Reviewerly/exHarmony huggingface dataset:
Context-Driven Multigranularity Blockchain: A Comprehensive Framework for Secure Data Management

Effective access control and revocation mechanisms are paramount in the ever-evolving landscape of information security. Traditional models often fall short in addressing the complexities of modern systems, necessitating the integration of context-aware decision-making and multi-granularity attributes. In this manuscript, we propose a novel access control framework leveraging the strengths of Attribute-Based Access Control (ABAC) and Attribute-Based Encryption (ABE) and blockchain technologies. The decentralized and immutable nature of blockchain further bolsters the trustworthiness of access control decisions. Our method introduces context-awareness and multi-granularity attributes into the decision-making process, enhancing adaptability and responsiveness. Through extensive experiments and comparisons with existing approaches, our results demonstrate the superior performance of our proposed method. This work not only contributes to the theoretical foundations of access control but also provides a practical solution that outperforms current state-of-the-art methods, addressing the dynamic security challenges of contemporary information systems.
Secure Data Management with Blockchain-Enabled Attribute-Based Access Control

The security of computerized systems depends on mechanisms for controlling access. For the enrichment and reinforcement of such systems, a combination of attribute-based access control and blockchain technologies may be deployed. On the other hand, attribute-based encryption may be used to enable secure data management and safeguard access policies. In this research, we have presented innovative blockchain-enabled attribute-based access control. Our architecture is the first to integrate different aspects to accomplish many security aspects as well as give partial and total revocation at the same time. The experimental findings and analysis, done utilizing the blockchain of the Ethereum network, proved the superior performance of the suggested method compared to prior research works.
Study on the Definition of the Duty of Care in the Tort Liability of Platform Operators

With the continuous development of Chinas online economy, online platforms have emerged and continued to grow. In order to protect the new industry, reduce certain legal risks, and protect the interests of consumers, Chinese Civil Code and E-Commerce Law have introduced Safe Harbor and the Red Flags Rule for the platform operators tort liability. This paper analyzes the comparative jurisprudence of cases from China and the United States, synthesizes many cases, and proposes more specific standards for the determination of knew or should have known. The existing system in China has been interpreted and modified in terms of jurisprudence, so as to make the introduction of its rules more concrete and operable. The paper also draws experience from the foreign system and solves problems based on the Chinese national conditions. From the perspective of the social law school, it studies the living method of western theories in China. Starting from Chinas actual situation, it puts forward new suggestions for Chinas legal research and legal practice, and provides a more perfect legal supporting system for the development of the platform economy, a new industry.
Real Time Attendance Entry Using Face Detection and Recognition

The human face is the feature that most clearly identifies a person. The face recognition system can be developed using facial traits as a biometric. The most difficult task is frequently keeping track of attendance. While taking attendance traditionally, teachers call the pupils forward and accurately note whether they are there or not. Yet, these conventional methods require a lot of time and effort. The Open CV-based facial recognition approach has been put out in this work. An input image is captured by a camera followed by which the chosen algorithm of Local Binary Pattern Histogram undergoes a testing phase to perform face detection followed by face identification and thus performing attendance logging in real time meeting many real time applications.
Distance and Angle Formation Scheme for Collision Avoidance of Differential-drive Mobile Robots

This paper proposes combining displacement-based and distance-based approaches to design a strategy for regulation control with collision avoidance for two differential-drive mobile robots. For the attractive control law, the displacement-based method is used. By employing a coordinates change, the front point of the robot is considered to avoid singularities in the control strategy. For the repulsive control law, the displacement-based technique is considered. In this sense, the distance and angle formation dynamics between robots are determined by applying the same coordinates change. Based on those mentioned above, the control strategy consists of two parts: the former, with negative feedback, which is capable to drive the robots to their desired position, while the latter, with positive feedback, which allows to create an unstable focus that produces a counterclockwise angular movement and makes that the robots move away from each other, avoiding collisions between them. Experimental results show the effectiveness of the proposed control law.
Critical thinking as an information security factor in the modern world

Access to information in today’s world is unprecedentedly easy thanks to the Internet and social media. However, this also creates information overload and the threat of disinformation. Critical thinking is becoming a key skill for sifting reliable information from fakes and manipulations, which makes this topic relevant. The research aims to determine the role of critical thinking in ensuring the information security of the population in the modern world. The study used the methods of analysis, systematisation, synthesis, and generalisation. The study confirmed that critical thinking is an important factor in the field of information security of the population, and also examined the main aspects of critical thinking and its components, including analysis of information sources, fact-checking, contextual understanding, bias research, formulation of critical questions and self-assessment. The study also thoroughly analyses the key aspects of critical thinking skills and considers the concept of Team-Based Learning (TBL), which is an active approach to education aimed at stimulating students’ critical thinking and engaging them in an active learning process. The results of the study highlight the peculiarities and importance of developing critical thinking skills in the Ukrainian population, especially in the context of the ongoing war with Russia, as the war manifests itself not only on the military front but also in the information space, and therefore the development of critical thinking becomes an important element in protecting national interests and information security. The results of the study can be used by researchers to develop specific recommendations and strategies to increase the level of critical thinking among the population and improve information security.
Penerapan Metode Rapid Application Development Dalam Pengembangan Aplikasi Persediaan Material Panel Listrik Berbasis Web

PT Indomitra Global is a company engaged in electrical contracting services and provides various types of electrical panels needed by clients. Electrical panels require many important materials, for example mcb, sockets, cables, and many other important components. The material inventory system carried out at PT Indomitra Global still uses a manual method in the material inventory system. This process has several obstacles, namely not having a centralized database that makes material inventory data vulnerable to loss and there are often differences in the suitability of the amount of material in the warehouse with the amount in Microsoft Excel, because data management is still not easy enough and due to human error or input errors. On the basis of this problem, a web-based material inventory application was made using the Rapid Application Development (RAD) method. The material inventory system produced in this study is able to handle material data management which previously was still not easy enough to do, such as searching for data, managing incoming and outgoing material transaction data and making it easier to generate incoming and outgoing material reports based on time periods
Instance-based Lossless Summarization of Knowledge Graph with Optimized Triples and Corrections (IBA-OTC)

Knowledge graph (KG) summarization facilitates efficient information retrieval for exploring complex structural data. For fast information retrieval, it requires processing on redundant data. However, it necessitates the completion of information in a summary graph. It also saves computational time during data retrieval, storage space, in-memory visualization, and preserving structure after summarization. State-of-the-art approaches summarize a given <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">KG</i> by preserving its structure at the cost of information loss. Additionally, the approaches not preserving the underlying structure, compromise the summarization ratio by focusing only on the compression of specific regions. In this way, these approaches either miss preserving the original facts or the wrong prediction of inferred information. To solve these problems, we present a novel framework for generating a lossless summary by preserving the structure through super signatures and their corresponding corrections. The proposed approach summarizes only the naturally overlapped instances while maintaining its information and preserving the underlying Resource Description Framework <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">RDF</i> graph. The resultant summary is composed of triples with positive, negative, and star corrections that are optimized by the smart calling of two novel functions namely <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">merge</i> and <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">disperse</i> . To evaluate the effectiveness of our proposed approach, we perform experiments on nine publicly available real-world knowledge graphs and obtain a better summarization ratio than state-of-the-art approaches by a margin of 10% to 30% with achieving its completeness, correctness, and compactness. In this way, the retrieval of common events and groups by queries is accelerated in the resultant graph.
Education Technology in Schools

Education technology (ed-tech) is globally transforming the way in which school education is being envisaged. With the advent of globalisation and the infiltration of technology and communications, a fast-growing concept of education technology has gained momentum in academic pursuits, whether in school or higher education or for skill-based learning or preparation for competitive exams. It needs to be noted that one of the key players who would need to adapt to this changing environment is the teachers, who primarily form the link between the curriculum and content and the students. Thus, this paper is trying to understand how the teacher is involved in this construction of new-age teaching-learning processes and how their work and interactions with students are faced with changes due to the advent of ed-tech.
2 Review on role of semantic technologies in various domains

Semantic web technologies have the ability to organize and link the data over the web in a consistent and coherent way, and therefore it is used in many different fields of research. Problems of various domains can be resolved by using semantic web technologies. Here we discuss various domains in which semantic web technologies play a vital role and also have a look at a few domains which lead to the growth of semantic web technologies.
Documentation of science and technology heritage: a collaboration case between the Federal University of Pará and the Evandro Chagas Institute Museum

It is nearly impossible to consider the management of cultural spaces without contemplating the potential implementation of informational benefits. The feasibility study and implementation of Tainacan is a solution adopted in the museum field by the Brazilian Institute of Museums, and using it allows the interoperability of museum information throughout the national cultural system. The objective is to report the adversities and institutional solutions experienced in order to present museological documentation solutions for scientific collections within the scope of the heritage of science and technology. The methodology used to achieve the objective was the implementation of the extension project Organization and Management of Museological Documentation of the collections present in the Museum of the Instituto Evandro Chagas. This creates a laboratory of museological documental practices based on research to support the organization and representation of information of the Evandro Chagas Institute's museological collection, also allowing semantic conceptual modeling according to international standards for digital collections. This university extension action provides a unique and essential professional experience for students and opportunities for the dissemination of the profession and the Museology Course at the Universidade Federal do Pará through the work carried out. KEYWORDS: Museum Documentation; University Extension; Heritage of Science and Technology
CROWDBEES: DIGITAL TALENT MANAGEMENT PLATFORM FOR ACHIEVING GRADUATE ATTRIBUTES IN HIGHER EDUCATION INSTITUTIONS

As is known globally that higher education institutions have and store a variety of potential talents from various parties; from lecturers, students, staff, to alumni. The potential of these talents can be optimized if the parties within them can be connected to each other in collaboration to work and create new innovations. Currently we are facing the digital era, people of the world are increasingly encouraged to be closer to the latest information and news as long as they are connected to the internet. There is a combination of technology and accurate information, it will be very helpful in finding and solving a need. This study uses a systematic literature review approach and bibliometric analysis of published research to describe issues related to digital talent management, extracting data from Scopus as a reliable index benchmark. From this data extraction it is divided into 3 clusters of the Creative Product Analysis Matrix (CPAM), namely: Novelty, Resolution, Elaboration and Synthesis. From these 3 clusters, the results of a product called Crowdbees can be seen as a platform that can manage creative talent within higher education institutions with the output being the achievement of Good Organization Governance (GOG) and Graduate Attributes (GA) applied at a university to its graduates.
Efficacy of Woven EndoBridge (WEB) Devices for Intracranial Aneurysms (2453)

Saturday, April 17April 13, 2021Free AccessEfficacy of Woven EndoBridge (WEB) Devices for Intracranial Aneurysms (2453)Sameer Ansari, Cynthia Zevallos, Mudassir Farooqui, Darko Quispe-Orozco, Alan Mendez-Ruiz, Andres Dajles, Samir Abdelkarim, Sudeepta Dandapat, and Santiago Ortega GutierrezAuthors Info & AffiliationsApril 13, 2021 issue96 (15_supplement)https://doi.org/10.1212/WNL.96.15_supplement.2453 Letters to the Editor
Teaching Practices University Innovations in the Pandemic Context from a Socio-technical Approach

This research refers to the environment of the course "Redesigning the Digital University" whose objective is to provide university teachers with elements to identify the main transformations in the framework of online learning and teaching in emergency conditions, COVID-19. From this framework, a problematization of educational principles and teaching practices is proposed, facilitating inputs to implement redesign processes of teaching and evaluation in digital environments. The research group integrates a Professional Academic Learning Community (PALC) where it is possible to register, analyze, and share about the processes of the redesign in university education. The objective of this research is to identify the possible innovations in the organizational aspects, the learning process, educational communication, and/or instructional design implemented by teachers of the University of the Republic (Uy), considering that the pandemic constituted despite all intrinsic drawbacks, a window of opportunity. The methodology used is ethnography for the study of virtual environments. The scenario is the course where the experiences, practices, activities, proposed wikis as well as work developed by the course participants are observed. In the work some theoretical conceptualizations are made, then the course is described, some methodological aspects are explained and the data analyzed from a sociotechnical approach are presented. The exercise of the teaching role in the university environment constitutes a field of study that, when mediated by technology, transforms it into a network actor that is integrated with machines, positioning the traditional classroom in another place. Undoubtedly, this research opens up future possibilities for work in diverse educational contexts.
Advancing breast cancer subtyping: optimizing immunohistochemical staining classification with insights from real-world Taiwanese data.

Gene expression signatures provide valuable information to guide postoperative treatment in breast cancer (BC) patients. However, genetic tests are prohibitively expensive for the majority of BC patients. Immunohistochemical staining (IHC) subtype classification system has been widely used for treatment guideline and is affordable to most BC patients. We aimed to revise immunohistochemical staining (IHC) subtyping to better match gene expression-based Prediction Analysis of Microarray 50 (PAM50) subtyping. Real world data of 372 BC patients were recruited in the Tri-Service General Hospital between Jan 2019 and Dec 2021. Clinical pathological information, blood, twelve pathological tissue slide samples, and fresh surgical tumor specimens were collected to examine IHC and PAM50. Current IHC subtyping (cIHC) tends to misclassify PAM50-based luminal A (lum A) to luminal B (lum B) by 35.81%, PAM50-lum B to PAM50-lum A by 9.09%, PAM50-Her2-enriched to lum B by 61.11%, PAM50-based Her2-enriched to lum B by 61.11%, and PAM50-based basal-like to lum B by 33.33%. We used random forest to identify estrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor receptor 2 (Her2), and Ki-67 status as the best indicators for revised IHC subtyping (rIHC4) and revised the classification rules by stratified analysis and prediction efficacy. rIHC4 increased the concordance rate for PAM50 subtypes from 68.3% to 74.7%. Both sensitivity and precision increased in most rIHC4 subtypes. Sensitivity increased from 33.3% to 87.4% in the Her2-enriched subtype; precision increased more evidently in the basal-like and lum B subtypes, from 71.4% to 83.3% and 57% to 65.1%, respectively. Our rIHC4 subtyping improved consistency with the PAM50 subtype, which could improve clinical management of BC patients without increasing medical expense.
The Role of Social Innovation in Promoting Sustainable Development at Al-Balqa Applied University

This research aimed to identify the impact of social innovation in its dimensions (increasing social capabilities, community need, changes in social relations) on sustainable development in its dimensions (environmental, economic, social, and technological). It also aimed to identify the level of social innovation at Al-Balqa Applied University and the level of sustainable development at the university. The study uses the descriptive analytical approach, with the questionnaire as the study tool.The study sample, which was drawn from the study population in a simple random way, reached (150) faculty members at Al-Balqa Applied University.The results showed that the levels of social innovation and sustainable development at Al-Balqa Applied University were average. The results also showed a statistically significant effect at a significant level (α ≤ 0.05) for social innovation in terms of its dimensions (increasing social capabilities, societal need, changes in social relations) on sustainable development in terms of its dimensions (environmental, economic, social, and technological) at Al-Balqa Applied University. The research recommended preparing and conducting courses, seminars, and workshops on an ongoing and periodic basis for employees, especially with regard to developments in social innovation.
Real-Time Detection of Low-Textured Objects Based on Deep Learning

In this paper, a custom Single Shot Multi-box Detector (SSD) [1] is proposed for object detection on difficult scenes. The fruit 360 dataset [2], with low-textured images of different fruits and vegetables, is used as a training and validation data set. The purpose of this research is to implement the detector on mobile devices for mixed and augmented reality experiences, so a lighter weight SSD [1] model was designed while retaining its performance. The custom model is 4 times faster than the original SSD [1] model and the tests showed that it is even more accurate on the designated data set. The model is implemented in Python using Tensorflow and will soon be available on GitHub for public use.
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N-2 Technique A Quality Control term; a Japanese method of inspection in which the first and the last piece in a lot are inspected for the acceptance or rejection of the lot; the entire lot is accepted, if two pieces are found meeting the prescribed standards.
The Influence of Miyang Tradition on Children's Learning Motivation in Coastal Areas

The research was conducted in the coastal area of Tuban Regency with the aim of analysing the influence of Miyang culture on the learning motivation of fishermen's children in coastal Tuban, knowing the factors that can affect children's learning motivation, and knowing the influence of Rumah Baca on the learning motivation of fishermen's children in Karangsari coastal Tuban. The Miyang culture that exists in three coastal areas in Tuban Regency causes an influence on the different levels of learning motivation. This research uses literature, observation and interviews with fishermen's children in the coastal areas of Tuban. About 10 informants were interviewed and the data collection process was conducted over two weeks. It shows that coastal children have different levels of learning motivation, the east and west coastal areas tend to have low learning motivation, but in the central area, children are more likely to have quite good learning motivation. Influencing factors are the environment and family support, many children have gone to Miyang to earn money. With the presence of Rumah Baca Pesisir Cerdas, one of the reading houses in Karangsari Tuban, it has an influence on students' learning motivation. Rumah Baca Pesisir Cerdas increases learning motivation with the results of data analysis of the number of students who actively participate in activities, and children dare to have high ideals and enthusiasm for school.