Miracle-dz/UniFAR-FTUs huggingface dataset:
Hydromagnetic Flow with Dufour and Soret Effects past a Vertical Plate Embedded in Porous Media

The effect of thermal diffusion and diffusion thermo on mixed convection MHD flow past a semi-infinite vertical porous plate embedded in a porous medium with viscous and Ohmic dissipation is investigated. The governing equations of the problem are transformed to ordinary differential equations using similarity variables and then solved numerically by the fourth-order Runge-Kutta-Fehlberg method with shooting technique. Numerical results showing the effects of various thermophysical parameters on the local skin-friction coefficient, the local Nusselt number and the local Sherwood numbers are presented in tables whilst graphical illustrations for the velocity, temperature and concentration profiles are presented and discussed quantitatively. Keywords: Hydrodynamics; Hydromagnetic; Boundary layer; Mass Transfer; Heat Transfer; Mass Flux; suction.
Allozyme analysis of gibel carp Carassius gibelio (Bloch, 1782) populations in Bulgaria.

Ivanova, P., T. TrIchkova, I. Dobrovolov and v. nIkolov, 2013. allozyme analysis of gibel carp Carassius gibelio (bloch, 1782) populations in bulgaria. Bulg. J. Agric. Sci., 19: 1408-1415 Genetic diversity among 10 populations of gibel carp Carassius gibelio in bulgaria were analyzed using general muscle proteins and five enzymes (encoded by 16 loci) as markers. All of the six systems investigated indicated polymorphism and nine polymorphic loci (PROT-3*, EST-1*, EST-2*, sMDH-2*, sMDH-3*, mMEP*, sMEP*, LDH-B*1 and SOD*) were detected. These loci were encoded by codominant alleles and their inheritance patterns were analyzed. The gene frequencies of polymorphic loci can be used as genetic markers for distinguishing of gibel carp populations in Bulgaria. The analyses of genetic distances between the populations of C. gibelio indicated a natural dispersal and/ or deliberate introduction of this invasive species from the Danube river basin to the other inland water bodies in bulgaria.
Fuzzy classification trees as environmental indicators

Classification trees are valuable data mining tools, but sometimes they lack generality and flexibility. The idea described in this paper is to increase the generality of classification trees by deriving a fuzzy inferential engine from its hierarchical structure. The paper describes the steps through which the tree structure is decomposed and translated into fuzzy rules. To obtain a complete inferential system fuzzy memberships are then added and optimized. The combined algorithm is demonstrated with classification examples and the improvements with respect to the original tree are discussed.
Clustered visualisation for network intrusion analysis

The attacks on computer networks and computer systems are increasingly becoming numerous and sophisticated in nature. Hence this has given a growing need for intrusion detection systems to identify these attacks. The use of these intrusion detection systems have given rise to another problem, the handling, and the presentation of large amounts of alerts generated by these systems. In this paper we introduce a layered framework for network intrusion analysis and use a clustered visualization technique to group and visualize large amounts of alerts, and other network nodes based on their similarities. This layered clustering visualization allows users to visually explore and analyze the intrusion data. The cross-navigation between layers is achieved by user’s interaction. This allows users to actively display the groups and associated properties of these alerts and nodes in an efficient way.
Bathymetry and oceanic flow structure at two deep passages crossing the Lomonosov Ridge

Abstract. The Lomonosov Ridge represents a major topographical feature in the Arctic Ocean which has a large effect on the water circulation and the distribution of water properties. This study presents detailed bathymetric survey data along with hydrographic data at two deep passages across the ridge: a southern passage (80–81 ∘ N), where the ridge crest meets the Siberian continental slope, and a northern passage around 84.5 ∘ N. The southern channel is characterized by smooth and flat bathymetry around 1600–1700 m with a sill depth slightly shallower than 1700 m. A hydrographic section across the channel reveals an eastward flow with Amundsen Basin properties in the southern part and a westward flow of Makarov Basin properties in the northern part. The northern passage includes an approximately 72 km long and 33 km wide trough which forms an intra-basin in the Lomonosov Ridge morphology (the Oden Trough). The eastern side of the Oden Trough is enclosed by a narrow and steep ridge rising 500–600 m above a generally 1600 m deep trough bottom. The deepest passage (the sill) is 1470 m deep and located on this ridge. Hydrographic data show irregular temperature and salinity profiles indicating that water exchange occurs as midwater intrusions bringing water properties from each side of the ridge in well-defined but irregular layers. There is also morphological evidence that some rather energetic flows may occur in the vicinity of the sill. A well expressed deepening near the sill may be the result of seabed erosion by bottom currents.
EXPERIMENTAL VALIDATION OF A HYBRID WIDE-ANGLE PARABOLIC EQUATION — INTEGRAL EQUATION TECHNIQUE FOR MODELING WAVE PROPAGATION IN INDOOR WIRELESS COMMUNICATIONS

A new full-wave Parabolic — Integral Equation Method (PE-IEM) for the simulation of wave propagation in realistic, highly complex indoor communication environments is proposed, together with an extensive validation via measurements. The method is based on a wide-angle parabolic equation, further enhanced by an integral equation correction and is capable of providing good approximations of the electromagnetic fields and the received power, incorporating all fundamental propagation mechanisms in a single simulation. For a rigorous validation, it has been applied in a complex twelve-room office space and compared with measurements at the two different frequencies of 1 GHz and 2.5 GHz. The accuracy of the approximation is within reasonably expected margins, while the method retains all the advantages of full wave methods and it also has moderate requirements of computational resources.
An online Bayesian mixture labelling method by minimizing deviance of classification probabilities to reference labels

Solving label switching is crucial for interpreting the results of fitting Bayesian mixture models. The label switching originates from the invariance of posterior distribution to permutation of component labels. As a result, the component labels in Markov chain simulation may switch to another equivalent permutation, and the marginal posterior distribution associated with all labels may be similar and useless for inferring quantities relating to each individual component. In this article, we propose a new simple labelling method by minimizing the deviance of the class probabilities to a fixed reference labels. The reference labels can be chosen before running Markov chain Monte Carlo (MCMC) using optimization methods, such as expectation-maximization algorithms, and therefore the new labelling method can be implemented by an online algorithm, which can reduce the storage requirements and save much computation time. Using the Acid data set and Galaxy data set, we demonstrate the success of the proposed labelling method for removing the labelling switching in the raw MCMC samples.
Multi-Objective Scheduling on a Single Machine with Evolutionary Algorithm

In this chapter, the single-machine scheduling problem (SMSP) is addressed by adopting a multi-objective perspective. A finite set of independent jobs has to be scheduled on a single server that is continuously available and has the ability to process only one job at a time. Once a job has started its processing it cannot be interrupted and no idle time between successive jobs is allowed. Each job is characterized by its processing time and due date, both integer numbers. Job scheduling considering only one criterion can be thought of as an over-simplification of the problem, since there are several objectives related to this problem, namely sum of earliness/tardiness, max earliness/tardiness and so forth. There is a growing trend in the relevant literature to study scheduling problems under multiple objectives. Some indicative examples can be found in the works of (Behnamian et al., 2009); (Yagmahan et al., 2010); (Loukil et al., 2005); (Moslehi & Mahnam, 2010); (Choobineh et al, 2006) and (Gupta & Sivakumar, 2005). In this chapter we consider two objectives; sum of earliness and sum of tardiness. In general, these objectives are conflicting meaning that a solution that improves one objective function will deteriorate the other. In the absence of optimization criteria preferences each one objective needs to be dealt with explicitly, giving rise to the concept of Pareto optimality. The solution to the bi-objective single-machine scheduling problem is a set of points in objective space known as Pareto front and all points along the Pareto front share the following property: the value of a certain objective function can be improved only by degrading the value of at least one of the remaining objective functions. The derivation of the Pareto set using exhaustive search is limited to relatively small instances of the problem due to the combinatorial explosion that takes place as the dimensionality increases. Consequently, the application of meta-heuristics appears to be well-suited for this type of problems. The reader is referred to (Bagchi, 1999) for further information on multiobjective scheduling using evolutionary techniques. In this chapter, a multi-objective algorithm evolutionary algorithm (MOEA) for approximating the Pareto front in singlemachine scheduling problems is described and analyzed. The MOEA is tested in a series of randomly generated SMSP instances of various configurations. In order to select appropriate parameters for the MOEA we apply techniques from the field of design of experiments (DoE), specifically general fractional factorial designs. The solutions found by the MOEA are
Direct Tests of the Expectations Theory of the Term Structure: Survey Expectations, the Term Premium and Coefficient Biases

A common perception in the literature seems to be that the expectations theory of the term structure of interest rates (ET) is rejected by the empirical tests. However, the overall evidence across countries and time periods is actually mixed between frequent support and occasional rejection of the ET and requires careful interpretation. This paper builds on two premises. First, the general version of the expectations theory does not require a constant term premium. Second, contrary to the classic perfect-foresight-with-error hypothesis real world rational expectations do not necessarily satisfy unbiasedness and ex post efficiency conditions. Direct tests that take into account the weaknesses of the restrictive auxiliary assumptions show that the expectations theory fits the term structure data very well.
Effect of Loading Split-Ring Resonators in a Microstrip Antenna Ground Plane

This study presents a new, simple method for improving the front-to-back (F/B) ratio of a microstrip patch antenna (MSA) based on surface wave suppression. The back radiation of the MSA is significantly reduced by using the meandered ground plane edges and placing split-ring resonators (SRRs) in the middle of the meandered slots. By loading SRRs near the center of the meandered ground plane edges, some parts of the diffracted back-lobe power density can be reduced further. Compared to the F/B ratio of a conventional MSA with a full ground plane of the same size, an improved F/B ratio of 18 dB has been achieved experimentally for our proposed MSA.
Applicability of hased rray ntenna to ground penetrating radar

Ground Penetrating Radar (GPR) has been widely used to detect objects in shallow subsurface. Although a bow-tie antenna, which is the major antenna in practice, provides clear cross sections in the shallow subsurface especially under survey line, the resolution in the direction of cross-line depends strongly on the spatial interval between neighboring survey lines. Moreover, no subsurface image could be obtained for subsurface beneath complex artificial structures on the surface since no survey line may be drawn above the structures. These are the two major problems in the current practice of GPR surveys. We would like to propose a method to overcome these two problems with the use of phased array antenna as a radar source. We conducted some numerical simulations using a 3D-FDTD method and examined the performance of the antenna in terms of signal-to-noise ratio of the generated electromagnetic (EM) wavefield and the response to slanted EM wavefield input. Our numerical results indicate that the application of the phased array system to GPR could enhance the signal-to-noise ratio for reflectors located lateral to the survey line, and has a potential to be used as an angular scanner imaging tool that has not been attempted in the conventional GPR system. The latter may also indicate that the number of survey lines could be reduced to lower the cost of GPR surveys.
Preliminary assessment of the variability of UK offshore wind speed as a function of distance to the coast

In the UK, there is an interest in the expected offshore wind resource given ambitious national plans to expand offshore capacity. There is also an increasing interest in alternative datasets to evaluate wind seasonal and inter-annual cycles which can be very useful in the initial stages of the design of wind farms in order to identify prospective areas where local measurements can then be applied to determine small-scale variations in the marine wind climate. In this paper we analyse both MERRA2 reanalysis data and measured offshore mast data to determine patterns in wind speed variation and how they change as a function of the distance from the coast. We also identify an empirical expression to estimate wind speed based on the distance from the coast. From the analysis, it was found that the variations of the seasonal cycles seem to be almost independent of the distance to the nearest shore and that they are an order of magnitude larger than the variations of the diurnal cycles. It was concluded that the diurnal variations decreased to less than a half for places located more than 100km from the nearest shore and that the data from the MERRA2 reanalysis grid points give an under-prediction of the average values of wind speed for both the diurnal and seasonal cycles. Finally, even though the two offshore masts were almost the same nearest distance from the coast and were geographically relatively close, they exhibited significantly different behaviour in terms of the strength of their diurnal and seasonal cycles which may be due to the distance from the coast for the prevailing wind direction being quite different for the two sites.
El rendimiento escolar, la inteligencia emocional y el engagement académico en una muestra de escolares

Introducción. Durante la etapa escolar del alumnado en los centros educativos se producen diferentes situaciones personales y académicas que influyen de manera determinante tanto en la personalidad como en el rendimiento del mismo. Por ello, el estudio de variables como la inteligencia emocional, el engagement así como el rendimiento escolar contribuirá a comprender las relaciones entre dichos constructos siendo el objetivo del presente trabajo analizar la relación entre la inteligencia emocional, el engagement académico y el rendimiento escolar en una muestra de 3512 estudiantes adolescentes pertenecientes a 18 centros de Educación Secundaria Obligatoria (ESO). Método. El presente trabajo consistió en un estudio ex post-facto de carácter prospectivo con un diseño descriptivo simple, respondiendo a un muestreo aleatorio. Los instrumentos utilizados fueron las versiones españolas del Traid Meta–Mood Scale-24 (TMMS-24), el Utrecht Work Engagement Scale–Student (UWES-S) y el rendimiento escolar se cuantificó a través de la nota media del alumnado.Resultados. Los resultados mostraron relaciones positivas del rendimiento escolar con todas las dimensiones del engagement académico y la inteligencia emocional, salvo con la percepción emocional; actuando, a su vez, como valor predictivo de la dedicación a las tareas académicas. Discusión y conclusiones. Se desprende la necesidad de promover comportamientos adaptativos en el aula como facilitadores de las actitudes positivas hacia el desempeño escolar y mejora del desarrollo integral y rendimiento escolar de los estudiantes.
Precision Assembly and Metrology of X-ray Foil Optics

Achieving arcsecond angular resolution in a grazing-incidence foil optic x-ray telescope such as the segmented mirror approach being considered for the NASA Constellation-X mission requires accurate and repeatable placement of thousands of individual foils. We are developing a method for assembling nested, segmented foil optics with sub-micron accuracy and repeatability using lithographically manufactured silicon alignment microstructures, called microcombs [1]. A system of assembly tooling incorporating the silicon microstructures, called an assembly truss, is used to position the foils that are then bonded to a spaceflight module. The advantage of this procedure is that the flight module has relaxed tolerance requirements while the precision assembly tooling can be reused. Previous work [5] has demonstrated that the microcombs can provide accurate and repeatable reference surfaces for the optic foils; current research has developed a device that makes progress towards actual flight module assembly. Key features include flexure bearings for frictionless motion of the microcombs, kinematic couplings to ensure repeatable alignment of successive flight modules, and flight module integration. Metrology of the foil optics is critical to meeting the telescope performance goals. In addition to the sub-micron assembly tolerances, individual foils must be manufactured with figure error less than 500 nm over their 140×100 mm surface area. A deep-UV Shack-Hartmann surface mapping tool has been created to determine whether the foils meet these manufacturing requirements and to provide active metrological feedback during the assembly procedure.
Semiconductor lasers using diffused quantum-well structures

We assess the relative merits and prospects of using diffused quantum-well (QW) structures in semiconductor lasers. First, different techniques to achieve interdiffusion are analyzed and compared. Second, recent development of semiconductor lasers using interdiffusion technique is also discussed. Third, the optical properties of diffused QWs are studied. In addition, novel design of diffused QWs structures to maintain stable single-mode operation in semiconductor lasers is proposed. Finally, brief discussion and conclusion are given.
Importance of Abscisic Acid (ABA) in the In Vitro Conservation of Cassava (Manihot esculenta Crantz)

The conventional technology for in vitro plant conservation for cassava (Manihot esculenta Crantz) germplasm collections is laborious due to the need for several subculturing procedures per year. This practice implies high costs for medium preparation, tissue culture tubes, timeconsuming labor, risks of contamination, mislabeling of accession, and the need for large growth chambers. We have developed a new procedure using in vitro cultivated nodal axillary buds treated with different abscisic acid (ABA) concentrations to reduce the time for recycling transplants cultivated in a SP basic nutritive medium. Nodal explants were stored for three months with ABA. Plants were obtained after nodal axillary buds were placed in SP medium without ABA. Results indicated that 20 and 30 iM ABA induced bud dormancy and delayed sprouting without affecting subsequent growth of plants after treatment.
F Fermi National Accelerator Laboratory FERMILAB-Conf-97 / 183 Magnetic Design of a High Gradient Quadrupole for the LHC Low-Insertions

Fermilab, Lawrence Berkeley National Laboratory and Brookhaven National Laboratory have formed a consortium to provide components for the Large Hadron Collider (LHC) to be built at CERN. The U.S. contribution includes half of the high gradient quadrupoles (HGQ) for the inner focusing triplets. In this paper a description of the HGQ magnetic design is given, including short sample limit for field gradient, sources and expected values of systematic and random field errors, and possible strategies for field quality correction.
Polycrystalline CuIn3Se5 thin film photoabsorber deposited by the pulsed laser deposition technique

Polycrystalline CuIn3Se5 photoabsorber thin films were deposited onto glass/ITO substrates by using the pulsed laser deposition (PLD) technique. Stoichiometric CuIn3Se5 samples for PLD targets were synthesized in evacuated quartz ampoules by the vacuum melting of pure elements. The synthesized samples and deposited films were tested by using XRD analysis. The conditions of the PLD process were developed for the preparation of polycrystalline CuIn3Se5 thin films of the same composition as a source target and with the thickness in the range 300–450 nm. The influence of thermal annealing on photovoltaic properties and morphology of as-deposited CuIn3Se5 layers was investigated.
Distribution of natal dispersal distances and the genetic structure of Spruce Grouse (Falcipennis canadensis) populations

Natal dispersal distances are difficult to measure, yet important for estimating the genetic structure and demographic connectedness of natural populations. Here we provide estimates of the distributions of male and female natal dispersal distances from a long-term study of Spruce Grouse (Falcipennis canadensis (L., 1758)) in southwestern Alberta, Canada, based on individuals marked as brood chicks and re-observed as adults during subsequent breeding seasons. The mean distance dispersed by females (2.33 km) was twice that of males (1.13 km), and both dispersal distributions were leptokurtic. Given estimates of population density and survivorship, we estimated the genetic effective neighborhood size of this population as approximately 541 individuals. We computed equivalent estimates for two additional long-term studies of this species, based on data available in the literature; mean natal dispersal distances, averaged across sexes, ranged from 1.73 to 2.73 km for the three populations; effective deme size.
Do Earnings Management and Audit Quality Influence Over-Investment by Chinese Companies?

This paper examines how earnings quality affects the investment decisions of Chinese companies who employ non-Big 4 auditors. We measure earnings quality through the companies’ use of discretionary accruals to manage earnings, and by the quality of the companies’ auditors. We then seek to determine whether the quality of the earnings and the quality of the audit relate to overconfidence in internal decision making and lead to excess investment. We use two models for our study, adapted from the model used by McNichols and Stubben (2008). The first model measures the impact of earnings management on investment. Our second model employs a logistic regression model to measure the significant variables in companies that over-invest. We find that more important clients have significantly higher investment than less important clients, and that discretionary accruals are significant indicators of over-investment. Less important clients are more conservative in their investments, although they have more investment opportunities. We also observe that the proportion of over-investment drops for clients, regardless of their importance, whose auditors have a long tenure.