Reviewerly/exHarmony huggingface dataset:
Bridging Semantic Web and Machine Learning: First Results of a Systematic Mapping Study.

Both symbolic and subsymbolic AI research have seen a recent surge driven by innovative approaches, such as neural networks and knowledge graphs. Further opportunities lie in the combined use of these two paradigms in ways that benefit from their complementary strengths. Accordingly, there is much research at the confluence of these two research areas and a number of efforts were already made to survey and analyze the resulting research area. However, to our knowledge, none of these surveys rely on methodologies that aim to capture an evidence-based characterization of the area while at the same time being reproducible. To fill in this gap, in this paper we report on our ongoing work to apply a systematic mapping study methodology to better characterise systems in this area. Given the breadth of the area, we scope the study to focus on systems that combine semantic web technologies and machine learning, which we call SWeML Systems. While the study is still ongoing, we hereby report on its design and the first results obtained.
Σχεδιάζοντας εκπαιδευτικά σενάρια για τη διδασκαλία των Φυσικών Επιστημών στο νηπιαγωγείο με τη χρήση των νέων τεχνολογιών και αξιοποιώντας τη διερευνητική μάθηση

This paper attempts through the bibliographical review to approach the way in which educational scenarios are designed by kindergarteners and draw their subjects from the learning area of natural sciences. Teaching natural sciences in the field of kindergarten is intended to understand concepts, gain experience and develop thinking skills and scientific method. It is therefore reasonable to value their teaching in the field of the kindergarten. In particular, the structure and organization of the educational scenario is mentioned through the use of ICT and its evaluation as well as the contribution of the educational software is mentioned. Particular mention is made of the importance of inquiry- based learning, a modern pedagogical approach - with many benefits for the development of basic skills of research action. These surveys make sense for young children and find fertile ground in the field of natural sciences.In this paper, an educational scenario on the phenomena of melting and coagulation from the world of natural sciences was designed and implemented in kindergarten.The aim of the work is to highlight the educational scenario for the teaching of natural sciences by using it as a valuable tool for all involved in the learning process.
Long distance scrambling and operator movement in Turkish

The present study focuses on long distance scrambling and operator movement from embedded clauses to sentence initial position in Turkish. It proposes that the scrambling of the arguments out of the complement clauses is possible due to the fact that such phrases move cyclically through phases in Turkish. It is also asserted that the adjuncts that have nominal features can scramble to the sentence initial position by using the spec DP position as an escape hatch similar to the arguments. On the other hand, the Phase Impenetrability Condition is violated in the movement of the non-nominal adjuncts out of such clauses. In the analysis of the adjunct clauses, it is asserted that the Late Adjunction Hypothesis successfully explains all types of extractions out of such clauses in Turkish. Arguments, adjuncts or their operators cannot be moved out of relative clauses or adverbial clauses since these clauses adjoin to the derivation post-cyclically. Turkish data support the assertion that extractions out of adjuncts are banned universally.
The Influence of E-Learning Policies during Covid-19 Pandemic to Student Satisfaction at Private Universities in Bandung, West Java

This study discusses how students' experiences and reactions to the current conditions because of Covid-19 pandemic and infected more than 300,000 people in Indonesia. Breaking the chain of transmission of the Covid-19 by the government, especially for the education, is not applied face-to-face in campus rooms, but becoming online lectures in online rooms (in the network). This changed not easy for the University, there must be prepared sufficient network infrastructure and servers. The purpose of this study is how student satisfaction using E-learning policies in Covid-19 Pandemic conditions. University’s managers must be sprightly to change planning and development to support the E-Learning policy. However, this raises concerns for students. Are students ready and alert to conduct E-Leaning properly. So far, only 30 percent of the implementation of E-Learning has been implemented in several universities, but due to the Covid-19 pandemic, have been forced to become 100 percent. In this study we focused on changing learning become E-Learning. Our research sample is students who have followed the new model of lectures and new policies, whether it is quite appropriate or not. The results of this study are students are satisfied with the E-Learning Policies that have been carried out by the university manager. © RIGEO 11(6), SPRING, 2021
Improvement of mean shift tracker for tracking of target with variable photometric pattern

The mean shift algorithm is one of the popular methods in visual tracking for non-rigid moving targets. Basically, it is able to locate repeatedly the central mode of a desirable target. Object representation in mean shift algorithm is based on its feature histogram within a non-oriented individual kernel mask. Truly, adjusting of the kernel scale is the most critical challenge in this method. Up to now, no methods are presented that can perfectly as well as efficiently adjust and adapt the kernel scale during track when a target is resized. Another problem of mean shift tracking algorithm will be encountered whenever photometric properties of target texture changes. In order to solve these problems, this paper presents a modified mean shift tracking algorithm that is used a robust adaptive sizing technique. It can also cope with photometric changes of target template by adapting of its model in every frame of image sequence. In our proposed method, at first, the target window is adaptively resized with respect to spatio-temporal gradient powers of its pixel intensities in current frame and then mean shift algorithm is consequently applied to the resulted sizing window. Compared to standard mean shift algorithm, experimental results show that our proposed method, not only reduces center location errors of target, but also efficiently track it in the presence of changing illumination.
THE ANALYSIS OF IDEOLOGIES IN DONALD TRUMP’S POLITICAL SPEECHES ON NATIONAL SECURITY : A CRITICAL DISCOURSE ANALYSIS

Although there were many studies of Political Discourse had been done in CDA approach, but still few studies concern withrelation of ideology and language in the discourse. This study aims to, 1) find the ideological discourse structureswhich are used to enhance ideology in political speeches delivered by Donald Trump and 2) reveal the ideologies found in the speeches of Donald Trump about National Security. The analysis in this study is based on Fairclough’s(1992 )framework of Critical Discourse Analysis which consists of three levels of analysis; textual, discursive practice and socio-cultural practice. Then, for textual analysis, the writer used one analytical tool that is the theory of Ideological Discourse Structure of the discourse by Van Dijk (2000). The results showed that Donald Trump used language tactfully to achieve his goal on politics. The conclusion obtained is that Donald Trump enhances fascist ideology in his speeches which can be seen through the ideological structure of discourse which is found in his political speech on National Security.
An Analysis of Blockchain Security System and Proactive Integrity Proofing Model in Centralized Cloud Environment

Blockchain technology impact of security is a huge development on many businesses based on secured information processing, transactions, and safety to make in communication, and it still affects many places, due to what it can do for privacy levels. Although the characteristics of blockchain technology make security services in a centralized cloud environment, But most of the innovative technology doesn't provide standards security levels from service management. The development of blockchains leads to more security based on cryptographic issues. The exploration focuses on recent development challenges in the Blockchain security system and then summarizes the specific security threats. We consider some ideas in potential research directions based on security improvements. In this review, K. Hao et al, describe the explore integrity proofing using cryptographic security related to Blockchain model technology and its application. With supportive factors consider destroying many technical areas in the future, deals with security factors. However, it will be upgraded in areas that have been discouraged from many new security areas. Security concerns, not only from some unexpected areas but also from distributed/distributed computing issues and information encryption algorithm issues. The resultant of these conventional algorithms produce a different level of terms of analysis that are reviewed on the rest of the sections.
From Far East to Baltic Sea

This study conceptually investigates the impact of quantum computers on blockchains within the supply chain context. Powerful quantum computers enable attackers to break into blockchains by rapid inverse calculations of mathematical problems that are the core of one of the main blockchain security foundations, known as asymmetric cryptography. They are also able to violate the integrity of public blockchains like bitcoin through mining acceleration. Hence, quantum computers can engender threats to the supply chain users of blockchain. On the other hand, there are ongoing efforts to create a quantum-resistant solution. One approach for such a solution is to utilize quantum tools themselves. Moreover, sufficiently powerful quantum computers are still being developed, and it is still unclear whether a quantum solution will arrive first or vice versa. The contrasting duality of quantum computers and lack of a clear picture over the timing of the arrival of a solution and threats give rise to the uncertainty that might hinder the attractiveness of blockchains for supply chains.
Segmentation of Liver Cancer Pathology Images Based on Multi-scale Feature Fusion

Liver cancer is one of the common tumor diseases at present, and the segmentation of lesion area is the most important link in the early treatment of liver cancer. The high resolution of liver cancer pathology images, irregular borders of the lesion area, and uneven color distribution make traditional deep learning models not suitable for automatic segmentation of liver cancer pathology images. For this reason, we use the sliding window method to preprocess the dataset, which effectively avoids the loss of small parts of the input image caused by direct downsampling. In the network part, a multi-scale dilated convolutional neural network model is used to segment liver cancer pathology images. The multi-scale dilated convolutional neural network includes a dilated convolution feature pyramid structure with multiple receptive fields and an encode-decode structure with feature fusion. Through comparative experiments with the classic network models FCN, U-Net and SegNet on the liver cancer pathology images dataset, we discover that the model has a good effect on the segmentation of liver cancer pathology images, it achieved 85.2% and 86.3% in IOU and dice coefficient indicators. Compared with the classic network model, this model can fuse more different levels of image information.
Discomfort assessment with pupil diameter transition on decelerating condition in an autonomous car

Recently, the field of autonomous driving has been developed remarkably and the technology primarily focuses on avoiding conflicts and conforming to traffic rules, which are for safety. However, the degree how much uncomfortable or stressed those in such cars feel should be different among individuals. Therefore, we need to make the degree of their individual stress quantified to get them in order to feel less stressed then. So, we conducted an experiment showing the participants various decelerating situations while they are in autonomous driving cars on simulation reproduced by virtual reality for the sake of making sure whether human’s pupil diameter would be an objective indicator that reflects human’s discomfort objectively in autonomous driving cars. As the result, we were able to make sure there seems to be a correlation between human’s pupil dimeter and their subjective discomfort, but unable to see the degree of their discomfort is involved with that of pupil diameter transition.
Utilization of Nominal Group Technique for Cloud Computing Risk Assessment and Evaluation in Healthcare

The emergence of distributed computing with adaptability, improved access to information and cost savings makes this innovation available and rapidly developing. Due to the rise in distributed computing, companies are turning to used distributed computing. Despite the fact that distributed computing offers countless benefits to customers, the above review reveals that the entry of distributed computing to healthcare remains low. With a compelling cloud risk assessment system, cloud customers will get assurance from this innovation. Study on the approach to assessing the dangers of the cloud that is still an infant and the complexity of distinguishing the security dangers that are actually being discussed. This article investigates the hazard assessment measure by introducing the technique into the hazard assessment measure. The hazard assessment is a key step in the hazard assessment measurement. Analyze the outcome of the hazard investigation measure and decide whether to recognize or support the hazard rules to resolve the hazard review. From our investigation, the NGTechinque is familiarized with thinking about examining the dangers that the previous stage causes. Since the hazard assessment depends on the authorized destinations, the internal and external environment and the perspectives of the partners, NGT promises convincing results. Not only does this review add to the focus on synthesizing dangers and dangers in a systematic way, but implicitly, the NGT measure makes partners which are aware of the current threatening circumstances for security cloud in the partnership. Equivalent freedom of communication is seen in this center which fulfills expectations and can produce a splendid disposition in the results of the risk assessment.
The Influence of AI-Based Chatbots and Their Design on Users’ Trust and Information Sharing in Online Loan Applications

Based on recent advances in Artificial Intelligence (AI), chatbots are now increasingly offered as an alternative source of customer service. For their uptake user trust in critical. However, little is known about how these interfaces fundamentally influence trust perceptions. In particular, it’s unclear what exactly causes perceptual differences - the change towards a conversational interface or the usage of anthropomorphic design elements. In this study, an online experiment with 160 participants was conducted to examine the differential effects of conversational interaction and anthropomorphism on trust in the interface or the provider within the context of online loan applications. The results show that both treatment conditions affect trust in the interface and the provider by increasing perceptions of social presence. Meanwhile, trust in the interface significantly effects the intention to share information, while trust in the provider has no effect on behavioral intention.
THE EFFECT OF CHARADES GAME TECHNIQUE ON PUPILS VOCABULARY RETENTION

This study is intended to enhance pupils retention of English vocabulary words to reinforce perception and memorization. Teaching words inside the classroom should be more interesting and enjoyable for pupils and accordingly charades games technique has been used as an alternative way. It is a useful technique that can be easily employed in the learning process. The study used quantitative research method. The samples of the study were randomly selected from the fifth primary school pupils. The aim of this study was to investigate the effect of charades game technique on enhancing pupils memory of English vocabulary by using the participants scores on vocabulary achievement tests. In this study, the pre-test and post-test designs are adopted. The sample of the study was 62 pupils. The study proved that the use of charades game technique has had a beneficial effectiveness on the pupils retention of English vocabulary.
PROBLEMATIKA USVAJANJA ITALIJANSKOG KAO JEZIKA STRUKE / THE PROBLEMATICS OF ACQUISITON OF THE ITALIAN AS A LANGUAGE FOR SPECIFIC PURPOSES: ANALIZA LEKSIČKIH GREŠAKA / ANALYSIS OF LEXICAL ERRORS

The purpose of this paper is to analyze lexical errors on the corpus of exams written by third year students of the Italian language and literature at the Faculty of Philosophy of the University of Sarajevo during the History of the Italian Language I course. We will conduct a quantitative and qualitatve analysis of the corpus with the goal of verifying if students are on their way to acquiring the expected B2 level of lexical skills according to the Common European Framework of Reference for Language guidelines. We expect that the research will show a significant influence of the mother tongue and other studied languages as well as that the grammar level will correspond to the B2 level. In the future, we plan to use this research to determine the shortcomings and quality of the History of the Italian Language I course.
Study of Ordinal Regression Method for Supporting Factors Investigation in Stages Condition of Breast Cancer Patients in Dr. Soetomo Surabaya Hospital, Indonesia

Dr. Soetomo Surabaya Hospital in 2019 received 167,000 cancer patients, and the highest was breast cancer. The increase in the stage of breast cancer is caused by the size of the tumor and how widely the cancer cells have spread to other organs. The purpose of this study was to apply the ordinal logistic regression method in the case of factors that support the condition of breast cancer stage in Dr. Soetomo Surabaya Hospital. The result of this study is that the factors that support the condition of breast cancer stages are grade and family history of breast cancer with a classification accuracy rate of 84.3%. Breast cancer patients at Dr. Soetomo Surabaya Hospital with grade 3 is likely to support staging conditions from locally advanced to advanced by 0.06 times compared to grade 1 patients. patients with grade 2 is likely to support staging conditions from locally advanced to advanced by 0.17 times compared to grade 1 patients. Patients who have a history of breast cancer in their family will have a risk of developing breast cancer with locally advanced stages to advanced stages 3.84 times than in patients with no family history of breast cancer.
Analisis Unsur-Unsur Intrinsik Cerita Pendek Tema Menyayangi Tumbuhan dan Hewan Pada Buku Siswa Kelas III SD

This study aims to analyze the intrinsic elements of the short story contained in the book of grade III elementary school students. In carrying out this research, a qualitative method was used to adapt the theory of analysis. The object of research is the intrinsic elements that make up the short story entitled The Sincere Apple Tree, The Story of Ants and Pigeons, Making and Caring for Hanging Plants, and The Mouse Deer and Crocodiles. The source of the data is in the theme book 2 Loving Plants and Animals. The research data collection uses the technique of data reduction stages, data presentation and conclusion. While in analyzing the data using the descriptive method of analysis. Based on data analysis, it can be described the intrinsic elements that make up the short stories, namely the theme, plot, characters, setting, and message. The results showed that all the short stories in the student books were in accordance with the intrinsic elements.
실시간 온라인 한국어 수업의 효과 및 선호하는 수업 요소 분석

This study was conducted to analyze the effects of real-time online Korean classes started due to COVID-19 for Korean learners and the elements of preferred classes, and to explore the future development direction of online learning. An online survey was conducted in January 2021 for 45 Vietnamese foreign learners enrolled in the Korean Language Education Center of S university, and descriptive statistics were analyzed. The questionnaire consisted of a total of 11 questions, such as satisfaction with online classes and the pros and cons of online classes compared to offline classes. As a result of the study, they showed higher satisfaction with the face-to-face class than the real-time online class method, and demanded a more dynamic and interesting class. In addition, there was a demand for diversification of class types and supporting materials. Accordingly, along with the development of an online education methodology optimized for online classes, the need for practical academic management for learners is raised. The results of this study can be used as basic data to increase the satisfaction of online classes for Korean learners.
Some Issues of Electronic Teaching and Assessment System in Non-Georgian Speaking Groups

Assessment plays an important role in the planning and implementation process of teaching. Assessment is a continuous process of collecting, recording and analyzing quality data to achieve learning objectives, a consistent study of the success and progress of language learners.In this paper we discuss the issues of teaching and assessment of Georgian as a foreign language. First of all, we will discuss some strategies related to learning process. We will present our innovation in the assessment system. This is a novelty that we have worked on with our colleagues at Batumi Shota Rustaveli State University within the short-term educational program “Georgian Language for Foreigners”.In this work we will discuss about how to use the electronic resources to develop specific language competencies and assess the knowledge based on relevant materials. We note that the article mainly reflects our personal experience, which we have accumulated in the teaching process, the innovations that we have tried to introduce to groups of non-Georgian listeners.
Introduction to Cloud Native Architecture

A comprehensive look at cloud-native architecture must first begin with its definition. This chapter also details why cloud-native plays a significant role in modern-day architecture.
Big Self-Supervised Models Advance Medical Image Classification

Self-supervised pretraining followed by supervised fine-tuning has seen success in image recognition, especially when labeled examples are scarce, but has received limited attention in medical image analysis. This paper studies the effectiveness of self-supervised learning as a pretraining strategy for medical image classification. We conduct experiments on two distinct tasks: dermatology skin condition classification from digital camera images and multi-label chest X-ray classification, and demonstrate that self-supervised learning on ImageNet, followed by additional self-supervised learning on unlabeled domain-specific medical images significantly improves the accuracy of medical image classifiers. We introduce a novel Multi-Instance Contrastive Learning (MICLe) method that uses multiple images of the underlying pathology per patient case, when available, to construct more informative positive pairs for self-supervised learning. Combining our contributions, we achieve an improvement of 6.7% in top-1 accuracy and an improvement of 1.1% in mean AUC on dermatology and chest X-ray classification respectively, outperforming strong supervised baselines pretrained on ImageNet. In addition, we show that big self-supervised models are robust to distribution shift and can learn efficiently with a small number of labeled medical images.