130,446 research outputs found
Genetic polymorphisms of the SHBG gene can be the effect on SHBG and HDL-cholesterol levels in Coronary Heart Disease: a case-control study
No full textAkadam Teker, Aysegul Basak/0000-0003-3618-0560WOS: 000478684300060PubMed: 31111369Sex hormone binding globulin (SHBG) level is positively associated with the high-density lipoprotein cholesterol (HDL-C) levels. The aim of this study was to investigate the effects of the SHBG gene variations (D356N, rs1799941, and P156L) on SHBG and HDL-C levels and Coronary Heart Disease (CHD) risk. The SHBG D356N (rs6259,G>A), P156L (rs6258,C>T), and rs1799941(G>A) polymorphisms were determined in 131 male CHD patients and 55 male controls by PCR-RFLP and real-time PCR techniques. SHGB levels were measured by Electro-chemiluminescence immunoassay (ECLIA). In the patients who had SHBG levels lower than threshold 35nmol/l value, the risk of being HDL-C levels lower than threshold 0.90mmol/l value was observed statistically significant (p=0.017; OR 2.522, 95% CI 1.170-5.438). The rs1799941 GG was associated with increased CHD risk when compared with the A allele carriers (GA+AA) (p=0.019, OR 2.222, 95% CI 1.130-4.371). In addition, the rs1799941 GG genotype and D356NN allele were associated with lower SHBG in the CHD group (p<0.01). The logistic regression analysis also revealed the rs1799941 GG genotype was significantly associated with low SHBG in CHD patients. It was observed that Haplotype-1(rs1799941 G allele-P156L P allele-D356N D allele) was associated with increased CHD risk, while Haplotype-2 (rs1799941 rare A allele-P156L C allele- D356N G allele) was correlated with the decreased CHD risk (p=0.0167). Our findings suggest that there is a positive correlation between SHBG and HDL-C levels in CHD patients, and this association might be affected by SHBG gene variations.Research Fund of Istanbul UniversityIstanbul University [12104]The present work was supported by the Research Fund of Istanbul University. Project No. 12104. The authors would like to thank Professor Oguz Ozturk and Associate Professor Ozlem Kucukhuseyin for their statistical contribution and valuable comments and suggestions, which were helpful in improving the paper
Ergonomics risk analysis in automobile cable manufacturing
No full textBu çalışma, 04-05, Haziran 2015 tarihlerinde İstanbul[Türkiye]’de düzenlenen Global Business Research Congress (GBRC) Kongresi‘nde bildiri olarak sunulmuştur.Musculoskeletal diseases are one of the most important issues among occupationFal health illnesses because the workforce, not only developing but also developed countries are affected and burdens social security systems with high financial costs, further decreases qualified emloyees. This study analysis the musculoskeletal diseases in a cable manufacturing facility and provides new applications to eliminate physical risk factos. Based on video records, Quick Exposure Check (QEC) are made for ergonomic risk analysis and required arrangements are suggested for the related departments. Then, results are assesed in terms of efficiency. Finally, it was seen that ergonomics analysis have decreased musculoskeletal disease risks
Ergonomic analysis of working postures that cause strain on workers that work in hand placement business of transporting containers
No full textBu çalışma, 04-05, Hazziran 2015 tarihlerinde Istanbul[Türkiye]’de düzenlenen Global Business Research Congress (GBRC) Kongresi‘nde bildiri olarak sunulmuştur.Due to increased competition in the globalized world, technological innovations and higher production rates have become very important for businesses. Despite advances and innovations in technology, the employees who work in countries which have developed industry resulting musculoskeletal disorders causes serious economic losses, it has been shown to affect the entire community rather than individuals in it. Reducing the fatigue and stress consists physical overloading on human provides significant contributions on productivity and labor costs. To be understanding of this situation emerges the i mportance of working stance. Today has started to benefit from t he ergonomic analysis for the elimination of all actions and activities that do not contribute to production. Poor posture is observed during the some works such as hand placement business of transporting containers. For study of analysis, these works are selected and the methods of REBA and BAUA are benefited to investigate the posture of employees during work. BAUA analysis method cares about all body posture, carried load and time of carrying but REBA analysis method considers also the score of stance of upper limb. In this study, REBA and BAUA ergonomic analysis methods are evaluated by comparing to learn what the results are in a predetermined proces
The evelotion of lifting and moving with vacuming systems effects on public health
Get PDFBu çalışma, 04-05, Haziran 2015 tarihlerinde İstanbul[Türkiye]’de düzenlenen Global Business Research Congress (GBRC) Kongresi‘nde bildiri olarak sunulmuştur.Workers are applying momentum and power which different duration and time in their working area. There are differences between workers, cause ofsex, a ge, health s tatus, e xperience, disabling. Also s ettling of w orks effects the l imits of p ower a nd m omentum w hich applied. There are a lot of different accounting method which obtained reserch and experience to determine power and momentum applied by workers. In this study it was analaysed weight on workers who works in lift and movement job with vacuming systems. Rubber goods between 9 and 25 kg weight were moved from container to conveyor in this study. 150 pcs rubber good which is different weight and size has moved every day by a worker who employed on this job. Analaysis by REBA method and ergonomic risk evalaution has done depend on Assessment Methods of Occupational Safety and Occupational Medicine Institutions of Germany. By the studies has contributed to reducing the disease ofmusculoskeletal system in the health management
MeSH term explosion and author rank improve expert recommendations
Get PDFInformation overload is an often-cited phenomenon that reduces the productivity, efficiency and efficacy of scientists. One challenge for scientists is to find appropriate collaborators in their research. The literature describes various solutions to the problem of expertise location, but most current approaches do not appear to be very suitable for expert recommendations in biomedical research. In this study, we present the development and initial evaluation of a vector space model-based algorithm to calculate researcher similarity using four inputs: 1) MeSH terms of publications; 2) MeSH terms and author rank; 3) exploded MeSH terms; and 4) exploded MeSH terms and author rank. We developed and evaluated the algorithm using a data set of 17,525 authors and their 22,542 papers. On average, our algorithms correctly predicted 2.5 of the top 5/10 coauthors of individual scientists. Exploded MeSH and author rank outperformed all other algorithms in accuracy, followed closely by MeSH and author rank. Our results show that the accuracy of MeSH term-based matching can be enhanced with other metadata such as author rank
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Comparing the Effectiveness of SPSS and EduG using Different Designs for Generalizability Theory
No full textGeneralizability theory (G theory) provides a broad conceptual framework for social sciences such as psychology and education, and a comprehensive construct for numerous measurement events by using analysis of variance, a strong statistical method. G theory, as an extension of both classical test theory and analysis of variance, is a model which can deal with multiple sources of error. In conducting the analysis of the G theory, there are several software programs that can be used such as GENOVA, SPSS, SAS, EduG, and G-String. In this study, the general perspectives of G theory are first explained broadly. Then, the SPSS and EduG software programs are used to conduct generalizability analyses on the data obtained from the answers of 30 students (p) to nine open-ended questions (i) as rated by three raters (r). There are three different designs in the study. Two of them are random effects designs, pxixr and pxi:r, and the last one is pxixr design using a fixed rater. According to the findings from the study, SPSS and EduG give the same results for variance component estimates as well as for G (Generalizability) and D (Decision) studies of all designs, as expected. Besides comparing the program outputs, their weaknesses and strengths were also discussed regarding different designs and data sets in this study
"Closing the R&D Gap, Evaluating the Sources of R&D Spending"
Get PDFBoth spending and tax policies have been implemented in the United States with the goal of stimulating private sector research and development (R&D). Karier questions whether current R&D policy, especially the research and experimentation tax credit, can contribute to closing the gap between nondefense expenditures on R&D in the United States and such expenditures in other countries, such as Japan and Germany. He also explores possible changes to our current R&D policy to make it more effective.
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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