Reviewerly/exHarmony huggingface dataset:
Multispecies Segmented Trapped Ion Architecture for Scalable Quantum Computing

Here we propose a new way to scale up trapped ion quantum computer based on long multispecies ion chains. Mass difference of ions leads to chain segmentation and allows to implement high-fidelity entangling gates.
Deep Learning of Quantum Entanglement

Detection of quantum correlations in a physical system is paramount to many cutting-edge applications in quantum information processing. We tackle the problem of inferring the entanglement from incomplete measurements by employing deep neural networks.
Recursion Depth Reduction in Shor’s Algorithm

Mathematical-oriented analog quantum computing paradigm seeks perfectness in searching for solutions. However, the errors propagation due to noises may offset the accuracy over time. This paper aims to shorten the execution time on QFT transforms.
Quantum computation in Markovian and non-Markovian regime

Optical nanofiber (ONF)-atom configurations can serve as quantum nodes. We provide time-delayed feedback for such nodes using Fiber-Bragg-Grating (FBG) mirror and record the arrival time of photons, emitted by the same atoms.
Civic engagement in China against misinformation using danmu during the initial COVID-19 outbreak

As of December 13, 2020, the global spread of COVID-19 surpassed 72 M infected cases. Citizens took to social media to provide and seek information regarding COVID-19, raising concerns over health misinformation and source credibility. Our work focuses on the Chinese public’s navigation of information credibility in the heavily surveilled Chinese digital media system. This case study carefully spotlights the tensions in the early stages of the pandemic (Feb/March 2020) on the Chinese media platform, Bilibili. We find that Chinese state narratives through mainstream media were countered using rhetorical strategies based on coded language, carnival, and parodic satire. Although taking place in a particular temporal and geographic context, we argue that the findings generalize to digital civic resistance in any context of systemic oppression to free speech. This work also contributes to the intersection of platform governance and parodic resistance against algorithmic content moderation. We conclude with a call to media scholars to account for emerging media platforms and features to resist state media censorship and narrative dominance, particularly as a path to uplifting and amplifying the voices and stories of marginalized communities.
Douyin clues forensics analysis using knowledge graph

Because of the interaction of Douyin, it has become a new generation of social tools. There is a huge browse every day, which will leave various access data. Internet criminals take advantage of the characteristics of low cost, high fraud rate and strong concealment, and the interests of users are easily violated on social platforms. Therefore, it is of far-reaching significance to protect the interests of users by forensic analysis of social platforms. In this paper, we conduct forensic analysis of Douyin. The effective data displayed by Douyin lack other relevant information, such as various id information, hardware and software information, and dynamic details information. By building a proxy server to obtain the user information data of Douyin, the knowledge map of key data information is drawn, and the extracted information is transformed into the relationship map for visual display, which improves the efficiency of tracking analysis for analysts to fix relevant evidence.
News of Scientific Life - Information on the General Seminar of the Department of Probability, Faculty of Mathematics and Mechanics, Lomonosov Moscow State University, Moscow, Russia, 2021

This paper presents abstracts of talks given at the General Seminar of the Department of Probability, Faculty of Mathematics and Mechanics, Lomonosov Moscow State University, held in Moscow in 2021. Current information about the seminar is available at http://new.math.msu.su/department/probab/seminar.html.
Analysis of a Multiple-Shift Computer-Based Examination Evaluation System

Conducting the exam in different shifts means the variation in the difficulty level of the different shifts of the exam. Various recruitment bodies adopt normalization process to solve this issue. This paper contains a detailed study of the normalization process carried out by the recruitment bodies. The study also includes the effect of normalization in the candidate's score and it depends on the difficulty level of the shift in which the candidate appears in the exam. This work can be further enhanced by comparing the different methods adopted by similar recruitment/selection organization and adopting the best, more appropriate approach to improve the system. This analysis will help in improving the evaluation system and make the system more robust and accurate. So that a more accurate merit list can be prepared and all the stakeholders can be reassured. It is very important to make the system transparent, so that the stakeholders have a clear understanding of the system and at the same time they should be aware of the advantages and disadvantages of the system.
Benchmarking Quantum Processor Performance through Quantum Distance Metrics Over An Algorithm Suite

Quantum computing is poised to solve computational paradigms that classical computing could never feasibly reach. Tasks such as prime factorization to Quantum Chemistry are examples of classically difficult problems that have analogous algorithms that are sped up on quantum computers. To attain this computational advantage, we must first traverse the noisy intermediate scale quantum (NISQ) era, in which quantum processors suffer from compounding noise factors that can lead to unreliable algorithm induction producing noisy results. We describe QASMBench, a suite of QASM-level (Quantum assembly language) benchmarks that challenge all realisable angles of quantum processor noise. We evaluate a large portion of these algorithms by performing density matrix tomography on 14 IBMQ Quantum devices.
17th IEEE International Workshop on Automatic Performance Tuning (iWAPT2022)

The goal of the Seventeenth International Workshop on Automatic Performance Tuning (iWAPT2022) is to bring together researchers who are investigating automated techniques for constructing and/or adapting algorithms and software for high-performance on modern complex machine architectures. iWAPT is a series of workshops that focus on research and techniques related to performance sustainability issues. The series provides an opportunity for researchers and users of automatic performance tuning (AT) technologies to exchange ideas and experiences acquired when applying such technologies to improve the performance of algorithms, libraries, and applications; in particular, on cutting edge computing platforms. The half-day workshops consist of presentations of research papers. Topics of interest include performance modeling; adaptive algorithms; autotuned numerical algorithms; libraries and scientific applications; empirical compilation; automated code generation; frameworks and theories of AT and software optimization; autonomic computing; and context-aware computing.
PDCO 2022 Keynote Talk: Performance and Energy models for modern HPC servers

Most energy-aware studies are based on hypothesis. The most important are the models of the studied system. Depending on the precision of these models, the proposed theoretical framework can be transposed on actual system or are limited to theoretical studies. During this keynote, we will explore the differences between classically used models of performance, power, and energy of HPC systems on one side, and actual measures on several clusters on the other. It will include elements on the heterogeneity of homogeneous systems. We will also propose more realistic models for expressing the behavior of HPC systems, from hardware to applications. Some elements on the tradeoff between the complexity of the algorithms and their precision will also be precised. One of the key metric of this complexity will be the amount of data needed to obtain them as measuring energy-related information on HPC datacenters is often difficult.
Advantages of a physics-embedding kernel for robot inverse dynamics identification

The Geometrically Inspired Polynomial Kernel (GIP) [1] has been recently proposed in the context of black box inverse dynamics estimation based on Gaussian Processes, driven by the fact that the inverse dynamics map derived from the Lagrangian equations is a polynomial function in a suitable feature space. In this paper, we further investigate the advantages of the GIP kernel comparing it with the state of the art Radial Basis Function Kernel (RBF). In particular, we extend the analysis of the generalization properties, by comparing estimation accuracy and reliability of the confidence intervals returned. Moreover, we evaluate the structural properties induced by the two kernels considering their ability to estimate inertial, Coriolis and gravitational components of the inverse dynamics map. Numerical experiments confirm that the GIP kernel has better generalization properties and returns more reliable estimates of the prediction variance. Moreover, its superior ability to estimate inertial, Coriolis and gravitational torques components, suggests that it better encodes the underlying structural properties of the unknown inverse dynamics map.
An Analysis of Learner Perception and Needs for the Liberal Arts Curriculum at University in the COVID-19 Situation: Focusing on A University

Objectives The purpose of this study is to analyze learners' perceptions and necessity of the university liberal arts curriculum at the time when the government's COVID-19 prevention policy was in full swing. For this purpose, 475 students taking liberal arts courses at A Univ. located in the metropolitan area were evaluated on their experiences of taking liberal arts courses, awareness and necessity of lecture structure, learning activities, academic achievement, academic achievement, and evaluation.&#x0D; Methods As an analysis method, as a result of examining the requirement ranking by factor through the Borich’s Requirement Formula and the The Locus for Focus Model, it was found that there was a statistically significant difference in the t-test for importance and current level.&#x0D; Results First, the content showing the highest trend among the teachers' requests for lesson design perceived by learners was the composition of various theoretical lectures and learning activities tailored to liberal arts subjects. Second, it is necessary for teachers to improve students' ability to solve problems and think through liberal arts classes, and to have frequent opportunities for mutual communication between professors and learners. Third, students perceived positively both at the current level and importance in relation to the liberal arts class grade evaluation. Fourth, students gave an overall positive evaluation of the current liberal arts curriculum.&#x0D; Conclusions The researcher first needs to reinforce the lesson design that can communicate well with each other regardless of the type of class in order to increase the educational performance and effectiveness between professors and learners. It was suggested that universities and professors are required to prepare a standard system that can autonomously design lessons according to new lesson types and monitor learners' learning performance.&#x0D; &#x0D;
Empowering teachers with critical digital literacy skills and driving change at schools in Turkey

The COVID-19 pandemic highlighted the importance of and the need for critical digital literacy for teachers in Turkey. Critical digital literacy, by its definition, demands more than operational and technical skills. It includes skills to deepen research, critically interact online, and carefully evaluate information in the digital world. The case study focuses on a project called “Empowering teachers with critical digital literacy skills”. The project has been carried out in Turkey, in collaboration with Teyit, a not-for-profit independent fact-checking organisation, and Teacher’s Network, which aims at teacher empowerment. The project was run directly with the input of 39 K-12 teachers from 19 different urban and rural cities with various professional experiences, who taught in various branches and worked at private and public schools in Turkey. It aimed at critical digital literacy empowerment through three levels; empowerment through asynchronous and synchronous learning experiences; empowerment through peer-engagement and co-creation; and empowerment through application and action. This chapter examines how equipping teachers with critical digital literacy skills can mobilise them to drive change in educational settings during the pandemic.
Netreason: Reasoning about social networks

The spread and exchange of information among people has been formally studied in the social sciences since the 1950s. The ways in which we do communicate has changed multiple times since. In particular, since the digitalization of communication methods, the speed of information exchange, the connectivity among people and with artificial agents, the reachability of information contents have all changed. Moreover, we now have an almost permanent record of what knowledge has been communicated, when, by whom. This novel status of information exchange has rapidly become a new field of studies on its own. The understanding of networked communication has thus become ubiquitous in multi-agent systems in AI, in epistemic-social logics and of course in social network analysis. Works that address this challenge are also split across these fields. This special issue is devoted to the theme of the ECAI workshop ‘Netreason: Reasoning About Social Networks’ (organized online on September...
Translations from Ancient Authors by M.N. Muravyov (Based on Materials from Russian State Library Manuscript Department)

The article discusses M.N. Muravyov’s manuscript heritage. The main source is the poet’s “Notebook” preserved at the RSL Manuscript Department. The poet’s translations from ancient authors are introduced into scientific circulation. In addition, the issue of the fundamental unity of Muravyov’s work, in which there is no sharp contradiction between the “translation” and the “original”, is raised. For the first time, such texts by Muravyov as “Reconciliation. Parody of Horace’s Ode IX from Book I”, “Iambs”, “Agriculture”, “Annoyed Achilles”, ”Ephesian Widow”, and “Epistola”, are published. In addition, new material for reconstructing the creative history of the fable “The Wolf and the Fox” is proposed.
Design of RT/RW Portal Public Service Applications to Build a Technology Literate Society in the Era of Society 5.0

&lt;p class="Abstract"&gt;The role of RT/RW administrators is not only as administrative public servants but also as a servant to the interests of the wider community. Therefore, their role needs to be optimized so that the aspirations of the citizens can be accommodated. However, the large area and dense population often make RT/RW administrators constrained in accelerating access to services and increasing the effectiveness of their activities. The role of information technology is very important, considering that the use of technology has been proven to be successful in improving public services. The utilization of an existing information system is not necessarily in accordance with the needs and related regional policies. In this study, the development of a system adapted to the needs and regional policies, especially in Sekeloa Village, Coblong District, Bandung City was carried out. An RT/RW Portal application was produced which has five main features, namely reporting events, invitations to activities, voting, transparency of funds, and printing reports. This application development method uses the SDLC (Software Development Life Cycle) method with stages of data requirements analysis, software design and design, application development (programming) and application testing before being implemented in RT-RW. The results obtained are in the form of an RW portal application that can assist the function and role of the RT/RW both in administrative management, as well as the dissemination of information in the form of news on activities surrounding the RT/RW. The conclusion is that the API of this application can be developed to build mobile.&lt;/p&gt;&lt;p class="Abstract"&gt; &lt;/p&gt;
A Survey on Applications of Sampling Operators in Image Processing

The objective of this paper is to present a brief study of linear and non-linear cases of univariate and multivariate Kantorovich sampling operators and their applications to image processing.This kind of operators are very suitable to study applications to Signal and Image Processing.Image processing through sampling operators plays a crucial part in the diagnosis of Arterial diseases.The visual and empirical assessment of cardiac structure and function is an important challenge faced by medical elds and hospitals.
PENGEMBANGAN MEDIA PEMBELAJARAN BERBASIS WEBLOG PADA MATERI PROGRAM LINEAR KELAS XI

This study aims to produce a weblog on linear programming material that is suitable for use in the learning process. This research is a research and development (Research and Development) using the ADDIE model (Analysis, Design, Development, Implementation, and Evaluation). The test subjects in this study were 25 students of class XI SMAS Mujahidin Pontianak, while the object of this research was a weblog with linear programming material. The appropriateness of the learning media was assessed by media experts, material experts, and teachers before a limited trial was carried out by students.learning media weblog that has been developed according to material experts is obtained with a percentage of 75% with a decent category, according to media experts it is obtained a percentage of 77.5% with a very decent category, and according to the teacher's assessment a percentage of 82.5% with a very decent category. Meanwhile, for student responses, the percentage is 81.4% with a very decent category. Based learning media weblog on linear programming material is feasible to use in learning.
Cyber trust cultivation premise and development

Digital transformation and connectivity have provided unprecedented opportunities for cyberattacks. Cyber incidents undermine trust, negatively affect consumers’ trust, and can cause significant direct economic losses. Therefore, organizations should make cybersecurity by design a crucial feature of their strategy. This chapter reviews the literature and the main cyber trust legal provisions at European Union and United States levels, followed by a student opinion survey on cyber trust involving respondents from Poland, Romania, and the United States. The survey aimed to verify a number of research questions, such as what cyber trust is, how individuals perceive it, and how to better support cultivation of cyber trust, resilience, and cybersecurity. The key findings of this chapter are that cyber trust expertise requires cognitive thinking about cyberattacks and constant engagement in cyber trust education and training.
An empirical study of social media using habits of youth in Iraq

Social media has undoubtedly engulfed the whole world under its gargantuan stature since the turn of the century. It has not only brought about rapid, mind-blowing and unforeseen changes in the modes, means and methods of communication but it has also made the life complicated for industrial media. It won't be an iniquitous to state that Social Media has provided a much needed check on the mainstream media. It has revolutionized the communication patterns across the globe. It is true that it has become a part and parcel of life but its addiction has adversely affected the mental and psychological health of people around the world. Youth is found to be the heavy user of social media. This study aims at learning the social media using habits of youth in Iraq.
Dynamic facial expression recognition of sprinters based on multi-scale detail enhancement

In order to solve the problems of low average gradient and long recognition time in traditional facial expression recognition method, a multi-scale detail enhancement method for facial dynamic expression recognition of sprint athletes is proposed. A principal component analysis method was used to establish the facial expression feature subspace of sprinters, to project and reduce the dimension of the facial dynamic expression feature vector of sprinters, and to obtain the low frequency information and high frequency information of the facial image of sprinters by bilateral filtering. The multi-scale details of expression are enhanced by using side suppression network model and improving image S curve. The feature vector of facial dynamic expression is input into support vector machine to recognise the facial dynamic expression of sprinter. Experimental results show that the average value of annoying gradient is about 98 and the shortest time s. is about 1.9.
PERCEPTION AND PROSPECTS OF EDUCATIONAL ASSESSMENT ADMINISTRATORS USING COMPUTER ADAPTIVE TESTING: CASE STUDIES FROM WEST AND SOUTH AFRICA

Ponte Academic JournalAug 2022, Volume 78, Issue 8 PERCEPTION AND PROSPECTS OF EDUCATIONAL ASSESSMENT ADMINISTRATORS USING COMPUTER ADAPTIVE TESTING: CASE STUDIES FROM WEST AND SOUTH AFRICAAuthor(s): Jumoke I. Oladele ,Mdutshekelwa Ndlovu, Esther O. Bamidele, Henry O. OwolabiJ. Ponte - Aug 2022 - Volume 78 - Issue 8 doi: 10.21506/j.ponte.2022.8.3 Abstract:The Covid-19 Pandemic affected world economies unimaginably, not leaving out the educational sector. Standardised educational assessments commonly deployed as paper-pencil in less developed countries faced challenges that call for technological adoption. The study was qualitative research of case study type. The study population was top-level officials in national examination bodies in Nigeria who served as key informants sampled using purposive and snowball techniques. In-depth interviews were conducted for data collection supported by documentary analysis to examine the perception and prospects of adopting Computer Adaptive Testing for Standardized Educational Assessment with case Studies from West and South Africa. Findings revealed that key informants positively perceived computer adaptive testing and were seen as consistent with current practices, experiences, and needs. The prospect of adopting the technology by examination bodies in West Africa was relatively high. However, there are myriad challenges to overcome to bring this to reality. Considering these findings, some recommendations were given. Keywords: Perception, Prospects, CAT, Standardised testing, Educational assessment, Covid-19, Less developed countries. The Covid-19 Pandemic affected world economies unimaginably, not leaving out the educational sector. Standardised educational assessments commonly deployed as paper-pencil in less developed countries faced challenges that call for technological adoption. The study was qualitative research of case study type. The study population was top-level officials in national examination bodies in Nigeria who served as key informants sampled using purposive and snowball techniques. In-depth interviews were conducted for data collection supported by documentary analysis to examine the perception and prospects of adopting Computer Adaptive Testing for Standardized Educational Assessment with case Studies from West and South Africa. Findings revealed that key informants positively perceived computer adaptive testing and were seen as consistent with current practices, experiences, and needs. The prospect of adopting the technology by examination bodies in West Africa was relatively high. However, there are myriad challenges to overcome to bring this to reality. Considering these findings, some recommendations were given. Download full text:Check if you have access through your login credentials or your institution Username Password