Reviewerly/exHarmony huggingface dataset:
IMPLEMENTATION OF E-MODULE TROUBLESHOOTING NETWORK SERVICES BASED MOBILE AS ALTERNATIVE MEDIA

The purpose of this study was to: (1) knowing the level of practicality e-module based on mobile learning; (2) determine the effectivenes of using system e-module based on mobile learning in skill competency test TKJ. The research method experimental design one group pre-test and post-test. Data were collected through multiple choice test given to respondens before being given treatment and after being given treatment, then the data would then be analyzed using tes t. The results of the e-module practicality test throught a questionnaire distributed to students showed that the e-module based on mobile learning practicality used by students, while according to the assessment by the two media experts that e-module based on mobile learning was practical with an average score of 88.9%. Student readiness in UKK has been successfully improved using mobile learning-based e-modules. Increased readiness of students in UKK is in the medium category with a gain score of 0.4%. The T test results indicate that the Sig. (2-tailed) of 0.000 &lt;0.05. The mean pre-test value was 78.6456 with Std.Deviation 4.85293. The highest value is 90.00 and the lowest value is Std.Deviation 6.57910. The highest score was 96.67 and the lowest score was 73.33.
MEMBANGUN PEMAHAMAN TERHADAP KARYA SASTRA BERBENTUK FIKSI (TELAAH SIFAT DAN RAGAM FIKSI NARATIF)

Some people who appreciate literature still discuss about the real of each terms which often appear in literary works especially in narrative fiction, such as plot, story, character, characterization, and conflict. Eventhough, there are some people who appreciate literature who are not able to differentiate those terms. That is why, the purpose of this article is to explain the position of literary works in fiction, especially narrative fiction. Because of characteristic of fiction include all the aspects of story so in this article explain about story, plot, and conflict. Story as an even which followed by other even, then followed by another even, and so on, while plot as even series which is composed by cause and effect. Meanwhile, conflict is created by the interaction of each character. Without interaction, a conflict could not be created. So that is why, a conflict as a part of integral that should be stated in. Good or bad o a conflict depend on the criteria of conflict itself.
Investigation of Mathematics-Specific Trend Variables in PISA Studies with Neural Networks and Linear Regression

This study aimed to examine the importance levels of mathematics-specific trend variables in PISA (Programme for International Student Assessment) 2003 and 2012 in predicting mathematics performance across years with a two-step analysis method. The sample of the study was 9703 Turkish students (N2003=4855 and N2012=4848) selected by clustered and systematic sampling methods. As data analysis methods, multilayer perceptron and radial basis functions techniques of artificial neural networks and multiple linear regression were used. In the two-step analysis, first, the least erroneous model was selected as the analysis method. Then, variable importance analysis was performed with this method. The results with the lowest relative errors were obtained by the multilayer perceptron when compared to radial basis functions. The results of neural network analysis had similar or lower error rates when compared to multiple linear regression. In both PISA cycles, significant predictors were mathematics self-efficacy, mathematics interest, student-teacher relations in school, attitudes towards the school, mathematics self-concept, mathematics instrumental motivation, and teacher support in mathematics classes, respectively. The results were discussed in the light of relevant literature.
The Estimates Item Parameter for Multidimensional Three-Parameter Logistics

The purpose of this study is to measure the accuracy of item parameters and abilities by using the Multidimensional Three-Parameter Logistics (M3PL) model. M3PL is a series of tests that measure more than one dimension of ability (θ). Item parameter estimation and the ability to model M3PL are reviewed based on a sample size of 1000 and test lengths of 15, 25, and 40. Parameter estimations are obtained using the Wingen software that is converted to BILOG. The results show that the estimate obtained with a test length of 15 displays a median correlation of 0.787 (high). The study therefore concludes that the level of difficulty of the questions is higher or the questions given to respondents are more difficult, so many respondents guessed the answers. The results of the estimated grain parameters and capabilities indicated that scoring based on sample size greatly affects the stability of the test length. By using the M3PL model, parameters can be measured pseudo-guessing, parameters b and parameters a. MIRT is able to explain interactions between the items on the test and the answers of the participants. The estimated results of the item parameters and the ability parameters of the participants also proved to be accurate and efficient.&#x0D; Keywords: Multidimensional Three-Parameter Logistics (M3PL), distribution parameter, test length
The Analysis of Subject-Verb Agreement Errors on Students’ Writing Descriptive Text

Subject-verb agreement is a language system that is learned by students who study English, yet some students like the eighth graders of MTs Sunan Kalijaga still make errors in applying this rule in their writing.This study is aimed to find out the subjectverb agreement errors on students' writing descriptive text in the eighth grade in MTs Sunan Kalijaga Larangan Luar Larangan Pamekasan and to know the factors which cause their errors.In this research, the researcher used a qualitative approach with content analysis and descriptive design.The data was obtained by observing the descriptive texts written by the eighth graders.Then, discussing and analyzing the subject-verb agreement within the writing.After knowing the errors, some students and the teacher were interviewed to know the factors which cause such errors.Documentations were also used to legitimize the data.From 25 texts which were collected by the researcher, there are 92 omission errors in subject-verb agreement, 22 addition errors, 44 misformation errors, and 3 misordering errors.Additionally, those kinds of errors are caused by two main factors, namely word for word translation and the lack of grammar.Those factors relate to interlingual and intralingual factors.In brief, there are still many errors of subject-verb agreement among the students' writing of descriptive text in the eighth grade in MTs Sunan Kalijaga.
Cultivation and Improvement of College Teachers' Informatization Teaching Ability in the Era of Education Informatization 2.0

The advent of the informatization 2.0 era has brought greater vitality and vitality to the reform work in the field of education in my country. In order to achieve a more long-term development of higher education, high-efficiency teachers need to actively break through the restraint of the old education model and follow the development trend of the information age to improve their information teaching ability in order to ensure the orderly progress of teaching activities. New talents that meet the needs of society. This article starts with the specific elements of information- based teaching ability, and looks for specific ways to improve teaching ability, hoping to provide a reference for other educators.
Diversity, Inclusivity, Social Responsibility Aspects, and Outcomes of a Mobile Digital Library and Information Service Model for a Developing Country

The provision of library services through rigid compartmentalisation of academic, public, school, and special libraries operating in one country can be cost-effective if a country has strong socio-economic, cultural, educational, and political structures. This arrangement is apparently a fallacy for countries that lack such structures, as is the case with Lesotho. This study examined the outcomes and the impact of the UNESCO-funded project titled Distance and Rural Learner-Teacher Support through a Mobile Digital Library (DRULETSMODIL) in Lesotho. The National University of Lesotho (NUL) Library proposed DRULETSMODIL whose objective was to reach out to NUL’s de jure distant teachers and learners. Additionally, the project expanded its scope to include library services to rural and poor communities. This paper outlines how use of the descriptive method, called the corporate social responsibility (CSR) principle, utilised the case study approach to interrogate DRULETSMODIL’s performance. The findings reveal that the project embodied various levels of diversity, inclusivity, and (mainly) social responsibility aspects of providing information for free, to the marginalized communities. From DRULETSMODIL’s three phases covering all the ten districts of Lesotho, positive outcomes were recorded. Through Information, Communication, and Technology apparatuses, DRULETSMODIL’s offerings, and the support of Participatory Initiative for Social Accountability (PISA), diverse information was easily and cost-effectively accessible. The project attracted various partners; beneficiaries included academic library users, secondary schools, and male and female youth and adults in the villages. The study recommends advocacy on CSR for all types of businesses and consideration of this model for developing countries.
A Multimodal Human Sensing System for Assisted Living

Introduction: Advancements in sensor technology have resulted in smart systems that can analyze, interpret and understand their surroundings for decision making.Using such intelligent systems for environments such as smart homes, device automation, and hospitals, makes sensing human presence an essential requirement.Human sensing becomes critical, especially in assisted living scenarios such as in elderly care.However, mechanisms for human sensing are not foolproof because of the dynamic nature and ability of human beings to deliberately mislead the sensors.Objective: Objective of paper is to detect human presence in varying environment using non-intrusive sensors.Method: Besides, sensors have inherent limitations, due to either their mechanism of sensing or the environmental conditions, which can cause them to fail in human detection.These limitations can, at times, cause sensors to provide useless data to the system.In this paper, we propose an adaptive multi-modal human sensing mechanism which can autonomously identify and ignore unnecessary data from a set of sensors, thereby reducing computation complexity, reducing false alarm rate and yielding better performance.The effect of sensing when the human being is in motion has also been studied. Results:The results portrayed in the paper prove the efficacy of the proposed multi-modal system over its single sensor counterparts when used in changing environments and other proposed multi-modal human sensing.Conclusions: Human sensing is vital to many smart applications such as smart homes, traffic management systems, human-computer interfaces, etc.Since human beings, in general, are always on the move, the use of a dedicated sensor could fail to detect human presence, especially when the ambient parameters around the sensor change.In this paper, a multi-modal human sensing approach has thus been prescribed for overcoming this issue.This work described focused on automating the identification of inappropriate data relayed by some sensors under certain environmental conditions.Experiments reported include both cases -when the sensors are mounted on a static unit (door frame) and also on a mobile robot.The corresponding results reveal that a combination of sensors outperforms the use of individual dedicated sensors for human detection.Analyses of the walking speed of human being have also been studied which endorse the robustness of the approach.However, different directions of motion need exploration in future.
Identification of Key Factors in the Formation of an Individual Trajectory of Teacher Professional Development in Digital Environment Based on Big Data

The relevance of the study is determined by the need to build new methods for the study of educational activities. Currently, electronic document management has become a daily occurrence and all documents, including diaries, class journals and annual reports, exist in electronic form. These digital data occupy a very large memory and are constantly updated both in volume and in nomenclature. There are special methods for processing unstructured and partially structured data called big data. With proper processing, this data can be used in the further optimal design of the educational process. In this regard, this article is aimed at revealing the features of the use of big data methods in the educational process, as well as the rationale for the use of machine learning methods and neural networks to study the hidden patterns in educational process. The use of big data and machine learning methods will help determine the key factors in the formation of the individual trajectory of the teacher's professional development in the digital environment.
REVIEW OF EDGE DETECTION ALGORITHMS FOR APPLICATION IN MINIATURE DIMENSION MEASUREMENT MODULES

Continuous improvement of semiconductor chip technology allows more and more complex functions to be performed by an increasing number of modules with limited space and power.The deep miniaturisation and cost reduction of such modules has a positive impact on their application areas.They can be used, for example, inside machine tools for dimensional inspection of workpieces or deformation of the tool tip.Modules of this type must contain as many standard components as possible and, in particular, a processing unit responsible, among other things, for processing the optical sensor signal.For this reason, this study reviews and compares algorithms for object edge detection useful in embedded systems based on standard single chips, cores based on Cortex-M4F.The complexity of processing and the quality of algorithm output data was analysed.The results of experimental studies are presented.It was found that the required processing times significantly reduce the use of single chip embedded systems only for edge detection on small images.
Deep Learning Model Trained on Mobile Phone- Acquired Frozen Section Images Effectively Detects Basal Cell Carcinoma

Background: Margin assessment of basal cell carcinoma using the frozen section is a common task of pathology intraoperative consultation. Although frequently straightforward, the determination of the presence or absence of basal cell carcinoma on the tissue sections can sometimes be challenging. We explore if a deep learning model trained on mobile phone-acquired frozen section images can have adequate performance for future deployment.
Expert System for Simulation of Pest and Disease Diagnosis in Onion Plant Using Putty Shafer Method and Rule-Based Approach

The expert system is trying to adopt a system of human knowledge into a computer so that the computer can solve problems like the experts. The expert system is well designed in order to solve a particular problem by mimicking the work of the expert. The development of an expert system is expected to be resolved problems with the help of experts. The problems addressed by an expert not only the problems that rely on algorithms but sometimes elusive problems. An expert with knowledge and experience can overcome these problems. The application of an expert system in this study is made to diagnose pests and diseases in onion plants based on the web. The Data Collection method used is literature studies, interviews and observation. The stages of research used are literature review, data processing analyst, and Onion analyzed and photographed which then is uploaded and analyzed, Dempster Shafer method, application development, evaluation. In the last stage is the pilot study conducted using a Blackbox method and testing to the user. The result of the research is in the form of an expert system application that can diagnose pests and diseases of onion as many as 7 types of diseases. The output system is in the form of onion disease searching result obtained based on the symptoms inputted by the user. The result of Blackbox Testing is all functions of the application successfully run well. Testing to the users rated well both appearance and information of the application.
Pedagogical practice as a leading component of life-learning training of a foreign language teacher at the university

Випуск 75'2020Серія 5. Педагогічні науки: реалії та перспективи sons of Ukrainian literature to become an effective factor in the national identification of the student, it is necessary to work carefully on the content of the lesson.The article reviews the program material -from folklore heritage to the latest literature in terms of its impact on the education of a conscious citizen -a patriot, a nationally conscious individual who feels part of a large "We are a community".The material of the article considers problem-thematic program blocks, the emphasis is on some literary and folklore works that have the strongest potential for national identification of adolescents (thoughts, ballads, historical songs, literary works on historical themes, patriotic lyrics, etc.).Thus, the article proves that the program material on Ukrainian literature, provided with the correct placement of emphasis in teaching, can be a powerful factor in the formation of the national identity of a young citizen.
Efficiency and Automation in Threat Analysis of Software Systems

Context: Security is a growing concern in many organizations. Industries developing software systems plan for security early-on to minimize expensive code refactorings after deployment. In the design phase, teams of experts routinely analyze the system architecture and design to find potential security threats and flaws. After the system is implemented, the source code is often inspected to determine its compliance with the intended functionalities. Objective: The goal of this thesis is to improve on the performance of security design analysis techniques (in the design and implementation phases) and support practitioners with automation and tool support. Method: We conducted empirical studies for building an in-depth understanding of existing threat analysis techniques (Systematic Literature Review, controlled experiments). We also conducted empirical case studies with industrial participants to validate our attempt at improving the performance of one technique. Further, we validated our proposal for automating the inspection of security design flaws by organizing workshops with participants (under controlled conditions) and subsequent performance analysis. Finally, we relied on a series of experimental evaluations for assessing the quality of the proposed approach for automating security compliance checks. Findings: We found that the eSTRIDE approach can help focus the analysis and produce twice as many high-priority threats in the same time frame. We also found that reasoning about security in an automated fashion requires extending the existing notations with more precise security information. In a formal setting, minimal model extensions for doing so include security contracts for system nodes handling sensitive information. The formally-based analysis can to some extent provide completeness guarantees. For a graph-based detection of flaws, minimal required model extensions include data types and security solutions. In such a setting, the automated analysis can help in reducing the number of overlooked security flaws. Finally, we suggested to define a correspondence mapping between the design model elements and implemented constructs. We found that such a mapping is a key enabler for automatically checking the security compliance of the implemented system with the intended design. The key for achieving this is two-fold. First, a heuristics-based search is paramount to limit the manual effort that is required to define the mapping. Second, it is important to analyze implemented data flows and compare them to the data flows stipulated by the design.
The Effect of Hybrid Computing on Internal Control Systems in Jordanian Commercial Banks

The current study aimed to identify the effect of hybrid computing on internal control systems in Jordanian commercial banks, where the study community consisted of all Jordanian commercial banks listed on the Amman Stock Exchange, which is (13) commercial banks in 2019, and a comprehensive survey method was used in Choosing a study sample, as the sample included all of the study population.As for the inspection and analysis unit, which is (148), it consisted of individuals working in the higher administrative levels (general managers and executive directors), and the middle administrative levels (managers and heads of the divisions of the Information Technology Department, Risk Management and the Department of Internal Control) in the Jordanian commercial banks.For the purpose of analyzing study data and testing hypotheses, the Statistical Package for Social Sciences (SPSS) program was used in various statistical analyzes, where descriptive statistics and internal consistency factor (Cronbach alpha) were used as well.Multiple linear correlation test using Pearson correlation coefficient was used to test the presence of the Multicollinearity phenomenon, as well as Multiple and Stepwise Linear Regression.The study reached many results, the most important of which was the derivation of a unified concept of hybrid cloud computing, one of the most important dilemmas facing thinkers due to the difference in its characteristics and changing services depending on the model of its publication, as well as its continuous growing role in banks and companies as a development input which makes it applicable widely.Also, there was an emergence of the effect of hybrid computing (technology, finance, strategy requirements, organizational context, and risks) on internal control systems in Jordanian commercial banks.The most important recommendations are embodied in the need for Jordanian commercial banks to highlight the expected benefits from adopting hybrid cloud computing to build more positive attitudes towards that computing without neglecting their ease of use by finding the appropriate and suitable combination of their resources and technological capabilities to raise the efficiency of the control systems applied in them.
O cenário de pandemia da Covid-19 e o protagonismo de trabalhadores de saúde

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Teaching the Essence of Software Development

We present our plan to introduce Essence in our courses in software engineering, including a plan to evaluate our results and develop Essentialized tools.