Miracle-dz/UniFAR-FTUs huggingface dataset:
Optimality-Theoretic learning in the Praat program

This tutorial yields a step-by-step introduction to stochastic OT grammars and about how you can use the Gradual Learning Algorithm available in the Praat program to help you rank Optimality-Theoretic constraints in ordinal and stochastic grammars. This tutorial describes how you can draw Optimality-Theoretic tableaus and simulate Optimality-Theoretic learning with the Praat program (Boersma & Weenink 1992-2000). 1. Kinds of OT grammars According to Prince & Smolensky (1993), an Optimality-Theoretic (OT) grammar consists of a number of ranked constraints. For every possible input (underlying form), GEN generates a (possibly very large) number of output candidates, and the ranking order of the constraints determines the winning candidate, which becomes the single optimal output. In OT, ranking is strict, i.e., if a constraint A is ranked higher than the constraints B, C, and D, a candidate that violates only constraint A will always be beaten by any candidate that respects A (and any higher constraints), even if it violates B, C, and D. — Ordinal OT grammars. Because only the ranking order of the constraints plays a role in evaluating the output candidates, the grammar was taken to contain no absolute ranking values, i.e., there was only an ordinal relation between the constraint rankings. For such a grammar, Tesar & Smolensky (1998) devised a learning algorithm (ErrorDriven Constraint Demotion, EDCD) that changes the complete ranking order with every learning step, i.e. whenever the form produced by the learner is different from the adult form. — Stochastic OT grammars. The EDCD algorithm is extremely sensitive to errors in the learning data, it cannot deal with language variation, and it does not show realistic gradual learning curves. For these reasons, Boersma (to appear; 1997; 1998: chs.14–15) proposed stochastic constraint grammars in which every constraint has a ranking value along a continuous ranking scale, and a small amount of noise is added to this ranking value at evaluation time. The associated error-driven learning algorithm (Gradual Learning Algorithm, GLA) effects small changes in the ranking values of the constraints with every learning step. * The text of this paper is virtually identical to the OT learning tutorial and the OTGrammar manual page as available from the Help menus in the Praat program (version December 1998).
GPU classification of remote-sensing images using kernel ELM and extended morphological profiles

ABSTRACT Nowadays, the use of hyperspectral sensors has been extended to a variety of applications such as the classification of remote-sensing images. Recently, a spectral–spatial classification scheme (ELM-EMP) based on Extreme Learning Machine (ELM) and Extended Morphological Profiles (EMPs) computed using Principal Component Analysis (PCA) and morphological operations has been introduced. In this work, an efficient implementation of this scheme over commodity Graphics Processing Units (GPUs) is shown. Additionally, several techniques and optimizations are introduced to improve the accuracy of the classification. In particular, a scheme using an ELM classifier based on kernels (KELM) and EMP is presented (KELM-EMP). Similar schemes adding a spatial regularization process (KELM-EMP-S and ELM-EMP-S) are also proposed. Moreover, two PCA algorithms have been compared in both accuracy and speed terms. Regarding the GPU projection, different techniques and optimizations have been applied such as the use of optimized Compute Unified Device Architecture (CUDA) libraries or a block-asynchronous execution technique. As a result, the accuracy obtained by the two proposed schemes (ELM-EMP-S and KELM-EMP-S) is better than for the original scheme ELM-EMP and the execution time has been significantly reduced.
Pathways from acculturation stress to negative friends and substance use among Latino adolescents

RACHEL L. BUCHANAN: Pathways from acculturation stress to negative friends and substance use among Latino adolescents (Under the direction of Paul R. Smokowski) This dissertation is comprised of three separate studies that examine acculturation processes and their effects on negative friend associations and substance use among Latino adolescents. The purpose of the first study was to review methods used to measure acculturation and to examine the validity of a multidimensional acculturation scale – the Bicultural Involvement Questionnaire (BIQ). The second study examined how acculturation stress, family relationships, and adolescent mental health problems contribute to the development of negative friend associations for Latino adolescents. Finally, the third study examined the link between acculturation stress and substance use for Latino adolescents, taking into consideration the adolescent’s mental health problems, family, and friend relationships. Data from the Latino Acculturation and Health Project, a longitudinal study of the acculturation experiences of Latino families in North Carolina and Arizona, were used in all three studies. Study one analyses were conducted using Mplus 4.2, while Amos 7.0 was used for analyses in studies two and three. Results from study one indicate that the BIQ needs slight modification before being used with Latino adolescents and more extensive modification for use with Latino adults. Following modification, the scale was found to be an effective measure of acculturation for both populations.
HUBUNGAN NILAI INTELLIGENCE QUOTIENT DENGAN INDEKS PRESTASI KUMULATIF SEMESTER SATU SAMPAI ENAM MAHASISWA ANGKATAN 2015 FAKULTAS KEDOKTERAN UNIVERSITAS SAM RATULANGI

Abstract : Intelligence is the ability of individuals to think, learn from experience, and adapt to new situations. The Intelligence Quotient (IQ) test is used to measure a person's intelligence in valid and reliable manners. IQ is the result of mental age with chronological age. To assess whether IQ tests are feasible to be used as selection and evaluative tests in providing an overview of the quality of students going forward, both in terms of the Grade Point Average (GPA) or other academic achievements, there is still controversy, because there are several supporting studies and several studies that argue. Therefore, researcher wants to know correlation between IQ and undergraduate GPA scores from last sixth semesters. The type of research used is observational analytic with cross sectional design. The sample used was 95 medical students who met the inclusion criteria. IQ scores are obtained through IST instruments and Semester 1-6 GPA scores are obtained through student Study Results Cards (KHS). Results : There is a significant correlation between IQ scores and undergraduate GPA scores from last sixth semesters (p = 0,000, p <0,05) with moderate correlation (r = 0,425) and positive correlation, the higher the IQ score, the higher the undergraduate GPA scores from last sixth semesters. Conclusion : There is a significant correlation between IQ scores and undergraduate GPA scores from last sixth semesters. Keywords: GPA,IQ, IST, Abstrak : Kecerdasan merupakan kemampuan individu untuk bepikir, belajar dari pengalaman, dan beradaptasi terhadap situasi baru. Tes Intelligence Quotient (IQ) digunakan untuk mengukur kecerdasan seseorang secara valid dan andal . IQ merupakan hasil bagi antara usia mental dengan usia kronologis. Untuk menilai apakah tes IQ layak digunakan sebagai tes seleksi maupun evaluatif dalam memberikan gambaran kualitas mahasiswa kedepannya, baik dari segi Indeks Prestasi Kumulatif (IPK) ataupun prestasi akademik lainnya, masih kontroversi, karena ada beberapa penelitian yang mendukung dan membantah. Oleh karena itu, peneliti ingin mengetahui Hubungan IQ dengan IPK Semester 1-6 mahasiswa. Jenis penelitian yang digunakan adalah analitik observasional dengan desain cross sectional . Sampel yang digunakan adalah 95 mahasiswa kedokteran yang memenuhi kriteria inklusi. Nilai IQ diperoleh melalui instrumen IST dan nilai IPK Semester 1-6 diperoleh melalui Kartu Hasil Studi (KHS) mahasiswa. Hasil: Terdapat hubungan yang signifikan antara nilai IQ dengan IPK Semester 1-6 (p=0,000, p<0,05) dengan kekuatan korelasi sedang (r=0,425) dan arah korelasi positif. Kesimpulan: Terdapat hubungan yang signifikan antara nilai IQ dengan IPK Semester 1-6 mahasiswa. Kata Kunci: IPK, IQ, IST
DESIGN OF A ROBOTIC TOY AND USER INTERFACES FOR AUTISM SPECTRUM DISORDER RISK ASSESSMENT

Otizm Spektrum Bozuklugu (OSB) hafiften siddetliye kadar karmasik gelisimsel bozukluklar icin kullanilan yelpaze terimidir. Bu gelisimsel bozukluklar sosyal iletisimde yetersizlik, tekrarlayici ve sterotipik davranislara neden olmaktadir (APA, 2013). Alandaki arastirmalar OSB’li cocuklarin teknolojiye olan bu ilgisini ortaya koymustur. Bu ilgi gelecek vaat eden mudahale modellerinin olusturulmasinda imkan saglayabilir (Annaz et al., 2012; Klin et al., 2009; Fong et al., 2003). Bu calisma OSB’nin yol actigi sinirliliklara uygun urun yaratmak icin tasarimin nasil yapilmasi ve teknolojinin nasil kullanilmasi gerektigi arastirmasini kapsamaktadir. OSB’nin yuksek yayginlik oranlari goz onune alindiginda, bu arastirma bir risk degerlendirme cihazinin metodolojisini ve tasarimini sunmaktadir. Bu cihaz 3-4 yas araligindaki cocuklarin ilgisini cekmeyi ve testlerde dusuk puan alan cocuklari teshise yonlendirmeyi hedeflemektedir. Cihazin icindeki testler OSB’li cocuklarla tipik gelisim gosteren cocuklar arasindaki farkliliklari Zihin Kurami testleriyle saptamaya yonelik tasarlanmistir. Arastirma kapsaminda cihazin prototipinin iki boyutlu illustrasyonlari, arayuz tasarimlari ve dis kabuk tasarimi alandaki arastirma verilerine uygun olarak yapilmistir.
Review on Big Graph Partitioning for Recommendation Systems

With the rapid and continuous increase in data graphs, it has become very difficult in today's scenario to manage, organize, and analyze patterns from them. Hence there are various methods like triangulation method, partitioning methods, etc which are implemented so as to split the data into clusters based on locations, likes and dislikes etc. and run them on various parallel machines. Also there are several streaming algorithms, which can be used if the vertices are not present on the machines and are coming in as a continuous stream. In this paper, we have tried to illustrate some of these methods to develop recommendation systems, which can be used to enhance the business based on several inputs and recommendations of multiple people on any product like watches, books, movies etc thereby increasing the revenue of the companies and also benefit the customers to determine the quality and usefulness of the product and other important features.
Techniques for the Construction of Meaning and the Elicitation of Emotion in The Hunger Games

This thesis analyzes techniques for the elicitation of meaning and emotion within The Hunger Games. It takes a look at the ways in which a story is told and the different elements found within a story that when put together are likely to produce reactions from audience members. This paper draws principally from ideas about film techniques described by David Bordwell and Kristin Thompson (2008) in Film Art: An Introduction, and ideas about how films elicit emotions discussed by Carl Plantinga (2009) in Moving Viewers: American Film and the Spectator’s Experience. Plantinga’s work complements Bordwell and Thompson’s. This is because while Bordwell and Thompson focus primarily on issues of meaning, Plantinga discusses how audience emotions can be evoked by the meaningful contents they witness on the screen.
Hypercomplex Tensor Completion via Convex Optimization

Expressing multidimensional information as a value in hypercomplex number systems (e.g., quaternion, octonion, etc.) has great potential, in data sciences, e.g., signal processing, to enjoy their nontrivial algebraic benefits which are not available in standard real or complex vector systems. Strategic utilizations of such benefits would include, e.g., hypercomplex singular value decomposition (SVD) and low-rank approximation of matrices. In this paper, as powerful mathematical tools for wider signal processing applications of hypercomplex number systems, we first propose novel definitions of SVD and best low-rank approximation of matrices based on algebraic translations of Cayley–Dickson (C–D) number systems. We then derive an algorithmic solution to hypercomplex tensor completion problem based on a convex optimization technique. Numerical experiments in a scenario of color tensor completion problem show that the proposed algorithm recovers much more faithfully the original color information, masked randomly by noise, than part-wise tensor completion algorithms.
A Linear-Time In-place Merging Algorithm

Comparing with other sorting algorithms,the 2-way merge algorithm is the best one to sort two sorted sublists. But the time complexity of the lassic 2-way merge algorithm is the product of the two sorted sublists that leaves something to be desired. The basic techniques needed for improving the classic 2-way merge algorithm are introduced, and a linear-time in-place 2-way merge algorithm is developed. The algorithm needs 2.5m+1.5n+4.5 m+n~(1/m+n) comparisons and 8m+7n-3 m+n~(1/m+n) assignments to merge two sorted sublists of lengths m and n.
MOVBOK: A Personalized Social Network Based Cross Domain Recommender System

Objective: We propose a novel idea for resolving research issues like cross domain recommendations and recommendations using social networks in the emerging research field recommender systems. Methods/Analysis: According to this idea user will be recommended with the list of books that belong to the genre that is most liked by the user in terms of movies. Findings: Here we will collect user's tastes in movies from his social network profile and extract out the most liked genre by him and using an appropriate collaborative filtering algorithm will recommend him with the books that may interest him. Improvement: The proposed idea is expected to resolve research problems like cold start problem and sparsity. Our proposed methodology gives more competent results than the traditional.
Influence of Demographic Variables on Work Life Balance among School Teachers.

This study examines the influence of select demographic variables like Family type, Work experience and Dependent care on Work Life Balance among the School teachers. In this Survey method 172 Teachers from two private schools in Chennai were chosen. The tools used to collect the data were Work-life balance Scale by Udai Pareek & Surabhi Purohit (2010). For statistical analysis t-test, ANOVA and Tukey B post-hoc test was used to analyses the results. The findings show that there is no significant difference between the Family type and Work experience of teachers and their work life balance whereas there is a significant difference between the Dependent care of teachers and their Work life balance.
Methods for Multi-Step Time Series Forecasting Neural Networks

In this study, we examine two methods for Multi-Step forecasting with neural networks: the Joint Method and the Independent Method. A subset of the M-3 Competition quarterly data series is used for the study. The methods are compared to each other, to a neural network Iterative Method, and to a baseline de-trended de-seasonalized naïve forecast. The operating characteristics of the three methods are also examined. Our findings suggest that for longer forecast horizons the Joint Method performs better, while for short forecast horizons the Independent Method performs better. In addition, the Independent Method always performed at least as well as or better than the baseline naïve and neural network Iterative Methods.
TEACHERS’ PERCEPTION OF TELEVISION SCREEN TIME AS AN INFLUENCE ON ACADEMIC PERFORMANCE OF SECONDARY SCHOOL STUDENTS IN AWKA EDUCATIONAL ZONE NIGERIA

This study investigated teachers’ perception of television screen time as an influence on academic performance of secondary school students in Awka Educational Zone, one of the six educational zones in Anambra State, Nigeria established for the effective and efficient supervision, management and coordination of public (government) and private post primary/secondary schools in Awka North, Awka South, Anaocha, Dunukofia and Njikoka Local government areas in South-East Nigeria. This study intended the following; To determine teachers perception of the amount of time spent on television by secondary school students in Awka Educational Zone, to examine the level of awareness among teachers on the influence of television screen time on these secondary school students, to find out teachers opinion about any influence television screen time may have on these student’s behavior and to ascertain if teachers think television screen time influences the student’s academic performance. A survey of 600 secondary school teachers sampled from selected government and private secondary schools in Awka Educational Zone was carried out. The findings of the study indicated that teachers perceived students as addicts of television screens which had a potential for negative impact on their academic performance and overall behavior. Teachers observed that students exhibited at school and home harmful behavior learnt on television. The study recommended sensitization of teachers to evaluate television screen time of their students, teachers working with parents to implement screen time recommendations and regulators enforcing educational and informational programming for children across all television platforms.
A New Measure for the Assessment of Appreciation for Creative Personality

This article introduces a new scale for the assessment of Appreciation for Creative Personality (ACP). The ACP scale is a brief 13-item forced-choice measure that assesses interindividual differences in the preference for interacting with creative people. ACP is considered an important factor of creative climate at the level of interpersonal interaction. Individuals who score high on ACP are thought to foster a creative climate in that they value creative traits in others. In two studies, the psychometric characteristics of the ACP scale were probed. The scale showed a clear unidimensional structure with evidence of good reliability and convergent, discriminant, and criterion validity. The ACP was substantially related to Big Five openness to experience, but predicted relevant criteria over and above openness, supporting the conceptual distinction between ACP and openness. In dyadic data analyses, participants’ openness to experience was significantly associated with their parents’ ACP, which shows that the ACP scale captured shared interpersonal variance. Moreover, parental ACP indirectly predicted participants’ everyday creative activities via the path of openness. These findings suggest that the ACP scale is a useful tool for the study of social-environmental climate for creativity from an interpersonal perspective.
A Wave Based Transfer Matrix Method for accurate simulation of acoustic problems with multilayered damping treatment

Nowadays, engineers strongly rely on damping treatments to improve the NVH properties of their products. These materials are often a complex, multilayered combination of elastic, viscoelastic and poroelastic layers. In order to come to an optimised design, e cient CAE-models are indispensable. Currently, most tools for 3D vibro-acoustic simulation are in practice limited to low-frequency simulations due to the strongly increasing computational cost with frequency to control the errors within the approximations. The modelling of damping materials even further reduces the applicable frequency range. Therefore, techniques are developed to replace the expensive element based techniques, with no or a limited cost in accuracy. Through its modelling procedure, the Wave Based Method (WBM) has an increased e ciency and is therefore a good candidate to substitute (large parts of) the vibro-acoustic system model. To introduce multilayer models with limited additional computational cost, the Transfer Matrix models can be used. When incorporating these TM models into a classical vibro-acoustic (element based) model, however, one should live with two approximation types; (i) the in nite layer assumption and (ii) the fact that the angle of incidence is not known a priori, such that often values for normal incidence or averaged values are used. Whereas the rst class of approximations are innate to the TMM, the second class can be overcome by using the angle-dependent information present in the de nition of the approximation functions in the WBM.
Development and Evaluation of a Cross-Modal XML Schema Browser

We describe the development and evaluation of across-modal XML (Extensible Mark-up Language) schema browser. The aim of developing the system is to investigate cross-modal collaboration between users. The browser provides an audio representation of XML schema documents in a way that preserves the structure of documents and supports multi-level navigation. The project has two principle objectives: 1) to overcome the difficulties faced by visually impaired users and sighted people using small screen devices when browsing XML schema files, 2) To explore usability issues when users collaborate using the auditory and visual interfaces of the system. The paper also examines differences between sighted and visually impaired users of the developed auditory interface. The overall results of the usability evaluations demonstrate that both sighted and visually impaired users were able to perform tasks using the audio modality efficiently and accurately, and the same was true of sighted users interactions with the GUI. The use of the system to support collaboration where each user employs a different mode (audio or visual) of the system clearly demonstrated that cross-modal collaboration is effectively supported, enabling users to collaborate and successfully complete a complex shared task.
Content-based image re-ranking technology in search engine

As the existing text-based image search results sorting cannot meet the users' query expectations,two kinds of content-based re-ranking methods for image search results named SI(Similarity Integral) algorithm and D(Dijkstra) algorithm were put forward.These methods treated images as nodes,used the color and shape features to calculate the similarity between images,and took the similarity as the edge's weight to construct the similarity graph.SI algorithm sorted the images according to the similarity integral of each node image,and D algorithm traversed all the images from the specified image by Dijkstra algorithm.The experimental results show that both of the methods can improve the sorting performance of the image search.In addition,SI algorithm is suitable for the situation with initial precision rate at 0.5-0.9,while D algorithm does not require the initial precision rate,but has high accuracy requirements of similarity value between images,and can be used to the images re-ranking queried by an specified image.
A survey on cognitive radio security

To further understand the problems of cognitive radio security and its current research situation and development trend,some security issues in cognitive radio networks are concluded in the form of convention and special,such as denial-of-service attack,selfish behavior attack,route security,key exchange,GPS interference,PUE attack,SSDF attack,etc.Furthermore,several typical security methods are described in detail.Additionally,the current problems of cognitive radio security and research trends in this area are discussed.