Reviewerly/exHarmony huggingface dataset:
Дигиталните комуникации – референтни компетентностни рамки и образователни политики

Digital communications are part of the mandatory knowledge and skills that determine the degree of readiness for professional realization today. At the same time, they are an indispensable condition for social inclusion and an increasingly distinct indicator in determining the degree of development of modern societies. The article reviews the different reference frameworks of knowledge, skills, and competences in the field of digital communications, media literacy, new communication technologies, as well as the policies of the European Union in this area. The different reference frameworks can be used as a reliable tool by educational institutions to increase media literacy in general, but also to create a mechanism for more specialized professional education in the field of communications, especially in journalism, PR, and communication management.
Innovativeness and Involvement: An Unexpected Purchase Due to a Referral Behavior

The study aims to explore the impact of product innovativeness and product category involvement on the purchase willingness of employees in the IT sector of Lahore. It explains the long-term vision of understanding the mediating role of self- enhancement and moderating role of received word-of-mouth referrals. The survey was conducted using employees who fresh graduates were working in IT companies of Lahore. Convenience sampling technique was used to collect data from 187 employees working in NetSol Technologies, Arfa Software Technology, Arbisoft and LEAD concept using questionnaires. To achieve study objectives, the time horizon opted was cross-sectional and questionnaire was used for the collection of data from employees. The quantitative research is linked with survey research strategy. To conduct data analysis, various statistical tools were tested such as reliability, correlation, and analysis of hypotheses statements. All these tests were run on Process Hayes and SPSS 21 computer program for analyzing data. Simple mediation (Model 4) and moderated mediation analysis (Model 14) was also done to test for hypotheses. The results showed that product innovativeness and product category involvement have a positive and significant relationship with purchase willingness. The results for self-enhancement as a mediating variable supported the relationships between product innovativeness, and product category involvement with purchase willingness. The results for received word-of-mouth referrals as a moderating variable supported the relationships between product innovativeness and product category involvement with purchase willingness.
Optimal detection with squeezed state for quantum communication in thermal noise channel

Pulse position modulation (PPM) is widely adopted in free space optical transmission, and is a candidate for deep space transmission, also in quantum form. The change of signal photon number probability distribution is caused by thermal noise in quantum PPM format. We prove that squeezing improves state discrimination at fixed channel energy, and also in the presence of thermal noise. Then we compare the difference between coherent state and squeezed state in thermal noise and reveal that the squeezed state has better robustness. It is shown that for the fixed channel energy, the larger the squeezed parameter is not the better. For some given total channel energies, we further study and get the optimal squeezed parameter. Finally, combined with the actual situation, the simulation results show that, as a resource for noisy quantum communication channels, the squeezing operation can improve the quality of deep space quantum communication system with PPM.
Blockchain Network Based Hyperledger Fabric Techniques – A Survey

Blockchain is described as a cacheable, immutable that makes tracking transactions and assets in a corporate network easier. Hyperledger is a free software initiative that was designed to aid in the development of distributed ledgers based on blockchain technology. Hyperledger has several frameworks, including Hyperledger Fabric, Hyperledger Burrow, Hyperledger Indy, Hyperledger Sawtooth, and Hyperledger Grid. There are also other Hyperledger-based technologies used in blockchain. This research paper investigates the many applications and strategies employed by the Hyperledger Fabric blockchain network. There will also be a discussion regarding Hyperledger frameworks, future improvements, and overall applications used.
The Construction and Practice of Digital Economy Talents Training System Driven by the Combination of Disciplines and the Diversified Cooperation between Schools and Enterprises

The rapid development of digital economy, which combines information technology with economy, puts forward higher requirements for the training system of digital economy professionals. Therefore, interdisciplinary integration and multiple cooperation between schools and enterprises have become the new trend and feature of innovative digital economy talents training system. For this reason, this paper first discusses the construction of digital economy talents training system driven by the cross integration of digital disciplines and the multiple cooperation between schools and enterprises from the perspective of training objectives, training methods, education platforms and teaching systems; Secondly, from the perspective of interdisciplinary integration and multiple cooperation between schools and enterprises, it gives a multi module curriculum system for the training of digital economy professionals and a characteristic practical teaching system for the training of digital economy professionals; Finally, in order to better innovate the talent training system of digital economy specialty, we should improve the curriculum system of digital economy specialty; Deepen the cooperation between schools and enterprises; Strengthen the infrastructure construction of digital resource platform; The countermeasures and suggestions are put forward in four aspects of building a high-quality teaching team.
Binary Numbers, Vectors, Matrices and Tensor Products

In this part of the book, we briefly reviewed the general mathematical framework behind gates, bits and qubits. These topics form a recurring theme, and they are employed in all theBinarynumbers derivations of this book.
A Semantic Overlay on Blockchain for Supporting Traceability in Cross-border Logistics

Traceability is important for maintaining quality of logistics transactions and improving logistics efficiency. Implementing traceability for cross-border logistics is facing challenges when it lacks global centralized logistics information management services. Blockchain techniques enable a decentralized cross-border logistics management by publishing logistics transaction on blockchain transactions to support privacy protection and traceability. Logistics transactions involves complex interactions among participants. How to publish those interactions on a blockchain platform is a challenge. We propose a semantic overlay model that publishes a logistics transaction as a semantic link on a blockchain platform for supporting traceability. A semantic link schema model is designed and published on the blockchain platform to validate semantics links for ensuring the correctness of logistics transaction execution. The proposed semantic overlay on blockchain supports further extension of semantic computing in decentralized applications.
Security Analysis for Virtual Machine Allocation in Cloud Computing

A huge number of cloud users and cloud providers are threatened of security issues by cloud computing adoption. Cloud computing is a hub of virtualization that provides virtualization-based infrastructure over physically connected systems. With the rapid advancement of cloud computing technology, data protection is becoming increasingly necessary. It's important to weigh the advantages and disadvantages of moving to cloud computing when deciding whether to do so. As a result of security and other problems in the cloud, cloud clients need more time to consider transitioning to cloud environments. Cloud computing, like any other technology, faces numerous challenges, especially in terms of cloud security. Many future customers are wary of cloud adoption because of this. Virtualization Technologies facilitates the sharing of recourses among multiple users. Cloud services are protected using various models such as type-I and type-II hypervisors, OS-level, and unikernel virtualization but also offer a variety of security issues. Unfortunately, several attacks have been built in recent years to compromise the hypervisor and take control of all virtual machines running above it. It is extremely difficult to reduce the size of a hypervisor due to the functions it offers. It is not acceptable for a safe device design to include a large hypervisor in the Trusted Computing Base (TCB). Virtualization is used by cloud computing service providers to provide services. However, using these methods entails handing over complete ownership of data to a third party. This paper covers a variety of topics related to virtualization protection, including a summary of various solutions and risk mitigation in VMM (virtual machine monitor). In this paper, we will discuss issues possible with a malicious virtual machine. We will also discuss security precautions that are required to handle malicious behaviors. We notice the issues of investigating malicious behaviors in cloud computing, give the scientific categorization and demonstrate the future headings. We've identified: i) security specifications for virtualization in Cloud computing, which can be used as a starting point for securing Cloud virtual infrastructure, ii) attacks that can be conducted against Cloud virtual infrastructure, and iii) security solutions to protect the virtualization environment from DDOS attacks.
CURRENT TENDENCIES OF SOCIO-CULTURAL DEVELOPMENT AND PROSPECTS OF MODERN EDUCATION

Introduction, The initial thesis of the study is the statement of the fact that socio-cultural and educational processes are inextricably linked and mutually determined. In this regard, it is promising to consider current trends in socio-cultural development as important determinants for the development of modern education. The purpose of the research is a systematization of current trends in socio-cultural development as determinants of modern education. The research methods are determined by the theoretical nature of research, with the involvement of general theoretical and analytical research methods. The results of the research show that understanding of the content of socio-cultural transformations today and in the future, first, paves the way for the most appropriate and productive use of traditional and innovative educational technologies in practical teaching through the most acceptable combination of elements of already known systems and technologies, methods of teaching and education, and secondly, allows to determine the main strategic guidelines of philosophical and pedagogical research. The originality of the research lies in the fact that the paper reveals correlations between certain trends in socio-cultural development and promising educational strategies or practical approaches. It is shown that immersion in the discourse of modern socio-cultural development contributes to the formation of a fundamentally new understanding of the methodology of modern education as a multimethodology. Conclusions: the research identified the following trends in socio-cultural development: 1) the emergence of new thinking, awareness of the new role and place of man in the world; 2) intensive development of human sciences; 3) changing the socio-political situation in the world; 4) change in socio-economic conditions of human life; 5) more tolerant attitude (tolerance) to the manifestation of unusual thoughts, behavior and appearance of individuals; 6) avalanche of information and change of means of communication; 7) the need to constantly learn, retrain, change your life; 8) increasing the educational level of the population and educational qualifications. These trends are important determinants of modern education
Recording Evidence through Information Technology and its Implications in Pakistan: An Assessment

Evidence at glance is the proof which may be admitted that is both relevant to case in determining whether or not something is more or less true and is reliable, that it can be authenticated. It is explained as a statement offered to prove the words themselves because of their legal effect for this purpose the statement is not considered hearsay. Digital evidence refers to evidence that is not in substantive form, in today’s world Computers are manipulated for commission of offence/crime. It is a well-known phrase that “iron cuts iron” here it means that now the law enforcement agencies utilize computers to fight computer generated crimes that are commonly known as cybercrimes. In this context, this paper analyses recording evidence using information technology in Pakistan. The objective is to analyse digital evidence, its kinds and significance of its use. An analytical method will be followed.
The Power of Story Face Strategy and Concept Mapping Strategy in Teaching Students’ Reading Skill

The goal of this study is to determine the relationship between independent and dependent variables. To investigate the impact of the story face strategy and the concept mapping strategy on second grade students' reading comprehension at senior high school. This is an experimental study with a pre test and post test design. The research sample consisted of second grade students (2 Sains classes) during the academic year 2018/2019, and the purposive sampling technique was used. The effect of Story Face Strategy and Concept Mapping Strategy toward reading comprehension based on the data indicates that there was significant effect between data in pre-test and data taken from post-test of the students' achievement. The value of the test was highly significant showed as 19.088 and the t-table was showed as 2.093. The value score of t-test was quite higher than the t-table (19.088 2.093). It is concluded that the Story Face Strategy and Concept Mapping Strategy are effective in teaching reading skill to senior high school second grade students.
Software Measurements from Machine Learning to Deep Learning

Software measurement (SM) is an umbrella activity during the entire software development cycle. Measurements and metrics of the attributes are indispensable for successful completion of project and effective delivery of software product. This chapter discusses SMs using deep learning (DL) techniques from the perspective of an empirical study. It is evident that an inaccurate prediction or estimation during the software development processes leads to loss of money and loss of projects. Since the beginning of software engineering, a wide range of methods are being deployed for measuring the software attributes. At present, the conventional techniques are not so apt for SMs due to excessive complex attributes of very large software. Machine learning (ML) has been the answer to all market needs in the past 30 years. It is noticed that ML is quite good to perform measurements in software engineering processes, but it is not the best method and needs enhancements. DL is the extension to ML, which is now being extensively used for SMs. The chapter begins with an introduction to ML and DL techniques and their applications in SMs empirically. Then, it highlights the literature work carried out in the field of empirical SMs using DL techniques. One of the most important DL techniques is convolutional neural networks which is discussed as a case study. This study provides a practical orientation to the readers about the implementation of DL technique to SMs.
Open Challenges in Software Measurements Using Machine Learning Techniques

Software measurement (SM) is a highly popular research field in software engineering. It revolves around either measuring the quality or measuring the quantity of a software and its attributes. The qualitative measurement of software has evolved as a research field software defect prediction (SDP). SDP highlights the modules that are prone to errors and may cause a failure of future software products. SDP allows focusing on the testing efforts on the predicted faulty modules and reduces the testing time and cost. Machine learning algorithms have found a fertile ground in the SDP field and yielded so many variant algorithms for effective SDP. Quantitative measurement has evolved as a software effort estimation problem. Since the past three decades, ML has been prominently deployed in SM. This work is dedicated to the identification of the open challenges 20in SMs using machine learning techniques and the remedies proposed in the literature. This chapter reviews the current state in SM using ML to discover the open challenges. Later, the challenges are elaborated and possible remedies from the literature are discussed. The detailed insight into each challenge is offered by giving suitable case studies from real-life experiments. With each case study, the proposed solution is also offered. Later the chapter is concluded with special remarks on future work.
Conclusion and Perspectives

This conclusion presents some closing thoughts on the key concepts discussed in the preceding chapters of this book. The book introduces the role of the feedback mechanisms and modes of Random Lasers (RLs), which are of paramount importance for the understanding of some of the analogies that were exploited between photonics and statistical physics. It describes traditional subject in statistical mechanics, namely spin-glasses and phase transitions between spin-controlled magnetic states, such as paramagnetic or ferromagnetic states, to the spin-glass phase in the framework of photonics, using once again the RLs and Random Fiber Lasers (RFLs) as photonic platforms. Floquet phases in RFLs is still an open and challenging theme for experimentalists and theoreticians. So far, such effect has not been reported in RLs.
IT GOVERNANCE CAPABILITY LEVEL IDENTIFICATION OF COBIT 2019 AT THE RSUP PROF. DR. R.D. KANDOU, MANADO, NORTH SULAWESI

In terms of technology, governance can be implemented effectively and efficiently if it can provide functionality or value that applies to businesses of all sizes and types. IT governance design can help you explore design factors that influence governance and includes a workflow for planning a governance system for your enterprise. Control Objectives for Information and Related Technologies (COBIT) is a framework created by ISACA that contains guidance or guidance documents that may be useful to auditors, users, and management. COBIT is an internationally recognized and applied best practice for information, information technology, and organizational risk which can be used to define information technology to maximize IT control. As it is required to improve IT service, the design of IT governance was conducted at the Central Unit Hospital (RSUP) Prof. Kandou, Manado, North Sulawesi, using the latest version of COBIT, COBIT 2019. The following is an explanation of the priorities of Malayang Hospital. Governance below 25 points is proficiency level 1. The results shows that there are five objectives that becomes main priority (reaching level 4): EDM03, APO12, BAI02, BAI03 and BAI05. These objectives are the ones recommended to be audited. The second tier that may also suggested to be audited are objectives with capability level 3: APO07, APO08, BAI01, BAI07, DSS01, DSS02 and MEA01.Keywords; COBIT 2019, IT Governance, RSUP Prof. Kandou Malalayang
Cervical Pap Smear Screening and Cancer Detection Using Deep Neural Network

Cervical cancer is considered as a common type of cancer among Indian female population. One of the main causes of cervical cancer deaths is late diagnosis. Early detection of the disease helps to ensure a faster recovery. Pap smear is the common screening method to identify the suspicious cases of cervical cancer at the initial stage. Hence, the development of an automated tool for fast screening of Pap smear images would be beneficial. In this work, an integrated convolutional neural network (CNN)-based approach is being proposed to detect and classify cervical cell abnormalities as per Bethesda system. The CNN-based YOLOv5(L) architecture is used for cell classification in multi-cell pap smear images. The proposed model is fine-tuned and tested on an exhaustive pap smear dataset SIPaKMED with five different classes of cells (parabasal, metaplastic, dyskeratotic, koilocytotic, and superficial intermediate). It can accurately predict the respective class of different types of cells present in the multi-cell test sample. The model has achieved an average mAP score of 0.59, which appears much better than other similar approaches.
The development of social competences within university education

In this article we will analyze the results obtained in our study on the development of social skills in university education. We aimed to analyze the data through the lens of the year of study and the field of education. We will also talk about social skills specific to each field of study.
USE OF GOOGLE SITES FRACTIONAL MATERIALS TO IMPROVE LEARNING EFFECTIVENESS OF ELEMENTARY SCHOOL STUDENTS

This study aims to analyze the use of media google sites to increase the effectiveness of learning mathematics fraction material in elementary schools. This research is quantitative and descriptive. The research subjects were 17 grade 4 elementary school students. Data collection is done by observation and interviews. The instrument was pre-tested and post-tested. Three tests were carried out, namely individual tests, small group tests, and field tests. There are results of comparisons of student activities before and during the learning process without using Google Sites media and using Google Sites media. The results of the pre-test and post test were analyzed using descriptive statistics and inferential statistics. The result of the analysis is that the use of google sites media can increase the effectiveness of learning mathematics fraction subject matter..
Corporate Social Responsibility and Employee Engagement: Evidence from Textile Industry

The aim of this study is to check impact of corporate social responsibility on employee engagement in textile industry of Sindh, Pakistan. Primary data gathered on printed questionnaire, total 230 questionnaire distributed out of them only 200 used for hypothesis testing after data cleaning process. Structural equation modelling is applied on gathered data in Smart PLS version 3. Findings, suggested two hypothesis the legal CSR and ethical CSR are found to have positive and significant impact on employee engagement in textile industry of Sindh, Pakistan. However, ethical CSR has more significant impact due to higher beta value in research model 1. Philanthropic CSR has insignificant impact in this study. These results highly supported for both concepts the CSR and employee engagement in textile industry of Sindh, Pakistan and this is how we can save the environment and increase employee engagement in better way.