Reviewerly/exHarmony huggingface dataset:
Development of novel real-time intranet-based food ordering system

In today's fast-paced modern world, individuals often face time constraints that prevent them from spending ample time in the canteen, waiting for their food. To address this issue, an innovative approach is proposed i.e. Intranet-based food ordering system that offers convenience to both students and faculty. This system effectively tackles the drawbacks of the traditional queueing systems. Our proposed solution acts as a user-friendly medium for ordering food effortlessly from the cafeteria it uses technologies like HTML5, CSS3, JavaScript, Node.JS, Maria DB. It revolutionizes the process of taking customer orders. Through the Intranet food ordering system, a comprehensive online menu is made available, enabling customers to conveniently place their desired orders. Furthermore, customers can easily track the status of their orders. Since this system is implemented within a specific area such as campus, the order volume remains moderate, allowing for efficient service. Payments can be made online or through a pay-on-pickup (self-service) approach. To ensure enhanced security during the ordering process, individual user accounts are maintained, with each user being assigned a unique ID and password.
Commercial innovations in superconducting nanowire single-photon detectors for quantum and not-so-quantum optics

The cohort of companies and researchers working on a broad variety of technologies quantum information processing has grown dramatically in recent years. Novel research in the field of quantum photonics, in particular, is exciting and is seeing an increase in the number and scope of applications. In this talk I will give some background on Quantum Opus as a leader in providing advanced photon detection systems for research markets, including a state-of-the-art view of Superconducting Nanowire Single-Photon Detector (SNSPD) technologies, cryogenic and electro-optic developments, and what we see as the significant emerging quantum and non-quantum markets for superconducting photon detectors. These new markets include free-space communication, medical applications, and atmospheric sensing. Additionally I will explain some of the ways in which we have successfully balanced research with commercial product development through grants, collaborations, and joint commercial developments.
The State of the Art in Creating Visualization Corpora for Automated Chart Analysis

Abstract We present a state‐of‐the‐art report on visualization corpora in automated chart analysis research. We survey 56 papers that created or used a visualization corpus as the input of their research techniques or systems. Based on a multi‐level task taxonomy that identifies the goal, method, and outputs of automated chart analysis, we examine the property space of existing chart corpora along five dimensions: format, scope, collection method, annotations, and diversity. Through the survey, we summarize common patterns and practices of creating chart corpora, identify research gaps and opportunities, and discuss the desired properties of future benchmark corpora and the required tools to create them.
Collecting Cyclic Garbage across Foreign Function Interfaces: Who Takes the Last Piece of Cake?

A growing number of libraries written in managed languages, such as Python and JavaScript, are bringing about new demand for a foreign language interface (FFI) between two managed languages. Such an FFI allows a host-language program to seamlessly call a library function written in a foreign language and exchange objects. It is often implemented by a user-level library but such implementation cannot reclaim cyclic garbage, or a group of objects with circular references, across the language boundary. This paper proposes Refgraph GC , which enables FFI implementation that can reclaim cyclic garbage. Refgraph GC coordinates the garbage collectors of two languages and it needs to modify the managed runtime of one language only. It does not modify that of the other language. This paper discusses the soundness and completeness of the proposed algorithm and also shows the results of the experiments with our implementation of FFI with Refgraph GC. This FFI allows a Ruby program to access a JavaScript library.
Deep Transfer Learning Application for Intelligent Marine Debris Detection

This paper aims to evaluate the state-of-the-art object detection network; YOLOv5s (You Only Look Once version 5 small) for the detection of underwater marine debris using AUVs. The development of machine learning and AUVs for detecting marine debris is reviewed. In the paper, the YOLOv5s model is trained on a marine debris dataset using transfer learning. Several other object detection models are also trained on the same dataset for comparison. The results of the trained models are evaluated and the YOLOv5s model is deployed on an Android device to determine its suitability for real-time marine debris detection onboard AUVs. Overall, the YOLOv5s was able to achieve high accuracy scores of up to 91.2% and fast detection speeds of up to 20FPS on a Poco X3 Pro.
Usability Effectiveness of the State Polytechnic of Malang’s Learning Management System as e-Learning Media

The rapid development of information technology has impacted the education sector by supporting a more efficient and effective learning process. During the Covid-19 pandemic, online learning through e-Learning flourished and encouraged the transformation of conventional education to digital form, one of which is the Learning Management System (LMS). This research is aimed to carry out a deep analysis of its utilization as a learning media and the influencing factors of its utilization to determine the level of its usage effectiveness at the State Polytechnic of Malang. This research uses a quantitative descriptive method with a questionnaire as the research instrument for collecting data. The research uses System Usability Scale (SUS) evaluation method for determining scenarios, selecting respondents, collecting data, and performing calculations. The overall measurement results show that the SUS assessment score is 54.67, with a Learnability, Efficiency, and Memorability aspect score of 33.61. Then the Errors aspect score is 21.06, while the Satisfaction aspect score is 12.77. The LMS at the State Polytechnic of Malang has a low usability value, with a description Acceptability of Marginal, Grade Scale of D, and Adjective Rating of OK. Based on the final SUS score, the level of usage effectiveness of State Polytechnic of Malang’s LMS is still relatively low. However, its utilization is still accepted but needs improvement in some aspects.
THE INFLUENCE OF MODEL A DEMONSTRATION INTERACTIVE WITH MEDIA PROPS AGAINST THE CRITICAL THINKING SKILLS AND LEARNING MOTIVATION OF HIGH SCHOOL STUDENTS.

The research was conducted in SMA Negeri 2 Kotabumi North Lampung District school year 2017/2018. This study aims to Determine how much influence the use of Interactive Demonstration models with medi props against critical thinking skills and learning motivation grade XI. This type of research is quantitative research methodsExperimental quasy design.The population in this study is a class XI IPA 1 and XI IPA 2, means of the data collection in the form of tests, non-test, and documentation.Based on the results Obtained by the achievement for the critical thinking skills of the experimental class average value (79), while the control class average value (67). For motivation to learn Obtained experimental class props percentage (86%) while the percentage for the class gained control of (77%). Based on correlation test of significance of 0.009&gt; 0.05, then there is a significant correlation. The results Showed that the effect of the media aided Interactive Demonstration models props significant effect on critical thinking skills and learning motivation.
Exploration and Research on One-Stop Online Service Mode in Universities

With the continuous acceleration of the digital campus construction and the integration of information technology in universities, the reform of university management and services has been deepening.The one-stop online service mode has become the main mode and means of the construction of smart campuses in universities.This paper studies and expounds the current situation and problems of the construction of the existing one-stop online service mode in domestic universities.Combining with the construction and exploration of our university's one-stop online service hall, by changing the concept, strengthening top-level design, promoting resource integration and sharing, we have summarized a more efficient and long-term construction ideas and methods, and achieved good results in practice.Through standardized operation and maintenance, the quality and efficiency of management and services have been improved.
Cultural Differences as Barriers to Improving Positions in the International Rankings of Universities from Less Developed Countries

Purpose: The purpose of the chapter is to determine the role of management of cultural differences in improving the positions of universities of developing countries in international rankings, as well as to develop recommendations for improving this management. Design/methodology/approach: The research objects are the top 10 universities from developing countries that occupy the best positions in the QS ranking in 2022. The chapter contributes to the development of the concept of globalization of science and higher education by substantiating the key role of the factor of cultural differences and ways to overcome them in ensuring the global competitiveness of universities in developing countries. Findings: As a result, the central place of internalization in the system of global competitiveness of universities from developing countries has been proved. Originality/value: The theoretical significance of the results and conclusions is that they identified cultural differences as a barrier to improving positions in international rankings of universities from developing countries, and also determined prospects for overcoming this barrier – through the development of international students and international faculty. The practical significance of the research lies in developing a new approach to managing the global competitiveness of universities in developing countries through their internationalization, which enables them to overcome the lag behind universities in developed countries and compete for leading positions in international university rankings.
Development and Validation of Teaching Competency Self-Assessment Tool

Objectives The purpose of this study was to develop a self-assessment tool that could set related components and measure them in order to measure teaching competency. Methods In order to develop a self-assessment tool for teaching competency, related preceding studies were reviewed, and based on this, components of teaching competency were extracted. In addition, preliminary questions were formed and 53 questions were formed through expert review and preliminary investigation. Based on the data collected in the main survey, an exploratory and confirmatory factor analysis was conducted to develop a self-assessment tool for teaching competency. Finally, the reliability and validity of the developed self-assessment tool for teaching competency were verified. Results As a result of this study, the validity and reliability of the three teaching competencies (basic competencies, teaching competencies, and class management competencies) were verified. The suitability of the model was confirmed through confirmatory factor analysis. Accordingly, the teaching competency self-assessment tool consists of 6 questions for basic competency (understanding of school education, attitude as an educator), 25 questions for class competency (class design, teaching and learning execution, interaction with students), and class management competency (learning evaluation, class improvement). , learning counseling) consisted of 17 questions. Accordingly, the teaching competency was developed with a total of 48 items. As a result of examining the reliability of the finally developed item, Cronbach a .964 was found to be good. Conclusions The results of this study are significant in that they developed a self-assessment tool that can measure them based on the constituent factors of teaching competency. Through the teaching competency self-assessment tool, instructors can understand their own strengths and weaknesses and help them select teaching support programs suitable for their capabilities. In addition, university institutions such as the Teaching and Learning Center can use it as basic data to design and operate teaching programs based on the analysis of instructors' teaching capabilities.
Niveles de satisfacción en la implementación de la clase invertida a través de educación virtual

Mathematics education is a highly demanded constructor in the current context, in order to improve learning. In this sense, the objective of the study was to determine the levels of satisfaction in the implementation of the inverted class methodological strategy in high school students. The design was descriptive, with a population (n=240) students and a sample (n=120). The questionnaire adopted by Monjaras (2019) was applied, which contains 25 items grouped into 4 dimensions, with a reliability of 0.94. The results placed in the category of very strongly satisfied and very satisfied 41.5% in the dimension "invested class management"; 40.4% "resources and equipment"; 38.0% "teacher profile" and 41.5% "student profile". It is inferred that this strategy achieves gratifying satisfaction in the student, with respect to the development of their autonomy, collaborative work, good predisposition for study, positive attitude and optimism in the work of the different areas.
Angola: National Bank Results

Africa Research Bulletin: Economic, Financial and Technical SeriesVolume 60, Issue 4 p. 24272A-24272B Policy and Practice Angola: National Bank Results First published: 05 June 2023 https://doi.org/10.1111/j.1467-6346.2023.11099.xRead the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume60, Issue4June 2023Pages 24272A-24272B RelatedInformation
Perfect control for nonminimum-phase unstable systems defined in the multivariable continuous-time state–space framework — An inverse-based approach

In this paper, a new perfect control law dedicated to nonminimum-phase unstable LTI MIMO systems governed in the continuous-time state–space domain is proposed. Two algorithms are investigated, one of which has turned out to be definitely accurate. Henceforth, the inverse model control-based formula can be applied to any right-invertible plants having more input than output variables. Last, not least, through the application of some generalized inverses, the perfect control procedure guarantees the structural stability behavior even for unstable systems. Thus, the notion of the nonminimum-phase property should be understood in terms of a possible achieveability covering the entire class of LTI MIMO continuous-time plants. Theoretical and practical simulation examples performed in the Matlab/Simulink environment confirm the feasibility of the newly introduced approach.
RESTChain: a Blockchain-based Mediator for REST Interactions in Service Choreographies

In inter-organizational contexts, different organizations cooperate exchanging information, to reach specific and shared objectives. The achievement of such interactions raises the need for a trusted communication environment to be used by the participants. This is a particularly relevant challenge when such interactions are specified in a peer-to-peer style, as in the case of Service Choreographies. Indeed, in such situations, the involved participants expect that all the interactions are performed abiding by the agreed specification. To support such a scenario, blockchain technology is gaining interest thanks to its security, trust, and decentralization characteristics. However, technological barriers still limit its adoption in real context due to the costly and time-consuming learning process. For this reason, we propose RESTChain, a general framework relying on blockchain technology enabling in an automatic way the interactions that take place among the participants in a service choreography. Starting from a choreography specification, the framework automatically derives a set of Mediators and a Smart Contract that coordinates the service interactions. In this way, each organization can communicate with the other services through the blockchain in a secure, auditable, and transparent manner.
Classification of Newspaper Article Classification by Employing Support Vector Machine in Comparison with Perceptron to Improve Accuracy

Aim: The study's goal is to carry out text classification analysis.Materials and Methods: Accuracy is analyzed for text classification. It helps to organize the data entry data. The perceptron is mainly classified into two parts of data. Inaccurate newspaper articles have a low text classification accuracy rate and the classification is performed in various sectors in text analysis. Analysis of news articles is used to identify the text analysis whether the text in the article is negative or positive impressions are neutral and to identify the accuracy comparison between SVM and perceptron. Classification of text is performed on SVM statistical distribution of (N=42), acquired by statistical power at a rate of 80%. Results: The SVM's accuracy is 82.71%, which is higher than the Perceptron's (PER) accuracy of 75.86%. The significant value for accuracy is 0.196 (p>0.05). Conclusion: SVM performs better inaccuracy with the comparison of the perceptron. We can predict that the support vector machine which was proposed had better accuracy than the existing system perceptron.
Intensive Noise-Tolerant Zeroing Neural Network Based on a Novel Fuzzy Control Approach

To overcome the disadvantages of the current zeroing neural network (ZNN) in noise tolerance, this article first proposes an intensive noise-tolerant ZNN (INT-ZNN) by introducing a novel fuzzy control approach (FCA). This FCA is designed dexterously according to the variation of two errors related to the INT-ZNN. Thus, the most feature of the INT-ZNN is that the added fuzzy control can inherently restrain the various noises. Compared with the previous noise-tolerant ZNN derived by the integral design formula, the INT-ZNN with a much simpler structure can tolerate the noise in finite/fixed time. That is, the INT-ZNN activated by nonlinear functions possesses finite/fixed-time convergence while suppressing the noise, which is guaranteed by the presented theorems. Besides, it also theoretically proves that the INT-ZNN has global stability under the interference of noise. In the simulative experiment, the INT-ZNN is used to solve the time-varying Sylvester matrix equation problem and the experimental results verify the excellent noise-tolerance of the INT-ZNN. Meanwhile, the INT-ZNN is successfully applied to image processing.
Learning Hidden Graphs from Samples

Several real-world problems, like molecular biology and chemical reactions, have hidden graphs, and we need to learn the hidden graph using edge-detecting samples. In this problem, the learner receives examples explaining whether a set of vertices induces an edge of the hidden graph. This paper examines the learnability of this problem using the PAC and Agnostic PAC learning models. By computing the VC-dimension of hypothesis spaces of hidden graphs, hidden trees, hidden connected graphs, and hidden planar graphs through edge-detecting samples, we also find the sample complexity of learning these spaces. We study the learnability of this space of hidden graphs in two cases, namely for known and unknown vertex sets. We show that the class of hidden graphs is uniformly learnable when the vertex set is known. Furthermore, we prove that the family of hidden graphs is not uniformly learnable but is nonuniformly learnable when the vertex set is unknown.
Conceptual Model for Assessment of the Use of ICT among Small and Medium Scale Enterprises (SMEs) in Oyo State, Nigeria

Purpose Small and medium enterprises (SMEs) have emerged as promising opportunities to eliminate and reduce unemployment globally, and at the same time, brought about increased levels of technological advancement which has equally revolutionized the dynamics of the business terrain. Contrarily, many SMEs in Nigeria are not utilizing ICT due to some major barriers as identified in the literature. To this end, this study aims to propose a conceptual model for assessing the influential factors of ICT use among the SMEs. Design/methodology/approach To complement this, a survey was conducted in Oyo South Senatorial district of Oyo State, Nigeria. A total number of Seventy-three (73) SMEs operators were randomly selected as the sample size. The descriptive statistics which includes frequency counts and percentages were used to describe the sample and to assess ICT use. Regression analysis was used to assess the relationship and influence of technology, organization and environment characteristics on use of ICT. Findings The findings revealed that ICT use has significant positive relationship with the constructs of the TOE Framework. the TOE Constructs also have joint influence on the use of ICT by the SMEs. Discussion of findings, summary and conclusion along with research contribution were also presented in this study. Originality/value The Technology, Organization, and Environment (TOE) framework has been widely used in examining the factors influencing IT adoption generally, but few studies have attempted to use this framework to measure ICT use among the SMEs.
To Be Heard Through The #Metoo Backlash

The Johnny Depp v. Amber Heard defamation trial constitutes what Sarah Banet- Weiser (2018) calls a 'feminist flashpoint': it has become a media event that facilitates and shapes discourses around gender-based violence in the public sphere. The cultural significance of the social media commentaries on the trial is threefold. First, the sheer volume of media traffic turns sexual violence into a media spectacle. Second, commentary featured discussion of domestic violence and situated it within the legacies of #MeToo. Thirdly, the stark divide between Depp and Heard supporters reveals shifts in cultural understandings of sexual violence since #MeToo but also a backlash against the movement. Cultural understandings of gender-based violence and feminism, popularised by #MeToo, are acknowledged, but the same digital tools that enable online feminist activism are mobilised in the backlash. The authors explore the re-activation of the myth of the 'ideal victim' Heard's resistance to dominant representations of the passive victim; and the 'memeification' of Heard (Valenti 2022) as a form of gendered surveillance and policing. The trial exemplifies a new iteration of postfeminism, one that acknowledges the cultural and political significance of #MeToo yet upholds the same rape myths that were previously criticised.