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Artículos de revistas sobre el tema "Biological assessment"

Autor: Grafiati

Publicado: 4 de junio de 2021

Última modificación: 9 de junio de 2025

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1

Kukletová, I., and P. Buchta. "Façade biological colonisation assessment." IOP Conference Series: Materials Science and Engineering 379 (June 2018): 012035. http://dx.doi.org/10.1088/1757-899x/379/1/012035.

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2

McIntyre, A. D. "Biological Effects and Pollution Assessment." Water Science and Technology 18, no. 4-5 (April 1, 1986): 155–60. http://dx.doi.org/10.2166/wst.1986.0191.

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Techniques for studying biological effects of pollution in the sea are briefly reviewed and the circumstances under which they are most useful in coastal waters considered. Some approaches are particularly suitable for studying pollution hot spots, others for detecting low levels of contamination. The role of the scientist in pollution assessment is discussed and the problems caused by lack of ecological understanding highlighted.

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3

Goldstein, Bernard D. "Biological Markers and Risk Assessment." Drug Metabolism Reviews 28, no. 1-2 (January 1996): 225–33. http://dx.doi.org/10.3109/03602539608994002.

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4

Kikkawa, Jiro. "Biological conservation, monitoring and assessment." Pacific Conservation Biology 1, no. 4 (1994): 373. http://dx.doi.org/10.1071/pc940373.

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Of the three books Ian Spellerberg published from his broad experience in biological monitoring and conservation, Biological Conservation, co-authored by Stev� Hardes, is the most elementary, dealing with practical conservation in concise form. It is published in the Biology in Focus series to supplement mainstream textbooks for senior biology students.

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5

VEECK, LUCINDA L. "Oocyte Assessment and Biological Performance." Annals of the New York Academy of Sciences 541, no. 1 In Vitro Fert (October 1988): 259–74. http://dx.doi.org/10.1111/j.1749-6632.1988.tb22263.x.

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6

Hughes, I. A., Y. Morel, K. McElreavey, and A. Rogol. "Biological assessment of abnormal genitalia." Journal of Pediatric Urology 8, no. 6 (December 2012): 592–96. http://dx.doi.org/10.1016/j.jpurol.2012.10.002.

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7

Delignette-Muller, M. L., and L. Rosso. "Biological variability and exposure assessment." International Journal of Food Microbiology 58, no. 3 (July 2000): 203–12. http://dx.doi.org/10.1016/s0168-1605(00)00274-9.

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8

Dewhurst, Ian C. "Toxicological assessment of biological pesticides." Toxicology Letters 120, no. 1-3 (March 2001): 67–72. http://dx.doi.org/10.1016/s0378-4274(01)00308-3.

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9

Brown, Timothy T., Joshua M. Kuperman, Yoonho Chung, Matthew Erhart, Connor McCabe, Donald J. Hagler, Vijay K. Venkatraman, et al. "Neuroanatomical Assessment of Biological Maturity." Current Biology 22, no. 18 (September 2012): 1693–98. http://dx.doi.org/10.1016/j.cub.2012.07.002.

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10

Tuttle, Camilla S. L., and Andrea B. Maier. "Towards a biological geriatric assessment." Experimental Gerontology 107 (July 2018): 102–7. http://dx.doi.org/10.1016/j.exger.2017.09.017.

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11

Danso, S. K. A. "Assessment of biological nitrogen fixation." Fertilizer Research 42, no. 1-3 (1995): 33–41. http://dx.doi.org/10.1007/bf00750498.

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12

Ibáñez, Inés, Jeffrey M. Diez, Luke P. Miller, Julian D. Olden, Cascade J. B. Sorte, Dana M. Blumenthal, Bethany A. Bradley, et al. "Integrated assessment of biological invasions." Ecological Applications 24, no. 1 (January 2014): 25–37. http://dx.doi.org/10.1890/13-0776.1.

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13

Glass, Bentley. "Biological Aspects of Technology Assessment." Quarterly Review of Biology 80, no. 2 (June 2005): 179–83. http://dx.doi.org/10.1086/433056.

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14

Knudsen, Richard C. "Risk Assessment for Biological Agents in the Laboratory." Journal of the American Biological Safety Association 3, no. 3 (September 1998): 99–104. http://dx.doi.org/10.1177/109135059800300305.

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Risk assessments for using biological agents in the laboratory are qualitative rather than quantitative. A number of risk factors for performing the assessment are identified and discussed in terms of information needed and assessment. A process for performing a qualitative risk assessment for biological agents in the laboratory is presented with an example. This article was presented at the 5th National Symposium on Biosafety held in Atlanta, Georgia on January 17–20, 1998. The Symposium was sponsored by the Centers for Disease Control and Prevention (CDC) and the American Biological Safety Association (ABSA). Reprinted from Rational Basis for Biocontainment Proceedings, ABSA, pp. 56–65.

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15

SATOH, Hiroshi. "Exposure Assessment and Human Biological Monitoring in Risk Assessment." TRENDS IN THE SCIENCES 25, no. 11 (November 1, 2020): 11_74–11_79. http://dx.doi.org/10.5363/tits.25.11_74.

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16

Akhmatullina, N. B., and Sh A. Beisembayeva. "Biological dosimetry and unbiased assessment of detrimental radiation effect on humans." International Journal of Biology and Chemistry 7, no. 2 (2014): 11–15. http://dx.doi.org/10.26577/2218-7979-2014-7-2-11-15.

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17

Mahabish, Mahabish, and Jaya Verma. "An Assessment on Medicinal Uses and Biological Activity of Bryophyllum Pinnatum." International Journal of Research Publication and Reviews 5, no. 4 (April 11, 2024): 5145–49. http://dx.doi.org/10.55248/gengpi.5.0424.1058.

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18

Michael, Joel, Jenny McFarland, and Ann Wright. "The second Conceptual Assessment in the Biological Sciences workshop." Advances in Physiology Education 32, no. 3 (September 2008): 248–51. http://dx.doi.org/10.1152/advan.90122.2008.

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A second National Science Foundation-sponsored workshop on Conceptual Assessment in Biology was held in January 2008. Reports prepared for the workshop revealed that research groups working in a variety of biological sciences are continuing to develop conceptual assessment instruments for use in the classroom. Discussions at this meeting largely focused on two issues: 1) the utility of the backwards design approach of Wiggins and McTighe ( 11 ), in which identification of learning outcomes (determining what to assess) lies at the beginning of course design; and 2) the utility of defining expected learning outcomes as the building of runable mental models (and designing conceptual assessments that would test the correctness of these mental models). A third meeting is being planned that will focus on the processes involved in writing and validating conceptual assessment instruments.

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19

Lele, Omkar Hemant, Jinesh Anant Maniar, Rohit Lalit Chakravorty, Shashikant Prabhakar Vaidya, and Abhay Shadashiv Chowdhary. "Assessment of Biological Activities of Caffeine." International Journal of Current Microbiology and Applied Sciences 5, no. 5 (May 10, 2016): 45–53. http://dx.doi.org/10.20546/ijcmas.2016.505.005.

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20

Ferrera-González, Juan, Laura Francés-Soriano, Cristina Galiana-Roselló, Jorge González-Garcia, María González-Béjar, Eleonore Fröhlich, and Julia Pérez-Prieto. "Initial Biological Assessment of Upconversion Nanohybrids." Biomedicines 9, no. 10 (October 9, 2021): 1419. http://dx.doi.org/10.3390/biomedicines9101419.

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Nanoparticles for medical use should be non-cytotoxic and free of bacterial contamination. Upconversion nanoparticles (UCNPs) coated with cucurbit[7]uril (CB[7]) made by combining UCNPs free of oleic acid, here termed bare UCNPs (UCn), and CB[7], i.e., UC@CB[7] nanohybrids, could be used as photoactive inorganic-organic hybrid scaffolds for biological applications. UCNPs, in general, are not considered to be highly toxic materials, but the release of fluorides and lanthanides upon their dissolution may cause cytotoxicity. To identify potential adverse effects of the nanoparticles, dehydrogenase activity of endothelial cells, exposed to various concentrations of the UCNPs, was determined. Data were verified by measuring lactate dehydrogenase release as the indicator of loss of plasma membrane integrity, which indicates necrotic cell death. This assay, in combination with calcein AM/Ethidium homodimer-1 staining, identified induction of apoptosis as main mode of cell death for both particles. The data showed that the UCNPs are not cytotoxic to endothelial cells, and the samples did not contain endotoxin contamination. Higher cytotoxicity, however, was seen in HeLa and RAW 264.7 cells. This may be explained by differences in lysosome content and particle uptake rate. Internalization of UCn and UC@CB[7] nanohybrids by cells was demonstrated by NIR laser scanning microscopy.

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21

SHIMOKATA, Hiroshi, and Kazuaki SHIBATA. "1. Assessment of Biological Aging Status." Japanese Journal of Medicine 25, no. 1 (1986): 85–87. http://dx.doi.org/10.2169/internalmedicine1962.25.85.

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22

ST-GERMAIN, PASCALE, and NURAL KUYUCAK. "Biological Water Covers - A Preliminary Assessment." Mineral Processing and Extractive Metallurgy Review 19, no. 1 (January 1998): 39–45. http://dx.doi.org/10.1080/08827509608962427.

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23

Sultan, Rafi Akhtar, Saad Bin Zafar Mahmood, Iqbal Azhar, Syed Waseemuddin Ahmed, and Zafar Alam Mahmood. "Biological Activities Assessment ofCentella asiatica(Linn.)." Journal of Herbs, Spices & Medicinal Plants 20, no. 3 (February 25, 2014): 319–27. http://dx.doi.org/10.1080/10496475.2013.869521.

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24

Lele, A. V. "Biological terrorism: Threat and risk assessment." Strategic Analysis 26, no. 3 (July 2002): 341–55. http://dx.doi.org/10.1080/09700160208450051.

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25

Mackenzie, David R., and Jean Larson. "The national biological impact assessment program∗." Toxicological & Environmental Chemistry 28, no. 2-3 (July 1990): 115–20. http://dx.doi.org/10.1080/02772249009357595.

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26

Nenot, J. C. "Biological Indicators for Radiation Dose Assessment." International Journal of Radiation Biology and Related Studies in Physics, Chemistry and Medicine 52, no. 1 (January 1987): 177. http://dx.doi.org/10.1080/09553008714551601.

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27

Debus, A., A. Boulanger, and E. Telmar. "Biological assessment of Ariane 5 fairing." Advances in Space Research 42, no. 6 (September 2008): 1139–43. http://dx.doi.org/10.1016/j.asr.2007.08.027.

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28

Gołofit-Szymczak, Małgorzata, and Rafał L. Górny. "Harmful biological agents: occupational risk assessment." Occupational Safety – Science and Practice 556, no. 1 (January 22, 2018): 8–12. http://dx.doi.org/10.5604/01.3001.0010.8006.

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Criteria for risk assessment are listed in the ordinance of the Minister of Health on harmful biological agents in the workplace and the protection of workers exposed to those agents. Accordingly, risk assessment should be based on all available information including classification of biological agents, risk groups 2-4; information on diseases which may be contracted as a result of work; information on diseases from which workers are found to be suffering and which have a direct connection with their work; recommendations from competent sanitary authorities; National Labour Inspectorate; and occupational medicine services.

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29

Arefiev, V., N. Mykhailova, and О. Salamakha. "Biological age assessment method teenage students." Scientific Journal of National Pedagogical Dragomanov University. Series 15. Scientific and pedagogical problems of physical culture (physical culture and sports), no. 3K(176) (March 18, 2024): 57–62. http://dx.doi.org/10.31392/udu-nc.series15.2024.3k(176).12.

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To assess the biological age of adolescents, the special literature offers 9 methods for boys and 14 methods for girls. The aim of the article was to determine the more informative methods for boys and girls. Methods: anthropometry, somatometry, somatoscopy, tonometry, spirometry, dynamometry, Hench and Shtange tests, Ruffier and Robinson indices. The interaction of the results of different methods for the assessment of biological age was analysed using factor analysis (principal components method) for groups of subjects of the same gender and age. Boys aged 14-15 (n=102) and girls aged 12-13 (n=101) were studied. The choice of these age groups was explained by the presence of the most significant individual differences in morpho-functional features in the school students of this age. Results: among the methods for assessment of biological age in adolescent school students proposed in the literature, there is not a single one that would be statistically siginificantly related to the other methods. This applies to both boys and girls. The biological age of adolescents can be reliably determined using a set of three components: an assessment of physical development, the heterochronicity index, and the degree of manifestation of secondary sexual characteristics (for boys with a probability of 90.2%, for girls - 92.1%). The percentage ratio of these components has gender peculiarities. Methods for assessing biological age for scientific purposes and quick assessment for use in the practice of physical education and sports are proposed. The indicators in quick assessment technique include body length and the degree of development of the axillary hair. The reliability of the quick assessment technique is 81.4% for boys and 83.2% for girls. Conclusion: the development of adequate physical activity for adolescents of different biological ages will help to improve the physical health of the younger generation.

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30

Schellinger, Jennifer, Patrick J. Enderle, Kari Roberts, Sam Skrob-Martin, Danielle Rhemer, and Sherry A. Southerland. "Describing the Development of the Assessment of Biological Reasoning (ABR)." Education Sciences 11, no. 11 (October 21, 2021): 669. http://dx.doi.org/10.3390/educsci11110669.

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Assessments of scientific reasoning that capture the intertwining aspects of conceptual, procedural and epistemic knowledge are often associated with intensive qualitative analyses of student responses to open-ended questions, work products, interviews, discourse and classroom observations. While such analyses provide evaluations of students’ reasoning skills, they are not scalable. The purpose of this study is to develop a three-tiered multiple-choice assessment to measure students’ reasoning about biological phenomena and to understand the affordances and limitations of such an assessment. To validate the assessment and to understand what the assessment measures, qualitative and quantitative data were collected and analyzed, including read-aloud, focus group interviews and analysis of large sample data sets. These data served to validate our three-tiered assessment called the Assessment of Biological Reasoning (ABR) consisting of 10 question sets focused on core biological concepts. Further examination of our data suggests that students’ reasoning is intertwined in such a way that procedural and epistemic knowledge is reliant on and given meaning by conceptual knowledge, an idea that pushes against the conceptualization that the latter forms of knowledge construction are more broadly applicable across disciplines.

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31

Myrzakhmetova, B. Sh, G. A. Zhapparova, T. M. Tlenchiyeva, K. B. Bissenbayeva, A. A. Tussipova, K. D. Zhugunissov, and L. B. Kutumbetov. "ASSESSMENT OF BIOLOGICAL RISKS IN INFECTIOUS DISEASES TO ENSURE BIOLOGICAL SAFETY." Eurasian Journal of Applied Biotechnology, no. 4 (November 19, 2024): 52–59. http://dx.doi.org/10.11134/btp.4.2024.5.

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The territory of the Republic of Kazakhstan is unfavorable for a number of infectious diseases of animals and humans that pose an enzootic biological threat. Such nosological units include anthrax, blackleg, rabies, leukemia, brucellosis, tuberculosis, pasteurellosis, sheep pox, camel pox, CCHF, highly pathogenic avian influenza, foot-and-mouth disease, tick-borne encephalitis, influenza A and B, infectious hepatitis, Newcastle disease, seasonal flu, coronavirus infection COVID-19, etc., some of which affect only animals or humans, and some affect both animals and humans. While some of these diseases are natural focal and pose a constant biological threat, others appear from time to time, penetrating from neighboring countries or develop as a result of movement from the wild - reservoirs and hidden carriers of pathogens. A number of exotic diseases pose a real threat of penetration from outside the country due to interstate movements of people, animals, feed and animal products.

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32

Manini, Paola. "Assessment of occupational exposures and biological variability by using biological monitoring." Toxicology Letters 164 (September 2006): S21. http://dx.doi.org/10.1016/j.toxlet.2006.06.047.

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33

Kuparinen, Anna, Samu Mäntyniemi, Jeffrey A. Hutchings, and Sakari Kuikka. "Increasing biological realism of fisheries stock assessment: towards hierarchical Bayesian methods." Environmental Reviews 20, no. 2 (June 2012): 135–51. http://dx.doi.org/10.1139/a2012-006.

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Excessively high rates of fishing mortality have led to rapid declines of several commercially important fish stocks. To harvest fish stocks sustainably, fisheries management requires accurate information about population dynamics, but the generation of this information, known as fisheries stock assessment, traditionally relies on conservative and rather narrowly data-driven modelling approaches. To improve the information available for fisheries management, there is a demand to increase the biological realism of stock-assessment practices and to better incorporate the available biological knowledge and theory. Here, we explore the development of fisheries stock-assessment models with an aim to increasing their biological realism, and focus particular attention on the possibilities provided by the hierarchical Bayesian modelling framework and ways to develop this approach as a means of efficiently incorporating different sources of information to construct more biologically realistic stock-assessment models. The main message emerging from our review is that to be able to efficiently improve the biological realism of stock-assessment models, fisheries scientists must go beyond the traditional stock-assessment data and explore the resources available in other fields of biological research, such as ecology, life-history theory and evolutionary biology, in addition to utilizing data available from other stocks of the same or comparable species. The hierarchical Bayesian framework provides a way of formally integrating these sources of knowledge into the stock-assessment protocol and to accumulate information from multiple sources and over time.

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34

Minero, A. S., O. B. Runova, O. B. Ustinnikova, and A. A. Movsesyants. "Prospects for ion chromatography in quality assessment of biologicals." Biological Products. Prevention, Diagnosis, Treatment 22, no. 2 (June 14, 2022): 154–69. http://dx.doi.org/10.30895/2221-996x-2022-22-2-154-169.

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Quantitative characterisation of excipients in biologicals is an important part of the quality assurance process both at the level of finished products and intermediates, as well as active pharmaceutical ingredients. Ion chromatography with amperometric and conductometric detection of separation products has a number of advantages. The main of the advantages is the possibility of direct determination of semivolatile compounds that have neither chromophoric groups, nor intrinsic fluorescence. The aim of this study was to compare ion chromatography with alternative methods in order to identify promising areas for its use in assessing the quality of biologicals. The authors analysed regulatory documents and literature and summarised the methods applied for quantitative determination of ionic excipients in biological medicinal products. The authors investigated the possibility of using ion chromatography for determination of the main active pharmaceutical ingredient in polysaccharide vaccines and excipients in biologicals. The study demonstrated the feasibility of ion chromatography for simultaneous quantitation of cations (ammonium, calcium, magnesium) and anions (chlorides, sulfates, nitrates) in reconstitution solvents for lyophilised biologicals; quality assessment of active pharmaceutical ingredients in biologicals (quantitative analysis of polysaccharides in polysaccharide vaccines, profiling of glycosylated proteins, etc.); and determination of several carbohydrate stabilisers in biologicals with the same analytical procedure. According to the conclusions, ion-exchange chromatography with conductometric and amperometric detection, aimed at quality assessment of biological products, can shortly take a leading position in quantitation of ionic excipients, carbohydrate stabilisers, and main active ingredients (polysaccharides) in polysaccharide vaccines, including the vaccines in the immunisation schedule.

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35

Epishina, Tatiana M. "ASSESSMENT OF BIOLOGICAL INFLUENCE OF CHLOROQUINOLINE DERIVATIVE." Hygiene and sanitation 97, no. 6 (June 15, 2018): 505–8. http://dx.doi.org/10.18821/0016-9900-2018-97-6-505-508.

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Introduction. The antidote of chloroquinoline derivative contains in the stuff of selective, post-emergence herbicide of systemic action against a broad spectrum of annual cereals weeds for one-time ground handings of spring and winter weed crops. Cultural cereals are protected by the presence of the antidote chlorhinoline derivative in the preparation. The aim of the study. To investigate the exploring chronic influence of the antidote chloroquinoline derivative in its multiple entering warm-blooded organisms (male rats) for finding out the kind of the biological influence, active and non-active doses, were conducted. Material and methods. White rats were used in the acute experiments (6 animals per group). Doses of 1000-7000 mg/kg were tested. The chronic experiment was executed on 80 rats. Doses of 0.4; 4.0 and 40 mg/kg were tested. The estimation of the animals behavior, food, and water consumption, terms of animals death was fixed, alterations in body weight, physiological, biochemical and hematological indices were registered in the experiment were conducted. Results. The evaluation of general behavior of animals received antidote in dose of 40.0 mg/kg gave such a result as the deviation in such indices as behavior responses and SPP, analysis of hematological and biochemical tests showed the alteration in lipid and lipoprotein metabolism; aminoalkyl metabolism; anaerobic glycolic to take place in animals’organisms. Conclusion. Indices of the acute peroral toxicity of antidote LD50 in male rats, peroral: 4349 ± 840 mg/kg b.w. hazard class - 4 according to hygienic pesticide classification on hazard class (SanPin 1.2.2584-10) were established. 2. Active 40,0 mg/kg and non-active (NOELch) 4,0 mg/kg the dose was established. 3. The admissible day dose (ADD) for a human of 0.04 mg/kg b.w. was justified.

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36

Badyugin, I. S. "Assessment of biological and calculation dosimetry methods." Kazan medical journal 75, no. 5 (September 15, 1994): 362–67. http://dx.doi.org/10.17816/kazmj90557.

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The formula is proposed for the calculation of contamination density by gamma-active caesium isotopes by radiation background and vice versa: 1 Ci/km2= (7,550,44) R/h. This equation practically corresponds to our calculations by Zhuravlev reference: 1 Ci/km2=7,7 R/h. The hematologic nomograms allow a physician to be quickly oriented in the diagnosis and medical assortment of acute damages of persons by uniform gamma-irradiation in the range of doses between 1 and 10 Gy. Adapted to the Chernobyl accident conditions the calculation method of the determination of small doses of chronic irradiation by the Blare mathematical model is simple and convenient. By its results it is close to the probabilistic model of chronic irradiation used by the international group Chernobyl project.

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37

Nazir, M. Shafi, Abdul Jabbar, Ashiq Hussain, M. Saeed, and Shah Nawaz. "Biological Assessment of Proportional Linseed-methra Intercropping." Pakistan Journal of Biological Sciences 3, no. 3 (February 15, 2000): 481–82. http://dx.doi.org/10.3923/pjbs.2000.481.482.

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38

Nazarova, Orzugul, Kamoldjon Mahmudov, Abdukarim Muminov, and Shuhrat Jumaev. "Risk assessment of biological safety in Tajikistan." Agricultural Technologies 1, no. 2 (2019): 34–39. http://dx.doi.org/10.35599/agritech/01.02.05.

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This article presents data from an analysis of the epidemiological and epizootological situation in the Republic of Tajikistan, for various infectious diseases circulating both in the territory of the republic and in neighboring countries. The factors affecting the occurrence of additional risks of the introduction of pathogens of highly infectious diseases, both for humans and animals, are identified. The risks of the spread of highly infectious diseases during laboratory research are determined. The role of food additives used in animal feed and their impact on the health of animals and humans was studied; the risk of biological safety when using medicine drugs was assessed, and ways to counter increasing biological hazards were identified, recommendations for reducing the risks of biological safety in Tajikistan were given.

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39

Ling, Joanne E., and Surrey W. J. Jacobs. "Biological assessment of wetlands:testing techniques - preliminary results." Wetlands Australia 21, no. 1 (January 8, 2010): 36. http://dx.doi.org/10.31646/wa.250.

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40

Hamm, A. "Biological assessment of phosphate substitutes for detergents." SIL Proceedings, 1922-2010 24, no. 4 (September 1991): 2138–40. http://dx.doi.org/10.1080/03680770.1989.11899911.

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41

Sutton, Ann. "Environmental Assessment Requirements for Live Biological Drugs." Clinical Infectious Diseases 46, s2 (February 2008): S112—S114. http://dx.doi.org/10.1086/523330.

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42

Dimitrakakis, G., S. R. R. Podila, P. A. O'Keefe, and N. E. P. Kulatilake. "Biological glue: a word of careful assessment!" Interactive CardioVascular and Thoracic Surgery 13, no. 2 (July 20, 2011): 244–45. http://dx.doi.org/10.1510/icvts.2011.273094a.

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43

Martinez, Kenneth, Carol Rao, and Nancy Burton. "Exposure assessment and analysis for biological agents." Grana 43, no. 4 (December 2004): 193–208. http://dx.doi.org/10.1080/00173130410000794.

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44

Glaeser, Robert M., and Kenneth H. Downing. "Assessment of resolution in biological electron crystallography." Proceedings, annual meeting, Electron Microscopy Society of America 49 (August 1991): 490–91. http://dx.doi.org/10.1017/s0424820100086751.

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In the present context the discussion of “biological electron crystallography” will be limited to structural studies of thin, two-dimensional (2-D) crystals, although a broader definition, including even single molecules, is certainly justified. The restriction to 2-D crystals provides the useful simplification that all of the information about the specimen-structure is confined to discrete diffraction spots in the computed Fourier transform of the electron micrographs. The absolute limit of resolution in a structural study is then given by the highest resolution term in the computed Fourier series that is used to synthesize a density-map representation of the specimen, which may be either a 2-D projection or a three-dimensional (3-D) reconstruction. The apparent simplicity of the above definition of “limiting resolution” disguises the fact that the structurally useful, or practical limit of resolution must invariably be somewhat poorer than the objectively determined resolution of the “highest resolution spot” included in the Fourier synthesis of a density map.

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45

Bedano, José Camilo, Anahí Domínguez, and Romina Arolfo. "Assessment of soil biological degradation using mesofauna." Soil and Tillage Research 117 (December 2011): 55–60. http://dx.doi.org/10.1016/j.still.2011.08.007.

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46

Harris, Adrian R., Raymond L. Correll, and Paul G. Adkins. "A Risk Assessment Method for Biological Introductions." Risk Analysis 19, no. 3 (June 1999): 327–34. http://dx.doi.org/10.1111/j.1539-6924.1999.tb00410.x.

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47

Hirsch, D. R., D. V. Schiavone, A. J. Berkowitz, L. A. Morrison, T. Masaoka, J. A. Wilson, E. Lomonosova, et al. "Synthesis and biological assessment of 3,7-dihydroxytropolones." Organic & Biomolecular Chemistry 16, no. 1 (2018): 62–69. http://dx.doi.org/10.1039/c7ob02453c.

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48

Belyaev, A. I., A. V. Pavlenko, N. V. Tyutyuma, V. N. Pavlenko, and Yu N. Petrov. "ECONOMIC AND BIOLOGICAL ASSESSMENT OF BEAN VARIETIES." THEORETICAL & APPLIED PROBLEMS OF AGRO-INDUSTRY 54, no. 4 (2022): 21–25. http://dx.doi.org/10.32935/2221-7312-2022-54-4-21-25.

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Resumen

The article presents the results of agroecological studies of not only the collection of common beans under the conditions of the subtype of light chestnut soils of the Astrakhan region, but also worked out the method of sowing various varieties, the seeding rate, inoculation of seeds with rhizotorphin during drip irrigation. Light chestnut soils, a test culture of beans, and the drug rhizotorfin were chosen as objects of study. The study showed that when cultivating common bean under irrigation conditions in the Astrakhan region on a subtype of light chestnut soils, it is advisable to carry out pre-sowing inoculation of seeds with rhizotorphin, which ensures a stable yield of common bean seeds under drip irrigation, and also contributes to the accumulation of biological nitrogen and maintaining a positive balance of organic matter in the soil. During variety testing, the selection of promising varieties and samples was carried out according to their responsiveness to the introduced mineral nitrogen, as well as according to the reaction to inoculation with a rhizotorphin strain. The optimal soil moisture in the study of bean collections with drip irrigation was maintained during the period of full shoots-budding - 65 ... 70% HB, budding - flowering - 70 ... As a result of the study, a positive effect of seed treatment with rhizotorphin was established, so the vegetation period for varieties was reduced by 1 ... productivity. A positive trend was also noted not only when comparing varieties of the second background with varieties of the first, but also inoculated varieties with the standard - Oka, which also confirms the positive value of presowing seed treatment with rhizotorfin. Thus, based on the data obtained, under conditions of drip irrigation on light chestnut soils, it is economically feasible to sow in a wide-row method (0.70 m) with a seeding rate of 500,000 germinating seeds per hectare and carry out pre-sowing seed inoculation with rhizotorphin.

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Buoso, M. C., S. Galassini, M. Makarewicz, F. Monti, G. Moschini, R. Ogris, O. Valkovic, and V. Valkovic. "Assessment of selenium status in biological material." Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms 75, no. 1-4 (April 1993): 169–72. http://dx.doi.org/10.1016/0168-583x(93)95636-j.

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MacIntyre, I., A. Kehely, M. Zaidi, and R. Seth. "Biological activity of calcitonin and its assessment." Experimental Gerontology 25, no. 3-4 (January 1990): 331–38. http://dx.doi.org/10.1016/0531-5565(90)90070-i.

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