Reviewerly/exHarmony huggingface dataset:
A Genetic Programming Approach to Automatically Construct Informative Attributes for Mammographic Density Classification

Breast density is widely used as an initial indicator of developing breast cancer. At present, current classification methods for mammographic density usually require manual operations or expert knowledge that makes them expensive in real-time situations. Such methods achieve only moderate classification accuracy due to the limited model capacity and computational resources. In addition, most existing studies focus on improving classification accuracy using only raw images or the entire set of original attributes and remain unable to identify hidden patterns or causal information necessary to discriminate breast density classes. It is challenging to find high-quality knowledge when some attributes defining the data space are redundant or irrelevant. In this study, we present a novel attribute construction method using genetic programming (GP) for the task of breast density classification. To extract informative features from the raw mammographic images, wavelet decomposition, local binary patterns, and histogram of oriented gradients are utilized to include texture, local and global image properties. The study evaluates the goodness of the proposed method on two benchmark real-world mammographic image datasets and compares the results of the proposed GP method with eight conventional classification methods. The experimental results reveal that the proposed method significantly outperforms most of the commonly used classification methods in binary and multi-class classification tasks. Furthermore, the study shows the potential of G P for mammographic breast density classification by interpreting evolved attributes that highlight important breast density characteristics.
Data Classification Algorithms for Complex Heavy-Tailed Distributions

This paper deals with the adaptive classification problem of heavy-tailed data drawn from a multivariate distribution of the complex elliptically symmetric family. The authors assume that the collected data is either homogeneous or partially homogeneous. Based on the GLRT criterion, two adaptive classifiers are devised for the scenarios of Hermitian and persymmetric scatter matrices, respectively. To estimate the unknown parameters, iterative algorithms with convergence property are introduced to solve the developed non-convex maximum likelihood optimization problems. The simulation results show that, compared with the Hermitian scenario, the exploitation of persymmetric structure information can lead to an obvious performance improvement.
Dynamic constraints and optimization problem for cooperative search-track mission planning

Management and mission planning over a swarm of unmanned aerial vehicle (UAV) remains to date as a challenging research trend in what regards to this particular type of aircrafts.Mathematically the problem of coordinating and assigning tasks to a swarm of UAV can be modeled as a constraint satisfaction problem,and the cooperative search-track mission is a dynamic constrained Multi-objective Optimization Problems (DCMOPs).The objective functions and constraints are time-dependent and changing number. Unfortunately, most existing dynamic handling techniques can hardly be adapted to this type of dynamics. When solving dynamic constrained multiobjective optimization problems, an important issue is how to balance convergence, diversity, and feasibility simultaneously.In this paper, we report our attempt toward tackling the DCMOPs with a time-dependent and changing number objectives and constraints. We implement a dynamic two archives evolutionary with self-adaptive penalty algorithm which maintains two co-evolving populations simultaneously.
ANALISIS DAMPAK PUASA SENIN KAMIS TERHADAP KADAR KOLESTEROL DALAM DARAH MENGGUNAKAN ALAT UKUR NON-INVASIF BERBASIS ARDUINO UNO

Excessive cholesterol in the blood can have an impact on health, causing various deadly diseases. Fasting Monday and Thursday is one solution in lowering cholesterol levels in the blood apart from our main reason for worshiping Allah SWT. The purpose of this study was to determine the effect of fasting on Mondays and Thursdays on cholesterol levels in the blood using a non-invasive cholesterol level measuring instrument based on Arduino Uno. The method used is the Research and Development (R&amp;D) method. The results showed that the non-invasive measuring instrument had an accuracy of 97.02%, so it was feasible to be used as a medical measuring instrument. Analysis of six respondents who did fasting Monday and Thursday shows a linear tendency to decrease cholesterol levels with an average coefficient of determination of 0.3282.
ANALISIS PEMETAAN ZONA KONSERVASI AIR TANAH DI PROVINSI SULAWESI SELATAN MENGGUNAKAN APLIKASI QGIS

This study is titled Mapping Analysis of Groundwater Conservation Zones in South Sulawesi Province Using QGIS Application. This study aims to digitize the map of groundwater conservation zones in 13 regencies/cities in South Sulawesi Province and to find out the division of groundwater conservation zones in 13 regencies / cities in South Sulawesi while calculating the area of each zone. The method used in this study is to use data processing methods, where secondary maps in jpeg form are digitized and then analyzed to obtain results in the form of zone division and area of each zone. From the results of research that has been obtained, there are 5 types of groundwater conservation zones, namely critical zones, rare zones, vulnerable zones, safe zones, and addition zones. In 13 regencies/cities in South Sulawesi Province the most extensive zone is a safe zone with an area of 818912.42 hectares. However, the second largest zone (59626,923 hectares) is a vulnerable zone where in this zone can no longer absorb properly. For this reason, there needs to be a preventive way to overcome the problem.
Digital Tools to Promote STEM Education in New Normality

Science, Technology, Engineering, and Mathematics (STEM) education, its importance, and its difficulties have been defined. This chapter seeks to present the digital tools that have been used during the pandemic period and that have been focused on promoting STEM education at different levels. The efforts made by educational organizations worldwide are mentioned. Different regions are shown presenting the best experiences of digital tools that enhance the elements of STEM and can be extended to different levels of education from elementary school to university. On the other hand, successful experiences of the use of technological tools from the teachers' point of view are shown, depicting the tools that have worked the most during the process of adapting to online classes to devise a much better educational plan that continues to take advantage of digital tools for STEM education.
Thought experiments: the philosophical and educa¬tional aspect

In recent years, one can observe great interest in such a phenomenon as thought experiments in various fields of science and philosophy. In research, they are usually seen as tools for argumentation or presentation of some theory. The author of this article will consider thought experiments instead from the point of view of use in the educational process. Also, thought experiments will be analyzed as one of the options for checking the level of understanding of some material from the educational course, which adds creativity and creativity to the educational process not only for the teacher but also for other participants of the educational process (pupils, students, graduate students). The proposed classification of thought experiments will help improve the educational process and interest in the subject. The article provides examples from the history of philosophy and science, which illustrate the importance of thought experiments for learning and emphasize their use as a tool (or skill) when working in a specific field of science. Examples of the use of thought experiments in the educational process of different countries, recommendations from international educational organizations, and the provision of a specific algorithm for their application were given. An improvement of this process, which primarily appeals to everyday experience, is proposed. Some recommendations from the work of modern logic are given for a clearer and stricter use of such reasoning as reasoning by analogy. A comparison was made regarding the attitude to the thought experiments of such scientists as Thomas Kuhn, Karl Popper, and Georg Lichtenberg. Attention is focused on using thought experiments to improve understanding of concepts and theories and increase the creative component and interactivity during all types of classes.
Higher education worries and response in the era of artificial intelligence

The rapid development of artificial intelligence (AI) has promoted the reform of higher education in the form of a technological revolution.The internal mechanism of the development of the higher education system and the intervention of the external environment have promoted the development of higher education with the times, and also brought opportunities and concerns for the development of higher education.In the era of AI, the thinking of teachers and students is weak, and the learning environment and mode change, resulting in moral problems and technical fanaticism.How does higher education develop well in the era of AI? Thinking and answering these deep-seated questions will be the key to determining how far AI will go in the field of education, and also the response of higher education to the era of AI.
NON-FORMAL EDUCATION OPTIONS FOR ADDRESSING SECURITY CHALLENGES IN NORTH-EAST AND NORTH-WEST NIGERIA

The issue of Boko Haram and Banditry insurgency has been characterized by the killing, of people, abduction of school children, kidnapping for ransom, army robbery, raping, rustling of cows, destruction of houses, schools, mosques, churches, markets, security posts, health care centers, and farms has become a great security problem in northeast and northwest, Nigeria. The issue has resulted in a waste of peoples’ lives and livelihoods in the two geopolitical zones. The researchers believe that Boko haram insurgency and banditry security issues in Nigeria can be better addressed through Non-formal Education options. This study, therefore, examined how non-formal education can be explored to end insecurity challenges in the northeast and northwest Nigeria. The researchers used the Google database to get relevant journal papers. The prism technique was used to get and extract data based on the known inclusion and exclusion criteria. According to the analysis, non-formal education options can be explored to address boko haram insurgency and banditry in north-east and north-west Nigeria and if non-formal education options as described in this study are adopted, boko haram insurgency and banditry will be of the past in Nigeria.
DEVELOPMENT OF ELEMENTARY LINEAR ALGEBRA COURSE E-MODULES BASED ON FLIP BOOK MAKER WITH INTEGRATED ISLAMIC VALUES

The aims of this study were (1) to find out the process of developing an e-module for elementary linear algebra courses based on a flip book maker that integrates Islamic values. (2) to determine the characteristics of the e-module. (3) to determine the level of validity, practicality, and effectiveness of e-modules. The type of research used is Research and Development concerning the Plomp development model which consists of 5 stages. The product developed is an e-module course on elementary linear algebra based on a flip book maker. The test subjects in this study were second-semester students at UIN Alauddin Makassar, in the academic year 2021/2022. The instruments used were expert validation sheets, lecturer response questionnaires, observation sheets on the ability of lecturers to manage to learn, learning implementation observation sheets, student response questionnaires, student activity sheets, and learning achievement tests. Based on the trial results, it was found that (1) the product development process referred to as the Plomp development model was not fully implemented until the implementation stage due to time constraints, (2) the characteristics of the e-module are digitally designed with the flip book maker application which can be accessed using Android or Android. laptop, load learning videos, load examples of contextual questions integrated with Islamic values, and presentation of material using a scientific approach, (3) e-modules are categorized as valid with an average validity of 4.25, declared practical because all aspects are fully implemented, and declared effective because the level of completeness reached 96.3%.
Energy Consumption Analysis in Post Quantum Cryptography Using Multivariate Signature Algorithms

Classical cryptographic schemes in use today are based on the difficulty of certain number theoretic problems. Security is guaranteed by the fact that the computational work required to break the core mechanisms of these schemes on a conventional computer is infeasible; however, the difficulty of these problems would not withstand the computational power of a large-scale quantum computer. To this end, the post-quantum cryptography (PQC) standardization process initiated by the National Institute of Standards and Technology (NIST) is well underway. In this paper, the energy consumption of PQC measurements are categorized based on their proposed cryptographic functionality. The results are used in order to identify the most energy-efficient schemes.
Multi-objective evolutionary optimization for dimensionality reduction of texts represented by synsets

Despite new developments in machine learning classification techniques, improving the accuracy of spam filtering is a difficult task due to linguistic phenomena that limit its effectiveness. In particular, we highlight polysemy, synonymy, the usage of hypernyms/hyponyms, and the presence of irrelevant/confusing words. These problems should be solved at the pre-processing stage to avoid using inconsistent information in the building of classification models. Previous studies have suggested that the use of synset-based representation strategies could be successfully used to solve synonymy and polysemy problems. Complementarily, it is possible to take advantage of hyponymy/hypernymy-based to implement dimensionality reduction strategies. These strategies could unify textual terms to model the intentions of the document without losing any information (e.g., bringing together the synsets "viagra", "ciallis", "levitra" and other representing similar drugs by using "virility drug" which is a hyponym for all of them). These feature reduction schemes are known as lossless strategies as the information is not removed but only generalised. However, in some types of text classification problems (such as spam filtering) it may not be worthwhile to keep all the information and let dimensionality reduction algorithms discard information that may be irrelevant or confusing. In this work, we are introducing the feature reduction as a multi-objective optimisation problem to be solved using a Multi-Objective Evolutionary Algorithm (MOEA). Our algorithm allows, with minor modifications, to implement lossless (using only semantic-based synset grouping), low-loss (discarding irrelevant information and using semantic-based synset grouping) or lossy (discarding only irrelevant information) strategies. The contribution of this study is two-fold: (i) to introduce different dimensionality reduction methods (lossless, low-loss and lossy) as an optimization problem that can be solved using MOEA and (ii) to provide an experimental comparison of lossless and low-loss schemes for text representation. The results obtained support the usefulness of the low-loss method to improve the efficiency of classifiers.
Software Development Techniques In Current Scenario

Now a days, technology of Internet become very fast growing development and rapid advancement in software. Internet is very essential resource for the people. IOT, Machine Learning, Big Data technologies, Artificial Intelligence etc., are some of the new technologies with variety of applications all over the world. Predicting the future in the computing Industry is very harder. In the field of software introduces of key changes to the research process. As a result, the software research is blowing in increasing breath of topics that tends to Implementation. Software technology today is improving at a rapid growth, enabling faster change and progress, Causing an accelerating of the rate of change. It is not only technology trends and emerging technologies that are extend, a lot more has changed this year due to COVID-19. The software development techniques may tend to learning and relearning process. Keywords: Automation, Big Data, Middleware platform, IoT, Wrangling
The Students’ Perception on the use of Blue button application in Teaching English for Tourism Course in Indonesia Student Micro Credential Program

This study is aimed to describe about students’ perception in the learning process in English for Tourism using Blue Button Application in the Indonesia Student Micro Credential and what are the difficulties that the students faced during learning through the Blue Button Application as the learning media. This research used descriptive Qualitative method that the researcher took the data collection from interview and questionnaire sheets. The subject of this research was the students from English for Tourism class in the Student Micro Credential Program that held by the government collaboration with tourism industry and Universitas Pendidikan Muhammadiyah Sorong. From this research it is found that (1) The students felt easy to use Blue Button Application in learning English for Tourism, (2) the students are easily to access the material like video, text, and picture. (3) students interested with the design of material which presented in the application. (4) the students effectively followed English for Tourism class through Blue Button Application. Meanwhile the difficulties that the students facing during learning English for Tourism using Blue Button Application are (1) the unstable internet connection (2) some students still not familiar with Blue Button Application (3) the upload system that used in the application is very easy for other students to copy. (4) most of the students agreed that they have lack of experience by practicing tourism guide through the application.&#x0D; Keywords: students’ perception, Blue Button Application, English for Tourism
Communication Barriers in Online Learning for Teachers, Students and Parents of Students of Public Elementary School I Teluk Pucung

This research was conducted to explain how communication barriers during online learning for teachers, students and parents of grade 3 students at Teluk Pucung State Elementary School in North Bekasi. The approach in this study uses a qualitative approach using phenomenological methods. The subjects or informants selected in this study were grade 3 teachers, grade 3 students and parents of grade 3 students. Data collection is carried out through observation, interviews and documentation. The results of this study show that there were communication barriers in the online learning process that took place yesterday, such as: teachers, students and parents experienced technical obstacles. Students and parents experience semantic barriers when the teacher delivers the material in a high tone/voice because the teacher anticipates if his voice is not heard when delivering the material but the student thinks that the teacher is angry. Students and parents experience behavioral barriers or humanitarian barriers such as students feeling bored and saturated quickly and students showing lazy behavior / attitudes during online learning, Parents of students are easily angry with their children if they are explaining or accompanying their children to do online learning. The three communication barriers that occurred in grade 3 of SDN I Teluk Pucung North Bekasi during online learning took place yesterday.
The Research on the Preference of “Role Play” Acts in Audiobook upon Chinese Audiences

Nowadays, in the new media environment generated by science and technology such as digital technology, Internet technology, and mobile communication technology, the way people acquire information and knowledge presents diversified characteristics, and people's reading methods also have more choices. Sound, which serves as one of the most vital parts of the reading industry, also has been making progress in its development. And the behavior of listening to audiobooks has been fulfilled in people’s lives. Although the previous related research does have essential contributions to studying the audiobook industry, they just introduce the audiobook market and some of the uses appear in people’s lives. This literature does not address what interests people about audiobooks, and it does not fully address what makes audiobooks appealing. In this research, the authors want to explore the factors that influence audiobooks so that the authors can figure out how can the authors make audiobooks better for the listeners. The research topic is whether the element of “role play” acts on the most influential part in the audiobook industry. An e-questionnaire was designed to collect the data mainly about the users’ preferences on three elements: the cast of the voice actors, the post-production, and the form of the audiobook. And the result shows that most of the young people may care about the form of the audiobook, especially liking the form of performing the stories like drama.
Aplikasi Penentuan Hasil Persilangan Ular Phyton Molurus Bivittatus Berbasis Android

Nowadays, the existence of Sanca Bodo snake (phyton molurus bivittatus)is getting the attention by many people. This kind of snake belong to the favourite animal. Many people are interested to this snake not only for hobby but also for business. The snake lovers and breeders have already successes to cultivate this snake in normal cultivation. Then, many snake lovers want to develop their cultivation by crossing the gen morph is one of the result. Morph is a new kind of snake that has different colour and shade from albino. Technology development in smart phone, such as BlackBerry, Android and iPhone gives so many information for the users. Because of that, the researcher is interested to make an application or software to help the snake lovers and breeders of phyton molurus bivittatus to know the result of genetic crosses. The purpose of this research is to build an information system in application mobile for the snake lovers and breeders nedd. Research method used in this research is Rational Unified Process (RUP) and Unified Modeling Language (UML) for the modeling language. The result of this research has been successful to built an application of information system that can give the information about the genetic crosses of phyton molurus bivittatus based on the pretension. Keywords— design information system, data flow diagram, waterfall.
ANALISA KASUS KEJAHATAN SIBER DENGAN MENGGUNAKAN VISUALISASI DATA

The development of information technology is currently growing rapidly. There are many ways to do visualization analysis. As with using tools that are widely spread, in this case the researcher aims to visually analyze data on cyber crimes that are rife in society. By conducting this evaluation, it is hoped that it can help related parties to overcome and prevent cybercrime in the community. The results of this study will be interesting results because they visually display data that is easy to read and easy to carry out an analysis in making decisions. Based on the results of the research, the researchers translated cybercrime into visual data form, based on the results of the research it is known that cybercrimes often occur in 2020, then the most common method of attack is hacked, finally the companies that are most often affected by cybercrime are companies engaged in the field of medical.