Reviewerly/exHarmony huggingface dataset:
Cloud Architecture: Benefits and Best Practices

The business world has been evolving with a rapid pace due to the arrival of the forth industrial evolution and globalization. It has been comes forth a number of modern technological equipment and process which most effectively helps an enterprise to avail a higher business growth in the worldwide business surroundings. The entire data storing, accessing operation become mostly essential for the business companies to make suitable strategies and decisions to maintain the their overall operational and strategic takes as well to gain attention of the consumers through taking more consumer centric decisions. Cloud architecture is one of the most helpful aids from the technological evolution which most significantly assists to enhance the data storage and accessing process of an enterprise in the global market. The entire study has been keep its concentration on discussing the concepts, advantages and best practices involved with cloud architecture in international market. A number of qualitative data has been used within the study to come forth with most effective output result which has been gathered through taking secondary data collection method within the study. It provides the key support to understand the overall concepts, benefits and associative practices of the cloud architecture. Keyword : Access, Cloud architecture, data, storage.
Deep Learning Based Bitcoin Price Forecasing Using LSTM

Abstract: Bitcoin is one of the most popular and valuable cryptocurrency in the current financial market, attracting traders for investment and thereby opening new research opportunities for researchers. Countless research works have been performed on Bitcoin price prediction with different machine learning prediction algorithms. For the research: relevant features are taken from the dataset having strong correlation with Bitcoin prices and random data chunks are then selected to train and test the model. The random data which has been selected for model training, may cause unfitting outcomes thus reducing the price prediction accuracy.
Integrating Multi-Cloud to Establish Cloud Security for Secured Cloud Transaction

Nowadays every possible transaction is occurring online so for all these transactions required security must be provided. It is not easy to produce such security since there will be a huge amount of data involved here as well as stored data must be kept confidential so to achieve these things we need to perform transactions through the cloud. Since technology has been developed the rate of the cloud being attacked is also increased so to prevent this integration two clouds must be used. The existing system does not apply cloud integration instead of that they use only data encryption for secure transactions. In the Proposed system of the project apart from data encryption cloud integration is also gets implemented here to establish transactions more securely. In this proposed system, we implement three levels of security which are low, medium, and high. Here We use only data encryption for low security level and in medium security level splitting of data occur along with data encryption to establish more secure transaction than low security level. Finally in order to produce a higher security level we use both cloud integration and splitting of data along with data encryption to produce transactions more securely than medium security level.
Analysis of the Importance of Product Image of Intelligent Voice Assistant to Consumers' Willingness to Use

AI applications, represented by intelligent voice assistants, have risen rapidly worldwide, bringing convenience to consumers and opening up new business models for enterprises. With the increasingly fierce market competition, intelligent voice assistants also have serious problems of homogeneity and high content overlap. In the past, it was difficult to establish advantages in competitive products with product design ideas that only meet the functional needs of consumers. In order to solve this problem, enterprises began to design the product image of intelligent voice assistant, trying to attract consumers and improve their willingness to use by innovating the product image of intelligent voice assistant. This article crawls the online review of an intelligent voice assistant product, analyzes the importance of product image design from the actual experience of consumers, and provides some reference significance for enterprises to design the image of intelligent voice assistant products and marketing strategies.
E-Learning Acceptance in the Post COVID-19 Period: A Case Study

The experience lived by students during the COVID-19 pandemic will remain etched in their memory because they suddenly found themselves confined and they were forced to continue their studies entirely online from home. This article focuses on the study of factors that may influence students of the National School of Business and Management of Oujda in Morocco to continue using e-learning in the post COVID- 19 period. The research model is based on the Technology Acceptance Model and is validated using structural equation methods. Data analysis showed the importance of the online course design factor on perceived ease of use and perceived usefulness. It revealed the direct influence of these two factors on the use of the e-learning system, which is also influenced indirectly by social influence through the mediatization of perceived usefulness.
Multilingual semantic fusion network for text recognition in the wild

Most current approaches in the literature of scene text recognition train the language model via a text dataset far sparser than in natural language processing, resulting in inadequate training. Therefore, we propose a simple transformer encoder–decoder model called the multilingual semantic fusion network (MSFN) that can leverage prior linguistic knowledge to learn robust language features. First, we label the text dataset with forward, backward sequences, and subwords, which are extracted by tokenization with linguistic information. Then we introduce a multilingual model to the decoder corresponding to three different channels of the labeled dataset. The final output is fused by different channels to get more accurate results. In experiments, MSFN achieves cutting-edge performance across six benchmark datasets, and extensive ablative studies have proven the effectiveness of the proposed method. Code is available at https://github.com/lclee0577/MLViT.
Problem-Oriented Approach to Synthesis of Mathematics and Philosophy in Pedagogical Innovation

The paper shows that innovation in mathematics education can be seen as a creative process of implementing methodological and technological innovations to improve its effectiveness, which primarily reflects the creative potential of the teacher of mathematics. Innovations in the system of mathematical training of engineering students are based on the conceptual content of the problem-oriented approach to the synthesis of mathematics and philosophy, which in the philosophy of mathematical education becomes the most important methodological component of the quality of pedagogical innovations of the educational process.
Access control method of laboratory cloud data based on internet of things technology

In order to solve the problems of low access efficiency and poor security in the access control method of laboratory cloud data in the environment of internet of things, this paper proposes the access control method of laboratory cloud data based on internet of things technology. It decomposes the data in the laboratory cloud database into the minimum attributes, encrypts the attributes of the acquired laboratory cloud data, and generates the minimum granularity key that meets the access tree constraints. It combines the internet of things technology and proxy re encryption technology, maps the access structure and attribute set through hash function, encrypts the symmetric key with CP-ABE scheme, and realises the number of laboratory clouds According to the access control method. The simulation results show that the minimum memory cost of the proposed method is 524 bytes, and the highest efficiency is about 98%.
Aplikasi metode association rule pada promosi produk

Product promotion is important by utilizing customer opinion to help choose products. A cafe is a place that many people visit, so it requires product promotion. Knowing the types of products that are often purchased can be used to determine what products are suitable to be promoted to customers. Therefore, it requires a method used for product promotion using association rules using support and confidence parameters. The results obtained are: If customer support for buying onion rings is 18%, then the confidence in latte americano is 60%. If customer support for buying onion rings is 25%, then orange juice confidence is 80%. If customer support for buying an iced latte is 13%, then confidence in onion rings is 66%. If customer support for buying onion rings and latte americano is 13%, then the confidence in orange juice is 67%. If customer support for buying onion rings and latte americano is 13%, then confidence in an iced latte is 67%.
Knowledge Level of Coaches of Al-Manaseer League Football Clubs in Jordan Its Relationship to Sport Achievement

The study aims to know about the Knowledge level of coaches of al-manaseer league football clubs in Jordan it is relation to sport achievement. The researchers used the descriptive approach to the suitability of the nature and objectives of the study, and the sample of the study consisted of (36) coaches in the intentional way, and The search used two samples measure the knowledge for the coaches , and used "spss" to find the statistical processors find the answers. The result shown the knowledge for personal features for the coaches is good and variable (training class) has the biggest effect for the coaches. And also The results showed the existence of a correlation between the knowledge and the sport achievement for the coaches. The researchers recommended the attention and focus on the Knowledge level of coaches through Knowledge courses in the Knowledge to be as scientific basis when they choose the coaches for professional clubs for football in Jordan.
Students’ Motivation in Completing English Assignments in Online Learning During Covid-19 Pandemic

This research aimed to identify students’ levels and the types of motivation that they apply the most to completing their English assignments in online learning at class X in SMAN 1 Sajingan Besar in the academic year 2020-2021. The researcher conducted descriptive research and collected the data using a questionnaire given to 68 students. The first result revealed that students’ motivation for completing their English assignments in online learning was in the middle category at 70.23%. Meanwhile, the second result showed that the type of motivation students applied the most was extrinsic motivation, with 73,68%. The majority of the conditions contributing to students' extrinsic motivation were related to feeling guilty, being aware of the need to improve their English skills, and feeling proud when completing it on time. Then, the students were influenced intrinsically by their feelings of satisfaction and enjoyment. However, amotivation also occurred because of a lack of awareness and a lack of vocabulary mastery. These findings suggest that, even though extrinsic motivation was quite high, students had to have intrinsic motivation and complete their assignments with interest, enjoyment, and satisfaction. The teacher and the parents must support students harder to help them complete assignments in online learning.
The Development of a Creative MIMA (Mind-Mapping) English Book for Supplementing Students Learning Material

This study aims to develop a creative supplement book, MIMA English Book, for supplementing student learning material. Implementing a mind map helps summarize learning material and stimulate the students to have a better understanding of learning English subject. This study uses research and development methods using a quasi-experimental research design. The population of this study was students of class X, SMA Negeri 2 Trenggalek, especially in class X MIPA 1 which consisted of 33 students. Methods of data collection using interviews, questionnaires, observations, and tests. From the results of research that researchers have carried out, it was found that 1) The MIMA English Book was developed according to the student needs questionnaire and the results of interviews, 2) Feasibility validation which showed that the MIMA English Book presented materials and media that deserved to be tested, 3) Positive feedback from students against the MIMA English Book, and 4) The results of the t-test showed that there was a significant effect of the use of the MIMA English Book on students' learning in English. In conclusion, the MIMA English Book is an effective learning medium for supplementing student learning material in learning English.
EFL Teachers’ Strategy in Teaching English Narrative Writing During Covid-19 Outbreak

The COVID-19 outbreak throughout the world forced the government of Indonesia to shift academic programs into online mode. The objectives of this study are to describe the teachers' strategies for teaching narrative writing during the COVID-19 outbreak and to find out the teachers' reasons to choose the strategies. Therefore, a qualitative research design was applied and the data was gathered through semi-structured interviews and online observation. Two exemplary teachers were involved as the respondents in the present study. Data coding was conducted to analyze the data gained from those research instruments. The findings revealed that the first respondent (JY) used cooperative learning, group discussion, and translation as her strategies in teaching English narrative writing text. Meanwhile, the second respondent (RN) used guided questions, cooperative learning, and translation as her strategies for teaching English narrative text during the pandemic. The findings showed that the first respondent (JY) utilized those strategies to increase students' participation, enhance students' vocabulary mastery, and developed student writing ability. Meanwhile, the second respondent (RN) utilized the aforementioned strategies to enrich students' vocabulary mastery, and improve students sentence structure.
Approaches and Methods to Teaching Grammar in Textbooks Used in First Semester of English Department Students at ABA Balikpapan

This study aims to describe, compare, and contrast approaches and methods to teaching grammar in textbooks used in First Semester of English Department Students at ABA Balikpapan. It chooses, as samples for analysis, textbooks of one particular class to focus on the approaches to teaching grammar in these textbooks. These textbooks are taught for first intermediate class and belong to two different series titled First Semester of English Department Students at ABA Balikpapan opportunities and English for First Semester of English Department Students at ABA Balikpapan. Each of these textbooks follows essentially different approaches to teaching grammar. This study aims to highlight the similarities and differences between the books and reveals the weaknesses and strengths of the approaches in these books. The purpose of the study is changing these textbooks and to reveal the similarities and differences between the old and new textbooks. The data collection method of this research is the collation texts for analysis. The information is breaking down subjectively and quantitatively. The study considerably contributes to the field of language teaching in First Semester of English Department Students at ABA Balikpapan especially grammar teaching through drawing attention of language lecturers, textbook writers, as well as learners to a certain degree, to the weaknesses and strengths of the PPP method (Presentation Practice Production) in the First Semester of English Department Students at ABA Balikpapan opportunities textbook and task-based approach in the English for First Semester of English Department Students at ABA Balikpapan textbook.
The impact of social media on the behaviour and values of university youth in the Sultanate of Oman

The study aimed to identify the impact of social media on the behaviour and values of university youth in the Sultanate of Oman with a field study on Al Sharqiya University. Third, the study reached the following results: There is a wide impact of social media on the behaviours of students at A'Sharqiyah University, as these effects tended to the negative side more than the positive in general, and the effects were in the following aspects: increasing students’ isolation, and staying up all night due to integration with some programs, and the effect was also on emotion to a high degree, while the effects of social media on the values of university students tended to be positive, there are several values that interacted positively, including: expanding social relations, the recipe for cooperation and helping others, and empathy greatly with others. The study also confirmed the absence of significant differences. A statistic at the level of (0.05) in the impact of social media on the axes of values and behaviours attributed to the school year. The study recommends intensifying legal and self-censorship and spreading network culture, whether through various programs or lectures.
Grading Multiple Choice Questions Based On Similarity Measure

Recent findings show the poor performances of students in Multiple Choice Questions (MCQ) examinations. This could be attributed to the administration of questions on application of knowledge rather than on fundamental of knowledge. Candidates doing these examinations at times choose options that are close to the actual answer but get zero (0) as the reward. The objective of developing a system that rewards a candidate based on the approximation of an option chosen not on the exactness of the option to the answer was therefore formulated in this study. 500 MCQs with their model answers, students’ answers and scores obtained from two universities in Nigeria were collected. Jaro similarity measure was used to compute the degree of similarity between the model answers and the student answers. Results of the experiment show an average deviation of 13.3 marks. The adoption of this method of grading would be very beneficial in evaluating learners on e-learning platforms. The result is encouraging but could be improved upon with semantic similarity measure hybridized with string similarity.
Hoax Classification in Indonesian Language with Bidirectional Temporal Convolutional Network Architecture

The increasingly massive rate of information dissemination in cyberspace has had several negative impacts, one of which is the increased vulnerability to the spread of hoaxes. Hoax has seven classifications. Classification problems such as hoax classification can be automated using the application of the Deep Learning model. Bidirectional Temporal Convolutional Network (Bi-TCN) is a type of Deep Learning architectural model that is very suitable for text classification cases. Because the architecture uses dilation factors in its feature extraction so it can generate exceptionally large receptive fields and is supported by Bidirectional aggregation to ensure that the model can learn long-term dependencies without storing duplicate context information. The purpose of this study is to evaluate the performance of Bi-TCN architecture combined with pre-trained FastText embedding model for hoax classification in Indonesian and implement the resulting model on website. Based on the research that has been done, the model with Bi-TCN architecture has satisfactory performance with an accuracy score of 92.98% and a loss value that can be reduced to 0.191. Out of a total of 13,673 data tested with this model, only 414 data or in other words around 3% of the total data were incorrect predictions.
How to Obtain Valid Generalized Modal Syllogisms from Valid Generalized Syllogisms

Making full use of the truth value definitions of sentences with quantification, possible world semantics and/or fuzzy logic, one can prove the validity of generalized modal syllogisms. This paper shows that the proof of the validity of a generalized modal syllogism can be transformed into that of its corresponding generalized syllogism, and that the generalized syllogism obtained by removing all modalities in any valid generalized modal syllogism is still valid. Therefore, the simplest way to screen out valid generalized modal syllogisms is to add modalities to valid generalized syllogisms, and then to delete all invalid syllogisms by means of the basic rules with which valid generalized modal syllogisms should meet. And then the remainders are valid. This paper illustrates how to obtain 12 valid generalized modal syllogisms by adding necessary modalities and/or possible modalities to any valid generalized syllogism. The two kinds of syllogisms discussed in this paper are composed of sentences with quantification which is the largest number of sentences in natural language. Hence, this innovative research can provide theoretical support for linguistics, logic, artificial intelligence, and among other fields.
Design of air conditioner (AC) system simulator on cars to improve student competence

The purpose of this study is to design a simulator for a car air conditioning system as a learning medium, so that the learning objectives can be achieved properly and in accordance with the expected competencies. This design uses an electric motor drive to drive the AC system compressor so that it is easier to operate and does not produce air pollution and is made with a design that can be moved easily by having sturdy wheels. The electric motor is also equipped with an inverter that can adjust the rotation of the motor as in the conditions of a real car engine. This research model uses Research and Development which includes the stages: problem analysis, seeking information, designing a model, validating the design, evaluating the model, testing the model, revising the model, wider testing, finalizing the design. The results obtained are the creation of an AC simulator that has been validated by experts in terms of media and material in the very feasible category, then from the user side with 25 respondents giving a value in the very feasible category for use in learning. The increase in competency occurred by 23.90% with a comparison of the pretest value with the posttest value.
English Language Teaching in Indonesia: Monolingual and Multilingual Practices

21st century urges one’s ability to tacitly navigate the increasingly complex linguistic spaces of this modern world and it results in super diverse society (Gallagher, 2020). Kachru’s (1986, as cited in Wardhaugh &amp; Fuller, 2015) arrives with the conceptual framework named world of Englishes. It becomes such pivotal consideration to drive today’s language ideology, including Indonesian. This literature review then aims at unveiling Indonesian EFL teachers’ views about monolingual and multilingual practices by capitalizing English language teaching classroom as the context. Data were derived from relevant research reports that meet the criteria. Criteria comes in threefold. They were conducted in any range of time, were obtained from catch-all indexing, and were done in Indonesian setting. The findings come in agreement that both monolingualism and multilingualism yielded two camps: justifying it and rejecting it in Indonesian EFL context. Implication is then needed to further validate it in accordance with empirical research’s result.