Miracle-dz/UniFAR-FTUs huggingface dataset:
Hydraulic Characteristics of Flow Over Rectangular Weir With Three Rectangular Bottom Openings Using ANN

This research was based on laboratory experiments for hydraulic characteristics for a rectangular weir with three rectangular bottom openings (equal size of openings, different size of mid opening than an equal size sides opening. fifty-six physical models were made for this structure with different geometrical dimensions. Data set are analyzed in order to find the discharge coefficient for three flow cases when water level (under openings height or between openings height and under crest level and finally through openings and over the weir) and this analysis is done by using an equation prepared for each flow. Dimensional analysis was made to relate the discharge coefficient with different geometrical and flow variables for each flow cases . The highest value of the discharge coefficient, was obtained for flow case no.3, (Cdc = 0.462), while the lowest value of discharge coefficient was occurred for flow case no.1,(Cdp =0.0193). The correlation of (Cdp , Cdf , Cdc)was higher negative with (bo/H) with values of (-0.706,-0.937,-0.863) respectively. For all the cases tested the coefficient of variation for the discharge coefficient were of range values (0.5632 - 0.211) which indicate the necessity of obtaining a model to describe this variation. An ANN models was developed herein using (SPSS software) to express the discharge coefficient as a function of the different geometrical and flow variables, with range of correlation coefficient for all models (r=0.999 - 0.941) and applied the results in VISUAL Studio Net,2010 in order to be used by Engineers to find the discharge coefficient and the actual discharge of each model.
Wind energy systems and power quality: matrix versus two-level converters

This paper presents data of the actual installed electric power capacity for the renewable energy power systems in Portugal. Also, this paper presents a contribution consisting in a modulation strategy for simulation of a wind energy system with different topologies for power converters, consisting on a matrix and a two-level converter. Although more complex, this modulation strategy is justified for more accurate results.
Numerical methods for scattering problems from multi‐layers with different periodicities

In this paper, we consider a numerical method to solve scattering problems with multi‐periodic layers with different periodicities. The main tool applied in this paper is the Bloch transform. With this method, the problem is written into an equivalent coupled family of quasi‐periodic problems. As the Bloch transform is only defined for one fixed period, the inhomogeneous layer with another period is simply treated as a non‐periodic one. First, we approximate the refractive index by a periodic one where its period is an integer multiple of the fixed period, and it is decomposed by finite number of quasi‐periodic functions. Then the coupled system is reduced into a simplified formulation. A convergent finite element method is proposed for the numerical solution, and the numerical method has been applied to several numerical experiments. At the end of this paper, relative errors of the numerical solutions will be shown to illustrate the convergence of the numerical algorithm.
Formal and Informal Facilitators of Learning Capability: The Moderating Effect of Learning Climate

Organizations need to put in practice the most favourable conditions to facilitate learning capability. The different ways of thinking about learning in organizations distinguish two kinds of learning facilitators: formal and informal facilitators. In this paper, we suggest that organizations undertake both types of learning facilitators, but considering that informal facilitators may act as potential moderators of the effects of formal ones. We have focused on one comprehensive informal facilitator, the learning climate, and four formal facilitators: environmental scanning, strategic planning, performance measurement, and information technologies.
Sport participation, psychological well-being and psycho-social development in a group of young black adults / Andrew Malebo

The purpose of this study was to determine whether young black adults who participate in sport differ in psychological well-being and psychosocial development from those who do not participate actively in sport. An availability sample of 293 students between 20 and 35 years old from three tertiary institutions in South Africa completed self-report measures of psychological well-being and psychosocial development. Reliability and validity of instruments were acceptable for use in this particular group. Students who participate actively in sport had significantly lower levels of negative affect, somatic symptoms, symptoms of depression and pessimistic life orientation, and significantly higher levels of positive affect, sense of coherence and self-efficacy beliefs. They also manifested higher levels of purpose and autonomy. Educational and policy implications of findings are indicated. Key words: Sport participation, physical activity, psychological well-being, psychosocial development, students, and young black adults
Why do parties fail? Cleavages, government fatigue and electoral failure in the Czech Republic, Slovakia and Hungary 1992–2012

During the first two decades after the collapse of communism, 37 political parties won representation in the Czech, Slovak, or Hungarian Parliaments. By 2012, 22 of these parties had failed in the sense that they have fallen below the 5% electoral threshold at least once. This set of failed parties includes a wide range of parties, from the far right and nationalist flanks to unreconstructed communists, including centre, green, agrarian, Christian, and social democrat parties. Some were represented in parliament for one term only; others were in parliament for two decades. In this article, we explore how and why these parties fell out of parliament. Beyond the obvious answer – that they failed to win enough votes – five factors involve particularly high political risk for political parties. Two system-level factors are somewhat beyond the control of the smaller parties: changes in the salience of cleavages and the electoral system. However, the other three are directly linked to the parties' strategies for competition: whether they participate in coalition government as a junior partner, how they manage internal dissent, and the party's organisational strength.
Hidden Markov Model for the detection of a degraded operating mode of optronic equipment

As part of optimizing the reliability, Thales Optronics now includes systems that examine the state of its equipment. The aim of this paper is to use hidden Markov Model to detect as soon as possible a change of state of optronic equipment in order to propose maintenance before failure. For this, we carefully observe the dynamic of a variable called "cool down time" and noted Tmf, which reflects the state of the cooling system. Indeed, the Tmf is an observation of the hidden state of the system. This one is modelled by a Markov chain and the Tmf is a noisy function of it. Thanks to filtering equations, we obtain results on the probability that an appliance is in degraded state at time $t$, knowing the history of the Tmf until this moment. We have evaluated the numerical behavior of our approach on simulated data. Then we have applied this methodology on our real data and we have checked that the results are consistent with the reality. This method can be implemented in a HUMS (Health and Usage Monitoring System). This simple example of HUMS would allow the Thales Optronics Company to improve its maintenance system. This company will be able to recall appliances which are estimated to be in degraded state and do not control too early those estimated in stable state.
Dispersal, connectivity, and local conditions determine zooplankton community composition in artificially connected ponds

Human-induced increases in ecosystem connectivity can have metacommunity-wide impacts; however, little to no research has tested this assumption. We examined both the mass-effect and species-sorting theories in relation to zooplankton communities in ponds with or without artifi- cial connections to other ponds. We measured the species-abundance composition of the zooplank- ton community, direct distances between ponds, and several environmental factors (chlorophyll a, Secchi depth, nutrients) in 18 ponds. The results indicated that the zooplankton communities among unconnected ponds were significantly related to environmental and distance factors. In contrast, the communities among connected ponds were not related to any of the predictive factors. Variance in zooplankton species composition was explained by the spatial arrangement of ponds and local envi- ronmental conditions. This study demonstrated that artificial connections to other ponds alter the metacommunity structure of zooplankton communities.
Sexual dimorphism in prophase I of meiosis in the Northern mole vole (Ellobius talpinus Pallas, 1770) with isomorphic (XX) chromosomes in males and females

The synaptonemal complex (SC) surface-spreading technique was used to visualize the process of chromosome synapsis in spermatocytes and oocytes of E. talpinus Pallas, 1770, a species with the XX sex chromosome system in both males and females. We used electron microscopy and immunofl uorescent localization of synaptonemal complex protein (SCP3) and centromeric proteins to analyze the structure and behaviour of synaptonemal complexes in prophase I of meiosis, aiming to reveal signs of meiotic sexual dimorphism in this species. We present evidence of considerable differences in the structure and behaviour of the axial structures of sex bivalents in male and female meiosis, despite the isomorphic Gand C-banding patterns of mitotic sex chromosomes. During meiotic prophase I, the sex bivalent in females behaved as autosomal bivalents, but it was not involved in the formation of the bouquet confi guration or it was the fi rst to leave it. The XX chromosomes of males formed closed sex bivalents. Only short tracts of SC were formed at both ends of the sex bivalent, while large middle segments of the lateral elements remained unpaired. The male sex chromosomes also formed characteristic “sex bodies”. In fact, electron microscopy revealed dense nucleolus-like bodies associated with unpaired parts of the axial elements. These regions of the sex chromosomes were poorly immunostained, because the distribution of SCP3 had a peculiar powder-like pattern, but SCP3 was not associated with the nucleolus-like bodies. We also revealed signs of sexual dimorphism in the dynamics of formation and destruction of autosomal SCs. In males, the total SC length was shorter than in females. The chromosome bouquet confi guration was preserved up to the stage of early pachytene in females. The bouquet confi guration in males was not expressed. At late pachytene, gaps were revealed in the structure of autosomal SCs in spermatocytes immunostained with antibodies to SCP3. The pattern of distribution of these gaps was comparable with the G-banding patterns of mitotic chromosomes.
Consideration of Cost and Environmental Emissions of Solid Waste Management under Conditions of Uncertainty

KAPLAN, PERVIN OZGE. Consideration of Cost and Environmental Emissions of Solid Waste Management under Conditions of Uncertainty. (Under the direction of Dr. S. Ranjithan) Among the many models and tools available for solid waste management (SWM), the integrated SWM decision support tool (ISWM DST) developed at North Carolina State University provides a comprehensive and integrated approach that considers cost and environmental factors associated with a large set of waste processing options. ISWM DST is designed to generate alternative SWM strategies that meet user-defined cost and environmental objectives. In addition to an array of site-specific inputs, this tool includes a large number of model parameters, which are currently treated deterministically with point estimates for inputs. A high degree of variability and uncertainty is known to exist in these input parameters, affecting the uncertainty in the model outputs. The absence of a systematic procedure to consider uncertainty in ISWM DST is a major drawback. The goal of this study is to develop and incorporate an uncertainty analysis component into ISWM DST. A Latin Hypercube Sampling (LHS) procedure is coupled with a simulation approach to enable uncertainty propagation. The capabilities of this new component are demonstrated using a realistic case study in which a series of scenarios are examined assuming uncertainty in a subset of the input parameters. For each scenario, the alternative strategy development capabilities of ISWM DST is first applied, the then each SWM strategy is evaluated under conditions of uncertainty. Performance of alternative strategies is compared, and more reliable or robust strategies are identified. New and useful insights that were not apparent under deterministic conditions were gained, contributing more information to assist in SWM decision making. Further, correlation analysis was conducted to identify the uncertain input parameters that contribute mostly to the output uncertainty. This information is also expected to be valuable in making more informed decisions. In summary, this research contributes by significantly enhancing via the uncertainty analysis component the broad array of powerful capabilities of ISWM DST, making this tool more applicable in SWM planning and design practice. Consideration of Cost and Environmental Emissions of Solid Waste Management under Conditions of Uncertainty
The Impact of Post-School Vocational Qualifications on the Labour Market Outcomes of Low-Achieving School Leavers in the UK

This paper documents the extent of low achievement at school amongst recent school leavers, and estimates its impact on labour force status. The paper then investigates to what extent unqualified school leavers can improve their labour market status through the acquisition of vocational qualifications, and how many follow this option. The results show that vocational qualifications at all levels can dramatically improve the employment chances of unqualified school leavers, even after controlling for unobserved individual heterogeneity. There are also smaller positive effects on wages. However, few unqualified school leavers seem to be following this vocational route to qualification achievement. JEL classification: J24 I28.
BIBLIOMETRIC EVALUATION OF SCIENTIFIC LITERATURE IN THE AREA OF RESEARCH IN EDUCATION USING INCITES™ DATABASE OF THOMSON REUTERS

InCitesTM uses data from seven editions of the Thomson Reuters Web of ScienceTM Core Collection for its publication counts and indicators. InCitesTM is currently the only available tool that allows to aggregate data concerning citations that would be divided into areas, journals and scientific institutions, using multi-criteria search. Contrary to such database as Scopus or Google Schoolar, InCitesTM offers a much broader range of analytical possibilities and creating bibliometric statements.
Application of Computer Vision Methods and Algorithms in Documentation of Cultural Heritage

The main task of this paper is to describe methods and algorithms used in computer vision for fully automatic reconstruction of exterior orientation in ordered and unordered sets of images captured by digital calibrated cameras without prior informations about camera positions or scene structure. Attention will be paid to the SIFT interest operator for finding key points clearly describing the image areas with respect to scale and rotation, so that these areas could be compared to the regions in other images. There will also be discussed methods of matching key points, calculation of the relative orientation and strategy of linking sub-models to estimate the parameters entering complex bundle adjustment. The paper also compares the results achieved with above system with the results obtained by standard photogrammetric methods in processing of project documentation for reconstruction of the Žinkovy castle.
Globalization, Structural Change, and Interregional Productivity Growth in the Emerging Countries

The aim of this paper is to contribute to the debate on the structural change effects or labor reallocation effects on the regional disparity in productivity growth in India and the People’s Republic of China (PRC). The paper uses secondary data at the state level in India and provinces in the PRC between 1993 and 2010. This paper uses the generalized method of moment (GMM) system estimator in a dynamic spatial panel data framework for the empirical analysis. The empirical investigations draw four results. First, the shift-share analysis suggests that the low-income regions have a higher structural change effect on labor productivity growth (LPG) than the high-income and middle-income regions. Second, the structural change has played an important role in boosting LPG. Third, the neighborhood effects also contribute positively to LPG. Fourth, human capital, investment in fixed assets, and FDI have boosted LPG. Finally, I suggest that policymakers should consider the role of structural change effects along with the neighborhood relationship, human capital, physical investment, and FDI for designing policies in order to reduce disparities in productivity growth, and hence economic growth, which will in turn help to avoid the middle-income trap.
Consumer Segmentation by Online Information Search Behavior in Yinchuan, China

Consumers in China increasingly rely on the Internet for product information, especially for high involvement product categories, such as automobiles. Although Chinese differ from Europeans in terms of their online information search behavior, little research has been conducted in an effort to investigate patterns of online information search on Chinese populations. The goal of this study was to identify patterns of online information search and profile each pattern. Data were collected from automobiles consumers in Yinchuan, Ningxia Hui Autonomous Region, China. Three distinct search groups were identified. These three groups were profiled on a variety of demographic and socio-economic characteristics. This study highlights online information search behavior as a segmentation variable and provides meaningful implications for communication strategies directed to consumers in the third-tier cities in China.
In vitro multiplication of Eucalyptus hybrid via temporary immersion bioreactor: culture media and cytokinin effects

This study aimed to assess the influence of culture medium and cytokinin type on in vitro multiplication of an Eucalyptus grandis x E. urophylla hybrid clone via temporary immersion bioreactor (TIB®). JADS, modified MS at a (NO3ˉ):(NH4 +) ratio, and WPM were used as liquid media; and BAP, KIN, and TDZ were the cytokinins used in the study. According to the results, explants under the influence of modified MS presented better results for all traits. BAP was the most suitable plant growth regulator for axillary bud shoot proliferation. By the leaf histological analysis, most of the shoots grown in the presence of BAP either exhibited normal morphology or only a few hyperhydricity symptoms. All these results were obtained at 19 days after in vitro cultivation, a shorter period when compared with other works in the literature, showing the protocol efficiency in the multiplication of this hybrid clone using TIB®.
Adopting the I3–R24 rainfall index and landslide susceptibility for the establishment of an early warning model for rainfall-induced shallow landslides

Abstract. Rainfall-induced landslides number among the most devastating natural hazards in the world and early warning models are urgently needed to reduce losses and fatalities. Most landslide early warning systems are based on rainfall thresholds defined on the regional scale, regardless of the different landslide susceptibilities of various slopes. Here we divided slope units in southern Taiwan into three categories (high, moderate and low) according to their susceptibility. For each category, we established separate rainfall thresholds so as to provide differentiated thresholds for different degrees of susceptibility. Logistic regression (LR) analysis was performed to evaluate landslide susceptibility by using event-based landslide inventories and predisposing factors. Analysis of rainfall patterns of 941 landslide cases gathered from field investigation led to the recognition that 3 h mean rainfall intensity (I3) is a key rainfall index for rainfall of short duration but high intensity; in contrast, 24 h accumulated rainfall (R24) was recognized as a key rainfall index for rainfall of long duration but low intensity. Thus, the I3–R24 rainfall index was used to establish rainfall thresholds in this study. Finally, an early warning model is proposed by setting alert levels including yellow (advisory), orange (watch) and red (warning) according to a hazard matrix. These differentiated thresholds and alert levels can provide essential information for local governments to use in deciding whether to evacuate residents.
The Importance of Integrating Quantitative Research Methods to Understand Commodity Business Finance

There is significant variety in the range of quantitative methods used to analyse problems in commodity business finance. This study focuses on how these methods can be to aid the understanding of how crude oil spot and futures markets behave during major shock events that are characterised by high levels of uncertainty and risk to businesses that rely on commodities to function. This paper uses the context of the relationships and behaviour of spot and futures prices of major oil benchmarks such as Brent crude oil (the European crude oil benchmark), the West Texas Intermediate (the US benchmark) and the Dubai crude oil (the Middle East benchmark). The research methodologies under consideration are of a great value for businesses, and in particular to practitioners, as they help them by offering in depth analysis of oil price behaviour. This aids decision making for example on topics such as strategic investment and sourcing of raw materials. Through integrating different methodologies, this paper also contributes towards the operationalisation of behavioural finance theory. This relatively new theory considers that the markets are not as predictable as once thought and decisions are really made based on how we, as humans, make decisions. The use of multiple methodologies contributes to capture the variance that occurs across the market under behavioural finance theory.
'Soft' human resource management in small international joint ventures: Cases from the Danish-Vietnamese context

This paper examines the value creation aspects of HRM in international joint ventures of a relatively small size and their implications for strategic management. We assume that HRM in this context is rather a process than a function, and a ‘soft’ – humanistic rather than a ‘hard’, instrumentalist managerial approach. Using cases from a modest sample of Danish – Vietnamese joint ventures, we propose that HRM is significantly associated with creating a healthy and adaptive environment for mutual learning and socializing as well as a flexible empowerment mechanism in the condition of a certain extent of joint venture autonomy. A conceptual framework developed from these empirical insights invites further generalizing efforts, and more importantly, contributes to a dynamic understanding of HRM in small IJVs. KeywordsInternational joint venture, human resource management, expatriate manager, local manager, mutual learning, empowerment, socializing.