Reviewerly/exHarmony huggingface dataset:
Behavioral Program based on the Gradual Increase in Length and Complexity of Utterance and its Impact on the Reduction of Stuttering and Improve the Level of Academic Achievement

The current study aimed to reduction of stuttering among children in the elementary school and improving their level of academic achievement using a program based on gradual increase in length and complexity of utterance, the study used the following tools: Coloured Progressive Matrices Scales, Family socio-economic level scale, Stuttering Severity Instrument, Academic achievement tests and Behavioral Program based on the Gradual Increase in Length and Complexity of Utterance. The participants of the study were 20 male and female children with stuttering in the elementary school whose ages ranged from (6, 4) to (9, 4) years and were divided into two groups (experimental – control). The study participants were match in the chronological age, the I.Q, the family socio-economic level, the stuttering severity and the level of academic achievement. The results revealed that the application of the program is effective for reduction of stuttering and improving the level of academic achievement among children in the elementary school.
THE EFFECT OF IMPLEMENTING PREVIEW QUESTION READ REFLECT RECITE READ AND READ (PQ4R) LEARNING MODEL INTEGRATED MNEMONIC MODULE TO LEARNING OUTCOMES AND RETENTION OF STUDENTS

Low students' learning outcomes and retention are among the problems in learning.An innovation in the learning process is thus needed to solve the problems.The effect of Preview, Question, Read, Reflect, Recite, Review and Read (PQ4R) learning model integrated with a mnemonic-based module is one of the useful alternatives to overcome the problems.This study aims to address the question on how the integration between the PQ4R learning model and a mnemonic-based module affects the students' learning outcomes and retention.This study used an experimental method with a Quasi-Experimental design.The research subjects were 124 students who were selected purposively from four parallel classes in one high school in Banda Aceh, Indonesia, from a total population of 16 public high schools in Banda Aceh.The subjects were divided into two groups, namely the experimental and control group; each of which consisted of 62 students.In the experimental group, the PQ4R model combined with mnemonic-based modules was used, while in the control group, PQ4R with a conventional learning module was applied.The measured parameters were the students' learning outcomes and retention.To examine the significance of learning outcomes between the experimental and control group, the Analysis of Covariance (ANCOVA) statistical test was employed.The data for retention were obtained from the results of posttest, retention test-1 (retest-1) and retention test-2 (retest-2).The retention was analyzed by using a recognition method.The results showed that there is a significant difference between the learning outcomes of the students in the experimental class and those of the students in the control class.The experimental class has a better retention rate compared to that of the control class.Thus, the application of the PQ4R learning model combined with a mnemonic based module can positively contribute to improving students' learning outcomes and retention.
Detection of Frame Duplication Using Multi Scale Local Oriented Feature Descriptors

In recent decades, frame duplication is a common inter frame tampering operation in the digital videos.To find the duplicate frames with better computational time, multi scale local oriented feature descriptors are proposed in this paper.Initially, histogram equalization is used to improve the visual quality of the images or videos, which are collected from surrey university library for forensic analysis dataset.Then, feature extraction is accomplished utilizing binary robust invariant scalable keypoint, speeded up robust features, and maximally stable extremal regions to extract feature vectors or key points from the enhanced images.After identifying the keypoints, matched keypoints are evaluated by hamming distance and k-means clustering algorithm from the source and moving video frames.The multi scale local oriented feature descriptors with two step feature matching significantly decreases the computational time and effectively determines forged and non-forged frames in the video sequences.Simulation results showed that the proposed model achieved better performance in passive video forgery detection in terms of accuracy, sensitivity, fscore and specificity.Compared to the existing approaches like spatio temporal context learning, inter-frame forgery detection algorithm and adaptive parameter-based visual background extractor algorithm, the proposed model obtained better detection accuracy of 95.10%, and average detection time of 1.04 seconds per frame.
Exponential Organizations Hypergrowth Strategies And Firm Performance: The Moderating Role of Firm Size And Marketing Spending

With the increasing concerns of hypergrowth in order to compete in the international markets and survive, this study aids all firms in various industries, entrepreneurs and decision makers and draw their attention to business models and hypergrowth strategies that are applied by the fast-growing firms in the world. This study investigates the impact of hypergrowth strategy- leveraging assets that developed by Salim, (2014) and firm performance in exponential organizations; The sample size tested constituted of (34) exponential organizations form the fortune 500 and multiple regressions via Stata version 15 was applied for the time period of (2016-2019). Preliminary analysis was conducted to check the assumptions related to the regression models which include unit root, autocorrelation, residuals normality and heteroskedasticity issues. The results showed significant positive relationships between Growth in Fixed Assets (leveraging Assets strategy) and firm performance measured by ROA and ROE whereas, the moderating role of marketing spending and firm size showed insignificant impact in the relationship.
Implementasi API pada Aplikasi Al-Qur'an Berbasis Android dengan Metode UCD

Al-Qur'an is a source and argument for Islamic law, kalam experts, science experts and not only books that speak Arabic and read worship, but also contain scientific value and become a life guide for the development of human cultural reason. especially Muslims. The purpose of this research is to implement the API in the Al-Quran application based on Android and the method used by UCD (User Centered Design). An API is a set of program instructions that are used to build a software application, by providing functions and commands in a language that is easy for the programmer to understand. UCD (User Centered Design) is a design philosophy that places the user at the center of a systems development process. The results showed that an Android-based Al-Qur'an application was in accordance with the needs of the user and the average test results shared with users was 81.25%
Cyber Crimes with Digital Technology

Digital technology has brought the real meaning of globalization in all over the world at large by encompassing it in all walks of life. This technological emergence helped the peoples to communicate with their dear one, who lives world apart. With this expansion in the growth of technology the term ‘Cyber’ became more familiar to the people and this evolution of Information Technology (IT) gave birth to the cyber space.With the evolution of cyberspace, it started to provide opportunities to all the people to get access any information or data storage with the use of internet facilities because the internet has become one of the greatest inventions in the field of communication.
Code-switching between Spanish and English in Twitter

Due to immigration to Latin America from the 19th century, the Hispanic population now makes up a large proportion of the United States. As a result, the use of code-switching between Spanish and English is prevalent. This study aims to investigate code-switching on social networks in the southwestern United States. Conversation on social networks differs a lot from ordinary conversations. Twitter, in particular, tends to be refined and less spontaneous, unlike other media that are spontaneous. However, many studies have only dealt with code-switching in spontaneous situations. However, this study intends to observe code-switching on Twitter using less improvised and refined language. This study collected about 201,000 tweets written in the southwestern United States through a crawling method through the “tweepy” API provided by Twitter. Afterwards, about 899 code-switching between Spanish and English of tweets collected were analyzed. And the analysis results are as follows. First of all, it was largely divided into intra-sentential and inter-sentential code-switching. In the case of intra-sentential code-switching, replacement of simple occurred most frequently, and in the case of inter-sentential code-switching, most often occurred in the form of sentence insertion. This is because the speaker who uses code-switching unconsciously uses it in a way that does not try to violate the grammar of both languages. Considering that Hispanic immigration in the United States has a long history, and the use of Spanish decreases with generations, and the fact that formal education in the United States is conducted in English, many Hispanics in the Southwestern United States are unable to speak both English and Spanish fluently and completely. Therefore, bilingual speakers seem to use a lot of code-switching by word insertion and sentence insertion that can minimize grammatical violation. There are three main reasons for using code switching, and the first is a symbol of intimacy. If the other side to whom the mentions are exchanged seems to mainly speak Spanish, even if the speaker mainly uses English, Spanish code-switching was inserted to express intimacy. Secondly, code switching was inserted for the purpose of arousing attention to emphasize emotional expression, and thirdly, it can be interpreted that the phenomenon of gradually inserting English due to the high linguistic status of English in the United States occurs.
The Implementation of Story-Telling Learning Models to Improve Students’ Public Speaking Skill in Social Studies Lessons at SMPN 1 Peusangan

The method used in this research is Classroom Action Research. Difficulties experienced by some students in learning social studies can be listed as difficulties in understanding lessons, inadequate concentration in studying, insufficient encouragement, lack of sense of need in learning, difficulties in remembering subject materials, insufficient student’s attention in learning activities, absence of the use of storytelling model learning to improve public speaking, and the low learning outcomes in social studies subjects. The storytelling learning model is believed to be able to improve student’s public speaking ability. The subjects in this study were students of class IX in the 2019/2020 school year at SMPN 1 Peusangan. Based on the results, it can be seen that there is an increase in the students' public speaking ability after the implementation of the story-telling learning model. The results show that the average value of individual mastery increased from cycle I to cycle II. In the first cycle, the average individual mastery value is 73% (16 students), while 27% (6 students) did not reach mastery level requirement. In the second cycle, there was an increase in individual mastery; all of 22 students reached the mastery level requirement. Based on the increase in individual and classical mastery values, the application of the story-telling learning model contributes to improve student’s public speaking ability. Since the mastery values are >90%, the study was only carried out until the second cycle. Based on the results, it can be concluded that there were positive changes which were marked by the presence of many students who were happy and interested in following the story-telling strategy. The percentage of students' positive responses to public speaking was 95,46 %. Meanwhile, the average negative response of students was 4.54%. This shows that the story-telling learning model is in demand by students. Keywords: Public Speaking, Storytelling Learning Model
INSTAGRAMABLE BACKDROP FOR KAED HERITAGE LIVING LAB

This research aims to study the backdrop design features of Rumah Kutai, a living Malay heritage lab of Kulliyyah of Architecture and Environmental Design (KAED) for the university project. The objectives of the study are to identify the existing backdrop design elements for the project references and to formulate the appropriate backdrop design that applies to the context. The rapid development of information technology nowadays and the domination of the internet as the medium to the contemporary human activities are the factors in the transformation of this heritage living lab into an â€˜instagramable architecturalâ€™ place. Methodologically, three case studies were selected based on different purposes; as a signage and landmark of a place, a monument of a place, and a public gathering space. The attributes of the design elements, materials, techniques of installation and colour selection were studied with respect to the contextual issues and requirements.Keywords: Instagramable, Rumah Kutai, IIUM logo
Object Detection in High resolution using Satellite Imagery with Deep Learning

Earlier, the progression of the descending lung was the primary driver of the chaos that runs across the world between the two people, with more than a million people dies per year goes by. The cellular breakdown in the lungs has been greatly transferred to the inconvenience that people have looked at for a very predictable amount of time. When an entity suffers a lung injury, they have erratic cells that clump together to form a cyst. A dangerous tumor is a social affair involving terrifying, enhanced cells that can interfere with and strike tissue near them. The area of lung injury in the onset period became necessary. As of now, various systems that undergo a preparedness profile and basic learning methodologies are used for lung risk imaging. For this, CT canal images are used to see and save the adverse lung improvement season from these handles. In this paper, we present an unambiguous method for seeing lung patients in a painful stage. We have considered the shape and surface features of CT channel pictures for the sales. The perspective is done using undeniable learning methodologies and took a gender at their outcome.
한국어 신어 탐색 방법론의 실제

This study focuses on the methodology of neologism detection as an intermediate step in neologism extraction and analysis, rather than stressing the results of such extraction and analysis. As neologism research rarely discusses the issue of semi-automatic detection, this paper seeks to provide an overview of the status of the matter and discuss a number of issues related to the methodology of neologism extraction which can arise in the process of manual and automatic analyses so as to determine the significance of methodology in the analysis of neologisms. Section 2 presents the Neologism Investigation project carried out by the National Institute of the Korean Language, which consists of a systematic and comprehensive investigation of neologisms, and examines changes in methodology from a synchronic perspective. Section 3 reviews the general methodology of semi-automatic neologism detection, which was set out around 2010. Moreover, it discusses the actual process of manual analysis, including the analysis of data formats, and examines how the characteristics of both high-level and low-level automatic morpheme analyzers, which reflect the results of natural language processing research, impact the efficiency of neologism extraction so as to discuss the status of natural language processing methodology. Finally, Section 4 briefly discusses the limitations and significance of the neologism detection methodology.
COMPARAÇÃO ENTRE AS REDES NEURAIS ADALINE E PERCEPTRON UTILIZANDO O CONJUNTO DE DADOS IRIS

Initially, neural networks were developed with the objective of creating a computational system that models the functioning of the human brain, however they started to be used to solve specific tasks. Adaline and Perceptron are two neural networks that calculate an input function using a set of adaptive weights and a bias, despite their similarities, it is known that the Adaline neural network converges to a result more quickly than the Perceptron neural network. This work was designed as a didactic exercise, in order to present how such conclusions are obtained, using the IRIS database as data for classification and training. Throughout the work, the programming languages Processing, was used to develop neural networks, and Python for visual presentation of results. The results found show the high performance of the Adaline neural network over the Perceptron, showing the database classes that can be linearly separated and those that cannot, the metric used to evaluate the performance between the neural networks is defined by the percentage of correct answers in the data classifications. Adaline showed the best performance in the classification for length and width of the petal between the Iris-setosa and Iris-virginica classes among all the other classifications.
Corpus-based Analysis of Usages of Conditional If-clauses

초록 · 키워드 목차 오류제보하기 This paper examines usages of if-clauses based on the analysis of the COCA corpus. Based on Celce-Murcia and Larsen-Freeman(1999)"s classification, this study developed a new classification of if-clauses, including 3 semantic types and 8 specific usages. Using the classification, a total of 300 if-clauses were analysed, with respective 150 in spoken English and written English. The results showed that Type 1(First/Future conditional), Type 2(Second/Present conditional), and Type 3(Third/Past conditional) were used in only 24.3% of the total 300 sentences, and that "Zero conditional" appeared in 32.7%. This indicates that the usage representing "Zero conditional" is used more frequently than those corresponding to Type 1, Type 2, and Type 3 presented in the ESL/EFL textbooks. Based on these results, the study suggests that English grammar books in Korea should deal with "Zero conditional" in addition to Type 1, Tye 2, and Type 3 under the heading of "Conditionals" not "Subjunctive." Further, ESL/EFL grammar books are required to include the usages of "Truth, habit, implicit inference about the present" and "Weakened condition and/or result." #conditionals #corpus #if-clauses #semantic types #usages 1. 서론2. if절의 용법3. 자료 분석4. 결과 및 논의5. 결론References
Sports Video Key Pose Data Incremental Mining Algorithm Based on Deep Learning

In order to solve the problems of low classification performance, low statistical similarity and low mining accuracy of traditional data mining algorithms, an incremental mining algorithm for sports video key pose data based on depth learning is proposed. First, the training tag of depth learning is made by using analog signal matrix, and the implementation prospect of sports video key pose frame is extracted with Caffe (Convolutional Architecture for Fast Feature Embedding) open source framework. The interference region in key pose frame is removed by clustering algorithm, and the key pose region of sports video is obtained. Secondly, the SOFM (Self-Organizing Feature Map) network is used to cluster the data of the key pose area of sports video, and the incremental mining model of the key pose data of sports video is established, and the data acquisition operation is carried out. The incremental mining parameters of key pose data of sports video are obtained by using the combined paradigm, finally, the mining parameters are input into the mining model, and the incremental mining of data is realized by using bwmorph method. The experimental results show that the key pose classification performance of the algorithm is much higher than that of the traditional sports video key pose data mining algorithm, the statistical similarity is high, and the method has higher mining accuracy and is more suitable for the mining of the key gesture data of the sports video.
مدى استخدام التلامیذ ذوی صعوبات التعلم لاستراتیجیة أخذ الاختبار من وجهة نظر معلمیهم The extent to which students with learning disabilities use the test taking strategy from the perspective of their teachers

هدفت هذه الدراسة إلى معرفة مدى استخدام التلاميذ ذوي صعوبات التعلم لاستراتيجية أخذ الاختبار من وجهة نظر معلميهم. وتکونت عينة الدراسة من معلمي صعوبات التعلم وعددهم (343) معلم ومعلمة، عبارة عن (131) معلما، و(212) معلمة، في المدارس الملحق بها برامج صعوبات التعلم في منطقة الرياض، واستخدم مقياس آراء معلمي صعوبات التعلم في مدى استخدام التلاميذ ذوي صعوبات التعلم لاستراتيجية أخذ الاختبار (إعداد الباحث). وأشارت نتائج الدراسة بأن درجة استخدام التلاميذ ذوي صعوبات التعلم لاستراتيجية أخذ الاختبار من وجهة نظر معلميهم کانت في المستوى الضعيف، وجاء ترتيب استخدام مهارات استراتيجية أخذ الاختبار على النحو التالي: مهارة الاستعداد للاختبار تليها مهارة المراجعة ثم مهارة التذکر ثم مهارة إدارة وقت الاختبار وأقلها تمثلت في مهارة التخمين. کما بينت النتائج وجود فروق ذات دلالة إحصائية في متغير نوع المرحلة التعليمية (الابتدائي، المتوسط والثانوي) عند مستوى دلالة (0,01)، لصالح معلمي المرحلة المتوسطة والثانوية. بينما أشارت النتائج إلى عدم وجود فروق ذات دلالة إحصائية في متغيرات (الجنس، المؤهل الأکاديمي). وقام الباحث بتفسير النتائج وفق الأدب النظري والدراسات السابقة وطرح التوصيات والمقترحات البحثيةThis study aimed to find out the extent to which students with learning disabilities use the test-taking strategy from the perspective of their teachers. The research sample consisted of (343) teachers of learning disabilities, consisting of (131) male and (212) female teachers. In schools attached to learning disabilities programs in the Riyadh region, And the learning disabilities teachers' opinions scale was used in the extent to which students with learning disabilities used the test-taking strategy (researcher preparation).The results of the study indicated that the degree to which students with learning disabilities used the test-taking strategy from the viewpoint of their teachers was at the weak level, the order of the use of the test-taking strategy skills is as follows: Exam preparation skill, followed by the review skill, the remembering skill, then the test time management skill. The least of which was the guessing skill. The results also showed that there are statistically significant differences in the type of educational stage variable (primary, intermediate and secondary) at a significance level (0.01), in favor of intermediate and secondary school teachers. While the results indicated that there were no statistically significant differences in the variables (gender, academic qualification). The researcher interpreted the results according to the theoretical literature and previous studies and put forward recommendations and research proposals.