Reviewerly/exHarmony huggingface dataset:
ANALISIS PEMEROLEHAN BAHASA (LANGUAGE ACQUISITION) PADA ANAK USIA DINI RENTANG USIA 4-5 TAHUN DI PAUD INSANI KOTA MEDAN

Abstract The purpose of this study was to determine how language acquisition in early childhood aged 4-5 years in PAUD INSANI Medan City. Due to the Covid-19 pandemic and large-scale social restrictions, early childhood did not socialize with friends at school so that the vocabulary acquired by children was not as large as usual due to minimal interaction. This research is a qualitative descriptive research where the sample is preschool students. Data collection techniques were carried out by observation and interviews. From this research, it was found that early childhood can say the name according to the picture given, but their knowledge of English is still very minimal. In this study, the author tried to give a picture card of animals and fruits in two languages, when the sample was mentioned, the sample could mention it but the letter [r] could not say it perfectly. The remaining 80% of respondents can acquire the spoken languageKeywords: Early Childhood, Language Acquisition, Covid-19 Pandemic
Use of Quantum Cryptography Environment For Authentication In Online Banking Transactions Security

With online transactions and processing, a large amount of data is generated in today’s internet world, and securing this information is a challenge. It considers security and privacy as the degree of resistance to information and different transaction details from threats and vulnerabilities. The primary concern in online banking is user authentication, information confidentiality, and the channel/media through which the information is shared. Towards this purpose, the paper majorly focuses on the security techniques under classical and quantum cryptography used in online banking to address the issues and different attacks during service utilization. Paper presents a model used to authenticate a client through quantum-safe channel technique in conjunction with one-time pad (OTP) concept to increase security and avoid reply attacks. The idea of introducing quantum cryptography aims to analyze the performance for the operational feasibility of the proposed solution. Combining quantum computing and classical algorithms can boost fraud detection performance and processing speed in financial transactions. Hence, the proposed scheme considers implementing a hybrid technique and QKD for secure online banking in a quantum cryptography environment.
A load balancing scheme based on deep learning in blockchain network

The blockchain technologies taking advantage of decentralization, anonymity, and trust have begun to exert a significant influence on variety applications. A large number of event data will be generated over a period of time in the blockchain networks. There are many different implementations of load balancing with different approaches and purposes in blockchain network. They will generate a large amount of data and resolutions, providing humans with information and the control of events and objects, even in remote physical environments. However, the demands of the interactions in blockchain networks cause heavy traffic or bottlenecks on particular nodes nevertheless decentralized. Therefore, we proposed an agent that applies a deep reinforced learning method to distribute loads in blockchain network. Also, we show the scalability and reliability of the proposed scheme through mathematical modeling.
PENGGUNAAN KARTU BERGAMBAR DALAM MENINGKATKAN KEMAMPUAN MEMBACA PERMULAAN SISWA KELAS 1 SEKOLAH DASAR

The research is based on the poor reading ability of Indonesian students. To improve reading skills, it must be developed from elementary school as the foundation for the next level of education. In this regard, the researcher collaborated with colleagues to research early reading ability for the first grade of students at Ciwaruga 1 Elementary School, West Bandung Regency. Research subjects numbered 22 pupils. The method used is descriptive analysis with one shot case study technique. The researchers used several instruments to collect the data of student abilities as well as to examine word and picture cards effectiveness in the learning process of early reading. Based on data, there are several findings that the ability of early reading so far has only reached 45%. In addition, the effectiveness of using illustrated word and picture cards in early reading is 0.349, which exceeds the level of 0.05. Therefore, it can be interpreted that using illustrated cards has a very significant impact for improving early reading ability of students at the first grade.
Designing and Implementing a Novel Solar Panel Tracker Leveraging Reinforcement Learning Technique

As of today, the average efficiency of household solar panels is less than 20 percent, so less than 20 percent of solar energy is converted into household electricity. Our goal is to explore various techniques that not only enhance this efficiency but also are scalable to households. We plan to use reinforcement learning technique that provides the centralized intelligence for controlling a large set of trackers for household solar panels. Reinforcement learning is a proven machine learning technique to explore unknown environments while maximizing a reward. This is desirable because each household's environment is different. Furthermore, the tracker is purely software-driven with no dependency on specialized hardware. This makes it simple, easy to deploy, and suitable for large-scale application. In this project, we designed and implemented a reinforcement learning technique for a solar panel tracker that adjusts the solar panel’s orientations to maximize the sun ray receptance. The tracker explores an optimal orientation, taking into account of the environmental variations such as the sun’s location and shade caused by surrounding obstacles. To demonstrate the effectiveness of our solution, we placed two identical solar panels side-by-side. One is mounted on our solar panel tracker; the other is stationary. We then collected voltage measurements from both solar panels at identical time intervals between 8 AM to 5 PM each day. We repeated the same benchmark testing for several days. Our results have shown that the solar panel on our smart tracker consistently offers higher electricity voltage output than the one without.
A Coverless Text Steganography by Encoding the Chinese Characters' Component Structures

The current coverless text steganography methods have a low steganographic capacity, and yet some of them cannot assure a message can be concealed. How to achieve a high steganographic capacity has become the research hotspot in text steganography. This paper proposes a text coverless steganography method by encoding the Chinese characters’ component structures. Its main idea is that a binary bit string can be conveyed by the Chinese characters’ component structures. The positions of Chinese characters that carry a secret message will be expressed in two systems of the linear remainder equations, whose solutions will be secretly sent to the receiver to extract the secret message. In the method, a single Chinese character can express p bits. The analyses and statistics show that its capacity will be much higher when the same Chinese character is used more than once than existing methods, and it can conceal any message successfully. In addition, this method can also be employed in other languages.
Pengembangan Teknologi E-Commerce dengan Menerapkan Metode CRM dan Forecasting

The development of e-commerce technology is a sales process that is carried out online which can make it easier to sell without having to come to the store directly. Dalwa Zain Collection store which is a clothing store that sells Muslim and Muslim clothing for men and women. This e-commerce sales system will be applied to the Dalwa Zain Collection store to make it easier for shop owners to make transactions and also make it easier for consumers at the purchase stage without having to go to the shop. In this e-commerce system, there are two methods, namely to apply the forecasting method to carry out the annual forecasting stage at the Dalwa Zain Collection store and to apply the CRM (Customer Relationship Management) method as the application of discounts on clothing in the Dalwa Zain Collection store. This is the stage of the process that will be carried out so that the Dalwa Zain Collection store can see its sales from year to year and also make the discount that will be set can be helped to overcome quickly.
Applications of FFT for timbral characterization in woodwind instruments

The conceptualization of the musical timbre, which allows its quantitative evaluation in an audio record, is still an open-ended issue. This paper presents a set of dimensionless descriptors to assess the musical timbre of woodwind instruments in recordings of the fourth octave of the tempered musical scale. These descriptors are calculated from the Fast Fourier Transform (FFT) spectra using the Python Programming Language, specifically the SciPy library. The characteristic spectral signature of the clarinet, bassoon, transverse flute, and oboe are obtained in the fourth musical octave, observing the presence of degeneration for some musical sounds, that is, two given different aerophones may present the same harmonics. It is concluded that the proposed descriptors are sufficient to differentiate the aerophones studied, allowing their recognition, even in the case that there present the same set of harmonic frequencies.
Analysis of Performance in Docker Net deployed in AWS cloud

The virtualization based on containers is a technological approach in building nowadays information systems. This approach provides a platform for various operating system services not only in the cloud but also in the local enterprise environment. This facilitates the creation of multiple containers on a single physical machine in the form of hypervisors. To accommodate many microservices, the technology is a model that consists of various operations performed by deployed services. Thus, the demand for low-overhead virtualization technology is growing rapidly. There are many easy virtualization technologies; Docker is one of them, which is an open source platform. This technology allows developers and system administrators to create, build, and run programs with minimal resources involved. This approach has become an integral part of the new development culture (DevOps).
A Survey on Smart Home Privacy Data Protection Technology

With the advent of the Internet of Everything era, smart home devices and applications have become more widespread, and the privacy issues of smart homes have gradually become more and more important. This article introduces the problems and challenges faced by smart home privacy data protection. In response to these challenges, we summarize and analyze the current research progress of smart home privacy data protection technology, to which the technical solutions can be divided into four types: reducing the outflow of source data, privacy policy control, traffic obfuscation, and quarantine area processing technology. In addition, this article pointed out that the smart home privacy data protection technology based on federated learning is a promising development direction in the future.
Good practices of basic education teachers during the COVID-19 pandemic

The objective of this article was to analyze the actions that teachers from different states of the Mexican Republic implemented to give continuity to the learning activities of students during the health contingency. Grounded Theory was used as an analysis tool and interviews were conducted through video calls with an intentional sample of twenty teachers. The main findings indicate that: teachers reconceptualized their practice in a short time, adapting it to the context to face the crisis, used technological means to transmit topics and content, looked for alternatives to communicate with the students, generated didactic resources with instructional design, recorded videos and carried out activities to support the families socially emotionally, showed empathy and solidarity actions with the households. As a result of their professional experience, and knowledge, they managed to innovate in their discipline and respond to the demands of the environment, in contrast, the government strategy showed limitations.
INTEGRATING PROJECT-BASED LEARNING INTO ENGLISH FOR SPECIFIC PURPOSES CLASSES AT TERTIARY LEVEL: PERCEIVED CHALLENGES AND BENEFITS

In the last decade, EFL educators have attempted to experiment with various teaching methods to discover more effective ways of teaching and learning English, including English for Specific Purposes (ESP). Such methods as outcome-based learning (OBL), project-based learning (PBL), or cooperative learning (CBL) have received a lot of attention. Investigating the benefits and challenges of these methods in different contexts is really necessary. The current exploratory study, therefore, aimed to explore students’ perceived challenges and benefits of integrating PBL into ESP classes with the ‘English for marketing’ course designed for students majoring in Business English at Ho Chi Minh City University of Technology (HUTECH). With the participation of 64 fourth-year students and the employment of three main data collection instruments including the questionnaire, student interviews and journals, the findings of the study reveal that the integration of PBL into ESP classes has brought more benefits to the students than challenges. Specifically, they could enhance their language and content knowledge, workplace-related skills, self-responsibility and motivation. Meanwhile, they mainly encountered challenges related to classmates such as lack of skills, English proficiency, and negative attitudes. It is expected that the findings of the study would partly contribute to the existing knowledge of the study field and shed light on the role of PBL in ESP education at HUTECH in particular and at the Vietnamese tertiary level in general.
An Ensemble Approach for Detecting Phishing Attacks

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
Dynamic Context Driven Re-configurable Business Process

The building of a re-configurable business process (BP) has gained importance in business organizations. It helps the organization to adapt to the agility in business goals. A proper context-driven re-configurable BP should be capable of integrating dynamic context information. However, this is absent in the existing studies. As a result, providing a suitable, expressive and re-configurable BP to the business organization stakeholders has become a challenging issue. The prevailing research works lack the proper consideration and suitable incorporation of the context-driven services to make a BP re-configurable. And then it can quickly respond and change its behavior to adapt to the rapid and unpredictable changing business environment. In addition, those methods hardly come up with any appropriate technique to use the set of specified goals to extract context-driven services. Those business goals are determined by the group of stakeholders of a business organization. This paper proposes a new method of re-configuring context-driven from a defined goal to sort out these vital challenges. Present context data is included in an existing BP to achieve a modified goal which immensely benefits the end-users. Thus, this approach is intrinsically highly user-centric, reusable, fast and inexpensive. To achieve this, an algorithm called Context-driven Re-configurable Business Process Achievement Algorithm (CDRBPA) is introduced and implemented. Based on Primary Context (PC), three software metrics, namely, Degree of re-usability (DRUPC), Degree of re-appropriation (DRAPC) and Degree of re-configurability (DRPC) have been proposed to measure the modifications done to the existing BP. In conclusion, various case studies with different complexities have been performed to show the strength of the proposed algorithm.
Application for Individualized Learning Using Artificial Intelligence

This pandemic has forced us to abandon the normality of our lives. My mother is continuously buying stuff from Amazon.com and my father is always checking his stock portfolio while I have got stuck in tiring zoom sessions. With this remote methodology, learning has lost its luster. The person-to-person relationship with teachers is not the same, and what is left is a shell of what I was used to. Other sources including Brilliant, CK-12, and Khan Academy also lack individualized learning like the one I found in a brick-and-mortar school. So I thought about building a tool to impart knowledge based on the skill level of each student. I want to make an application (app) powered by artificial intelligence (AI) that will closely monitor the student’s past performance and response time and will provide him/her with personalized content. I learn best in a question and answer (Q&A) format, so I plan to create an app to deliver rich scientific content to students in a Q&A format. It will also have an administrative interface where teachers worldwide can add questions and videos explaining the answers. I envision it to be a great teaching tool for the less advanced countries and students with limited resources, who cannot afford private tutors. As Google’s CEO Sundar Pichai says, “AI is one of the most important things humanity is working on. The newborn will have to learn continuously over their lives. So, we have to transform how we do education.”
An Analysis of Writing Strategies Used by Students of English Language Department

The trend towards more process-oriented academic writing instructions require students to pay more attention to and develop their use of writing strategies to ensure learning success. Accordingly, the current study investigates the use of writing strategies performed by freshmen of the English language department in an Indonesian teaching university. The study is an initial effort to provide a theoretical basis for the development of more student-centered and process-oriented writing instructions for the university’s academic writing courses. To attain its purpose, the study focuses its investigation into the stage where writing strategies are most likely to be used and the types of writing strategies being employed by students. Questionnaires modified from Petrić &amp; Czárl (2003) were distributed to 125 freshmen to obtain the data which constitute the types of writing strategies being used, their frequency of use, and the stages of writing within which they were used. Descriptive quantitative analysis was performed afterwards to the collected data. Results show that most freshman are medium users of the strategies, with While Writing as the stage within which students tend to use writing strategies, followed by Pre-writing and Revising Writing. This result implies that the development of learning instruction for academic writing needs to accommodate the development of writing strategies used in three stages of writing, particularly during the Pre-writing and Revising Writing. Further research is also required with different data collection method and instruments to allow for generalization to wider audience which is not possible with the current research, given its limited use of instrument and participants involved.
Nucleus Detection in Cervical Samples Stained With AgNOR

ABSTRACTCervical cancer is a public health problem, where the treatment hasa better chance of success if detected early. This paper explores oneway of to analyze argyrophilic nucleolus organizer regions (AgNOR)stained slide using deep learning approaches of object detection fordetecting the different categories of nucleus. Our results show thata balanced dataset between the explored categories was essential,also that a ResNet-50 as backbone of Fast RCNN shows an AP of61.8% and 42.5% to detect nucleus and out of focus nucleus.
Support of Open Science in Technische Informationsbibliothek — TIB

The relevance. Libraries in Europe are implementing services to support the information needs of researchers in the direction of the Open Science movement. Further integration of Ukrainian science into the European Research Area requires Ukrainian libraries to actively adopt the experience of colleagues.&#x0D; The purpose of the paper is to investigate and summarize the experience of the Leibniz Information Centre for Science and Technology and University Library (Technische Informationsbibliothek — TIB) in support of Open Science.&#x0D; The methodology. Methods of analytics, differentiation, and generalization in the process of processing information from official sources, research publications, and personal communication with employees of the institution were used.&#x0D; Conclusions. It was found that the ideas of Open Science are leading in the implementation of the tasks of the library, and the approach to their implementation is comprehensive: digitization of information; emphasis on digital technology; maximum access to scientific information; use of semantic search technologies; implementation of Open access publishing; conducting researches, introduction of new and improvement of common tools for the organization of library services in support of Open Science; communication and cooperation at national and international levels to share experiences and find optimal developments on the path to openness.
Image Forgery Detection Using CNN

In today’s world, digital images are widely used in various domains such as; newspapers, scientific journals, magazines, and many other fields. Unfortunately, today’s digital technology made it easy for digital images to be forged due to the availability of the low cost photo editing software like Adobe Photoshop. Thus, in order to recover people’s trust towards digital images, it is important to develop new trustworthy techniques for digital images forgery detection. In this paper we present a novel fake image detection model where the acquisition method is based on an in-depth, process-based, convolutional neural network (CNN) for automatic learning and identifying independent presentations from color RGB input images. CNN is being used because of the advantages it provides as it performs feature engineering, i.e. feature extraction and feature selection, which was earlier performed using different statistical observations and methods. The research paper discusses transfer learning approach which has its own advantages, as it's a different approach from the custom CNN which was being used in earlier approaches.
Exploratory Data Analysis

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