Reviewerly/exHarmony huggingface dataset:
Digital Educational Resources As A Means Of Forming A Design-Oriented Educational Environment

The aim of this study is to theoretically and methodologically substantiate the role of digital educational resources in the formation of a design-oriented educational environment. Within the framework of the theoretical analysis of the methodological basis of the problem presented in 24 scientific sources, various interpretations of the category of "digital educational resources" are given. Among the most used digital educational resources in the practice of the university are: electronic educational products; presentation of paper publications and information materials; software products; software and information products. Digital educational resources should be widely used at different stages of the lesson, using a wide variety of technologies and teaching methods. Using the questionnaire method, it was possible to identify a positive trend in all indicators of satisfaction with the use of digital educational resources in the educational process of teaching practice-oriented disciplines. It should be noted that in the level of formation of theoretical knowledge among students has increased. The presence of theoretical knowledge significantly increases the motivation to master and develop practical skills and abilities. The use of digital educational resources, such as an interactive educational presentation, an interactive test, educational animation, interactive instructions, video, 3d models, increase the effectiveness of the learning process in the classroom in practice-oriented disciplines of an artistic orientation.
Investigating the relationship between independence, professionalism and professional skepticism on audit quality

This study examines the relationship between independence, professionalism and professional skepticism about audit quality. The present research is applied and in terms of how to collect information, descriptive-survey, based on the model of structural equations. The statistical population of auditors working in Mashhad auditing institutes was selected. The suitability of the proposed model was examined by explaining the hypotheses in the standard estimation mode and the significance of the parameters using Smart PLS software. The results at the 5% error level showed that there is a significant relationship between independence and audit quality. There is a significant relationship between professionalism and audit quality. There is a significant relationship between professional skepticism and audit quality.
IIOT and Real Time Data Analytics - Maximizing the Impact on Safety and Productivity

Abstract With the global push towards Industry 4.0, a number of leading companies and organizations have invested heavily in Industrial Internet of Things (IIOT's) and acquired a massive amount of data. But data without proper analysis that converts it into actionable insights is just more information. With the advancement of Data analytics, machine learning, artificial intelligence, numerous methods can be used to better extract value out of the amassed data from various IIOTs and leverage the analysis to better make decisions impacting efficiency, productivity, optimization and safety. This paper focuses on two case studies- one from upstream and one from downstream using RTLS (Real Time Location Services). Two types of challenges were present: the first one being the identification of the location of all personnel on site in case of emergency and ensuring that all have mustered in a timely fashion hence reducing the time to muster and lessening the risks of Leaving someone behind. The second challenge being the identification of personnel and various contractors, the time they entered in productive or nonproductive areas and time it took to complete various tasks within their crafts while on the job hence accounting for efficiency, productivity and cost reduction. In both case studies, advanced analytics were used, and data collection issues were encountered highlighting the need for further and seamless integration between data, analytics and intelligence is needed. Achievements from both cases were visible increase in productivity and efficiency along with the heightened safety awareness hence lowering the overall risk and liability of the operation. Novel/Additive Information: The results presented from both studies have highlighted other potential applications of the IIOT and its related analytics. Pertinent to COVID-19, new application of such approach was tested in contact tracing identifying workers who could have tested positive and tracing back to personnel that have been in close proximity and contact therefore reducing the spread of COVID. Other application of the IIOT and its related analytics has also been tested in crane, forklift and heavy machinery proximity alert reducing the risk of accidents.
The Spectrum of Malignant Breast lesions by Fine Needle Aspiration Cytology in a Teaching Hospital

Background: Fine needle aspiration cytology (FNAC) is one of the preliminary tests done to detectmalignant breast lesions, which help in early detection and management. Studying the cytologyfeatures of various malignant breast diseases was the aim of this study. Methods: This study is across-sectional retrospective study conducted in the Department of Pathology from 2015 to 2020.Clinical details and cytology features were collected from the Department records. Results: A totalof 75 cases were collected during the study period. All the cases were females. The spectrum oflesions was composed of Ductal carcinoma followed by one point each of Mucinous carcinoma,Malignant Phyllodes tumour and Lobular Carcinoma. Conclusions: FNAC helps in rapid diagnosisand early management of malignant breast lesions.
Οι στάσεις και οι απόψεις των θεατών ως προς το αναλογικό, εικαστικό έργο και την ψηφιακή επαύξησή του

In our time, the artistic use of augmented reality (AR), is a recent and also common phenomenon that has a variety of implications in a theoretical and practical level. As a new medium of communication, AR affects the way that art and the viewer communicate, offering new and creative ways of artistic expression, that invites the viewer to interact with the artwork in a greater degree and in a variety of different ways. Contemporary researchers have studied the benefits of AR when applied in various fields, but the impications in relation to the viewer, when applied as an artistic medium, are still to a great extend unexplored. For that reason, this research, studies the opinions of the viewers when an analogue work of art is digitally augmented. In particular, it investigates whether specific characteristics of the viewer influence his/her perceptual attitude towards the digital augmentation and the analogue artwork and how he/she perceives the connection between those two elements and the differentiation that occurs when an analogue image is digitally augmented. Also, it investigates if the use of AR as a medium of artistic expression, enhances or diminishes the artistic experience of the viewer, what are the possible effects that occur from the use of a smartphone device and what are the minimum requirements of that device for a satisfactory artistic experience. To investigate those questions an experiment was conducted where analogue paintings were digitally augmented, so that the participants of the research could experience the phenomenon in question. Quantitative methods and specifically a structured questionnaire were used for data collection. According to the findings, the main characteristic that affected the viewer’s experience the most was his/her relation to the fields of art and digital technology and although AR enhanced the artistic experience, his/her subjective preference to the final result was an important factor. It was also found, that the connection between the analogue image and the digital augmentation was apparent to the viewer, but the perception of the differences that arose in form and meaning, seemed to be affected by his/her attitude towards the device, which in turn must provide the appropriate technological features for the correct viewing of the artworks.
Classification of Breast cancer tumors using Feature Selection and CNN

Breast cancer is one of the most dangerous diseases in the world and almost two million new cases are diagnosed every year. It starts from the breasts tissue and then spreads to other parts of the body. Early detection of breast cancer is important to save the life of a woman as it is related with a risen number of available treatment options. Benign and malignant are the major types of tumors and they are cancerous and non-cancerous, respectively. Benign is not dangerous since it does not destroy the nearby tissues and cannot spread or grow. Malignant tumor invades neighbouring tissues, blood vessels and spreads to other parts of the body by metastasis. Therefore, differentiating malignant from benign will help to detect breast cancer in its early stage. Nowadays, machine learning techniques are used to classify the tumor types hence the quality of lift is increased.
Agricultural Commodity Price Forecasting using PSO-RBF Neural Network for Farmers Exchange Rate Improvement in Indonesia

Agricultural commodity price forecasting becomes important for farmers since the knowledge of agriculture commodity price fluctuation can help the farmers to identify the right selling time.Recently, the absence of such the forecasting system makes the farmers decide to sell their commodities to middlemen which in turn, reduces their exchange rate as the length of distribution flow is complicated.The length of distribution flow is started from farmers, middlemen, wholesalers, retailers, and consumers.To address this problem, a forecasting system based on radial basis function neural network (RBFNN) is proposed.To optimize the network's learning process, particle swarm optimization (PSO)-based learning technique is applied.The RBFNN is chosen because of its ability to generally track irregular signal changing, good speed in learning process, and robustness.Meanwhile, the implementation of PSO aims to improve weight values towards global optimum in RBFNN model.
CRITICAL ANALYSIS OF THE ACTUAL STATE OF THE RESEARCH WORK OF SCHOOLCHILDREN IN THE GERMAN LANGUAGE

The article is devoted to the problem of conducting scientific work in institutions of secondary education, which is regulated by the Concept of “New Ukrainian School”. According to the latest trends in education, within the framework of specialized training, a high school student must choose one of two vectors of study: academic, with indepth study of individual subjects, with an orientation towards continuing education at the university or vocational school, which, along with obtaining a complete general secondary education, ensures the obtaining of the first profession. The article emphasizes that at the senior stage of education, schoolchildren must decide whether they want to continue engaging in science or using their own abilities and inclinations, to get a profession to shape their future life path. Based on the requirements of the Concept of “New Ukrainian School”, a critical analysis of the actual state of scientific work in the school is presented. The topic of scientific research of the contestants of the last years of the section “the German language” is considered, the main difficulties faced by the heads of scientific works of the Small Academy of Sciences are identified. The necessity of changing the mechanism of preparing the scientific work of schoolchildren has been substantiated, and a detailed methodology for working with scientific texts has been proposed. The article proposes indicative topics of scientific works on the German language and literature, presents (based on the work of the International Academy of Sciences of the past) samples of formulations of relevance, subject, object, purpose, novelty of school scientific work. The principles of determining these components are considered in detail. To help the teacher - the head of scientific works, the recommended lists of sites of the leading scientific periodicals of Ukraine and the world are proposed.&nbsp;&nbsp
Protection of patent law objects, created by artificial intelligence (AI) technologies

The aim of the article is to solve the scientific problem of outlining the issue of protection of patent law objects created using artificial intelligence technologies, and to establish whether it is possible to recognize artificial intelligence technologies as inventor at the present stage of development of legal systems. Philosophical, comparative-legal and system-structural methods were used in the research process. Based on the analysis of the European Patent Convention, the main generally accepted conditions of patentability of the invention are determined: novelty, inventive step, industrial applicability. It has been established that inventions created by artificial intelligence technologies will meet such criteria provided that certain requirements are met. In the context of the study, the case of the invention of artificial intelligence «DABUS» is analyzed and the results of its consideration in the European Patent Organization, the United Kingdom and the United States are summarized. In particular, it has been established that artificial intelligence technologies are currently not considered as inventors in either the Romano-Germanic or Anglo-Saxon legal systems.
A critical account of the concept of de-objectified hatred

This paper looks at Thomas Szanto?s theory of hatred that suggests that hatred has an indeterminate affective focus and that it derives its intensity from the commitment to the attitude itself. Contrary to Szanto?s theses, this paper claims that the hated properties are not necessarily fuzzy. On the contrary, in many cases we can clearly reconstruct the quasi-rational genesis of hatred, by relying on the deep structures behind the social dynamics (as demonstrated by the example of anti-Semitism). Furthermore, the paper states that even though in certain cases hatred is a truly empty of content, these cases are marginal in comparison to other, more important forms of hatred.
Using Gaussian Processes to Automate Probabilistic Branch &amp; Bound for Global Optimization

Manufacturing, aerospace, energy and several other industries have witnessed a steep growth of increasingly complex, information rich, devices and systems of devices requiring simulation-based approaches. In fact, most modern systems have such complex behavior that their performance can only be evaluated through, usually computationally expensive, simulations. In such settings, it is of paramount importance to provide solutions with quality guarantees. In this manuscript, we focus on algorithms capable of identifying a level set of solutions in proximity of the global optimum, and specifically on the Probabilistic Branch and Bound (PBnB) method. We propose a new way to automate branching decisions by coupling this method with Gaussian process (GP) estimation. The result is PBnB-GP, where, at each iteration a collection of GPs is used to decide how to branch the input space. PBnB-GP not only returns an estimate of the regions with near-optimal reward (using the power of PBnB), but also a “collection of Gaussian processes” that can produce point estimations for any location in the input space, thus harnessing the power of model-based black-box optimization. We present PBnB-GP for the first time together with preliminary numerical results.
Determination of Text Summary Using Morphological Filtering of Intuitionistic Fuzzy Hypergraph

Text Summarization has been an area of interest for many years. It refers to creating a concise text of a document without any lose of information. Researchers in the area of natural language processing have developed many abstractive and extractive methods for creating summary. Abstractive summaries modifies the sentences and creates a modified concise form, while extractive summaries pick relevant sentences. The extractive method used in this work is a novel one which models the document as an Intuitionistic Fuzzy Hypergraph (IFHG). The main objectives of the work are to convert a document in to an IFHG, apply morphological operations to it and to create a summary filter. This is the premier work which applies morphological operations on IFHG that is modeled on a text. The method has generated summary which is almost similar to a human generated summary and showed more accuracy when compared with other machine generated summaries. An attempt to apply skelton operation on text hypergraph is also made.
Impact of Agile Methodology on Software Development Life Cycle

Software engineering strategies had been hired for decades to create software products. The most challenging task for the development of software is to select appropriate software development methodologies. Software developers use agile techniques to reduce the problems faced by the traditional waterfall process. These days, the motivation behind most programming associations is to give programming in a fast time, inside financial plan and changing situations that propelled the conveyance of Agile. The strategy that utilizes iterative expansion and prototyping is generally utilized in an assortment of industry ventures as a lightweight advancement method that could fulfil the alterations of necessities. Short cycles are utilized which can be required for proficient item delivery. In the paper, we become mindful of the impacts that the coordinated strategy has programming improvement strategies with prominence to decent inside the authoritative, efficient, and social system. Coordinated methods are not in every case great, they have a few restrictions too. In this paper, we likewise clarify the estimations of Agile, its points of interest, and its weaknesses.
USING ART-THERAPY FOR THE FORMATION OF EMOTIONAL STABILITY OF PRESCHOOL CHILDREN

Progress of science and technique, newest technologies, created in the world not only new possibilities, and also and new difficulties. The alarm level considerably increased yet and through a world pandemic to the coronaviruses. Last days in society spreads an idea about importance of forming the personal psychical and emotional health, beginning from preschool age, as bases of becoming of personality, the most valuable achievement of that is emotional prosperity, are mortgaged exactly in childhood. The purpose of the article consists in describing the problem of forming the emotional firmness of preschool children by art-therapy and maintenance the psychical health of children as a major factor of personality development. Art is the unique type of human activity that represents reality in certainly-perceptible offenses, combining two opposite worlds: the world of fantasy and reality. The first mentions about facilities of the art-therapy treatment was found, possibly, in the days of existence of primitive man. It is important to emphasize that a main task to the art-therapy is not developing creative flairs, but achievement of therapeutic purpose. Analysing potential using of art-therapy in preschool establishments of education with the aim of forming of emotional stability for children, the special attention displaces on the variety of forms of the realization, such as: music-therapy, fairy-tale-therapy, puppet-therapy, painting-therapy, photo-therapy, physical-therapy, drama-therapy. Application of methods of therapy by an art on employments provides development of creative potential of children, enriches the emotional sphere of preschool children, deepens their world view, activates imagination and thinking of children. Art-therapy helps children to find and understand itself, successfully to adapt oneself new environment, be able to influence relationships with children, teachers, parents. Using art-therapy methods in an educational process assists forming of the personality all-round developed and emotionally stability. The prospects for further researches in this area we see in determining the most effective art-therapeutic technologies for individual development and forming sustainable emotional well-being of preschool children.
SINTESIS BEBERAPA SENYAWA ANALOG KURKUMIN SEBAGAI SENYAWA ANTIMALARIA TERHADAP PLASMODIUM FALCIPARUM DAN PENAMBATAN MOLEKULER TERHADAP PROTEIN PfATP6

Sintesis senyawa analog kurkumin 2,6-bis(3-hidroksibenzaliden)sikloheksanon (A); 2,6-bis(3-hidroksibenzaliden)siklopentanon (B); dan 2,6-bis(3-hidroksifenil)penta-1,4-diena-3-on (C) telah berhasil dilakukan. Sintesis senyawa analog kurkumin tersebut dilakukan menggunakan metode reaksi Claisen-Schmidt, mereaksikan 3-hidroksibenzaldehida dengan sikloheksanon, siklopentanon, dan aseton menggunakan pelarut THF dan katalis HCl 37%. Elusidasi struktur senyawa produk dianalisis dengan KLT, TLC scanner, spektrofotometer FTIR, 1H-NMR, 13C-NMR, dan LC-MS/MS. Uji aktivitas antiplasmodium diuji secara in vitro terhadap Plasmodium falciparum 3D7, dilanjutkan dengan kajian interaksi penambatan molekuler terhadap protein PfATP6. Hasil sintesis senyawa 2,6-bis(3-hidroksibenziliden)sikloheksanon; 2,6-bis(3-hidroksibenziliden)siklopentanon; dan 1,5-bis(3-hidroksifenil)penta-1,4-diena-3-on diperoleh persentase hasil produk berturut-turut sebesar 78,87%; 53,44%; dan 64,16%. Hasil uji antiplasmodium senyawa analog kurkumin A, B, dan C tersebut diperoleh nilai IC50 menggunakan analisis probit SPSS dengan taraf signifikansi 95% berturut-turut sebesar 16,93; 31,88; dan 39,04 Aƒi?½A¯Â?Â½AƒÂ¯A‚Â?A‚Â½Aƒi?½A¯Â?Â½Aƒi?½A‚Â¯Aƒi?½A¯Â?Â½Aƒi?½A‚Â¯Aƒi?½A¯Â?Â½Aƒi?½A‚Â?Aƒi?½A¯Â?Â½Aƒi?½A‚Â½Aƒi?½A¯Â?Â½AƒÂ¯A‚Â?A‚Â½Aƒi?½A¯Â?Â½Aƒi?½A‚Â­M. Berdasarkan penambatan molekuler, diperoleh nilai afinitas ikatan berturut-turut sebesar -8,5; -8,4; dan -8,1 kkal/mol.Synthesis of curcumin analogues 2,6-bis(3-hydroxybenzylidene)cyclohexanone (A); 2,6-bis(3-hydroxybenzylidene)cyclopentanone (B), and 1.5-bis(3-hydroxyphenyl)penta-1,4-diene-3-on (C) have been successfully accomplished. Synthesis of the curcumin analogues was carried out by condensation Claisen-Schmidt between 3-hidroxybenzaldehyde with cyclohexanone, cyclopentanone, and acetone, respectively. These curcumin analogues compound were characterized by TLC, TLC scanner, FTIR Spectrophotometer 1H-NMR, 13C-NMR, and LC-MS/MS. Antimalarial activity of the analog compounds was tested by antiplasmodium assay of Plasmodium falciparum 3D7 and the results were evaluated the interaction and affinity bonding by molecular docking. The spectroscopy characterization show that the reaction have been succesfully produce 2,6-bis(3-hydroxybenzylidene)cyclohexanone; 2,6-bis(3-hydroxybenzylidene)cyclopentanone, and 1.5-bis(3-hydroxyphenyl)penta-1,4-diene-3-on with yield of 78.87, 53.44, dan 64,16%, respectively. The IC50 value, represent against P. falciparum of the curcumin analogues were at IC50 16.93, 31.88, and 39.04 Aƒi?½A¯Â?Â½AƒÂ¯A‚Â?A‚Â½Aƒi?½A¯Â?Â½Aƒi?½A‚Â¯Aƒi?½A¯Â?Â½Aƒi?½A‚Â¯Aƒi?½A¯Â?Â½Aƒi?½A‚Â?Aƒi?½A¯Â?Â½Aƒi?½A‚Â½Aƒi?½A¯Â?Â½AƒÂ¯A‚Â?A‚Â½Aƒi?½A¯Â?Â½Aƒi?½A‚Â­M, respectively. Then, based on compound A, B, and C were calculated by molecular docking, it was obtained that the value of affinity bonding -8.5, -8.4, dan -8.1 kkal/mol, respectively.
Damage analysis in glass fiber reinforced epoxy resin via digital image correlation

The objective of the presented experimental work was to perform monotonic tensile tests and observe damage occurring on the surface of a glass fiber mat reinforced epoxy resin. The experiments were performed on dogbone specimens machined from a 5.8 mm thick composite plate. The macroscopic response was revealed from load data and by using 2D digital image correlation. FE-based DIC was employed to measure displacement fields and calculate strain fields across the entire Region of interest. In addition, the gray level residuals extracted from the correlation analyses were utilized to detect discontinuities (i.e. damage initiation and growth) on the surface of the investigated specimens.