Reviewerly/exHarmony huggingface dataset:
Implementation of the Backpropagation Method to Predict the Percentage of Women as Professionals on the Island of Sumatra

This study aims to obtain information on the best algorithm from the two algorithms that will be compared based on the smallest/lowest performance value or MSE value, which can later be used as a reference and information for solving women's problems as professional workers on the island of Sumatra. The data used in this study are women as professional workers (percent) 2012-2021 at the Central Statistics Agency (BPS). The algorithm used is Backpropagation Neural Network. Data analysis was carried out using the Artificial Neural Network method using Matlab R2011b(7.13) software. In this review, 5 structural models were used, namely: 4-10-1, 4-15-1, 4-20-1, 4-25-1, 4-30-1, out of five models.
Exploring the Effectiveness of Convolutional Neural Network with Ensemble Technique

Abstract The full text of this preprint has been withdrawn by the authors due to author disagreement with the posting of the preprint. Therefore, the authors do not wish this work to be cited as a reference. Questions should be directed to the corresponding author.
Mushroom Production Prediction Model using Conjugate Gradient Algorithm

Mushrooms are heterotrophic living things that act as saprophytes on dead plants. Mushrooms contain many important substances such as protein, amino acids, lysine, histidine, etc. Mushrooms tend to be better consumed than animal meat, even the content of lysine and histidine contained in mushrooms is greater than eggs. In recent years the volume of Mushroom Demand has increased, while production has decreased, especially on the island of Sumatra, namely in 2020 and 2021. Therefore, it is necessary to predict the estimated production of mushroom plants on the island of Sumatra so that the government on the island of Sumatra has clear data references to determine policies and make the right steps so that the production of mushroom plants on the island of Sumatra does not continue to decline. The method used in predicting is one of the ANN methods, namely the Conjugate Gradient Algorithm. The data used in this paper is Vegetable Crop Production data from 2014-2021 which was obtained from the website of the Central Statistics Agency. Based on this data, network architecture models such as 3-10-1, 3-15-1, 3-20-1, 3-25-1, 3-30-1, will be formed and defined. From the five models, training and testing values were obtained which showed that the most optimal architectural model was 3-10-1 with a Performance/MSE test value of 0.00055034. This value is the smallest of the 5 architectural models after the training and testing process. From this it can be concluded that this model can be applied to predict mushroom production on the island of Sumatra
Machine Learning Algorithm for Determining the Best Performance in Predicting Turmeric Production in Indonesia

The herb that has many uses in everyday life is turmeric. Not only in Indonesia but in other countries also use turmeric for consumption. Therefore, by making predictions on the level of turmeric production in the country, so that the government or other parties can use this as a reference and reference to solve problems. The method we use is Resilient Backpropagation where this method is one of the methods that is often used to forecast data. By using turmeric plant production data in Indonesia from 2016-2021 taken on the website of the Indonesian Central Statistics Agency. According to the data to be tested a network architecture model is formed, namely 2-15-1, 2-20-1, 2-25- 1 and 2-30-1. From this model, the Fletcher-Reeves method is used. From the 4 models that have been trained and tested, a 2-15-1 model is obtained to be the best architectural model for each method. The accuracy level of the Fletcher-Reeves method with the 2-15-1 model has an MSE value of 0.002481597.
Determining the Best Performance Using the Backpropagation Algorithm for Expenditure per Capita in North Sumatra

In an effort to maintain per capita income in Indonesia, the Government must take action through strengthening national protection. Per capita is the average income of all residents in a country. Per capita income is obtained from the distribution of the national income of a country by the total population of that country. There is a decrease in the population per capita of North Sumatra at the Central Statistics Agency (BPS) in 2020. The author will use the backpropagation algorithm to make a performance. Backpropagation iskone ofkmethodkartificial neural networklquite reliablejinlsolvekproblem. In researchj5 models are usedlarchitecture: 4-15-1, 4-30-1,k4-45-1, 4-60-1, 4.-75-1, fromjfive modelslThus, the architectural model 4 -75-1 provides the best accuracy withK452 iteration epochs and MSE is 0.00001536
Implementation of Sample Sample Bootstrapping for Resampling Pap Smear Single Cell Dataset

&#x0D; The purpose of this study was to determine how the effect of using Bootstrapping Samples for resampling the Harlev dataset in improving the performance of single-cell pap smear classification by dealing with the data imbalance problem. The Harlev dataset used in this study consists of 917 data with 20 attributes. The number of classes on the label had data imbalance in the dataset that affected single-cell pap smear classification performance. The data imbalance in the classification causes machine learning algorithms to produce poor performance in the minority class because they were overwhelmed by the majority class. To overcome it, The resampling data could be used with Sample Bootstrapping. The results of the Sample Bootstrapping were evaluated using the Artificial Neural Network and K-Nearest Neighbors classification methods. The classification used was seven classes and two classes. The classification results using these two methods showed an increase in accuracy, precision, and recall values. The performance improvement reached 10.82% for the two classes classification and 35% for the seven classes classification. It was concluded that Sample Boostrapping was good and robust in improving the classification method.&#x0D;
Developing Mobile Learning Application as Instructional Media for Reading Comprehension

Students nowadays are no longer enjoy reading printed books. They mostly read from their mobile phone or computers' screens. Teachers need to encourage students to read and comprehend texts. Teachers should adopt and adapt technology in teaching reading comprehension to students in light of the rapidly changing existence of technology. The purpose of this research is to develop appropriate media for learning reading. This research has employed Research and Development design based on ADDIE model. This model is used for media development by requiring 5 stages, namely: 1) Analysis, 2) Design, 3) Development, 4) Implementation, and 5) Evaluation. The research subjects are the tenth graders and the English teacher. Both the media and language experts validated the developed product. The instruments used in the needs analysis are questionnaires for the students and interviews with the English teacher. The final result is in the form of a mobile application that suits the needs of teachers and students. This media consists of 63 slides. The size of this mobile application is 52 Mb. The developed application consists of three main menus and eleven sub-menus. They are the intro page, loading section, menu page, materials page, core competence page, vocabulary building page, learning summary page, exercise page, glossary page, verb form page, user’s guide page, lesson plan page, description of the product page, and exit page. The result of this research could be seen in the enthusiasm, development, and students’ interest in mobile application media. Therefore, it is recommended for teachers to use mobile applications in teaching reading and for other developers to develop applications for the learning process.
Comparison of Naive Bayes Method and Certainty Factor for Diagnosis of Preeclampsia

Preeclampsia is a disease often suffered by pregnant women caused by several factors such as a history of heredity, blood pressure, urine protein, and diabetes. The data sample used in this study is data on pregnant women in the 2020 time period recorded at health services in the former Cilacap Regency. This study was conducted to compare the final results of the Naive Bayes method and the certainty factor method in providing the results of a diagnosis of preeclampsia seen from the symptoms experienced by these pregnant women. The naïve Bayes approach provides decisions by managing statistical data and probabilities taken from the prediction of the likelihood of a pregnant woman showing symptoms of preeclampsia. Symptoms of preeclampsia, while the certainty factor method determines the certainty value of the diagnosis of preeclampsia in pregnant women based on the calculation of the CF value. The research output compares the two methods, showing that the certainty factor method provides more accurate diagnostic results than the Naive Bayes method. It happens because the CF method requires a minimum value of 0.2 and a maximum of 1 for each rule on the factors/symptoms involved, while the Naive Bayes method only requires values of 0 and 1 for each factor causing preeclampsia in pregnant women.&#x0D;
Adam in Private: Secure and Fast Training of Deep Neural Networks with Adaptive Moment Estimation

Privacy-preserving machine learning (PPML) aims at enabling machine learning (ML) algorithms to be used on sensitive data. We contribute to this line of research by proposing a framework that allows efficient and secure evaluation of full-fledged state-of-the-art ML algorithms via secure multi-party computation (MPC). This is in contrast to most prior works, which substitute ML algorithms with approximated "MPC-friendly" variants. A drawback of the latter approach is that fine-tuning of the combined ML and MPC algorithms is required, which might lead to less efficient algorithms or inferior quality ML. This is an issue for secure deep neural networks (DNN) training in particular, as this involves arithmetic algorithms thought to be "MPC-unfriendly", namely, integer division, exponentiation, inversion, and square root. In this work, we propose secure and efficient protocols for the above seemingly MPC-unfriendly computations. Our protocols are three-party protocols in the honest-majority setting, and we propose both passively secure and actively secure with abort variants. A notable feature of our protocols is that they simultaneously provide high accuracy and efficiency. This framework enables us to efficiently and securely compute modern ML algorithms such as Adam and the softmax function "as is", without resorting to approximations. As a result, we obtain secure DNN training that outperforms state-of-the-art three-party systems; our full training is up to 6.7 times faster than just the online phase of the recently proposed FALCON@PETS'21 on a standard benchmark network. We further perform measurements on real-world DNNs, AlexNet and VGG16. The performance of our framework is up to a factor of about 12-14 faster for AlexNet and 46-48 faster for VGG16 to achieve an accuracy of 70% and 75%, respectively, when compared to FALCON.
Individual bullying in schools Causes and treatments-Analytical study

The aim of the current research is to study one of the existing problems in society that all individuals suffer from whether in the school the street ،or the house and everywhere except the problem of bullying.The research tried to identify the types of bullying especially school bullying which is a form of aggressive and improper behavior and it frequently occurs in peer relations in the school environment and depends on control control and submission between two parties one of who is a bully who is the one who is assaulted and the other is a victim who is the abused and bullying in all its forms Aggression The aggression of others whether physical verbal psychological social or electronic is a problem that results in many negative consequences whether on all its parties the bully the victim of bullying the school environment.This research is based on the interpretation of this problem knowing its causes and motives how to treat it ،and the studies that dealt with it.
Digital marketing and its impact on organizational prosperity Analytical study of the opinions of a sample from the Asia Cell Company, Nineveh Branch

This research aims at knowing the impact of digital marketing on organizational prosperity.The researcher also distributed (86) questionnaires to employees in the Asia Cell Company, Nineveh branch, and the number of the retrieved questionnaires was (79), all were valid for statistical analysis, with a response rate of (91%), and they were analyzed by using the statistical program (Spss) as well as the program the statistician (Excel) The importance of the research came due to the lack of researches that tried to determine and know the nature of the relationship between the study variables (digital marketing, organizational prosperity).This research also attempt to address a real problem that directly affects the telecommunications sector in Iraq.The presentation of the previous literature showed the existence of a knowledge gap to explain the nature of the relationship between digital marketing and organizational prosperity in general and in Asiacell in particular.The analysis reveals that there was an influence relationship between the research variables, which is direct impact relationship between (digital marketing and organizational prosperity).Hence, we conclude that if the employees in Asiacell Company will follow the digital marketing method, that will lead to a higher production of the organization's work by attracting and retaining customers, and as a result, improving the level of success of the organization.In addition to the continued interest of Asiacell in Nineveh Governorate in digital marketing, which has a major role in organizational prosperity .
Analysis Of The Content Of The History Book For The Fifth Grade Literary According To The Depth Of Knowledge Levels

The objective of the research is to identify the analysis of the book of the scheduled date of the fifth literary aim according to the levels of depth of knowledge for the academic year 2019-2020.To achieve the goal of the research, the researchers prepared a list of levels of depth of knowledge that included four levels: the level of remembrance and reproduction, Level of application of concepts and skills, level of strategic thinking, level of extended thinking, Research Sample of Scientific Material ", the analytical descriptive curriculum was used in the book The Scheduled Date of the Fifth Literary Grade and the book was analysed according to the four levels of depth of knowledge, Then check the stability of the analysis through analysis over time and across individuals and it has a greater stability rate than 77% using the Holsty equation and the research found that there were four levels of depth of knowledge in the book, with a percentage reaching (40%) for the level of remembrance and reproduction in first place and then for the level of application of concepts and skills in percentage reached (30%) in second place and then the level of strategic thinking at a percentage (19%) third place, then extended thinking level by a percentage (11%) in fourth place.This indicates the availability of levels of depth of knowledge in the history book for the fifth literary grade and in proportions that have been graded to suit the four levels.
EFL college students’ perceptions toward the overall implementation of online class during the COVID-19 pandemic: Focusing on self-directed learning and motivation

The purpose of this study is to investigate not only the EFL college students’ perceptions about the overall implementation of online classes for general English courses but also the extent of self-directed learning and learning motivation during the COVID-19 pandemic. For data collection, a survey was done of 123 junior-college students who took online English classes. The results revealed the followings: First, students were highly satisfied with online video lectures, especially regarding the length of lecture, learning contents, and class satisfaction. Second, students had little difficulty in interacting with their professors due to frequent and prompt feedback by both LMS and smartphone texting. In particular, this feedback motivated students towards self-directed learning. Though students preferred online video lectures, they agreed that the most effective learning method for English classes takes place in face-to-face classes.
Analysis of Relationship between Leaders and Events

There is often an inseparable relationship between leaders and events. By reviewing history, this paper analyzes the reasons for the success or failure of other leaders such as Li Shimin, Zhu Yuanzhang, Romulus Augustus, and the Huns, and finds that the reasons for Li Shimin's success lie in military talent, self-control, open and inclusive mentality, and ability to select outstanding talents , in addition, it is also inseparable from a strong army and financial support. In conclusion, leaders can create events, and events will also affect leaders' . This finding will affect leaders' approaches and mentality in dealing with incidents.
The use of Hedges in Interrogation

Interrogation language is different from ordinary language. During interrogation, the two sides of interrogation are antagonistic, conflicting and often cooperative. It can be said that interrogation language is a kind of language in a special context, and it is particularly important to select and control these languages by interrogators. Hedges plays an important role in the game of interrogation. If it is properly applied to investigative interrogation, unexpected special effects can be achieved. Reasonable use of hedges in different situations will make interrogators get twice the result with half the effort. But at the same time, there are also some problems in the process, which deserve our attention. Through the use of hedges in an selected interrogation, this paper tries to summarize the characteristics of hedges, explore the use of hedges, and provide some ideas for better use of hedges in view of different interrogation occasions.
The Effect of External Environment Factors on Core Competence in the Fourth Industrial Revolution

The 4th industrial revolution is a technology that hyper networks and AI will bring.The 4th industrial revolution was triggered by the development of various information technologies.The 4th industrial revolution means changes in major industries, economy, and society.Its meaning continues to expand and develop.These changes have already begun in all areas, including economics and society, robotics, finance, manufacturing, personal assistants and content.These realms are realized with platform technologies of the Internet of Things, artificial intelligence and mixed reality.It will provide new opportunities for upgrading existing industries, convergence between industries, and creating new industries.In order for companies to continue to develop in the 4th industrial revolution, the business environment must change appropriately to fulfill their roles.Due to the 4th industrial revolution, customer demands and various technological innovations are being made.Due to the rapid change of the business environment, companies must strategically use the business environment to adapt to the changing environment.The external environment surrounding a company affects its core competencies.The external environment of the company due to the 4th industrial revolution will affect the core competencies through the brand expansion strategy.For basic analysis of data, statistics were performed using SPSS 23.0, and hypotheses were tested using Smart PLS 3.0 statistics package.The external environment of the 4th industrial revolution is as follows to summarize the analysis results of brand expansion strategies and core competencies.First, industrial competitiveness influenced the brand expansion strategy.Second, environmental uncertainty affected the brand expansion strategy.Third, the technological structure influenced the brand expansion strategy.Fourth, the brand expansion strategy had an impact on core competencies.In conclusion, external environmental factors, brand expansion strategies, and core competencies were affected in the 4th industrial revolution.
A Phenomenological Study on the Decision to take Leave of Absence among Nursing Students

This study is the qualitative research aimed to understand and explain the leave of absence experiences of nursing students.A total of 7 students, selected through purposive and snowball sampling, participated in the study in a way that they are added until the theoretical saturation level is reached.The data was collected using the informal in-depth interview, participant observation, preparation of field note and telephone interview.The collection of data was conducted from March 2018 to June 2020 when the data got saturated.The frequency of interviews for each informant was 2 or 3 times with each session taking 90 minutes to 120 minutes.The data was analyzed by using the phenomenological research method of Colaizzi.The result of the study was classified into 4 theme groups, 6 themes and 13 formulating meanings, 38 significant statement.The theme groups, themes are as follows: The theme of "The Not suitable for major", " The Unable to find the purpose of taking a stop out ", "The There isn't have any Emotional support", " The hope my tired mind will be relieved".In conclusion, the essence of the Nursing Student Leave of Absence experience is that he is thinking about taking a leave of absence as he is faced with constant doubts about whether a career related to his major is right for him and not knowing what he wants to do in reality while exploring and deciding on a career path and appeared to be determined.On the other hand, it was confirmed that nursing students who decided to take a leave of absence had a positive perception to clarify their career identity despite the above research results.Based on the results of this study, the following suggestions were made.First, it is suggested that university institutions need to improve their educational competitiveness in consideration to the individual abilities and characteristics of students in response to the increasing number of leave of absence.Second, it is necessary to develop a manual for long-term learning counseling through psychological counseling of college students and to provide positive suggestions from university institutions so that effective continuous counseling can be maintained.
Analysis of Translation strategies of Culture Compensation in the English Version of the Analects of Confucius by Ku Hungming

In the context of implementing “Chinese Culture Exporting” strategy, it is difficult for Chinese translators of national classics to completely break down cultural barriers. For example, some high cultural context concepts such as “Li” (礼) cannot match the Western context, and classic translations are difficult to spread more widely. Ku's translation of ancient books is quite in line with the taste of the Western public, and is still widely spread. The translation strategies chosen to highlight the Chinese national culture have certain research value in the translation of Chinese classics and are of great help to the dissemination of Chinese culture. From the perspective of culture compensation, this paper classifies and analyzes the cross-cultural analogies in the Analects of Confucius translated by Ku, so as to extract the translator’s implicit translation strategies and good translator’s literacy, hoping to provide a solution to the problem of “culture barriers” in the translation of Chinese classical books.