Miracle-dz/UniFAR-FTUs huggingface dataset:
3 D Anisotropic Model for the Numerical Computation of Nonlinear Magnetostriction

In this work we present a simulation approach to compute the vibration behavior of transformer cores due to magnetostriction. Thereby, the magnetic and mechanical material properties of electrical sheets are characterized by a built up measurement setup, including the hysteretic as well as anisotropic material behavior. These results are used within the numerical computation, which is done by applying the Finite Element Method (FEM), while the hysteresis behavior is simplified to a nonlinear one. Finally, the numerical computation is demonstrated with a simplified model of a transformer core joint region, which also shows the importance to properly incorporate the nonlinear as well as anisotropic material behavior.
PRELIMINARY FINDINGS FROM A MULTI-ROBOT SYSTEM FOR LARGE-SCALE EXTRA-PLANETARY ADDITIVE CONSTRUCTION

We present our findings from a 4-day workshop at SmartGeometry2016, during which the authors conducted an open-ended experiment to ascertain the viability of a multi-robotic system capable of large-scale additive construction with sand. The study and results pertain to future robotic systems operating in extreme environments, such as in lunar or Martian conditions, where there is a need for autonomous construction of regolith structures for infrastructure or human habitat protection. The purposes of this study were to: i) implement and document the practical knowledge of multior swarm-robot systems in physically realistic environments; ii) ascertain the feasibility of additive construction with many-simple rather than few-complex robots; and iii) explore individual behavioural rules for the robots which, although indirectly controlled themselves, can result in a controlled outcome. Behaviour is understood as the interactions between an individual and its environment where the behaviour of the individual affects its own perceptions, and thus its future actions and perceptions. Applying this concept to robots results in a field of autonomous behavioural machines capable of operating in partially unknown and changing environments without human intervention. In the paper we describe the design and mechanical operation of the multi-robot system, the local positioning and communication system, ending with a discussion of the programmed behaviours and the final workshop outcomes. The results of this workshop will be used to inform the next stage of the technology demonstration in which the process will be scaled up.
A Comparative Analysis of Diesel Engine Fuelled with Diesel Fuel and Methyl Ester of Waste Cooking Oil

An experimental work has been investigated on a constant speed diesel engine using methyl ester waste cooking oil (MEWCO) and diesel. The biodiesel was prepared by transesterification process and mixed with original diesel with 10%, 20%, and 100% of MEWCO on volume basis. The impact of the blending ratio on performance, pollutant emissions as well as combustion parameters, were examined at variable load conditions. The results reported significant reduction in nitrogen oxides (NOx) and raising carbon emissions as well in all tested blend of MEWCO. 20% MEWCO is the recommended mixing percentage and above this ratio, noticeable reduction in the outcome of the performance has been observed.
Coordination failure cycle

This paper proposes a theory of endogenous fluctuations, grounded on a repeated game with strategic complementarity under incomplete information. The equilibrium is characterized by a persistent regime of high activity, where aggregate output tends to expand, followed by a persistent contractionary phase in a recurring cycle. The regime persistence is driven by belief hysteresis, where learning in active regime fuels optimism, propelling an expansion. After an inevitable regime switch, rational persistent pessimism ensues, leading to a prolonged contraction. The equilibrium cycle is unique, stochastic, and converges to a stationary distribution, which characterizes the nature of fluctuations in equilibrium.
Modification of the Palmer Drought Severity Index for Mediterranean environments: Model and application

This article describes a modification of the Palmer Drought Severity Index (PDSI) as adapted to Mediterranean conditions, resulting in a new index, the MedPDSI. It differs from the original PDSI because the olives crop, a typical Mediterranean perennial resistant to water stress, is assumed as drought reference crop aiming at the application of the soil water balance. The adopted approach modifies the soil water balance computation, with the actual evapotranspiration computed with the FAO-PM reference ETo and a crop coefficient obtained from the FAO dual Kc approach, Kc = Kcb +Ke. The basal crop coefficient Kcb refers to transpiration and is parameterized at the month scale for a typical rainfed olives grove. The soil evaporation coefficient Ke is estimated every month as a function of soil evaporation, thus depending on monthly precipitation, evaporative atmospheric demand and the soil evaporation characteristics following FAO56. The basic computations of PDSI are kept and self-calibration is adopted. MedPDSI was tested for various soil types and locations across Portugal. Comparing results of the water balance with MedPDSI and PDSI, it is apparent a larger actual ET during the rainy months and smaller in the dry months with MedPDSI; coherently, runoff and percolation decrease. It results, however, relatively similar identification of drought and wetness periods, with the MedPDSI responding quicker to changes in precipitation.
Preclinical Evaluation to Specifically Target Ovarian Cancer with Folic Acid-Conjugated Nanoceria

Abstract : Despite the fact that there have been significant developments in anti-cancer technology, ovarian cancer still remains one of the leading causes of gynecological cancer deaths in the United States. To contribute towards novel approaches with minimal toxicity in treatment of ovarian cancer we proposed the present work, where we are integrating the field of nanotechnology with ovarian cancer cell s unique property of overexpressing folic acid receptor alpha (FR-a) to specifically target ovarian cancer. A cerium oxide nanoparticle, called Nanoceria (NCe), that has the ability to act as an anti-oxidant in similar capacity as biological anti-oxidants was selected. NCe in our hands exhibited efficacy in inhibiting ovarian tumor growth in vivo. Taking advantage of the nanotechnology, NCe was conjugated with molecules of folic acid to specifically target ovarian tumors as they are known to over-express folate receptor. This would result in specific killing of ovarian cells by NCe while minimizing toxicity to normal tissue. Dr Seal s laboratory (UCF) was able to successfully conjugate NCe to folic acid to prepare folic acid tagged Nanoceria called FA-NCe. FA-NCe was tested in vitro and was observed to have higher anti-growth activity against ovarian cancer cells. When given in animals, FA-NCe was more potent in inhibiting ovarian tumor growth than NCe alone and enhanced the cytotoxicity of cisplatin in vivo.
Intelligent modelling and active vibration control of flexible manipulator system

Unwanted vibration of flexible manipulator results in unsatisfactory performance of any dynamic system using the flexile manipulator. This paper presents a robust control strategy in order to suppress undesirable vibration due to flexible manipulator maneuver. First, the appropriate model of the flexible manipulator is extracted by applying the control-model identification technique for linear and nonlinear model, namely, autoregressive with exogenous input (ARX) model and nonlinear ARX (NARX) respectively. The linear model is estimated by recursive least square method (RLS) and nonlinear model identified by artificial neural network (NN). Finally, the PID controller is designed for each proposed model to cancel the vibration of the flexible manipulator. The robustness of the controller is evaluated by imposing new disturbances into the linear and nonlinear systems. System identification and controller design is conducted by numerical and simulation approaches. The results from simulation indicate that performance of PID controller using linear model is satisfactory compared to nonlinear model.
Constant Power Model in Arm Rotation A New Approach to Hill s Equation

The purpose of this study was to further develop the constant power model of a previous study and to provide the final solution of Hill’s force-velocity equation. Forearm and whole arm rotations of three different subjects were performed downwards (elbow and shoulder extension) and upwards (elbow and shoulder flexion) with maximum velocity. These arm rotations were recorded with a special camera system and the theoretically derived model of constant maximum power was fitted to the experimentally measured data. The moment of inertia of the arm sectors was calculated using immersion technique for determining accurate values of friction coefficients of elbow and whole arm rotations. The experiments of the present study verified the conclusions of a previous study in which theoretically derived equation with constant maximum power was in agreement with experimentally measured results. The results of the present study were compared with the mechanics of Hill’s model and a further development of Hill’s force-velocity relationship was derived: Hill’s model was transformed into a constant maximum power model consisting of three different components of power. It was concluded that there are three different states of motion: 1) the state of low speed, maximal acceleration without external load which applies to the hypothesis of constant moment; 2) the state of high speed, maximal power without external load which applies to the hypothesis of constant power and 3) the state of maximal power with external load which applies to Hill’s equation. This is a new approach to Hill’s equation.
PLS‐ROG: Partial least squares with rank order of groups

Partial least squares (PLS) have been used widely in metabolomics. Partial least squares can distinguish between groups but do not always reflect rank order of groups (eg, severity of diseases). We extended PLS by adding a differential penalty between mean of groups in PLS subspace. We named this method partial least squares with rank order of groups (PLS‐ROG). The PLS‐ROG can distinguish between groups and also can reflect rank order of groups. The selection of metabolites associated with a biological phenotype is highly important in metabolomics. The PLS‐ROG scores are represented as linear combinations of weight and the level of each metabolite. The weight is proportional to the correlation coefficient between the score of the response variable and the metabolite level when each metabolite level is scaled to unit variance. Using this feature, we selected significantly correlated metabolites based on the scores by applying statistical hypothesis testing of factor loading in PLS‐ROG. To demonstrate the practical application of PLS‐ROG for metabolomic data analysis, we applied PLS‐ROG 2 case studies. The PLS‐ROG scores tended to be associated with the biological phenotype that we focused attention on. Metabolites correlated with PLS‐ROG scores were selected, and some of these metabolites were consistent with the metabolites reported in the previously published studies from which we sourced the metabolome data. The results suggest that PLS‐ROG and its statistical hypothesis testing of factor loading can be useful to interpret metabolome data with rank order of groups.
Numerical analysis of real open cycle gas turbine

The paper presents a thermodynamic analysis of gas turbine with real open cycle. Gas turbine operates in combined heat and power (CHP) system. Analysis is provided by using measured operating parameters of operating mediums (air and combustion gases) in all required operating points. Cumulative real turbine developed power amounts 78611.63 kW. In the whole gas turbine process, the highest losses occur in combustion chambers during the heat supply process and amounts 13689.24 kW. Turbine power losses are equal to 7976.22 kW, while the turbo-compressor power losses amounts 4774.24 kW. While taking into account all analyzed gas turbine components, the highest efficiency of 90.79% has turbine, followed by combustion chambers which efficiency is equal to 89.01%. Turbo-compressor efficiency amounts 88.59% and the whole gas turbine cycle has efficiency equal to 33.15%.
Finding a Concept That Integrates Specialists' Know-How: The Case of Special School for Handicapped and Neurologically Ill Children

In science and professional activity, we see repeated ly situations in which responding to demanding chal lenges and opening new avenues of development call for keen collaboration between representatives of different professions. This kind of collaboration is, however, diffi cult in practice. For specialists working in their own conceptual worlds it can be difficult even to recognise the need for or potential of collaboration. Even when the need for collaboration is obvious, differences in per spectives, concepts and tools still hamper its realisation. Crossing disciplinary and professional boundaries has therefore become both a practical challenge in many areas of activity and an important research problem [20; 13; 4; 23; 21]. Needs and options for integrating knowledge from different specialities vary from situation to situation. In some areas of activity there are well established views of the needed kinds of expertise as well as established tools and routines for coordinating specialists' contributions. Know how integration becomes a problem when the established coordination routines become for some rea son ineffective, when new kinds of challenges are met or when a new idea emerges that opens new visions for the future, but can only be realised by combining knowledge and skills from many areas of expertise. Supporting the development of handicapped chil dren is an activity in which the integration of know ledge and know how from diverse areas is important. In Finland state educational establishments for special education provide handicapped and neurologically ill children the care, basic education and various kinds of therapies they need. The development of methods of care and rehabilitation in these educational establish ments has enabled handicapped children to become independent members of the society. At the same time, the number of various specialists working with the chil dren has increased and it has become increasingly diffi cult to coordinate their activities. Many proposals have been presented in the litera ture of how to support the integration of specialised knowledge. The concept of the object of activity devel oped in the tradition of cultural historical activity theo ry can help to clarify the problem [19; 25; 12]. In this article, we will first discuss attempts to explain and solve the problem of knowledge integration. We will then propose how the problem could be analysed using the concept of the object of activity. We will then pro ceed to describe how this concept was used in a devel opmental intervention in which the personnel of a spe СПЕЦИАЛЬНАЯ ПСИХОЛОГИЯ
Does self-prioritization affect perceptual processes?

ABSTRACT The tendency to prioritize information related to the self (or socially salient information) has been established for several cognitive tasks. However, earlier studies on this question suffered from confounds such as familiarity and intimacy. Recently, a series of studies overcame this limitation using newly learnt associations between geometric shapes and identities. Results from these studies have been argued to show that self-prioritization affects perceptual processing. In two studies, we replicated and extended the original shape-identity association paradigm to test an alternative hypothesis that self-prioritization does not affect perceptual processes but arises from potential memory differences introduced during the formation of associations. We found that induced memory differences lead to response patterns similar to those that have been attributed to changes in the perceptual domain. However, even extended learning undertaken to equate memory for various identity-based associations did not eliminate the effects of self-prioritization, leaving the question open if the differences are cognitive or perceptual in nature. The current evidence can be explained both in terms of memory differences and perceptual effects. Hence, we strongly recommend that the existence of perceptual effects of self-prioritization should be investigated directly rather than through changes in reaction times in match–non-match tasks.
Visualization tools in the seqHMM package

Visualization is a powerful tool throughout the analysis process from the first glimpses into the data to exploration and finally to presentation of the results. This vignette is supplementary material to the paper Helske and Helske (2019) on the seqHMM package; here we discuss visualization of sequence data and hidden Markov models in more detail and give a more examples on the plotting features of the package.
Determinants of Economic Growth in Emerging Countries Under Structural Breaks Consideration

This paper examines the cointegration relationships between economic growth, financial development and trade openness in emerging markets in the presence of structural breaks. The empirical analysis includes 21 emerging countries for 1995-2013, on a quarterly basis. The paper tests for structural changes in the deterministic components of variables in use. Recent econometric techniques are applied in this study to evaluate the presence of structural breaks in the estimated growth equation and to examine the parameters of the model. Existence of the long-run relationships between the series were examined by three alternative cointegration techniques that allow for one, two and unknown number of shifts. The empirical results of the paper indicate a stronger effect of trade openness on economic growth compared to the financial development impact when structural breaks are considered.
Construction of radioelement and dose rate baseline maps by combining ground and airborne radiometric data

For emergency situations like nuclear accidents, lost isotopic sources, debris of reactor-powered satellites etc. well-documented baseline information is indispensable. Maps of cosmic, terrestrial natural and artificial radiation can be constructed by assembling different datasets such as ground and airborne gamma spectrometry, direct dose rate measurements, and soil/rock samples. The in situ measurements were calibrated using the soil samples taken at/around the field measurement sites, the airborne measurements by a combination of in situ, and soil/rock sample data. The radioelement concentrations (Bq/kg) were in turn converted to dose-rate (nSv/h). First, the cosmic radiation map was constructed from a digital terrain model, averaging topographic heights within cells of 2 km x 2 km size. For the terrestrial radiation a total of 1615 ground data points were available, in addition to the airborne data. The artificial radiation map (Chernobyl and earlier fallout) has the smallest data base (184 data points from airborne and ground measurements). The dose rate map was constructed by summing up the above-mentioned contributions. It relies on a data base which corresponds to a density of about 1 point per 25 km. The cosmic radiation map shows elevated dose rates in the high parts of the Swiss Alps. The cosmic dose rate ranges from 40 to 190 nSv/h, depending on altitude. The terrestrial dose rate maps show general agreement with lithology: elevated dose rates (100 to 200 nSv/h) characterize the Central Massifs of the Alps where crystalline rocks give a maximum of 370 nSv/h, whereas the sedimentary northern Alpine Foreland (Jura, Molasse basin) shows consistently lower dose rates (40-100 nSv/h). The artificial radiation map has its maximum value in the southern part of Switzerland (90 nSv/h). The map of total dose rate exhibits values from 55 to 570 nSv/h. These values are considerably higher than reported in the Radiation Atlas ("Natural Sources of Ionising Radiation in Europe") published by the Commission of the European Communities. The most frequent radiation range in Switzerland is 85-115 nSv/h (total dose rate outdoors).
Molecular Assessment of Commercial and Laboratory Stocks of Eisenia Spp. (Oligochaeta: Lumbricidae) from South Africa

ABSTRACT DNA barcoding was used to investigate laboratory and commercial stocks of Eisenia species from four provinces of South Africa. The COI gene was partially amplified and sequenced in selected earthworms from eight local populations (focal groups) and two European laboratory stocks (non-focal groups). Only nine COI haplotypes were identified from the 224 sequences generated. One of these haplotypes was found to belong to the megascolecid Perionyx excavatus. The remaining eight haplotypes belonged to the genus Eisenia, although only a single E. fetida haplotype, represented by six specimens, was found in one of the European populations. The other seven haplotypes, all occurring in South Africa, were E. andrei. One of the commercial stocks from South Africa and a laboratory culture from Europe were mixtures of E. andrei-P. excavatus and E. andrei-E. fetida, respectively. Previous allozyme studies have helped to suggest that some of the populations included in this study may be suffering from inbreeding depression, which could result in adverse consequences for both the vermiculture industry and ecotoxicological research in South Africa.
Decompositional Rules Extraction Methods from Neural Networks

Given paper is a review on existing decompositional rules extraction methods from artificial neural networks of several types: feed-forward network, radial basis functions network, second order reccurent network, generalized relevance learning vector quantization and finally support vector machine. Descriptions of all rules extraction methods are containing details on method itself, type of rules extracted, applicable problems and some test results.
Wholesale Markets in Telecommunications

In telecommunications some operators have deployed their own networks whereas some others have not. The latter firms must purchase wholesale products from the former to be able to compete on the final market. We show that, even when network operators compete in prices and offer perfectly homogenous products on the wholesale market, that market may not be competitive. Based on our theoretical analysis, we derive some policy implications for the broadband and the mobile telephony markets.
The Role of the Teacher in Supporting Imagery in Understanding Integers

This paper presents the results of a design experiment conducted in a 7th grade mathematics classroom aimed at improving students’ understanding of integer concepts and operations. The study particularly focuses on an expert teacher’s role in helping students develop meaningful imagery which students can use as a foundation to fold back and rely on as they engage in further mathematical activities. Toulmin’s model of argumentation is used as an analytical tool to document when an image becomes taken-as-shared by the classroom community. The results suggest that the practices of the teacher played an important role in students’ development of various images in understanding and solving integer problems meaningfully as well as communicating their ideas effectively.