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Добірка наукової літератури з теми "FAME ANALYSIS"

Автор: Grafiati

Опубліковано: 11 вересня 2023

Оновлено: 31 липня 2025

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Статті в журналах з теми "FAME ANALYSIS"

1

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 (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 decad

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2

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 (2011): 424–26. http://dx.doi.org/10.15373/2249555x/nov2013/135.

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3

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

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4

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 (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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5

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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6

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 (2012): 360–61. http://dx.doi.org/10.15373/22778179/sep2013/126.

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7

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 (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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8

Graham, P. H., M. J. Sadowsky, S. W. Tighe, et al. "Differences among strains of Bradyrhizobium in fatty acid–methyl ester analysis." Canadian Journal of Microbiology 41, no. 11 (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 ha

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9

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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10

Aremo, Adenike-Adeniyi Evelyn, Abiodun Oluwafemi Oluwadare, John Oluwole Aremo, et al. "Characterization of Kariya (Hildegardia barteri (Mast.) Kosterm) Seed Oil Fatty Acid Methyl Ester Prepared from Basic Catalytic Transesterification." Sustainability 17, no. 3 (2025): 858. https://doi.org/10.3390/su17030858.

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The rising global energy demand, alongside concerns regarding environmental deterioration due to the use of fossil fuels, has spurred extensive investigation into renewable energy alternatives. Biomass-derived biodiesel, especially from lesser-known oil sources, emerges as a promising option. This research focuses on analyzing the fatty acid methyl esters (FAMEs) derived from Kariya (Hildegardia barteri (Mast.) Kosterm) seed oil through basic catalytic transesterification using gas chromatography–flame ionization detector (GC–FID) analysis, assessing its potential as a biodiesel feedstock. Oil

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Дисертації з теми "FAME ANALYSIS"

1

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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2

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 use

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3

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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4

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 insi

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5

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 eng

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6

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 tw

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7

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 Gr

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8

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, &amp<br>#945<br>-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 t

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10

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

Meneghini, Fabio. Clinical facial analysis: Elements, principles, and techniques. 2nd ed. Springer, 2012.

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2

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

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3

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

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4

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

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5

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. U.S. Dept. of Commerce, Technology Administration, Mathematics and Computational Sciences Division, National Institute of Standards and Technology, 2001.

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6

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. U.S. Dept. of Commerce, Technology Administration, Mathematics and Computational Sciences Division, National Institute of Standards and Technology, 2001.

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7

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. U.S. Dept. of Commerce, Technology Administration, Mathematics and Computational Sciences Division, National Institute of Standards and Technology, 2001.

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8

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

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9

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

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10

Geyer, Naomi. Discourse and politeness: Ambivalent face in Japanese. Continuum, 2008.

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Частини книг з теми "FAME ANALYSIS"

1

Singh, Amanveer. "Impact of Green Marketing on Organizational Fame: A Content Analysis Approach." In Emerging Trends in Smart Societies. Routledge, 2024. http://dx.doi.org/10.4324/9781003489412-42.

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2

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

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3

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. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-44973-4_19.

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4

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

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5

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

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6

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

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7

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

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8

Wan, Jun, Zichang Tan, and Ajian Liu. "Facial Attribute Analysis." In Handbook of Face Recognition. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-43567-6_6.

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9

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

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

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Тези доповідей конференцій з теми "FAME ANALYSIS"

1

Kusumawati, Dian, Andi Erwin Eka Putra, and Novriany Amaliyah. "Characterisation and Analysis of Chemical Compounds from the Ozonization Process of Crude Palm Oil (CPO) for Biodiesel Production." In International Conference on Research in Engineering and Science Technology (IC-REST) 2023. Trans Tech Publications Ltd, 2025. https://doi.org/10.4028/p-fh0xfc.

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Crude palm oil (CPO) is one of the potential feedstocks for biodiesel production. While CPO has potential as a sustainable biodiesel feedstock, there are still a number of challenges that need to be overcome. One of them is the presence of interfering compounds in CPO, such as free fatty acids and non-triglyceride compounds. This research aims to analyse the density, viscosity, calorific value and identify the types of chemical compounds in CPO for biodiesel production consisting of 100% biodiesel (Fatty Acid Methyl Ester or FAME) without mixture with conventional diesel fuel (fossil diesel).

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2

Zhu, Peilu. "Face Recognition Based on ResNet Architecture." In International Conference on Data Analysis and Machine Learning. SCITEPRESS - Science and Technology Publications, 2024. https://doi.org/10.5220/0013486600004619.

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3

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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4

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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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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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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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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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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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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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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Звіти організацій з теми "FAME ANALYSIS"

1

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

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2

Ngan, Mei. Face Analysis Technology Evaluation (FATE) Part 10:. National Institute of Standards and Technology, 2023. http://dx.doi.org/10.6028/nist.ir.8491.

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3

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), 2012. http://dx.doi.org/10.2172/1118119.

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4

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

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Hanaoka, Kayee. Face Analysis Technology Evaluation: Age Estimation and Verification. National Institute of Standards and Technology, 2024. http://dx.doi.org/10.6028/nist.ir.8525.

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Naspoli, Giovanna, and Jesse Madden Libra. FS 3.5: Water Footprint Estimation in Latin America. Inter-American Development Bank, 2024. http://dx.doi.org/10.18235/0005516.

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Анотація:

This fact sheet summarizes a recent technical note entitled "Water Footprint Estimation in Latin America", which analyzes the water footprint of Brazil, Colombia, and Costa Rica. The fact sheet gives a broad overview of the methodology used in the analysis and describes trends in sectoral water consumption in the three countries between 2013 and 2017, highlighting disparities in water consumption across economies. In the face of climate change, it is important that more countries disclose environmental-economic accounting data to facilitate such analyses across the Latin America and the Caribb

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

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

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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), 1994. http://dx.doi.org/10.2172/10175482.

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Hanks, Andrew, Shengjun Jiang, Xuechao Qian, Bo Wang, and Bruce Weinberg. Do Double Majors Face Less Risk? An Analysis of Human Capital Diversification. National Bureau of Economic Research, 2024. http://dx.doi.org/10.3386/w32095.

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