Miracle-dz/UniFAR-FTUs huggingface dataset:
Cognitive Determinants of Physical Activity Intention among Iranian Nurses : An Application of Integrative Model of Behavior Prediction

Introduction: Sedentary lifestyle and physical inactivity is recognized as a risk factor for various diseases. Nurses have a special place among healthcare team members, and their numerous roles require nurses to have good physical fitness. The present study aimed to determine cognitive factors related to doing regular physical activity among a sample of Iranian nurses based on the integrative model of behavior prediction (IMBP). Methods: This cross-sectional study was conducted in 2016 on a sample of 418 nurses who were working in medical teaching hospitals in Isfahan and Sanandaj in Iran. Participants were randomly selected proportionally to staff size among different hospitals. A structured questionnaire was applied for collecting data and data were analyzed by SPSS version 16 using correlations, linear and logistic regression statistical tests. Results: Mean age of the subjects was 33.1 years (range, 21-53 years). 66.6%, 25.4%, and 8% had low, moderate, and severe physical activity, respectively. The best predictors for doing regular physical activity were skills with OR of 1.203 [95% CI: 1.093, 1.324], and attitude with OR of 1.023 [95% CI: 1.023, 1.034]. The IMBP variable, accounted for 34% of the variation in the outcome measure of the intention to do physical activity. Conclusion: Based on our result, it seems that designing and implementation of educational programs to increase attitude and skills regarding doing physical activity may be useful in the promotion of physical activity.
COEFICIENTE DE DIGESTIBILIDADE APARENTE DE ALIMENTOS UTILIZADOS EM DIETAS DE TAMBAQUI

A qualidade da dieta pode ser avaliada quantificando a habilidade dos peixes para digerir os alimentos. Portanto, este estudo teve como objetivo determinar os coeficientes de digestibilidade aparente (CDA) para proteína bruta (PB), extrato etéreo (EE) e energia bruta (EB) de nove ingredientes proteicos e sete ingredientes energéticos mais comumente usados em dietas comerciais para tambaqui. No total, 510 juvenis de tambaqui foram alimentados com dietas-teste contendo uma dieta de referência suplementada com um marcador de digestibilidade inerte (Cr2O3). As análises de digestibilidade mostraram que o glúten de milho apresentou o CDAPB(98,09%) e CDAEB (96,91%) mais alto, enquanto que a levedura de álcool apresentou o menor CDAPB (63,17%) e CDAEB (46,24%). Os ingredientes proteicos foram revelados como excelentes fontes de lipídios (CDAEE > 85,0%), com exceção do glúten de trigo (CDAEE: 63,73%). O milho (94,5%) e o farelo de trigo (86,08%) apresentaram o CDAPB mais alto de todos os ingredientes energéticos. Não foram observadas diferenças significativas no CDAEE dos ingredientes energéticos testados. Dos ingredientes energéticos testados, o óleo de milho (95,7%), óleo de peixe (93,61%), o óleo de soja (93,31%) e o milho (88,70%) apresentaram o CDAEB mais alto. O uso de ingredientes proteicos e energéticos com altos coeficientes de digestibilidade, como os relatados, pode orientar a formulação de dietas de alta qualidade para tambaqui.
Capital Regulation, Liquidity Requirements and Taxation in a Dynamic Model of Banking

This paper studies the impact of bank regulation and taxation in a dynamic model where banks are exposed to credit and liquidity risk and can resolve financial distress in three costly forms: bond issuance, equity issuance or fire sales. We find an inverted U-shaped relationship between capital requirements and bank lending, efficiency, and welfare, with their benefits turning into costs beyond a certain threshold. By contrast, liquidity requirements reduce lending, efficiency and welfare significantly. On taxation, corporate income taxes generate higher government revenues and entail lower efficiency and welfare costs than taxes on non-deposit liabilities.
Why do Firms Gravitate to Selective Disclosure

In this paper, we present a theoretical model to explain why rms gravitate to selective disclosure. We consider a setting where a rm chooses its disclosure policy to maximize its price informativeness (i.e., how much information is impounded in the price, measured by the posterior precision of true value conditional on the price) in a market with dierent types of traders. Through ex-ante acquisition of expertise, traders become sophisticated and improve their ability to better interpret the information disclosed by the rm. We show that rms sometimes prefer to disclose information selectively, providing information exclusively to sophisticated traders, rather than to the public. The primary reason is that selective disclosure promotes the ex-ante expertise acquisition among traders. Consequently, under selective disclosure, the aggregate information quality is overall higher and prices are more informative than under public disclosure. However, selective disclosure may reduce uninformed traders’ welfare.
Chapter 1 Fourier based valuation methods in mathematical finance

A fundamental problem of mathematical finance is the explicit computation of expectations which arise as prices of derivatives. What leads to simple formulas in the classical setting when the underlying random quantity is modeled by a geometric Brownian motion, turns out to be rather nontrivial in more sophisticated modeling approaches. There is overwhelming statistical evidence that Brownian motion as the driver of models in equity, fixed income, credit and foreign exchange markets produces distributions which are far from reality and can be considered as first approximations at best. Lévy processes are a much more flexible class of drivers. They can be parametrized with a low-dimensional set and at the same time generate distributions which are more realistic from a statistical point of view. However in Lévy models simple closed-form valuation formulas are typically not available even in the case of plain vanilla European options. The situation is worse for more complicated exotic options. Efficient methods to compute prices of derivatives are crucial in particular for calibration purposes. During a calibration procedure in each iteration step typically a large number of model prices has to be computed and compared to market prices. Models which cannot be calibrated within reasonable time limits are useless for most applications. A method which almost always works to get expectations is Monte Carlo simulation. Its disadvantage is that it is computer intensive and therefore too slow for many purposes. Another classical approach is to represent prices as solutions of partial differential equations (PDEs) which in the case of Lévy processes with jumps become partial integro-differential equations (PIDEs). This approach applies to a wide range of valuation problems, in particular it allows to compute prices of American options as well. Nevertheless the numerical solution of PIDEs rests on sophisticated discretization methods and corresponding programs. It is the purpose of this article to discuss the state of the art of a third approach which is based on Fourier methods and which is relatively simple.
Finite Element Analysis of Cemented Hip Arthroplasty: Influence of Stem Tapers

Design of hip prosthesis is believed to be an important factor to minimize the aseptic loosening problems and to encourage long term stability. The numerous changes in the cemented femoral stem design have been intended to improve the long term performance of the implants, although have had other negative consequences. In this study, a finite element model of the implanted proximal femur to examine stresses behaviors in cemented hip arthroplasty with different tapered design of prosthesis. The calculated stress distribution is discussed with respect to stress shielding and bone remodeling issues in THR femur case. The taper of the prosthesis were design to be 3° at anterior/posterior, 3° at medial/lateral and 10° from wide lateral to narrow medial. Two different load cases representing walking (toe-off phase) and stair-climbing activities are investigated. Proper stress and strain distribution along the femur will enhance bone growth and keep the femur to function as normal as intact femur.
Removal of Mn, Fe, Ni and Cu Ions from Wastewater Using Cow Bone Charcoal

Cow bone charcoal (CBC) was synthesized and used for the removal of metals ions (manganese, iron, nickel and copper) from aqueous solutions. Two different adsorption models were used for analyzing the data. Adsorption capacities were determined: copper ions exhibit the greatest adsorption on cow bone charcoal because of their size and pH conditions. Adsorption capacity varies as a function of pH. Adsorption isotherms from aqueous solution of heavy metals on CBC were determined. Adsorption isotherms are consistent with Langmuir´s adsorption model. Adsorbent quantity and immersion enthalpy were studied.
Systematic Lumped-Element Modeling of Differential IC Transmission Lines

In this paper, we report a systematic and efficient approach to obtain lumped-element models for differential integrated-circuit interconnect transmission lines covering both the low-frequency R/C as well as the high-frequency quasi-TEM behavior. To accurately model signal delay and loss, and to preserve causality, the frequency dependence of both line resistance as well as the line inductance is included in our model. The impact of ground inductance is also properly covered by the model. The validity of our approach is verified against experimental data collected up to 120 GHz for the even and odd modes on these differential transmission lines. We predict that these lines can transport data over 1-cm distance with rates up to 40 Gb/s, even with some imbalance in differential drive.
Speculation on the Neuropsychology of Teleoperation: Implications for Presence Research and Minimally Invasive Surgery

Teleoperation is now common in high-risk work domains, particularly in surgery with the extensive use of remote, minimally invasive techniques. While this new technology affords a novel means by which to control human action for surgical intervention, interface design often constrains the operator in unorthodox ways, requiring considerable adaptation and raising patient safety concerns. There is a need to objectively measure operator adaptation, evaluate varying teleoperator interface designs and assess the efficacy of the virtual reality trainers that simulate teleoperation. This paper highlights the potential for a neuroergonomic approach to these problems. It first delineates some of the task demands unique to teleoperation in minimally invasive surgery and then speculates on the neural basis of those tasks with reference to select neuropsychological literature. The integration of this literature serves to indicate that teleoperation may engage a unique pattern of brain processing and that neuropsychological measurement may therefore be useful in evaluating the design of the teleoperation interface and teleoperator adaptation.
An Empirical Approach to Studying Software Evolution

With the approach of the new millennium, a primary focus in software engineering involves issues relating to upgrading, migrating, and evolving existing software systems. In this environment, the role of careful empirical studies as the basis for improving software maintenance processes, methods, and tools is highlighted. One of the most important processes that merits empirical evaluation is software evolution. Software evolution refers to the dynamic behaviour of software systems as they are maintained and enhanced over their lifetimes. Software evolution is particularly important as systems in organizations become longer-lived. However, evolution is challenging to study due to the longitudinal nature of the phenomenon in addition to the usual difficulties in collecting empirical data. We describe a set of methods and techniques that we have developed and adapted to empirically study software evolution. Our longitudinal empirical study involves collecting, coding, and analyzing more than 25000 change events to 23 commercial software systems over a 20-year period. Using data from two of the systems, we illustrate the efficacy of flexible phase mapping and gamma sequence analytic methods, originally developed in social psychology to examine group problem solving processes. We have adapted these techniques in the context of our study to identify and understand the phases through which a software system travels as it evolves over time. We contrast this approach with time series analysis. Our work demonstrates the advantages of applying methods and techniques from other domains to software engineering and illustrates how, despite difficulties, software evolution can be empirically studied.
Random or Fixed? An Empirical Examination of Meta-Analysis Model Choices

When conducting meta-analyses, researchers must make decisions about which statistical model is most appropriate for the specific context and aims of the meta-analysis. Although there are several meta-analysis models, most researchers choose between two general models: fixed-effect (FE) and random-effects (RE). Yet, the basis on which these two general models are distinguished and of when it is appropriate to use one or the other varies in the methodological literature. Although model-to-inference inconsistencies have been previously noted, there has been little empirical investigation of whether, and to what extent, the varying conceptualizations of the distinctions between FE and RE models are reflected in published meta-analyses. The present study explores whether conceptualizations of model distinctions among psychological researchers are consistent with those in the methods literature. We also examine model choices and rationales given by psychological researchers in two samples of published meta-analyses in psychology-related journals. We identify four primary categories for distinguishing between FE and RE models, only two of which were predominant in our samples. Although model choice appears to be reported at a moderately high rate, many researchers continue not to provide explicit rationales for their model choices or do not clearly tie model choices to the specific research aims of the meta-analyses. Implications of these findings are discussed.
The Effect of Economic Deprivation on Adolescents’ Happiness: The Mediating Effects of Family Conflict and Adolescents’ Depression and Anxiety

©The Korean Association of Child Studies This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http:// creativecommons.org/licenses/by-nc/4.0) which permits unrestricted noncommercial use, distribution, and reproduction in any medium, provided the original work is properly cited. Corresponding Author: Ah-Reum Han, Department of Child Development & Intervention, Ewha Womans University, 52, Ewhayeodate-gil, Seodaemun-gu, Seoul 03760, Korea E-mail: arumi0701@naver.com 경제적 박탈이 청소년의 행복감에 미치는 영향: 가족갈등과 청소년의 우울/ 불안의 매개효과
E-Selectin Mediated Adhesion and Migration of Endothelial Colony Forming Cells Is Enhanced by SDF-1α/CXCR4

Objective Endothelial-colony forming cells (ECFCs) can be readily expanded from human umbilical cord blood and can facilitate repair of endothelial injury. E-selectin and SDF-1α are produced following endothelial injury and can regulate endothelial progenitor homing. Mechanisms of vascular repair specific to the mode of injury have not been well described in homogenous cell populations such as ECFCs and are needed for development of more effective vascular repair strategies. Methods and Results Lipopolysaccharide (LPS)-induced endotoxic injury to mature human umbilical vein endothelial cells (HUVEC) was compared with hypoxic and radiation injury. E-selectin expression in HUVEC cells is markedly increased (208-fold) following LPS-induced injury and facilitates increased ECFC adhesion and migration function in vitro. SDF-1α expression remains unchanged in LPS-treated HUVEC cells but increases more than 2 fold in fibroblasts undergoing similar endotoxic injury. SDF-1α induces expression of E-selectin ligands on ECFCs and facilitates greater E-selectin-mediated adhesion and migration of ECFCs in a CXCR4-dependent manner. Induction of E-selectin expression in HUVECs following hypoxic or radiation injury is negligible, however, while SDF-1α is increased markedly following hypoxia, highlighting injury-specific synergism between mediators of vascular repair. Conclusion E-selectin mediates adhesion and migration of ECFCs following endotoxic endothelial injury. SDF-1α augments E-selectin mediated ECFC adhesion and migration in a CXCR4-dependent manner.
Skateboarding and the ‘Tired Generation’: Ageing in Youth Cultures and Lifestyle Sports

This article extends current discussions of ageing through a study of the continuing involvement in skateboarding of individuals who are no longer young adults. We qualitatively examine The Tired Video which features older and mostly middle-aged male skaters as our case study. This is done in light of discourses of ageing and a lack of studies examining how older participants remain involved in lifestyle sports typically associated with youth and risk. Our findings reveal four main processes, which we argue assist older skaters to establish an ongoing sense of inclusion in skateboarding. These are modification, dedication, humour and homage. Our study can also contribute insights to other scenes that have reached a ‘coming of age’ where they no longer accurately fit the description of being a youth culture alone, and the need to redirect thinking about ageing away from notions of imminent departure and deficit over to positive adaptations.
Using a clustering similarity measure for feature selection in high dimensional data sets

Feature selection is a very important preprocessing step in data classification. By applying it we are able to reduce the dimensionality of the problem by removing redundant or irrelevant data. High dimensional data sets are becoming usual nowadays specially in bio-informatics, biology, signal processing or text classification, increasing the need for efficient feature selection methods. In this paper we study the applicability of a clustering validation measure, the Adjusted Rand Index (ARI), for this task comparing it with other methods based on statistical tests and on ROC curve. We have performed some experiments that show the validity of the proposed method.
Species Distribution of Clinical Acinetobacter Isolates Revealed by Different Identification Techniques

A total of 2582 non-duplicate clinical Acinetobacter spp. isolates were collected to evaluate the performance of four identification methods because it is important to identify Acinetobacter spp. accurately and survey the species distribution to determine the appropriate antimicrobial treatment. Phenotyping (VITEK 2 and VITEK MS) and genotyping (16S rRNA and rpoB gene sequencing) methods were applied for species identification, and antimicrobial susceptibility test of imipenem and meropenem was performed with a disk diffusion assay. Generally, the phenotypic identification results were quite different from the genotyping results, and their discrimination ability was unsatisfactory, whereas 16S rRNA and rpoB gene sequencing showed consistent typing results, with different resolution. Additionally, A. pittii, A. calcoaceticus and A. nosocomialis, which were phylogenetically close to A. baumannii, accounted for 85.5% of the non-A. baumannii isolates. One group, which could not be clustered with any reference strains, consisted of 11 isolates and constituted a novel Acinetobacter species that was entitled genomic species 33YU. None of the non-A. baumannii isolates harbored a bla OXA-51-like gene, and this gene was disrupted by ISAba19 in only one isolate; it continues to be appropriate as a genetic marker for A. baumannii identification. The resistance rate of non-A. baumannii isolates to imipenem and/or meropenem was only 2.6%, which was significantly lower than that of A. baumannii. Overall, rpoB gene sequencing was the most accurate identification method for Acinetobacter species. Except for A. baumannii, the most frequently isolated species from the nosocomial setting were A. pittii, A. calcoaceticus and A. nosocomialis.
'Mediatization': Media Theory's Word of the Decade

This short commentary looks at aspects of the debate about the term ‘mediatization’, paying particular attention to recent, cross-referring exchanges both in support of the concept and critical of it. In the context of its widespread use, it suggests that continuing questions need to be asked about the conceptual status of the term, the originality of the ideas it suggests and the kinds of empirical project to which it relates.
Antibacterial drug leads targeting isoprenoid biosynthesis

With the rise in resistance to antibiotics such as methicillin, there is a need for new drugs. We report here the discovery and X-ray crystallographic structures of 10 chemically diverse compounds (benzoic, diketo, and phosphonic acids, as well as a bisamidine and a bisamine) that inhibit bacterial undecaprenyl diphosphate synthase, an essential enzyme involved in cell wall biosynthesis. The inhibitors bind to one or more of the four undecaprenyl diphosphate synthase inhibitor binding sites identified previously, with the most active leads binding to site 4, outside the catalytic center. The most potent leads are active against Staphylococcus aureus [minimal inhibitory concentration (MIC)90 ∼0.25 µg/mL], and one potently synergizes with methicillin (fractional inhibitory concentration index = 0.25) and is protective in a mouse infection model. These results provide numerous leads for antibacterial development and open up the possibility of restoring sensitivity to drugs such as methicillin, using combination therapies.
Yeast telomere maintenance is globally controlled by programmed ribosomal frameshifting and the nonsense-mediated mRNA decay pathway

We have previously shown that ~10% of all eukaryotic mRNAs contain potential programmed -1 ribosomal frameshifting (-1 PRF) signals and that some function as mRNA destabilizing elements through the Nonsense-Mediated mRNA Decay (NMD) pathway by directing translating ribosomes to premature termination codons. Here, the connection between -1 PRF, NMD and telomere end maintenance are explored. Functional -1 PRF signals were identified in the mRNAs encoding two components of yeast telomerase, EST1 and EST2, and in mRNAs encoding proteins involved in recruiting telomerase to chromosome ends, STN1 and CDC13. All of these elements responded to mutants and drugs previously known to stimulate or inhibit -1 PRF, further supporting the hypothesis that they promote -1 PRF through the canonical mechanism. All affected the steady-state abundance of a reporter mRNA and the wide range of -1 PRF efficiencies promoted by these elements enabled the determination of an inverse logarithmic relationship between -1 PRF efficiency and mRNA accumulation. Steady-state abundances of the endogenous EST1, EST2, STN1 and CDC13 mRNAs were similarly inversely proportional to changes in -1 PRF efficiency promoted by mutants and drugs, supporting the hypothesis that expression of these genes is post-transcriptionally controlled by -1 PRF under native conditions. Overexpression of EST2 by ablation of -1 PRF signals or inhibition of NMD promoted formation of shorter telomeres and accumulation of large budded cells at the G2/M boundary. A model is presented describing how limitation and maintenance of correct stoichiometries of telomerase components by -1 PRF is used to maintain yeast telomere length.