Reviewerly/exHarmony huggingface dataset:
On Actual Preparation of Dicke State on a Quantum Computer

The exact number of CNOT and single qubit gates needed to implement a Quantum Algorithm in a given architecture is one of the central problems of Quantum Computation. In this work we study the importance of concise realizations of Partially defined Unitary Transformations for better circuit construction using the case study of Dicke State Preparation. The Dicke States $(\left|D^n_k \right&gt;)$ are an important class of entangled states with uses in many branches of Quantum Information. In this regard we provide the most efficient Deterministic Dicke State Preparation Circuit in terms of CNOT and single qubit gate counts in comparison to existing literature. We further observe that our improvements also reduce architectural constraints of the circuits. We implement the circuit for preparing $\left| D^4_2 \right&gt;$ on the "ibmqx2" machine of the IBM QX service and observe that the error induced due to noise in the system is lesser in comparison to the existing circuit descriptions. We conclude by describing the CNOT map of the generic $\left| D^n_k \right&gt;$ preparation circuit and analyze different ways of distributing the CNOT gates in the circuit and its affect on the induced error.
A Construction Method of an Isomorphic Map between Quadratic Extension Fields Applicable for SIDH

A quadratic extension field (QEF) defined by F1 = Fp[α]/(α2+1) is typically used for a supersingular isogeny Diffie-Hellman (SIDH). However, there exist other attractive QEFs Fi that result in a competitive or rather efficient performing the SIDH comparing with that of F1. To exploit these QEFs without a time-consuming computation of the initial setting, the authors propose to convert existing parameter sets defined over F1 to Fi by using an isomorphic map F1 → Fi.
Pricing cyber insurance for a large-scale network

Facing the lack of cyber insurance loss data, we propose an innovative approach for pricing cyber insurance for a large-scale network based on synthetic data. The synthetic data is generated by the proposed risk spreading and recovering algorithm that allows infection and recovery events to occur sequentially, and allows dependence of random waiting time to infection for different nodes. The scale-free network framework is adopted to account for the topology uncertainty of the random large-scale network. Extensive simulation studies are conducted to understand the risk spreading and recovering mechanism, and to uncover the most important underwriting risk factors. A case study is also presented to demonstrate that the proposed approach and algorithm can be adapted accordingly to provide reference for cyber insurance pricing.
Strategy for Improving Target Selection Accuracy in Indirect Touch Input

Aiming at the problem of low accuracy of target selection in indirect touch input, an indirect multi-touch input device was designed and built. We explored here four indirect touch input techniques which were TarConstant, TarEnlarge, TarAttract, TarEnlargeAttract, and investigated their performance when subjects completing the target selection tasks through comparative experiments. Results showed that TarEnlargeAttract enabled the shortest movement time along with the lowest error rate, 2349.9ms and 10.9% respectively. In terms of learning effect, both TarAttract and TarEnlargeAttract had learning effect on movement time, which indicated that the speed of these two techniques can be improved with training. Finally, the strategy of improving the accuracy of indirect touch input was given, which has reference significance for the interface design of indirect touch input.
Getting Started with Python

This book teaches the Python programming language, which is one of the most popular languages for introductory programming courses. An advantage of Python is that it is a so-called high-level language, with simple and intuitive syntax that makes it easy to get started. However, although it works well as a beginner’s language, Python is also suitable for more advanced tasks, and it is currently one of the most widely used programming languages worldwide.
Learning unbiased zero-shot semantic segmentation networks via transductive transfer

Semantic segmentation, which aims to acquire a detailed understanding of images, is an essential issue in computer vision. However, in practical scenarios, new categories that are different from the categories in training usually appear. Since it is impractical to collect labeled data for all categories, how to conduct zero-shot learning in semantic segmentation establishes an important problem. Although the attribute embedding of categories can promote effective knowledge transfer across different categories, the prediction of segmentation network reveals obvious bias to seen categories. In this paper, we propose an easy-to-implement transductive approach to alleviate the prediction bias in zero-shot semantic segmentation. Our method assumes that both the source images with full pixel-level labels and unlabeled target images are available during training. To be specific, the source images are used to learn the relationship between visual images and semantic embeddings, while the target images are used to alleviate the prediction bias towards seen categories. We conduct comprehensive experiments on diverse split s of the PASCAL dataset. The experimental results clearly demonstrate the effectiveness of our method.
Subject Guides: Open Research: a Practical Guide: Preregistration, protocols & notebooks

This Practical Guide provides helpful support and links to recommended external resources for a range of open research practices.
Legislating Fake News-Drawing Line Between Free Speech and Disinformation

This article discusses the challenges faced by fake news and disinformation disseminated through social media platforms in India, and the need for effective legislation and robust regulatory mechanism to deal with the said challenges. A line has to be drawn between the “free speech” that needs to be protected and “disinformation” that needs to be legislated by imposing reasonable restrictions on freedoms of speech and expression. This article, with the aid of Supreme Court judgments on the issue of subordinate legislation, further strives to argue that Indian government’s initiative to legislate the fake news and disinformation through subordinate legislation (Information Technology [Intermediaries Guidelines (Amendment) Rules, 2018) may not achieve the goal as subordinate legislations have their own limitation and cannot travel beyond the scope of enabling Act.
A Systematic Overview and Comparative Analysis of Service Discovery Protocols and Middlewares

Context is major source of communication, where information is gathered easily from user context due to the progress of smart and context aware systems.Even, service directory also supports the systems to response the requests, sent through client.In this paper, the authors overviews context aware systems, their sensing capabilities in location or beyond location along with COIVA (a context aware system).Eight discovery protocols along with their functionalities (such as DEAPspace, DNS-SD, JXTA, RDP, LDAP, CORBA Trader, UDDI and Superstring) are discussed and compared to evaluate the performance and efficiency of system.In addition, six middleware (such as CAMPUS, CASF, SeCoMan, CoCaMAAL, BDCaM, and FlexRFID) are compared to evaluate factors (such as Architectural style, Context abstraction/Reasoning level, Context awareness level, Contextual adaptation approaches, Decision making, and Programming model).The authors further categorized them into sub categories discussed in Section 4 and named CoCaMAAL as better middleware as compared to others.
Containerization methods in internet service applications

This work describes the most important methods of isolating running processes of selected software on one physical machine without using full virtualization of the operating system. It includes a comparison of the basic components of each of the methods described, including the features and interface, as well as the results of performance testing in a test environment prepared for this purpose. Research is based on running an identical application and comparing the use of basic system resources, as well as the time of launching containers. It may also be important to compare the methods studied to classical virtualization. At the end of the work, conclusions are described that may be relevant when choosing a method in future projects depending on requirements and needs.
PENGARUH MUTU PELAYANAN PERPUSTAKAAN TERHADAP KECEPATAN MEMPEROLEH INFORMASI BAHAN PUSTAKA BAGI MAHASISWA PRODI MPI ANGKATAN 2018 DI IAIN MADURA

Service is an activity whose implementation is carried out by holding relationships, both directly and indirectly. The service referred to here is how the service process is implemented and carried out in the library of IAIN Madura to facilitate information retrieval of library materials for students, especially MPI study program students in class 2018. This is evident from the results of statistical analysis showing that the work r 0.622 is consulted with product criticism moment at the value of N = 32 with the value "r" of work is greater than the "r" table of product moment both at 95% intervals and at 99% intervals where it shows a value of 0.349. Thus it can be said that there is a positive correlation between the two research variables. how big is the relationship between the quality of library services to the speed of obtaining library material information for MPI study program batch 2018 in Madura IAIN r work is consulted with a product moment correlation interpretation table, where r work is in the range of values between 0.600 to 0.800 which means the second correlation or urgency the variable is at a sufficient level of significance.
Firefighters are Heroes of Modern Age

Fire is an uncontrolled combustion that causes material damage and endangers human lives. Combustion is a chemical process that causes the oxidation of the fuel constituents of a some kind fuel. It is a process between fuel and oxidants in which heat is generated due to changes in chemical constituents. By releasing heat, it may occur light in the form of annealing or flame. There are accidental and arson fires. This work is dedicated to all firefighters in the world who very often find themselves in situations where they save the lives of others while neglecting their own safety. Firefighters are the heroes of modern times.
Modeling Methods in Clustering Analysis for Time Series Data

This paper is concerned about studying modeling-based methods in cluster analysis to classify data elements into clusters and thus dealing with time series in view of this classification to choose the appropriate mixed model.The mixture-model cluster analysis technique under different covariance structures of the component densities is presented.This model is used to capture the compactness, orientation, shape, and the volume of component clusters in one expert system to handle Gaussian high dimensional heterogeneous data set.To achieve flexibility in currently practiced cluster analysis techniques.The Expectation-Maximization (EM) algorithm is considered to estimate the parameter of the covariance matrix.To judge the goodness of the models, some criteria are used.These criteria are for the covariance matrix produced by the simulation.These models have not been tackled in previous studies.The results showed the superiority criterion ICOMP PEU to other criteria.This is in addition to the success of the model based on Gaussian clusters in the prediction by using covariance matrices used in this study.The study also found the possibility of determining the optimal number of clusters by choosing the number of clusters corresponding to lower values for the different criteria used in the study.
Pengaruh Keterlibatan, Kemampuan Teknis, dan Pelatihan Kerja Pemakai pada Kinerja Sistem Informasi Akuntansi

The purpose of this study was to determine the Effect of Engagement, Technical Capability, and User Job Training on Accounting Information System Performance. This research was conducted at the Department of Industry and Trade Denpasar City. The number of respondents was 50 respondents, with non-probability sampling method. The analysis technique used is multiple linear regression analysis techniques. The analysis shows that the involvement, technical ability, and work training of users has a positive effect on the performance of accounting information systems. This shows that the higher the involvement of users, technical capabilities, and job training owned by Denpasar City Industry and Trade staff the performance of the accounting information system produced will increase.&#x0D; Keywords: User Involvement; User Technical Capability; User Job Training; Accounting Information System Performance.
Research on the Construction of Chinese Song Hierarchical Database Oriented to Chinese Teaching

As a critical auxiliary method in teaching Chinese as a foreign language, Chinese songs have the characteristics of a strong sense of rhythm, extensive vocabulary, and rich cultural knowledge. Previous studies have mostly discussed the use of Chinese songs in Chinese teaching from the perspective of teaching methods, teaching experiment design and textbooks. There is no specific research on the construction of a database of Chinese song ratings for Chinese learners of different levels. Based on Internet resources, this study collected 9098 Chinese song lyrics and built a database. Based on the analysis of the characteristic data in the database and the method of building a vector space model, four songs of different difficulty levels were divided, which was respectively targeted at Chinese learners of different levels. This research can reduce Chinese teachers 'lesson preparation time and improve teachers' teaching efficiency.
Curriculum learning for multilevel budgeted combinatorial problems

Learning heuristics for combinatorial optimization problems through graph neural networks have recently shown promising results on some classic NP-hard problems. These are single-level optimization problems with only one player. Multilevel combinatorial optimization problems are their generalization, encompassing situations with multiple players taking decisions sequentially. By framing them in a multi-agent reinforcement learning setting, we devise a value-based method to learn to solve multilevel budgeted combinatorial problems involving two players in a zero-sum game over a graph. Our framework is based on a simple curriculum: if an agent knows how to estimate the value of instances with budgets up to $B$, then solving instances with budget $B+1$ can be done in polynomial time regardless of the direction of the optimization by checking the value of every possible afterstate. Thus, in a bottom-up approach, we generate datasets of heuristically solved instances with increasingly larger budgets to train our agent. We report results close to optimality on graphs up to $100$ nodes and a $185 \times$ speedup on average compared to the quickest exact solver known for the Multilevel Critical Node problem, a max-min-max trilevel problem that has been shown to be at least $\Sigma_2^p$-hard.
Parallel Algorithm for Electromagnetic Field Computation Based on Particle Simulation Algorithm

Abstract Based on current serial algorithms for electromagnetic field computation, the parallel algorithm concept where the “divide and conquer” approach is adopted has designed and implemented electromagnetic field computation in 3D rectangular coordinates, cylindrical coordinates and polar coordinates of CHIPIC software. The speedup ratio of the parallel algorithm is analyzed. Finally, the correctness and efficiency of the algorithm are verified through case studies.
The Use Of E-Sabak In Mathematics Learning To Optimize Higher-Order Thinking Skills

This study aims to describe the using of e-sabak in optimizing the higher-order thinking skills in mathematics learning. The obtaining data on the description of mathematics learning through the use of e-sabak in optimizing higher-order thinking skills, this research applied a qualitative approach with a descriptive method. The research instrument utilized observation and documentation guidelines to photograph mathematics learning in optimizing the ability to think at a higher level through the use of e-sabak in fourth-grade students at SDN Pondok Petir 01, Depok City. The results showed: (1) students were happy with new experiences in the use of e-sabak; (2) the use of e-sabak devices can optimize the ability of students to analyze and evaluate phenomena through observation by capturing them using e-sabak; (3) teacher provided the ways of communicating observations in front of the class to students; (4) the ability of students to create a problem-solving context still needs to be optimized through the praxis of learning in the classroom context. This study concluded that the e-sabak device helps the implementation of mathematics teaching to maximize the ability of high-level thinking students in fourth grade SDN Pondok Petir 01, Depok City.
Effect of Selected Macroeconomic Variables on the Profitability of Deposit Money Banks in Nigeria: 2007-2018

This study examines the effect of selected macroeconomic variables on the profitability of deposit money banks in Nigeria. The study is based on the arbitrage pricing theory (APT) propounded by Ross (1976) and secondary data was used for the study. The hypotheses were tested using the OLS multiple regression analysis and results reveal that, Interest rate (H01) with B = -0.254, t = -0.237, p = .819; Exchange rate (H02) with B = -0.076, t = -2.093, p = .075 Gross domestic product (H03) with B = 0.643, t = 0.545, p = .602 and Inflation rate (H04) with B = 0.182, t = 0.343, p = .743 are not significant predictor of Net interest margin. The implication is that, the selected macroeconomic variables are not a significant predictor of deposit money bank profitability for the period of study.
LOCAL WISDOM FOLKLORE FOR LITERARY LEARNING IN ELEMENTARY SCHOOL

Community literacy in the 21st century is a marker for the occurrence of changes in human resources. Seen from the community behavior change that leads to a crisis of morals and the morals of a man. The necessity of introduction of luhurdan wisdom values can be adopted from the penenalan the various literary works. Later literary works can be used as learning materials in elementary school. One folk story as cultural products at once literary texts can be used as a medium to reflect the culture of the people. Through the charge contained in the literary text is expected to be the start of a revival for fixing the crisis of morality and ethics. As well as embody the formation of mental and intellectual activities read, write melaluia feathered Bob, an increased sense of humanity and social care, the growth of cultural appreciation, channelling ideas, growth of imagination, as well as an increase in creative and constructive expression.
Robust Learning with Frequency Domain Regularization

Convolution neural networks have achieved remarkable performance in many tasks of computing vision. However, CNN tends to bias to low frequency components. They prioritize capturing low frequency patterns which lead them fail when suffering from application scenario transformation. While adversarial example implies the model is very sensitive to high frequency perturbations. In this paper, we introduce a new regularization method by constraining the frequency spectra of the filter of the model. Different from band-limit training, our method considers the valid frequency range probably entangles in different layers rather than continuous and trains the valid frequency range end-to-end by backpropagation. We demonstrate the effectiveness of our regularization by (1) defensing to adversarial perturbations; (2) reducing the generalization gap in different architecture; (3) improving the generalization ability in transfer learning scenario without fine-tune.
Document Classification Method based on Graphs and Concepts of Non-rigid 3D Models Approach

Text document classification is an important research topic in the field of information retrieval, and so it is how we represent the information extracted from the documents to be classified.There exists document classification methods and techniques based on the vector space model, which doesn't capture the relation between words, which is considered of importance to make a better comparison and therefore classification.For this reason, two significant contributions were made, the first one is the way to create the feature vector for document comparison, which uses adapted concepts of non-rigid 3D models comparison and graphs as a data structure to represent such documents.The second contribution is the classification method itself, which uses the representative feature vectors of each category to classify new documents.
What Will Help the Teacher to Prepare Students in Successfully Solving PISA Assignments

Modern life sets its priorities: not a simple knowledge of facts, not skills as such, but the ability to use what is acquired; not the amount of information, but the ability to get it and model; not consumerism, but creation and cooperation. Possession of these competencies by fifteen-year-old students is assessed in the international PISA study.&#x0D; To solve one of the key tasks of the national project "Education" - by 2024 to enter the TOP-10 countries in the quality of general education, it is important to answer the question: What should a teacher know and be able to prepare students for successful solution of PISA tasks?&#x0D; The article discusses the main approaches to assessing the functional literacy of students in the framework of the international PISA study, reveals the features and key characteristics of the competencies of each of the main areas of the PISA study. Methodological approaches to prepare students for solving PISA tasks in the classroom and extracurricular activities are given.&#x0D; The author focuses teachers on the necessary to master of certain professional competencies.
Computer graphic production method using narrative technique -Artist’s identity and creative self-expression-

본 연구는 내러티브 기법을 활용한 컴퓨터그래픽 제작 방안에 관한 연구이다. 현대인들에게 컴퓨터는 하드웨어적인 기기와는 뗄 수 없는 불가분의 관계이다. 이에 시각디자인 역시 컴퓨터그래픽 수업이 이루어지고 있다. 컴퓨터그래픽은 디자이너의 의미전달에서 시작되기 때문에, 디자인의 목적과 의미를 비롯하여 정보전달의 기능적 요소와 더불어 예술적 감성까지 포함되어야 한다. 따라서 컴퓨터그래픽 제작은 디자이너의 아이디어가 창의적으로 구안되고 시각화되어야 한다. 본 연구에서는 내러티브 기법을 컴퓨터그래픽 디자인 제작에 접목시키는데 있다. 내러티브 기법은 컴퓨터그래픽 제작에 있어서 아이디어와 감성을 표현하는데 있어서 기술적 능력향상 뿐만 아니라 예술가로서의 정체성 확립과 창의적 자기표현을 할 수 있도록 한다.This study aims to understand computer graphic production method using the narrative technique. For modern people, computers are inseparable from hardware devices. Accordingly, visual design is also taught in computer graphic classes. Computer graphics begin with the meaning conveyed by a designer. So, the design must include the purpose and meaning as well as the functional elements of information transmission and artistic sensibility. Therefore, in computer graphic production, the designer’s ideas must be creatively designed and visualized. In this study, the narrative technique is applied to computer graphic design production. The narrative technique not only improves technical skills in expressing ideas and sensations using computer graphic, but also enables the establishment of identity as an artist and creative self-expression.