Reviewerly/exHarmony huggingface dataset:
TRAINING OF PEDAGOGICAL STAFF ON THE BASIS OF SOCIAL COOPERATION

This article is devoted to the problem of effective training of pedagogical personnel with consumers of personnel of higher educational institutions (educational organizations, network centers or institutions for advanced training and retraining) and other organizations and ensuring a mutually beneficial, constructive and long-term perspective system of sustainable development of pedagogical education in the region
A Two-OCR Engine Method for Digitized Swedish Newspapers

In this paper we present a two-OCR engine method that was developed at Kungliga biblioteket (KB), the National Library of Sweden, for improving the correctness of the OCR for mass digitization of Swedish newspapers.To evaluate the method a reference material spanning the years 1818-2018 was prepared and manually transcribed.A quantitative evaluation was then performed against the material.In this first evaluation we experimented with word lists for different time periods.The results show that even though there was no significant overall improvement of the OCR results, some combinations of word lists are successful for certain periods and should therefore be explored further.
SOFT SKILLS DEVELOPMENT STRATEGIES FOR COMPUTER ENGINEERING AND INFORMATION TECHNOLOGIES UNDERGRADUATE STUDENTS DEVISED IN THE PROCESS OF LEARNING ENGLISH

The aim of the study was to devise soft skills development strategies for Computer Engineering and Information Technologies undergraduate students in the process of learning English. The research consisted of total 347 Computer Engineering and Information Technologies undergraduate students including 45 female students (13.00%) and 302 male students (87.00%) aged from 17 to 21. The research which was non-experimental in nature was conducted at four higher education institutions in Ukraine between October 2020 and November 2020. To reach the main aim of the study the team of researchers developed a web-based questionnaire containing open-ended and closed-ended questions. The use of the web-based questionnaire seemed to be quite logical for collecting the data necessary for devising soft skills development strategies for Computer Engineering and Information Technologies undergraduate students in the process of learning English taking into account the situation connected with the Covid-19 pandemic. The respondents who volunteered to take part in the survey were sent a link to the web-based questionnaire and guaranteed the complete anonymity. The data analysis covered processing of information collected from the anonymous web-based survey, displaying the data obtained in the form of tables and figures, devising soft skills development strategies based on research results and drawing general conclusions. The findings obtained enabled the authors to present six development strategies aimed at enhancing soft skills among Computer Engineering and Information Technology undergraduate students that could be applied in the process of learning English: a) combination of competence-based, action-oriented and blended-learning approaches in the English for Specific Purposes classroom, b) integration of formal, non-formal and informal learning, c) participation in specially focused network professional communities, d) use of open educational resources for learning English, e) use of open professionally-oriented educational resources, f) introduction of learning-style based activities in the English for Specific Purposes classroom for boosting students’ soft skills.
Disease Classification with E-Report Generation, Authentication and Encryption

The assortment of data analysis on the origin of diseases and consequences of mortality is essential to keep track of death rates caused due to diseases. Thus, the classification of diseases is very crucial. Cancer is one of the huge and major diseases of concern in the world. Machine learning is extensively implemented in the medical field in the anticipation of medical errors and early revelation of diseases. Along with the implementation of technology in medical field there is need for authentication to safeguard the privacy rights of patient’s health information. Thus, in this paper, revelation of disease using CNN (Convolutional Neural Networks) algorithm is achieved along with authentication and automatic generation of e-medical report which is further encrypted using RSA (Rivest, Shamir, Adleman) algorithm to overcome the breach of information while being shared from one hospital to another.
Unsupervised Anomaly Detection for Hard Drives

In the age of smartsensors and industry 4.0 continuous monitoring of different machinery produce enormousamount of data, because of that datacenters are now-a-days a very important asset not only for large scale cloud providers, but also for medium to large enterprises,which decide to store in-house the ever increasing data collected during business operations.&#x0D; An efficient method for the maintenance of the great number of hard-drives housed in datacenters is critical to assure avaiability in a cost effective manner.Since 2013, Backblaze \url{https://www.backblaze.com/} has published statisticsand datasets for researchers to gain insights on hard drive performaces andtheir failures, in this paper more than 2.5 million records, following hard-drives S.M.A.R.T readings for over a year, will be analyzed.&#x0D; The objective of this paper is to show that it is possible to build a completelyunsupervised pipeline which produces an anomaly score that highlycorrelates to hard drives time to failure (TTF), in such a way a decisionto replace them can be made before failure, with minimal waste due to false alarms. Favorable comparisons with state of the art supervised classifiers will be presented.&#x0D; A brief example of how such a pipeline can beextended for data streams and continuos sensor monitoring will be given.
469-P: Health Care Providers’ Experiences with a Virtual Reality Program Focused on Diabetes, Social Determinants of Health, and Appalachian Culture

The prevalence of diabetes in southeastern Appalachian Ohio is 19.9%, nearly double the national average of 10.5%. Here, people are more likely to be diagnosed late, have limited access to healthcare, and lower health literacy. Moreover, people in southeastern Ohio are more likely to be unemployed, food insecure, have lower educational achievement, and limited access to transportation. These social determinants of health (SDoH) contribute to the diabetes disparities observed in the region. One approach to address these disparities is to develop tailored continuing education for healthcare providers. We developed a 3-hour cinematic virtual reality (cine-VR) program to educate providers about diabetes, SDoH, and Appalachian culture. We conducted 20 in-depth interviews with providers (age=43.8±11.8 years; 90.0% female; 95.0% white, 20.0% nurses) to explore their experiences with the cine-VR program. Three researchers independently coded the interviews, resolved discrepancies, and agreed on themes. Qualitative analysis revealed three themes: 1) Feeling Like You Are in the Room: Providers commented on the realism of cine-VR. They had access to the whole environment via a 360-degree headset and felt fully immersed in the simulations as if they were in the room with the patient. 2) Empathizing with People’s Stories: Providers identified with the content in the cine-VR, specifically the clothing, cars, houses, and the notion of “taking care of everyone else but yourself.” They understood the patient’s frustrations, disappointments, and competing priorities. 3) Highlighting the Strengths of Appalachia: Providers noted the program’s emphasis on family, caregiving, loyalty, and generosity, and how these cultural values can be utilized in diabetes care. These qualitative findings demonstrate the value of culturally tailored digital storytelling as engaging content for providers to learn about diabetes, SDoH, and Appalachian culture. Disclosure E. A. Beverly: None. C. Love: None. M. Love: None.
Ultra Mega Pack Mudflaps For Ownable Trailer [1.37]

This Skin Contains 60 Mud Flaps, That Is: go in style (4/5) scania vabis (4) scania biler truckjunkie only was is danish MAN (7/8) Volvo (6/7) ...
Joshua Yuvaraj and Rebecca Giblin, 'Are Contracts Enough? An Empirical Study of Author Rights in Australian Publishing Agreements' (2021) 44(1) Melbourne University Law Review 380

A majority of the world’s nations grant authors statutory reversion rights: entitlements to reclaim their copyrights in certain circumstances, such as their works becoming unavailable for purchase. In Australia (as in the United Kingdom) we have no such universal protections, leaving creator rights to be governed entirely by their contracts with investors. But is this enough? We investigate that question in the book industry context via an exploratory study of publishing contracts sourced from the archive of the Australian Society of Authors. We identify serious deficiencies in the agreements generally as well as the specific provisions for returning rights to authors. Many contracts were inconsistent or otherwise poorly draed, key terms were commonly missing altogether, and we demonstrate that critical terms evolved very slowly in response to changed industry realities. In response to this new evidence we propose that consideration be given to introducing baseline minimum protections with the aim of improving author incomes, investment opportunities for publishers and access for the public.Open access version of the paper available at at https://law.unimelb.edu.au/__data/assets/pdf_file/0007/3638302/10-Yuvaraj-and-Giblin-380.pdf
Problems of Studying and Assessing The Degree of Soil Contamination Within The Boundaries of Mineral Deposits

Summary This work will raise the problem of using the existing criteria for assessing soil and ground contamination. To date, such criteria, applicable to soils and soils of mineral deposits, are absent, and the existing ones are ineffective and unable to correctly reflect the geoecological conditions of the study area. The purpose of this work is to provide evidence of the inconsistency of the existing requirements for assessing soil and ground contamination. The article examines the application of the requirements of regulatory documents on the example of soil studies of the territory of one of the ore gold deposits in the Middle Urals. Disclose the issues of existing soil survey techniques, requirements for sampling and assessment of soil and soil contamination.
LBCC LibGuides: School of Career Technical Education: Organizations

This guide highlights the course- and discipline-specific guides for the offerings in the School of Career Technical Educations. In each guide you will find the methods for finding books and other resources curated by the LBCC Librarians.
Assessment of Cybercrime Governance in Ethiopia Since 2004

Communication technology is a recent phenomenon that links countries of the world together. Like other countries of the world Ethiopia also interconnected to global net work via internet technology and committed to expansion of the technology at home to substantiate its economic, social and political advancement goal. However, as a result of digitalization effort at home, the country becomes both source and target of cyber crime. Hence, in order to curb cyber crime, the government of the country engaged in to various activities and this work assess the initiatives under taken by Ethiopian government in the area of cybercrime governance. To do so, the research employs qualitative research methods and secondary source of data.To discharge its global responsibility and prevent itself from cyber crime, Ethiopian government works hard and undertakes various measures. Hence, the government begins its work of fighting cyber crime for the first time by initiating criminal code in 2004 that penalize limited cyber crime in the country. As such, the first initiatives followed by scattered legislations which cover limited area of cyber crime like Telecom fraud offense legislation, National payment system proclamation and recently computer crime proclamation. Similarly, the government also initiates policy measures like ICT policy and strategy, National information security policy and Criminal justice policy. To implement these policies and legislations the government also establishes various institutions.However, these all legislations and policy initiatives are inadequate in cyber crime governance in Ethiopia, due to failure of government to couple its unilateral effort and commitment of fighting cyber crime with transnational cooperation and capacity building. Hence, there is no meaning full and continues capacity building undertaken by Ethiopian government. As a result, there is gap of knowledge and human resource in the country related to cyberspace which in turn creates fertile ground for cyber crime. Ethiopian government also does not engaged into comprehensive and functional transnational cooperation and dormant to be party to any regional and international cyber crime convention. Thus, its domestic effort to fight cyber crime become less significant since cyber crime is borderless. Therefore, in order to successfully defense cyber crime, Ethiopian government should complement its domestic initiative by continues capacity building and transnational cooperation.On the other hand, legislated cyber crime in Ethiopia also infringes freedom of expression and privacy right of peoples. Thus, government should work hard to ensure compatibility within international human right law and cyber crime law as much as possible. DOI: 10.7176/NMMC/96-01 Publication date: May 31 st 2021
The formation of research skills in students as an important indicator of higher education

The higher education is an important nod of the system of continuous education which is responsible for the supply of high-skilled personnel in society. One of its main objectives is the formation and the development of research skills in future specialists. The article focuses on the importance of the scientific research in higher education, its development directions and problems and shortcomings in this sphere. Furthermore, it focuses on the impact of the organization of study process on the scientific research process. It analyzes the research results conducted in the thematic framework. It also presents recommendations directed at the elimination of the detected problems.
가짜 뉴스 인식에 대한 연령별, 매체별 차이 분석에 관한 연구

The purpose of this study is to figure out the psychological connections between human age and fake news. It also examines the difference in abilities to embrace information from different types of media in a critical perspective. The result indicated no statistical significant difference in reliability of fake news between teenagers and adults, but the elderly were more likely than others to be affected by the fake news. This study also found that people were more likely to believe a fake new as it was presented in the form of formal news than that of Twitter. In conclusion, this study emphasizes the importance of preventing social issues that are caused by fake news.
Classroom reading program to increase children's reading interest at the Emha Ainun Najib (EAN) Yogyakarta library

The problems faced by partners are the lack of children's interest in reading and the lack of library facilities other than school libraries that are specifically available for children. So that the purpose of this service is to increase children's interest in learning and at the same time facilitate children to be able to use the library around them by providing classroom reading programs. The library was the Emha Ainun Najib (EAN) library in Kadipiro Yogyakarta City which is provided for the general public. This dedication means a lot to children and the local librarian. Children live around the EAN library were more enthusiastic to come and read books in the library. This was due to the pleasant library layout supported by interesting books. This activity was also able to respond to children's curiosity to be more interested in reading so that literacy increases. This service recommends that children's reading rooms need attention, including the types of books that need to be adjusted according to age.
Ergo@Large: Collaborating for the Benefits of HF/E

Ergo@Large is a group of passionate and caring people collaborating on a journey to improve health and wellness through a unique Human Factors/Ergonomics collaborative and inclusive approach opened at large to the many professions involving humans at work in Canada. A group of professors, students and experts came together and formed a sub-committee of the Association of Canadian Ergonomist (ACE) to explore the current state and future of Ergonomics. The committee aims at inspiring new approaches and to encourage discoveries. This article explains the creative approach through four different programs: 1 - Student Projects, 2 - Monitoring/Analyzing, 3 - Survey/Tendencies and 4 - Redaction/Publishing and steps taken since the creation of the Ergo@Large committee with plans for the next five years. The committee operates virtually facilitating an innovative operation structure based on a hockey team organization to avoid silos and divisions per province but rather regroup the pan Canadian group members in teams regardless of their geographic locations to foster inclusion and collaboration.
A Bibliometric Statistical Analysis of the Fuzzy Inference System - based Classifiers

Nowadays, under the pressure of numerous research publications, researchers increasingly pay attention to writing survey papers to track and understand one research topic they are interested in, and then begin to conduct more in-depth research. Until this moment, there are two types of survey papers: traditional review analysis and bibliometric statistical analysis. Compared with traditional review analysis, due to the analysis of various bibliometric information that can be quickly summarized to assess and predict one research field’s development, the bibliometric statistical analysis is progressively proposed. However, no research relied on the bibliometric approach to explore fuzzy inference system (FIS) -based classifiers. More importantly, since the current open-ended bibliometric analysis approaches have different assessment focuses, choosing a suitable approach is problematic. Therefore, based on the extraction, integration, and expansion of previous bibliometric analysis theories, this research proposes a new systematic and time-saving bibliometric statistical analysis approach. It is worth noting that the proposed approach eliminates the need to read the internal content of all publications. Two core parts (Publication Information and TOP 20 SETs) are generated by the proposed analysis approach. Among them, analyzing Author Keywords and TOP 20 SETs are unprecedented guiding features to assist researchers in exploring research topic. Significantly, this research relies on the proposed approach to explore FIS-based classifiers. Various assessments cover the bibliometric information of the entire related publications. In addition, these results may need to be considered to increase the citation rate of future publications.
Anti-unification of Unordered Goals

Anti-unification in logic programming refers to the process of capturing common syntactic structure among given goals, computing a single new goal that is more general called a generalization of the given goals. Finding an arbitrary common generalization for two goals is trivial, but looking for those common generalizations that are either as large as possible (called largest common generalizations) or as specific as possible (called most specific generalizations) is a non-trivial optimization problem, in particular when goals are considered to be \textit{unordered} sets of atoms. In this work we provide an in-depth study of the problem by defining two different generalization relations. We formulate a characterization of what constitutes a most specific generalization in both settings. While these generalizations can be computed in polynomial time, we show that when the number of variables in the generalization needs to be minimized, the problem becomes NP-hard. We subsequently revisit an abstraction of the largest common generalization when anti-unification is based on injective variable renamings, and prove that it can be computed in polynomially bounded time.
Map For ETS2 – SZM Addon Demo [1.36]

SZM Addon is a new free publicly accessible mod project for the ETS2 game, working in conjunction with RusMap and South Region maps. The project ...
Design And Development Of Hybrid Algorithm For Interactive Recoloring Of Wall

Nowadays,humansspendmostoftheirtime indoors, either at work or at home. There are many reasonsduetowhichcolourofthewallsneedtobe changed fromtimetotime.Decidingthenewcolourforthewallis an essential and challenging task. The software developed and discussed in this article consists of two parts that eases the user's work in visualizing new colour on the wall and getting the cost for the paint required.Thefirstparthelpsinrecolouringawallwitha newcolourdigitally,andthesecondhelpstocalculatethe areaofthewallpaintingforcostestimation.Finally,the recoloured wall image with estimated paint cost value is displayed to theuser.
Development of Red and Ox Game for Android Mobile Phone as Learning Media for Balancing Redox Equations

Aim of this study was to discover the egibility of Red and Ox Game for android mobile phone as learning media for Balancing Redox Equations. This game egibility based on 3 criteria among them are validity, practicalitym and effectiveness. This study using Research and Development methods which consist of 3 main step (early study, development and teoritical validity, and game test itself). Result of this game validity is 88,63% from 3 different validator. Practically result for this game based on student’s responses is 87,71% with 84% of it student completed the whole game level. And effectiveness from this game result that 96% of this class surpassed standard score and paired t-test showed that after using this game there is difference between pretest and posttest which mean that this game is effective. Based on those 3 criteria, this game is proper as learning media for Balancing Redox Equations.
Reverse-engineering core common sense with the tools of probabilistic programs, game-style simulation engines, and inductive program synthesis

None of today's AI systems or approaches comes anywhere close to capturing the common sense of a toddler, or even a 3-month old infant. I will talk about some of the challenges facing conventional machine learning paradigms, such as end-to-end unsupervised learning in deep networks and deep reinforcement learning, and discuss some initial, small steps we have taken with an alternative cognitively-inspired AI approach. This requires us to develop a different engineering toolset, based on probabilistic programs, game-style simulation programs as general-purpose startup software (or "the game engine in the head"), and learning as programming (or "the child as hacker").
ACAT-G: An Interactive Learning Framework for Assisted Response Generation

In this paper, we introduce ACAT-G, an interactive dialogue learning framework that incorporates constant human feedback into fine-tuning language models in order to assist conditioned dialog generation. The system takes in a limited amount of input from a human and generates personalized response corresponding to the context of the conversation within natural dialog time-frame. By combining inspirations from online learning, reinforcement learning, and large scale language models, we expect this project to provide a foundation for human-in-the-loop conditional dialog generation tasks.