Academic literature on the topic 'Compound identification'
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Journal articles on the topic "Compound identification"
Opialla, Tobias, Stefan Kempa, and Matthias Pietzke. "Towards a More Reliable Identification of Isomeric Metabolites Using Pattern Guided Retention Validation." Metabolites 10, no. 11 (November 12, 2020): 457. http://dx.doi.org/10.3390/metabo10110457.
Full textLi, Hong Zheng, He Zhou, and Yao Hong Jin. "A Method for Identifying V+N Compound Nouns in Patent Machine Translation." Applied Mechanics and Materials 513-517 (February 2014): 4617–20. http://dx.doi.org/10.4028/www.scientific.net/amm.513-517.4617.
Full textSudirman, Sabri, Nurjanah Nurjanah, and Agoes Mardiono Jacoeb. "Identification of Antioxidant Compounds Structure Large-Leafed Mangrove Fruit." Jurnal Pengolahan Hasil Perikanan Indonesia 19, no. 2 (August 30, 2016): 94. http://dx.doi.org/10.17844/jphpi.v19i2.13452.
Full textYang, Wenzhi, Guangjie Liang, Yang Sun, and Zhijin Gong. "Bioactive Secondary Metabolites from Marine Streptomyces griseorubens f8: Isolation, Identification and Biological Activity Assay." Journal of Marine Science and Engineering 9, no. 9 (September 7, 2021): 978. http://dx.doi.org/10.3390/jmse9090978.
Full textVeijanen, A., E. Kolehmainen, R. Kauppinen, M. Lahtiperä, and J. Paasivirta. "Methods for the Identification of Tainting Terpenoids and other Compounds from Algae." Water Science and Technology 25, no. 2 (January 1, 1992): 165–70. http://dx.doi.org/10.2166/wst.1992.0048.
Full textBowes, Scott, Dongyu Sun, Azita Kaffashan, Chenhui Zeng, Claudio Chuaqui, Xiaoping Hronowski, Alex Buko, Xin Zhang, and Serene Josiah. "Quality Assessment and Analysis of Biogen Idec Compound Library." Journal of Biomolecular Screening 11, no. 7 (September 14, 2006): 828–35. http://dx.doi.org/10.1177/1087057106290993.
Full textYoneyama-Hirozane, Mariko, Kohei Deguchi, Takeshi Hirakawa, Tsuyoshi Ishii, Tomoyuki Odani, Junji Matsui, Yoshihide Nakano, et al. "Identification and Characterization of a New Series of Ghrelin O-Acyl Transferase Inhibitors." SLAS DISCOVERY: Advancing the Science of Drug Discovery 23, no. 2 (August 28, 2017): 154–63. http://dx.doi.org/10.1177/2472555217727097.
Full textChira, Kleopatra, Laura Anguellu, Gregory Da Costa, Tristan Richard, Eric Pedrot, Michael Jourdes, and Pierre-Louis Teissedre. "New C-Glycosidic Ellagitannins Formed upon Oak Wood Toasting, Identification and Sensory Evaluation." Foods 9, no. 10 (October 16, 2020): 1477. http://dx.doi.org/10.3390/foods9101477.
Full textJadoun, Jeries, Ahmad Yazbak, Salwa Rushrush, Amira Rudy, and Hassan Azaizeh. "Identification of a New Antibacterial Sulfur Compound fromRaphanus sativusSeeds." Evidence-Based Complementary and Alternative Medicine 2016 (2016): 1–7. http://dx.doi.org/10.1155/2016/9271285.
Full textHakim, Aliefman, Jamaluddin Jamaluddin, I. Nyoman Loka, Saprizal Hadisaputra, and Ayu Rizki Mujiyanti. "Acid-Base Extraction of Anacardic Acid from Cashew Seed Shell." Jurnal Pijar Mipa 16, no. 3 (June 6, 2021): 418. http://dx.doi.org/10.29303/jpm.v16i3.2595.
Full textDissertations / Theses on the topic "Compound identification"
Satchwill, Trevor. "Drinking water taste and odor, compound identification and treatment." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp05/MQ64977.pdf.
Full textCadavid, Angelica Luz Marina. "Identification, cloning, and characterization of the Drosophila liquid facets gene /." Digital version:, 2000. http://wwwlib.umi.com/cr/utexas/fullcit?p9992759.
Full textAbida, Habib. "Mathematical modeling and parameter identification for unsteady flow in compound channels." Thesis, University of Ottawa (Canada), 1992. http://hdl.handle.net/10393/7753.
Full textLi, Qinghong. "Identification and characterization of genetic modifiers of the fat facets gene in Drosophila eye development /." Digital version accessible at:, 1998. http://wwwlib.umi.com/cr/utexas/main.
Full textLawson, Tino. "Identification and Characterization of Gene Functions Involved in Recalcitrant Compound Degradation Using Metagenomic Data." Thesis, Södertörns högskola, Institutionen för naturvetenskap, miljö och teknik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:sh:diva-18665.
Full textAlberts, P. "Applicatins of liquid chromatography-tandem mass spectrometry to wine analysis : targeted analysis and compound identification." Thesis, Stellenbosch : Stellenbosch University, 2012. http://hdl.handle.net/10019.1/71693.
Full textENGLISH ABSTRACT: The wine industry is an important sector of agriculture and wine analysis forms the basis of assessing compliance of its commodities with regulatory standards and research in this field. Liquid chromatography (LC) is extensively used for the determination of a wide range of nonvolatile wine components, but conventional detectors impose performance limitations on the technique that prevents its application to sophisticated analytical problems. In particular, conventional detectors for LC often lack the sensitivity and specificity for the determination of many wine compounds, especially trace level analytes, and furthermore, do not possess spectral capabilities for compound identification or structure elucidation. The hyphenation of mass spectrometry (MS) to LC has led to the introduction of a range of detectors that confers high levels of sensitivity and selectivity to the technique. In addition, a wide variety of MS architectures are available that are inherently suited for targeted analysis or structure elucidation studies. In this dissertation, the potential benefits of liquid chromatography – tandem quadrupole mass spectrometry (LC-MS/MS) to solve analytical problems relevant to the wine industry are explored. LC-MS/MS is a particularly versatile analytical technique because both mass analysers can be operated in full-spectrum mode or selected-ion monitoring, which, together with optional fragmentation, gives rise to four modes of operation that may be used for highly specific and sensitive targeted analysis or spectral investigations. In multiple reaction monitoring (MRM) mode, both analysers are set at single ion frequencies specific for the compound under investigation and one or more of its product fragments, respectively. MRM mode is ideally suited for trace level analysis in complex mixtures, even in cases where the target components are not resolved from interferences. In this study, MRM detection was used to solve challenges relevant to the wine industry for the selective quantitation of target analytes that could not be analysed by conventional LC methods. The application of this approach for the analysis of natamycin, ethyl carbamate (EC) and 3-alkyl-2- methoxypyrazines (MPs) in wine is demonstrated. Natamycin is an antimicrobial preservative that is not permitted in wine in the European Union. A rapid and sensitive method for the determination of natamycin was developed, and has been used since 2009 to regulate this vitally important sector of the South African wine export industry. EC is a natural carcinogen that occurs at trace level amounts in alcoholic products. It also has the potential to accumulate in wines and can occur in very high concentrations in some fruit brandies. The determination of EC is complicated by its physicochemical properties, and available analytical methods suffer from drawbacks such as the requirement for elaborate extraction procedures and high solvent consumption. A novel method for the determination of EC in wines, fortified wines and spirits is described and it was applied to perform an audit of the South African industry as well as to investigate factors responsible for its accumulation in alcoholic beverages. This work forms an integral part of the food safety mandate of the State and it ensures that export products comply with international norms for trade. MPs are ultra-trace-level aroma compounds that contribute to the varietal character of Sauvignon blanc wines. Their analytical determination is challenging due to their low levels of occurrence. The loading capacity of LC combined with the sensitivity and resolving power of MS was exploited to analyse concentrated extracts, in order to achieve very low limits of detection. The performance of the LC-MS/MS method enabled the quantitation of these compounds at their natural levels of occurrence, including the first quantitation and spectral confirmation of 3- ethyl-2-methoxypyrazine in wine. Extensive data pertaining to South African Sauvignon blanc wines are reported and statistical analysis is performed, reporting the correlation of variables such as vintage and origin as well as wine parameters such as malic acid with wine MPs. Furthermore, the application of LC-MS/MS for structural elucidation and screening of target classes of analytes was demonstrated for the analysis of red wine anthocyanins. The anthocyanidin-glycosides are responsible for the colour of red grapes and wine, contribute to the sensory properties of wine, and are also of interest due to their beneficial biological properties. Their determination is complicated by their large numbers and structural diversity, further exacerbated by diverse reactions during wine ageing as well as the lack of reference standards for most members of this class of compounds. Tandem MS in scan mode was used for the highly selective detection of glycosylated anthocyanins and derivatives, exploiting the predictable elimination of the sugar moiety in neutral loss mode. Concurrent survey scan experiments were used to unambiguously identify neutral loss detected compounds. The method therefore follows a simplified and structured approach for unambiguous peak identification based on elution order and mass spectral information to impart a high level of certainty in compound identification. In summary, the work presented in this dissertation demonstrates that LC-MS/MS is a versatile and powerful analytical approach for the analysis of diverse compounds of relevance to the wine industry. The sensitivity and specificity of MRM mode, and the selectivity and spectral capabilities of neutral loss and survey scan modes of MS/MS detection, is amply demonstrated by the applications presented in the dissertation.
AFRIKAANSE OPSOMMING: Die wynbedryf is ‘n belangrike komponent van landbou en wyn-analise vorm ‘n integrale deel van gehalteversekering ten opsigte van toepaslike wetlike standaarde. Wyn-analise is ook belangrik in navorsing oor die samestelling van wyn. Vloeistofchromatografie word dikwels aangewend vir die bepaling van ‘n wye verskeidenheid nie-vlugtige wynkomponente, maar konvensionele detektors plaas beperkinge op die aanwending van die tegniek tot gesofistikeerde analitiese toepassings. Meer spesifiek, konvensionele detektors vir vloeistofchromatografie beskik nie oor die sensitiwiteit en selektiwiteit vir die bepaling van baie wynkomponente nie, veral in die geval van spoorvlakanalise, en beskik boonop ook nie oor spektrale vermoëns vir identifikasie van komponente en struktuurbepaling nie. Die koppeling van vloeistofchromatografie met massaspektrometrie het ‘n reeks detektors tot die tegniek toegevoeg wat hoë vlakke van sensitiwiteit en selektiwiteit bied. Verder bied die verskeidenheid van massaspektrometrie-konfigurasies ook instrumente wat inherent geskik is vir geteikende analise of struktuurbepaling, afhangende van die doel van die ondersoek. In hierdie dissertasie word die voordele ondersoek wat verbonde is aan die aanwending van vloeistofchromatografie – tandem kwadrupool massaspektrometrie om relevante analitiese vraagstukke in die wynbedryf op te los. Hiedie tegniek is besonder toepaslik aangesien beide massa-analiseerders in geselekteerde-ioon modus of in volle skandering gebruik kan word. Tesame met opsionele fragmentasie, gee hierdie uitleg aanleiding tot vier funksionaliteite wat vir hoogs sensitiewe geteikende analise of spektrale onledings gebruik kan word. Eerstens word beide massa analiseerders vir enkel-ioon frekwensies opgestel, spesifiek tot die teikenkomponent en een of meer van sy produkfragmente, wat verkry word deur komponentspesifieke fragmentasie. Hierdie modus is by uitstek geskik vir spoorvlakontleding van komplekse monsters, selfs wanneer die teikenkomponente nie chromatografies van die matriks geskei is nie. In hierdie studie is die tegniek aangewend vir die hoogs sensitiewe bepaling van spoorvlak komponente wat nie met konvensionele detektors gemeet kon word nie. Die aanwending van hierdie tegniek word gedemonstreer vir die spoorvlakbepaling van natamycin, etielkarbamaat en 3-alkiel-2-metoksiepierasiene in wyn. Natamycin is ‘n antimikrobiese preserveermiddel wat ontoelaatbaar is in wyn in die Europese Unie. ‘n Vinnige en sensitiewe metode vir die bepaling van natamycin is ontwikkel, en word reeds sedert 2009 aangewend om hierdie uiters belangrike sektor van die Suid-Afrikaanse wyn uitvoerbedryf te reguleer. Etielkarbamaat is ‘n karsinogeen wat natuurlik voorkom in spoorhoeveelhede in alkoholiese produkte. Dit kan ook onder sekere omstandighede akkumuleer in wyn en in hoë konsentrasies voorkom in vrugtebrandewyne. Die bepaling van etielkarbamaat word bemoeilik deur sy chemiese eienskappe, en gevolglik word analitiese metodes gekenmerk deur uitgebreide, arbeidsintensiewe monstervoorbereiding en die gebruik van groot hoeveelhede, meestal giftige, oplosmiddels. ‘n Nuwe metode vir die bepaling van etielkarbamaat in wyn, gefortifiseerde wyn en spiritualië word beskryf en word aangewend om die faktore vir vorming daarvan te ondersoek. Die metode word aangewend om die Suid-Afrikaanse bedryf te ouditeer in terme van die voedselveiligheid mandaat van die Staat, en om te verseker dat uitvoere voldoen aan standaarde vir internasionale handel. Metoksiepierasiene is vlugtige, ultraspoorvlak wynaromakomponente wat verantwoordelik is vir die kenmerkede kultivarkarakter van Sauvignon blanc wyne. Hul analitiese bepaling word bemoeilik deur hulle lae konsentrasies in wyn. Die ladingskapasiteit van vloeistofchromatografie tesame met die sensitiwiteit en selektiwiteit van massaspektrometrie was benut om hoogs gekonsentreerde ekstrakte te ontleed. Baie hoë vlakke van sensitiwiteit word sodoende verkry. Die verrigting van die metode was voldoende om hierdie komponente teen hulle natuurlike konsentrasies te kwantifiseer, insluitende die eerste kwantifisering en spektrale bevestiging van 3-etiel-2-metoksiepierasien. Omvattende data van die vlakke van hierdie komponente in Suid- Afrikaanse Sauvignon blanc wyne word getoon en statistiese ontleding is gedoen om korrelasies tussen veranderlikes soos oorsprong en oesjaar sowel as basiese wyn veranderlikes soos byvoorbeeld appelsuur, met metoksiepierasienvlakke te ondersoek. Verder was die toepassing van vloeistofchromatografie – tandem massaspektrometrie tot struktuurbepaling en skandering vir groepe van komponente gedemonstreer vir die ontleding van rooiwyn antosianiene. Die antosianien-glukosiede is verantwoordelik vir die kleur van rooi druiwe en wyn, dra by tot die sensoriese eienskappe daarvan, en is ook relevant as gevolg van die voordelige biologiese eienskappe daarvan. Die bepaling van hierdie komponente word gekompliseer deur hulle groot getalle en strukturele diversiteit, verder bemoeilik deur die wye verskeidenheid van reaksies wat hulle ondergaan tydens veroudering. Daar is ook ‘n gebrek aan beskikbaarheid van standaarde vir die meeste van die lede van hierdie klas van komponente. Tandem massaspektrometrie was in skanderingsmodus gebruik vir hoogs selektiewe deteksie van die antosianien-glukosiede deur die voorspelbare eliminasie van die suiker komponent in neutrale verliesskandering te benut. Gelyktydige skanderings van die komponente wat met neutraleverliesskandering waargeneem word, is gebruik vir ondubbelsinnige komponent identifikasie. Die metode volg daarom ‘n eenvoudige en gestruktureerde benadering vir piek identifikasie wat gebaseer is op chromatografiese orde, sowel as massaspektrale inligting, om ‘n hoë vlak van sekerheid aan die identifikasie van komponente te verleen. Samevattend, word daar getoon deur die werk wat in hierdie dissertasie uiteengesit is dat vloeistofchromatografie – tandem massaspektrometrie ‘n veelsydige en kragtige tegniek bied vir chemiese analise relevant tot die wynbedryf. Die sensitiwiteit, selektiwiteit en spektrale vermoëns van die tegniek word duidelik deur toepassings in die dissertasie getoon.
Peng, Chiung-Yu. "Identification and quantification of volatile organic compound emissions from buildings and heating, ventilating and air conditioning systems." Ann Arbor, Mich. : University of Michigan, 1998. http://books.google.com/books?id=yxIvAAAAMAAJ.
Full textWard, Amber L. "Identification of Genes Required to Synthesize an Antibiotic-like Compound from the Soil Bacterium Rhodococcus sp. MTM3W5.2." Digital Commons @ East Tennessee State University, 2015. https://dc.etsu.edu/etd/2558.
Full textAsian, Jelita, and jelitayang@gmail com. "Effective Techniques for Indonesian Text Retrieval." RMIT University. Computer Science and Information Technology, 2007. http://adt.lib.rmit.edu.au/adt/public/adt-VIT20080110.084651.
Full textBall, Lathan. "Development of class-specific and compound specific antibodies for the detection, identification and exposure monitoring of genotoxic carcinogens." Thesis, University of Edinburgh, 1997. http://hdl.handle.net/1842/10715.
Full textBooks on the topic "Compound identification"
Vermerris, Wilfred. Phenolic compound biochemistry. Dordrecht: Springer, 2008.
Find full textClayton, Bassler G., and Morrill Terence C. 1940-, eds. Spectrometric identification of organic compounds. 5th ed. New York: Wiley, 1991.
Find full textSilverstein, Robert M. Spectrometric identification of organic compounds. 6th ed. New York: Wiley, 1998.
Find full textSilverstein, Robert M. Spectrometric identification of organic compounds. 5th ed. New York: Wiley, 1991.
Find full textX, Webster Francis, and Kiemle David J, eds. Spectrometric identification of organic compounds. 7th ed. Hoboken, NJ: John Wiley & Sons, 2005.
Find full textThe systematic identification of organic compounds. 8th ed. Danvers, MA: Wiley, 2004.
Find full textFeinstein, Karen. Guide to spectroscopic identification of organic compounds. Boca Raton: CRC Press, 1995.
Find full textHermann, Christine K. F. Solutions manual - The systematic identification of organic compounds. 8th ed. Hoboken, N.J: Wiley, 2004.
Find full textPacáková, V. Chromatographic retention indices: An aid to identification of organic compounds. New York: E. Horwood, 1992.
Find full textSubarnas, Anas. Identification of novel anticancer compounds from primates-consumed plant: Final report. Jakarta]: Kementerian Pendidikan Nasional, 2010.
Find full textBook chapters on the topic "Compound identification"
Sosnowski, Łukasz, and Dominik Ślęzak. "Comparators for Compound Object Identification." In Lecture Notes in Computer Science, 342–49. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21881-1_53.
Full textRasooli, Mohammad Sadegh, Heshaam Faili, and Behrouz Minaei-Bidgoli. "Unsupervised Identification of Persian Compound Verbs." In Advances in Artificial Intelligence, 394–406. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-25324-9_34.
Full textNguyen, Khoa, Dat Tran, Wanli Ma, and Dharmendra Sharma. "A Proposed Approach to Compound File Fragment Identification." In Network and System Security, 493–500. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11698-3_38.
Full textBerns, Anton, John Allen, Harald Mikkers, Blanca Scheijen, and Jos Jonkers. "Identification and Characterization of Collaborating Oncogenes in Compound Mutant Mice." In The Biology of Tumors, 15–30. Boston, MA: Springer US, 1998. http://dx.doi.org/10.1007/978-1-4899-1352-4_2.
Full textLajiness, Michael S., and Veerabahu Shanmugasundaram. "Strategies for the Identification and Generation of Informative Compound Sets." In Methods in Molecular Biology, 111–29. Totowa, NJ: Humana Press, 2004. http://dx.doi.org/10.1385/1-59259-802-1:111.
Full textHe, Zan, and Caijun Li. "Identification on Semantic Orientation of Adjectives in Nominal Compound Phrases AN1N2." In Lecture Notes in Computer Science, 242–50. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-36337-5_25.
Full textCao, Li-Li, Zhi-Shui Zhang, Peng Chen, and Jun Zhang. "Compound Identification Using Random Projection for Gas Chromatography-Mass Spectrometry Data." In Lecture Notes in Computer Science, 686–92. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-22053-6_71.
Full textZhang, Jiaping, Xu Li, Qianwei He, Zihao Huang, Ye Yang, and Lei Liu. "A Compound Attitude Control System for a High Coupling Reentry Vehicle." In Proceedings of the 11th International Conference on Modelling, Identification and Control (ICMIC2019), 1139–50. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-15-0474-7_107.
Full textSun, Zhan-Li, Kin-Man Lam, and Jun Zhang. "A Mass Spectra-Based Compound-Identification Approach with a Reduced Reference Library." In Intelligent Computing Theories and Technology, 672–76. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39482-9_77.
Full textLiao, Li-Huan, Yi-Fei Zhu, Li-Li Cao, and Jun Zhang. "Combine Multiple Mass Spectral Similarity Measures for Compound Identification in GC-MS." In Intelligent Computing in Bioinformatics, 255–61. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-09330-7_31.
Full textConference papers on the topic "Compound identification"
Liu, Junxiu, Bin Du, Zhengchao Shen, and Haijiang Zhu. "Organic Compound Identification Based on Terahertz Spectrum." In 2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS). IEEE, 2018. http://dx.doi.org/10.1109/ddcls.2018.8515926.
Full textBhagat, Amol P., and Kiran A. Dongre. "Nearest cluster-based compound network protocol identification." In 2015 International Conference on Green Computing and Internet of Things (ICGCIoT). IEEE, 2015. http://dx.doi.org/10.1109/icgciot.2015.7380581.
Full textHong, Tang, Du Yi, Ding Jiaman, and Liu Liqiang. "Compound fault diagnosis based on probability box theory." In 2017 9th International Conference on Modelling, Identification and Control (ICMIC). IEEE, 2017. http://dx.doi.org/10.1109/icmic.2017.8321664.
Full textGuotao Hui, Yisheng Liu, and Yingchun Wang. "Design for networked control systems with compound Markovian transition probabilities." In 2011 International Conference on Modelling, Identification and Control. IEEE, 2011. http://dx.doi.org/10.1109/icmic.2011.5973769.
Full textKoo, Imhoi, Xiang Zhang, and Seongho Kim. "Comparison of Spectral Similarity Measures for Compound Identification." In 2011 5th International Conference on Bioinformatics and Biomedical Engineering (iCBBE). IEEE, 2011. http://dx.doi.org/10.1109/icbbe.2011.5780011.
Full textDalkilic, Feristah, and Zerrin Isik. "Graph-Based Data Mining for Compound Target Identification." In 2018 3rd International Conference on Computer Science and Engineering (UBMK). IEEE, 2018. http://dx.doi.org/10.1109/ubmk.2018.8566322.
Full textCao, Lili, Zhishui Zhang, and Jun Zhang. "Dynamic multiple spectral similarity measures for compound identification." In 2013 6th International Congress on Image and Signal Processing (CISP). IEEE, 2013. http://dx.doi.org/10.1109/cisp.2013.6743866.
Full textFord, Michael, Richard Jones, Ravi Amunugama, Danette Daniels, Rachel Ohana, Sergiy Levin, Thomas Kirkland, Marjeta Urh, and Keith Wood. "Abstract C158: A chemoproteomics strategy for target identification and lead compound optimization using chloroalkane derivatized compounds." In Abstracts: AACR-NCI-EORTC International Conference: Molecular Targets and Cancer Therapeutics; November 5-9, 2015; Boston, MA. American Association for Cancer Research, 2015. http://dx.doi.org/10.1158/1535-7163.targ-15-c158.
Full textHuebschman, Benjamin D., Frank Crowne, Ali M. Darwish, Edward A. Viveiros, Khamsouk Kingkeo, and Neil Goldsman. "Identification of Pre-Catastrophic Failure Mechanisms in High Power GaN HEMT." In 2011 IEEE Compound Semiconductor Integrated Circuit Symposium (CSICS). IEEE, 2011. http://dx.doi.org/10.1109/csics.2011.6062457.
Full textCerutti, Guillaume, Laure Tougne, Julien Mille, Antoine Vacavant, and Didier Coquin. "A model-based approach for compound leaves understanding and identification." In 2013 20th IEEE International Conference on Image Processing (ICIP). IEEE, 2013. http://dx.doi.org/10.1109/icip.2013.6738302.
Full textReports on the topic "Compound identification"
Alam, Todd Michael, and Rick Lansdon. Development and Investigation of NMR tools for chiral compound identification. Office of Scientific and Technical Information (OSTI), September 2014. http://dx.doi.org/10.2172/1171573.
Full textRoberge, Michel. Identification and Characterization of Novel Antimitotic Compounds for the Treatment of Breast Cancer. Fort Belvoir, VA: Defense Technical Information Center, August 2001. http://dx.doi.org/10.21236/ada396662.
Full textRoberge, Michel. Identification and Characterization of Novel Antimitotic Compounds for the Treatment of Breast Cancer. Fort Belvoir, VA: Defense Technical Information Center, August 2000. http://dx.doi.org/10.21236/ada383238.
Full textRoberge, Michel. Identification and Characterization of Novel Antimitotic Compounds for the Treatment of Breast Cancer. Fort Belvoir, VA: Defense Technical Information Center, August 2002. http://dx.doi.org/10.21236/ada409399.
Full textSinha, D. N., K. Springer, W. Han, D. Lizon, and S. Kogan. Applications of swept-frequency acoustic interferometer for nonintrusive detection and identification of chemical warfare compounds. Office of Scientific and Technical Information (OSTI), December 1997. http://dx.doi.org/10.2172/555542.
Full textHenderson, Terry J. Nuclear Magnetic Resonance Identification of Military Nerve Agents and Related Compounds by Two-Dimensional 31P-1H Heteronuclear Overhauser Effect Spectroscopy. Fort Belvoir, VA: Defense Technical Information Center, June 2010. http://dx.doi.org/10.21236/ada524492.
Full textLenz, Mark. RV POSEIDON Fahrtbericht / Cruise Report POS536/Leg 1. GEOMAR, October 2020. http://dx.doi.org/10.3289/geomar_rep_ns_56_2020.
Full textBeck, Aaron. RiverOceanPlastic: Land-ocean transfer of plastic debris in the North Atlantic, Cruise No. AL534/2, 05 March – 26 March 2020, Malaga (Spain) – Kiel (Germany). GEOMAR Helmholtz Centre for Ocean Research Kiel, 2020. http://dx.doi.org/10.3289/cr_al534-2.
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