Reviewerly/exHarmony huggingface dataset:
Restoration Techniques for the Enhancement of Stone Inscriptions

Characteristics and scenes of historical events were recorded by ancient inscriptions. As the time passes and due to weather conditions and improper handling, the ancient inscriptions may degrade. This paper reports the image processing methods in restoration and Enhancement of ancient inscriptions. Image restoration means recovering original image from degraded image. Image restoration represents basic problems in image processing with many applications such as reconstruction of missing data, recover ideal inscription image. Depending on different types of inscription image different restoration technique is used. The restoration techniques preserve the ancient inscriptions. In different types of images noise plays very important role. If noise in image is less then quality of image is high. Different filtering techniques are used to remove different types of noise from an image. This paper presents different restoration filters with some quality metrics for the inscriptions.
مدى الاستفادة من زخارف المصوغات التقليدية لتنمية الإبداع الفني وترسيخ الثقافة التراثية الفنية لدى طلبة المرحلة الثانوية بدولة الكويت The Extent Use of Traditional Jewelry Decorations for Developing Artistic Creativity and Reinforcing the Heritage-based Arts Culture of the Secondary School Students in Kuwait

Abstract The study aimed to identify the role of the elements of the school education system in utilizing the traditional Kuwaiti jewelry decoration heritage in the development of artistic creativity among high school students in Kuwait and monitor the most important results of investing in the use of these decorations in the consolidation of cultural heritage of art from the point of view of the teachers of art education. For this purpose, the researcher prepared a study tool consisting of (45) words distributed on five axes: school administration, curriculum and activities, teacher, school environment, and the consolidation of artistic heritage culture applied to a sample of (120) in the secondary stage in the State of Kuwait. The results revealed that the educational system of the school contribute to a medium degree in the use of decorations traditional jewelry to develop artistic creativity among Students. The results also revealed that the use of these decorations is reflected in the consolidation of cultural heritage of art to the students to a large extent. There were no statistically significant differences between the average scores of the sample members concerning their assessment of the role of the school system in benefiting from the traditional jewelry in the development of artistic creativity among the students, as well as the implications of this on the establishment of cultural heritage according to variables (Gender, years of experience). Keywords: Traditional jewels, art education, artistic creativity, artistic heritage, heritage culture. الملخص هدفت الدراسة إلى التعرف إلى مدى الاستفادة من زخارف المصوغات التقليدية في التراث الكويتي في تنمية الإبداع الفني وترسيخ الثقافة التراثية الفنية لدى طلبة المرحلة الثانوية؛ وذلك من وجهة نظر معلمي التربية الفنية. وعليه فقد قامت الباحثة بإعداد أداة خاصة بالدراسة تكونت من (45) عبارة تناولت خمسة محاور؛ هي إدارة المدرسة، والمناهج والأنشطة، والمعلم، والبيئة المدرسية، وترسيخ الثقافة التراثية الفنية، تم تطبيقها على عينة تكونت من 120 من معلمي التربية الفنية في المرحلة الثانوية بدولة الكويت. وتوصلت نتائج الدراسة إلى أن هناك تقديرات من وجهة نظر هؤلاء المعلمين في إمكانية الاستفادة من زخارف المصوغات التقليدية في تنمية الإبداع الفني لدى الطلبة وذلك بدرجة متوسطة. وأفادت العينة بأن توظيف هذه الزخارف ينعكس على ترسيخ الثقافة التراثية الفنية لدى الطلبة بدرجة كبيرة. كما تبين عدم وجود فروق ذات دلالة إحصائية بين متوسطات درجات أفراد العينة حول تقديراتهم لدور المنظومة التعليمية المدرسية في الإفادة من زخارف المصوغات التقليدية في تنمية الإبداع الفني لدى الطلبة، و كذلك حول انعكاسات ذلك على ترسيخ الثقافة التراثية الفنية تبعا لمتغيرات النوع، وعدد سنوات الخبرة. الكلمات المفتاحية: المصوغات التقليدية، التربية الفنية، الإبداع الفني، التراث الفني، الثقافة التراثية.
PRIVACY OF MEDICAL DATA UNDER THE CORONA PANDEMIC (COVID-19),COMPARATIVE STUDY WITH ANGLO AMERICAN LEGAL SYSTEM

It is an unimpeachable fact that the world went through complete mayhem overnight due to the Covid-19 pandemic. The wheel of the economy was completely paralyzed in all countries of the world, global stock markets collapsed and the price of a barrel of American oil fell below zero1, for the first time in history, due to the repercussions of the global closure resulting from the virus. Theworld started to apply restrictive measures to contain the plague, including social distancing, the matter which adversely impacted the general psychological state in the world. In the midst of those events, new cases of coronavirus infection increased among the world, as they exceeded twenty seven million infections and more than nine hundred thousand death toll - as of writing the following paper -2 which caused chaos among the global medical community due to the rapid spread of the epidemic and the lack of providing Medical supplies needed to combat it. Medical teams around the world have yet to come up with a vaccine to prevent this epidemic. It is well noticed from the audiovisual media across the globe and social mediathat there is lack of privacy to the news regarding the infected patients and their medical data, notably, if they are confirmed to be infected. Sometimes, their identity is revealed by their names and photos. In some cases, one would ponder, if it is permissible to reveal the identity of the person who is infected with the virus, including revealing his name, photo and personal data? - The issue of the electronic medical record (EHR) has also raised many questions about the medical privacy of patients with the spread of the new corona pandamic , especially with the spread of the idea of the electronic medical record in most countries and the ability of that record and the data it contains to violate publication and circulation quickly. - The spread of the new Corona epidemic also showed the effectiveness and success of the idea of telemedicine - as we will see in the present paper - which in turn seriously contributed to limiting the spread of the virus, but it also contributed at the same time to the possibility of violating the medical privacy of patients from Through the means of communication between the treating physician and the institution of care and between the person receiving treatment. - We will try to answer all these questions in this paper, with the help of what the comparative legislation has concluded in this regard.
Students’ Perception of Online Learning Experience First Semester SY 2020-2021: A Multinational Perspective

The study sought to acquire a multinational perspective of online learning using data gathered from college students in the Philippines, Kingdom of Saudi Arabia, and the Sultanate of Oman. Using a survey questionnaire of closed and open-ended questions, the respondents were asked about convenience, academic pressure and integrity, and the benefits and drawbacks of attending online classes. The results, after undergoing statistical processing, show that students from the three countries generally perceive online classes as effective, convenient, practical and, on the whole, better than face-to-face instruction. The main problem cited centred on the quality of connection. The study recommends that institutions come up with strategies based on the identified advantages of remote learning while taking steps to improve connection issues.
Driving automation: an evolving digital business ecosystem tale

The fully autonomous vehicle concept will become a reality within the next two decades. Nowadays, comprehensive driving automation is still on the horizon, and there is a long road to be driven by automakers to achieve a reliable solution. The product of the automotive ecosystem, the car, is evolving and advancing with immense processing capabilities and real-time connectivity. These factors open opportunities for non-automotive companies that are already investing in this industry using their knowledge of data, analytics and human behavior. The chapter delivers perspectives about the future of mobility and exposes a range of thoughts about how autonomous technology can affect the traditional automotive business ecosystem. Research about the trends related to automotive industry stakeholders - namely the incumbents, the start-ups, the big technological companies, the governmental institutions and the society - are presented. Furthermore, validation of the described perspectives is also exposed by providing insights obtained from automotive experts.
BUSINESS SIMULATION AS AN EDUCATIONAL TECHNOLOGY ADEQUATE TO ECONOMIC REALITY

The authors proposed to consider business simulation as a modern educational technology adequate to economic reality, as an interactive model of the economic system, which, by its internal conditions, is as close as possible to the corresponding institutional unit: a division or an entire enterprise, industry, country. Based on the expert analysis, it was revealed that employers and students in universities have different assessments of the skills required for employment. This gap in the assessment of competencies can be partially leveled through the implementation of business simulation. The authors gave an analysis of the business simulation from the point of view of a competency-based approach. They identified groups of tasks that can be solved with the help of this educational technology, and formed the corresponding general cultural, general professional and professional competencies of students in economic areas of training. The authors identified the advantages of using business simulation in teaching, which lay the foundation for the formation of competencies: the possibility of using it in a distance form, activation of creative abilities, the development of creative thinking, independence and self-discipline of students, great interest of students in the learning process due to gamification, applied nature and a high degree proximity to economic reality, the ability to simultaneously solve many problems. The disadvantages of using business simulation were also considered: a lack of contact work between a teacher and a student, an increase in the time spent in front of the screen, the need for special training of teachers, excessive involvement in the game part of a business simulation, financial costs for technical development and the creation of the necessary infrastructure. Foreign business simulations are characterized, the use of which makes it possible to hone the skills of doing business and making optimal economic decisions. The problems and prospects of development in Russia of training based on business simulation were identified. It was emphasized that further research requires studying the experience of using business simulation games in universities and business schools.
Cultivation of applied talents from the perspective of Ucinet software measurement Research on Visualization of General Aesthetic Education Construction

Abstract: At present, the lack of top-level design in the construction of aesthetic education in Chinese colleges and universities has caused general aesthetic education to stay on the surface. The division of specialties in local applied universities has also led to dysfunction of general aesthetic education, and insufficient reforms have led to problems such as the lack of general aesthetic education. Application-oriented colleges and universities face the training of application-oriented talents, and need to clarify their goals of general education reform, realize the return of general spirit through aesthetic education reform, and serve the cultivation of high-quality applied talents through general education reform. Based on the characteristics of application-oriented universities and combined with Ucinet software, this article will consider and explore the construction of general aesthetic education courses for application-oriented talent training. This issue will be discussed and analyzed by the predecessors through knowledge graphs for more in-depth interpretation and analysis.
VHCN : A Hybrid Data Center Network Based on VLC Link

With the development of cloud computing, the importance of data center increases. The traditional data center network is divided into two types. The wired data center network has poor scalability because of the limited number of server ports and equipment costs. Wireless data center network is often regulated by mechanical equipment, resulting in large delays and costs. This paper proposes a hybrid data center network VHCN based on VLC(visible light communication) link, Firstly, compared with the wireless data center network, VHCN does not need external objects and mechanical equipment, and VLC links are plug and play. Secondly, compared with the wired data center network HCN, VHCN does not change the original topology rules of HCN, and VHCN has higher fault tolerance and lower average path length under the same conditions. Finally, this paper proves a unicast and multicast routing algorithm.
Deep Catan

Catan is a popular multiplayer board game that involves multiple gameplay notions: stochastic elements related to the dice rolls as well as to the initial placement of resources on the map and the drawing of development cards, strategic notions for the placement of the cities and the roads which call upon topological and shape recognition notions and notions of expectation of gains linked to the probabilities of the rolls of the dice. In this paper, we develop a policy for this game using a convolutional neural network. The used deep reinforcement learning algorithm is Expert Iteration [2] which has already given excellent results for Alpha Zero and its descendants.
Fonctions complètement $Q$-additives le long des polynômes irréductibles à coefficients dans un corps fini

Let $\mathbb F$ be a finite field with $q$ elements, ${\bf I}_{N}$ the set of monic irreducible polynomials of degree $N$ over $\mathbb F$, $Q \in \mathbb F[T]$ and $w$ an integer-valued completely $Q$-additive function. The goal of this work is to study
Research on the Persuasive Design of Healthy Living Products

Unhealthy lifestyles are threatening human health. In order to improve unhealthy lifestyles, this paper has discussed how to help people to form a healthy lifestyle from the perspective of design. This project adopts the Fogg Behaviour Model and based on the Fogg Behaviour Grid and the Persuasive Sy
A SURVEY ON TEXT PRE-PROCESSING AND FEATURE EXTRACTION TECHNIQUES FOR SENTIMENT ANALYSIS OF TWITTER DATA

Natural Language Processing (NLP) is a popular branch of Artificial Intelligence (AI) that is concerned with how machines comprehend and interpret human language. A computer can only comprehend information in the form of numbers, not words. As a result, it's critical to research what preprocessing and feature extraction techniques are required to implement on a human language so that when it's transformed to machine-readable form, the computer can understand it. Text classification plays a vital role in NLP jobs, with applications in web search, document categorization, chatbots, virtual assistants, and other areas. Sentences and writings that lack structure are naturally difficult to convert to a machine-readable format. Pre-processing techniques have been given special attention since they serve as a precursor to the following stages of information retrieval strategies. Any errors in the early preprocessing approaches are passed on to the NLP pipeline's later stages. In addition, the order in which techniques like tokenization, StopWords elimination, and lemmatization are used is carefully considered. Information retrieval systems are particularly concerned with how efficiently textual input is cleaned and filtered to remove noisy material that does not add to efficiency and, moreover, leads to incorrect results. This survey work emphasizes the importance of effective text preprocessing approaches, as well as information retrieval using Natural Language Processing feature extraction techniques.
Computer-Based Mathematical Algorithms and Conceptual Models of Complex Networks for Evolutionary Computing

Computer-based mathematical algorithms and conceptual models of complex networks for the evolutionary computing are implemented in this paper. The development of modern science, especially system science and complexity science, that has increasingly revealed the interaction, operating mechanism, and internal laws of the objective world in the sense of a larger, deeper, and more complex relationship. A complex network is not a graph composed of nodes and their relationships, but a collection of graphs, or a random process of graphs. From this perspective, complex networks are an extension of graphs. We adopt this structure as the basis for the modeling, through the merger operator, the strong organization merges the weak organization to further strengthen the size and strength of the strong organization, and the modified algorithm is constructed. We applied the proposed model under different data sets and the experimental results compared with the other model has proven the performance.
New concepts in intuitionistic fuzzy labelling graphs

In this paper, the concept of intuitionistic fuzzy labelling (IFL) has been introduced. Intuitionistic fuzzy bi-magic labelling (IFBL) and intuitionistic fuzzy anti-magic labelling (IFAL) have been discussed for cycle, star and path graph. Intuitionistic fuzzy sets will be given both degree of membership and degree of non-membership, which are independent of each other to the extent, that their sum is not greater than one. Various types of arcs have been analysed and blank arc has been introduced and also discussed for intuitionistic fuzzy labelling. We also discussed about intuitionistic fuzzy bridge and intuitionistic fuzzy cut-vertices with examples and their properties are studied.
Research on the cultivation of College Students' cross-cultural communicative competence based on Immersive artificial intelligence multimedia technology

Integrate cultural knowledge into classroom teaching, and carry out various teaching activities with the help of the cultivation strategy of College Students' cross-cultural communicative competence based on Immersive artificial intelligence multimedia technology and “Ai + education”. This paper defines the three-dimensional data management view of user data management task, and puts forward a multi view interaction method for multi block data management of College Students' cross-cultural communicative competence flow field in immersive environment. This method uses the combination of three-dimensional data management view and main view to jointly complete the interactive task of multi block flow field data management in immersive environment.
Computer Vision Based Object Tracking for Multiple Robot Collaboration

In this research we will consider the case in which industrial robotic manipulators execute pick and place operations with dynamically moving objects. Objects are considered to move on a conveyor belt of the production line without being precisely positioned on it. This research will investigate how a simple color camera can be used for recognition using computer vision methods for background subtraction. The proposed algorithm detects objects located on the conveyor belt of a production line and plans the grasping process for the multiple manipulating robots. It uses methods such as Mixture of Gaussians, which appear to be suitable for application in industrial environments. The algorithm was experimentally tested in a simulation environment. This leads to a universal approach, which does not require usage of special tools and sensors for the production line. The approach could be applied for each conveyor belt of any industrial production line. The grasp planning can consider a larger number of robots and optimize the sequence of their movements.
InDISP: An Interpretable Model for Dynamic Illness Severity Prediction

At present, there are a large number of methods for predicting the dynamic illness severity. However, these methods have two limitations: (1) they are not sensitive enough to abrupt changes in illness severity; (2) they are not comprehensive enough to explain the predicted results. To tackle these two challenges, we propose a novel Interpretable model for Dynamic Illness Severity Prediction (InDISP), effectively combining the patient status, structured medical knowledge, and drug usage to predict the trend of Sequential Organ Failure Assessment (SOFA) scores using a temporal convolutional network. The capture of drug usage events makes InDISP get better results with an abrupt change of the SOFA score. In addition, InDISP can explain the influence of features on the prediction results and explore the internal mechanism of their combined influence.
Anomia for numbers – a rare post-stroke language impairment. A case study of a patient with isolated naming impairment of numerals

Introduction: Word-finding impairments (anomia) are the most common specific symptom of aphasia, which in adults are caused most often by stroke. Although anomic difficulties usually manifest themselves in different forms of speech and involve different word classes, in very rare cases they may involve only one category of words. This type of disorder is called category-specific anomia. Objective: The purpose of the article is to describe the changes in verbal communication in a patient with post-stroke aphasia, including in particular the analysis of the category-specific anomia for number, recognized in him in the long period from the onset of the disease. Material and methods: The patient's language skills were assessed at 2nd week, 3rd month (period of spontaneous recovery and early neurorehabilitation), and 12 months post stroke (distant neurorehabilitation period) using the Boston Test for the Diagnosis of Aphasia and clinical trials to assess different cognitive dysfunctions that can affect ability to name numbers. Results: The results of the conducted studies allowed to find in the patient in sequence: profound mixed aphasia (2nd week after the stroke), mild and moderate language deficits (3rd month after the stroke) and an isolated anomy of numbers (12th month after the stroke). Thanks to the functional improvement, one year after the stroke, the patient performed the tasks of naming objects, activities and describing the features of objects almost without error. In addition, he efficiently recognized and differentiated the values of numbers, correctly wrote down the numbers under dictation and made good mathematical calculations. However, these data contrasted with very low results in trials to name numerals (digits and numbers, hours, dates), assessed as anomia for numbers. Conclusions: Anomia for numbers is a very rare post-stroke language deficit that can be diagnosed in people with aphasia after the withdrawal of coexisting language disorders and the exclusion of other, than the nominating ones, possible causes of incorrect verbal responses to the numerical material.
Payara Cloud

Typically, deploying an application to the cloud involves a lot more work than “just” developing the application; “pods” (typically stripped-down virtual Linux servers) may need to be configured to run our application; there may be complex configuration files that may need to be developed before our application can run properly.
Data Literacy in Academic Libraries: Teaching Critical Thinking With Numbers

"Data Literacy in Academic Libraries: Teaching Critical Thinking With Numbers." Technical Services Quarterly, 39(2), pp. 205–206
Novel Machine Learning Model Uncovers Key Prostate Cancer Pathways

Abstract A biologically informed sparse neural network, P-NET, revealed previously unknown potential drivers.