SUB-FIELDS AND COUNTRIES IN THE LITERATURE OF GOUT: AN ANALYSIS

This paper presents an analysis of Sub-Fields and Countries in the literature of Gout using bibliometric techniques. The literature covered in the database for the period 2008-2017 was considered. It shows that there is a growth of literature in the subject of study by year after year. 40.44% records were covered by Journal Article. 51 journals were needed to supply one-third of the cited records for zone-1. However, 223 journals were required to produce the second grouping of records in Zone-2, and 725 journals to yield the records that constitute Zone-3. Most frequently cited primary journals were General Medicine in the field of Gout with 40.51%. The United States is dominating the first position with 93 primary journals, England is in the second position contains 59 primary journals and Germany is in the third position contains 19 primary journals. The data reveals that publications on ‘General Medicine’ have resulted in a higher number of primary journals publications followed by Rheumatology, Pharmacology, Orthopedics, and Biochemistry. There were high priorities in 11 sub-fields in the USA followed by 10 in England and 8 in Germany. In other countries, the high priorities range from one discipline to five disciplines. 274 primary journals were identified in the field of Gout literature

Adaptive Fuzzy PI Current Control of Grid Interact PV Inverter

Now a day‟s, Photo Voltaic (PV) power generation rapidly increasing. This power generation highly depending on the temperature and irradiation. When this power interface with grid through the voltage source inverter with PI controller. Its gains should be updated due to the parametric changes for the better performance. In This Work Fuzzy Controller updates the gains of the proportional integral (PI)s Controller under variable parametric conditions. the gaines of the PI Controller are updated based on the error current and change in error current through the fuzzy controller. The error current in direct and quadrature frame are the Inputs to the PI controller. The PI Controller generates the reference voltage to the pulse width modulation technique. Here reference voltage is compared with the carrier signal to generate the pulses to the 3-Ph Inverter connected to the grid. This controller has given well dynamic response with less steady state error and also given The less THD of the grid current compared to the PI and Fuzzy controller.It Is implemented and verified in MATLAB Simulink

THE SURVEY OF CANCER PATIENTS IN THE REGION OF GUNTUR: BASED ON HOSPITAL REGISTRY

Objective: This survey was conducted to estimate the number of cancer patients in the region of Guntur-based on sex, age and cancer groups. The data were obtained from the hospital-based registries from Bommidala Cancer Institute, NRI Hospital, Balaji Cancer Care Center, and Govt. General Hospital, which was scrutinized and analysed.Methods: The hospital registry entry was considered suitable for assessing the cancer cases in the region of Guntur. In addition, data of NCRP were utilised for comparing the obtained results.Results: The data comprehensively constitutes of 309 patients. Out of which men were 74 (23.95%), and women were 235 (76.05%) who had obtained treatment for various cancer conditions between March-May, 2016. In these hospitals, cancers pertaining to the cervix-83 (31.32%), breast-52 (19.62%), ovary–17 (6.41%), lymphoid-11 (4.15%), pharynx-10 (3.77%), endometrium-10 (3.77%), astrocytoma-08 (3.02%), colon-07 (2.64%), larynx-06 (2.26%), rectum–06 (2.26%), oesophagus–05 (1.88%), post cricoids-04 (1.50%), stomach–04 (1.50%), liver–03 (1.13%) were the leading sites in order. While among these cases, radiation therapy patients were 194 (62.78%), chemotherapy patients were 78 (25.24%), and surgery patients were 37 (11.97 %).Conclusion: Survey reports the highest incidence of cancer cases to be cervix cancer among the women while it was pharyngeal cancer which precedes lung cancer among the men. This hospital-based registry survey is a report that provided internal consistency, reliability and validity

Structure, function and diversity of the healthy human microbiome

Author Posting. © The Authors, 2012. This article is posted here by permission of Nature Publishing Group. The definitive version was published in Nature 486 (2012): 207-214, doi:10.1038/nature11234.Studies of the human microbiome have revealed that even healthy individuals differ remarkably in the microbes that occupy habitats such as the gut, skin and vagina. Much of this diversity remains unexplained, although diet, environment, host genetics and early microbial exposure have all been implicated. Accordingly, to characterize the ecology of human-associated microbial communities, the Human Microbiome Project has analysed the largest cohort and set of distinct, clinically relevant body habitats so far. We found the diversity and abundance of each habitat’s signature microbes to vary widely even among healthy subjects, with strong niche specialization both within and among individuals. The project encountered an estimated 81–99% of the genera, enzyme families and community configurations occupied by the healthy Western microbiome. Metagenomic carriage of metabolic pathways was stable among individuals despite variation in community structure, and ethnic/racial background proved to be one of the strongest associations of both pathways and microbes with clinical metadata. These results thus delineate the range of structural and functional configurations normal in the microbial communities of a healthy population, enabling future characterization of the epidemiology, ecology and translational applications of the human microbiome.This research was supported in part by National Institutes of Health grants U54HG004969 to B.W.B.; U54HG003273 to R.A.G.; U54HG004973 to R.A.G., S.K.H. and J.F.P.; U54HG003067 to E.S.Lander; U54AI084844 to K.E.N.; N01AI30071 to R.L.Strausberg; U54HG004968 to G.M.W.; U01HG004866 to O.R.W.; U54HG003079 to R.K.W.; R01HG005969 to C.H.; R01HG004872 to R.K.; R01HG004885 to M.P.; R01HG005975 to P.D.S.; R01HG004908 to Y.Y.; R01HG004900 to M.K.Cho and P. Sankar; R01HG005171 to D.E.H.; R01HG004853 to A.L.M.; R01HG004856 to R.R.; R01HG004877 to R.R.S. and R.F.; R01HG005172 to P. Spicer.; R01HG004857 to M.P.; R01HG004906 to T.M.S.; R21HG005811 to E.A.V.; M.J.B. was supported by UH2AR057506; G.A.B. was supported by UH2AI083263 and UH3AI083263 (G.A.B., C. N. Cornelissen, L. K. Eaves and J. F. Strauss); S.M.H. was supported by UH3DK083993 (V. B. Young, E. B. Chang, F. Meyer, T. M. S., M. L. Sogin, J. M. Tiedje); K.P.R. was supported by UH2DK083990 (J. V.); J.A.S. and H.H.K. were supported by UH2AR057504 and UH3AR057504 (J.A.S.); DP2OD001500 to K.M.A.; N01HG62088 to the Coriell Institute for Medical Research; U01DE016937 to F.E.D.; S.K.H. was supported by RC1DE0202098 and R01DE021574 (S.K.H. and H. Li); J.I. was supported by R21CA139193 (J.I. and D. S. Michaud); K.P.L. was supported by P30DE020751 (D. J. Smith); Army Research Office grant W911NF-11-1-0473 to C.H.; National Science Foundation grants NSF DBI-1053486 to C.H. and NSF IIS-0812111 to M.P.; The Office of Science of the US Department of Energy under Contract No. DE-AC02-05CH11231 for P.S. C.; LANL Laboratory-Directed Research and Development grant 20100034DR and the US Defense Threat Reduction Agency grants B104153I and B084531I to P.S.C.; Research Foundation - Flanders (FWO) grant to K.F. and J.Raes; R.K. is an HHMI Early Career Scientist; Gordon&BettyMoore Foundation funding and institutional funding fromthe J. David Gladstone Institutes to K.S.P.; A.M.S. was supported by fellowships provided by the Rackham Graduate School and the NIH Molecular Mechanisms in Microbial Pathogenesis Training Grant T32AI007528; a Crohn’s and Colitis Foundation of Canada Grant in Aid of Research to E.A.V.; 2010 IBM Faculty Award to K.C.W.; analysis of the HMPdata was performed using National Energy Research Scientific Computing resources, the BluBioU Computational Resource at Rice University

A framework for human microbiome research

A variety of microbial communities and their genes (the microbiome) exist throughout the human body, with fundamental roles in human health and disease. The National Institutes of Health (NIH)-funded Human Microbiome Project Consortium has established a population-scale framework to develop metagenomic protocols, resulting in a broad range of quality-controlled resources and data including standardized methods for creating, processing and interpreting distinct types of high-throughput metagenomic data available to the scientific community. Here we present resources from a population of 242 healthy adults sampled at 15 or 18 body sites up to three times, which have generated 5,177 microbial taxonomic profiles from 16S ribosomal RNA genes and over 3.5 terabases of metagenomic sequence so far. In parallel, approximately 800 reference strains isolated from the human body have been sequenced. Collectively, these data represent the largest resource describing the abundance and variety of the human microbiome, while providing a framework for current and future studies

Large expert-curated database for benchmarking document similarity detection in biomedical literature search

Document recommendation systems for locating relevant literature have mostly relied on methods developed a decade ago. This is largely due to the lack of a large offline gold-standard benchmark of relevant documents that cover a variety of research fields such that newly developed literature search techniques can be compared, improved and translated into practice. To overcome this bottleneck, we have established the RElevant LIterature SearcH consortium consisting of more than 1500 scientists from 84 countries, who have collectively annotated the relevance of over 180 000 PubMed-listed articles with regard to their respective seed (input) article/s. The majority of annotations were contributed by highly experienced, original authors of the seed articles. The collected data cover 76% of all unique PubMed Medical Subject Headings descriptors. No systematic biases were observed across different experience levels, research fields or time spent on annotations. More importantly, annotations of the same document pairs contributed by different scientists were highly concordant. We further show that the three representative baseline methods used to generate recommended articles for evaluation (Okapi Best Matching 25, Term Frequency-Inverse Document Frequency and PubMed Related Articles) had similar overall performances. Additionally, we found that these methods each tend to produce distinct collections of recommended articles, suggesting that a hybrid method may be required to completely capture all relevant articles. The established database server located at https://relishdb.ict.griffith.edu.au is freely available for the downloading of annotation data and the blind testing of new methods. We expect that this benchmark will be useful for stimulating the development of new powerful techniques for title and title/abstract-based search engines for relevant articles in biomedical research.Peer reviewe

Nations within a nation: variations in epidemiological transition across the states of India, 1990–2016 in the Global Burden of Disease Study

18% of the world's population lives in India, and many states of India have populations similar to those of large countries. Action to effectively improve population health in India requires availability of reliable and comprehensive state-level estimates of disease burden and risk factors over time. Such comprehensive estimates have not been available so far for all major diseases and risk factors. Thus, we aimed to estimate the disease burden and risk factors in every state of India as part of the Global Burden of Disease (GBD) Study 2016

SUB-FIELDS AND COUNTRIES IN THE LITERATURE OF GOUT: AN ANALYSIS

This paper presents an analysis of Sub-Fields and Countries in the literature of Gout using bibliometric techniques. The literature covered in the database for the period 2008-2017 was considered. It shows that there is a growth of literature in the subject of study by year after year. 40.44% records were covered by Journal Article. 51 journals were needed to supply one-third of the cited records for zone-1. However, 223 journals were required to produce the second grouping of records in Zone-2, and 725 journals to yield the records that constitute Zone-3. Most frequently cited primary journals were General Medicine in the field of Gout with 40.51%. The United States is dominating the first position with 93 primary journals, England is in the second position contains 59 primary journals and Germany is in the third position contains 19 primary journals. The data reveals that publications on ‘General Medicine’ have resulted in a higher number of primary journals publications followed by Rheumatology, Pharmacology, Orthopedics, and Biochemistry. There were high priorities in 11 sub-fields in the USA followed by 10 in England and 8 in Germany. In other countries, the high priorities range from one discipline to five disciplines. 274 primary journals were identified in the field of Gout literature