Reviewerly/exHarmony huggingface dataset:
PENERAPAN STRATEGI THINK TALK WRITE UNTUK MENINGKATKAN HASIL BELAJAR IPA MATERI KEANEKARAGAMAN MAKHLUK HIDUP PADA SISWA KELAS VIID SMP NEGERI 6 JEMBER TAHUN PELAJARAN 2016/2017

Abstract.Think talk write learning strategy is learning where students are given the opportunity to start learning by understanding the problem first, then being actively involved in group discussions, and finally writing in their own language the learning outcomes they get. The purpose of this research is to improve the learning outcomes of Science Students in Class VIID of SMP Negeri 6 Jember with think talk write learning strategies. This research method uses a qualitative approach, this type of research is a type of classroom action research (CAR). The class action in this study was carried out with 2 cycles. Each cycle carried out improvements to be achieved through the reflection phase. The results showed that the application of the think talk write strategy could improve the learning outcomes of Grade VII D. Cycle 1 students achieved a minimum completeness criteria of 72.5%. whereas in cycle 2 it was 87.5% Keywords: Think talk write strategy, science learning outcomes, diversity of living things
Book review: Lithic technological analysis: theory and practice

Lithic Technological Analysis: Theory and Practice&#x0D; by Yinghua Li&#x0D; Social Sciences Academic Press (China), 2017, pp. 459. ISBN 978-7-5201-0787-7&#x0D; https://www.ssap.com.cn/c/2017-07-12/1057538.shtml
C ++ for Cloud Computing Application in Elementary Schools on Covid-19 Pandemics

The development of Information and Communication Technology (ICT) today has had a broad impact on individuals involved in teaching and learning activities in the elementary school environment.In these development activities, the determination of social distancing is put forward in order to prevent Covid 19 from taking place and infecting other individuals.For this reason, this review article discusses more about the use of C ++ based programming to design cloud-based applications that prioritize programmer skills combined with collaboration with teachers as application developers.Integration between teachers and application developers is the starting point of application development that provides opportunities for students to interact with activities that open up opportunities in the user experience to create skills and ease of use with user friendly principles.To develop this capability, an integration between C ++ and Php My Admin is needed which is related to the skills to make application design easier by using the notepad application that is built in various types of operating system applications both Windows and Linux.
Application Of Rules On Distinctiveness Of Trademark To Works Of Science

Many scientific works (especially in the field of humanities and social sciences) are not distinguished by the uniqueness of form. This means their lack of originality (as uniqueness), which may cast doubt on the protection of such works by copyright. At the same time, in practice, works of science often have a distinctive ability in the eyes of researchers. The sign of “fame” of the elements of a work is used by the law on trademarks to endow non-original elements with the properties of a protected copyright object. Thus, a work with a low level of originality can acquire distinctive ability and as a result receive protection as a full-fledged object of copyright. There is a need to take into account, when determining the protectability of a copyright object, its distinguishing ability. The analogy of the rules on trademarks as applied to works of science (analogy of law) in this case is appropriate and necessary.
Prototyping a Micro-pluriverse: Performed Cosmologies to Decolonize Augmented Reality

How do we apply theories of decolonization to an emerging technology such as augmented reality (AR)? We explain how our co-creative pilot laboratory contributes to efforts in decolonizing augmented reality through embodied prototyping, and designing pluriversality in AR to “augment” de-centered narratives. Our initial methods included facilitating reading discussions and affinity mapping (to transpose theories into action). “Thinking-feeling” (Escobar, 2015) and “power-geometries” (Massey, 1991) became a means to engage with our own mental models and constructs, as they relate to colonization. This led us to build a series of prompts organized into a “Cosmology Toolkit” (Escobedo, Kris & Sweidan, 2020). We conducted field research in our local geography, as a means to critically engage with space and address historic psychogeographies. Using TorchAR (a free, proprietary AR design tool), we performed expressions of our personal cosmologies, which were recorded as videos and layered in situ, to prototype a micro- pluriverse.
ANALYSIS AND PROSPECTS FOR THE PREPARATION OF FUTURE TEACHERS OF THE INTEGRATED COURSE "NATURAL SCIENCES"

An analysis of four educational programs for the training of teachers of natural sciences in higher education institutions is presented in the paper. The question of developing educational programs for pre-service teachers of natural sciences and introducing integrated courses in the study of biology, physics and chemistry after conducting a new specialization in the educational branch "014 Secondary Education" needs to be studied. We have analyzed the characteristics and the current state of introducing educational programs into the educational process. An analysis of the normative framework that regulates the work of the teacher is also made. In the work the framework of the components of professional activity of the teacher is considered in terms of qualification characteristics. The considered professional standards and qualification characteristics made it possible to conclude that the educational programs correspond to the normative documents and modern requirements for the professional activity of the teacher. The analysis of four educational programs by sections is carried out. This made it possible to compare the list of their components and the logical sequence of courses and to determine their common and distinctive features. The existence of the integrative component of each program and its conformity to the formation of the professional competences of future teachers was established. The use of problem-oriented learning technology can form the subject competence, formulated in accordance with the basic subjects: physics, chemistry, biology, natural science. Subject competence in science is an integrative part of the course. They are based on the formation of the integrity of representations of nature, the use of science and information on the basis of operation of the basic general laws of nature. The classification of integrated courses is made on the basis of the nature of the relationships between disciplines and the degree of their integration. The existence of integrative components in the list of the educational-professional / scientific program and their conformity with the classification of the integration of courses is established. We also defined the disciplines of influence on the formation of integrative competences of pre-service teachers of integrated courses of natural sciences. Key words: STEM-education, STEM-learning, educational programs, interdisciplinary, pre-service teachers, natural and mathematical disciplines.
Quantitative Comparison of four brain MRI segmentation Techniques (Dept.E)

Magnetic resonance jmaging (MRI) is an advanced medical imaging technique providing rich information about the human soft tissue anatomy. The goal of brain magnetic resonance image segmentation is to accurately identify the principal tissue structures in these image volumes. There are many methods that exist to segment the brain. One of these, conventional methods that use pure image processing techniques are not preferred because they need human interaction for accurate and reliable segmentation. Unsupervised methods, on the other hand, do not require any human interference and can segment the brain with high precision, in the light to this fact, we in this paper compare the performance of our image segmentation techniques in the subject of brain MR image. Results show that fuzzy Kohonen's Competitive Learning Algorithms performs better in terms of segmentation accuracy, while FCM performs better in terms of speed of computation
Intelligent Educational Ecosystems

In this article, the author explores modern approaches used in distance education, defines the problems of distance learning, such as the problem of feedback, relevance, the search for the necessary courses, as well as the importance of courses, taking into account the competency-based paradigm of knowledge acquisition.During the research, the author examines ideas that can improve feedback and the quality of knowledge gained, personalize the subjects studied.The author suggests also to use job and CV datasets to find important statistic data required for these improvements.The idea of individual educational paths is being studied, which are formed depending on individual skills, student cognitive abilities as well as his goals.The conceptual model of knowledge in the form of an overlay network is considered.The analysis of current solutions that can be used to build individual educational trajectories is carried out, in particular, a differentiated Dictum Factum 163 approach, the decision tree method, probabilistic and graph approaches were studied, their pros and cons were determined.As a result, the concept of an intellectual educational ecosystem is being created.The structure, metrics, components of the educational ecosystem are described.Based on this concept, the author planned to develop a DSS to build personal recommendations in distance education using modern methods of machine learning and artificial intelligence.
Studi Spasial Kejadian Malaria Serta Pengaruh Kepadatan Plasmodium sp. Terhadap Anemia Dan Trombositopniapada Penderita Malaria Di Kabupaten Kepulauan Talaud

&#x0D; &#x0D; &#x0D; &#x0D; &#x0D; Malaria affects almost all components of the blood, and thrombocytopenia is one of the haematological abnormalities encountered and has received much attention in the scientific literature. Plasmodium infection can cause abnormalities in the structure and function of platelets. This study aims to spatialize/map the spread of malaria events, locations and physical and chemical environmental conditions of breeding places of malaria vectors and analyze the effect of Plasmodium sp density on anaemia and thrombocytopenia in malaria sufferers in Talaud Islands Regency in 2018. The research sample was malaria sufferers in April. Until August, who came to check at the Community Health Center in Talaud Islands Regency to obtain data on Plasmodium sp density, anaemia and thrombocytopenia, then coordinate data on the homes of malaria sufferers and Anopheles sp habitat and the physical and chemical environmental conditions of Anopheles sp habitat that were surveyed using tools Global Positioning System (GPS) is processed using the help of Arcgis 9.3 program. To analyze the effect of plasmodium sp density on anaemia and thrombocytopenia using Chi-square test statistics. The results of the study The spread of malaria incidence and the distance of Anopheles sp habitat with malaria sufferers' homes in Talaud Islands Regency in 2018 were spelt out. Physical environmental conditions (temperature and humidity) and chemical environment (pH and salinity) in the habitat of Anopheles sp. in residential areas of malaria sufferers are Temperature 27.9 - 29.8 0c, humidity 70.5% - 80.4%, pH in the range 5.6 - 8.1 and salinity 0.04 - 1.35 ‰. The density of Plasmodium sp in 34 malaria sufferers consisted of 18 cases +, 10 cases ++, 5 cases +++ and 1 case ++++. Statistical test results have a relationship between Plasmodium sp density against anaemia and thrombocytopenia in malaria sufferers in Talaud Islands District in 2018. &#x0D; &#x0D; &#x0D; &#x0D;
Large Dataset Classification Using Parallel Processing Concept

Much attention has been paid to large data technologies in the past few years mainly due to its capability to impact business analytics and data mining practices, as well as the possibility of influencing an ambit of a highly effective decision-making tools. With the current increase in the number of modern applications (including social media and other web-based and healthcare applications) which generates high data in different forms and volume, the processing of such huge data volume is becoming a challenge with the conventional data processing tools. This has resulted in the emergence of big data analytics which also comes with many challenges. This paper introduced the use of principal components analysis (PCA) for data size reduction, followed by SVM parallelization. The proposed scheme in this study was executed on the Spark platform and the experimental findings revealed the capability of the proposed scheme to reduce the classifiersâ€™ classification time without much influence on the classification accuracy of the classifier.
A Long-Term Study of Software Product and Process Metrics in an Embedded Systems Design Course

Abstract This “complete research” paper will describe a 12-year study of the software development metrics collected from students in an embedded systems design course. The authors developed and taught a senior-level course in embedded systems design for the last 15 years. The course features a development process that emulates industry wherein students work in small design teams to design, fabricate, and test a product to a design specification using a variety of hardware peripherals and a multitasking operating system. Student progress is monitored by a series design milestones during the semester in which the students populate their PCB, bootstrap the processor, build the operating system, interface with hardware components, develop new operating system services, write and test application code, and interconnect with other students’ designs. Design milestones are progressive in that each subsequent design milestone is predicated on the successful completion of previous milestones. Furthermore, the student design process includes formalized hardware and software design inspections roughly based on IEEE Standard 1028. Design inspections are held before prototyping begins and strives to curtail the far too common cycle of develop, test, change, and test again. The design inspections serve as a convenient time for a number of software product and process measures described in IEEE Standard 982 to be collected. The quantitative product and process measures document the nature, origin, and other vital characteristics of each design defect and are frequently used in industry. Furthermore, data obtained in design reviews can be used to improve the instruction quality, track the maturity of the student design skills, and prompt relevant classroom discussions. Examples of using the software product metrics in design process monitoring, analysis, and estimation are given. Software development process and software quality metrics collected over the twelve-year period indicate that student output and productivity are within ranges reported by industry studies for professional programmers.
Knowledge-based economy: an analytical review of the literature

Currently, the creation and development of high technologies are becoming an independent area of scientific knowledge and technological base for the transformation of the economy. However, in practice, there is a problem of shortfall in financial resources and status determination. The central idea of this article is to analyze the existing literature on research in the field of knowledge-based economics. The central idea of this article is to analyze the existing literature on research in the field of knowledge - based economy. In particular, we look at the existing literature related to the measurement of knowledge-based economy, with an indication of the most influential scientists, journals, and related publications. The document provides some answers to questions from leading journals with documents related to research in the field of knowledge-based economy, a number of articles with the highest number of citations, or a list of countries with the most research in the field of knowledge-based economy. This article has both academic and political value. From a scientific point of view, the study identifies scientists who have made the greatest contribution to research in the field of knowledge-based economy. For policy makers, this document is a report on existing practices and good practices.
ANALISIS PENERAPAN METODE INDEX CARD MATCH DALAM PEMBIASAAN LITERASI BAHASA PRODUKTIF SISWA SEKOLAH DASAR

The research carried out aims to describe the results of the productive language literacy of grade 1 primary school students by applying the index card match method and the results of student responses. The type of research used is Classroom Action Research which consists of two cycles. The subjects of this study were students of grade 1 SDN Panyuran 1, Palang District, Tuban Regency. Data collection techniques using test techniques, questionnaires, and documentation. The research instruments used included test sheets, questionnaires. The data analysis technique used is descriptive quantitative.Based on the results of research, the results of productive language skills of students in grade 1 primary school in the first cycle were 67.26% and 87.2% in the second cycle. The results of student’ responses given at the end of the cycle of 98.56% are classically.
Intercultural research into the motives of interaction in the “teacher-student” dyad (on the basis of secondary schools in Russia and Tajikistan)

The article presents the results of research into the motives and attitudes of secondary school teachers of in Russia and Tajikistan, as well as educational motivation and motives for teaching students in the Russian and Tadjik secondary schools.
Genetic Programming-Based Code Generation for Arduino

This article describes a methodology for writing the program for the Arduino board using an automatic generator of assembly language routines that works based on a cooperative coevolutionary multi-objective linear genetic programming algorithm.The methodology is described in an illustrative example that consists of the development of the program for a digital thermometer organized on a circuit formed by the Arduino Mega board, a text LCD module, and a temperature sensor.The automatic generation of a routine starts with an input-output table that can be created in a spreadsheet.The following routines have been automatically generated: initialization routine for the text LCD screen, routine for determining the temperature value, routine for converting natural binary code into unpacked two-digit BCD code, routine for displaying a symbol on the LCD screen.The application of this methodology requires basic knowledge of the assembly programming language for writing the main program and some initial configuration routines.With the application of this methodology in the illustrative example, 27% of the program lines were written manually, while the remaining 73% were generated automatically.The program, produced with the application of this methodology, preserves the advantage of assembly language programs of generating machine code much smaller than that generated by using the Arduino programming language.
Impact of E-marketing Tools on Customer Satisfaction during Covid-19: A Case of Five-Star Hotels in Erbil City, Iraq

This research aimed to study the role of electronic marketing in five-star hotels in achieving customer satisfaction in times of crisis, specifically focusing on the Corona virus crisis.How people make or cancel reservations at five-star hotels in Erbil city of Iraq is changed as well.And finding out how electronic services at these hotels correlate with satisfaction of the hotel guests.This research studied Search Engine Optimization (SEO), Social Media pages, and website design of the hotels and how these tools impact their customer satisfaction.Data was gathered from 100 guests of these hotels and was analyzed via SPSS.The results show strong and positive correlation between SEO and website design with customer satisfaction.Social media moderately and positively correlates with customer satisfaction.
Medial Representation Based Font Recognition Method

In this article, a method of font recognition based on the medial representation, integrated into the font recognition system based on a digital image of text is described. This system searches for similar fonts, ordered by similarity, to the font shown in the user-entered text image. The system is based on solving two machine learning problems: text recognition on an image and font recognition on a text image. To solve the first problem, we use the concept of a mathematical model of a grapheme based on a continuous medial representation of a symbol. The solution to the font recognition problem is based on the concept of the morphological width of the figure, which is also closely related to the medial representation. We propose a method for using the morphological width function to find the most similar fonts from a known database. The experiments show high accuracy of searching for the most similar fonts. For a database consisting of 2543 fonts, the accuracy is 0.991 according to the metric top@5 for correctly recognized text in the font size of 100 pixels in the image.
Reliability of fine needle aspiration biopsy in diagnosis of breast lump

Background: breast cancer is commonest cancer globally and the 1st cancer in Iraq among females, its management and prognosis depend on early diagnosis, the traditional method was excisional biopsy which is expensive and invasive leading to delayed diagnosis, FNAB is cheap nom invasive more acceptable to women, Aim of the study: to test the reliability of FNAB in preoperative diagnosis of breast lump.&#x0D; Methodology: This is a retrospective study of 204 cases, 102 breast cancer cases and 102 benign breast lesions, taken between Jan. 2017 – Nov. 2017. The sample taken from the breast cancer early detection center in Al-Alwiyaa maternity teaching hospital, during the year 2017&#x0D; Results: Invasive ductal carcinoma (IDC) was found among 82(80.4%) of malignant cases, ILC was 14(13.7%) , fibroadenoma was the most common benign lesions 51(50%), The absolute sensitivity was 96% , specificity 100%, with 4% false negative the accuracy was 98%. The complete sensitivity was 96%, and specificity was 83%, with 4% false negative and 17% false positive cases, the accuracy was 90%,&#x0D; Conclusion and recommendation: fine-needle aspiration biopsy (FNAB) is accurate for breast lump diagnosis. With high sensitivity and specificity. FNAB is a good screening method and help in an improvement of treatment planning
The Effects of GeoGebra on Problems Solving Skill in the Integral Calculus

The usefulness of mathematics in the 21st century have been increasingly perceived by the public.Therefore, mathematics is increasingly needed by all people and by society as a whole.In the industrial era now 4.0, there is interaction between human and machine, particularly a computer.One computer application that can be used in problems of mathematics is GeoGebra.GeoGebra is a software dynamic for math, load the feature Geometry and Algebra are mutually connected, and very helpful in understanding and facilitating the teaching and learning of mathematics.The purpose of this study was to determine the effects of GeoGebra on problem solving skills in Integral Calculus.The method of research is quasi-experimental.The research population is the students of study program of mathematics education of one of the private universities in Garut, with a sample of the research is the students of level three.The results of this study concluded that the application of GeoGebra can improve most of the students in the ability to determine area between two curves and determine the volume of objects rotate and create a simulation object play in the Integral Calculus.