Reviewerly/exHarmony huggingface dataset:
Study on Different Methods for Recognition of Facial Expressions from the Data Generated by Modern HMDs

One of the non-verbal ways most used by human beings to communicate and convey emotions, often unconsciously, is facial expression. The recognition and tracking of facial expressions are among the main challenges of several companies that intend to enter virtual social environments. Virtual worlds are becoming viable due to the use of head-mounted displays (HMDs) that allow people to interact in these environments with a great deal of realism. However, recognizing and tracking facial expressions on HMDs has been challenging due to optical occlusions. The same device occludes the eyes, which are a fundamental part of facial expressions. In general, the first HMDs did not have cameras or sensors that captured what was happening behind the device. Because of this, previous research has often proposed to work by extracting partial facial features; for example, mouth, cheeks, chin, and so on). However, as of 2021, some of the latest HMDs manufactured have incorporated cameras and/or sensors for face and hand tracking. Among these modern devices, we can mention HTC-Vive-Focus-3 manufactured by HTC, HP-Reverb-G2-Omnicept-Edition manufactured by HP, Meta-Quest-Pro, manufactured by Meta, and Pico-4-Pro manufactured by Pico. This work aims to carry out a study of the main methods of recognition of facial expressions; whether they are traditional, based on deep learning, or hybrid; using as input the complete facial data provided by the new HMD devices that offer cameras and/or sensors for face tracking.
VLOG PROJECT IN ENHANCING STUDENTS’ SPEAKING ACHIEVEMENT

The advancement of technology has provided students with numerous opportunities to explore various media that can assist them in acquiring English as a target language. This study aims to examine the progress of students' speaking skills after being taught using Vlog as a teaching medium at SMK Muhammadiyah Pagaralam. The participants in this study were tenth-grade students from SMK Muhammadiyah Pagaralam. A quasi-experimental design was employed for this research. The instruments utilized in this study included an oral test administered before and after the treatment. The data analysis results demonstrated that the students exhibited improved speaking skills after being taught using vlogs as a teaching medium. In conclusion, vlogs proved to be an effective medium for enhancing students' speaking achievements at SMK Muhammadiyah Pagaralam.
OBSTACLES ON THE EFFECTIVE USE OF SOCIAL NETWORKING TOOLS FOR TEACHERS’ PROFESSIONAL DEVELOPMENT AND THE TRAINING NEEDS TO DEAL WITH THEM

Social networking /WEB 2.0 is the technology to support connecting people in various ways. The arise of WEB 2.0 allowed users to enhance their actions when accessing the internet not only for searching information but above all to interact, collaborate, and share content. For the specific showcase of school teachers, WEB 2.0 is providing new opportunities to build and gain professional development by assisting them to remain current on skills and issues important for a professional role. Aim of the presented work, it to build on our previous research on which specific tools are considered as the most useful for teachers’ professional development and which are the perceptions of teachers on them, in order to identify the obstacles and drawbacks to their effective utilization, leading to the proposition of a core training program tailored to the teachers’ needs.&lt;p&gt; &lt;/p&gt;&lt;p&gt;&lt;strong&gt; Article visualizations:&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;&lt;img src="/-counters-/soc/0032/a.php" alt="Hit counter" /&gt;&lt;/p&gt;
Data Visualization

Abstract This chapter provides best practices for visualizing data and discusses common types of data visualizations and their respective applications in people analytics contexts. Types of data visualizations include tables, heatmaps, scatterplots, line graphs, slopegraphs, bar charts, combination charts, waterfall charts, waffle charts, Sankey diagrams, and pie charts.
Introduction to SQL

Abstract This chapter covers the basics of SQL and how to implement SQL statements within the R environment. Concepts and examples span SQL clauses, aggregate functions, joins, subqueries, virtual tables, window functions, and common table expressions (CTEs).
Study of Different Methods to Design and Animate Realistic Objects for Virtual Environments on Modern HMDs

Head-mounted displays (HMDs) are making virtual environments increasingly viable and real. As of the year 2021, some of the latest HMDs manufactured have incorporated cameras and/or sensors for the recognition and tracking of hands and facial expressions. These new devices include HTC-Vive-Focus-3 manufactured by HTC, HP-Reverb-G2-Omnicept-Edition manufactured by HP, Meta-Quest-Pro, manufactured by Meta, and Pico-4-Pro manufactured by Pico. A human's facial expressions convey emotional and non-verbal information. Transferring these expressions to build more realistic designs is a long-standing problem in computer animation. Recently, the development of facial reconstructions (2D and 3D) has achieved high performance, adjusting to being treatable in real time. There are different types of models for design and animation, more human and realistic models, unrealistic cartoon character models, and non-human models with different facial structures. Regardless of the design, there must be guarantees of a smooth transition between expressions so that the facial animation does not look choppy. This work aims to carry out a study of the main models for the design and animation of objects, which can reflect and support various types of human facial expressions obtained from the complete facial data provided by HMDs that incorporate cameras and/or sensors for face recognition and tracking.
Beyond Car Human-Machine Interface (HMI): Mapping Six Intelligent Modes into Future Cockpit Scenarios

As an effective means of transportation, automobiles are always considered a necessity in daily life. With the development of electronic devices, information technology is widely engaged in the cockpit human-machine interface (HMI) design. Reflecting on the literature and user studies, this paper narrates a project-based learning (PBL) practice, including six novel contexts, personas, and user experience (UX) design solutions for car HMI design in future cockpit scenarios. The results demonstrate the intelligent modes in a human-centered design (HCD) process.
Exploring the Effect of Visual-Based Subliminal Persuasion in Public Speeches Using Explainable AI Techniques

When it comes to persuading other people, non-verbal cues play an important role in order to be successful. Mostly, people use these non-verbal cues subconsciously and, from the perspective of the persuadee, are not aware of the subliminal impact of them. To raise awareness of subliminal persuasion, we analyzed videos of different political public speeches. We used the labels of three annotators to train three subjective neural networks capable of predicting their degree of perceived persuasiveness based on the images as input only. We then created visualizations of the predictions for each network/annotator to draw conclusions about what the annotators have most likely focused on. For that, we employed layer-wise relevance propagation (LRP) that highlights the most relevant image sections for each prediction. Our results show that techniques like LRP can help uncover existing subliminal bias.
Leveraging Living Trust Networks for Socially-Aware Recommendations

Social contexts play critical roles when people provide and receive recommendations in the real world. However, existing recommender mechanisms, such as collaborative filtering, model social connections based on the similarity of users’ interests, without fully considering their social ties at different strengths. Such mechanisms may fail to provide recommendations that fit human needs, ignoring important social relations such as trust and giving rise to so-called “filter bubbles” problems. In this paper, we propose a network-based model to represent multi-faceted relations of actors in local communities, which we call Living Trust Networks (LTNs), and discuss methods to create and manage LTNs based on different types of sensor data including location and proximity information. We also discuss a social recommendation model that can treat LTNs and “user-item interactions” in an integrated manner based on graph neural networks (GNNs). Finally, we present a study of the use of proximity-based LTNs to support people to obtain useful information in a university campus, and discuss the implications of our approach on the design of effective socially-aware recommendation environments based on LTNs.
Evaluation of Proficiency Test Preparation Course Program at the Language Laboratory of FKIP-UGN

This study uses the Kirkpatrick evaluation model to evaluate the implementation of the Proficiency Test Preparation Course Program at the UGN FKIP Language Laboratory. This research is qualitative and quantitative descriptive research, with the type of research used evaluative research. The subjects of this study were 30 students who attended language training from various study programs at Universitas Graha Nusantara. The instrument used is a questionnaire with a Likert scale, a formal test through pre-test and post-test. Data analysis was carried out by drafting, classification, processing, interpretation and conclusion. The results show that the Proficiency Test Preparation Course Program, run at the Language Laboratory of FKIP UGN, can be continued because it helps non-English Department students develop foreign language competence. The results of this evaluation can be used as material for consideration in determining steps that can be taken to improve the implementation of the Proficiency Test Preparation Course Program so that the results of this program can be achieved optimally.
Antecedents of Instapoetry: Considering the Commercial Short Form Aphorism Before and Beyond the Social Media Sphere1

Instapoetry is a form of short-form poetry that has gained immense popularity in the past decade, and has until now been particularly associated with digital culture. We argue that the success of this form owes much to publishers recognizing the growing cultural obsession with self-empowerment and personal trauma healing, and meeting this demand with mass-produced commercial products. The major Instapoets should, therefore, be separated from the mass of social media poetry, and instead be considered as professional writers producing content for this self-care publishing industry. Instapoetry’s lack of metrical control or linguistic complexity can be attributed to consumer preferences for short-form commercial aphorisms that can appeal to a wide audience. We suggest that broader consideration should be given to previous iterations of commercial short-form aphorisms, such as those found in postcards, greetings cards and novelty items like motivational posters, to better understand the cultural significance of Instapoetry.
The Effect of Flash Cards Media on Maharah Kalam Students of MAN 2 Model Medan

The purpose of this study was to determine the effect of the use of flash cards on the speaking skill of the students of MAN 2 Model Medan. This research method uses quantitative research with experimental research types. The population of this study were students of class XI MAN 2 Medan Model with a total of 391 students, the research sample consisted of two groups, namely the experiment class (a class that was given learning using flash cards media) and the control class (a class that was not given treatment), each class consisted of 36 students. The technique of taking samples using random sampling. Methods of data analysis using validity test, reliability test, normality test, homogeneity test, and hypothesis testing. The results of the t-test analysis obtained t count (25.684) &gt; t table (1.667) with a significance of 0.05, it can be said that H0 is rejected, or it can be concluded that H1 is accepted. Thus, students who are given learning using flash cards media effect increasing their speaking skills in Arabic lessons.
Modal analysis of composite plates: Digital image correlation method application

Composite materials and structures are widely used and applied in many industries owing to their advantages, such as satisfactory stiffness-to-mass ratio and corrosion resistance. However, during their operating life, responsible parts subject to complex loads may change and their properties might deteriorate. To ensure structural integrity it is necessary to monitor and regularly check the performance of composite structures. This paper investigates the change of frequency characteristics of two rectangular composite (carbon-epoxy) plates after inflicting structural damage. Following the necessary preparation of the structure's upper surfaces by white-and-black stochastic pattern, the responses (free vibratory movement) of structures to momentary excitation were recorded by an optical, contactless 3D digital image correlation (DIC) system that contains a set of ultrafast cameras. In order to determine the natural frequencies of the plates, the recorded time-domain responses were post-processed, i.e. converted to the frequency domain by fast Fourier transform (FFT). The reduction in values of natural frequencies is observed on the damaged structures. The performed experiments demonstrate the applicability of the DIC method in the structural health monitoring of composite parts.
Socioeconomic Status And Motivation Effect on Students' English Speaking Skill

The research aimed at finding out whether or not (1) there was a significant effect between socioeconomic status on students’ speaking skill, and (2) there was a significant effect between motivation on students’ speaking skill at second semester of English Department Universitas Muhammadiyah Makassar. The research method was Descriptive Quantitative Research. The data collected through questionnaires (to obtained students’ socioeconomic status and motivation) and lecturer's document (to obtained students’ speaking score). From the population of 61 students in Academic Year 2021/2022, the researcher chose 30 students as sample by using random sampling techniques. The data analyzed by using Multiple Liniear Regression Analysis in SPSS. The result of data analysis, it found 1) based on T-test, the results of socioeconomic status on students’ speaking skill were T-test 1.456 &gt; T-table 1.703, indicating there was no significant effect of socioeconomic status on students’ speaking skill, 2) based on T-test, the results of motivation on students’ speaking skill were T-test 4.199 &gt; T-table 1.703 indicating that there was no significant effect of motivation on students’ speaking skill, This research suggested that regardless of socioeconomic status, lecturer keep provide students’ motivation to learn, motivates students about the benefits of having speaking skills, such as getting good careers, transferring knowledge to other people, and travelling abroad.
EXPERT SYSTEMS AND SIMULATION METHODS FOR OPTIMIZING FORMATIVE ACTIVITY IN DENTISTRY

Appears in: EDULEARN23 Proceedings Publication year: 2023Pages: 5511-5516ISBN: 978-84-09-52151-7ISSN: 2340-1117doi: 10.21125/edulearn.2023.1447Conference name: 15th International Conference on Education and New Learning TechnologiesDates: 3-5 July, 2023Location: Palma, Spain
CREATION AND TRANSFER OF KNOWLEDGE AND THE CONTRIBUTION OF HEI TO ECONOMIC DEVELOPMENT

Appears in: EDULEARN23 Proceedings Publication year: 2023Pages: 8525-8530ISBN: 978-84-09-52151-7ISSN: 2340-1117doi: 10.21125/edulearn.2023.2238Conference name: 15th International Conference on Education and New Learning TechnologiesDates: 3-5 July, 2023Location: Palma, Spain
A SYSTEMATIC REVIEW OF VIRTUAL REALITY AND USER EXPERIENCE IN MEDICINE

1 Graduate School of Natural and Applied Sciences, Atilim University (TURKEY)2 Computer Engineering Department, Atilim University (TURKEY)3 Software Engineering Department, Atilim University (TURKEY)
English Learners Speaking Performance: Do Self-Perception and Exteroception Influence Their Language Acquisition?

The research aimed to find out how students’ perception and its’ influence toward students’ speaking performance. There were two types of perception recorded, namely self-perception and exteroception. Self-perception is a perception that is formed based on internal factors or from within , while exteroception is a perception that is formed based on external factors or from outside of a person . The research methodology used was quantitative research. The data obtained using two instruments, namely close-ended questionnaire and students’ speaking performance score. The data were analysed through Multiple Linear Regression Analysis . The results of data analysis from 46 samples found that 1) Students’ self-perception (72.09) and exteroception (67.85) categorized as good perception, 2) Simultaneously, self-perception and exteroception has significance influence toward speaking performance (F-test 8.73 &gt; F-table 4.07). 3) Self-perception has significance influence toward speaking performance (T-test 2.347 &gt; T-table 2.014), and Exteroception has no significance influence toward speaking performance (T-test 0.590 &lt; T-table 2.014). Therefore, it can be concluded that students’ self-perception has the higher score than students’ exteroception. Simultaneously, both them were have significance influence toward speaking performance, while partially self-perception was the only variable has significance influence toward speaking performance. The needs and desires of students toward speaking were dominated positively. They need English speaking for their future career, which indirectly becomes motivation in speaking class.
FACTORS AFFECTING PERFORMANCE OF FACULTY MEMBERS IN LEBANESE HIGHER EDUCATION DURING ECONOMIC CRISIS- A STUDY ON PRIVATE HIGHER EDUCATION INSTITUTIONS

FACTORS AFFECTING PERFORMANCE OF FACULTY MEMBERS IN LEBANESE HIGHER EDUCATION DURING ECONOMIC CRISIS- A STUDY ON PRIVATE HIGHER EDUCATION INSTITUTIONS
Perception of “Beautiful” Indonesian Women in The Eka Kurniawan’s Novel “Beauty is a Wound”

Literature is a manifestation of the existence of life in society. Literature as a means of cultural and social representation that describes gender relations. One of the literary criticisms, there is a view called feminism, namely the women's movement caused by the awareness that women have the same rights as men. This article aims to discuss or analyze perceptions or views about the expression 'beautiful' for Indonesian women in the novel "Beauty is a wound" by Eka Kurniawan. The writer concludes that this research is included in the field of literary criticism, therefore in this study the writer uses a qualitative method with descriptive analysis, namely this research is case study research. This study is based on the theory of feminism analysis, in which from time to time the concept of women's beauty changes, from being purely sexual to political. The results of the analysis show that the term "beautiful" in the main character Dewi Ayu is reflected in her attitude, such as her appearance, intelligence, generosity, and courage in the figure of Dewi Ayu in the novel "Beauty is a Wound".
COMPUTATIONAL THINKING: CONTRIBUTIONS TO BEST IN-SERVICE PRACTICES

1 Research Centre on Didactics and Technology in the Education of Trainers (CIDTFF), Department of Education and Psychology, University of Aveiro (PORTUGAL)2 Research Centre on Didactics and Technology in the Education of Trainers (CIDTFF), Aveiro Institute of Accounting and Administration (PORTUGAL)
Tracking of Maneuvering Targets Using a Variable Structure Multiple Model Algorithm

Introduction . In recent years, much attention has been paid to the development of trajectory filtering methods for tracking maneuvering targets. Multi-model (MM) algorithms are widely used for filtering maneuvering targets. Conventional MM algorithms are characterized by a fixed structure. However, highly maneuvering targets require a sufficiently large set of models covering the entire range of possible maneuvers, although an increase in the number of models cannot ensure an increase in the accuracy of tracking. To overcome these problems, multiple model algorithms with a variable structure (VSMM) were proposed. This article proposes two VSMM algorithms for tracking maritime targets performing a coordinated turn at constant speed. These are algorithms with a variable set of models based on adaptive grid and switching grid methods. Aim . To develop an adaptive trajectory tracking algorithm that uses a constant turn model to track maneuvering surface objects. Materials and methods . The resulting algorithm is based on the theory of grid adaptation in multi-model estimation methods and is used to estimate the components of the coordinate and velocity vectors of surface maneuvering targets. The algorithm efficiency was evaluated using computer statistical modeling in the MATLAB environment. Results . The structure of an adaptive VSMM algorithm was described. Simulations were carried out to confirm the algorithm efficiency. In the considered simulation scenarios, the algorithm produces effective estimates of the coordinate vectors and speed of surface maneuvering targets. Conclusion . Adaptive algorithms improve the efficiency of target tracking in comparison with multi-model algorithms with a fixed structure, at the same time as saving computational resources.
KRIMINALITAS DAN MAKROEKONOMI DI ASEAN : APAKAH MEMILIKI HUBUNGAN KAUSALITAS?

This study aims to determine and analyze the causal relationship between crime rates and macroconomic indicators in 5 ASEAN countries. The type of research used is quantitative and descriptive research where the data used are secondary data in the form of panel data from 2012 to 2018. The data analysis used is descriptive and inductive analysis. in the inductive analysis there are several, namely: (1) Unit Root Test (2) Cointegration Test. (3) Granger Causality Test The results of this study indicate that (1). there is no causal relationship between crime and income disparity, (2) Crime does not have a significant short-term causality relationship with poverty. Meanwhile, poverty has a significant long-term causality relationship with crime. (3) There is no causal relationship between crime and unemployment. Based on the results of this study, the authors suggest that the government combines policies of income distribution, poverty, and unemployment, such as implementing progressive taxes and expanding employment, as well as tightening state security.
Efektivitas penerapan model pembelajaran peer teaching terhadap proses pembelajaran PJOK

The results of observations at school, the average value of student learning outcomes is still low and needs to be improved. The purpose of this study was to determine the effectiveness of applying the peer teaching learning model to the PJOK learning process at SMPN 2 Leles Garut. This research uses qualitative and quantitative methods. The population in the study were 30 students. This study used a total sampling technique, because researchers took the entire population. Data analysis in research using PTK, data were analyzed qualitatively, while for quantitative data using the amount of active learning time. The results of the study were in the form of students' understanding tests through a questionnaire. PJOK learning is carried out using the peer teaching learning model which is carried out for 6 meetings in cycle I, to cycle III. Based on the results of the data analysis conducted, it was stated that from the study each cycle experienced a significant increase, in the first cycle 50.30% in the moderate category, in the second cycle 72.37% in the good category, in the second cycle it experienced an increase of 22.07% from the second cycle. I, cycle III 75.55%, with a good category where the increase from cycle II to cycle III was 3.18%. So it can be concluded that the peer teaching learning model has effectiveness in the PJOK learning process.