Reviewerly/exHarmony huggingface dataset:
Teaching Reading Comprehension through Story Mapping Technique at Senior High School in North Luwu

AbstractThe purpose of this research was to find out whether the use of story mapping technique is effective or not in improving students’ reading comprehension on the narrative text at Senior High Schools in Luwu Utara. This research applied pre-experimental design. The population of this research was the tenth grade students SMAN 3 Luwu Utara. The samples of this research were 10 students. The sampling technique in this research was purposive sampling. The instrument of this research was reading test of narrative texts. The researcher gave pretest and posttest to the students. SPSS 20 was used to analyze the data. The result of this research showed that the use of story mapping technique in in improving students’ reading comprehension is effective. It proved by the result of the data indicated that there was a significant difference between the pre-test and post-test. The mean score in the pre-test was 47.80 and the mean score in the post-test was 81.40. The value of t0 (ttest) = 8.297, the value of tt (ttable) = 2.262 at the level of significance is 5% (0,05) with degree of freedom (df) = 9. Based on the result namely 8.297&gt; 2,262 or t0 (ttest) was higher than tt (ttable), t0 &gt; tt, it means that the story mapping technique is effective in improving students’ reading comprehension on the narrative text at Senior High School No. 3 in Luwu Utara. Key Words: Reading Comprehension, Narrative Text, Story Mapping Technique.
The Proposed Model High-performance Grants Low Communication Latency to the Big Size of Data in a Secure and Private System-based on Blockchain with a Software-Defined Network (SDN)

Blockchain technology carries considerable interest from both academia and the financial market through unusual risk on thousands of available cryptocurrencies that make us extremely wondering which one of those is safe and secure to use.This paper suggests the development of Blockchain systems to disclose the significance of scalability.We survey the state-of-thesoftware-defined network (SDN) also addresses a certain track of Blockchain progress to carry out the useful aspects of the Internet of Things (IoT).In this paper, we present the character of the situation as a necessary decentralized along with algorithm-based consensus point of coordination in our society, showing that centralization is an organization that is not anymore designed to be a politically, private, and secure manner.In this work, we propose a light nodebased SDN that significantly improves light Node routing performance.By including additional routing information when a packet passes through the root node for the first time in a light Node communication, when available, without significant overhead.We implement the Openflow protocol and evaluate its performance through extensive simulation.Results show that improves packet reception ratio, round-trip time, and energy usage of light Node communication compared to standard systems.The proposed model is a distributed architecture based on Blockchain technology, that delivers inexpensive, secure, intelligent, and simple access to any type of network infrastructure computing.The proposed model highperformance grants low communication latency to the big size of data in a secure and private system based on Blockchain with a software-defined network (SDN).
Cyclic Codes from a Sequence over Finite Fields

A cyclic code has been one of the most active research topics in coding theory because they have many applications in data storage systems and communication systems. They have efficient encoding and decoding algorithms. This paper explains the construction of a family of cyclic codes from sequences generated by a trace of a monomial over finite fields of odd characteristics. The parameter and some examples of the codes are presented in this paper.
THE XYLOPHONE: ITS INSTRUMENTAL TECHNOLOGY IN ANAMBRA STATE

The construction of musical instruments among the Igbo is done purposely to cater for their musical expression and commercial reason. The xylophone is an instrument of the idiophone family. It is an instrument of definite pitch. Besides, some are of indefinite pitch. They are many types of xylophone from 2-15 or more slabs with different resonators. The xylophone musical instrument is structurally constructed as a set tuned wooden slabs placed on a wooden box which serves as a resonator (amplifier). The slabs are of varying lengths in accordance with the required keys. This study, therefore, investigated the process of constructing a xylophone instrument and how modernization has impacted its technology among the Igbo in Nigeria. The paper adopted an ethnographic research design in which Indepth Interviews with the technologist (key-informant) from Ndikelionwu in Orumba North was conducted. The findings from the fieldwork revealed that the physical structure of the xylophone show that there is a gradual shift from indigenous practices to the modern method. This paper recommended adequate promotion and enabling environment for traditional musical technologists in Nigeria.
A Randomized Hyperparameter Tuning of Adaptive Moment Estimation Optimizer of Binary Tree-Structured LSTM

Adam (Adaptive Moment Estimation) is one of the promising techniques for parameter optimization of deep learning.Because Adam is an adaptive learning rate method and easier to use than Gradient Descent.In this paper, we propose a novel randomized search method for Adam with randomizing parameters of beta1 and beta2.Random noise generated by normal distribution is added to the parameters of beta1 and beta2 every step of updating function is called.In the experiment, we have implemented binary tree-structured LSTM and adam optimizer function.It turned out that in the best case, randomized hyperparameter tuning with beta1 ranging from 0.88 to 0.92 and beta2 ranging from 0.9980 to 0.9999 is 3.81 times faster than the fixed parameter with beta1 = 0.999 and beta2 = 0.9.Our method is optimization algorithm independent and therefore performs well in using other algorithms such as NAG, AdaGrad, and RMSProp.
외국인 대학원생을 위한 한국어 동료튜터링 프로그램 운영 사례 연구 - 만족도와 효과를 중심으로 -

This study aims to enhance the Korean language peer tutoring program by examining the satisfaction and effect of the Korean peer-tutoring program between foreign post-graduate students and Korean post-graduate tutors majoring in Korean language education. The results of the study are as follows: First, the satisfaction were high in both the tutor and the tutee, and both groups had a positive attitude toward the program showing that Korean language tutoring programs were helpful to both groups. Second, the effect of the program affecting the satisfaction varied from group to group. Results showed that satisfaction tended to be higher in the tutee who indicated that the program helped them ‘improve Korean skills needed for studies and school life’ and tutors who indicated that the program helped them ‘develop self-directed learning skills’. Third, continuous review and development are needed in areas of tutoring team study period tutor training and managing compensation for tutors. More consideration on how the role of the Korean tutors are different when tutoring foreign students is needed and support in providing assistance to these tutors in performing their role well should be developed. This study is significant as it presented a model of peer-tutoring program during a period where there is an increase of foreign post-graduate enrollees and this study may serve as a basis for developing peer tutoring programs for foreign post-graduate students in the future.
PERCEPTION REGARDING THE ACQUIRING OF DIDACTIC COMPETENCES OF THE STUDENTS FROM THE FINAL YEAR AT THE SPECIALIZATION PHYSICAL AND SPORTS EDUCATION, IN THE ONLINE EDUCATIONAL PROCESS

The pandemic context imposed in the educational process a series of procedural and didactic adjustments, felt especially in the vocational specializations. The present study investigates the level of development of cognitive competences in the online educational system for third year students, specializing in physical education and sports. A questionnaire was applied aiming at: interaction at courses and practical works and the perception of the development of cognitive competences. The results showed an average level of participation and acquisition of cognitive competences. The online educational process by limiting active participation, reduces the training of practical and cognitive competences of future specialists in the field.
Push strategy of node association degree based on end to end interactive information

Aiming at the network congestion problem encountered by the Internet of Things devices in the message request, in order to reduce the network congestion, this article proposes a message prefetching and pushing algorithm based on node statistics. First, count the message push times table between network nodes, and find the values in the network node demand correlation list and service correlation list; finally, this article uses the message prefetch and push algorithm based on statistical information, and the demand correlation is used as the interactive method information push. Theoretical analysis and experimental results show that the algorithm can obtain a higher message prefetch push hit rate by setting a reasonable threshold based on the interaction of a certain number of devices, thereby alleviating network congestion caused by network computing and communication bandwidth.
Schema and Comprehension: Increasing Self-Motivation in Reading

This review will focus on the effect of schema on upper elementary reading comprehension test scores as well as how to build the desire for upper elementary students to self-question while reading. Accordingly, this deficiency in comprehension skills and practical strategies have been evident in classrooms across the nation. This review investigates scholarly research contrasting striving readers and exceptional readers’ schema and characteristics. Next, research is presented to explore the gap between striving and exceptional readers in hopes of finding practical ways to bridge that gap between readers. Therein, this research is synthesized to help students build the desire for self-questioning while reading. This research is then applied to teaching implications and what a classroom might look like. An inability to monitor metacognitively and apply strategies was found to be a major reason why students struggle with comprehension (Anderson & Pearson, 1984; Pressley, 2000; Snow, Burns, & Griffin, 2002; Mason, 2004). Therefore, teachers must explicitly instruct and model those processes to increase comprehension skills and comprehension test scores.
PEDAGOGICAL GIFTEDNESS AS A FACTOR OF SUCCESSFUL PREPARATION OF STUDENTS OF ADDITIONAL EDUCATION FOR CONCERT PERFORMANCE

This paper examines the features of the activities of a teacher of additional education related to the preparation of students for a concert performance and necessity of creating favorable conditions to the successful performance of students. The most common shortcomings in preparing students for performing in front of audience are identified, also the main stages of the musical teaching process are considered. In the course of analyzing the activities of a music teacher, it was revealed that in the structure of the organization of the musical teaching process when working with gifted students, it is important that the teacher has pedagogical giftedness, which includes a number of pedagogical abilities. On the basis of the studied materials and the experience of foreign countries, the author proposes, on the basis of a bachelor's degree, to enter a course of major disciplines such as psychology of musical and pedagogical activity, psychological and pedagogical workshop and the art of teaching stage performance, and for acting teachers on the basis of children's music schools, to introduce an advanced training course of psychological and pedagogical support of students in the conditions of concert activities for teachers of additional education.
How to 'Be a Santa to a Senior' during COVID

Home Instead is working with Amazon to adapt their gifts for seniors program for the coronavirus era.
LibGuides: STEM Librarians South 2021: Program

A resource guide to the STEM Librarians South Conference for 2021, held virtually, hosted by Texas State University Libraries.
Diagnostic accuracy of Red Cell Distribution Width in the diagnosis of iron deficiency anemia and beta thalasshemia trait

Iron deficiency is the leading cause of anemia in developing countries like Pakistan, particularly in children and females of child bearing age. This is mainly due to inappropriate dietary iron intake and increased demand of iron during pregnancy. Iron is a major component of hemoglobin and lack of this essential element results in lower hemoglobin content in red cells. Complete blood count (CBC) can provide us with a better estimate of iron deficiency. Red cell distribution width (RDW) is a significant CBC parameter and a credible marker of variation in red cell size (anisocytosis) on many routine hematology analyzers. RDW is usually elevated in IDA due to variation in size of erythrocytes while it is normal in beta thalasshemia trait. Ferritin is a gold standard measure in IDA but as it is also an Acute Phase Reactant which tends to falsely elevate in various infections and inflammatory disorders. Therefore it is not of considerable significance in detection of IDA in such clinical conditions.
OPTIMASI KOMPOSISI MAKANAN UNTUK PENDERITA ANEMIA MENGGUNAKAN METODE VARIABLE NEIGHBORHOOD SEARCH

Abstract: Lack of blood or anemia is a condition when the body lacks healthy red blood cells or when red blood cells do not function properly. Anemia is defined as a low concentration of hemoglobin (Hb) in the blood (WHO, 2015). Anemia is one of the problems with anemia that commonly occurs when the number of erythrocytes is less than normal or due to low hemoglobin concentrations in the blood (Depkes, 2008). One of the efforts to live a healthy life in patients with anemia is to pay attention to the consumption of healthy foods as needed. The composition of food by paying attention to the level of iron content in food can be done using the Variable Neighborhood Search (VNS) method. The data used in this study are 100 food data and data on nutritional needs according to age and gender. VNS has several stages, namely after generating the initial solution then doing the shaking stage, local search. The test results show that the average fitness results are seen from the criteria values. The number of local searches that are too many does not guarantee a solution with the best fitness, but a large number of local searches can provide wider search opportunities. The results of the study were in the form of optimizing the composition of food that had been selected by the patient by approaching the nutritional needs of the anemic patient. Keywords: Anemia, Food Composition, Variable Neighborhood Search
Learning The Alphabet Letters Recognition Media For Kindergarten

Abstract. This study aims to find out how to design, create and test multimedia software for alphabet letter recognition media with macromedia flash 8.0. The purpose of making this learning media is to introduce letters of the alphabet to Early Childhood. The subjects in this study were the Development of Interactive Learning Media on the Subject of Introduction to the Alphabet for Kindergarten Children. Data collection in this study uses literature study, observation, and interview methods. The application is compiled with procedures that include identification of problems, actual system analysis, analysis of new systems, designing menu structures, designing menus, designing opening menus, designing main menus, designing submenu materials, designing training submenus, designing submenu profiles, implementing systems, testing systems with black box and alpha test, the use of the system and the final stage is maintaining the system. The results of this study are building interactive multimedia alphabet letter recognition software. The application was tested using a black box and alpha test. And the test results obtained are: SS (Strongly Agree) 10%, S (Agree) 80%, KS (Less Agree) 8%, TS (Disagree) 2%, it can be concluded that the application can help recognize letters of the alphabet.
Pocket and Audio-Visual-Animated Influence to The Knowledge and Attitudes of Female-Age-Women in Prevention of Tuberculosis Transmission

Prevention of tuberculosis transmission in female prostitutes can beconveyed through audio-visual methods and pocket books, which can be moreinteresting and easy to understand, as part of health promotion, so that the targetaudience can learn the message for adoption. The purpose of this study was todetermine the effect of using pocket books and audiovisual animation on increasingthe knowledge and attitudes of female prostitutes in preventing tuberculosistransmission. Quasi-experimental research design nonrandomized pretest posttestcontrol group design. The results of the study, there was a change in the mean ofknowledge before and after being given pocketbooks and audio-visual media by15.88 in the intervention group, changes in the mean attitude of 39.40 in theintervention group. There is an effect of giving pocket books and animated-videoson the knowledge and attitudes of women women in preventing tuberculosistransmission with p value <0.01. Pocket books and audio-visual media can be usedas alternatives to provide health education to families and communities in efforts toprevent tuberculosis
Analytical study of software development process model variants

Software Engineering is a branch of Computer Science that evolved as a result of urgent need to deal with decades of software crisis, characterized by low theoretical knowledge and practice of the construction of error-free and efficient software. The introduction of well-organized scientific, engineering and management strategies in the process of software development no doubt led to major breakthroughs, and solutions to software failures. One of the obvious game-changer in this regard is the evolution of Software Development Life Cycle, also known as Software Process Model for driving the different phases of software construction. A sound understanding of the process model is therefore inevitable, not just for software developers, but also to users and researchers. Such a theoretical cum practical understanding will enhance decisions on which process model is best for a particular job or perspective. This invariably, contributes immensely to the probability of success or failure of the project in question. Thus, the necessity for this research. This work presents an unambiguous expository of selected software development model variants. A total of four process model variants were studied, in a theoretical, visual and analytical manner. The variants were analyzed using strength versus weakness (SVW) tabular scenario. This work was concluded by presenting guides towards choice of these models. This research is expected to be a useful reference to software practitioners and researchers.
Anxiety and Attitude towards Research in Graduate Students in Times of COVID-19, Lima-Peru

Objective: To know the level of anxiety and attitude towards scientific research in postgraduate students of a private university in Lima; also, to determine the association between the variables in a COVID-19 setting Method: Quantitative, non-experimental-descriptive-cross-sectional; population made up of 378 postgraduate students and a probabilistic sample of 206 doctoral students of a university, Lima-East Peru. The instruments used were the State-trait Anxiety inventory STAI to measure state anxiety and trait anxiety (Spielberger et al., 2015) and EACIN scale to measure the attitude towards scientific research. Results: the results evidenced that 85% of the participants presented a high level of state anxiety, while 44.2% presented above average trait anxiety; on the other hand, 42.7% evidenced a good level of attitude towards scientific research. The Chi-square test evidenced a significant association between the state anxiety variable and attitude towards scientific research at a confidence level of p=0.025 ˂ 0.05; on the other hand, the association between trait anxiety and attitude towards scientific research evidenced a confidence level of p=0.000 ˂ 0.05. Conclusions: There is evidence that the high average and high level of state anxiety and trait anxiety, propitiate a regular and good attitude towards scientific research of graduate students in Lima - Peru.
Case Study : Air Terjun Laundry / Nurul Athirah Anuar

Air Terjun Laundry is a business that provide facility of self-service to wash and dry the clothes without much personalized professional help. It is a well-known self-service laundry at Lembah Sireh since it is the biggest laundry shop at Kota Bharu and has been operating for 6 years. The facilities offered by Air Terjun Laundry including user-friendly coin-operated washing machines, dryers and Wi-Fi. There is also a vending machine for the customers to buy drinks
Marathi Text Document Summarization using Neural Networks

The internet is comprised of web pages, news articles, status updates, blogs, and much more. It is difficult to navigate through this data as it is unstructured and usually discursive. Manual summarization of large documents of texts is tedious and error-prone. Also, the results in such kind of summarization may lead to different results for a particular document. Thus, Automatic text summarization has become important due to the tremendous growth of information and data. It chooses the most informative part of the text and forms summaries that reveal the main purpose of the given document. It yields a summary produced by a summarization system which allows readers to comprehend the content of the document instead of reading every individual document. So, the overall intention of Text Summarizer is to provide the meaning of the text in fewer words and sentences. To perform extractive text summarization, we propose to use a Recurrent Neural Network (RNN) – a type of neural network that can perform calculations on sequential data (e.g. sequences of words) – as it has become the standard approach for many Natural Language Processing tasks.
Implementation of Fraudulent Sellers Detection System of Online Marketplaces using Machine Learning Techniques

The E-commerce proportion in global retail expenditure has been steadily increasing over the years showing an obvious shift from brick and mortar to retail clicks. To analyze the exact problem of building an interactive models for the identification of auction fraud in the entry of data into ecommerce. This is why the most popular site's business develops with retailers and other auction customers. Where viral customers purchase products from online trading, customers may worry about fraudulent actions to get unlawful benefits from honest parties. Proactive modesty systems for detecting fraud are thus a necessary practice to prevent such illegal activities. The shopping product is built according to the customer's requirements and is safer online and resting, and the rules and regulations that are necessary to follow no longer seem to be the best of workable selection, coefficient limits that facilitate the shopping product and make it easier for the user model to compete on each platform so that it can experiment.