Miracle-dz/UniFAR-FTUs huggingface dataset:
The analysis of the quality of the frequency control of induction motor carried out on the basis of the processes in the rotor circuit

The results of researches of asynchronous electric drives with the frequency control which are carried out for the purpose of establishment of causes and effect relationships between a control method, the implementable standard frequency converter of the Schneider Electric company (ATV-71, ATV-32) and its efficiency are given in article. Tests with asynchronous motors with wound rotor were for the first time carried out. It allowed registering during the experiments the instantaneous values not only the stator currents, but also rotor currents. Authors for the first time applied spectrum analysis of stator and rotor currents, it showed that «sensorless vector» control leads to origin of high-frequency harmonicas with the considerable amplitude and, as a result of they are non-sinusoidal of the created torque and inefficiency of the electric drive. The accelerations that are carried out during the researches to 94, 157 and 251 Rad/s confirmed this feature of vector control that appears incapable to linearize the asynchronous electric drive as it was supposed authors of a method. These results do not contradict theoretical provisions if not to neglect assumptions which usually become in case of an output of the equations of vector control. Unfortunately, the modern researchers do not subject these assumptions to doubts. Continued studies make it possible to create an effective frequency management of asynchronous electric drives required for current technology.
Corporate Marketing Strategy and Attainment of Competitive Advantage: Evidence from Nigeria Money Deposit Banks

This study investigates the effect of corporate marketing strategy in the attainment of competitive advantage in Nigeria money deposit banks. Descriptive research design was used. Purposive sampling technique was adopted to select six (6) banks out of twenty (21) deposit money banks currently in Nigeria. Similarly, ten (10) financial experts (i.e. senior and junior staff) were quotally allocated to each bank thus a total number of 60 questionnaires were administered to the targeted respondents on the ground that they are considered to be of interest to this study. Using correlation (r) inferential statistics as analytical tool, the result of the first hypothesis showed that there is a significant positive relationship between marketing strategies of Nigeria money deposit banks in attaining competitive advantage. The finding also revealed from the second hypothesis that there was statistical significant relationship between corporate marketing strategy and customers’ loyalty. Based on this finding, we recommended that financial institutions must assess the rate of success and or failure of marketing strategies to be adopted for better competitive advantage. Keywords : Corporate Marketing Strategies, Competitive Advantage, Deposit Money Banks, Banks’ Share, Customer Loyalty.
Evaluation of Bistar 80SC (Bifenthrin) as a Tent Treatment for Protection Against Mosquitoes in Northern Territory, Australia

Abstract A field trial to assess the efficacy of Bistar 80 SC as a barrier treatment of Australian military tents was conducted over 10 d at Mount Bundey Military Training Area, Northern Territory, Australia, in March 2003. Four pairs of standard eight-person tents were erected, with a single tent in each pair treated with 0.1% Bistar 80 SC as a course spray, and the remainder left as untreated control tents. Carbon dioxide-baited traps were operated in each tent nightly, and biting collections conducted over 8 nights. There was a mean increase in protection of 81% for mosquitoes entering treated tents and 90.4% increase in protection against biting of predominantly Culex annulirostris Skuse. In addition, bifenthrin applied to the military tents enhances the protection of occupants against bites from this important arbovirus vector.
Results from numerical study of the velocity field characteristics of jet flow in the work zone of small aerodynamic tunnel , by using LES method

Резултати от числено изследване на характеристиките на скоростно поле на струйно течение в работния участък на малък аеродинамичен тунел, чрез CFD метода LES: Представената публикацията е продължение на: „Изграждане на модел за числено изследване на характеристиките на скоростно поле на струйно течение в работния участък на малък аеродинамичен тунел, чрез CFD метода LES“. Тук са представени резултатите от проведеното числено изследване на разпределението на скоростното поле на струйното течение в работната зона на аеродинамичния тунел (АДТ) на Технически университет София. Както бе споменато, численото изследване се базира на методите на изчислителната динамика на флуидите (CFD), като използваният метод за решаване на системата частни диференциални уравнения на Навие Стокс е „Метода на крупните вихри“ LES (Large Eddie Simulation). При този подход, едромащабните турбулентни вихри на течението се изчисляват директно, а малките предварително филтрирани вихри се моделират чрез широко използвания модел на Смагорински. LES метода е добре приложим при моделиране на струйни течения, като предоставя значителна точност и детайлност на резултатите при сравнително ниска стойност на изчислителните итерации. Получените резултати, базирани на директно измерени начални и гранични условия, охарактеризират адекватно параметрите на струйното течение в работната област и дават възможност за разработване на виртуален модел на изследваното съоръжение.
Bayesian Network Structure Learning

Causal reasoning is a fundamental part of human intelligence and can be found across a broad range of ﬁelds, from ancient philosophy and theology to medicine and economics. Bayesian networks are probabilistic graphical models that can represent cause-effect relationships and have been used to build system models ranging from medical diagnosis to weather prediction. However, traditional approaches for building Bayesian networks oftentimes prove to be too costly, unethical or impossible. Therefore, there is a need for algorithms that can learn Bayesian networks from observational data alone, which is not trivial due to the combinatorial nature of the search space. Recently, a novel algorithm, NOTEARS , has established a new approach, reformulating this problem as continuous optimization, which allows the use of well-studied techniques of machine learning. This work presents a new meta-algorithm that combines NOTEARS with a state-of-the-art traditional algorithm, FGES , providing a greater degree of certainty when identifying and interpreting speciﬁc relationships encoded on the learned Bayesian networks, even when we do not possess expert knowledge on the ﬁeld of the observed data. We test the new meta-algorithm on well-known Bayesian networks, showing that it identiﬁes speciﬁc relationships with greater precision than the individual algorithms. We also apply it to publicly available data sets and provide a method to evaluate the obtained results when there is no ground truth. In the conducted experiments, the meta-algorithm shows competitive results with the aforementioned algorithms, consistently outperforming NOTEARS and, in certain instances, FGES .
HTR 2 C polymorphism predicts cortisol response to sychosocial stress II : Evidence from two samples

The 5-HT2C receptor is the primary serotonin receptor located in the corticotrophin releasing hormone (CRH) neurons of the hypothalamus. These neurons initiate the signaling cascade that culminates in cortisol release. Therefore, genetic variation in the 5-HT2C receptor gene (HTR2C) is a prime candidate for affecting cortisol reactivity to stress. Accordingly, we examined the association of a nonsynonymous polymorphism (Cys23Ser; rs6318) in HTR2C with stress reactivity in two Trier Social Stress Tests conducted at separate sites. In both Study 1 (N = 128) and Study 2 (N = 185), Cys23 homozygous females and hemizygous males had greater cortisol reactivity. There was no relation between this polymorphism and self-reported affective response (Studies 1 and 2) or cardiovascular reactivity (Study 2). Additionally, the short/short genotype of a polymorphism (5-HTTLPR) in the serotonin transporter gene was associ-
Validation of the LAI biophysical product derived from Sentinel-2 and Proba-V images for winter wheat in western Poland

The main objective of the work presented is to assess applicability of new-generation satellite data for deriving Leaf Area Index (LAI) information. Two types of data were used in the study: Sentinel-2 and Proba-V images. Various vegetation indices were derived from these data and correlated with ground measured LAI values. The results of the study revealed that there is a good relationship between satellite based indices – Normalized Difference Vegetation Index (NDVI), Normalized Difference Infrared Index (NDII), and Disease Water Stress Index (DSWI) – and ground based LAI, but the strength of this relationship depends on the phase of crop development. It was also found that the accuracy of LAI determination with the use of the vegetation index derived from Sentinel-2 and Proba-V data is similar when applying the image acquisition at the proper date – the heading stage for winter wheat.
Entrepreneurship , Institutions , and Growth : Does the Level of Development Matter ?

This study questions the assumption that entrepreneurship unequivocally leads to economic growth. Using insights from institutional theory and development economics, we reevaluate entrepreneurship’s contribution towards economic growth. Our study uses Global Entrepreneurship Monitor (GEM) data for a panel of 83 countries from 2002 to 2014 and highlights several important findings. First, our evidence suggests that entrepreneurship encourages economic growth but not in developing countries. Second, we find that a country’s institutional environment—measured by GEM’s Entrepreneurial Framework Conditions (EFCs)—contributes to economic growth in more developed countries but not in developing countries. Lastly, we find that opportunity-motivated entrepreneurship encourages economic growth in developed countries, while necessity-motivated entrepreneurship discourages economic growth in developing countries. These findings have important policy implications. Namely, our evidence contradicts policy proposals that suggest entrepreneurship and the adoption of pro-market institutions that support it will encourage economic growth in developing countries. Our evidence suggests these policy proposals are unlikely to generate the desired economic growth.
Validity of worksheet-based guided inquiry and mind mapping for training students’ creative thinking skills

The purpose of this study is to explain the validity of guided inquiry and mind mapping-based worksheet that has been developed in this study. The worksheet implemented the phases of guided inquiry teaching models in order to train students’ creative thinking skills. The creative thinking skills which were trained in this study included fluency, flexibility, originality and elaboration. The types of validity used in this study included content and construct validity. The type of this study is development research with Research and Development (R & D) method. The data of this study were collected using review and validation sheets. Sources of the data were chemistry lecturer and teacher. The data is the analyzed descriptively. The results showed that the worksheet is very valid and could be used as a learning media with the percentage of validity ranged from 82.5%-92.5%.
The Integrative Effect of Direct Corrective Feedback and Metalinguistic Explanation on Learners' Accuracy in using English Articles

The present study was conducted to further improve the practice of written corrective feedback by integrating the two known feedback types (i.e. direct corrective feedback and metalinguistic explanation). With this aim, a sample of sixty-nine high-intermediate Iranian EFL learners was assigned into different feedback groups. While the first and second groups received direct and metalinguistic explanation feedback, respectively, the third group received an integration of both. Results showed that all three types of feedback improved the learners’ accuracy, though with different degrees of success. However, the results of the delayed post-tests revealed that only the integration of Direct Corrective Feedback (DCF) with Metalinguistic Explanation (ME) had the most sustainable effect on the learners' accurate use of the articles in the long run. It is discussed that the integration of DCF and ME can enhance the corrective effect of the feedback and reduce the defects which have been associated with the practice.
Financial Development and Economic Growth in the MENA Region : What about Islamic Banking Development

The purpose of this paper is to give firstly the theoretical advantages of Islamic banking and the main developmental characteristics of its financing modes and secondly; we assess empirically the relationship between the financial development and growth in some countries in the MENA region. We try to check the specific effect of Islamic sector on the economic growth using the amount of credit issued to the private sector by Islamic banks as measures of Islamic financial development. Thus, peculiarities of Islamic financial system will be detected. The empirical study is conducted using an unbalanced panel data from 16 MENA region countries. We present evidence based on system GMM estimation of a dynamic panel model. Our empirical results show a no significant relationship between banking and growth which reinforce the idea that banks don’t spur economic growth. Besides, we find for some specifications that the banks indicator is significantly negative associated with growth. Another finding is that Islamic banks don’t make the exception in the financial markets and show a weak relation with growth but it tends to act positively as theoretically demonstrated. Finally, we demonstrated that the relationship between the financial development and growth is quite heterogeneous across MENA countries where the relation is negative for Petroleum Exporting MENA Countries and positive but not significant in MENA countries without oil manna. JEL classification: E44; O16; C33
Estimation Using Pane

We discuss the estimation of linear panel-data models with sequential moment restrictions using symmetrically normalized generalized method of moments (GMM) estimators (SNM) and limited information maximum lilcelihood (LIML) analogues. These estimators are asymptotically equivalent to standard Glklhf but are invariant to normalization and tend to have a smaller finite-sample bias, especially when the instruments are poor. We study their properties in relation to ordinary GMM and minimum distance estimators for . 4R(1) models with individual effects by mean of simulations. Finally. as empirical illustrations. we estimate by SNM and LIML employment and wage equations using panels of U.K. and Spanish firms.
Fault Diagnosis for UAV Blades Using Artificial Neural Network

In recent years, unmanned aerial vehicles (UAVs) have been used in several fields including, for example, archaeology, cargo transport, conservation, healthcare, filmmaking, hobbies and recreational use. UAVs are aircraft characterized by the absence of a human pilot on board. The extensive use of these devices has highlighted maintenance problems with regard to the propellers, which represent the source of propulsion of the aircraft. A defect in the propellers of a drone can cause the aircraft to fall to the ground and its consequent destruction, and it also constitutes a safety problem for objects and people that are in the range of action of the aircraft. In this study, the measurements of the noise emitted by a UAV were used to build a classification model to detect unbalanced blades in a UAV propeller. To simulate the fault condition, two strips of paper tape were applied to the upper surface of a blade. The paper tape created a substantial modification of the aerodynamics of the blade, and this modification characterized the noise produced by the blade in its rotation. Then, a model based on artificial neural network algorithms was built to detect unbalanced blades in a UAV propeller. This model showed high accuracy (0.9763), indicating a high number of correct detections and suggests the adoption of this tool to verify the operating conditions of a UAV. The test must be performed indoors; from the measurements of the noise produced by the UAV it is possible to identify an imbalance in the propeller blade.
NEGATIVE RESULTS ON PRECIPITOUS IDEALS ON 
$\omega _1$

Abstract We show that in many extender models, e.g., the minimal one with infinitely many Woodin cardinals or the minimal with a Woodin cardinal that is a limit of Woodin cardinals, there are no generic embeddings with critical point $\omega _1$ that resemble the stationary tower at the second Woodin cardinal. The meaning of “resemble” is made precise in the paper (see Definition 0.3).
Molecule s of Interest Stevioside

Stevioside is a natural sweetener extracted from leaves of Stevia rebaudiana (Bertoni) Bertoni. The literature about Stevia, the occurrence of its sweeteners, their biosynthetic pathway and toxicological aspects are discussed. Injection experiments or perfusion experiments of organs are considered as not relevant for the use of Stevia or stevioside as food, and therefore these studies are not included in this review. The metabolism of stevioside is discussed in relation with the possible formation of steviol. Different mutagenicity studies as well as studies on carcinogenicity are discussed. Acute and subacute toxicity studies revealed a very low toxicity of Stevia and stevioside. Fertility and teratogenicity studies are discussed as well as the effects on the bio-availability of other nutrients in the diet. The conclusion is that Stevia and stevioside are safe when used as a sweetener. It is suited for both diabetics, and PKU patients, as well as for obese persons intending to lose weight by avoiding sugar supplements in the diet. No allergic reactions to it seem to exist. # 2003 Elsevier Ltd. All rights reserved.
A non-local traffic flow model for 1-to-1 junctions

We present a model for a class of non-local conservation laws arising in traffic flow modelling at road junctions. Instead of a single velocity function for the whole road, we consider two different road segments, which may differ for their speed law and number of lanes (hence their maximal vehicle density). We use an upwind type numerical scheme to construct a sequence of approximate solutions, and we provide uniform L∞ and total variation estimates. In particular, the solutions of the proposed model stay positive and below the maximum density of each road segment. Using a Lax–Wendroff type argument and the doubling of variables technique, we prove the well-posedness of the proposed model. Finally, some numerical simulations are provided and compared with the corresponding (discontinuous) local model.
Pengembangan Lembar Kerja Praktikum Percobaan Melde Berbasis Project Based Learning

Penelitian ini bertujuan untuk (1) mendeskripsikan cara mengembangkan lembar kerja praktikum percobaan melde berbasis project based learning (PjBL), (2) mendeskripsikan tingkat kelayakan, (3) mendeskripsikan tingkat kemenarikan lembar kerja praktikum percobaan melde berbasis PjBL. Subjek penelitian 41 mahasiswa. Penelitian ini merupakan jenis penelitian yang diadaptasi dari Thiagarajan (4D) yaitu metode (Research and Development), meliputi define, design, developt, dan desiminatte. Penelitian dilakukan sampai pada tahap pengembangan, dan menghasilkan produk berupa lembar kerja praktikum percobaan melde berbasis PjBL. Hasil penilaian lembar kerja praktikum percobaan melde berbasis PjBL dengan alat pengumpulan data angket tertutup, analisis data menggunakan mixed method yaitu: pada penilaian ahli media 87,3% (sangat layak), dan penilaian ahli materi 88,2% (sangat layak). Selanjutnya, Hasil uji coba lembar kerja praktikum percobaan melde berbasis PjBL dengan alat pengumpulan data angket tertutup, analisis data menggunakan mixed method antara lain: uji coba satu lawan satu 80%, uji coba kelompok kecil 80,6%, dan uji coba lapangan 81,5% ketiga hasil uji coba dikriteriakan sangat menarik. Jadi, lembar kerja praktikum percobaan melde berbasis PjBL sangat layak dijadikan media pembelajaran.
Regional variations in neotectonic fault behaviour in Australia , as they pertain to the seismic hazard in capital cities

Four of Australia’s largest five population centres are topographically constrained by prominent escarpments (i.e. Sydney, Melbourne, Perth, Adelaide). These escarpments are underlain by faults or fault complexes capable of hosting damaging earthquakes. Paleoseismological investigations over the last decade indicate that the seismogenic character (e.g. recurrence and magnitude) of these structures varies markedly. Uplift rates on range-bounding faults in the Mt. Lofty Ranges suggest that average recurrence for Mmax earthquakes on individual faults is in the order of several tens of thousands of years. A high density of faults with demonstrated Late Quaternary surface rupture occurring proximal to Adelaide suggests that recurrence of damaging ground-shaking from earthquakes on these faults is in the hundreds to few thousand years. Uplift rates on faults proximal to Melbourne (and the Latrobe Valley, where much of Victoria’s power is generated) in some cases exceed those of the Mt. Lofty Ranges. However, a lower relative density of seismogenic faults proximal to the conurbation of Melbourne implies a lower level of hazard than in Adelaide. In contrast to Melbourne and Adelaide, paleoseismological investigations on the Darling Fault near Perth, and the Lapstone Structural Complex near Sydney, indicate average recurrence for Mmax events in the hundreds of thousands to millions of years. These faults contribute little to probabilistic assessments of hazard, while larger, distant events and proximal sub-Mmax events have been demonstrated to be damaging in all of these areas (e.g. 1968 Ms6.8 Meckering, 1989 ML5.6 Newcastle, 1954 ML5.4 Adelaide, 2012 ML 5.4 Moe). Further research is required to demonstrate that earthquakes of sub-morphogenic and morphogenic magnitude might be modelled on the same Gutenberg-Richter distribution curve.
Automatic New Topic Identification in Search Engine Transaction Log Using Goal Programming

Automatic new topic identification is a key issue in transaction log analysis of Web search engines. This study proposes a goal programming model to automatically perform new topic identification in search engine transaction logs by using statistical characteristics of queries, such as time intervals and query reformulation patterns. Sample data log from the Excite search engine is selected, and then the goal program is used to identify topic changes in the data log. Our results show that, the goal programming approach overestimates the topic changes in the sample dataset compared to some other approaches of automatic new topic identification; however, doing so also significantly improves its performance in terms of the number of correctly estimated topic changes. Some performance measures yielded more satisfactory results than the ones in previous studies, showing that the goal programming approach could be a successful tool for automatic new topic identification.