Reviewerly/exHarmony huggingface dataset:
Amazon fights coronavirus price-gouging, suspends 3,900 accounts

Amazon said that sellers found to have violated its policies are referred to law enforcement agencies for potential action.
Rise of Crypto Currency-Bitcoin and Impact on the Financial System

A product of the 21st century, crypto-currency is a digital representation of a value that can be digitally traded and functions as a medium of exchange, a unit of account or store of value. Safety, simplicity, affordability, reachability, and transparency are advantages however, challenges such as fraud, complexity, money laundering plague Bitcoin, Lite coin, Dodge coin, Amazon coin,ethereum coin, Nemcoin, Libra, DC/EP coin.
Knowledge And Skills In Mobile Photography Among Botany Teachers At Higher Secondary Level

Mobile photography is the modern trend inevitable in every aspects of human life. Gone were the days when people were asking for film rolls and camera to take photos. Ever since the film rolls were replaced by digital space, taking photos and storing it has become more user friendly. Everyone started recording any event in their digital cameras. Once the camera phone came into existence, it has become more ready to use category. Mobile manufacturers like Nokia, Samsung, Redme, realme, Oppo, i phone and others started introducing different varieties with more options like more Zoom length and flash, multiple cameras for wider views etc. It also started increasing mega pixel. It also started giving more clarity. The social media like instagram is known for more picture clarity and people are using it for spreading content to people. Having seen mobile photography’s benefits in the field of botany is manifold. It should be unveiled.  So, it has become the natural quest of the researcher to undertake the present study. The objectives of the study are to find out the level of knowledge and skills in mobile photography among higher secondary teachers and to find out the significant difference in knowledge and skills in mobile photography among higher secondary teachers in terms of gender and age. The investigator used the knowledge and skills in mobile photography test prepared and validated by the investigator. The investigator has followed stratified random sampling method for the present study. The investigator has collected a sample of 80 higher secondary teachers in Dharmapuri district. The findings of the study reveal that the level of knowledge and skills on mobile photography among higher secondary teachers is high. There is significant difference in the knowledge and skills in mobile photography among higher secondary teachers in terms of gender and age.
A Proposed Classification Method in Menu Engineering Using the K-Nearest Neighbors Algorithm

In the culinary business, the menu is crucial; therefore, the performance of each menu needs to be known to maintain business continuity. Menu engineering is a special technique used to see the performance comparison of each menu item. This research proposes modeling menu engineering with a new approach in classifying menu items using the k-Nearest Neighbors (k-NN) algorithm using the sales training data of sales data in 2019 belonging to one of the micro, small and medium-sized enterprises in the culinary sub-sector in Salatiga, Indonesia. In the modeling, the popularity index (menu mix) and item contribution margin are used as variables, while the menu item class is used as the label attribute of the classification. Determination of the k value in the k-NN algorithm was done by the experimental method so that it produces the most optimal k based on the highest accuracy value, while the distance calculation on k-NN was done using euclidean distance. Evaluation of the model was done using 10-fold cross-validation with four performance evaluation criteria, namely weighted mean recall, weighted mean precision, accuracy, classification error. Based on the evaluation results, an accuracy of 96.84% was obtained; thus, the proposed model is considered to have given good and accurate results. This proposed model has been implemented in MSME sales data to classify menu items. The results of this classification were used as a basis for recommending menu engineering strategies to MSMEs.
ICT Tools and Practices for Final Qualification Assessmentin the Framework of COVID-19 Lockdown

The global pandemic and the subsequent quarantine measures and restrictions have posed an array of challenges to the structure and procedure ofuniversity summative assessment process. Qualification assessment for major programmes in Foreign Languages in particular is a strictly regulated procedurethat involves different stages (oral and written exams, final project viva, internal and external review). This study seeks to analyse the practices of Borys Grinchenko Kyiv University digital qualification assessment for students of European (French,Italian, Spanish, English, German) and Asian (Mandarin, Japanese) Languagesmajor programmes, employed in the year 2020 due to quarantine measures. Thesurvey and analysis of different ICT tools is used to translate real life qualificationassessment practices into an online blended format. The investigation also seeks toidentify various groups of applied digital skills and collaboration skills, utilizedthrough qualification assessment process by all parties (students, faculty andreferees).
Pemikiran Pendidikan Islam Ibn Miskawaih (Studi tentang Konsep Akhlak dan Korelasinya dengan Sistem Pendidikan)

The current education is far from expectations, it can be seen from the failure of Islamic educational institutions in producing a generation with good morals. Actually there are many concepts presented by previous figures, including Ibn Miskwaih. On this basis, this study aims to analyze Ibn Miskawaih's thoughts on moral education and the education system. The research method used is library research. The primary data used is the book of Tahdzib al-Akhlak. secondary data obtained from other books, and articles sourced from journals and research results. The results of the study explain that humans consist of physical and spiritual and have the potential or basic abilities that are tabi'i, but they can change due to influences from within and outside of humans, namely through education. Ibn Miskawaih hints that the purpose of education is the formation of a noble personality, which he calls isabah al-khuluq al-syrif, namely a substantially and essential noble person, not a temporal and accidental glory such as a materialistic and autocratic person. While the educational methods and tools that can be used according to Ibn Miskawaih are natural methods (tabi'i), advice and guidance, threats of rebuke, blows and punishments, flattery and praise, and educating based on educational principles.
Promoting Reading Habits of the Children of Class IV: Study of Upper Primary Student of Ramchetsekha PS, Paro

Purpose: This study is an attempt to understand the reading habits of class IV students in Ramchetsekha Primary School, Paro. The study also aims to promote reading habits in the students.&#x0D; Design/methodology/approach: The researcher took anchor of a qualitative research design aligned to social constructivism paradigm through phenomenological approach. The researcher focused on class four children and teachers as participant sampling in the school. Semi-structure interview was used as a research tool and their information was recorded and transcribed later by the researcher.&#x0D; Findings: The study found out that reading programme in the school is loosely matched with the needs of the children to develop their reading habits. Sporadic reading programme were organized in the form of onetime events without aligning with improvement priorities and goals. The school sometimes chooses faddish improvement involving one-shot programme with no follow-up support. Furthermore, it was revealed that the children depend largely on notes given by the teachers.
E-LEARNING AS A LEADING COMPONENT OF INFORMATION AND COMMUNICATION TECHNOLOGIES IN THE EDUCATIONAL PROCESS

The evolution of E-learning has been investigated in this article. In all historical epochs, education played an important role in a society. In the conditions of dynamic and ambitious socio-economic transformation of Ukrainian society education becomes the object of new growing requirements of the individual, society and state. These requirements are a major factor of the driving force behind the development of the education system. In this article we outlined new challenges to the qualification of the working force in information society and E-learning, among which are: the need for dynamic adaptation to rapidly changing knowledge and technologies, the acquisition of new skills. The last two decades have been marked by a significant increase in the emphasis on teaching on the basis of information and computer technology. A withdrawal from traditional training was based on the rapid development of the Internet and Covid-19 pandemic. The use of information and communication technologies in education makes it possible to increase its efficiency and accessibility. In addition, some aspects of the implementation of E-learning in the university have been reviwed. Many universities are actively developing a range of technologies, including mixed learning, with the aim of implementing E-learning at the university. Main features of E-learning, as a method for increasing motivation and self-study skills and as a way to improve an access to education, were investigated in the article. It is pointed out that in the structure of E-learning in educational establishments it is necessary to have such elements as: 1) E-learning system environment with the necessary means for communication of participants of E-learning; 2) electronic database of educational material; 3) virtual laboratory; 4) E-learning participants (teachers, students) and technicians (programmers, system administrators, web designers, animators). E-Learning supports self-directed types of learning. High motivation and self-study skills are prerequisites and must be complemented by an appropriately structured didactic learning environment. Self-organization and self-responsibility are important skills within flexible working and learning cultures. An important condition for E-learning: in the E- learning system can learn only highly motivated, focused and organized persons.
Relationship between daily physical activity and sleep quality among college students

Objective  To explore the relationship between daily physical activity and sleep quality among college students during COVID-19 epidemic, so as to provide scientific basis for improving physical health and sleep of college students. Methods  A stratified random sampling method was used to select a total of 2 808 college students from two universities (one in each of sports and non-sports categories) in Beijing, Tianjin, and Wuhan in March 2020. The Pittsburgh Sleep Quality Index scale and the Bouchard Physical Activity Diary were used to collect sleep status and sleep duration (SD), sedentary behavior (SED), low intensity physical activity (LPA), and moderate to vigorous physical activity (MVPA). The Mann-Whitney U test or Kruskal-Wallis test was used to analyze the variability of parameters among college students. Multiple Logistic regression was used to analyze the relationship between physical activity and sleep quality. Results  During the epidemic, male students had higher MVPA times(0.5 h) than female students(0 h) (Z=-4.21, P Conclusion  During the COVID-19 epidemic period, college students generally suffer from excessive sedentary time and insufficient physical activity, which vary in sex, region and specialty. The overall sleep quality of students is not optimistic, and the lack of low-intensity physical activity may increase the risk of sleep disorders.
From Machine to Musical Instrument

Media histories of music often frame technological innovation in the early twentieth century within a general zeal for automated musical reproduction. The engineering efforts of the Aeolian Company and its Pianola counter such narratives by fostering active music-making rather than passive listening. As a pneumatically powered attachment to a piano, the Pianola was initially limited to reproducing strictly mechanical renditions of music from perforated paper rolls. But the invention of the Metrostyle in 1903, a hand lever to achieve tempo-specific effects, significantly refined the musical capacities of the instrument. It allowed for inscribing onto the music rolls authoritative performance instructions that could be enacted by the player. Revisiting the various places that the Metrostyle Pianola inhabited, from the manufacturing site to the concert hall and the bourgeois living room, I illuminate the different sociocultural relationships and musical experiences that it mediates. By relegating certain tasks of conventional piano-playing to the mechanical workings inside the instrument, the Pianola was marketed as facilitating simplified music-making in ever wider parts of society. The Metrostyle annotations served as a pedagogical device for instructing novice players in principles of nuanced and tasteful interpretation. My analysis exposes the reciprocal relationships between the instrument and its human players, from attempts to adapt the physical interface to human physiologies, to the ways in which the instrument, in turn, imposes certain mechanistic affordances on its players.
Impact of Different HRM Practices on Organizational Commitment to Improve Turnover Intention in Universities of Jordan

The study examines the impact of career growth, training and development, performance appraisal, and salary on turnover intention, besides organization commitment as a mediator in the Jordanian public universities. This particular study's research framework has salary, training and development, performance appraisal, and career growth as independent variables that impact the independent variable, turnover intention, directly and indirectly via the mediation of organizational commitment. The population of the study is any academic employee who is working in public universities of Jordan. Based on different sources, the number of Universities is around 10. An estimation of the academic workforce working in those Universities is 2500 employees. The actual sample size is 288 employees. The distributed survey is 370, distributed by using face-to-face data collection methods in a convenient sample selection technique in 2019. Overall, the four antecedent variables have significant relationships to both organizational commitment and turnover intention. The model can explain 63.3% of the turnover intention based on the four antecedents; career growth (0.358), performance appraisal (0.311), salary (0.282), training and development (0.224), and the mediator, organizational commitment (0.556). Besides, the model can explain 46.4% of the organizational commitment based on the four antecedents: career growth (0.377), performance appraisal (0.341), salary (0.255), training and development (0.188).
Biden, Bezos among hacking victims in Bitcoin tweet 'scam'

A number of prominent Twitter accounts appeared to be hacked Wednesday as they sent out messages seeking donations in Bitcoin.
Transfer Learning for Spam Text Classification

Today’s world is mostly data-driven. To deal with the humongous amount of data, Machine Learning and Data Mining strategies are put into usage. Traditional ML approaches presume that the model is tested on a dataset extracted from the same domain from where the training data has been taken from. Nevertheless, some real-world situations require machines to provide good results with very little domain-specific training data. This creates room for the development of machines that are capable of predicting accurately by being trained on easily found data. Transfer Learning is the key to it. It is the scientific art of applying the knowledge gained while learning a task to another task that is similar to the previous one in some or another way. This article focuses on building a model that is capable of differentiating text data into binary classes; one roofing the text data that is spam and the other not containing spam using BERT’s pre-trained model (bert-base-uncased). This pre-trained model has been trained on Wikipedia and Book Corpus data and the goal of this paper is to highlight the pre-trained model’s capabilities to transfer the knowledge that it has learned from its training (Wiki and Book Corpus) to classifying spam texts from the rest.
Bit-Level Image Encryption Using Self-Adaptive Keys

Multimedia security is continuously trending in the digital era. Because of the heterogeneous form of multimedia data and requirement of secure access, the challenges are also increasing. In this paper, an image cryptosystem is proposed. The methodology is based on image decomposition and permutation-diffusion architecture. The novelty of the algorithm is the generation of different encryption keys . These keys are self-adapted in permutationdiffusion rounds. The cryptosystem is designed and implemented by software means.
WIT: Workshop on deriving Insights from user-generated Text

User-Generated text is a rich source of user insights and experiences that can be very helpful in many different daily life situations, such as when deciding what product to buy, what hotel to stay, what company to apply for a job, what region to buy a house, etc. This kind of text also plays a very relevant role in current research efforts in academic research groups, technology companies, as well as big publishers, telecommunications players, recruiting and job-market focuses organizations, etc. The goal of this new workshop is to bring together researchers interested in the application of novel techniques in AI/ML/NLP and Knowledge Discovery to address challenges around harnessing text-heavy user-generated data that is available to organizations and over the Web. The workshop program contains invited speakers, contributed talks, poster sessions and a discussion panel
Aggregating Everyday Outfits by Incremental Clustering With Interactive User Adaptation

Knowledge of the outfits that a person wears daily and how frequently the person wears them will help the person select clothing every morning. However, it is very-time consuming to manually record what the person wears every day. This paper proposes a system that automatically aggregates and visualizes the outfits of a user by using a monitoring camera at home. To aggregate the everyday outfits of a user, we employ incremental clustering. For accurate clustering, an appropriate feature space is required. However, there is a gap between the clothing feature space of people and a specific user. To fill the gap, we propose a Siamese-network based interactive user adaptation method using user feedback. The user adaptation incrementally updates the similarity metric of the clothing feature space. We confirmed that the proposed system achieves highly accurate clustering performance with a smaller amount of user feedback through evaluation.
Different Types of Government and Governance in the Blockchain

This research work, a study was carried out on blockchain technology and its types, as well as the creation of new models of government and governance from the scope of an organization, infrastructure and platform. Governance and commercial models were addressed, based on standardization of data and legal frameworks. On the other hand, it showed how operational governance causes consequences in business models, whether with transactions, multi-signature, forks, consensus mechanism, smart contracts, tokenization, online dispute resolution and decentralized application. It was discovered that at least in current business models, private blockchain networks are more useful than public networks because they have greater operational flexibility and data governance, without exempting that public networks must also have mechanisms of governance since sometimes a human consensus must be reached to make updates to protocols and technical rules. This paper shows the basic principles that must be observed about governance and regulation in the implementation of blockchain technologies in systems created by governments, corporations and/or organized civil societies.
Effects of selected noises on the quantum memory satellite based quantum repeaters

Quantum repeaters are a key part of long-range free-space quantum key distribution. They allow us to circumvent the negative effects of the no-cloning theorem. Quantum repeaters are also a key point in point-to-point communication since otherwise, a direct line of sight would be necessary. In our simulation, we examined the QKD capabilities of quantum repeaters in a satellite-based network, along with selected types of noises.
Increased Ability to Conduct Interviews Through Assignment Methods

The discussion about interviews is indeed interesting to do. Interviews can be useful for students when they have to interview someone about a discussion. Interviews can also be useful when students want to obtain information in a study. Based on these sentences, the authors are interested in writing to improve interviewing skills through the assignment method. The assignment method given by educators can improve the ability to interview students. Students must be assigned an interview to improve their ability to conduct interviews. Educators who give assignments to improve interviewing skills can check the assignments given to students, after that if the task has to be fixed it must be corrected by students. In this way, the ability to conduct interviews from students can increase. This is because the training given to students increases the ability to conduct interviews of students. With this paper, it is hoped that it can develop theories related to interviews so that knowledge about interviews can develop. This research uses a qualitative approach with the type of library research (library research). The results showed that the ability to conduct interviews can be improved through the assignment method. Please educators to use the assignment method to improve the ability to conduct interviews of students so that this will also provide benefits for students.
An Algorithm for the Detection of Hidden Propaganda in Mixed-Code Text over the Internet

Internet-based communication systems have become an increasing tool for spreading misinformation and propaganda. Even though there exist mechanisms that are able to track unwarranted information and messages, users made up different ways to avoid their scrutiny and detection. An example is represented by the mixed-code language, that is text written in an unconventional form by combining different languages, symbols, scripts and shapes. It aims to make more difficult the detection of specific content, due to its custom and ever changing appearance, by using special characters to substitute for alphabet letters. Indeed, such substitute combinations of symbols, which tries to resemble the shape of the intended alphabet’s letter, makes it still intuitively readable to humans, however nonsensical to machines. In this context, the paper explores the possibility of identifying propaganda in such mixed-code texts over the Internet, centred on a machine learning based approach. In particular, an algorithm in combination with a deep learning models for character identification is proposed in order to detect and analyse whether an element contains propaganda related content. The overall approach is presented, the results gathered from its experimentation are discussed and the achieved performances are compared with the related works.
Questions are higher-level acts

Questions are not on all fours with assertions or directions, but higher-level acts that can operate on either to yield theoretical questions, as when one asks whether the door is closed, or practical questions, as when one asks whether to close it.