Reviewerly/exHarmony huggingface dataset:
Classification of Cancer Types by Cluster Analysis Methods

Abstract&#x0D; Cluster analysis can be defined as the group of methods that aim to classify multivariate observations by using similarity/dissimilarity measures between observations. The clusters obtained as a result of the analysis are required to be homogeneous within themselves and heterogeneous among themselves. This study aims to cluster cancer types in datasets created by considering age group characteristics according to gender. In the study, clustering analysis was applied to four different datasets created from the data registered between 1982 and 2016 for 57 cancer types in men and women according to age groups at the Australian Institute of Health and Welfare, and the analysis results were evaluated and interpreted. In addition, in determining the clustering method and the number of clusters, Cophenetic correlation coefficients and 26 cluster validity indices were used, respectively. The distribution of cancer types in age groups determined by gender was observed in 4 different datasets created with 3 different age group characteristics that led to the best separation of cancer groups, and the clustering tendencies of cancers in the relevant age groups were investigated. R-3.5.1 package program was used for analyses. In this study, the analysis results of the k-means method and the average linkage method, which was decided to be the most successful method due to the high cophenetic correlation coefficient value, were evaluated and interpreted. The number of clusters was determined as 3 with the help of cluster validity indices. When the results obtained are examined, it is seen that breast cancer in women and prostate cancer in men is the most common type of cancer in the age group of 40 and above, and that these cancers are alone in a cluster. In addition, it is seen that the 0-14 age group characteristic fails to separate the clusters.
Work-in-Progress-Augmented Reality Enriched Project Guide for Mechanical Engineering Students

This work-in-progress paper describes a case study of an augmented reality enriched learning material, created for mechanical engineering students that learn computer aided design. The case study learning material details the systematic process of designing a 5 degree of freedom robotic arm. The purpose of this research is to highlight the advantages of immersive learning experiences based on augmented reality in engineering. The augmented reality application is designed as a complementary class material along with the project guide. Augmented reality elements tracked directly on top of the existing project guide has the potential to make both teaching and learning more effective.
PEMANFAATAN YOUTUBE CHANNEL COCOMELON SEBAGAI MEDIA PENGENALAN KOSA KATA BAHASA INGGRIS ANAK

The purpose of this study is to explain the use of YouTube channel Cocomelon as a medium for mastery of vocabulary for children aged 4-6 years in Karang Tengah village. This study uses a mixed method, the type of Explanatory Design. The subjects in this study were children aged 4-6 years who live in Karang Tengah Village, Tangerang and their parents who accompany their children to watch YouTube Cocomelon. The sampling technique was nonprobabillity sampling, using purposive sampling type. Collecting data using interview instruments, documentation and non-test instruments. Data analysis used Miles and Huberman's model and descriptive statistics. Based on the results of a questionnaire calculation related to the use of the Cocomelon YouTube Channel as a medium for introducing English vocabulary for children aged 4-6 years in Karang Tengah District, Tangerang, they are included in the "Developing according to expectations" category. This can be seen from the results of the research which states that the average value of children's vocabulary recognition, namely 87.7%, is in the very good category.
The Quality of Machine Translation Assessment On Gender Markers Lingual Units

Machine Translation (MT) is one of the most advanced and elaborate research fields within Translation Technology, the quality of MT output has always been a great concern, and MT evaluation is a popular research topic. This research aims to assess the quality translation on the gender markers lingual unit of the Arabic short story "عَبْدُ اللهِ وَالْعُصْفُوْرُ" which is translated to English and Indonesian using Machine Translation. The research was qualitatively-based method. The subject is gender markers lingual unit that taken from the Arabic short story "عَبْدُ اللهِ وَالْعُصْفُوْرُ". The key instrument of this research is human instrument. Additional instruments used to support this research consisted tables of the lingual units of gender markers and table of rating scales based on Nababans' theory (2012). The research findings showed that this analysis has discovered were 72 lingual units of gender markers in the short story. Further, the dominant type was personal pronoun. Based on the results, it can be concluded that the google translate translation on the gender markers lingual units have the high quality on the accuracy, acceptance, and readability level.
Infrastructure Optimization in Kubernetes Cluster

Kubernetes is a compact, extensible, open-source stage for overseeing containerized responsibilities and administrations, that works with both decisive setup and robotization. Kubernetes is like VMs, however having loosened up isolation properties to share the Operating System (OS) among the applications. The container conversely with VM, has its own document framework, a portion of Central Processing Unit(CPU), memory, process space, and much more. Kubernetes cluster is a bunch of node machines for running containerized applications. Each cluster contains a control plane and at least one node. Infrastructure Optimization is the process of analyzing and arranging the portion of cloud resources that power applications and workloads to augment the presentation and limit squander due to over-provisioning. In the paper, a “Movie Review System” web application is designed using GoLang for backend components and HTML, CSS, and JS for frontend components. Using AWS, an EC2 instance is created and the web application is deployed onto EC2 and hosted in the instance server. The web application is also deployed on Kubernetes locally using the MiniKube tool. A performance analysis is performed for both the deployments on considering common performance metrics for both AWS EC2 / Virtual Machine (VM) and Kubernetes.
THE ROLE OF THE SUBJECT OF ICT IN PRIMARY EDUCATION

This article discusses the issues of improving computer literacy of children aged 8-10 years in the modern digital society. The purpose of the article is to analyze the conducted research on improving the effectiveness of teaching ict for primary school children. The main idea of the article is based on the formation of children's basic knowledge to improve computer literacy in primary school. The authors, based on the opinion of scientists, pay attention to the factors underlying the teaching of ict in primary schools. The article provides a summary of some of the studies. The authors pay special attention to the relations of various nature between the student and the teacher, substantiate the initial idea of specifying the main requirements for the conduct of ict discipline, the goals and objectives of the course. The relevance of the article is devoted to the proper organization of the quality of computer literacy training for primary school children.
Stone, Paper, Scissors Mini-Game for AI Pet Robot

The Artificial Intelligence (AI) Pet Robot is a combination of various fields of computer science. This paper showcases the various functionalities of our AI Pet. Most of the functionalities showcased use the immage processing modules made available through OpenCV. The pet robot has various features such as emotion recognition, follow routine, mini-game etc. This paper discusses the mini-game aspect of the robot. The game has been developed by using VGG16 convolutional network for identification of the action performed by the user. To improve the accuracy we have made use of background subtraction which gives removes all the unwanted objects from the background and gives a simple cutout of the users hand.
An Overview of Etulo: An Idomoid Language

Etulo is an Idomoid language spoken in two Nigerian states: Taraba and Benue.This work gives an overview of the core linguistic features of Etulo as spoken in Benue state.At the phonological level, we highlight the Etulo sound system, its tonal features, syllable structure and the most common phonological processes attested.At the morphological level, we focus on its derivational morphology which involves morphological processes such as affixation, reduplication and compounding.We give a list of the identified word classes with emphasis on the noun and verbal system.Also discussed, are grammatical features which are considered areal such as its rich class of ideophones and verb serialization.Our findings show that Etulo shares some core structural features with other Idomoid languages such as Idoma.The data used for this study are obtained from Etulo language consultants who are native speakers.We adopt a descriptive approach in the analysis of the Etulo language data.
Structural and parametric synthesis of the control system of the unobserved output for the object with distributed parameters

Method of synthesis of a control system for the object with the distributed parametres, providing compensation of dynamic properties of the object and giving to it of properties of standard model of a set. The system possesses the property of an adaptability to parametrical interference of the object. Control along the unobservable coordinate of the object is implemented by synthesizing a chain structure that implements a transfer function close to the inverse transfer function of the object. Weak sensitivity to parametric instability is provided by solving the inverse problem of dynamics. As an example, the heating of a massive billet in a convection oven is considered.
Virtual Production: a New Approach to Filmmaking

The purpose of the research is to investigate the components of virtual production, identify the structure, basic tools of virtual technologies and their benefits, to define differences between virtual processes and traditional filmmaking. The research methodology is based on general scientific methods of complex analysis of the processes that take place in virtual production, and analysis of basic virtual tools, computer programs; use a comparative method for virtual production and traditional film production technology; generalization of the work of virtual technologies, determination of their advantages and disadvantages, research of their influence on modern cinematography. The scientific novelty of the obtained results lies in the systematic analysis of modern virtual technologies components and tools, determined the features of virtual production and its impact on the film industry, proven the relevance and rationality of the use of virtual technologies, both today and in the future. Conclusions. In the course of the research, numerous advantages and new opportunities offered by virtual production were revealed. The essence of virtual processes in film production is analyzed, it is shown how modern computer tools can be creatively applied at each stage of film production. Virtual production is the next logical step in the constant evolution of the film industry, which is changing the film industry today.
A Tool for Automatic Generation of Data Mining Practice Environments

Data analysis subjects are an important part of the computer science degree. In these subjects, seminars and practical sessions where students can practice with different data mining algorithms and techniques are a paramount part. This usually involves the installation and deployment of a common development environment for all the students including libraries, databases, datasets and so forth. Due to the heterogeneity of these environments and the characteristics of the undergraduates, such a configuration and deployment might be an important task in the seminars schedule. Consequently, the present work puts forward an open-source tool for the automatic deployment of data-mining environments based on Docker containers. By means of this tool, the teacher can specify the parameters of the environment to deploy. This results in a set of virtual images comprising the whole practice environment that can be easily distributed among students. This way, we meaningfully optimize the aforementioned deployment step and we also guarantee that all students work with the same practice environment. Finally, we have evaluated the performance of the tool and the level of satisfaction of the students with the generated environments showing quite promising results.
Review on Technologies Used in Developing a Tool for Automatic Software Upgrades at Data Centers

The fast evolution pace of various technologies such as the Internet of Things (IoT), Cloud Computing and the world moving towards digitalization created an increased need for data centers than ever before. Data centers support a wide range of internet services, including web hosting, e-commerce, and social networking. In recent years huge data centers have been owned and run by tech giants like Google, Facebook, Microsoft, etc., and these firms are known as Hyper-scalers. Hyper-scalers are the next big thing, ready to fundamentally alter the internet world for data storage through a variety of services supplied by them across all technological domains. The tool for automatic software upgrade focuses on having a seamless upgrade for the devices in the datacenters mainly in huge data centers owned by the hyper-scalers. This paper mainly focuses on the technologies used in developing the tool for automatic software upgrade, an overview of how the tool is developed, and its features. By deploying this tool in the datacenters, it supports them in delivering more efficient services.
Psychological and pedagogical support for the professional formation of humanities profile students

The article considers the need for psychological and pedagogical support for the professional formation of humanities students. It pays special attention not only to the acquired knowledge and skills in the process of studying at the university but also to the acquisition of professional skills and abilities. These abilities allow the student to identify him with the specialists of the chosen profession. The study of the problem of psychological and pedagogical support for the professional formation of students, as well as the development of certain aspects of the implementation of support programs at the university level, are at the stage of discussion and accumulation of empirical material in Russia. It becomes an urgent task to develop the trajectory of psychological and pedagogical support for students, which will allow them to realize higher needs in the field of training and education and build a more successful professional career. This article describes the stages of psychological and pedagogical support of professional formation (adaptation, identification, consulting). The aims, objectives and content of the defined stages are considered, based on which the trajectory of psychological and pedagogical support of professional formation is built. The trajectory was created using a competency-based approach included in the general system of integrated professional training. The effectiveness of the selected trajectory is verified by the means of various techniques.
Sistem Konten Pembelajaran di Indonesia : Systematic Literature Review

Wikipedia is the largest web-based digital encyclopedia today that contains almost all knowledge in general. On Wikipedia many readers have difficulty finding accurate information about the topic they are looking for, as content on Wikipedia usually contains only an overview of the topic referenced from some existing references. This study aims to examine Wikipedia, other encyclopedias and other online media that contain specific topics with their target users. The study was conducted on literature related to Wikipedia, encyclopedias, education and children's interests, especially at the elementary school level. Literature search is done by including some of the main keywords in Google Scholar such as "Wikipedia", "encyclopedia", "elementary school curriculum", "educational content" and "learning media". Literature is also obtained through the official website of the Ministry of Education and Culture which contains elementary and junior high school education standards, educational assessment standards, and literacy and numeration learning modules at elementary level. The results of literature analysis include 4 classifications based on topics, namely evaluation of usage, content, online learning and media. Based on the results of the analysis found that there has not been much research on the digital encyclopedia for education.
KLARIFIKASI KEMATANGAN BUAH NANAS DENGAN RUANG WARNA HUE SATURATION INTENSITY (HSI)

Pineapple fruit is included in the type of tropical fruit, which is quite popular because it contains a lot of Vitamin C, which is quite high. Pineapple is a local fruit in the Kampar area, this fruit can be consumed directly and become other local processed products. Therefore, the quality of pineapple ripeness must be maintained. The problem that occurs at this time is that the pineapple fruit selection process is still done manually, by looking at it visually, so mistakes can occur in the process of clarifying pineapple fruit identification according to standards. Therefore, it is necessary to research the ripeness of pineapples using the Color Space Algorithm Hue Saturation Intensity (HIS). The variables to be input are based on photos of ripe, half ripe, and raw pineapples using a smartphone camera or DSLR camera with a minimum resolution of 8 MP. Clarifying the results with image processing and Hue Saturation Intensity (HIS) transformation has an accuracy rate of 80% for the 20 image test data. So that the expected results can help pineapple farmers in detecting the level of maturity of pineapple fruit, which is difficult, can minimize errors in determining the ripeness of pineapple fruit
Generalized Supervised Attention for Text Generation

The attention-based encoder-decoder framework is widely used in many natural language generation tasks.The attention mechanism builds alignments between target words and source items that facilitate text generation.Previous work proposes supervised attention that uses human knowledge to guide the attention mechanism to learn better alignments.However, well-designed supervision built from ideal alignments can be costly or even infeasible.In this paper, we build a Generalized Supervised Attention method (GSA) based on quasi alignments, which specify candidate sets of alignments and are much easier to obtain than ideal alignments.We design a Summation Cross-Entropy (SCE) loss and a Supervised Multiple Attention (SMA) structure to accommodate quasi alignments.Experiments on three text generation tasks demonstrate that GSA improves generation performance and is robust against errors in attention supervision.
A Survey on The Employment Status of Gep Graduates of NIPSC

This descriptive study aimed to track the employment status of GEP graduates of NIPSC through the use of a tracer study form the office of the Vice President for Academic Affairs of the College. The data were analysed using frequency counts and percentages. The study revealed that the GEP graduates were all employed, their status of employment were all permanent, they were receiving a monthly salary of Php20, 000 and above and their current jobs were related to their field of specialization regardless of program, sex, and age. Furthermore, 50% of the graduates of MAT program were supervisors, 8% were school heads, and 42% were classroom teachers. In the MAEd program, 34% were supervisors, 38% were school heads, and 28% were classroom teachers. As to the Ed.D program, 40% were supervisors, 50% were school heads and only 1% comprised the classroom teaching. The result suggests that the completion of their MAT, MAED, and EdD degree had been a great help to the graduates. It became an instrument for them to get promoted, to gain greater confidence, and feel secured of their tenure as teachers.
ENGLISH LEARNING MANAGEMENT IN THE ERA OF COVID-19 AT YOUNG LEARNER EDUCATION DEPARTMENT OF STKIP BINA INSAN MANDIRI

As a Teaching and Education College, STKIP Bina Insan Mandiri, especially the English Learning management at young learner departement that has the courage to take steps to make online learning an opportunity to transform education. There are several steps that can be a collective reflection in improving the education system, especially related to online learning. Online learning usually, the instructors are in separate locations so that it requires an interactive telecommunication system to connect the two and the various resources needed in it. Electronic learning (e-learning) or online learning (online) is part of distance education that specifically combines electronic technology and technology for English learning.&#x0D; In qualitative research here, it is related for making notes that really need to be done in order to make data analysis. Note making can be done while conducting interviews or while still conducting interviews, observations, and documentation. By using the documentation, method means collecting data by recording existing data.&#x0D; Documents can be in the form of writings, pictures, or works of someone. So, online learning used as an effort to learn from lecturers, which is to focus more on efforts to transfer knowledge and skills for the students. This policy can also encourage students to be more innovative and creative in learning (students centered learning) especially at young learner departement STKIP Bina Insan Mandiri.&#x0D; The physical encounter will not be abandoned even though the advancement of virtual and digital technology is getting thicker. Even though the Covid-19 outbreak will be last for a long time, we must think about patterns and methods of physical and social learning that are safe for everyone. The development of communication and digital technology has a significant role that academics can make the wide using to look a brighter future, especially at STKIP Bina Insan Mandiri, for Young Learner Departement in English Language teaching.
Correlating Vocabulary and Sentence Structure Mastery to Students’ Writing Skill in Descriptive Text

The aims of the research are to find the correlation between vocabulary and sentence structure mastery towards students’ writing skill. This research also calculates how strong the correlation by analyzed and computed using Pearson Product Moment. The method used in this research is quantitative research method by implementing a correlation study research design that has three variables. The first variable is vocabulary mastery, the second is sentence structure mastery, and the third is students’ writing skill in descriptive text as dependent variable. The researcher gives three tests to 40 students. That test is given to measure student’s abilities according to the three previous variables. The result of this research is the use of correlation between vocabulary mastery and sentence structure mastery toward students’ writing skill. The finding of the research proves a moderate level of correlation. This study suggest that the students have to learn vocabulary mastery and sentence structure mastery, and the English teacher should prioritize it so students’ writing skill will improve.