Reviewerly/exHarmony huggingface dataset:
HOW TO DESIGN PODCAST FOR LEARNING WITH THE RAPID PROTOTYPE MODEL

A podcast is a digital audio recording disseminated over the internet that can be transmitted, played, and downloaded directly to consumer media devices, including portable music players, computers, laptops, and smartphones. It can be categorized as an m-learning strategy for teaching and learning. It allows students to learn independently, easy to use, dynamic content meeting to listeners’ needs, and portable. The categories of using podcasts for learning are as sub-constitutional, supplemental, and integrated. Several things need to be considered in designing a podcast for learning covering its course’ objectives, students’ character, goal, type, writer, correlation to other teaching materials, a style used, duration, media, technology and material, sound used, the image included, and music. In designing a good podcast for learning, it is necessary to apply a systematic learning system's systematic procedure. This article discusses how to design podcasts for learning with The Rapid Prototype Model. This model is an instructional design method used to design and develop models with the stages of needs analysis, content analysis, determining objectives, constructing prototypes, utilizing prototypes, and installing and maintaining the system.
Controlador Fuzzy-PID Adaptativo Otimizado por PSO para Controle de Ventoinha

In this work, was designed a PSO algorithm to optimize a fuzzy controller by choosing the limits of the discourse universe of the inputs and outputs, and the respective membership functions, to find the lowest settling time of a cooler on a board trigged by PWM setting with microcontroller PIC18F4550.
Facilitating iteration in service design in libraries

Library services have been continuously challenged by the dynamics of sociotechnical and individual influences. Therefore, library services must be designed and improved iteratively to address these constant changes. Iterative design, one of the major principles of service design, can be adopted to help libraries develop and implement their products and services. This approach arranges all design processes in a non-linear sequence. The designers should be able to go back to any earlier step as soon as they discover new problems. Inexpensive, quick, and effortless prototype development and testing becomes a critical assessment method to ensure that the design is responsive to user feedback. At the same time, the feedback received from the prototype testing must be focused, reliable, and useful. Roles of prototype development and testing as assessment methods are highlighted in this chapter. Since the design of library services are multifaceted and complex, challenges of iteration design in libraries, as well as approaches to facilitate efficient iteration design, are addressed. Recommendations and case studies of the iteration design process in libraries are also presented.
Efficient and Secure Multi-party Computation for Heterogeneous Environment

Abstract: MPC (multi-party computation) is a comprehensive cryptographic concept that can be used to do computations while maintaining anonymity. MPC allows a group of people to work together on a function without revealing the plaintext's true input or output. Privacy-preserving voting, arithmetic calculation, and large-scale data processing are just a few of the applications of MPC. Each MPC party can run on a single computing node from a system perspective. Multiple parties' computing nodes could be homogenous or heterogeneous; nevertheless, MPC protocols' distributed workloads are always homogeneous (symmetric). We investigate the system performance of a representative MPC framework and a collection of MPC applications in this paper. On homogeneous and heterogeneous compute nodes, we describe the complete online calculation workflow of a state-of-the-art MPC protocol and examine the fundamental cause of its stall time and performance limitation. Keywords: Cloud Computing, IoT, MPC, Amazon Service, Virtualization.
PELATIHAN PENGUASAAN MENGETIK CEPAT 10 JARI DENGAN METODE DRILL DI SMK NEGERI 5 BANDAR LAMPUNG

The purpose of this service is to improve mastery skills and skills in fast typing for students of SMKN 5 Bandar Lampung. For the problems faced by students, namely how to apply fast typing using the drill method in order to complete work related to typing, which can be completed quickly, correctly and on time. The long-term target to be achieved in this activity is closely related to the problem of using the drill method using the typing test application which covers a very wide range for students, teachers and secretaries which leads to improving their performance. The steps taken to master fast typing are through coaching and improving fast typing exercises by using several typing test applications using the drill method. The output of this activity is the scientific article Shinta 4 Lancang Kuning University, activity videos, and service profiles published at the University of Lampung dedication seminar. The methods used are interesting discussions, lectures and practicals, about the drill method in the typing test. By holding fast typing training with the Drill method, it is intended for students of SMKN 5 Bandar Lampung, to be able to further improve their mastery and skills in fast typing.
Analisis dan Perancangan Sistem Informasi Pengelolaan Data Aktivitas Mahasiswa Berbasis Website (Studi Kasus: STMIK Primakara)

STMIK Primakara still has problems in managing student activity data because the active system is considered not running optimally. The purpose of this research is to produce an accurate and structured activity data management. The method used in this research is the prototype method and for data collection by conducting observations and field analysis and interviews. The results of this study are students are able to input the activities that have been followed independently. The student department and the operator in charge only validate the data that has been inputted by the student. This study uses the SDLC (System Development Life Cycle) prototype model. To design the system design using the VueJs framework with the primevue component library version 3.0.0 with the sigma-vue template. With this system design, it is hoped that it will make it easier for the development department to design the system so that it can be implemented immediately to students. Keywords— System Design, Data Management, VueJs, Prototype Model, Student Activity
PROFESSIONAL SUBJECTIVITY AS A FACTOR IN THE FORMATION OF MOTIVATION FOR PROFESSIONAL ACTIVITY IN FUTURE PRIMARY SCHOOL TEACHERS

The article provides a theoretical analysis of the scientific achievements of Ukrainian and foreign scientists on the essence of professional subjectivity and its role in the formation of motivation for professional activity in future primary school teachers. The purpose of the study is to reveal the essence of professional subjectivity as a factor in the formation of motivation for professional activity in future primary school teachers. The characteristics of the influence of professional subjectivity on motivation for professional activity are highlighted. The methodological basis of the study is a subjective approach to the formation of motivation for professional activity in future primary school teachers as subjects of cognitive and educational-professional activities in higher education institutions.The meaning of the concepts “subjectivity”, “professional subjectivity”, “professional subjectivity of an elementary school teacher”, “motivation for professional activity” are revealed. The professional subjectivity of a primary school teacher is interpreted as an integrative quality of personality, that is manifested in a conscious and active attitude to oneself, junior schoolchildren and professional activity. It allows teachers to transform one’s abilities into professionally meaningful personal qualities and carry out successful self-realization and self-fulfillment in various spheres of professional activity. The psychological and pedagogical principles of the formation of professional subjectivity of future primary school teachers are analyzed. The relationship between the motivation for professional activity of students and the level of their professional subjectivity is revealed. It was found that the level of development of professional subjectivity depends on the formation of motivation for professional activity, the success of mastering the profession of a primary school teacher and the productivity of the pedagogical activity.&#x0D; Keywords: subject; subjectivity; professional subjectivity; professional subjectivity of the primary school teacher; motivation; motivation for professional activity; professional activity; professional training.
Detection of Blocking Artifacts in JPEG Compressed Images at Low Bit Rate for IoT Applications

In the era of multimedia applications and the Internet of things, large bandwidth (a limited resource) is required for exchange of data to control various devices over the Internet and hence data compression is highly desirable. During compression, various artifacts may occur. This chapter focuses on an efficient technique of artifact detection. Blocking artifacts are predominantly visible during the process of block discrete cosine trans-form–based compression and this is the main cause of image degradation. A method to detect these unwanted effects without the removal of intuitive features of an image has been presented in this chapter. In the proposed work, a modified model based on the assumption of the large variation of pixel values of adjacent pixels across the block boundary in comparison to pixels away from the boundary is designed. The experimental results show 174that the proposed method outperforms while detecting blocking artifacts as compared to other postprocessing methods.
Using Transfer Learning to Automatically Mark L2 Writing Texts

The use of transfer learning in Natural Language Processing (NLP) has grown over the last few years.Large, pre-trained neural networks based on the Transformer architecture are one example of this, achieving state-of-theart performance on several commonly used performance benchmarks, often when finetuned on a downstream task.Another form of transfer learning, Multitask Learning, has also been shown to improve performance in Natural Language Processing tasks and increase model robustness.This paper outlines preliminary findings of investigations into the impact of using pretrained language models alongside multitask fine-tuning to create an automated marking system of second language learners' written English.Using multiple transformer models and multiple datasets, this study compares different combinations of models and tasks and evaluates their impact on the performance of an automated marking system.
Is Insisting on Specific Performance under Smart Contracts Desirable? Inflexibilities of Smart Contracts and Potential Solutions

Smart contracts, as written by computer code, would secure the performance of the contract. It is believed that this feature of smart contracts is marketed as the solution to traditional contracts, which can be easily breached. The potential benefits of automated performance, such as certainty, would bring benefits to all parties. However, this idea of automated performance would not be desirable all the time. Not allowing for a breach by insisting on the specific performance required by a smart contract would be considered practically and economically inefficient, and which might deter their widespread use. As an illustration of this inflexibility, “efficient breach theory” will be used to prove that insisting on the specific performance of the obligation secured by a smart contract would not be desirable for the contractual parties. After showing this inflexibility, a feasible solution for this concern will be presented within the design of contracts. Before discussing this issue, in the second section, the definition of smart contracts and, and its potential benefits, will be explained. In the third section, as the main issue, how automated performance can cause inflexibilities, the difficulty of predicting future events, and the impossibility of a breach will be analysed. After detecting these problems, whether the design of a smart contract can help to alleviate these inflexibilities will be discussed.
Multimodal Simultaneous Machine Translation

Simultaneous machine translation (SiMT) aims to translate a continuous input text stream into another language with the lowest latency and highest quality possible. Therefore, translation has to start with an incomplete source text, which is read progressively, creating the need for anticipation. In this talk I will present work where we seek to understand whether the addition of visual information can compensate for the missing source context. We analyse the impact of different multimodal approaches and visual features on state-of-the-art SiMT frameworks, including fixed and dynamic policy approaches using reinforcement learning. Our results show that visual context is helpful and that visually-grounded models based on explicit object region information perform the best. Our qualitative analysis illustrates cases where only the multimodal systems are able to translate correctly from English into gender-marked languages, as well as deal with differences in word order, such as adjective-noun placement between English and French.
RESEARCH OF COMMUNICATION TOOLS USED BY SECURITY MANAGERS DURING A PANDEMIC

The COVID - 19 pandemic is a global health threat to almost all sectors of the economy. Viruses know no borders, so the governments of all the countries affected had to take measures to stop the threat or slow it down. Organizations also had to ensure business continuity so that they suffered the lowest possible losses.The article focuses on the research of possibilities and experiences with communication of security managers during the COVID - 19 pandemic. It includes an examination of the user friendliness of individual communication platforms used during the COVID - 19 pandemic for the management, communication and training of security managers. The research was carried out by controlled interviews with security managers on an available sample of randomly selected (addressed) respondents - security managers. Based on the results, the advantages and disadvantages of individual communication platforms were described. At the same time, recommendations were made for future pandemic periods.
Histogram Security Test Analysis for BER and SNR in a Crypto OFDM System

The topic of channel estimation in OFDM systems is addressed in part of this research study. Given to its dynamic character, the proposed framework provides quick resolution and hence lowers the complexity of channel estimates with reduced BER when compared to standard techniques. The outcomes show that when comparing to the usual encryption algorithm, the suggested techniquebased channel prediction technique with (Tx-Rx= 2x2) achieves a lower BER. As a result, this method is effective in lowering the signal error rate. Similarly, the proposed method's efficiency was found to be significant for other performance measures such as SER and throughput. This study is built on a method that uses the crossover and mutation operators to identify images with fewer interference and noise. In less rounds, the suggested method achieves a global optimum result. The findings obtained for the proposed technique with (Tx-Rx= 2x2) are noteworthy in terms of propagation delay. Although a lot of users are available, the proposed allocation of resources methodologies lower overall transmit power and assign the optimal bit, power, and subcarriers more quickly than earlier algorithms. With substantial throughput, BER and SNR, the proposed technique offers the best option for bit and power allocation of resources
Analysis of Student Self-Regulation in Learning English Speaking Skill

In everyday life humans are not free from conversations with others, this has been done continuously and without stopping, this is a habit that forms patterns. This study aims to see how important self regulation is in their daily lives, basically self-regulation is a human habit and their learning pattern, each participant is given several questions regarding motivation. and also their self-regulation in arguing and also in their daily lives, which is owned by each individual, especially in speaking. The study was conducted by taking samples from the debate organization at University of Widiya Gama Mahakam Samarinda. It is found that internal and external factors appear in self-regulated learning of students who join Widya Gama Debate League. At the end, the results show that self-regulation is very important in shaping themselves so that they can form a valid learning pattern.
The Effect of Management Support on the Quality of Accounting Information Systems and Its Impact on the Quality of Accounting Information (In Private Higher Education in Bandung City)

This article aims to determine management support, the quality of accounting information systems and the quality of accounting information. The method used in this research is descriptive and verification method (verificative research). Based on the results of testing the hypothesis by using Structural Equation Modeling (SEM) with the Partial Least Square - Path Modeling approach with the help of XL-STAT software, there is a relationship between top management support variables and the quality of accounting information systems reflected in the value of 1.0247. Furthermore, the quality of accounting information systems has an impact on the quality of accounting information reflected in the value of 0.8104. The results of this test prove that top management support influences the quality of accounting information systems and has an impact on the quality of accounting information.
PENGENALAN PENGGUNAAN SIMULASI PENGECORAN BAGI USAHA COR LOGAM DI PALEMBANG

Problems in metal casting include, among others, air cavity defects caused by use of pour plate and descending channel models which are directly used in sand molds; air or gas from sand mold or aluminum scrap liquid metal cannot escape through cavity between the sand grains during  pouring process; river sand is in the form of crystalline sand grains which can affect fire resistance and low permeability in sand molds, consequently requiring large amounts of binder; and water content in river sand for making sand molds is less than 1.5% - 8% as a result, clay will experience a lack of binding power in the sand. Departing from the above problems, it is necessary to pay attention to design stages, especially in e field of casting product design, which currently uses a lot of software that can support businesses, such as Solidworks Computer Aided Design - Computer Aided Manufacturing software and casting simulation software such as Altair Inspire cast. Design of cast objects and simulation in preparation for making molds and core castings using Solidworks and Altair Inspire Cast software aims to obtain accuracy of the cast objects so that they do not require much finishing work and the simulation of casting process is expected to reduce casting failures as described. Essence of implementation of community service programs through (additional) assignment schemes for small industries Mandiri of metal cast in Palembang is how to provide theoretical knowledge of designing cast objects using CAD software and simulate the casting process which is usually used for students of study program D-IV in Mechanical Engineering of Production and Maintenance (TMPP) - State Polytechnic of Sriwijaya. to find out the best design model and casting process so as to minimize casting defects.
SELNN: Effective Crossover Features by Attention Mechanism and Logarithmic Conversion for CTR

Abstract With the continuous increase of web resources, information overload is becoming more and more serious. Getting the information that meets the needs of a large amount of data has become an urgent problem. One of the popular studies in click-through rate prediction is to construct feature interactions to improve prediction accuracy. Traditional models with low-order interactions cannot adequately represent the intersection information, and deep models with undifferentiated feature intersections lack relevance. In this paper, we propose a model called SELNN, which improves the accuracy of click-through rate prediction through attention mechanism and logarithmic conversion. On the one hand, improving attention mechanisms learns the importance of each feature itself. On the other hand, combining logarithmic conversion structure with feedforward neural networks to learn different orders of feature interactions. The experimental results indicated that the AUC values of SELNN on the Criteo and Movielens-1M datasets were 81.46% and 87.36%, respectively. SELNN effectively improves the prediction accuracy and reduces the number of parameters and computational effort.
CONSTRUCTION OF THE TEACHING SYSTEM OF “CLASS, CERTIFICATE, POST AND ABILITY INTEGRATION”—TAKE SOFTWARE APPLICATION COURSES AS AN EXAMPLE

Abstract. In the process of vocational education improvement, “the integration of class, certificate, post and ability” teaching system reform and practice have been discussed, for the three software application courses of computer-aided design (CAD), building information modeling (BIM) and Glodon engineering quantity software (GQI). The analysis and positioning of “classes, certificates, posts, skills”, “classes and posts docking” to formulate teaching plans, “course certificate integration” setting teaching content, curriculum teaching method design, assessment and evaluation, the above five aspects were analyzed for the corresponding curriculum teaching reform and the study. Practice has proved that the effect has been good: the numbers of students applying for the vocational skill level certificate and the application rate both have increased, and the passing rate has grown up significantly, which has risen from 78% to 98%.
The Effect of Banking Sector Efficiency on the Economic Development in West Africa

West African countries' financial systems are weak and underdeveloped. The financial markets in most countries are controlled by banks. The banking sector accounts for more than 100 banks that hold approximately 90% of the financial system’s total assets according to the International Monetary Fund (2016). The banking sector in the young continent is relatively weak and very concentrated compared to other emerging economies because five major banks detain 50% of bank assets. In addition, many companies from different sectors find access to financing very difficult in the region. Indeed, this phenomenon slows economic activities, impacting the growth adversely. Unlike most developed economies, the financial system in most African countries is based on a banking system. Therefore, any systematic risk of failures will damage the entire financial system. Banking institutions in West Africa are very liquid and well-capitalized. However, the rate of credit to private sectors is far below the global average. Businesses and enterprises have financing barriers compared to their peers in other emerging countries in Asia.The role of banks in the economy is primordial in any country of the world, specifically in West Africa where the entire financial system is controlled by them. Therefore, some researches have been conducted about the impact of the banking sector on a country’s development. This study will consist of analyzing the banking sector in West Africa, the effect of regulation, the challenges facing banks, and opportunities to develop an effective financial market in this region of the world. The primary goal of this research is to analyze whether the financial efficiency of the banking sector in the Economic Community of West African States region estimated by some financial indicators as Return on Asset (ROA), Return on Equity (ROE) and Net Interest Income (NIM) affects the economic development represented by the Gross Domestic Product (GDP) growth rate.