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LYDIA NEÏLA DJOUADI NADJET GUEZLANE-TEBIBEL KENZA MANSOURI HANANE BOUMERDASSI KARIM ARAB MARIE-LAURE FARDEAU FARIDA NATECHE 《Polish journal of microbiology》2020,69(4):491
Currency is one of the most exchanged items in human communities as it is used daily in exchange for goods and services. It is handled by persons with different hygiene standards and can transit in different environments. Hence, money can constitute a reservoir for different types of human pathogens. This study aimed to evaluate the potential of Algerian banknotes to shelter opportunistic pathogenic and multiresistant bacteria. To that end, 200 circulating notes of four different denominations were collected from various places and analyzed for their bacterial loads and contents. Besides, predominant strains were identified and characterized by biochemical and molecular methods, and their resistance profiles against 34 antibiotics were determined. Our results indicated that 100% of the studied banknotes were contaminated with bacteria. The total bacterial concentrations were relatively high, and different bacterial groups were grown, showing important diversity. In total, 48 predominant strains were identified as belonging to 17 genera. Staphylococcus and Micrococcus were the most prevalent genera, followed by Bacillus, Pseudomonas, and Acinetobacter. Antibiotic susceptibility testing showed that all the isolates harbored resistance to at least two molecules, and worrying resistance levels were observed. These findings prove that Algerian currency harbors opportunistic multiresistant bacteria and could potentially act as a vehicle for the spread of bacterial diseases and as a reservoir for antibiotic resistance genes among the community. Therefore, no cash payment systems should be developed and generalized to minimize cash handling and subsequent potential health risks.Key words: currency, Algeria, opportunistic bacteria, antibiotic resistance, circulating resistance genes 相似文献
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MYRON T. LA DUC SHARIFF OSMAN KASTHURI VENKATESWARAN 《Journal of Rapid Methods and Automation in Microbiology》2009,17(3):350-368
Despite advances in the specificity and sensitivity of molecular biological technologies, the efficient recovery of DNA from low-biomass samples remains extremely challenging. Optimal methods to purify biomolecules from such environments should (1) achieve the greatest total yield and (2) reflect the true microbial diversity of the sample. These attributes were assessed from five DNA purification regimes: a standard-manual procedure, MoBio Ultraclean and Promega Wizard kits, and an automated Axcyte AutoLyser method with and without bead-beating agitation. A homogenous mixture of known concentrations of nine distinct bacterial lineages isolated from low-biomass environments was prepared and suitable aliquots of subsamples were processed in parallel. DNA products from each of these methods were then subjected to polymerase chain reaction (PCR), quantitative PCR and 16S rRNA clone-library analysis. The Axcyte AutoLyser outperformed all other purification regimes examined. This automated method consistently both yielded the highest concentration of PCR-amplifiable DNA, and reported species composition most consistent with the starting solution.
This communication carefully examines the effectiveness of common DNA purification regimes as well as an automated method. Comparative analyses convincingly demonstrate that the different methods not only result in different recovery of genomic DNA, but more importantly, different estimations of microbial diversity in the sample. This report will hopefully inspire investigators from various industries (pharmaceutical, ecological, medical, semiconductor, etc.) who find themselves in the initial phases of large-scale studies to devote a significant effort into optimizing sample extraction protocols to achieve the most accurate information. 相似文献
PRACTICAL APPLICATIONS
This communication carefully examines the effectiveness of common DNA purification regimes as well as an automated method. Comparative analyses convincingly demonstrate that the different methods not only result in different recovery of genomic DNA, but more importantly, different estimations of microbial diversity in the sample. This report will hopefully inspire investigators from various industries (pharmaceutical, ecological, medical, semiconductor, etc.) who find themselves in the initial phases of large-scale studies to devote a significant effort into optimizing sample extraction protocols to achieve the most accurate information. 相似文献
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