Miracle-dz/UniFAR-FTUs huggingface dataset:
Turbulence Structure around an Asymmetric High-Lift Airfoil for Different Incidence Angles

An exhaustive investigation of the structure of the turbulence around an asymmetric FX 63-137 wind turbine airfoil is carried out in this paper. Reliable hot-wire velocity measurements, made at the Xixon Aeroacoustic Wind Tunnel, are presented with the aim of analyzing the turbulent flow features. The probe was placed at two different positions along the streamwise direction, one over the airfoil and the other at the wake, both on the suction and pressure side. These measurements were performed in order to capture the evolution of the flow and its behavior at the wake. The experimental data were collected at a Reynolds number of 350000 for several incidence angles to explore their influence in the turbulence characteristics. The data processing from the dual hot-wire, capable of measuring two velocity components, allowed to achieve half set of the Reynolds stresses, the turbulence intensity and the degree of anisotropy. The boundary layer and wake size were estimated from the Reynolds stress components. In addition, the production term of the turbulence kinetic energy budget is calculated to visualize the unsteadiness energy inside the boundary layer. As a result of these analyses, it was observed that the transversal fluctuations were higher than the longitudinal ones. Besides, an alternative description of the turbulence structure is obtained when a frequency analysis of the motion is provided, disclosing a clear change in the spectra tendencies in the wake and boundary layer regions. This analysis, combined with the degree of anisotropy analysis, was helpful to define a transition zone between the clearly distinguishable instability zone and the freestream zone. Finally, the integral length scale of turbulence was estimated from the area under the autocorrelation function of the velocity fluctuations. The combination of the results of this work have provided a wide description of the turbulent behavior of the flow around the airfoil and present a clearer physical picture of the phenomena.
Optimal Excitation of Magnetic Fields

The mechanism by which large-scale magnetic fields in stars and galaxies arise remains uncertain, but it is believed that initially small internally generated or primordial seed fields are amplified and organized by motions in the conducting fluid interiors of these bodies. Methods for analyzing this process in the weak field limit are based on the induction equation and fall into two classes: those involving advection of the magnetic field as a passive tracer, and those involving calculation of exponential instabilities. The former is a nonmodal stability analysis, while the latter is essentially modal. In this work these two methods of analysis are synthesized, making use of recent advances in the theory of nonnormal system dynamics. An application of this generalized stability analysis to the helical dynamo model of Lortz is described in which the maximum field growth over prescribed time intervals and the perturbation structures producing this growth are identified.
Is Exercise a Solution for Every Individual Living with Chronic Conditions

The simple answer is probably ‘it depends’! The outcomes experienced as a result of exercise varies depending on the expected outcome, the chronic condition, and how exercise is defined. In past decades,the public health messages have shouted from every rooftop that exercise is a corner stone to manage chronic conditions. We would argue that while this argument is correct from a general health perspective, however for some individuals their odds of achieving their health goals through engagement in exercise may not be as glorious as expected. In other words, a patient might experience some of the reported benefits of engagement in exercise, such as a reduction in blood pressure and improvement in glycemic control, but experience a lack of improvement in other areas, such as not returning to their desired weight.
Distribution and Status of the Guiana Dolphin Sotalia guianensis (Cetacea, Delphinidae) Population in Babitonga Bay, Southern Brazil

The total length of transects covered was 1251.9 km, with 163 groups of dolphins recorded. Group sizes varied 2-30 (mean, 5.3; SD, 5.6) individuals. Some areas were preferred by the population, and area 3 was considered the core area of S. guianensis in Babitonga Bay. The abundance was estimated to be 245 (95% confidence interval (CI): 142-422) individuals between Dec. 2000 and Nov. 2001, 186 (95% CI: 93-374) individuals between Apr. 2002 and Feb. 2003, and 179 (95% CI: 93-344) individuals between Mar. and Dec. 2003, and the densities were estimated at 1.6 (95% CI: 1-2.7), 1.2 (95% CI: 0.6-2.4), and 1.3 (95% CI: 0.5-3.4) individuals/km 2 , respectively. The highest density was recorded in the central area of the bay. http://zoolstud.sinica. edu.tw/Journals/50.3/327.pdf
Understanding Visual Feedback in Large-Display Touchless Interactions: An Exploratory Study

Touchless interactions synthesize input and output from physically disconnected motor and display spaces without any haptic feedback. In the absence of any haptic feedback, touchless interactions primarily rely on visual cues, but properties of visual feedback remain unexplored. This paper systematically investigates how large-display touchless interactions are affected by (1) types of visual feedback—discrete, partial, and continuous; (2) alternative forms of touchless cursors; (3) approaches to visualize target-selection; and (4) persistent visual cues to support out-of-range and drag-and-drop gestures. Results suggest that continuous was more effective than partial visual feedback; users disliked opaque cursors, and efficiency did not increase when cursors were larger than display artifacts’ size. Semantic visual feedback located at the display border improved users’ efficiency to return within the display range; however, the path of movement echoed in drag-and-drop operations decreased efficiency. Our findings contribute key ingredients to design suitable visual feedback for large-display touchless environments.
Cosmological performance of SKA HI galaxy surveys

The Square Kilometre Array (SKA) will conduct the biggest spectroscopic galaxy survey ever, by detecting the 21 cm emission line of neutral hydrogen (H I) from around a billion galaxies over 3/4 of the sky, out to a redshift of z ~ 2. This will allow the redshift-space matter power spectrum, and corresponding dark energy observables, to be measured with unprecedented precision. In this paper, we present an improved model of the HI galaxy number counts and bias from semi-analytic simulations, and use it to calculate the expected yield of HI galaxies from surveys with a variety of Phase 1 and 2 SKA configurations. We illustrate the relative performance of the different surveys by forecasting errors on the radial and transverse scales of the baryon acoustic oscillation (BAO) feature, finding that the full 'billion galaxy survey' with SKA2 will deliver the largest dark energy Figure of Merit of any current or future large-scale structure survey.
A universal adaptive controller for tracking and stabilization control of nonholonomic vehicles

We propose a general class of adaptive controllers for leader-follower simultaneous tracking and stabilization of force-controlled nonholonomic mobile robots, under the hypothesis that the leader velocities are either integrable (parking problem), or persistently exciting (tracking problem). For the first time in the literature, we establish uniform global asymptotic stability for the origin of the closed-loop system (in the kinemtacis state space). We also show that the kinematics controller renders the system robust to perturbations in the sense of integral-to state stability. Then, we show that for the case in which the force dynamics equations are also considered (full model), any velocity-tracking controller with the property that the error velocities are square integrable may be used to ensure global tracking or stabilization. This modularity and robustness of our controller, added to the strength of our stability statements, renders direct the extension of our main results to the difficult scenario of control under para-metric uncertainty.
Improvement of the Optical Properties of Sandblasted Glass by Depositing Acrylic Coatings

In their different applications in Saharan regions, ordinary glass products (glazes, cars windshields, solar panels protecting glass etc.) are exposed to inevitable sandblasting effect caused by frequent sandstorms. The surface flaws induced by sand particle's impact lead to a deterioration of the glass strength and optical transmission. In this work, the effect of acrylic coatings on the optical properties of sandblasted glass is established. After that, the effect of subsequent sandblasting on the coated glass is studied. Obtained results show that sandblasting causes a considerable drop in the optical transmission (from 91.5% to 14.6%). Depositing acrylic coatings allows increasing significantly the optical transmission (~ 87%). Under the subsequent sandblasting, the optical transmission of the coated glasses falls from its initial value (T = 87%) to approximately 22%, which is somewhat better than the transmission of the sandblasted glass (T = 14.6%).
JAPAN and The TLM MODEL : Adapting The Transitional Labour Market Theory to Japan

Japanese employment structure has been transforming in the face of economic recession, difficulty in work/life balance and ageing society. The diversification in the forms of employment such as increasing non-regular employment has enhanced labor market flexibility in Japan while causing security challenges for most people. This paper intends to bring a new perspective to Japanese context by applying the Transitional Labour Market (TLM) framework in the form of five critical transitions over the life-course to clearly outline the deficiencies of current institutional arrangements and to lay some groundwork for analyzing good transitions in line with four principles (autonomy-solidarity-effectiveness-efficiency) of the TLM. Providing insights for the cross-regional transfers (between Europe and Asia) by extending the scope of the TLM is also aimed. The main question raised in this respect is about how to create a labour market which builds bridges rather than dead ends between various statuses inside and outside the labour market. This paper argues that it is important to develop tailor-made labour market arrangements in Japan targeting the vulnerable groups such as women and non-regular employees in line with the principles of the TLM model. Such a tailor-made approach will assist individuals manage the risks they face under the current labor market situation and help to achieve sustainability of the entire social system by decreasing the associated heavy costs. The findings state that together with the recent labor market reforms there has been a shift towards more activating policies in Japan which are favorable from the TLM perspective but close attention to the propositions of the solidarity principle is required.
Trade of the most popular Indigenous fruits and nuts, threats and opportunities for their sustainable management around the Ivindo National Park (INP), Gabon

Sustainable management of forest resources in and around national parks continues to be a growing challenge in Gabon. Rural people living close by national parks continue to depend on those forest resources to meet their various livelihoods needs despite strict governmental restriction on access and use of forest resources, especially inside of national parks. Hence, most of these resources are mismanaged and overexploited while innovative mechanisms that would assist parks’ managers in sustainably managing these protected forests are lacking. A semi-structure interview was administrated to 79 sellers that were found in the three local markets located near the Ivindo National Park (INP), in the province of Ogooué Ivindo (Gabon). This survey aimed at clarifying the trade values of most of the popular indigenous fruits and nuts species and the sellers’ perceptions on resource decline for an improved management of resources inside and outside of the Ivindo National Park. From both inside and outside of the park, Coula edulis, Irvingia gabonensis and Dacryodes buettneri tend to be among the most sold wild fruits and nuts according to 82.3, 73.4 and 31.6% of the respondents respectively. I. gabonensis fetches the highest sale price in FCFA and represents the most important income provider to sellers followed by C. edulis and D. buettneri. Since social status of sellers such as marital status and ethnicity appear to be the driving factors to people’s entry to this trade, therefore they need all to be considered as key variables in regulating usages of these traded wild fruits and nuts. Despite the importance of indigenous fruits and nuts as source of income, resource decline have been acknowledged by almost all the sellers. Hence, sellers should be considered as key partners in identifying species in needs of conservation. Among the drivers of resource decline include the impacts of logging companies, climate change (unpredictability of rainfall), and unsustainable harvesting practices of the valued indigenous resources. Sustainable management of these valued indigenous forest resources call for a careful implementation of an innovative mechanism that would regulate demand and assist park managers in managing forest resources in a sustainable manner. Most critically, further studies need to look at the practical approach of setting up quotas based harvesting of these valued indigenous forest resources.
Clustering Undergraduate Computer Science Student Final Project Based on Frequent Itemset

Abstract is a part of document has an important role in explaining the whole document. Words that frequently appear can be used as a reference in grouping the final project document into categories. Text mining method can be used to group the abstracts. The purpose of this study is to apply the method of association rule mining namely ECLAT algorithm to find most common terms combination and to group a collection of abstracts. The data used in this study is documents of final project abstract in English of undergraduate computer science student of IPB from 2012 to 2014. This research used stopwords about common computer science terminology, applied association rule mining with support of 0.1, 0.15, 0.2, 0.25, 0.3, and 0.35, and used k-Means clustering with number of cluster (k) of 10 because it gives the lowest SSE. This research compared the value of support, SSE, the number of cluster members, and purity value in each cluster. The best clustering result is data with additional stopwords and without applying association rule mining, and with k is 10. The SSE result is 23 485.03, and with purity of 0.512
Studies of changes in electrical resistance of zinc oxide nanostructures under the influence of variable gaseous environments

The paper deals with the investigations concerning the influence of the changing gas environment on electrical resistance of zinc oxide (ZnO) nanostructures. The investigated structures are wide-gap semiconductors with the morphology of ZnO flower-shaped agglomerates of nanostructures. The resistance changes of these nanostructures were tested under the influence of various gases such as nitrogen dioxide (NO2), hydrogen (H2), ammonia (NH3) and also of humidity changes of carrier gases. To clarify the mechanisms of physicochemical processes in ZnO nanostructures during their interaction with gaseous environments, investigations were performed in two different carrier gases, viz. in synthetic air and in nitrogen. The study was carried out at a structure temperature of 200 ◦ C.
The Diverging Beliefs and Practices of the Religiously Affiliated and Unaffiliated in the United States

Since 1990, the percentage of Americans with no religious affiliation has grown substantially. Prior work has shown that between 1990 and 2000, the religiously unaffiliated population also became more religious in belief and practices, both in absolute terms and relative to the affiliated population. This curious empirical finding is believed to be driven by a dilution effect in which moderate believers disaffiliated from organized religion without giving up religious beliefs and practices. In the current article, I use data from the General Social Survey to show that this convergence of beliefs and practices of the religiously affiliated and unaffiliated ended around 2000. Since 2000, the religiously unaffiliated have decreased their belief in God and the afterlife and have not increased their prayer frequency. The trends for the affiliated have been either increasing or unchanging, and thus, the religious practices and beliefs of the religiously affiliated and unaffiliated have diverged since 2000. The change in trend for the religiously unaffiliated after 2000 cannot fully be explained by generational succession or the growing percentage of Americans raised without religion. Although the unaffiliated remain very heterogeneous in their beliefs and practices, these results point to a growing religious polarization in the United States.
Elliptic Curves in Generalized Huff's Model

This paper introduces a new form of elliptic curves in generalized Hu 's model. These curves endowed with the addition are shown to be a group over a nite eld. We present formulae for point addition and doubling point on the curves, and evaluate the computational cost of point addition and doubling point using projective, Jacobian, Lopez-Dahab coordinate systems, and embedding of the curves into P1×P1 system. We also prove that the curves are birationally equivalent to Weierstrass form. We observe that the computational cost on the curves for point addition and doubling point is lowest by embedding the curves into P1×P1 system than the other mentioned coordinate systems and is nearly optimal to other known Hu 's models.
MOTIVATION TO CREATE FREE AND OPEN SOURCE PROJECTS AND HOW DECISIONS IMPACT SUCCESS

As a consequence of the success of free and open source software such as Linux, organizations started to rethink development practices and opensource their applications. To opensource software means to release its source code open to the general public in the Internet. That has become an increasingly common strategy in the industry over the last years (e.g., Netscape-Navigator, IBM-Eclipse, and CAIXA-Curupira). However, what motivates organizations to commit their resources to publicize proprietary software is yet to be fully understood; and it is only after this motivation is comprehended that it will become possible to define, measure, and study success. This paper fulfills this gap in the literature by proposing a theoretical model that satisfies technical (software quality) and organizational (business value) requirements at the same time, defining what would be, thus, return on investment and how to achieve it. Specifically, the model proposes that, in opensourcing software, organizations should attempt (1) to attract users and developers, and (2) to receive contributions from them, mainly because achieving these goals makes it more likely to expand the user base and build an active community that constantly improves the software. To work towards these goals, this paper develops awareness of how (a) software architecture (modularity and interdependence), (b) programming language and integrated development environment, and (c) sponsor’s reputation and degree of commitment can influence a project’s dynamics. Key-words: open source software; free software; software development; technology adoption; business strategy; software quality; software industry; software engineering.
The Finite Sample Performance of Estimators for Mediation Analysis Under Sequential Conditional Independence

Using a comprehensive simulation study based on empirical data, this article investigates the finite sample properties of different classes of parametric and semiparametric estimators of (natural) direct and indirect causal effects used in mediation analysis under sequential conditional independence assumptions. The estimators are based on regression, inverse probability weighting, and combinations thereof. Our simulation design uses a large population of Swiss jobseekers and considers variations of several features of the data-generating process (DGP) and the implementation of the estimators that are of practical relevance. We find that no estimator performs uniformly best (in terms of root mean squared error) in all simulations. Overall, so-called “g-computation” dominates. However, differences between estimators are often (but not always) minor in the various setups and the relative performance of the methods often (but not always) varies with the features of the DGP.
Determinants of International Sound Recording Piracy

Examines the relative strength and significance of a range of institutional and economic variables thought to influence cross-country variations in sound recording piracy market share. Sound recording piracy imposes significant costs on copyright owners, including record companies, music publishers, recording artists and songwriters. The contribution of this paper is the central role allocated to the affordability index (the ratio of legitimate price to average hourly earnings) and to the balance of trade in sound recording product. The estimated regression model identifies a positive and significant relationship between sound recording PMS and the price-earnings (PE) ratio.
On Measuring Hedge Fund Risk

Hedge fund returns have scarce observations, and from the data one can successfully estimate the joint laws of the return with each of risk driving factors but cannot estimate higher-dimensional joint laws. We propose a methodology to recover from this information the conditional mean of the hedge fund return given all the factors. A longer and more mathematical version of this paper can be found on SSRN under the name On measuring risk with scarce observations.
Prevalence and Severity of Allergic Diseases among Egyptian Pediatric in Different Egyptian Areas

Allergic diseases have become one of the top three conditions demanding major effort toward prevention and control in the 21st century, according to the World Health Organization. Recently, the prevalence of asthma and allergic disease has increased annually throughout the world. It is not only affect the quality of life for children, but also creating a serious burden on all of society and family life.
Challenges of Smart Integration Systems: A Review

Recently the important for Distribution Generation (DG) take large scale for researchers. But future electricity demand will grow. This requires attention by implementation smart integration now. This aim to the intelligent integration where grid-connected PV systems, wind energy systems that are planned for a dynamic interface with the grid in the context of so called smart integration between the distribution generation resources and the power generation system. The development in smart integration will solve more problems for network such as: (1) improve the efficiency in production, (2) consumption of electricity, and (3) increase reliability of integration of renewable energy into the grid. This requires control strategies, metering and monitor technology. It's aim to automation processes. The renewable Distribution Generation (DG) such as solar photovoltaic (PV) and wind has received a great attention. This paper aimed to wide survey of researchers in the field of the micro-grid until this moment down to the smart integration.