Reviewerly/exHarmony huggingface dataset:
BREAST CANCER DETECTION USING MACHINE LEARNING

Breast cancer is a prevalent disease worldwide, with women being more susceptible to it.Early detection is crucial for the successful treatment of breast cancer.Therefore, there have been numerous studies on breast cancer to improve early detection and lower mortality rates.Breast cancer has surpassed lung cancer as the most prevalent cancer in women worldwide today.In the medical industry, machine learning techniques are being employed more and more, particularly for diagnoses and decision-making.The effectiveness of many machinelearning methods for identifying breast cancer, such as logistic regression, decision trees, and random forests, was assessed.This study utilized the Wisconsin breast cancer datasets.The primary objective was to assess the effectiveness and efficiency of these algorithms in accurately categorizing breast cancer cases, based on metrics such as accuracy, precision, sensitivity, and specificity.The study also involved data visualization to gain insights into the characteristics of the dataset.The study's findings may contribute to the creation of breast cancer detection techniques that are more precise and effective, thereby improving patient outcomes.
Improving Activities and Writing Skill in English Simple Descriptive Text by Applying the Strategy of the Picture Word Inductive Model in Students of Class VIID Warureja Junior High School in the Academic Year 2017/2018

Increase in activity in writing simple descriptive texts in English by applying the picture word inductive model strategy to students in class VII D Warureja Junior High School 2 in the 2017/2018 school year and increasing the skills of writing simple descriptive texts in English by applying inductive picture word strategies model on students of class VII D Warureja Junior High School 2017/2018 school year. The study was conducted in 2 cycles using an action research model consisting of four components, namely planning, implementing, observing and reflecting. The research subjects were students of class VII D of Warureja Junior High School 2 in the academic year 2017/2018 with 29 students consisting of 15 male students and 14 female students. The conclusions from the results of this class action research are the application of the picture word inductive model strategy that can increase the activity of writing simple descriptive text in English by 10.35%, that is, from the first cycle of 55.17% with the criteria active enough to be 65.52% in cycle 2 active criteria and the application of picture word inductive model strategies can improve simple descriptive text writing skills in English by 10.34%, namely in cycle 1 of 68.97% increasing to 79.31% in cycle 2.
Teaching an artistic violin vibrato

Vibrato is an essential musical element in string instrument playing that enhances and facilitates expressive performance. However, the acquisition of a beautiful vibrato remains one of themost difficult skills for a young string player to obtain and for instructors to teach. There are many reasons that vibrato is a difficult skill to master. The vibrato motion is complex and canonly be executed if the fundamental instrument position and left hand position are established.In recent years a group of researchers, including John Geringer, Michael Allen, and myself, embarked on a systematic investigation that explored some of the central issues debated by string pedagogues. Through a series of investigations we explored elements of string players’ vibrato including: pitch center, continuity, initial direction of motion, finger employed, positions/ pitch register, dynamic level, instrument type, and performers’ experience level. Although many questions remain, results from these studies provide interesting information to teachers that may be beneficial when describing and designing instruction relative to vibrato. In this article, I will focus on the outcomes of a case study that investigated the vibrato of one of the former concertmasters of the New York Philharmonic. This investigation provides some important information that can help us identify the component motions of a violin vibrato (Allen, Geringer, & MacLeod, 2009).
ВХОДЖЕННЯ ПОСТНЕКЛАСИЧНОГО ГУМАНІТАРНОГО ПОНЯТТЯ “ХАОС” В ОСВІТНЮ СФЕРУ: СОЦІАЛЬНО– ФІЛОСОФСЬКИЙ АСПЕКТ ПРОБЛЕМИ СОЦІАЛІЗАЦІЇ ОСОБИСТОСТІ

The article proposes the application of the theory of chaos in the educational sphere, which will expand the methodological arsenal of synergetics in the educational space and social philosophy, open up new opportunities for understanding the educational process from the standpoint of self–organization and non–linearity, as well as helping to solve the problem of socialization of the individual.
Infrastructure Influence, School Conditions And The Economic Towards School Disputes In Cirebon District

One of the determinants of the Human Development Index (HDI) is the education sector. The condition of education in Indonesia, including in coastal areas such as Cirebon Regency, still finds problems related to the dropout rate. As with the Ministry of Education and Culture data, the Rough Participation Rate from SD to Higher Education in Cirebon Regency is still at number 21 out of 27 cities/regencies in West Java. The purpose of this study was to determine what factors can reduce the dropout rate. This research is a qualitative descriptive study. Resource persons in this study were 22 respondents familiar with the conditions of education in the Cirebon Regency, including elements of the Regional Research and Development Planning Agency, the Education Office, Educators, education, and community leaders who were concerned about education problems. The method used is the Process Hierarchy Analysis (AHP). With this analysis, the researcher tries to arrange policy priorities based on each factor's weight so that a priority scale is obtained to reduce the dropout rate in Cirebon Regency. The results showed that the priority order based on the hierarchy is that the infrastructure factor is the priority with a weight of 24.89%. There are aspects of school conditions 22.38% and economic conditions 19.92% . Keywords : Infrastructure, Schools, Economics, and Dropouts
Aprendizaje móvil (m-Learning) y educación médica continua en Otorrinolaringología.

The unlimited possibilities of mobile learning in continuous training in Otolaryngology could give us more advantages of our screen time, achieving a good quality learning with the usefullness of breaking space-time barriers. However, there is still a tortuous way to go to reduce the current limitations that prevent us from having quality mobile continuing medical education.
Vector Quantized Models for Planning

Recent developments in the field of model-based RL have proven successful in a range of environments, especially ones where planning is essential. However, such successes have been limited to deterministic fully-observed environments. We present a new approach that handles stochastic and partially-observable environments. Our key insight is to use discrete autoencoders to capture the multiple possible effects of an action in a stochastic environment. We use a stochastic variant of Monte Carlo tree search to plan over both the agent's actions and the discrete latent variables representing the environment's response. Our approach significantly outperforms an offline version of MuZero on a stochastic interpretation of chess where the opponent is considered part of the environment. We also show that our approach scales to DeepMind Lab, a first-person 3D environment with large visual observations and partial observability.
Project method as a means of individualization of foreign language learning (on the example of modern greek and its dialects)

In the globalized environment of knowledge-based society, competence and skill development acquires great importance to linking education with the labor market. For this reason, the curricula of many countries are reformed, innovative teaching and learning approaches are implemented, and communication in foreign languages is promoted. In this context, the article attempts to look into project implementation at students and teachers motivation and attitudes toward it, as well as project contribution to foreign language teaching and skill development. Literature review focuses on language education policy in the Greek and European context, project-related learning and teaching approaches, project implementation in the digital era. The present article deals with the method of projects as one of the means of individualization of teaching foreign languages on the example of Modern Greek as a foreign language and its dialects. The author emphasizes that the project method demonstrates a certain set of educational and cognitive techniques that allow to solve a problem as a result of independent actions of students with the mandatory presentation of these results. The article emphasizes the method of projects as a modern pedagogical technology that provides a set of research, search, problem-solving methods, creative in nature. Special attention was paid to the experience of modern educators in Greece and Cyprus on the application of the project method in teaching / learning a foreign language on the example of Modern Greek and its dialects. The research raises concerns, provides guidance for project implementation and opens horizons for further research.
Compression of Monochromatic and Multicolored Image with Neural Network

Nowadays we have so much images provided by different types of machines, while we need to store them or transfer to other devices or via internet, we need to compress them because the images usually have large amount of size. Compressing them reduces time for transferring files. The compression can be done with different methods and software in order to reduce their capacity expressed in megabytes as much as tens of hundreds of gigabytes for more files. It is well known that the speed of information transmission depends mainly on its quantity or the capacity of the information package. Image compression is a very important task for data transfer and data storage, especially nowadays because of the development of many image acquisition devices. If there is no compression technique used on these data, they may occupy immense space of memory, or render difficult data transmission. Artificial Neural Networks (ANN) have demonstrated good capacities for lossy image compression. The ANN algorithm we investigate is BEP-SOFM, which uses a Backward Error Propagation algorithm to quickly obtain the initial weights, and then these weights are used to speed up the training time required by the Self-Organizing Feature Map algorithm. In order to obtain these initial weights with the BEP algorithm, we analyze the hierarchical approach, which consists in preparing the image to compress using the quadtree data structure by segmenting the image into blocks of different sizes. Small blocks are used to represent image areas with large-scale details, while the larger ones represent the areas that have a small number of observed details. Tests demonstrate that the approach of quadtree segmentation quickly leads to the initial weights using the BEP algorithm.
Automatic Forged Scene Detection in Advanced Video Using Combined Mpeg-2 and Optical Flow Features

Multimedia forensics has been attracted more attention in recent times due to extensive growth of floating multimedia contents in social media. Passive multimedia forensics plays a key role in identifying forgery contents from the multimedia contents. Furthermore, identifying such forged content in the video is always a hard task. Research on video forensics is still emerging and requires an exhaustive research for advancement. In this research we recommend a novel feature based technique to find forged scene from the video. The process involved in this work is fully automated and uses the combination of MPEG-2 and Optical flow features. Optical flow features is robust in localizing the pixel flow for per frame analysis and motion vectors are spawned from the target video frames. An automatic forge scene detection algorithm is also formed using block matching algorithm. Block matching algorithms was designed to calculate displacements. Further we regard that the proposed combined feature extraction method are advancement to extract forensic features from the motion vectors in advanced video. The entire framework is built using MATLAB R2018a version running in Intel Xeon processor with 64 GB RAM. An experimental result also confirms that the proposed method is better in terms of results and capable of detecting forged frames in the advanced video.
Recoupling Economic and Social Prosperity

This paper explores a new theoretical and empirical approach to the assessment of human well-being, relevant to current challenges of social fragmentation in the presence of globalization and technological advance. We present two indexes of well-being – solidarity (S) and agency (A) – to be considered alongside the standard indexes of material gain (G) and environmental sustainability (E).The four indexes – SAGE – form a balanced dashboard for evaluating well-being. The solidarity index covers the needs of humans as social creatures, living in societies that generate a sense of social belonging. The agency index involves people's need to influence their fate through their own efforts. While "economic prosperity" (material gain) is conventionally measured through GDP per capita, "social prosperity" can be measured through our solidarity and agency indexes, alongside environmental sustainability that is measured through the Environmental Performance Index.The SAGE dashboard is meant to provide a "sage" approach to assessing well-being, since it aims to denote sagacity in the pursuit and satisfaction of fundamental human needs and purposes. Many of the prominent challenges of the twenty-first century, including the dissatisfaction of population groups who feel left behind by globalization and technological advance, may be viewed in terms of a "decoupling" of economic prosperity from social prosperity. We present a theoretical model that provides a new perspective on the welfare effects of globalization and automation. The dashboard is meant to provide an empirical basis for mobilizing action in government, business and civil society to promote a recoupling of economic and social prosperity.
PEMBELAJARAN MEMBACA PERMULAAN PADA SISWA KELAS II SDN 009 CIKADUT DENGAN MENGGUNAKAN PENDEKATAN TEKNIK PERMAINAN MELENGKAPI CERITA

This study aims to examine the pre-reading learning of grade II students using game techniques to complement online-based stories. The research method used is descriptive qualitative. The subjects in this study were students of class II SD Negeri 009 Cikadut, Bandung City with 32 students consisting of 13 male students and 19 female students. The instruments used were teacher and student observation sheets, questions about completing the story, and teacher and student questionnaires. The results showed that there was an increase in the quality of learning when the application of game techniques complemented the story. This is indicated by the mean value of reading comprehension at the beginning of the class of 80.63 which is classified as in the good category, the highest score of students is 96 and the lowest score is 62. Students' learning completeness shows that 84.0% of students get scores above the minimum completeness criteria and 16 , 0% still scored below the minimum completeness criteria value
Creating Robust Coverage for Speech-to-Text Resolution

Today’s speech recognition (ASR) engines are amazing and better than ever, but they’re still not perfect. If you use dictation on your mobile phone, you see the mistakes that can happen. Correctly turning a spoken utterance into text is challenging—and all meaning interpretation and responses that follow depend on it.
A discriminação de gênero na ti e seus impactos na sociedade

As women's participation in the labor market grows, this leads to new aspects regarding gender and power in companies. In this article, we discuss the main reasons why women are a minority in the exact and technological areas and the impacts on society. We evaluate social aspects, which take into account the current patriarchal society that oppresses the feminine gender. In addition, we mention the representativeness of great importance in the mostly male environment. Thanks to it, the scenario is improving a lot, as women feel less intimidated when they enter IT. Also, we will address programs to assist women, ranging from reducing violence against women to valuing work equally. Knowing this, a possible solution for this problem is to motivate this specific group to engage in academic life by the use of programs that encourage this inclusion on the available areas and also in the professional aspects, having the purpose of lowering the evasion from science courses, being that the focus of the article, as well for the filling of positions in the world of technology and science.
SISTEM INFORMASI JURNAL BERBASIS MANAJEMEN PENGETAHUAN DENGAN OPEN JOURNAL SYSTEM (OJS) PADA STT BINATUNGGAL BEKASI DENGAN METODE SECI

Knowledge management is very important at this time, because knowledge is a very valuable asset, both in the company, government agencies or educational institutions. The same is true for STT Binatunggal Bekasi, which continues to strive to manage the knowledge generated from scientific research and research processes. In its implementation, STT Binatunggal Bekasi still experienced difficulties from the submission of articles, editing process, review process, even to the publication stage.This is where the author tries to solve the problems that exist at Bekasi Binatunggal STT, by developing a journal management system with the Open Journal System, which uses the PHP programming language and MySQL Database. by using the SECI method. Hope the writer can reduce the problem, especially in solving the problem.
Testing and Measuring Voice System Performance

So you’ve built your voice system and applied everything you’ve learned. Now you’re ready for the rest of the world to flock to your implementation. How do you bring it to the world without it breaking in some horrid way? Will you know if people are successful interacting with your VUI or like talking to it? If you followed all the “rules,” why do you even need to worry about any of this?
Convergent Aeronautics Solutions Project: QTech

Overview of QTech work, assessing the feasibility of using quantum computation and communication to assure the availability of the UAS Traffic Management (UTM) network against communication disruptions.
Indian Currency Identification Using Image Processing

The Reserve Bank is the one which issue bank notes in India. Reserve Bank, changes the design of bank notes from time to time. Reserve bank uses several techniques to detect fake currency. Common people faces many problems for the fake currency circulation and also difficult to detect fake currency, suppose that a common people went to a bank to deposit money in bank but only to see that some of the notes are fake, in this case he has to take the blame. As banks will not help that person. Some of the effects that fake currency has on society include a reduction in the value of real money; and inflation due to more fake currency getting circulated in the society or market which disturbs our economy and growth - an some illegal authorities an artificial increase in the money supply,a decrease in the acceptability of paper money and losses. Our aim is to help common man to recognize currency for originality. Proposed system is based on image processing and makes the process automatic and robust. Shape information are used in our algorithm. Original Note Detection Systems are present in banks but are very costly. We are developing an image processing algorithm which will extract the currency features and compare it with features of original note image. This system is cheaper and can provide accuracy on the basics of visual contents of note. So, as an output, people will get information provided the note image is original or duplicate.
Формирование учебной мотивации на уроках физики с использованием инновационных технологий

Education around the world is constantly developing and improving, teaching standards are changing, the content of education is changing, and the requirements for a modern teacher are increasing. The Federal State Educational Standard puts at the forefront new approaches and requirements for the educational system as a whole and for each individual subject in particular. The introduction of extracurricular activities, design technologies, an innovative approach poses new challenges for the entire education system and for the modern teacher, the school and the education system itself is becoming more and more innovative in development. The development of hardware and software, the increasing introduction of network communications into the educational process leads to the introduction of innovative technologies. The implementation of which is now the most optimal on the basis of actively developing and widespread information technologies. The teacher receives an excellent tool and teaching tool, which, in skillful hands, allows you to change the approaches to the transfer of the studied material, test instruments and change the emotional and psychological climate in the lesson. The article examines various innovative technologies and the possibilities of their adaptation to the use of modern teaching aids, highlights the main options for the digital configuration of the information educational environment for organizing the use of innovative technologies in physics lessons, offers methodological recommendations for conducting physics lessons and using innovative technologies to increase the motivation of learning. The greatest attention is paid to the technologies that were revealed in the results of the questionnaire survey of physics teachers and the use of which helps to increase the motivation of students to study physics, such as game technologies; portfolio technology; method of projects. Examples of innovative developments for physics lessons have been developed, aimed at increasing the motivation of teaching physics by means of innovative technologies and using information technologies.
MENINGKATKAN HASIL BELAJAR IPA SISWA KELAS V MELALUI MODEL KOOPERATIF TYFE NHT (NUMBERED HEAD TOGETHER) DI SDN BOJONGSALAM

This research is based on the low learning outcomes of V students at SDN Bojongsalam. Seeing these problems, it is necessary to improve efforts. The purpose of this study is to describe how the activities of teachers and students, improving learning outcomes and student responses to the cooperative model of NHT time. This study uses a classroom action research method (PTK) which is carried out in two cycles with research procedures that include: planning, implementing piercings, observing, and reflecting. The instruments used in this study included test questions, interviews/field observations, and teacher and student performance instruments. Based on the results of data analysis, it can be concluded that the NHT-type cooperative model can improve student learning outcomes. There was an increase in two cycles in the first cycle of 70% and the second cycle of 82.45%.