Miracle-dz/UniFAR-FTUs huggingface dataset:
Fama-French Çok Faktör Varlık Fiyatlama Modellerinin Performanslarının Karşılaştırılması: Borsa İstanbul Üzerine Bir Uygulama

Hisse senedi getirilerindeki degisimi aciklayan faktorlerin neler oldugunun ortaya koyulmasi, finans literaturundeki onemli arastirma konulari arasinda yer almaktadir. Bu baglamda, Fama ve French, piyasa, buyukluk ve deger faktorlerinden olusan uc faktorlu varlik fiyatlama modeline (FF3F), kârlilik ve yatirim faktorlerini de ekleyerek bes faktorlu bir varlik fiyatlama modeli (FF5F) gelistirmislerdir. Bu model, ABD basta olmak uzere, cesitli gelismis ulke piyasalarinda test edilmis ve modelin getirilerdeki degisimin aciklanmasindaki basarisi kanitlanmistir. Ancak bu modelin, gelismis ulke piyasalarindan farkli dinamiklere sahip olan gelismekte olan ulke piyasalarinda gecerli olup olmadigi ile ilgili arastirmalarda eksiklikler vardir. Bu calismada, Turkiye hisse senedi piyasasi icin, FF5F’nin gecerli olup olmadiginin incelenmesi ve FF5F’nin CAPM ve FF3F basta olmak uzere diger alternatif modellere gore ne kadar basarili performans gosterdiginin test edilmesi amaclanmistir. Bu amac dogrultusunda, Ocak 2005 - Haziran 2017 tarihleri arasi 150 aylik donemde, 18 adet kesisim portfoyunun getirileri uzerinden analizler yapilmistir. Regresyon analizlerinden elde edilen sabit terimlerin mutlak degerlerinin ortalamasi, ortalama duzeltilmis R2 degerleri, GRS–F test istatistik ve p-degeri sonuclari degerlendirildiginde, FF5F’in Turkiye hisse senedi piyasasinda diger alternatif modellerden daha iyi performans gosterdigi bulgusuna ulasilmistir.
SYSTEM DESIGN FOR E-MENTOR SUPPORT SYSTEM WITH PREDICTION OF LEARNING STYLE

As online education expands, there has been an emphasis on the importance of mentoring for quality education. The more meaningful and customized supports mentors provide, the larger their burdens become. This study aims to design a mentor support system to reduce mentors’ burden in predicting learners’ behaviors and learning styles prior to a course. For the learner type prediction, the authors developed an e-Learning Self-regulated Learning Scale (eSLS) (Goda, et al., 2010). It was based on the sample items of Wolters, et al. (2003) and consisted of 40 Likert items with 4 factors: (1) affective strategies, (2) cognitive strategies, (3) help-seeking, and (4) self-Independency. This paper reports and discusses the research background and procedures for the instrument development, prediction model equation formulation, and interface design for mentors. The significance of this research is to introduce a new approach to improve online learner supports from the perspective of mentor-supports.
The impact of individual learner characteristics and synchronous computer-mediated communication on language production in learners of english

As computer technology advances rapidly in the past decades, incorporating computer technology into classroom teaching has been popular, especially in the area of foreign language education because of its potential benefits. Among computer technology, computer mediated communication (henceforth, CMC) is widely used in language classrooms for its benefits, for example, more equal participation, a less stressful learning environment, and increased output (Chun, 1998; Kern, 1995; Warschauer, 1996). In addition, due to the hybrid nature of CMC, learners are allowed to have more time to process input, monitor and edit output (Kelm, 1992; Warschauer, 1996) resulting in more accurate and complex language production compared to face-to-face conversation. (Beauvois, 1992, 1995; Kern, 1995; Pellettieri, 2000; Sotillo, 2000; Warschauer, 1995, 1996). Several studies examined another benefits of CMC - the development of oral proficiency (Abrams, 2003; Beauvois, 1998b; Payne & Whitney, 2002; Kost, 2004); however, the results of these studies are consistent, suggesting that oral proficiency may be enhanced by synchronous online discussion. Instead of investigating whether synchronous CMC is beneficial for all students, the present study aims to investigate the extent to which the factors such as personality types, amount of participation and previous experience using chat contribute most to the development of oral skills. That is, the present study focuses on individual, affective variables that could affect the effects of CMC on spoken language development among beginning learners of English. Employing a pre and post one-group comparison design, 16 students participated in the study and their oral skills were measure by two interviews and the interviews were scored by a native speaker informant and the researcher based on the scoring rubric that was adopted from the previous study (Payne & Whitney, 2002). The results of repeated measures ANOVA revealed none of factors identified in the study were statistically significant. The results, however, should be interpreted that the use of CMC in language classroom does not disservice any group of students with a specific personality type or previous experience using chat. With numerous benefits known, chatting remains a valuable pedagogical tool to promote second language learning.
Robust covariance estimation under $L_{4}-L_{2}$ norm equivalence

Let $X$ be a centered random vector taking values in $\mathbb{R}^d$ and let $\Sigma= \mathbb{E}(X\otimes X)$ be its covariance matrix. We show that if $X$ satisfies an $L_4-L_2$ norm equivalence, there is a covariance estimator $\hat{\Sigma}$ that exhibits the optimal performance one would expect had $X$ been a gaussian vector. The procedure also improves the current state-of-the-art regarding high probability bounds in the subgaussian case (sharp results were only known in expectation or with constant probability). In both scenarios the new bound does not depend explicitly on the dimension $d$, but rather on the effective rank of the covariance matrix $\Sigma$.
A Survey of Digital Library Education.

The concept of digital library has several differing interpretations, derived from different communities involved in digital library research, practice, organization, and commerce. Educational offerings followed these activities. The major aim of the paper is to present results from a survey on the current state of digital library education in academic institutions. But we also examine the rationale and orientation for digital library education. We suggest several models that have emerged in the teaching of digital libraries and in incorporation of relevant topics into various curricula.
The last phonological rule : reflections on constraints and derivations

Over the past three decades, phonological theory has advanced in many areas, but it has changed little in its foundational assumptions about how computational processes can serve as a basis for the theory. This volume suggests that it may be worthwhile to reconsider some of those assumptions. Is there an order to the rules in a phonological derivation? What kinds of links other than derivations are possible between the level of mental representation and the level of speech sounds? Since phonological representations are so much more sophisticated today than they were a few decads ago, do we need any phonological rules at all? In this provocative book, leading linguists and computer scientists consider the challenges that computational innovations pose to current rule-based phonological theories and speculate about the advantages of phonological models based on artificial neural networks and other computer designs. The authors offer new conceptions of phonological theory for the 1990s, the most radical of which proposes that phonological processes cannot be characterized by rules at all, but arise from the dynamics of a system of phonological representations in a high-dimensional vector space of the sort that a neural network embodies. This new view of phonology is becoming increasingly attractive to linguists and others in the cognitive sciences because it answers some difficult questions about learning while drawing on recent results in philosophy, psychology, artificial intelligence, and neuroscience. The contributors are John A. Goldsmith, Larry M. Hyman, George Lakoff, K. P. Mohanan, David S. Touretzky, and Deirdre W. Wheeler.
Issues in Accents of English

Adopting a central theme of variability, the book explores different aspects of native and non-native accents of English. The dominating perspective is that of a non-native speaker, although - as argued by some contributors - the very distinction between native and non-native English may need to be redefined. As the debate on the pronunciation of English as a lingua franca continues, this volume presents well-focused studies investigating the acquisition and use of the sound system by native and non-native speakers, problems with the choice and variability in pronunciation models and pedagogical aspects of pronunciation instruction. The issue of accents calls for a comprehensive approach; this book aims to provide such a broad perspective, based on expertise and experience of the contributors, who are specialist in linguitics, applied linguitics, phonetics, phonology and ESL. The book is divided into three parts. Part one discusses complex conditioning of production and perception of native and non-native accents. It contains acoustic and auditory studies investigating the effect of such independent variables as identity, L1 or contextual factors on the elements of the sound system. Part two links the accent variability studies to the pedagogical context by presenting problems with the pronunciation model, its choice and variability. The main focus of part three is on pronunciation teaching: papers presented in this section report on the methods and results of phonetic instruction in different settings.
Bayesian Variable Selection in High-dimensional Applications

markdownabstract__Abstract__ Advances in research technologies over the past few decades have encouraged the proliferation of massive datasets, revolutionizing statistical perspectives on high-dimensionality. Highthroughput technologies have become pervasive in diverse scientific disciplines and continued to generate data of increasingly complex phenomena, altering the course of statistical developments both in methodology and theory. A major focus of the intensive methodological research has centered around variable selection, which has become fundamental to knowledge extraction from such challenging data. The problem of variable selection refers to the statistical endeavor of selecting a subset of observed characteristics, which collectively provide a good description of an observed phenomenon. Of particular interest are settings where such a subset is parsimonious.
A Bayesian Analysis of Strategies in Evolutionary Biology

Most work done in philosophy of experiment has focused on experiments taken from the domain of physics. The present essay tests whether Allan Franklin’s (1984, 1986, 1989, 1990) philosophy of experiment developed in the context of high energy physics can be extended to include examples from evolutionary biology, such as H. B. D. Kettlewell’s (1935, 1956, 1958) famous studies of industrial melanism in the peppered moth, Biston betularia. The analysis demonstrates that many of the techniques used by evolutionary biologists exemplify the strategies Franklin lists, and identifies an additional strategy that can likewise be justified by appeal to Bayes’s Theorem.
Food selectivity and processing by the cold-water coral Lophelia pertusa

Abstract. Cold-water corals form prominent reef ecosystems along ocean margins that depend on suspended resources produced in surface waters. In this study, we investigated food processing of 13C and 15N labelled bacteria and algae by the cold-water coral Lophelia pertusa. Coral respiration, tissue incorporation of C and N and metabolically derived C incorporation into the skeleton were traced following the additions of different food concentrations (100, 300, 1300 µg C L−1) and two ratios of suspended bacterial and algal biomass (1 : 1, 3 : 1). Respiration and tissue incorporation by L. pertusa increased markedly following exposure to higher food concentrations. The net growth efficiency of L. pertusa was low (0.08 ± 0.03), which is consistent with its slow growth rate. The contribution of algae and bacteria to total coral assimilation was proportional to the food mixture in the two lowest food concentrations, but algae were preferred over bacteria as a food source at the highest food concentration. Similarly, the stoichiometric uptake of C and N was coupled in the low and medium food treatment, but was uncoupled in the high food treatment and indicated a comparatively higher uptake or retention of bacterial carbon as compared to algal nitrogen. We argue that behavioural responses for these small-sized food particles, such as tentacle behaviour, mucus trapping and physiological processing, are more likely to explain the observed food selectivity as compared to physical–mechanical considerations. A comparison of the experimental food conditions to natural organic carbon concentrations above CWC reefs suggests that L. pertusa is well adapted to exploit temporal pulses of high organic matter concentrations in the bottom water caused by internal waves and downwelling events.
COLLABORATIVE FILTERING RECOMMENDER SYSTEMS IN MUSIC RECOMMENDATION

Nowadays, the primary place of information exchange is the internet. Its features, such as: availability, unlimited capacity and diversity of information influenced its unrivalled popularity, making the internet a powerful platform for storage, dissemination and retrieval of information. On the other hand, the internet data are highly dynamic and unstructured. As a result, the internet users face the problem of data overload. Recommender systems help the users to find the products, services or information they are looking for. The article presents a recommender system for music artist recommendation. It is composed of user-based as well as item-based procedures, which can be selected dynamically during a user's session. This also includes different similarity measures. The following measures are used to assess the recommendations and adapt the appropriate procedure: RMSE, MAE, Precision and Recall. Finally, the generated recommendations and calculated similarities among artists are compared with the results from LastFM service.
Numerical analysis of the aerodynamic noise prediction in direct numerical simulation and large eddy simulation

This thesis presents the rigorous numerical analysis of the aerodynamic noise generation via Lighthill acoustic analogy, [36], which is a non-homogeneous wave equation describing the sound waves. Over more than five decades, the Lighthill analogy was extensively used as one of the major tools in engineering applications in acoustics. However, the first mathematical research of the Finite Element approximation for it is introduced here. Specifically, we focus on both Direct Numerical and Large Eddy Simulations. The more or less intuitive derivation of the Lighthill analogy is reviewed in section 1.3. First, the semidiscrete and fully discrete Finite Element methods in DNS are presented and the effect of the computational error in the right-hand side of the wave equation is pointed out. The convergence of this error to zero is studied in the semidiscrete case. The computational results support obtained theoretical predictions. Second, the numerical analysis, using the negative norms of the error, is presented in the semidiscrete case. The negative norms help obtain better convergence rate and require less regularity of the data than positive norms. Third, the sound power is defined as a non-linear functional of acoustic variables and three independent ways of computing it in the semidiscrete case in DNS are presented. All of these methods are based on the Finite Element scheme presented earlier. The methods are compared from the point of view of computational cost, accuracy and simplicity. Again, the computational experiments are presented. Finally, the concept of Large Eddy Simulation is introduced for aeroacoustic research via Lighthill analogy. Two subgrid scale models, these are van Cittert deconvolution and Bardina, are presented for the filtered acoustic analogy. The semidiscrete Finite Element Method is analyzed for both of them. We present the numerical experiments for this research as well.
THE DYNAMICS OF THE OUTER PARTS OF ω CENTAURI

The multi-object fiber-fed spectrograph AAOmega at the Anglo-Australian Telescope has been used to establish and measure accurate (≤1 km s–1) radial velocities for a new sample of members in the outer parts of the stellar system ω Centauri. The new sample more than doubles the number of known members with precise velocities that lie between 25' and 45' from the cluster center. Combining this sample with earlier work confirms that the line-of-sight velocity dispersion of ω Cen remains approximately constant at ~6.5 km s–1 in the outer parts of the cluster, which contain only a small fraction of the total cluster stellar mass. It is argued that the approximately constant velocity dispersion in the outer regions is most likely a consequence of external influences, such as the tidal shock heating that occurs each time ω Cen crosses the Galactic plane. There is therefore no requirement to invoke dark matter or non-standard gravitational theories.
The Science of Knowledge: With the First and Second Introductions

Preface On the translation Glossary Introduction to the science of knowledge Foundations of the entire science of knowledge Preface Part I. Fundamental Principles of the Entire Science of Knowledge: 1. First, absolutely unconditional principle 2. Second principle, conditioned as to content 3. Third principle, conditioned as to form Part II. Foundation of Theoretical Knowledge: 4. First discourse Part III. Foundation of Knowledge of the Practical: 5. Second discourse 6. Third discourse 7. Fourth discourse 8. Fifth discourse 9. Sixth discourse 10. Seventh discourse 11. Eighth discourse Index.
A fast webcam photogrammetric system to support optical imaging of brain activity

Optical topography (OT) is an emerging neuroimaging technique utilising the tight coupling between neural activity and regional cerebral blood flow to monitor relative regional changes of haemoglobin concentration. OT systems are compact, low cost, easily portable, and relatively tolerant of body movements enabling clinical diagnosis, psychological experiments and even monitoring brain activities during daily living. There is a requirement for such systems to present their output functional data in a brain model based coordinate space in order to map to the signal source with brain anatomy. However OT data are obtained from a network of OT sensing devices (optodes) placed in contact with the head surface and cannot capture structural information of the underlying brain which might otherwise be used for registration. An appropriate registration method, widely used in Electroencephalography (EEG), is the 10-20 system which utilises bony landmarks as common points to co-register locations on the scalp with a brain model to a repeatability of a few millimetres in clinical applications to an MRI set of reference points. Inheriting the low cost and portability of OT, this thesis develops and validates a novel registration approach utilising off-the-shelf webcam technology in combination with photogrammetric bundle adjustment techniques in order to reliably coordinate targets on optodes and bony landmarks within the 10:20 reference frame to an accuracy of better than 1mm. Initial research includes an assessment of the 3D coordination accuracy, precision and stability of a series of low cost webcams in order to prove their suitability for clinical applications. Results demonstrate the capability of a system based on these cameras to reliably coordinate 3D target locations to the order of 0.5mm and better. Difficulties in automated clinical target image extraction due to poor image quality are circumvented through the development of new target image detection methods. Incremental improvements in image quality from successive webcam generations, up to and including the latest HD systems, are shown to increase coordination accuracy by one order of magnitude. The result is a novel webcam photogrammetric system that is able to rapidly and consistently coordinate targets on optodes and bony landmarks to better than 1mm in OT studies and is able to take advantage of the rapid advances being made in consumer webcam technology. The system is proven in pre-clinical studies to evaluate its coordination accuracy and in simulated clinical OT studies with a head-sized phantom conducted in collaboration with Department of Medical Physics and Bioengineering. Clinical OT studies with human subjects, demonstrate the capability of the system to continuously coordinate targets on optodes and scalp and detect differential movement between optodes and scalp which would invalidate a static registration procedure.
Because Writing Matters: Improving Student Writing in Our Schools

Preface. The Authors. INTRODUCTION: Why Writing Matters. ONE: Improving Student Writing: Challenges and Expectations. TWO: Learning to Write. THREE: Writing to Learn. FOUR: Professional Development. FIVE Standards and Assessments for Writing. SIX: What Administrators Can Do to Create Effective Writing Programs. Notes. Bibliography. Index.
The Impact of Corporate Taxation on Foreign Direct Investment: a Survey

This paper reviews the literature on factors influencing the allocation of foreign direct investments, with respect to the significant role of corporate taxation policy. The review includes BucovetskyA­s tax competition model where countries are assumed to be asymmetric. Empirical studies of Sâˆ rensen (2000), Root and Ahmed (1978), Mooij and Ederveen (2003) are touched upon in the survey. The paper helps to understand the importance of tax policy in attracting foreign investments to the country. The survey assumes effective enforcement to highlight the impact of taxation on foreign investment.
PENGARUH SISTEM PEMASARAN DIGITAL MARKETING TERHADAP PENINGKATAN VOLUME PENJUALAN HASIL INDUSTRI RUMAHAN

Perkembangan teknologi informasi yang berkembang sangat pesat saat ini berpengaruh bagi masyarakat dalam mendukung berbagai kegiatan bisnis baik besar maupun kecil agar dapat dikenal secara global. Dampak yang paling nyata adalah selain dikenal juga dapat meningkatkan volume penjualan dan profit. Digital Marketing adalah salah satu media pemasaran yang sangat besar memberikan pengaruh. Dengan menggunakan digital marketing dalam hal ini adalah sosial media, ibu-ibu PKK di RW 02 Randuagung Singosari Malang memasarkan hasil indutri rumahan berupa kerajinan tangan tas dari bungkus minuman instan. Awalnya kegiatan ini hanya sebagai pengisi waktu luang, tetapi saat ini justru menjadi kegiatan utama sebagai penambah perputaran ekonomi dalam rumah tangga. Dahulu kegiatan penjualan hasil industri ini secara konvesional maupun tradisiona, mereka membuat produk hanya berdasarkan pesanan. Tetapi setelah mengenal adanya sosial media ibu-ibu PKK ini sudah mulai menerima banyak pesanan, sehingga volume penjualan semakin meningkat pesat dibandingkan saaat penjualan dengan cara lama. Digital marketing dipandang sebagai media yang paling baik sebagai sarana promosi yang paling efektif dan efisien serta mampu meningkatkan volume penjualan yang signifikan, dari pendapatan perbulan bersih Rp. 1.000. 000,- s.d. Rp. 1.500. 000,- sekarang bisa mencapai Rp. 2.000. 000 s.d. 3.500. 000,- (100%).
Principles of Random Signal Analysis and Low Noise Design: The Power Spectral Density and its Applications

Preface. About the Author. Introduction. Background: Signal and System Theory. The Power Spectral Density. Power Spectral Density Analysis. Power Spectral Density of Standard Random Processes--Part 1. Power Spectral Density of Standard Random Processes--Part 2. Memoryless Transformations of Random Processes. Linear System Theory. Principles of Low Noise Electronic Design. Notation. References. Index.