Reviewerly/exHarmony huggingface dataset:
Application Of Website-Based Men’s Fashion Purchase Application (Blibli Shionpri)

The use of smartphone from year to year is getting more dan more enthusiasts and will continue to increase everyyear, this is due to the increasingly rapid development of the times. The existence of social media features that are easy to accessand offered with their respective benefits and goals will centainly make it easier for users to communicate and find out updatedinformation, one of which is in conducting online buying and selling transactions. Fashion is one of the things that is widelyfollowed by its development, buying fashion online aims to make buying and selling transactions easily and comfortably withoutany geographical constraints, saving energy, shortening time and being cheap, easy to find the desired item, and establishinggood cooperative relationships. Both between the seller and the buyer. However, there are several problems that are oftenexperienced by users of online buying and selling transaction services. This has a solution with a strong information and securitysystem in order to provide more satisfaction for users of online buying and selling services.
International Scientific and Practical Conference “Personal Book Collections and Archives in Libraries (on the 80&lt;sup&gt;th&lt;/sup&gt; Anniversary of B. S. Elepov”)

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The Impact of Movement Control Order (MCO) on the Management Practices of the Subject Committee at National Schools in Alor Gajah District

Educational sector has directly impact due to the implementation of movement control order (MCO) where teaching and learning undergoes changes.In line with that, this present study conducted to identify the impact of MCO towards the teachers.The study conducted involving 309 National Schools teachers in Alor Gajah District.In order to collect the data, questionnaire used as the instruments to get the response from the respondents regarding the study conducted.Based on the study conducted, the finding showed that the implementation of MCO gives impact towards learning approach which is online learning and literacy level towards technological device.As reported, online learning does not achieve satisfying level in terms of students' understanding and acceptance among the students.In terms of literacy level towards technological device, it can be seen that the mastering level among the teachers still limited.Due to the implementation of online learning, there are many changes take place.Inferential analysis showed that there is a significant difference between the implementation of online learning and management practice of the subject committee.Not only that, the finding reported that there is a significant difference between the literacy level towards technological device and management practices of the subject committee.In line with that, with the presence of this study, it could give benefits towards various parties to improve the implementation of online learning during MCO.
The Most Common Types of Lapsus Calamis in Graphostylistics of Modern Computer-Mediated Communication (Study based on examples on the social network "Facebook")

The report examines the most common orthographic and punctuation lapsus calamis in graphostylistics of modern computer-mediated communication. The examples are from the social network "Facebook" and the emphasis is on the incorrect use of the glide "й" in the inflection of nouns in the plural tantum and the incorrect use of commas at the end of subordinate clause.
On the role of digitalization and globalization for the development of mobile video games in the education of the future: trends, models, cases

The global world processes of digitalization have influenced the development of educational services and products market. To provide qualified education modern educational institutions need to use effective tools for organizing, managing, and facilitating the educational process with the help of mobile video games. The article aims to analyze the modern processes of education digitalization and the role and prospects of mobile video games in the education. The implementation of mobile applications in the educational process can provide a competitive advantage for higher education, as well as enhance the quality of individual student learning, and be useful for teachers and educators who intend to improve the methodology of the educational process. The results of the study show the growing of the market for mobile video games in education, the increase of investment and the formation of market leaders over the past 5 years. Based on the research methodology, the specifics of mobile video games use in today's global space were conducted, and the involvement of information giants such as Google, Amazon, and other companies actively involved in the digitalization of education was investigated. It is determined that modern models of the educational process should be integrated with digital ones, actually forming a mixed model, between traditional and digital, which can improve the professional students’ qualification. The conclusions and suggestions indicate that the key areas of mobile video games in education will be the creation of applications for mastering technical specialties, the demand for which is rapidly growing in the world. The practical part of the article consists in the analysis of the mobile video games development prospects and the characteristics of their key advantages and main trends in the educational market.
Gender Differences in Online Identity: A Linguistic Contrastive Study of Arabic and English Screen Names in the Saudi Context

The considerations behind choosing pseudonyms over the real name may be varied depending upon extraneous or intrinsic circumstances including the need to circumvent social norms, taboos, and practices. However, one that transcends these bounds is the affordance of freedom to act natural that comes with adopting a pseudonym which masks one’s true identity. The vast choice of media for social expression in the age of technology has added a new dimension to the practice of adopting pseudonyms. Accordingly, this study investigates whether patterns of screen name choice and typology are discernible among Saudi male and female students. The study created a database of two hundred screen names selected from the forums of foundation year at two Saudi universities (male =100 and female =100). The screen names gained are classified and examined based on the attraction theories’ framework. As far as findings are concerned, the choice and typology of screen names according to the type of gender are significant. The screen names are varied whether the gender is male or female. Findings also show that the "real names" category is applied by female students in screen names more than male students whereas "unreal names" category is applied more by male students than the females. For fictional names, both male and female students prefer to use romantic names and neglected names which show wealth or looks. Three new categories in pseudonyms are found and established in the study i.e., popular, romantic, and real names due to the Saudi contextual variation. A significant effect of choosing the screen names on the names of their devices is also found in the study.
Development of Learning Media "Dice" And "Poetry Box" on Poetry Writing Materials for Tenth Grade Students of Senior High School

This study aims to develop a dice and box-based learning media with an internet-based learning model that uses various web pages on the internet, the web pages used include canva, google form and id.pillapp.com. This media is used as Indonesian language learning in the basic competence of poetry text at the high school level. The development of this learning media uses the Research and Development (RD) method. in the Research and Development (RD) method there are three main stages that must be carried out. The three main stages are initial information data collection, product development, and product validation trials. This research was conducted by conducting interviews with Indonesian language teachers at MAN 2 Madiun through the media zoom meeting to find out what media was used before and what obstacles were faced by educators at the school. Students are faced with difficulties in being able to determine the theme and choose the right diction so that the poetry has a beautiful rhythm, so learning dice and poetry boxes can be used as a solution for teachers to be able to motivate students to explore ideas and maximum poetry results. Learning poetry dice and boxes can also improve the means used by teachers in conveying poetry text learning material effectively, efficiently, and interestingly.
The Normalization of Fraud in Nigeria: An Excerpt From "In a Time of Fraud: The Untold Story of the Nigerian Fraudster"

The proliferation and widespread use of the internet in Nigeria has resulted in the emergence and spread of a wide range of computer- and internet-enabled device-related crimes. Identity theft, fraudulent electronic mail transmission, hacking, spamming, and machine spoofing are just a few examples of internet-facilitated crimes. This paper is an excerpt from the same author's unpublished book, "In a Time of Fraud: The Untold Story of the Nigerian Fraudster." Through participatory observations, surveys, and interviews, it aimed to expose the methods of internet fraudsters in Nigeria, also known as Gboys/Yahoo-boys, who operate in organized crime groups (OCGs), also known as Hustle Kingdoms (HKs). This paper attempts to demonstrate how widespread and interconnected the fraud networks and acts are in Nigeria and throughout Africa, as well as the complicity of the Nigerian police and the belief systems that fuel them.
An innovative blockchain-based supply chain model in the context of food security

The problem of food security has rapidly escalated due to numerous food adulterations and rising prices of socially important foods, as well as the general growth of the supply chain network in recent years, thereby increasing levels of food waste. Since the recent evolution of the technology, blockchain promises a high potential ability to guarantee and track the originality of products, also effectively managing the supply chain. Moreover, blockchain has been recognized as one of the eight major technologies that can change our lives if used in the right direction for the benefit of society and countries' economies. In Kazakhstan, there is a lack of infrastructure to support food supply, as well as a number of issues regarding increased control over prices by the government. The purpose of this study is to identify the benefits of blockchain, which facilitates the effective management of the food supply chain, the ability to meet the needs of all stakeholders, and a comparison with the traditional supply chain system. The article uses factor analysis, taking into account economic, political, social, technological interests, through which the existing problems at the moment are uncovered. The results show that the application of blockchain in the food supply chain leads to positive demand from the government, producers and end consumers. The value of the work lies in the theoretical study, which drew on the experience of recent research around the world, adaptation in Kazakhstan and the possibility of application in the context of food security. This work contains many touched upon economic aspects and can serve as a basis for further research.
What Challenges Do College Students Face Under the New Normal Education System?

COVID-19 pandemic has forced every institution to adapt new normal system especially education system has completely shifted to online platforms that made difficulties in Students and Teachers from schools to college education mainly network issues , lack of technical skill, unavailability of smart phones and health issues. Online learning is considered as new normal. The old system of education has changed drastically. Every educational institution forced to follow blended learning. E learning came as a savior to students and completed their academic year but could not compensate with the traditional learning experience. In case of college education mainly graduation and post-graduation they suffer lots of challenges while adapting new normal in education sudden changes adversely affected their learning. Teachers also faced so many difficulties like sitting In front of a electronic device and delivering knowledge is not an easy task. This article is all about the challenges faced by college students and teachers while adapting new normal education system and students' perception towards new normal learning system.
MORE RESULTS ON MULTIRING

In this paper we extended the study of S. Debnath and A. Debnath(Debnath and Debnath, (2019)) on the study of ring structure from multiset context. We study more of the operations of multiset on the ring theory, where we discover that the raising to an arithmetic power of a multiring is again a multiring. So also is the composition of multirings. We also critically analyze the rootsets of multirings and introduces the concept multiring with unity, multiring and zero divisor among other results.
Genomic Biomarkers of Metastasis in Breast Cancer Patients: A Machine Learning Approach

One of the cancers with the highest incidence in the world is breast cancer (BC). The aim of this study is to identify candidate biomarker genes to predict the risk of distant metastases in patients with BC and to compare the performance of machine learning (ML) based models. In the study; Genomic dataset containing 24,481 gene expression levels of 97 patients with BC was analyzed. Biomarker candidate genes were determined by ML approaches and models were created with XGBoost, naive bayes (NB) and multilayer perceptron (MLP) algorithms. The accuracy values of XGBoost, NB and MLP algorithms were obtained as 0.990, 0.907 and 0.979, respectively. Our results showed that XGBoost has higher performance. The top five genes associated with BC metastasis were AL080059, Ubiquilin 1, CA9, PEX12, and CCN4. In conclusion, when the ML method and genomic technology are used together, the distant metastasis risk of patients with BC can be successfully predicted. The developed XGBoost model can distinguish patients with distant metastases. Identified biomarker candidate genes may contribute to diagnostic, therapeutic and drug development research in patients with metastases.
The Role of the Inafist Dactyloscopy in the Murder Investigation Process (Case study at Polda Central Java)

One of the fingerprints as evidence in the process of handling a crime, especially in handling the crime of murder, the Police are authorized or entitled to take several actions that have been regulated or determined by the Law on the Indonesian National Police No. 2 of 2002 in article 15 paragraph (1), (dachtyloscopy) in the investigation process is as technical assistance in carrying out investigations and is very important to assist investigators in uncovering or resolving a criminal act that occurred. the obstacles that occur are both external and internal barriers with various solutions in murder cases because the success or failure of obtaining fingerprints is influenced by the surrounding circumstances.
SISTEM PENDUKUNG KEPUTUSAN PENENTUAN KARYAWAN TERBAIK MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING PADA BENGKEL SEROJA MOTOR

Bengkel Seroja Motor is a workshop as well as a shop located in Kotaraja Village, Sikur District, East Lombok Regency. Currently, the increasing number of employees who come from different educational backgrounds makes the diversity of employees also increasingly complex, making it difficult to choose the best employees. Therefore, it is necessary to develop a Decision Support System as an alternative solution, so as to increase efficiency and ef- fectiveness in the selection and improve quality in determining the best employees. The decision support system for determining the best employees uses the SAW (simple additive weighting) method based on predetermined criteria and weights. The criteria used as indicators are absenteeism, discipline, work attitude, responsibility, and per- formance. The SAW (simple additive weighting) method was chosen because it is able to select the best alternative from a number of alternatives. This research was conducted by looking for the weights on each attribute, then ranking to determine the best employees.&#x0D; In this study using the Waterfall methodology, which is a software development method that begins with ana- lyzing company needs, designing, building applications, to conducting trials. The results of this study are in the form of a decision support application, which can recommend the best employees at the Seroja Motor Workshop.
SHARING KEYS USING CIRCULANT MATRICES AND LOGISTIC MAPS THROUGH QUANTUM CHANNAL

To ensure confidentiality and avoid humain attacks against our data, we exchange encryption and decryption keys. In our proposal scheme, we use the commutative properties of the product of circular matrices to create a common encryption key by applying the protocol of { \it Diffie-Hellman} exchange through a classic channel. To raise the security level of our system we have introduced the sensibility of chaotic logistic maps in another exchange protocol which is the $BB84$ throuth a quantum channal.
Implementation of The K-Means Clustering for Teacher Performance Assessment Grouping (PKG) at MI Bani Hasyim Cerme

Evaluation of teacher performance at MI Bani Hasyim Cerme still uses the manual method. Using office applications such as excel and word results in a significant accumulation of data that makes it difficult for school principals to calculate scores and evaluate the results of clustering or teacher performance scores, so it is wasteful of energy, time, and cost. The k-Means clustering method is expected to facilitate the clustering process of teacher performance values ​​as a source of information and make it easy for school principals to classify teacher performance results. This research aims to obtain clustering values ​​on teacher performance assessment data and to replace the teacher performance assessment system at MI Bani Hasyim, which was previously carried out conventionally into a web-based system. The results of this study are the clustering values ​​of teacher performance assessment and a web-based teacher performance appraisal system. It is expected to facilitate the process of evaluating teacher performance in the Bani Hasyim primary school in the future.
Classification of Batu Bara Songket Using Gray-Level Co-Occurrence Matrix and Support Vector Machine

Songket is a traditional woven cloth from the Malay and Minangkabau tribes. Songket can also be classified from the brocade woven family and woven with gold or silver thread. Songket cloth's beauty is the Indonesian people's wealth and preservation. Batu Bara Regency is one of Indonesia's regions with several Songket motifs characteristics. Public knowledge of Batu Bara Songket motifs is still minimal, and the differences between one motif and another are still unknown. This research provides information about the variety of Songket fabrics by classifying six types of Batu Bara Songket motifs, namely the Bunga Tanjung motif, Pucuk Betikam motif, Pucuk Cempaka motif, Pucuk pandan motif, Tampuk Manggis motif and Tolab Berantai motif based on the extraction of the Gray Level texture feature. The Co-Occurrence Matrix includes four parameters: Contrast, Correlation, Energy, and Homogeneity, as well as a classification method with a Support Vector Machine. The feature extraction values ​​ process as input for classification using a Support Vector Machine. The highest accuracy achieved in this study was 57%, using 60 training data and 30 test data.
Software Implementation Solutions of A Lightweight Block Cipher to Secure Restricted IoT Environment: A Review

With the development of the Internet of Things (IoT) technology, IoT devices are integrated into many of our daily lives, including industrial, security, medical, and personal applications.Many violations of IoT safety have appeared due to the critical physical infrastructure, and network vulnerabilities.Considering the nature of the restricted and limited resources of these devices in terms of size, capacity, and energy, Security is becoming increasingly important.Lightweight cryptography is one of the directions that offer security solutions in resourceconstrained environments such as Radio-frequency identification (RFID) and wireless sensor network (WSN).This paper discusses the security issues of these resource-constrained IoT devices and reviews the most prominent Lightweight Bock Cipher suitable for software implementation.Through studying the specifications and the inner structure for each cipher and their implementation of the performance evaluation on some kind of platform, we provide a design strategies guideline for cryptographic developers to design improved Lightweight Block cipher solutions and compact software implementation for resource-constrained environments.
A Comprehensive Study of Traditional and Deep-learning Schemes for Privacy and Data Security in the Cloud

After the availability of Internet infrastructure all over the world, and connectivity is no longer an obstacle over the Internet, cloud computing has emerged as a practical and ideal solution. A huge revolution has taken place in the field of cloud computing, where it is now an industry. However, it faces great difficulties in ensuring data confidentiality and privacy. People hesitate to use it due to the risk of innumerable attacks and security breaches. This article has covered a several directions relayed to cloud computing ideas. This research would focus on traditional and deep-learning based schemes to secure user’s data in the cloud. This study concluded some points about the capabilities of the traditional and deep learning-based scheme. The comparison showed that both of them increased the levels of security and privacy of the cloud. The study conclude that the Deep learning-based method had been implanted to secure clouds’ data in combination with other technique performed better than others.