Reviewerly/exHarmony huggingface dataset:
Exploration of the Development Path of Youth Camp Education Based on the Background of the New Era

Education must advance with the times and meet the demands of the development of the times. Youth camp education has become a new hot spot for investment, research and discussion in my country. Camp education presents eight characteristics such as fun, openness, and contextuality. It has the functions of sharpening the will, cultivating team spirit and innovative thinking for young people, and can complement school education. The development process of youth camp education in my country can be divided into three stages: budding and preparation, growth, and rapid development. The development of youth camp education in my country in the new era should focus on the following strategies: First, learn new ideas to make camp education more attractive; second, facing the new situation, owning a camp is the most critical; third, developing new courses and building a first-class teacher team.
Federal educational and methodological associations in secondary vocational education: realities and prospects

Considered the experience of federal educational and methodological associations in the system of secondary vocational education for enlarged groups of professions, specialties created in 2015 by the Ministry of Education and Science of the Russian Federation The main objects of their activity are federal state educational standards, sample programs, quality assurance and development of the content of secondary vocational education, professional improvement of the activities of scientific and pedagogical workers. They showed the formation of a new project team. It is important to collect all railway specialties in one group to ensure the unity of approaches in the development of the content of federal state educational standards of secondary vocational education of secondary vocational education, exemplary educational programs and examination of their content, as well as to improve the quality of educational content and continuity with higher education. The corresponding specialties of higher education are included in one group 23.00.00 “Engineering and technology of ground transport”. Federal educational and methodological associations in the system of secondary vocational education provide expert services in the field of their activities. For this, an Expert Council has been created. The composition of the Expert Council is formed from the number of teachers of educational institutions of open source education. In total, during the work of the Expert Council, more than 130 examinations of educational publications on road and rail transport have been carried out.
Integer Programming from Quantum Annealing and Open Quantum Systems

While quantum computing proposes promising solutions to computational problems not accessible with classical approaches, due to current hardware constraints, most quantum algorithms are not yet capable of computing systems of practical relevance, and classical counterparts outperform them. To practically benefit from quantum architecture, one has to identify problems and algorithms with favorable scaling and improve on corresponding limitations depending on available hardware. For this reason, we developed an algorithm that solves integer linear programming problems, a classically NP-hard problem, on a quantum annealer, and investigated problem and hardware-specific limitations. This work presents the formalism of how to map ILP problems to the annealing architectures, how to systematically improve computations utilizing optimized anneal schedules, and models the anneal process through a simulation. It illustrates the effects of decoherence and many body localization for the minimum dominating set problem, and compares annealing results against numerical simulations of the quantum architecture. We find that the algorithm outperforms random guessing but is limited to small problems and that annealing schedules can be adjusted to reduce the effects of decoherence. Simulations qualitatively reproduce algorithmic improvements of the modified annealing schedule, suggesting the improvements have origins from quantum effects.
A Proposed Conceptual Framework for Blockchain Systems

Across organisations data exchange is a topic of increasing interest. Blockchain technology is a promising technology for this management problem. Understanding the technology requires an understanding of the vocabulary related to blockchain systems and blockchain technology. The aim of this paper is to develop vocabulary and definitions for blockchain system, blockchain system type, blockchain system functional characteristics, blockchain subtype, blockchain system non-functional characteristics, blockchain system application area and governance of blockchain systems. This research is done by a systematic literature review and a systematic mapping study to identify vocabulary for defining a proposed conceptual framework for blockchain systems. None of the definitions have yet been used. As such, more work has to be done before actual implementations of putting such technology in a real life setting.
Exploring Reading Strategy Use in Native and L2 Readers.

Research comparing the reading strategy use of native and second language (L2) readers has often relied on self-report measures and has, at times, been conducted without measures of reading profici...
Stochastic SPG with Minibatches

Stochastic optimization lies at the core of most statistical learning models. The recent great development of stochastic algorithmic tools focused significantly onto proximal gradient iterations, in order to find an efficient approach for nonsmooth (composite) population risk functions. The complexity of finding optimal predictors by minimizing regularized risk is largely understood for simple regularizations such as \(\ell _1/\ell _2\) norms. However, more complex properties desired for the predictor necessitates highly difficult regularizers as used in grouped lasso or graph trend filtering. In this chapter we develop and analyze minibatch variants of stochastic proximal gradient algorithm for general composite objective functions with stochastic nonsmooth components. We provide iteration complexity for constant and variable stepsize policies stating that \(\epsilon \)–suboptimality is attained in expected quadratic distance to optimal solution, after \(\mathcal {O}({1}/{N\epsilon })\) iterations, for a constant minibatch size N. The numerical tests on \(\ell _2\)–regularized SVMs and parametric sparse representation problems confirm the theoretical behaviour and surpasses minibatch SGD performance.
The effective algorithms for estimating the signal and image shift

Abstract In the paper, there are introduced simple algorithms for the estimation of the shift parameter of signals and images synthesized by means of the spectral analysis carried out in the various orthogonal bases formed by the polynomials. It is demonstrated that the resulting estimates are asymptotically unbiased and consistent, and it is proved that they can be implemented using modern digital equipment.
Towards the EU Directive on copyright in the Digital Single Market: from the hosting provider liability in the <i>RTI/Yahoo</i> case to its critical implementation in Italy

The internet and its ecosystem form an ever-evolving landscape in which content producers and content users are constantly involved in unstoppable technological innovation. Rightholders see the digital environment as a double-edged sword: on the one hand, they can benefit from a potential worldwide shop window that provides them with more customers than ever before; on the other hand, the dematerialization of content presents protection and enforcement issues. To date online intermediaries have played a key role in the online copyright ecosystem. However, certain intermediaries, including hosting providers, can be exempted from liability—through the so-called safe harbour system—for the hosting of infringing content uploaded by users of their service if they satisfy the conditions established in Article 14 of the E-commerce Directive 2000/31 (‘E-commerce Directive’).1 The growing power acquired by internet giants shows the need for a new legal framework that could balance the multiple interests at stake. It is worth noting that with each stage of technological development—from typewriter to xerox machines to computers—copyright laws, in their constant evolution, have intervened to adapt authors’ rights to the new realities, reshaping traditional business models accordingly. Hence a provocative question: will copyright rise once again to the most recent challenges of the digital age or will the new digital technologies overwhelm the current copyright system?
Using Under-trained Deep Ensembles to Learn Under Extreme Label Noise.

Improper or erroneous labelling can pose a hindrance to reliable generalization for supervised learning. This can have negative consequences, especially for critical fields such as healthcare. We propose an effective new approach for learning under extreme label noise, based on under-trained deep ensembles. Each ensemble member is trained with a subset of the training data, to acquire a general overview of the decision boundary separation, without focusing on potentially erroneous details. The accumulated knowledge of the ensemble is combined to form new labels, that determine a better class separation than the original labels. A new model is trained with these labels to generalize reliably despite the label noise. We focus on a healthcare setting and extensively evaluate our approach on the task of sleep apnea detection. For comparison with related work, we additionally evaluate on the task of digit recognition. In our experiments, we observed performance improvement in accuracy from 6.7\% up-to 49.3\% for the task of digit classification and in kappa from 0.02 up-to 0.55 for the task of sleep apnea detection.
Preventive cybercrime and cybercrime by omission in China

In the face of rapidly growing cybercrime risks, the Chinese government enacted some omissions liability offences for internet service providers (ISP). It introduced some new pre-inchoate offences for individual offenders. This chapter examines the cyberspace principles enshrined in the Cyber Security Law in China to try to ascertain whether they are apt for solving the particular cybercrime problems that they are designed to stem. The new forms of cybercrimes in China are omissions offences for ISP based on the fact that ISPs might not invest properly in security and retain data that may be needed for solving crimes. Criminal law mainly aims at to attribute liability for past wrongdoing so that a person can be appropriately punished. There has been a move toward preventive criminalisation to deter harm before it is attempted or done. The general principle of bearing responsibility solely for one’s own wrongdoing requires that citizens ought only to be held criminally responsible for their own actions.
LibGuides: Curbside Services and Requesting Library Items: Step 1: Request Library Items

This guide will outline the process on how to request library items and schedule a curbside pickup once ready.
Selection factors determining the Hybrid Approach: A Benchmark Study

The choice of methodology for information system development (ISD) is a significant question faced by information systems (IS) professionals. A sizable body of research details the agile and traditional approaches independently. The choice of approach holds no universal agreement. A hybrid approach combines agile and traditional techniques, implementing multiple methods within one approach. The contextual analysis identified that the hybrid approach is attaining popularity. The investigation of factors ensure an informed, and justified approach can be selected. Prior research debates company culture, individual choice, and natural evolution as selection factors. Researchers have identified the need to find additional factors. This study proposes a design to identify the factors influencing the selection of hybrid. This research will be the first within the field to examine these factors in an Australian context. A matrix in progress aids the purposeful selection of the hybrid approach.
LibGuides @ WRAIR: Web of Science: Introduction

A guide to searching Web of Science and its component databases, and retrieving its rich citation data for benchmarking and measuring research impact.
Tacoma Community College Library: Election 2020 : Thinking about campaign messaging

This is a guide to the 2020 General Election - what you need to know to vote, stay informed, and evaluate the news and messaging
Subject & Course Guides: OHIO Libraries 2020 Homecoming: Home

In this historic year, Ohio University Libraries invites students, alumni, and community members to participate in OHIO's first-ever virtual Homecoming celebration. In the tradition of Homecoming events of years past, our 2020 offerings aim to immerse par
Disruptive Impact of Digitalisation on Optical Technologies

There are many indications, that the 21st century will be the century of optics and photonics. In the last century, microelectronics established many technologies, which show increasing impact on the field of optical technologies like silicon photonics or optoelectronics. However, the success of microelectronics was accompanied by the rise of information technologies and their impact on the optical technologies could be even more significant. Digitalisation leads to many disruptive developments without classical predecessors.
The relational processing limits of classic and contemporary neural network models of language processing

Whether neural networks can capture relational knowledge is a matter of long-standing controversy. Recently, some researchers have argued that (1) classic connectionist models can handle relational...
PENERAPAN METODE ADAPTIVE NEURO FUZZY INFERENCE SYSTEM UNTUK PENENTUAN SISWA PENERIMA KARTU INDONESIA PINTAR

AbstractThe Smart Indonesia Card is part of President Joko Widodo's policy for vulnerable and poor poor families who want to provide good education to children without fees. The age of the child is borne by the cost of education is from the age of 6 to 18 years. With this KIP program, it is expected that the dropout rate it can go down drastically. Subjectivity can occur in decision making as a result of inaccurate data. So that there is unclear decision making based on the description, so we need a system to facilitate the determination of students who are entitled to use the Indonesia Smart Card where decisions are at school, the researchers use the Adaptive Neural Fuzzy Inference System (ANFIS) method to create a system after inputting data on certain variables which will result in whether students have the right to be considered for KIP or not. Tests show that the type of membership function with a hybrid algorithm with the input parameter trimf or triangle can produce the level of guess closest to the real conditions in the field, with Root Mean Square Error 9.6902e-007.
Preparation of excited states on a quantum computer

We study two different methods to prepare excited states on a quantum computer, a key initial step to study dynamics within linear response theory. The first method uses unitary evolution for a short time $T=\mathcal{O}(\sqrt{1-F})$ to approximate the action of an excitation operator $\hat{O}$ with fidelity $F$ and success probability $P\approx1-F$. The second method probabilistically applies the excitation operator using the Linear Combination of Unitaries (LCU) algorithm. We benchmark these techniques on emulated and real quantum devices, using a toy model for thermal neutron-proton capture. Despite its larger memory footprint, the LCU-based method is efficient even on current generation noisy devices and can be implemented at a lower gate cost than a naive analysis would suggest. These findings show that quantum techniques designed to achieve good asymptotic scaling on fault tolerant quantum devices might also provide practical benefits on devices with limited connectivity and gate fidelity.
Social media addresses illegal immigration

The study aimed to identify the social network handling to the issue of illegal immigration in the Arab world, and the extent of the interaction of tweeters with that, and to identify the nature of the tweets and associated material related to illegal immigration. This study belongs to descriptive research aimed at describing and analyzing the characteristics of covering the issue of illegal immigration through a social network (Twitter). The study relied on the survey method, and through it the sample survey method. The content analysis form was designed as a tool for the study. The study concluded several results, most notably: 18% of the tweets were news related to the prosecution of immigrants, and also showed that 45% of the tweeters via Twitter for issues related to illegal immigration by community activists. And that 31% of the tweets were personal blogs dealing with illegal immigration issues. The study came out with several recommendations, including: the need for all official and civil levels to contribute to explaining the danger of illegal people, and for the media to address illegal migration comprehensively, and to activate youth relations networks related to migration.
Design of Children’s Education Auxiliary System Based on CNN

With the country's emphasis on education, the average educational level of Chinese people is constantly improving, a growing number of families have realized the importance of early education. With the boom of "Internet + education" and the popularity of intelligent terminals, the development of early education began to enter the field of mobile applications. In recent years, artificial intelligence has been widely used in education by combining machine deep learning technology. This system combines CNN (Convolutional Neural networks, CNN) deep learning technology to design an early education auxiliary system for children. The technology and the accumulation of the amount of data by using CNN makes it a personalized early education assistant. Not only can solve the daily problems raised by children when they are studying together, but also provide parents with children's learning data and learning reports. This system is aimed to help children develop early learning ability and assist parents to provide personalized education programs for their children.
대학생의 스마트 학습관리시스템 수용에 대한 연구 - 블랙보드 도입과 활용 -

Contemporary University students are considered the Z generation who were born after 1995. They are more tech savvy than millennials. To target the generation, traditional class management platforms have evolved to smart LMS that is more customized and accessible for smart devices. Global level information search and collaboration can also be implemented using such smart LMS. However, switching from one LMS to another LMS requires great effort from teachers and support from staffs. This study measured the learners’ perception of the system when they were exposed to a new smart-LMS. Blackboard Learn Ultra was used for 15 weeks and at the end of the semester, a questionnaire was administered to the students of these classes. Results indicated that experience with previous LMS discouraged students from adopting Blackboard Learn. Result of TAM modeling indicated that perceived usefulness, compared to perceived ease of use and attitude, was an effective aspect to bring positive acceptance of the system. A qualitative approach and network analysis were also conducted based on students’ responses. Both positive and negative responses were detected. Inconvenience due to mechanical aspects was mentioned. Dissatisfaction compared to previous local LMS use was also mentioned. Mobile application and communication effectiveness were positive aspects. Revised course development and promoting how useful the system may help enhance the acceptance of the new system.
On the Relationship between Refactoring Actions and Bugs: A Differentiated Replication

Software refactoring aims at improving code quality while preserving the system's external behavior. Although in principle refactoring is a behavior-preserving activity, a study presented by Bavota et al. in 2012 reported the proneness of some refactoring actions (e.g., pull up method) to induce faults. The study was performed by mining refactoring activities and bugs from three systems. Taking profit of the advances made in the mining software repositories field (e.g., better tools to detect refactoring actions at commit-level granularity), we present a differentiated replication of the work by Bavota et al. in which we (i) overcome some of the weaknesses that affect their experimental design, (ii) answer the same research questions of the original study on a much larger dataset (3 vs 103 systems), and (iii) complement the quantitative analysis of the relationship between refactoring and bugs with a qualitative, manual inspection of commits aimed at verifying the extent to which refactoring actions trigger bug-fixing activities. The results of our quantitative analysis confirm the findings of the replicated study, while the qualitative analysis partially demystifies the role played by refactoring actions in the bug introduction.
Handwriting prototype based on FPGA hardware implementation

Handwriting is an important means of communication that can characterize a person and express his academic level, intellectual component, and even the psycho-physical personality of the writer, the temperamental tendencies, and even psychic state. Writing is expressed through motions of the upper limbs and with the availability of different muscle activities, named ElectroMyoGraphy signals (EMG). Forearm EMG driven models can allow reconstruction of individual handwriting. By recovering the coordinates of some shapes generated by a mathematical model allowing the prediction of handwriting on the plane (x, y) from EMG signals, this paper deals with handwriting prototype using hardware implementation based on Field Programmable Gate Arrays (FPGA) of the bi-axis control algorithm to generate human handwriting manuscript in the plan. The presented bi-axis control law is designed in the Xilinx System Generator environment let generate handwriting shapes and complex cursive letters. Comparative analysis between the hardware implementation results generated by the proposed prototype and the recorded data is then presented to show good concordance between the real and the reconstructed data.
High-dimensional quantum key distribution with statistical and intensity fluctuations

High-dimensional quantum key distribution (HD-QKD) can higher the secret-key capacity and tolerate more errors. Several HD-QKD experiments have been demonstrated over deployed fibers to show promising future toward high-dimensional quantum communication networks. However, the practical security of HD-QKD systems should be widely considered before large-scale application of HD-QKD systems. In this paper, we focus on the HD-QKD based on the dispersive optics (DO-QKD) with both statistical and intensity fluctuations. For the condition only with statistical fluctuations, we present the parameter estimation based on an improved Chernoff bound. When considering the condition with both statistical and intensity fluctuations, we present the parameter estimation based on Azuma’s inequality. By numerical simulations, we find that the parameter estimation for DO-QKD based on the improved Chernoff bound is tighter than the previous work in terms of the secret-key capacity and the maximum transmission distance. Moreover, we find that intensity fluctuations affect the performance of DO-QKD greatly and the effect on smaller data size is more obvious.