Reviewerly/exHarmony huggingface dataset:
Topic Analysis by Detecting Keywords

Finding  prominent topic in a collection of documents is one of the efficient task that must do in a proper way. We here propose a system to detect topic from a collection of document. We use an efficient method to discover topic in a collection of documents known as topic model. A topic model is a type of statistical model for discovering topics from collection of documents. This system will help the web users to easily search information for particular topic. When the user will search for particular topic, system will extract various keywords from the set of documents which will match topic name mentioned by the web user and will cluster the keywords and will provide topic related information to the user. Web users will get information quickly for respective topic they are searching for.
A NOVEL APPROACH FOR DIGITAL LIBRARY SEARCH RESULTS REPRESENTATION USING CLUSTERING AND RANKING

It is a vital task to rank the digital documents in digital libraries due to an exponential growth ofdigital information and need of users. Ranking mechanism plays an important role in digital libraries as itenables the user to find the desired document efficiently. Various ranking algorithms have been proposed basedon different measures like number of citations to a research paper, content of paper, impact factor of publicationvenue, published year of the paper, bookmarks etc. But, these existing ranking algorithms sometimes provideirrelevant results due to certain shortcomings, which indicate a scope for further improvement in rankingmechanisms. In this paper, an optimized ranking algorithm is proposed that carries out static as well as dynamicranking to rank the documents in digital libraries. The proposed algorithm considers the citations of the paper,bookmarks of the paper, users feedback and clustering process for ranking. An optimized approach is beingproposed which provides sorted search result list in cluster form against the users query.
Intelligent Recommendation & Decision Technologies for Community-Driven Requirements Engineering

The work presented in this paper has been conducted within the scope of the Horizon 2020 project OPENREQ (732463).
A Survey Paper on Data Storage & Security in Cloud Computing

Cloud computing is group of services for example software system storage, network and hardware these type of services are provided to user. Cloud storage is easily access anywhere anytime of the data because cloud is work in remote location. It uses the storage service provided by the cloud provider. Data is not secure in the cloud because the unauthorized user can try to use of the private data. So providing the data security it uses the different encryption method to protect the data. So that in the proposed study it use the multilevel encryption algorithm. In the multilevel encryption it combines two different algorithms for providing the better security..
COMPUTING MODEL OF SOURCES OF SEA FLOOD FROM SEISMIC EARTHQUAKES AND ATMOSPHERIC TYPHOONS

The present study examines the components in the source of hydromechanics marine hazards, used as initial and boundary conditions in the construction of highly efficient computational experiments for direct modeling of dangerous sea floods, tsunamis, storm surges and extreme currents near the coast, including in bays and harbors of ports, on the shelf and in shallow waters of fisheries and oil fields.A series of retrospective computational experiments confirms the correctness of the results of hydrodynamic modeling, as well as a quite adequate graphical representation of wave processes at sea during interactively controlled visualization of the results in real or preventing time.The entire range of software, its documentation and source codes of programs are offered for free use in the interests of marine scientific research, as well as for marine regulatory and operational services of Russia.
MODEL OF IMPLEMENTATION OF INVESTIGATION GROUP LEARNING IN IMPROVING THE ABILITY TO WRITE NEGOTIATION TEXT IN VOCATIONAL SCHOOL

Â Â Negotiation itself is closely related to the daily lives of students. Negotiations are usually carried out by everyone in their daily lives, because negotiating means trying to reach an agreement, in everything. This study implements the investigation group model in the study of negotiating texts. The research objectives are to 1) describe the results of research in the classroom using the investigation group learning model and 2) to describe student learning outcomes. The research method used is an experimental method with a type of non-equivalent control group. The results showed an increase in students with SPSS calculation results was 0.001, meaning that the resulting data was less than 0.05 significance. This means that the instructor writes negotiating texts using the group investigation model is considered successful.Keywords: Investigation Group, write negotiating textÂ Â
DETEKSI REGULASI EMOSI SISWA DALAM PENCAPAIAN KEMAMPUAN PEMAHAMAN KONSEP PADA SISWA PKBM PAKET C

This study aims to describe the process of detection of emotional regulation ofstudents in achieving the ability to understand concepts in PKBM studentsPackage C. Data collection was done by questionnaire and Mathematics ConceptUnderstanding tests. This research is an analytical survey with Crossectionalapproach, the sample is taken by purposive sampling technique that is as manyas 3 respondents. The instruments used in this study were questionnaire and testresult sheet. This study is recommended to find out the regulation of emotions inachieving the ability of students to understand concepts in PKBM Package CKeywords: Emotion regulation, concept understanding
The transversal character of polyparadigmal educational space

The TrANSVerSAl ChArACTer Of POlyPArADIgmAl eDuCATIONAl SPACePurpose.Research on the main transversal characteristics of the polyparadigmal educational space.methodology.The scientific discourse of domestic and foreign scientists as for the given problem; historiographic method of continuum of educational space's scientific concepts; technologies of the reflexive analysis of scientific community's achievements and our own experience in the field of management of social environment and its structural systems; modeling of the process of transversal connections; methods of mathematical analysis for establishing real patterns of the transversal correlation or concepts conflict of polyparadigmal educational environment.findings.It is found that transversal character of the polyparadigmal educational environment is its implicit methodology, which enriches it with new "composite" forms.This creates conditions under which the emergent factors and new phenomena arise in the field of educational paradigms.A scheme of author's technology of the analysis of emergent zones of transversal interaction of educational paradigms is developed.The internal logics of paradigmality are briefly disclosed in the author's scheme of transversal interaction of domestic polyparadigmal educational space.Content components of transversal interaction of the educational space's paradigm are defined.The approbation of results for three years is carried out in the educational process of training of educational managers according to specialty "Management of educational establishment".Originality.For the first time, the concept "polyparadigmal educational space" has been proposed and introduced into scientific discourse; factors of dual transversal interaction of the educational paradigm have been defined and the scheme of transversal interaction of educational paradigms has been developed.Practical value.The use of results raises the scientific discourse on the problem of methodology of polyparadigmality and transversality of the educational space.The developed technological schemes and models can be used in further scientific research and educational process in preparation of educational managers.
Research Guides: Finding Online Resources: eBooks

This guide includes some of the key online resources that are available through the Styberg Library.
Live Deep and Suck all the Marrow of Life: H.D. Thoreau's Literary Legacy

Considered to be one of America’s great intellectuals, Thoreau was deeply engaged in some of the most important social debates of his day including slavery, the emergence of consumerism, the American Dream, living on the frontier, the role of the government and the ecological mind. As testimony to Thoreau’s remarkable intellectual heritage, his autobiography, essays and poetry still continue to inspire and attract readers from across the globe. As a celebration of H.D. Thoreau’s Bicentenary (1817-1862), this edited volume offers a re-reading of his works and reconsiders the influence that his transcendentalist philosophy has had on American culture and literature. Taking an intertextual perspective, the contributors to this volume seek to reveal Thoreau’s influence on American Literature and Arts from the 19th century onwards and his fundamental contribution to the development of 20th century American Literature. In particular, this work presents previously unconsidered intertextual analyses of authors that have been influenced by Thoreau’s writings. This volume also reveals how Thoreau’s influence can be read across literary genres and even seen in visual manifestations such as cinema.
Formation and Development of the Scientific and Scientific-Technical Activity Systems at Universities

In the context of the digital economy based on knowledge, innovation, and economic growth, the readiness to ensure mutual interaction between education and science is of strategic nature for each university. The purpose of the study is to examine the formation and development of the scientific and scientific-technical activity systems through the example of the Russian Federation.  In the study, a polynomial approximation is used to assess the maximum reliability of a flexible connection between education and research based on the methodology of the three main rankings: QS (conducted by the British company Quacquarelli Symonds), The Times Higher Education (conducted by The Times magazine) and the national Interfax agency ranking of the universities of the Russian Federation. As a result of the study, the positions of Russian universities in the international rankings were determined through the use of the composite indices calculated based on academic and scientific characteristics. The representative sample of universities was selected from the list of 100 Russian universities participating in the national Interfax agency ranking.  The subject area of universities is structured and divided according to the methodology of the international rankings. The results of the study confirmed the relevance of the formation and development of the scientific and scientific-technical activity systems of universities that implement the integration of education, science and production according to international standards.
An Analysis of Data Security and Privacy in Cloud Computing

Cloud Computing is an important buzzword in today's computer world.Cloud is a global platform that allows digital information to be stored and distributed at very low cost and it is very fast to use.In present times since data storage requirements are huge many users are looking to store their invaluable data in more secure platforms such as Cloud.Cloud Computing is scalable, fast, flexible, and cost effective technology platform for IT enabled services over the internet.Even though, there are various advantages of cloud computing, cloud service users have to still put their data under third party servers which are not directly controlled by the data owner.The application software and databases in cloud computing are moved to large, centralized data centers, where the management of the data and services may not be trustworthy.Data security has consistently been a major issue in information technology.In cloud computing, mainly from government, industry and business users perspective, data security and privacy protection issues are relevant to both hardware and software parts of the cloud architecture.Cloud security is becoming a key differentiator and adding competitive edge among different cloud providers.In spite of various benefits provided by the cloud computing services, cloud users are very much concerned about data security .This paper focuses on various issues regarding Cloud Computing, Data security, how cloud provides data integrity, confidentiality, availability over user's data and how data stored over cloud storage servers will be protected from attackers.Risk management of data present on the Cloud is another challenge.There is a requirement to identify the risks an organization would be taking while hosting data and services on the Cloud.In this paper, we present issues that are preventing people from adopting cloud and how to minimize these risks.
The recommended location of rain gauge stations based on radar

&amp;lt;p&amp;gt;The characteristics of the watershed are important to reduce hydrologic disasters, such as the risk of dam flooding. In other words, quantitative precipitation estimation(QPE) is important to manage water resources in large regions. Both radar and rain gauged data are used to improve QPE. This study is dealt with suggesting the best location of additional rain gauged stations to be installed in order to improve QPE as entropy theory. Conditional entropy is used to quantitatively evaluate the location of additional gauged stations to be installed given the existing rainfall network. Because radar produces high-resolution precipitation estimates, it can be used to identify the high entropy points to reduce rainfall uncertainty. The data were collected from May 2018 to August 2019 in the Bukhan river dam basin. Road networks were also considered for the establishment for a practical approach.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;&amp;amp;#160;&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;This work was supported by KOREA HYDRO &amp;amp; NUCLEAR POWER CO., LTD&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;(No. 2018-Tech-20)&amp;lt;/p&amp;gt;
The Moderating Role of Work Involvement in Influencing the Relationship between Person-Environment Fit and Organizational Citizenship Behaviour among Public Service Employees

Studies have put considerable effort to examine the influence of person-environment fit on organizational citizenship behaviour (OCB). However, the findings indicate that the direct relationship is not always satisfactory. Therefore, this study decided to introduce work involvement as a moderator to clearly explained the influence of person-environment fit and OCB. A total of 376 questionnaires were distributed and 371 questionnaires were returned , giving a response rate of 98. 67%. The SPSS was used for the analysis Person environment fit consist s of person job fit, person organization fit, person group fit and person supervisor fit. T he results of this study show that work involvement moderates the relationship s between person job fit and OCB , person organization fit and OCB and person supervisor fit and OCB. The im plications of the study are discussed in the paper.
Blockchain: Replacing, Eliminating and Creating Trade in Services

Blockchain is a distributed or decentralised ledger technology that uses cryptographic algorithms to verify the creation and transfer of digitally represented assets or information over a peer-to-peer network. It eliminates the need for a central authority to keep, update and verify data. Traditionally, services provided by these central authorities constitute a significant part of the services industry. This paper argues that Distributed Ledger Technology (DLT) is changing the services industry in three ways. First, services previously provided by central authorities are now being replaced and supplied jointly by some or all participants on the distributed ledger. Second, with the elimination of central authorities, auxiliary services used to support the operation of these central authorities are being eliminated. Third, services trade may be expanded and become more inclusive by engaging previously disadvantaged or marginalised individuals. This paper further argues that the General Agreement on Trade in Services (GATS), as the first and the only multilateral trade agreement on services, is highly relevant for the development and regulation of DLT-based applications. This relevance is unpacked by: (i) identifying the services relevant in the context of DLT-based applications; and, (ii) exploring whether a WTO Member, in adopting regulations affecting DLT-based applications, needs to consider its obligations under the GATS. The paper arrives at the conclusion that the GATS can be an effective instrument in expanding trade in DLT-replaced or enabled services.
THE MEMORY PHENOMENON IN SOCIAL TIME

The relevance of the research is fraternal to the need to study type separation and classification of the time phenomenon, which determines demarcation in the knowledge of different types of time formation, its modalities, usually perceived by man in the duality of space-time dynamics in his global picture of the time-arrow in the relationship "past-present-future."The purpose of our scientific exploration: philosophical reflection of the memory phenomenon in social time. The objective of the work is specified in the following scientific tasks: to outline the content of social time, its types, the role of memory mechanisms in the context of social time, to ascertain the reasons and prerequisites for determining the classification of specific categories of time as well as the modality of time in human perception.Objectives of the study: 1) to provide the time and social time definitions, required for the subsequent analysis of the problem; 2) to determine the specificity of social time types; study the specifics of perspective time; 3) to present the views of Soviet academician G. Popov, his concept and theoretical model reflecting dynamic and static blocks of human memory; 4) describe the logic and theory of the external method of memory research by G. Popov; 5) consider the theoretical memory model as well as its specific designations and figurative constructions.Scientific novelty: for the first time the philosophical judgment of types, modality, and dynamics of social time in their relationship with memory phenomenology through the theoretical figurative model of G. Popov is performed; that allows us to describe the prerequisites and reasons for different types of time formation and functioning. Furthermore, the originality of this study commences philosophical reflection on the approach to solving the life-tasks, i.e. the approach to the social time phenomenon studies based on the dynamics and principles of the human memory mechanisms functioning
Implementation of Q-learning algorithm for credit card fraud detection.

Financial fraud is an ever growing threat with way consequences within the economic business. Now-a-days the use of electronic transactions are increasing because they are easy and time saving for customers. Individual cards has its unique identification information which give services to the user and will be paid according to their use. German Credit Data is one of the most famous datasets in the realm of fraud detection and it is available in two formats that is categorical attribute and numerical attribute. Increased in number of credit card transactions opens the door for thieves to steal credit card details and commit fraud. Thieves steals the account of users which includes the card account number or other information that would be necessarily available to a merchant during legitimate transactions. To overcome this situation we are using Q- learning algorithm which is an  off policy reinforcement learning algorithm. It’s considered off-policy because the Q- learning function learns from actions that are outside the current policy like taking random actions and therefore policy is not needed.  The ‘Q’ in Q-learning algorithm stands for the quality that is applied on the raw and pre- processed knowledge ofdata.This paper describes the existing application related to credit card fraud detection.
Image Translation by Latent Union of Subspaces for Cross-Domain Plaque Segmentation

Calcified plaque in the aorta and pelvic arteries is associated with coronary artery calcification and is a strong predictor of heart attack. Current calcified plaque detection models show poor generalizability to different domains (ie. pre-contrast vs. post-contrast CT scans). Many recent works have shown how cross domain object detection can be improved using an image translation model which translates between domains using a single shared latent space. However, while current image translation models do a good job preserving global/intermediate level structures they often have trouble preserving tiny structures. In medical imaging applications, preserving small structures is important since these structures can carry information which is highly relevant for disease diagnosis. Recent works on image reconstruction show that complex real-world images are better reconstructed using a union of subspaces approach. Since small image patches are used to train the image translation model, it makes sense to enforce that each patch be represented by a linear combination of subspaces which may correspond to the different parts of the body present in that patch. Motivated by this, we propose an image translation network using a shared union of subspaces constraint and show our approach preserves subtle structures (plaques) better than the conventional method. We further applied our method to a cross domain plaque detection task and show significant improvement compared to the state-of-the art method.
Spiking Neural Net to Solve the Shortest Path NP Problem

Third Generation Artificial Neuronal Networks or Pulsed are suitable for solving problems in the field of Path Optimization, specifically in the shortest path problem. However, there are models of Pulse-Coupled Neural Network that need a large number of iterations before to find the shortest path between two points. This paper presents a variation of Pulse-Coupled Neural Network to solve the shortest path problem in an efficient way. This variant has a dynamic auto-wave propagation speed, which adjusts in a heuristic way to avoid iterations where there are no changes in the graph. To show the efficiency of the model, experiments are performed, and the results are compared against two other models of Pulsating Neural Networks. In the comparison, paradigms that use a static auto-wave speed and models with a dynamic auto-wave speed are used.
Neuroevolution in Dynamically Changing Environments

One goal of the Artificial Life field is to achieve a computational system with a complex richness similar to that of biological life. In lieu of the knowledge to achieve this, Open-ended evolution...