Reviewerly/exHarmony huggingface dataset:
Analisis Pembelajaran Ips Kelas V Tema 6 Subtema 1 Pembelajaran 1 Dengan Menggunakan Strategi Dua Tinggal Dua Tamu Dan Card Sort

The author analyzes social studies learning using the Two Stay Two Stray strategy and the Card Sort strategy in the Thematic Book of Class V Theme 6 Human and Animal Organs. The underlying foundation is the lack of engagement strategies with a HOTS mindset. Social studies material in collaboration with these 2 learning strategies is oriented to the HOTS mindset. Methodology This research uses qualitative research with an inductive approach. Data was obtained by observation and interviews as well as important notes. The research location is at MIS Al Islamiyah Bangkar, Muara Uya District, Tabalong Regency, South Kalimantan Province. The subject in this study was the homeroom teacher of MIS Al Islamiyah Bangkar. The application in learning the two-stay-two-guest strategy is asking to form groups of 4 people. Their task Two people visit another group while the other two stays in the group to entertain other visiting groups. while the card sort strategy uses 2 media, namely cardboard as a sorting medium and a magic bag to shuffle the material when it comes to the fore. The implication is in interesting learning activities and a HOTS-oriented mindset. Strategy Two, there are only two guests and the Card sort strategy has a good correlation with basic competencies and indicators in the thematic book Theme 6 Human and Animal Organs, sub-theme 1 Human Body learning 1. Applying these 2 strategies has advantages in responsibility, cooperation, solving problems, learning motivation, and learning evaluation. These two strategies have the advantage of creating high thinking so that students are active in thinking. Students can develop their abilities or ways of thinking so that they can master higher-order thinking skills (HOTS). Keywords: Social Studies Learning Analysis, Strategy two stay two guests, strategy
Arcade game testing of generalized cognitive maps in humans

Humans use generalized cognitive maps (GCM) for navigation in dynamic environments. Mechanisms of the generation of GCM in the brain are not well understood. Nevertheless, there is a mathematical model that allows their simulation. Here we propose a methodology for testing the GCM concept in behavioral experiments and comparing results with the model. We perform experiments with human subjects playing a specially design arcade computer game. The resulting trajectories of objects controlled by humans on a PC screen are then compared with those predicted by the GCM model. We show that human trajectories exhibit significant similarity with the model trajectories in dynamical scenes with objects moving at high speed. If the speed of the controlled object decreases, then men and experienced users maintain a similarity with the model predictions, while women and untrained subjects deviate significantly.
Digital Image Noise Reduction Application with Mean And Median Filter Method

Images such as photos and so on, for some people are memories that carry a thousand meanings. As mentioned in a word of wisdom, one word only means one word but a picture represents a thousand meanings. Even though at present, the position of the image has been shifted by moving images such as videos, it's just that the use of images as a medium for storing an event remains in a strategic position. In this study, the noise reduction method is used as an image improvement method. Based on the tests carried out, it can be concluded that Noise is an image or pixel that interferes with image quality. The higher the ProbNoise value (noise density) given, the lower the PSNR value produced and the greater the MSE value obtained,
The Distribution Patterns of Valency-changing Verbs: An Approach of Quantitative Linguistics

The present study attempts to explore the distribution patterns of the valency-changing verbs from the perspective of quantitative linguistics. We took authentic spoken language data as the research materials. The corpus used in this paper is a self-built spoken English corpus containing about 21,000 words. We half-manually annotated the corpus with the help of SpaCy, a natural language processing tool. According to the annotation results and statistical data, we obtained a total of 217 valency-changing English verbs and 248 sentence components governed by them. After analysis, the current study came to the following conclusions: First, bivalent verbs are most frequent among the three types of valency-changing verbs; second, after fitting all the language data to different probability distributions, we found that the rank-frequency distributions of all the valency-changing English verbs with different numbers of obligatory arguments obey the power law, and the frequencies of bivalent valency-changing verbs obey other kinds of distributions such as the mixed Poisson distribution.
Distance education: models, implementation levels and implementation challenges

The article aims to consider the problem of implementing distance learning at the micro-meso and macro levels. In the study, the authors rely on a systematic approach. Using the example of studies of the results of the introduction of distance learning during the pandemic, the problems faced by educational organizations at the regional level are shown. The actualization of the need for regional analysis led the authors to the conclusion that the issue is insufficiently developed at the macro level of administration of the process of implementing distance learning. The article also raises questions about the quality of “offline” and “online” training formats, the problem of commercialization of education and the transformation of university types as associated with unjustified expectations of the effectiveness of the introduction of distance learning format. The materials presented in the article will be of interest to those specializing in the field of education management: heads of educational organizations, employees of educational management bodies at all levels.
Developing a Google Chrome Extension for Detecting Phishing Emails

Phishing is a fraudulent attempt where attackers trick the victims into disclosing sensitive information under pretenses. This research project aims to develop a Google Chrome extension to detect phishing emails. We firstly collected a number of phishing email samples. Then we used text mining techniques to find out the words that are important in phishing emails. Next, we developed a classifier model that the Chrome extension will use to detect phishing emails using those words. The next step was to test the extension with phishing email samples and standard (non-phishing) email samples. After that, the evaluation metrics were collected. We found our extension was able to identify phishing emails and non-phishing emails with a relatively high degree of accuracy.
Prediction of Election by Twitter

Nowadays social media like Twitter and Facebook etc. is one of the key players. Twitters are micro blogging sites by which users sent their opinions and views in brief. The information generated by one user can be seen by everyone. Therefore to analyze twitter sentiment can be a crucial task. For this task, we have used various approaches like novel based approach and machine learning and many other rules like context awareness are used for the detection of public opinion and prediction of results. We are studying the user tweets during elections. Meaningful tweets are collected on a definite period.The feasibility of the developed classification model is identified by our proposed work to identify the political orientation on the tweets and other user-based features. The technique for the collection of tweets in time has played an important role. When the outcome of applied technique competes with survey agencies result was published before elections result.
Tracking Control Design for Positive T-S Fuzzy Systems Under H∞ Performance

This paper is dedicated to study the tracking control problem of the positive T-S Fuzzy systems under H∞ performance. Compared with general systems, the limitation of the positive systems will bring non-convex conditions into the stability analysis. In order to overcome the challenge brought by the transformation of non-convex conditions into convex conditions, a feasible solution is presented. In addition, by using the piecewise-linear membership functions (PLMFs) technology, more effective information of membership functions (MFs) is introduced, which effectively weakens the conservativeness of the stability conditions and achieves satisfactory tracking results. Ultimately, a simulation example is shown to confirm the reliability of the design method.
The Implementation of Collaborative Writing Technique to Improve Students’ Writing Performance and Soft Skill

The purpose of this study was to look into the use of collaborative writing techniques to help higher secondary students enhance their writing skills and soft skills. This was done based on the findings of earlier studies that showed the effectiveness of collaborative writing techniques in increasing students' writing abilities and soft skills development. Students in Grade 10 at Sekolah Tunas Bangsa Kubu Raya participated in the study, which used a mixed-methods research methodology. For qualitative data, an observation checklist and field note was used, while for quantitative data, a questionnaire and writing tasks were used. The researchers discovered that collaborative writing was effective in improving students' writing proficiency and soft skills after they evaluated and calculated the data. (1) improvements in writing task mean scores from 78.67 in Meeting 1 to 87.13 in Meeting 3; (2) students' responses on a questionnaire about their writing ability and soft skills reached 92 percent in elaborating ideas and 93 percent in gaining self-esteem and confidence; (3) improvements in observation checklists that were performed excellently (scale 4) by the observers on the third meeting; and (4) the note taker's complimentary comments on the field notes about the pupils' writing abilities and soft skills As a result of this data, it is suggested that collaborative writing techniques be used with higher secondary students to improve both writing performance and soft skills.
Research on the Tourism Industry Impact of the National Games Based on Grayscale Models

In this paper, gray prediction is used to predict the later development data of the year without the participation of the National Games, which is compared with the real value of the later year. Then fit all provinces with tourism data in China with the data in Shaanxi Province, and select the better fitting provinces Jiangxi, Shanxi and Yunnan as the standard to test the gray prediction results. For the area substitution error in gray prediction, Lagrange interpolation is used to calculate a new background value for optimization. Finally, the map line of tourism development growth rate is drawn, and the impact of the National Games on Shaanxi tourism is -15%.
Penerapan Strategi Pembelajaran Think Talk Write (TTW) Dalam Upaya Meningkatkan Hasil Belajar Muatan Pelajaran Matematika Siswa Kelas VI Sekolah Dasar Negeri 4 Seraya Barat

This research is motivated by the low learning of grade VI students of SDN 4 Seraya Barat in the content of mathematics lessons, this is thought to be caused by several factors, including: learning that is still theoretical so that students will easily feel bored and bored in receiving learning and in teacher learning more dominate the activity, so that it can eliminate students' enthusiasm for mathematics learning material. This classroom action research was carried out in two cycles with the aim of improving learning outcomes of mathematics lessons. The subjects of this study were 18th graders of SDN 4 Seraya Barat, consisting of 7 female students and 11 male students. Data were collected by learning outcomes tests. The collected data was then analyzed by qualitative descriptive statistics. The results showed that the application of the Think Talk Write (TTW) learning strategy in learning mathematics content could increase student learning outcomes, student learning outcomes in cycle I were 71.85 and student learning outcomes in cycle II were 84.07. Thus there was an increase of 12.22 from cycle I to cycle II.
A filtering problem: SAR speckle filtering

Chapter Contents: 10.1 Introduction 10.1.1 Speckle filtering motivation 10.1.2 Speckle reduction 10.1.3 Speckle filtering examples 10.2 Case study: Sentinel-1 speckle filtering 10.2.1 Multi-modal speckle filtering 10.2.2 Pure SAR strategy 10.2.3 CNN model for SAR speckle filtering 10.2.4 Network architecture 10.2.5 Loss function selection 10.3 Evaluation metrics 10.3.1 Peak signal-to-noise ratio 10.3.2 The structural similarity index 10.4 Results 10.4.1 Data preparation 10.4.2 Test on small patches of a Sentinel-1 image 10.4.2.1 Test on the training dataset 10.4.2.2 Test on validation dataset 10.4.2.3 Comparison with the state of the art 10.4.3 Test on a whole Sentinel-1 image 10.5 Conclusions References
The Learning Effectiveness of Nurses Participating in a Simulated Management of Fall Risk Factor Assessment

Background: Fall injuries are common causes of dangerous inpatient conditions and should be prevented in neurosurgery inpatient wards.An adequate survey and evaluation of risk factors for falls is therefore crucial for the development of prevention and intervention strategies in inpatient care.Purpose: To investigate the learning effectiveness of a simulated management system for improving nurses' fall risk assessments and management.Method: A total of 12 nurses at a hospital in one health system in northern Taiwan who had ever used a "fall risk factor assessment" tool for patients undergoing neurosurgery were enrolled in this quasi-experimental study.A single group with a pre-test and post-test (6 weeks after intervention) approach was constructed.For our simulated model of a fall risk factor assessment, we used a strategy of teaching/practice on the simulated model.The outcomes were evaluated with a "questionnaire for fall risk factor assessment".Results: The within-subject effects indicated notable improvement in knowledge of fall risk factors after our strategy of teaching/practice with simulated model training was implemented.The mean scores on knowledge of fall risk factors were 3.25 and 9.13 on the pre-test and post-test, respectively.We found a remarkable improvement in the post-test scores compared with the pre-test results among participants who implemented our training strategies.Conclusion: The simulated method for fall risk factor assessment with a teaching/practice training process demonstrated a significant and favorable benefit on learning outcomes, especially as a new staff training program.We recommended incorporating a simulated system with teaching/practice into clinical nursing education and training strategies to improve training courses.
Optimization of the Use of Information Technology in Learning Administration at SDN Hurip Jaya 03

Information Technology have to be an enabler of every activity. With the information technology, the effectiveness and efficiency of work shoultd be increase. The obstacles faced, with the existence of information technology, can be an alternative solution. SDN Hurip Jaya 03 Babelan is a school located on the north coast of Bekasi Regency. This school has a challenge where cable internet access from Provider has not yet entered so that educators and education staff, students use independent resources for internet access. Administrative and learning activities already use computers but have not utilized cloud applications such as google forms, google classroom, and shorter url applications for learning e-learning. The educators and education staff are also still working with computers in typing so that their work is less effective. The solution we provide is to share knowledge, knowledge, experience and resources in providing solutions to existing problems. The activities that have been carried out are providing wifi modem and usb wifi resources for internet access, training in fast typing the 10 finger method, using google forms and google classroom for administration and learning, as well as the bit.ly application for naming links to make reading easier. We hope that if the material presented can be trained and applied seriously, it will certainly be useful in supporting administrative and learning activities.
The Impact of High School Program Reform on First-Year University Students’ Academic Performance. Case Study: Biology

The student transition from high school to university is a complex process in which various factors operate. One of these factors is the degree of the students’ academic preparation in certain subjects. This article analyzes the impact of this factor on the students’ success in the first year of university studies, in the conditions when the subject program in high school has been reformed. This impact on the students’ success, which is expressed both in the degree of academic preparation and in the students’ attitude in the relevant subject, has been assessed employing statistical analysis. The analysis covers a period of 3 years (2017-2020), and is based on a sample of first year students of the Bachelor degree in Biology. The results of the questionnaire, conducted with first year university students, show the impact of their high school academic preparation on the success they have in the first year of university. This success is measured by assessing the change in average grade and their pass rates. Evidence of the impact of this factor in teaching has helped to know in detail these intermediate phases of this process. The built model makes it possible to analyze the impact of the high school curriculum reform on the students’ success, creating the opportunity for further improvements. Despite the fact that the object of the study is the Biology curriculum and the evaluation of the impact in academic success of students who graduated from high schools where a competence based curriculum was implemented, this methodology can be used for the study in other subjects, especially life sciences.
Sentiment Analysis Of Energy Independence Tweets Using Simple Recurrent Neural Network

Sentiment analysis is part of computational research that extracts textual data to obtain positive, or negative values related to a topic. In recent research, data are commonly acquired from social media, including Twitter, where users often provide their personal opinion about a particular subject. Energy independence was once a trending topic discussed in Indonesia, as the opinions are diverse, pros and cons, making it interesting to be analyzed. Deep learning is a branch of machine learning consisting of hidden layers of neural networks by applying non-linear transformations and high-level model abstractions in large databases. The recurrent neural network (RNN) is a deep learning method that processes data repeatedly, primarily suitable for handwriting, multi-word data, or voice recognition. This study compares three algorithms: Simple Neural Network, Bernoulli Naive Bayes, and Long Short-Term Memory (LSTM) in sentiment analysis using the energy independence data from Twitter. Based on the results, the Simple Recurrent Neural Network shows the best performance with an accuracy value of 78% compared to Bernoulli Naive Bayes value of 67% and LSTM with an accuracy value of 75%. Keywords— Sentiment Analysis; Simple RNN; LSTM; Bernoulli Naive Bayes; Energy Independence;
English Learning Practices

Adequate facilities and infrastructure are not yet ready so that learning cannot run smoothly. The purpose of this study was to analyze the process of learning English. This research is qualitative, descriptive research that tends to use analysis and emphasizes process and meaning more. The approach used in this study is phenomenological. Data collection methods used in this study were interviews, questionnaires, and observation. The instrument used to analyze the data is a questionnaire. The data analysis technique used is descriptive qualitative analysis. The results of this study are that four critical factors support the smooth running of the English learning process: the principal, parents of students, students, and educators. The role of the principal, especially the support of the principal in the form of providing facilities and infrastructure, is an essential factor because, without this learning, it will not be able to run smoothly. The role of parents is also essential because their assistance to students will be able to provide a learning atmosphere. Student motivation is also an essential key to the success of learning English. This research with the results wants to show that various parties pay attention to four main factors for the smooth teaching and learning activities process.
An overview of hybrid random number generators

The generation of random numbers is a important topic in cryptography. Random number generators are bradly divided into two categories: random number generators(RNGs) and pseudo-random number generators(PRNGs). If the PRNGs werw intensively studied in the specialized literature, many such generators being built and analyzed, the topic of RNGs did not capture the researchers atention so much. Candidates in this first category generate nondeterministic sequences and are often based on physical reactions, such as radioactive degradation or mouse movement. A special category of generators is the one that combines the two categories, namely, the category of hybrid generators (HRGs). The purpose of this paper is to study in detail the category of hybrid generators and to provide a detailed analysis of the results of statistical tests, security , portability and how to improve some of the generators of this category.
ACTIVE LEARNING THROUGH TECHNOLOGICALLY-BASED DECISIONS

The fourth industrial revolution determined Education 4.0, which brings out both the clear presence of technology in the educational process and connects electronic devices in the real and virtual world during learning, and during activities of interest, according to personal preferences and experience. However, the requirements and conditions for the use of technologies to increase learning outcomes are much more important. The objective of the study is the construct "technology-based decision making". The research aims to study the influence of the technology-based decisions for the active learning of the students from the higher educational institutions /HEIs/. A scientific study was conducted with 74 students from HEIs. The results show that technology-based decision-making increases learning activity and provides opportunities for learning to be a constructive and active process. Technology-based decisions of university students are defined as a specific motivator for their active learning.