Reviewerly/exHarmony huggingface dataset:
The Prospects Assessment For The Individual Educational Trajectories Implementation In Moodle

The methodology for the adaptive e-learning resources implementation based on the LMS Moodle electronic environment current versions are presented. An individual educational trajectory formation features, the personalized educational content creation and implementation intended for the theoretical material study, using the LMS Moodle instrumental apparatus are considered. An approach to dividing the material into editions, depending on the students' psychophysiological characteristics, is described. The problems that limit the electronic environment LMS Moodle using the current versions' possibility in the adaptive e-learning resources development are identified and their solution ways are proposed. The methodology implementation technology for determining the dominant perceptual modality of students based on the built-in LMS Moodle instrumental apparatus using test elements united by a logical transitions system is presented. Algorithms for generating personalized learning content for students with different dominant perceptual modality, including for the most complex category in this context, kinetics, are considered. On the practical experience basis, a conclusion was made about the built-in LMS Moodle current versions instrumental apparatus using possibilities and prospects for the individual educational trajectories' formation.
Analog Signal Processing with Discrete Space Metamaterials

This abstract presents a new form of computational metamaterials, which are able to perform arbitrary mathematical operations. The new type of metamaterials are inspired by digital filters and consist of first sampling an optical wave in space and then designing a metamaterial that performs a desired operation on the spatially discretized wave. The design of the metamaterial boils down to the design of a discrete-port network with a given scattering matrix, which can be efficiently accomplished through inverse design algorithms. In this way, we are not limited to specific operations matching the inherent nonlocal responses of metamaterials, as happens with conventional computational metamaterials, and can implement complex mathematical operations.
To Study the Relationship between Job Satisfaction and Organisation Culture at Bikanervala

With the help of the instrument example OCTAPACE, organization culture can be defined. OCTAPACE is all about and what are eight values that may be examined to develop the profile of an organizational culture. This study is limited to employee working in Bikanervala (Bikano). The present study is a descriptive study based on both primary and secondary data and Sample size 108 will include managerial employees and supervisor and workers. Simple random sampling technique will be adopted. Independent t test, correlation analysis (pearson) and regression analysis (simple regression) is applied to test the hypothesis to satisfy the stated objectives. Statistical package for social sciences (SPSS) and Microsoft excel (Ms Excel) is used as tools for data analysis.How to cite this article: Sharma B. To Study the Relationship between Job Satisfaction and Organisation Culture at Bikanervala. J Adv Res Humani Social Sci 2020; 7(4): 20-25.
A Comparitive Study of E-Mail Spam Detection using Various Machine Learning Techniques

Due to the rise in the use of messaging and mailing services, spam detection tasks are of much greater importance than before. In such a set of communications, efficient classification is a comparatively onerous job. For an addressee or any email that the user does not want to have in his inbox, spam can be defined as redundant or trash email. After pre-processing and feature extraction, various machine learning algorithms were applied to a Spam base dataset from the UCI Machine Learning repository in order to classify incoming emails into two categories: spam and non-spam. The outcomes of various algorithms have been compared. This paper used random forest, naive bayes, support vector machine (SVM), logistic regression, and the k nearest (KNN) machine learning algorithm to successfully classify email spam messages. The main goal of this study is to improve the prediction accuracy of spam email filters.
Team Learning Conception In The Distance Education System

Currently, distance education has received additional impetus due to the long time enforced isolation caused by the COVID-19 pandemic and need to provide training sessions for the widest audience of students - from elementary school to bachelors, masters and graduate students in higher education. So, pedagogical community was pushed by the circumstances to look for new effective methods of educational process organizing in distance form. Ensure on the one hand, active students participation in educational process, making it more democratic, and on the other hand, not to lessen supervision over each student. The search, development and new forms implementation in distance education system are also necessary to provide comfortable social environment both for students and teachers. It is also necessary to ensure their active interaction in the studied topics and communication, not only during lectures and practical classes, but also outside school hours (during the teacher’s absence). This opportunity provided to students, or such educational process features will encourages them actively communicate on the lecture course issues, will allow the students creative minds to unfold. One of the forms of distance educational process that allows realizing above mentioned opportunities is team learning.
A Latin-script typeface, based on special education teachers' opinions, to use in literacy education of individuals with autism

The present study is based on an investigation in the areas of psychology, pedagogy, and design. It investigated the reading process and reading education strategies of individuals with autism spectrum disorders (ASD) in order to develop a typographic system to assist pedagogues as they develop educational aids appropriate for a child's reading problems. The study used an interdisciplinary research methodology including a literature study, empirical knowledge, and a survey study. The survey was based on the opinions and experiences of special education teachers. The survey study showed that individuals with autism could have difficulties learning similar letterforms. According to the combined results of special education teachers' common opinions, legibility studies, and literature study, the prototype of a typeface for individuals with autism and learning disabilities was developed. The Accessible Typeface v.1, v.2, v.3, v.4 v.5 family has been developed with the intention to facilitate learning-to-read and to minimize reading mistakes for individuals with autism and learning disabilities. However, before being implemented, this font family should be tested to conclude whether it is beneficial or not to teach an individual who has autism or learning disabilities in reading.
Brazil against COVID-19: Analysis from a Typology of Public Policies to Face the Pandemic with Development

In 2020, the world economy and the Brazilian economy showed a resumption of economic growth. The Brazilian economy had been maintaining a uniform level of growth since 2017, after successive negative growths in the years 2015 and 2016. The impact of COVID-19 on the Brazilian economy has significantly slowed the recovery of the national economy The IMF expects the gross domestic product (GDP) to decline by 9.1% for the year 2020, with a gradual recovery starting in 2021, with a GDP of 3.6%. The Federative Republic of Brazil, through its Federal Constitution, organizes the political-administrative organization of the Brazilian state in three areas for the realization of public policies: union, states, and municipalities. The incidence of cases resulted in several efforts by the Brazilian public administration, particularly in regard to reducing the level of contagion. Considering the incidence of the COVID-19 pandemic, the Brazilian Federated States have developed actions to combat and control the pandemic.
THE EFFECTIVENESS OF SNOWBALL THROWING METHOD IN LEARNING UNDERSTANDING THE MEANING OF TEXT EXPLANATION COMPLEX

This research is motivated by the researcher's curiosity about the successful use of the snowball throwing method in understanding the meaning of complex explanatory text. The purpose of this study is to determine the level of success obtained in the use of the snowball throwing method in understanding the meaning of complex explanatory text. The formulation of the research problems are: 1) is there a difference between before using and after the snowball throwing method? 2) Is the snowball throwing learning method used successfully in learning to understand the meaning of the explanatory text? This study uses a quantitative research approach with data collection techniques, namely tests. Research Results The significance of the results is sig. 0.000 means <0. 05 Based on it can be concluded that there is a significant difference between learning to understand the meaning of complex explanatory text before and after the application of the snowball throwing method to students of class XI MIA 3. This research also shows that the snowball throwing learning method gets an average value. N-Gain in class XI MIA 3 is 57.3% or it can be interpreted as quite effective in learning to understand the meaning of complex explanatory text.
Foreign direct Investment and economic growth: The role of the governance

This paper contributes to the literature on the impact of foreign direct investment on economic growth, conditionally, by the good institutional quality in African countries over the period 1996-2016. For this purpose, our survey uses the Pedroni panel cointegration test to detect the existence of a long-run relationship, fully modified ordinary least square, dynamic ordinary least square, and system GMM to check the endogeneity problem. Indeed, FDI unaccompanied by good governance quality (the fight against corruption, political stability, and sound regulatory quality, rule of law, government effectiveness, voice and accountability) has adverse effects on economic activity. Our results show that the interaction between overall governance indicators and FDI has a positive and statistically significant effect on economic growth in the African countries using the FMOLS, DOLS and S-GMM. Then this paper suggests that African governments aiming at attracting more FDI and thus improving their economic growth need to ameliorate the structure governance added to their business climate.
Meningkatkan Kemampuan Menggosok Gigi Menggunakan Game Menggosok Gigi Pada Siswa Tunagrahita Ringan

This study focused on improving the ability to brush teeth using a tooth brushing game. This study aims to find out how the process of brushing teeth by using a game of brushing teeth for students with light impairment. This research use a form of qualitative approach with this type of class action research is a research method that will be used. The subject of this study is aimed at self-building learning brushing teeth. The data analysis techniques used in this study are collecting data, reducing data and drawing conclusions. Research is carried out as many as two cycle, each cycle begins with planning, action, observation and reflection. The results obtained in the first cycle of each learner experienced an increase but only one student research the KKM limit while in the cycle two learners had increased and obtained the value of reaching the KKM limit. Conclusion of ability to brush teeth experienced a significant increase using the game of brushing teeth.
Book review: teacher learning in the digital age: online professional development in STEM education

Since STEM education is playing an increasingly significant role in K-12 education, STEM teachers are supposed to acquire new skills, assessment approaches and teaching strategies to fit in “deeper...
INTEGRATING MEDIATION IN PRESCHOOL EDUCATION

The report presents the main positions in mediation, the necessary skills of the mediator and the types of mediators in the specifics of preschool education. The possibilities for introducing mediation in the system are presented. Our research on the topic and our attempt to create an innovative project Mediation in kindergarten.
Triggering Failures: Out-of-Distribution Detection by Learning From Local Adversarial Attacks in Semantic Segmentation

In this paper, we tackle the detection of out-of-distribution (OOD) objects in semantic segmentation. By analyzing the literature, we found that current methods are either accurate or fast but not both which limits their usability in real world applications. To get the best of both aspects, we propose to mitigate the common shortcomings by following four design principles: decoupling the OOD detection from the segmentation task, observing the entire segmentation network instead of just its output, generating training data for the OOD detector by leveraging blind spots in the segmentation network and focusing the generated data on localized regions in the image to simulate OOD objects. Our main contribution is a new OOD detection architecture called ObsNet associated with a dedicated training scheme based on Local Adversarial Attacks (LAA). We validate the soundness of our approach across numerous ablation studies. We also show it obtains top performances both in speed and accuracy when compared to ten recent methods of the literature on three different datasets.
Go-Blend behavior and affect

This paper proposes a paradigm shift for affective computing by viewing the affect modeling task as a reinforcement learning process. According to our proposed framework the context (environment) and the actions of an agent define the common representation that interweaves behavior and affect. To realise this framework we build on recent advances in reinforcement learning and use a modified version of the Go-Explore algorithm which has showcased supreme performance in hard exploration tasks. In this initial study, we test our framework in an arcade game by training Go-Explore agents to both play optimally and attempt to mimic human demonstrations of arousal. We vary the degree of importance between optimal play and arousal imitation and create agents that can effectively display a palette of affect and behavioral patterns. Our Go-Explore implementation not only introduces a new paradigm for affect modeling; it empowers believable AI-based game testing by providing agents that can blend and express a multitude of behavioral and affective patterns.
The Innovation and Development of University Management Shared Service Model Based on the Trend of Internet of Things

With the development of Internet of Things (IOT) technology, this technology can fully integrate and share student information resources and work experience in university management. In the process of the construction of educational management informatization in colleges and universities, pay attention to the establishment of a perfect college management shared service model. This management shared service model can play an important role in the school's teaching, scientific research, talent training, social services, and foreign exchanges. Therefore, this article mainly focuses on the analysis and research of the university management work platform based on the IOT. Firstly, it introduces the current social and economic development in my country, the status quo and existing problems of informatization construction, and the trend of market demand changes in the education industry in the next ten years. Secondly, it is proposed to apply the IOT technology to build a modern informatization management model based on the concept of IOT. Use the questionnaire survey method to analyze the evaluation of the current college management shared service model, and design the college management shared service model based on the survey data results to realize the integration and sharing of student information resources and work experience.
Literacy pedagogical strategies: A meaningful experience in a Boyacá´s School (Colombia): A meaningful experience in a Technical School from Boyacá

(analytical): This paper shows the results obtained in a qualitative, educative action research carried out in a rural Technical Educational Institution in Boyaca Department (Colombia), where an intervention was made from pedagogical strategies to strengthen literacy levels, taking into account students´ meaningful learning in their design due to its students´ low level. The theoretical support of the research was literacy as the development of competences in comprehension and written production in context. The analysis unit was a direct observation to 6 participants, their entry and exit tests and 5 pedagogical workshops. With the results obtained in the research, progress is evidenced in most of the evaluated variables; however, some students still presenting difficulties when the final results are assessed. Key words: Meaningful learning, pedagogical strategies, primary school, literacy, rural living (Social Science Unesco Thesaurus).
APLIKASI MONITORING PRESENTASE PERSEMBAHAN JEMAAT GEREJA BATAK KARO PROTESTAN (GBKP) BERBASIS ANDTOID

Monitoring Batak Karo Protestant Chruch  (GBKP) cruch offerings is a routine process of collecting data offerings and measuring progress on program objectives. Monitori change, which focus on processes and outputs. Monitoring provides basic data to answer problems. In monitor this presentation the data collection includes offerings from the dungung to the modern. But the process of distributing presentations is still manual, so it takes time to the distribute to the moderamen. Based on this, an aplication for the persentage distribution of Android-based Protestant Batak Karo Chruch congregation was built.Keywords: Registration, Android, Simulation
Sistem Pendukung Keputusan Mengggunakan Metode Profile Matching Untuk Instrumen Penilaian Kinerja Guru Kelas (Studi Kasus : SD Negeri 17 Padang Laban)

To improve the performance of teachers need to do several ways, one of them by conducting a judgment. This assessment is based on the values ​​of pedagodic, personality, social, and professional aspects. To get the value of these aspects can use decision support system with profile matching method. The method of profile matching is a method of decision support system capable of providing information of alternative values. With these alternative values ​​obtained how the performance of teachers for one tahun.Tujuan Help provide information to the principal about the performance of class teachers for one tahun.Penelitian this using four aspects. These aspects are based on the school side, these aspects are searched by the method of profile matching, then implemented using MySQL based PHP programming. The results of the test of this method is the result of the decision of data processing done obtained by Decision Sangat Baik as much as 42.8%, Baik as much as 42.8% and Cukup as much as 14.4%. Search by method matching profile can provide alternative values can help the principal to provide an assessment of teacher performance.
Educational Robotics In Primary School

The following research investigates the pedagogical conditions for implementing the process of teaching universal learning actions to primary school children during the process of teaching robotics in the context of supplementary education. The article describes the mechanism of teaching universal learning actions to primary school children in the process of teaching them robotics. The authors have defined the stages and devised the algorithm of teaching robotics to primary school children. There have been developed and implemented the diagnostic array of tools for comparative assessment of the level of acquisition of universal learning actions of primary school children both in the context of supplementary education and in their primary school curriculum. Constructing the process of teaching robotics in accordance with the stages and algorithms suggested by the authors allows to increase the effectiveness of teaching universal learning actions to primary school children. The article shows that constructing the teaching and educational process of forming universal learning skills during the process of teaching robotics to primary school students has a positive influence on the acquisition level of their cognitive interest. The students who attend robotics clubs have a higher level of reflective self-assessment of the learning activity. There are statistically significant differences in the achieved level of communicative learning skills among the students who attend robotics clubs and those who do not; the children who attend them have better developed communicative learning actions.
A Learned Stereo Depth System for Robotic Manipulation in Homes.

We present a passive stereo depth system that produces dense and accurate point clouds optimized for human environments, including dark, textureless, thin, reflective and specular surfaces and objects, at 2560x2048 resolution, with 384 disparities, in 30 ms. The system consists of an algorithm combining learned stereo matching with engineered filtering, a training and data-mixing methodology, and a sensor hardware design. Our architecture is 15x faster than approaches that perform similarly on the Middlebury and Flying Things Stereo Benchmarks. To effectively supervise the training of this model, we combine real data labelled using off-the-shelf depth sensors, as well as a number of different rendered, simulated labeled datasets. We demonstrate the efficacy of our system by presenting a large number of qualitative results in the form of depth maps and point-clouds, experiments validating the metric accuracy of our system and comparisons to other sensors on challenging objects and scenes. We also show the competitiveness of our algorithm compared to state-of-the-art learned models using the Middlebury and FlyingThings datasets.
Resilient Uniformity: Applying Resiliency in Masking.

Threshold Implementations are known countermeasures defending against side-channel attacks via the use of masking techniques. While sufficient properties are known to defend against first-order side-channel attacks, it is not known how to achieve higher-order security. This work generalizes the Threshold Implementation notion of uniformity and proves it achieves second-order protection. The notion is applied to create a second-order masking of the Present cipher with a low randomness cost.
Highly Secured Digital Image Watermarking Using LSB and DCT Combined Approach

In the present time, information transmission is becoming increasingly different through digitization. The internet is windily used to sharing multimedia content quickly and accurately from one user to another user. In this process of communication, users can share their private data publicly over the internet. There is still a very useless problem; image protection is not a suitable way to recognize ownership with the image-sharing tools on the Internet. At this time, providing security and authenticity is a major concern between information transmissions. Therefore, the digital watermarking technique gives a better method to prevent illegal access, unlike exploitation and allocation and information about the copyright protection of digitized data.In this research paper, digital image watermarking is completed by applying the combined approach of Least Significant Bit (LSB) and Discrete Cosine Transform (DCT) to evaluate the possibilities of dual watermarking.