Miracle-dz/UniFAR-FTUs huggingface dataset:
Graph-based Estimation of Information Divergence Functions

Information divergence functions, such as the Kullback-Leibler divergence or the Hellinger distance, play a critical role in statistical signal processing and information theory; however estimating them can be challenge. Most often, parametric assumptions are made about the two distributions to estimate the divergence of interest. In cases where no parametric model fits the data, non-parametric density estimation is used. In statistical signal processing applications, Gaussianity is usually assumed since closed-form expressions for common divergence measures have been derived for this family of distributions. Parametric assumptions are preferred when it is known that the data follows the model, however this is rarely the case in real-word scenarios. Non-parametric density estimators are characterized by a very large number of parameters that have to be tuned with costly cross-validation. In this dissertation we focus on a specific family of non-parametric estimators, called direct estimators, that bypass density estimation completely and directly estimate the quantity of interest from the data. We introduce a new divergence measure, the Dp-divergence, that can be estimated directly from samples without parametric assumptions on the distribution. We show that the Dp-divergence bounds the binary, cross-domain, and multi-class Bayes error rates and, in certain cases, provides provably tighter bounds than the Hellinger divergence. In addition, we also propose a new methodology that allows the experimenter to construct direct estimators for existing divergence measures or to construct new divergence measures with custom properties that are tailored to the application. To examine the practical efficacy of these new methods, we evaluate them in a statistical learning framework on a series of real-world data science problems involving speech-based monitoring of neuro-motor disorders.
Dynamic resource management of cloud-hosted internet applications

Internet is evolving toward service-oriented computing platforms (e.g., cloud computing platforms, such as Amazon EC2 and Microsoft Azure). In these platforms, service providers (owners of the platforms) offer resource pools by building multiple geo-distributed data centers; application providers (owners of the applications) outsource the hosting of their applications to these platforms, and pay by the amount of resources used as utility. These multi-tenant platforms need to dynamically allocate resources to applications so as to meet their demand variation. In this thesis, we address several issues of the dynamic resource management in these platforms. On the one hand, we consider the resource provisioning problems within data centers. In order to allocate resources to applications quickly, we propose deploying ghost virtual machines (VMs) which host spare application instances across the physical machines. When an application needs more instances, we can configure the request distributer to forward requests to ghost VMs, which takes only 5-7 seconds. Also, to deal with the scalability issues in mega data center (with hundreds of thousands of servers), we introduce hierarchical resource management scheme in which servers are divided into groups (pods), each with about 5k servers, and existing techniques are employed to manage resources in each pod efficiently. Meanwhile, multiple strategies are explored to balance the load among the pods. In addition, we also propose a new data center architecture in which we can apply DNS-based mechanism to balance the load among the access links which connect data center to Internet. On the other hand, we address the resource management problems among multiple data centers. We proposed a unified approach to decide in how many/which data centers each application should be deployed, and how client requests are forwarded to the geo-distributed service replicas. We make these decisions based on a min-cost network flow model, and apply a novel demand clustering technique to overcome the scalability issue when solving the min-cost problem. Furthermore, we also introduce a new client-side DNS architecture which brings local DNS server close to clients so that DNS-based server selection can precisely choose close service replicas for clients.
Öğretmenlerin Örgütsel Adalet ve Örgütsel Güven Algıları Arasındaki İlişkinin İncelenmesi

Yapilan bu calismanin amaci ogretmenlerin orgutsel adalet ve orgutsel guven algilarini incelemektir. Ayrica bu algilarini etkileyen faktorleri belirlemek ve artirilmasina yonelik neler yapilabilecegini arastirmak da amaclanmistir. Arastirma karma desen olarak tasarlanmistir. Karma desenlerden acimlayici sirali desen tercih edilmistir. Oncelikle nicel verilere ulasilmistir. Nicel veriler dogrultusunda nitel veriler elde edilmistir. Arastirmanin nicel kismina 170, nitel kismina ise 18 ogretmen katilmistir. Veri toplama araci olarak Niehoff ve Moorman (1993) tarafindan gelistirilen ve Polat (2007) tarafindan Turkceye uyarlanan Orgutsel Adalet Olcegi ve Daboval, Comish, Swindle ve Gaster (1994) tarafindan olusturulan Kamer (2001) tarafindan Turkceye uyarlanan ve Polat (2007) tarafindan gecerlik ve guvenirlik calismalari tekrar yapilan “Okullarda Orgutsel Guven Olcegi” kullanilmistir. Yapilan analizler sonucunda orgutsel adaletin orgutsel guveni anlamli duzeyde yordadigi sonucuna ulasilmistir. Ayrica ogretmenlerin orgutsel adalet duzeylerinin yuksek, orgutsel guven duzeylerinin ise orta duzeyde oldugu tespit edilmistir.
The Market Resources Method for Solving Dynamic Optimization Problems

We introduce the market resources method (MRM) for solving dynamic optimization problems. MRM extends Carroll’s (2006) endogenous grid point method (EGM) for problems with more than one control variable using policy function iteration. The MRM algorithm is simple to implement and provides advantages in terms of speed and accuracy over Howard’s policy improvement algorithm. Codes are available.
The Double Helix A Personal Account Of The Discovery Of The Structure Of Dna

Thank you for downloading the double helix a personal account of the discovery of the structure of dna. As you may know, people have look numerous times for their favorite readings like this the double helix a personal account of the discovery of the structure of dna, but end up in infectious downloads. Rather than enjoying a good book with a cup of tea in the afternoon, instead they are facing with some malicious virus inside their laptop.
Advanced Structural Ceramics

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L2 English article use by L1 speakers of article-less languages: A learner corpus study

This paper adopts the Integrated Contrastive Model (Granger 1996) to an examination of the use of articles in the L2 English written production of L1 speakers of three article-less languages (Mandarin Chinese, Korean and Thai) across four L2 proficiency levels. Data is sourced from the International Corpus Network of Asian Learners of English (ICNALE; Ishikawa 2011, 2013), comprising 575 written essays totalling 125,588 words across two writing prompts. Accuracy of zero, indefinite and definite articles is measured using Pica’s (1983) Target Language Use across Bickerton’s (1981) semantic/pragmatic article contexts (generic, specific definite, specific indefinite and non-specific indefinite). The results show two different orders of article accuracy depending on L1 background, as well as effects of writing prompt on the accuracy of certain article forms, and evidence of pseudo-longitudinal development for particular article usages as L2 proficiency increases, although not in all cases. Massive overproduction of indefinite/definite articles in generic contexts is problematic for all three L2 groups regardless of L1 background and L2 proficiency. However, Mandarin L2 English users appear to enjoy a significant advantage in L2 article accuracy over Korean or Thai L2 English users in almost all contexts of use and L2 proficiency levels, providing further potential evidence that the often reported grammaticalisation of definiteness/specificity markers in L1 Mandarin is aiding Mandarin L2 English users’ acquisition of the English article system.
The Effects of a Badminton Content Knowledge Workshop on Middle School Physical Education Teachers' Pedagogical Content Knowledge and Student Learning

A majority of studies have argued that content knowledge (CK) is related to the development of pedagogical content knowledge (PCK). Yet few studies have examined this relationship directly. Moreover, many of the studies have not functionally identified what PCK is, and under what conditions PCK develops. In the absence of a functional definition of PCK, there has been a significant problem in discussing and using PCK in research and in practice (Amade-Escot, 2000). Ward’s (2010) definition of PCK has allowed researchers to observe and measure PCK; however, several questions remain unanswered relative to PCK. The most important are: “Is there a causal relationship (a) between CK and PCK; and (b) between PCK and student achievement? ” These questions can be answered using experimental analysis only by manipulating the level of teachers’ CK to determine if there are changes in teachers’ PCK and subsequent changes in student learning. Therefore, the purpose of the study was to investigate the effects of a CK workshop on teachers’ PCK and student achievement in a badminton unit. A quasi-experimental design with two middle school PE teachers as a block was used to examine the change of teachers’ teaching behaviors and student learning behaviors in their intact classes before and after a badminton CK workshop in a natural PE setting. The subsequent teachers’ PCK variables were measured by a video analysis method: the maturity of task representation, the appropriateness of task selection, and the adaptations of tasks between and within the tasks. For the students’ performance data, students’ correct and incorrect trials on skills and tactics and other trials (i.e., unfair opportunity, missed opportunity, and non-target performance) were measured using a live coding method during practice and game play. For the analysis of teachers’ dependent variables, descriptive statistics (i.e., means and ranges) were used for both the comparison and the experimental classes. For the analysis of students’ dependent variables, descriptive statistics (i.e., means and ranges) and inferential statistics (i.e., non-parametric tests) were used for both the comparison and the experimental classes. The results of the descriptive and inferential statistics on student data showed that the improved teachers’ PCK as a function of CK influence the increase of student’s correct trials and the decrease of students’ incorrect trials in badminton. The results of the descriptive analysis of teachers’ data showed that teachers’ PCK variables including task maturity, task appropriateness and task adaptations can be changed from immature to mature as a function of teachers’ CK. The findings of the study suggest that the teacher education programs for preservice and inservice teachers should improve teacher’s CK with specific practices and relevant and specific feedback on teaching that influences teachers’ PCK and student learning.
Research of using an improved ant colony algorithm to solve TSP

An improved ant colony algorithm was proposed, whose cores were that using the genetic algorithm(GA) to optimize the control parameters of the ACA (α、β、ρ、q0) and applying MMAS to routing. The new algorithm (ACAGA) is characterized by good global search capability. We use it to solve TSP (traveling salesman problem). Simulation results show that ACAGA is superior to conventional ACA and GA in quality and efficiency.
Weight parameterizations in deep neural networks

Les reseaux de neurones multicouches ont ete proposes pour la premiere fois il y a plus de trois decennies, et diverses architectures et parametrages ont ete explores depuis. Recemment, les unites de traitement graphique ont permis une formation tres efficace sur les reseaux neuronaux et ont permis de former des reseaux beaucoup plus grands sur des ensembles de donnees plus importants, ce qui a considerablement ameliore le rendement dans diverses tâches d'apprentissage supervise. Cependant, la generalisation est encore loin du niveau humain, et il est difficile de comprendre sur quoi sont basees les decisions prises. Pour ameliorer la generalisation et la comprehension, nous reexaminons les problemes de parametrage du poids dans les reseaux neuronaux profonds. Nous identifions les problemes les plus importants, a notre avis, dans les architectures modernes : la profondeur du reseau, l'efficacite des parametres et l'apprentissage de tâches multiples en meme temps, et nous essayons de les aborder dans cette these. Nous commencons par l'un des problemes fondamentaux de la vision par ordinateur, le patch matching, et proposons d'utiliser des reseaux neuronaux convolutifs de differentes architectures pour le resoudre, au lieu de descripteurs manuels. Ensuite, nous abordons la tâche de detection d'objets, ou un reseau devrait apprendre simultanement a predire a la fois la classe de l'objet et l'emplacement. Dans les deux tâches, nous constatons que le nombre de parametres dans le reseau est le principal facteur determinant sa performance, et nous explorons ce phenomene dans les reseaux residuels. Nos resultats montrent que leur motivation initiale, la formation de reseaux plus profonds pour de meilleures representations, ne tient pas entierement, et des reseaux plus larges avec moins de couches peuvent etre aussi efficaces que des reseaux plus profonds avec le meme nombre de parametres. Dans l'ensemble, nous presentons une etude approfondie sur les architectures et les parametrages de poids, ainsi que sur les moyens de transferer les connaissances entre elles
Compact DNSSEC Denial of Existence or Black Lies

This document describes a technique to generate valid DNSSEC answers on demand for non-existing names by claiming the name exists and returning a NSEC record for it. These answers require only one NSEC record and allow live-signing servers to minimize signing operations, packet size, disclosure of zone contents and required knowledge of the zone layout.
Writing to Learn: Blogging about Language Arts and Social Studies in a Grade 5 Classroom

Research has shown that writing to learn can support discipline-specific learning and thought development. Traditional writing strategies such as essays and journaling have been found to have a positive impact on recall of information, concept analysis and application. However, interaction with readers is not immediate with these methods. An environment where writers can immediately adapt to their readers’ feedback and become conversation partners for one another is the blogosphere. The purpose of this chapter is to describe how fifth-grade writers engaged in blog conversations with an audience beyond the classroom walls about their learning in language arts (LA) and social studies (SS) classes. The chapter also analyzes the ways in which feedback from the audience facilitated the fledgling writers’ “learning to write and writing to learn. ”
Bank performance in Middle East

Στόχος της παρούσας διπλωματικής eργασίας eίναι διττός. Πρώτον, eπιχeιρeί να αναλύσeι την eπίδραση του κινδύνου στα eπίπeδα αποτeλeσματικότητας των τραπeζών. Δeύτeρον, eπιδιώκeι να προσδιορίσeι την eπίδραση του μeγέθους στην eπίδοση των τραπeζών λαμβάνοντας υπόψη και τις eνδeχόμeνeς συνέπeιeς αναποτeλeσματικότητας διαχeίρισης του κινδύνου. Η eκπλήρωση των στόχων της μeλέτης βασίζeται στις eκτιμήσeις αποτeλeσματικότητας που υπολογιστήκαν μe την μέθοδο Βέλτιστων Προτύπων Αποδοτικότητας, υποθέτοντας eτeρογένeια και ομοιογένeια τραπeζών. Το σύνορο της διαμeσολαβητικής χρηματοοικονομικής παράγωγης πeριγράφeται από μια συνάρτηση απόστασης μe κατeύθυνση και συνδυάζeι τις υποθέσeις αδύναμης και ισχυρής δυνατότητας διαθέσeως του ρίσκου. Η μeθοδολογία eφαρμόστηκe σe στοιχeία των τραπeζών της Μέσης Ανατολής κατά την πeρίοδο 1998 μe 2014. Τα αποτeλέσματα δeίχνουν ότι κατά μέσο όρο οι μικρές τράπeζeς τeίνουν να eίναι πιο αποτeλeσματικές eνώ το μέγeθος τους έχeι πeριορισμένeς eπιπτώσeις στην αναποτeλeσματικότητα και στην διαχeίριση κινδύνων. Αφeνός, η διαχeίριση κινδύνων των μeγάλων τραπeζών διαπιστώνeται ότι eίναι πιο eυέλικτη κατά τη διάρκeια της \\χρηματοπιστωτικής κρίσης. Ωστόσο, οι τράπeζeς μe υψηλότeρα πάγια πeριουσιακά στοιχeία σχeτίζονται μe πιο δαπανηρή διάθeση μη eξυπηρeτούμeνων δανeίων. Αυτή η διαπίστωση μπορeί να δώσeι eξήγηση για την απόρριψη της θeτικής σχέσης μeταξύ τeχνικής αποτeλeσματικότητας και μeγέθους της τράπeζας.
Comparing the impact of traditional and modeling college algebra courses on student performance in survey of calculus

Students in higher education deserve opportunities to succeed and learning environments which maximize success. Mathematics courses can create a barrier for success for some students. College algebra is a course that serves as a gateway to required courses in many bachelor’s degree programs. The content in college algebra should serve to maximize students’ potential in utilizing mathematics and gaining skills required in subsequent math-based courses when necessary. The Committee for Undergraduate Programs in Mathematics has gone through extensive work to help mathematics departments reform their college algebra courses in order to help students gain interest in the utilization of mathematics in solving real-world problems. In many instances, college algebra courses have evolved from a traditional curriculum into a modeling or applied curriculum. Successful completion rates and academic achievement in a survey of calculus course were compared between students who had traditional college algebra content versus modeling college algebra content. Results of statistical analyses between the two types of college algebra content determined that a higher percentage of students successfully completed survey of calculus on their first attempt when they had traditional college algebra content in a prerequisite course than students who had modeling college algebra content. No statistically significant difference was determined in academic achievement in survey of calculus, measured by average GPA of students, between the two types of college algebra content. The results of this study suggest that a higher percentage of students will complete survey of calculus with a grade of C or higher on their first attempt after successfully completing traditional college algebra content versus successfully completing modeling college algebra content; however, academic achievement based on GPA will not be significantly different between students who successfully complete either type of college algebra content. This dissertation is approved for recommendation to the Graduate Council. Dissertation Director: ___________________________________ Dr. Kenda S. Grover Dissertation Committee: ___________________________________ Dr. Ketevan Mamiseishvili ___________________________________ Dr. Kit Kacirek Dissertation Duplication Release I hereby authorize the University of Arkansas Libraries to duplicate this dissertation when needed for research and/or scholarship. Agreed ____________________________ Jerry G. West Refused ___________________________ Jerry G. West
Design Of Integrated Circuits For Optical Communications

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Fast-marching level-set methods for three-dimensional photolithography development

The fast marching method, introduced by Sethian, is a numerical technique for solving the Eikonal equation, and results from combining upwind schemes for viscosity solutions of Hamilton-Jacobi equations, narrow band level set methods, and a fast min-heap algorithm. On a rectangular grid of N total points, the fast marching level set method computes the solution to the Eikonal equation from given initial data in O(N log N) steps. In a series of papers, we have applied this technique to a wide collection of problems, including construction of geodesics on surfaces, computer vision, and shape-from-shading. In this paper, we analyze the application of the fast marching method to photolithography development.
A Course On Optimization And Best Approximation

Thank you very much for downloading a course on optimization and best approximation. Maybe you have knowledge that, people have look hundreds times for their favorite readings like this a course on optimization and best approximation, but end up in infectious downloads. Rather than reading a good book with a cup of coffee in the afternoon, instead they are facing with some malicious virus inside their computer.
Characterization of a Mouse Model of Börjeson-Forssman-Lehmann Syndrome

Plant homeodomain finger protein 6 (PHF6) is a chromatin adaptor protein structurally defined by its two zinc-knuckle-atypical PHD (ZaP) domains. This structural configuration mediates its interaction with dsDNA, miRNA, the nucleosome remodeling and deacetylase (NuRD) complex and regulators of rDNA transcription (Upstream binding factor (UBF) and RNA polymerase-associated factor 1 complex (Paf1C)), ultimately facilitating its role as a chromatin adaptor protein and regulator of gene expression. Mutations in the gene are implicated in Börjeson–Forssman–Lehmann syndrome (BFLS), a rare X-linked intellectual disability disorder characterized by large ears, truncal obesity, and long tapering fingers. BFLS is primarily caused by missense and nonsense mutations while deletions, frameshifts and mutations disrupting the structural integrity of the ZaP domains have been described in T-cell acute lymphoblastic leukemia (T-ALL) and acute myeloid leukemia (AML) patients. To provide more insight into PHF6 and BFLS, we have generated a Phf6 transgenic mouse line with a patientrelated nonsense mutation (R342X). We show that the mutation drastically reduced Phf6 transcript levels and produced a truncated protein at very low levels in the developing brain. Mice were born at normal Mendelian ratios but mutant mice were significantly smaller than control littermates. Volumetric analysis of the brain via high resolution MRI revealed increased sizes of the amygdala, periaqueductal gray, and hypothalamus, and decreased volumes within the striatum, hippocampus and cerebellum. Studies of the pituitary gland revealed a postnatal defect in the growth of the anterior pituitary but not the posterior or intermediate regions. This change was reflected in altered expression levels of several hormones in the hypothalamic-pituitaryadrenal axis. Preliminary behavioral tests highlighted deficits in the anxiety and depression response of the mutant mice. Additional studies to fully characterize these mice are ongoing.