Reviewerly/exHarmony huggingface dataset:
PENGARUH STATUS SOSIAL EKONOMI DAN MOTIVASI BELAJAR TERHADAP PRESTASI BELAJAR SISWA KELAS V SDN TAMBAKSARI I SURABAYA

This study aimed to determine (1) the effect of socio-economic status on Learning achievement (2) The effect of learning motivation on learning achievement (3) the effect of socio-economic status all together with Learning motivation on learning achievement. The data analysis technique used a simple regression analysis and multiple regression analysis. Furthermore, the prerequisite analysis in the form of Normality test, Linearity test and Multicollinearity test were done before the analysis data was conducted. The results of this study are: (1) There is a positive and significant effect of Socio-Economic Status on Learning Achievement which is indicated by the value of R count = 0.379&gt; R table = 0.254 this variable affects Learning Achievement. (2) There is a positive and significant effect of Learning Motivation on Learning Achievement of Fifth Grade (V) Students of SDN Tambaksari I Surabaya which is indicated by the value of R count = 0.453&gt; R table = 0.254 this affects Learning Achievement. (3) There is a positive and significant effect of Socio-Economic Status all toghether with Learning Motivation on Student Achievement of Fifth Grade (V) Students of SDN Tambaksari I Surabaya which is indicated by the value of R count = 0.543&gt; R table = 0.254 with this jointly influencing Learning Achievement.
THE EFFECTIVENESS OF EXTENSIVE READING APPROACH TO IMPROVE STUDENTS’ READING COMPREHENSION

This research entitled the effectiveness of extensive reading approach has a purpose to figure out the effectiveness of extensive reading approach to improve students’ reading comprehension. The subject of this research is students of SMK Al-Irsyad Cipanas. The sample of this research consists 20 of the eleventh grade students of AP class. The research uses quantitative research, or more specifically the one group pre-test post-test design as research design. To collect the data, this research applies pre-test and post-test as the instrument. The result of data is obtained by using t-test formula. The result showed that students who learning using extensive reading approach had better reading ability to comprehend the text. The result of tobs is 2.08, the ttable with degrees of freedom (df) 19 and level of significance at 0.05 was 1,72. Based on the data analysis, the alternative hypothesis in this research was accepted because tobs is higher than ttable (2.08 &gt; 1.72). Based on the data analysis, it is found that the test is reliable. The findings indicated that learning using extensive reading approach is significantly affected the students’ reading comprehension. Therefore, the extensive reading is suitable for improving students’ reading comprehension and it is also a strategy that can be used by teacher for making learning process to be more effective.
PRIVACY AWARE SECURE AUTHENTICATION SCHEME FOR IOT NETWORKS BASED ON DIGITAL SIGNATURES

Internet of Things (IoT) is a network of all devices that can be accessed through the internet. These devices can be remotely accessed and controlled using existing network infrastructure, thus allowing a direct integration of computing systems with the physical world. This also reduces human involvement along with improving accuracy, efficiency and resulting in economic benefit. In this proposed framework, we present a Hybrid Mechanism as Three Factor, ryptography digital signature with Double encryption (TF_CDS-DE) for Secure Authentication in IoT Networks. Our Hybrid Mechanism consists of different frameworks. First, we used a new scheme three-factor authentication scheme because it applies the user smart card, password and personal biometrics as three factors. Second, we used Cryptographic key generation from fused features, here a digital signature is a technique that binds a person/entity to the digital data. This binding can be independently verified by receiver as well as any third party. Finally, utilize Double encryption Scheme. This encryption provides image data security using cryptographic technique and Confidentiality of data is ensured by use of strong encryption.
Magnetic Marketing Success Factors and Their Impact on Purchasing Decision Making Exploration Research in a Sample of Private Banks in Baghdad

The research examines the impact relationship of magnetic marketing success factors (market, message and mediameans of advertising) in making a purchase decision. The problem of the research was represented in number of questions, the aim of the answer was to find out the extent to which the sample was (private banks in Baghdad) adopted the factors of the success of the magnetic marketing and their impact on making a purchase decision .The importance of the research lies in the importance of the factors of the success of magnetic marketing in communication with existing customers and thus the exchange with them and seek to attract potential customers. The aim of the research to raise the interest  of  these organizations to the variables of the study of its importance in ensuring the survival and sustainability. The questionnaire was used as a tool for collecting the data that was distributed to the sample of the research which included (63) respondents in a sample of private banks in Baghdad (Baghdad, United Investment, Gulf Business and International Development). A number of statistical methods have been used to test the hypothesis of research through the adoption of the statistical program (SPSS23  ) found a number of conclusions, the most important of which was the significant effect of the success factors of magnetic marketing in making the purchase decision, while the most important recommendations is the need to adopt the management of the bank a mix of advertising means and not the adoption of the Internet and e-mail as a single means of promotion and exchange if they want to apply magnetic marketing success factors.
Application of Data Mining in Telecommunication Industry

Data Mining is a logical procedure intended to investigate data (normally a lot of data - commonly business or market related - otherwise called "enormous data") looking for predictable examples as well as methodical connections amongst factors, and after that to approve the discoveries by applying the recognized examples to new subsets of data. The telecommunications industry inside the division of data and correspondence technology is comprised of all Telecommunications/telephone companies and web access suppliers and assumes the urgent part in the development of versatile interchanges and the data society. Customary telephone calls keep on being the industry's greatest income generator, yet because of advances in arrange technology, Telecom today is less about voice and progressively about content (informing, email) and pictures (e.g. video gushing). Fast web access for PC based data applications, for example, broadband data administrations and intelligent stimulation , is unavoidable. Digital Subscriber Line (DSL) is the primary broadband telecom technology. The quickest development originates from (esteem included) administrations conveyed over portable systems.
2015 National Curriculum-based Analysis of Cultural Contents in High School English Textbook of 『Culture of English Speaking Countries』

의사소통을 위해 가장 널리 활발하게 사용되는 세계어로 자리 잡은 영어는 한국에서 제1 외국어로서 학교 교육과정을 통해 교수 학습되고 있다. 우리나라의 학교 영어교육은 1997년 제7차 교육과정이 확립된 이후 수시개정으로 시행되고 있으며, 현재 2018학년부터 2015 영어과 교육과정이 적용되고 있다. 본 연구는 문화를 위주로 집필된 고등학교 「영어권 문화」 과목의 교과서를 문화배경별 및 2015 교육과정의 핵심역량과 소재별로 분석하고, 각 단원별 문화고정란의 체계를 2015 교육과정의 성취기준별로 분석하였다. 분석 결과, 고등학교 「영어권 문화」 과목의 교과서는 내부집단 영어권 내용만을 다루고 있고 영미 문화 소개에 편중되어 있어 영어에 대한 개방성과 언어 혼용성을 배우기 어렵게 구성되어 있다. 또한, 영어과 핵심역량 중 공동체 역량에 관한 내용을 집중적으로 다루고 있으며, 소재 측면에서는 다양한 문화권에 사는 사람들의 일상생활과 변화하는 사회 관련 내용이 많았다. 더하여, 문화고정란의 읽기 후 활동을 성취기준에 따라 분석한 결과 생활양식, 풍습, 사고방식을 파악하는 활동이 많았다. 마지막으로, 단 1종뿐인 고등학교 「영어권 문화」 과목의 교과서를 비교하여 선택할 수 있도록 다양한 교과서가 검인정으로 출판될 필요가 있으며, 문화 간 의사소통능력을 배양하기 위하여 본문에서 영미문화 위주로 기술하더라도 문화고정란 등에서 외부집단 및 확장집단 영어권 문화를 다루어 균형감을 갖출 필요가 있음을 제언으로 덧붙였다.English, widely used as a global language for communication, is being taught as the first foreign language in Korea across its schools. English education has been based on frequently revised national curricula since the 7th National Curriculum was established in 1997. The 2015 English National Curriculum has been applied in schools since 2018. This study analyzes the high school textbook of the “English-speaking culture” subject on the basis of three criteria: cultural background of main contents, core competency, and content material and achievement standards of 2015 curriculum. The findings show that the textbook of the high school “English-speaking culture” subject deals only with the contents of the inner circle of English, focusing on the British and American cultures, which makes it difficult to learn about the openness to diverse Englishes. In addition, it focuses on learning the community competency among the core competencies of the 2015 English curriculum, and in terms of content, there is a lot on the daily life of people living in various cultures and changing social values. Analyzed according to achievement standards of the 2015 curriculum, the after-reading activities of cultural sections are related to exploring lifestyle, customs, and ways of thinking. Finally, this paper suggests that a variety of textbooks need to be published to allow students to choose among several textbooks of “English-speaking culture” subject, and that even if the main sections deal with British and American culture, its cultural sections need to describe the cultures of outer circle and expanding circle of English.
Implicit Label Augmentation on Partially Annotated Clips via Temporally-Adaptive Features Learning

Partially annotated clips contain rich temporal contexts that can complement the sparse key frame annotations in providing supervision for model training. We present a novel paradigm called Temporally-Adaptive Features (TAF) learning that can utilize such data to learn better single frame models. By imposing distinct temporal change rate constraints on different factors in the model, TAF enables learning from unlabeled frames using context to enhance model accuracy. TAF generalizes "slow feature" learning and we present much stronger empirical evidence than prior works, showing convincing gains for the challenging semantic segmentation task over a variety of architecture designs and on two popular datasets. TAF can be interpreted as an implicit label augmentation method but is a more principled formulation compared to existing explicit augmentation techniques. Our work thus connects two promising methods that utilize partially annotated clips for single frame model training and can inspire future explorations in this direction.
The model of education for developing the culture of tolerance in future specialists in the university environment

The model for forming the culture of tolerance in future specialists in the university environment was developed and implemented after receiving the data of the ascertaining experiment, confirming the necessity of development of the culture of tolerance in educational activities.This model suggests a focused and systematic work on formation of the culture of tolerance in higher school.We used the methodological principles of systematic, activity, polysubject and culturological approaches, as well as the modeling theory; we studied the modeling of the educational process, as well as the peculiarities of interaction between the mentor and the students' group.The composition and structure of the main components of formation of the culture of tolerance in educational activities were determined during the analysis of objects and the relationship of these components within the system, and the conditions of their functioning were revealed.In this article the model for development of the culture of tolerance in future specialists in the activities of the mentor of the students' group is presented with the purpose-oriented, informative, technology, criterion-estimating and resultant blocks.In the course of the ascertaining experiment, we have determined the pedagogical conditions providing effective formation of the culture of tolerance of the future specialist: systematic educational work on formation of culture of tolerance in higher education; ensuring the unity of the theoretical and technological training of mentors to formation of the culture of tolerance in university students; the establishment of tolerance-oriented educational environment in the students' group; the subjectsubjectival interaction of the mentor and students.The results of the study are based on the knowledge and experience of mentors, the theoretical study of formation of the culture of tolerance in future specialists, the study of data obtained in the course of the ascertaining experiment and the criteria framework for the assessment of formation of the culture of tolerance, created by the author.
Properties of Quantum Reactivity for a Multipartite State

We discuss the properties of quantum state reactivity as a measure for quantum correlation. This information geometry-based definition is a generalization of the two qubit construction of Schumacher to multipartite quantum states. It requires a generalization of information distance to information areas as well as to higher-dimensional volumes. The reactivity is defined in the usual chemistry way as a ratio of surface area to volume. The reactivity is an average over all detector settings. We show that this measure posses the key features required for a measure of quantum correlation. We show that it is invariant under local unitary transformations, non-increasing under local operations and classical communication, and monotonic. Its maximum bound can't be obtained using only classical correlation. Furthermore, reactivity is an analytic function of measurement probabilities and easily extendable to higher multipartite states.
Analysis of critical parameters of satellite stereo image for 3D reconstruction and mapping

Although nowadays advanced dense image matching (DIM) algorithms are able to produce LiDAR (Light Detection And Ranging) comparable dense point clouds from satellite stereo images, the accuracy and completeness of such point clouds heavily depend on the geometric parameters of the satellite stereo images. The intersection angle between two images are normally seen as the most important one in stereo data acquisition, as the state-of-the-art DIM algorithms work best on narrow baseline (smaller intersection angle) stereos (E.g. Semi-Global Matching regards 15-25 degrees as good intersection angle). This factor is in line with the traditional aerial photogrammetry configuration, as the intersection angle directly relates to the base-high ratio and texture distortion in the parallax direction, thus both affecting the horizontal and vertical accuracy. However, our experiments found that even with very similar (and good) intersection angles, the same DIM algorithm applied on different stereo pairs (of the same area) produced point clouds with dramatically different accuracy as compared to the ground truth LiDAR data. This raises a very practical question that is often asked by practitioners: what factors constitute a good satellite stereo pair, such that it produces accurate and optimal results for mapping purpose? In this work, we provide a comprehensive analysis on this matter by performing stereo matching over 1,000 satellite stereo pairs with different acquisition parameters including their intersection angles, off-nadir angles, sun elevation &amp; azimuth angles, as well as time differences, thus to offer a thorough answer to this question. This work will potentially provide a valuable reference to researchers working on multi-view satellite image reconstruction, as well as industrial practitioners minimizing costs for high-quality large-scale mapping.
SECURE ONLINE VOTING SYSTEM USING BLOCK CHAIN

We propose a fast and secure Blockchain voting scheme called Blockchain Voting System , which significantly reduces the delay for collecting and tallying votes. In Block chain voting system(BVS), Voters transmit their votes simultaneously by exploiting the blocks in online. Votes are realized by injecting energy to pre-assigned blocks. BVS is secure against hackers and third parties , Security is achieved by employing cryptography-based authentication and message integrity schemes. Evaluating the voting robustness as a function of Block parameters. the practical implementation challenges are multi-device frequency and time synchronization.
The Return and Identity Strategies of Joseon Women with Manchurian Experience during the Japanese Colonial Period

이 글은 식민지기 만주로 가족이주를 떠났던 여성들이 조선으로 귀환하면서 만주에서의 근대적 경험을 자원으로 치환해내고, 차별화된 정체성으로 선택함으로써 생존전략을 구성해내는 것에 관심을 둔다. 식민지기 조선인으로서 만주로 떠날 수밖에 없었던 구조적인 요인에 관한 거시적 차원의 분석도 중요하겠지만, 이 글에서는 역사적으로 주조된 식민지 프레임 안에서 피식민 주체로서 경험한 근대를 재맥락화시키는 여성들의 삶을 미시적 차원에서 분석해보고자 한다. 항일 내셔널리즘에 결박당한 만주의 공백을 채우기 위한 방편으로서, 식민지기 만주를 일상의 경험으로 구성해온 행위 주체들의 삶에 주목해 볼 필요가 있다. 개별적 삶의 기억을 통해 식민지기의 경험이 해방과 압축적 경제성장기를 관통하면서 전략적 정체성으로 전환되는 과정에 대한 연구는 거대 담론과 미시 담론이 교차하는 지점을 확인해 본다는 의미가 있기도 하다. 연구 질문은 두 가지로 정리할 수 있다. 첫째, 식민지라는 특수한 조건에서 구조적으로 유인된 이주민이었던 조선의 여성들은 만주에서 ‘근대’를 어떤 방식으로 경험하였는가? 둘째, 만주 ‘근대’를 경험한 여성들은 해방공간에서 조선으로 귀환한 이후 정착과 생존을 위한 전략으로서 차별화된 정체성을 어떻게 활용하였는가? 연구 질문에 대한 답을 구하기 위한 방법으로서 1918년과 1928년에 출생하 여 만주를 경험한 두 명의 여성 구술생애사 인터뷰자료를 선택하여 논의하고자 한다.This article focuses on how women, who had migrated to Manchuria with her family during Japanese colonial rule, turned their modern experience in Manchuria into resources and selected a distinctive identity as a survival strategy when they returned to Joseon. While it is important to examine the structural factors that forced these women to move to Manchuria as colonized Joseon people at a micro-level, the present article aims to analyze the lives of women who re-contextualized the modernity they experienced as colonized subjects in the historically shaped colonization framework at a micro-level. As a means to fill in the blanks in Manchuria bound by anti-Japanese nationalism, it is worth noting the lives of the subjects who had constituted Manchuria during the colonial period with daily life experiences. A study which examines memories about individual lives to see the way colonial experience transitioned into a strategic identity over the course of Korea’s liberation and rapid economic growth periods holds significance as it examines an intersection between macro-discourse and micro-discourse. There are two research questions. First, how did Joseon women, who were structurally induced to migrate under the special circumstance of colonization, experience ‘modernity’ in Manchuria? Second, how did the women who experienced ‘modernity’ in Manchuria use a distinctive identity as a strategy to settle and survive in a liberated country after they returned to Joseon? As a method to answer these questions, the present article selects and discusses the oral history interview materials of two women, who were born in 1918 and 1928, respectively, and experienced Manchuria.
Ego-CNN: Distributed, Egocentric Representations of Graphs for Detecting Critical Structures

We study the problem of detecting critical structures using a graph embedding model. Existing graph embedding models lack the ability to precisely detect critical structures that are specific to a task at the global scale. In this paper, we propose a novel graph embedding model, called the Ego-CNNs, that employs the ego-convolutions convolutions at each layer and stacks up layers using an ego-centric way to detects precise critical structures efficiently. An Ego-CNN can be jointly trained with a task model and help explain/discover knowledge for the task. We conduct extensive experiments and the results show that Ego-CNNs (1) can lead to comparable task performance as the state-of-the-art graph embedding models, (2) works nicely with CNN visualization techniques to illustrate the detected structures, and (3) is efficient and can incorporate with scale-free priors, which commonly occurs in social network datasets, to further improve the training efficiency.
Measuring the effect of the tunnels on education in the economic growth in Iraq for the period 2002-2016

The research problem stems from the fact that spending on education is still at a low level compared to other developing and developed countries، and thus does not contribute to raising and improving economic growth and development. While the study aims to identify the reality of spending on education in Iraq and try to measure the impact of these tunnels on the economic growth of Iraq for the period 2002-2016. The research found that increased spending on education would contribute to improved production and income levels and thus an increase in economic growth. The study presented a number of recommendations, the most important of which is the increase in allocations of the general budget for the education sector, and the joint efforts between the government and the private sector to support educational institutions in Iraq with equipment, laboratories, computers and modern educational materials in order to produce skilled and advanced labor
Programming with Applicative-like expressions

The fact that Applicative type class allows one to express simple parsers in a variable-less combinatorial style is well appreciated among Haskell programmers for its conceptual simplicity, ease of use, and usefulness for semi-automated code generation (metaprogramming). We notice that such Applicative computations can be interpreted as providing a mechanism to construct a data type with "ports" "pluggable" by subcomputations. We observe that it is this property that makes them so much more convenient in practice than the usual way of building the same computations using conventional composition. We distill this observation into a more general algebraic structure of (and/or technique for expressing) "Applicative-like" computations and demonstrate several other instances of this structure. Our interest in all of this comes from the fact that the aforementioned instances allow us to express arbitrary transformations between simple data types of a single constructor (similarly to how Applicative parsing allows to transform from streams of Chars to such data types) using a style that closely follows conventional Applicative computations, thus greatly simplifying (if not completely automating away) a lot of boiler-plate code present in many functional programs.
Optimization and Improvement of Lucene Index Algorithm

Lucene has a wide range of applications in text retrieval and search. The similarity scoring algorithm is one of the core parts of its search engine. In the question and answer system, the retrieval function is also used. The similarity scoring algorithm is also one of its core parts. This paper introduces the analysis of Lucene’s system structure, and proposes a search engine optimization method and index algorithm improvement.
Task-Driven Data Verification via Gradient Descent

We introduce a novel algorithm for the detection of possible sample corruption such as mislabeled samples in a training dataset given a small clean validation set. We use a set of inclusion variables which determine whether or not any element of the noisy training set should be included in the training of a network. We compute these inclusion variables by optimizing the performance of the network on the clean validation set via "gradient descent on gradient descent" based learning. The inclusion variables as well as the network trained in such a way form the basis of our methods, which we call Corruption Detection via Gradient Descent (CDGD). This algorithm can be applied to any supervised machine learning task and is not limited to classification problems. We provide a quantitative comparison of these methods on synthetic and real world datasets.