Miracle-dz/UniFAR-FTUs huggingface dataset:
Mathematical Modeling of Eddy-Current Loss for a New Induction Heating Device

A new induction heating device is presented in this paper. This device can convert mechanical energy into heat energy by utilizing eddy currents, which are induced by rotating permanent magnets. A mathematical model is established for estimating eddy-current loss of the device. The distribution of induced currents and the resultant magnetic field intensity are considered in the process of modeling the eddy-current loss and so is the mutual influence of the electric field between neighborhood pole projection areas. Particularly, the skin effect is considered by correcting the numerical integral domain of eddy current density, which has great effect on the calculating results. Based on specific examples, the effectiveness and correctness of proposed model are proved by finite element analysis. The results show that the mathematical model can provide important reference for design and structure optimization of the device.
Spacecraft Autonomy Needs Analysis for Planetary Exploration Missions

There is a general realization within NASA that “onboard autonomy” is needed. Exact specifications of what that means are often vague at the onset of the mission design process. Moreover, autonomy technology is generally not well understood by the spacecraft design community, which complicates matters considerably. The work described in this paper is an effort to better define the autonomy needs for future planetary exploration missions based on the current mission designs for the roadmap set of solar system exploration missions. This is part of an ongoing NASA exercise to define technology requirements in order to better establish funding priorities. Autonomy technology needs are classified as either algorithms or system software. The algorithms have heritage in AI research domains, such as planning and scheduling, monitoring & diagnosis, and machine learning. System software is intended to meet mission objectives, such as low-cost routine operations, landing and hazard avoidance, or opportunistic science data collection.
APERTURE WINDOWS IN HIGH-GRADIENT CAVITIES FOR ACCELERATING LOW-ENERGY MUONS

A high-gradient linear accelerator for accelerating lowenergy muons and pions in a strong solenoidal magnetic field has been proposed for homeland defense and industrial applications [1]. The acceleration starts immediately after collection of pions from a target in a solenoidal magnetic field and brings muons to a kinetic energy of about 200 MeV over a distance of the order of 10 m. At this energy, both ionization cooling of the muon beam and its further acceleration become feasible. A normal-conducting linac with external-solenoid focusing can provide the required large beam acceptances. The linac consists of independently fed zero-mode (TM010) RF cavities with wide beam apertures closed by thin conducting windows. The high gradients lead to significant heat deposition on the aperture windows. Here we explore options for the edge-cooled thin windows in the zero-mode cavities. Electromagnetic and thermalstress computations are complemented by thermal-test experiments to select the best solution for the aperture windows.
Multiscale Multilevel Approach to Solution of Nanotechnology Problems

The paper is devoted to a multiscale multilevel approach for the solution of nanotechnology problems on supercomputer systems. The approach uses the combination of continuum mechanics models and the Newton dynamics for individual particles. This combination includes three scale levels: macroscopic, mesoscopic and microscopic. For gas–metal technical systems the following models are used. The quasihydrodynamic system of equations is used as a mathematical model at the macrolevel for gas and solid states. The system of Newton equations is used as a mathematical model at the mesoand microlevels; it is written for nanoparticles of the medium and larger particles moving in the medium. The numerical implementation of the approach is based on the method of splitting into physical processes. The quasihydrodynamic equations are solved by the finite volume method on grids of different types. The Newton equations of motion are solved by Verlet integration in each cell of the grid independently or in groups of connected cells. In the framework of the general methodology, four classes of algorithms and methods of their parallelization are provided. The parallelization uses the principles of geometric parallelism and the efficient partitioning of the computational domain. A special dynamic algorithm is used for load balancing the solvers. The testing of the developed approach was made by the example of the nitrogen outflow from a balloon with high pressure to a vacuum chamber through a micronozzle and a microchannel. The obtained results confirm the high efficiency of the developed methodology.
SIMULATED ANNEALING SCHEME INCORPORATING MOVE DESIRABILITY TABLE FOR SOLUTION OF FACILITY LAYOUT PROBLEMS

Simulated annealing, an analogy between statistical mechanics and combinatorial optimization, has attracted considerable attention due to its potential in dealing with certain traditional optimization problems. However, it has been shown to be parameter sensitive and require more computational effort to produce high quality solutions than traditional heuristics. The present paper reports on a new approach to applying this method to a class of quadratic assignment problems, i.e., the facility layout problem. This approach combines the simulated annealing methodology with a specific layout design rule, which in the case of this study is a "Move Desirability Table". Two annealing methods are proposed based on this approach which differ only in cooling schedule. The first method produces high quality solutions, while the second method is faster with a slight degradation in the quality of solutions and therefore suitable for larger problems. Performance of the two methods was numerically t.ested on standard problems as well as two larger problems (n = 50 and n = 100; n is the number of facilities) and was compared to that of Wilhelm & Ward, Connolly and other heuristics, e.g., QAPH4, CRAFT, biased san1pling and the revised Hillier procedure. As the experimental results, it was found that except in the case of 11 = 50,100, the proposed met.hods are computationally faster than Wilhelm & Ward and that the solution qualities of the proposed methods in all the cases are superior to those of Wilhelm & ,,yard, Connolly and other heuristic procedures.
The Evaluation of Alkali Grass (Puccinellia ciliata Bor) Populations in Aydin Province of Turkey

Alkali grass grows in waterlogged, saline and alaline soils. The main problem in these soils is minerals at toxic level. The toxic ions are chloride, sodium and boron. A number of techniques have been investigated for removing toxic metals from the soil. Today, the cost-effective and environmentally technique is phytoremediation, using hyperaccumulator plants. Alkali grass (Puccinellia ciliata Bor) is suggested as a hyperaccumulator plant by the combination of more favourable characteristics with salt and waterlogging tolerance, high biomass value and convincing nutritive value for adverse environmental conditions. For this reason, we collected alkali grass and soil samples from five different locations in Aydin-Mugla highway, Turanlar and Sinirteke villages in Germencik-Aydin. In the soil analysis, we observed that K accumulation varies between root, shoot and panicle at least whereas Na and B shows more variation on whole plant portions among locations. Intense aerenchyma development on the root tips of Puccinellia plant was observed and it is determined as radial lysogenic aerenchyma formation. Average plant height and dry matter values were between 47.2-74.4 cm and 15.61-80.85 g/plant according to locations. The highest plant height value was obtained from the first location whereas the highest dry matter yield was detected in the fifth location. In conclusion, plants from fifth location can be regarded as fodder plants in these areas. Our results indicated that alkali grass can be effective for phytoextraction of sodium and boron from contaminated sites.
Workers’ Remittances, Governance Institution and Private Investment in Nigeria

Workers' remittances have been identified as an important investment driver, by easing credit availability and lowering cost of investment. However, the literature suggests that governance institutions play a crucial role in how this inflow affects investment. Nigeria has been experiencing continuous increase in workers' remittances over time while the level of investment is still low. This work sought to investigate the role of governance in the remittance-investment nexus in Nigeria . A GMM estimation technique was adopted to estimate a simplified institutional framework. The result shows that remittances performed better in influencing investment when governance institution improves. Hence, government is encouraged to improve the state of governance in Nigeria .
Optical properties of melanin in the skin and skinlike phantoms

Experimental study and computer modeling were used to investigate the optical properties of melanin in the skin and skin-like phantoms. To investigate light scattering by melanosomes in skin we made skin-like phantoms on the base of gelatin with different content of melanin particles. Spectra of total transmittance and diffuse reflectance of the phantoms were obtained in the wavelength range from 400 to 800 nm. Absorption and reduced scattering coefficients of melanin were calculated. Mie theory was used to estimate the optical properties of melanin particles. Wavelength dependence of refractive indices of eumelanin particles (isolated and purified from the ink of the cuttlefish Sepia officinalis) and synthetic melanin particles was estimated.
ANTARCTIC FISH METABOLIC RESPONSES AS POTENTIAL BIOMARKERS OF ENVIRONMENTAL IMPACT

The principal objective of this review is to discuss the energy metabolism, of L-arginine, antioxidant defense and the xenobiotics of Antarctic fishes as possible markers of environmental change. With the establishment of the circumpolar current and the physical isolation of the region, Antarctic fishes evolved under stable low temperatures. The elevated endemism, low diversity, and the probable stenthermability motivated a number of studies on Antarctic fishes. The presence of enzymes with physical and chemical properties adaptaded to low temperatures was evident in various studies and fortified the cold adaptation concept of these organisms. By ratifying the Antarctica Environmental Protection Treaty (Madrid protocol), the member countries committed themselves to monitoring the environment of the region. Though, it is one of the most pristine regions of the planet, increasing human activity in Antarctica has given rise to concerns about pollution from combustion oils, heavy metals and sewage. As the energy sustainability of the tissues requires that the velocity of the ATP generator systems should be in step with the energy demand, changes in the environment would lead to elevation in the energy demand of the organisms, which in turn demanded an adjustment of the ATP synthesis velocity. In these cases the enzymatic upregulation and downregulation have been used as biomarkers of the energy metabolism. Traditionally, the antioxidant defense enzymes and the xenobiotic metabolism of fishes have been used as biomarkers to access the natural or anthropic environmental change. However, these studies must be correlated the levels of enzymes with the principal risk factors in the environmental pollution. L-arginine metabolism enzymes have been used as biomarkers of the physiological response in mammals, but there are few studies on Antarctic fishes. The central role of the amino acid L-arginine in the synthesis of nitric oxide, polyamines and as a signal in various physiological processes has drawn the attention of scientists. The tissue distribution and the isoforms distribution, along with its control via upregulation and downregulation of the arginase enzymes, nitric oxide synthase and ornithina decarboxylase in Antarctic fishes are potential biomarkers for environmental change.
Technique to improve CMRR at high frequencies in CMOS OTA-C filters

In this paper a technique to improve the common-mode rejection ratio (CMRR) at high frequencies in the OTA-C filters is proposed. The technique is applicable to most OTA-C filters using CMOS operational transconductance amplifiers (OTA) based on differential pairs. The presented analysis shows that a significant broadening of CMRR bandwidth can be achieved by using a differential pair with the bodies of transistors connected to AC ground, instead of using a pair with the bodies connected to the sources. The key advantages of the technique are: no increase in power consumption (except for an optional tuning circuit), a small increase of a chip area, a slight modification of the original filter. The simulation results for exemplary OTAs and a low-pass filter, designed in a 0.35 µm CMOS process, show the possibility of broadening the CMRR bandwidth several times.
New determinant expressions of multi-indexed orthogonal polynomials in discrete quantum mechanics

The multi-indexed orthogonal polynomials (the Meixner, little $q$-Jacobi (Laguerre), ($q$-)Racah, Wilson, Askey-Wilson types) satisfying second order difference equations were constructed in discrete quantum mechanics. They are polynomials in the sinusoidal coordinates $\eta(x)$ ($x$ is the coordinate of quantum system) and expressed in terms of the Casorati determinants whose matrix elements are functions of $x$ at various points. By using shape invariance properties, we derive various equivalent determinant expressions, especially those whose matrix elements are functions of the same point $x$. Except for the ($q$-)Racah case, they can be expressed in terms of $\eta$ only, without explicit $x$-dependence.
Neuroscience projections to current debates in emotion psychology

Possible contributions from different branches of the neurosciences to current debates in emotion psychology are discussed. The controversial issues covered in the paper include the nature of emotion, cognitionemotion interaction, the evaluative criteria used in emotion-antecedent appraisal processes, sequential vs. parallel processing in appraisal, differential patterning of discrete emotions, and possible entry points into the emotion system. Examples for neuroscience work that may be pertinent to these issues are drawn from neural network modelling, comparative studies of brain architecture and functional pathways in animals, experimental work in cognitive psychology, and case studies of braindamaged patients in clinical neuropsychology.
Speech recognition in noisy conditions using missing feature approach

These Ecole polytechnique federale de Lausanne EPFL, n° 2303 (2000)Faculte des sciences et techniques de l'ingenieurLaboratoire de traitement des signaux 1Jury: Phil Green, Jean-Pierre Martens, Philippe Robert, Christian Wellekens Public defense: 2000-12-8 Reference doi:10.5075/epfl-thesis-2303Print copy in library catalog Record created on 2005-03-16, modified on 2016-08-08
Asthma in the Disadvantaged: A Phenotype in Need of a Personalized, Multidisciplinary Approach to Therapy

Most patients with asthma can be managed with standardized, traditional therapies; however, 5–10% of patients suffer from disease that is difficult to control. Uncontrolled asthma disproportionally affects low income and racial minority patients. The disadvan - taged asthma phenotype is defined by the presence of overlapping social, economic and environmental factors. These factors, such as environmental exposures in substandard housing or suboptimal adherence to controller therapy due to impaired health literacy are challenging to address in the clinic or inpatient setting. Personalized management of the disadvantaged asthma phenotype must target these interconnected factors through a multidisciplinary approach that includes longitudinal collaboration with community- based organizations, social workers and legal aid.
A Unified Differential Evolution Algorithm for Global Optimization

Abstract? In this paper, we propose a new unified differential evolution (uDE) algorithm for single objective global optimization. Instead of selecting among multiple mutation strategies as in the conventional differential evolution algorithm, this algorithm employs a single equation as the mutation strategy. It has the virtue of mathematical simplicity and also provides users the flexbility for broader exploration of different mutation strategies. Numerical tests using twelve basic unimodal and multimodal functions show promising performance of the proposed algorithm in comparison to convential differential evolution algorithms.
Pay-risk Sensitivity and Bank Performance

This study investigates the mediation effect of the pay-risk sensitivity of CEOs on the relation between risky investment and bank performance over the sample period of 2000 to 2007. The empirical results of the study show that CEOs of BHCs engage in more private MBSs will increase their pay-risk sensitivity incentives, and then induces the relation between risky investment and bank performance to become negative. These results imply that the pay-risk sensitivity incentives indirectly induce manager to increase his own benefits at the expense of shareholders. Furthermore, we classify CEOs of BHCs as three levels of overconfidence, and find that the pay-risk sensitivity incentive has a mediation effect on the relation between private MBSs and firm performance in excessively overconfident CEOs group, implying that the levels of CEOs confidence should be considered while compensation committee designs a flawless contract for encouraging managers put shareholders' best interests in front of theirs.
The Effect of Scientific Inquiry Learning Model Using Macromedia Flash on Student’s Concept Understanding and Science Process Skills in Senior High School

This study aimed to analyze the effect of scientific inquiry learning model using macromedia flash on understanding the concept and science process skills of high school students. This research is a quasi experimental research with two group pretest posttest design. The population of this research is all students of class X Senior High School Advent Air Bersih Medan. Selection of sample is done by cluster random sampling that is X-1 as experiment class applied scientific learning model inquiry using macromedia flash and X-3 as control class applied conventional learning. Instrument used in this research is instrument of concept comprehension in essay form as much as seven problem and instrument of science process skils in form of student worksheet which have been declared valid by expert team. From the results of the study concluded that the understanding of the concept of students applying scientific inquiry learning model using macromedia flash better than the students 'concept understanding with conventional learning and science process skills students who apply scientific inquiry learning model using macromedia flash better than students' science process skills with conventional learning .
Solar Wind Sails

Magnetic sail (MagSail) is a unique but never-realized interplanetary propulsion system. The original idea of MagSail proposed by Zubrin is depicted in Fig.1 (Andrews & Zubrin, 1990). A MagSail spacecraft has a hoop coil, and it produces an artificial magnetic field to reflect the solar wind particles approaching the coil, and the corresponding repulsive force exerts on the coil to accelerate the spacecraft in the solar wind direction. MagSail and its derivatives are usually called as solar wind sail in contrast to solar light sail, which is propelled by the solar light pressure. Before realizing the ideas of solar wind sail, however, fundamental studies are required from both physical and engineering points of view, in particular, experimental validation of these ideas are very important before applying these concepts to realistic spacecraft design.
REVIEW OF COMPUTER-AIDED LEARNING SYSTEMS

BACKGROUND This work presents the review of computer-aided learning systems. These systems have been specially designed to assist best meet necessities and requirements that arise when learning is happening outside of a standard classroom setting. Computer-Aided Learning (CAL) systems provide support to the learners in the process of teaching and learning. Here, the use of learning systems in the field of distance learning has been presented. This work covers the work done earlier in the field and related problems and limitations.
Neutral genetic diversity preservation in a first-generation breeding population of Guinea pig

To increase availability of animal proteins in Democratic Republic of the Congo (DRC), Cavia porcellus was recently enrolled in a breeding program that includes base populations from DRC and Belgium. To preserve whole or part of the source's genetic diversity over breeding cycles, cognizance of genetic diversity in natural populations is required. We tested the cross-amplification of eleven pairs of microsatellite primers that were isolated from Cavia aperea and C. magnea. Amplification tests by polymerase chain reaction were performed on total DNA of 30 C. porcellus using 11 microsatellite loci. All the microsatellites amplified at the expected size and were polymorphic for C. porcellus. Using these microsatellite loci, we assessed the genetic diversity of base populations and of firstgeneration breeding population. High levels of genetic diversity were found within the base populations. These populations exhibited fixation indices significantly greater than 0, indicating occurrence of inbreeding. Moderate differentiation (RST = 0.123) was observed among the base populations. The first-generation breeding population displayed a significantly lower fixation index (0.083) and a higher genetic diversity (A = 5.73; HO = 0.571; HE = 0.663) than the base populations. Appropriate breeding strategies that would limit inbreeding over breeding cycles are discussed.
Food and feeding habits of commercially important demersal finfishes off Veraval coast

Stomach contents of nine species of commercially important demersal finfishes off Veraval coast were examined. Fish samples were collected periodically from the commercial trawlers of Veraval from January 2009 to October 2010. The dietary components of each species was studied and expressed as percentage of numerical composition (CN), percentage of gravimetric composition (CW) and percentage of frequency of occurrence (F). The major food items in the stomachs of each species were determined using an Index of Relative Importance (IRI). The gut contents of the fish varied in number, weight, and their frequency of occurrence with species to species. The study showed that prey items that were smaller in size constituted the major bulk, while the large size prey items were in fewer numbers. Based on cluster analysis (Bray-Curtis similarity) of predator (fish) feeding similarities , six sub-groups and the following three major groups were identified: group I (detritus feeders) comprised Pampus argenteus and Arius thalassinus; group II, (pisces feeders), was the largest group identified and included Saurida tumbil, Saurida undosquamis, Otolithes cuvieri and Johnius glaucus; group III,(shrimp feeders), consisted of Priacanthus hamrur, Nemipterus japonicus and Nemipterus mesoprion. Acetes spp. , prawns and juvenile finfishes were the most important food items consumed by majority of the species. The values of the feeding index did not show any significant variation in different months during the two years of observation. However, the feeding intensity was slightly higher during the period of September to December. The results of the present investigation could provide valuable information in formulating strategies for management of fishery resources in the region.