Reviewerly/exHarmony huggingface dataset:
A Need of HOTS-Based English Book for Ninth Grade Students

A learning process is supported by essential aspects such as syllabus, learning material, lesson plan, and textbook. The educator lately found that the handbook used still not fulfilled some of the criteria of a good quality handbook. Therefore, the research aims to develop the English Handbook for the second semester of ninth-grade students in junior high school. The current research is D&amp;D research. The instrument used were an observation sheet, interview guide, syllabus, and expert judgment. The participants were the English teacher of SMP Negeri 3 Singaraja. The data gathered qwere analyzed qualitatively and quantitively. The need analysis results found that the teacher and students did not understand the whole concept of HOTs. The supporting media also still not be variated as required to implement the HOTS in the learning process. Therefore, the results implied supporting the learning process with a good learning activity, media, and content based on HOTs.
Developing ICT-Based Learning Media Using Powtoon for Teaching Descriptive Text

The purpose of this study was to construct a PowToon animation video as an English teacher and learning medium for seventh-grade students in junior high school, specifically to teach writing descriptive text that is more engaging. The researcher used Design and Development method to develop the product. ADDIE (Analysis, Design, Development, Implementation, and Evaluation) method was selected as the design and development paradigm. The teacher and seventh-grade students of SMP Negeri 2 Sawan were the focus of this study. For data collection, the researcher conducted interviews, syllabus analysis, questionnaire distribution, and expert judgment rubric. Regarding descriptive text material, the PowToon animation video had an animal, a person, and a thing. The video was classified as good media based on the expert judgments rubric for material and media components. In addition, it increased students' enthusiasm and interest in learning English, particularly in improving their writing skills.
Grammatical Errors Committed by Students in Writing Cause and Effect Paragraphs

The purpose of this study was to identify the grammatical errors and analyze the sources of grammatical errors committed by students in writing cause and effect paragraphs. This research used a mixed-method design as the research design. The data were collected through document collection of mid-term tests and final tests. The subjects of this study were students in two classes of the English Language Education Program. The results of this study showed that the types of grammatical errors in students' writing were omissions 54 errors (44%), misformation 37 errors (31%), addition 28 errors (23%), and misordering 3 errors (2%). The total errors committed by students in their paragraph writing were 122 errors. Meanwhile, the source of errors in students' writing was caused by intralingual transfer 82 (67%), interlingual transfer 35 (29%), and communication strategies 5 (4%). In writing, it is encouraged to check grammar through grammar checking that are available in order to reduce grammar mistakes and make the massage of the writing clearer. Teachers are encouraged to pay attention to students’ grammar and use teaching technique that can improve students’ grammar.
Endophysics of the «point» as an object of study of the science of the future

It is proved that the introduction of the postnonclassical concept of point into scientific circulation will allow a deeper understanding of the essence of Genesis, change science and civilization as a whole. It was revealed that the point is, of course, an infinite fractal of the universe and space. It has been established that the external connections of the point form the physical cosmos, and the internal ones form the extraphysical reality. An interpretation of the geometric concepts of the structural elements of space is given (the complex point Kantors axiom, 1872). A new version of the concept of friedmons is presented. New ideas about space and time, the form and structure of the universe have been developed. The mechanism of entry of mankind into the world of four dimensions is revealed.
The Rise and Rise of Natural Language Processing Research, 1958-2021

Abstract The authors have requested that this preprint be removed from Research Square.
Digital idiocy in higher education: Mapping the challenge

&#x0D; This paper proposes a set of conceptual underpinnings for understanding the conditions for civic participation. While the empirical research is not undertaken in this paper, an understanding of the conditions for, and partially, nature of, civic participation is required for finding out whether digitizing higher education is detrimental to civic virtues such as participation and courage. Based on examples of on-campus political action, the paper explicates three aspects of civic virtue: Firstly, an architectural aspect that can invite, bar or allow for political action, through sit-ins, barricades and the like. Secondly, a virtue-forming aspect, where forms of collective action can help foster virtues by encouraging or sanctioning certain kinds of action. Thirdly, an informational aspect, where the structure of brick-and-mortar campuses strengthens politically significant informational structures, allowing for both common knowledge and public signals (open spaces) and “closed curtains” enclave deliberations. In contrast with a range of recent attempts at resisting a decline narrative that point to changes in the nature of civic virtue with digitization, the paper concludes by using the three aspects to point to possibilities of identifying the same aspects of civic virtue online as can be found in a physical, campus setting. &#x0D;
Penal Protection for Consumers from Fake or Unreal Discounts: A Comparative Study of Emirati and French Laws

When shops offer discounts, consumers are incentivised to acquire merchandise and/or services. So, it is also when merchants attempt to expand their product distribution and boost sales to increase profit margins. Unfortunately, merchants may also resort to disingenuous and fraudulent methods, such as announcing a fake or unreal discount sale. Since consumers require adequate legal protection from such harmful practices, Emirati and French legislators have criminalised fake and unreal discounts. This paper compares penal protection from fake or unreal discounts in Emirati and French legislation to balance the interests of merchants and consumers. This study adopts a qualitative methodology through a comparative and analytical approach and concludes that Emirati and French legislation adopts different criteria to achieve the desired goal of discounts. It was recommended that the Emirati legislator reconsider penalties for natural and legal persons committing commercial fraud by specifying up to three years imprisonment and a fine proportional to the value of the profits obtained from the crime of offering fake or unreal discounts. Furthermore, legislation should address the crime of announcing such discounts.
A survey on crypto-enabled watermarking schemes

Digital Watermarking is the technique to protect the images, which may be pirated by the other persons. Watermarking is one of the solutions to protect an image, however it is also used to protect audio and video. In watermarking one image is embedded into the image which we want to protect, using certain algorithms, we can’t see the embedded image. To increase the robustness and imperceptibility of watermark different variants of algorithms are used. There are different watermarking techniques which have its own advantages and disadvantages. Different algorithms are proposed to increase the robustness and imperceptibility. Cryptosystem concepts are also used in the watermarking to enhance the robustness and security.
The Effect of Some Different Mobile Learning Applications for Developing Students' Engagement and Achievement in the E-learning Concepts Unit

The study aimed to focus on the use of the mobile learning strategy to increase learning engagement and achievement in e-learning concepts for students. The study used a descriptive and quasi-experimental approaches to prepare the literature framework and two measurement tools and apply experiment, including an achievement test and engagement scale . The study sample consisted of 50 learners. The researcher used a t-test to measure the differences between the first experimental group taught by a MMS (multimedia messaging service), and second experimental group taught using the WhatsApp. The content of subject consisted of videos, photos, PowerPoint presentations and the use of appropriate URLs, which was provided through mobile learning platforms. The results showed that there were statistically significant differences in α≤0.05 between the mean students' scores of the first and second experimental groups in the post-tests in achievement and learning engagement. This was in favor of the second experimental group, which used WhatsApp on achievement and learning engagement, unlike the first experimental group that used multimedia service.
Group-theoretical Property of Slightly Degenerate Fusion Categories of Certain Frobenius-Perron Dimensions

Let p,q be odd primes, and let d be an odd square-free integer such that (pq,d) = 1.We show that slightly degenerate fusion categories of Frobenius-Perron dimensions 2p 2 q 2 d, 2p 2 q 3 d and 2p 3 q 3 d are group-theoretical.
Program of transdisciplinary dialogue in modern science: paradigm foundations

The paradigmatic foundations of the program of transdisciplinary dialogue in modern science have been considered: such as the formation of a new type of determinism, the transition from the analyst of being to the analyst of formation, the rejection of rigid nomothetics and the traditional interpretation of the subject-object opposition. The tendencies of overcoming interdisciplinary boundaries in modern science are have been analyzed, leading to the convergence of the natural and human sciences, including the adaptation of a number of methodological principles of the humanities by natural science.
Design Serious Game For Automatic Optimization Production Based on Blockchain

Abstract Indonesian agricultural production is unpredictable. The harvest quality causes this is not-optimal harvest quality. The researchers provide a solution by utilizing a severe game design model as a learning medium to make decisions for optimizing production. In comparison, Blockchain technology is for data security, Distributed ledgers and Smart Contracts. The transaction between producers and consumers are permanent and verified. For the literature study of optimization to maximize farmers' production, the researchers use Simplex Method as an objective function and the Pareto function as an optimization model for multiple problems by finding solutions for all purposes to improve farmers' production. Multi-Objective Optimization, Linear Programming, Blockchain, and Hierarchical State Finite Machine are needed to design a serious game. This study designed Hierarchical State Finite Machine Serious Game using Blockchain and Multi-Objective Optimization method as a learning medium to simulate farmers making decisions In producing agricultural quantities based on consumer demand, stock, price, season, and planting time. Blockchain is used to track the availability of farm stocks so that the supply of consumer needs is met.
ENEX-DCF: A BERT-based model for Chinese address element recognition

Correspondence addresses are widely used in e-commerce logistics, government registration, financial transportation and other fields. The analysis and aggregation of communication addresses is an essential service. However, in practical applications, the address text has the characteristics of free writing, many default aliases, and a strong locality, which cause some difficulties in identifying addresses. To address the above problems, this paper proposes a DCF model (Dropout and Constrained Features) combined with an entity extractor (referred to as ENEX) using a baseline BERT model, to perform named entity recognition on Chinese address element data. In this paper, we use hierarchical learning rate setting and learning rate decay strategies to improve the accuracy of recognition and adversarial training to improve the robustness of the model. Compared with the BERT-CRF model, the F1 value of our model is enhanced by 4.15% in the Chinese address element parsing dataset, and its F1 value can reach 93.34%. This proves the effectiveness of the ENEX-DCF model in Chinese address element recognition.
A Survey on Automated Assessment Questions Generation System Using Supervised Algorithms

Abstract: The only method for gauging the effectiveness of a teacher's lessons and the learning results of students is examination. Creating the questions and then randomly assigning them to the test are processes in the manual production of test papers. It takes a lot of time and effort to manually create test papers that match the standards of a good test paper. Mainly generating the test papers to evaluate the student technical skills is more time taking and the recruiters always want to know the students in better way by conducting the tests in the technical concepts. Our system helps in generating the questions automatically from the database which consists of the questions of the various technical concepts. To store the data and access the information from the database we are using MYSQL. To generate the test paper with the questions based on the skills known by the candidates we are using the classification algorithm like Naive Bayes Classifier, Random Forest Classifier and the Decision Tree. Naive Bayes, Random forest and Decision tree ,all are supervised algorithms. Giving the questions depending upon the candidate skills in the test paper will effectively evaluate the knowledge of the candidate in the skills that they know rather than testing their knowledge in completely unknown domain, the recruiters will also get the chance to know the candidate capabilities accurately and they can use the skills of the candidates in the better way and they can allocate the work to the candidates based on their performance in the particular skill. To know the performance of the candidate in the test , we have provided the graphical user interface (GUI) which was designed using the HTML and CSS concepts, where the questions are generated depending upon the classified results of the candidates.
Design and Implementation of Seven Segment Display Using Reversible Logic Gates

Abstract: An important issue in Seven segment display is heat, but the reversible logic gives less amount of heat dissipation. So, it’s an important role in nanotechnology, less energy complementary metal oxide semiconductor CMOS designs etc. Seven segment displays are most effective devices used in electronic meters, digital calculators, clock radios, digital clocks, odometers, displays in home appliances, etc.In this project, an efficient seven segment display is designed using reversible logic gates CNOT, FREDKIN and PERES gates. Retrievability is a feature which every electronic device wants to posses , In reversible logic gates the inputs and outputs can be retrievable from each other. Backward operation is used in this circuit which allows to retrieve the inputs from the outputs therefore consuming zero power. Reversible logic circuits are also known as lossless circuits, which has neither information loss nor energy loss. The reversible logic operations dissipate less heat and can't erase information.
Study on Malaria Detection Using Transfer Learning

Abstract: The occurrence of Deep Learning models has substantially reformed the field of intelligent systems inheriting the likewise human behavior. These systems use Deep Neural Networks architecture, that is, to be effective in applying analytical and logical thinking to solve in all applicable fields. Deep Learning has pushed us to the limits in the domain of Digital Image Processing which had been in progressive development these years. Malaria is now a lethal, life-threatening disease by Anopheles mosquito bite spread through Plasmodium parasites. This process needs trained experts or qualified technicians, to examine the spread-out blood smears under the microscope. In this paper, we put forward a comparative study of deep Learning techniques for malaria detection. We first classify the cell images. We apply convolutional neural networks (CNNs) to distinguish the cells. Then, we analyze the models using a pre-trained learning approach, where the classification of infected cells improves diagnostic accuracy. This study uses Inception-V3, NasNetMobile, MobileNetV2, Xception, and VGG-19 models for analysis. Many Deep learning algorithms can be used to predict malaria, but in this study, MobileNetv2 and Inception-V3 models have better accuracy.
The Efficiency of Using New Information and Communication Technologies in Primary School Lessons: the E-Learning Experience

The importance of the topic of the article lies in the fact that in the era of postmodernism, informatization of the elementary school allows you to improve the quality of the educational process, through the use of information and communication technologies (ICT) to simplify management of the educational process, to organize the exchange of teaching experience, to expand didactic capabilities of the lesson. The purpose of the article is the need to study and justify the importance of using new ICT in primary school lessons, to expand the experience of e-learning in primary school. The article expands the concept of information and communication technologies and their benefits in primary school; given the rationale for conducting a lesson using ICT; the experience of e-learning in the primary school of the postmodern era is characterized. Thus, one of the priorities of the development of education in postmodern society is the professional application in all areas of information technology and e-learning, which can increase the interest of present students and improve the ability to adapt to current electronic information society. The formation of knowledge and skills in the field of computer literacy of teachers and students will be an indicator of compliance of its level with current requirements.
Symmetric Encoding-decoding Framework without Backpropagation

We propose a forward-only multi-layer encoding-decoding framework based on the principle of Maximal Coding Rate Reduction (MCR$^2$), an information-theoretic metric that measures a statistical distance between two sets of feature vectors up to the second moment. The encoder directly transforms data vectors themselves via gradient ascent to maximize the MCR$^2$ distance between different classes in the feature space, resulting in class-wise mutually orthogonal subspace representations. The decoder follows a process symmetric to the encoder, and transforms the subspace feature vectors via gradient descent to minimize the MCR$^2$ distance between the reconstructed data and the original data. We show that the encoder transforms data to linear discriminative representations without breaking the higher-order manifolds, and the decoder reconstructs the data with high fidelity.
The Analysis of Compounding In Children Story Book Dumbo The Magical Story By Walt Disney And Its Implications As Teaching Materials For Junior High School Students

The study aims to describe the formation of compounding in children story book Dumbo The Magical Story, written by Walt Disney. This study also aims to reveal types of compounding that is mostly found in the object, and to reveal the reasons. This study also describes the implications of compounding as teaching materials in narrative text for Junior High School Students. This is a qualitative with a descriptive method. The data used in this study were the compound words in children book Dumbo The Magical Story. The data collection technique used was note-taking. To measure the implications level of compounding as teaching materials in narrative text. A survey was done to 10 Junior High School students using Likert scale. The data were analysed by matching method with lexical distribution technique. The study shows than the compounding found in Dumbo The Magical Story has 3 forms namely nominal compounding, verbal compounding, and adjectival compounding. The result shows that there were 48 compounding forms consists of 25 compounding of noun+ noun, and 23 compounding of noun + adjective. it was found 6 compounding of verb+verb, 4 compounding of verb+ adjective, 5 compounding of verb + noun, and 1 verb +adjective. in the adjectival compounding, it was found 2 compounding of adjective+ adjective, 3 compounding of adverb + adjective, and 1 adjective + adverb. The form of noun+noun is mostly found in the study. That was because the target readers of the book are children so that the words used were arranged accordingly to make them understand. The implications of compound words as teaching materials in narrative text shows 3,86 out of 5 scale by using The Likert scale.Key words : compounding, children story book, teaching material, narrative, JHS students
PEMBELAJARAN MENULIS TEKS EKSPOSISI DENGAN METODE BRAINSTORMING KELAS X

This study aims to determine leaming to write an exposition text using the brainstorming method for students. The research was carried out on class X IPS 1 students in the odd semester of the 2021/2022 school year. The place of research is at Madrasah Aliyah Ar-Rifa’iah Bogor City. The formulation of the problem studied in this study is how to use the brainstorming method in leaming to write exposition text of class X students of Madrasah Aliyah Ar-Rifa’iah Bogor City, odd semester of the 2021/2022 school year?. The method used in this research is descriptive qualitative. Data collection techniques in this study used several methods, such as observation, interviews, documentation, and tests. The aspects assessed in this study were the content of ideas, structure, vocabulary, effective sentences, and spelling. The results showed that the average ability ofclass X IPS 1 students in leaming to write exposition texts using the brainstorming method was 85.66 or rounded to 86. This value, if categorized in Burhan Nurgiyantoro's theory, got the predicate very good (A). This has a positive impact and makes it easy for students to write an exposition text.Keywords: Brainstorming Method, Writing Leaming, Exposition Text
Analisis Rekomendasi Produk Berdasarkan Segmentasi Pelanggan Menggunakan Algoritma DBSCAN dan FP-Growth

Supermarket 212 Mart is a retail business based on sharia cooperatives that has implemented strategy to retain customers. But there is still a drawback, which is just seeing based on the amount of money spent regardless of recency and frequency. In addition, in offering products, 212 Mart does not yet have the right reference. This research combines RFM analysis into data mining techniques to provide more product recommendations good. Parameters considered are customer RFM value, customer segment, and product which are often purchased simultaneously within 1 year of member transaction data using an algorithm DBSCAN and FP-Growth. In customer segmentation, obtained 5 clusters and 31 noise data with an Eps value of 0.060, MinPts 3 and an SI value of 0.4222. Association results using 30% minsup and minconf 70% resulted in cluster 1 having 7 rules, cluster 2 having 6 rules, cluster 3 having 10 rules, cluster 4 has 2 rules, and cluster 5 has 6 rules. The rules formed can be used to direct marketing by recommending products to their respective customers clusters.