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1.
Ergogenic effect of varied doses of coffee-caffeine on maximal aerobic power of young African subjects 下载免费PDF全文
Background
Caffeine one of the readily available stimulants consumed daily by more than 80% of the world''s population, making it the most widely consumed drug in history. The objective of this study was to determine the effects of different doses (5, 10 &15 mg.kg−1) of caffeine per kilogram body weight on maximal aerobic power of normal young black African (Nigerian) male adults.Method
Twenty apparently healthy young male adults volunteers, participated. A repeated measure four randomized crossover (counter balanced) double blind design was used in data collection. Subjects engaged in 20 meter shuttle run test (20 MST) one hour post caffeine (5, 10 & 15 mg.kg−1) and placebo doses ingestion. Endurance performance index (VO2 max, run time & number of exercise laps) were measured and recorded.Result
Repeated measures ANOVA was used to assess the level of significant difference between caffeine doses and placebo dose in VO2 max, run time and number of exercise laps. The result showed no significant effect of caffeine doses over placebo dose.Conclusion
It was concluded that caffeine dose of up to 15mg/kg seems not to have any ergogenic effect on maximum aerobic power of young black African male adults. 相似文献2.
Claudia Lamina Christa Meisinger Iris M Heid Hannelore L?wel Barbara Rantner Wolfgang Koenig Florian Kronenberg 《European heart journal》2006,27(21):2580-2587
AIMS: Peripheral arterial occlusive disease is associated with a high risk of cardiovascular morbidity and mortality. We prospectively examined the association of the ankle-brachial index (ABI) and arterial plaques in carotid and femoral arteries with incident myocardial infarctions (MIs) and cardiovascular and total mortality in 1325 participants of the population-based MONICA Augsburg Survey 1989/90. METHODS AND RESULTS: At baseline, 6.1% of men and 2.6% of women had an ABI < or =0.9. At least one plaque in the carotid or femoral arteries was identified in 51.8% of men and 36.3% of women. During a 13-year follow-up, 58 persons (4.4%) suffered a MI before age 75 and 189 persons (14.3%) died, 86 (6.5%) of them from cardiovascular causes. Kaplan-Meier curves confirmed both measurements as strong predictors for all three endpoints (P<0.0001). Cox regression analysis revealed an increase of the risk for MI and cardiovascular and total mortality of 22 (P=0.012), 35, and 32% (P<0.00001), respectively, per 0.1 unit decrease in ABI. Correction for measurement error in ABI increased these estimates. The increase in risk for MI and cardiovascular and total mortality was 52, 70, and 45%, respectively, for each increase in the number of plaque-affected arteries (P<0.0001). CONCLUSION: Both ABI and number of plaque-affected arteries are strong predictors for incident MI and cardiovascular and total mortality. 相似文献
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A total of 744 paralytic poliomyelitis patients (0-59 months old) were reviewed and results showed a critical and perpetual surge during 2003 (20.2%), 2004 (27.4%) and 2005 (41%). A slight male predominance (56%) was reported and a high incidence was reported in the low socioeconomic (68.3%) and urban setting (60.3%) groups. It was concluded that the polio eradication campaigning programmes in Nigeria had not been successful and that legislation on poliomyelitis was required. 相似文献
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Bailey-Wilson JE Brennan JS Bull SB Culverhouse R Kim Y Jiang Y Jung J Li Q Lamina C Liu Y Mägi R Niu YS Simpson CL Wang L Yilmaz YE Zhang H Zhang Z 《Genetic epidemiology》2011,35(Z1):S92-100
Group 14 of Genetic Analysis Workshop 17 examined several issues related to analysis of complex traits using DNA sequence data. These issues included novel methods for analyzing rare genetic variants in an aggregated manner (often termed collapsing rare variants), evaluation of various study designs to increase power to detect effects of rare variants, and the use of machine learning approaches to model highly complex heterogeneous traits. Various published and novel methods for analyzing traits with extreme locus and allelic heterogeneity were applied to the simulated quantitative and disease phenotypes. Overall, we conclude that power is (as expected) dependent on locus-specific heritability or contribution to disease risk, large samples will be required to detect rare causal variants with small effect sizes, extreme phenotype sampling designs may increase power for smaller laboratory costs, methods that allow joint analysis of multiple variants per gene or pathway are more powerful in general than analyses of individual rare variants, population-specific analyses can be optimal when different subpopulations harbor private causal mutations, and machine learning methods may be useful for selecting subsets of predictors for follow-up in the presence of extreme locus heterogeneity and large numbers of potential predictors. 相似文献
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