Reviewerly/exHarmony huggingface dataset:
An Investigating Students’ Perception on Asynchronous Online Language Learning during COVID-19 Pandemic: An Exploratory Study

The aims of this study are to investigate the perceptions of two vocational high school students majoring Animation and Accounting about asynchronous online learning during pandemic and how they overcome the challenges faced. This study used qualitative exploratory research design by conducting observation, interview and documentation to get rich data of the subject under focus. Moreover, the researcher used thematic analysis to analyse the data collected by following six steps proposed by Braun et al. (2019). The findings showed that asynchronous online learning strategies seemed to not fit the participants. The students more preferred learning that is conducted synchronously which for some students is perceived as a burden as they have to deal with the problem of internet data. Other findings also indicated that students who still had problem with material given were likely to have discussion with other students as an effort to overcome one of the challenges faced.
MAKNA DAN SIMBOL KESENIAN SINTREN SEBAGAI MEDIA DAKWAH ISLAM

Abstract&#x0D; This research is entitled Meaning and Symbol of Sintren Art as Islamic Da'wah Media. The study aimed to describe the symbols and meaning of Islamic da'wah media in sintren art. It employed a descriptive analysis method with a qualitative approach. The findings of the research revealed that the art of sintren as a medium of Islamic da'wah, from each scene has Islamic symbols and meanings which is a spectacle that guides the public. The Sintren performance has local wisdom values and icons for the people of Cirebon, for example, religious, social, educational, and language values. The results of this research are expected to have the power to foster public appreciation of traditional arts and to socialize the concept of local wisdom values through academic and community education.&#x0D; Keywords: Meaning, Sintren Art Symbols, Dakwah media
Automatic organization of a set in a heap

The organization of a set in the form of a heap is the basis for the construction of binary search trees. The algorithm for organizing a set in the form of a pile is laborious and requires a high volume of resources. In this paper we have automated the algorithm for organizing a set in the form of a heap. We developed a program in the C++ programming language that implements the heap generation algorithm and I analyzed a numerical example.
Transfer learning in Bayesian optimization for the calibration of a beam line in proton therapy

Bayesian optimization (BO) is a type of black-box method used to optimize a costly objective function for which we have no access to derivatives.In practice, it is frequent that a series of similar problems has to be solved, with the problem data changing moderately between instances.We investigate a transfer learning approach based on BO that reuses information from a previous configuration in order to speed up subsequent optimizations.Our approach involves learning the noise variance to apply to the function values of the previous configuration and adapting the exploration-exploitation trade-off of the acquisition function from the previous configuration.We apply those ideas to the calibration of a beam line in proton therapy where the goal is to find magnet currents to obtain a desired shape for the beam of protons, and for which the calibration has to be repeated for several configurations.We show that reusing information from a previous configuration allows a reduction in the number of iterations by more than 80%, and that using BO is superior to the conventional Nelder-Mead algorithm for black box optimization and transfer learning.
On the Temperature of SAT Formulas

The remarkable advances in SAT solving achieved in the last years have allowed to use this technology in many real-world applications of Artificial Intelligence, such as planning, formal verification, and scheduling, among others. Interestingly, these industrial SAT problems are commonly believed to be easier than classical random SAT formulas, but estimating their actual hardness is still a very challenging question, which in some cases even requires to solve them. In this context, realistic pseudo-industrial random SAT generators have emerged with the aim of reproducing the main features shared by the majority of these application problems. The study of these models may help to better understand the success of those SAT solving techniques and possibly improve them. In this work, we present a model to estimate the temperature of real-world SAT instances. This temperature represents the degree of distortion into the expected structure of the formula, from highly structured benchmarks (more similar to real-world SAT instances) to the complete absence of structure (observed in the classical random SAT model). Our solution is based on the Popularity-Similarity (PS) random model for SAT, which has been recently presented to reproduce two crucial features of application SAT benchmarks: scale-free and community structures. The PS model is able to control the hardness of the generated formula by introducing some randomizations in the expected structure. Our solution is a first step towards a hardness oracle based on the temperature of SAT formulas, which may be able to estimate the cost of solving real-world SAT instances without solving them.
Efektivitas Media Tangram Berpetak Terhadap Hasil Belajar Matematika Siswa Sekolah Dasar

This study aims to determine the effect of square-grid tangram media on student learning result, especially on polygon material. This research is a quasi-experimental study with the design of one group pre-test post-test conducted at one of the Elementary Schools in Bandung Regency. The samples from this study were 32 students with learning using square-grid tangram media. The data was processed with the help of IBM SPSS version 26. The test steps are 1) The Normality Test, and 2) T-Test. The conclusions of this study are 1) Achieving the ability of students in many facets using tangram media better, 2) The use of tangram media is more effective when used in polygon material, 3) Students more quickly understand the material and students feel motivated.
Undergraduate Students' Needs Toward Instructional Material During Pandemic

This study aims to get an overview of student needs for teaching materials during the covid-19 pandemic. The subjects in this study were 47 students of the out-of-school education study program class of 2020/2021. This type of research is descriptive with a qualitative approach. The data in this study were obtained from the results of a questionnaire distributed using a google form that has been provided by the researcher to find out the responses of students of out-of-school education study programs to the need for teaching materials during online lectures during the pandemic. The results obtained from the analysis of student needs for teaching materials during the pandemic are: first, during the pandemic in online lectures, as many as 91.5% of students are more interested in finding references or lecture materials digitally. Second, as many as 66.7% of students stated that the reason for choosing digital teaching materials was that they were practical to use. Third, 100% of students need interesting digital teaching materials. Fourth, as much as 76.6% can increase student motivation in learning. Fifth, for the form of teaching materials needed by students, as many as 82.6% of students need Android-based interactive textbooks because they are easy to access anywhere and easy to understand. This shows that students need teaching materials that support the lecture process during the pandemic, where lectures are conducted online.
Developing Cognitive Activities of Primary School Students based on an Innovative Approach

A teacher makes a logical observation of the problem based on his/her knowledge and experiences. Through reflecting the way of solving the problem, he/she makes a plan how to deal with the problem based on the feedback from the students and the results of the specific actions performed in the activities. Such research activities of students can give the expected results if they become a need to stimulate their cognitive activity. Therefore, solving different types of problems, changing the form of problems on the conditions and applying thinking operations serve as a means of shaping the interest of students in learning. The article describes the essence of the interest in learning, the specifics of the main stages of its development, shows that the teaching of mathematics is related to the learning objectives, describes ways and means of developing an interest in learning.
Study of Task Scheduling Strategy based on Trustworthiness

MapReduce is a distributed computing model for cloud computing to process massive data. It simplifies the writing of distributed parallel programs. For the fault-tolerant technology in the MapReduce programming model, tasks may be allocated to nodes with low reliability. It causes the task to be reexecuted, wasting time and resources. This paper proposes a reliability task scheduling strategy with a failure recovery mechanism, evaluates the trustworthiness of resource nodes in the cloud environment and builds a trustworthiness model. By using the simulation platform CloudSim, the stability of the task scheduling algorithm and scheduling model are verified in this paper.
Benchmarking Networked Music Performance Tools With the NMP-Bench Model and Architecture

Networked Music Performance (NMP) aims at establishing a live interaction between musicians remotely connected, which perform as if they were in the same room.While several NMP tools have been proposed through the last 20 years, a benchmark that aims at measuring and comparing their quality is currently not present.In this paper we propose the NMP-Bench (Networked Music Performance Benchmark) benchmark, the first approach to systematically analyze and compare the performance of NMP tools.Focused on server-based NMP and its auditory component, NMP-Bench provides a comprehensive approach to measure and quantitatively compare NMP tools, encompassing network, music, and effectiveness metrics, with the goal of understanding the technical gaps that may reduce the experience of the performers.The paper presents the NMP-Bench model and architecture, which is then applied to benchmark two NMP tools (in simulated settings with no actual musicians) over three music pieces of different music styles.Results show differences between the two tools; this supports our statement that NMP-Bench can be used to select the most suitable tool and to highlight strengths and weaknesses of NMP tools.
Method for adaptation of algorithms for efficient execution on GPUs

We propose a generalized method for adapting and optimizing algorithms for efficient execution on modern graphics processing units (GPU). The method consists of several steps. First, build a control flow graph (CFG) of the algorithm. Next, transform the CFG into a tree of loops and merge non-parallelizable loops into parallelizable ones. Finally, map the resulting loops tree to the tree of GPU computational units, unrolling the algorithm’s loops as necessary for the match. The method provides a convenient and robust mental framework and strategy for GPU code optimization. We demonstrate the method by adapting a backtracking search algorithm to the GPU platform and building an optimized implementation of the ResNeXt-50 neural network.
The Everalbum, Inc. Case, or How the Federal Trade Commission Protected Consumer Rights Regarding the Collection, Use, Storage, Dissemination, and Destruction of Facial Recognition Data

This essay aims to analyze and evaluate the In the Matter of Everalbum, Inc. case. The paper discusses the Ever facial recognition application, its history, how it was developed, and the effects of the user deactivation process. The following section outlines Section 5 of the Federal Trade Commission Act, focusing on unfair trade practices. The third section lists the issues in the case. The fourth section outlines the Decision and Order from the Federal Trade Commission regarding how the Commission demanded how Everalbum was to behave in the future. The comments by David Valentine and World Privacy Forum are summarized. A critique of the Order is provided, noting that by demanding that Ever album delete and destroy its facial recognition technology, the question of who then owned the technology is paramount. The essay concludes by observing that a balance must be struck between the benefits of employing facial recognition technology and its unknown and possibly unknowable detrimental effects.
Enhash: A Fast Streaming Algorithm For Concept Drift Detection

We propose Enhash, a fast ensemble learner that detects concept drift in a data stream.A stream may consist of abrupt, gradual, virtual, or recurring events, or a mixture of various types of drift.Enhash employs projection hash to insert an incoming sample.Benchmark tests on 6 artificial and 4 real data sets consisting of various types of drift show that Enhash is competitive with stateof-the-art ensemble learners while being significantly faster.It also has moderate resource requirements.
Virtual Disks Performance Analysis Using Flexible I/O and Powerstat

Abstract: Cloud computing has experienced significant growth in the recent years owing to the various advantages it provides such as 24/7 availability, quick provisioning of resources, easy scalability to name a few. Virtualization is the backbone of cloud computing. Virtual Machines (VMs) are created and executed by a software called Virtual Machine Monitor (VMM) or the hypervisor. It separates compute environments from the actual physical infrastructure. A disk image file representing a single virtual machine is created on the hypervisor’s file system. In this paper, we analysed the runtime performance of multiple different disk image file formats. The analysis comprises of four different parameters of performance namely- bandwidth, latency, input-output operations performed per second (IOPS) and power consumption. The impact of the hypervisor’s block and file sizes is also analysed for the different file formats. The paper aims to act as a reference for the reader in choosing the most appropriate disk file image format for their use case based on the performance comparisons made between different disk image file formats on two different hypervisors – KVM and VirtualBox. Keywords: Virtualization, Virtual disk formats, Cloud computing, fio, KVM, virt-manager, powerstat, VirtualBox.
INTEGRATING MICROSOFT IMMERSIVE READER IN SMAR MODEL TO PROMOTE STUDENTS’ READING COMPREHENSION

The use of technology has become more inseparable as a part of the learning process in and out of the class. It offers various new tools that can be utilized by both learners and teachers. Microsoft Immersive Reader (MIR) is one of learning tools which equipped with various features to help students reading comprehension. In addition, to assist teacher in using technology in classroom, SMAR model serves as a framework which allows the teacher to assess their use of technology and determine the level of technology integration in their classroom. This study focuses on how to utilize MIR with SMAR model in reading class. The study was conducted at English Education Department. There were 1 lecturer and 35 students of the second semester who took part as repsondents. The data were gathered from observation and interview. The result shows that the lecturer gives psotive view that MIR will improve the quality of teaching and learning and also improve students’ motivation in learning reading. The students viewed the use MIR as motivating, and various features on MIR enabled them to understand the assigned reading topic much easier. Moreover, the reading assignment incorporating the use of MIR features encouraged them to actively participate in reading activities in a collaborative atmoshphere.
Experiments on human incremental parsing of English

Experiments have been carried out in which human subjects incrementally constructed dependency trees of English sentences.The subjects were successively presented with growing initial segments of a sentence, and had to draw syntactic links between the last word of the segment and the previous words.They were also shown a fixed number of lookahead words following the last word of the segment.The results of the experiments show that lookahead of 1 or 2 words is sufficient for confident incremental parsing of English declarative sentences.
PENGEMBANGAN BAHAN AJAR ENGLISH-TEXTUAL-GENRE BERBASIS ANDROID DALAM IMPLEMENTASI PPK KURIKULUM 2013 EDISI REVISI

The implementation of the revised edition of the Curriculum of 2013 in Indonesia for millennial generation students does not focus on increasing the competency of the subjects only, but rather on improving the character, especially independence. This research is based on the issue of whether there is a significant relationship between teaching materials based on ETG (Educational Technology Gadget) on improving the competence of students' IBC and English as well as differences in student achievement in English subjects taught on an ETG basis when compared with non-ETG. The objectives to be achieved in this study are to investigate and examine whether there is a significant relationship between ETG-based teaching materials on improving the competence of IBC and English students and to find out whether there are differences in student achievement in English subjects taught with ETG-based if compared to non ETG ones. The research method is R&amp;D with a type of factorial design research sourced from quantitative experiments. Beyond literature studies, curriculum analysis, and surveys, research starts from pre-test, treatment, post-test, data collection and analysis which are then concluded as indicators of performance.&#x0D; Keywords: Character, Millenial Generation, IBC, English, ETG
To Assess the Effectiveness of Self-Instructional Module on Knowledge Regarding Selection of Play Articles for Children and Its Importance among Parents of 6-12 Years Children

Introduction: Kids are humanity's hope. The children of today are the masters of the world of the future. The saying goes, "Health is richness." Therefore, if children are happy, they will be healthier for the future generation, a healthy nation's result. Play articles are more than just playing things, but while they should be enjoyable, they should also be children's age-appropriate physical and emotional growth. It is necessary to consider playing items or playing articles as a cognitive learning tool for children.&#x0D; Objective: Assess the knowledge and effectiveness of the self-instructional module regarding the selection of play articles for children and its importance among parents of 6-12 years of children. Associate the post-test knowledge score with selected demographic variables among parents of 6-12 years of children.&#x0D; Methods: Study research design is a pre-experimental one-group pre-test post-test. Population in this study parent of 6-12 years children selected area of Wardha city with 80 parents to use close-ended structured questionnaires have been used in this study for assessing knowledge.&#x0D; Results: The finding of the study shows that the post-test, the sample was had a poor level of knowledge score, none of them had a poor level of knowledge score, none of them had an average level of knowledge, none of them had a good level of knowledge score, 52 (78.75%) had an excellent level of knowledge score and 28 (21.25%) have a very good level of knowledge, The minimum score was 13 and the maximum score was 19, the mean score was 16.79 ± 1.290 with a mean percentage score of 55.96%.&#x0D; Conclusion: The conclusion of this study shows that 28 (21.25%) having a very good level of knowledge and 52(78.75%) having an excellent level of knowledge.
A Survey on Various Median Filtering Techniques for Removal of Noise from Digital Image

The need for more accurate and visually beautiful photos is growing in tandem with the growth in the amount of digital images created every day. Modern cameras, on the other hand, capture images that are invariably damaged by noise, resulting in worse visual image quality. As a result, work must be done to minimise noise without sacrificing image quality. Processing of an Image is a promising technology. Reduction of Noise in image is the key point to maintain the quality of an image. The process of Noise diminish is the first step in image processing, analyzed data and image can be used in a range of fields like medical and education for input. The filtered image uses a variety of methods based on the type of image and behaviour. In this paper different types of filtering methods are discussed.
Full-field laser heterodyne imaging vibrometry

A laser heterodyne vibrometry using high-speed camera is proposed for full-field vibration measurement. A demodulation method is designed to mitigate the speckle noise. The experiment results are verified by the result from a LDV.
Balanced and Energy Efficient Multi Core-Aware Virtual Machine Placement Algorithm Using Multi-Dimensional Resource Space Partition Model

Optimal resource management is required in a data center to allocate the resources to users in a balanced manner. Balanced resource allocation is one of the key challenges in the data center. The multi-dimensional resources of a data center must be allocated in a balanced manner in all the dimensions of physical machines. The unbalanced resource allocation leads to unused residual resource fragments. The unused residual resource fragments leads to resource wastage. If the multi-dimensional data center resources are allocated in a balanced manner, the resource wastage does not occur. Also, the balanced allocation improves the power consumption. The balanced resource allocation reduces the resource wastage as well as reduces the power consumption. In this paper, we have designed a Balanced Energy Efficient Multi-Core Aware Virtual Machine Placement algorithm (MCA-BEE-VMP) using multi-dimensional resource space partition model to balance the resources like CPU and memory and also to reduce the power consumption. We used Google Cloud Jobs (GoCJ) dataset for the simulation. In our simulation of MCA-BEE-VMP using Cloud Sim simulation tool we have achieved balanced CPU and memory resources allocation in two dimensions of a physical machine. The resource wastage and power consumption is improved and the simulation results were analyzed.