Reviewerly/exHarmony huggingface dataset:
Development of Macromedia Flash 8-Based Learning Media in Simulation and Digital Communication Subjects in Vocational High School

Vocational education has a real goal, which is to prepare students to enter the world of work. The aims of this study were (1) to find out the planning stages of Macromedia flash-based learning media, and (2) to find out the feasibility of Macromedia flash-based learning media in simulation and digital communication subjects in vocational schools. This type of research is developed with the model used the V model or commonly called the verification and validation model. The system development process includes requirements analysis, requirements standards, design specifications, and program specifications. Based on the test results, it is known that the learning media based on Macromedia flash on simulation and digital communication subjects in SMKs that have been developed are suitable for use as learning media in SMKs. The average score obtained as a whole aspect of media experts was 3.58 in the very good category, material experts with a score of 3.62 in the very good category, and the student response score to Macromedia flash-based learning media was 3.89 very well. good category. good. So learning media based on Macromedia Flash 8 shows very feasible to be used as a learning medium in simulation and digital communication subjects in Vocational High Schools. Keywords: Macromedia Flash, Vocational Learning, Simulation, Digital Communication
Task-based english teaching method

Task-based teaching aims at avoiding the teaching method of simply imparting linguistic knowledge in the process of teaching. As far as possible, students can learn and use English through thinking, research, discussion, communication and cooperation, so as to complete their learning tasks. This paper discusses the application of task-based teaching in english teaching. It can provide theoretical and practical inspiration for English teaching, help students master effective english learning methods and improve their language use ability.
Pecha KuchaA qualitative exploration of depressed men’s help-seeking in online interactions’Beyond the script: Including Ken Loach’s I, Daniel Blake within a discourse analysisSocial appropriateness of food type and mealtime influences the relationship between expected satiety and ideal portion sizeAdolescents’ eating motivations and behavior: A path model

In order of first author surname
Game Edukasi Metamorfosis Hewan Dengan Augmented Reality Berbasis Android

There are several problems found in elementary school learning. One of them is learning media. Currently, there are many types of learning media, some are digital-based such as learning media using audio media, multimedia computers, and there are also conventional learning that still uses books, pictures in the teaching and learning process such as metamorphosis learning which still uses books in the teaching process. To improve the learning process at SD No. 3 Ungasan in grades 3,4, and 5 in the field of natural science, an educational game of animal metamorphosis was made with android-based augmented reality as a learning medium. The purpose of this research is to build an Android-based augmented reality animal metamorphosis educational game to help elementary school students and teachers. This educational game is built in the C# programming language using the Unity Engine. The method used in making this game is Multimedia Development Life Cycle (MDLC). The test system used is blackbox testing, where the results of system testing conclude that the system is in line with expectations. Based on the results of user testing, this educational game got a 100% increase in satisfaction from 17 responses consisting of 2 teachers and 15 students.
Cloud-based control systems: a systematic literature review

Control systems and computer science are two distinct and important fields of engineering. The development of cloud computing in computer science has become an enabler for the widely used controller in control systems to migrate to the cloud and has created a new field of research in cloud-based control systems (CCS). The paper used the systematic literature review approach to obtain insight into current CCS research. The objectives include a review in areas such as the demographics, topics of the research, evaluation method, and application domain. To that end, systematic literature review (SLR) has been conducted. The study obtained 64 primary studies from 581 articles. The CCS has a distinct characteristic; despite the fact that the cloud and network dynamics system, when coupled with the controlled plant, is inherently nonlinear, research efforts have used linear models with optimal control to approach it successfully in a limited case of control objectives. Furthermore, cloud-centric and cloud-fog network architecture approaches are considered in the studies—whereas, the quantitative method mainly uses simulation and discussion. Finally, the SLR summarizes open challenges for CCS in the future.
Cost-effective anonymous data sharing with forward security using improved authentication

Cloud computing gives customers instant access to a network of remote servers, networks, and data centres. Cloud computing makes data analysis helpful to society and individuals. Sharing data with many people causes efficiency, integrity, and privacy issues. Ring signatures may enable secure and anonymous data transfer. It anonymizes data verification for cloud-based analytics. Identity-based (ID) ring signatures are becoming popular alternatives to public key infrastructure (PKI)-based public-key encryption. PKI bottlenecks are certificate verification time and cost. ID-based ring signatures speed up certificate verification. We observed that encrypting ID-based ring signatures with a variation of SHA-384 and adding forward security considerably improves their security. Padding divides the input text into 512-byte blocks and adds the length as a 48-bit value to the hash in newer SHA versions. Signatures made before a user's secret key was compromised are legitimate. If a user's secret key is compromised, it's impossible to compel all data owners to re-verify their data, hence a large-scale data sharing system must contain this feature. We implement, secure, and prove our method's use. SHA-384 is safer for cloud-based anonymous data sharing.
Virtual machine tree task scheduling for load balancing in cloud computing

The increasing number of publications towards cloud computing proves that much research and development has been done, especially for task scheduling. Organizations are eager to get more customized technology to run the most smoothly in the provision of visual cloud services for fruity users. As the circumstances of Covid indicate to technology that everyone should run digitally, the workload on machines increased. For workload solutions, organizations are trying to balance the situation with the successful operation of cloud services to use appropriate services/resources. Nevertheless, the issues are still to be resolved by researchers, so we respect all my friends who are putting a lot of effort into developing new techniques. A proposed paper is showing a new collation with the load balancing factor by implementing quality of service (QoS) and virtual machine tree (VMT). A CloudSim toolkit will then be used to compare them. A tree structure graph is included in the VMT algorithm to schedule tasks with the appropriate distribution on each machine. The QoS algorithm performs the task of scheduling based on the service required by the user with the best quality and satisfies the user.
Computational Quantification of Oral Fluency in English

The research paper aims to propose a base for the measurement of oral fluency through computational analysis in English Language. The analysis of speech sounds could be dissimilated into multiple variables to convert the speech sounds into decimals. The proposed idea could provide the future researchers and scholars a way to analyse and evaluate Oral Fluency through multiple variables such as words per minute, pauses, fillers, reputations and syllables per minute and segments. The tool could give feedback on specific areas of speech sounds, therefore supporting the researchers with a detailed output. The goal of the proposal is to provide a valid and reliable tool for the measurement of fluency.
ERROR ANALYSIS IN TRANSLATING INDEFINITE ARTICLE ON MODIFIED AND NON-MODIFIED NOUN

Indefinite article in the surface may seem unimportant but it has uniqueness. Indefinite article “a” or “an” in a noun phrase can differentiate the number of noun without using plural mark. Besides, it cannot be used with certain nouns. Regarding this rule, it should be easy because there is a clear border. However, students of this research still could not acknowledge the rule of use of indefinite article. In another word, the goal of this research is to reveal the translation of indefinite article followed by noun or noun phrase and the classification of errors they make. The respondents are the fifth semester students of English Education Department in IAIN Bone. The sample of this research is 20 students from English education department who have been taught the material of article as registered in 2019/2020 academic year. The sentences translated by respondents are retrieved from book A Practical English Grammar (Thomson Martinet, 1986) and from website https://www.vedantu.com/english/omission-of-article. Sentences are shared through Whatsapp text as well as the answers from the students. The data are analyzed by using descriptive qualitative method. The result of this research is that students still make error in translating the noun phrase in which they are still not able to differentiate the translation of noun or noun phrase with article or they should omit it.
THE IMPLEMENTATION OF TEXT-BASED TASK IN LANGUAGE LEARNING IN IMPROVING THE STUDENTS’ WRITING SKILL AND CREATIVITY

This research aimed to find out 1) whether or not the use of text-based tasks in language learning improved students’ writing skill and 2) whether or not the use of text-based task in writing increased students’ creativity in terms of fluency, flexibility, and originality. This research employed quasi-experimental design with two groups; control and experimental. It used pre-test and post-test as the instruments of the research for both tests: writing test and creativity test. In treatment, experimental group was taught by applying text-based task whereas control group was conventional method; three phases technique. The result of data analysis showed that the use of text-based task in language learning improved students’ writing skill. It can be seen from the mean score, standard deviation, and scoring classification of experimental group which are improved significantly and also from the component of writing where scores of content, organization, language use, and mechanics of students in experimental group are higher than control group. The t-test value of writing in posttest was 3.895 ≥ t-table 2.000; it means that the alternative hypothesis is accepted. Text-based task improved students’ writing. The result also showed that students’ ability to produce number of category of ideas (flexibility) and produce new idea (originality) as part of creativity improved significantly through text-based task whereas the number of ideas (fluency) did not show significant improvement.
Enhancing the spectrum of timed Dicke state via squeezing a cavity mode

Abstract In this work we present transmission spectra of a two atom timed Dicke state in an optical cavity which is subject to the parametric driving. In the proposed scheme, the parametric driving can squeeze the cavity mode and exponentially enhance the atom-cavity interaction. We show that the interaction between the timed Dicke state and squeezed cavity mode induces the quantum interference and normal mode splitting on the transmission spectra. In addition, we demonstrated that the spectra intensities are exponential quadratic enhanced under the parametric driving, which may provide a feasible scheme for sensitivity enhancement of the single photon measurement.
From Metastudies to Metaverse

The authors believe that the Metaverse is a paradigm shift infrastructure technology that may make 60% of universities irrelevant in the next 20 years if they don’t move away from the meta-studies model. Meta-studies refers to an archival, largely paper-based process of “teaching” what other people have written about, focused on the past, and supported by the “publish or perish” imperative. The Covid-19 pandemic has forced universities into adopting technologies that form a part of the Metaverse, but for the most part they have used these technologies to perpetuate the status quo. If universities cannot change their practices to become more agile, adopting design thinking, inquiring minds, and critical thinking not only for students but also for themselves as institutions, it will be commercial entities such as Meta and Microsoft who will decide what education will take place in the Metaverse, and students will go there whether universities are present or not. It is therefore important that universities change their own paradigms, and engage with this technology to discover how it can be used effectively in education, so as to foster principles and values for building knowledge and cementing ethical, sustainable practices.
Object-based Classification of Natural Scenes Using Machine Learning Methods

The replication of human intellectual processes by machines, particularly computer systems, is known as artificial intelligence (AI). AI is an intelligent tool that is utilized across sectors to improve decision making, increase productivity, and eliminate repetitive tasks. Machine learning (ML) is a key component of AI since it includes understanding and developing ways that can learn or improve performance on tasks. For the last decade, ML has been applied in computer vision (CV) applications. In computer vision, systems and computers extract meaningful data from digital videos, photos, and other visual sources and use that information to conduct actions or make suggestions. In this work, we have solved the image segmentation problem for the natural images to segment out water, land, and sky. Instead of applying image segmentation directly to the images, images are pre-processed, and statistical and textural features are then passed through a neural network for the pixel-wise semantic segmentation of the images. We chose the 5X5 window over the pixel-by-pixel technique since it requires less resources and time for training and testing.
Fletcher-reeves algorithm for predicting the quantity of production tomato plants in indonesia

The growth of Indonesia's tomato plants continues to increase, and this increase needs to be balanced, according to data from 2015 to 2020. Tomatoes should be used all the time, even in Indonesia. Tomatoes are not only edible but also good for your health and appearance. For the government and various conferences to include this as a point of view in dealing with this problem, it is important to look at the amount of tomato production in Indonesia. Data from the Central Statistics Agency was used to obtain statistics on tomato plant cultivation in Indonesia from 2015 to 2020. This data is solved using the Fletcher-Reeves algorithm using architectural models 2-10-1, 2-20-1, 2-30-1, and 2-35-1. Model 2-10-1 is the best architectural model to predict the amount of tomato production compared to other models, according to the training and testing results of the four models. Model 2-10-1 is used to measure the accuracy of the Fletcher-Reeves method, with MSE Training set at 0.00008463 and MSE Testing at 0.0006094.
On recovering block cipher secret keys in the cold boot attack setting

Abstract This paper presents a general strategy to recover a block cipher secret key in the cold boot attack setting. More precisely, we propose a key-recovery method that combines key enumeration algorithms and Grover’s quantum algorithm to recover a block cipher secret key after an attacker has procured a noisy version of it via a cold boot attack. We also show how to implement the quantum component of our algorithm for several block ciphers such as AES, PRESENT and GIFT, and LowMC. Additionally, since evaluating the third-round post-quantum candidates of the National Institute of Standards and Technology (NIST) post-quantum standardization process against different attack vectors is of great importance for their overall assessment, we show the feasibility of performing our hybrid attack on Picnic, a post-quantum signature algorithm being an alternate candidate in the NIST post-quantum standardization competition. According to our results, our method may recover the Picnic private key for all Picnic parameter sets, tolerating up to 40 % of noise for some of the parameter sets. Furthermore, we provide a detailed analysis of our method by giving the cost of its resources, its running time, and its success rate for various enumerations.
BOUNDS AND PROPERTIES OF LCD CODES OVER FIELDS

In 2020, Pang et al. defined binary $\text{LCD}\; [n,k]$ codes with biggest minimal distance, which meets the Griesmer bound [1]. We give a correction to and provide a different proof for [1, Theorem 4.2], provide a different proof for [1, Theorem 4.3], examine properties of LCD ternary codes, and extend some results found in [6] for any $q$ which is a power of an odd prime.
GPU Computing of GNSS Chipshape

By storing correlation results in individual bins according to fractional chip phase and transition state, the average shape of a satnav signal’s spreading code chip transient response can be estimated. Current methods for software-based processing of chip shape results are computationally inefficient and make processing time prohibitive. This paper presents a GPU based method of generating chip shape results that achieves real time performance. Several GPU based methods are compared in addition to a multi-threaded CPU based method.
Meningkatkan Kompetensi Bahasa Inggris Melalui ‎ Kursus Mingguan (Weekly Course) di Panti Asuhan Puri Kasih ‎Tembilahan Kab. Indragiri Hilir-Riau

Language has a very important role in intellectual, social and emotional development and is a support for success in studying all fields of study. Seeing the importance of this, the English Language Education Study Program, FKIP, Islamic University of Indragiri (UNISI) conducted Community Service (PKM) at the Puri Kasih Orphanage, Tembilahan, Kab. Indragiri Hilir – Riau. This activity is a form of service to the community, especially as a form of implementation of the obligations contained in the Tri Dharma of higher education. The method of implementing this activity is in the form of a course. The purpose of this PKM is to improve English competence through weekly courses. This activity was carried out ± 1 month for four meetings. The PKM participants involved 23 students who resided at the Puri Kasih Tembilahan Orphanage. In this PKM activity, there are several course materials provided, namely: alphabet, self-introduction, greetings, verbs, simple past tense, numbers, personal pronouns, present perfect tense, body parts, possessive pronouns, and descriptive text. The results of this PKM activity show that participants are able to use and apply the material that has been presented. This is supported by the percentage results that 17% of the participants got very good results, 48% of the participants got good results, and 35% got pretty good results. And there are no PKM participants who get less results. This shows that PKM activities that implement weekly English courses are able to make a positive contribution to improving the English competency of PKM participants.
The Internet and the Law of Evidence

The use of the internet, smartphones, social media and other forms of electronic communications are now ubiquitous across Africa. Courts are routinely faced with the question of the admissibility and probative value of different forms of electronic evidence and how best to implement laws governing the treatment of such evidence. This chapter critically analyses legislative and jurisprudential developments in Africa addressing the admissibility of electronic evidence and the weight to attach to it, with a focus on search and seizure of electronic evidence in the context of cybercrime. It shows that the African Union has provided some relevant guidance on both the requirements for admissibility and the weight to attach to such evidence. However, not all African states have domesticated such guidance. All the 55 African Union member states need to review their cybercrimes and procedural laws to ensure that electronic evidence is regulated adequately. This is critical to the protection of fair trial rights and to improving the administration criminal justice.
An Error Analysis of Coordinating Conjunction Misuse in Chinese ESL Learners’ Writings: A Corpus-based Approach

Coordinating conjunctions, which are more recurrently used words than the other words in English, are not as easily well-acquired by Chinese students as they are intuitively used by native speakers. Yet, insufficient attention has been drawn to the study of coordinating conjunctions, which often leads to great difficulties in the acquisition of coordinating conjunctions for Chinese English as a second language learners. The present thesis has selected the three coordinating conjunctions of higher frequency, and, but and or as the target words in the research to analyze the misuse of these words in Chinese ESL learners&amp;rsquo; writings of English under the theory of Error Analysis.The thesis established two corpora: Learner Corpus with 21 theses of Chinese graduate students of English major, downloaded from China National Knowledge Infrastructure (CNKI); Control Corpus with 22 theses from Proquest-PQDT. All the dissertations were essay writings about linguistics and were randomly selected. It was shown that there existed a minor gap in the frequency usage of coordinating conjunctions and, but and or between Chinese students of English major and native English speakers. However, the usages of SIA (Sentence-initial And) and SIB (Sentence-initial But) were strongly different between Chinese ESL learners and native English speakers. The conclusions above could serve as pedagogical references for English teachers in China so that Chinese ESL learners could come close to native speakers in terms of the usages of the three coordinating conjunctions and, but and or.