Miracle-dz/UniFAR-FTUs huggingface dataset:
Did Brexit change the behaviour of the UK’s financial markets?

Abstract. The recent UK referendum results and subsequent initiation of Article 50 in the 2007 Lisbon Treaty set in motion the UK’s withdrawal from the European Union, acknowledge as Brexit. The result and subsequent action were unprecedented and for many unforeseeable. Apart from the political instability and division of the country, the complicated and long process of Brexit have both economic and financial consequences. With this in mind, we analyse the impact of Brexit on four main British financial markets: Equity, Foreign Exchange, Gold and Sovereign Debt; using daily data. We extendthe variance bound test proposed by Fakhry & Richter (2018) underpinned by an asymmetrical C-GARCH-m model of volatility. Unlike many in the past, we placed the emphasis on the stable markets; thus introducing the stable marketpre-condition hypothesis. We analyse the long and short run effects of Brexit on the stability of the UK’s financial market. Our results hint at a certain impact on the UK’s financial market in both the long and short runs on the market stability and hence efficiency. This seems to be dictated by the reaction of market participants to uncertainty surrounding the future of the UK Keywords. Volatility test, Asymmetrical C-GARCH-m, Financial markets, Brexit. JEL. C12, C58, D81, G01, G14, G15, G18, G40.
Model Predictive Control of Wind Turbines

Model-based state space controllers require knowlegde of states, both m easureable and unmeasureable, and state estimation algorithms are typically employed to obtain estimates of the unmeasureable sta tes. For the control of wind turbines, a good estimate of the free mean wind speed is important for the closed-loop dyna mics of the system and an appropiate level of modeling detail is required to obtain good estimates of the free mean wind spe e . In this work three aerodynamic models based on blade element momentum theory are presented and compared to th aero-servo-elastic code HAWC2. The first model known as quasi-steady aerodynamics assumes instant equilibriu m of the wind turbine wake, a modeling approach often used by model-based control algorithms. The second model inclu des the dynamic wake also known as dynamic inflow and gives a more correct description of the actual physics of the wind tu rbine wake. The dynamic inflow model includes a number of dynamic states proportional to the number of radial points in th e spatially discretized blade formulation. The large number of dynamic states inhibits the use of this model in model-ba s d control and estimation algorithms. The lack of dynamic inflow the first model and large number of dynamic states in the second model leads to a third model. A simplified dynamic inflow model, which with only a single dynamic state is still able to capture the most significant dynamics of the more advanced dynamic inflow model. Simulations in the aer o-servo-elastic code HAWC2 compare the ability to estimate the free mean wind speed when either the first or third model is inc uded in the estimation algorithm. The degrees of freedom for the wind turbine used in the simulations, have bee n reduced to achieve more transparent results and the simulations clearly show that the inclusion of the dynamic inflow model in the free wind speed estimation algorithm is important for good free mean wind speed estimates. Copyright c © 2010 John Wiley & Sons, Ltd.
Model-free control and fault accommodation for an experimental greenhouse

The greenhouse climate control is important in modern agriculture. It is also rather difficult to design: as a matter of fact writing down a "good" mathematical model, which takes into account strong meteorological disturbances, might be an impossible task. The control is here synthesized via a new "model-free" setting, which yields an "intelligent" proportional feedback controller, the tuning of which is straightforward, and even simpler than the intelligent proportional-integral controller, which was already utilized in a previous publication. Our control strategy is successfully tested via an experimental greenhouse. The comparison with the classic Boolean approach, which is popular among manufacturers, demonstrates the superiority of our viewpoint, which permits moreover an efficient actuator fault accommodation. It might be the first model-free fault-tolerant control, which works satisfactorily in practice.
Utilisation des CACs et des Ressources Externes pour l Amélioration des Performances de l Étiquetage Morphosyntaxique

Amazigh language, and like most of the languages wh ich ave only recently started being investigated f or the Natural Language Processing (NLP) tasks, lacks nnotated corpora and tools and still suffers from the scarcity of linguistic tools and resources and espe cially annotated corpora. Creating labeled data is a hard task. However, obtaining unlabeled data, although n eeding most time preprocessing for languages with scarce resources, is less difficult. The aim of thi s paper is to present a semi-supervised based appro ach using labeled and unlabeled data. Preliminary resul ts show an error reduction of 1,3%, when training o ur POS tagger with Conditional Random Fields(CRFs), wi th chosen automatically annotated texts and a small manually annotated corpus of about 20k tokens . Also, when trained with automatically annotated data, the achieved improvement between 60% and 90% of the trained data is 5.9%.
An Analysis of College Choice Information Provided on Graduate Program Websites: Implications for Improving Applicant Diversity in Educational Measurement

There has long been a concern about the lack of representation of ethnic minorities in the field of educational measurement. As previous research has shown that graduate programs primarily rely on their websites for recruiting efforts, the objective of this study was to conduct a content analysis of all U.S. educational measurement program websites to evaluate the availability of college choice information found to be useful for underrepresented ethnic minority applicants. In terms of program climate, results revealed that less than 10% of programs directly encouraged ethnic minorities to apply or included an anti-discrimination statement in regards to application review on their websites. Moreover, only a few program websites indicated the availability of flexible programming – previously found to be important for underrepresented ethnic minority students – such as part-time options (16%), evening courses (10%), and online course/program availability (8%). Recommendations for how measurement programs can improve their websites to include desirable college choice information for underrepresented ethnic minority applicants is discussed.
On the usage of sorting networks to control greenhouse climatic factors

The goal of this article is the application of a non-adaptive classification algorithm to support the variable management process for internal climate control. The protected agriculture has given many advantages for the care and improvement in the production of almost any food. This work is focused on improving a control system for climate variables. The decision for activating an actuator for the correct care of the crop is very important. A sorting network technique with predefined compare–interchange operations and designed to order data very efficiently is proposed. This approach has been applied to the process of handling actuators within a control system. An advantage of using the sorting networks is that it has an inflexibility when processing a data list; it always takes the same units of time and is executed in the same number of operations for an input size of n. Sorting network–based applications are scarce in the state-of-the-art because there are not many techniques that are effective for sorting very small data sizes. The use of sorting networks in the process of assessing the determination of actuators is proposed. This operation is scheduled in the design of control and performed at each reading back data.
HYBRID BAKER MAP WITH AES IN CIPHER BLOCK CHAINING MODE IN MEDICAL IMAGES

While transferring the medical images from one place to another place lot of security issues are raised. The security issues are confidentiality, integrity and authenticity. Combined encryption and watermarking technique used to verify the integrity and authenticity of medical images. Encryption algorithms are operated in stream cipher and block cipher mode. Advanced Encryption Standard (AES) algorithm is one of the block cipher algorithm. The proposed method uses Advanced Encryption Standard Algorithm in Cipher Block Chaining (CBC) mode. To increase the security, the proposed technique uses baker key in the original image before applying the AES algorithm. Based on the baker key the image pixel position has been changed. To increase the data hiding capacity this technique embeds the information in the spatial domain and encrypted domain. The main objective of this method is to provide integrity and authenticity of the medical images at the same time increase the information embedding capacity. Experimental security analysis is taken for the 8-bit ultrasound images and 16-bit Positron Emission Tomography (PET) images.
Teachers’ Experiences in Serving Late-Entering Central American Refugees with Limited or Interrupted Formal Education

The overarching purpose of this study was to fill a gap in the academic literature not only by shedding light on the experiences and perceptions of teachers of late-entering Central American students with limited or interrupted formal education (SLIFE), all of whom teach in segregated, high-poverty, under-resourced, urban high schools, but in looking at what works in those challenging contexts. Therefore, the research questions asked what the teachers’ experiences have been in serving the focal students, what challenges the teachers have faced and how they have addressed them, how they effectively leveraged the focal students’ strengths and languaging practices in the classroom, and how teachers, schools, and districts can improve their services. This qualitative study employed Latina/o critical race theory (LatCrit) as the conceptual framework and constructivist grounded theory methods for the data analysis. Fifteen high school teachers from different subject areas were interviewed, and the findings were member checked with focus group interviews. The participants had to have taught Central American newcomers for at least one year since the influx of unaccompanied minors from the northern triangle countries in 2014. A theoretical statement and six themes emerged, and they have implications for policy, practice, and research.
The Effect of Teaching Word Formation Theory to English Students

The word-formation theory is often avoided in English language course books and little research is conducted on the pedagogical status of word-building process. However, many researchers and lecturers have realized the effect of teaching word-formation theory in English languages course books. English language lecturers have noted that vocabulary is very important in various subjects of English language branch curricula. For this reason, we must admit that the processes of word-formation, through which every language vocabulary can be enriched, are very important in English language teaching and learning. Word formation components such as prefixes, suffixes, etymology, history of words and other required materials in composing the vocabulary of English language are tested in AleksandA«r Moisiu University. The results have revealed a significant and successful effect of teaching Word formation theory, this way showing the colossal importance of this important language aspect in every English language edition course book. This paper has two aims: first to review types of English word-formation and, second, to discuss the absence and the need for word-formation theory in English language course books. Keywords: Word formation, prefixes, suffixes, words, vocabulary.
Teachers' Perceptions of Factors Affecting Their Adoption and Acceptance of Mobile Technology in K-12 Settings

ABSTRACT Factors influencing the adoption and acceptance of tablets as a mobile technology were explored one year after their integration in middle schools in Palestine. Semi-structured interviews were conducted with 15 teachers. The participants held a variety of attitudes toward accepting mobile technologies in their instruction. The findings revealed that teachers' attitudes are an important factor in accepting or rejecting tablet use in classrooms. Many factors influenced teachers' attitudes such as technical support, instructional assistance, and infrastructure. A teacher's prior experience with tablets was also important for integrating technology into the classroom.
Sovereign Default Triggered by Inability to Repay Debt

The Greek sovereign default episode in 2012 was characterized by its high debt-to-GDP ratio and the severe economic contraction following the default. Conventional strategic default models designed to analyze a government's incentive to default often fail to replicate these characteristics. To address this issue, we provide a dynamic stochastic general equilibrium (DSGE) model where a sovereign default is triggered by the government's inability to repay its debt. We show that the inability-to-repay model replicates the empirical features observed in Greece, while the conventional strategic default model calibrated to the Greek economy does not.
Role of Problematic Internet Use, Sense of Belonging and Social Appearance Anxiety in Facebook Use Intensity of University Students

The aim of this study was to examine the role of problematic internet usa, sense of belonging and social appearance anxiety in facebook use intensity of university students. The sample of the study consisted of 484 (332 female, 68.6% and 152 male 31.4%) different faculties of various universities of Konya. Problematic Internet Use Scale, General Belongingness Scale, Facebook Intensity Scale, The Social Appearance Anxiety Scale, Personal Knowledge Form were used in the study. Pearson Correlation Product Conduct and multiple regression analysis were used to analyze the data. According to the findings of the study, There was a significant positive relationship between the mean scores of the participants on the Facebook Intensity Scale and the mean scores of the Problematic Internet Use Scale and the Social Appearance Anxiety Scale. Regression analysis examined shows that social appearance anxiety and problematic internet use and general belonging sense average scale scores were significantly prediction of Facebook İntensity Scale Scores. The results of the research were discussed within the framework of the literature. Based on the findings of the research, comments and suggestions were developed.
2016 Ieee International Conference on Big Data (big Data) Heer: Heterogeneous Graph Embedding for Emerging Relation Detection from News

—Real-world knowledge is growing rapidly nowadays. New entities arise with time, resulting in large volumes of relations that do not exist in current knowledge graphs (KGs). These relations containing at least one new entity are called emerging relations. They often appear in news, and hence the latest information about new entities and relations can be learned from news timely. In this paper, we focus on the problem of discovering emerging relations from news. However, there are several challenges for this task: (1) at the beginning, there is little information for emerging relations, causing problems for traditional sentence-based models; (2) no negative relations exist in KGs, creating difficulties in utilizing only positive cases for emerging relation detection from news; and (3) new relations emerge rapidly, making it necessary to keep KGs up to date with the latest emerging relations. In order to address these issues, we start from a global graph perspective and propose a novel Heterogeneous graph Embedding framework for Emerging Relation detection (HEER) that learns a classifier from positive and unlabeled instances by utilizing information from both news and KGs. Furthermore, we implement HEER in an incremental manner to timely update KGs with the latest detected emerging relations. Extensive experiments on real-world news datasets demonstrate the effectiveness of the proposed HEER model.
Computer assisted assessment and computer assisted portfolio development in a whole language classroom

This technology project was based on the work of Marie Clay, who developed a form of reading assessment called a running record. A running record is an assessment tool used to measure an individual's reading skills. This project uses Clay's running record ideas to create an electronic running record and it also incorporates portfolio assessment. This project is not an identical copy to Clay's running records. Some modifications and additions were necessary in order to facilitate computerized running record assessment. This project hopes to makethe administering of reading assessment,and the handling of assessment data convenient and efficient by using the capabilities of the computer. Software was developed as part of this project to achieve these goals. The software is titled,The Electronic Running Record Assessment tool(TERRA)and is included in this project.
DESIGN AND TEST GENERATION FOR CLOCK SKEW FAULTS OF CLOCK-DELAYED DOMINO LOGIC CIRCUITS

Dynamic circuits are widely used in today’s high-performance microprocessors for obtaining timing goals that are not possible using static CMOS circuits. Domino implementations are faster because of their smaller input capacitance, lower switching thresholds, and the availability of efficient high fan-in gates. As internal processor frequencies reach into the gigahertz range, faster circuit techniques such as clockdelayed dynamic logic was used extensively on the first CMOS microprocessor to reach 1GHz. Clock-delayed domino logic (CDDL), which can realize both inverting and non-inverting gates through the use of a self-delayed clock tree, provides any logic function to overcome such a one-way transition drawback. This thesis describes a clocking methodology of clock-delayed dynamic logic and implements a 32-bit look-ahead adder to show how the clock-delayed dynamic circuit works. CDDL has greater performance than standard domino logic, because the carefully designed clocking scheme takes pipeline advantages, by which pre-charge phase and evaluation phase are overlapped to make time borrowing. In a high-performance custom CDDL design, clock delay at each stage is fit well with the worst case delay of its previous logic level. But, due to process parameter variations and clock-tree delay, clock skews cause logic failure in CDDL. We propose a positive skew and negative skew fault model for the logic fault induced by clock skews, and analyze the fault behaviors. We take Benchmark85 circuits as experiment circuits, and design a test generation scheme. With the aid of EDA tools, we generate the test patterns to detect the clock skews faults. Experiment results show that the fault model and test generation method are correct and efficient to accomplish the goal of high fault coverage.
Barriers to the labour market for unemployed graduates in South Africa

ABSTRACT Graduate unemployment has increasingly been the topic of research interest as it grows in many countries. In many such contexts, the massification of higher education and the global economic recession of the late 2000s explain the challenge. The situation differs in South Africa. Graduate unemployment rates are low owing to the high demand for skilled labour. However, certain groups of graduates continue to struggle to find employment. While previous research has described which graduates are more vulnerable to unemployment, few studies have assessed the reasons for their struggle. We address this gap by presenting data from a mixed methods study, which included a sub-sample of unemployed graduates, on the barriers these graduates face. The findings show that lack of relevant work experience, limited information about an efficient job search, low social capital, and high costs of work-seeking create obstacles to securing work. We reiterate recommendations from prior research that calls for better integration of qualifications with practical work experience, but also contend that accessible work-seeker support can mitigate the negative effects of the identified barriers. Such investments are critical to ensuring that significant investments in post-secondary education and training on the part of both the state and the individual graduate are realised.
Who Manages the Firm Matters: The Incremental Effect of Individual Managers on Accounting Quality

I investigate whether individual managers have an incremental effect on firms' accounting quality (AQ) after controlling for known determinants of AQ, time fixed effects, and firm fixed effects. To identify the manager-specific effect on firm AQ, I construct a dataset that tracks the movement of 907 managers across firms over the period 1992–2014. Results indicate that individual manager fixed effects explain a statistically and economically significant proportion of the cross-sectional variation in AQ, which is comparable to that of firm fixed effects. Variation in managerial attributes that impact AQ is applied consistently as firms switch manager-type. Using a setting of exogenous CEO turnover, I find managerial idiosyncrasies impact AQ and are not merely a reflection of firms actively choosing managers with a desired combination of managerial attributes that, in turn, impact the variability of accruals. Overall, my study underscores the importance of individual managers in the determination of AQ. Data Availability: Data used in this study are publicly available from sources identified in the text.
Smart Blind Guidance System

Science and technology always try to make human life easier. So the main purpose of this paper is based on developing a navigation aid for blind and visually impaired people. In this paper, we design and implement a smart blind guidance system to help both blind and visually impaired people to navigate alone safely and to avoid any obstacles (fixed or moving) that may be encountered to prevent any possible accident. The location of the blind and real-time assistance is determined via GPS and GSM modules. Our proposed system includes a wearable equipment consists of a hat and mini hand stick. The implemented system is simple, fast, cheap, and friendly user.
Audit Adjustments and Public Sector Audit Quality

In the context of austerity-inspired reforms to public audit in England we investigate the extent to which audit firms mitigate management bias in public sector financial reports. A substantial body of literature finds that both public and not-for-profit managers manage ? earnings? to report small surpluses close to zero by managing deficits upwards and surpluses downwards. Under agency theory, auditors acting in the interests of their principal(s) would tend to reverse this bias. We exploit privileged access to pre-audit financial statements in the setting of the English National Health Service (NHS) to investigate the impact of audit adjustments on the pre-audit financial statements of English NHS Foundation Trusts over the period 2010? 2011 to 2014? 2015. We find evidence that auditors act to reverse management bias in the case of Trusts with a pre-audit deficit, but find no evidence that this is the case for Trusts with a pre-audit surplus. In the case of Trusts in surplus, these findings are consistent with auditors? interests being aligned with management, rather than principals.