Reviewerly/exHarmony huggingface dataset:
보육교사의 행복플로리시와 동료교사의 정서적 지지가 창의적 역할수행에 미치는 영향

The purpose of this study is to investigate the effects of emotional support of child care teachers on creative role performance. For this study, data of 270 childcare teachers working at daycare centers located in Chungcheongnam-do and Gyeonggi-do were collected and multiple regression analysis was conducted using SPSS 22.0. The results of this study are as follows. First, the higher the flow and achievement of happiness fluency of child care teachers, the more positive the effect on creative role performance of child care teachers, and the more negative the effect on the meaningful factors. Emotion, relationship, and overall happiness fluency did not have an affect. Second, the higher the emotional support of fellow teachers, the more positive the effect on creative role performance of child care teachers. These results are expected to be useful data for education and various approaches to enhance the creative role performance of teachers who have an effect on the creativity development of infants and young children, which are core competencies in the 21st century.
How Journalists Think About the First Amendment Vis-à-Vis Their Coverage of Hate Groups

This study, based on in-depth interviews with U.S.-based journalists (n = 18), explores the increasingly fraught circumstances of reporting on hate groups. We examine how journalists think about the First Amendment vis-a-vis their coverage of such groups. Through the lens of media ecology and First Amendment principles and theories, we argue ultimately that journalists who cover hate groups use the First Amendment to identify their place in the journalistic environment.
Adversaries call for reform of Big Tech after Justice Department sues Google

Calls for increased regulation of Big Tech have been amplified following the Justice Department's filing of a landmark antitrust suit against Google this week.
Critical Reading Teaching Materials Show R-Tam-Based Malay Teaching Loaded with Humanist Literacy: Future Language Learning Innovations

Critical reading teaching materials need to be innovated to fit the demands of future language learning. Critical reading learning needs to be combined with local cultural components to make teaching materials contextual. Therefore, it is necessary to play the role of Tunjuk Ajar Melayu (TAM, Show Malay Teaching), designed with humanist literacy-laden R-TAM using an online learning platform to create learning that suits the demands of future language learning. TAM is the principle of Malay community life in Riau. The principles of Malay society have shifted their role in today’s life. This problem is the basis of socialization through learning to future generations in an effort to anticipate the loss of Malay principles of life. This research was conducted in Pekanbaru, Riau, Indonesia, with the research subjects of lecturers and students of Indonesian Language Education. Data collection methods included observation, questionnaire, and interview. Data were processed using reflective analysis with the help of AntCon and Tag Crowd. The researchers described that the characteristics of future critical reading teaching materials require innovation with the content of R-TAM-based technology, which contains humanist literacy using critical psycho-didactic approaches, and TAM. Keywords: critical reading, Tunjuk Ajar Melayu, R-TAM.
Self-Awareness and Speaking Skill of Vocational Students of Sinar Metta Batam

Speaking is the crucial part to master in English, it can help people to connected with other people around the world. But in fact, students face some difficulties to learning English. The difficulties caused of several things; teaching strategy, curriculum, environment or the learners themselves. There are several emotional matters that play the role and influence students ability in learning, one of them is self-awareness. The objective of the study was to find the correlation between self-awareness and students’ speaking skill. The population of the study was the tenth grade of students at Vocational High School Sinar Metta Batam. The sampling technique was using census or total sampling because the population less than 100. The data obtained from questionnaire for self-awareness and speaking test. This research was using quantitative method to find out the result, where result of calculating rcount &lt; rtable (0.27
Compressive characterization of high-dimensionalclassical and quantum light sources

As our technology becomes increasingly moreoptically oriented every year, characterization of optical systemsis an important part of our future. This thesis covers much of thework I have done since the summer of 2013 on measuringhigh-dimensional optical systems. In particular, the researchexplored in this work is concerned with the continuous transversedegrees of freedom of both quantum and classical optical signals.To investigate these degrees of freedom at high-dimension, weperform high-resolution phase space measurements and correlatedimaging experiments. As the dimensionality of a system increases,so do the experimental resources needed to characterize and workwith that system. To this end, we continue the work of formerHowell lab member Gregory Howland using a signal processing methodcalled compressive sensing to shift the resource burden fromexperimental to computational. This allows us to take extremelyhigh-resolution measurements practically and efficiently. Thisthesis is not meant to be an introduction to the theory ofcompressive sensing or any other signal processing technique,rather it is show how we can use these methods to make smarter andless time-consuming measurements. In this work I will discussseveral experiments I have performed over the last few years.While this is not quite the chronological way my researchprogressed, the first experiment I discuss directly measuredoptical phase spaces of over a billion dimensions for coherent andpartially coherent light beams. After that I will discuss how weused a particular feature of compressive sensing to simultaneouslymeasure the joint position and momentum distributions of entangledphoton pairs. This is an extension of previous work perform by theHowell lab. The layout of this thesis is as follows. In Chapter 1,we will introduce optical phase spaces and correlated imagingsystems. Then we will introduce compressive sensing in Chapter 2and discuss the prototypical compressive sensing experiment: thesingle pixel camera. In Chapter 3, we introduce the weak valueformalism and show how it naturally leads to the directmeasurement of optical phase spaces. This chapter will alsoexamine our experimental work using compressive sensing to measurethese phase spaces at high-resolution. In Chapter 4, we willderive the quantum process of spontaneous parametricdownconversion and show how it produces photon pairs entangled inthe transverse degrees of freedom. Finally in Chapter 5 we willshow how we use compressive sensing to simultaneously measure theposition and momentum statistics of these photonpairs.
The Luxury Barbershop, RAD, UAT, Rancang Bangun Sistem Informasi Pada The Luxury Barbershop

The Luxury Barbershop is a barber shop that is quite famous in Pekanbaru City. The Luxury Barbershop also has many business partners who work together. The Luxury Barbershop already has a system, but the system still has limitations, namely the absence of sales and service features that are used to manage customer data. So that The Luxury Barbershop has not provided maximum service to customers and cannot map between new customers and loyal customers at The Luxury Babershop. Based on the existing problems, an information system was built that could be used to facilitate the management of sales and services at The Luxury Barbershop. So that to overcome this problem, an information system is needed that can manage sales and services at The Luxury Barbershop based on the website, the system is built using the Rapid Application Development (RAD) method by completing the 69-day system by doing 2 iterations. Based on the results of the Boundary Value Analysis test, it can be concluded that from 25/25 test scenarios, all input forms are in accordance with the system format, for the UserAcceptance Test, 100% satisfaction test results are obtained, the system is in accordance with user needs and is accepted as a whole, for usability test results. testing results obtained from the user satisfaction test of 83.43% stating that the overall information displayed is as expected.
Load Balancing in Cloud Computing Using Modified Round Robin Algorithm

Cloud computing uses planning and load-adjusting concepts to move businesses to underused VMs to share assets appropriately. The reservation of the non-preventive errands in the Cloud computing condition represents an irretrievable limit and must thus be assigned to the most appropriate VMs in the basic scheme. For all reasons, the jobs arriving include many linked companies and may execute free orders in separate VMs or the same VM centres. Likewise, occupations contact the base under various load circumstances throughout server time in fluctuating irregular intervals. Heterogeneous assets are monitored by dividing companies into appropriate assets with a static or dynamic booking to make the cloud computing more productive and therefore increase customer satisfaction. The aim of this work is to show and evaluate the suggested reservation and load adjustment computation, by considering the capacity of each VM, the duration of each task requested and the interdependency of various transactions. Contrasting and contemporary methods examine the execution of the suggested computation.
Fiver Optic Grossing Pen

Grossing is the most important part of any histopathological diagnosis. Traditionally, grossing is done using BP Blade and handle, but with recent advancement in technologies, there are various modified devices available which makes grossing less cumbersome and hassle free. Such devices are patented and are manufactured via various medical instrument manufacturing companies. The grossing device which is fabricated by us is slender, sleek and resembles a design of a pen. The entire body is made of stainless steel, with a rubber grip, providing a better stability and grasp. The most notable factor about this device is that it will have an inbuilt fiber optic lighting device which will make the device one of the best precision dissection devices. The pathologist will not have a problem with poor illumination during the dissection procedure.
New Methods of Teaching Natural Sciences – „Design Understanding – Developing the Lesson Backwards“

The article demonstrates how to apply new methods of teaching science by planning the lesson “backwards” and developing an interdisciplinary project, based on educational standards and curricula. The “Understanding by design” approach is applied in the planning of the activity in three stages: identification of the desired results, determination of acceptable evidence and development of the project.
Review paper - Implementation of Smart Pet Care Applications in an IoT Based Environment

The idea of information Technology and machines has become a rising demand, leading to the concept of interconnection between humans and machines. This concept has adopted a negative impact on human lives and their well-being. Because of this negativity, people tend to adopt pets to get emotional support. Pets require extra care, and it is not easy as it used to be with today's busy lifestyle. As a result, one of the significant challenges has been figuring out how to grow pets in a simple manner. The best solution for this kind of problem is to use new innovative technologies. In this matter, it should include an IoT-based solution. The question that led to this research was, How to implement a Smart Pet care Application within a proper IoT based Environment?. Implementation of a smart pet care application that satisfies every requirement of petting would ensure greater comfort and peace of mind for pet owners. This paper discusses the characteristics and technologies of the latest smart Pet Care applications and proposes solutions that satisfy the current requirements of pet owners. Before implementing this smart pet care application, a study was performed to identify features and facilities of existing pet care applications using related research papers. This research explores the impact of the IoT concept on the potential of smart Pet Care applications across modern technologies to facilitate human contact with pets. The outcome is an IoT-based mobile application that satisfies the users' requirements by analyzing these data.
An Innovative and Detailed Analysis of Bitcoins and Ethereum Cryptocurrency

In the modern era, in the terms of growth, people's wealth, departing style, and many other factors, Cryptocurrency have revolutionized the way people think now and in the future. Bitcoin and Ethereum have sparked a lot of interest in today's cryptocurrency industry because they are among the most popular ones among all other cryptos in today’s era. Cryptocurrency is widely utilized in a variety of sectors and has grown in popularity in the twenty-first century. Bitcoin and Ethereum are the world's top two cryptocurrencies, with Bitcoin topping the race in terms of crypto market value. This paper performs the analysis of last year’s day-to-day analysis of the world’s top 2 cryptocurrencies and shows the difference between their price, Open, High, and Low, also we will discuss a few basics on what is bitcoins and Ethereum and their technologies used.
Instalası FTTH ( Fıber To The Home ) Pada Konsumen PT Cıpta Informatıka Cemerlang

The utilization of information technology in everyday life has become a necessity for all of us. One example is the internet network or commonly called WiFi. This article describes the implementation of Job Training (KP) in a company engaged in the ISP ( Internet Service Provider ) in Batam City, named PT Cipta Informatika Cemerlang. The design and implementation of the WiFi installation is necessary because consumers at PT Cipta Informatika Cemerlang need an internet network for their needs. The author uses data collection methods in the form of observation and interviews. In the internet network installation stage, this research uses the PDDIE development method (Planning, Design, Development, Implementation, Evaluation). The results of this activity are implemented and used by consumers of PT Cipta Informatika Cemerlang
Modeling Users and Items for Recommenders:There Is More than Semantics

Recommender systems aim to help us to take better decisions and thus to save resources and increase satisfaction. Personalized recommendations are their main asset. In some domains, such as tourism or news, recommender systems rely more on content-based approaches to give personalized recommendations, due to domain-specific challenges. Content-based methods tend to recommend items semantically similar to the users’ previous consumptions. However, the content of items (e.g., text, visuals, categories, etc.) usually contains more than semantic properties.
Named Entity Recognition for Instructions of Chinese Medicine Based on Pre-trained Language Model

Named Entity Recognition (NER) of Chinese medicine text is a basic task of constructing medical and health knowledge graph. Many scholars have researched the NER task of electronic medical records and drug names, while many factors restrict the research of NER tasks for the instructions of Chinese medicine. For example, there is no obvious boundary between words in Chinese, and it is impossible to capture the interactive information between sentences and the global information at the same time. Considering that this type of data is highly professional and there is no publicly available data set. This paper collected 1,000 pieces of instructions of Chinese medicine, then explored the effectiveness of pre-trained models in NER task in this field. The experimental results showed that compared with the experimental results of the single or joint model on the same data set, the F1 value of pre-trained model was increased by 9.65% and 8.71% respectively.
Some class room methods of teaching

The best of the curriculum and the most perfect syllabus remain dead unless quickened into the life right methods of teaching. Method is the means of reaching pre-determined ends. All decisions regarding teaching procedures in different subjects should be governed by objectives of teaching these subjects. There is no royal road to successful teaching. There are many roads – highways and by ways royal roads and narrow lanes, delight- full paths and rough ones which need to be tried for me particular needs and situations. The teacher should be able to use permutations and combination of methods, devices and techniques to make teaching of different subjects interesting, vital and living.The best of the curriculum and the most perfect syllabus remain dead unless quickened into the life right methods of teaching. Method is the means of reaching pre-determined ends. It, in fact, form the most important link in the total teaching learning chain which has on one hand the goals and purpose and on the other, results and values.
The Intersection of GDPR, U.S. Discovery and Technology in the Financial Crime Discipline

The General Data Protection Regulation (GDPR) imposes customer-centric regulatory requirements for financial institutions and law firms. This chapter explores the challenges financial crime investigators and litigators alike must navigate to successfully access and process and transfer data subject to GDPR regulations, as well as the opportunities and limitations presented by available technology. Combating financial crime is undeniably predicated on global interconnectedness and the ability of financial institutions to process GDPR-regulated information. Similarly, litigation often requires sharing personal data subject to GDPR. Practitioners in both disciplines face certain implications. For instance, in the financial crime context, Article 23 suspends the application of data privacy principles when the essence of fundamental rights and freedoms is implicated and when it is necessary to prevent threats to public security. In the discovery context, litigators grapple with the subject’s right to erasure under Article 17, and when the U.S.-based duty to preserve data is triggered by a reasonable expectation of litigation. The technology implications are universal: using artificial intelligence and machine learning, single data points such as a customer’s name can be automatically scrubbed against hundreds of international watch lists, court cases and other publicly available information and used to build complex connections and profiles. Within the context of GDPR, it begs the following question: does an individual’s consent to sharing name, and other GDPR protected personal identifiers also extend to having that information amplified in an algorithm to populate, parse and predict potential criminal behavior? This chapter considers when an individual’s right to access may be restricted if a public threat or financial crime nexus is present (i.e. money laundering, fraud, terrorist financing) and how technology can further facilitate the appropriate level of information sharing while still complying with GDPR principles. It also explores conflicts between U.S. discovery rules, Article 15 (Right of Access) and Article 17 (Right to be Forgotten), and finally it reflects upon recent court decisions in the European Union (EU) and U.S. to illustrate how GDPR and increased individual data protection will affect financial crime practitioners and litigators.
Virtual Simulation Experiment of Singing Throat Function and Voice Part Determination

In order to improve the efficiency and economic performance of voice part determination, this paper proposes a method of voice part determination based on virtual simulation technology. The three-dimensional rotation and simulation model of the whole structure of the singing part are established to realize the dynamic simulation of the coordination of each cavity. The experimental results verify the effectiveness of the method, and the virtual experiment of determining the function and part of singing throat can perfectly explain the aesthetic thoughts from the aspects of "formation", "form", "performance" and "aesthetic feeling" of the vocal cavity.
Softmax Deep Boltzmann Cascade Neural Learning Technique For Image Classification

Classification is a considerable problem to be resolved in image processing.  Recently, few research works have been intended for image classification using various techniques. However, classification accuracy and time complexity of conventional algorithms were not sufficient. In existing techniques, the performance of deep Boltzmann Machine for identifying useful feature representations was lower. In order to overcome such limitations of conventional deep Boltzmann Machine, a novel Softmax Deep Boltzmann Cascade Neural Learning (SDBCNL) Technique is proposed. The SDBCNL Technique developed cascaded layer-wise learning that is applied to Deep Boltzmann architectures for accurate image classification. The SDBCNL Technique reduces the memory and time requirements of the training compared to existing works by learning feature representations that have increased correlation with the output on every layer. The SDBCNL Technique contains three main components namely input unit, hidden unit, and output unit to efficiently carry out the image classification process. The input unit in SDBCNL Technique gets a number of images from CIFAR-10 and CIFAR-100 Image Dataset as input and consequently forwards it to the hidden unit. Then, hidden units in SDBCNL Technique discovers key features such as shape, color, texture, size of objects in each input image. Subsequently, the extracted features at hidden units are forwarded to the output unit. In SDBCNL Technique, the output unit employs the Softmax activation function in order to accurately categorize input image into a multiple class with a lower amount of time consumption. From that, SDBCNL Technique enhances the image classification performance with minimal time. The simulation of the SDBCNL Technique is conducted using metrics such as accuracy, time complexity, false positive rate, and space complexity with respect to a diverse number of images.
포스트 코로나 시대의 한국어 쓰기 수업을 위한 LMS 활용 사례 연구 - 구글 클래스룸을 중심으로 -

The purpose of this study is to present the case of a Korean writing class that can realize process-oriented writing by utilizing Google Classroom as a learning management system(LMS) in preparation for the post-COVID-19 era. Taking a step beyond traditional writing classes for learners referred to as “digital natives,” this course intended to facilitate learning management using various online tools such as Padlets, Jamboard, Google Docs, and Google Forms with Google Classroom. Importantly, teachers of this course constantly interact with learners while monitoring their writing processes in real time to implement process-oriented writing classes. Writing classes like this can enable computer writing and can be used for portfolio evaluation. Learners positively evaluated the writing classes using Google Classroom, noting that they were highly satisfied with the levels of interaction, control of classes, interest, media utilization, and the classes as a whole, as well as the fact that the content could be learned on mobile devices without time and space constraints. Further studies should test the effectiveness of using a LMS in Korean writing classes with more learners.(Ewha Womans University)