Reviewerly/exHarmony huggingface dataset:
Fundamentals of Communication Technology and Networks

This paper work generally examines the computer network, the basic classification and types of networks, network goals and the benefits a computer network offers to researchers, individuals and organizations. It also pinpoints the graphical arrangement of the computer network, as well as basic building blocks and general overview of data transmission. Data were collected from primary sources where personal interviews were conducted and were analyzed and presented for statistical decision. This research shows the importance of networks in our ever-growing environment. This paper tends to present an overview and an introduction of some of the fundamental components enabling efficient and effective data communication and transmission. For better network efficiency, we need the right Network components, the right network design, and also the right IT expertise in the design and implementation of any network system. Multiple numbers of computers forming a network tend to enhance computing power and increase the productivity of the network in general.
Study on the Design of a Pedagogical Culture and Development of an University Teacher’s Soft-skills

The design of a teacher's pedagogical culture is perceived as a specific pedagogical field within which it is possible to extend the patterns of the project culture into education, which, in turn, is meant to enhance a teacher's personal growth and their readiness to work in the current global conditions of the social and cultural unrest.The article defines the term "pedagogical culture of a university teacher", describes the principles (of individualization, of professionally targeted educational process, of the synthesis of vocational, educational and scientific activities, of social determinacy) and the theoretical approaches that help to effectively analyse the design of a pedagogical culture.A university teacher's soft-skills development is claimed to be the indispensable means of advancing a pedagogical culture.The research described reestablishes the topicality of the development and advancement of the soft-skills.
Predictive Diagnosis of Breast Cancer Using Deep Neural Network

The ultimate aim of the study was to predict the overall survival rate for women affected by breast cancer by developing and validating a prognostic model.In this study mammography image were collector and the health records for at least 1 year before mammography.The algorithm was trained on mammogram and health records of women to make two breast cancer predictions: (i)to predict biopsy malignancy and (ii)to differentiate normal from abnormal examination.In this model,ANN's were used to complete the task.This model was developed using a large proportion of concealed layers for thedatageneralization.Alargeproportionclosetoa1000mammographyrecordsandresultswere used in the model to differentiate between benign and malignant tumors.Before being inputted, all the data was inspected by radiologists.The accuracy of the model was determined to be an AUC of 0.96 and was a huge success(area or curve used to determine the success of model).This model is highly consistent, effective and less prone to error when compared to diagnosis performed by pathologists.The study obtained very high accuracy of predictions such as 93% and 95%.This facilitates early and accurate diagnosis of breast cancer for patients and early diagnosis is integral in cancer diagnosis.This also contributes as a useful tool for new selective drugs for these tumors to be treated.In Today World, Technology has facilitated great improvements in various important aspects of the world such as healthcare, agriculture, business etc.Despite this tremendous growth and improvement various diseases are still on the rise world wide.Among these Cancer stands as one of the major causes of death and accounts for about 9.6million deaths world wide.Cancer has various forms.Among which Breast Cancer is one of the most dangerous and common reproductive cancers that mostly affects women.According to the World Health Organization, Breast cancer affects about 2.1 million women every year.In order to improve Breast cancer outcome and survival, Early detection is critical.Hence, the goal of our project is to use Machine learning techniques and deep learning to increase the proportion of breast cancers identified at an early stage, allowing for more effective treatment to be used and reduce the mortality rate.Since early detection of can ceriskey to effective treatment of breast cancer, we use various machine learning and deep learning techniques to predict if a tumour is benign or malignant, based on the features provided by the data in a more accurate,consistent and less prone toerror.
IMPROVING BASIC LEVEL MANDARIN CONVERSATION SKILLS THROUGH THE PICTURE AND PICTURE METHOD FOR STUDENTS - PRIVATE HIGH SCHOOL STUDENTS DHARMA PANCASILA MEDAN

Along with the times and the demands of industry 4.0, strict technological, economic, social, and cultural developments make every country compete, and everything becomes very easy to access. For this reason, building human resources that are hard-working, dynamic, skilled, and mastering science and technology is necessary to invite talents from other countries to cooperate with Indonesia. Currently, Indonesia has collaborated with other countries, one of which is China. Therefore, in this community service activity, efforts will be made to improve Mandarin's conversational skills through the picture to picture method. This activity has been carried out online through zoom meetings. The number of students who took part in this activity was 20 students of SMA Dharma Pancasila. In its implementation, the picture and picture method approach is used with materials from power points that have been optimized by the service team and specifically for high school students. This community service has resulted in the outcome, namely assistance in improving Chinese conversations, which impacts improving students' Mandarin language skills
The Impact of the Employee Behavior in Improving the Mental Image of Tourism Destination and Hospitality Services: An applied Study on Hurghada

The aim of the present study is to examine the impact of employee behavior in improving the mental image of tourism destinations and hospitality services. It is an important topic that needs a convergence of views among academic lecturers and hospitality experts. The questionnaire is the method used to collect the required data. For this purpose, a sample of 30 five and four stars hotels, moreover 20 tourism companies in Hurghada was chosen to ask their guests to complete them. The research focuses on the destination of Hurghada because most of the guests visit. The field study accomplished through a survey by personal visits, phone calls, social media networks, and emails. The study was conducted from October 2019 to March 2020. 510 questionnaire forms were received only 425 completed forms were valid (83.3% response rate). The collected data were analyzed using SPSS version 20. The study concluded with a set of theoretical and practical conclusions that identified the response of the employee behavior and its importance in improving the mental image of tourism destination and hospitality services in the mind of guests.
Statistical properties of derived signal systems

The search for effective methods of synthesis of discrete signals (sequences) that correspond to the potentially possible limiting characteristics of correlation functions and possess the necessary correlation, structural, ensemble properties remains an urgent problem. The authors have proposed a method for the synthesis of derivatives of signal systems, for which orthogonal signals are used as the initial ones, and nonlinear discrete complex cryptographic signals (CS) are used as generating signals. The synthesis of the latter ones is based on the use of random (pseudo-random) processes, including algorithms for cryptographic information transformation. Derivative signals synthesized in this way have improved (in comparison with linear signal classes) ensemble and correlation properties, while the statistical properties of such signal systems remain unexplored. The paper presents the results of testing derived signal systems using the tests defined in FIPS PUB 140 and NIST 800-22. Analysis of the results obtained allows us to assert that the statistical properties of this class of derived signals satisfy the requirements for pseudo-random sequences: unpredictability, irreversibility, randomness, independence of symbols, etc. In essence, such signals do not differ from random sequences. The use of the proposed class of derived signals will improve the performance of signal reception noise immunity, information security and secrecy of the ICS functioning.
Gambaran Kompetensi Pendidik dalam Pengelolaan Pembelajaran Ekonomi di Era Pandemi Covid-19

This research is conducted to understand the pedagogical techniques used in the learning of economics in STKIP PGRI Bangkalan. It applies quantitative descriptive method to recognize the percentage of respondents’ responses to each learning pedagogical variable indicator. This research found that during pandemic the learning pedagogy implemented by each lecturer of economics education program is categorized as very good. This is indicated by the percentage each indicator gained. The learning patterns of virtual classes have been in compliance with pedagogical techniques where students are given freedom to seek and get insights through guidance, direction and assistance the lecturers have provided. They function as motivator, facilitator and advisor in order to make students’ more confident to take decisions in understanding the materials given during the interactive virtual class. These pedagogical techniques have given students chances to understand cognitive, affective and psychomotor aspects simultaneously so that the learning becomes more effective.
INFORMATION SYSTEM SECURITY CONTROLS AND DATA SECURITY IN UNIVERSITIES IN KENYA. A CASE OF KIRIRI WOMEN’S UNIVERSITY OF SCIENCE AND TECHNOLOGY

Universities have adopted information systems replacing manual processes and thus simplifying work and increasing capacity which in turn has led to increased efficiencies.Information systems are useful in collection, processing, storage, retrieval and communication of information to the relevant users in a timely manner.Adoption of information systems come with the challenge of maintaining security.Various controls have been enforced to ensure that the systems are protected and thus enhance data confidentiality, integrity and availability.According to the United Kingdom General Data Protection Regulations, all data in a university must be protected from unauthorized access.However, data insecurity is still reported in many institutions of higher learning.Institutions are having challenges in monitoring revenue and tracking students' academic progress risking the credibility of the awards given while students are made to reseat examinations due to missing marks and pay fees already previously paid.This study sought to establish the influence of information systems security controls on data security in universities in Kenya.The study was guided by the following specific objectives; to determine the influence of administrative controls, technical controls and physical controls on data security in universities in Kenya.The study was carried out at Kiriri Women's University of Science and Technology.A descriptive research design was used for the study.Using purposive sampling technique, a sample of 55 respondents was included in the study drawn from the population of 122 information system users.The researcher used a questionnaire for data collection which was tested through a pilot study to establish the validity and reliability.The data collected was analyzed using the Statistical Packages of Social Sciences 21 (SPSS) program.Frequency distributions, percentages, correlation and regression analysis were computed and interpretations made.The findings were presented in tables and figures were be accompanied by detailed explanations.The studies established that administrative, technical and physical controls are correlated to data security in information system used in universities.From the data analysis, administrative, technical and physical control were all positively correlated to data security at; technical controls (r=.798,p=.000), physical controls (r=.575,p=.000) and administrative controls (r=.390,p=.005) at 0.05 significance level.Regression analysis established an adjusted R 2 =.727 implied that 72.7% of the changes in the level of data security in the university's information systems can be explained by the changes in administrative, technical and physical controls.As such, enhancing these controls to a large extend help in mitigating data insecurity in information systems used in universities in Kenya.
Convolutional Network with Sub-Networks

We propose a convolutional network with sub-networks (CNSN), a convolutional neural network (CNN) that can be detached into sub-models on fly.Due to a conventional design of CNN, shapes of feature map are varied throughout the model.Therefore, the hidden layer within CNN may not directly process the input image without any modifications.To address this problem, we propose a step-down convolutional layer, a convolutional layer which acts as an input layer for the sub-model.The step-down convolutional layer reshapes the input image to a preferred representation to the sub-model.To train CNSN, we treat the base-model and sub-models as different models.We separately forward-and back-propagate each model.By using multi-model loss, a linear combination of losses from base-and sub-models, we can update weights that can be utilized in both base-and sub-models.
The Correlation Between Phonological Knowledge and Pronunciation Ability

The purpose of this research is to know whether there is a significant correlation between phonological knowledge and pronunciation ability. The method used in this research is correlation design. Variable X is the students’ phonological knowledge and variable Y is students’ pronunciation ability. Population of this research is all of the fourth semester students. There are 80 students as population and the writer took 20 students as the sample. The data are analyzed using Pearson Product Moment formula to know whether there is a correlation between phonological knowledge and pronunciation ability of the students. The result showed there is a correlation between phonological knowledge and pronunciation ability of the students. Based on the calculation that is obtained, rxy value from variable X and Y is 0,223. It is categorized as a low correlation. Whereas the result of the calculation use tcount formula. The tcount value is 1,002. It means that there is no a significant correlation between X and Y variable.
Model Prediksi Kelulusan Mahasiswa Menggunakan Decision Tree C4.5 dan Software Weka

In this research, we build a model to predict graduation status of students in Institut Bisnis dan Informatika Kesatuan using C4.5 decision tree algorithm. The prediction model is built using students’ GPA from semester 1 to semester 4, for students with admission year of 2013 to 2016. The prediction model obtained is a decision tree with 26 rules, with the attribute IPS_4 being the attribute that determines the graduation label of students. This prediction model yields an accuracy of 73%, a result that is not good enough. This result is probably due to unbalanced proportion of the data used.
FORMATION OF DIGITAL CULTURE OF MILITARY UNIVERSITY STUDENTS

The article considers the problem of introducing new digital technologies which is relevant for the Armed Forces of Russia. Military university students are required to receive training in working with high-tech equipment, monitoring the work of computerized military equipment, and comply with regulations for the professional information protection. The training of competent military professionals requires the synthesis of theoretical and practical training implemented through digital technologies. Components of students’ digital proficiency and approaches to their formation are considered. The results of surveys of digital proficiency formation among students and teachers of a military educational institution are presented. The hypothesis is confirmed that the introduction of FSES 3++ will provide for the training of competent military professionals with digital proficiency.
KETERAMPILAN WARGA BELAJAR DALAM PEMBELAJARAN ONLINE

The purpose of this study was to describe the readiness of citizens to learn the package C program in participating in online learning at PKBM Songgo Langit Bengkulu City. The subjects of this study were three people. This research is a qualitative case study research. Data collection techniques are interview techniques, observation and documentation. Data analysis techniques include data reduction, data presentation, and drawing conclusions. checking the validity of the data using triangulation techniques. The results showed that first, there was the ability of learning citizens to understand and use online learning applications, the ability was included in the cognitive realm. Second, learning citizens had skills in online learning, skills included in the psychomotor realm. Third, the media used in online learning is privately owned and the media is always checked before starting the lesson. Fourth, learning citizens attend and collect assignments on time, and do not cheat during exams and obey the rules. Fifth, in Talang Pauh Village, Bengkulu Tengah District, the network the internet is adequate but during bad weather the network connection is not stable. In online learning, citizens learn to use their own costs for internet quotas
Nonrigid Medical Image Registration using Adaptive Gradient Optimizer

Medical image registration has a significant role in several applications. It has sequential processes, including transformation, similarity metric calculation, diffusion regularization, and optimization of the transformation parameters (i.e., rotation, translation, and shear). The optimization process for determining the optimal set of the transformation vectors is considered the main stage affecting the performance of the registration process. Hence, medical image registration can be deliberated as an optimization problem for computing the geometric transformations to realize maximum similarity between the moving image and the fixed one. In this work, a mono-modal nonrigid image registration using B-spline is designed for the alignment of Computed Tomography (CT) images of thorax using Adaptive Gradient algorithm (AdaGrad) optimizer. In addition, a comparative study with other first order optimizers, such as Stochastic Gradient Descent (SGD), Adaptive Moment Estimation (Adam) algorithm (AdaMaX), AdamP, and RangerQH were conducted. Also, a comparison with the limited memory Broyden-Fletcher-Goldfarb-Shannon (LBFGS) as a second order optimizer was also carried out. The results showed the superiority of the AdaGrad optimizer by 56.99% and 48.37% improvement in the compared to the target registration error (TRE) compared to the SGD, and the LBFGS optimizer, respectively.
SYSTEMS OF INNOVATIVE DEVELOPMENT OF MATHEMATICAL EDUCATION IN PRIMARY SCHOOLS

The article discusses mathematical literacy in the framework of international assessment studies PISA, TIMSS and STEAM. In this direction, great importance is attached to the expansion of students’ worldview, the development of consciousness and logical thinking, the formation of basic competencies and the work being done in this area.
Correction to: A gaze-based interactive system to explore artwork imagery

A Correction to this paper has been published: https://doi.org/10.1007/s12193-021-00373-z
Infectious Disease Control for International Students : Focusing on COVID-19 Response by University in Busan

Background & Objectives: The purpose of this study is to present infectious diseases control and crisis response plans for International students by investigating the management of International students and prevention of infectious diseases targeting International students infectious disease control managers at universities in Busan in a situation where the risk of infectious diseases increases due to the spread of COVID-19. Methods: The data were collected from 14 International students infectious disease control managers at universities in Busan. Statistical analysis was done by using SPSS 22.0. Results: There were differences in the importance and performance of COVID-19 infectious disease control and support work by university. Conclusions: It is necessary to integrate management of support and roles of infectious diseases control for foreign students. Furthermore, strengthening the competence of experts and communication tools with international students are needed.
Draft of Rainbow electronic signature standard and its main properties and application possibilities

According to the results of the second stage of the international competition for research and development of standards for asymmetric cryptographic transformations of the post-quantum period, the Rainbow electronic signature (ES) mechanism received a positive assessment and recognition as a finalist. Its important advantages over other post-quantum ESs consist in less complexity of direct and inverse transformations, i.e., signature generation and verification, as well as significantly reduced signature length. At the same time, the length of its public key is quite large. Therefore, it is thought that Rainbow is not suitable as a general-purpose ES algorithm to replace the algorithms currently defined in FIPS 186-4. In particular, large public keys make certificate chains extremely large. However, there are applications that do not need to send keys too often, so this disadvantage in these cases may be insignificant. Under these conditions, the Rainbow ES mechanism can find application, including that one increasing the diversity of postquantum ESs. Also, it is significantly problematic to limit the security levels of Rainbow ES 256 bits against classical and 128 bits against quantum cryptanalysis.&#x0D; The subject of this article is the analysis and generalization of designs of the Oil-Vinegar public key authentication systems mechanism based on the Rainbow ES use. This is an important direction in creating secure and efficient authentication systems for practical applications using public keys, such as inexpensive smart cards, when speed is required in the production and verification of ES. A feature of such authentication mechanism is the implementation of the idea of a multilevel Oil-Vinegar system. It is believed that the ES-based authentication system should be more secure in terms of cryptographic stability and more efficient in terms of widespread use in low-power, etc. applications. The importance of solving this problem lies in the potential use of the Rainbow mechanism as a secure and highly efficient public-key authentication system based on ES.
Latvian Learner Corpus (LaVa)

The corpus includes almost 1000 texts created by foreign students studying at a Latvian higher education institution who are learning Latvian as a foreign language in the first or second semester. The morphologically annotated texts have been checked manually; the language learners' errors have been manually annotated.