Reviewerly/exHarmony huggingface dataset:
Comparative Analysis of Flood Hydrograph Way Kandis River Basin with Synthetic Units Hydrograph (HSS) Snyder, Nakayasu, and Limantara Methods

Hydrological data is not available in most areas of Lampung Province. To decrease the unit hydrograph, then it’s made a Synthetic Unit Hydrograph is created based on the physical characteristics of the River Basin. Way Kandis River which is a creek of Way Sekampung River is one of the watershed that does not have unit hydrograph so it is necessary to make HSS calculation from some existing method. The design flood debits calculated in this study were Q2, Q5, Q10, Q20, Q25, Q50, and Q100 using the HSS Snyder Method, the Nakowsasu HSS Method and the Limantara HSS Method. The peak debit (Qp) results on the highest 100 year (Q100) recalculation on the Limantara Q100 method = 615.44 m3 / sec HSS by a margin of less than 5 m3 / s through the Snyder Q100 method = 610.79 m3 / s. Lowest Method Nakayasu Q100: 437,40 m3 / s. The time to reach the longest peak (Tp) discharge on the Snyder method = 8 hours by 1 hour difference in each method. Nakayasu Method = 7 hours and Limantara Method = 6 hours. Of the three methods HSS can not yet predicted which approach approaches the flood hydrograph in Way Kandis watershed because there is no data for calibration. Therefore, further research is needed to obtain measurable flow data on Way Kandis River
Motivation for Learning English as a Second Language in Higher School: Comparative Analysis in Diachronic Aspect

The authors present the results of research carried out in 2017/2018 academic year and compare them with the results obtained in 1999/2000 academic year. The aim of the study was to find out the changes in students’ motivation for learning English as a second language in general and changes in hierarchy of motives which have a strong positive effect on learning English as a second language from diachronic point of view. The methods of mathematical statistics and computer data processing as well as discursive reflection for making conclusions were used in the research. 97 Law, Economics and Agro-ecology students of National University of Life and Environmental Sciences of Ukraine completed a questionnaire for collecting data and evaluating motives. The results of the research have shed light on motives and motivation of present-day Law, Economics and Agro-ecology students who learn English as a second language at higher educational institution.
Introduction to the special issue on “Machine Learning Techniques for Software Quality Evaluation”

The assessment of software quality is one of the most multifaceted (eg, structural, product, and process quality) and subjective aspects of software engineering, as in most cases, it is substantially based on expert judgement. Such assessments can be performed at almost all phases of software development (from project inception to maintenance) and at different levels of granularity (from source code to architecture). However, human judgement is (1) inherently biased by implicit, subjective criteria applied in the evaluation process, and (2) its economical effectiveness is limited compared to automated or semi­automated approaches. For these reasons, the research community is still looking for new, more effective methods of assessing various qualitative characteristics of software systems and the related processes. In recent years, we observed a rising interest in adopting various approaches to exploiting machine learning (ML) and automated decision­making processes in several areas of software engineering. These models and algorithms help to reduce effort and risk related to human judgment in favor of automated systems, which are able to make informed decisions based on available data and evaluated with objective criteria. Thus, the adoption of machine learning techniques seems to be one of the most promising ways to improve software quality evaluation. This special issue aims at providing researchers with the possibility to spread novel ideas and methods to make machine learning actionable for the assessment of software quality artifacts and processes. The call for papers was originally published in SE­WORLD, the journal webpage, and other forums relevant to the software engineering community. We particularly encouraged the authors of papers accepted at the 2nd International Workshop on Machine Learning for Software Quality Evaluation (MaLTeSQuE 20181) to submit a revised, extended version of the workshop papers. All submitted papers went through a rigorous review process, which involved up to three internationally recognized experts of the field. This ensured rigor, novelty, and the scientific contribution expected by the Journal of Software: Evolution and Process. As a result, out of the six submitted papers, four of them were recommended for publication. It is our hope that the papers presented in this special issue will further foster the research community toward the intersection between machine learning and software quality assessment. We would like to thank the Editor­in­Chief of the Journal of Software: Evolution and Process, Professor Gerardo Canfora, for allowing us to present this special issue. We are very grateful to all our reviewers for their efforts in evaluating the submitted papers as well as for their timely and constructive reviews that have helped the authors to substantially improve the quality of their works. Finally, we would like to thank the authors who have submitted and revised their papers according to the reviewers' feedback and who have made this special issue possible.
Interaction-Oriented Art Education Program Based on Famous Painting Influence on Children's Picture Listening Ability

본 연구는 명화감상을 매개로 한 상호작용중심의 예술교육프로그램이 유아의 그림감상능력에 미치는 영향을 살펴보고자 하였다. 이를 위하여 D시에 위치한 S어린이집 만5세 유아를 대상으로 실험집단15명, 통제집단 15명으로 하여 주2회씩 6주간 총 12회의 명화감상을 통한 상호작용중심 예술교육활동을 실시하였다. 상호작용중심의 예술교육활동이 유아의 그림감상능력에 통제집단과 실험집단 간의 차이가 있는지를 검증하기 위하여 SPSS 19.0 프로그램을 활용하여 독립대응 표본 검증을 통해 효과를 분석하였다. 본 연구의 결과는 그림감상능력에서 통계적으로 유의미한 차이를 보였다. 이러한 결과를 토대로 명화감상을 매개로 상호작용중심의 예술교육활동이 유아교육에 주는 시사점을 논의하였다.The purpose of this study was to examine the effects of interaction-oriented arts education activities on children s painting appreciation ability. For this purpose, two classes of children aged 5 and 5 in D city were composed of 15 experimental groups and 15 control groups, respectively. In order to verify whether the interaction-oriented arts education activities differed between the control group and the experimental group in the children s picturerecognition ability, the effect was analyzed through the independent response sample verification using the SPSS 19.0 program. As a result of the study, the infants in the experimental group showed statistically significant difference in picture listening ability than those in the control group. On the basis of these results, the implications of interaction-oriented arts education activities for early chlidhood education were discussed.
COMPORTAMIENTO DE LAS COMPETENCIAS DIGITALES EN ESTUDIANTES CON NECESIDADES EDUCATIVAS ESPECIALES

BEHAVIOR OF DIGITAL COMPETENCES IN STUDENTS WITH SPECIAL EDUCATIONAL NEEDSThe development of learning in students with special educational needs is investigated based on the development of digital competencies in the educational inclusion programs implemented in the Faculty of Philosophy, Letters and Educational Sciences of the Technical University of Manabi. The objective was focused on determining the state of the relationship between technological tools, student learning and development of digital skills. A field study was carried out using the inductive-deductive method, applying surveys to students and teachers of the faculty. As results of the study, it was understood that in order to learn they must develop digital competences, which are strengthened from the interaction from the disability with the learning contents in interaction with the digital media; It was also known that there are coincidences among the participants in that ICTs have favored the learning of students with special educational needs. It is concluded that digital skills are an essential part of the teaching-learning process for students with disabilities and that the varied use of media such as video tutorials, Power Point , digital libraries, wikis and others greatly stimulate the individual and group development of these students.
Quantum photonics for secure quantum and classical computing (Conference Presentation)

The precise quantum control of single photons, together with the intrinsic advantage of being mobile make optical quantum system ideally suited for delegated quantum information tasks, reaching from well-established quantum cryptography to quantum clouds and quantum computer networks. Here I will present that the exploit of quantum photonics allows for a variety of quantum-enhanced data security for quantum and classical computers. First, I will present a homomorphic-encrypted quantum random walk using single-photon states and non-birefringent integrated optics. The client encrypts their input state in the photons’ polarization degree of freedom, while the server performs the computation using the path degree of freedom. Then I will briefly discuss the realization of a feasible hybrid classical-quantum technology, which shows promising new applications of readily available quantum photonics technology for secure classical computing by enabling probabilistic one-time programs.
Verification of linear scalability of a business Big Data platform against the Queueing Networks model

Ensuring that software built on top of distributed systems for Big Data has good scalability properties is crucial for the design of long-lasting and reliable products. The purpose of this Master T ...
An Autoethnography on the Socialization of a Novice Teacher in a Small Elementary School

이 글의 목적은 한 농어촌지역 초임교사의 생존전략을 내부자적 관점에서 조명함으로써 소규모 초등학교 교사의 교직사회화 과정을 조명하는 데 있다. 이 글은 자문화기술지에 기초하여 질적 자료를 수집하였으며, 실용적 절충주의에 기초한 주제 분석을 통하여 범주(3개)와 하위범주 (6개)를 생성하였다. 첫째, 농어촌지역 소규모 초등학교 초임교사는 단위학교 교직원들 사이에서 위계적 권력관계를 내면화하였다. 특히, 연구자로서의 나는 경력교사들과의 관계 측면에서 전략적으로 순응함으로써 점차적으로 교직사회에 적응하였다. 둘째, 초임교사이자 연구자로서의 나는 학생 및 학부모들과의 관계형성과 관련하여 그들이 원하는 다중적인 역할을 수행함으 로써 농어촌지역 소규모 학교의 교직사회에 적응하였다. 셋째, 연구자로서의 나는 자기충족적인 방식으로 학교의 교육과정을 운영하고, 다인수 교실환경을 전제로 한 기존의 정형화 된 교수 법으로부터 벗어남으로써 농어촌지역의 소규모 학급에 적합한 교육과정과 수업을 실현할 수 있었다. 이 연구의 결과는 초등 교사 양성기관의 교육실습을 개선하고, 농어촌지역 소규모 초등학교 초임교사의 적응과 전문성 발달을 도모하기 위한 기초자료로써 기여할 수 있을 것이다.The aim of this paper is to provide an internal overview on the coping strategies of a novice teacher for socialization in a small elementary school in rural area. This paper applied an autoethnography to accomplish this purpose, and three core categories and six subcategories were derived from thematic analysis, which is based on the pragmatic eclecticism. The results of this paper were as follows. Firstly, as a novice teacher in a small elementary school in rural area, the teacherinternalized a hierarchical power relationship among faculty members of teaching society and the recommendations of senior staff. Secondly, as a novice teacher in a small elementary school in rural area, the teacher performed role of an optimized “multi-player” and “general consultant” in relationships with students and parents. Thirdly, as a novice teacher and researcher in a small elementary school in rural area, the teacher learned the school curriculum through a self-sufficient strategy, and applied a differential teaching method, which is different from pedagogy in large scale school. The results of this study will be a guideline to support novice teachers’ adaptation and development in small elementary schools in rural area, and this paper will contribute to improve practical exercise programs for elementary pre-service teachers.
Preparing Kivy for Android Application Development

This chapter introduces the Kivy framework for building cross-platform applications in Python. It starts by showing you how to prepare the Kivy development environment on a desktop computer. We will create a simple Kivy desktop application. We will also install Buildozer and use it to build an Android Studio project from the desktop app. An APK file is created, which can be installed on an Android device or deployed on Google Play after being signed.
Toward computational reproducibility: A doctoral student's story of passing the baton

ABSTRACT Computational reproducibility is a critical first step to supporting data reuse. Incentives that encourage data reuse within an academic setting are unlikely to be compelling for students who decide not to continue in academe. The goal of this work is to identify key barriers in the most likely of scenarios with computational reuse, when a doctoral student reproduces work done by another student from the same lab.
Completing and Publishing Your First Game

In the previous chapter, we started developing a multi-level cross-platform game in which a character moves, using animation, according to the touch position. The player’s job is to collect a number of uniformly distributed coins on the screen. A monster tries to attack the player in order to kill it. When a collision occurs between the player and the monster, the player dies and the level ends. Until the end of the previous chapter, the game just had a single level.
Learn how to build bridges between athletics departments, conference offices

College athletics departments and conference offices should work hand in hand to support each other and collaborate on properly managing compliance issues. But of course that's sometimes not the case. Some schools have hardly any contact with their conference office, and vice versa. If that's the case for you, you're likely missing out on valuable resources that could make your compliance challenges more manageable and potential violations more preventable.
A coverless information hiding algorithm based on gradient matrix

A coverless information hiding algorithm based on gradient matrix is introduced in this paper. Firstly, we grid the sharpened gradient matrix of an image. Then we encode the spectral radius of the gridded matrix to construct the mapping relationship between the matrix eigenvalues and random numbers. In order to improve the efficiency and security of transmission, we process the information segment by BCH (31, 21) encoder, in which redundancy check bits are added to detect and recover the errors caused by the interference in communication, thus breaking the limit that the image library has to be shared between the sender and receiver. In the meantime, splicing strategy is adopted to reduce the difficulty of building image library with the length of information sequence increasing. As the experimental results show, this proposed algorithm has a strong robustness towards glitch attack, JPEG compression attack, etc. and has a great application value in high-level secret key communication.
Results of the Cause-Effect Pair Challenge

We organized a challenge in causal discovery from observational data with the aim of devising a “causation coefficient” to score pairs of variables. The participants were provided with a large database of thousands of pairs of variables {X, Y } (80% semi-artificial data and 20% real data) from which samples were drawn independently (i.e. ignoring possible time dependencies). The goal was to discover whether the data supports the hypothesis that Y = f(X, noise), which for the purpose of this challenge was our definition of causality (X causes Y). The participants adopted a machine learning approach, which contrasts with previously published model-based methods. They extracted numerous features of the joint empirical distribution of X and Y and built a classifier to separate pairs belonging to the class “X causes Y” from other cases (“Y causes X”, “X and Y are related” but not in a causal way, a third variable may be causing both X and Y, “X and Y are independent”). The classifier was trained from examples provided by the organizers and tested on independent test data for which the truth values of causal relationships was known only to the organizers. The participants achieved an Area under the ROC Curve (AUC) over 0.8 in the first phase deployed on the Kaggle challenge, which ran from March through September 2013 (round 1). The participants were then invited to improve upon the code efficiency by submitting fast causation coefficients on the Codalab platform (round 2). The causation coefficients developed by the winners have been made available under open source licenses. We have made all data and code publicly available at http://www.causality.inf.ethz.ch/CEdata/ .
Association data release with the randomised response based on Bayesian networks

Local differential privacy is one of the most effective methods for privacy protection data publishing, whose theoretical basis is the randomised response. However, the existing models assume that data attributes are independent of each other, which might result in excessive information loss. To solve this issue, we present a local differentially private method for releasing association data. First, to find the relationship between attributes, we constructed a Bayesian network with a greedy algorithm base on mutual information for the given dataset. Second, to ensure local differential privacy, we perturbed each dependent attribute pair according to weak or robust association attribute set. Third, to achieve the local differential privacy with the noisy marginal, we constructed an approximation distribution for the given dataset. Finally, we experimentally evaluated our method on real data, and the extensive results show that our method better balances data utility and privacy disclosure.
SUMAC 2019

SUMAC 2020 is the second edition of the workshop on Structuring and Understanding of Multimedia heritAge Contents. It is held in Seattle, USA on October 12th, 2020 and is co-located with the 28th ACM International Conference on Multimedia; this year, due to the sanitary crisis, it is organized virtually. Its objective is to present and discuss the latest and most significant trends and challenges in the analysis, structuring and understanding of multimedia contents dedicated to the valorization of heritage, with the emphasis on the unlocking of and access to the big data of the past. A representative scope of Computer Science methodologies dedicated to the processing of multimedia heritage contents and their exploitation is covered by the works presented, with the ambition of advancing and raising awareness about this fully developing research field.
Minimal cyclic codes of length 16p^n over GF(q), where q is prime or prime power of the form 16k+7

In this paper, the expressions for primitive idempotents in group algebra of cyclic group G of length $16p^n$, where $p$ is prime and $q$ is some prime or prime power (of type $16k+7$), $n$ is a positive integer, order of $q$ modulo $p^n$ is $\frac{\phi(p^n)}{2}$, are obtained. Associated with this the generating polynomials and minimum distance bounds for the corresponding cyclic codes are obtained.
Analisis Kemampuan Membaca Kritis Siswa Kelas Iv Dan V Di Sd Muhammadiyah Program Khusus Kottabarat Dan Sd Negeri Tegalsari Surakarta

AN ANALYSIS OF THE CRITICAL READING SKILLS OF CLASS IV AND VAT MUHAMMADIYAH ELEMENTARY SPECIAL PROGRAM WESTERNMINISTRY AND TEGALSARI SURAKARTARino Dwi Irawan, A510150248, Teacher’s Education, Faculty Of Arts AndFaculty Of EducationUniversity of Muhammadiyah Surakarta, August 2019The research aims to assess the evaluation of the learning and ability of the basic highschools of high school students. This study is a kualitative research, so that it requiresdetail the detail and clear that consist of the following stages: the evaluation,observation, test of ability, and documentation. The subject at this study is a class of IVand V SD, the first class of kottabarat, and the primary Program of the TegalsariSurakarta. Research results suggest that I reading the reading and students to read thecritical reading is still not yet to complete, it can provide a understanding of teacher andstudents about importance to improve the critical reading of the critical reading as wellas the government of government to create a good policies that there are in Indonesia.
Lojistik-Singer Harita Tabanlı Yeni Bir Kaotik Sürü Optimizasyon Yöntemi

Many problems in daily life cannot be solved by using classical mathematical methods for having an infinite solution space. Therefore, it is recommended to use meta-heuristic optimization methods that reduce the infinite solution space and based on the mathematical prediction principle in solving similar problems. In order to increase the performance of meta-heuristic optimization methods, number generator and chaotic maps are used. In this article, a new method of chaotic optimization has been developed and logistic and singer maps are used in the proposed optimization method. In order to test the performance of the proposed method, 6 different benchmarking functions and 3 different swarm-based optimization methods were used. The proposed method has produced more optimum results for all functions. In this way, it has been tried to prevent the integration of swarm optimization methods into local solutions.
Enhanced JPEG Algorithm for Colored Images Based on FPGA Implementation

Image compression is an efficient method used to reduce the size of the image. JPEG algorithm has been considered as one of the famous techniques used for image compression. This paper proposed and implemented an optimized hardware solution called Hybrid Compression using Faster Color Conversion and Run Length (HC-FCC-RL) algorithm for JPEG algorithm based on FPGA to reduce the latency and accelerate the compression process. The paper also proposed a Fast Color Conversion with Approximation (FCCA) step to accelerate the conversion process from RGB to YC b C r . Using approximate techniques will reduce the number of resources used as well as the latency with some percentage error. In addition, the paper proposed a Parallel Run Length (P-RL) algorithm to speed up the design. The enhancement approach in this paper aimed to optimize the overall design of the JPEG algorithm targeting color images. The HC-FCC-RL architecture was implemented in Verilog, synthesized on FPGA board and evaluated. The color conversion architecture uses 331 logic elements, a latency of 13.930ns for converting the three colors component of blocks and a power dissipation of 861.03mW. The percentage errors for the color conversion is 11.6%, 1.8% and 5.3% for Y, C b , Cr components, respectively. The P-RL performs better than existing work by saving 48.36 % in logic elements, 53.79 % in latency and 62.86% in power dissipation. The proposed work demonstrated superior performance compared to current work in the literature.