Reviewerly/exHarmony huggingface dataset:
Roadmap to Close the Gap Between Undergraduate Education and STEM Employment Across Industry Sectors, Further Studied

Driven by advances in technology and automation, work and jobs are changing rapidly, and the pace of change has supercharged in the aftermath of the COVID-19 pandemic crisis (McKinsey, 2021). As more and more repeatable tasks are relegated to machines, millions of existing jobs may be displaced by machines, while millions of new ones, especially in Science, Technology, Engineering, and Mathematics (STEM), may emerge where people together with machines are the engine to innovation leadership (World Economic Forum, 2020). For new STEM jobs to offset the losses, an adaptable workforce with a new and evolving set of skills is crucial now and in the future. Preparing the workforce for the STEM jobs of the future, however, requires massive upskilling, and close collaboration between industry-academia and government service systems to prepare the workforce for new and future STEM jobs.It is in this context that, in 2019, the International Society of Service Innovation Professionals (ISSIP), with support from the National Science Foundation (NSF), embarked on (what turned out to be) a two-phase research project to inform higher education leaders in the US about industry perspectives on how STEM undergraduate educational institutions might best meet industry’s expected demands for new and future skills. The first phase of the research culminated in “A Proposed Roadmap to Close the Gap Between Undergraduate Education and STEM Employment Across Industry Sectors” (Moghaddam, Kwan, Freund, Russell, 2021) where a framework for “Specialized” and “Foundational” skills required by industry for future entry-level STEM jobs was laid out. During the course of this initial phase a few ensuing research questions emerged: 1) How has the industry perspective on skills demand changed as a result of the COVID-19 crisis? (The crisis hit the US toward the tail end of the first phase.) 2) How are industry recruiters and hiring managers screening STEM graduates for both “specialized” and “foundational skills?” 3) From an industry perspective, which colleges/universities' curricula/pedagogies better align with industry demand? 4) Can a set of desirable curriculum/pedagogy attributes be developed from the findings? And, 5) How are industry recruiters using badging and certification to assess job readiness for college graduates? In this paper, the authors present mainly the findings from the second phase of their research.
Pedagogical use of technologies for children with Specific Educational Learning Needs. A training strategy for teachers

Studies indicate the presence of a wide number of specific needs in children who require support in different educational institutions. In Ecuador, the most common include motor, sensory and intellectual special needs, communication disorders and difficulties, attention deficit hyperactivity disorder, educational compensation and high intellectual capacities. At the same time, advances in technologies applied to education show successful results in the design of several tools and creative technologies, however, their use by teachers is not always tailored to the diversity of students' needs to achieve significant learning. The aim of the study was to expose the limitations of teachers to make an adequate pedagogical use of technologies adjusted to the diversity of students’ needs in classrooms. The research was carried out under a non-experimental quantitative design and a descriptive scope. A web questionnaire was conducted to a non-probabilistic sample of 263 teachers who were studying for an educational master's degree at an Ecuadorian university, they agreed to the publication of the results under informed consent, those between 25 and 40 years old prevailed. The results are part of a broader study on teacher attitudes, professional satisfaction and the use of teaching methodologies in children with specific learning needs. Specifically, for this study purpose, we only took into account the variables associated with: identification of the different educational needs, level of satisfaction with the profession, level of stress with the profession when working with children with Specific Educational Learning Needs; relevance of technologies in learning, knowledge of educational technologies on a whole; pedagogical use of technologies in conditions of classroom diversity and also areas of knowledge were taken into account for the analysis. The descriptive analysis of the data shows that limitations start from the coexistence of several needs in the same classroomwith an average of at least two or three different typologies. It may explain why 82.5% of teachers express high levels of stress with the profession when they have children with Specific Educational Learning Needs in classroom. In spite of this striking data, 75% consider having a high level of satisfaction with the profession. A more favorable data concerns to the significance given by teachers to the use of technologies. Although there is an overall concern about technologies that can be used in classrooms, this is not the case of the knowledge and adequate pedagogical use of those that can be used for the different learning needs and areas of knowledge. This research leads to the presentation of a training structured strategy for teachers with five actions that can contribute to mitigate the problem of adequate use of technologies in diverse educational contexts. The impact of the proposed training process will be assessed in the future.
点群データを用いた耐火被覆工事のロボット化における目標厚さの設定

Since, the fireproof coating work has lacked skilled workers, we have developed a fireproof coating spraying robot. In order to grasp the current situation and set the target value of the spraying thickness, the thickness of the fireproof coating sprayed by the skilled worker was measured using a laser scanner and analyzed. It was found that it is efficient to spray with a thickness obtained by adding twice the standard deviation to the specified thickness. Further, spraying the fireproof coating by the robot at the target value satisfied the quality.
Quality of life and the lifestyle of residents in obstetric nursing in Rio de Janeiro, in the context of the COVID-19 pandemic

The objective of this study is to identify the quality and lifestyle of obstetric nursing residents who worked in the state of Rio de Janeiro during the covid-19 pandemic. This is a quantitative, descriptive and cross-sectional study with 70 residents of obstetrical nursing who worked in the state of Rio de Janeiro from 2020 to 2021. Data collection was performed using the virtual snowball, through validated questionnaires, Fantastic and WHOQOL bref, in electronic version generated in Google forms. Most residents were in their 20s and 30s; 37.71% of the participants were infected by COVID-19. Regarding quality of life, the most comprehensive domain was Social Relations (57.38%), followed by Physical (56.43%), with a predominance of the lifestyle score called “good”. Despite all the context in which they were inserted, residents maintained their quality and lifestyle, thus avoiding weaknesses in the humanized care provided by them.
Playground Facilities, Augmented Reality and K3L Training, As well as Making a Video Profile as an Effort to Develop the Potential of Educational Tourism in Kesiman Village

Kesiman Village is located in the Trawas District of the Mojokerto Regency in East Java. Kesiman Village possesses unrealized natural potential and is currently attempting to become a tourist village. Therefore, the Community Empowerment Program Team at the University of Surabaya (Ubaya) facilitated the idea. The service team provided Kesiman Village with children's play facilities, including a playground with quite comprehensive play equipment, including swings, suspension bridges, slurutans, and mini wall climbing. In addition, as a safety measure, the Ubaya Team provided supporting equipment such as information boards (posters) with Augmented Reality for playing equipment and medical equipment (P3K). The abstract contains. The Ubaya Team held Occupational Safety, Health, and Environment (K3L) training for staff and villagers in order to support the provision of safe and comfortable educational tours. The Ubaya Team provided separate bins for organic and non-organic waste as well as plastic bottles in addition to playground equipment. With the conclusion of this program, Kesiman Village is expanding and advancing, thereby increasing the villagers' standard of living.
Training on the Implementation of EYD Rules Version V in Writing Scientific Papers for Teachers of Shohwatul Is'ad Islamic Boarding School Pangkep

The training on the application of the latest version of the Indonesian Language Spelling Standard (EYD V) in writing scientific papers for teachers of Pondok Pesantren Shohwatul Is’ad Pangkep aims to improve their ability to write good and correct scientific papers in accordance with the latest version of EYD. The training was conducted through lectures, discussions, and writing exercises. The results of the training showed an improvement in understanding and application of the latest version of EYD in writing scientific papers. The teachers of Pondok Pesantren Shohwatul Is’ad Pangkep were able to write scientific papers better and correctly, and met the latest version of EYD. The conclusion of this training is the importance of applying the latest version of EYD in writing scientific papers for better understanding and universal recognition.
Linking Sustainability and Spirituality: The University with a Soul

ABSTRACT: Higher education institutions were intended to nurture the creative potential of individuals and assist in the development of civilization. After 1945, the number of modern universities expanded, but their original purpose changed. Universities have become more business-oriented institutions. The Fourth Industrial Revolution (4IR) has changed almost every area of human activity at an unpredictable pace, challenging old paradigms and frameworks. Society scaled back education to meet market demands, and people lost their moral and intellectual dispositions. The general focus is on developing a workforce, inventive spirit, and high-tech machinery based on innovation and technology, resulting in weak ethical standards and a dangerous lack of trust in the community. Educators need to explore new and creative approaches to educational innovation to improve future learning. The need is for an education with a soul. Educators must cultivate the dual consciousness that humanizes technology through bold visions of moderation. They should help students develop a higher sense of purpose. Knowledge must be viewed from a new perspective. Knowledge must be wholesome or holistic, inclusive, sustainable and equitable in the sense that everyone has access to this special knowledge and can develop a sense of mercy, compassion and benevolence.
Detecting Code Quality Issues in Pre-written Templates of Programming Tasks in Online Courses

In this work, we developed an algorithm for detecting code quality issues in the templates of online programming tasks, validated it, and conducted an empirical study on the dataset of student solutions. The algorithm consists of analyzing recurring unfixed issues in solutions of different students, matching them with the code of the template, and then filtering the results. Our manual validation on a subset of tasks demonstrated a precision of 80.8% and a recall of 73.3%. We used the algorithm on 415 Java tasks from the JetBrains Academy platform and discovered that as much as 14.7% of tasks have at least one issue in their template, thus making it harder for students to learn good code quality practices. We describe our results in detail, provide several motivating examples and specific cases, and share the feedback of the developers of the platform, who fixed 51 issues based on the output of our approach.
BLOCKCHAIN-BASED ZERO KNOWLEDGE PROOF MODEL FOR SECURE DATA SHARING SCHEME IN A DISTRIBUTED VEHICULAR NETWORKS

The possibility of implementing advanced applications, such as improved driving safety, has increased with the rapid development of vehicular telematics, and existing vehicular services have been enriched through data sharing and analysis between vehicles. This research uses smart contracts and consortium blockchain zero knowledge proof to secure data sharing and storage in vehicular networks. The results indicate that, for message sizes (m), both data_ experiments _2 and 1 produce ciphertext of the same size 157 bits, with the exception of 'gnfuv-temp-exp1-55d487b85b-5g2xh,' which generates ciphertext of 156 bits with the lowest decryption time of 26,865ms and a small decrease in encryption time between 28,620ms and 28,162ms. the proposed model validation shows that the model performed better than the Advanced encryption standard in terms of ciphertext size, encryption time and decryption time in comparison and it satisfies the good and robust blockchain-based zero knowledge proof model for secure data sharing and storage for distributed VANET. The scheme achieves high levels of security while operating with reasonable efficiency, reliability and availability according to numerical results.
Dual-axis solar tracking system with LDR sensors

In recent times, the usage of photovoltaic (PV) cells is the various energy generation strategies that take in sun energy and convert it into electric energy. The solar movements from east to west in the course of the day and its radiation angle adjustments relative to the motion of earth in various seasons. So, the output electricity of PV panels changes as well. The output strength of PV panels increases with the aid of being positioned in a role perpendicular to the perspective of the solar&apos;s rays. This paper aims to layout and put into effect a dual-axis solar tracker to increase the output power of the PV panel. This device has excessive performance and adjusts the PV panel primarily based on sun radiation through transferring simultaneously on axes. An analog controller is used for its manage device. DAST manipulate gadget is a closed-loop device that makes use of Wheatstone bridge circuit feature in conjunction with mild-based resistors. A small DAST turned into designed and constructed to validate the proposed device, the overall performance of which changed into demonstrated. Based totally on the experiments, I-V and P-V specifications have been obtained. Finally, it turned into found that the output energy of the PV panel the use of solar tracker became higher than that of the constant panel.
Simulation Architecture

This chapter describes the simulation architecture used for the conversation simulation. First, a new incremental processing programming framework retico is introduced that is able to model time-sensitive interactions like turn-taking and the repairing dialogue caused by misunderstandings due to packet loss. Then, the datasets that are used to model, train, and evaluate the simulation, as well as quality models, are described. With the underlying data, the simulation architecture used for the conversation simulation is described in its incremental parts. The simulation is initially constructed without a turn-taking model to act as a baseline. Also, the conversations produced by the baseline simulation are evaluated semantically on the dialogue act layer, as well as on the interaction level, by analyzing the conversational interactivity parameters. Finally, the performance of the system architecture is briefly discussed.
Improvement of education economic management and implementation of state information systems

Education economic is one of the dynamically developing and least methodologically established sections of native economic thought. The purpose of this article is to conduct a critical analysis of current mechanisms, problems and trends in the implementation of state information systems (SIS) in national education. The author pays special attention to the role of SIS in the formation and improvement of state educational policy, which is of particular importance in the context of turning of educational sovereignty to the politics. At the same time, the author emphasizes that in the context of the modern information-oriented society, the relevance of state information systems capable of ensuring effective economic management is becoming more and more important. The article offers a detailed analysis of the economic, legal and management frameworks for the functioning of information systems in the education sector on the basis of statutes in place. The concept of a state information system is studied and its main elements and functions are discussed. In addition, the article shows the differences between analog and digital methods of state policy, emphasizing the advantages of the latter. In conclusion basic principles of implementation and operation of state information systems in various economic sectors, including education, are proposed. Guided by these principles, the government will be able to maximize the effectiveness of the use of such systems in state policy, especially in the context of education, ensuring more accurate planning, analysis and decision-making based on relevant data and information.
Similarity-Based Memory Enhanced Joint Entity and Relation Extraction

Document-level joint entity and relation extraction is a challenging information extraction problem that requires a unified approach where a single neural network performs four sub-tasks: mention detection, coreference resolution, entity classification, and relation extraction. Existing methods often utilize a sequential multi-task learning approach, in which the arbitral decomposition causes the current task to depend only on the previous one, missing the possible existence of the more complex relationships between them. In this paper, we present a multi-task learning framework with bidirectional memory-like dependency between tasks to address those drawbacks and perform the joint problem more accurately. Our empirical studies show that the proposed approach outperforms the existing methods and achieves state-of-the-art results on the BioCreative V CDR corpus.
Design and Implementation of Intelligent Voice Answer System for Virtual Volunteer Teachers

As the earliest technology developed in the field of artificial intelligence, intelligent speech has greatly improved its speech recognition accuracy with the maturity of deep learning algorithms in recent years, driving a wave of industrial boom. Being able to communicate with machines naturally is something that human beings have been looking forward to, and it is also the development direction of today's science and technology. Through the introduction of intelligent voice technology, the IFLYTEK artificial intelligence open platform is embedded in the system, with remote mountain village education as the background, for students in remote areas, designed a voice Q&A library that meets the teaching scenarios of support teachers, realized the intelligent voice answer system of virtual support teachers on the web page and mobile application side, and promoted the development of education in remote mountain villages.
Proposals for reforming the civil law protection of artificial intelligence as a single object of intellectual property

The purpose of this study is to propose reforms of the legal protection of artificial intelligence (AI) in Russia, in particular, in relation to the protection of AI as a single object of intellectual property. The study suggests that modernized patent protection is the best way to protect AI rights and results, as patent protection can provide more comprehensive and stronger protection of AI technology rights. The methodology of the work included an analysis of the existing legal and regulatory framework for the protection of AI in Russia and the gaps identification in this context. The author proposes several measures to change the law, including the introduction of patent protection for all AI, the working repository creation versions of AI, and the patent protection term reduction to prevent monopolization. The analysis carried out showed that the existing legal framework for the protection of AI in Russia is inadequate and needs to be reassessed. The current AI protection regime should be expanded to include patent protection, which could encourage investment in AI research and development. Creating a repository of working versions of AI can improve the efficiency of research and development, while solving the “black box” problem inherent in AI. In addition, shortening the patent protection term can prevent monopolization and ensure that AI benefits society as a whole. The theoretical and practical study significance lies in the fact that it proposes changes to the existing legal framework for the protection of AI as an object of intellectual property. The study presents the author’s editions of the following concepts: patent protection of AI, depository of working versions of AI, reduction of the term of patent protection. These proposals can help solve the legal problems associated with the legal protection of AI as an object of intellectual property, and provide adequate protection of rights, promoting innovation and balancing the interests of society as a whole.
Prospects of preparing future teachers for intercultural interaction in the accelerated learning conditions

Introduction. This article focuses on development prospects of preparing future teachers for intercultural interaction in conditions of accelerated learning. The aim of the study is to identify the core development prospects for preparing future teachers for intercultural interaction in conditions of accelerated learning. Materials and Methods. The study followed a systematic approach, the implementation of which made it possible to comprehensively consider a specific precedent, identify its components, and determine the significance of each component that ensures the integrity of the precedent under consideration. The authors used analysis of scholarly literature and research results as the main research method. Results. The theoretical analysis of the scholarly literature allowed the authors to arrive at the following research results. Firstly, the authors substantiated the role of two research methods that are supposed to form the basis of comparative analysis (the method of precedents and the method of expert assessments). Secondly, the authors established conceptual foundations for designing a model of accelerated learning in the process of teacher preparation, based on the equal status of cultures, which is based on the dialogue of cultures. The authors emphasize the importance of studying emerging practices in each region, considered as possible precedents. So, as an example, the experience of the Pedagogical Institute in Ludwigsburg, which has developed practices for preparing teachers for intercultural interaction, is proposed (examples of disciplines, types of teaching internships that are actively used in the process of teacher education are provided). Conclusions. The authors have proposed and clarified the prospects for the development of teachers’ preparation for intercultural interaction in the context of accelerated learning. They include the implementation of new methods and designing a model of accelerated learning within the process of teacher education. The results obtained can become the basis for further study of the problem of preparing highly qualified educators in the conditions of accelerated learning. Materials and results of this research can be used to develop programs aimed at preparing future teachers for intercultural interaction in multicultural regions.