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for complete plant taxon and site inventories in large forest areas with the help of orienteering maps, as exemplified by target forests in Switzerland Bilateral Parkinson’s disease model rats exhibit hyperalgesia to subcutaneous formalin administration into the vibrissa pad Microbial diversity and mineral
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Survival kinetics of Listeria monocytogenes on chi... | proLékaře.cz

https://www.prolekare.cz/casopisy/plos-one/2019-12-3/survival-kinetics-of-listeria-monocytogenes-on-chickpeas-sesame-seeds-pine-nuts-and-black-pepper-as-affected-by-relative-humidity-storage-conditions-118713
0226362 Souhrn Nuts and seeds have been increasingly associated with recalls due to contamination with Listeria monocytogenes

Lomax exponential distribution with an application... | proLékaře.cz

https://www.prolekare.cz/casopisy/plos-one/2019-12-3/lomax-exponential-distribution-with-an-application-to-real-life-data-118673
To judge the performance of the model, the goodness of fit measures, AIC, CAIC, BIC, and HQIC are used

CPO Complete, a novel test for fast, accurate phen... | proLékaře.cz

https://www.prolekare.cz/casopisy/plos-one/2019-12-3/cpo-complete-a-novel-test-for-fast-accurate-phenotypic-detection-and-classification-of-carbapenemases-118628
0220586 Souhrn Carbapenemase-producing organisms (CPOs) are Gram-negative bacteria that are typically resistant to most or all antibiotics and are responsible for a global pandemic of high mortality

Antioxidant properties of potato tubers (Solanum t... | proLékaře.cz

https://www.prolekare.cz/casopisy/plos-one/_tmp_80e3fcdedee100003f6ee73a7e7fe7da/antioxidant-properties-of-potato-tubers-solanum-tuberosum-l-as-a-consequence-of-genetic-potential-and-growing-conditions-114449
cz / Odborné časopisy / PLOS One / 2019 - 9 Antioxidant properties of potato tubers (Solanum tuberosum L

Deep-learning-based risk stratification for mortal... | proLékaře.cz

https://www.prolekare.cz/casopisy/plos-one/2019-10-3/deep-learning-based-risk-stratification-for-mortality-of-patients-with-acute-myocardial-infarction-116411
This study aimed to develop and validate deep-learning-based risk stratification for the mortality of patients with AMI (DAMI)