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Добірка наукової літератури з теми "FAME ANALYSIS"

Автор: Grafiati
Опубліковано: 11 вересня 2023

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Статті в журналах з теми "FAME ANALYSIS"

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Cuccurullo, Claudia, Pasquale Striano, and Antonietta Coppola. "Familial Adult Myoclonus Epilepsy: A Non-Coding Repeat Expansion Disorder of Cerebellar–Thalamic–Cortical Loop." Cells 12, no. 12 (June 13, 2023): 1617. http://dx.doi.org/10.3390/cells12121617.

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Familial adult myoclonus Epilepsy (FAME) is a non-coding repeat expansion disorder that has been reported under different acronyms and initially linked to four main loci: FAME1 (8q23.3–q24.1), FAME 2 (2p11.1–q12.1), FAME3 (5p15.31–p15.1), and FAME4 (3q26.32–3q28). To date, it is known that the genetic mechanism underlying FAME consists of the expansion of similar non-coding pentanucleotide repeats, TTTCA and TTTTA, in different genes. FAME is characterized by cortical tremor and myoclonus usually manifesting within the second decade of life, and infrequent seizures by the third or fourth decade. Cortical tremor is the core feature of FAME and is considered part of a spectrum of cortical myoclonus. Neurophysiological investigations as jerk-locked back averaging (JLBA) and corticomuscular coherence analysis, giant somatosensory evoked potentials (SEPs), and the presence of long-latency reflex I (or C reflex) at rest support cortical tremor as the result of the sensorimotor cortex hyperexcitability. Furthermore, the application of transcranial magnetic stimulation (TMS) protocols in FAME patients has recently shown that inhibitory circuits are also altered within the primary somatosensory cortex and the concomitant involvement of subcortical networks. Moreover, neuroimaging studies and postmortem autoptic studies indicate cerebellar alterations and abnormal functional connectivity between the cerebellum and cerebrum in FAME. Accordingly, the pathophysiological mechanism underlying FAME has been hypothesized to reside in decreased sensorimotor cortical inhibition through dysfunction of the cerebellar–thalamic–cortical loop, secondary to primary cerebellar pathology. In this context, the non-coding pentameric expansions have been proposed to cause cerebellar damage through an RNA-mediated toxicity mechanism. The elucidation of the underlying pathological mechanisms of FAME paves the way to novel therapeutic possibilities, such as RNA-targeting treatments, possibly applicable to other neurodegenerative non-coding disorders.
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Syed Sajeed Ali, Syed Sajeed Ali. "FAME Analysis for Identification of Clinical Isolate Siderophore Producing Pseudomonas Species." Indian Journal of Applied Research 3, no. 11 (October 1, 2011): 424–26. http://dx.doi.org/10.15373/2249555x/nov2013/135.

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Shihora, Nidhi A. "Isolation and characterizations of halotolerant bacteria and identification by FAME analysis." Indian Journal of Applied Research 3, no. 9 (October 1, 2011): 51–53. http://dx.doi.org/10.15373/2249555x/sept2013/16.

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Dewaliya, Vijaya, and Raashi Jasodani. "Isolation and Identification of soil isolates of Pseudomonas species via FAME analysis." International Journal of Scientific Research 2, no. 9 (June 1, 2012): 360–61. http://dx.doi.org/10.15373/22778179/sep2013/126.

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Boele, Joost, Brett G. Olivier, and Bas Teusink. "FAME, the Flux Analysis and Modeling Environment." BMC Systems Biology 6, no. 1 (2012): 8. http://dx.doi.org/10.1186/1752-0509-6-8.

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Kaufman, James C., Alan S. Kaufman, and Nadeen L. Kaufman. "Applying Multiple Regression Analysis to Baseball Hall of Fame Membership." Perceptual and Motor Skills 81, no. 3_suppl (December 1995): 1328–30. http://dx.doi.org/10.2466/pms.1995.81.3f.1328.

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Multiple regression procedures were used to predict membership in baseball's Hall of Fame. The sample included 62 former baseball players, 31 who were elected to the Hall of Fame and 31 good players who were not elected. Using a variety of predictors, it was possible to account for about 50 to 66% of the variance in Hall of Fame selection.
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Kaufman, Alan S., and James C. Kaufman. "Multiple Regression Analysis and Baseball Hall of Fame Membership: Part II. Focus on Pitchers." Perceptual and Motor Skills 82, no. 3 (June 1996): 883–89. http://dx.doi.org/10.2466/pms.1996.82.3.883.

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In a previous study, multiple regression analysis was used to predict membership in baseball's Hall of Fame for nonpitchers. For this study, similar procedures were used to predict Hall of Fame status for pitchers. The sample included 40 former baseball pitchers, 20 who were elected to the Hall of Fame and 20 good pitchers who were not elected. Using numerous predictors, it was possible to account for about 60 to 73% of the variance in the selection of pitchers to the Hall of Fame.
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Graham, P. H., M. J. Sadowsky, S. W. Tighe, J. A. Thompson, R. A. Date, J. G. Howieson, and R. Thomas. "Differences among strains of Bradyrhizobium in fatty acid–methyl ester analysis." Canadian Journal of Microbiology 41, no. 11 (November 1, 1995): 1038–42. http://dx.doi.org/10.1139/m95-144.

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Fatty acid–methyl ester (FAME) and two-dimensional principal component analysis of 89 strains of Bradyrhizobium, most of which were from soybean, distinguished five groups of bradyrhizobia. These included one cluster containing several isolates previously designated as Bradyrhizobium elkanii, and two related clusters containing strains previously identified as belonging to Bradyrhizobium japonicum groups IA and IB. Not all of the organisms evaluated clustered with the B. japonicum and B. elkanii strains. A number of Bradyrhizobium strains isolated from soybean in Korea and northern Thailand had FAME profiles so different from the B. japonicum and B. elkanii strains as to warrant separation at the species level. A slow-growing isolate from Lupinus also had a FAME profile very different from those of the other bradyrhizobia. Results obtained in this study were generally in agreement with those obtained using other taxonomic approaches, suggesting that FAME analysis provides a relatively simple and reliable procedure for the initial characterization of Bradyrhizobium isolates.Key words: fatty acid analysis, Bradyrhizobium taxonomy, FAME analysis, strain identification.
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Anuar, S. T., S. M. Mugo, and J. M. Curtis. "A flow-through enzymatic microreactor for the rapid conversion of triacylglycerols into fatty acid ethyl ester and fatty acid methyl ester derivatives for GC analysis." Analytical Methods 7, no. 14 (2015): 5898–906. http://dx.doi.org/10.1039/c5ay00800j.

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Buyer, Jeffrey S. "Improved fast gas chromatography for FAME analysis of bacteria." Journal of Microbiological Methods 54, no. 1 (July 2003): 117–20. http://dx.doi.org/10.1016/s0167-7012(03)00002-2.

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Дисертації з теми "FAME ANALYSIS"

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Sekora, Nicholas Scott Lawrence Katheryn Kay Scott. "Identification of plant-parasitic nematodes using FAME analysis." Auburn, Ala, 2009. http://hdl.handle.net/10415/1806.

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Fransson, Rasmus. "Determination of FAME in Gasoline : A Fuel Quality Analysis." Thesis, Högskolan i Borås, Akademin för textil, teknik och ekonomi, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-21212.

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Gasoline is produced by distilling petroleum oil. This is done at a refinery, where a lot of other products are produced as well. With increasing interest in bio-fuels the fuel companies started to produce substances such as biodiesel as well as the petroleum-based fuels. These products are then transported to where they are going to be used or sold, there included both gasoline, which is a petroleum-based fuel, and biodiesel (FAME), which in Sweden is based on rapeseed oil. If the vessel for transporting gasoline, or pipeline/connections filling and emptying the tanks, has previously been used for biodiesel, there is a risk of contaminating the gasoline with biodiesel. This contamination can have a lot of different effects such as either clogging filters or injectors in both gasoline- and ethanol-based engines, or even change the properties and therefore quality of the fuel.  To ensure that the results from tests and research involving gasoline can be used and compared with each other, the quality of the fuel must have the same properties throughout all tests. This is controlled by taking samples on a regular basis and analyzing the quality and level of impurities in the fuel used in that specific test. Screening for FAME is therefore necessary which is where this thesis becomes relevant.  This thesis was carried out with the purpose to develop a new or verify an already developed method to quantify FAME in gasoline. To determine the FAME content, a standard gas chromatography method, IP 585, was used. It was changed to fit in this application, since it was originally made to determine FAME content in diesel, not gasoline. It was concluded that it was possible to determine the FAME content in gasoline when IP 585 was used as is. There were some possible alternatives to IP 585 and they will be discussed in the literature study.
Bensin framställs genom destillation av råolja. Detta görs på ett raffinaderi där ett flertal andra produkter också utvinns. På senare tid har ögonen öppnats för "biobränslen", bland annat biodiesel. Det händer därför att detta också framställs på samma plats som bensinen. Dessa produkter säljs sedan och brukar fraktas i stora tankar till företagen som köpt dem. Ifall tankarna vid transport eller rören bränslet går igenom till tankarna först använts till biodiesel och sedan används till bensin finns det stor risk att en del biodiesel hamnar i bensinen. Detta kan leda till en rad olika problem. Ett exempel är att biodieseln kan sätta igen och förstöra injektorer i bensin- och etanolmotorer. Det kan även påverka testresultat i olika testriggar, vilket är ett av fallen på Volvo. Ifall bränslet inte bibehåller samma kvalitet för varje test det används i leder det till svårigheter vid jämförelser och resultatens riktighet. Det blir därför nödvändigt att kontrollera bensinens innehåll, där inräknat screening av FAME. Detta arbete utfördes med syftet att utveckla en ny eller verifiera en redan beprövad metod för att bestämma koncentrationen FAME i bensin. För att mäta koncentrationen FAME användes en standardmetod till GC-MS, IP 585. Den modifierades något för att passa in i denna applikation då den från början var gjord för kvantifiering i diesel och inte bensin. Slutsatsen drogs att det är möjligt att mäta koncentrationen FAME i bensin med IP 585 använd som den är. Det fanns möjliga alternativ till metoden, dessa bemöts i litteraturstudien.
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Ilya, Musabirov. "Deconstructing Fame : An Analysis of eSports Brand Value. The Case of Dota 2." Thesis, Uppsala universitet, Medier och kommunikation, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-296411.

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Mandavha, Uyuenendiwannyi. "Analysis of carbonaceous solid deposits from thermal stressing of FAMEs and FAME/diesel blends at different temperatures in a continuous flow reactor." Master's thesis, University of Cape Town, 2015. http://hdl.handle.net/11427/20091.

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Fuel deposits are carbon-rich high molecular weight species that are formed from the degradation of fuel. Diesel deposits may form on vital parts of a vehicle's engine or fuel system such as the fuel injectors. Once these deposits have formed, they can block the spray holes of the injector and may also cause moving parts within the injector to stick. Diesel deposits can cause engine failure, engine malfunction and affect engine performance. This study aims to investigate early stage deposits, formed in laboratory reactors, in particular a flow reactor. This was performed in order to gain insight into the processes by which these deposits form and what factors influence their formation. A flow reactor and closed sand bath reactor were employed to produce carbonaceous deposits, with the aim being that these might be similar to those formed in diesel injectors. The solid deposits were analysed using a Temperature Programmed Oxidation (TPO), Transmission Electron Microscopy (TEM) and Scanning Electron Microscopy (SEM). Soluble deposit precursors from the stressed fuels were assessed using ultraviolet visible spectroscopy (UV-Vis) and electrospray ionisation-mass spectroscopy (ESI-MS) in order to provide further insight into the chemical processes preceding deposit formation. The test fuels stressed in this study were an EN 590 reference diesel and two fatty acid methyl esters (FAMES), viz. rapeseed methyl ester (RME100) and soya methyl ester (SME100). Binary blends of 80 % EN 590 diesel and 20 %RME (RME20), 80 % EN 590 diesel and 20 % SME(SME20), 50 % EN 590 diesel and 50 % SME (SME50) and 93 % EN 590 diesel and 7 % SME (SME7) (v/v) were also investigated. Aerated fuels were thermally stressed at 300°C and 400°C for 5h in the presence of oxygen in a continuous flow reactor. This study represents the first application of the flow reactor methodology to systems that contain fatty acids methyl esters (FAMEs).
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Westberg, Emilie. "Qualitative and Quantitative Analysis of Biodiesel Deposits Formed on a Hot Metal Surface." Thesis, Linköpings universitet, Institutionen för fysik, kemi och biologi, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-95617.

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This thesis aims to investigate the formation of deposits from thermally degraded biodiesel on a hot metal surface under the influence of sodium or copper contaminations. Biodiesel or Fatty Acid Methyl Esters (FAMEs) is a widely utilized biofuel with the potential to replace fossil fuels, however, issues regarding the thermal and oxidative stability prevent the progress of biodiesel for utilization as vehicle fuel. The thermal degradation of biodiesel causes formation of deposits often occurring in the fuel injectors, which could result in reduced engine efficiency, increased emissions and engine wear. However, still have no standard method for evaluation of a fuels’ tendency to form deposits been developed. In this study biodiesel deposits have been formed on aluminum test tubes utilizing a Hot Liquid Process Simulator (HLPS), an instrument based on the principle of the Jet Fuel Thermal Oxidation Tester (JFTOT). Quantitative and qualitative analyses have been made utilizing an array of techniques including Scanning Electron Microscopy (SEM), Gas Chromatography Mass Spectrometry (GCMS) and Attenuated Total Reflectance Fourier Transform Infrared Spectrometry (ATR-FTIR). A multi-factorial trial investigating the effects of sodium hydroxide and copper contaminations at trace levels and the impact of a paraffin inhibitor copolymer additive on three different FAME products, two derived from rapeseed oil and one from waste cooking oil as well as a biodiesel blend with mineral diesel, was conducted.The results exhibited that FAMEs are the major precursor to deposit formation in diesel fuel. The SEM analyses exploited the nature of FAME deposits forming porous structures on hot metal surfaces. Sodium hydroxide proved to participate in the deposit formation by forming carboxylic salts. However, the copper contamination exhibited no enhancing effect on the deposits, possibly due to interference of the blank oil in which copper was received. The paraffin inhibitor functioning as a crystal modifier had significant reducing effect on the deposit formation for all biodiesel samples except for the FAME product derived from waste cooking oil. Further studies are needed in order to investigate the influence of glycerin and water residues to the biodiesel deposit formation. Mechanisms involving oxidative or thermal peroxide formation, polymerization and disintegration have been suggested as degradation pathways for biodiesel. The involvement of oxidation intermediates, peroxides, was confirmed by the experiments performed in this thesis. However, the mechanisms of biodiesel deposit formation are complex and hard to study as the deposits are seemingly insoluble. Nevertheless, ATR-FTIR in combination with JFTOT-processing has potential as standard method for evaluation of deposit forming tendencies of biodiesel.
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Pisac, Claudia A. "An experimental study of combustion characteristics of fatty acid methyl ester biodiesel." Thesis, University of Hertfordshire, 2014. http://hdl.handle.net/2299/14641.

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The thesis presents an experimental investigation of combustion performance and emissions of waste cooking oil (WCO) based biodiesel. To evaluate the comparative performance of biodiesel and diesel, combustions tests were conducted using Continuous Combustion rig (CCR) and Land Rover VM diesel engine. Firstly, physical properties of WCO biodiesel and diesel samples were measured in the laboratory. Elemental analysis of WCO biodiesel showed that there are differences between the functional groups in diesel and biodiesel which lead to major differences in the combustion characteristics of the two fuel types. It was found that biodiesel had 10% lower carbon content, almost no sulphur content for biodiesel and up to 12% more oxygen content compared with diesel. This explains the lower caloric value for WCO biodiesel (up to l8 %) compared with diesel. However, higher oxygen content and double bounds in WCO biodiesel increase its susceptibility to oxidation. The CCR test results showed an increase in combustion gas temperature with the increases in biodiesel blend ratio in diesel. This was due to a faster reaction rate for biodiesel than that of diesel leading to a faster brakeage of the hydrocarbon chain to release more heat. The engine tests were performed to measure the torque and emissions for different engine speeds and loads. In general a decrease in engine torque with up to 9% for biodiesel was observed, which was due to the lower calorific value of biodiesel compared with that of diesel. The brake specific fuel consumption (BSFC) increased as the biodiesel blend ratio in diesel increases due a greater mass of fuel being injected at a given injection pressure, compared with diesel. Using WCO blends ratio up to 75% in diesel showed a reduction in exhaust emission compared with diesel, however, at the cost of increased fuel consumption. A common conclusion can be drawn in favour of the WCO biodiesel as being a greener alternative to petro-diesel when used in blend with diesel. However, due to large variations in the biomass used for biodiesel production could lead to variations in physical and chemical properties between biodiesel produced from different biomass. Therefore more stringent standards need to be imposed for biodiesel quality in order to diminish the effect of variation in physicochemical properties on engine performance and emissions. The future work in developing standard test procedures for establishing fuel properties and limits/targets would be beneficial in using a large amount of waste cooking oil in the production of biodiesel, thus contributing to reduction in CO2 and waste minimisation.
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Pacheco, Fábio Luiz Camacho. "Identificação bacteriana por derivação de ácidos graxos extraídos de células íntegras." Universidade de São Paulo, 2009. http://www.teses.usp.br/teses/disponiveis/9/9139/tde-28092009-143513/.

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As salas limpas são amplamente empregadas em indústrias farmacêuticas destinadas a fabricar medicamentos e dispositivos estéreis. Nós empregamos coloração de Gram e cromatografia gasosa de ésteres metílicos de ácidos graxos extraídos de células íntegras de microrganismos ambientais para caracterizar e identificar bactérias isoladas em 50 salas limpas diferentes projetadas para a fabricação de medicamentos estéreis e para fornecer um perfil de ácidos graxos das espécies mais comuns de bactérias isoladas. Uma análise estatística nos permitiu corroborar estudos anteriores e confirmar que cocos Gram positivos é o grupo mais relevante de microrganismos presentes nas salas limpas avaliadas. A espécie predominante é Micrococcus luteus, isolada de salas classe B e de pessoal, seguida de Staphylococcus cohnii em classe C, Bacillus subtilis em classe A e Staphylococcus hominis em classe D. Os perfis de ácidos graxos destas bactérias são, na maioria, consistentes com as bibliotecas padrão. Nós também tentamos estabelecer uma correlação entre a estação do ano e o nível de contaminação, embora a análise de variância tenha mostrado que não há diferença significativa entre o nível de contaminação no decorrer das estações. Além do mais, análises repetidas com um aumento gradual de massa celular nos permitiram concluir que a quantidade ótima de material celular necessário para extração de ácidos graxos varia com a espécie de bactéria. Finalmente, um estudo comparativo de algumas bactérias incubadas em diferentes temperaturas confirmou que o perfil de ácidos graxos é altamente influenciado pela temperatura. Portanto, nós acreditamos que este trabalho possa contribuir para identificar e compreender a comunidade bacteriana de algumas salas limpas farmacêuticas.
Clean rooms are largely employed in pharmaceutical companies whose purpose is to produce sterile drugs and devices. We employed Gram staining and gas chromatography of fatty acid methyl esters extracted from whole cells of environmental isolates to characterize and identify bacteria isolated in each of 50 different clean rooms designed for the manufacturing of sterile medicinal products and to provide a fatty acid profile of the most common species of isolated bacteria. Statistical analysis allowed us to corroborate previous studies and confirm that Gram-positive cocci are the most relevant group of microorganisms inside the studied clean rooms. The predominant species is Micrococcus luteus, isolated from Grade B zones and from personnel, followed by Staphylococcus cohnii in Grade C, Bacillus subtilis in Grade A and S. hominis in Grade D. Fatty acid profiles of these bacteria are, to a great extent, consistent with standard libraries. We also attempted to establish a correlation between season and level of contamination, although variance analysis showed that there is no significant difference on the level of contamination throughout seasons. Furthermore, repeated analysis with a gradual increase in cell mass allowed us to conclude that the optimal amount of cell material depends on the species of the bacteria studied. Finally, a comparative study with some bacteria incubated in different temperatures confirmed that fatty acid profile is highly influenced by temperature. Therefore, we believe that this work can contribute to identify and understand the bacterial community of some pharmaceutical clean rooms.
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Cornish, Yvonne. "George Robert Fitzgerald (1748?-1786) and the nature of eighteenth-century celebrity culture : an analysis of the language, character and representation of late eighteenth-century celebrity drawn from literary sources." Thesis, University of Oxford, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.670130.

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Bahceci, Humeyra. "Fatty Acid Methyl Ester Analysis Of Bacterial Isolates From Salt Lake, Turkey And Characterization Of Their Extracellular Enzymes." Master's thesis, METU, 2004. http://etd.lib.metu.edu.tr/upload/3/12605483/index.pdf.

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In this study, 11 bacterial isolates from Salt Lake,Turkey were identified by using fatty acid methyl ester (FAME) analysis. They were screened for production of industrially important enzymes xylanase, cellulase, &
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-amylase and protease. These enzymes were characterized in terms of enzyme activity, stability, optimum temperature and optimum pH. One of the isolates was identified as Bacillus pumilus, and two of them were identified as Bacillus subtilis. Other isolates were determined to be Bacillus licheniformis. All the isolates were determined to produce xylanase. Optimum temperatures and optimum pH values of xylanases were 50-55 °
C and pH 7.0-8.0. Xylanases were quite stable up to pH 8.0 and 70 °
C. Isolates were not significant cellulase producers. Four of the isolates did not produce any cellulase enzyme and the rest produced negligible amounts of cellulase. Therefore, xylanases from the isolates were promising for pulp and paper industry, which requires cellulase free and stable xylanases. All the isolates produced appreciable quantities of &
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-amylase. Optimum temperatures and optimum pH values of &
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-amylases 60-80 °
C and pH 7.0-8.0. &
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-Amylases were quite stable up to pH 9.0 and 80 °
C. &
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-Amylases from the isolates were promising for starch processing industry, which requires &
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-amylases stable at high temperatures and for detergent industry, which requires &
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-amylases stable at alkaline pH values. Considerable protease productions were achieved by all the isolates. TTG 2 was the best protease producer with 271 U/ml. Optimum temperatures and optimum pH values of proteases were 50-60 °
C and pH 7.0-7.4. Proteases were quite stable up to pH 9.0 and 80 °
C. Proteases from the isolates were promising for detergent and leather industry, in which proteases must be stable at alkaline pH values.
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Sinnig, Julia [Verfasser], Christoph [Akademischer Betreuer] Burmann, Christoph [Gutachter] Burmann, and Tilo [Gutachter] Halaszovich. "The Role of Origin of Fame in Influencer Branding : a Comparative Analysis of German and Russian Consumers / Julia Sinnig ; Gutachter: Christoph Burmann, Tilo Halaszovich ; Betreuer: Christoph Burmann." Bremen : Staats- und Universitätsbibliothek Bremen, 2019. http://d-nb.info/118624884X/34.

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Книги з теми "FAME ANALYSIS"

1

Cooperstown by the numbers: An analysis of baseball Hall of Fame elections. Jefferson, NC: McFarland & Co., 2010.

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2

Newsom, Gavin Christopher. Fare free Muni system feasibility analysis. San Francisco, Calif: Office of the Controller, 2008.

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3

Daoudi, Mohamed, Anuj Srivastava, and Remco Veltkamp, eds. 3D Face Modeling, Analysis and Recognition. Solaris South Tower, Singapore: John Wiley & Sons SingaporePte Ltd, 2013. http://dx.doi.org/10.1002/9781118592656.

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4

Bartlett, Marian Stewart. Face Image Analysis by Unsupervised Learning. Boston, MA: Springer US, 2001. http://dx.doi.org/10.1007/978-1-4615-1637-8.

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M, Newton Elaine, and Information Technology Laboratory (National Institute of Standards and Technology). Mathematical and Computational Sciences Division., eds. Meta-analysis of face recognition algorithms. Gaithersburg, MD: U.S. Dept. of Commerce, Technology Administration, Mathematics and Computational Sciences Division, National Institute of Standards and Technology, 2001.

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Elaine, Newton, and Information Technology Laboratory (National Institute of Standards and Technology). Mathematical and Computational Sciences Division, eds. Meta-analysis of face recognition algorithms. Gaithersburg, MD: U.S. Dept. of Commerce, Technology Administration, Mathematics and Computational Sciences Division, National Institute of Standards and Technology, 2001.

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7

1967-, Newsom Gavin Christopher, San Francisco (Calif.). Municipal Transportation Agency., Sharon Greene & Associates., AECOM Consult Inc, Transportation Management & Design, Inc., Causeway Financial Consulting Inc, San Francisco (Calif.). Office of the Mayor., and San Francisco (Calif.). Office of the Controller., eds. [Fare free Muni system feasibility analysis. [San Francisco, Calif: Office of the Controller, 2008.

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8

Bartlett, Marian Stewart. Face Image Analysis by Unsupervised Learning. Boston, MA: Springer US, 2001.

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9

Bartlett, Marian Stewart. Face image analysis by unsupervised learning. Boston: Kluwer Academic Publishers, 2001.

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10

M, Newton Elaine, and Information Technology Laboratory (National Institute of Standards and Technology). Mathematical and Computational Sciences Division, eds. Meta-analysis of face recognition algorithms. Gaithersburg, MD: U.S. Dept. of Commerce, Technology Administration, Mathematics and Computational Sciences Division, National Institute of Standards and Technology, 2001.

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Частини книг з теми "FAME ANALYSIS"

1

Furuhashi, Takeshi, and Wolfram Weckwerth. "Introduction to Lipid (FAME) Analysis in Algae Using Gas Chromatography-Mass Spectrometry." In The Handbook of Plant Metabolomics, 215–25. Weinheim, Germany: Wiley-VCH Verlag GmbH & Co. KGaA, 2013. http://dx.doi.org/10.1002/9783527669882.ch11.

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Nogueira, Mariela, Carlos Cotta, and Antonio J. Fernández-Leiva. "An Analysis of Hall-of-Fame Strategies in Competitive Coevolutionary Algorithms for Self-Learning in RTS Games." In Lecture Notes in Computer Science, 174–88. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-44973-4_19.

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3

Gopalan, Raghuraman, William R. Schwartz, Rama Chellappa, and Ankur Srivastava. "Face Detection." In Visual Analysis of Humans, 71–90. London: Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-997-0_5.

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4

Meneghini, Fabio, and Paolo Biondi. "The Aging Face." In Clinical Facial Analysis, 157–74. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-27228-8_10.

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5

Patras, Ioannis. "Face Pose Analysis." In Encyclopedia of Biometrics, 324–29. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-73003-5_191.

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6

Patras, Ioannis. "Face Pose Analysis." In Encyclopedia of Biometrics, 462–67. Boston, MA: Springer US, 2015. http://dx.doi.org/10.1007/978-1-4899-7488-4_191.

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7

Mou, Dengpan. "Performance Analysis." In Machine-based Intelligent Face Recognition, 141–62. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-00751-4_8.

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8

Ravaut, Frédéric, and Georges Stamon. "Face Image Processing Supporting Epileptic Seizure Analysis." In Face Recognition, 610–16. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-642-72201-1_40.

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9

Zhang, Yu-Jin. "Face Recognition." In A Selection of Image Analysis Techniques, 253–96. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/b23131-7.

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10

Zhao, Wenyi, Arvindh Krishnaswamy, Rama Chellappa, Daniel L. Swets, and John Weng. "Discriminant Analysis of Principal Components for Face Recognition." In Face Recognition, 73–85. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-642-72201-1_4.

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Тези доповідей конференцій з теми "FAME ANALYSIS"

1

Yavanarani, K., G. S. S. S. Raj, S. S. Christabel, and J. Vijayaraghavan. "Multi resolution analysis for bearing fault diagnosis." In International Conference on Frontiers in Automobile and Mechanical Engineering (FAME 2010). IEEE, 2010. http://dx.doi.org/10.1109/fame.2010.5714855.

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2

Mahamani, A., A. Karthik, S. Karthikeyan, P. Kathiravan, and Y. P. Kumar. "Synthesis, quantitative elemental analysis, microstructure characteristics and micro hardness analysis of AA2219 aluminum alloy matrix composite reinforced by in-situ TiB." In International Conference on Frontiers in Automobile and Mechanical Engineering (FAME 2010). IEEE, 2010. http://dx.doi.org/10.1109/fame.2010.5714797.

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3

Singh, J. M. S., and R. K. Thangaratnam. "Buckling and vibration analysis of FGM plates and shells." In International Conference on Frontiers in Automobile and Mechanical Engineering (FAME 2010). IEEE, 2010. http://dx.doi.org/10.1109/fame.2010.5714816.

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4

Prabhakar, S., V. N. Banugopan, K. Annamalai, and S. Jayaraj. "Analysis of chosen parameters of CI engine for Nerium oil." In International Conference on Frontiers in Automobile and Mechanical Engineering (FAME 2010). IEEE, 2010. http://dx.doi.org/10.1109/fame.2010.5714805.

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5

Anbusagar, N. R. R., P. K. Giridharan, S. Rakesh, B. P. Balaj, and V. K. Kathiresh. "Analysis of fiber reinforced polymer composite material using experimental and CLT approach." In International Conference on Frontiers in Automobile and Mechanical Engineering (FAME 2010). IEEE, 2010. http://dx.doi.org/10.1109/fame.2010.5714789.

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6

Dash, A. K., D. N. Thatoi, and M. K. Sarangi. "Analysis of the mechanical characteristics of a red mud filled hybridized composite." In International Conference on Frontiers in Automobile and Mechanical Engineering (FAME 2010). IEEE, 2010. http://dx.doi.org/10.1109/fame.2010.5714790.

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7

Rajendra, B. J., and G. J. V. Patil. "Computer aided design and analysis of piston mechanism of four stroke S.I. engine." In International Conference on Frontiers in Automobile and Mechanical Engineering (FAME 2010). IEEE, 2010. http://dx.doi.org/10.1109/fame.2010.5714807.

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8

Premkumar, M., and S. Ramachandran. "A pilot model experimental set up and computational fluid dynamics analysis of buoyancy driven solar engine." In International Conference on Frontiers in Automobile and Mechanical Engineering (FAME 2010). IEEE, 2010. http://dx.doi.org/10.1109/fame.2010.5714838.

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9

Suresh, R., P. S. Kumar, B. Durgaprsad, and M. Albert. "Performance analysis for emission and combustion of Methanol blend diesel fuel in CI engine using glow plug." In International Conference on Frontiers in Automobile and Mechanical Engineering (FAME 2010). IEEE, 2010. http://dx.doi.org/10.1109/fame.2010.5714825.

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10

Karthikeyan, S., and S. Krishnan. "Computational analysis for selection of Diesel Oxidation Catalyst and experimental investigation to meet BS-III/IV emission norms as low cost solution for LCV applications." In International Conference on Frontiers in Automobile and Mechanical Engineering (FAME 2010). IEEE, 2010. http://dx.doi.org/10.1109/fame.2010.5714806.

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Звіти організацій з теми "FAME ANALYSIS"

1

Yang, Joyce. Face Analysis Technology Evaluation (FATE) Face Image Quality Vector Assessment:. Gaithersburg, MD: National Institute of Standards and Technology, 2023. http://dx.doi.org/10.6028/nist.ir.8485.

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2

Bays, J. Timothy, David L. King, and Molly J. O'Hagan. Carbon-Type Analysis and Comparison of Original and Reblended FACE Diesel Fuels (FACE 2, FACE 4, and FACE 7). Office of Scientific and Technical Information (OSTI), October 2012. http://dx.doi.org/10.2172/1118119.

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3

Phillips, P. Jonathon, and Elaine M. Newton. Meta-analysis of face recognition algorithms. Gaithersburg, MD: National Institute of Standards and Technology, 2001. http://dx.doi.org/10.6028/nist.ir.6719.

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4

Pollard, Kimberly A., Lamar Garrett, and Phuong Tran. Bone Conduction Systems for Full-Face Respirators: Speech Intelligibility Analysis. Fort Belvoir, VA: Defense Technical Information Center, April 2014. http://dx.doi.org/10.21236/ada600090.

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5

IVARSON, KRISTINE, and CRAIG AROLA. SOFTWARE FOR SUPPORT OF GROUNDWATER CONTAMINANT FATE AND TRANSPORT ANALYSIS 13345. Office of Scientific and Technical Information (OSTI), January 2013. http://dx.doi.org/10.2172/1658904.

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6

Lindstrom, F. T., D. E. Cawlfield, and L. E. Barker. Sensitivity analysis of the noble gas transport and fate model: CASCADR9. Office of Scientific and Technical Information (OSTI), March 1994. http://dx.doi.org/10.2172/10175482.

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7

Ward, Andy L., Glendon W. Gee, Z. F. Zhang, and Jason M. Keller. Vadose Zone Contaminant Fate and Transport Analysis for the 216-B-26 Trench. Office of Scientific and Technical Information (OSTI), October 2004. http://dx.doi.org/10.2172/894884.

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8

Kuhn, W. L. Steady-state analysis of the fate of volatile contaminants during In situ Vitrification. Office of Scientific and Technical Information (OSTI), May 1992. http://dx.doi.org/10.2172/10146361.

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9

Socolinsky, Diego A., and Andrea Selinger. A Comparative Analysis of Face Recognition Performance With Visible and Thermal Infrared Imagery. Fort Belvoir, VA: Defense Technical Information Center, January 2002. http://dx.doi.org/10.21236/ada453159.

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10

Kuhn, W. L. Steady-state analysis of the fate of volatile contaminants during In situ Vitrification. Office of Scientific and Technical Information (OSTI), May 1992. http://dx.doi.org/10.2172/5249619.

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