Reviewerly/exHarmony huggingface dataset:
Key Variable Screening Method for Complex Industry System Based on Muti-source Monitoring Data

Abstract Aiming at the problem that the value density of variables in the state-aware network of complex industry system is low, which leads to poor timeliness of state evaluation, a key variable screening method for state-aware network is proposed. Firstly, a causal network model that can accurately reflect the interaction mode between the monitoring variables of the system is established. Secondly, each node of the causal network can be ranked by the LeaderRank algorithm and the variable set can be divided into multiple sets of variables. Finally, each variable set can be used to evaluate the performance state of the system, and the effectiveness index of variable screening is constructed to evaluate the accuracy and timeliness of the evaluation results of each variable set, then the key variables can be obtained. The Tennessee Eastman (TE) process data is used to test the proposed method, the result shows that the key variables obtained by the method can effectively improve the evaluation efficiency of the performance state.
A MODEL OF THE DISTANCE LEARNING COURSE «PHYSICAL TRAINING AND SPORTS»

Federal State Budgetary Educational Institution of Higher Education «Petrozavodsk State University (RUSSIAN FEDERATION)
The Effect of Oxytocin and Endorphin Massage to Uterine Involution in Post-Partum Mothers: A Literature Review

Post-partum is the period during which the internal and external reproduction organs will gradually return to their pre-pregnancy state. Uterine involution or uterine contraction is a process in which the uterus returns to its pre-pregnancy state weighing about 60 grams. The process of uterine involution is influenced by uterine contractions which are stimulated by the oxytocin hormone, a process which can be facilitated by a combination of oxytocin and endorphin massage. With the release of endorphins, the mother will feel more comfortable and the oxytocin hormone can be stimulated, so that uterine contractions can work normally and increase the process of uterine involution. This study involves a literature review which aimed to summarize the results of studies which explain that the effect of oxytocin and endorphin massage to uterine involution in postpartum. The data was collected from Pubmed and Google Scholar databases with these keywords: combination of oxytocin and endorphine massage; uterine involution; and maternal postpartum. Only 3 journals had the required inclusion criteria. The results showed that the combination of oxytocin massage and endorphin massage was effective in reducing the height of uterine fun in post-partum mothers. The combination of oxytocin massage and endorphin massage can be developed for increasing uteri involution.&#x0D; &#x0D; Keywords: Combination, oxytocin and endorphin massage, uterine involution, postpartum
On the k-Error Linear Complexities of De Bruijn Sequences

We study the k-error linear complexities of de Bruijn sequences. Let n be a positive integer and k be an integer less than $$\lceil \frac{2^{n-1}}{n}\rceil $$ . We show that the k-error linear complexity of a de Bruijn sequence of order n is greater than or equal to $$2^{n-1}+1$$ , which implies that de Bruijn sequences have good randomness property with respect to the k-error linear complexity. We also study the compactness of some related bounds, and prove that in the case that $$n\ge 4$$ and n is a power of 2, there always exists a de Bruijn of order n such that the Hamming weight of $$L(\mathbf {s})\oplus R(\mathbf {s})$$ is $$\frac{2^{n-1}}{n}$$ , where $$L(\mathbf {s})$$ and $$R(\mathbf {s})$$ denote respectively the left half and right half of one period of this de Bruijn sequence. Besides, some experimental results are provided for the case that n is not a power of 2.
International Anti-Money Laundering Regulations Through the Prism of Financial Inclusion and Competition

The last three decades have been marked by a battle with money laundering, tax evasion, and even though not strictly illegal, but no less harmful, tax avoidance after the boom in those legal and accountancy services back in the 1980s. The methods that national, international, and supranational organization have used range from doctrinal soft power to outright bullying, which were supported by their apologists for the sake of the common good. Yet the policies implemented so far have somehow not addressed the lack of theoretical and practical application of ‘inclusion’ and ‘equality’ into their framework. The same three decades have been characterized by the ever-growing wealth gap and the concentration of capital in the hands of the minority, whose prerogative, as pointed out by Gabriel Zucman in his classical work ‘The Hidden Wealth of Nations’ (2015), remains to preserve that wealth in their hands through whichever means necessary. The article researches into the implementation methods of anti-money launder-Ing (AML) regulations, their long-term effects in developing economies, and the restrictive effects in relation to financial inclusion, the marginalized population in developing economies, and the application of the European Union’s principles and laws on competition.
Research on the Reform Path of the Class Teaching Informatization in Post-Epidemic Period

From the perspective of the online teaching interaction of teachers during the epidemic period in W university, the relevant data of teachers' interactive activities such as releasing courses and exercise resources, releasing check-in, discussions, announcements and questionnaires on the online teaching platform are collected in this paper. They are analyzed by the relevant statistical analysis method of spss23 to gain an objective understanding of the current situation of online teaching. Based on them, the path model of constructing information reform of class teaching is also explored to provide the reference in the post-epidemic period for the normalization of online teaching.
Lexical Acquisition Through Symbol Recirculation in Distributed Connectionist Networks

1 Symbolic and distributed connectionist systems live in distinct processing niches. Symbolic systems supply variables, bindings, logical rules, constituent structure, tokens (versus types), hierarchies and inheritance. In contrast, distributed connectionist systems supply statistically based associations, reconstructive memories, graceful error degradation, automatic category and prototype formation, and generalization to novel instances. Clearly, a synthesis is desirable and this chapter describes a technique, called symbol recirculation, for automatically forming lexical representations as patterns of activation distributed over ensembles of connectionist units. To show the potential for natural language processing with these distributed symbols, two script-based natural language comprehension and para-phrasing systems are briefly described, each using lexical entries formed through symbol recirculation.
AWN-similarity: Towards developing free open-source frameworks for measuring Arabic semantic similarity under Windows / Linux operating systems

Arabic is a highly systematic language where its words exhibit elegant and rigorous logic. The field of Arabic word semantic similarity becomes more challenging due to its higher complexity and subtlety. This research is concerned with investigating the development of free open-source frameworks containing packages to calculate the semantic similarity between two Arabic words or concepts. These packages are known as AWN-ConceptSimilarity and AWN-WordSimilarity. The developed packages implement seven semantic similarity algorithms. One of these algorithms was proposed for Arabic and the rest were proposed for English where successfully adapted to Arabic using an Arabic lexical database, Arabic wordnet.The functionality of the developed packages is validated using two-word similarity benchmarks datasets previously produced for Arabic. The results of the validation process indicate that the developed frameworks represent an important contribution to the Arabic semantic similarity field. Moreover, the developed packages are reliable to use and embed them with Arabic researchers' projects for improving or comparing their methodologies.
The Effect of Audit Specialist of Information System on Audit Risk: Evidence from Korea

Purpose – The purpose of this study is to analyze the influence of IS audit time variables using accrual quality as a proxy for audit risk.Design/methodology/approach – The sample population of this study includes the firms that publicly noticed the special auditor time of IS from 2014 to 2017.Findings – In the case of the absolute value of discretionary accrual quality by the dependent variable is found to be significant. Based on the main variables of IS audit (In), the audit specialist time of IS is found to be significantly and negatively influential. This means that a rise in the audit specialist time of IS significantly negative influences the absolute value of accrual quality and thereby reduces audit risk.Research implications or Originality – This study is meaningful in that it researches empirically the effect of IS audit time on audit risk in a situation where the importance of IS audit is emphasized. This study suggests that it is sustainable to enhance the professionalism of IS audit to respond to the rapidly changing auditing market along with the development of IT.
Meios de investigação e produção de provas nos crimes cibernéticos

Law always follows the evolution and revolution of history, and it would be no different with the globalization that emerged after the advent of the Internet. As will be presented in this paper with potential - exponential - the crime phenomenon perpetrated through anarchic cyberspace. For this reason, it is necessary for Law to adapt to our new digital and online reality. The object of this study is to present a weakness of the means of investigation in criminal matters andproduction of digital evidence, as they are: volatile, dispersed and immaterial, which causes too much legal insecurity.
Reduced Power and Delay using Fault Tolerant Technique in Self Healing Architecture

Hardware systems have been proposing imitations to biological organisms in the way they offer healing and recovery abilities. Digital systems with inspired homogeneous architecture have improved capabilities to compensate for any faults. Self-healing is defined by the ability of a system to detect faults or failures and fix them. The problems in current self-healing approaches is area overhead and scalability for complex structures considering they are based on redundancy and spare blocks. This project proposes a different approach for self-healing based on embryonic structures without a need for spare cells. The area overhead is lower compared to other approaches relying on spare cells. The proposed approach relies on time multiplexing two functions in one cell within one clock cycle. The reliability of the proposed technique is studied and compared to conventional system with different failure rates. This approach is capable of healing the cells where each cell can cover another neighbour failed cell at most. The area overhead for the proposed approach is much lower compared to other approaches using spare cell. The proposed architecture uses fault tolerant self healing architecture with embryonic reconfigurable hardware which helps in reducing the drawbacks of existing systems. The designs are synthesized by using Xilinx ISE 14.5 Tools and are functionally verified by using ISIM Simulation tool. The proposed algorithm implements the designin proposed when compared to existing design and 65% and 3% respectively
STUDENTS PERCEPTIONS AND ATTITUDES TOWARDS TECHNOLOGICAL INNOVATIONS

Technological innovations which are developed in one year are already considered for obsolete in the next year. New technologies affect almost all aspects of human life, and although they make many activities easier for people, people's relationships with them are different. People fear that over time, new technologies will replace them at work. They don't like that people today rely more on technology than on themselves, worsening interpersonal relationships and many other things. Positive people perceive that new technologies make them better informed about everything, or that new technologies increase their productivity. The aim of the paper is to show how they perceive new technologies and what attitudes towards these technologies are held by university students of a selected technically oriented university in the Slovak Republic and to compare results with researches conducted in previous years in the world. For this purpose, a research was carried out in the form of an electronic questionnaire. The analysis of the research results shows that students perceive new technologies clearly positively and no significant differences were noted in terms of gender. The positives also included better availability of information. They perceive a high dependence on new technologies. In terms of attitudes to the use of new technologies, the research shows that almost two-thirds of students surveyed try to make the best use of technology and they are also interested in the complementary functions of these technologies.
General approach to automating the process of responding to computer security incidents

Abstract The article considers the process of responding to information security incidents as a cyclical process divided into several stages. The main approaches to automating response processes are presented, as well as cases in which automation is not effective.
Deep Web: A Residual of e-Public Administration

This article intention was to understand more about deep web, including dark web, as a critical part of stateless-based Public Administration paradigm. Therefore, the objectives of this research are as follows: (1) to investigate basic data and rough classification of deep webs, and (2) to suggest the solution for e-Public Administration. Documentary research and descriptive statistics like frequency and percentage were used in this study. The findings found that the top four of live deep webs were Non-English696 Sites (14.8%), Cryptocurrency 685 sites (14.5%), Media and Forum for uploading, downloading, and discussion 653 sites (13.8%), and Hosting 473 sites (10.0%). The activities in deep web were Non-English, Cryptocurrency, Media and Forum, Hosting, Under construction/Blank/Seized, Marketplace Drugs, Search Engines, Marketplace Commercial Services, Marketplace Financial, Blogs, Messaging, Private Web Site, Tutorials, Libraries and Wiki, Closed Website, Hacking, Whistle Blowing, Security, Marketplace Betting, P2P File Sharing, Cybercriminals, Dangerous threats, and Boards. In addition, Neural Network and Genetic Algorithm of AI and foundation of an autonomous public organization for controlling deep web in form of self-directed team under starfish organization-based structure were the best solutions for coping with the severe change in Public Administration.
Simulating high-energy physics on a quantum computer

pair) and $$H\rightarrow\mu\mu$$ (Higgs boson decays to two muons). We have obtained early results with 10 qubits on the IBM quantum simulator and the IBM quantum hardware. On the quantum simulator, the quantum machine learning methods perform similarly to classical algorithms such as SVM (support vector machine) and BDT (boosted decision tree), which are often employed in LHC physics analyses. On the quantum hardware, the quantum machine learning methods have shown promising discrimination power, comparable to that on the quantum simulator. This study demonstrates that quantum machine learning has the ability to differentiate between signal and background in realistic physics datasets.
IT Security to Information Assurance: The Steps towards Eco Friendly and Sustainable Information Systems

Information Technology is become important source for the development. Today almost all kind of organizations, institutions, and individuals are using IT for its wider benefits. Initially Computing considered as a branch of study for the promotion of computational and information affairs but gradually the development and requirement of information lead few other branches and among these important is Information Technology. The gradual development and uses of IT and Computing in various sectors and places creates the requirement of security concerns. The initial security treated as Cryptography and then gradually the concept of Computer Security has been arrived. Later the importance of Network, Websites and Database led the concept of IT Security. Hence in this context, IT Security is most broader for the development of technological information security. Though as far as information privacy and security is concerned the branch called Information Security is also important for its nature; as it is also responsible for the security and privacy of manual contents and information. The Information Assurance is another name responsible for the design and development of manual and traditional contents systems with proper policies, framework and regulation formulation. The branch Information Assurance is the need of hour as it is deals with manual contents also and this is vice versa responsible for the sustainable information systems development. This paper is talks about the basics of security, related technologies and specially the importance of Information Assurance as a sustainable and developed field of theory and practice.
Improving parameter precision of estimation by no-knowledge feedback control

We investigate a scheme to improve the precision of parameter estimation using no-knowledge measurement-based feedback control. The scheme shows that combination of no-knowledge measurement-based feedback control and quantum weak measurement is the optimal way to suppress decoherence. Our results indicate that compared with knowledge quantum feedback control, under the same weak measurement condition, the precision of parameter estimation can be improved more effectively with no knowledge quantum feedback control. Further, based on numerical simulation, we find that the feedback operator is chosen as [Formula: see text] (or both [Formula: see text] and [Formula: see text], which can protect quantum Fisher information (QFI) for a long time.
Using R Packages 'tmap', 'raster' and 'ggmap' for Dartographic Visualization: An Example of Dem-Based Terrain Modelling of Italy, Apennine Peninsula

The main purpose of this article is to present the use of R programming language in cartographic visualization demonstrating using machine learning methods in geographic education. Current trends in education technologies are largely influenced by the possibilities of distance-learning, e-learning and self- learning. In view of this, the main tendencies in modern geographic education include active use of open source GIS and publicly available free geospatial datasets that can be used by students for cartographic exercises, data visualization and mapping, both at intermediate and advanced levels. This paper contributes to the development of these methods and is fully based on the datasets and tools available for every student: the R programming language and the free open source datasets. The case study demonstrated in this paper show the examples of both physical geographic mapping (geomorphology) and socio-economic geography (regional mapping) which can be used in the classes and in self-learning. The objective of this research includes geomorphological modelling of the terrain relief in Italy and regional mapping. The data include DEM SRTM90 and datasets on regional borders of Italy embedded in R packages ‘maps’ and ‘mapdata’. Modelling references to the characteristics of slope, aspect, hillshade and elevation, their visualization using R packages: ‘raster’ and ‘tmap’. Regional mapping of Italy was made using main package ‘ggmap’ with the ‘ggplot2’ as a wrapper. The results present five thematic maps (slope, aspect, hillshade, elevation and regions of Italy) created in R language. Traditionally used in statistical analysis, R is less known as a perfect tool in geographic education. This paper contributes to the development of methods in geographic education by presenting new technologies of the machine learning methods of mapping.
Boot Sector Analysis of NTFS File System

Abstract With the vast growth of information technology, criminals are using new techniques to commit crimes that use computer systems. This study is based on the computer forensic analysis of NTFS file system that will be helpful for the collection of digital evidences related to crimes. In this study, we propose techniques that will be helpful to explore the data hidden by the criminals on the hard disk having NTFS file system that is not extracted by the system and system does not perform any check on the hidden places through its functioning. This technique is basically to check the boot sector and copy of the boot sector of partition for the hidden data that may be helpful to collect evidence related to cybercrime cases. Keywords: Computer forensics, NTFS, MFT, hidden data, NTFS file system vulnerabilities and data hiding. Cite this Article Tejpal Sharma, Gaurav Goel, Jagbir Singh, et al. Boot Sector Analysis of NTFS File System. Recent Trends in Parallel Computing . 2019; 6(1): 1–8p.
[Geochemical Survey Method of Land Quality in Land Parcel Scale City: A Case Study of the Initial Area of the Xiong'an New District].

In order to evaluate the land quality geochemical survey achievement in the service of the accurate management of urban land resources, the initial area of the Xiong'an New District as urbanization pathfinder in China is chosen as the research subject. The sample points were set by differential classification, and the spatial interpolation accuracy of the soil elements at a plot scale and a quantitative assessment of the consistency of the land plot (pattern spot) prediction evaluation were studied under the conditions of different sampling densities. The regional geochemical variation values randomly distributed on the plane can be reflected quantitatively by differential classification sampling, which can meet the basic demand of the quality attribute of a single plot (map spot) by the accurate management of urban land resources. The spatial variability of soil elements is mostly middle to moderate, and Cd, Cu, Pb, Hg, Se, N, P, and other elements of high spatial variability are affected by human industrial and agricultural production activities. Under the same sampling density, the larger the element variation coefficient, the worse the spatial interpolation accuracy. Although the interpolation accuracy of the same element index is affected by the sampling density, the increase in the sampling density could not identify the continuous component on the structure of the soil element content. The soil environment is clean, and the heavy metal content is lower than the GB15618-2018 standard. The interpolation results are basically consistent with the grading results of the measured values, while the contents of N, P, and K of the nutrient indices vary greatly, and the predicted and measured geochemical grades of the plots (map spot) differ substantially under the influence of factors such as human disturbance and spatial variability. The quantitative evaluation of the six different sampling densities indicates that the 16 points·km-2 sampling density adopted in the geochemical survey and evaluation of urban land quality can satisfy the needs of an accurate control of urban land resources in the study area and similar areas. The research can provide key technologies to support and serve the accurate management of urban land resources for geochemical surveys and the evaluation of land quality in land parcel scale cities.