Reviewerly/exHarmony huggingface dataset:
Text classification problems via BERT embedding method and graph convolutional neural network

This paper presents the novel way combining the BERT embedding method and the graph convolutional neural network. This combination is employed to solve the text classification problem. Initially, we apply the BERT embedding method to the texts (in the BBC news dataset and the IMDB movie reviews dataset) in order to transform all the texts to numerical vector. Then, the graph convolutional neural network will be applied to these numerical vectors to classify these texts into their ap-propriate classes/labels. Experiments show that the performance of the graph convolutional neural network model is better than the perfor-mances of the combination of the BERT embedding method with clas-sical machine learning models.
Social and Emotional Learning is a Way to Recover from the Effects of the CORONA Pandemic Shock

This study aimed to identify the role of social and emotional learning as a means of recovering from the effects of the Corona pandemic shock, due to the educational, economic, social and health effects of this pandemic, and the study touched on the competencies of social and emotional learning, and some psychosocial support activities include social and emotional learning, logic models for social and emotional learning intervention at the school level, and inclusion of social and emotional learning in the curriculum.
REPRESENTATION LEVELS FOR TEACHING OF CHEMISTRY IN SECONDARY SCHOOL. ANALYSIS OF THE CONCEPTUAL REPERTOIRE AND ITS IMPLICATIONS FOR TRAINING TEACHERS

Information about the paper titled "REPRESENTATION LEVELS FOR TEACHING OF CHEMISTRY IN SECONDARY SCHOOL. ANALYSIS OF THE CONCEPTUAL REPERTOIRE AND ITS IMPLICATIONS FOR TRAINING TEACHERS" at IATED Digital Library
Mobile-Based National University Online Library Application Design: Mobile-Based National University Online Library Application Design

National university library services are still fairly manual because each process is still using paper book loan forms so there is no efficiency in the use of time and energy, besides the library extends the range of information provided to all national university students by building an application based on an Android-based library information system. In enhancing a process of development, an android- based library information system is built, using the system development life cycle (SDLC) method, which is an information system approach method used in making and developing applications. The goal is to achieve this research is to produce a library application that makes it easy for each book loan transaction to students can be done easily without any manipulation of making data that still uses forms. The desired result of this researcher is to make it easier for library members and their officers in making book loan transactions, making it easier for data processing
Sistem Informasi Pengelolaan dan Realisasi Dana APBDES Berbasis Website Pada Kantor Desa Pekuncen

At the village office of pekuncen still use microsof excel to process the details of making APBDes. The APBDes is a plan in the annual finance of the village that has been established by village regulation, with a projected source of income and spending intended to support the need for a development program of the village. The metode used in system building took the waterfall model. The processing of APBDes data and the existing filing process are less effisien because it takes time. In the meantime, there is also the need for transparency around the budget and the data processing problems of the Pekuncen Village Office. Therefore, an Information System for the Management and Realization of APBDes Funds based on a website at the Pekuncen Village Office was created with the aim of being more effective and efficient in managing time and transparency in the form of realization of budget funds in the form of a special website for visitors so that the public can find out information online. System that have been devised and tested using Black Box Testing, getting the results running well as they fit
Pose-Guided Person Image Synthesis for Data Augmentation in Pedestrian Detection.

In this paper, we present a data augmentation framework for pedestrian detection using a pose-guided person image synthesis model. The proposed framework can boost the performance of state-of-the-art pedestrian detectors by generating new and unseen pedestrian training samples with controllable appearances and poses. This is achieved by a new latent-consistent adversarial variational auto-encoder (LAVAE) model, leveraging the advantages of conditional variational auto-encoders and conditional generative adversarial networks to disengage and reconstruct person images conditioned on target poses. An additional latent regression path is introduced to preserve appearance information and to guarantee a spatial alignment during transfer. LAVAE goes beyond existing works in restoring structural information and perceptual details with limited annotations and can further benefit the pedestrian detection task in automated driving scenarios. Extensive pedestrian detection and person image synthesis experiments are performed on the EuroCity Person dataset. We show that data augmentation using LAVAE improves the accuracy of state-of-the-art pedestrian detectors significantly. Furthermore, a competitive performance can be observed when we compare LAVAE with other generative models for person image synthesis.
Do Iot Improvises The Business Efficiency – An Exploratory Study

The objective of the study was determine the opinion on IoT for business operational efficiency form the business units employing IoT technology. Further to identify the important improvement made by IoT to increase the business operational efficiency. Herein for the descriptive research design was adopted. The data was collected from 67 respondents from 38 different business units who were using IoT. The data were collected using a structured questionnaire. From the analysis carried out it was understood that the respondents’ opinion doesn’t differ on IoT. They indicate that, IoT significantly contributes to decision making, easy data storage and retrieval, helps in identifying and rectifying the mistakes quickly, Improves operational efficiency and better system monitoring easily.  Also it was identified that there is significant relationship between IoT and business efficiency variable such as; Complexity in business operations, Supports decision Making, System monitoring was made easy, Reduced Workload, Easy data storage and retrieval, Better Customers Retention, Creating Competitive Pricing of Products and Helps in Competing in business competitions. From the Pearson Coefficient values, which was positive, it was understood that IoT significant contributes to increase in Business efficiency.
Countability of Inductive Types Formalized in the Object-Logic Level.

The set of integer number lists with finite length, and the set of binary trees with integer labels are both countably infinite. Many inductively defined types also have countably many elements. In this paper, we formalize the syntax of first order inductive definitions in Coq and prove them countable, under some side conditions. Instead of writing a proof generator in a meta language, we develop an axiom-free proof in the Coq object logic. In other words, our proof is a dependently typed Coq function from the syntax of the inductive definition to the countability of the type. Based on this proof, we provide a Coq tactic to automatically prove the countability of concrete inductive types. We also developed Coq libraries for countability and for the syntax of inductive definitions, which have value on their own.
Analisis Implementasi Sistem Informasi Akuntansi pada PT Bisnis Teknologi Manajemen

In many practices, it is found that the implementation of accounting information systems in the field often encounters various kinds of obstacles. Starting from the information system is not in accordance with the needs, it could even be that the use of information systems can actually reduce company performance. ABSS Accounting, what are its advantages. Assessing the use of the accounting system using Microsoft Excel which was implemented before the implementation of ABSS Accounting. The results of this study are data collection methods used primary data data obtained directly from the company, namely by interviews and observations in related sections of the company. The author conducted interviews with employees of PT Bisnis Teknologi Manajemen. The results of this study are the accounting system using Microsoft Excel which is applied in the presentation of the financial statements of PT Bisnis Teknologi Manajemen. Using Microsoft Excel in preparing financial reports, users create an integrated system that can be used to help create financial reports. The point is to make certain formulas that make the sheets interrelated. The accounting system currently used, namely ABSS Accounting, is an accounting system that is more adequate and reliable than Microsoft Excel. ABSS Accounting can be categorized as a complex system because it has features that can be used according to company needs. What makes the implementation of an accounting information system based on ABSS Accounting can be beneficial for PT Bisnis Teknologi Manajemen because it has complete features that can make it easier for users and can be used forever without having to pay additional fees for updating.
LibGuides: Education: School-Subject Reading Lists

This guide one-stop-shop for services and resources to support classes in the College of Education.
APPLICATION OF THE PERMA MODEL IN AN INNOVATIVE STEM SUBJECT – SPACE RESEARCH

The article traces the application of the PER MA model in the innovative STE M subject Space Research. The design of educational solutions takes into account modern trends in the development of „soft skills“ and an integrated set of knowledge aimed at identifying and solving problems in the micro- (individual) and macro (global) context of the individual and the community in a period of dynamic digitalization and robotization of personal and social parameters and their consolidation into business intelligent systems (BIS ). The content design for the STE M subject Space Research is based on the PER MA model in positive psychology and presents the ways in which it is realized through: an integrated learning approach, combined with a set of hardware and software solutions that ensure the realization of goals, expanding the parameters of personal development of students and setting new challenges for learning and mental (cognitive and emotional) growth.
Toward the High Precision Predictive Coding in Video Compression

The main focus of this dissertation is on the optimal design of motion compensation scheme for predictive coding in video compression. The “sub-optimality” of conventional block-based motion compensation scheme, wherein the impact of a motion vector is confined within in a rigid rectangular block, motivates our design of a multi-hypothesis motion compensation scheme. We explicitly treat motion vectors as pointers to observation sources. Given the high-correlation between adjacent pixels in nature images, the motion vectors of neighboring blocks can point to relevant estimates of the current target. This dissertation work builds on this paradigm and demonstrates advanced techniques devised by incorporating the information of the entire motion vector field.We first directly formulate the problem of motion compensation with multiple estimates as a linear estimation problem, and design a training method to derive the optimal linear coefficients to avoid overfitting as well as to minimize the ultimate reconstruction errors rather than prediction errors. As a single set of coefficients cannot capture the varying statistics of video sequences, we design K sets of coefficients which are trained off-line through “K-mode” iterative clustering techniques. By switching between the predefined sets of coefficients, the encoder can adapt to local statistics. This approach is then extended to the setting of variable block size partitioning to enjoy the substantial gain provided by the flexibility of dividing blocks to approximate object shapes. As the additional side information to indicate the set of prediction coefficients used to generate the final prediction is generally not negligible, a parametric framework is proposed to model the statistics of estimates and target pixels. The model leverages the first-order Markov property for image signals and relationships between motion vectors in the motion field. As a result, the coefficients derived from the model can automatically adapt to local variations without additional side information. Moreover, using the parametric approach, we can combine estimates from any number of motion vectors at any pixel location, which allows us to completely break free from the block structure by allowing a motion vector’s influence to be of arbitrary shape.The reminder of this dissertation is focused on optimization on the AV1 encoder, the open source video encoder founded by the Alliance of Open Media (AOM). We first introduce a new coding tool to extend the number of reference frames, and then we use the existing coding tools to design a coding structure, wherein the reference frames are allocated to cover a wider temporal range to offer more diversities. This new design allows the encoder to better capture temporal variations. Finally, we introduce a complementary compound prediction mode, which is designed and optimized for the blocks where the existing compound modes fall short. Simulations provide experimental evidences for the efficiency of proposed mode with consistent coding gain across all bit-rate range.
C3PO: <u>C</u> loud-based <u>C</u> onfidentiality-preserving <u>C</u> ontinuous Query <u>P</u> r <u>o</u> cessing

With the advent of the Internet of things (IoT), billions of devices are expected to continuously collect and process sensitive data (e.g., location, personal health factors). Due to the limited computational capacity available on IoT devices, the current de facto model for building IoT applications is to send the gathered data to the cloud for computation. While building private cloud infrastructures for handling large amounts of data streams can be expensive, using low-cost public (untrusted) cloud infrastructures for processing continuous queries including sensitive data leads to strong concerns over data confidentiality. This article presents C3PO, a confidentiality-preserving, continuous query processing engine, that leverages the public cloud. The key idea is to intelligently utilize partially homomorphic and property-preserving encryption to perform as many computationally intensive operations as possible—without revealing plaintext—in the untrusted cloud. C3PO provides simple abstractions to the developer to hide the complexities of applying complex cryptographic primitives, reasoning about the performance of such primitives, deciding which computations can be executed in an untrusted tier, and optimizing cloud resource usage. An empirical evaluation with several benchmarks and case studies shows the feasibility of our approach. We consider different classes of IoT devices that differ in their computational and memory resources (from a Raspberry Pi 3 to a very small device with a Cortex-M3 microprocessor) and through the use of optimizations, we demonstrate the feasibility of using partially homomorphic and property-preserving encryption on IoT devices.
The Implementation of Non-Sequential Strategy to Face TOEFL ITP Problems

TOEFL was seen as a prerequisite for non-native English students to study abroad, to get a suitable employment, and to get a university diploma. Students also found it challenging to complete the TOEFL reading exam. This was an experimental research based on applying a non-sequential strategy. This study aimed at investigating whether the use of non-sequential strategy was effective to complete the reading comprehension session in TOEFL ITP or not. 100 English university students engaged entirely in the study as participants. They were studying at Universitas Nahdlatul Ulama Sunan Giri (UNUGIRI) located in Bojonegoro, Eastern Java, Indonesia. The researcherss provided the students a pre-test and post-test in order to collect the data. The students were permitted to perform the exam on their own during the pre-test. In this pre-test the researcherss provided no special instructions. In the post-test, the participants got a preferential treatment. The students were advised to follow a non-sequential strategy for the exam. The data were produced through the students’ compilation of TOEFL scores. The data were anlyzed by comparing the students’ scores in pre-test and post-test. The results showed that a non-sequential strategy to complete the reading comprehension session of the TOEFL test is very effective to be implemented. This result is addressed further in this article.
ANALYSIS OF DATA SETS USED FOR QUALITY ASSESSMENT AND MANAGEMENT IN THE EDUCATION SYSTEM OF THE RUSSIAN FEDERATION

E. Benks1, B. Ilyukhin1, N. Serbina1, E. Lepustina2 1The Russian Presidential Academy of National Economy and Public Administration (RANEPA) (RUSSIAN FEDERATION) 2Tomsk State University of Control Systems and Radioelectronics (RUSSIAN FEDERATION)
the effect of the Giving Question and Getting Answer learning model on the learning outcomes of the biology of the blood circulation system concept in class XI students of SMA Negeri 2 Makassar

Abstract . This research is a quasi-experimental research which aims to (1) determine the effect of the Giving Question and Getting Answer learning model on the learning outcomes of the biology of the blood circulation system concept in class XI students of SMA Negeri 2 Makassar. (2) knowing the results of studying the biology concept of blood circulation in class XI SMA Negeri 2 Makassar. This study used a research design Pretest Posttest Control Group Design. The population in this study were all students of class XI SMA Negeri 2 Makassar and the research samples were XI MIPA 3 as the experimental group and XI MIPA 4 as the control group. The sampling technique was saturated sampling. The research variable consisted of independent variables, namely the Giving Question and Getting Answer model, while the dependent variable was student learning outcomes. The data were collected from the results of student learning tests through the pretest and posttest, which were then analyzed descriptively and inferentially. Hypothesis testing used is Normality Gain and Independent Sample t-Test. The results showed that the average value in the experimental group was 77.04 while that in the control group was 65.45. The results of the Independent Samples T-Test analysis test, obtained a significant value of p = 0.002 <α = 0.05. This means that H0 is rejected and H1 is accepted, thus the Giving Question and Getting Answer model affects the biology learning outcomes of class XI students of SMA Negeri 2 Makassar.
Social Engineering Guide

Social engineering is both a psychology and ICTN topic that is generally left to be described as a few terms and for those new to the fields it may not be enough. This paper provides a more in depth look at the various methods and how to prevent them. The reason why social engineering exists will be covered in the intro then followed by the goals of social engineering. A psychological view will be provided based on human behavior while the technical view will be discussed in each type of attack with its countermeasures. Phishing will be discussed with more depth since it has multiple variants that need to be discussed. The general security measures section is a couple of recommendations that are effective for social engineering types that were not discussed or are not known, the are based on observations on the discussed types. A summary is at the end providing a brief rundown of what was discussed.
Perspectives of business process ethics in data-driven marketing management

© 2021 The Authors. Security and Privacy published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
Distant professional training of additional education teachers at Pedagogical University

Examined are possibilities of an innovative approach to improving the qualifications of teachers of additional education on the example of the Altai State Pedagogical University. The advanced training program for teachers of additional education “Professional activity of a teacher of additional education in modern socio-cultural conditions” contributes to the development of the competencies necessary for the professional activity of a teacher of additional education in accordance with the requirements of the professional standard “Teacher of additional education for children and adults”. The innovative content of distance education for this category of teachers is dictated by changes in the regulatory framework of pedagogical activity, namely, the approval of the 2018 “Professional standard for teachers of additional education for children and adults”, new requirements of innovative projects of the Development Program of an educational institution. The remote form of organizing advanced training courses for teachers of additional education at the Altai State Pedagogical University serves as an experimental platform for further designing retraining programs for teachers of additional education and contributes to obtaining high-quality advanced training for specialists from the most remote parts of the region without interruption from work. The presented program of distance courses for advanced training will have positive results in terms of promoting IR technologies in the educational space of the Altai Territory.
On organizing online lessons using the Zoom program

The article emphasizes the importance of distance learning in educational institutions in the context of the spread of the Covid-19 virus in the world. Shown the possibilities of effective use of various software platforms in web teaching, and the organization of online lessons in the Zoom software environment.
RANCANG BANGUN SISTEM EMPLOYEE ATTENDANCE PADA PT AUZANA INDUSTRI

The purpose of this study is to find out how to design employee payroll information system for employee salary calculations more quickly and accurately so that employee salaries can be processed by the leadership company PT Auzana Industri; As well as to know how to implement the results of payroll system design into a Web-based information system so that the results can be used by HRD PT Auzana Industri. Based on these problems, it is necessary to do the analysis so that the results can be obtained with the discovery of the necessary needs for software built. Analysis is done by analyzing the needs, users and facilities needed by the built software is really useful. Based on the results of problem analysis that has been done before, it can be designed a software by doing data analysis using software paradigm in waterfall. Based on the results of writing the Final Assignment can be concluded that, has succeeded in making Payroll Information System software that can assist in processing data sallary and can display information required by users of PT Auzana Industri.