Reviewerly/exHarmony huggingface dataset:
Emotion Detection for Live Video Face Expression – Standard Learning Techniques

Facial Emotion detection is taken into consideration very fullsize for Human Computer Interaction and that they play vital position in regular people life.In latest years Convolutional Neural Network (CNNs) has end up very famous amongst researchers for picture primarily based totally analysis, due to the fact CNNs have generated satisfactory results.However, CNNs desires a number of records to train.This trouble has been addressed via way of means of numerous researchers who've educated CNNs with tens of thousands and thousands of pictures, this education understanding also can be utilized in a unique challenge that's called Transfer Learning.We assume the Facial Emotion Recognition version emotion detection to be beneficial in lots of programs including predictive mastering of students, lie detectors, etc.The proposed technique received 100% accuracy in emotion detection and 99.52% accuracy achieved for the proposed metho.
Conducting sentiment analysis, LeiLei and DilinLiu, Cambridge University Press, 2021. 96 pp

The peer review history for this article is available at https://publons.com/publon/10.1111/ijal.12424
La competencia digital de los futuros docentes de formación profesional: usos y actitudes que determinarán sus prácticas de enseñanza

The Teacher Digital Competence of future teachers has been researched frequently, but not in the Vocational Training setting. We present a quantitative study that aims to know the ICT skills, attitudes, frequency, and type of use as future teachers of Vocational Training in Galicia. Data were collected through a questionnaire covered by 93 students of the USC (University of Santiago de Compostela). The future teachers report scarce training. Their technical competence for the use of ICT is sufficient and their attitudes towards ICT are high, this affects the use they make, their technical competence and for learning. These results allow decisions to be made regarding the previous training received by future VET teachers, since increasing the use made by future VET teachers could facilitate the integration of ICTs in their future teaching practices. In conclusion, the greater the use of ICT, the greater the degree of competence for technical management and for its use in the learning process; as well as positive attitudes are related to the highest degree of competence. La competencia digital docente del futuro profesorado se ha investigado con frecuencia, pero no en el ámbito de la formación profesional. Presentamos un estudio cuantitativo que permite conocer la competencia digital, las actitudes, la frecuencia y tipo de usos que hacen los/as futuros docentes de la Formación Profesional en Galicia y que permite relacionar el uso de las TIC (Tecnologías de la Información y la Comunicación) durante su formación con su aplicación en futuras prácticas docentes. En el estudio participaron 93 alumnos/as de la USC (Universidad de Santiago de Compostela). Los datos fueron recogidos a través de un cuestionario. Los/as futuros docentes informan de una escasa formación en TIC. Su competencia técnica para el uso de las TIC es suficiente y sus actitudes hacia las TIC son altas, esto influye en el uso que hacen, su competencia técnica y para el aprendizaje. Estos resultados permiten tomar decisiones con respecto a la formación inicial del profesorado de formación profesional, ya que un aumento y mejora del uso que hacen de las tecnologías podría facilitar la integración de las TIC en sus futuras prácticas docentes. Se concluye que, a mayor uso de las TIC, mayor es el grado de competencia para el manejo técnico y para su uso en los procesos de aprendizaje; así como, las actitudes positivas se relacionan con el mayor grado de competencia.
Applications of Defense-in-Depth and Zero-Trust Cryptographic Products in Emergent Cybersecurity Environments

This chapter proposes feasible solutions to cross-industry cybersecurity threats with emergent complex behaviors. What has emerged is the observable but uncontrolled growth of malicious cybersecurity threats (emergent behavior). What that implies are severe economic and security risks and damage effects to governments and private businesses. Where the emergent behaviors occur are almost anywhere in modern computers, networks, and Internet-of-Things (IoT) devices, including systems that might be perceived to be secure. When cyberattacks might manifest themselves can be through almost continuous daily attacks, directed surges, or swarms of attacks, through hidden infiltrations that could be released at pre-scheduled times, or through protracted attacks that continue to act clandestinely over very long periods of time. How emergent cyberattacks actually manifest themselves can be as immediate noticeable destruction, denial of services, public or private extortion, through unnoticeable long-term infiltration and exportation or theft of money or data, or through the actual capture of computers or networks to act for the interests of attackers. Given the presence of these emergent behaviors and their negative effects, we propose controls through three ecosystem-wide strategies, Defense-in-Depth (DiD), Zero-Trust Architectures (ZTA), and secure cryptographic key provisioning. This novel solution recommends enhancing those strategies with blockchain-assisted logistics management, a Model-Based Systems Engineering (MBSE) approach, supported by the Model-Based Systems Architecture Process (MBSAP). The BlockFrame, Inc., Eco-Secure Provisioning™ (ESP™) Framework, which contains secure cryptographic key provisioning, and the Philos Blockchain/Distributed Ledger™ demonstrate synergistic solutions through indefinitely scalable, cross-industry system-of-systems (SoS) applications using modular, loosely coupled service interfaces, multifactor identification, and applied uniformity. Project managers, designers, and systems engineers seeking ecosystem-wide solutions for logistics control and organization-wide cybersecurity can benefit from these novel SoS architectures.
Research Trend Analysis on School Adaptation of Students from Multicultural Families: Focus on the Publication of Korean Academic Journals from 2009 to 2020

Objectives The purpose of this study is to analyze &amp; suggest the direction for reseach of the multicultural students' school adaptation-related research in line with the trends of changes in Korean society, which is entering into a multicultural society.&#x0D; Methods Among the papers published between 2009 and 2020, 82 papers were selected for analysis through the first to third stages of the collection procedure. Analysis criteria were established by referring to previous studies related to multicultural education. The research tool used is EXCEL, which facilitates descriptive statistical analysis and visualization data creation.&#x0D; Results First, as a result of analyzing the quantitative change trend, the number of research articles increased rapidly from 2009. From 2014, which belongs to the mid-term period, it decreased along with the policy change. It increased again in the late period. Second, as a result of analyzing the research purpose trend, empirical studies such as actual condition analysis, improvement measures and application of theory and programs accounted for a high proportion. Third, as a result of analyzing the research topic trend, it was confirmed that the educational aspect research was insufficient. Fourth, as a result of analyzing the trends of the research subjects, the majority of studies were conducted exclusively on students from multicultural families and the research progress on preschool multicultural children, parents and teachers were at a low level. Fifth, as a result of analyzing the school level, elementary school level research was intensively conducted. Sixth, as a result of analyzing the research method trend, a number of quantitative research methods were confirmed.&#x0D; Conclusions First, although the importance of studies related to school adaptation of students from multicultural families is emphasized, the research in the late period is low and no change is found. Therefore, we would like to suggest the necessity of revitalizing research. Second, research objectives and research topics need to be more diversified than before and research that deals with educational aspects are required. Third, there is a need to set a wide range of research subjects. Fourth, research at the middle and high school level, which is weak compared to the elementary school level, should be expanded. Fifth, a wide range of research should be conducted using research methods evenly.&#x0D;
Current Problems in Developing the Professional — Pedagogical Education System

The paper focuses on the nature and role of professional-pedagogical education and its main feature, biprofessionalism. There are two main models in organizing the training of teachers: (1) according to the type of mono-specialty based on secondary and vocational education (for undergraduate and graduate levels of professional-pedagogical universities and faculties); and (2) according to the additive model (for graduates in various fields receiving additional pedagogical education necessary to work as a teacher in educational organizations of vocational education). The paper aims to analyze the current state of the professional-pedagogical education system in Russia, identify the main problems, and substantiate ways to solve them under the current trends in developing society and the vocational education system. The main research methods are the following: (1) analysis of scientific and pedagogical literature on the history and current state of professional-pedagogical education; and (2) generalization and systematization of pedagogical experience. The research has found the primary problems that hinder developing the professional-pedagogical education system (terminological, organizational, managerial, socio-economic, methodological, etc.).
Neotectonics, geochemical dispersion processes and mineral exploration: linking basement and surface in regions of cover

&amp;lt;p&amp;gt;Detection of mineral system footprints in regions under thick cover is challenging. The difficulties are enhanced in regions with low-relief landscapes that are deeply weathered. This is widely the case in Australia where &amp;gt;75% of the surface and subsurface is characterised by transported cover and/or deeply and intensely weathered profiles.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;In a variety of geological-cover contexts, geochemical dispersion/concentration processes within cover units can be particularly efficient. These processes can produce near surface geochemical anomalies in the landscape, which may be expressions of mineral systems within basement units at depth&amp;amp;#8217;.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Basement structures in Earth&amp;amp;#8217;s crust are a well-recognised conduit for fluid flow, which can result in the formation of a large variety of mineral deposits (e.g., IOCG, hydrothermal Ni, SEDEX, etc). Therefore, identifying basement structures that may be associated with mineral deposit formation has become an important part of exploration protocols and prospectivity assessments.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;The possible link between neotectonics and geochemical dispersion processes should be carefully considered when studying landscape geochemistry in areas with thick overburden.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Surface structures linked to principal basement structures which are intermittently reactivated may maintain a direct geochemical link between the basement and the surface. To efficiently resolve basement-derived geochemical signals, soil or surface landscape units should be selectively sampled in relation to these structures.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;This study discusses how in areas of deep cover, neotectonic and/or reactivation surface landscape features have the highest probability to detect deep basement geochemical signatures at surface. This approach may have a critical impact in mineral exploration under cover in similar landscape contexts around the world, such as regions in Australia, West Africa, India, China and Brazil.&amp;lt;/p&amp;gt;
A Step Forward to Formalize Tailored to Problem Specificity Mathematical Transforms

Linear functional analysis historically founded by Fourier and Legendre played a significant role to provide a unified vision of mathematical transformations between vector spaces. The possibility of extending this approach is explored when basis of vector spaces is built Tailored to the Problem Specificity (TPS) and not from the convenience or effectiveness of mathematical calculations. Standardized mathematical transformations, such as Fourier or polynomial transforms, could be extended toward TPS methods, on a basis, which properly encodes specific knowledge about a problem. Transition between methods is illustrated by comparing what happens in conventional Fourier transform with what happened during the development of Jewett Transform, reported in previous articles. The proper use of computational intelligence tools to perform Jewett Transform allowed complexity algorithm optimization, which encourages the search for a general TPS methodology.
Development of Application Based on Augmented Reality as A Learning of History and Culture in Architecture Case Study Pathok Negoro Mosques Yogyakarta

Pathok Negoro Mosques is an architectural masterpiece. These mosques are part of history in forming Yogyakarta. The existence of the Sultan’s Ngayogyakarta Palace is inseparable from the Pathok Negoro Mosques building. These mosques also have a function as a defensive system of the Islamic kingdom in Yogyakarta. Arguably, the current generation is getting deprived of the intellectual heritage of culture and history. The history and culture of the Pathok Negoro Mosques will be the content of this research. This research aims to develop an interactive application for learning the history and culture of architecture based on augmented reality. Augmented reality applications developed using unity. This research is proposed to be carried out in 2 stages. The first stage is related to the collection of the historical and cultural context of the mosque. The second stage is the development of an AR application for Android mobile devices. The reference data was made into the AR application with several methods, such as plane detection and image tracking. The research managed to develop a mobile augmented reality application in Unity3D 2018.3.14f1 for android devices that consists of the narrative recorded voice of brief history and culture the Pathok Negoro Mosques. The app also shows a well-ordered animation of building structure such as roof, roof insulation, roof structure and column of Pathok Negoro Mosques. Moreover, the research showed a clear step and issue of making an augmented reality app as learning of history and culture of Pathok Negoro Mosques
HUBUNGAN PERAN ORANG TUA TERHADAP PRESTASI SISWA KELAS 5 DI SD AL AZHAR SYIFABUDI PEKANBARU TAHUN 2012

&#x0D; Children in developing all the potential needed the support of the environment, especially from their parents. The role of parents is very high in determining student achievement, in this case the parents who pay attention to their children's education, will always pay attention to the learning needs of their children, so that their children can achieve good performance. This study aims to see there a relationship role of parents on student achievement in grades 5 SD Al Azhar Syifabudi Pekanbaru 2012. The research used a quantitative research design and analytic cross sectional approach. Data were analyzed using univariate and bivariate analysis with chi-square test. The results of the univariate analysis the study was obtained from 63 respondents, 98.4% of parents have a good role and 100% of students with good achievement. To test bivariate hit obtained x2&gt; x2 table (13.4&gt; 3.84), which means that there is a relationship role of parents on student achievement in grade 5 at SD Al Azhar Syifabudi Pekanbaru in 2012&#x0D; &#x0D; Anak-anak dalam mengembangkan semua potensinya membutuhkan dukungan dari lingkungan sekitar, khususnya dari orang tua mereka. Peran orang tua sangat tinggi dalam menentukan prestasi siswa, dalam hal ini orang tua yang memperhatikan pendidikan anak mereka, akan selalu memperhatikan kebutuhan belajar anak-anaknya, sehingga anak-anak mereka dapat meraih prestasi yang baik. Penelitian ini bertujuan untuk melihat adakah hubungan peran orangtua terhadap prestasi belajar siswa di kelas 5 SD Al Azhar Syifabudi Pekanbaru 2012. Jenis penelitian yang digunakan penelitian kuantitatif dengan desain analitik dan pendekatan cross sectional. Data dianalisa dengan menggunakan analisis univariat dan bivariat dengan uji chi-square. Hasil penelitian analisis univariat diperoleh dari 63 responden, 98,4% orangtua memiliki peran yang baik dan 100% siswa dengan prestasi baik. Untuk uji bivariate diperoleh x2 hit &gt; x2 tabel (13,4 &gt; 3,84) yang berarti terdapat hubungan peran orangtua terhadap prestasi siswa kelas 5 di SD Al Azhar Syifabudi Pekanbaru tahun 2012&#x0D;
THE EFFECT OF EDUCATIONAL VIDEOS ABOUT NEWBORN BABY CARE ON THE KNOWLEDGE LEVEL OF POSTPARTUM MOTHERS

&lt;p&gt;&lt;strong&gt;Background: &lt;/strong&gt;The existence of the baby involves the mother's mechanical and emotional skills. Factors that can affect the mother's skills in caring for newborns are the mother's readiness to reduce the risk of the health of the newborn. Educational video is one of Health Education Methods that can be done to increase mother's knowledge in caring for newborns. The purpose of this study was to determine the effect of educational videos about newborn care on the level of knowledge of postpartum mothers.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Methods:&lt;/strong&gt; This study was conducted in Badung, Bali in March to April 2022. The method used in this research is Pre-Experimental Design with one group pre-test and post-test design. Sampling method with purposive sampling technique.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Result:&lt;/strong&gt; The results of data analysis using the Wilcoxon Match Pairs Test statistical test obtained p value = 0.000 &amp;lt; (0.05). Then there is a significant effect between the pre and post averages after being given the Newborn Care Education Video and the z value of 5.448 and the z table with a value of = 1.96 which means that z count is greater than z table which can be concluded that there is an Effect of Educational Videos on Newborn Care on the Knowledge Level of Postpartum Mothers.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Conclusion:&lt;/strong&gt; The conclusion of this study is that giving a video of Newborn Care Education can increase Postpartum Mother Knowledge about Newborn Care.&lt;/p&gt;
Understanding the influence of Teachers’ Beliefs and Professional Dispositions on Technology use in South African Secondary Schools before and during COVID

Those advocating for technology integration within education claim that teachers need to reform their pedagogic practices to make learning more engaging and relevant. While educational technology researchers claim teachers are primarily responsible for these failures, it seems teachers do not embrace technology unquestionably. This paper aims to develop an understanding of how teachers’ beliefs and professional dispositions (PDs) influence technology use within different social and educational contexts. A set of three interviews were conducted at four South African secondary schools with vastly different social contexts, over different periods of time (before and during COVID) with cross-case analyses. Findings show that the provision of technology does not guarantee integration as use varies amongst teachers within technology-rich schools, with teachers who hold more positive Internal Beliefs (IBs) of technology not only focusing less on External Structure (ES) barriers, but also utilising technology in more varied ways, even to enhance and transform their pedagogic practices. Furthermore, teachers’ PDs seem to exist on a continuum and do not appear to be the sole influencer of technology use, with the context alongside the school’s technology policy and related technology structures influencing teachers’ IBs and resulting technology use. In addition, while mandatory use of technology during COVID led to more positive IBs as teachers understood the value of the technology, this only appears to be true if external structures (ESs) supported the learners as well. Moreover, all teachers expressed their belief that technology is no replacement for face-to-face teaching. Finally, the rich data from the interviews underlined the intricacies of factors influencing the use of technology in classrooms, indicating a need for a meta-theory to gain a holistic understanding of technology use by teachers.
Encryption technique based on chaotic neural network space shift and color-theory-induced distortion

Protecting information privacy is likely to promote trust in the digital world and increase its use. This trust may go a long way toward motivating a wider use of networks and the internet, making the vision of the semantic web and Internet of Things a reality. Many encryption techniques that purport to protect information against known attacks are available. However, since the security challenges are ever-growing, devising effective techniques that counter the emerging challenges seems a rational response to these challenges. This paper proffers an encryption technique with a unique computational model that inspires ideas from color theory and chaotic systems. This mix offers a novel computation model with effective operations that (1) highly confuse plaintext and (2) generate key-based enormously complicated codes to hide the resulting ciphertext. Experiments with the prototype implementation showed that the proposed technique is effective (passed rigorous NIST/ENT security tests) and fast.
Efficient and Privacy-Preserving Logistic Regression Scheme based on Leveled Fully Homomorphic Encryption

In the era of big data, data are often outsourced at cloud for storage and computation. As data has become a highly valuable resource, data holder needs retain full privacy and control over it. Privacy-preserving machine learning (PPML) aims at extracting data value while preserving its privacy. Homomorphic encryption (HE), as a privacy-preserving technique, is increasingly used in PPML schemes. However, since bootstrapping is required in Fully Homomorphic Encryption (FHE) after a certain number of homomorphic operations to ensure the correctness of decryption, FHE-based PPML may perform a large number of bootstrappings, which greatly reduces the efficiency. Besides, FHE only supports homomorphic addition and multiplication operations. Most of the existing solutions use Taylor theorem to convert nonlinear function into linear polynomial function with sacrifice of model accuracy. To solve the two problems above, we propose to simulate bootstrapping operation in training phase by a pair of decryption and re-encryption operations, which is further transferred to trusted hardware to avoid information leakage after decryption. With this idea, the performance can be enhanced greatly. In addition, all the calculations of activation function (nonlinear) can be executed in plaintext form directly. In this paper, we propose and implement an efficient and privacy-preserving logistic regression scheme based on Leveled FHE, and deploy the bootstrapping simulation and activation function on Raspberry Pi (a simulated trusted hardware). The scheme achieves practical usability demonstrated on standard UCI datasets.