Reviewerly/exHarmony huggingface dataset:
CYBERCRIME IN NIGERIA; A SOCIO LEGAL ANALYSIS WITH FOCUS ON JIGAWA STATE

Cybercrime has assumed a new dimension amongst youths in recent time. It was for this reason that the National Assembly had in 2015 enacted an Act known as Cybercrimes (Prohibition and Prevention) Act, 2015 with a view to combating cyber offences in Nigeria. Despite this enactment, cybercrimes are still on the rise in Jigawa State and Nigeria at large, hence, the need to go beyond the law in a quest to find an effective way for the prohibition, prevention and detection of cybercrimes in Jigawa State. Many factors could be adduced as being responsible for the crime in Jigawa State. A sample size of 200 was selected through the use of multi stage sampling procedure. Questionnaire and In-depth interview guide were the main servants, businessmen/women and cyber operators, cyber offenders, private organizations. The specific aim is to investigate the factors responsible for cybercrime, ascertain the consequences of cybercrime, identify the various techniques used in cybercrime and examine the strategic measures that can be put in place towards reducing cybercrime. Findings were made, some of them include that there is a linkage between age and participant in cybercrime. Individuals are aware cybercrime exist. Quest for quick money is a major factor that pushes youth into committing cybercrime. The study recommended among other that the government, Non-governmental Organizations (NGOs) and stakeholders should ensure that they put relevant programmes and campaigns which will make people to be more aware about cybercrime. The governmental, Non-governmental Organizations (NGOs) and stakeholders should ensure that they provide job opportunities for all age categories. Furthermore, families being the primary agent of socialization should be willing to monitor and give their children the required education on crime and also monitor the kind of friends they keep.
Philological Competences Of Librarians: Are They Reflected In Russian Regulations?

The article overviews modern domestic and foreign scientific literature devoted to the content of higher library education.They reflect strengthening of librarians' positions in the process of developing professional competencies.The structure and content of philological knowledge are revealed.It has been found that the following philological components are most in demand amid public libraries activities: 1) communication science used in studying the library as a communicative social institution and the features of manifesting the library communicative function is applied in organizing the processes of external and internal communication in library institutions; 2) literary criticism used to guide the librarian in historical and modern literary processes is required for document examination and reading recommendations development; 3) folklore studies are important for orientation in the documented information array of Russian and world folklore, identification of regional folklore specifics in the implementation of local history library activities.Analysis of the section "Qualification characteristics of positions in culture, art and cinematography" of the "Unified competency catalogue of managers, specialists and employees" has led to the conclusion that the increasing integration of philology and librarianship is not properly evidenced in the regulatory basis for library positions.The article formulates philological requirements for a public library specialist, which, according to the authors' perspective, should be reflected in the professional standards of librarians and information activities being developed in Russia.
Desempeño de los docentes de Asistencia Educativa Especializada con estudiantes con discapacidad durante la pandemia COVID-19

Inclusive education welcomes diversity at school and the actions of the Teacher of Specialized Educational Assistance (SEA) are important for the effective inclusion of students targeting Special Education, who are those with disabilities, global development disorders or high skills / giftedness. In 2020, schools needed to suspend face-to-face classes due to the COVID-19 pandemic. This research was proposed with the objective of analyzing the performance of SEA teachers with students with disabilities in Basic Education during the period of social isolation imposed by the pandemic of COVID-19. This study consists of a descriptive, quantitative and qualitative research developed through the application of a virtual questionnaire with the Teachers of AEE. 100 teachers from SEA who worked in Basic Education participated. In the results and discussion of this study, the profile of participating SEA teachers is presented first and then their performance during the period of the pandemic with students and their families, as well as their performance in relation to school demands inherent to the function. Teachers showed concern that students maintained a study routine for their learning, as well as showing sensitivity to the difficulties that many families face in relation to the internet and equipment for online classes. They sought then, viable alternatives in each reality so that this was no longer an aspect of exclusion, in the face of so many obstacles already faced by families in this period. It is recommended to expand research with the participation of the ESA Professor in different regions this country.
Adaptive Trust Management and Data Process Time Optimization for Real-Time Spark Big Data Systems

Applications supporting businesses, smart systems, social networks, and advanced video applications such as eXtended Reality (XR) require large amounts of data processing to be provided in real-time. Therefore, the processing speed of big data systems is more important than ever. On the other hand, protecting a big data system is not easy, as various types of nodes and clusters are supported by various wired and wireless networks. Commonly security procedures slow down the response time of big data networks, and therefore, enhanced security and performance speed techniques need to be co-designed into the system. In this paper, a trusted streaming adaptive function (TSAF) is proposed that uses a trust management scheme to identify malicious nodes in Spark big data systems, exclude them from job/task processing, and calculate the number of nodes that can satisfy the process’s object completion time. The TSAF scheme shows an improved processing performance when there are attacks on the big data system compared to other existing real-time big data processing schemes. For the case of no security attack, the results show that the processing time of TSAF is faster by about 1 ~ 2% compared to the existing big data processing schemes when the process completion object time is set to 0.5 s. Even when the ratio of malicious nodes performing security attacks on worker nodes reaches 0.5, the results show that TSAF can satisfy over 75% of the tasks within the object time, which is significantly higher compared to the existing big data processing schemes.
Trials and Tribulations of Developing Hybrid Quantum-Classical Microservices Systems.

Quantum computing holds great promise to solve to problems where classical computers cannot reach. To the point where it already arouses the interest of both scientific and industrial communities. Thus, it is expected that hybrid systems will start to appear where quantum software interacts with classical systems. Such coexistence can be fostered by service computing. Unfortunately, the way in which quantum code can be offered as a service still misses out on many of the potential benefits of service computing. This paper takes the traveling salesman problem, and tackles the challenge of giving it an implementation in the form of a quantum microservice. Then it is used to detect which of the benefits of service computing are lost in the process. The conclusions help to measure the distance between the current state of technology and the state that would be desirable in order to have a real quantum service engineering.
다문화장병에 대한 연구 : 다문화수용성 진단도구 개발을 중심으로

The present study aims to explore controversial issues concerning receptivity by utilizing a scale specifically designed for Korean military personnel and interviewing commanders who have experience with soldiers. For this purpose, a receptivity scale, initially developed for Korean high school students by Park and Lee (2018), was modified and validated for the study. A survey questionnaire with 22 items, reflecting cognitive, emotional, and behavioral aspects of receptivity in the army, was also employed. Questionnaire data showed that: 1) most military personnel have positive perceptions of soldiers; 2) experience with families seem to have positive influences on the military personnels overall receptivity; 3) non-commissioned officers show the highest amount of receptivity, followed by officers, then soldiers; and 4) age, rank, and level of education positively correlate with receptivity. Interview responses with officers revealed that the multicultural soldiers seem to show various characteristics affected by their individual socio-economic situations, resulting in their varying extents of adjustment to the army. The results also indicated that these personal factors should be carefully considered in association with adjusting to military units, rather than providing a series of lectures and/or care programs targeting the soldiers. Finally, the study concludes with practical measures to be considered.
Mobile Learning in Business English its Effect to South American Students’ Learning Styles in the COVID 19 Pandemic Era: Its Economic Implications

The adoption of M-learning and perceptual learning style preferences of South American EFL learners in a business English course were studied empirically. A descriptive correlational research design was used in this study. Data were gathered from 125 South American EFL students who were carefully sampled among a total of 184 students with mobile phones enrolled in a business English classes of selected South American university. The Mobile Learning Questionnaire (MLQ) and Perceptual Learning Style Preference Questionnaire were used in the study (PLSPQ). The data revealed that students in a business English course have a high level of M-learning adoption. It was discovered that respondents favor visual learning, group learning, individual learning, tactile learning, and auditory learning, with kinesthetic learning receiving the least attention. When students are grouped by gender and age, test results show that male respondents had stronger appeal to the utility, acceptability, enjoyment, facilitating conditions, and behavioral intention of M-learning than female respondents. Regardless of their age, respondents acknowledged the benefits of using M-learning in their business English course. Similarly, when the respondents are grouped by gender, no significant differences in learning style preferences are detected. However, the younger respondents prefer group learning, whilst the older respondents prefer individual learning. Finally, a link was discovered between M-learning usage and students' preferred learning styles. The positive link implies that the more M-learning students use, the more learning style preferences they have for group, tactile, visual, auditory, kinesthetic, and group learning tasks. This paper discusses the theoretical and educational consequences.
The Media and Ways to Teach Vocabulary for Students with Special Needs

It is known that students with special need have a different treatment in their teaching-learning process although, some of them with certain conditions can be allocated in the regular school. Therefore, the writer seeks the use of visual media in teaching vocabulary to students with special needs at SMKN 13 Malang with focused on the kinds of visual media and the ways of using visual media. This study was conducted on qualitative design to draw data of the topic discussed. It involved an English teacher who used visual media in teaching vocabulary in SMKN 13 Malang, and 12 students with special needs. The instruments to collect the data were observation field note and interview guideline; meanwhile, the methods to collect the data were non-participant observation and semi or partially structured interview. The result showed that the teacher used still pictures, poster, real object, and slides as the kinds of visual media. Also, she used some procedures with the following steps: (1) preparing the media and distributing to them equally or asking them to use it in turn; (2) delivering the rules of using the media; (3) teaching them vocabulary based on material by TPR method with imitating and modeling strategies; (4) giving rewards for their accomplishment during the teaching-learning process; (5) monitoring their understanding by asking them one by one to mention the vocabulary.
Institutions and Economic Performance: A Critical Evaluation of the Nigeria Economy

The objective of this study is to critically evaluate the impact of institutions on the economic performance of Nigeria.To achieve this, annual time series data were employed from 1999 to 2020.Six institutional quality indicators of Political Stability Index, corruption perception index, Voice and Accountability, Rule of Law, Regulatory Quality, and Ease of Doing Business indicator, were employed as the independent variables while the dependent variable, economic performance was proxied by Gross Domestic Product (GDP) Per Capita.The result indicates that all the indicators of institutional quality have positive impact on economic performance in Nigeria in the period under review.Political Stability Index, Corruption Perception Index, Regulatory Quality and Ease of doing business have significant impact on economic performance while Voice and Accountability as well as Rule of Law had insignificant positive effect.The study concludes that there is the need for strong institutions in Nigeria as it engenders higher economic performance, thus noting that institution is the oil that lubricates the engine of economic growth and development in an economy.
Expressing Intention Analysis on English Subject Class Students’ Speaking Ability at First Grade of SMKN 6 Padang

The objective of this research was to find out the students’ ability and students' difficulties in expressing intention. This research was conducted at SMKN 6 Padang, the academic year 2020/2021. The researcher conducted this research based on the finding in the classroom. Many students were not able to speak well in the teaching and learning activities in the classroom. This research used descriptive quantitative research. The population in this research was 68 students first years of SMKN 6 Padang, namely first kuliner one and first kuliner two. The result of the research showed that students’ speaking ability in expressing intention was moderate. (1) The ability of students’ in pronunciation was moderate (91.42% ). (2) The ability of students’ in choosing vocabulary was moderate (94.28%). (3) The ability of students’ in fluency was moderate (85.71%). (4) The ability of students’ in using grammar was moderate (88.57%). (5) The ability of students’ in comprehension was moderate (82.85%). The researcher concluded that students speaking ability in expressing intention was moderate.
Expressed breast milk ( EBM );finder mobile application

Expressed Breast Milk is breast milk pumped in a bag that can be stored and keep for future used. EBM Finder is anapplication that we develop to help mothers donate and find EBM at a specific platform as well as to provide a specificrepository to keep records of the receiver and donator of the milk. The development of application is guided through SystemDevelopment Life Cycle (SDLC) method which we identify the problems, gather the information, analyse and design thesystem, develop the software, test and maintain the system. This application expected to create an awareness on theimportance of breast milk towards child development and to ease the process of finding and donating breast milk amongMalaysian community.
Trends in development of higher education in modern Russia

Examined are the main development trends in the field of higher education, the originality of their manifestation in Russian society. The specificity of the continuity of learning is revealed, the directions of transformation of the educational process in the context of digitalization are determined. The topic of the effectiveness of the implementation of innovative methods in educational activities, such as case-method, tutoring, interactive training, was touched upon. The duality of the study is noted, since the introduction of innovative methods into the educational activities of Russian universities, on the one hand, has a positive effect on the state of the educational system, on the other hand, it gives rise to a tendency towards an increase in social and digital inequality in education and society as a whole, and also presupposes changes in requirements. to the teaching staff, which is now required first of all to be motivated and ready to master and use modern innovative methods in educational practice.
Attitude of Secondary School Teachers towards Value Pattern of Education In Relation to Gender, Teaching Effectiveness and Locality

The investigator intended to examine the attitude of secondary school teachers towards value patterns of education in relation to Gender, Teaching effectiveness and Locality. The investigator adopted a descriptive survey method for the current study. The researcher selected by the random sampling method for data collection following four High schools of Cuttack District. Further, the investigator adopted an attitude scale developed by Rensis Likert for Data collection. For analysis of data, the researcher used the ‘t’ test. The findings showed no significant difference is found between the attitude of Male and Female Teachers on Value Education. Similarly, there is no significant difference exists between Rural and Urban teachers in their attitude towards Value Education.
The effects of social media on production and operation management (pom) students academic performance in UUM

The purpose of this study is to examine the effect of number of hours spend on social media, number of study hours and CGPA on academic performance among students of Production and Operation Management (POM) in Universiti Utara Malaysia. The sample was 200 students in POM. Only 111 questionnaires were returned and used for further analysis using SPSS version 22.0 software. The findings of this study revealed that the number of hours spend on social media, number of study hours and CGPA have significant positive effect on academic performance. The results found that the number of hours study to be the most significant variable influencing academic performance the students of Production and Operation Management, Universiti Utara Malaysia.
화상인식을 이용한 Al-Si 주조용 합금의 화학조성 예측

In this study, we analyzed the chemical composition of Al-Si cast alloys from microstructural images, using image recognition and machine learning. Binary Al-Si alloys of Si = 1~10 wt% were cast and prepared as reference images in the dataset used for machine learning. The machine learning procedure was constructed with Inception V3 model. Repeated training to relate the microstructural images to their chemical composition was carried out, for up to 10,000 steps, to increase the reliability of the analysis. The peaks of similarity existed in the dataset with chemical compositions corresponding to the known target composition. The heights of the peaks became higher and the distribution of similarity became sharper with further training steps. This means that the weighted average of the chemical composition approached the target composition with increasing training steps. The correctness of the analysis increased with training steps up to 10,000, then was saturated. It was found that the chemical composition outside the dataset range could not be analyzed correctly. Analysis of the compositions between the datasets showed incorrect but reasonable results. The reliability of the chemical composition analysis using machine learning and image recognition developed in this study will increase when a vast range of reference images are collected and verified.(Received January 10, 2019; Accepted January 28, 2019)
High-precision optical convolution computing based on arbitrary-base hybrid analog-digital coding

Here, we proposed an arbitrary hybrid analog-digital coding method which can realize high-precision digital optical convolution calculation. In this framework, the initial high-bit matrix can be decomposed into a series of low-bit encoding matrices in temporal or spatial sequence. And the final convolution result is a hybrid analog-digital matrix and obtained after decoding similar to binary-decimal conversion. As an example, we implement the analog and digital convolution calculation of two 10×10 matrices in the optical convolution calculation system. Compared with analog optical computing, this coding method is further capable of improving the optical convolutional computing accuracy of large-scale matrices.
Design and Implementation of English Network Learning Platform based on knowledge management

With the development of modern information technology and network technology, the construction of online learning platform and English learning website is becoming more and more abundant. They provide learners with rich and convenient knowledge sources, but there are also many problems at the same time, the main reason is that it focuses on the "information" rather than "knowledge". Some famous knowledge management companies, IBM, lotus, Microsoft and other online learning suppliers at home and abroad have integrated learning and knowledge management on the whole. Many achievements have been made in the theoretical research of knowledge management in education field. However, for the related research of basic education, especially for teachers and students, the application of knowledge management is still in the initial stage. Therefore, it is necessary to introduce the concept of knowledge management into the network learning platform. The main part of this paper is the design and implementation of the network learning platform. In the design part, the author analyzes the learning needs of English learners, according to the knowledge management activities, the design process of the network learning platform, the structure of knowledge management activities, and then analyzes the four aspects of the personal knowledge management subsystem. The project coordination subsystem, knowledge base system and system management subsystem are designed in detail.