Reviewerly/exHarmony huggingface dataset:
PENGGUNAAN MEDIA AUDIO VISUAL TERHADAP KETUNTASAN BELAJAR IPS MATERI PERKEMBANGAN TEKNOLOGI PRODUKSI, KOMUNIKASI, DAN TRANSPORTASI

This study, entitled use of audio visual media on social studies completeness in the development of production, communication, and transportation technology for fourth grade raises the issue of whether the use of audio-visual media can achieve completeness in social studies learning material development of production technology, communication, and transportation in the classroom. IV. This study aims to determine students' learning completeness using audio-visual media on the development of communication and transportation technology materials. The population in this study were all fourth grade students, totaling 51 students. The sample in this study was 26 students of class IV A for the 2020-2021 academic year. The approach used in this research is a quantitative approach, with the type of research is quasi experiment. The data was collected by means of tests. Study result test data, especially the material for the development of production, communication and transportation technology. The value obtained is what is taken as data. Then the data is processed using the percentage formula. The mean score of the students' test results was 82.41. Students who complete learning are 92%, namely 24 students and students who complete 8% are 2 students. Thus it can be concluded that the use of the use of audio visual media on the completeness of learning Ips material for the development of production, communication and transportation technology in grade IV students can achieve complete learning outcomes.
Piano Puzzler Preparation

This section, newly created for the third edition, is a response to the many private piano teachers and classroom music teachers who have suggested that it should be possible to create a fun and useful curriculum based on the <italic>Piano Puzzler</italic> segment of public radio’s <italic>Performance Today</italic>, which has been broadcast weekly since 2002. These exercises are necessarily for pianists and composers who play the piano because they require keyboard skills and a working knowledge of modes, harmony, and other compositional vocabulary and grammar. All of the exercises may be approached as improvisations and/or compositions to be notated. The penultimate exercise in this book, “Be a Private Ear,” provides a detailed checklist of the main compositional features that go into composing a piano puzzler. The Private Ear Checklist is a kind of shopping list that reminds you of what ingredients you need to cook something that Chopin, Brahms, Debussy, or Stravinsky might prepare. The final exercise is to use the skills developed in the preceding exercises to compose one’s own piano puzzler.
The Role of Parents in Times of Pandemic

The various transformations marked by social, economic and political life in the last decades, have given a prominent place to education, both in the education systems and in the institutions themselves as complex and modern organizations. In times of uncertainty, there are several proposals around education. It is also in this scenario that modality of distance education comes to assume a fundamental role for the development of education itself. Children were forced to adapt to a new teaching modality, the same was true of parents, who, in addition to accompanying students in their daily routines, also had to adapt to the telework modality, both involving technological challenges Through an exploratory-descriptive investigation with a quali-quantitive approach based on the application of a questionnaire addressed to parents, it was our intention to assess the parents' perception about the change to their daily routine and the difficulties they faced with the transition to the telework modality involving changes not only in their routines but also in the support for the study of their children given the change in the teaching modality for distance education due to the Covid-19 Pandemic.
An improved scheme for image scaling, cropping and colour correction in encrypted domain

While outsourcing of image storage and processing is an important service provided by cloud computing, ensuring data confidentiality in the cloud is one of the main concerns. Image processing in encrypted domain (or in a privacy-preserving manner), which performs operations over encrypted images, is receiving more and more attention. Having studied state-of-the-art solutions for image scaling, cropping and colour correction, we notice that the solutions are not compatible with each other so that there is no solution supporting all these operations; in addition, they all need extra overhead in image storage. In this work, we propose a scheme that supports image scaling, cropping, and colour correction in encrypted domain with minimum storage overhead. Its compatibility with modified Paillier-based cryptosystem scheme and optimised ElGamal cryptosystem is analysed. Storage performance is compared with existing solutions. Analysis shows storage requirement is drastically reduced while performance otherwise remains unchanged.
Equivalence checking for weak bi-Kleene algebra

Pomset automata are an operational model of weak bi-Kleene algebra, which describes programs that can fork an execution into parallel threads, upon completion of which execution can join to resume as a single thread. We characterize a fragment of pomset automata that admits a decision procedure for language equivalence. Furthermore, we prove that this fragment corresponds precisely to series-rational expressions, i.e., rational expressions with an additional operator for bounded parallelism. As a consequence, we obtain a new proof that equivalence of series-rational expressions is decidable.
Alert System of Earthquake Detection

Abstract: Global warning shows unpredictablenature that changes in subsurface geologicfeatures. Due to the complex nature ofseismic events, it is challengeable task to efficiently identify the prominent features that leads to seismic events. Taking the advantage of availability of Seismic dataset, AI using machine learning is a powerful statistical tools to mitigate these practical challenges for earthquake prediction. The paper focuses on the alert and prediction model of an earthquake using machine learning algorithm. The alert time is a function of distance from epicenter and most alert time is for high magnitude earthquake, because high magnitude earthquake rupture over much larger area and take time to propagate, thus delayed for warning. The main aim of the project is to build precise earthquake prediction model using XGboost regression in machine learning technique. The XGboost regression model implemented on the dataset of 14700 data records. The data is gathered from the Kaggle platform that contains data on events of the earthquake in Indian Subcontinent of 18 years and the last updated is of the year 2018. Tableau 2019 is explored for data visualization of the predicted outcome. The proposed technique is able to give precise prediction of earthquake with sufficient time that will reduce the maximum damages and many lives will be saved. Keywords: Seismic signals, XGboost, Tableau, Prediction.
Getting Started with HashiCorp Packer

This chapter covers the core concepts of HashiCorp Packer.
Preventing Data Counterfeiting Among Internet of Things (IoT) Devices using Ethereum Blockchain

In today's world we are surrounded with lot of IoT devices and sensors. This IoT devices has made our life easier and more comfortable utilizing the Blockchain and increase the security and efficiency of network. key features of Blockchain will bring resistance to unauthorized modification and devices. The Rapid development in this technology of IoT is getting into pool and Rapid more data is transmitted and process over the communication channels. As a result, these devices is deployed worldwide and even more advanced requirement in the practical application and performance. Most of the devices are highly centralized architecture and which then suffers from technical limitation as well as they suffer from cyber attacks. To solve this problem, we propsed a system in which a gateway is introduced. The role of the Gateway in smartphones is the most beneficial, yet it is a unified structure that presents many security issues such as integrity, certification and availability. This network consists of three levels, including smart home devices, gateways and clouds. Blockchain infrastructure is provided in the gateway layer so that data can be processed and shared as blocks. Blockchain guarantees the confidentiality of internal data outside smart homes and the availability by way of authentic communication between the application of the network for Ethereum-based Blockchain technologies, including time and precision, to promote decentralization and overcome the central architecture issue.
Integrating SAP and Non-SAP Data into a Single Data Model

This chapter will walk you through the scenario of implementing a new data model that combines SAP data and non-SAP data. The approach presented in this chapter will use BW/4HANA virtualization capabilities to combine two data models with different structures. In this chapter, you will learn how to integrate SAP and non-SAP models by utilizing the best from both the BW/4HANA and HANA worlds. By using the LSA++ architecture, we will get the benefits of virtual objects to avoid data redundancy and to make the architecture as lean and simple as possible.
RANCANG BANGUN RUMAH KOST BERBASIS WEB UNTUK MEMUDAHKAN PENCARIAN KOST DI KOTA BATAM

There a many problems to find boarding house such as find information from printed media, manually find from letter Terima Kost”. Therefore, it make a problem how to find a boarding house, that is what we wanted, because the searcher don’t know area and haven’t any friend that is know about boarding house, and how to booking boarding house. In Information System Based of Website Booking Boarding House, the author uses the waterfall system development. The waterfall method has many steps such as requirements analysis and specification, design, coding and testing, integration and system testing, maintenance. The result is an information reservation system of boarding house in Pekalongan websites based that can give information of boarding house as a boarding search and can make online reservations.
UAV based EM survey: the comparison with results of ground-based methods for gold-promising site investigation

Summary The results of UAV EM survey obtained at the gold-promising site are considered. The measurements have been implemented in frequency domain using semi-airborne technique. The frequency range of developed system is 100 Hz – 100 kHz and the depth of investigation is about 100 m for considered area. The possibility of using UAV EM soundings instead of traditionally applied DC methods for prospective ore zone detection is shown. ERT-IP survey are used at the local zone of allocated conductive anomaly for precise detection of anomaly zone parameters, determination of IP values and their source character.
SCHOOLOGY VALIDITY VALUE AS A LEARNING SUPLEMENT IN THE MOVEMENT SYSTEM MATERIAL FOR 2ND SENIOR HIGH SCHOOL

Learning supplements are additions or supplements used in the learning process, with the aim of supplementing existing material. One learning supplement that can be given to help the learning process is e-learning. schoology is one website that combines e-learning and social networking. The concept of schoology is almost the same as other types of e-learning, but schoology does not require a long time to upload and access to management of schoology is not difficult making it difficult for its users. This type of research is research and development (R &amp; D) research with using the 4D Model. The object of this research is the schoology based e-learningas a learning suplement. The learning media is The Movement Material System for the XI MIPA grade students of the SMAN 2 Pariaman. The subject of this research were 2 lectures Biology Department FMIPA UNP and 1 teacher of SMAN 2Pariaman as the validity of using this e-learning. The result of validation show an average value of 80.52 with a valid category. This shows of schoology based e-learning as a learning suplement is valid both in terms of the feasibility aspects of content, language, presentation, and graphic aspects.
The epistemological chaos of platform capitalism and the future of the social sciences

Networked digital platforms have destabilised and reconfigured long-established forms of knowledge production and communication, changing the ways in which we consume media and engage with the public sphere and expert knowledge. In this extract from their new book, The Public and Their Platforms, Mark Carrigan and Lambros Fatsis, outline how these platforms have reshaped the creation of public knowledge and why researchers should seek to engage with this transformed knowledge hierarchy in new ways.
MENINGKATKAN KREATIVITAS DAN KETERAMPILAN MENULIS WIDYAISWARA DENGAN MIND MAP

The low level of Widyaiswara’s creativity affects their ability to write scientific papaers. To overcome these problems, the aim of this study is to describe the improvement of Widyaiswara's creativity in writing with a mind map. This study uses a qualitative approach to library research methods in the form of books, notes and reports on previous research results. Data analysis is obtained through observations, interviews, notes, documents, etc. The data validity technique used the source and the technique of triangulation. While the data were analyzed using an interactive model for the data collection process, data reduction, data presentation and conclusions were drawn. This research resulted, among other things, in the ability of widyaiswara to write KTI was sufficient, although there were several aspects that had to be improved. Some of the barriers faced by the lecturer are lack of opportunities, library research, limited support facilities and lack of motivation, so that efforts are needed to improve writing skills through mind mapping
Intelligent Sensor Based Bayesian Neural Network for Combined Parameters and States Estimation of a Brushed DC Motor

The objective of this paper is to develop an Artificial Neural Network (ANN) model to estimate simultaneously, parameters and state of a brushed DC machine. The proposed ANN estimator is novel in the sense that his estimates simultaneously temperature, speed and rotor resistance based only on the measurement of the voltage and current inputs. Many types of ANN estimators have been designed by a lot of researchers during the last two decades. Each type is designed for a specific application. The thermal behavior of the motor is very slow, which leads to large amounts of data sets. The standard ANN use often Multi-Layer Perceptron (MLP) with Levenberg-Marquardt Backpropagation (LMBP), among the limits of LMBP in the case of large number of data, so the use of MLP based on LMBP is no longer valid in our case. As solution, we propose the use of Cascade-Forward Neural Network (CFNN) based Bayesian Regulation backpropagation (BRBP). To test our estimator robustness a random white-Gaussian noise has been added to the sets. The proposed estimator is in our viewpoint accurate and robust.
PREVENÇÃO E CONTROLE DA COVID – 19 POR PROFISSIONAIS DA ÁREA DE ENFERMAGEM: UMA ABRANGÊNCIA MULTIDISCIPLINAR

In this context, this article aims to expose, on the one hand, the health crisis in the world caused by the Covid-19 Pandemic and its effusive contribution in the assistance provided to the citizen in the nursing area.On the other hand, scientists from all over the world are looking for the creation of a vaccine with the objective of reaching the specific objective of the world population.This pathology also puts the nursing
속담을 활용한 중국어와 중국문화 교육방안 연구

As one of the studies on the Chinese and Chinese cultural education plans, this study examines their use for learning, focusing on the comparison of proverbs between Korea and China. This study aims to study high-level Chinese expressions and Chinese cultural elements contained in plans focusing on proverbs, one of the features of Chinese cultural vocabulary. Learners are encouraged to become familiar with Chinese culture in language activities, to understand Chinese culture, and to acquire cultural and active communication skills through various methods. This study is about the educational methods for the Chinese and Chinese culture through the comparison of Chinese proverbs and Korean proverbs. We compared Chinese proverbs with Korean proverbs in the same sense to see what commonalities and differences exist and to analyze the ingredients that make up the proverbs. If you look at the cultural background in which language expressions were created through proverbs, you will be able to communicate at a higher level. With non-face-to-face classes dominating the world, ZOOM, online interactions, and partial face-to-face and online teaching methods presented in this paper are thought to be well-utilized in other subjects.
Data Mining Pengelompokan Pasien Rawat Inap Peserta BPJS Menggunakan Metode Clustering (Studi Kasus : RSU.Bangkatan)

&#x0D; &#x0D; &#x0D; &#x0D; The system currently used by the hospital is still manual in managing patient data and information, therefore it is necessary to have a Bangkat Binjai Hospital Service system to provide complete and detailed information to hospital patients using BPJS. So in this case the author will design and build a system that will be used in grouping inpatients based on the BPJS Class and the variables determined using the clustering method, so that later it can make it easier for administrators to process data and information on inpatients using BPJS. From the tests carried out using the clustering method with the k-means algorithm, it can be seen that cluster 3 of the criteria for disease type, diagnosis result, and age, the group that has the highest set / value of BPJS Class patient data, namely in Cluster 1 totaling 435 patient data Inpatients using BPJS at the age of 20-39 years and the type of disease are benign tumors, then the BPJS class used is the Level 2 BPJS. Inpatients who use BPJS at the age of 20-39 years and the type of disease is heart complications, then the BPJS class used is BPJS Level 1. And the group that has the highest set / value of BPJS Class patient data, namely Cluster 3 totaling 270 inpatient data. who used BPJS at the age of 20-39 years and the type of disease was uric acid, then the BPJS class was used is BPJS Level 1.&#x0D; &#x0D; &#x0D; &#x0D;
CEREMONIELLE DIALOGISKE HILSNER BLANDT KUNA-INDIANERNE I PANAMA

Joel Sherzer: Ceremonial Dialogic&#x0D; Greetings among the Kuna Indians of&#x0D; Panama&#x0D; The Kuna Indians of Panama are the most&#x0D; northern group in Niels Fock’s comparative&#x0D; survey of ceremonial dialogue in lowland&#x0D; South America. Ceremonial dialogue is the&#x0D; form in which chiefs perform myth, history,&#x0D; and personal experience, in a chanted ritual&#x0D; and metaphorical language, to the Kuna&#x0D; community. Arkan kae, the ritual greeting&#x0D; between two chiefs from separate villages, is&#x0D; also performed in this way. The language of&#x0D; arkan kae, like the language of Kuna&#x0D; ceremonial dialogue more generally, is&#x0D; ritual, metaphorical, and poetic. With regard&#x0D; to content, arkan kae deals with the health of&#x0D; the chiefs and their villages, their travels,&#x0D; and their experiences. Arkan kae is the focus&#x0D; of this report, which includes a representative&#x0D; example. While not as ritually&#x0D; elaborated or structured, the arkan kae&#x0D; pattem of ceremonial dialogic greeting&#x0D; emerges between two friends or family&#x0D; members who have not seen one another for&#x0D; a long time, as they report and narrate to one&#x0D; another about their experiences during the&#x0D; period when they were separated. It should&#x0D; also be pointed out that the ceremonial&#x0D; dialogic model for speech, widespread in&#x0D; indigenous, oral societies in Latin America,&#x0D; is gradually but sometimes brutally&#x0D; becoming replaced with another model, with&#x0D; which it has long been in competition and&#x0D; conflict, the European derived, monologic&#x0D; and literate model.
An Interpretable Classifier for High-Resolution Breast Cancer Screening Images Utilizing Weakly Supervised Localization

Medical pictures vary in substantially greater resolution and smaller inter-est areas from natural pictures. As a result, neural network designs that perform well for natural pictures may perhaps not be relevant to the interpretation of medical photos. In this study, we propose to address these specific characteristics of medical pictures a new model for neural networking. This model utilises a poorly capable but still memory-efficient network to find the most relevant areas across the entire picture. It then applies a new network to gather information from selected areas. This network applies. Finally, a fusion module is used to combine global and local data to create a forecast. While current techniques typically need the segmentation of Le-Sion throughout training, our model is trained on just picture levels and may produce pixels that indicate potential cancerous discoveries. We use this model to check the interpretation of mammography: to predict the presence or absence of benign and malignant lesions. Our model exceeds (AUC = 0.93) ResNet-34 and Faster R-CNN in breast classification with malignant results using the NYU Breast Cancer Screenset dataset. Data set Our model performatively (AUC = 0,858) is achieved using state-of-the-art methods in the CBIS-DDSM dataset. Our model is up 4.1x quicker for inference compared to ResNet-34, while utilising 78.4% less GPU storage. Moreover, we show in a reading trial that our model exceeds the AUC level of the radiologist by a margin of 0.11.
Facebook expands Today In news service to 6,000 cities

Facebook's news initiative Today In is being expanded to over 6,000 cities and towns. But, will it actually help local news organizations?
A Study on the Early Korean Baptist Resistance Movement to Japanese Repression and Persecution

The Church of Christ in Korea, which focused on individual salvation and evangelical missionary work, launched a determined resistance movement and protested against martyrdom in the face of a crisis to protect the church and faith due to its policy of extermination of the Korean people. The resistance of the Church of Christ in Korea was different from that of others. It resisted substantially and specifically(Dynamic) to protect the truth; however, the legacy of this history of resistance has not been properly identified due to the lack of evidentiary document, and proper understanding and evaluation of orally circulating evidence have not been made. The Korea Baptist Convention should rediscover the spirit of the resistance movement, which is in line with identity of the Church of Christ in Korea, which is a historical legacy. The Korean Baptist should have a historical awareness of the Church of Christ in Korea to inherit their courage, dedication, and sacrifice.