Reviewerly/exHarmony huggingface dataset:
Eye Gaze Controlled Communication

Eye gazing is the fundamental nonverbal interaction that is presently strengthening in emerging technology. This eye blink device facilitates communication among people with disabilities. The process is so simple that it can be done with the eyes blinking on the specific keys built into the virtual keyboard. This type of system may synthesize speech, regulate his environment, and provide a significant boost in self-belief in the individual. Our study emphasises the virtual keyboard, which not only includes integrated alphabetic keys but also contains emergency phrases that may seek help in a variety of scenarios. It can, however, provide voice notification and speech assistance to those who are speech-impaired. To get this, we employed our PC/computer digital Digi-Cam, which is integrated and recognises the face and its elements. As a result, the technique for detecting the face is far less complicated than everything else. The blink of an eye provides an opportunity for a mouse to click on the digital interface. Our goal is to provide nonverbal communication, and as a result, physically impaired people should be able to communicate with the use of a voice assistant. This type of innovation is a blessing for those who have lost their voice or are suffering from paralytic ailments.
ENGLISH INFLECTIONAL ERRORS MADE BY INDONESIAN DEAF PEOPLE IN WRITING COMPOSITION

This paper was conducted to describe the types of English inflectional errors found in Indonesian deaf people in writing composition, identify the sources of the errors in the use of English inflection, and to find out the percentages. The Indonesian deaf people were from Indonesian deaf community groups on Facebook, WhatsApp, and Instagram. This research used a descriptive qualitative approach by applying English inflection theory by Andrew Carstairs-McCarthy. The data collection techniques were conducted by using an online English writing test. The results showed that there were 179 errors in total in Indonesian deaf people’s writings. The most found error was in Third Person Singular Present Inflection with 51 errors (28.5%) and the least was in Present Participle Inflection with 16 errors (9%), and the rest were 18 errors (10%) in Preterite Inflection, 19 errors (10.6%) in Comparative Inflection, 22 errors (12.3%) in Superlative Inflection, 27 errors (15.1%) in Past Participle Inflection, and 26 errors (14.5%) in Plural Inflection. The source of error was Intralingual Error with 156 errors (87.15%) (False Concept Hypothesized with 6 errors (3.3%), Incomplete Application of Rules with 8 errors (4.5%), Overgeneralization with 23 errors (12.85%), and Ignorance of Rules Restriction with 119 errors (66.5%)) and Interlingual Error with 23 errors (12.85%).
A framework to shape the recommender system features based on participatory design and artificial intelligence approaches

&lt;span lang="EN-GB"&gt;A recommender system is an algorithm aiming at giving suggestions to users on relevant elements or items such as products to purchase, books to read, jobs to apply or anything else depending on industries or situations. Recently, there has been a surge in interest in developing a recommender system in a variety of areas. One of the most widely used approaches in recommender systems is collaborative filtering (CF). The CF is a strategy for automatically creating a filter based on a user's needs by extracting desires or recommendation information from a large number of users. The CF approach uses multiple correlation steps to do this. However, the occurrence of uncertainty in finding the best similarity measure is unavoidable. This paper outlines a method for improving the configuration of a recommender system that is tasked with recommending an appropriate study field and supervisor to a group of final-year project students. The framework we suggest is built on a participatory design methodology that allows students' individual opinions to be factored into the recommender system's design. The architecture of the recommender scheme was also illustrated using a real-world scenario, namely mapping the students' field of interest to a possible supervisor for the final year project.&lt;/span&gt;
Higher-order Derivatives of Weighted Finite-state Machines

Weighted finite-state machines are a fundamental building block of NLP systems.They have withstood the test of time-from their early use in noisy channel models in the 1990s up to modern-day neurally parameterized conditional random fields.This work examines the computation of higher-order derivatives with respect to the normalization constant for weighted finite-state machines.We provide a general algorithm for evaluating derivatives of all orders, which has not been previously described in the literature.In the case of second-order derivatives, our scheme runs in the optimal O(A 2 N 4 ) time where A is the alphabet size and N is the number of states.Our algorithm is significantly faster than prior algorithms.Additionally, our approach leads to a significantly faster algorithm for computing second-order expectations, such as covariance matrices and gradients of first-order expectations.
RELEVANCE OF THE PROBLEM OF POLYETHNOCULTURAL COMPETENCE OF SENIOR SCHOOLS IN A RURAL EDUCATIONAL CLUSTER

The article reveals the relevance of the problem of the development of polyethnocultural competence of senior schoolchildren, identifies and substantiates methodological approaches to solving the problem under study. The need to create rural educational clusters to increase the effectiveness of work in the assimilation of the foundations of peace and harmony in a multinational society by schoolchildren is pointed out. The positions of scientists on the concepts of «multiculturalism», «competence», «multicultural competence», as well as the author's definition of the key concept of the research are. The significance of the axiological, humanistic, cultural and technological approaches in solving the problems of the development of polyethnic cultural competence of senior schoolchildren in the rural educational cluster is revealed.
BloomEclat: Efficient Eclat Algorithm based on Bloom filter

Eclat is an algorithm that finds frequent itemsets. It uses a vertical database and calculates item's support by intersecting transactions. However, Eclat suffers from the exponential time complexity of calculating the intersection of transactions. In this paper, a randomized algorithm called BloomEclat based on Bloom filter is presented to improve the Eclat algorithm complexity in finding frequent itemsets. Through Bloom Filter, an element’s membership to a set, can be checked and set operations such as intersection and union of two sets can be executed in a time efficient manner. By using these capabilities, Eclat algorithm’s intersecting problem can significantly improve. In BloomEclat algorithm with slight false positive error, the speed of the intersecting transactions is increased, and consequently the execution time is reduced.
Efforts to increase literacy at the parangtambung lorong library in Makassar, Indonesia

The society's relatively low reading interest is one of the problems faced by Indonesia. This condition can have an impact on socio-cultural conditions such as the habit of indulging in meaningless conversations. In Makassar City, various efforts have been made by stakeholders to overcome these problems. One of them is by establishing a hallway library in Parangtambung Village. The purpose of this activity is to educate the public about the importance of strengthening literacy through increasing reading interest. The method used was socialization and discussion. The Parangtambung hallway library can be used as a source of information and a source of knowledge which is expected to increase public interest in reading. After discussion, it was found that the cause of the low interest in reading in the community was due to the incompatibility of several types of books with the information needs of the community. Besides, the large potential for community entrepreneurship has encouraged the service team to add to the collection of books on entrepreneurship themes. The service team also provides motivation in fostering an entrepreneurial spirit. In addition, activities were enhanced with materials on business management and development through product innovation and digital-based marketing strategies.
SOME FEATURES OF FORMATION OF RESEARCH SKILLS OF STUDENTS IN THE CONTEXT OF PRACTICE-ORIENTED APPROACH

The article discusses the need for a practice-oriented approach in the preparation of future physics teachers. Various interpretations of the practice-oriented approach in training are discussed. Features of its implementation in the practice of training future teachers. The role of implementation of the practice-oriented approach in the formation of research skills of students – future teachers is considered. Formation of research skills in the conditions of digitalization of education with the help of information and communication technologies. The topic of electron movement in the Coulomb field of proton is analyzed. it contains interesting materials for a variety of forms of activity aimed at the formation and development of generalized and significant research skills for students. One of the variants of the conditions for the formation of students ' activities in practical classes in the discipline of physics of the atom, atomic nucleus and solid state is presented. It is revealed that research skills can be formed only in the process of cognitive activity of the subject of educational activity.
Isaac Newton's Microtonal Approach to Just Intonation

In 1665 Isaac Newton wrote a notebook in which he collected materials for a musical treatise which was never completed. He investigated ways of approximately representing just intonation scales by dividing the octave into many equally sized intervals. Strictly speaking, equal divisions of the octave are incompatible with just intonation, and just intonation intervals are audibly different from the intervals played on a modern equally tempered modern piano. By increasing the number of parts of an equal division, just intonation can be approximated arbitrarily well. Scales with more than 60 microtonal steps per octave, however, never gained wide acceptance in music theory or practice. Newton divided the octave into 612 equal parts so that he could represent the syntonic chromatic scale very accurately and he studied several equal divisions of the octave with fewer parts. His approximation problem is looked at in three ways: (1) A reconstruction of how he determined the many EDO-representations listed in the notebook is given. (2) Using computer programs Newton's tuning problem is solved "empirically" through calculating and evaluating the related approximations comprehensively. (3) The findings from the computer-assisted analysis are used to develop a more general geometric approach to the approximation problem.
WAYS OF DEVELOPMENT OF ALGORITHMIC LITERAC

In the modern era of Cybernetics, future primary school teachers should use the algorithms they use in everyday life creatively in the educational process. When performing various exercises that are considered in elementary school math lessons, the future specialist must use explicit algorithms himself and correctly implement them when teaching students. In primary school mathematics, future teachers use implicit algorithms such as: an algorithm for solving various types of problems, algorithms for solving complex equations and expressions, an algorithm for constructing certain geometric shapes, an algorithm for using the Union and intersection of sets in solving problems, and an algorithm for performing tasks related to simple and geometric quantities. The article discusses the method of applying these algorithms and the ways of developing algorithmic literacy of future specialists.
LEVEL STUDENTS INTEREST IN LEARNING SPEAKING BY UTILIZING PODCASTS THROUGH INQUIRY STRATEGYAT SMKN 4

Technology has produced prominent contribution on education in this information age, it is well known as Edu technology. The researcher tries to introduce an alternative media, namely podcasts. Podcast is one of interactive media applied to support learning process in the classroom in developing listening and speaking skills. A descriptive quantitative method was conducted by the researcher in this study. The population was the XI Grade of SMK 4 Sidrap. Due to this semester only consisted one intact class (20 students), the researcher used the cluster sampling method in deciding the research sample. The instruments that were used in collecting the data Liker’s scale questionnaire. The result of the data found was analysed by using SPSS Application. The students stated interested in learning speaking toward podcast. It was proved by the mean score of students’ interests was 55.40 and considered as moderately interested.
Diversity of supergene gold expressions and implications for gold targetting in an equatorial regolith (AMG's Couriège Exploration Prospect, French Guiana)

Abstract The Couriège prospect (French Guiana) provides key examples of the diversity of gold distribution related to supergene processes. The nature of gold in two contrasted weathering profiles is examined as a function of the weathering lithofacies. The autochthonous profile hosts weathered Au-bearing quartz veins whereas the pediment profile is enriched in free gold issued from dismantled gold-bearing quartz veins. The gold distribution is controlled by: (1) the preservation of primary gold as free gold in both transported and autochthonous horizons and as electrum inclusions in detrital pyrite; and (2) the formation of secondary gold through dissolution/precipitation processes, expressed as gold spherulites on the free gold grain surface, an Ag-depleted rim around transported free gold grains and Ag-depleted gold micro-inclusions hosted by oxidized autochthonous pyrite. Gold enrichment through supergene chemical processes remains limited within the truncated autochthonous profile. A new conceptual model is proposed for the area, defining the role of chemical and physical processes in gold endowment and accounting for the geomorphological context. The overall evolution includes (1) deep weathering and peneplenation, (2) dismantlement and transport of lateritic material and (3) the development of a latosol cover. This study highlights that gold exploration in tropical environments must consider the residual v. transported nature and the inheritance of targeted pedogenic horizons.
Hashtag Generation with Transfer Learning

In the recent past, Online Marketing applications have been a focus of research. Now-a-days we can observe a rapid growth of users on social media platforms which makes these platforms more suitable for Online Marketing. But still there are enormous challenges on the accuracy and authenticity of the content posted through social media. And if the social media business platforms are considered, majority of the users who try to add a market value to their own product face the problem of not getting enough attention from their target audience. Hashtags are super useful, not only do they help users find their desired product, they also help businesses reach their target audience. This paper focuses on providing trending hashtags for businesses to increase their reach in the market and also help users find their desired product. Firstly Data collection and preprocessing is done next few pre-trained model are selected for performing transfer learning, comparing results of various pre-trained models and choosing the best one and get the trending hashtags
AN ALGORITHM FOR OBTAINING THE OPTIMAL GUARANTEED RESULT FOR OBJECTS WITH EXTREME CONDITIONS

In this paper, an algorithm for obtaining the optimal guaranteed result for objects with extreme states is developed, based on the establishment of the function and functionals of an analytical form. The methodology for choosing a control strategy for an object with the best guaranteed result is described. The essence of the technique is to find an optimal solution to a multicriteria problem that maximizes the values of all functions. At the same time, the existence of a solution that literally maximizes all objective functions is a rare exception. The problem of obtaining a guaranteed result and the study of the possibility of its improvement, as well as the problem of choosing a rational solution were considered. It has been established that a strategy that has an efficiency estimate in a given operation equal to the best (largest) guaranteed result is the optimal guaranteeing strategy. The objective function has been determined, and an optimally guaranteed strategy has been undertaken for the management of biotechnological industries using information technology.
RESEARCH OF IMAGES FILTRATION METHODS IN COMPUTER SYSTEMS

It is known that human eyes are less sensitive to color, than to their brightness. In the RGB color space, all three components are considered equally important, and they are usually stored with the same resolution. However, you can display a color image more efficiently, separating the brightness from color information and presenting it with a higher resolution than color. RGB space is well suited for computer graphics, because it uses these three components for color formation. However, RGB space is not very effective when it comes to real images. The fact is that to save the color of an image, you need to know and store all three components of the RGB, and if one of them is missing, it will greatly distort the visual image representation. Also, when processing images in RGB space, it is not always convenient to perform any pixel conversion, because, in this case, it will be necessary to list all three values of the RGB component and write back. This greatly reduces the performance of various image processing algorithms. For these and other reasons, many video standards use brightness and two signals that carry information about the red and blue components of the signal, as a color model other than RGB. The most famous among such spaces is YCbCr.
A Novel Approach for Developing Paraphrase Detection System using Machine Learning

Plagiarism detection is difficult since there can be changes made to a sentence at several levels, namely, lexical, semantic, and syntactic level, to construct a paraphrased or plagiarized sentence posing as original.To identify cases of plagiarism and hence discourage the same, this paper presents a novel Supervised Machine Learning based Paraphrase Detection System developed by conducting experiments using Microsoft Research Paraphrase (MSRP) Corpus and assessed on the same.The proposed paraphrase detection system has achieved comparable performance with existing paraphrase detection systems.The major contributions of this paper are the utilization of a unique combination of lexical, semantic, and syntactic features, utilization of Shapley Additive Explanations (SHAP) Feature Importance Plots in XGBoost, and application of a soft voting classifier comprising of the top 3 performing standalone machine learning classifiers on the training dataset of MSRP Corpus.Another major contribution of the paper is the finding that applying data augmentation techniques degrades performance of machine learning classifiers.
Perbandingan Metode Deteksi Wajah Menggunakan OpenCV Haar Cascade, OpenCV Single Shot Multibox Detector (SSD) dan DLib CNN

Comparison of methods in face detection is needed to provide recommendation of best method. This study compared three methods in face detection, namely OpenCV haar cascade, OpenCV Single Shot Multibox Detector (SSD) and Dlib CNN. Face detection is focused on five challenging conditions, namely face detection in head position obstacles, wearing face masks, lighting, background images that have a lot of noise, differences in expression. Data testing is taken randomly on google with reference to one image consisting of more than one detected face with wild condition. The results of the comparative analysis in wild condition show that the OpenCV haar cascade has more weaknesses with a performance percentage of 20% compared OpenCV SSD and Dlib CNN method. Performance results of SSD and Dlib CNN have the same performance in the five conditions tested, which is about 80%.&#x0D;
Using Video Restoration to Improve Face Forgery Detection Based on Low-quality Video

The face forgery detection model based on XceptionNet has made great achievements in the detection field. However, it is still a challenge to detect fake faces in low-quality video images, because the low-quality video image has an insufficient resolution, which leads to the loss of details of the video image, thus resulting in image blurring. To solve this problem, this paper proposes a low-quality video face forgery detection method based on video recovery. This method mainly uses the Pyramid, Cascading, and Deformable convolution(PCD) module and the spatiotemporal attention (TSA) fusion module to restore low-quality video face images, and then obtains the restored feature map. And then the restored feature map is fed into the Xception classification network for face forgery detection. Moreover, The pre-training model parameters based on ImageNet makes the training model converge on 2GPU days. The results show that this method has a good experimental effect on the test data set.
AlphaZero: The new boss

A core novelty of Alpha Zero (Google Deepmind project) is the mix of tree search and deep learning, which has proven very efficient in board games like Chess, Shogi, and Go. These games have a discrete action space, however many reinforcement learning domains have an impact in the real world, for example in robotic control, navigation, and self-driving cars. This paper presents the effectiveness of such concepts through extensions of Alpha Zero. The paper shows the theoretical comparison of two search tree algorithms (Monto Carlo and Alpha Beta search tree) using two different engines of Chess (Stockfish and AlphaZero), thereby providing the first step toward unsupervised learning.
METODE PEMBELAJARAN MEMBACA DAN MENULIS PERMULAAN DI SD SWASTA MUHAMMADIYAH 2 PADANGSIDIMPUAN

AbstractReading writing early is a stage of the learning process for early grade elementary school students. Students learn to gain skills and master reading and writing techniques and capture the content of reading well. Therefore teachers need to design the learning of reading writing early well so as to grow the habit of reading as something fun. Scope Of Knowing Reading Writing Beginning 5 stages namely Fantasy Stage (Magical Stage), Self Concept Stage, Image Reading Stage (Bridging Reading Stage), Take-off reader stage, Independet Reader Stage. The implementation of MMP teaching and learning activities is divided into two stages, namely (a) bookless defense, and (b) learning using books. Keywords: Reading, Writing, Beginning
Information Block Detection in Infographic Based on Spatial Proximity and Structural Similarity (Student Abstract)

The infographic is a type of visualization chart used to display information. Existing infographic understanding works utilize spatial proximity to group elements into information blocks. However, these works ignore structural features such as background color and boundary, which results in poor performance towards complex infographic. We propose Spatial and Structural Feature Extraction model to group elements based on spatial proximity and structural similarity. We introduce a new dataset towards information block detection. Experiments show that our model can effectively identify the information blocks in the infographic.