Miracle-dz/UniFAR-FTUs huggingface dataset:
Spatial Ecology of Female Mule Deer in an Area Proposed for Wind Energy Development

ABSTRACT. Development for wind energy is increasing rapidly across the United States, particularly in Wyoming, despite a general lack of information on the potential interaction development could have on wildlife species. Therefore, knowledge of the space use and movement patterns of individuals can help define spatial distributions and management unit boundaries for populations prior to development. Such knowledge can also be used as baseline data from which to assess any future impacts on animal populations. We investigated the spatial ecology of female mule deer (Odocoileus hemionus; n = 18) equipped with global positioning system collars from 23 February 2011 to 15 January 2012 in an area along the Wyoming–Colorado border that has been proposed for wind energy development. The objectives of this study were to collect predevelopment baseline estimates of annual and seasonal home-range and core area size and fidelity, movement between seasonal ranges, changes in the use of elevation, and movement patterns at 2 temporal resolutions (i.e., within-season diel patterns and year-round diurnal and nocturnal movements by week). Annual size of home ranges averaged 2495 ha (SE = 121), whereas size of core areas averaged 310 ha (SE = 30). Seasonal site fidelity was substantial (81.1%, SE = 5.7) between successive cool-season ranges. Migration distances between cool- and warm-season home ranges were minimal (spring migration = 1319 m; autumn migration = 1342 m). Deer exhibited crepuscular movement patterns (peaks near 06:00 and 18:00) during the warm season but showed a diurnal movement pattern during the cool season (peak from 06:00 to 15:00). Partuition influenced movement during the warm season; movement was much reduced during a period from mid-June to mid-July Deer in this population appear to be year-round residents that exhibit strong seasonal and annual fidelity to previously established ranges and modify movement patterns in relation to general changes in environmental conditions (e.g., snow). These findings can be used to define seasonally important ranges and formulate boundaries and sizes of game management units. Understanding fine-scale temporal movement allows the development of strategies that could minimize disturbance to deer while allowing for development or recreation.
The 2007-2009 Financial Crisis on Emerging Markets: Quantitative Identification of Crisis in Continent-based Regions

This paper focuses on a direct quantitative identification of crisis periods in selected emerging stock markets from four continent-based regions of Europe, Latin America, East Asia, and Middle East and North Africa (MENA), in the context of an influence of the 2007 U.S. subprime financial crisis. The 17 emerging stock markets and, for comparison, the U.S. stock market are investigated. A statistical method of dividing market states into bullish and bearish markets, based on monthly logarithmic returns of major stock market indexes, is employed. The analyzed sample period begins in January 2003 and ends in December 2013. As there is no unanimity in the literature about the crisis periods in the continent-based regions, a formal statistical identification of crises is worthwhile to conduct. Furthermore, the effect of increasing cross-market correlations in the crisis compared to the pre-crisis period in the context of contagion is examining. To address this issue, both standard contemporaneous cross-correlations and volatility-adjusted cross-correlations are applied. The results are consistent with the literature and confirm that tests for contagion based on cross-market correlations are problematic due to the bias introduced by changing volatility in market returns. As contagion can be confused with globalization, the globalization tests in the group of international investigated markets are employed. The results generally do not confirm a global world market integration effect, i.e. there is no reason to reject the research hypothesis of no globalization during the 2007-2009 financial crisis.
Neuroimmune Function, Life Distress, Stress Management Skills and Physical Symptoms in Chronic Fatigue Syndrome

of a thesis at the University of Miami Thesis supervised by Professor Michael H. Antoni. No. of pages in text. (71) Chronic Fatigue Syndrome (CFS) is a debilitating disorder with no clear etiology. Many, but not all, patients with CFS evidence signs of neuroimmune dysfunction prompting the suggestion that there exist subgroups of CFS patients with significant neuroimmune dysfunction while other subgroups of diagnosed patients may suffer from CFS-like symptoms due to other causes. Research has demonstrated that emotional distress responses impact CFS symptoms and that having adequate coping skills may predict less illness severity among individuals with CFS. However, no study to date has examined the influence of a comprehensive set of stress management skills on CFS symptoms nor has prior work evaluated if a relationship between stress management skills and CFS symptoms is mediated by lowered levels of emotional distress. Given the breadth of research literature linking neuroimmune dysfunction to emotional distress symptoms such as depression, and to physical symptoms such as fatigue, this study sought to examine a mediation model in which perceived stress management skills predict physical symptoms via lowered emotional distress. Moreover this study also sought to examine whether this model is most salient in individuals with a higher degree of neuroimmune dysfunction. In total, 117 individuals with CFS provided blood and saliva samples, as well as self-report measures of emotional distress, perceived stress
Mutant deletions in Escherichia coli affect the cellular levels of undecaprenyl phosphate and undecaprenyl diphosphate

wild type strain W3110; in the YS1234 strain defective in ynbD, yeiU, ybjG, and pgpB; in the YS1235 strain defective in ynbD, yeiU, ybjG, and bacA; and in the YS1245 strain defective in ynbD, yeiU, pgpB, and bacA were 78.0% ± 3.5%, 74.7% ± 1.2%, 68.4% ± 6.8%, and 64.0% ± 7.5%, respectively. The quadruple mutant strain that possessed the wild-type bacA showed almost identical UP level as the wild type strain W3110, indicating that sufficient level of UPP phosphatse activity was conferred by a bacA product without the products of ynbD, yeiU, ybjG, and pgpB. However, the mutants defective in bacA showed a slight but significant (p < 0.01) decrease in the UP level.
Applying a Change-Point Detection Method on Frequency-Magnitude Distributions

A method based on nonparametric statistics (hereafter called “median- based analysis of the segment slope,” mbass) is applied for the detection of change points in frequency magnitude distributions (fmds). The determination of the lowest magnitude for which the Gutenberg–Richter relation still applies is a key point for the computation of reliable b -values. The change-point detection method presented here is used to determine automatically this threshold magnitude (called m 0 in this ing when fmds are analyzed by eye. Online material: Source code for detection of change-points and nied sample data set.
Electromagnetic Modeling and Design of Dual-Band Septum Polarizers

A highly efficient, full-wave electromagnetic model and CAD of septum polarizers terminated with a square or circular output waveguide is presented. The model is based on the mode-matching and generalized S-matrix techniques. The capabilities of the CAD program are demonstrated by the design of dual-band polarizers where the separation between two bands is more than 50%. For a square output polarizer, results are compared and found to be in good agreement with data obtained with the WASP-NET program. A discussion on the inherent limitations of the achievable performance and critical parameters is presented. An influence of higher-order modes propagating in the polarizer output over the high-frequency operation band on the radiation and polarization patterns of a septum polarizer combined with a corrugated conical horn is specially investigated.
The Relationship Between Dyspnea and Pulmonary Functions, Arterial Blood Gases and Exercise Capacity in Patients with COPD

SUMMARY Dyspnea is described as a sensation of awareness of difficulty in breathing. Clinical techniques for rating dyspnea include Medical Research Council (MRC) scale, Baseline Dyspnea Index (BDI) and Borg scale. The aim of this study was to investigate the relationship between clinical dyspnea ratings and pulmonary functions, exercise capacity. 20 patients with moderate COPD (group 1) and 12 healthy controls (group 2) were included to the study. MRC scale, BDI and Borg scales were applied to all patients and pulmonary function tests, maximal inspiratory pressure (Pimax), mouth occlusion pressure (P 0.1 ), breathing pattern (BP), arterial blood gases (ABG) and symptom-limited exercise on a cycle ergometer were performed. All patients with COPD terminated the test because of dyspnea. The patients with COPD had moderate COPD [FEV1(pred%): 56.00 ± 15.03%]. The clinical dyspnea ratings of the patients were; MRC scale: 2.10 ± 0.55, BDI: 5.65 ± 1.60 and Borg scale: 4.55 ± 1.23. The BDI showed significant correlation with airflow rates, PaO2 and SaO2 (p< 0.05, p< 0.01), Borg scale showed significant correlation with airflow rates (p< 0.01), whereas they did not show significant correlation with Pimax and P 0.1 . There was a only significant correlation between MRC scale and peak oxygen uptake [VO 2 /kg (pred%)]; other dyspnea scales lacked any correlation with exercise testing parameters. In this study, clinical dyspnea scales and ratings during exercise were correlated with mainly airflow rates and ABG parameters. But they were not significant correlation with exercise capacity.
Comparing students with extreme schematic beliefs in learning mathematics across two cultures

This paper extended the analyses of Ng (2005) and explored the differences between students with polarized schematic views in learning mathematics. Two groups of high school students from Hong Kong and Australia completed a questionnaire tapping their views on their cognitions of the self or academic self-schemas, achievement goals, learning approaches and anticipated performance. Ng (2005) located two groups of schematic students across both cultures demonstrating consistent characteristics in motivational and learning processes. The current investigation explored the differences between corresponding schematic groups found in this previous study. It was found that positive schematic students in Hong Kong are less schematicised than Australian students. In contrast, negative schematic students in Hong Kong were more schematicized than their Australian counterparts. These differences in the development of schematicised selves among students in two different cultures could be attributed to the difference in evaluation practice in two different educational systems. The results draw our attention to teaching and learning processes in schools and call for more reformative effort in Mathematics learning in order to prevent premature dropping of the subject due to the development of a negative self.
The impact of lowering the illegal BAC limit to 0.08 in five states in the US

It is illegal per se to have a certain blood alcohol concentration (BAC) while driving a motor vehicle in most states of the United States (U.S.). The majority of these states have set the illegal BAC limit at . 10g/dl for drivers aged 21 and over. However, eleven states have lowered the limit to.08g/dl. An analysis was conducted using fatal crash data to determine the impact of lowering the per se limit to . 08 in five of those states which had the law for at least two years. The results of the analyses revealed statistically significant reductions of driver involvement in alcohol-related fatal crashes after . 08 legislation took effect in four of the five states, ranging from 4% in California to 40% in Vermont. This assessment appears to indicate that the implementation of . 08 laws and other related activities (i.e. public information about the law) are associated with reductions in fatal crash driver alcohol involvement.
Preference or opportunity? Why do we find more friendship segregation in more heterogeneous schools?

Research on friendship networks in schools suggests that heterogeneity increases homophily preferences. We argue that this may be a misleading interpretation of the coefficients of the exponential random graph models (p*) that are used to model the network data. If students wish to avoid having no friends at all, then minority students may appear to be willing to integrate more with the majority in a more homogeneous school, even if the preference for having same ethnicity friends has the same strength in all schools. We use a random utility model of network formation to study in computational experiments the effects of the preferences that drive network choices. We generate simulated networks for different school compositions but with the same parameter for a preference for homophily. We estimate with a p* model on these simulated data the coefficients for the effect of same ethnicity on (simulated) friendship choice. The tests confirm that p* coefficients for the effect of same ethnicity are much larger in populations with a large minority, although actual homophily preferences are the same across all simulated school compositions.
How Knowledge Management Adds Critical Value to e-Learning Media.

Media is the combination of text, images, animations, digital library, which is now a standard part of most computer applications. Education media can be a great tool to improve teaching and learning. A growing number of educational institutions (EI) are developing a new learning culture, as they realize that getting an institution's learning capacity to gain momentum is not that easy. It is not just a question of installing a new learning instruments or knowledge management (KM) technologies; it requires overcoming the difficulties in the selection and evaluation of e-learning process media. The model presented in this paper combines e-learning and KM into adaptable framework that provides integrated support end effect on various medias involved in the education systems. The model is a suggestion to improve teaching and learning process and how KM adds a successful help for educational consumers in selecting and evaluating e-learning media. This paper is also concerned with three key ideas: the growing importance of e-learning as knowledge scaffoldering, the emerging significance of KM practice in informing strategic directions, and the effects of KM on e-learning media development. Key words: Knowledge management, media, e-learning, educational multimedia.
EFFECTS OF DIFFERENT FREQUENCIES OF WHOLE BODY VIBRATION ON MUSCULAR PERFORMANCE

The effects of different frequencies (20, 30, and 40Hz) of whole body vibration were analyzed in order to determine which one of them is the most effective for muscular performance training. Thirty-one subjects participated in the study maintaining their regular exercise habits but avoiding any strength or jump training. All subjects underwent exposure to the three frequencies with all the other vibration training variables remaining unchanged; the application order was assigned randomly. The vertical sinusoidal vibration protocol consisted of 6 exposures of 60s duration each, with 2-min rests in between. The tests used for assessment of muscular performance were the following: 1RM, SJ, CMJ, and muscle power. The performed tests showed increase for the 20- and 30Hz frequencies, being greater the increases for the 30Hz frequency for SJ (p<0.001), CMJ (p<0.01), and power (p<0.001); strength values, on the contrary, did not show any significant changes for any of the frequencies. In contrast, the 40Hz frequency had a tendency to decrease the values in all the analyzed parameters. It can be derived that, when applied to physically active subjects, the 30Hz frequency is the most ideal for eliciting improvement in neuromuscular behavior with whole body vibration training. (Biol.Sport 23: - , 2006)
The mean circulation of the southwestern Mediterranean Sea : Algerian Gyres

This is a study about the general circulation of the southwestern Mediterranean Sea based on observations of currents carried out in the southwestern Mediterranean Sea in the framework of the Mass Transfer and Ecosystem Response (MATER) program (EEC/MAST3 program). From July 1997 to August 2002, profiling floats (MEDPROF experiment), isobaric floats (LIWEX experiment), and moored current meters (ELISA experiment) give evidence of two large-scale barotropic cyclonic circulations, the here-called Western and Eastern Algerian Gyres, centered around [3730′N, 230′E] and [3830′N, 600′E], respectively. These gyres have typical horizontal scales of 100–300 km and are characterized by orbital velocities of about 5 cm/s corresponding to rotational periods of about 4 months. They are strongly related to the bottom topography of the basin and to the planetary vorticity gradient: closed f/H isocontours (f is the planetary vorticity, H the water depth) correspond to the locations of the gyres and favor such circulations as free geostrophic modes. A linear and barotropic model is used to investigate the possibility of wind driving, but the results suggest that the wind stress is not responsible for establishing such circulations. The boundary currents flowing along the continental slope of Africa, Sardinia, and the Balearic Islands are proposed to be the main drivers of these gyres.
ACADEMIC PROCRASTINATION IN HIGHER EDUCATION

Academic procrastination has been seen as an impediment to students' academic success because it decreases the quality and quantity of learning while increasing the severity of negative outcomes in students’ lives. Research findings suggest that academic procrastination is closely related to motivation variables such as self-efficacy and self-regulated learning, and with higher levels of anxiety, stress, and illness. Emotional Intelligence is the ability to assess, regulate, and utilize emotions. It has been found to be associated with academic self-efficacy and a variety of better outcomes, including academic performance. The purpose of the present study was to explore and provide an initial understanding to the relationships between emotional intelligence, academic procrastination and GPA, as mediated by academic selfefficacy. A convenience sampling of 287 college students was collected. Structural equation modeling analysis using AMOS was conducted to examine the mediation role of academic selfefficacy between emotional intelligence, procrastination and GPA. Findings indicated that Emotional intelligence has a negative indirect effect on academic procrastination and a positive indirect effect on academic performance. Further research is needed to explore the effect of emotional intelligence on academic procrastination and performance, and to further understand its implications for academic settings.
Hunting for eclipses: high-speed observations of cataclysmic variables

We present new time-resolved photometry of 74 cataclysmic variables (CVs), 47 of which are eclipsing. Thirteen of these eclipsing systems are newly discovered. For all 47 eclipsing systems, we show high cadence (1–20 s) light curves obtained with the high-speed cameras ULTRACAM and ULTRASPEC. We provide new or refined ephemerides, and supply mid-eclipse times for all observed eclipses. We assess the potential for light-curve modelling of all 47 eclipsing systems to determine their system parameters, finding 20 systems that appear to be suitable for future study. Systems of particular interest include V713 Cep, in which we observed a temporary switching-off of accretion; and ASASSN-14mv and CSS111019:233313−155744, which both have orbital periods well below the CV period minimum. The short orbital periods and light-curve shapes suggest that they may be double degenerate (AM CVn) systems or CVs with evolved donor stars.
Openness of Trade, Unemployment and Inequality of Income Distribution: Comparison between Developed and Developing Countries

In the discussions of trading, unemployment and income distribution inequality, this question is raised by economists that in economic development of developing and developed countries, which policy is necessary in the first stage. Is trading liberalization the pre-requirement of transfer from a close economy to a relative open economy and is it necessary for the developed economy compared to other policies, or after achieving an economic growth level and reduction of class difference, poverty and unemployment, the countries should start trade liberalization. By this pre-requirement, a two-stage systematic generalized method of moments technique (GMM) presented by Blundell & bond (1998) during 19912008 is applied to evaluate the relationship between three main indices for both groups of selected developed and developing countries. The results of study show that in both groups of countries, high production and increasing foreign direct investment provide open economy and can create employment and reduce unemployment but by increasing population growth rate, unemployment and inflation in both groups of countries, household income inequality is increased. The turning point of this study is regarding household income inequality as increased by increasing economic growth rate and control of open economy in developing counties but in developed countries, increasing economic growth rate and open economy, household income distribution is improved.
Did the FED React to Asset Price Bubbles?

Abstract This paper investigates whether the Federal Reserve Bank (FED) reacted to asset price bubbles before the Great Recession and whether this affected macroeconomic variables. We estimate a DSGE model featuring a financial accelerator and a process for asset price bubbles with different Taylor-rule specifications. We find that a Taylor-rule with a feedback to Tobin’s Q and bubble shocks fits best. Our findings suggest that the FED followed a cleaning rather than a leaning approach prior to the global financial crisis (GFC). Then, we perform a counterfactual analysis and show that this policy created a lower interest rate prior to the GFC compared to a standard Taylor-rule without feedback to financial variables.
COMMISSIONING OF A DIODE / RF PHOTOGUN COMBINATION

Tests of an electron gun based on diode acceleration followed by a two-cell RF cavity at 1.5 GHz are being performed at PSI. The diode consists of a photocathode / anode assembly and is driven by a voltage pulse of 500 kV maximum in 200 ns FWHM. The diode configuration allows various types of cathode geometries including hollow cathode with field emitter array (FEA) inserts. In addition the diode assembly gives full control of the position, direction and size of the electron beam at the RF cavity entrance plane. Comparisons between simulations and measurements are presented for the case of a simplified elliptical photocathode geometry. First tests with a specially designed hollow cathode reveal a beam emittance below 0.5 mm.mrad for 10 pC charge.
Motion Planning for Multi-Agent Systems Using Gevrey Trajectories Based on Burgers' Viscous Equation

The differential flatness of the one-dimensional heat equation controlled at each boundary is used to propose, through the Hopf-Cole transform, a finite-time motion planning for multi-agent systems. The proposed paths, which are solutions of Burgers' viscous equation, are smooth while non analytical in initial and final equilibria. The paths may respect various geometrical constraints allowing them to be used for different purposes.