Reviewerly/exHarmony huggingface dataset:
FEATURES OF SOCIAL NETWORK IN STUDENTS WITH DIFFERENT LEVELS OF SUBJECTIVE WELFARE

Interpersonal relationships are one of the most important and thoroughly studied.At present, considerable factual material on this problem has been accumulated and different theoretical models have been constructed [1].It should be noted that interpersonal relationships are defined by scientists as subjective connections and relationships between people arising under conditions of cohabitation or joint activity.In the process of their formation and development, a system of interpersonal attitudes, orientations, social expectations and desirable subjective welfare are formed, which depend on the level of development of a social group, the cohesion of its members and the prevailing emotional background.Interpersonal relationships are better established in the closest social environment or social network, which we considered as the structure of relationships of the respondents and important and / or influential individuals.Scientific studies focus on the correlations between subjective feelings of happiness and the amount of positive experiences in the interaction process [10].There are also reliable data on the effect of the "contagion of happiness", i.e. the subjective feeling of happiness depends on the presence of happy people in the social network of respondents [11].The purpose of our study is to identify the characteristics of relationships in the immediate social environment of students with different levels of subjective welfare.The hypothesis of differences in the number of declared important / influential persons and the attitude of students with different levels of subjective welfare in the past, in the past and in the future, has been tested.We considered subjective well-being in line with the concept of M. Seligman, who explained it through the following psychological states and phenomena: pleasure, enjoyment of life, feeling of closeness, constructive thoughts about himself (herself) and his (her) future, optimism, self-confidence, being filled with energy.Method.
Exploring the Effect of Imaging Techniques Extension to PSO on Neural Networks

In this paper we go through some very recent imaging techniques that are inspired from space exploration.The advantages of these techniques are to help in searching space.To explore the effectiveness of these imaging techniques on search spaces, we consider the Particle Swarm Optimization algorithm and extend it using the imaging techniques to train multiple neural networks using several datasets for the purpose of classification.The techniques were used during the population initialization stage and during the main search.The performance of the techniques has been measured based on various experiments, these techniques have been evaluated against each other, and against the particle swarm optimization algorithm alone taking into account the classification accuracy and training runtime.The results show that the use of imaging techniques produces better results.
APPLICATION OF VISUALIZATION WITH TECHNICAL MEANS DURING ENDURANCE TRAINING ON TREADMILL AND STATIONARY BICYCLE

The aim of the study is to compare recorded physiological parameters during running and cycling on simulator devices in normal conditions and in conditions of audio-visual background through the help of TV monitor and 3D virtual reality glasses.Subject of the study is 12 high level Bulgarian acrobats and trampoline gymnasts aged 21±1.8 years.All indicators studied were compared to inform about the body's functional status during an aerobic task performance in normal conditions, and in alternative conditions through visualization of running and cycling routes with the help of 2D and 3D videos.The size of the total training load in the two types of conditions is equal.The collected data was statistically processed.The mean and peak values were analyzed.Statistically significant results on the treadmill were found for the mean values of VO 2 (NC: 1673±182 ml/min, AC: 1601±192 ml/min), VO 2 /kg (NC: 25±2.2 ml/kg/min, AC: 24±2.6 ml/kg/min), VE/VCO 2 (NC: 28.5±1.5,AC: 27.5±1.7),and RER (NC: 0.85±0.04,AC: 0.89±0.02).Statistically significant results of the peak values on the same simulator were found for VO 2 (NC: 2375±327 ml/min, AC: 2218±328 ml/min), VO 2 /kg (NC: 35±4.5 ml/kg/min, AC: 33±4 ml/kg/min), HR (NC: 170±8.9beats/min, AC: 165±12.6 beats/min), and RER (NC: 0.93±0.05,AC: 0.98±0.02).The collected data on the stationary bicycle is statistically insignificant.On the basis of the treadmill running results a conclusion for more economic aerobic work during the use of 2D video visualization can be drawn.The results on the stationary bicycle do not allow a general conclusion for the effect of the application of 3D video with VR glasses to be drawn.
The Implementation of Reflective Pedagogy in Advanced Critical Reading and Writing Class

Reflective pedagogy is a method dealing with a teaching methodology which is done based on a certain spiritualilty. It is important to study the implementation of reflective pedagogy because it helps the students to excel as fully human persons who own competence, compassion, and conscience. This study observes the implementation of reflective pedagogy in Advanced Reading and Writing Class. This research aims to find out the perceptions of the students on the process and the effects of the implementation. The writers employed survey to collect the data. The findings revealed that in general, the students had positive perceptions on the process and the effects of implementing Reflective pedagogy in Advanced Critical Reading and Writing class. The implementation of reflective pedagogy had been successful in developing students’ competence, conscience, and compassion. However, based on the interview, students’ conscience was developed to a limited extent.
PERMISIF DALAM SISTEM PENGENDALIAN MANAJEMEN (STUDI KASUS DALAM UD SINAR MOTOR)

This study aims to determine the impact of permissiveness in the management control system. Management control system cannot be implemented because of permissiveness that gives looseness in management control system. Problems occur are in the form of attendance and attendance of employees, punishment is less applied with firm, tolerance in recruit employees. Writing this thesis is included in applied research where the author hopes with the writing of thisthesis can assist in providing recommendations and suggestions related to management control system in Sinar Motor. The research method used is by interview, observation and data analysis. At this writing will be discussed about the management system of the company's management Sinar Motor include action control, result control, personnel control and cultural control. However, the management control system has not been able to perform well due to permissive generated from the nature of the owner who did not bear, pity and trust. To minimize the problem, the authors provide recommendations in the form of a limitation of tolerance that can be done by the owner for each problem. With some recommendations are expected to improve management control systemUD Sinar Motor.
Solutions by Optimization of the 2-Dimensional Heat Conductivity Problem on Grid Machines using C++ and OpenMP

Optimization is a method of transforming a piece of code into another functionally equivalent piece of code to improve code quality and efficiency.The two most important characteristics are the speed and size of the code.Other characteristics include: energy required and the time it takes to compile the code.This paper uses source code (jacobi2d.c)to provide solutions by optimization of the 2-Dimentional heat conductivity problem on grid machine using C++ compiler and OpenMP (Open Multi-Processing).The paper discuss the benefits of parallel grid computing.The grid server on which this paper used has 10 computers, grid-01 to grid-08 have 2 cores and 2 Gigabytes memory while 09 and 10 have 8 cores and 8 Gigabytes memory.The process of solving rectangular 2-dimensional heat conductivity problem to optimized performance is done in number of steps from step 1 to step 4, optimization starts in step 3 and ends in step 4. In step 4, performance speedup of step 3 is compared with performance speedup of step 4 and optimal (result) performance is achieved in step 4. It is concluded that performance is optimized with parallel processing using grid machine with performance level -3 and large problem size.
Overall Equipment Effectiveness Improvement on Cutting Machine by Minimizing Six Big Losses

This study aims to analyze the achievement of Overall Equipment Effectiveness on the cutting machine by minimizing the Six Big Losses that occur on the cutting machine.The research data are monthly data for the period January 2017 to June 2018.The sampling method used was purposive sampling.From a population of 18 carline areas with a total of 148 cutting machine units, 3 carline areas with the lowest OEE achievement as a sample.The analytical method used in the study is the analysis of OEE calculations and six big losses with a fishbone diagram analysis.The results showed the cause of the OEE value not yet achieved in the Toyota Bfree carline was the low Performance Efficiency results of 72.56% and the high Equipment Failure losses of 94.57%.In the Toyota Hiace carline is the low Performance Efficiency results of 69.25% and the high Equipment Failure losses of 88.70%.On the Toyota Vitz carline is the low availability of 76.81% and the high Equipment Failure losses of 87.01%.With suggestions for improvements given to increase the value of OEE companies based on factors Man, Machine, Method, Material, and Environment.
The Effect of Social Media on Reading Intensity of Fifth Grade Elementary School Students

The purpose of this study was to examine the effect of social media use on the intensity of reading fifth grade elementary school students.This research was conducted in Public Elementary Schools in Ciledug Sub district.The method used in this study is a quantitative method.The results showed that 1) the reading intensity of grade V elementary school students is still high, this can be seen from the results of the questionnaire analysis which shows that fifth grade elementary school students are still routinely reading even though he uses social media.2) There is an influence on the use of social media on the intensity of reading Elementary School class V students.This can be seen based on a simple correlation analysis.The r value states that the number of numbers between 0,00 -0,199 has a "very low" level of influence because the product correlation the moment above amounted to 0.089.Based on the coefficient of determination variable X (use of social media) contributes to the variable Y (reading intensity of grade V elementary school students) of 0.8% while the remaining 99.2% is influenced by other variables outside the research.
Corrigendum: A Curiosity-Based Learning Method for Spiking Neural Networks

[This corrects the article DOI: 10.3389/fncom.2020.00007.].
Perbandingan JST Metode Backpropagation dan Metode Radial Basis dalam Memprediksi Curah Hujan Harian Bandara Internasional Minangkabau

Telah dilakukan prediksi curah hujan harian menggunakan jaringan syaraf tiruan dengan beberapa fungsi pelatihan backpropagation dan radial basis. Penelitian ini menggunakan data curah hujan harian dari Badan Meteorologi Klimatologi dan Geofisika Stamet Kelas II Bandara Internasional Minangkabau Padang Pariaman dari tahun 2008 sampai tahun 2018. Penelitian ini bertujuan untuk membandingkan kinerja prediksi curah hujan jaringan syaraf tiruan Backpropagation dan Radial Basis dan menentukan arsitektur jaringan syaraf tiruan terbaik untuk prediksi curah hujan di Bandara Internasional Minangkabau. Untuk metode backpropagation optimisasi dilakukan terhadap jumlah lapisan tersembunyi, jumlah neuron pada lapisan tersembunyi, fungsi transfer, fungsi latih dan jumlah data masukan pada data latih. Untuk metode radial basis optimisasi dilakukan pada jumlah neuron lapisan tersembunyi, jumlah data masukan pada data latih dan nilai spread. Dari penelitian ini ditemukan hasil terbaik untuk metode backpropagationadalah dengan menggunakan fungsi latih trainlm dan arsitektur (60-70-6-1) dengan tingkat ketepatan prediksi 86,4876%. Untuk metode radial basis hasil terbaiknya diperoleh nilai spread 0,01 dengan arsitektur (60-120-1) dan tingkat ketepatan prediksi 95,3107%. Dengan demikian dapat disimpulkan metode paling bagus untuk prediksi curah hujan harian pada daerah Bandara Internasional Minangkabau adalah metode radial basis. Research on daily rainfall predictions have made by using artificial neural networks with some backpropagation and radial basis training functions. This study used daily rainfall data from the Meteorology Climatology and Geophysics Agency in Class II of the Minangkabau International Airport Padang Pariaman from 2008 to 2018. The purposes of the study is to compare the predicted performance of rainfall in Backpropagation and Radial Neural Networks and determine which one the best artificial neural network architecture for rainfall predictions at Minangkabau International Airport is. For the backpropagation method, optimization is performed on the number of hidden layers, the number of neurons in the hidden layer, the transfer function, the training function and the amount of input data on the training data. For the radial basis optimization method is performed on the number of hidden layer neurons, the amount of input data on the training data and the spread value. From this study found the best results for the backpropagation method were obtained with trainlm and architectural training functions (60-70-6-1) with a prediction accuracy level of 86.4876%. The best results for the radial basis method by value of a spread is 0.01 with architecture (60-120-1) and a predictive accuracy rate of 95.3107%. Thus the best method for the prediction of daily rainfall in the area of the Minangkabau International Airport is the radial basis method.
Analysis of Even-Rodeh Code For Text Compression

Text compression is used to reduce the repetition of letters so that the storage space used becomes smaller and transmission becomes faster. Techniques in text compression that can be used are using lossless compression. Lossless compression is a type of compression where when the decompression process occurs no data is lost. The Even-Rodeh Code algorithm is a lossless type of compression algorithm that replaces the initial bit code of the data with a code from the Even-Rodeh Code algorithm so that it can produce smaller data sizes
Online Educators’ Leadership Styles and Sources of Their Support

Online education is manifested on three scales: formal, semi-formal and non-formal. The degree of development of each of the scales depends on the socioeconomic, technical, technological development of one country, administrative-legal and political system, its civilization and cultural milieu. It is manifest on platforms and has rules, frameworks, ranges and limitations, which usually is not studied in the formal educational systems, as it is not a part of the curriculum, or is not referred to the system of functioning large and small scales. Thus, as a consequence, educators find themselves in a digital space and become victims with burnout, destroyed knowledge and untapped potential of educational platforms. The subject of this study investigates the relationship between teacher educational background, their leadership styles and support on language teaching platforms. Results showed that educators respond to duty requests, and lead the teaching process in a parallel manner using autocratic, democratic, and liberal leadership styles, and their preferences are not related to educational background. Most of the teachers reported that they have the support from the platform where they teach, educational or other experts’ association. In contrast, a small number of participants said they do not receive any support or they have to rely on themselves. The paper discusses the theoretical and practical aspects, in an effort to improve and strengthen program oriented to improvement of online educators’ skills and their professional inclusion. Results are useful for policy makers, managers, developers and experts in a field of online education.
We Can Choose NOT to Fail

School of Public Health, The University of Alabama at Birmingham, Birmingham, Alabama. Correspondence: Paul C. Erwin, MD, DrPH, School of Public Health, The University of Alabama at Birmingham, 1665 University Blvd, RPHB 140B, Birmingham, AL 35294 ([email protected]). The author declares no conflicts of interest.
A New Strategy for One-Example Person re-ID: Exploit the Unlabeled Data Gradually Base on Style-Transferred Images

As a research field of symmetry journals, computer vision has received more and more attention. Person re-identification (re-ID) has become a research hotspot in computer vision. We focus on one-example person re-ID, where each person only has one labeled image in the dataset, and other images are unlabeled. There are two main challenges of the task, the insufficient labeled data, and the lack of labeled images cross-cameras. In dealing with the above issue, we propose a new one-example labeling scheme, which generates style-transferred images by CycleGAN (Cycle Generative Adversarial Networks) to ensure that for each person, there is one labeled image under each camera style. Then a self-learning framework is adopted, which iteratively train a CNN (Convolutional Neural Networks) model with labeled images and labeled style-transferred images, and mine the reliable images to assign a pseudo label. The experimental results prove that by integrating the camera style transferred images, we effectively expand the dataset, and the problem of low recognition rate caused by the lack of labeled pedestrian pictures across cameras is effectively solved. Notably, the rank-1 accuracy of our method outperforms the state-of-the-art method by 8.7 points on the Market-1501 dataset, and 6.3 points on the DukeMTMC-ReID dataset.
Analisa Dan Implementasi Security Mail Server

Mail server is one of the most widely used server functions in the company. This discusses e-mail itself which can reduce mailing costs, is more efficient than manual communication and can be used as attachments that are useful as a supplement and additional documents related to the contents of e-mail. Zimbra is a mail server application that provides complete features and also makes it easy to install mail server management, also mail server security issues are a factor that must be considered by the system administrator. The security design for e-mail servers addresses the importance of being able to prevent spam e-mail attacks that can fill e-mail servers and make mail server performance faster. Because a good mail server security can optimize the performance of the mail server itself. In this final project, the work and implementation of the zimbra mail server security will be carried out specifically for handling email spam. The zimbra email server will analyze its security against spam email attacks, so that it can function as an email server on the company.
Recognition of the Image of a Person, Based on Viola-Jones

In the field of image analysis, technological evolution is considered as an innovation through the application of algorithms in cameras for the detection and identification of objects and people, although these recognition tasks are complex for a computer. The general context of the application of the algorithms in the recognition of images is not known, therefore, the following research question is posed: What algorithm based on Viola-Jones allows the recognition of the image of a person? The objective of this investigation is to determine an algorithm based on Viola-Jones that allows to detect and identify the image of a person. This research was made through an algorithm comparison methodology, which allowed improving the recognition of a person’s image pattern, based on the techniques and methods found in pattern recognition. The results obtained will serve as support for future studies, considering that the application of the Viola-Jones-based algorithm allowed the recognition and identification of a person’s face in five different frontal perspectives, through a digital camera and was a fundamental basis to determine substantial improvements in the recognition of the image of a person.
Prediction of Aging Degree Based on Holt Linear Trend and BP Neural Network

The change of population age structure is related to all aspects of the development of social production in China. It is beneficial to the adjustment of industrial structure and the construction of social security system by predicting the development of aging population in China. In order to predict the change of aging degree in China, based on the data of population aging in China from 1990 to 2018, using SPSS, MATLAB, Excel and other software, the paper forecasts the population aging degree from 2019 to 2023 by constructing Holt linear trend and BP neural network model. The model established by the model is tested, and the error analysis of the prediction results shows that the reliability of the prediction is high. Finally, according to the prediction of aging changes, the paper puts forward corresponding suggestions for the adjustment of industrial structure and the construction of social security system.
Semantic ambiguity does not imply syntactic ambiguity

A problem to solve in generative grammar is to account for why children are able to note when a sentence or expression is ambiguous, even if they have not received explicit training for that. The theory of mental models can give an explanation in that way. That explanation is based upon the idea that people interpret linguistic messages by considering the semantics models corresponding to them, and it has been also proposed that the syntactic structures of those messages can be recovered by taken those very models into account. However, the point of this paper is that it tries to show that ambiguity at semantic level, that is, the cases in which models referring to different facts can be attributed to one sentence, does not necessarily lead to ambiguity at syntactic level. As it is argued, it is possible to capture models describing several opposite circumstances by means of only one logical form.
The Effects of Crude Oil Production Activities on Surface and Groundwater Quality in Sapele, Delta State, Nigeria

The crude oil industry in Nigeria remains a major source of revenue and foreign exchange.However, oil exploration and production activities have the potential of causing a lot of distortions in the environment, affecting the ecosystems and human life.The purpose of this study is to assess the physicochemical status of surface and groundwater in Sapele, Delta State, a region that has witnessed oil exploration and production activities.In carrying out this study, water samples were collected monthly from April to September 2016 from stations 1 and 2 (perturbed locations) and station 3 (control) for analysis of physicochemical parameters including heavy metals.Samples were analyzed using standard procedures and atomic absorption spectrophotometer.At significant level of P < 0.05, HCO 3 , Na, K, Mg, Cl, SO 4 , Mn, Cr, Cd, Pb, EC, Colour, TSS, Turbidity, TDS and Salinity were significantly different across the study stations for surface water.A posteriori Duncan's Multiple Range Test revealed that stations 1 and 2 (perturbed stations) had higher mean values than station 3 (control).Results from the study show the average physicochemical parameters in ground and surface water conformed to World Health Organization (WHO) standard with the exception of temperature, electrical conductivity, colour, dissolved oxygen, biological oxygen demand, iron, cadmium and lead which were slightly higher than WHO and Federal Ministry of Environment permissible level for surface and groundwater indicating some level of pollution due to oil exploration activities.