80 research outputs found

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

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    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

    Progress towards ignition on the National Ignition Facility

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    Ultra fine-pitch wafer level packaging with reworkable composite nano-interconnects

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    Proceedings of 6th Electronics Packaging Technology Conference, EPTC 2004132-13

    New paradigm in IC-package interconnections by reworkable nano-interconnects

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    Proceedings - Electronic Components and Technology Conference1451-460PECC

    A prospective study of TaqIB polymorphism in the gene coding for cholesteryl ester transfer protein and risk of myocardial infarction in middle-aged men

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    Background: Molecular variations in the gene coding for the cholesteryl ester transfer protein (CETP) such as the TaqIB polymorphism are associated with higher plasma high-density lipoprotein (HDL) concentration. However, whether this polymorphism is associated with risk of myocardial infarction (MI) is uncertain. Methods and results: In a prospective cohort of 14 916 apparently healthy men enrolled in the Physicians' Health Study, allelic status for the TaqIB polymorphism in the CETP gene was determined among 384 participants who subsequently developed a first MI (cases) and among an equal number of age and smoking-matched participants who remained free of cardiovascular disease during follow-up (controls). Overall, the B2B2 genotype was present in 17% of the study participants and was associated with higher HDL cholesterol levels (mean mg/dl [ ± S.D.], 45 ± 11 for the B1B1 genotype, 48 ± 13 for the B1B2 genotype and 50 ± 12 for the B2B2 genotype; P = 0.01). However, the risk of developing MI did not differ significantly across these three genotypes. After adjustment for coronary risk factors (but not HDL), the relative risks for future MI were 1.12(95% CI 0.74-1.70) for the B1B2 genotype and 0.95(95% CI 0.54-1.66) for the B2B2 genotype, compared with the B1B1 genotype. In subgroup analysis of individuals with low HDL levels, B2B2 genotype appeared to have a lower risk of MI compared with the B1B1 genotype. However, participants with high HDL were at lower risk of developing MI regardless of their CETP genotype. Conclusions: In this prospective study of apparently healthy middle-aged US men, carriers of the B2 allele of the TaqIB in the CETP gene had higher HDL concentrations, but did not have lower risk of MI. Condensed abstract: In a cohort of apparently healthy middle-aged US men, the relation between CETP genotype and MI risk was prospectively examined in a nested case-control study. Afier adjusting for coronary risk factors (but not HDL), the 9-year risk of developing MI did not differ significantly by genotype. Comparing to the B1B1 genotype, the relative risks for future MI were 1.12 (95% CI 0.74-1.70) for the B1B2 genotype and 0.95 (95% CI 0.54-1.66) for the B2B2 genotype
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