Miracle-dz/UniFAR-FTUs huggingface dataset:
One-to-one tutoring and mathematics students’ achievement in the United Arab Emirates

In this study in the United Arab Emirates (UAE), we investigated college students’ perceptions of their past experience of receiving one-to-one tutoring support in mathematics when they were in secondary school. In addition, we also explored students’ reasons for taking one-to-one tutoring in mathematics, the perceived impact of one-to-one tutoring in overcoming shortcomings of school mathematics teaching and on their mathematics achievement, and whether the learning environment at school influenced decisions about having one-to-one tutoring. Eight case-study students were involved in recalling how beneficial one-to-one tutoring was through semi-structured interviews. Because of the small sample size, the research involved only qualitative data based on the recollections of college students who were attending a one-year course in the General Education department of Abu Dhabi Men’s College. The research provided valuable insights into how some students considered having a one-to-one tutor beneficial for their achievement when they were in secondary school. Educators must consider students’ learning environment as being one of the main reasons for deciding whether or not to undertake one-to-one tutoring to raise their achievement in mathematics. ﻓﻲ ھذه اﻟد را ﺳﺔ ﻓﻲ دوﻟ ﺔ ا ﻹﻣﺎ را ت اﻟ ﻌرﺑﯾﺔ اﻟ ﻣﺗ ﺣدة، د رﺳﻧﺎ ﺗ ﺻورا ت طﻼب اﻟ ﺟﺎ ﻣﻌﺎ ت ﻋن ﺗ ﺟرﺑﺗﮭم اﻟ ﺳﺎﺑﻘﺔ ﻓﻲ ﺗﻘدﯾم د ﻋم ﺗﻌﻠﯾﻣ ﻲ ﻓ رد ي ﻓﻲ اﻟ رﯾﺎ ﺿﯾﺎ ت ﻋﻧدﻣﺎ ﻛﺎﻧ وا ﻓﻲ اﻟ ﻣد رﺳﺔ اﻟﺛﺎﻧ وﯾﺔ. ﺑﺎ ﻹ ﺿﺎﻓﺔ إ ﻟ ﻰ ذ ﻟ ك ، ا ﺳ ﺗ ﻛ ﺷ ﻔ ﻧ ﺎ أ ﯾ ﺿً ﺎ أ ﺳ ﺑ ﺎ ب ا ﻟ ط ﻼ ب ﻹ ﺟ ر ا ء د ر و س ﻓ ر د ﯾ ﺔ ﻓ ﻲ اﻟر ﯾﺎ ﺿ ﯾﺎ ت ، وا ﻟﺗﺄﺛﯾ ر اﻟ ﻣﻠ ﺣو ظ ﻟﻠ د رو س اﻟﻔ ردﯾ ﺔ ﻋﻠ ﻰ ﺗ ﺣ ﺻ ﯾﻠ ﮭم ﻓ ﻲ اﻟر ﯾﺎ ﺿ ﯾﺎ ت ، وﻣ ﺎ إذا ﻛﺎﻧ ت ﺑﯾﺋﺔ اﻟﺗ ﻌﻠم ﻓ ﻲ اﻟ ﻣد رﺳﺔ ﻗد أﺛ ر ت ﻋﻠ ﻰ اﻟﻘ را را ت اﻟ ﻣﺗ ﻌﻠﻘﺔ ﺑﺎ ﻟ ﺣ ﺻ ول ﻋ ﻠ ﻰ ﺗد ر ﯾ ب ﻓ ر د ي . د ر س وا ﺣ د. ﺷ ﺎ ر ك ﺛ ﻣﺎﻧ ﯾ ﺔ ﻣ ن ط ﻼ ب د ر ا ﺳ ﺔ اﻟﺣ ﺎﻟ ﺔ ﻓ ﻲ اﻟﺗذﻛﯾ ر ﺑ ﻣد ى ﻓﺎﺋدة اﻟﺗد رﯾ س اﻟﻔ رد ي ﻣ ن ﺧﻼل ﻣ ﻘ ﺎ ﺑ ﻼ ت ﺷ ﺑ ﮫ ﻣ ﻧ ظ ﻣ ﺔ . ﻧ ظ رً ا ﻟ ﺻ ﻐ ر ﺣ ﺟ م ا ﻟ ﻌ ﯾ ﻧ ﺔ ، ﺗ ﺿ ﻣ ن ا ﻟ ﺑ ﺣ ث ﻓ ﻘ ط ﺑ ﯾ ﺎ ﻧ ﺎ ت ﻧ و ﻋ ﯾ ﺔ ا ﺳ ﺗ ﻧ ﺎ دًا إ ﻟ ﻰ ذ ﻛ ر ﯾ ﺎ ت ط ﻼ ب ا ﻟ ﺟ ﺎ ﻣ ﻌ ﺎ ت ا ﻟ ذ ﯾ ن ﺣ ﺿ ر و ا دو رة ﻣدﺗ ﮭﺎ ﻋﺎم وا ﺣد ﻓ ﻲ ﻗ ﺳم اﻟﺗ ﻌﻠﯾم اﻟ ﻌﺎم ﻓ ﻲ ﻛﻠﯾﺔ أﺑو ظ ﺑ ﻲ ﻟ ﻠ ط ﻼ ب . ﻗ د م ا ﻟ ﺑ ﺣ ث ر ؤ ى ﻗ ﯾّﻣ ﺔ ﺣ و ل ﻛﯾ ﻔﯾ ﺔ ﻧ ظر ﺑ ﻌ ض اﻟ طﻼب ﻓ ﻲ وﺟود ﻣد ر س وا ﺣد ﻣﻔﯾد ﻟﺗ ﺣﻘﯾﻘ ﮭم ﻋﻧدﻣ ﺎ ﻛﺎﻧ وا ﻓ ﻲ اﻟ ﻣد رﺳﺔ اﻟﺛﺎﻧ وﯾ ﺔ. ﯾ ﺟ ب ﻋﻠ ﻰ اﻟ ﻣﻌﻠ ﻣﯾ ن ا ﻋﺗﺑﺎ ر ﺑﯾﺋ ﺔ ﺗ ﻌﻠم اﻟ طﻼب وا ﺣدة ﻣ ن ا ﻷﺳﺑﺎ ب اﻟ رﺋﯾ ﺳﯾ ﺔ ﻟﺗ ﻘ ر ﯾ ر ﻣﺎ إ ذا ﻛﺎ ن ﯾ ﺟ ب ﻋ ﻠﯾﮭم إ ﺟ ر ا ء د ر و س ﻓ ر دﯾ ﺔ أ م ﻻ ﻟ ر ﻓ ﻊ ﻣ ﺳ ﺗ و ى ﺗ ﺣ ﺻ ﯾﻠﮭم ﻓ ﻲ اﻟ ر ﯾﺎ ﺿ ﯾﺎ ت .
Band Engineering in Thermoelectric Materials Using Optical, Electronic, and Ab-Initio Computed Properties

Thermoelectric materials have demanded a significant amount of attention for their ability to convert waste heat directly to electricity with no moving parts. A resurgence in thermoelectrics research has led to significant enhancements in the thermoelectric figure of merit, zT, even for materials that were already well studied. This thesis approaches thermoelectric zT optimization by developing a detailed understanding of the electronic structure using a combination of electronic/thermoelectric properties, optical properties, and ab-initio computed electronic band structures. This is accomplished by applying these techniques to three important classes of thermoelectric materials: IV-VI materials (the lead chalcogenides), Half-Heusler’s (XNiSn where X=Zr, Ti, Hf), and CoSb3 skutterudites. In the IV-VI materials (PbTe, PbSe, PbS) I present a shifting temperature-dependent optical absorption edge which correlates well to the computed ab-initio molecular dynamics result. Contrary to prior literature that suggests convergence of the primary and secondary bands at 400 K, I suggest a higher convergence temperature of 700, 900, and 1000 K for PbTe, PbSe, and PbS, respectively. This finding can help guide electronic properties modelling by providing a concrete value for the band gap and valence band offset as a function of temperature. Another important thermoelectric material, ZrNiSn (half-Heusler), is analyzed for both its optical and electronic properties; transport properties indicate a largely different band gap depending on whether the material is doped n-type or p-type. By measuring and reporting the optical band gap value of 0.13 eV, I resolve the discrepancy in the gap calculated from electronic properties (maximum Seebeck and resistivity) by correlating these estimates to the electron-to-hole weighted mobility ratio, A, in narrow gap materials (A is found to be approximately 5.0 in ZrNiSn). I also show that CoSb3 contains multiple conduction bands that contribute to the thermoelectric properties. These bands are also observed to shift towards each other with temperature, eventually reaching effective convergence for T>500 K. This implies that the electronic structure in CoSb3 is critically important (and possibly engineerable) with regards to its high thermoelectric figure of merit.
MODELING, DESIGN, AND ADJOINT SENSITIVITY ANALYSIS OF NANO-PLASMONIC STRUCTURES

The thesis intends to explain in full detail the developed techniques and approaches for the modeling, design, and sensitivity analysis of nano-plasmoic structures. However, some examples are included for audiences of general microwave background. Although the thesis is mainly focused on simulation-based techniques, analytical and convex optimization approaches are also demonstrated. The thesis is organized into two parts. Part 1 includes Chapters 2-4, which cover the simulation-based modeling and sensitivity analysis approaches and their applications. Part 2 includes Chapters 5 and 6, which cover the analytical optimization approaches.
Reynolds and Mach number effects on multielement airfoils

Experimental studies were conducted to assess Reynolds and Mach number effects on a supercritical multielement airfoil. The airfoil is representative of the stall-critical station of an advanced transport wing design. The experimental work was conducted as part of a cooperative program between the Douglas Aircraft Company and the NASA LaRC to improve current knowledge of high-lift flows and to develop a validation database with practical geometries/conditions for emerging computational methods. This paper describes results obtained for both landing and takeoff multielement airfoils (four and three-element configurations) for a variety of Mach/Reynolds number combinations up to flight conditions. Effects on maximum lift are considered for the landing configurations and effects on both lift and drag are reported for the takeoff geometry. The present test results revealed considerable maximum lift effects on the three-element landing configuration for Reynolds number variations and significant Mach number effects on the four-element airfoil.
DEEP BLACK SEA CIRCULATION DESCRIBED BY ARGO PROFILING FLOATS

Програмата Арго за Черно море стартира през 2002. Оттогава са пуснати в действие 29 сонди, които са генерирали ~3600 профила на термохалинните характеристики на морето в слоя до 2000 m. Сондите плават на фиксирана дълбочина и високата времева резолюция на техните данни (повечето сонди правят пълен цикъл за 5 дни) позволява да се използва дълбочинното им преместване като индикатор на дълбочинните теченията на тяхната паркираща дълбочина (варираща между 200 и 1000 m). В това изследване е направено проучване на дълбочинната циркулация, описана от траекториите на скорошните Арго сонди на четири дълбочини (200, 350, 750 и 1000 m). Резултатите са анализирани отделно за различните времеви мащаби: сезонно и междугодишно разпределение. Главните резултати могат да бъдат обобщени по следния начин. Дълбочинната циркулация е подобна на тази на повърхността, като скоростта намалява с дълбочината. Като цяло теченията са по-силни в близост до брега и по-слаби в открито море, а най-големите скорости се наблюдават по южния бряг. Сезонните вариации на теченията са по-изразени в близост до повърхността и намаляват с дълбочината. Наблюдава се междугодишна изменчивост на всички 4 изследвани нива.
Machine Learning Based Method for Prediction of Heart Disease in Big Data Environment

Prediction of diseases is one of the challenging tasks in healthcare domain. Conventionally the heart diseases were diagnosed by experienced medical professional and cardiologist with the help of medical and clinical tests. With conventional method even experienced medical professional struggled to predict the disease with sufficient accuracy. In addition, manually analysing and extracting useful knowledge from the archived disease data becomes time consuming as well as infeasible. The advent of machine learning techniques enables the prediction of various diseases in healthcare domain. Machine learning algorithms are trained to learn from the existing historical data and prediction models are being created to predict the unknown raw data. For the past two decades, machine learning techniques are extensively employed for disease prediction. Despite the capability of machine algorithm on learning from huge historical data which is stored in data mart and data warehouses using traditional database technologies such as Oracle OnLine Analytical Processing (OLAP). The conventional database technologies suffer from the limitation that they cannot handle huge data or unstructured data or data that comes with speed. In this context, big data tools and technologies plays a major role in storing and facilitating the processing of huge data. In this paper, an approach is proposed for prediction of heart diseases using Support Vector Algorithm in Spark environment. Support Vector Machine algorithm is basically a binary classifier which classifies both linear and non-linear input data. It transforms the non-linear data into hyper plan with the help of different kernel functions. Spark is a distributed big data processing platform which has a unique feature of keeping and processing a huge data in memory. The proposed approach is tested with a benchmark dataset from UCI repository and results are discussed.
Short Sales and Corporate Investment Efficiency: Evidence from China

ABSTRACT This research assesses the effect of short sales on investment efficiency in China by applying the DID method. Results show that short sales can improve investment efficiency and that the effect is more pronounced for companies with low information transparency, low governance capacity, low audit quality, and high management performance pressure. Evidence reveals that the impact of short sales varies under different market sentiments. Our findings support the beneficial role of short sales on the information and governance environment. Governments and investors can thus pay more attention to short sales, as they help in their role of accelerating information dissemination.
The forced commutation of thyristors connected in series

Widespread high voltage application of forced commutation was then, and still is, some years ahead. The thesis puts foward methods which have been devised for ensuring satisfactory thyristor turn-off in this context and suggests Some possible future trends in application. Individual tbyristor turn-off characteristics are first studied together with the equivalent diode characteristics. The difficulties of using thyristors in series for high voltage working are described and the limitations of the conventional resistive-capacitive voltage sharing network discussed in relation to forced commutation. Three forms of improved voltage sharing network are presented together with developments which use these in suitable combination. All have been tested with series-connected thyristors operating in a high voltage force-commutated chopper circuit. The advantages and disadvantages, and a design procedure, are given for each form of network. The two most appropriate voltage sharing arrangements are applied to the series thyristors and diodes in a high voltage, variable frequency d.c. chopper, and their overall influence on chopper performance is considered in detail. Owing to the possibility of cascade failure when many semiconductor devices are connected in series, extensive component damage can result from circuit malfunction or incorrect component connection. Great care has therefore. been necessary in the design, construction and checking of the high voltage experimental equipment. It is concluded that the voltage sharing methods devised make possible forced commutation of thyristors at high voltages and do not, in themselves, provide the practical constraints on system performance. The methods are compared on a technical and economic basis. Possible future applications are reviewed, with particular emphasis placed on the transformation of d.c. at high voltages using chopping techniques. Other problems which must be solved before such applications become realisable outside the laboratory are outlined and suggestions made for future work.
Inside all-optical networks

Imagine a world where lightning speed Internet is as common as telephones today. Imagine when light, the fastest moving thing in the universe, is the signal-carrying transport medium. Imagine when bandwidth no more remains a constraint for any application. Imagine when imagination is the only limit! This all can be made possible with only one technology and that is optical communication. Optical networks have thus far provided a realization to a greater extent to the unlimited bandwidth dreams of this era, but as the demands are increasing, the electro-optic conversions seem to become bottlenecks in blended optical networks. The only answer to this is a complete migration to „All-Optical Networks‟ (AONs) which promise an end-to-end optical transmission. This thesis will investigate various aspects of all-optical networks and prove that AONs perform better than currently existing electro-optical networks. In today‟s‟ electro-optical networks, routing and switching is performed in electronic domain. Performance analysis of I N S I D E A L L O P T I C A L N E T W O R K S 8 electro-optical and all-optical networks would include node utilization, link utilization and percentage of traffic routed. It will be shown through Opnet Transport Planner simulations that AONs work better under various traffic conditions. The coming decade will see a great boom in demands on telecommunications networks. The development in bandwidth-hungry applications like real-time video transmission, telemedicine, distance learning and video on demand require both an unlimited amount of bandwidth and dependable QoS. It is well understood that electrically switched networks and copper cables will not be able to meet the future network demands effectively. The world has already agreed to move towards optical communication techniques through the introduction of fiber in access parts of the networks replacing copper. Now the race is to bring optics in higher layers of OSI reference model. Optical communication is on the horizon, and new discoveries are still underway to add to the value of available bandwidth through this technology. My research thesis will primarily focus on the design, architecture and network properties of AONs and challenges being faced by AONs in commercial deployment. Optical components required in AONs will be explored. A comparison between AONs and electro-optical networks will also be shown through optical transport planner simulations.
Trajectories of Internationalization: Knowledge and National Business Styles in the Making of Two Dutch Publishing Multinationals, 1950-1990

The internationalization of business is the subject of an extensive theoretical literature as well as a growing number of historical studies. Historians have paid relatively little attention to the development of multinationals in the service sector, and studies about international publishing are especially scarce. This article discusses the early internationalization of two Dutch publishing firms, Kluwer (now Wolters Kluwer) and Elsevier (now Reed Elsevier) and confronts these case histories with the evolutionary theory of internationalization. The Dutch cases underline the important role of experience, knowledge and learning as well as of the national context in which companies develop. They also show that these factors allow for very different trajectories of internationalization within the same branch of business and the same country.
Shear Capacity of Prestressed Concrete Beams

The shear provisions of the American Association of State Highway and Transportation Officials bridge design code have changed significantly in recent years. The 2004 Load and Resistance Factor Design (LRFD) and 2002 Standard shear provisions for the design of prestressed concrete bridge girders typically require more shear reinforcement than the 1979 Interim shear provisions. The purpose of this research was to determine whether or not bridge girders designed according to the 1979 interim shear provisions were underdesigned for shear and develop a method to identify potentially underdesigned girders. Two shear capacity tests were performed on opposite ends of a bridge girder removed from Mn/DOT Bridge No. 73023. The stirrup spacing in the girder suggested it was designed according to the 1979 Interim shear provisions. The results from the shear tests indicated the girder was capable of holding the required shear demand because the applied shear at failure for both tests was larger than the factored shear strength required by the 2004 LRFD HL-93 and 2002 Standard HS20-44 loading. The results of a parametric study showed that girders designed using the 1979 Interim were most likely to be underdesigned for shear near the support and that the girders most likely to be underdesigned in this region had smaller length to girder spacing ratios.
FINDING THE HARMONY OF FINANCIAL TECHNOLOGY IN ISLAM PERSPECTIVE: A PHENOMENON IN INDONESIA

ABSTRACTThe purpose of this article is to find out how harmony between the era of financial technology is compared with Islamic principles in Indonesia. Financial technology that is intended for humans to meet ever-increasing needs, increasingly rapid human mobilization, as well as increasing human activity. The method used in the discussion of this article is a critique of the phenomenon that developed in the era of financial technology in Indonesia as a developing country that supports the era of financial technology from developed countries. The literature used in this paper is published by national and international scientific journals and is supported by scientific books from various scientists. This article is expected to provide additional knowledge, become an opening point for further research, and be made as a guide in conducting business at various levels that discuss using financial technology. Keyword: Financial Technology, Islamic Perspective, Regulation
The classic metal‐sensing transcription factor MTF1 promotes myogenesis in response to copper

Metal‐regulatory transcription factor 1 (MTF1) is a conserved metal‐binding transcription factor in eukaryotes that binds to conserved DNA sequence motifs, termed metal response elements. MTF1 responds to both metal excess and deprivation, protects cells from oxidative and hypoxic stresses, and is required for embryonic development in vertebrates. To examine the role for MTF1 in cell differentiation, we use multiple experimental strategies [including gene knockdown (KD) mediated by small hairpin RNA and clustered regularly interspaced short palindromic repeats/CRISPR‐associated protein 9 (CRISPR/Cas9), immunofluorescence, chromatin immunopreciptation sequencing, subcellular fractionation, and atomic absorbance spectroscopy] and report a previously unappreciated role for MTF1 and copper (Cu) in cell differentiation. Upon initiation of myogenesis from primary myoblasts, both MTF1 expression and nuclear localization increased. Mtf1 KD impaired differentiation, whereas addition of nontoxic concentrations of Cu+‐enhanced MTF1 expression and promoted myogenesis. Furthermore, we observed that Cu+ binds stoichiometrically to a C terminus tetra‐cysteine of MTF1. MTF1 bound to chromatin at the promoter regions of myogenic genes, and Cu addition stimulated this binding. Of note, MTF1 formed a complex with myogenic differentiation (MYOD)1, the master transcriptional regulator of the myogenic lineage, at myogenic promoters. These findings uncover unexpected mechanisms by which Cu and MTF1 regulate gene expression during myoblast differentiation. —Tavera‐Montañez, C. , Hainer, S. J., Cangussu, D. , Gordon, S. J. V. , Xiao, Y. , Reyes‐Gutierrez, P., Imbalzano, A. N. , Navea, J. G. , Fazzio, T. G. , Padilla‐Benavides, T. The classic metal‐sensing transcription factor MTF1 promotes myogenesis in response to copper. FASEB J. 33, 14556‐14574 (2019). www.fasebj. org
TRANSPORTATION AND URBAN AIR POLLUTION POLICIES FOR DEVELOPED AND DEVELOPING COUNTRIES

Improvements in urban air quality remain elusive in large cities throughout the world, including those in the United States where efforts have continued over 20 years to reduce emissions from vehicles and other sources. Although technological advances in gasoline and diesel-fueled vehicles and in their emission control systems and fuel have resulted in impressive emissions reudctions, the combination of more vehicle-miles traveled and other factors offsets these improvements. Tightening further vehicle emissions standards in developed countries would be costly and -- judging by the continuing presence of ambient ozone in urban areas -- ineffective policy. Rather, efforts to target high-emissions vehicles and to impose fees on fuels, vehicles, or emissions may prove to be more cost-effective. For developing countries, the removal of lead from motor fuels and imposition of economic incentives to control transportation are potentially cost-effective strategies.
Vehicle Detection Using Edge Analysis and AdaBoost Algorithm

This paper proposes an algorithm capable of detecting vehicles in front or in rear using a monocular camera installed in a vehicle. The vehicle detection has been regarded as an important part of intelligent vehicle technologies. The proposed algorithm is mainly composed of two parts: 1)hypothesis generation of vehicles, and 2)hypothesis verification. The hypotheses of vehicles are generated by the analysis of vertical and horizontal edges and the detection of symmetry axis. The hypothesis verification, which determines vehicles among hypotheses, is done by the AdaBoost algorithm. The proposed algorithm is proven to be effective through experiments performed on various images captured on the roads.