Russian secret service to vet research papers

Nature ◽  
2015 ◽  
Vol 526 (7574) ◽  
pp. 486-486 ◽  
Author(s):  
Quirin Schiermeier
Keyword(s):  
Research Papers ◽  
Secret Service

Analysis on Research Paper Publication Recommendation System with Composition of Papers and Conferences Matrices

2020 ◽  
pp. 120-127
Author(s):  
Htay Htay Win ◽  
Aye Thida Myint ◽  
Mi Cho Cho
Keyword(s):  
Social Network ◽  
Dimensionality Reduction ◽  
Correspondence Analysis ◽  
Recommendation System ◽  
Research Paper ◽  
Topic Modelling ◽  
Research Papers ◽  
The Right ◽  
Publication Recommendation

For years, achievements and discoveries made by researcher are made aware through research papers published in appropriate journals or conferences. Many a time, established s researcher and mainly new user are caught up in the predicament of choosing an appropriate conference to get their work all the time. Every scienti?c conference and journal is inclined towards a particular ?eld of research and there is a extensive group of them for any particular ?eld. Choosing an appropriate venue is needed as it helps in reaching out to the right listener and also to further one’s chance of getting their paper published. In this work, we address the problem of recommending appropriate conferences to the authors to increase their chances of receipt. We present three di?erent approaches for the same involving the use of social network of the authors and the content of the paper in the settings of dimensionality reduction and topic modelling. In all these approaches, we apply Correspondence Analysis (CA) to obtain appropriate relationships between the entities in question, such as conferences and papers. Our models show hopeful results when compared with existing methods such as content-based ?ltering, collaborative ?ltering and hybrid ?ltering.

Organizational aspects of osteopathic care provision in a specialized clinic of Moscow

2018 ◽  
pp. 6-13
Author(s):  
D. E. Mokhov ◽  
M. Y. Gerasimenko ◽  
O. V. Yaschina ◽  
L. V. Tumbinskaya ◽  
E. S. Tregubova
Keyword(s):  
Quality Criteria ◽  
Medical Specialty ◽  
Organizational Analysis ◽  
Care Provision ◽  
Sources Of Information ◽  
Research Papers ◽  
Regulatory Documents ◽  
Methodological Approaches ◽  
Intensive Development ◽  
Osteopathic Physicians

Introduction. Nowadays osteopathy is an offi cial medical specialty. Many years of experience accumulated by osteopathic physicians in our country have proven its effectiveness. The analysis of research papers of those countries where osteopathy is widely used allows to draw the following conclusion: osteopathy is one of the least dangerous therapeutic methods provided that patients deal with well-trained and certifi ed specialists who work in the frame of possibilities of osteopathy. Due to the intensive development of this specialty in Russia it is necessary to provide scientifi c justifi cation to organizational and methodological approaches aimed at ensuring effective and high-quality osteopathic care to the population.Goal of research - to develop proposals in order to improve the quality and effectiveness of osteopathic care provision for the population, taking into account the current situation in health care.Materials and methods. Authors used the following research methods: historical and medico-organizational analysis, literary data analysis, content analysis as well as methods of descriptive statistics.Results. The research presents characteristics of clinics declaring osteopathic care provision, as well as qualities of osteopathic physicians. It also describes patients seeking osteopathic care, and sources of information they use.Conclusion. Authors propose a number of measures aimed at improving the availability and effectiveness of osteopathic care for patients such as training of doctors, creating of regulatory documents, developing quality criteria for osteopathic care provision and popularization of osteopathy among patients.

Similarity Detection Using Latent Semantic Analysis Algorithm

2018 ◽  
Vol 6 (8) ◽  
pp. 102
Author(s):  
Priyanka R. Patil ◽  
Shital A. Patil
Keyword(s):  
Latent Semantic Analysis ◽  
Latent Dirichlet Allocation ◽  
Semantic Analysis ◽  
Mining Method ◽  
Research Papers ◽  
Information Measures ◽  
Automated Software ◽  
Day By Day ◽  
Ways Of Life ◽  
Dirichlet Allocation

Similarity View is an application for visually comparing and exploring multiple models of text and collection of document. Friendbook finds ways of life of clients from client driven sensor information, measures the closeness of ways of life amongst clients, and prescribes companions to clients if their ways of life have high likeness. Roused by demonstrate a clients day by day life as life records, from their ways of life are separated by utilizing the Latent Dirichlet Allocation Algorithm. Manual techniques can't be utilized for checking research papers, as the doled out commentator may have lacking learning in the exploration disciplines. For different subjective views, causing possible misinterpretations. An urgent need for an effective and feasible approach to check the submitted research papers with support of automated software. A method like text mining method come to solve the problem of automatically checking the research papers semantically. The proposed method to finding the proper similarity of text from the collection of documents by using Latent Dirichlet Allocation (LDA) algorithm and Latent Semantic Analysis (LSA) with synonym algorithm which is used to find synonyms of text index wise by using the English wordnet dictionary, another algorithm is LSA without synonym used to find the similarity of text based on index. LSA with synonym rate of accuracy is greater when the synonym are consider for matching.

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