements
indicate a new phase transition at T* = 5 - 6 K. The phase between T* and the
lock-in transition at 15 K is characterized by magnetic irreversibility. At
higher magnetic fields, the irreversibility increases. Specific-heat
measurements confirm the transition at T*, and also show irreversible behavior.
We construct a field-temperature phase diagram of CoCr2O4.Comment: 4 page
A new class of sum rules for products of Bessel functions
In this paper we derive a new class of sum rules for products of the Bessel
functions of first kind. Using standard algebraic manipulations we extend some
of the well known properties of . Some physical applications of the
results are also discussed. A comparison with the Newberger[J. Math. Phys.
\textbf{23} (1982) 1278] sum rules is performed on a typical example.Comment: Published in Journal of Mathematical Physics, 9 pages, no picture
Forecasting Remission Time of a Treatment Method for Leukemia as an Application to Statistical Inference Approach
In this paper, Weibull-Linear Exponential distribution (WLED) has been investigated whether being it is a well - fit distribution to a clinical real data. These data represent the duration of remission achieved by a certain drug used in the treatment of leukemia for a group of patients. The statistical inference approach is used to estimate the parameters of the WLED through the set of the fitted data. The estimated parameters are utilized to evaluate the survival and hazard functions and hence assessing the treatment method through forecasting the duration of remission times of patients. A two-sample prediction approach has been applied to obtain a predictive sample based on the Bayes estimates of the parameters. The statistical inference approach is applied to the case of censored data namely Type-II hybrid censoring scheme, which is common in clinical studies
L’atteinte nerveuse au cours du syndrome de gougerot - sjögren, a propos d’un cas
Description Les complications neurologiques au cours du syndrome de Gougerot-Sjögren se voient dans 8,5 à 70 % des cas. Les données de la littérature concernant le système nerveux périphérique sont nombreuses et assez concordantes. En revanche les données concernant les manifestations centrales sont beaucoup plus rares et discordantes. Objectifs Décrire les différentes atteintes neurologiques qui peuvent se voir au cours du syndrome de Gougerot- Sjögren. Résultats Les auteurs rapportent l’observation d’une femme de 67 ans qui présentait une hypertrophie de toutes les glandes salivaires associée à une paralysie du facial droit et une hypoesthésie du territoire du trijumeau homolatéral. Les explorations paracliniques comprenant une biopsie labiale et une IRM cérébrale ont permis de conclure en faveur d’un syndrome de Gougerot-Sjögren. La patiente a bénéficié d’un traitement corticoïde par voie générale avec régression totale des atteintes salivaire et nerveuse au bout de 2 mois Conclusion Le syndrome de Gougerot-Sjögren est une pathologie chronique auto-immune qui touche essentiellement les glandes exocrines. Il peut associer aussi une atteinte extra-glandulaire. L’atteinte nerveuse est possible mais rarement vue dans le cadre de ce syndrome (20%). L’atteinte des paires crâniennes est encore plusrare et prédomine surtout sur le trijumeau
Postprocessing for quantum random number generators: entropy evaluation and randomness extraction
Quantum random-number generators (QRNGs) can offer a means to generate
information-theoretically provable random numbers, in principle. In practice,
unfortunately, the quantum randomness is inevitably mixed with classical
randomness due to classical noises. To distill this quantum randomness, one
needs to quantify the randomness of the source and apply a randomness
extractor. Here, we propose a generic framework for evaluating quantum
randomness of real-life QRNGs by min-entropy, and apply it to two different
existing quantum random-number systems in the literature. Moreover, we provide
a guideline of QRNG data postprocessing for which we implement two
information-theoretically provable randomness extractors: Toeplitz-hashing
extractor and Trevisan's extractor.Comment: 13 pages, 2 figure
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