Reviewerly/exHarmony huggingface dataset:
Pengembangan Media Pembelajaran e-Flashcard Berbasis Website untuk Pembelajaran IPA SD

This study aims to develop learning media in the form of website-based e-flashcards for natural science learning in elementary school that are valid, practical, and effective. The research method uses the ADDIE model (Analysis, Design, Development, Implementation, and Evaluation). This study involved one sample group from SD Negeri 98 Pekanbaru. The research instrument consisted of content expert validation, media expert validation, design expert validation, test questions, and student response questionnaires. The data generated from data collection using instruments then analyzed for validity, practicality, and effectiveness. The results of the analysis obtained are: (1) the mean content expert validation value is 4.3 with very valid criteria; (2) the mean media expert validation score is 4.5 with very valid criteria; (3) the mean value of the design expert validation is 3.9 with valid criteria; (4) the average score of student test results is 85,92 with good criteria; and (5) the average student response score is 4,38 with the very practical criteria. It can be concluded that the of website-based e-flashcards for natural science learning in elementary school fulfilled the valid, practical, and effective criteria.
Penggunaan Metode Storytelling dalam Pembelajaran sebagai Upaya Meningkatkan Keterampilan Berbicara Siswa

In an educational environment, mastery of speaking skills must be prioritized to achieve the expected targets according to applicable standards. At first glance, language mastery, especially students' speaking skills at the elementary school level, are not fully on target. This study aims to describe the use of the storytelling method as an alternative to improving Indonesian speaking skills, to foster appreciation for Indonesian literary works, and to find out the extent of the effect of the storytelling method in improving the speaking skills of class II MI Misbahul Fata students. This classroom action research uses the Kemmis and Mc spiral model design. Taggart which has four cycle components. Each research cycle includes stages; planning, observation and reflection. The subject of this study was students of class II MI Misbahul Fata, who in fact were in the Islamic boarding school environment, Klenang Kidul Village, Banyuanyar District, totaling 12 students. The problem that is rife with students is that they usually mix their mother tongue with the national language. There are several steps to implementing this storytelling method; The first is the opening stage, the second is the storytelling stage, the third is the closing and evaluation stage. In the early stages, the acquisition of student scores was 64.6% in the initial cycle from the previous data of approximately 59.5%, in the second cycle the average was 71.25%. In cycle I the completeness of the number of participants was around 58.3%, from cycle I it increased to 83.3% in cycle II. With these results, it can be concluded that the storytelling method can support students' speaking skills.
Intelligent Chatbot For University Information System Using Natural Language Approach

High school students begin applying to university during the senior year or upon completion. This marks the beginning of a complete frustration for students as well as admissions staff. Students have countless questions and problems that need to be answered repeatedly and resolved by the admissions staff. The development of the chatbot was carried out with the aim of solving the problems faced by students interested in enrolling in the university by offering consolidated, authentic and accurate information through a live chat window. In the development, the university Chatbot obtains its knowledge from students frequently asked questions and implement dialog- flow as the platform to design the chatbot. Natural language processing is used to create the components required for developing a university chatbot design. The chatbot application implements a search for answers through questions entered from the user. The chatbot is expected to help prospective students register for admission procedures, study programs, and scholarship information. The chatbot will analyse and match categories based on the knowledge that the chatbot has. The goal of this project is to design a chatbot that can be utilized by students on the university's website to get their questions answered quickly and effortlessly.
Determinants of Cybercrime and its Impact on eCommerce Development in Bangladesh

The research study aims to delve into the various external factors in the sociocultural and political domain of Bangladesh that encourage cybercrime. These factors play a major role in shaping the psyche and perspective of offenders. The paper applies the method of survey and systematic review. The survey is conducted using the method of stratified sampling for having the best idea about the trends and perspectives of the indigenous population of Bangladesh. The systematic review in context is conducted by application of the grounded theory approach of qualitative research method. Constant comparative method with the three levels of coding procedure is used for zeroing in on the theoretical perspective regarding the answers to the research questions of this study. The intricate process in context is used for identifying the reasons leading to acts of cybercrime. Moreover, the intertwined relationship between cybercrime and the domain of e-commerce in Bangladesh gets explored. The various ways in which the domain of ecommerce is exploited by the offenders for victimizing companies or consumers is scrutinized. The thesis explores the manner in which e-commerce is being detrimentally affected by the encompassing challenges. The findings and analysis lead to the identification of key ways in which the domain of e-commerce can thrive and flourish in Bangladesh. The aspects of management, trust, awareness, and technology are explored in detail. Apart from this, other factors that are associated with the performance of ecommerce companies are also scrutinized in the course of the study. The recommendations made in the study can pave the way for successful business management of e-commerce companies and stronger economy in Bangladesh.
Knowledge management for information security incident handling at Security Operation Center of Jakarta Provincial Government

Information security incidents have increased in number and become more diverse and destructive and disrupt service availability. An incident management system is needed to detect and handle information security incidents quickly, minimize losses, reduce exploited vulnerabilities and restore infrastructure, including services. An incident management system needs to be managed with a Security Operations Center (SOC). The use of tacit knowledge has been shown to help accelerate problem-solving in SOC better than experience by adopting strategies that have been used previously. The application of knowledge management in SOC has become a basic need. An organization's ability to manage existing knowledge is a necessary strength to be able to survive in the face of incessant cyber-attacks. This study aims to examine the process of capturing tacit in SOC so that it can be used to analyze and deal with cyber threats and to lay the foundation for implicit knowledge management in organizations to increase the efficiency of work methods and processes responding to incidents efficiently and systematically.
Autonomy in higher education in Vietnam

Currently, the education and training in Vietnam sector has had specific policies and actions in which to attach importance to the renewal of the management mechanism for universities in the direction that universities are more and more autonomous in their mission implementation, improve the quality of education. International experience shows that one of the solutions to improve the quality of public universities is to gradually increase autonomy for universities in the following areas: autonomy in program and education plan; autonomy in using finance and facilities; autonomy in recruitment, human resource management; autonomy in educational goals and quality. The paper presents the research on the model of autonomous public universities in Vietnam in the context of the implementation of the Education Law 2019.
A New Approach to the Zero Subject in English

Introduction. For “subject question” it is traditionally presumed, that the subject in it is the interrogative word or word combination. From logical point of view it is not correct, because the subject in such sentence is not yet found, and the interrogative word or word combination just “help” in searching for it. In English, it is marked by different syntactic means, for example, by the absence of the auxiliary verb. Also in subject question a formal particle “there” shows up; however, its functions are still unclear. That is why the objective of this work is to build a formal logical model of subject in interrogative English sentence, including the searched subjects, without or with the particle “there”. Methodology and sources. The research methodology is based on the binomiality idea, having been developed since 1993 at ETU “LETI” by means of the method of formal-logical modelling. The examples illustrating the functional features of the searched subject in English interrogative sentence were selected by means of the method of continuous sampling from 7 corpora. Results and discussion. The diversity of subject structures in English interrogative sentence is considered, taking into account possible functions of the formal particle “there”. The assumption is supported, that the implicit subject is a “trace” of the explicit subject and may not be considered as the absolute zero subject. It is the searched subject, which is an absolute zero subject, i.e. an inexplicit one and it is necessary to initiate specifying the notion of the zero subject with distinction of implicit and inexplicit subjects. Conclusion. Out of dependence on its environment, the searched subject in English is an absolute zero subject, i.e. an inexplicit one. Most often it is a strong or weak vacant semifinitive, fixed in the weak specifier, or, rarer, a weak vacant semifinitive, fixed in the strong specifier. In interrogative sentences of English, no subject can be explicit or implicit when it is searched for; the auxiliary verb in the absence of emphasis or negation does not disappear, but is transformed into a flexion. In the structure of negative interrogative sentences one can see their enhanced (and, actually, maximum) energetics.
Study of the Effectiveness of Making a Retention Pond for Urban Flood Management: A Case Study of the Barabai River, South Kalimantan

The upstream of the Barabai River is experiencing land conversion from forest to agricultural and mining areas. In 2021, f loods and river overflows will inundate nearly 75% of Barabasi City. The solution given is to build a Retention Pool so that the flow of the Barabai River before entering Barabai City is diverted to the Retention Pool. By conducting hydrological and hydraulic flow analysis with the application of HEC RAS with unsteady flow conditions, the water level profile along the Barabai River can be displayed including the flow behavior in the retention pond during flooding. As a result, the retention pond is only effective at accommodating 25% of the discharge during a flood. By optimizing using the HEC RAS program, alternatives to inundation or flooding in Barabai City are obtained, namely: widening the Barabai river 2x, expanding the regulation pool to 95 ha, building a second retention pond of 40 ha, and normalizing the Barabai River that enters Barabai City.
Automatic Hepatic Vessels Segmentation Using RORPO Vessel Enhancement Filter and 3D V-Net with Variant Dice Loss Function

The segmentation of hepatic vessels is crucial for liver surgical planning. It is also a challenging task because of its small diameter. Hepatic vessels are often captured in images of low contrast and resolution. Our research uses filter enhancement to improve their contrast, which helps with their detection and final segmentation. We have designed a specific fusion of the Ranking Orientation Responses of Path Operators (RORPO) enhancement filter with a raw image, and we have compared it with the fusion of different enhancement filters based on Hessian eigenvectors. Additionally, we have evaluated the 3D U-Net and 3D V-Net neural networks as segmentation architectures, and have selected 3D V-Net as a better segmentation architecture in combination with the vessel enhancement technique. Furthermore, to tackle the pixel imbalance between the liver (background) and vessels (foreground), we have examined several variants of the Dice Loss functions, and have selected the Weighted Dice Loss for its performance. We have used public 3D Image Reconstruction for Comparison of Algorithm Database (3D-IRCADb) dataset, in which we have manually improved upon the annotations of vessels, since the dataset has poor-quality annotations for certain patients. The experiments demonstrate that our method achieves a mean dice score of 76.2%, which outperforms other state-of-the-art techniques.
Gift Recommendations Based on Personality Using Fuzzy and Big Five Personality Test

Gifts are usually given to someone to strengthen a relationship or to motivate someone. However, givers often need help determining the appropriate gift for the potential recipient. On the other hand, many recipients are disappointed with the gifts received. This event can result in the relationship between the giver and recipient being disrupted or the motivational goal not being achieved. This research aims to develop a system to recommend gifts based on the recipient's personality. Gift recommendation is determined based on the recipient's personality because the recipient highly values gifts that match the recipient's personality. The system is built using the Fuzzy method, and the personality measurement tool used is the Big Five Personality Test. Fifteen pairs of respondents validated the system. The validation results show that 80% of respondents as gift-givers strongly agree that the system helps determine the appropriate gift for someone. In addition, 73.33% of respondents as gift recipients strongly agree that the gifts recommended by the system do not disappoint them.
The Impact of Digital Transformation on the Consumer Experience in Saudi Arabia 2021

The research aims to study the impact of digital transformation on the consumer experience and investigate the role of digital transformation in the enhancement of the consumer experience in the Saudi Arabia context. This paper has made an applied attempt in Saudi Arabia to study how digital transformation affects the consumer experience, and what is digital transformation's role in the enhancement of consumer experience. The research outcomes and results will be discussed at the end of this study. Discussion, implications, conclusion, limitations, and future studies are provided as well.
A Multi-Dimensional Analysis of English Writings by Chinese EFL Learners

The exponential growth in the population of Chinese EFL learners has fueled the study of Chinese EFL learner writing. A survey of relevant literature indicates that the majority of studies are confined to the exploration of individual linguistic features, with a few exceptions which employ a broader perspective that might involve multiple features. This work aims to investigate the English writings by Chinese EFL learners via Multi-Dimensional (MD) analysis, a corpus-based approach that combines both microscopic (i.e., individual linguistic features) and macroscopic perspectives (i.e., textual dimensions). A comparison between writings by Chinese EFL learners and native English speakers shows that the former are high on involvement, informativeness, and referential explicitness while the latter exhibit superiority on word-choosing, information integration, narrativity, and persuasiveness. Regarding their specific use of 67 MD linguistic features, the two writer groups also show certain significant but interesting differences. Analysis of Chinese EFL learner corpora from different English education levels indicates that writings by learners from higher levels are lower on involvement, but are higher on informativeness, narrativity, referential explicitness, and persuasiveness. This trend is manifested by their decreasing use of involvement features, but increasing use of features marking the latter four aspects.
Deep Learning-Based Recognition of Facial Expressions

Abstract: Convolutional neural networks were used in deep learning to maintain a system for recognizing face expressions of emotion. We were created as two distinct models. The first model was a suggested CNN architecture that was trained on the FER-2013 dataset. The model could classify expressions into 7 different categories with an accuracy rate of 67.18%. Using the FER-2013 dataset and a transfer learning strategy, the second model was produced. The model was able to categories the expressions into 4 groups with an accuracy of 75.55%. A mobile web application that quickly executes our FER models on a device is also provided by us. We introduce generic assessment standards, general face recognition databases, and face recognition research for real-world scenarios. We present a prospective analysis of facial recognition. Face recognition has emerged as the field's most promising area for future advancement.
The Problem of Gendered Emojis in Online Communication Platforms: A Study to Understand Digital Dependence on Using Emotions During Pandemic

Digitalization, affordable smart gadgets, and social distancing have turned virtual communication into a lived phenomenon. However, we should be aware of the fact that the virtual communication process is entangled with positive and negative consequences. On the one hand, it has enabled people to develop a feeling of togetherness and belonging, and on the other, it is steeped in conflict and dispute due to the extensive use of emojis that are context-sensitive and are subjected to multiple interpretations. The problem of emojis connected with sexual connotations has not been studied in an online conversation parameter. Hence, the current study examines the sexual connotations that are embedded in the usage of non-facial emojis such as eggplant, cherry, etc., in virtual communication and analyses sexual connotations that are generated in closed group interactions. The methodology undertaken in this study is a quantitative experimental research method to collect data. Participants (N=64) will determine how certain context-sensitive emojis are perceived by them in closed group online conversations. Results suggest that non-facial emojis possess sexual connotations which are highly context-specific and used extensively in interpersonal conversations. In this way, this paper will prepare the ground to study more hidden sexual connotations in emojis.
Using Readable English Leads to Reading Gains For Rural Elementary Students: An Experimental Study

Reading proficiency is requisite in our read-to-learn educational system, yet two-thirds of American students are not proficient readers. Assuring educational equity means supporting all learners with multiple component reading interventions that individually scaffold students while remediating weak literacy skills and providing intensive and sustainable intervention early. This study (N = 855) measured the efficacy of two different multiple component reading programs for students in grades three, four, and five. Grade levels of students were assigned to either the treatment intervention or the typical practice condition; and all students were pre-and post-tested using EasyCBM Reading Benchmarks. Students scoring at/below the 30th percentile on either benchmark were also assessed with the WRMT-3 Passage Reading Comprehension and Oral Reading Fluency measures. Students in the treatment condition received Readable English and students in typical practice condition continued to receive Amplify CKLA during their regular ELA times for 45&amp;mdash;60 hours. Students receiving Readable English significantly outperformed students in the typical practice condition on measures of oral reading fluency, reading rate, accuracy, and passage comprehension. Raw scores, growth scale values, and grade equivalents are reported, and implications for practice are discussed. In a school year fraught with pandemic instructional interruptions and learning loss, elementary students in the intervention condition averaged a year&amp;rsquo;s worth of growth in reading fluency and nine months of growth in reading comprehension compared to three- and five-months fluency and comprehension growth in the typical practice condition. Students in the Readable English condition experienced meaningful gains in reading rate and accuracy that will give exponential word reading volume dividends to students able to read text faster and more accurately going forward. This study adds to accumulating evidence that multiple component reading programs designed to reinforce fluency skills also support reading comprehension gains for all students.
Exact Solution and Projection Filters for Open Quantum Systems Subject to Imperfect Measurements

In this letter, we consider an open quantum system undergoing imperfect and indirect measurement. For quantum non-demolition (QND) measurement, we show that the system evolves on an appropriately chosen manifold and we express the exact solution of the quantum filter equation in terms of the solution of a lower dimensional stochastic differential equation. In order to further reduce the dimension of the system under study, we consider the projection on the lower dimensional manifold originally introduced in Gao et al. (2019) for the case of perfect measurements. An error analysis is performed to evaluate the precision of this approximate quantum filter, focusing on the case of QND measurement. Simulations suggest the efficiency of the proposed quantum projection filter, even in presence of a stabilizing feedback control which depends on the projection filter.
Implementing Playing Cards BlackJack Game using OpenCV

Computer vision is a rapidly developing field that focuses on highly sophisticated picture analysis, manipulation, and comprehension. Its objective is to analyze what is happening in front of a camera and utilize that understanding to control a computer or robotic system or to present users with fresh visuals that are more enlightening or appealing than the original camera images. Computer vision technologies make it feasible for new user interfaces, augmented reality gaming, biometrics, automobile, photography, movie creation, Web search, and many more applications. This essay seeks to explain how computer vision can be utilized to play blackjack successfully.