Reviewerly/exHarmony huggingface dataset:
Implementation of the Five Language Continuum in the Development of Early Childhood Speech Skills

Early childhood is a golden age where children will grow and develop rapidly, so aspects of their development must be maximized. One of the components of language development is speaking. This study aims to describe the application of the Five Language Continuum in realizing Early Childhood Speaking Ability at Kindergarten Khadijah Wonorejo Surabaya. The research method was carried out qualitatively using a descriptive approach. The respondents were the children of Kindergarten Khadijah Wonorejo Surabaya and their teachers. Data collection techniques in this study are observations, interviews, and documentation. The data analysis techniques in this study were used by Miles and Huberman, namely data reduction, data visualization, and conclusion. The main result of this study is that children’s speaking skills are significantly developed by applying the five continuum languages. The main conclusion of this study is the application of the five language continuity, which is very helpful in development. This study’s main conclusion is that applying the five language continuums helps develop children’s speaking skills.
Introduction to Cloud Computing

Cloud computing is the latest buzzword in the technology industry, and for good reason. It has the potential to revolutionize the way people use computers. This chapter introduces cloud computing and explains what it is. You also look at some examples of cloud computing and learn about the benefits of using this new technology. Finally, you explore the different types of cloud computing and see how they have evolved over time.
Setting Up Your Development Environment

To develop cloud-native applications, you need a development environment. A development environment includes a set of tools and software you use to write, compile, test, and run your code. Setting up your development environment can seem daunting, but with the right instructions, it can be easy and straightforward. This chapter shows you how to set up your development environment for Java-based cloud-native applications. It includes detailed information about the necessary installation and configuration steps to get started with the required tools for your development environment. It covers the prerequisites and installation instructions for Java Development Kit (JDK), Maven, Git, Docker, and Kubernetes. It also discusses the benefits of using Docker and Kubernetes.
Deploy an ASP.NET Web Application to an Azure Web App Using GitHub Actions

DevOps is an important aspect for any application development process. The developers can develop the code and check it in to the source control repository. As soon as the code check processing is complete, the DevOps continuous integration pipeline builds the code and keeps the application’s deployable package in a centralized location. Then the DevOps continuous deployment pipeline picks up the package and deploys it to the target environment. This entire process repeats every time the developer makes changes to the code base and checks in the code. There are lot of DevOps tool offerings in the industry. A few of the popular ones are Jenkins, Azure DevOps, and GitHub Actions, to name a few.
Build a Worker Service to Process Messages from Azure Service Bus

In the previous chapter, we briefly discussed the enterprise Azure Service Bus and its key features. We explored ways to provision a service bus instance in the Microsoft Azure portal and interact with a service bus queue using our ASP.NET Core web application. You learned about ways to send as schedule a message to the service bus queue. In this chapter, we will build upon the knowledge gained from the previous chapter and explore ways to receive and process messages from the service bus queue.
IPFS and NFTs

When you think of creating a decentralized application, you definitely have a blockchain platform like Ethereum in mind. The use of blockchain technology is extremely beneficial for the management of states, the automation of operations through the use of smart contracts, and the trading of economic value.
Blockchain

Blockchain technology presents an innovative take on the traditional distributed database. The utilization of existing technology in unconventional settings is the source of the innovation. When we think of a traditional database like Postgres, there is a master node that accepts the write requests and is responsible for synchronizing the state changes to other Postgres nodes. In a decentralized setup like blockchain, there is no master node, but still it serves the same purpose of updating the ledger and making sure that other nodes in the network reflect the updated state correctly.
Truffle

So far, we have seen how to use the Remix integrated development environment (IDE) to create smart contracts, compile them, and then deploy them to the blockchain network. In our example, we deployed our contracts to the Ropsten test network. Apart from Remix, there are standalone frameworks that allow us to create, compile, test, and deploy contracts. Truffle is one such framework available to us.
Hardhat

In previous chapters, we have seen how to manage the lifecycle of Ethereum-based smart contracts using Remix IDE and Truffle. Now we will look at another framework known as Hardhat that can be used to manage the lifecycle of smart contracts. The lifecycle includes tasks like creating, compiling, testing, and deploying the contracts.
The Digitization in Legal Education

Digital psychology has affected human behavior, including in the educational sector. The advancement in digital exposure opens the possibility of learning in online-based systems. For years, this new shift has been considered to bring more advantages for people. Recently, this way of learning has been adopted by law schools as an impact of the pandemic in Indonesia. Forecasting the benefits of this digitalized education mechanism, this change is expected to last after the COVID-19 pandemic. Not only does offering help, but the change also raises some challenges and opportunities, including the potential markets for the higher education business, particularly law schools. This chapter analyzes challenges and opportunities to show how the digital world impacts legal education, its current development, and its future projection in Indonesia. This analysis applies qualitative methods supported by secondary data and information.
Interactive PowerPoint Learning Media on Beginning Reading Skills of Grade 2 Elementary School Students

This study was conducted to determine the presence or absence of the influence of interactive PowerPoint Learning media on the initial reading skills of Grade II SDN Candiharjo students. This study uses quantitative experimental research method with Pre Experimental Design research with Nonprobability Sampling technique that is saturated sampling in taking subjects, one group Pretest-Posttest design. This study used 33 subject of Class II learners. The results of hypothesis testing using Paired Sample T-Test. In the Pretest-Posttest hypothesis test obtained the value of Sig (1-tailed) 0,000 &lt; 0,05 and thit 16,543 &gt; ttab 2,040, so it can be concluded that there is a large positive and significant influence between the use of interactive PowerPoint Learning media on the initial reading skills of Grade II Elementary School Students.
Teacher's Efforts on the Ability to Read Aloud for Class V Students with the Cooperative Script Method in Indonesian Language Subjects in Elementary Schools

Reading aloud is an activity that makes a tool for teachers, students or readers and listeners to capture and understand information from the readings delivered by students. The researcher applies the cooperative script method for students. Cooperative learning is a type of group work including forms of activities that are guided and directed by the teacher. Cooperative learning prioritizes cooperation in solving problems to apply knowledge and skills in order to achieve learning objectives. As well as a learning method in which students work in pairs and take turns orally summarizing the parts of the material being studied. The purpose of this study was to find out the efforts made by the teacher for how to read aloud students while at school. This research is a descriptive qualitative type.
Development of Hybrid Learning-Based Storyboard Telling Media to Improve Students' Learning Understanding in Class 3 Ski Subjects MI Muhammadiyah 04 Moropelang

The use of learning media is needed by teachers and students in delivering messages or information to be more effective and innovative. Storyboard telling is one of the right media to convey historical material chronologically or sequentially because it is chronological so that it can improve student understanding that is still abstract. This study aims to analyze the feasibility and description of the effectiveness of the development of storyboard telling media based on hybrid learning in ski subjects to improve the understanding of third grade students of MI Muhammadiyah 04 Moropelang. The type of research used in this research is research and development (research and development) with reference to the ADDIE development model (Analysis, Design, Development, Implementation, Evaluation). Data collection techniques used are questionnaires/questionnaires, pretest and posttest, and documentation. Meanwhile, the data analysis technique used percentage quantitative analysis technique, and paired T-test analysis. The results of the feasibility test obtained by media experts are 88.57%, linguists are 90%, and content experts are 88% with an average eligibility of 89% with "very decent" qualifications. The results of the effectiveness test showed an increase in the pretest and posttest scores of 40.85% which were analyzed using a paired sample T-test with a probability value of 0.000 &lt;0.05 so it can be concluded that the storyboard telling media based on hybrid learning can be said to be effective seen from there is a significant effect on students' understanding of learning in SKI class 3 MI Muhammadiyah 04 Moropelang subjects.
Management of the Liqo' Program to Improve School Literacy at Elementary School Plus Muhammadiyah Brawijaya, Mojokerto City

A great nation is characterized by a literate and highly civilized society. The Indonesian nation as a large nation must be able to develop a literacy culture as a prerequisite for 21st century life skills. Liqo; as one of the habituation programs at SD Plus Muhammadiya Brawijaya is expected to be able to develop a school literacy culture. This research was conducted with the aim of knowing the liqo' program management system at SD Plus Muhammadiya Brawijaya to improve school literacy. The research method used is descriptive qualitative in the field of management science. The results showed that the management of the liqo' program at SD Plus Muhammadiyah Brawijaya, Mojokerto City was implemented by implementing four management steps, namely Planning, Organizing, Actuating and Evaluation, then applied through the stages of habituation, development and evaluation. teaching. Innovation from the implementation of the liqo' program accompanied by well-organized implementation management is very helpful in improving school literacy culture. The benefits of this research are expected to be a source or reference in the development of the School Literacy program.
Students Perception of Erlangga Book Reader Application in Listening Skill

Globalization Era presents a fun context through the use of application technology on mobile phones as a method of learning English in listening skills. such as the use of the Erlangga book reader application on listening skills, based on student perceptions. Erlangga Book Reader is an iOS and Android-based application to play multimedia content from Erlangga Book Publishers using a QR Code. The purpose of this study was to determine students' perceptions of the Erlangga Book Reader application on listening skills. This research uses qualitative research. Data collection techniques using a questionnaire. The results showed that students' perceptions of the Erlangga Book Reader had a significant effect on students' listening comprehension, although there were some difficulties felt by students. This can be seen from the results of the questionnaire given to 3rd grade students randomly as many as 20 respondents, from 10 questions that were answered.
Trends in Ph.D. papers in Korean Modern History

The purpose of this article is to reveal the actual status of doctoral papers in the field of Korean modern history produced by each graduate school in Korea for 22 years since 2000 and to find ways to improve graduate school education in the future. Over the past 22 years, 284 doctoral dissertations have been issued, with an average annual average of 12.3. During that time, 37 graduate schools produced doctoral degrees in the field of Korean modern history, and among them, the top 9 graduate schools accounted for 59% of the doctoral degrees. It was confirmed that the graduate curriculum needs to be improved in order to increase the academic achievement of doctoral thesis. The question should be raised more clearly, and the sources of the subject of historical study should be used more widely. It is necessary to develop the ability to create conceptual words by capturing the abstract legality inherent in concrete objects and to cultivate writing skills that enable wide communication with civil society.
Continuous-Time Trajectory Estimation for Differentially Flat Systems

Continuous-time estimation using splines on Lie groups has been gaining traction in the literature due to the ability to incorporate high-frequency sensor data without introducing new optimization parameters. However, evaluating time derivatives and Jacobians of Lie group splines is computationally expensive, limiting their use mainly to offline applications. Motivated by the trajectory planning literature, we develop a new estimation technique that leverages the differential flatness property of many dynamic systems to define the spline in the system's flat output space, which is often Euclidean. Doing so has the added benefit of providing a simple and effective way to include system inputs in the estimation process. We show an example of flatness-based estimation for the unicycle dynamic model. We then show that this new method can achieve similar performance as Lie group spline estimation with significantly less computation time, and validate its use in hardware using a differential-drive robot.
Mylan Pharms. Inc. v. Merck Sharp &amp; Dohme Corp. <i>United States Court of Appeals of the Federal Circuit, 2022 50 F.4th 147</i>

Biotechnology Law ReportVol. 41, No. 6 Mylan Pharms. Inc. v. Merck Sharp & Dohme Corp. United States Court of Appeals of the Federal Circuit, 2022 50 F.4th 147Edited for Biotechnology Law Report by CHRISTOPHER M. HOLMANEdited for Biotechnology Law Report by CHRISTOPHER M. HOLMANChristopher M. Holman is a Professor of Law at the University of Missouri–Kansas City School of Law; a Senior Scholar at the Center for the Protection of Intellectual Property at the Antonin Scalia Law School, George Mason University; and the Executive Editor of Biotechnology Law Report.*The synopsis is original content and the decision itself has been condensed for ease of readability.Search for more papers by this authorPublished Online:15 Dec 2022https://doi.org/10.1089/blr.2022.29290.cipAboutSectionsView articleView Full TextPDF/EPUB Permissions & CitationsPermissionsDownload CitationsTrack CitationsAdd to favorites Back To Publication ShareShare onFacebookTwitterLinked InRedditEmail View articleFiguresReferencesRelatedDetails Volume 41Issue 6Dec 2022 InformationCopyright 2022, Mary Ann Liebert, Inc., publishersTo cite this article:Edited for Biotechnology Law Report by CHRISTOPHER M. HOLMAN.Mylan Pharms. Inc. v. Merck Sharp & Dohme Corp. United States Court of Appeals of the Federal Circuit, 2022 50 F.4th 147.Biotechnology Law Report.Dec 2022.305-310.http://doi.org/10.1089/blr.2022.29290.cipPublished in Volume: 41 Issue 6: December 15, 2022Online Ahead of Print:December 7, 2022PDF download
The Sliding Scale of Sentence Discounts

This chapter discusses the adoption, and rejection, of a quantified sliding scale of sentence in comparable legal jurisdictions. The chapter begins with England and Wales, where the sliding scale of sentence discounts was first standardised. It then looks at Hong Kong, where its sliding scale of sentence discounts was a judicial creation of the appellate court that took inspiration from the developments in England and Wales. Afterwards, this chapter examines certain Australian states that have moved towards a quantified sliding scale of sentence discounts. It then discusses the two jurisdictions of Scotland and New Zealand, which have rejected the quantified sliding scale of sentence discounts in favour of greater judicial discretion. It is shown that despite the varying responses to whether quantified guidelines for sentence discounts for guilty pleas should be implemented, all the jurisdictions surveyed agree that earlier guilty pleas should generally attract higher sentence discounts, primarily justified based on the perceived utilitarian benefits of early guilty pleas.
Industrial Forum - I

Mobile and embedded computing devices have become key carriers of deep learning to facilitate the widespread of machine intelligence. However, there is a widely recognized challenge to achieve real-time DNN inference on edge devices, due to the limited computation/storage resources on such devices. Model compression of DNNs, including weight pruning and weight quantization, has been investigated to overcome this challenge. However, current work on DNN compression suffer from the limitation that accuracy and hardware performance are somewhat conflicting goals difficult to satisfy simultaneously. We present our recent work CoCoPIE, representing Compression-Compilation Codesign, to overcome this limitation towards the best possible DNN acceleration on edge devices. We propose novel fine-grained structured pruning schemes, including pattern-based pruning, blockbased pruning, etc. They can simultaneously achieve high hardware performance (similar to filter/channel pruning) while maintaining zero accuracy loss, with the help of compiler, which is beyond the capability of prior work. Similarly, we present novel quantization scheme that achieves ultra-high hardware performance close to 2-bit weight quantization, with almost no accuracy loss. Through the CoCoPIE framework, we are able to achieve real-time on-device execution of a number of DNN tasks, including object detection, pose estimation, activity detection, speech recognition, just using an off-the-shelf mobile device, with up to 180X speedup compared with prior work. Our comprehensive demonstrations are at: https://www.youtube.com/channel/UCCKVDtg2eheRTEuqIJ5cD8A
Structured light 3D imaging and its applications

The Scheimpflug principle is commonly used in single-camera-based and multi-camera-based MFPP systems to extend the mutual overlap range of different views in the object space. We set up a dual-camera-based MFPP system and performed 3D measurements of plates, standard balls, and some specifically designed samples using the phase map stereo matching method. We conclude that the dual-camera-based system wins in measurement accuracy, while the single-camera-based system has better integrity, which may provide a reference for the system design in implementing industrial applications.
Planning the Change

This chapter will cover helper-helpee collaboration in identifying and planning a MOW-based intervention; Prediction and Expectation as means to aid the Change process and Reflection; Re-Thinking and Re-Planning processes towards Change; approaches and methods employed by the MOW in the Change process.
Automatic Placement of Punctuation Marks by Using Neural Networks

The problem of automatically placing punctuation marks in a text divided into sentences is solved. The positions of punctuation marks such as comma, dash, colon, exclamation, and question marks are determined. Two approaches to solving the problem are considered. In the first one, the task is reduced to the classification of n-grams. The class of an n-gram is determined by the type of punctuation marks after its k-th token (n = 5, k = 3). A multilayer perceptron is used as a classifier, the input of which receives vector representations of n-grams formed using the word2vec model. In the second one, a neural network with a transformer architecture that receives an input sequence of tokens (IS) freed from punctuation marks is trained to generate a target sequence of tokens (TS) that allows punctuation marks to be placed in the original sentence. The TS is generated by the IS as a result of replacing tokens associated with punctuation marks with corresponding markers. The IS tokens that are not associated with punctuation marks are transferred to the TS without changes. To reduce the dictionary of tokens, word forms are replaced by lemmas, and text elements containing characters other than letters of the Russian alphabet are replaced by special tokens. In addition, for the same purpose, names, patronymics, surnames, toponyms, and numerals are replaced by special tokens. The classifier of word forms is proposed as a tool that defines parts of speech and named entities. Two types of IS and TS are considered. The IS of the second type is formed by the IS of the first type as a result of adding part of speech designations to the lemmas. TS differ in the way the tokens associated with commas are replaced by the corresponding markers. In TS of the first type, the token and the subsequent comma are replaced by a marker; in the TS of the second type, the token and the preceding comma are replaced by a marker. The effectiveness of the models is estimated by the precision and F1 indicators, which are calculated for each class and then averaged. The value of F1 is equal to 0.77 and 0.86 in the cases of using a classifier and transformer, respectively.
Modelling with Linear Equations of Word Problems of Movement

The article deals with word problems of movement on land, water, and air. It focuses on presenting the text of the problem with a diagram and a table.
Opportunities for the Formation of Elements of Natural Science Literacy while Studying Inanimate Nature in Grade 4

This article provides a theoretical analysis of the possibilities for the formation and development of natural science literacy in the educational and methodological set of the Prosveta Plus Publishing House (Kabasanova, Peshterska, Varbanova 2019), developed according to the current curriculum in Human and Nature for Grade 4 in the Inanimate Nature part. The basis for the choice of this topic is the intermediate place that the fourth grade occupies between elementary and junior high school, as well as the semantic significance of the specific learning content. Elements of the complex analysis have been used as a basis for the theoretical analysis, which allow us to reveal the existing relationships between the elements of the learning content and the characteristics of natural science literacy. This provides an opportunity to assess the complexity of the systems and to predict possible difficulties in learning the content and the formation of natural science literacy.