Reviewerly/exHarmony huggingface dataset:
Using Fairy Tale In Enhanced Spelling Learning of First High School Student In The City Of Manado

. The problem with this research is that teachers in teaching students focus more on improving teaching methods. They are more interested in choosing learning strategies such as inquiry, STAD, jigsaw, learning cell, and so on that emphasize the application of learning steps. The teachers forget their role as facilitators and creators who always facilitate students with teaching materials / materials as a result of the creation of teachers that have an impact on learning outcomes that are less than optimal. To solve this, the teacher needs to prepare a reading "stock" that can teach spelling while attracting students' interest in learning. Therefore the right reading material given is a fairy tale because the fairy tale is close to the child. The purpose of this study is to describe spelling learning, especially word writing, the use of punctuation, the use of capital letters through learning fairy tales in SMP Negeri 1 Manado students. The specific target to be achieved is the Science and Technology-Social and Culture products, scientific publications and textbooks about fairy tales in Indonesian that can be used as a means to teach enhanced spelling to students of SMP Negeri 1 Manado. This research method is a method of action study or action research. Reflection on actions is part of this method. The data source of this research is VII grade students of SMP Negeri I Manado. The research location is the city of Manado. To collect data, the techniques used are tests, observations (using field notes and rating checklists), and interviews. The procedure of conducting research is planning, implementing, observing, and reflecting. The results showed that VII grade students of SMP Negeri 1 Manado could be categorized as capable of using spelling because the average grade of the class obtained was 88.74%. The ability of students to use spelling, especially capital letters at the beginning of a sentence and a dot at the end of a sentence can be categorized as very capable because the results achieved by students are 100%. Keywords: use; fairy tales; spelling.
INTERACTIVE MOODLE LESSONS FOR HEALTHCARE STUDENTS

One of the main reasons for the great interest in learning by technology is that it can be personalized and designed to fit the individual characteristics of each student. Moodle is a popular virtual learning platform, widely-used in Bulgaria, that implements the constructive learning theory and offers a range of functionalities to develop training with a focus on the student. This article explores the use of the `Lesson` module in Moodle to create interactive learning content for self-study of healthcare students. Students' views on the quality of the proposed lessons and on the benefits of this way of providing teaching materials were studied. Some problems have been identified that caused difficulties to the students. After corrections, the lessons were evaluated by students again. The results show that future healthcare professionals demonstrate critical thinking and positive attitudes, expressed in the opinion that the lessons are interesting, entertaining and engaging. The main conclusion of the study is that the Lesson module is a convenient opportunity to develop an interactive, student-centred e-learning.
RANCANG BANGUN SISTEM PRESENSI MAHASISWA MENGGUNAKAN QR CODE BERBASIS ANDROID PADA JURUSAN TEKNIK INFORMATIKA INFORMATIKA SEKOLAH TINGGI TEKNIK PLN

This thesis discusses the presence using the QR Code. Many systems today are easy to access online anywhere and anytime. The development of the internet is developing so rapidly and continues to innovate and create new breakthroughs. In improving the quality of the learning system when the tutoring takes place that is the QR Code scan presence system to record student attendance properly. This presence system was created using Android Studio with the Java programming language and the Web was created using Notepad ++ with the PHP Programming Language. Potential is based on location. With the stipulated distance. Where that means if the student is more than the distance specified, then the student cannot make a presence that is considered as a student who did not enter. This application was tested using the Black Box method.
Planting Pattern Modeling Based on Rainfall Prediction Using Backpropagation Artificial Neural Network (Case Study: BMKG Rainfall Data, Deli Serdang Regency)

Abstract The results of data analysis are known from the Agricultural Research and Development Agency that the cropping pattern in Deli Serdang Regency was initially rice-rice with changes in varieties, the cropping pattern changed to the rice-rice-rice pattern. The continuous rice cropping pattern for some time eventually caused new problems, namely the exploitation of rice pests (leafhoppers, Nephotettix Virescens, Orsealia Oryzae) and causing crop failure. This exploitative rice pest is one of the causes of the decline in agricultural productivity in the Deli Serdang Regency. The purpose of this study provides alternative solutions to increase agricultural production in Deli Serdang with modeling cropping pattern most profitable based on the placement of planting time that best suits the needs of rainfall in Deli Serdang that predicted using Neural Network Backpropagation so it can be used as guidelines in the utilization of agricultural land in Deli Serdang Regency. The model Backpropagation best in this study is 12-2-1, with the learning rate best 0.08 and best momentum 0.99 with Mean Square Erro testing is 0.0260. Based on the planting calendar and cropping models obtained from rainfall predictions, the cropping patterns that can be applied in Deli Serdang Regency are modeled, namely the cropping patterns of palawija-rice-rice, palawija-rice-palawija, palawija-palawija-palawija, and palawija-palawija-rice.
The Impact of Working Environment on Job Satisfaction of IT Employees: A Case Study of Infosys Ltd., Chandigarh

In today’s competitive scenario, long working hours is a common issue for the information technology employees. The challenges are not only to retain the talented employees by fully engaging them, capturing their minds and hearts at every stage. The present research study is carried out to investigate the impact of the working environment on job satisfaction of software professionals in Infosys Ltd, Chandigarh. By considering the work environmental factors of 100 employees, the study analysed the employees’ performance, and how it affects the job satisfaction of software professionals. With the total sample, out of 100 employees, 55 were male and 45 were females. The questionnaire was well designed and pretested for the data collection. The data was assessed by the means of statistical tools correlation and reliability statistics. Convenience sampling method is used for data collection. The study revealed that the working environment has a positive impact on job satisfaction of software professionals of Infosys Ltd., Chandigarh.
formation of information and analytical competencies of a library specialist

This article discusses the need for the formation of information and analytical competencies in the process of preparing library specialists for the information and library institutions of the republic during the transition to the digital economy
Evaluation of the e-Learning Utilization as a Learning System in Higher Education Institution

This study aims to evaluate the use of technology to support teaching and learning activities. Lecturers and students have applied e-learning to teach subjects. The purpose of this evaluation is to measure the success of the use of STMIK Bumigora e-learning by using the Technology Acceptance Model (TAM) approach, which is an approach that can explain user behavior towards the use of technology. Evaluation of the use of e-learning is formulated into a model based on the TAM model, while SEM (Structural Equation Modelling) is used for data analysis. Based on the measurement analysis in this study, several factors most influenced the effectiveness of e-learning, namely the usage tutorial for users, ICT facilities related to the Ease of accessing the internet network. Meanwhile, in structural analysis, it was found that attitudes toward the use and perceived usefulness were strongly correlated with real use factors. The actual use is a real condition of the use of e-learning measured by the frequency and duration of time in using the technology, which is influenced by the user's belief in accepting the existence of e-learning in STMIK Bumigora and user beliefs related to the benefits when using it. Therefore, attitudes toward the use and perception of usefulness are the main determining factors in measuring the frequency and duration of e-learning use.
Shallow SqueezeNext: An Efficient & Shallow DNN

CNN has gained great success in many applications but the major design hurdles for deploying CNN on driver assistance systems or ADAS are limited computation, memory resource, and power budget. Recently, there has been greater exploration into small DNN architectures, such as SqueezeNet and SqueezeNext architectures. In this paper, the proposed Shallow SqueezeNext architecture for driver assistance systems achieves better model size with a good model accuracy and speed in comparison to baseline SqueezeNet and SqueezeNext architectures. The proposed architecture is compact, efficient and flexible in terms of model size and accuracy with minimum tradeoffs and less penalty. The proposed Shallow SqueezeNext uses SqueezeNext architecture as its motivation and foundation. The proposed architecture is developed with intention for implementation or deployment on a real-time autonomous system platform and to keep the model size less than 5 MB. Due to its extremely small model size, 0.370 MB with a competitive model accuracy of 82.44 %, decent both training and testing model speed of 7 seconds, it can be successfully deployed on ADAS, driver assistance systems or a real time autonomous system platform such as BlueBox2.0 by NXP. The proposed Shallow SqueezeNext architecture is trained and tested from scratch on CIFAR-10 dataset for developing a dataset specific trained model.
The Mediating Effect of Teams Cohesion in the Relationship between Internal Recruitment and Teams Effectiveness at Jordanians Industrial Shareholding Companies

It was proved by research that teamwork in manufacturing organizations increases productivity, enhances organizations efficiency and guarantees quality of outputs. In this context, synergy, cooperation, strong relationships and coordination are essential to achieve the expected yield of teamwork. It is difficult to attain the required level of cohesiveness in the short run and among new employees. So that this study aims to find out the impact that internal recruitment has on both teams effectiveness in terms of (team productivity and quality of performance) and also on teams cohesion as a mediator between internal recruitment and teams effectiveness. &#x0D; &#x0D; The &amp;ldquo;Jordanian industrial shareholding companies&amp;rdquo; formed the population of the study, (43) Companies of these agreed to be part of the study, 260 questionnaires were distributed targeted production managers and supervisors.&#x0D; &#x0D; The results confirmed the cause and effect relationships between the three variables with the implication that internal recruitment has several benefits not only on teams&amp;rsquo; effectiveness and teams&amp;rsquo; cohesion, but also on job satisfaction and job commitment. &#x0D; &#x0D; Based on the results it is recommended to instill the teamwork spirit and cooperation culture within organizations. Lately this organizational unity became crucial for reducing the negative consequences of the COVID-19 pandemic.
DEVELOPMENT OF AUGMENTED REALITY ASSISTED LEARNING MEDIA TO IMPROVE CONCEPT UNDERSTANDING OF CHEMICAL BONDING TOPICS

The chemical bonding is one of the topics of discussion in chemistry that studies atomic and molecular structures that are difficult for students to understand because of their microscopic nature. Augmented Reality (AR) technology can combine three-dimensional virtual world objects into a real three-dimensional environment. Therefore, learning media were developed with the help of Augmented Reality (AR) for chemical bonding materials. This research is a research and development (R&D), with a modified 4D development model by Thiagarajan. The stages starting from define, design and develop. The data collection instrument used the material expert validation test instrument, the media expert and readability test to students. The data analysis technique used percentage descriptive analysis. The validity test of the material, media and readability test showed that the results of the media percentage were 87.9%, 79.87% and 87.6%, respectively. This percentage is included in the very valid category without revision.Thus, it can be concluded that the Augmented Reality media in the Chemical Bond material developed is declared very suitable for use in learning.
Research on Post Investment Evaluation of Distribution Network Infrastructure Project Adapting to Transmission and Distribution Price Reform

Under the background of the continuous promotion of the current transmission and distribution price reform, the company's investment strategy is constantly inclined to the distribution network, so it is more important to evaluate the implementation process and effect of its investment. Therefore, on the basis of the current distribution network post evaluation work, it is urgent to adjust the project investment post evaluation index system adaptively, and strengthen its application in investment management, so as to give play to its greater value in the company's investment lean management. For this reason, combined with the requirements of the current transmission and distribution price reform, this paper puts forward two suggestions for the current post evaluation work: first, to adapt to the transmission and distribution price reform, it is suggested to optimize the existing indicators and improve the adaptability of post evaluation work; second, it is suggested to strengthen the application of post evaluation results. Through the optimization of the above two points, the closed-loop investment management of distribution network project is formed, and the efficiency of investment management is improved.
GUEST LECTURES AS FORMS OF INTERACTION BETWEEN A HIGHER EDUCATION INSTITUTION AND EMPLOYERS IN FORMATION OF FUTURE SPECIALIST’S PROFESSIONAL COMPETENCES

Information about the paper titled "GUEST LECTURES AS FORMS OF INTERACTION BETWEEN A HIGHER EDUCATION INSTITUTION AND EMPLOYERS IN FORMATION OF FUTURE SPECIALIST’S PROFESSIONAL COMPETENCES" at IATED Digital Library
Writing YAML and Basic Playbooks

Ad hoc commands in Ansible are awesome; look how we were able to easily create the user account across all three systems. However, we must not let ourselves become too caught up in the excitement of what we have achieved; ad hoc commands were part of our journey but not the destination. So, let us celebrate that which we have achieved but not rest too long; we will move forward and begin our understanding of Playbooks and the basics of YAML. The first thing to understand is the acronym itself: YAML Ain't Markup Language. It is for data processing and not a markup language. The next and most important feature to understand and master is the use of significant leading whitespace. The indentation level of an element dictates the relationship with other elements in the file.
Digital extraction of knowledge from early-modern books

As information and communications technology has advanced, there is increased interest in digitally archiving books and other materials that previously have never been archived in such a way. This is beneficial to researchers, teachers, students and the general public, enabling them to easily access useful historical information. The digital archiving of old newspapers is a work in progress but there are obstacles to this as scanning fonts from 1850, for example, using optical character recognition (OCR), which is the main method used to convert materials to text, is challenging and it's not currently possible to perform a full text search. Professor Kazuki Joe, Department of Information and Computer Sciences, Nara Women's University, Japan, leads a team of researchers that are working to make it possible to perform full text searches for early-modern books, magazines and newspapers. This is an especially difficult task as the team is working with Japanese texts and the early-modern writing style in Japan is different from that of today. As such, the researchers first focused on the automatic conversion of letterpress book images into text and then realised the need for automatic translation of early-modern literary texts into present colloquialisms.
Persepsi peserta didik kelas IV SD terhadap pembelajaran IPA daring selama masa sindemi

This study aims to determine students' perceptions of science learning conducted online. The method used in this research is descriptive qualitative with a case study approach. The subjects to be researched were students in grade IV SD Angkasa Lanud Adi Soemarmo for the academic year 2020/2021 with a total of 16 students. The research subject was taken by using purposive sampling technique.. The data collection technique was done by interviewing. The data validation used time triangulation. Data analysis was performed using Miles and Huberman through data reduction techniques, data presentation and drawing conclusions.The results showed that students felt difficulties in learning science which was carried out through the network (online). The science learning that was carried out during the syndemic period was only in the form of assigning assignments and youtube videos through the whatsapp group owned by the students' parents. The science learning that was carried out during this syndemic period made students not understand what material was provided by the teacher. Science learning which only provides assignments and youtube videos without any explanation about the science material delivered makes students unable to understand the material that the teacher has delivered.
Download Psiphon 3 for PC Windows 7/8/8.1/10 or XP Laptops

Psiphon was the first android app that lets you use the internet beyond the normal limits. It became so popular among android users that people also ...
Perspectives Of Approach To Value Orientation Through Psychoanalytic, Humanistic, And Constructivist Paradigms

The present article includes various perspectives in value orientation research and theoretical study of scientific approaches concerning value and value orientation, their definition, structural contents, and methods of its investigation in context of psychoanalytical, humanistic, and constructivist paradigms. Any attempt in studying, researching, developing value orientation needs systematic fundamental and holistic approaching and interpretation. This article attempts to study scientific positions regarding values characteristic in relationship with other elements of personality, the structural components of the value orientation in different personalityâ€™s manifestations, the process of their formation and functioning. Paradigms examination can give us different benefits useful for initiating new researches and elaborating alternative methods for education with the purpose to improve learning process and personality formation.
The Structure of Teacher Discourse According to the Type of Mathematical Problem Transformation and the Subject of Transformation

The purpose of this study is to analyze the structure of teacher discourse according to the types and subjects of transformation of mathematical problems. To this end, the data was collected by observing the first semester (44 classes) class of a teacher with 20 years of experience practicing a teaching method that promotes student participation. Among the classes in one semester, there were 10 classes in which a teacher or a student transformed and communicated a problem while a teacher solved a given problem with students and guided the transformation of the problem. The type of problem transformation in the 10th class was to change the assumptions and conditions of the existing problem or to extend the problem. According to the two types of problem transformation and the subject of the problem transformation (teacher, student), each case of a total of 4 semesters was analyzed. As a result of the analysis, there was a structure of the teacher's discourse that induces problem transformation based on the student's participation independently from the problem transformation type and subject, transforms and solves the problem, and then arranges the routine of problem solving and problem transformation. In this way, the communication process between the teacher and the student according to the type and subject of problem transformation can be embodied in the teacher's discourse structure, thereby helping to develop a pedagogical method in which students participate in the problem transformation process in the future.
Central bank digital currency – nine key questions answered

Central bank digital currency is turning into a pre-occupation of central banks and much of the fintech world. Hundreds of pages of analysis have been produced in the last eighteen months. However, the concept dates back almost three decades and has so far had little impact on the world. So, what are the essential questions about CBDC that need to be answered?
APLIKASI CHAT-BOT TANYA JAWAB FAQ PENDAFTARAN PELANGGAN BARU PDAM KABUPATEN BONE MENGGUNAKAN METODE TF-IDF

Chatbot is a program in artificial intelligence that is designed to be able to communicate directly with humans as users. Information obtained from chatbot is expected to be able to help answer questions on the constraints faced by new customers of Bone Regency PDAM, such as constraints on working hours of employee offices so that outside these hours PDAMs cannot be visited, other than that customers must open a website to find information needed but sometimes the information needed is not listed on the website. Chatbot was built using the TF-IDF and Cosine Similarity methods. The TF-IDF method is a method for calculating the weight of a word to a document, while the Cosine Similarity method is a method for calculating the similarity between two objects expressed in two vectors by using the keywords (keywords) of a question as a measure. The data used in this study amounted to 7 FAQ questions, the results showed the percentage of the accuracy of the classification of system questions by 86%.
Visual Dynamics: Stochastic Future Generation via Layered Cross Convolutional Networks

We study the problem of synthesizing a number of likely future frames from a single input image. In contrast to traditional methods that have tackled this problem in a deterministic or non-parametric way, we propose to model future frames in a probabilistic manner. Our probabilistic model makes it possible for us to sample and synthesize many possible future frames from a single input image. To synthesize realistic movement of objects, we propose a novel network structure, namely a Cross Convolutional Network; this network encodes image and motion information as feature maps and convolutional kernels, respectively. In experiments, our model performs well on synthetic data, such as 2D shapes and animated game sprites, and on real-world video frames. We present analyses of the learned network representations, showing it is implicitly learning a compact encoding of object appearance and motion. We also demonstrate a few of its applications, including visual analogy-making and video extrapolation.