Miracle-dz/UniFAR-FTUs huggingface dataset:
Approach To Analyse Of Reaction Forces In Ring–Traveller System

Abstract The paper presents the approach to analyse of reaction forces and contact pressure for ring-traveller system in twisting machine. The theory of the ballooning yarn has been adapted for the calculation of reactions, and the motion equation is developed for traveller with two reaction forces. The components of normal reaction forces are analyzed for system with free balloon and control one. The effect of the balloon control ring is shown to be significant, reducing the reaction forces of traveller or increasing the speed of spindle. Contact pressure generated between the ring and the traveller is analyzed using Hertzian contact theory. The article also presents the recommendations for optimization of the traveller shape to increase its service life.
The role of high-yield bonds in strategic asset allocation over the Great Recession

By utilizing a modified version of the Black-Litterman model, the authors explore the asset allocation to high-yield bonds based on an investor’s risk profile. In so doing, the researchers use US data on high-yield bonds and over the period 2007–2013. The key finding relates to the strategic asset allocation to high-yield bonds in a simulated global market portfolio depending on an investor’s risk tolerance. In particular, the share of high-yield bonds does not exceed 4.15% of total assets in a global market portfolio over the period 2007–2013, whilst the allocation remains relatively stable and small on a risk-adjusted basis, irrespective of an investor’s risk profile or the phase of the business cycle. In simple terms, the results suggest that high-yield bonds do not seem to merit a favorable treatment in the asset allocation process relative to other financial instruments in a global market portfolio. Georgios Menounos (Greece), Constantinos Alexiou (UK), Sofoklis Vogiazas (Greece) BUSINESS PERSPECTIVES LLC “СPС “Business Perspectives” Hryhorii Skovoroda lane, 10, Sumy, 40022, Ukraine www.businessperspectives. org The Role of High-yield Bonds in Strategic Asset Allocation over the Great Recession Received on: 4th of August, 2017 Accepted on: 3 of October, 2017
Spirulina platensis biomass cultivated in Southern Brazil as a source of essential minerals and other nutrients

The aim of this study was to determine elemental constituent of microalgal biomass Spirulina platensis LEB-18 grown on the shores of Mangueira Lagoon, South of Brazil. The spread of inoculum was performed in standard Zarrouk medium. When the microalgae concentration reached 0.50 g L-1, the biomass was separated by filtration and dried in a tray dryer at 50°C for 5 h. The harvested biomass was then ground in a ball mill, sieved to achieve a particle size of 88 µm (~ 300 mg) in triplicate, digested with concentrated HNO3 and diluted with up to 5% HNO3 for subsequent quantification. Mineral content was determined by inductively coupled plasma optical emission spectrometry with axial view and other nutrients by standard methods. Among the macro minerals, in μg g-1 ± standard deviation, calcium (15.108±529), sodium (14.6552±485) and potassium (14.036±109) were found in the largest amount. The micro mineral present in greater quantity, in μg g-1 ± standard deviation, was the iron (956±9) and nutrients present in the following order: protein (58.5%), ash (12.0%), carbohydrate (7.5%), lipid (7.0%) and crude fiber (0.95%). Results were compared with the values of minerals for human consumption recommended by the Food and Drug Administration and also with the Recommended Daily Intake (RDI) of minerals by Brazilian Legislation. The findings proved promising for the use of S. platensis strain LEB-18 as an alternative source of essential minerals and other nutrients for the human body. Key words: Cyanobacterium, chemical element, nutritional importance, optical emission spectrometry.
On Intra-Regular Ordered ⋆-Semigroups

Nordahl and Scheiblich (1) considered a unary operation ⋆ on semi- groups and introduced the concept of regularity on ⋆-semigroups. In this paper we impose this operation on ordered semigroups under the assumption of order preserving, i.e. if a ≥ b then a ⋆ ≥ b ⋆ . Then we can characterize intra-regular or- dered ⋆-semigroups. Indeed since ⋆ can be considered to be the identity mapping particularly, the results in this paper can be considered to be the extensions of some properties in ordered semigroups (2-5).
Effect of season on haircoat characteristics and physiological parameters of Holstein-Gyr x Guzerá crossed heifers

Objetivou-se neste estudo investigar as caracteristicas morfologicas do pelame e parâmetros fisiologicos no verao e no inverno, pela manha e tarde, em novilhas cruzadas Holandes-Gir x Guzera em ambiente tropical. Para isso, utilizaram-se 20 novilhas leiteiras mesticas oriundas do cruzamento de vacas cruzadas Holandes-Gir com touro da raca Guzera, criadas no municipio de Ibia, Minas Gerais. A espessura do pelame, ou seja, distância da epiderme ate a superficie superior da capa dos pelos, comprimento medio dos pelos, numero de pelos por unidade de area, ângulo de inclinacao dos pelos em relacao a superficie da epiderme, frequencias cardiaca e respiratoria, temperaturas retal e da superficie corporal foram mensuradas. Realizou-se analise de variância e as medias foram comparadas pelo teste F a 5%, exceto frequencias cardiaca e respiratoria e temperatura superficial dentro da estacao, que foram comparadas pelo teste Mann Whitney a 5%. Para temperatura retal o valor maximo encontrado foi de 39,53°C no verao, a tarde. A tarde a temperatura retal foi maior no verao em relacao ao inverno. As frequencias respiratoria e cardiaca e temperatura de superficie do pelame foram maiores no verao (34,00 movimentos minuto-1, 78,60 batimentos minuto-1, 37,97°C, respectivamente) em relacao ao inverno (27,47 movimentos minuto-1, 58,72 batimentos minuto-1, 34,94oC, respectivamente). A espessura e comprimento do pelame apresentaram-se maiores no inverno (0,73; 1,82 cm, respectivamente) em relacao ao verao (0,49; 1,11 cm, respectivamente). A estacao do ano e o turno interferem na maioria dos parâmetros fisiologicos de termorregulacao e caracteristicas de pelame de bezerras Holandes-Gir x Guzera, entretanto, mantem a homeotermia e, portanto, sao adaptadas a regiao, podendo ser uma alternativa a ser utilizada pelos criadores desta regiao.
Ethnic Identity and Psychological Adjustment: Chinese Youth in the U.S.

CHAPTER1: INTRODUCTION.1 Statement of the Problem.3 Research Questions.3 Hypotheses.4 Definitions.4 Assumptions.6 Limitations.6 Delimitations.6 CHAPTER 2: REVIEW 0F LITERATURE.8 Immigrant Cross-cultural Adaptation and Factors Influencing It.8 Theoretical Framework.10 Relation of Ethnic Identity and Psychological Adjustment.12 CHAPTER 3: METHODOLOGY.15 Introduction.15 Participants.15 Measurements.15 Procedure.19 Data Analyses. 19 CHAPTER 4: RESULTS . 20 Preliminary Analyses.20 Correlational Analyses.22 CHAPTER 5: DISCUSSION.27 Applications.29
Making Dropout Invariant to Transformations of Activation Functions and Inputs

The dropout learning algorithm randomly sets the activities of hidden units and inputs to zero during training. While highly successful, dropout is not invariant to transformations of activation functions and inputs, raising the question of whether it is suboptimal. To eliminate this arbitrary dependence, we introduce ‘invariant dropout’, which has one extra parameter for each input or hidden unit, that translates the activity so that the dropout value of zero is not tied to a particular activation level. The invariant dropout learning algorithm is very simple to implement and is computationally efficient. We show that invariant dropout can be used to achieve consistently lower error rates than regular dropout on the MNIST, CIFAR-10, SVHN and MAS datasets. To explore whether invariant dropout can be successfully combined with other methods, we used it to train maxout networks and again observed reductions in error rates. Interestingly, invariant dropout can also be viewed as minimizing unnecessary variance in the training cost function, equipping each hidden unit with a different input bias for each network in a Bayesian ensemble, and using a population average as the dropout level so as to prevent extreme co-adaptation.
Improved Vertically-Aligned Nematic Mode for High Performance Displays

This paper presents an improved vertical alignment nematic liquid crystal mode characterized by the protrusions or slits of the top substrate and additional stripe type common electrodes with polarity switching of the bottom substrate to improve multi-domain vertically aligned (MVA) and patterned vertically aligned (PVA) nematic modes. MVA and PVA modes have disadvantages such as an LC disclination in the vicinity of the middle region of electrodes between the top and bottom protrusions in MVA mode or the top and bottom slits in PVA mode. Therefore, the stripe type common electrode generating a horizontal electric field and the protrusion or slit producing some pretilt of liquid crystals (LCs) were used to improve the LC disclination, which influences the transmittance and response speed. The simulation results showed that the proposed VA mode has higher transmittance than the MVA and PVA modes. As a result, the proposed VA mode can improve the response speed and transmittance remarkably, which makes it useful for upgrading the LCD display quality.
Debt and Corporate Governance in Emerging Economies Evidence from India

We analyze the role of debt in corporate governance with respect to a large emerging economy, India, where debt has been an important source of external finance. Using cross-sectional data on listed manufacturing firms we estimate, simultaneously, the relation between Tobin's Q and leverage for three years, 1996, 2000 and 2003. Our analysis indicates that while in the early years of institutional change, debt did not have any disciplinary effect on either standalone or group affiliated firms, the disciplinary effect appeared in the later years as institutions became more market oriented. We also find limited evidence of debt being used as an expropriation mechanism in group firms that are more vulnerable to such expropriation. In general, our results highlight the role of ownership structures and institutions in debt governance.
Mass spectrometry in high throughput analysis

Elizabeth Want a,b, Michael Greig c, Bruce Compton d, Ben Bolanos c and Gary Siuzdak a,b,∗ a The Scripps Research Institute, 10550 North Torrey Pines Road, La Jolla, CA 92037, USA b Mass Consortium Corporation, 3030 Bunker Hill Street, San Diego, CA 92109, USA c Pfizer Global Research and Development – La Jolla Laboratories, Agouron Pharmaceuticals, Inc., 10770 Science Center Drive, San Diego, CA 92121, USA d Waters Corporation, 34 Maple Street, Milford, MA 01757, USA
Modelling of the Separation Process in a FerrohydrostaticSeparator Using Discrete Element Method

This paper presents a model of the separation process in a ferrohydrostatic separator (FHS) which has been designed and developed at DBGS, De Beers, South Africa. The model was developed using special discrete element method software package called Particle Flow Code in 3D ( PFC 3D ). Special attention has been paid to the selection of the simulation parameters in order to achieve the required feed rates. The simulation was carried out using spherical particles and density tracers of different sizes and densities ranging between 0.004 and 0.008 m and 2700 and 3800 kg/ m 3 , respectively. The tracers were used to set the apparent density of the ferrofluid (the cut-point) and to provide a measurement of the efficiency of the separation. The model is replacing the ferrofluid by imposing a drag force on the particle. The results of the simulation were presented in the form of the distribution of the density tracers into the sink fraction. These results are realistic and show the advantages of DEM to understand the complex flow behavior of granular materials.
Evaluation of application of collaborative learning in schools with Kirkpatrick peer educators sexual education method

Purpose: This research aimed to evaluate the collaborative learning outcomes of the application of Kirkpatrick method for peer educators on sexual education in schools​. ​Method: ​This research was a quantitative study with a quasi-experimental design. Educators/peer tutors from two schools were grouped into two groups, namely the intervention group and the control group. ​Results: Results of the study describes the Kirkpatrick evaluation on collaborative learning methods in peer educators in schools, namely: 1) The majority of participants were satisfied with the results of the intervention group training; 2) there was an increase in knowledge and skills in the control group and intervention during the pretest and posttest; 3) increased knowledge and skills of collaborative learning participants with better training than in the control group; and 4) the intervention group could conduct collaborative learning as a result of the training given. ​Conclusion: Through the training methods of collaborative learning, the knowledge and skills of participants increased significantly compared to the control group, and participants could apply the training about sexual education in schools while doing health education and distributing brochures on sexual education.
Instance-based and feature-based classification enhancement for short & sparse texts

Short, sparse texts are becoming increasingly prevalent as a result of the growing popularity of social networking web sites, such as micro-blogs, Twitter and Flickr, and sites offering online product reviews. These short & sparse texts usually consist of a dozen or more words, or a few sentences, which we represent as a sparse document-term matrix. Compared to normal texts, short & sparse texts have three specific characteristics: (1) insufficient word co-occurrence to measure similarity, (2) low quality data resulting from spelling error, acronyms and slang, and (3) data sparseness. Normal classification methods therefore fail to achieve the desired level of accuracy for classifying short & sparse text. In this thesis, we present a series of novel approaches to enhance the performance of short & sparse text classification. Most texts can be represented as a twodimensional matrix and we use the terms “instance” and “feature” to denote the “row” and “column” concept respectively in the matrix. Corresponding to the matrix’s two dimensions, we design an instanceand feature-based framework to expand the rows/columns in the matrix. • for the instance-based framework, we extract an auxiliary dataset from an external online source (i.e. Wikipedia) with predefined class information, and integrate the target and auxiliary datasets with an instance-based transfer learning tool to enhance the classification performance of the target short text domain. Moreover, we propose a sampling framework to handle the challenge of low quality data in auxiliary dataset; • for the feature-based framework, we infer two kinds of feature sets with the given short texts, and then combine them with multi-view learning tool to enhance the classification performance. To handle the view disagreement challenge, we integrate a Bagging framework with Multi-view learning. The aim of the proposed algorithms is to improve classification performance (i.e. accuracy). To evaluate the proposed algorithms, we test them using a variety of benchmark datasets and real world datasets, such as sentiment texts in Twitter, preprocessed 20 Newsgroup data, review texts for seminars, and search snippets. Moreover, we compare the algorithm with other benchmark algorithms on all datasets. The results of our experiments demonstrate that the accuracy of our proposed algorithms is superior to that of other similar algorithms.
Factors influencing utilisation of postnatal services in Kampala, Uganda

Background: Maternal, child-health and health education are three major concerns of public health organizations and researchers throughout the world. Over half a million women encounter complications due to childbirth annually and many even die. Health education for mothers is thus a strategy many countries have adopted to improve maternal and child-health. Objectives: This study investigated possible factors influencing the use of postnatal services at two hospitals in Kampala- Uganda. Study Design: A cross-sectional survey was completed by a convenient sample of women. Methods: A structured questionnaire was administered to three hundred and thirty (330) women six to eight weeks after delivery. The participants were selected from a list of all women who delivered in two hospitals in Kampala, Uganda. Results: The main barriers to utilisation of postnatal services identified were lack of awareness about postnatal services, distance from hospitals and lack of somebody to take care of the children at home. Conclusions: The results from this study reinforce the need for education of women and the communities about the importance of postnatal care.
Uncertainty in economic evaluations: implications for healthcare decisions

Onzekerheid rondom kosteneffectiviteitsanalyse gezondheidszorg in kaart gebracht Wel of niet vergoeden? Die vraag wordt bij nieuwe behandelingen in de gezondheidszorg steeds belangrijker, en daarom spelen kosteneffectiviteitsanalyses een steeds belangrijkere rol. Leyla Mohseninejad verkende in haar promotieonderzoek manieren om de onzekerheid rondom zulke analyses in kaart te brengen en ze vertaalde deze theoretische concepten naar besluitvorming. Mohseninejad legt uit dat een kosteneffectiviteitsanalyse de extra kosten van een nieuwe behandeling koppelt aan de gezondheidswinst ten opzicht van de oude behandeling. Deze berekening wordt bemoeilijkt doordat de kosten en de gezondheidswinst lastig te voorspellen zijn, bijvoorbeeld doordat er gegevens uit verschillende bronnen worden gecombineerd of doordat er gewoonweg nog te weinig gegevens zijn. Dat betekent dat beslissingen die gebaseerd zijn op zo’n analyse, ook onzeker zijn. De promovenda paste enkele theoretische kostenberekeningsmethoden toe op concrete voorbeelden uit de gezondheidszorg, namelijk preventie van depressie door een “e-health”-behandeling, screening op coeliakie (glutenintolerantie) bij mensen met een prikkelbare darm, behandeling van uitgezaaide darmkanker en de behandeling van schimmelinfecties bij mensen met een ernstig verminderde afweer. Ze concludeert onder andere dat het mogelijk is, door een systematische analyse van kosten en opbrengsten in de tijd, om het tijdstip vast te stellen waarop verder verlengen van de evaluatieperiode van een bepaald duur geneesmiddel niet meer opweegt tegen de kosten. Deze resultaten kunnen zorgverzekeraars mogelijk helpen bij het vaststellen van een nieuwe leidraad.
Work Attitudes and Work Ethic as Predictors of Work Engagement among Polish Employees

: The purpose of this study was to investigate the relationship between work engagement and the psychological traits of employees, such as attitudes towards work and work ethic. Additionally, the study included demographic characteristics of employees and organizational characteristics. Research was conducted using the Polish adaptations of two well known methods: Multidimensional Work Ethic Profile and Utrecht Work Enagagement Scale, as well as the Work Attitude Questionnaire (WAQ) – a new Polish method. 360 adult employees of two large Polish regions took part in the study. The analysis showed a significant influence of hedonic-autotelic attitude, as well as four dimensions of work ethic on work engagement. It seems to be an important conclusion that work engagement turned out to be far more determined by the subject’s psychological traits than demographic and organizational ones. These results, indicating the special role of the perception of work as a central value, can be used only in the area of attitudes towards work formed during adolescence (e.g., at school, in career counseling) but also in the area of motivating the employees by the organization.
Rigorous global optimization of impulsive planet-to-planet transfers in the patched-conics approximation

The rigorous solution of a generic impulsive planet-to-planet transfer by means of a Taylor-model-based global optimizer is presented. Although a planet-to-planet transfer represents the simplest case of interplanetary transfer, its formulation and solution is a challenging task when the rigorous global optimum is sought.A customized ephemeris function is derived from JPL DE405 to allow the Taylor-model evaluation of planets’ positions and velocities. Furthermore, the validated solution of Lambert’s problem is addressed for the rigorous computation of transfer fuel consumption. The optimization problem, which consists in findin the optimal launch and transfer time to minimize the required fuel mass, is complex due to the abundance of local minima and relatively high search-space dimension. Its rigorous solution by means of theTaylor-model-based global optimizer COSY-GO is presented considering Earth–Mars and Earth–Venus transfers as test cases.
Discovery of a compact gas-rich DLA galaxy at z = 2.2: evidences for a starburst-driven outflow

We present the detection of Ly-alpha, [OIII] and H-alpha emission associated with an extremely strong DLA system (N(HI) = 10^22.10 cm^-2) at z=2.207 towards the quasar SDSS J113520-001053. This is the largest HI column density ever measured along a QSO line of sight, though typical of what is seen in GRB-DLAs. This absorption system also classifies as ultrastrong MgII system with W2796_r=3.6 A. The mean metallicity of the gas ([Zn/H]=-1.1) and dust depletion factors ([Zn/Fe]=0.72, [Zn/Cr]=0.49) are consistent with (and only marginally larger than) the mean values found in the general QSO-DLA population. The [OIII]-Ha emitting region has a very small impact parameter with respect to the QSO line of sight, b=0.1", and is unresolved. From the Ha line, we measure SFR=25 Msun/yr. The Ly-a line is double-peaked and is spatially extended. More strikingly, the blue and red Ly-a peaks arise from distinct regions extended over a few kpc on either side of the star-forming region. We propose that this is the consequence of Ly-a transfer in outflowing gas. The presence of starburst-driven outflows is also in agreement with the large SFR together with a small size and low mass of the galaxy (Mvir~10^10 Msun). From the stellar UV continuum luminosity of the galaxy, we estimate an age of at most a few 10^7 yr, again consistent with a recent starburst scenario. We interpret the data as the observation of a young, gas rich, compact starburst galaxy, from which material is expelled through collimated winds powered by the vigorous star formation activity. We substantiate this picture by modelling the radiative transfer of Ly-a photons in the galactic counterpart. Though our model (a spherical galaxy with bipolar outflowing jets) is a simplistic representation of the true gas distribution and velocity field, the agreement between the observed and simulated properties is particularly good. [abridged]
Determinants of reserve money demand: a multivariate co-integrating approach

In this paper, a reserve money demand model is constructed for the Turkish economy. Base on the contemporaneous multivariate co-integration estimation methodology, our findings indicate that the main alternative costs to hold reserve money balances in hand are the expected exchange rate depreciation representing ongoing currency substitution phenomenon in the economy and the equity prices. The semi-elasticity of domestic inflation reveals high degree of substitutability between real monetary balances and durable commodities. Furthermore, there exists evidence in favor of the effects of financial development on the money demand function in the sense that diversification of financial tools held in hand against demand for money balances is a necessary condition for the determination of long-run course of the monetary policy.