Reviewerly/exHarmony huggingface dataset:
Analysis of the Effect of Speaking Skills on The Ability of Commenting Story Books with Talent as A Moderator Variable at Private Middle School in Medan

Abstract: This study aims to find out the level of students' ability to comment on storybook by determining the intrinsic elements. The level of students' ability to comment on storybook researched based on the effect of speaking skill. The method used in this study is the experimental method with quantitative approach. The data obtained by using the description test through recorder and oral test. Based on the story that has been read by the teacher, 38 eighth grade students who are chosen as the respondents are asked to retell the story in front of the class. The assessment given to the respondents include clarity, speech fluency, pronunciation fluency, intonation, word choice accuracy, body flexibility, subject mastery, and completeness. The results of this study indicate that in the post-test, the speaking skill of students reach an average value of 65.58, or categorized fair. Meanwhile, in the post-test, the students reach an average value of 80.21, or categorized good. Therefore, it can be concluded from the results that there speaking skill has an effect on students’ ability to comment on storybook in class VIII of Private Middle School in Medan. Thus, this proves that the data obtained by students categorized good. Keywords: Speaking, Skills, Commengting, Book, Talent
Pelatihan Penciptaan Musikalisasi Puisi sebagai Bentuk Apresiasi Sastra pada Siswa SMK Telkom Pekanbaru

Scientific articles are scientific papers of research results communicated in scientific publications, such as journals, magazines, or other publications. In schools, especially teachers who teach Bahasa Indonesia, are required to be able to motivate students to increase their reading interest in literature, because by studying literature students can get various benefits for their lives. Therefore, a teacher is required to be able to guide students to give appreciation for literary works, especially poetry. However, the reality in the field, teachers have difficulty teaching poetry musicalization. Because in addition to a calm understanding of literature itself, an understanding of music is also very important. This Community Service Activity aims to provide students with understanding and provide provisions for the ability to create poetry musicalization as an alternative in appreciating literature, especially poetry. The method used in this activity is in the form of workshops delivered with lectures, question-and-answer, and practical techniques. To find out the extent of student acceptance and understanding, as well as student abilities, at the beginning and end of the training an assessment or evaluation is carried out by filling out the pretest and posttest sheets. Based on the results of the tests that have been conducted, it is known that the participants experienced an increase in their understanding of the concepts of literary appreciation, poetry appreciation, and poetry musicalization from 64% to 100%. Starting from this understanding, students can be more creative in creating a poetry musicalization.&#x0D; Keywords: Literary Appreciation, Poetry Appreciation, Poetry Musicalization&#x0D;
SMART-Portal: A data tracking tool for research purposes from social media and news websites

Social media data has become an important source of information for different parties including researchers from various research fields.Rarely is information given regarding the methods used to acquire social media data to a satisfying degree that would allow the reproduction of research methods and results.With the goal of providing researchers with a method to collect social media data as easily as possible, this paper describes the development of a scientific tool to acquire such data and to use as a method to conduct future research which can be referenced in their work.This tool is named SMART-Portal and it provides researchers with the ability to track data online.Furthermore, it allows the exportation of data in multiple formats for different analyses in addition to allowing researchers to track data from different predefined news websites and Twitter.
WEB-BASED GEOGRAPHIC INFORMATION SYSTEM FOR LAMPUNG GIFT STORE

In the face of increasing technological advances, the development of society refers to the ability to keep up with technological developments and the ability to access and present useful information. Lack of information and knowledge about the location of the gift store makes the public or tourists only visit the nearest store or those suggested by friends and people around. This study aims to develop a web-based geographic information system to make it easier for people to find the location of Lampung gift store. In this study using extreme programming as a development method. Based on the results of testing ISO 25010 that has been carried out involving 50 respondents, the conclusion that the quality of the software produced has a success percentage with a total average of 90.66%. So it can be concluded that the percentage value obtained shows the overall software quality has a "Very Good" scale and is feasible to use.
Effective modern software tools for the development of electronic teaching aids

In the context of the transition to the updated content of education, the development and implementation of electronic learning tools in computer science is becoming more relevant than ever. The lack of e-learning tools, developed in full accordance with modern requirements, a variety of software tools and shells to create them, requiring a developer of different levels of training in the use of software, has necessitated a more detailed review and analysis of the problem of development and implementation in the educational process by teachers author's e-learning products. The article identifies the main advantages and disadvantages of some software tools for the development of electronic textbooks. The ArticulateStoryline program is singled out as one of the most effective modern software tools for the development of electronic textbooks in secondary schools. А сomparative analysis of software is carried out on a number of criteria: simplicity and usability, available in ready-made templates, the ability to work with layers, create test items, an opportunity to build ready graphics, video and sound files, the possibility of placing on a single slide multi-page text. The features of the Articulate Storyline program are presented in more detail. The possibility of using this software tool is noted, both by an ordinary user through the use of ready-made templates, and by a more advanced professional through the capabilities of the built-in JavaScript programming language. The program features are presented on the example of the development of an electronic textbook on computer science for the 4th grade. The result of the implementation of the capabilities of the software tool was the development of an electronic textbook, which reflects such features of Articulate Storyline as the use of a set of ready-made characters, the ZoomPicture function, the insertion of video files, a variety of interactive tasks organized through the use of Hotspot slides and SequenceDrag-and-Drop. The electronic textbook provides independent cognitive activity of students, increasing the level of their motivation in learning, ensuring self-control.
Percolation Distribution in Small-World Quantum Networks

Quantum networks have good prospects for applications in the future. Compared with classical networks, small-world quantum networks have some interesting properties. The topology of the network can be changed through entanglement exchange operations, and different network topologies will result in different percolation thresholds when performing entanglement percolation. A lower percolation threshold means that quantum networks require fewer minimum resources for communication. Since a shared singlet between two nodes can still be a limitation, concurrency percolation theory (ConPT) can be used to relax the condition. In this paper, we investigate how entanglement distribution is performed in small-world quantum networks to ensure that nodes in the network can communicate with each other by establishing communication links through entanglement swapping. Any node can perform entanglement swapping on only part of the connected edges, which can reduce the influence of each node in the network during entanglement swapping. In addition, the ConPT method is used to reduce the percolation threshold even further, thus obtaining a better network structure and reducing the resources required.
Research on Target Recognition Algorithm Based on Improved Faster-RCNN

Aiming at the problem of missed detection in target detection under special conditions such as occlusion, an improved Faster-RCNN target detection algorithm is proposed. First replace the VGG16 network with Resnet101 and optimize it. Secondly, improve the RPN module, extract features from feature layers with richer semantics, and use two 3 × 3 convolutions to obtain 5 × 5 convolution effects, while reducing training parameters and improving the detection accuracy of occluded targets; finally Improve the RoI pooling to RoI Align, cancel the quantization operation, and use the bilinear interpolation method to obtain the image values with the coordinates as floating-point numbers, thereby transforming the feature aggregation process into a continuous operation. The actual measurement results show that the algorithm is suitable for detecting occluded objects in different scenes and has good robustness.
REMOTE LEARNING IN THE CONTEXT OF SCHOOL EDUCATION: CHALLENGES AND OPPORTUNITIES

The COVID-19 pandemic brought a revolution in teaching learning process at all levels of education.School education is not an exception to it.Its impact found all around in varieties of ways.Educational institutions, teachers, teacher educators responded to this situation actively which ultimately forced the students and parents make a transition from conventional mode of classroom teaching learning process to online mode of remote teaching-learning process.A virtual learning environment is created for the students to manage the situation, as there were no other options available.The present piece of work is an attempt to assess the situation of online education (teaching and learning practices at a distance) at school level in Odisha.The findings of the study reflect a comprehensive view of various stakeholders (teachers, students and parents) associated with education of children at school levels and the need for an effective and efficient pedagogy for online education.It also established the fact to strengthen the resources required for making the online teaching learning process effective from the point of view of all stakeholders.The findings of the study also revealed how and why integration of technology (blending) is essential for capacity building of teachers and to support teaching-learning in the context of school education in Odisha.Also, the implications of this study are of very important for designing, development and implementation of online education for quality improvement in school education sustainably.
Transformative Blockchain Knacks for Bitcoin Cryptocurrency and Its Impacts

Every increasing use of digital or virtual currency in globe and its unpredictability, crypto-currencies are being adopted across world for various legal as well as illegal transactions. In returns received from crypto-currency, investments in recent times were enormous but there has always been an interrogation on their reality and reliability. At the present time, this technology signifies an innovative feature which will swaps available systems with distributed systems. This system supports different advance topographies like readiness, adjustment with the condition, error minimization, and decrease in price. This mechanism suited for many ongoing research and development also these technology usages cryptography techniques for security even though the current issues in digital crypto currencies. Bitcoin become success also it’s rising conspicuousness since its launch, it has affected in a number of companies unveiling unconventional crypto-currencies. The study attempts to understand the transformation from traditional currency to digital crypto currencies as Bitcoin and others with respect to their precariousness, stability, and its impact in recent times and edify current time developments.
EDUCATION OF A CITIZEN-PATRIOT: THEORETICAL ASPECT

The article points to the relevance of civil-patriotic education of the younger generation, the revival of patriotism and citizenship as a strategic goal of the education system. The essence of the concepts «patriotism» and «civic consciousness» is analyzed, the similarities and diff erences of these categories are determined. The emphasis is made on the fact that these categories are valuable. On the basis of the studies studied, the author presents his interpretation of the concept of «civil-patriotic education». The research is carried out on the basis of theoretical methods: analysis of psychological and pedagogical literature, conceptual and terminological analysis; normative documents on the research problem. The positions of scientists on the problem under study are analyzed. As methodological approaches, the following are distinguished: axiological, activity, environmental.
The Center for Continuous Professional Development “Ashmarin-Center” as an Instrument of Individual Trajectory of Professional Development

The purpose of the article is to present the practical experience of the regional center for continuing professional skills of pedagogical workers in the framework of the national project "Education", to describe the algorithm for the development and implementation of an individual educational route of pedagogical workers and management teams in the Chuvash Republic. Methods. In order to effectively organize the process of continuous improvement of professional skills of teaching staff, monitoring studies and analysis of professional skills of teachers at various levels of the education system - primary, general and secondary vocational - were carried out. Results. Based on the data obtained, advanced training courses for teachers with a focus on the practical part and individual work were reformatted. The practice-oriented component of the courses has been expanded by increasing the number of hours allocated for internships, practical classes and master classes by leading teachers. The methodological work of the Center is inextricably linked with the activities of professional communities, subject associations and methodological services. There is a constant exchange of experience and best practices to solve the problems of professional growth, in the process of discussing significant professional problems. Conclusions. The application of these techniques allows us to build an effective system of continuous professional development, which ultimately contributes to the development and strengthening of education in the region.
Efficient Breast Cancer Classification Using Histopathological Images and a Simpler VGG

Breast cancer is the second most deadly disease worldwide. This severe condition led 627,000 people to die in 2018. Thus, early detection is critical for improving the patients' lifetime or even cure them. In this context, we can appeal to Medicine 4.0 that exploits the machine learning capabilities to obtain a faster and more efficient diagnosis. Therefore, this work aims to apply a simpler convolutional neural network, called VGG-7, for classifying breast cancer in histopathological images. Results have shown that VGG-7 overcomes the performance of VGG-16 and VGG-19, showing an accuracy of 98%, a precision of 99%, a recall of 98%, and an F1 score of 98%.
Location intelligence system for people estimation in indoor environment during emergency operation

In the last years, location intelligence systems have been characterized by an increasing interest in several sectors.Among them, those of emergencies are mainly involved in order to enhance the rescue procedures and to reduce the intervention time, especially within indoor environment where GPS does not support the emergency operations.The authors define a low cost location intelligence system based on Channel State Information (CSI) of Wi-Fi and low-energy ESP32 SoC platform to analyze CSI data of Wi-Fi Signals.The technical solution utilizes wavelet filter to remove background noise in the CSI data, Principal component analysis (PCA) to reduce the dimensionality of the CSI data and get the most valuable data that are used as feature for the defined DNN model.The experimental results show the best performance of this model compared to the other machine learning (ML) algorithms analysed.
Sign Language to Text Conversion Using Deep Learning Techniques

Sign language is one of the oldest and most people used to communicate with people like Deaf and Dumb. Presently most people don’t know sign language and it’s become very tough to communicate with deaf people to clear those barriers. They created a real time live fingers spelling based application using Deep learning techniques. Gesture is the Symbol and physical emotion to the Deaf people. In this Method first hand is passed through the Filter and based on fingers it will predict the Alphabet and Display. Here I was using the VGG16 model which gives 99% accuracy for the 26 letters of the Alphabets.
Effective Methodology in Shopping Mart using QR Code

Today's shoppers are looking for more than just provided by websites. Malls have always been a destination . Shopping malls are the place where people get their requirements like food items, clothing, accessories, electrical appliances and so on. Malls are still considered a destination, but it’s because they now offer amenities, Experiences to enhance shopping experience. Brick-and-mortar retail clearly isn't dead. Sometimes customers face the problem of having incomplete information about the products and have to waste their time at the billing counters by waiting for their turn to come. Continuous updation is required in the traditional billing system to advance the quality of shopping experience for the customers. In addition, the process of obtaining the products is rather complicated as the shoppers must carry a basket each &amp; every time for finding the products they want and place them into the basket, also has to deal with the calculation of the expenses. In order to solve all these problems, this paper presents the development of effective methodology in shopping mart using QR code. In this smart shopping system, QR is provided to every product and hence shopper scan the QR code by QR code reader available in smartphone. All the details of product are provided to shoppers through QR code. The scanned product id will be transferred to the managing staff .Thus, proposed system saves time &amp; provide comfort by no longer waiting in the queue for paying the bill &amp; checkout.
Grammatikai eszközök kopula-funkcióban

Future workVe′rdd has relations other than translation relations to deal with.These include: "Etymological relation" for marking associations between cognates; "Compound relation" for associating compound words with the elements; "Derivation relation" for associating derived words with their source stems and derivational affixes.These could, in the future, be predicted automatically by incorporating methods such as the ones by Alnajjar et al. ( 2017), Hämäläinen -Rueter (2019) and Alnajjar (2021), test materials could be found in Keresztes (2013).Etymological relations between words of the Mordvin idioms may be readily augmented in Ve′rdd at the present by entering documentation metadata from sources such as (Keresztes 2011: 107-118), and even more extensive alignments can be found in the Mordwinisches Wörterbuch (1990Wörterbuch ( , 1992Wörterbuch ( , 1994Wörterbuch ( , 1996)), both at the lemma level and the etymology level (cf.Rueter 2020).Future work will involve the enhancement of parallel corpora development for Erzya and Moksha, both literary and vernacular in collaboration with other centers of Mordvin studies.The lexical resources we have created and described here could be used in future in research on morphological derivations, dialect areas and lexical distributions.Furthermore, this approach can be useful for other endangered languages as well.
Self-Efficacy Sources, Reading Self-Efficacy, Metacognitive Reading Strategies and Reading Comprehension Performance: A Correlational Study in Saudi EFL Context

Abstract&#x0D; The intended aim of this research was to identify the connection of Self-Efficacy Sources (SES) and Metacognitive Reading Strategies (MCRS) with Reading Comprehension (RC) by deploying reading Self-Efficacy Beliefs (SEB) as a mediating construct. A correlational design was utilized. Proportionate stratified random sampling was deployed to select a sample of 383 Saudi EFL university learners. Questionnaires and a reading comprehension test were employed to gather the data. Structural equation modelling was used to test the relationships. Results indicated that SES were substantially associated with SEB except physiological state. Moreover, all the three MCRS showed significant and positive association with SEB. Also, SEB were substantially associated with RC. Regarding mediation, it was discovered that SEB mediated the relationship among SES and RC except one source, i.e., physiological state. Moreover, SEB mediated the association between all the three MCRS and RC. This study provides several implications for learners, teachers, and policymakers.&#x0D; Keywords: Metacognitive Reading Strategies, Self-efficacy Sources, Reading Self-efficacy Beliefs, Reading Comprehension, Saudi EFL Learners
Face Mask Detection Using Machine Learning

Abstract: COVID-19 epidemic has affected our daily life disturbing the world trade and transport. Wearing a face mask has become a new necessity for safety. In the near future, many institutions will ask the customers to wear masks to avail of their services. Therefore, face mask detection has become a necessity to help society. This paper presents a simplified approach to achieve this purpose using some packages like TensorFlow, Keras, OpenCV and Scikit-Learn. This method detects the face from the image in frame and then identifies if it has worn a mask or not. As in a surveillance task, it can also detect a face along with a mask in movement through image processing. The method attains accuracy up to 93% and 91.2% respectively on two datasets. We explore optimized values of parameters using the Sequential CNN (Convolutional Neural Network) model to detect the presence of masks correctly. Keywords: Face Mask Detection, Convolutional Neural Network, TensorFlow, Keras, Image Processing
A Temporal-Spatial Spectrum Prediction Based on Homotopy Theory for UAVs with Arbitrary Flight Paths

The higher demand for wireless communication services has promoted the widespread use of unmanned aerial vehicles (UAVs), but the spectrum resources for UAVs communication are becoming scarce. UAVs can use spectrum prediction to find available frequency bands and share spectrum with other users to solve the problem of spectrum resources shortage. However, due to the rapid speed of UAVs and constantly changing spectral environment, it is difficult to obtain the historical data of the next location in advance. Therefore, the existing methods cannot be well applied to the actual scenario of UVA flying randomly in a certain area. Based on the concept of homotopy theory (HT) and Hidden Markov model (HMM), we propose a new method that first estimates the historical information of the next location, then performs the spectrum prediction at the next moment. We conduct experiments with simulated data, and the results show that the proposed method can effectively predict the spectrum state of UAV flying in a specific area on the premise of obtaining the prior information of limited locations.