Reviewerly/exHarmony huggingface dataset:
A Sociocultural Framework to Analyse M-Learning Options for Early Childhood Development (ECD) Practitioner Training

This article, a contribution to m-learning (mobile learning) research, centres on the motivation for, and development of, a suitable framework to analyse m-learning options for early childhood development (ECD) practitioners. Grounded in a sociocultural learning perspective, the framework was developed as part of a larger study into the feasibility of m-learning for ECD practitioners in the Penreach professional development programme in Mpumalanga Province, South Africa. Analysis of existing frameworks enabled the development of a new, modified framework to suit the Penreach context. Here we unpack the framework and explain its development. The new, modified framework aims to assist researchers, developers, and implementers by prompting consideration of five sociocultural learning features associated with m-learning in ECD, namely: device access, data affordability, authenticity, collaboration, and personalisation.
Usability Evaluation of Food Wastage Mobile Application: A Case of Pakistan

The continuous rise in food scarcity is creating an alarming situation in underdeveloped countries and Pakistan is no exception. According to the Global Hunger Report published in 2020, Pakistan was ranked 88th among 107 countries, with 28.5% of the population under-nourished. To address the situation, food resources need to be more effectively utilized. To reduce food wastage, various efforts have been made to identify the issues associated with the lack of adoption of food wastage mobile application(s). Using purposeful sampling and data from 150 respondents collected from a public sector university and a software house, participants’ experience in using selected food wastage mobile applications were evaluated. In terms of usability parameters, the study proposes improvements in the prototype design.
Occlusion Robust Part-aware Object Classification through Part Attention and Redundant Features Suppression

In recent studies, object classification with deep convolutional neural networks has shown poor generalization with occluded objects due to the large variation of occlusion situations. We propose a part-aware deep learning approach for occlusion robust object classification. To demonstrate the robustness of the method to unseen occlusion, we train our network without occluded object samples in training and test it with diverse occlusion samples. Proposed method shows improved classification performance on CIFAR10, STL10, and vehicles from PASCAL3D+ datasets.
THE SUDDEN SHIFT IN DISTANCE EDUCATION IN PALESTINIAN UNIVERSITIES: TECHNICAL SUPPORT AND PROFESSIONAL QUALIFICATION

This study aimed to identify the types of technical support provided by Palestinian universities to teachers in distance education in the light of the Covid-19 crisis. It examined the possibilities of developing technical support and qualifying teachers that can be provided by the information and communication technology center in there in order to improve the quality of distance education from the teachers' point of view. The researchers used the interview as a tool for the study, and the results obtained were analyzed using the grounded theory in qualitative research. The results showed that the support provided to them was the result of psychological, professional and social motives that affected the phenomenon, and the researchers recommended the need to train teachers on the use of distance education, and the demand for it and the use of applications in education, and the study also recommended that teachers improve their attitudes towards distance education‎.
Data Confidentiality in Cloud Storage. A Survey

In cloud computing security, privacy and data confidentiality plays important role when popularity in terms of cloud computing services is consider. Till now there are various schemes, protocols and architecture for cloud computing privacy and data protection are proposed which are based on data confidentiality, cryptographic solution, cipher text blocks, various transforms, symmetric encryption schemes, attribute-based encryption, trust and reputation, access control, etc., but they are scattered and lacking uniformity without proper security logic. This paper systematically reviews as well as analyze research done in this relevant area. First various shortcomings in cloud computing, architectures, framework and schemes proposed for data confidentiality will be discussed; then existing cryptographic schemes, encryption functions, linear transform, grid storage system, key exposure, secret sharing, AONT (All or Nothing Transform), dispersed storage, trust, block encryption mechanism, attribute-based encryption, access control will be discussed; thirdly propose future direction with research challenges for data confidentiality in cloud computing; finally focus is on concern data confidentiality scheme to overcome the technical deficiency and existing schemes.
Pengaruh Persepsi Siswa tentang Penggunaan Learning Management System terhadap Motivasi Belajar Siswa pada Mata Pelajaran Pemograman Dasar SMKN 2 Padang dalam Masa Pandemi Covid-19

One of the subjects that use learning management system is basic programming. “Based on data obtained from” teachers in the field of basic programming studies, there are still many students who have not completed subjects using learning management systems. The purpose of the study was to find out the influence of students' perceptions about the use of learning management systems on basic programming subjects on students' learning motivation in SMK Negeri 2 Padang “during the Covid-19 pandemic”. “The population in this study is all students of class x rpl odd semester of the academic year” 2020/2021 SMK Negeri 2 Padang consisting of two classes of 66 people. “Sampling in this study was conducted with simple random sampling techniques. The analysis method uses simple linear regression analysis. The results of the study found that the t count was 2,953 and the value (sig = 0.004&lt; 0.05). With df = 36-2 = 34 Obtained a certificate of 1,691,” from the above results can be concluded students' perceptions about the use of learning management system in basic programming subjects affect student learning motivation in SMK Negeri 2 Padang in the Covid-19 Pandemic Period.
Socrates Digital™ System Architecture

This chapter presents the inner workings of the Socrates DigitalTM module. It has most of the logic of a Socrates DigitalTM system and describes how processes and subprocesses interact to create Socratic problem solving. A Socrates DigitalTM system allows the user to examine information, assumptions, and concepts in any order. Next, Socrates DigitalTM guides the user in developing a conclusion by applying concepts, using assumptions, and analyzing information. Afterward, Socrates DigitalTM guides the user in predicting the implications of the conclusion and combining all the reasoning into a viewpoint that addresses the question at hand.
ANALYSIS OF VARIOUS APPROACHES OF ABUSIVE TEXT DETECTION IN ONLINE SOCIAL NETWORKS

Social media is one of the most influential tool for sharing information across different regions among different users .The people sharing their interests in various aspects in online social networking platforms like Facebook, twitter etc. Therefore the usage of hate text steadily increasing. Nowadays it has been reviled unfair behavior of the users in social networking sites. The existence of abusive text on different online social networking platforms and identification of such text is a big challenging task. To understand the complexity of language constructs in different languages is very difficult .Already lot of research work has completed in English language. This paper gives detail analysis of detecting hate text in various languages Hindi, urdu, Arabic, Bengali, Telugu. We incorporated various kinds of ML and DL based algorithms to identify hate text in OSN’s. A review is done related to different classifiers where a comparison made between different models of ML, DL algorithms. Finally finds the accurate method to classify the text is offensive or not by finding the parameters i.e. accuracy and F1score
USING OF INFORMATION AND METHODOLOGICAL PROVISIONS BY STUDENTS OF VOCATIONAL EDUCATION INSTITUTIONS

The purpose of the article is to substantiate the system of information and methodological support for students of vocational education institutions. The authors analyse the ways of training junior bachelors of speciality 121 “Software Engineering”, taking into account the development of information technologies and changes in science, technology, technologies in the legal framework of economics and education.The author found out that the educational process is inadequately provided with educational and methodical materials aimed at the formation of design skills in the field of software development. The content of information activities of junior bachelors on the use of information and methodological support is developed. It consists of the following: development of algorithms that implement the content, and technological components of the content of information and methodological support; development of the code and adjustment of the applied program of information and methodical maintenance; the experimental use of information and methodological support in the educational process; adjusting the information and methodological support based on the results of experimental use; the introduction of information and methodological support in the educational process of the institution of professional higher education; the development of methodological documentation for users of information and methodological support; the development of methodological documentation for a training seminar for potential users of the developed information and methodological support; the design of the results of interdisciplinary design.&#x0D; Keywords: information and methodological support; institutions of professional higher education; professional education; educational process; information and educational environment; software engineering; digital competence; information system.
Round Trip Time of Network Cables: A Comparative Analysis

This experimental research study was conducted to compare the round-trip time of commonly used network cables among Internet Cafés in Estancia, Iloilo. Specifically, it focused on the brand names of network cable and the distance of cable from the access point to remote terminal. This study attempted to determine whether there was no significant difference among cables which differs from their brand names and distances. The research instrument used in gathering the data was the researchers-made survey form which was submitted to the three panels of experts for face validation before the instrument was given to Internet Cafe Owner’s and computer stores in the Municipality of Estancia. The statistical tools used were the frequency counts, percentages, rank, arithmetic mean, and chi-square. The results revealed that there were significant differences in the round-trip time between brands of network cables when tested at long and short distances from access point to remote terminal. It was found out that there was no significant difference in the overall round-trip time between brands of network cables when tested at long, medium, and short distances from access point to remote terminal. This simply showed that Internet Cafés can make use of any brand available in the market because they perform the same. However, among the three brands being tested it was also revealed that the best brand of network cables in terms of round-trip time was the Belden.
Usage of telecommunication technology in perpetration of sexual assault- A study conducted on reported victims in a Tertiary Medical College Hospital OCC

The sexual assaults and its consequences are increasing along with socioeconomic development of the country. Rise of modern communication technology add fuel to the flame. This descriptive cross-sectional study aimed to evaluate the role of communication technology in sexual assaults in Bangladesh. There were 87 victims included in this study. All were female of 6 years to 40 years of age, mean age was 15.67 (± 6.69) year. Most of the victims were below 20 years of age and came from low income families. About 76% mobile used were smart phone. Among them 46% were owned by the victims herself, 26% gifted by the assailants to the victims. Talking through mobile (37%) was the main communication route between the assailants and the victims; followed by direct verbal (31%), mixed verbal and mobile talking (26%) and others (6%). Regarding methods of communication, they only talk in 42% cases and 36% cases used mixed method (talking, SMS and video chatting). The assailant paid all the costs in 62% cases. Mobile phone came as a blessing in communication, but inchoate use makes it a curse to our society. Parents should be cautious about their children's mobile usage (especially smart phone) daily. Government also should make some policy on using mobile technology by the younger citizens.&#x0D; CBMJ 2020 July: Vol. 09 No. 02 P: 03-07
Supplemental Material: Geologic map of southern Panamint Valley, southern Panamint Range and central Slate Range, California, USA

&lt;div&gt;Digital map data files in ArcGIS shapefile format for data collection points, geologic contacts, and geologic unit polygons.&lt;br&gt;&lt;/div&gt;
Dynamic Synchronization Model of a Multi-stage Production Process

In this article, the simplest dynamic synchronization model of a multi-storey production process is formalized and investigated, with which several quality functionals are associated. The method of idempotent analysis was used to study the model. The initial conditions for the production process are set, a production system with a specific number of employees and resources is set, taking into account time. To manage the production system, it is necessary to find a compromise solution. A numerical example is given in which a compromise point is found for the case of three quality functionals.
A comparison of TOEIC and CEFR based CELA as a college English placement test.

This study aims to examine whether CEFR-based CELA can be presented as a placement test for TOEIC. Data collected from 1,142 college freshmen who participated in both tests were analyzed to determine: 1) how hypothetical levels of a CELA score differed from existing TOEIC levels; 2) if there was any significant correlation between test scores and final grades; and 3) how native English professors viewed CELA as a placement test. The analysis revealed that CELA did not perform better a placement test than TOEIC. It did not have a higher correlation with the final grade either. However, the fact that CELA is more aligned with the content and objective of the English course and that most native English professors consider CELA more suitable as a placement test can be seen as positive factors supporting it to replace the existing placement test. Results of this study if curriculum and student levels are different.
NATIONAL DATABASE OF METAL IN COMPARATIVE PERSPECTIVES OF THE UNITED KINGDOM &amp; INDONESIA

The ocean is a source of mega-biodiversity that is supposed to perform optimally for current and future generations. The health of the ocean must be evaluated by measuring heavy metals in sediment because they can be accumulated and stored in long term. This metal can be released and absorbed by an organism, and affect the ecological risk and human health. The purpose of this article is to share viewpoints and those in a comparative study in terms of the metal database of both countries, the UK and Indonesia. The methodology used in this paper is critical review and analysis to compare a success story about compiling metal data into a national database in the United Kingdom (UK). Indonesia already has an open public access database issued by the Ministry of Environment and Forestry. The further step is to strengthen collaboration between research institutes, universities, and government to assign a Standard Operational Procedure (SOP) to collect, analyze and report the data to a national depository. This database will be worthwhile to describe the pollution status in Indonesia and basic data for best practice decisions.
On stability of distributions of WhatsApp traffic characteristics

This paper deals with the main methods of traffic classification and describes the functional scheme of a test bench and the test procedure. It provides the results of verifying the hypothesis about the stability of distributions of WhatsApp traffic characteristics. The delivered test results in this paper emphasize the influence of certain traffic characteristics on the final traffic distribution form. In addition, the comparison of the results obtained for the entire set of tests and the results received for individual test sets reveals the absence of other critical traffic characteristics significantly influencing the distribution form concluding in the need for further research. The paper concludes that the stability pattern of distributions of WhatsApp traffic characteristics can be obtained and visualized after more critical traffic characteristics are revealed and processed in similar tests. This paper stands as a pioneer research in assessing the traffic analysis and implementing the results in applied science.
A Novel Cyber-Security Approach for Nodal Authentication in IoT Using Dual VPN Tunneling

In the history of the planet Earth, the human race is up against an unimaginable counterpart of the present-day civilization that constitutes more associated devices outnumbering the number of people by 2025. It has been projected that of about 25 billion smart things were already been into existent to the estimated 8.1 billion humans. With an advent of Internet in late nineteenth century, the arduous and time-consuming tasks were addressed with negligible time complexity and the strength of the technology is that it enables a seamless access to almost everyone who uses internet in the globe. With Internet, Connection is possible among the people who are sitting at the two different poles of the world. One of the biggest security concern of the deployment and the commercialization of Internet of Things (IoT) is its own underlying data handling policies 178and its related compromises in the deployment architectures. Since anyone can access the sensors to spoof and thereby eaves dropping the entire IoT model is also possible and the site would be at high risk. This chapter attempts to propose a novel data handling architecture and policies so as to ensure the security of the model at its highest level. With the advent of Internet technologies and its applications, the increase in the need of data storage, analysis, and accessing becomes inevitable. The idea is to deploy a layered access approach to allocate resources using double encryption using VPN to ensure data security over traffic. In this chapter, the two different methods of providing security to the data communicated over IoT channels have been compared with respect to their respective average response time to the various traffic levels.
A new self-supervised method for supervised learning

In traditional self-supervised visual feature learning, convolutional neural networks (ConvNets) trained by a proposed pretext task with only unlabeled data encode high-level semantic visual representations for downstream tasks of interest. The proposed pretext tasks are mostly based on images or videos. In this work, starting from the feature layers, we propose a completely new pretext task formulated within ConvNets, and use it to enhance the supervised learning of fully labeled datasets. We discard the channels on feature maps after particular convolutional layers to generate self-supervised labels, and combine them with the original labels for classification. Our objective is to mine richer feature information by making ConvNets understand which channels are missing at the same time of classification. Experiments show that our improvement is effective across multiple models and datasets.
Quantum Cost Vector Analysis

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Security Audit for the D Programming Language

Memory corruption has been, traditionally, the number one cause for software vulnerabilities. As a consequence, programming languages that offer automated, compile time memory safety checks have been developed, such as D and Rust. However, since programming languages are pieces of software, they also may suffer from vulnerabilities that may be exploited to bypass the memory safety checking algorithm. In this paper, we perform a security audit of the D programming language. Our findings uncover security holes in the D safety checking system. We show that it is possible to escape expired stack pointers which can be used to ultimately execute arbitrary code. In addition, we discuss and implement potential fixes to the discovered issues.
TRAINING EDUCATORS AND THE CHALLENGES OF TEACHING IN THE EDUCATION OF YOUTH AND ADULTS IN CONTEMPORARY

The present work aims to develop a study about the existing challenges in the formation of teachers in Youth and Adult Education, as a tool that makes it possible to contribute to the inclusion and socialization of students in this type of teaching.In this sense, the objective is to reflect the importance of the teacher in seeking professional improvement, knowledge and methods, so that it is possible to offer a quality class.The methodological procedure is based on bibliographical research, with specific literature on the subject, such as: Andrade (2004); Spider (1996); Bello (1993); Calado (2008);Fonseca (2002); Gadotti (2010); Gomes (2007); Haddad (2007); Soares (2005).The relevance of the object is a way of having contact with theories that encompass teacher education, the historical context and the profile of students.It must also be noted that the aspects of discrimination and exclusion that the referred group suffers during the schooling process, in which EJA appears as an educational instrument that seeks to meet the demands, needs and particularities of these subjects.Thus, educators must be more respected, recognized and valued compared to other teaching models, and the government must encourage, promote and invest more and more in the qualification of teachers.