Reviewerly/exHarmony huggingface dataset:
Conversations in Time: Interactive Visualization to Explore Structured Temporal Data

Temporal data often has a hierarchical structure, defined by categorical variables describing different levels, such as political regions or sales products.The nesting of categorical variables produces a hierarchical structure.The tsibbletalk package is developed to allow a user to interactively explore temporal data, relative to the nested or crossed structures.It can help to discover differences between category levels, and uncover interesting periodic or aperiodic slices.The package implements a shared tsibble object that allows for linked brushing between coordinated views, and a shiny module that aids in wrapping timelines for seasonal patterns.The tools are demonstrated using two data examples: domestic tourism in Australia and pedestrian traffic in Melbourne.
Prediction of Breast Cancer Using AI-Based Methods

Breast cancer has made its mark as the primary cause of female deaths and disability worldwide, making it a significant health problem. However, early diagnosis of breast cancer can lead to its effective treatment. The relevant diagnostic features available in the patient’s medical data may be used in an effective way to diagnose, categorize and classify breast cancer. Considering the importance of early detection of breast cancer in its effective treatment, it is important to accurately diagnose and classify breast cancer using diagnostic features present in available data. Automated techniques based on machine learning are an effective way to classify data for diagnosis. Various machine learning based automated techniques have been proposed by researches for early prediction/diagnosis of breast cancer. However, due to the inherent criticalities and the risks coupled with wrong diagnosis, there is a dire need that the accuracy of the predicted diagnosis must be improved. In this paper, we have introduced a novel supervised machine learning based approach that embodies Random Forest, Gradient Boosting, Support Vector Machine, Artificial Neural Network and Multilayer Perception methods. Experimental results show that the proposed framework has achieved an accuracy of 99.12%. Results obtained after the process of feature selection indicate that both preprocessing methods and feature selection increase the success of the classification system.
Development of Guided Inquiry Based Teaching Materials Enriched with Augmented Reality

The purpose of this research and development is to produce Guided-Inquiry Based Teaching Materials Enriched by Augmented Reality (AR) on the subject of light and optics for 8th grade which is feasible and valid, as a teaching materials during the COVID-19 pandemic. This research and development using Lee and Owen’s method. However, it was narrowed down into 3 stages only, which are: assessment/analysis, design, and development stage. The teaching material’s validity was obtained from expert’s validation result, while the feasibility was obtained from the feasibility test on the students. Developed teaching materials takes form of an A5 sized pocket book, and discuss about the basic competencies in the subject of light and optics. Subject delivery served through learning module, learning video, and AR technology on image formation as well as using Google Form as student worksheet. The validation result shows that developed teaching materials are feasible and valid with score percentage more than 61 percent.
Increasing Reading Competence of Recount Text through Jigsaw Learning Model with Picture of “Sungai Kehidupan”

This research aims to increase reading ability of recount text. The research is done because only 43% students who passed reading test. Subject of research was 36 students in class of XI IPS 2 SMA Negeri 1 Bantul. The are two cycles in conducting a classroom action. Every cycles consist of planning, action, observation, and reflection in jigsaw learning model. The data of research are observation, questioner, test and interview in understanding recount text with “sungai kehidupan” which is related to biography and historical recount through jigsaw learning model. Based on the test result obtained increasing reading ability from 42% to 83%, response data of learning are 0.6% of students very agree, 80% agree and 9,4% disagree. From questioner, students can understand the text, enjoying, variety, effective, creative, cooperation, critical thinking, and fascinating in learning. This learning model is very useful for students so they can interest in studying, variety of teaching and suitable for teacher to teach recount text with “sungai kehidupan”.
Correction to: Web Engineering

In Chapter 10, the term “paths” was used instead of the term “operation.” This has been corrected and the term “operations” is now used throughout the paper.
Curriculum and Student Analysis of Interactive Electronic Book Based on Project in Strategy and Design of Learning Subject

Biology learning strategies and designs are courses that teach the principles of learning and teaching and apply them in the biology learning process. So far, students only use printed textbooks as a reference. This is not in accordance with the existing needs, because students are more likely to look for teaching materials from the Internet. This results in learning to be monotonous, not interactive and does not increase student creativity. It is for this reason that researchers develop project-based interactive books so that learning becomes interactive and can increase student creativity. The purpose of this research is to determine the curriculum analysis and student analysis in the development of project-based interactive books. This research is a development research using the 4D model at a specified stage. The analysis data were obtained through descriptive analysis. The resulted showed that 10 materials need to be developed in the module. Can prove that there are ten materials developed. It can be concluded that there are ten materials developed in project-based interactive digital books and the age range of students is 18-21 years
Implementation of Weighted Tree Similarity and Cosine Sorensen-Dice Algorithms for Semantic Search in Document Repository Information System

As more and more documents we manage, the more difficult it is in the search process, and the need to use information retrieval becomes important. With the information retrieval system, it can help in searching for documents that match the similarity of keywords. Usually document searches usually only see the name of the document (file) being searched for by the user without paying attention to the content or metadata of the document, so that it cannot meet their information needs. Document search has several approaches, including full-text search, plain metadata search and semantic search. This study uses the Weighted Tree Similarity algorithm with the Cosine Sorensen Dice algorithm to calculate the semantic search similarity. In this study, document metadata is represented in the form of a tree that has labeled nodes, labeled branches and weighted branches. The similarity calculation on the subtree edge label uses Cosine Sorensen Dice, while the total similarity of a document uses the weighted tree similarity. The metadata structure of the document uses the taxonomy owner, description, title, disposition content and type. The result of this research is a document search application with taxonomic weight on file storage.
ANALISIS KEMAMPUAN MENULIS PANTUN SISWA KELAS V B SDN 1 MIDANG LOMBOK BARAT TAHUN PELAJARAN 2020/2021

This study aims to determine the ability of grade V B students of SDN 1 Midang in writing poetry for the 2020/2021 school year. The results of this study are expected to be useful for students, teachers and other researchers. This research is a descriptive study with quantitative methods. The subjects in this study were all students totaling 25 students consisting of 10 male students and 15 female students. Data collection techniques using documentation and interviews. Data analysis using descriptive analysis techniques. Based on the results of data analysis, the ability to write pantun in the very good category was 15 students with a percentage of 60%. The ability to write rhymes in the good category was 3 students with a percentage of 12%. The ability to write pantun who got sufficient category was 4 students with a percentage of 16%. And the ability to write pantun who got the less category was 3 students with a percentage of 12%. Thus, according to the calculation of the mean value, it can be concluded that the students' ability to write poetry in grade V B SDN 1 Midang is in good category with an average score of 79.
WRITING STYLE COMPARISON BETWEEN MALE AND FEMALE STUDENTS IN WRITING ARGUMENTATIVE ESSAY

Male and female students have different and similar writing styles. These differences and similarities make them have their own characteristics in writing. The differences that occur can be seen in terms of lexical and grammatical features. This research aimed to compare writing style between male and female students in writing argumentative essay. This research was conducted at English Language Education Study Program, Faculty of Teacher Training and Educational Sciences, Pakuan University. There were four male and four female students from 4A in this research as the participants. To gain the research data, the researcher used three research instruments: documentation, questionnaire, and interview. Documentation instrument was used to analyze students’ work. Questionnaire instrument was distributed two times for each student. Interview was conducted once for each student. According to the data analysis, it was found that there are two similarities and three differences between male and female students in writing argumentative essay. The similarities are the use of psychological processes and the use of sentence structure, punctuation, and capitalization. The differences are the way to express the opinion, the use of words, and the use of certain possessive pronouns more frequently
New Smart Encryption Approach based on Multidimensional Analysis Tools

In the last decade, with the new situation forced by the Covide-19 pandemic, the information systems are often forced to work remotely, they must communicate and share confidential data with several interlocutors.In such a context, ensuring the confidentiality of communications becomes a complex and difficult task.Hence, the need to have a flexible system that can adapt with different parameters involved in every exchange of information.We recently presented in [1] a new smart approach to data encryption that serves the same purpose.This approach uses the concept of artificial intelligence and apply BNL skyline algorithm to decide about the most suitable algorithm to ensure the best data privacy.However, with the evolution of dimensions and criteria to be considered for this smart encryption, we find that the complexity of the BNL algorithm increase, then, the response time of the application increase and the skyline encryption quality decreases.In this work, we propose a new idea to resolve this problematic.Indeed, this contribution consists in adding another Intelligence brick to dynamically define the Skyline algorithm depending on the type and number of dimensions.Through this paper, we provide an analysis and a comparison of some skyline algorithms for the multidimensional search.The results obtained by this study show the performance of this new approach whether in terms of execution time or in the quality of the dominant encryption solution.
Performance Evaluation of LSA, NMF and ILSA in Electronic Assessment of Free Text Document

Aims: To evaluate the performance of an Improved Latent Semantic Analysis (ILSA), Latent Semantic Analysis (LSA), Non-Negative Matrix Factorization (NMF) algorithms in an Electronic Assessment Application using metrics, Term Similarity, Precision, Recall and F-measure functions, Mean divergence, Assessment Accuracy and Adequacy in Semantic Representation.&#x0D; Methodology: The three algorithms were separately applied in developing an Electronic Assessment application. One hundred students’ responses to a test question in an introductory artificial intelligence course were used. Their performance was measured based on the following metrics, Term Similarity, Precision, Recall and F-measure functions, Mean divergence and Assessment Accuracy.&#x0D; Results: ILSA outperformed the LSA and NMF with an assessment accuracy of 96.64, mean divergence from manual score of 0.03, and recall, precision and f-measure value of 0.83, 0.85 and 0.87 respectively.&#x0D; Conclusion: The research observed the performance of an improved algorithm ILSA for electronic Assessment of free text document using Adequacy in Semantic Representation, Retrieval Quality and Assessment Accuracy as performance metrics. The results obtained from the experimental designs shows the adequacy of the improved algorithm in semantic representation, better retrieval quality and improved assessment accuracy.
Estimation of the ambit of breast cancer with a modified ResNet analysis using machine learning approach

Breast Cancer has been one of the most common reasons for mortality and morbidity among the females around the world especially in developing countries.In this regard, Mammography is a popular screening technique for breast cancer diagnosis so as to label the existence of cancerous cells.The present work encompasses the design and development of a M-ResNet (Modified ResNet) approach so as to classify the breast cancer into benign and malignant conditions with the inclusions for supervised classification models with the training of both upper as well as the lower layers of the designed networks.The efficacy of the developed approach was evaluated using various performance evaluators such as those of sensitivity, specificity, accuracy and F1-Score.Bi-Rads score was used as a basis for the classification process wherein a score of 0-3 correlated to benign and it is non-cancerous nature of tissues whereas malignancy was denoted by a score of 4 and above.InBreast dataset, a publicly available online dataset with 112 breast images were used for the evaluation of the developed paradigm.The present paradigm portrayed an accuracy of 96.43% with Area Under the Curve (AUC) of 95.63%.
RUMAH SINGGAH DIGITAL KOMUNITAS DESAIN

Alternative forms of housing continue to develop along with the emergence of various problems from the massive vertical housing development in cities today, ranging from physical problems to the area to social problems among residents of vertical housing themselves. The domination of private space and the lack of public space has created a passive residential environment with minimal interaction. This has resulted in a lack of social control among residents who have made vertical housing a place that is prone to crime, such as several apartments in Jakarta which are known as locations for hidden prostitution, and even suicides. The city of Jakarta is one of the cities that has experienced massive vertical housing development. There needs to be a solution to solve settlement problems in the city of Jakarta through the scientific field of architecture with the concept of digital housing for communities. The purpose of this study is to implement the concept of digital shelter for communities supported by supporting theories oriented to human interaction in an architectural design object system in the form of vertical housing supported by digital equipment or technology. Keywords: Digital; Interactive; Living AbstrakAlternatif bentuk hunian terus berkembang seiring dengan timbulnya beragam permasalahan dari pembangunan hunian vertikal yang masif di perkotaan saat ini, mulai dari permasalahan fisik bangunan terhadap kawasan hingga permasalahan sosial di antara penghuni hunian vertikal sendiri. Dominasi ruang privat dan minimnya ruang publik telah menciptakan lingkungan hunian yang pasif dan minim interaksi. Hal ini menimbulkan kurangnya kontrol sosial di antara penghuni yang telah menjadikan hunian vertikal sebagai tempat yang rawan akan tindak kriminalitas, seperti beberapa apartemen di Kota Jakarta yang dikenal sebagai lokasi prostitusi terselubung, bahkan kasus bunuh diri. Kota Jakarta merupakan salah satu kota yang mengalami perkembangan hunian vertikal yang cukup massif. Perlu adanya solusi untuk menyelesaikan permasalahan permukiman di Kota Jakarta melalui bidang keilmuan arsitektur dengan konsep hunian digital untuk komunitas. Tujuan dari penelitian ini adalah mengimplementasikan konsep Hunian digital untuk Komunitas yang didukung oleh teori-teori pendukung yang berorientasi pada interaksi manusia di dalam sistem objek perancangan arsitektur berupa hunian vertikal yang di dukung dengan peralatan atau teknologi digital.
ART AND TRAUMA

Presentation of articles from issue 33 of Revista Cena, a publication on the interrelationships between art and trauma. Trauma is understood as a wound, violence, defeat, disaster, psychological shock, emotional shock, suffering, agony. These and other derived concepts are of interest to a cultural arc that spans concerns from psychoanalysis to sociology, including manifestations of all the arts and the theory that is made about or from them. It also implies the response that can be given to anxiety. The year 2020 brought medical, socioeconomic and emotional confrontation to the world against the sanitary constraints of the Covid-19 pandemic, from social isolation to losses of any kind and their contingencies. On all continents, anxiety continued its course, accompanied by the necessary symbolic support – to which the arts, communication and creativity programmatically contributed – but not finding it fully when interdicted by the ethical and moral shock caused by denial and the behaviors considered diversionary or antisocial. From the Plague of Athens to the fratricidal conflicts of the present, from the sacred texts to the post-apocalyptic imagery in cultural products, from the self to the other, art was made and is present, spontaneous or induced, building worlds.
Administrative Innovation and Entrepreneurship Strategy: Relationship and Impact Case study In the Palestinian Islamic Development Company.

This research aims to study the relationship and impact between the application of managerial innovation and the strategy of entrepreneurship in terms of (creativity, offensive competition, proactive, and risk-taking) in the Palestinian Islamic Development Company as a case study. The research followed the descriptive analytical method, based on the methodology of modeling structural equations through the use of the Advanced Statistical Analysis Program (Smart PLS3) to test the study hypotheses. The research community consists of the employees working in the company's supervisory sites, who number (80) members, and a comprehensive inventory method was chosen to collect the study data. The results of the statistical analysis proved that there is a correlation and impact between the dimension of administrative innovation and the entrepreneurial strategy for workers in the Islamic Palestinian Development Company. In addition, the results of the statistical analysis showed the acceptance of sub-assumptions between the dimension of management innovation and the dimensions of the entrepreneurial strategy in terms of (creativity, offensive competition, proactive, and risk appropriation). The impact of this research shows the necessity for the company to focus on enhancing administrative innovation and the components of the entrepreneurial strategy by removing all obstacles that prevent it from reaching individuals; by giving workers complete freedom in creating modern management methods to get rid of the rigidity of the organizational structure, and trying to create a section on innovation from Those with creative and entrepreneurial ideas in line with the requirements of the times.
FORMATION OF CONCEPTS OF SPECIALTIES THROUGH PLAY ACTIVITIES OF PRESCHOOL CHILDREN

An important condition for the full development of preschool children is the formation of their initial understanding of the professions in accordance with their age and the provision of information about the work of adults. Familiarization of children with the work of adults related to the profession is an important social and emotional tool that introduces them to the adult world, expands and improves knowledge about the profession, as well as activates the vocabulary. This article describes some of the theoretical backgrounds and examples from the experience of introducing preschoolers to the world of professions through play.
Face Recognition And Its Different Algorithms

Face recognition is one of the most used applications for analysis of image.To build anautomated system which recognize faces with human recognition accuracy is real work. Thecomputers, with an almost limitless memory and computational speed, should overcomehumans limitations.Face detection was included as a unavoidable prepossessing step for facerecognition, and as an issue by itself. Thus facial recognition calls out researchers fromdifferent domains and attracts diverse disciplines. Thus the problem is not only effected toone stream. Face recognition is a relevant subject in pattern recognition, neural networks, computer graphics, image processing and psychology.
Pengaruh Model CTL Berbantuan Buklet Terhadap Kemampuan Berpikir Kreatif Siswa Kelas IV Sekolah Dasar

This study aimed to analyze the effect of Contextual Teaching and Learning (CTL) model assisted by booklets on the students’ creative thinking ability at grade IV elementary school. The choice of booklet media CTL model was considered appropriate for SDA and poetry materials on the theme of Cita-Citaku. Students could relate the materials to their life environment through CTL model and booklet media; this can be done in groups or individually. This study was quantitative experimental research with nonequivalent posttest-only control group design. The samples in this study were fourth grade students of SDN 1 Bulungcangkring as the experimental class and fourth grade students of SDN 3 Bulungcangkring as the control class. Based on the results of the study, it was revealed that (1) the thinking ability of students taught with CTL model assisted by booklet was better than those taught by the lecture model; (2) the average creative thinking ability of students taught with the CTL learning model was more than 70 (KKM). It could be concluded that there was an effect of Contextual Teaching and Learning model assisted by booklets on the students’ creative thinking abilities at grade IV elementary school.
AUTOMATED ASSISTANCE FOR PARALYTIC PATIENTS

The refined aim behind this project is to detect and measure the wrist movements of paralytic patients with an accelerometer, which is used to convey messages to the caretaker during regular or dire circumstances. Paralysis is the loss of strength in and control over a muscle or group of muscles in a part of the body, which many people in today’s world suffer from. To cater to this problem of the paralytic patients, the wrist movements of the hands play a cardinal role in this proposed system. Our proposed system works by measuring the tilt angle detected by the device which is placed on the opisthenar area (dorsal) which is the corresponding area on the posterior part of the hand. Different tilt angles convey different messages and at the time of exigency with the help of Wi-Fi module and Blynk application, emergency notification will be sent to the concerned caretaker facilitating effective and efficient communication, ensuring full time attention to the patient’s needs in all the circumstances.