Reviewerly/exHarmony huggingface dataset:
A FACIAL RECOGNITION USING OPEN COMPUTER VISION

The Face recognition and image or video recognition are popular research topics in biometric technology. Real-time face recognition is an exciting field and a rapidly evolving issue. Key component analysis (PCA) may be a statistical technique collectively called correlational analysis . The goal of PCA is to scale back the massive amount of knowledge storage to the dimensions of the functional space required to render the face recognition system. The wide one-dimensional pixel vector generated from the two-dimensional image of the face and therefore the basic elements of the spatial function are designed for face recognition using PCA. this is often the projection of your own space. Sufficient space is decided by the brand. specialise in the eigenvectors of the covariance matrix of the fingerprint image collection. i'm building a camera-based real-time face recognition system and installing an algorithm. Use OpenCV, Haar Cascade, Eigen face, Fisher Face, LBPH and Python for program development.
DEVELOPMENT OF AN OPTIMAL PATH PLANNING USING ELITE OPPOSITION BASED BAT ALGORITHM FOR A MOBILE ROBOT

This research work presents the development of an optimal path planning using elite opposition based bat algorithm (EOBA) for mobile robot, such that the robot avoids obstacle(s) without making contact with them.The bat algorithm (BA) is a nature inspired meta-heuristic algorithm that works on the basis of the echolocation behavior of bat.It, however, has a poor exploration capability leading to it easily getting stuck in local optima.The EOBA is developed by modifying the BA with the elite opposition-based learning (EOBL) so as to diversify the solution search space and the inertial weight in order to balance its exploration and exploitation.The performance of the proposed path planning technique was compared with that of the standard BA based on the ability to generate an optimal path for a mobile robot in a developed simulation environment.The simulation results showed that EOBA provide an optimal path with minimum elapsed time as compared to that of the standard BA.All simulations were carried out using MATLAB R2013b.
Testing Acoustic Voice Quality Classification Across Languages and Speech Styles

Many studies relate acoustic voice quality measures to perceptual classification.We extend this line of research by training a classifier on a balanced set of perceptually annotated voice quality categories with high inter-rater agreement, and test it on speech samples from a different language and on a different speech style.Annotations were done on continuous speech from different laboratory settings.In Experiment 1, we trained a random forest with Standard Chinese and German recordings labelled as modal, breathy, or glottalized.The model had an accuracy of 78.7% on unseen data from the same sample (most important variables were harmonics-to-noise ratio, cepstral-peak prominence, and H1-A2).This model was then used to classify data from a different language (Icelandic, Experiment 2) and to classify a different speech style (German infant-directed speech (IDS), Experiment 3).Cross-linguistic generalizability was high for Icelandic (78.6% accuracy), but lower for German IDS (71.7% accuracy).Accuracy of recordings of adult-directed speech from the same speakers as in Experiment 3 (77%, Experiment 4) suggests that it is the special speech style of IDS, rather than the recording setting that led to lower performance.Results are discussed in terms of efficiency of coding and generalizability across languages and speech styles.
An Efficient Iterative Approach to Explainable Feature Learning

This article introduces a new iterative approach to explainable feature learning. During each iteration, new features are generated, first by applying arithmetic operations on the input set of features. These are then evaluated in terms of probability distribution agreements between values of samples belonging to different classes. Finally, a graph-based approach for feature selection is proposed, which allows for selecting high-quality and uncorrelated features to be used in feature generation during the next iteration. As shown by the results, the proposed method improved the accuracy of all tested classifiers, where the best accuracies were achieved using random forest. In addition, the method turned out to be insensitive to both of the input parameters, while superior performances in comparison to the state of the art were demonstrated on nine out of 15 test sets and achieving comparable results in the others. Finally, we demonstrate the explainability of the learned feature representation for knowledge discovery.
Vlog Project or Picture Series: Examining Effective Techniques in Teaching Speaking Skills

Vlog Project or Picture Series: Examining Effective Techniques in Teaching Speaking Skills. Objectives: This study investigates whether there are significant differences between students who are taught using the vlog project and picture series techniques. Methods: Quasi-Experimental method was used to collect information through two groups as experimental, and one control group, the number of samples is 58 students. The data obtained were analyzed using ANOVA test and continued with the Scheffe test. Findings: The findings in this study reveal that the use of the vlog project technique is, to some extent, more effective than the use of picture series and conventional techniques. It is evidenced by the value of the mean difference in the Scheffe test, which is positive for the other two groups, namely 2.70760 and 5.46316. Conclusion: vlog project technique significantly affects the teaching-learning process of speaking in the eighth grade, especially for recount text. Keywords: teaching techniques, speaking skills, vlog projects, picture series. Abstrak: Vlog Project &amp; Picture Series: Menguji Teknik yang Efektif dalam Mengajar Keterampilan Berbicara. Tujuan: Penelitian ini menyelidiki apakah ada perbedaan yang signifikan antara siswa yang diajar menggunakan teknik vlog project dan picture series. Metode: Metode Quasi-Experimental digunakan untuk mengumpulkan informasi dalam penelitian ini melalui dua kelompok sebagai eksperimen dan satu grup kontrol, total siswa sebagai sample adalah 58. Data yang diperoleh dianalisis menggunakan ANOVA test dan dilanjutkan dengan Scheffe test. Temuan: Penemuan dalam penelitian ini mengungkap bahwa penggunaan teknik vlog project, sampai padabatas tertentu, lebih efektif daripada penggunaan teknik picture series maupun teknik konvensional. Hal ini dibuktikan dengan nilai mean difference pada scheffe test bernilai positif terhadap kedua kelompok lainnya,yakni 2.70760 dan 5.46316. Kesimpulan: Teknik vlog project secara signifikan mempengaruhi proses belajar mengajar berbicara di kelas delapan, terutama untuk teks recount. Kata kunci: teknik mengajar, keterampilan berbicara, vlog project, picture series. DOI: http://dx.doi.org/10.23960/jpp.v11.i2.202111
The Development of Android-Based Learning Media (Chemdroid) on The Topic Thermochemistry to Improve The Students’ Achievement

&lt;p&gt;The application of technology in learning is currently increasingly sophisticated. The development of learning media is widely applied to make learning more flexible. in this article will discuss the development (R&amp;amp;D) of Chemistry on Android (Chemdroid). This study aims to determine the media's quality based on the chemistry teacher's assessment, determine the readability of the media based on the assessment of students who have received this material, and determine the impact of this media trial in chemistry learning. The development design used is ADDIE (Analysis, Design, Development, Implementation, and Evaluation). At the implementation stage, the posttest control group design was used by involving two classes as the control and experimental class. The variable measure is students achievement. The results obtained are that the Chemdroid learning media has been developed and declared valid by four experts. The assessment results by five high school chemistry teachers were Very Good, with a mean value of 3.31. The results of this assessment state that the Chemdroid learning media is suitable for use as a learning media for thermochemistry. In comparison, the readability test results by 16 students from 4 various senior high schools resulted in Good criteria with a mean of 3.24, which means that this media is legible and useful for students in various groups. The analysis of the implementation results states that the two classes have a significant difference.&lt;/p&gt;
GNVDF: A GPU-accelerated Novel Algorithm for Finding Frequent Patterns Using Vertical Data Format Approach and Jagged Array

In the modern digital world, online shopping becomes essential in human lives.Online shopping stores like Amazon show up the "Frequently Bought Together" for their customers in their portal to increase sales.Discovering frequent patterns is a fundamental task in Data Mining that find the frequently bought items together.Many transactional data were collected every day, and finding frequent itemsets from the massive datasets using the classical algorithms requires more processing time and I/O cost.A GPU accelerated Novel algorithm for finding the frequent patterns using Vertical Data Format (GNVDF) has been introduced in this research article.It uses a novel pattern formation.In this, the candidate i-itemsets is divided into two buckets viz., Bucket-1 and Bucket-2.Bucket-1 contain all the possible items to form candidate-(i+1) itemsets.Bucket-2 has the items that cannot include in the candidate-(i+1) itemsets.It compactly employs a jagged array to minimize the memory requirement and remove common transactions among the frequent 1-itemsets.It also utilizes a vertical representation of data for efficiently extracting the frequent itemsets by scanning the database only once.Further, it is GPU-accelerated for speeding up the execution of the algorithm.The proposed algorithm was implemented with and without GPU usage and compared.The comparison result revealed that GNVDF with GPU acceleration is faster by 90 to 135 times than the method without GPU.
Teleatendimento psicológico em universidade pública da saúde no enfrentamento da pandemia: da Gestão com Pessoas à Telepsicologia

university of Health sciences in coping of pandemic: from People Management to telepsychology asesoramiento psicológico remoto en universidad pública de
Model Pertuturan Anak Down Syndrome SMA Luar Biasa Dian Grahita Jakarta: Kajian Pragmatik

This study aimed to identify and describe the speech model for children with down syndrome in Dian Grahita Special High School Jakarta with a pragmatic study. This research is qualitative. The subjects in this study were Dian Grahita Special High School students in Central Jakarta. The results of the research include: (a) representative speech by stating, agreeing, mentioning, showing, admitting, reporting; (b) commissive speech to agree, threatening: (c) directive speech ordering, inviting, warning, requesting, ordering; (d) expressive speech to criticize, apologize, complaining, thanking; and (e) declarative speech to prohibit. According to Searle, this study found 55 groups of speech acts with 87 variants of speech acts from the five major groups of speech acts. The percentage of speech acts data for children with Down syndrome is as follows. Representative utterances are 54 utterances or equivalent to 62%, commissive utterances are 4 utterances or equivalent to 5%, directive utterances are 21 utterances or equivalent to 24%, expressive utterances are 7 utterances or equivalent to 8%, and declarative utterances are 1 utterance or the equivalent of 1%. Students understand the communication conveyed by the teacher in classroom learning even though they express it only with short answers, including lingual markers, yes, no, okay, sorry, beware, already, not yet.
On the number of distinct &lt;i&gt;k&lt;/i&gt;-decks: Enumeration and bounds

The $ k $-deck of a sequence is defined as the multiset of all its subsequences of length $ k $. Let $ D_k(n) $ denote the number of distinct $ k $-decks for binary sequences of length $ n $. For binary alphabet, we determine the exact value of $ D_k(n) $ for small values of $ k $ and $ n $, and provide asymptotic estimates of $ D_k(n) $ when $ k $ is fixed.Specifically, for fixed $ k $, we introduce a trellis-based method to compute $ D_k(n) $ in time polynomial in $ n $. We then compute $ D_k(n) $ for $ k \in \{3,4,5,6\} $ and $ k \leqslant n \leqslant 30 $. We also improve the asymptotic upper bound on $ D_k(n) $, and provide a lower bound thereupon. In particular, for binary alphabet, we show that $ D_k(n) = O\bigl(n^{(k-1)2^{k-1}+1}\bigr) $ and $ D_k(n) = \Omega(n^k) $. For $ k = 3 $, we moreover show that $ D_3(n) = \Omega(n^6) $ while the upper bound on $ D_3(n) $ is $ O(n^9) $.
MANIPULATION AS A MEANS OF INFORMATION AND PSYCHOLOGICAL INFLUENCE IN THE INFORMATION WAR

An article devoted to the study of the main points of the use of manipulations of mass consciousness for the purpose of information and psychological impact in information wars. Manipulation is viewed as a latent influence, in which the addressee of the influence, against his own will, performs the actions necessary for the manipulator. One of the tasks of the information war is to manipulate public opinion. The object of information-psychological influence is human consciousness, therefore information-psychological weapons are very dangerous, since they affect the functioning and development of society, the psyche and behavior of the population.
Logical Fallacy Argumentation on Testimonials on Homeshopping Television Show

The decision to purchase a product is inseparable from the buyer's trust in a product. Testimonials are a tool for marketers to eliminate consumer barriers about the product to be purchased. Testimonials on home shopping television products tend to be controllable. The selection of sources, the use of scripts, and the editing process can be a form of media control over the information received by the public. This study focus on analyzing testimonials from the logical side of the testimony content. The method used to analyze this logical fallacy is qualitative content analysis. The text is separated using Toulmin's model into three parts, namely claim, ground, and warrant. This research uses a logical fallacy as a tool to evaluate the logic of the testimony in terms of content. The results of this study found that there was a logical fallacy in the testimony content. The fallacies include generalization fallacy, fallacy fallacies, fallacy of composition, appeal to wealth fallacy, appeal to pity, dan appeal to force.
Implementation of Data Mining Using C4.5 Algorithm for Predicting Customer Loyalty of PT. Pegadaian (Persero) Pati Area Office

PT Pegadaian (Persero) is engaged in the business of providing credit services with pawn, non-pawning and gold investment products. One of the right marketing strategies to survive today's high competition is to maintain customer loyalty, researchers use several data variables available in the MIS (Management Information System) in the form of customer transaction frequency, how many products are taken by customers, customer satisfaction and direct interviews. to predict customer loyalty of PT Pegadaian (Persero) by implementing the c4.5 algorithm. The c4.5 algorithm is the algorithm used to create a decision tree. Decision trees are a very powerful and well-known method of classification and prediction. The decision tree method converts very large facts into a decision tree that represents the rule. Rules can be easily understood in natural language. This study aims to determine the accuracy of the C4.5 algorithm to predict customer loyalty of PT Pegadaian (Persero) and the most influential factors in loyalty. The results of the experimental application of the c4.5 algorithm show that the level of accuracy generated in predicting customer loyalty is quite high, namely 89.94% in data testing 1 and 94% in data testing 2. The application of the c4.5 algorithm in predicting customer loyalty of PT Pegadaian (Persero) can be well applied.
Pengaruh Disiplin dan Kemandirian Belajar terhadap Hasil Belajar Matematika Siswa Kelas V Sekolah Dasar

The study aimed to prove the positive effect of: (1) learning discipline on mathematics learning outcomes; (2) independence in learning on mathematics learning outcomes; (3) discipline and independence in learning on mathematics learning outcomes. The study used correlational method. Data analysis used simple regression analysis and multiple regression analysis with a significance level of 5%. The results showed that: first, there was positive effect between learning discipline and mathematics learning outcomes (tcount = 4.647&amp;gt; ttable = 1.652 and Sig. 0.000 &amp;lt;0.05). The coefficient of determination was 9%. The regression equation was Y = 1.621 + 0.054X1. Second, there was positive effect between independence in learning and mathematics learning outcomes (tcount = 6.941&amp;gt; ttable = 1.652 and Sig. 0.000 &amp;lt;0.05). The coefficient of determination was 18.1%. The regression equation was Y = -8,167 + 0.084X2. Third, there was positive effect between discipline and independence in learning on mathematics learning outcomes (Fcount = 24,559&amp;gt; Ftable = 19,491 and Sig. 0,000 &amp;lt;0.05). The coefficient of determination was 18.5%. The regression equation was Y = -9,367 + 0.013X1 + 0.075X2. It concludes that there is positive effect between discipline and independence in learning on mathematics learning outcomes of fifth grade students of public elementary schools in Klirong sub-district in academic year of 2019/2020 simultaneously or separately.
Model Dinamis Analisis Keputusan Penanganan Penyebaran Covid-19 Menggunakan Causal Loop Diagram

The spread of Corona Virus or Covid 19 is very fast and has become a pandemic for all countries in this world. In a very dynamic and complex development process consisting of many interrelated and diverse components, each of which has different goals. Regarding the dynamic and complex challenges in the field of developing corona virus spread, the ability to identify is needed to reduce the circulation of the virus. For this reason, it is necessary to look further into the factors that influence and inhibit the spread of the virus and what strategies are needed and analyze the dynamically dynamic causes of these factors using the method of approach that uses the Cause Circle Diagram (CLD) system. ). The purpose of this research is to get the right solution in making decisions to handle the spread of corona virus through a system approach with a Causal Loop Diagram (CLD) model.
CREATIVE DEVELOPMENT OF STUDENTS IN THE MUSICAL AND PEDAGOGICAL CONCEPT OF K. ORFF

The essence of K. Orff’s musical and pedagogical concept is considered in the article; the importance of the creative development of students of secondary schools is revealed. The meaning of 'elementary music,' which is connected with movement, dance, and word and creates a basis for the child’s development, is clarified. The five-volume collection 'Orff-Schulwerk. Musik für kinder' is analyzed; its role in creating analogues in different countries is revealed. The problem of stimulating the creative potential of the individual by means of the music-pedagogical system is highlighted.&#x0D; The instruments of the children’s orchestra developed by K. Orff together with K. Sachs are described, which included melodic and noise percussion instruments, the simplest wind, and strings. The principle of active music-making and creative development of personality on the basis of playing children’s musical instruments, rhythmic movements, dance, and pantomime is analyzed. The role of rhythmic, vocal, and instrumental improvisations for the creative development of students is revealed. The curriculum at the Orff’ Institute is covered, which included the methods of teaching children’s musical instruments, a course of rhythmic exercises, choreography, conducting, solfeggio, instrumentation.&#x0D; The work ‘Theory and practice of music and aesthetic education according to the system of K. Orff’ (by E. Kurishev, L. Kurisheva) is analyzed, which highlights the practical experience of Ukrainian teachers in the classroom and extracurricular activities with students. The countries that have shown interest in Orff's pedagogy and continue to work actively on this system are listed. K. Orff's conviction is formulated that the art of the future is inherent in the nature of human abilities and it is only necessary to create conditions for the creative development of the individual.
INVESTIGATING LEXICAL BUNDLES IN THE CORPORA OF ENGLISH AND INDONESIAN RESEARCH ARTICLES WITH THE SKETCH ENGINE

The low publication rate of Indonesian researchers in reputable international journals, particularly in arts and humanities,is caused, among others, by difficulties they faced in producing precise expository texts in English, which are differentfrom texts in Indonesian. The present study examines lexical bundles in the corpora of English and Indonesian researcharticles (RA) on literature and linguistics to describe the similarities and differences of conventionalized phraseology inthe scientific genre of English and Indonesian by using corpus software, namely Sketch Engine. The study focuses onthe frequency, structural and functional characteristics of lexical bundles using a mixed-method research design. TheEnglish corpus comprises 1,351,048 words derived from 124 RA, while the Indonesian corpus consists of 637,910 wordscollected from 124 RA. We found that three-word lexical bundles are more prevalent than four-word lexical bundles inboth corpora. Based on the structural forms, prepositional-based bundles are the most frequent form in English RA, whilenoun-based bundles are the most common form in Indonesian RA. There were no participant-oriented bundles foundin the Indonesian RA corpus in terms of functional classification, whereas the English RA corpus involved more variedfunctional categories of lexical bundles. The findings provide an understanding of phraseological combinations in Englishand Indonesian scientific writing, characterizing disciplinary discourse as well as native and non-native English speakers’rhetorical style, and have pedagogical implications for EAP practitioners.
The Code of Maya Kings and Queens: Encoding and Markup of Maya Hieroglyphic Writing

Maya hieroglyphic script (300 BCE–1500 CE) is a semi-deciphered logographic and syllabic autochthonous writing system from the Americas and is one of the most significant writing traditions of the ancient world. Because of its incomplete state of decipherment, complexity and variation in graphematics, and partially lost lexicon, transliterations cannot be used within the encoding. The project Text Database and Dictionary of Classic Mayan approaches this challenge with an encoding strategy relying on stand-off markup, which is enriched with additional information sources. Using different formats (RDF, XML) and standards (CIDOC CRM, TEI P5), the inscriptions are encoded in a multilevel corpus: (1) a tei_all-compliant schema defining values and rules for the encoding of the text's topological and structural features, (2) a "Sign Catalogue" for the classification of Maya hieroglyphs, and (3) the tool ALMAH (Annotator for the Linguistic analysis of MAya Hieroglyphs) for linguistic analyses. In this paper, we focus on the TEI schema and highlight our strategy for encoding hieroglyphs without using linguistic transliterations and transcriptions.