Reviewerly/exHarmony huggingface dataset:
TANTANGAN JURNALIS EKONOMI DALAM PEMBERITAAN E-COMMERCE (Studi Analisa Nilai Berita Kompas.Com Periode Mei 2019)

This study examines the issueof the challenge of e-commerce reporting among economic journalists. The author reviews the challenge of selecting e-commerce news values by description analysis method with qualitative approach for the periode of May 2019 news articles according to e-commerce keyword search. The author found 28 articles discussing e-commerce on rubric mony with the sub-categories whats new, spend smart, earn smart, and work smart on http://money.kompas.id/. The results of this study showed only three news values selected by the Kompas news portal journalists, namely timeliness, consequence, and proximity. Journalist use an e-commerce perspective in describing articles that are published online. The main challenge of portal journalists is the length of articles written by incompatible with the effective read duration.
Lawyer Apar Gupta on what the Indian Supreme Court's order on COVID-19 coverage means for journalists 1

Apar Gupta, Executive Director, Internet Freedom Foundation, is a lawyer who is an expert on digital rights and online freedom. In this interview he argues that the Supreme Court direction that media should report the government's version on the pandemic is of grave concern for press freedom. The court ruled that media organisations are required to defer to the government version on the pandemic, and blamed “fake news” for recent migration from the country's cities, according to reports. The Supreme Court order is of grave concern to press freedom, which has already come under increased challenges during the time of the coronavirus pandemic. The fundamental premise of this direction arises from a submission by the government that it was fake news that led a large number of migrant labourers who wanted to return to their homes in far and distant villages.
Development of novel cryptocurrencies for IoT-blockchain-enabled smart grid platforms

The concept of the Internet of Things (IoT)-blockchain-enabled smart grid has been introduced as a current vision of the usual power grid to solve a systematic way of incorporating renewable and green energy technologies. To secure energy from anywhere at any time, there is an approach called energy internet (EI), where the smart grid is connected through the internet an innovative and emerging technology. The main goal of this approach is to improve the energy sector more efficient and available to improve the environmental and economic conditions of our society. There are many challenging issues in the existing centralized energy grid system like coordinating and integrating a huge number of growing grid connections. Accordingly, the IoT-blockchain-enabled smart grid is going through an alteration from a centralized topology to a decentralized topology. Precisely, more development has been introduced as cryptocurrency initiatives are emerging in trials of products and projects. Furthermore, the IoT-blockchain-based model has a few excellent features which cause a favorable application for the smart grid model. Here we aim to provide an IoT-blockchain-based platform for smart grid and identified some significant security issues of smart grid scenarios.
STEM Teachers’ Experiences with Online Teaching During the COVID-19 Pandemic: A Canadian Context

The worldwide imposed lockdowns forced schools and universities to digitise conventional teaching in a very short time and to convert teaching and learning formats partially or completely to Distance Learning. With 22 double blind peerreviewed articles of researchers reporting on 17 different countries, the editors of this book want to shed light on the effects of Distance Learning in different regions of the world.
Theories and Models in Cognitive Psychology

Various kinds of structures—schemas or demons—continually examine the data pool, looking for relevant information. Essentially, each schema looks for the configuration of data relevant to it, and to others. There is continual communication among schemas, and there might be other communications and decision-making structures. One major concern of cognitive psychologists is the interaction of data-driven and conceptually driven processes. A very important analysis in cognitive psychology is that provided by Sternberg’s additive factors method. This method, although powerful, makes the assumption that each stage completes its operation before it sends information on to the next stage. The net input into cognitive psychology, to an excellent first approximation, has been zero. It appears that some kinds of evidence are simply not acceptable, because they use tools and techniques that do not fit elegantly into particular paradigms with which cognitive psychologists are concerned.
Exact and Optimal Conversion of a Hole-free 2d Digital Object into a Union of Balls in Polynomial Time

This paper addresses the problem of converting a 2d digital object, i.e. a set S of points in $$\mathbb {Z}^2$$ , into a finite union of balls $$\mathcal {B}$$ centered on $$\mathbb {R}^2$$ , such that the digitization of $$\mathcal {B}$$ is exactly S and the cardinality of $$\mathcal {B}$$ is minimum. We prove that, for the specific case of 2d hole-free digital objects, there exists a greedy polynomial-time algorithm. The algorithm is based on the same principle as the simple greedy optimal algorithm for the interval cover problem. After bringing to light under which conditions the latter algorithm can be extended to tree-like structures, we show that such a structure can be defined for any hole-free 2d digital object, so that the extended algorithm applies.
Covid-19 and Freedom of Expression in the MENA Region

With the onset of the Covid-19 pandemic, many countries declared a state of emergency to cope with the crisis, including countries in the Middle East and North Africa (MENA) region. This chapter explores the state of emergency’s impact on the practice of rights and freedoms in the region, with a focus on freedom of opinion and expression in two North African countries, Morocco and Tunisia. In these two countries, constitutional and rights-related developments have unfolded over the last few years, especially with the 2011 Constitution in Morocco and the 2014 Constitution in Tunisia. Constitutional and rights-related developments are evaluated within the framework of the state of emergency declared in both countries during the Covid-19 crisis. This chapter sought to determine the extent to which the state of emergency impacted rights and freedoms in Morocco and Tunisia, with a focus on freedom of expression. The results show that both countries are still lacking in terms of constitutional protections for free expression and for fundamental rights and freedoms in general. The systems of governance in Morocco and Tunisia, especially their executive authorities and security apparatuses, still engage in authoritarian practices and do not shy away from exploiting any extraordinary or exceptional situation to further consolidate their power and reach.
List Decoding of Quaternary Codes in the Lee Metric

We present a list decoding algorithm for quaternary negacyclic codes over the Lee metric. To achieve this result, we use a Sudan-Guruswami type list decoding algorithm for Reed- Solomon codes over certain ring alphabets. Our decoding strategy for negacyclic codes over the ring ${\mathbb{Z}_4}$ combines the list decoding algorithm by Wu with the Gröbner basis approach for solving a key equation due to Byrne and Fitzpatrick.
Dynamical Trajectory Planning for Unmanned Aerial Vehicle in Hollowed Obstacles

The Unmanned Aerial Vehicle (UAV) has tremen-dous obstacle avoidance and crossing in a confined and complex environment. However, in the traditional path planning algorithm, the UAV can easily fall into the local extremum problem and lack planning ability. Therefore, we propose an RRT-BBO algorithm, which combines the Rapidly-exploring Random Tree (RRT) and Biogeography-Based Optimization (BBO). First, an initial point and the end point are set, and its objective to implement the RRT algorithm between these two points to find a feasible path. Then, the BBO algorithm is applied to optimize the obtained trajectory, and finally, the UAV can quickly cross the hollowed obstacles. Computer simulations are conducted to demonstrate the performance of the proposed method.
Design of a Dual-band Digital Array Module

The design implements a dual-band digital array module, using open software system architecture to realize the broadband coverage from VHF band to UHF band, and meets the requirements of the system for working parameters such as frequency band, beam and transmission waveform. Through three-dimensional layout, high-density integration and integrated digital transceiver design, the module has the advantages of high integration, low cost, high reliability and easy maintenance and so on.
Research on Path Planning Based on the Fusion Algorithm of Adaptive Ant Colony Optimization and Artificial Potential Field Method

It is a hot topic in the field of road landscape planning technology that a mobile robot can quickly and safely find an optimal path in a multi-obstacle environment. In path planning, in light of the problems of poor cooperation and slow convergence of ant colony algorithm in a known environment, the existing potential field method in the local path environment focuses on avoiding dynamic obstacles but cannot guarantee an optimal path. This study provides a new fusion algorithm for path planning optimization in both static and dynamic environments. Firstly, to prevent slipping into a local optimum, create a pheromone diffusion model and adaptively tweak the population information entropy factor to speed up the convergence speed of the Adaptive Ant Colony Optimization (AACO) algorithm. Secondly, on the basis of the globally planned path, by designing the local stability detection and escape functions, the Improved Artificial Potential Field (IAPF) method is utilized to solve the problem of unreachable destination. Finally, we conduct simulation experiments through MATLAB to compare the indicators for evaluating paths, it verifies that the fusion algorithm proposed in this research has obvious advantages in path planning in both static and dynamic environments.
Self-Supervised Matting-Specific Portrait Enhancement and Generation

We resolve the ill-posed alpha matting problem from a completely different perspective. Given an input portrait image, instead of estimating the corresponding alpha matte, we focus on the other end, to subtly enhance this input so that the alpha matte can be easily estimated by any existing matting models. This is accomplished by exploring the latent space of GAN models. It is demonstrated that interpretable directions can be found in the latent space and they correspond to semantic image transformations. We further explore this property in alpha matting. Particularly, we invert an input portrait into the latent code of StyleGAN, and our aim is to discover whether there is an enhanced version in the latent space which is more compatible with a reference matting model. We optimize multi-scale latent vectors in the latent spaces under four tailored losses, ensuring matting-specificity and subtle modifications on the portrait. We demonstrate that the proposed method can refine real portrait images for arbitrary matting models, boosting the performance of automatic alpha matting by a large margin. In addition, we leverage the generative property of StyleGAN, and propose to generate enhanced portrait data which can be treated as the pseudo GT. It addresses the problem of expensive alpha matte annotation, further augmenting the matting performance of existing models.
Blockchain technology as a solution to address security and privacy issues in IoT

Nowadays, smart applications are becoming part of small-scale to large-scale industries. Smart applications are making farming, tourism and hospitality, energy sector healthcare, supply chain, and so on smarter than ever. Industrial Internet of Things (IIoT), which is also called Industry 4.0, is the new evolution in the industrial sector that includes automation and smart applications. Internet of Things (IoT) is one of the major pillars of Industry 4.0. IoT devices that collect real-time data from the environment and exchange data among themselves. However, the security and privacy of IoT devices are a major concern as data transmission happens over public networks. To handle the issues, blockchain technology (BCT) can be one of the solutions. The blockchain proved its potential in enhancing the security and privacy of Internet data with various applications. In this regard, the chapter provides an overview of the idea of incorporating blockchain in IoT to overcome the security issues of IoT systems. The main objective of this chapter is to how blockchain features overcome the security and privacy threat in IoT system. Initially, the chapter focuses on several security and privacy concerns in IoT. We associate the features of the BCT with the challenges faced in IoT with respect to security and privacy issues. Some of the applications of blockchain in IoT have also been discussed that primarily target security and privacy issues of IoT. The chapter also focuses on challenges and future works in blockchain integrated with IoT infrastructure.
Factors Affecting Online Teaching and Learning Amidst Covid-19 in College of Science and Technology

COVID-19 had an enormous influence on students, teachers, and educational institutions all over the world, as it did on so many other aspects of everyday life.Schools and colleges were closed across the world to comply with social distancing initiatives.In order to ensure education continuity, the traditional mode of face-to-face learning has been replaced by online learning.This paper sets out to determine the factors affecting online teaching and learning amidst COVID-19 in College of Science and Technology.The research is based on a mixed methodology consisting both qualitative & quantitative approach which is used mainly to gain more in-depth understanding of the factors that affect online teaching and learning for both tutors and students.Firstly, the quantitative approach is applied whereby an online survey will be carried out in order to see the core factors in the bigger picture.The survey was conducted via Google form for the students and collected the data from 297 respondents.It was then followed by the qualitative approach whereby four teachers and nine students were interviewed (semi-structured interview) to validate the findings collected from the survey and consequently find the recurring factors.Then, to get a true integration of data and the relations between the qualitative and quantitative aspects of the data sets, the Dedoose software is used to analyze as a whole rather than two different components that must be pieced together.It was found that network connectivity, equipment availability for practical classes, nature of student and tutors, data insufficiency, favorable environment, module content and how adaptive student and tutor were to online platform were the factors identified affecting online teaching and learning at CST during Covid-19.
AI and Decision-Making

This chapter assesses how advances in artificial intelligence (AI) can help us address the biggest global challenges we face today. Psychology research has painted a pessimistic picture of human decision-making in recent decades: documenting a whole host of biases and irrationalities people are prone to. We find it difficult to be motivated by long-term, abstract, or statistical considerations; many global challenges are far too complex for a human brain to understand in its entirety; and we cannot predict far into the future with any degree of certainty. At the same time, advances in AI are receiving increasing amounts of attention, raising the question: might we be able to leverage these AI developments to improve human decision-making on the problems that matter most for humanity’s future? If so, how? Thinking about AI more as supporting and complementing human decisions, than as replacing them, we might find that what we most need is quite far from the most sophisticated machine learning capabilities that are the subject of hype and research attention today. For many important real-world problems, what is most needed is not necessarily better computer vision or natural language processing but simpler ways to do large-scale data analysis, and practical tools for structuring reasoning and decision-making.
The Differential Effects of Ethics Business Implementation, Supervisor Ethical Leadership on Organizational Trust, Supervisor Trust and the Effect on Turnover Intention

In recent years, corporate ethical issues are attracting attention from all members of society and can be seen as having a impact on the rise and fall of companies. Now, the argument that business ethics regards as a source of sustainable competitive advantage is becoming a practical task, not just a declarative proposition. Therefore, business ethics has a influence on members of the organization, which affects turnover intention according to corporate ethical issues. It has been suggested that trust plays an important mediating variable in the relationship between business ethics implementation, supervisor ethical leadership and turnover intention. In particular, this study classifies the types of trust according to the target, such as organizational trust, supervisor trust, and examines that business ethics implementation, supervisor ethical leadership may have different effects on organizational trust, supervisor trust. Based on the social exchange theory, business ethics implementation can have a relatively higher impact on organizational trust than supervisor trust, and supervisor ethical leadership can have a relatively higher impact on supervisor trust than organizational trust. The data collected from 550 organizational members empirical analyzed the mediating effect of organizational trust, supervisor trust in the relationship between business ethics implementation, supervisor ethical leadership and turnover intention, and empirical analyzed differential effect of business ethics implementation, supervisor ethical leadership on organizational trust, supervisor trust. According to the analysis results, it was found that the business ethics implementation had a positive effect on organizational trust, but not significant effect on supervisor trust. In addition, it was found that the supervisor ethical leadership had a positive effect on organizational trust, supervisor trust. And, the results of the mediating effect, it was found that organizational trust has a significant mediating effect in the relationship between business ethics implementation and turnover intention, but not significant mediating effect of supervisor trust in the relationship between business ethics implementation and turnover intention. In addition, organizational trust, supervisor trust were found to have significant mediating effects in the relationship between supervisor ethical leadership and turnover intention. The results of differential effect showed that business ethics implementation has more positive effects on organizational trust than supervisor trust, and the supervisor ethical leadership has more positive effects on supervisor trust than organizational trust. Based on these research results, the management implications of business ethics implementation, supervisor ethical leadership, organizational trust and supervisor trust on turnover intention were presented.
Optical Character Recognition for Printed Tamizhi Documents using Deep Neural Networks

&#x0D; Tamizhi (Tamil-Brahmi) script is one of the oldest scripts in India from which most of the modern Indian scripts are evolved. The ancient historical documents are generally preserved as digitised texts using Optical Character Recognition (OCR) technique. But the development of OCR for Tamizhi documents is highly challenging as many characters have similar shapes and structures with very small variations. In specific, for Tamizhi script it is very difficult to build an OCR as many characters are combined characters. This can be a single character formed by a single vowel/consonant or compound characters formed by combining vowels and consonants. This paper deals with the development of Tamizhi OCR for printed Tamizhi documents which is anticipated to perform efficiently irrespective of poor quality, noises and various input formats of Tamizhi documents. This is a preliminary study towards developing an OCR for handwritten Tamizhi inscription images that recognises text captured from onsite inscriptions. The developed Tamizhi OCR for printed text can produce an accuracy of about 91.12 per cent.
Maturity Models for Managing People in Software Development Teams: A Systematic Literature Review

Human factors are fundamental to software development, hence the need to understand people-oriented maturity models in development teams.This article aims to identify the maturity models for people management in software development teams cited in the literature, in order to identify evidence about their use, benefits and limitations, and the human aspects involved.A systematic literature review (SLR) was carried out, where automatic searches were done in four search engines, congresses in the area of human factors within software engineering, in addition to a manual search.Evidence indicates that there are numerous models aimed at developing people in development teams, but few are applied.Models based on observation and informal discussion were found, as well as non-validated models, indicating the scarcity of models applicable to people in software engineering.However, complete but complex models were also found, indicating that a more transparent, dynamic and simple process is needed for people's development.In the observed human factors, emphasis is placed on communication, collaboration, knowledge, learning, self-management, motivation and skills in general.
Innovation in Digital Farming: Relevance in the Present Scenario

Since medieval times the human being has been using and exploiting the precious resources given to us by Mother Nature for the fulfillment of our basic needs. Our ancient scriptures like Upanishads and Vedas have clearly mentioned the need to keep the natural resources unadulterated that including atmosphere, sunlight, water, and land, among others. An agrarian network is the composite output of vegetation, soil ripeness, tilling, kinds of yields, earthbound condition, pesticides vegetation, soil ripeness, and so on. Digital farming is a smart approach that utilizes advances in IT to gather significant information from different places which contributes in the policy formulation. The use of digital techniques in agribusiness network includes the hazard that the possible advantages will be inconsistently dispersed between people living in cities and villages.
Application of Dempster Shafer to Diagnose Cholecystitis Based on Web

Cholecystitis is an inflammation of the gallbladder. The gallbladder is an organ where bile is stored, which is a fluid that plays an important role in the digestion of fat in the body. Data processing at Bangkatan Hospitals is currently still done by means of patients coming to the hospital and heading to the receptionist to carry out the process before meeting an expert (doctor), it makes patients have to queue and wait their turn to meet the doctor. The current lack of knowledge and information from the community/patients causes delays in handling the early symptoms of cholecystitis. This makes this research carried out by building an expert system that is able to diagnose cholecystitis. With the dempster shafer method, it is expected to be able to provide a high level of accuracy. From the calculation process using the Dempster Shafer method, it can be concluded that the disease suffered by the user is Acute Cholecystitis with a density value of 0.571 or 57.1%.