Готові списки джерел за темами / Toxicological estimation

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Добірка наукової літератури з теми "Toxicological estimation"

Автор: Grafiati
Опубліковано: 30 травня 2022
Оновлено: 31 травня 2022

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Статті в журналах з теми "Toxicological estimation"

1

Klepper, Olivier, and Jacques J. M. Bedaux. "Nonlinear parameter estimation for toxicological threshold models." Ecological Modelling 102, no. 2-3 (October 1997): 315–24. http://dx.doi.org/10.1016/s0304-3800(97)00066-5.

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2

Hall, Lowell H., and Lemont B. Kier. "Estimation of environmental and toxicological properties: Approach and methodology." Environmental Toxicology and Chemistry 8, no. 1 (January 1989): 19–24. http://dx.doi.org/10.1002/etc.5620080103.

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3

Linhartova, L., and M. Ezechias. "Estimation of agonistic and antagonistic moieties from toxicological mixture experiments." Toxicology Letters 350 (September 2021): S238. http://dx.doi.org/10.1016/s0378-4274(21)00791-8.

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4

Khairullin, Damir, Alexander Ovsyannikov, Olga Zalyalyeva, Svetlana Faleeva, and Irina Vorobyeva. "Toxicological estimation of the carbon-vitamin-mineral concentrat "Lizunets Solevit" (S-1)." Proceedings of the Kuban State Agrarian University 1, no. 79 (2019): 220–23. http://dx.doi.org/10.21515/1999-1703-79-220-223.

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5

Rafikova, G. F., E. V. Kuzina, and O. N. Loginov. "TOXICOLOGICAL ESTIMATION OF MICROORGANISM PAENIBACILLUS EHIMENSIS IB 739 AND PREPARATION BACISPETSIN BM." ÈKOBIOTEH 1, no. 2 (2018): 63–70. http://dx.doi.org/10.31163/2618-964x-2018-1-2-63-70.

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6

Klepper, Olivier, and Jaques J. M. Bedaux. "A robust method for nonlinear parameter estimation illustrated on a toxicological model." Nonlinear Analysis: Theory, Methods & Applications 30, no. 3 (December 1997): 1677–86. http://dx.doi.org/10.1016/s0362-546x(97)00104-1.

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7

Escuder-Gilabert, L., R. M. Villanueva-Camañas, S. Sagrado, and M. J. Medina-Hernandez. "Permeability and toxicological profile estimation of organochlorine compounds by biopartitioning micellar chromatography." Biomedical Chromatography 23, no. 4 (April 2009): 382–89. http://dx.doi.org/10.1002/bmc.1126.

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8

Rendle, D. F., and J. F. Taylor. "Application of Xrf to the Detection and Estimation of Metals in Toxicological Specimens." Advances in X-ray Analysis 39 (1995): 869–79. http://dx.doi.org/10.1154/s0376030800023351.

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Анотація:
The Metropolitan Police Forensic Science Laboratory is faced from time to time with cases which require the detection and estimation of metals in biological matrices. These cases generally concern instances, allegations or threats of poisoning and require the analysis of either foodstuffs or body fluids, or both. The elements of particular interest are antimony, arsenic, bismuth, cadmium, lead, mercury, and thallium.
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9

Nakao, Ken-Ichiro. "Experimental Study on Age Estimation of Bloodstains Based on Biological and Toxicological Analysis." Open Forensic Science Journal 6, no. 1 (October 18, 2013): 6–11. http://dx.doi.org/10.2174/1874402801306010006.

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10

Petrov, A. N., and E. L. Nevrova. "Estimation of cell distribution heterogeneity at toxicological experiments with clonal cultures of benthic diatoms." Marine Biological Journal 5, no. 2 (June 30, 2020): 76–87. http://dx.doi.org/10.21072/mbj.2020.05.2.07.

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Анотація:
An increase in anthropogenic pressure on coastal water areas requires regular monitoring of marine ecosystems. The appropriate bioindicators for indirect assessment of the quality of the near-shore environment are benthic diatom algae, which are a key element of coastal communities and are highly sensitive to environmental impact. Changes in the development of diatoms under the influence of various toxicants may be used as relevant tool for monitoring of marine environment quality. However, scientific and methodological approaches to application of benthic diatom algae as test objects remain unstudied. One of the important methodological problems is the assessment of the significance of the samples in experimental vessels when counting cells abundance at different stages of toxicological test. The study is focused on assessment of the statistical significance of the equality of the initial mean number of cells of clonal culture inoculum placed into each of the replicates, as well as the statistical uniformity of cell distribution over the entire bottom area of Petri dishes. We used clonal cultures of three benthic diatom species belonging to different classes of Bacillariophyta: Thalassiosira excentrica Cleve, 1903 (Coscinodiscophycea), Ardissonea crystallina (C. Agardh) Grunow, 1880 (Fragilariophyceae), and Pleurosigma aestuarii (Bréb. in Kütz.) W. Smith, 1853 (Bacillariophyceae). They significantly differ in valve morphology and life history (floating in water mass, attached to substrate, and motile). The results of statistical comparison of cell number variability in the experiment for all studied species confirmed the absence of significant differences between the mean values of the tested parameter at a standard significance level (0.05). It was shown that despite specific differences in cell growth rate during the experiment, the variability in cell number in the microscope viewing fields varies irregularly. The highest value of the variability coefficient was observed on the 5th day for the small-sized species T. excentrica (Cv = 42…55 %), and the lowest variability – for the large-cell species A. crystallina (Cv = 27…31 %). The absence of significant differences in cell number between three replicates (for each species) was established both during the initial placing of inoculum into the dishes and on the following days of the experiment. The conclusion is applicable for each of diatom species studied, which allows to consider all replicates as subsamples of the replicate sample and to average the results obtained at different stages of the toxicological experiment. The uniformity of cell distribution throughout experimental dishes bottom, which does not depend on species and absolute cell number, was statistically proven. The results obtained allow to statistically reliably estimate the changes in cell number at different stages of toxicological experiment according to replicate sampling, based on cell counting in a limited number of viewing fields.
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Більше джерел

Дисертації з теми "Toxicological estimation"

1

Гущенко, В. А., та Вероника Владимировна Горбенко. "Влияние пищевых добавок на здоровье человека". Thesis, НТУ "ХПИ", 2015. http://repository.kpi.kharkov.ua/handle/KhPI-Press/25338.

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Анотація:
Необходимость широкого информирования населения о влиянии продуктов, содержащих потенциально опасные пищевые добавки.
Necessity of wide information of population about influencing of the products, containing potentially dangerous food additions.
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2

Monteagudo, Maykel Cruz. "Multi-Objective Optimization Based on Desirability Estimation of Several Interrelated Responses (MOOp-DESIRe): A Computer-Aided Methodology for Multi-Criteria Drug Discovery." Tese, Faculdade de Farmácia da Universidade do Porto, 2009. http://hdl.handle.net/10216/63799.

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Monteagudo, Maykel Cruz. "Multi-Objective Optimization Based on Desirability Estimation of Several Interrelated Responses (MOOp-DESIRe): A Computer-Aided Methodology for Multi-Criteria Drug Discovery." Doctoral thesis, Faculdade de Farmácia da Universidade do Porto, 2009. http://hdl.handle.net/10216/63799.

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4

Fernandes, Agostinho. "Estimativa da flora microbiana e potenciais patogénicos em fórmulas alimentares para lactentes." Master's thesis, 2007. http://hdl.handle.net/10451/228.

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Частини книг з теми "Toxicological estimation"

1

Rendle, D. F., and J. F. Taylor. "Application of Xrf to the Detection and Estimation of Metals in Toxicological Specimens." In Advances in X-Ray Analysis, 869–79. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4615-5377-9_98.

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2

Hoel, D. G. "Incorporation of Pharmacokinetics in Low-Dose Risk Estimation." In Toxicological Risk Assessment, 205–14. CRC Press, 2019. http://dx.doi.org/10.1201/9780429289965-10.

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3

Renwick, Andrew G. "Exposure Estimation, Toxicological Requirements and Risk Assessment." In international Food Safety handbook, 59–94. Routledge, 2019. http://dx.doi.org/10.1201/9780203750346-5.

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4

"Another important characteristic of a radiation process is the overall average dose. It was used by the 1980 Joint FAO/IAEA/WHO Expert Committee on the Wholesomeness of Irradiated Food when the Committee concluded “ that the irradiation of any food commodity up to an overall average dose of 10 kGy presents no toxicological hazard.” The overall average dose is the arithmetic mean value of all dose meter readings in a given irradiation run. To determine this value, an adequate number of dose meters must be randomly distributed in the food as it is exposed to the radiation. The number of dose meters is considered adequate if it permits estimation of the dose distribution in each portion of the food material of different density and if the measurements are representative for all dose and density fluctuations during a usual run. The Joint Expert Committee recognized that “ the overall average dose may result in a fraction of the food receiving a maximum absorbed dose up to 50% higher” (35). The Committee’s approval of irradiated foods up to an overall average dose of 10 kGy thus recognized the fact that some parts of the food so irradiated will receive a dose of." In Safety of Irradiated Foods, 56. CRC Press, 1995. http://dx.doi.org/10.1201/9781482273168-45.

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