Reviewerly/exHarmony huggingface dataset:
Seed extraction using superpixel-based SLIC for interactive image segmentation

For complex images, interactive image segmentation can achieve better segmentation performance than other approaches. However, many classical interactive segmentation methods are sensitive to the locations and number of seed pixels. We introduce a seed extraction method to address this issue. First, we propose a robust seed measure to select and mark the seed pixels that cover the whole image. We use the center pixel of each superpixel as a seed. Then, each center pixel is labeled by our seed measure. Second, we propose a relabeling method for addressing isolated seeds. The extracted seeds can be used to locate the initial object area and can serve as the inputs of other interactive segmentation methods to reduce their dependence on user interaction. Extensive experiments on the Berkeley, GrabCut, and MSRA1000 datasets demonstrate the effectiveness of our seed extraction method.
Design of Online Teaching Management System for Higher Vocational Colleges

Aiming at the problem that the existing online teaching system takes up more server resources, an online teaching management system for higher vocational colleges is designed. The hardware part designs and manages the controller components, debugs the controller port, and constructs the connecting circuit structure. In the software part, the online teaching process is standardized, the management class library is established, the management function database structure is developed, and the online teaching management system is finally designed. After setting up the test environment of the teaching management system, we prepared the teaching management system based on B/S, a web-based teaching management system and a designed teaching management system to participate in the test.
Semantic Similarity Analysis on Knowledge Based and Prediction Based Models

The similarity between two synsets or concepts is a numeral measure of the degree to which the two objects are alike or not and the similarity measures say the degree of closeness between two synsets or concepts. The similarity or dissimilarity represented by the term proximity. Proximity measures are defined to have values in the interval [0, 1]. Term Similarity, Sentence similarity and Document similarity are the areas of text similarity. Term similarity measures used to measure the similarity between individual tokens and words, Sentence similarity is the similarity between two or more sentences and Document similarity used to measure the similarity between two or more corpora. This paper is the study between Knowledge based, Distribution based and prediction based semantic models and shows how knowledge based methods capturing information and prediction based methods preserving semantic information.
General Conceptual Model

The use of the present tense to refer to past events may depend on two conceptual scenarios. First, the speaker may be mentally displaced to the past. Second, the speaker may pretend that the past events are currently accessible in the form of a representation. This 'representation' scenario is generally the most economic conceptual explanation for the use of the present tense to refer past events. Examples are discussed to illustrate the argument: passages from the novels of Alexandre Dumas and from Thomas Hughes' Tom Brown's schooldays; narratives accompanying security camera footage; a narrative by a character in an episode of Seinfeld; and passages from Thucydides. In all these cases the use of the present tense to refer to past events can be made sense of in terms of a conceptual representation scenario, where the difference lies in the exact nature of the representation. The more concrete the representation, the stronger the tendency for the speaker to use the present tense to designate the described events.
A Blockchain Based Decentralized Authentication System for Management of IoT Traffic

Blockchain technology has been related to the Internet of Things for a long time. Many obstacles stand in the way of widespread adoption of IoT applications. Security dangers and data privacy remain the top concerns, according to many studies and research. These issues are well-known, and solutions are available in the IT sector. Standard IT Security solutions, on the other hand, cannot be applied to IoT for a variety of reasons, ranging from device kinds to sheer device quantities. Unfortunately, security is typically overlooked in the IoT area, as it is in any other business, and most resources are given to application development and device hardware.This research technique featured decentralised blockchain-based authentication as well as an enhanced traffic management architecture. The benefits of blockchain security may be used to create secure virtual zones where objects can identify and trust one another, thanks to our technique. We may use our method in a wide range of IoT applications without requiring any specific hardware. Compared to centralised networks, our decentralised networks are much more well-organized. In terms of how it connects with other systems, each node in the network acts as an autonomous decision maker. Additionally, a secured layered architecture is proposed where the distributed directory is a convention of reproduced, shared and synced digital data dispersed throughout the whole blockchain network so that all network members would have a version of the directory themselves. It also ensures secure data storage for the device setup, which includes data from physical sensors.
USE OF CONTACT TRACING APPS TO PROMOTE TOURISM UNDER COVID-19

The tourism industry has been in crisis since the explosion of the COVID-19 pandemic, and prospects for recovery remain few.Countries are showing small signs that tourists are being embraced again, with limitations being a common trend.The reason is the fear that tourists may bring COVID-19 to the area.To reduce the risk of infection and to accommodate tourists, it is necessary to show that the tourists are not infected.Several measures must be taken to avoid the dangers brought by COVID-19.Governments have developed various contact tracing applications.Indeed, information technology has proven to be especially useful.With the participation of many people, contact tracing applications will be effective in stopping infectious diseases, which in turn will help revitalize the tourism industry.This paper discusses the ideal form of contact tracing applications.The paper must have an abstract.
Real-world applications and challenges of blockchain

Blockchain is the newest technology in the realm of internet of things, social media, and cloud computing. Blockchain technology has progressed from an immutable record of cryptocurrency transactions to a programmable interactive environment for developing distributed, dependable apps. The rapid growth of blockchain, as well as its widely accepted uses, has established it as a force to be reckoned with. However, blockchain's use is not restricted to bitcoin or cryptocurrencies. This study expands on the blockchain's stipulations beyond bitcoin. Based on a literature analysis, this paper also provides insights on blockchain technology ideas, evolution, processes, and difficulties. The difficulties or obstacles in using blockchain technology in real-world applications were highlighted in this study. The main issue that has to be solved is the secure deployment of blockchain technology on small size applications. The suggested consensus method would be beneficial for securing blockchain deployment on small-scale applications or projects.
Designing the mathematics educational process in the context of education metadisciplinarity

The article is devoted to one of the current issues – the problem of educational process design. Among the Russian educational space innovations, a special place belongs to the metadisciplinary direction, new for domestic pedagogy. Comprehension of the metadisciplinarity category both in the theoretical aspect and applied from the position of the modern view becomes especially important. To some extent, the complexity of the problem is determined by the ambiguous translation of the prefix “meta.” Recently, there have been many studies devoted to metadisciplinarity. The analysis of scientific works on this problem showed no single point of view on this issue. The axiomatic approach is proposed as one of the options for building an educational strategy in the metadisciplinary field. This study aims to show the possibility of using the latter in designing the mathematics educational process as part of implementing the metadisciplinary direction of the educational standards.
A Diagrammatic Notation for Visualizing Epistemic Entities and Relations

This paper presents a diagrammatic notation for visualizing epistemic entities and relations. The notation was created during the Visualizing Worldviews project funded by the University of Toronto’s Jackman Humanities Institute and has been further developed by the scholars participating in the university’s Research Opportunity Program. Since any systematic diagrammatic notation should be based on a solid ontology of the respective domain, we first outline the current state of the scientonomic ontology. We then proceed to providing diagrammatic tools for visualizing the epistemic entities and relations of this ontology. These basic diagramming techniques allow us to construct diagrams of various types for both synchronic and diachronic visualizations. The paper concludes by highlighting some future research directions. As the notation presented here is de facto accepted and used in scientonomy, the paper suggests no modifications.
Innovative Approaches to the Educational Processes in Higher School in the Context of Digital Transformation

The COVID-19 pandemic has accelerated a transition of enterprises to a digital business environment, restructuring business processes using innovative opportunities. Higher educational institutions in a short time transferred educational processes to an online format using distance learning technologies (DLT) in their work. Today it has become obvious that such a format presupposes not so much a change in the way the participants interact, but the development of new methods for implementing processes using modern technologies of interaction, control and communication of students. The paper provides an overview of the results of a survey of students in connection with their experience in gaining knowledge using digital educational platforms. The survey involved 57 second-year students studying in the field of management. The data obtained allow asserting that a consequence of the change in the format of the educational process was the deterioration of the education quality. Among the main reasons are outdated teaching methods that do not correspond to innovative learning processes, lack of training for participants (both students and teachers), insufficient infrastructure of universities and financial difficulties, personal characteristics of the teachers, peculiarities of intragroup interaction, lack of understanding of the status of a specialist trained in online format and a number of other factors. The results of the survey are recommended to be taken into account by universities when developing innovative educational methods for the implementation of processes using DLT.
FRED: Fall Risk Evaluation Database Based on Electronic Health Record Data

This paper presents a four-part database, FRED, for fall risk evaluation based on electronic health record data from MIMIC-III. Part 1 compromises demographic data and admission IDs. Part 2 presents information on Morse Fall Scale intervals and fall risk labels (high, low, increasing or decreasing fall risk). Part 3 shows corresponding physician notes. Part 4 contains administered medication. The database is open-source and available on PhysioNet.
Centralised Control Over Decentralised Structures: AML and CTF Regulation of Blockchains and Distributed Ledgers

Proponents of bitcoin have long asserted transnational decentralised structures cannot be regulated by centralised state-based actors. The recent legislative activities of dominant financial jurisdictions, premised on the standards articulated by the Financial Action Task Force, negates this assertion. Regulators have chosen to impose old rules on new business structures, ensuring the dominance of traditional financial surveillance to meet AML and CTF compliance. With recognition that governments can regulate distributed ledger technology, and that analogous behaviour in the cryptocurrency space will be treated similarly to already regulated activities, the discussion needs to shift to the efficacy of using centralised methods in decentralised spaces. There is no disagreement as to the importance of stopping money laundering, the financing of terrorism, or the proliferation of weapons; the question is rather if these goals can be achieved with a new balance between the competing interests of privacy and surveillance, while facilitating the nascent promises of new technologies.
Enhancing Learning Retention with Document Summarization Using NMF and ACO

Retaining learning is a desirable value for the learned. The traditional approach to learning retention is to read, understand and summarise. This explains the reason why vital points in voluminous book are highlighted for the purpose of retention. This study developed an unsupervised extractive summarization algorithm using Non-negative Matrix Factorisation and Ant-Colony Optimization Techniques for electronic text summarization. The developed system is an improvement over the existing NMF and LSA in the sense that LSA and NMF do not adequately address the noise issue that features in semantic document representation thereby leading to poor selection of meaningful sentence that represent the document summary. While NMF was used for factorising the initial Document-Term matrix generated from the document, ACO was used to remove the remnant of noise from the DTM. The improved algorithm is applied on a literature text material which reduces the voluminous material into handy summary by extraction. The algorithm was evaluated using compression ratio, retention ratio and was found to be adequate. Keywords: Text Summarization, Non-Negative Matrix Factorisation, Ant-Colony Optimization
The State’s access to data and internet intermediary response – an assessment of India’s attempt to reallocate the legal framework to ensure national security

Safeguarding national security requires ensuring cyber security of a nation. While India has a wider law framework to ensure national security as against wrongs committed in real world, it is yet to match this framework to suit to the regulatory framework essential to address concerns raised due to the abuse of cyber technology. Though Indian laws including substantive legal provisions empowers the State to regulate acts affecting national as well as cyber security, its procedural rules suffers from being outdated and thereby irrelevant in addressing the concerns specific to cyber space. Ensuring national security requires access to data, both personal as well as non-personal data. While recent legal developments have been focusing on extending wider protection to privacy including data privacy, the State agencies strive to access data, which at times are crucial to the enforcement of laws in general and to ensure national security in specific. Jurisdictional issues further complicates the matter. As a result, the law enforcement agencies expect proactive coordination from internet intermediary in facilitating access to data, e-surveillance, decryption, internet traffic data monitoring, etc. Intermediaries on the other hand are also legally mandated to ensure data privacy, freedom of speech and other rights of internet users. This often has led to the conflicting concerns requiring new legal response. This paper will overview the existing laws as well as assess the changes Indian law is currently undergoing in these regard.
“Gold Course” in Higher Vocational Colleges Construction Standards: Connotation, Principles, Paths and Evaluation

Based on “gold course” construction in higher vocational colleges, the paper has been to clarify the “gold course” connotation: suitability of the course objectives, advantage of the course content, effectiveness of the teaching process, and achievement of learning degrees, has been clear about the “gold course” construction principle: course education, value guidance; build between colleges, work-integrated learning; digital technology, comprehensive integration; to student center, continuous improvement, and put forward the “gold course” development path and paradigm from construction contents, construction path and evaluation standard.
Development of Web-Enabled Online Learning Effectiveness Model Based on Online Video Tutorial

Information technology has a major impact on knowledge-sharing activities. The combination of knowledge-sharing tools such as Web 2.0 and multimedia embodied in the use of tutorial videos on web-enabled online learning is the solution. The solution is expected to improve individual performance in solving troubleshooting problems. The model was developed which explained the relationship between knowledge sharing and individual performance in troubleshooting problems and identified the factors that influence it. The research data is obtained by distributing questionnaires online to Telkomsel service users who have experienced problems troubleshooting products or services. The conceptual model was tested based on 205 samples obtained online. From the test results, it can be seen that web-enabled online learning is effective because tacit knowledge sharing that occurs directly increases individual performance while the effect of explicit knowledge sharing is mediated by tacit knowledge sharing. The factors that drive knowledge-sharing activities can influence individual performance, namely trust, IT usage, and usability.
Macroscopic entanglement bags award

The Physics World 2021 Breakthrough of the Year goes to work on the fuzzy interface between the quantum and classical worlds, as Hamish Johnston reports.
Analysis of Communication Compression and Transmission in a Multimedia and Internet of Things Environment Integrating Scene Elements

In order to improve the effect of multimedia data transmission, this paper integrates scene elements to analyze the needs of multiple types of data transmission and uses the technology of the Internet of Things to analyze the compression and transmission of multimedia data communication. Moreover, this paper proposes a reversible information hiding algorithm for encrypted images based on pixel sorting and grouping prediction and discusses how to improve the prediction accuracy through the histogram of prediction errors. In addition, this paper designs a communication compression transmission system in a multimedia and Internet of Things environment integrating scene elements and builds system function modules and system processes. Finally, this paper verifies the performance of the proposed system by means of simulation experiments. From the experimental results, we can see that the system proposed in this paper has a good multimedia information transmission effect.
3D models development of tourism facilities

This article discusses the process of creating a geographic information system of tangible cultural heritage sites in Samarkand by integrating the visualization of tourist facilities with 3D tools.The use of electronic cards and 3D models based on modern methods is leading in the development of tourism processes in the world and in different regions. Given the growing demand for accurate information electronic maps and 3D models for the global tourism industry, the introduction of new methods of creating electronic tourist maps and 3D models based on geographic databases using modern technologies is required.
Geochemical methods to prospect for gold mineralization in Shamkhyia area : northern state-Sudan

Geochemical methods to prospect for gold mineralization in Shamkhyia area : northern state-Sudan&#x0D; The study area is located in the northern border of Buyda Desert at the lobe of the River Nile at coordinates: latitude 19° 27 25" N, longitude 32° 59’ 37'.&#x0D; Unconsolidates samples were collected from areas of the suspected Au bearing sector to reveal secondary dispersion patterns.&#x0D; The results which were obtained for Au and accompanying elements (Ag, Cu, Co, Cu, Pb, and Zn) Table No (7 , 8) were subjected to statistical analysis to reveal parameters such as background values (Cb) coefficient of correlation (r), coefficient of variation (c.v), geochemical factors (u), and productivities (q,Q) and coefficient of dispersion (5).&#x0D; These parameters can be used as prospecting and exploration criteria.&#x0D; The coefficient of correlation of Au with the accompanying elements in rock chip composite samples show values more reliable for prospecting than those of the soil samples.&#x0D; Geochemical factors of ratios of contents of epithermal elements to hypothermal elements indicate deeper levels of mineralization and weathering.&#x0D; Gold dispersion shows less erratic behavior and this reflects more or less the morphology of the hidden ore bodies.&#x0D; The main conclusions are:- Coefficient of corelations when they are reliable can be used to define pathfinders to prospect for the difficult gold.&#x0D; Coefficient of mobility can be used to adopt sampling intervals and grid system.&#x0D; Geochemical factors can indicate horizon of mineralization and level of weathering.&#x0D; Geochemical reserve can be used to indicate priorities for further extensive explorational studies
Perancangan Sistem Data Keuangan Dan Pendaftaran Member Pada Vanlino Gym Menggunakan Visual Basic 2010

Designing a Financial Data System and Member Registration at Vanlino Gym Using Visual Basic 2010. This study aims to design and test a financial data system and member registration at Vanlino Gym using Visual Basic 2010. This study uses the type of research and development (Research and Development). The results of this study indicate an information system at Vanlino Gym in which there is information on prospective member profiles, member data, transaction data, category data and cashier data making transactions. Implement a member data information system at Vanlino Gym by installing this application on the admin computer so that it runs according to the results of the information system design that has been created and displays all transaction data and Vanlino Gym members on the member data menu.
Statistical Method of Social Audit Risk Based on Machine Learning in the Context of Big Data

With the continuous complexity of China’s market economic environment and the increasing role of social audits, there are an increasing number of audit risk problems, and research on this topic is increasingly important. Based on the above background, a social audit risk statistical method based on machine learning under the background of big data is proposed. Under the guidance of the index principle, this method selects the social audit risk statistical index and constructs the index system. Using the analytic hierarchy process, calculate the weight of social audit risk statistical indicators. The self-organizing feature mapping neural network in machine learning is used to construct the risk statistical model and complete the risk quantitative analysis. The experimental results show that under the application of the research method, the error between the social audit risk statistical results and the actual result is very small, which shows that the statistical accuracy of the research method is high and has wide application prospects.