Reviewerly/exHarmony huggingface dataset:
DOI SYSTEM: A SMART ONLINE PLATFORM FOR SUPPORTING OMAN'S RESEARCH TALENT IN SCHOOL AND UNIVERSITY LEVEL

Research is important in creating a culture in the present, and knowledge is new. Research allows scholars to develop the state of knowledge in the broader public. Research is important because it provides a glimpse into the future, the direction in which disciplines of knowledge are heading, and how well they will develop. Research is important because it allows humanity to better understand and see the universe. Most university students usually work on different projects for their academic requirements. However, rare students might have the ability to publicly share his/her work. Our proposed platform will give the students ability to share full or partial of his/her project content. We believe our platform will provide a great opportunity for students to see each other work. We think it is relevant to have a national database for our student work (school and university) level. This definitely will increase user performance and give a great opportunity for knowledge exchange and sharing experiences. At this project, we proposed to create a DOI website that provides sufficient and reliable support for school and university students. &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp
Journals in a Forest of Norms and Unconsidered Decisions

In the article it is said that in recent conditions with those who have actively participated in the reforms of the education system and science in last decades preserved in the administration, there can be no real progress in principle. The moratorium on publications in the Web of Science and Scopus databases is ineffective as long as such enormous funds are circulating in this sphere. On the whole, the business orientation of education and science, which is primitively understood, but actually carried out in our country, prevents any attempts to rectify the situation. It leads only to increasing administration and standardization. One important negative trend of the present is the onslaught of “predatory” journals. Since scientists can truly work only in freedom, as representatives of other creative activities.
Study of the Quality of the Conditions for the Implementation of Educational Activities by Educational Organizations of General, Secondary Vocational and Additional Education in 2020 and 2021

The article presents the results of the research on an independent assessment of the quality of the conditions for the implementation of educational activities by organizations engaged in educational activities in basic general education programs, educational programs of secondary vocational education, basic vocational training programs, additional general education programs, which was carried out in 2020-2021. The collection and synthesis of data as part of an independent assessment was carried out by order of the Ministry of Education of the Russian Federation on the basis of indicators approved by Order of the Ministry of Education of Russia dated March 13, 2019 No. 114, and in accordance with the Unified Procedure for Calculating Indicators approved by Order of the Ministry of Labor and Social Protection of the Russian Federation dated May 31, 2018 No. 344n.&#x0D; The article compares the integral values of the quality criteria of the conditions for the implementation of educational activities for 2020 and 2021, changes in the values of the criteria for assessing the quality of the conditions for the implementation of educational activities are noted.
A Pattern Optimization for Novel Class in Multi.Class Miner for Stream Data Classification

Stream data classification involves a predicament of new class generation through pattern evaluation. The evaluation process of the pattern raised new ways of data classification. The evolving decoration discrepancies dispensed the session for rivulet data arrangement. Now, the twisted pattern fashions innovative classes for cataloging progression. For this method of regulation, multi-class sapper method is used. A catastrophic spread of new decorating appraisal methods for multiclass mine workers is used nowadays. We cast off the pattern optimization performance using a transmissible algorithm aiming at the group of patterns and their heightened process for instructing multiclass. The enhanced pattern stables the new class while enhancing the successful multiclass miners. For the empirical appraisal, we used health care data such as cancer and some other deride for the evolutionary progression of the pattern optimization process.
PIMA: A Privacy-preserving Identity management system based on an unlinkable MAlleable signature

This paper presents a privacy-preserving identity management system, referred to as Pima. The proposed system is built over a novel unlinkable malleable signature scheme, called UMS. Pima supports pseudonymity, as it is more in line with today’s web service interactions than anonymity. The originality of the approach is manifold. First, Pima satisfies both users’ and providers’ basic security and privacy needs as it provides a user centric approach which permits the users to keep control over their revealed attributes, and the service providers to get attributes certified by an identity provider and associated with different pseudonymous sessions. Second, Pima helps service providers to comply with the data minimization principle required by the E.U. General Data Protection Regulation, through the enforcement of both sanitizable and redactable features. Third, the proposed signature scheme UMS fulfills main security and strong privacy requirements at a constant pairing computation overhead. Fourth, Pima’s concrete construction is proven as secure under the generic group model. Fifth, the implementation results demonstrate high efficiency w.r.t. most closely related work, while considering resource-constrained devices, i.e., Android-10 smartphone.
SizePairs: Achieving Stable and Balanced Temporal Treemaps using Hierarchical Size-based Pairing

We present SizePairs, a new technique to create stable and balanced treemap layouts that visualize values changing over time in hierarchical data. To achieve an overall high-quality result across all time steps in terms of stability and aspect ratio, SizePairs employs a new hierarchical size-based pairing algorithm that recursively pairs two nodes that complement their size changes over time and have similar sizes. SizePairs maximizes the visual quality and stability by optimizing the splitting orientation of each internal node and flipping leaf nodes, if necessary. We also present a comprehensive comparison of SizePairs against the state-of-the-art treemaps developed for visualizing time-dependent data. SizePairs outperforms existing techniques in both visual quality and stability, while being faster than the local moves technique.
Progressive Web Apps (PWAs)—Alternate to Mobile and Web

With the advancement in technology in each counting second new solutions to new problems comes into the picture and PWA are one of them which came as an alternative to the current leading technologies like android and Web, combining features of both the technology and overcoming the shortcoming of both the technologies. Progressive Web Apps are web apps that are built using the Service Workers API which can work offline by intercepting HTTP requests and delivering cached responses. The concept of progress is an approach that takes advantage of the capabilities of the environment instead of having rigid requirements. PWA is built without requiring the installation of a native app and works seamlessly across various platforms. Many Android Web browsers support Service Workers, which is a standard component of the PWA landscape. This paper aims to analyze the current state of support for PWA features in Web Views and how it fits into the overall web experience.
AI-Based Real-Time Surveillance

Automatically describing the content material of an image can be an essential hassle in artificial intelligence that connects PC imagination and prescient and tongue processing, the problem will increase whilst we attempt to apprehend faces, gadgets and try and have a look at facial feelings with it or indifferent phrases whilst we attempt to generate the records we observe whilst we see something or a person. The idea of this venture after the desired amendment can permit one to maintain tune of suspicious or undesirable activities if passed off without continuously tracking them or without looking at the entire collection to be expecting the wrongdoer because it works in real-time. Also, it could be cross-checked if required because it stores the records that are secure from any leakage as its miles are encrypted and password protected.
The Study on the Effect of Career Decision, Social Relatedness &amp; Commitment to a Career Choice among College Students Majoring in Airline Service

The purpose of this research is to study whether career decision and social relatedness(support, modeling, activity, advice) affect career exploration behavior and commitment to a career choice. For this research study, students from aviation service related departments were defined as the research population. Among the questionnaires received from the respondents, it was defined as a valid sample among the data of 322 students. The survey was conducted for 7 days from June 7th, 2022. As a result of statistical analysis, first, it was found that the factors affecting career exploration behavior were activities and advice. Second, it was shown that the factors affecting commitment to a career choice were support, activity, advice and career exploration behavior. In conclusion, this study showed that activities and advice to help college students make career exploration behavior and commitment are very important factors. It also suggests that students are in dire need of extracurricular activities and help from professors and career experts.
Assessment of Teacher Network for Girls Education (TEN-G) Project in Kaduna State, Nigeri

This study assesses impact of the TEN-G program rolled out and implemented by Commonwealth of Learning (COL) and Centre for Girls’ Education (CGE) respectively, aimed at providing greater access to quality education and training through open, distance and technology-enabled learning in reaction to the school disruption caused by the Covid-19 pandemic in Kaduna state , Nigeria. The project has dual objective of training female teachers on Open Educational Resources and bridging learning gaps so as to return all female students back to school after the pandemic. Hence, four programs were carried out, namely; teachers’ training on Open Educational Resources, Interactive Radio Instruction (IRI) and Safe Space Clubs. We employed both quantitative (questionnaire) and qualitative (interviews and FGDs) instruments of data collection for this study. Our analysis revealed that, teachers capacity on the use of technology to access OER has risen from 19% to 100%, over 90% of school girls returned to school after the pandemic; a success which only 12.8% of our respondents feel is not as a result of the IRI. Safe space clubs were found to have bridged learning gap necessitated by COVID-19 pandemic and has improved their learning abilities. It is therefore recommended that; the TEN-G project should be sustained in order to accommodate more schools and more learners across Kaduna state and the entire northern Nigeria.
TODDLER ENGLISH CLUB: Pembelajaran Bahasa Inggris Anak Usia Dini di Kampung Sindang Sari, Bogor

Toddler English Club is a community service program carried out in the context of the academic community's concern for the development of early childhood intelligence. In Education, Early Childhood is a child who is in a golden age with a level of potential development. Ability in language encourages children to be more adaptive, more intellectually, linguistically, socially, and academically. Sindang Sari Village, which is located in Bojongrangkas Village, Ciampea District, Bogor Regency, is the location for the Pakuan University Real Work Lecture. he partner in this service is PAUD Kania which has provided special support in the implementation of the Toddler English Club program with training methods for its students. The Toddler English Club training is carried out very dynamically, this is evidenced by the activeness and responsiveness of the students, this is due to the excavation and disclosure of information from PAUD Facilitator Teachers as well as their involvement in this training..
WORKSHOP PEMBUATAN MEDIA BELAJAR POWERPOINT, MENTIMETER DAN YOUTUBE BAGI GURU SMK WIDYA NUSANTARA BEKASI

This training provides several materials related to efforts to develop interactive media so that the learning provided becomes more communicative, increasing the interest and quality of student learning, including Video Learning Presenter View Recoder Ms. Power Point, Use of Mentimeter Interactive Media, Uploading Learning Media on Youtube. The purpose of abdimas activities is to introduce several types of learning media that can be an additional reference of knowledge in SMK Widya Nusantara Bekasi in the implementation of teaching and learning activities that are still carried out online. This is a real step from US to improve the ability of teachers to create interactive learning media independently.
E-OMR ASSESSMENT USING IMAGEPROCESSING

E-OMR system which supports paper-based examination and makes it easier, more comfortable and speeds up the whole process while keeping every single positive attribute of it but also reducing the number of negative aspects. The way of conducting testing the knowledge of a person using Multiple Choice Questions (MCQ) has been increased gradually. In Educational industries like schools and colleges it is more common now-a-days having tests using multiple choice questions. Even in conducting interviews it is used. Current day scenario is either using OMR technology to correct the test or manually. In real-time it is quite difficult to have OMR at all the time and manually it is highly taking the time to correct and it may give you the error. We address this issue, in our proposed system we are using digital image processing technique to correct the answer using python. We are using Open Source Computer Vision Library (Open CV) to process and correct the answer. Python is the best language to implement this concept with the available Open CV library. In this system we also implement in the django environment.
A description of Tima Sounds

As is the case with many languages in the Sudan, the Tima language in the Nuba Mountains is considered to be highly endangered (Dimmendaal and Mugaddam 2005). This is because the language is no longer spoken by children, especially those who grow up in Khartoum state. Another reason for the endangerment is the multilingualism in the Tima area. Tima young people tend to use Arabic and English more often in their daily interaction outside the home domain. Dimmendaal &amp; Voeltz (2007: 626) noted that “the Tima language is seriously endangered as a result of the encroaching role of Sudanese Arabic”. The present paper is a part of a documentation project has been conducted to stabilize the endangered situation of Tima. This documentation project is aiming at providing a description of the sound system, as well as the morphological structures of this language. In addition to this, a trilingual dictionary including Tima, Arabic, and English is also provided. Since the investigation of sounds represent the initial concern of a language description, this paper deals with the description of the sound system of Tima.
Onboarding for Immersive VR: Accessibility, user experience and guidelines

Virtual Reality (VR) is a rapidly evolving form of technology that constructs an entirely digital world, within which we can interact with three-dimensional content. This technology has the potential to enable us to rethink learning and teaching, creating new, fully immersive worlds tailored to our individual preferences. User experience of VR as facilitated by onboarding processes has been studied with regards to wider issues of accessibility such as cybersickness, perceptual differences, sensory sensitivity and neurodiversity. However, the focus has been on the efficacy of interventions rather than onboarding processes and VR user experience more generally. We will focus on supplementing existing research and suggesting guidelines for the design and implementation of onboarding processes, with an emphasis on individual user experience and population heterogeneity. With the rapid growth of VR and immersive learning applications in recent years, as well as the importance of remote learning in a post-COVID environment, personalisable and accessible applications of VR are crucial.
Designing Effective Immersive VR Learning Experiences

How do we design effective immersive VR experiences? Looking Inside: Cells is a set of collaborative immersive virtual reality science learning simulations that were designed by applying best practices for learning experience design, taking advantage of the unique affordances of VR for learning. Simulations were designed with input from teachers and students and cover NGSS-aligned middle school science topics in cell biology, including plant cell, animal cell, and prokaryotic cells and their respective organelles, cell specialization, mitosis, and viral mutation. The interaction design of the simulation implements engagements with the learning materials that support deep learning. The collaboration design allows small groups to work on the simulation together. Emotional design was used to induce emotions that are conducive for learning. Classroom integration features are designed to support teachers’ use of the simulations through lesson plans, teacher professional development, a teacher dashboard, photo taking, and a spectator mode. Ongoing user research provides feedback from teachers and students that is used to refine the design with the goal to enhance learning outcomes.
Diverse Designs Create Liveable Cities: An Inquiry Learning Unit Utilizing VR/XR Platforms to Explore and Create

In their first inquiry unit of 2022, Year 5 students at Knox Prep investigated the big idea Diverse designs create livable cities. A study into how cities are creatively designed to enhance livability and support diverse communities. The students explored the immersive use of virtual reality and augmented reality platforms to help initially explore and then ultimately demonstrate the depth of their understanding of the topic. In the finding out phase of their learning, the students learn the skills of assessing the livability of a city and then research how they might go about improving sustainable and inclusive practices within a city. Case study of Singapore Students explored existing architectural designs and city planning considerations to ensure they develop the concepts of empathy and inclusivity when thinking of the world's diverse communities. Students looked at specific examples of designs that were diverse. The students explored virtual space with the guiding questions - what designs did you notice? What is the impact of these designs on the city? What makes this city appealing to the population? The big idea of this unit is Diverse designs create livable cities and that the concepts are design, creativity, and inclusion. By encouraging the students to use virtual environments we are further aligning the learning experience with one of the unit’s concepts of inclusivity. The virtual environment of Frame VR enables students to demonstrate their understanding on a platform that all can access without the need for high-end VR headsets.
Pretraining binarization encoders for recommendation acceleration

Recommendations based on similarity search are widely used. However, when the number of users and items is large, it may become an efficiency bottleneck. In this paper, we propose a high-precision, modular, and efficient recommendation component: the binarization encoder. We use Siamese neural networks to jointly learn binary codes of users and items. The Siamese networks are composed of two autoencoders, whose encoder and decoder are sharing weights further. Their latent factors are discretized as efficient representations of users and items. In order to improve the learning ability of this model, a comprehensive objective function is proposed, which considers three objectives: improving the reconstruction quality of input vectors, reducing the information redundancy between dimensions, and finetuning the predictions with observed ratings. We use collaborative filtering based on matrix factorization on real-world datasets as basic systems and evaluate the proposed method. The experimental results prove the effectiveness of our method.
Research on data-driven anomaly detection model based on Bi-LSTM

In order to make full use of operation and maintenance records for in-depth mining to support management, improve operation and maintenance work management level and execution efficiency, this paper analyzes and preprocesses operation and maintenance log files by studying artificial intelligence technology. A user behavior expression model is constructed from each dimension and log analysis experiments are carried out. Through the research on LSTM and BiLSTM methods, a data-driven abnormal behavior intelligent analysis method based on Bi-LSTM is proposed. The experimental results show that the Bi-LSTM method in this paper has an accuracy of 86% and strong operability in detecting abnormal operation and maintenance operations, and has good performance in detecting abnormal operation and maintenance operations of users. The command line is used as an analysis of abnormal operation and maintenance behavior of audit data.
Employee Motivation and its Effects on Employee Productivity/ Performance

One of the most important functions of management is to ensure that employee work is more satisfying and to reconcile employee motivation with organizational goals.With the diversity of current jobs, this is a dynamic challenge.What people value and enjoy is influenced by many factors, including the influence of different cultural backgrounds.This research report examines employee motivation and its impact on employee performance.The study examines some common theories of motivation that can be used in an organization to improve employee performance.The study showed that employees have their differences in terms of the concept of motivation.Various forms of theories of motivation in literature have been debated along with their applications and implications.Three questions were examined: What is motivation?What kind of motivation can best be used to increase employee performance?The results of the study show that motivation can increase or decrease employee performance.If the chosen form of motivation meets the needs of the employee, their performance increases.If, on the other hand, the chosen form of motivation does not satisfy the needs of the employee, the benefit decreases.It therefore encourages organizations to understand the motivating need of each employee to improve performance.
TRANSFORMASI LITERASI KEWARGANEGARAAN MAHASISWA PENDIDIKAN GURU SEKOLAH DASAR DALAM PEMBELAJARAN JARAK JAUH

The research aims to identify and analyze the transformation of Citizenship literacy in Elementary School Teacher Education students, in the implementation of distance learning in the era of the Covid-19 pandemic. The research method in this research is descriptive qualitative. The results showed that the Citizenship literacy of Elementary School Teacher Education students in distance learning, is transformed in the form of an understanding of the rights and obligations as Indonesian citizens. Nationality Literacy of Primary School Teacher Education students is quite good, if it is analyzed from the depth of coverage regarding the rights and obligations as citizens. The results also show that the obstacle in the transformation of citizenship literacy is about the shift in learning patterns from distance or online.