Reviewerly/exHarmony huggingface dataset:
1 Selecting and assessing the importance of malware analysis methods for web-based biomedical services through fuzzy-based decision-making procedure

Malware is continuously penetrating the current digital world. Even more alarming are the statistics that reveal that the biomedical industry is presently the most susceptible target of the attackers. The main reasons behind this disquieting situation of attacks on the biomedical industry are its sensitivity level and impact of harm. Moreover, the high cost of medical records is also a major reason for the upsurge in penetration and exploitation. This scenario calls for an effective prevention mechanism to ward off malware attacks on the biomedical or healthcare industry. This research initiative provides an overview of recent statistics of malware attacks in web-based biomedical applications and services. The study also provides a helpful mechanism called malware analysis for preventing malware issues. Further, the study analyzes the malware analysis approach for better and easy understanding and, more importantly, its adoption in biomedical industry. It also provides a ranking assessment/priority assessment of different malware analysis techniques for identifying the most prioritized approach through fuzzy analytic hierarchy process methodology. The study uses a scientifically proven approach for prioritization of analysis techniques and provides a novel idea and path for future researchers.
Clothing Genre Recognition System Using Image Processing Techniques- A Survey

Nowadays, Clothing business is one of the most important components in thee-commerce industry. So, there is plenty of online clothing sites are available where people can search and retrieve the most clothing items for their user query image. Clothing genre recognition is a very active topic in comp
The bias of the initial information flows intensities estimates of the global cyber-physical network

The use of the existing official statistical reporting for forecasting the development of the network, which provides deterministic estimates of input parameters, creates the danger of distorting the corresponding estimates of the initial information flows intensities generated by subscribers. The mapping (function of extreme balancing in the proposed estimation method) of the set of the input parameters values to the set of the estimates values is such that there is a bias in the estimates of the initial information flows intensities obtained by using the GDP indicator. In order to improve the accuracy of the Internet of Things development forecast in the context of the initial information flows dynamics, to taking into account the bias of estimates it is appropriate to move from the simple deterministic models of mathematical programming based on GDP and corresponding estimation methods to models and methods of stochastic programming.
Research on Systematic Functions and Designs of Digital Archives for Ancient Poetry Instructed in Senior High School

Under adding fuel to the flames in the Internet network technology is ripe day by day, the digital archives have become the important save way of culture assets gradually, and offer the abundant resource for teaching at the same time. Taking Chinese poem as an example, a lot of digital archives websites collect the poem and make to appear pluralism, including characters, reciting, database, etc. Do these digital archives systems meet the teaching demand of Chinese in high school? So this text will proceed from teaching and probe the systematic function of digital archives which accord with the Chinese teaching demand in high school.
Fear the Corona Pandemic? Avoid with Social Distance Using Online Art Learning Development

The Indonesian government announced the danger of the corona virus pandemic as a national disaster.Local governments adopted a policy to stop school activities.However, learning management strategies are needed in the process of building, refining student answers and evaluating answers using online-based services to avoid the corona virus pandemic.This research is a qualitative research with ethnographic design, using interview, observation and documentation approach.Utilizing the development model of online art learning models can avoid corona pandemics and maintain the quality of education can be applied.The development of online art learning is able to provide the desired report data online.The suggestion is online learning can be applied to other school units so that it is expected to avoid the corona pandemic and maintain the quality of education.For development, it can be implemented using a mobilebased application.
Diverting Etudes in the Flute Class

One of the most crucial tasks for educating the beginner musician is the development of his artistic imagination. A decisive role in this process is played by the formation of the musicians’ attitudes towards the skills of interaction of their relationship with the composer’s music: the creation of the performer’s text, i.e., its interpretation (the problematic situation “If I were the editor…”), or its transcription or arrangement (“I wish to become a composer”). The solution of the indicated aims (which, essentially, relate to the musicians’ inventiveness) and the participation in the problem situations becomes manageable even for especially gifted students only upon the condition of a correctly elaborated technology of interaction with the musical text. Such experience is well-known in Russia and in other countries, specimens of assignments and tutorial manuals directed at the possibility of application of innovational technologies in work with beginner pianists have been developed. In this article the author offers to instructors of fl ute performance her technology of work on unfolding the primary authorial musical text on the basis of horizontal and vertical dialogue expounded in E.G. Shcherbakova’s textbook “Neskuchnye etyudy” [“Diverting Etudes”] in her piano class.
Determining Discrete Amounts of Diversification

Determining Discrete Amounts of Diversification Charles J. Higgins, PhD Abstract While many demonstrations exist toward the merits of diversification, be they graphical or mathematical, a discrete finite set of measurements would be useful and also of interest. Full Text: PDF DOI: 10.15640/jfbm.v8n2a3
Sistem Pendukung Keputusan Penentuan Berita Hoax Dengan Menggunakan Logika Fuzzy

Social media is one of the diversity of information offered and flexibility in forming friendship connections. Everyone has freedom of opinion on a worldwide basis. The number of people who are not responsible for sharing hoax news with the intention of provoking their opponents. This study supports the decision to determine hoax news and determines hoax news by applying the Fuzzy Logic of the mamdani method using the programming language used in making applications, namely Web, Database and MySql. The criteria supporting the decision to determine hoax news are Spread, Media Literacy, Significance and Certainty. So it can be concluded that the hoax news level is at 11,824 or is categorized as MEDIUM
MORALITY AND MORAL VALUES AS A PERSONALIZATION OF MODERN SOCIETY

Moral values are the basis for the functioning of every society. The criteria of good and bad, as essential elements of moral consciousness, are built through the life and experience of many generations as shared values for the whole society. In states that qualify as free, democratic, and legal, which do not recognize state religion and have a plurality of religious and ideological values, particular emphasis is placed on the need for a rationally based morality. To perceive people's beliefs about good and bad in society represents a challenge. This challenge is especially intriguing for a society like ours, which has undergone serious changes in the political, economic, and cultural segments. The subjective feeling that something is happening with the moral value system in our country has been around for a long time. Unfortunately, subjective feeling is that moral values barely exist. Practically, the main purpose of this paper is precisely to examine the moral values of individuals by applying appropriate methodological procedures and to understand the moral attitudes of a group of persons. Also, in this paper the questions of what morality is and what the moral values of a society depend on will be elaborated. To achieve the purpose of this research, the historical and sociological methods will be applied, as well as the survey and the method of content analysis. Keywords: morality, moral attitudes, moral values.
Positional Marked Patterns in Permutations

We define and study positional marked patterns, permutations $\tau$ where one of elements in $\tau$ is underlined. Given a permutation $\sigma$, we say that $\sigma$ has a $\tau$-match at position $i$ if $\tau$ occurs in $\sigma$ in such a way that $\sigma_i$ plays the role of the underlined element in the occurrence. We let $pmp_\tau(\sigma)$ denote the number of positions $i$ which $\sigma$ has a $\tau$-match. This defines a new class of statistics on permutations, where we study such statistics and prove a number of results. In particular, we prove that two positional marked patterns $1\underline{2}3$ and $1\underline{3}2$ give rise to two statistics that have the same distribution. The equidistibution phenomenon also occurs in other several collections of patterns like $\left \{1\underline{2}3 , 1\underline{3}2 \right \}$, and $\left \{ 1\underline234, 1\underline243, \underline2134, \underline2 1 4 3 \right \}$, as well as two positional marked patterns of any length $n$: $\left \{ 1\underline 2\tau , \underline 21\tau \right \}$.
Perancangan Media Video Company Profile “LPK Logika Internasional”

To improve service quality, a company must be able to design an informative and persuasive promotional media. LPK Logika Internasional is a company engaged in Japanese language training and courses in the city of Mataram. The problem with this company is a significant decrease in the number of students from year to year. Also, the geographic location that is less strategic makes the company's popularity low so that it affects its existence. This study discusses designing a video company profile at LPK Logika Internasional as useful media information and company promotion. The research method used is the design method (Visual Communication Design), which starts from object/problem analysis, synthesis or data processing, and implementation. The results of this research are in the form of an informative and persuasive, informative and persuasive work of Video Company Profile of the LPK Logika International company. This work expected to be a solution to introduce and promote the company's profile to the fullest.
Exploiting SLAs through Application of Economic Analysis on Datacenters’ Autonomic Management

Optimizing resource distribution in datacenters can achieve several economic benefits, including increasing energy efficiency, better workload performance, and higher levels of job acceptance. Although some studies propose strategies that increase resource utilization whilst meeting a certain QoS, there is a perspective yet to be exploited: the Service Level Agreements (SLA) amortization. We believe that keeping service levels far above the minimum agreed is a missed opportunity to apply more aggressive strategies to reduce allocated resource fragmentation and increase even further the benefits mentioned above. In this work, we propose a novel server rebalancing strategy based on economic systems, able to capitalize from the SLAs by keeping the harmony between the aggressive competition of Free Markets and the safe control of Regulated Markets. The proposed strategy is evaluated with a modified version of CloudSim Plus simulator. The outcomes show that the SLA exploitation strategy led to an economy of 8.6% up to 23% for different mechanism configuration.
Code-Mixing In English Learning of SD Teladan Yogyakarta

Based on the KTSP Curriculum, English is a compulsory subject which must be learned by students of elementary schools, one of them is in SD Teladan Yogyakarta. To improve students’ understanding about English materials, the English teacher uses code-mixing in English learning. This research aimed at analyzing types of processes of code-mixing and describing the reasons of code-mixing in English learning of SD Teladan Yogyakarta. The type of this research was descriptive case study. The subjects of the study were an English teacher, 25 students of class 1A, 25 students of class 1B, and 25 students of class 1C. To examine types of processes of code-mixing, the researchers recorded the English learning in the classroom. The researchers also collected the data by using an interview to an English teacher to investigate the reasons of using code-mixing. After that, all data are transcribed and analyzed based on Muysken’s theory (2000) and Hoffmann’s theory (1991). The result of the analysis shows that types of processes of code-mixing in English learning of SD Teladan Yogyakarta are insertion (70.09%), alternation (3.42%), and congruent lexicalization (26.49%). From the result of the interview, the reasons for code-mixing are for talking about a particular topic, for quoting somebody else, for being empathic about something, for interjections, for repetition used for clarification, for clarifying speech content for interlocutors, and for expressing group identity.
THEaiTRobot 1.0

The THEaiTRobot 1.0 tool allows the user to interactively generate scripts for individual theatre play scenes.The tool is based on GPT-2 XL generative language model, using the model without any fine-tuning, as we found that with a prompt formatted as a part of a theatre play script, the model usually generates continuation that retains the format.We encountered numerous problems when generating the script in this way. We managed to tackle some of the problems with various adjustments, but some of them remain to be solved in a future version.THEaiTRobot 1.0 was used to generate the first THEaiTRE play, AI: Když robot pise hru (AI: When a robot writes a play).
Combination of Problem Based-Learning and Cooperative Learning: Efforts to Boost Students’ Competence and Motivation in Learning at IGL Class English Department Universitas Andalas

Learning Introduction to General Linguistics for English Department students is challenging because it is offered for those who are in the second semester.The topics cover the basic concepts related to Linguistics.Many students get failed in this course.This article is aimed at describing the combination of two of the method in students centered learning, problem-based and cooperative learning, to boost the motivation and competence of students in learning Introduction to General Linguistics for English.The research is conducted in the class provided for those who retake the course for 2nd or 3rd time.The results show that this combination worked reasonably well.Almost all of the students got satisfaction with the process.Even they claimed that their understanding is much better.
Studi Deskriptif Pengaruh Metode Bercerita Bilingual Terhadap Minat Belajar Anak Usia Dini

Children learning process in kindergarten is very influential in early childhood development. Therefore, a teacher expected to be able to make variation of learning media and interesting learning method, so the objective of the learning is achieved well. The background of this study is lack of interesting methods used by teacher to improve children's focus in learning and children's interest in foreign languages. So, the researcher is interested to do a research about bilingual storytelling methods. According to experts the storytelling method is one of the most interesting method in learning. The type of research is the literature study with data collection techniques by reviewing books, journals, magazines and articles related to research topics. The result of the research, the bilingual storytelling method is an interesting method for children so it could increase children's learning interest. Therefore the aim of the learning could be achieved as expected.
Innovative digital technology design and game healing-Serious Game's innovative design for children with special needs

Digital technology promotes the innovation and development of design. With the development of science and technology, design has changed the traditional design mode. We must stimulate the innovative potential of design and let digital technology play a greater driving force.The current era of "internet of all things" is also a new challenge to the development of human civilization. Game design as an important part of modern design, its design innovation is worth thinking about: How to use the rapidly changing Science and Technology; how to organically connect the real world with the virtual world; how to skillfully integrate human care into the game design; how to use the game to pay attention to special groups; how to make the function of the game get multi-dimensional presentation and other aspects are worth discussing.
Pengenalan Jenis Kelamin Manusia Berbasis Suara Menggunakan MFCC dan GMM

Biometric information that exists in humans is unique from one human to another. One of the biometric data that is easily obtained is the human voice. The human voice is identic data that can differentiate between individuals. When we hear human voices directly, it is easy for our ears to tell the person who is speaking is male or female. But sometimes male voices can resemble girls and vice versa. Therefore, we propose a human voice detection system through Artificial Intelligence (AI) in machine learning. In this study, we used the Mel Frequency Cepstrum Coefficients (MFCC) method to extract human voice features and Gaussian Mixture Models (GMM) for the classification of female or male voice data. The experiment results showed that the system built was able to detect human gender through biometric voice data with an accuracy of 81.18%.
Nutrition Knowledge and Healthy Food Choices After Participating in Online Nutrition Education in Overweight Adolescents

The prevalence of overweight in adolescents can occur due to unhealthy food choice behavior.Nutrition knowledge in adolescents is an important factor for shaping behavior in healthy food choices.Increased nutrition knowledge can be achieved by conducting nutrition education.This study aimed to analyze the effectiveness of nutrition education through whatsapp, lecture and online game on nutritional knowledge, healthy food choices before and after treatment.This study was a quasy experiment research with two group pretest-posttest design.Sampling in the study used purposive sampling technique and obtained 32 subjects in each treatment, so that the total subject was 64 students aged 15-17 yearsold.Nutrition knowledge and healthy food choice data were obtained from structured questionnaires that had been tested for validity and reliability.T test used in this study was the Mann Whitney U test.The results indicated that the number of adolescents with good knowledge after participating in nutrition education increased to 56.3% (whatsapp group) and 65.6% (lecture and online game group).While the number of adolescents with healthy food choice also increased to 62.5% (whatsapp group) and 65.6% (lecture and online game group) after participating in nutrition education.The results of Mann Whitney U test on knowledge indicated p-value = 0.015 and healthy food choice obtained p-value = 0.003.There was a difference between nutrition knowledge and healthy food choice among overweight adolescents participating in nutrition education through WhatsApp and lecture and online game.
Donald Trump’s Incendiary Rhetoric and Hate Speech in Tulsa, Oklahoma Rally on June 20, 2020 Put the United States on the Verge of Racial and Cultural Division

Anti-racial vilification legislations exist on a wide range and are supported by civil organizations as well as the two major political parties in the United States. As Public concerns about expressions of racial hatred exacerbated lately, racial derogatory comments and racial violence were evident in several areas in the U.S and became part of daily rhetoric. It seems that these legislations consolidated counterproductive effects and gave rise to racial differences rather than encrypting them. Furthermore, hate discourse was encumbered by the residue of long history of slavery and racial segregation. The American president who is supposed to be the role model for the common American man and woman failed to take the lead and proved to lack commands of leadership as well as initiatives of healing the nation in the midst of the present state of unrest and confusion. He has been abusive and having no commands of domestic policy. His discourse failed to live up to the expectations of the American people in suppressing racial and discriminatory remarks. On the contrary, he brags of being racist and bluntly uses hate expressions. In addition, he tries to systematize and institutionalize racism and discrimination. By using racist hate speech utterances as well as hate-speech acts, the president appears as a person with modest linguistic commands as his poor knowledge of illocutionary and perlocutionary effects of his utterances is prevalent. The analysis of Donald Trump’s hate-speech-acts can be identified as raising validity claims which enact discrimination and support inequality in society.
An Effective Optimization Technique of Extracted Watermark Image Using Particle Swarm Optimisation

Nowadays the presence of noises in the extracted image is a major constrain in the Image Processing environment. An ultimate goal of this paper is to optimize the watermark image using particle swarm optimization. Earlier, the research focused on the video watermarking process where the watermark image is embedded into the video as invisible and can be sent to the receiver side for an extraction. While at the extraction stage, the image what embedded was not been retrieved at the receiver side due to the presence of various noises and occurance of errors in the medium. Hence while comparing the extracted image with the original image, the accuracy was poor and non reconstructable. So this paper serves solution for the above said problem using Particle Swarm Optimization Technique. As the end, the extracted image can be reconstructed to the maximum extent as equal to the input image. This scheme can be widely used in the Medical Imaging application, Defence, etc.