Reviewerly/exHarmony huggingface dataset:
Empirical Analysis of Stochastic Methods of Linear Algebra

In this paper we present the results of an empirical study of stochastic projection and stochastic gradient descent methods as means of obtaining approximate inverses and preconditioners for iterative methods. Results of numerical experiments are used to analyse scalability and overall suitability of the selected methods as practical tools for treatment of large linear systems of equations. The results are preliminary due to the code being not yet fully optimized.
Combining the Kalman Filter and Particle Filter in Object Tracking to Avoid Occlusion Problems

We propose a combination of algorithms called the Kalman particle filter (KPF)Kalman Particle Filter (KPF) that overcomes the object tracking occlusion problemOcclusion problem in image processing while also achieving a reasonable computation time. When object occlusion occurs while using a Kalman filter (KF)Kalman Filter (KF), we switch to the particle filter (PF)Particle Filter (PF) to track the object until the system is stable, and then switch back to the KF. We compared the results of running each algorithm (KF, PF, and KPF), independently, executed 30 times; the tracking performance was evaluated using six different methods. We found that KPF successfully addressed the occlusion problem, providing accurate estimates using highly efficient operations.
A User-centred Analysis of Explanations for a Multi-component Semantic Parser

This paper shows the preliminary results of an initial effort to analyse whether explanations associated with a semantic parser help users to generalise the system’s mechanisms regardless of their technical background. With the support of a user-centred experiment with 66 participants, we evaluated the user’s mental model by associating the linguistic features from a set of explanations to the system’s behaviour.
Solving Quadratic Assignment Problem Using Crow Search Algorithm in Accelerated Systems

The Quadratic Assignment problem (QAP) is one of the most studied optimization problem. Although many direct and heuristic methods are used to give the solution of QAP for small size instances in reasonable time but it takes huge time for large size instances. So, solving QAP in massively parallel architecture like Graphics processing unit (GPU) by applying a noble metaheuristics Crow Search Algorithm (CSA) can further optimize the solution and their execution time. So, in this paper we analyse the QAP in accelerated systems by using CSA metaheuristics and CSA performs approximately 10 times faster on GPU as compared to CPU.
DO INNOVATION AND ENTREPRENEURSHIP HAVE DOMINANT ROLES IN ECONOMIC GROWTH? A NEW PERSPECTIVE OF DEVELOPED COUNTRIES

Purpose of the study: The purpose of this paper is to analyze the potential causal link between innovation, entrepreneurship activity, and economic growth in the case of nine developed countries over the time-span ranging between 2001 and 2014. The research goal is to examine if the findings of this paper support the endogenous growth theory.&#x0D; Methodology: This paper has initially explored the stationary properties of the variables. Moreover, the causal links between the variables of interest have been investigated by estimating the panel VAR model (trivariate) employing the GMM framework. This paper also examines the potential causal linkage amid the variables of interest by employing the Granger causality test.&#x0D; Main Findings: Empirical results suggest that economic growth is found to Granger cause innovation and entrepreneurship activity. These findings emphasize the necessity to take both innovation and entrepreneurship while analyzing the determinants of economic growth since these are found to be interconnected and may play a critical role in the growth of the economy. These findings also support the endogenous growth.&#x0D; Applications of this study: Outcome of this paper is expected to provide significant insights for decision-makers to make a necessary effort not only to increase the start-up rates in developed countries but also to reduce the informal sector that is likely to occur as a result of start-ups in developing countries jeopardizing developed countries’ competitiveness.&#x0D; Novelty/Originality of this study: The first contribution of this study to the literature is the examination of cross-sectional dynamics of developed countries’ innovation, entrepreneurship, and economic growth. Secondly, these results indicate that entrepreneurial activity is a proximate cause and should be modelled as the channel through which innovation contributes to economic growth. Thirdly, the data used in this study are more comprehensive.
A study on the punctuation knowledge levels of freshmen students

The present study was conducted to determine the use of punctuation marks by freshmen college Turkish language course students whose native language was Turkish.The study is a quantitative study where descriptive techniques were used.The study group included 204 students (157 female and 57 male students).An anonymous short story text that did not include any punctuation marks was used as the data collection instrument.The original text included 8 punctuation marks used in different parts of the text.The data were obtained by asking students to rewrite the text based on composition rules and including the missing punctuation marks.T-test, One-Way ANOVA, Tukey HSD tests available on IBM SPSS Statistics 22 software were used in data analysis.The study findings demonstrated that students made several mistakes in all punctuation marks.The period was the only punctuation mark used correctly by the majority of students.The students made the most mistakes when using the dash (98.34%).Analysis of the findings based on student department, there was a difference in the use of exclamation marks only between PDR I. instruction 1/B and PDR II instruction 1/B classes.A significant difference was determined favoring the female students only between the use of quotation marks based on gender.
Seri, Bant Üretimin Mobilya Tasarım - Üretim Sürecine Etkisi Ve Modüler Mobilya

Providing the bond between space and user in daily life, furnitures form an irrevocable element both functional and aesthetical.Looking at the first furniture productions, they are seen as a component interfered with only to fulfill the needs.With changing needs and development of material uses, furnitures start to take shape and improve.The next phase they appear as time-taking hand made products produced by masterful experts.In this phase furniture is worth as ornaments passing down from generation to generation seen in spaces of kings, nobles and royals.It symbolizes social status and economical power.The owners prefer to display rather than to use.The process of furniture design and production comes off from appealing to certain groups with industrial revolution and mass production line, and become a production that can be reached by all people.Effecting many production ways in many fields, steam power developed in industrial revolution process and mass production line also effected furniture production process, which are so far
An Effective Algorithm for Denoising Salt-And-Pepper Noise in Real-Time

For computer vision systems to effectively perform diagnoses, identification, tracking, monitoring and surveillance, image data must be devoid of noise. Various types of noises such as Salt-and-pepper or Impulse, Gaussian, Shot, Quantization, Anisotropic, and Periodic noises corrupts images making it difficult to extract relevant information from them. This has led to a lot of proposed algorithms to help fix the problem. Among the proposed algorithms, the median filter has been successful in handling salt-and-pepper noise and preserving edges in images. However, its moderate to high running time and poor performance when images are corrupted with high densities of noise, has led to various proposed modifications of the median filter. The challenge observed with all these modifications is the trade-off between efficient running time and quality of denoised images. This paper proposes an algorithm that delivers quality denoised images in low running time. Two state-of-the-art algorithms are combined into one and a technique called Mid-Value-Decision-Median introduced into the proposed algorithm to deliver high quality denoised images in real-time. The proposed algorithm, High-Performance Modified Decision Based Median Filter (HPMDBMF) runs about 200 times faster than the state-of-the-art Modified Decision Based Median Filter (MDBMF) and still generate equivalent output.
Approaches to studying library collection quality

The quality of library collection is hard to evaluate due to its non-specificity and inconstancy, as well as due to the multiplicity of evaluation specifications. Besides, within the contemporary library collection studies, the concept of “library collection quality” does not correspond with criteria and indicators being suggested. To harmonize disparate requirements and quality specifications, the author applies the polysystem approach which contemplates examining collections as an element of larger systems. Each system, with its own goals, structure and functions, offers its specific requirements. The quality of library collections is analyzed from the viewpoint of structural and functional, technological, marketing, regionological, and culturological approaches. Within every macrosystem, structural elements are defined; their impact upon library collection quality is discussed. The social systems of greater global character (culture, region, market) put forward the requirements reflecting the needs and expectations of the society on the whole, regional communities and individual consumers, correspondingly. These requirements differ depending on the collections, library type and subordination, its goals and strategies and are specified in the library collection models — used as guidelines for designing the library’s technological system. Developing the quality indicators systems for each type of collection interaction within the macrosystems for every library type should become the next stage of library collection quality studies.
A Double Adversarial Network Model for Multi-Domain and Multi-Task Chinese Named Entity Recognition

Named Entity Recognition (NER) systems are often realized by supervised methods such as CRF and neural network methods, which require large annotated data. In some domains that small annotated training data is available, multi-domain or multi-task learning methods are often used. In this paper, we explore the methods that use news domain and Chinese Word Segmentation (CWS) task to improve the performance of Chinese named entity recognition in weibo domain. We first propose two baseline models combining multi-domain and multi-task information. The two baseline models share information between different domains and tasks through sharing parameters simply. Then, we propose a Double ADVersarial model (DoubADV model). The model uses two adversarial networks considering the shared and private features in different domains and tasks. Experimental results show that our DoubADV model outperforms other baseline models and achieves state-of-the-art performance compared with previous works in multi-domain and multi-task situation.
RESEARCH AND SIMULATION OF THE LOCAL NAVIGATION SYSTEM OF TERRESTRIAL MOBILE ROBOT

The algorithm of complex information processing in the local navigation system of a terrestrial mobile robot and its physical model is developed. Experimental researches of this physical model have been carried out, as a result of which qualitative characteristics of the developed local navigation system have been determined. The trajectory of the object, based on the calculated navigation parameters, has a configuration identical to the actually passed route (adequate functioning of the system as a course indicator). The error in determining the coordinates of an offline object has value 0.012t2 (1.2 m per 10 s) when moving linearly and 0.022t2 (2.2 m per 10 s) when maneuvering. The orientation angles are worked out with precision (0.1÷0.3)о for roll and pitch angles and (2÷3)о for the angle of the course. Precise characteristics of the developed physical model LNS for determining orientation angles and motion parameters МR similar to the passport serial data SINS, and in some cases due to navigation features МR show even better accuracy.
CAREER DIRECTION OF YOUNG PEOPLE FROM BIG AND SMALL RUSSIAN CITIES

The results of a study of the career orientation of university students from large and small Russian cities have been described. To conduct the study, methods were used to identify leading career orientations, the level of motivation for a career, career self-efficacy, and the projective method of “unfinished offers” was used. The differences in the career orientations of students have been presented, the features of self-efficacy, career motivation and individual ideas about it have been revealed. It has been concluded that students from large and small cities are not aimed at developing their professional competence, first of all, they are focused on “autonomy”, “management” and “stability of work”. There are significant differences in career orientations: students from big cities are more focused on “service” and “integration of life styles”. The indicators of career motivation and self-efficacy of students from small and large cities are similar and correspond to the average level. The perceptions of students from small towns about a career have both positive and negative connotations, in contrast to students from large cities who do not note a negative attitude towards career.
Comparative Analysis of Website Usability Between United States and Japan

The aim of this study is to reveal differences of web design from the viewpoint of usability between United States and Japan that have different cultures and design preferences. Nine companies that had websites for their local offices in both United States and Japan were selected for the survey of this study. To compare the usability between United States and Japanese websites, heuristics evaluation was performed by the authors. The authors attempted to find the usability drawbacks from four to six pages including the top page in each company’s website. The total number of usability drawbacks that was identified in the United States and Japanese websites was compared. As the result of the t-test, the usability drawbacks that were observed in the Japanese websites were more than those in the United States websites. The ratio of each of the ten usability heuristics was compared between the United States and Japanese websites. Compared with the United States websites, the Japanese websites had more “aesthetic and minimalist design” drawbacks.
[Spatial Distribution Characteristics and Pollution Assessment of Heavy Metals on Farmland of Geochemical Anomaly Area in Southwest Guangxi].

To understand spatial distribution characteristics and pollution status of Cd, Cu, Ni, Pb, and Zn in soils within geochemical anomaly areas in southwestern Guangxi, 256 natural and farmland soils were collected, and heavy metal contents in soils were analyzed. The results show the following:① The background values of Cd, Cu, Ni, Pb, and Zn in natural soils were 0.890, 32.58, 51.50, 55.57, and 168.1 mg·kg-1, respectively. The pH value of farmland soil (n=193) ranged from 4.8 to 7.9. The geometric mean values of Cd, Cu, Ni, Pb, and Zn were 0.637, 30.76, 27.04, 39.59, and 123.9 mg·kg-1, respectively. ② Kriging interpolation results showed that the spatial distribution characteristics of Cd, Ni, Pb, and Zn in farmland soils were similar, and high-content areas were mainly concentrated in Chongzuo-Longzhou area. The highest content of Cu was found in Tianlin County, Lingyun County, Baise City, and Tianyang County. ③ Taking the "Standard for Risk Control of Soil Pollution in Agricultural Land of Soil Environmental Quality" (GB 15618-2018) and soil baseline values as evaluation criteria, the above-standard rates of Cd, Cu, Ni, Pb, and Zn in farmland were 57.5%, 6.2%, 0.5%, 3.6%, 10.9%, and 4.1%, 14.0%, 0.5%, 2.1%, and 2.1%, respectively. The comprehensive pollution index shows that Tiandeng County, Longan County, Daxin County, Longzhou County, and Chongzuo City have severe combined pollution characteristics. The most important reason behind the high background value (particularly the Cd element) in the geochemical anomaly area of southwestern Guangxi is that the topography of the study area is complex, and the types of heavy metal deposits are numerous, which means that the parent material (rock) itself has a high content of heavy metals, which is weathered into soil. This soil inherits heavy metals from the parent material (rock).
An Exploratory Physical Computing Toolkit for Rapid Exploration and Co-Design of On-Bicycle Notification Interfaces

Cycling offers significant health and environmental benefits, but safety remains a critical issue. We need better tools and design processes to develop on-bicycle notification interfaces, for example, for hazard warnings, and to overcome design challenges associated with the cycling context. We present a physical computing toolkit that supports the rapid exploration and co-design of on-bicycle interfaces. Physical plug-and-play interaction modules controlled by an orchestration interface allow participants to explore different tangible and ambient interaction approaches on a budget cycling simulator. The toolkit was assessed by analysing video recordings of two group design workshops (N=8) and twelve individual design sessions (N=12). Our results show that the toolkit enabled flexible transitions between ideation and out-of-the-box thinking, prototyping, and immediate evaluation. We offer insights on how to design physical computing toolkits that offer low-cost, 'good enough' simulation while allowing for free and safe exploration of on-bicycle notification interfaces.
Verifying Faradžev-Read Type Isomorph-Free Exhaustive Generation

Many applications require generating catalogues of combinatorial objects, that do not contain isomorphs. Several efficient abstract schemes for this problem exist. One is described independently by I. A. Faradžev and R. C. Read and has since been applied to catalogue many different combinatorial structures. We present an Isabelle/HOL verification of this abstract scheme. To show its practicality, we instantiate it on two concrete problems: enumerating digraphs and enumerating union-closed families of sets. In the second example abstract algorithm specification is refined to an implementation that can quite efficiently enumerate all canonical union-closed families over a six element universe (there is more than 100 million such families).
Impossible Differential Cryptanalysis of Reduced-Round Tweakable TWINE

Tweakable TWINE (T-TWINE) is a new lightweight tweakable block cipher family proposed by Sakamoto et al. at IWSEC 2019. T-TWINE is the first Tweakable Block Cipher (TBC) that is built on Generalized Feistel Structure (GFS). It is based on the TWINE block cipher in addition to a simple tweak scheduling based on SKINNY’s tweakey schedule. Similar to TWINE, it has two versions, namely, T-TWINE-80 and T-TWINE-128, both have a block length of 64 bits and employ keys of length 80 and 128 bits, respectively. In this paper, we present impossible differential attacks against reduced-round versions of T-TWINE-80 and T-TWINE-128. First, we present an 18-round impossible differential distinguisher against T-TWINE. Then, using this distinguisher, we attack 25 and 27 rounds of T-TWINE-80 and T-TWINE-128, respectively.
Modern technologies for creating graphical user interface in web applications

The goal of the article is to compare the three most commonly used tools for creating a graphical user interface in web applications. The analysis was carried out for the currently most popular tools: Angular, React and Vue. Test applications with identical user interface, implemented in three technologies, were used for the research. The article compares, above all, the performance related to page loading time and memory usage.
Research on the Monitoring and Response Mechanism of Earthquake Public Opinion

Abstract Earthquake public opinion along with the development of online media platforms has become an important part of earthquake public opinion monitoring. In order to strengthen the monitoring of public opinion on the seismic network, scientifically respond to the public opinion on the seismic network, and effectively disseminate seismic information, we analyze the content of the public opinion on the seismic network, the characteristics of the public opinion, the monitoring of the public opinion, and the response mechanism of the public opinion on the earthquake.
Multi-granularity Complex Network Representation Learning

Network representation learning aims to learn the low dimensional vector of the nodes in a network while maintaining the inherent properties of the original information. Existing algorithms focus on the single coarse-grained topology of nodes or text information alone, which cannot describe complex information networks. However, node structure and attribution are interdependent, indecomposable. Therefore, it is essential to learn the representation of node based on both the topological structure and node additional attributes. In this paper, we propose a multi-granularity complex network representation learning model (MNRL), which integrates topological structure and additional information at the same time, and presents these fused information learning into the same granularity semantic space that through fine-to-coarse to refine the complex network. Experiments show that our method can not only capture indecomposable multi-granularity information, but also retain various potential similarities of both topology and node attributes. It has achieved effective results in the downstream work of node classification and the link prediction on real-world datasets.
Five years of cyber security education reform in China

China’s ambition to become a cyber power, declared in 2014, has led to reforms in cyber security education policy. There have been several important measures, but more time will be needed for them to have much effect. The challenges for the country are magnified by its massive population scale and its level of development relative to advanced economies, especially the United States. Chinese leaders in government, business and academia see the country’s state of development in this field as weak. Numerous sources attest to this. The chapter reviews reform measures, particularly in universities since the Chinese government regards this as the foundation for change. A 2018 study is updated. The chapter notes two trends since then: more attention to artificial intelligence as an important area of education policy for information security; and some embryonic recognition that recourse to foreign talents may have to be a larger part of China’s policy mix than has been acknowledged to date. The country’s education policies in this field recognise some of the issues raised by other chapters in this volume, such as the need for multidisciplinary approaches and more attention to social science approaches, including management and psychology. Yet such influences have not penetrated deeply into China’s education system for cyber security.
Weak measurement induced asymmetric quantum cloning

Abstract Asymmetric quantum cloning (QC) is important for eavesdropping due to non-cloning quantum theorem. In this paper we propose a method to produce an asymmetric QC using weak measurement. Compared with previous proposals (1999 Phys. Rev. A 60 2764, 2004 Phy.s Rev. A 69 062316), the fidelity of one copy can be improved, while the other one reduces more smoothly. Also, the average fidelity of two copies can be raised.