Miracle-dz/UniFAR-FTUs huggingface dataset:
A Space-Vector Modulation Scheme for a Dual Two-Level Inverter Fed Open-End Winding Induction Motor Drive for the Elimination of Zero-Sequence Currents

Abstract The dual two-level inverter fed open-end winding induction motor drive gives voltage space phasor locations similar to a three-level inverter fed induction motor drive. The dual inverter scheme renders advantages such as redundancy of the space vector combinations for the same number of space vector locations and the absence of neutral point fluctuations. In a dual-inverter scheme, a total of 64 space-vector combinations are distributed over 19 space vector locations compared to 27 space-vector combinations distributed over the same number of locations in a three-level inverter. The common mode voltages (the harmonics of the triplen order) need to be suppressed by transformer isolation or the use of harmonic filters. In this paper, a space vector modulation scheme for the suppression of zero sequence currents (the harmonics of the triplen order) for a dual two-level inverter fed open-end winding induction motor drive is described. The proposed scheme does not require bulky transformers or harmonic filters for the elimination of the zero sequence currents. The proposed space vector PWM is based on the observation that certain voltage space-vector combinations in the dual inverter scheme do not contribute to the triplen harmonics and hence the PWM scheme that exclusively employs these combinations is used to eliminate the triplen harmonic currents.
Some recent results on the spectrum of multi-point eigenvalue problems for the p-Laplacian

In this paper we describe some recent results regarding the spectral properties of p-Laplacian problems subject to various forms of multi-point boundary conditions. In particular, we consider Dirichlet and Neumann-type boundary conditions, and mixtures of these conditions. We also consider certain types of nonlocal boundary conditions expressed in terms of Stieltjes inte- grals, which have been discussed recently and which generalize the previously considered multi-point conditions. It is shown that, under suitable assumptions, the structure of the spectrum and the properties of the eigenfunctions for these boundary value problems with nonlocal boundary conditions are very similar to those of the classical linear Sturm-Liouville problem with separated boundary conditions. Results on global bifurcation, non-resonance conditions and existence of nodal solutions for related nonlinear problems are also presented. In a final section we discuss the necessity of some of the hypotheses we impose, and outline
Minimum temporal thresholds for discriminating changes in motion direction

Minimum temporal thresholds(Tmin)for discriminating motion direction were measured in various conditions. The results of Experiment 1 showed that Tmin for the change from a stationary pattern to a moving pattern was shorter than that for the abrupt appearance of a moving pattern. The time needed to process the pattern explained this difference. The results of Experiment 2 showed that Tmin for the change from a stationary pattern to a moving pattern was shorter than that for the directional change of a moving pattern. Furthermore,Tmin for discriminating a directional change with a 90 deg difference was shorter than that of 45 and 135 deg. In addition,an anisotropy in discriminating motion direction was observed between oblique-upward and oblique-downward directions. The validity of mathematical models that explain these results was discussed. (Received on October 15,2015)
Client’s immersed and distanced speech and therapist’s interventions in emotion-focused therapy for depression: an intensive analysis of a case study

Previous laboratory studies have explored the importance of participants adopting an immersed or distanced perspective in the analysis of their experiences. These studies concluded that distancing allows analyzing emotions in a healthier way and immersion leads to higher vulnerability. However, in psychotherapy, the relationship between these perspectives and clinical change has been less investigated. The present study aims to contribute to understanding how these variables evolve during psychotherapy and also to explore the therapistâ€™s contributions to this process. This study analyzes a good-outcome case of emotion-focused therapy for depression through two observational measures of psychotherapy process: the measure of immersed and distanced speech â€“ which identifies clientâ€™s adoption of an immersed or distanced stance when talking about their problems â€“ and the helping skills system â€“ which identifies therapistâ€™s interventions focused on exploration, insight or action. Results showed a decrease of immersed speech and an increase of distanced speech along the process, with a higher frequency of exploration skills preceding both types of clientâ€™s speech. Finally, the evolution of therapistâ€™s and clientâ€™s speech showed a reasonable flexibility of therapeutic dialogue throughout the sessions, in particular due to the evolution of client variables (evidencing a higher diversity of behaviors).
Introduction to Qualitative Research for Novice Investigators

Qualitative research has been used for centuries in the realm of social sciences to examine the experiences, perspectives, and perceptions of people. In in the last century, however, qualitative research emerged as a reputable paradigm of research inquiry in the health sciences discipline. Qualitative research may be considered a research approach complementary to quantitative research, which is most commonly utilized in medical disciplines through the scholarly pursuit of randomised controlled trials and meta analyses of treatment effectiveness. Qualitative research aims to elaborate, explain, and describe social phenomena such as the relationship between patients and healthcare providers, how medical interventions may affect long-term care and quality of life, and how to contextualize the findings of randomized controlled trials to the complex lives of patients by considering the multitude of factors that influence treatment effectiveness. Qualitative research seeks to answer the “why” and “how” of phenomena as opposed to the “what” and “how much. ” The majority of novice investigators will use the quantitative research paradigm for an independent study course or their thesis dissertation. When these investigators encounter the qualitative research paradigm, they are struck with the lack of simple and useful resources available that identify, clarify, and explicate the qualitative research process. This article aims to serve as an introductory guide for novice investigators who wish to immerse in the qualitative research tradition. The authors introduce the purpose, components, and process of qualitative research including common methodologies, data collection methods, sampling strategies, and data analysis approaches.
Self-organizing fuzzy learning CLOS guidance law design

A new self-organizing fuzzy logic control (SOFLC) design method is proposed. The proposed method is applied to the command line-of-sight (CLOS) guidance law design. The SOFLC contains two sets of fuzzy inference logic. One is the fuzzy logic controller and the other is the rule modifier. The new learning method of the rule modifier is developed based on a fuzzy learning algorithm. The modification value of each rule is based on the fuzzy firing weight, so that learning of the rule bases is reasonable. Finally, two engagement scenarios are examined, and a comparison between a fuzzy logic control (FLC), an optimal learning FLC, and the proposed SOFLC CLOS guidance laws is made. Simulation results show that the proposed SOFLC guidance law can achieve better guidance performance than the other guidance laws.
Impact of Financial Development on CO2 Emissions: Panel Data Evidence from Iran’s Economic Sectors

Original Article Received: 14 Marc 2018 Accepted: 6 May 2018 Introduction: The national trend indicates that various provinces of Iran have experienced attaining economic growth exclusive of parallel observing a boost in CO2 emissions. It is clear that the effects of CO2 emissions on health indicators such as death rate, infant mortality, and health expenditures have been ignored by policy makers over the past decades. Methods: This study utilizes 1989-2016 panel data of the three economic sectors (agriculture, industry and services) of Iran to examine the effect of financial development on CO2 emissions using Pooled Mean Group (PMG) and Mean Group (MG) Regression techniques for the first time in previous literature in Iran. The potential impact of government size and capital stock on CO2 emissions is also analysed. Results: According to empirical results, in the long-run, government size and capital stock increase CO2 emissions, while financial development compact it. However, the results show these variables don’t have statistically significant effect on CO2 emissions in short-run. Conclusion: The study opens up new policy insights to control the environment from degradation by financial development on economic sectors. It recommends that policy makers should realize the potentiality of the financial development in minimizing the CO2 emissions. Therefore, the policy makers need to facilitate more financing at lower costs for investment in environmental projects.
The Distribution of Aranciocystis muskarensis ( Neogregarinida : Ophryocystidae ) in Populations of Anisoplia segetum Herbst ( Coleoptera : Scarabaeidae ) in Turkey and Its Relationship with Climatic Factors

This study was conducted for determining the relation between climatic factors and Aranciocystis muskarensis (Neogregarinida: Ophryocystidae) infection in Anisoplia segetum (Herbst) (Coleoptera: Scarabaeidae). The samples were collected from April to July in different provinces of Turkey and 3780 A. segetum beetles were dissected and examined with the light microscope in 2016. Infection was detected only in Nevşehir, Konya, Aksaray and Osmaniye provinces. The highest infection rate was seen in Nevşehir with 18.53%. The correlation coefficient data indicated that the positive correlation was observed between humidity and A. muskarensis infection (r = 0.618, P<0.05). Multiple regressions analysis revealed that A. muskarensis infection formation in A. segetum was determined in 90.8% rate by climatic factors and the other variables (R Square = 0.908) and the most influential factor on infection was humidity (t=2.386).
A stochastic framework for gas retailer based on temperature and oil prices evolution

We consider a new two–stage stochastic optimization model, named OMoGaS–2SV (Optimization Modelling for Gas Seller-Second Stochastic version), to assist companies dealing with gas retail commercialization. Due to nonlinearities present in the objective function, the model can be classified as an NLP mixed integer model, with the profit function depending on the number of contracts with the final consumers, the typology of such consumers and the cost supported to meet the final demand. Constraints related to a maximum daily gas consumption, to yearly maximum and minimum consumption in order to avoid penalties are included. Consumers consumption profiles are also considered. Temperature influences gas consumption of small consumers and is modelled by a mean reverting process. Oil prices influence the energetic indices to which sell and purchase prices are related. Forward curves of energetic indices have been analyzed by econometric models while exchange rates are modelled by a GARCH model. The results obtained by the stochastic version give clear indication of the amount of losses that may appear in the gas seller’s budget.
Physiological controls on seawater uptake and calcification in the benthic foraminifer Ammonia tepida

Abstract. To analyze the relation between seawater uptake and calcification, we incubated juveniles of the benthic foraminifer Ammonia tepida with various fluorescent probes and visualised them afterwards with confocal laser scanning microscopy. Vesicle membranes, Ca ions and vacuole fluids were followed with various tracers and showed for the first time that endocytosis of seawater is part of the calcification process in Ammonia tepida. Data on the intracellular Ca ion cycling allowed for calculating a preliminary cellular Ca budget during foraminiferal calcification. This showed that the free calcium involved in the production of a new chamber cannot be sufficient and suggests that foraminifera may precipitate their calcite from an amorphous precursor.
MODEL BASED UNCERTAINTY ANALYSIS IN INTER- LABORATORY COMPARISONS

Statistical analysis of inter-laboratory comparisons (e.g. Key Comparisons, Supplemental Comparisons) is required to produce an estimate of the measurand called a reference value and further, measures of equivalence of the participating laboratories. Methods of estimation of the reference value have been proposed that rest on the idea of finding a socalled consistent subset of laboratories, that is, eliminating outlying participants. In this paper we propose an alternative statistical model, one that accommodates all of the participants’ data and incorporates the dispersion among the laboratories into the total uncertainty of the various estimates. This model recognizes the fact that the dispersion of values between laboratories often is substantially larger than the measurement uncertainties provided by the participating laboratories. We illustrate the method on data from key comparison CCL-K1.
Estimation of land loss in the Czech Republic in the near future

Janků J., Jakšík O. , Kozák J., Marhoul A.M. (2016): Estimation of land loss in the Czech Republic in the near future. Soil & Water Res., 11: 155−162. The study presents an estimate of how many hectares of soil will be removed from the farmland fund in the coming years around the biggest towns for non-agricultural use, such as for residential purposes and industrial zones. To estimate suburban area spreading, so called “buffers”, i.e. packing zones around towns, were established. For the capital city of Prague the buffer width was set at 3 km, for regional towns at 2 km, and for district towns at 1 km. In this area, as well as on the territory (intravilan) of towns, the estimate of the future acreage removal of farmland for building purposes was calculated. The study also quantifies the changes in acreage of different soil types. The results show a significant decrease in acreage of the best quality soils, primarily because the largest towns are usually built on the best soils, and these towns are spreading much more than small towns. The results were statistically processed for (a) total, (b) each regional town, (c) each district town, and (d) total always separately for urban areas, for suburban areas (buffer zones), and for their combinations. Cambisols represent the soil group with the largest loss of land, followed by Luvisols and Chernosols.
Practices Of Cooperation In The Justice System

Abstract In this paper, a framework providing a typology of interaction modes for public managers is used to investigate how a change in the law affects the interaction between Finnish investigation and prosecution authorities, with the assumption that the level and quality of interaction affects the flow through the whole judicial service supply chain. By analyzing interview data and legal documents, practices in the case studied were matched with elements in the framework, and potential success factors were identified. Future research opportunities are suggested; one being the need to further explore differences between districts and their effects on the case flow.
Determinants of University Spin-Offsâ€™ Growth: Do Socioeconomic Networks and Support Matter?

University spin-offs (USOs), as a type of entrepreneurial firms, face the challenge of obtaining sufficient resources to realize perceived business opportunities. USOs are vulnerable to many obstacles in this endeavor, particularly obstacles related to a lack of entrepreneurial knowledge (skills). Support such as office facilities, loan, and business coaching provided by incubator organizations, may help USOs to overcome obstacles. On the other hand, USOs may also overcome the lack of resources by participating in networks of supportive relationships. Social networking by USOs, including its spatial dimension, is not well understood. For instance, it is still not known how universities as a main source of knowledge contribute to the knowledge needs of nearby USOs; similarly, the spatial layout of knowledge relations of USOs has remained virtually unknown. This paper attempts to fill this knowledge gap. Our conceptual model of early growth of USOs, in terms of knowledge needs and fulfilment, is based on resource-based theory and social network theory. In this paper, we assume that USOsâ€™ embeddedness in a network of ties is an important source of variation in the acquisition of knowledge resources. We argue that, aside from support from incubation organizations, USOs that maintain networks rich in bridging or boundary-spanning ties with knowledge institutions/actors are better-off compared with USOs that donâ€™t employ such ties. We focus on the role of local institutions, particularly the university, as a source of knowledge. Our assumptions are tested on the basis of a sample of academic spin-offs of TU Delft, the Netherlands. The results from regression modeling are expected to support the embeddedness hypothesis and to produce new insights about the link between USOsâ€™ social networks, the acquisition of knowledge and survival and growth.
Do Superfund Sites Affect Local Property Values? Evidence from a Spatial Hedonic Approach

The presence of Superfund sites can have substantial impacts on surrounding property values. A shortcoming of studies utilizing the traditional hedonic price model is that they fail to account for the presence of spatial dependence or autocorrelation in residential housing. Jefferson County, Kentucky is home to Louisville, the largest city in the state. Seven different Superfund sites are located within or just outside the county border. Community planners, appraisal professionals, or policy makers considering the use of a traditional hedonic pricing model will find inefficient estimates compared to a spatial error hedonic model. This study also considers two different phases of the cleanup process, suggesting that median housing value is lower for houses in close proximity to deleted Superfund sites, but is not significantly affected by sites classified as final. Another consideration is the implications of multiple Superfund sites located within five miles of the block group centroid. Findings indicate that multiple Superfund sites do not significantly impact housing values.
Arctic stratospheric dehydration - Part 2: Microphysical modeling

Large areas of synoptic-scale ice PSCs (Polar Stratospheric Clouds) distinguished the Arctic winter 2009/2010 from other years and revealed unprecedented evidence of water redistribution in the stratosphere. A unique snapshot of water vapor repartitioning into ice particles was observed under extremely cold Arctic conditions with temperatures around 183 K. Balloon-borne, aircraft and satellite-based measurements suggest that synoptic-scale ice PSCs and concurrent reductions and enhancements in water vapor are tightly linked with the observed de- and rehydration signatures, respectively. In a companion paper (Part 1), water vapor and aerosol backscatter measurements from the RECONCILE (Reconciliation of essential process parameters for an enhanced predictability of Arctic stratospheric ozone loss and its climate interactions) and LAPBIAT-II (Lapland Atmosphere-Biosphere Facility) field campaigns have been analyzed in detail. This paper uses a column version of the Zurich Optical and Microphysical box Model (ZOMM) including newly developed NAT (Nitric Acid Trihydrate) and ice nucleation parameterizations. Particle sedimentation is calculated in order to simulate the vertical redistribution of chemical species such as water and nitric acid. Accounting for small-scale temperature fluctuations along the trajectory is essential to reach agreement between simulated optical cloud properties and observations. Whereas modeling only homogeneous nucleation causes the formation of ice clouds with particle radii too small to explain the measured vertical redistribution of water, we show that the use of recently developed heterogeneous ice nucleation parameterizations allows the model to quantitatively reproduce the observed signatures of de- and rehydration.
Migration of Atlantic salmon post-smolts in a fjord with high infestation pressure of salmon lice

Understanding Atlantic salmon Salmo salar post-smolt coastal migration behaviour is crucial for predicting their exposure to ecological challenges such as the parasite salmon louse Lepeophtheirus salmonis. We compared the migration of acoustically tagged, hatchery-reared Atlantic salmon post-smolts of wild and domesticated origins from the inner, middle and outer part of a 172 km long aquaculture-intensive fjord in western Norway. Additionally, we examined if the timing of the release or treatment with an anti-parasitic drug (prophylaxis) altered migratory behaviour. We found no significant differences in mean progression rates among the 3 release locations, among genetic groups or between treatments (range: 11.5−16.9 km d−1). However, individual variation in progression rates and migratory routes resulted in large differences in fjord residence times (range: 2−39 d). Ocean-current directions during and after release affected swimming speed, progression rate and route choice, and for most post-smolts, swimming speeds were much higher than their progression rates out of the fjord. The predicted lice loads based on lice intensity growth rates on smolts held in sentinel cages throughout the fjord indicated that individuals taking >10 d to exit the fjord in periods with high infestation pressure are likely to get lethally high sea-lice infestations. We conclude that, as migratory routes of S. salar post-smolts are hard to predict and migration times can stretch up to over a month, it is important to develop aquaculture management that keeps salmon lice levels down along all potential migration routes and during the full potential migratory period.
Design Analysis of Photovoltaic (Cell, Module, Array) By Using Matlab/Simulink

: This paper proposes a generalized model of the photovoltaic cell in Mat lab-Simulink. This proposed model is based on basic mathematical equation of solar photovoltaic cell. The PV modules have non-linear output characteristics. The output I-V and P-V characteristics of photovoltaic cell are depend on sunlight irradiance and cell temperature. The model can be used to extract the physical parameters for a given solar PV cell as a function of temperature and solar radiation. There are number of models available in literature using different software platforms. This simulation modal is very simple and user friendly. The simulation result under MATLAB/SIMULINK shows performance and dynamic behaviour of the given photovoltaic module. Keywords : Photovoltaic, Simulation, Monitoring, MATLAB.