Academic literature on the topic 'Bsd2'
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Journal articles on the topic "Bsd2"
Liu, X. F., and V. C. Culotta. "The requirement for yeast superoxide dismutase is bypassed through mutations in BSD2, a novel metal homeostasis gene." Molecular and Cellular Biology 14, no. 11 (November 1994): 7037–45. http://dx.doi.org/10.1128/mcb.14.11.7037.
Full textLiu, X. F., and V. C. Culotta. "The requirement for yeast superoxide dismutase is bypassed through mutations in BSD2, a novel metal homeostasis gene." Molecular and Cellular Biology 14, no. 11 (November 1994): 7037–45. http://dx.doi.org/10.1128/mcb.14.11.7037-7045.1994.
Full textSullivan, James A., Michael J. Lewis, Elina Nikko, and Hugh R. B. Pelham. "Multiple Interactions Drive Adaptor-Mediated Recruitment of the Ubiquitin Ligase Rsp5 to Membrane Proteins In Vivo and In Vitro." Molecular Biology of the Cell 18, no. 7 (July 2007): 2429–40. http://dx.doi.org/10.1091/mbc.e07-01-0011.
Full textKagiwada, Satoshi, Brian G. Kerns, Todd P. McGee, Min Fang, Kohei Hosaka, and Vytas A. Bankaitis. "The Yeast BSD2-1 Mutation Influences Both the Requirement for Phosphatidylinositol Transfer Protein Function and Derepression of Phospholipid Biosynthetic Gene Expression in Yeast." Genetics 143, no. 2 (June 1, 1996): 685–97. http://dx.doi.org/10.1093/genetics/143.2.685.
Full textLapinskas, P. J., K. W. Cunningham, X. F. Liu, G. R. Fink, and V. C. Culotta. "Mutations in PMR1 suppress oxidative damage in yeast cells lacking superoxide dismutase." Molecular and Cellular Biology 15, no. 3 (March 1995): 1382–88. http://dx.doi.org/10.1128/mcb.15.3.1382.
Full textPortnoy, Matthew E., Xiu Fen Liu, and Valeria Cizewski Culotta. "Saccharomyces cerevisiae Expresses Three Functionally Distinct Homologues of the Nramp Family of Metal Transporters." Molecular and Cellular Biology 20, no. 21 (November 1, 2000): 7893–902. http://dx.doi.org/10.1128/mcb.20.21.7893-7902.2000.
Full textAigner, H., R. H. Wilson, A. Bracher, L. Calisse, J. Y. Bhat, F. U. Hartl, and M. Hayer-Hartl. "Plant RuBisCo assembly inE. coliwith five chloroplast chaperones including BSD2." Science 358, no. 6368 (December 7, 2017): 1272–78. http://dx.doi.org/10.1126/science.aap9221.
Full textTominaga, Jun, Shunichi Takahashi, Atsushi Sakamoto, and Hiroshi Shimada. "Arabidopsis BSD2 reveals a novel redox regulation of Rubisco physiology in vivo." Plant Signaling & Behavior 15, no. 4 (March 31, 2020): 1740873. http://dx.doi.org/10.1080/15592324.2020.1740873.
Full textTakahashi, Tsutomu, Takemitsu Furuchi, and Akira Naganuma. "A novel role for Bsd2 in the resistance of yeast to adriamycin." Journal of Cellular Physiology 202, no. 1 (2004): 100–104. http://dx.doi.org/10.1002/jcp.20082.
Full textSalesse, Coralie, Robert Sharwood, Wataru Sakamoto, and David Stern. "The Rubisco Chaperone BSD2 May Regulate Chloroplast Coverage in Maize Bundle Sheath Cells." Plant Physiology 175, no. 4 (October 31, 2017): 1624–33. http://dx.doi.org/10.1104/pp.17.01346.
Full textDissertations / Theses on the topic "Bsd2"
Sawers, Ruairidh J. H. "Functional analysis of bundle sheath defective2." Thesis, University of Oxford, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.342541.
Full textde, Mesa Krystle Elaine. "BSDF acquisition and analysis of paper." Diss., [La Jolla] : University of California, San Diego, 2010. http://wwwlib.umi.com/cr/ucsd/fullcit?p1477132.
Full textTitle from first page of PDF file (viewed June 17, 2010). Available via ProQuest Digital Dissertations. Vita. Includes bibliographical references (leaves 40-43).
Liu, Zhiwei. "The BSD Socket API for Simulator." The University of Waikato, 2007. http://hdl.handle.net/10289/2349.
Full textPapas, Marios. "A physically-based BSDF for modeling the appearance of paper." Diss., [La Jolla] : University of California, San Diego, 2010. http://wwwlib.umi.com/cr/ucsd/fullcit?p1477133.
Full textTitle from first page of PDF file (viewed June 23, 2010). Available via ProQuest Digital Dissertations. Includes bibliographical references (leaves 47-49).
Piñol, Piñol Oriol. "Implementation and Evaluation of BSD Elliptic Curve Cryptography." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-176839.
Full textBydell, Sofie. "Extension of the Benchmark Simulation Model no. 2 with a model for chemical precipitation of phosphorus." Thesis, Uppsala universitet, Reglerteknik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-203454.
Full textSverige har idag drygt 2000 reningsverk. Reningsverkens utsläpp av kväve och fosfor bidrar dagligen till övergödning i Östersjön och därtill anslutna vattendrag. För att minska utsläpp av fosfor har i Sverige sedan mitten på 1960-talet kemisk fällning använts. Idag används programvara för att testa och utvärdera olika strategier i reningsverken, detta med syftet att förbättra driften och få en helhetsbild över processen. En av dessa modeller är Benchmark Simulation Model No. 2 (BSM2). För att simuleringsprogram ska ge en så bra bild som möjligt av verkligheten är det viktigt att de beskriver processen, i detta fall avloppsvattenrening, på ett bra sätt. BSM2 tar i dagsläget inte hänsyn till belastningen av fosfor, om fosfor inkluderades i modellen skulle det beskriva processen bättre. I detta examensarbete, har författaren undersökt möjligheten att utvidga BSM2, till att inkludera fosfor och kemisk fällning i modellen. Resultaten erhållna från modellen har därefter jämförts med mätdata från Henriksdals reningsverk i Stockholm. Resultatet visade att en modell för fosfor och kemisk fällning kunde, efter vissa förenklingar, inkluderas i BSM2. I modellen användes förfällning och fällningskemikalier tillsattes med hjälp av en PI regulator. Generellt visade resultaten att modellen hade förmåga att beskriva det totala flödet av fosfor i reningsverket. I mätningarna från Henriksdal var medelvärdet på total fosfor ut från försedimenteringen 3,97 mg/l och från eftersedimenteringen 0,43 mg/l. Från en steady state simulering i BSM2 blev värdena 4,26 och 0,44 mg/l och medelvärdena från en dynamisk simulering 3,96 och 0,46 mg/l. Även om medelvärdena på totalfosfor stämmer relativt bra överens, fann man det svårt att simulera olika fraktioner av fosfor ut från eftersedimenteringen. För att bättre kunna bedöma resultatet och hur förenklingar i modellen påverkar resultatet behöver flera mätningar göras och jämföras med modellens resultat. En justering av parametrar i BSM2 måste även göras, detta för att anpassa modellen till det givna avloppsreningsverket bättre.
Development and dynamic analysis of operational strategies for enhanced energy efficiency of wastewater treatment systems
Andreani, Anna. "Conception d’un dispositif de mesure de BSDF pour l’éco-conception de bâtiments." Thesis, Lyon, 2020. http://www.theses.fr/2020LYSET003.
Full textIn a context of increasing scarcity of primary energy, it is necessary to work to reduce energy consumption related to lighting in buildings while ensuring that occupants enjoy good visual comfort. Physical-realistic simulation using light simulation software is a tool for evaluating various variants of a building. It can be used in multi-criteria optimization approaches with a view to deploying decision-support systems designed to identify the best possible trade-offs between energy consumption and user comfort. Insofar as the optical properties of building materials (opaque, transparent, coloured, isotropic, anisotropic and with textures or micro-reliefs) are an input to light simulation software, their characterization is an essential prerequisite for the implementation of this eco-design approach for buildings. The optical properties of materials are described by the mathematical formalism of the BSDF (Bidirectional Scattering Distribution Function) and can be integrated into most light simulation software in the form of analytical models or tabulated measurements. Widely used analytical models can be used to characterize optically simple materials but are difficult to extend to more complex materials. Moreover, no device currently exists that can finely characterise the full range of materials in a building in an operational time frame using tabulated measurements. Therefore, the aim of this thesis work is to design a device for the fast and accurate measurement of the optical characteristics of materials for the physico-realistic simulation of buildings. A first measuring device has been designed and has shown the feasibility of operating an instrument equipped with multi-sensors as a detector. It identified the pitfalls to be avoided as well as the obstacles to be circumvented for the design of a second, more operational measuring device with increased capabilities. Based on an instrument equipped with multi-sensors and a computer-controlled positioning system, it allows the measurement of the optical properties of the building's constituent materials in an operational context. The raw data acquisition and processing phases are supervised by computer. The duration of the measurements ranges from 5 minutes 40 seconds to 3 hours 2 minutes and 30 seconds. Their average repeatability is 97.88%
Fatehi, Daryoush. "Technical Quality of Deep Hyperthermia Using the BSD-2000." [S.l.] : Rotterdam : [The Author] ; Erasmus University [Host], 2007. http://hdl.handle.net/1765/10546.
Full textJing, Shuai. "Some applications of BSDE theory : fractional BDSDEs and regularity properties of Integro-PDEs." Brest, 2011. http://www.theses.fr/2011BRES2040.
Full textIn the first part of my thesis, by adapting the idea of Jien and Ma (2010), the main objective is to study the (semilinear or linear) doubly stochastic differential equations driven by a standard Brownian motion and an independent fractional Brownian motion, as well as the associated stochastic partial differential equations driven by the fractional Brownian motion. For the semilinear case, which is composed by a paper in collaboration with Jorge A. Leόn (CINVESTAV, Mexico), we use the Malliavin calculus in the frame of fractional Brownian motion and the anticipative Girsanov transformation. For the nonlinear case, we apply the Doss-Sussmann transformation. In the second part we study the regularity properties, i. E. , the joint Lipschitz continuity and the joint semiconcavity, of the viscosity solution of a general class of non local integro-partial differential equations of the type of Hamilton Jacobi-Bellman. For this end we employ the stochastic interpretation by a controlled backward stochastic differential equation with jumps, by applying the time change for the Brownian motion and Kulik’s transformation for the Poisson random measure. Our work is the generalization of the works by Buckdahn, Cannarsa and Quincampoix (2010) as well as Buckdahn, Huang and Li (2011)
COSTA, Adriana Barbosa da. "Desenvolvimento de Metamodelos Kriging e otimização de uma planta de tratamento de efluentes (BSM2)." Universidade Federal de Campina Grande, 2016. http://dspace.sti.ufcg.edu.br:8080/jspui/handle/riufcg/279.
Full textMade available in DSpace on 2018-03-09T21:45:39Z (GMT). No. of bitstreams: 1 ADRIANA BARBOSA DA COSTA - DISSERTAÇÃO PPGEQ 2016..pdf: 2381705 bytes, checksum: 9ae8c9d691a6fa4d5aa82e113e910d76 (MD5) Previous issue date: 2016-12-14
Um constante estudo para o tratamento de águas residuais e descarte de efluentes é necessário a fim de lidar com normas cada vez mais rígidas nesse âmbito. As estações de tratamento de águas residuais podem ser consideradas sistemas altamente não-lineares, devido a existência de perturbações, bem como a interação de um número considerável de variáveis do processo. Neste contexto, o estudo, otimização e controle dessas plantas são essenciais para o bom funcionamento do processo em atenção às exigências. Vários métodos de otimização são propostos na literatura, e suas implementações em aplicações de engenharia podem ser significativamente melhoradas pelo uso de metamodelos representando o modelo rigoroso do processo a partir de dados computacionais. O presente trabalho trata do desenvolvimento de metamodelos, pela aplicação do modelo Kriging, para um processo de tratamento de águas residuais. Para tal, são realizadas as etapas de amostragem de pontos, por meio do Latin Hypercube Sampling, estimação dos parâmetros e validação. A metodologia proposta baseiase na geração de dados computacionais por meio do modelo rigoroso para o Benchmark Simulation Model N°2, implementado no Simulink®, e na otimização do processo utilizando os metamodelos Kriging. Estes modelos obtidos através de dados de processo rigoroso mostram uma alta precisão e minimização do esforço computacional para o processo de otimização. A Programação Quadrática Seqüencial e o Algoritmo Genético são utilizados para a tarefa de otimização, bem como a geração do modelo de Otimização em Tempo Real. Os resultados obtidos no modelo de referência demonstram a potencialidade da metodologia proposta para minimizar o custo do processo enquanto obedecem as restrições do efluente para as águas residuais tratadas.
A continuous study for improving the treatment of wastewater and the effluent disposal is necessary in order to deal with increasingly stringent environmental laws in this field. Wastewater treatment plants can be considered as highly non-linear systems, due to the existing disturbances as well as the interaction of a considerable number of process variables. In such a context, the study, optimization and control of these plants are essential for the proper operation of the process with respect to requirements. Several optimization methods are proposed in the literature and, their implementation for engineering applications can be significantly improved by the use of metamodels representing the rigorous model of the process starting from computational data. The present work deals with the development of metamodels, such as the Kriging model, a wastewater treatment process. To this end, the steps of data sampling, through Latin Hypercube Sampling, parameter estimation and validation are performed. The proposed methodology is based on the generation of computational data through the rigorous model of the Benchmark Simulation Model No. 2, implemented in Simulink®, and the optimization of the process using of the Kriging metamodels. These models obtained through the rigorous process data show a high accuracy and the computational effort of the optimization methods. The Sequential Quadratic Programming and Genetic Algorithm are used for the optimization task, as well as the generation of the Real Time Optimization model. The achieved results on benchmark model demonstrate the potentiality of the proposed methodology, to minimize the process cost while obeying the effluent restrictions of the treated wastewater.
Books on the topic "Bsd2"
Negus, Chris. BSD UNIX Toolbox. New York: John Wiley & Sons, Ltd., 2008.
Find full textDreyfus, Emmanuel. BSD: Les dessous d'Unix. 2nd ed. Paris: Eyrolles, 2004.
Find full textTim Buku 23 tahun Santa Ursula BSD. Life journey Santa Ursula BSD. Bekasi, Jawa Barat: PT Rumah Perubahan, 2013.
Find full textIllustrated UNIX System V/BSD. Plano, Tex: Wordware Pub., 1992.
Find full textBritish Library. Bibliographic Services Division. Advisory Committee. Mainframe computer systems in BSD. [Boston Spa]: British Library, 1985.
Find full textSlob-gñer-khaṅ, Sa-rā Bod-kyi Mtho-rim, ed. Sprin gyi pho nãʼi dpyad gźi bsdu sgrig. Sa-rā]: Sa-rā Bod-kyi Mtho-rim Slob-gñer-khaṅ nas ʼgrem spel byas, 2013.
Find full textservice), SpringerLink (Online, ed. The Definitive Guide to PC-BSD. Berkeley, CA: Apress, 2010.
Find full textLavigne, Dru. The Definitive Guide to PC-BSD. Berkeley, CA: Apress, 2010. http://dx.doi.org/10.1007/978-1-4302-2642-0.
Full textKhristov, Ivan. Uchastnit͡s︡ite v uchreditelnii͡a︡ kongres na BSDP, 2 avgust 1891. Sofii͡a︡: Izd-vo SPEKTŬR, 1991.
Find full textchromatic, ed. BSD Hacks: 100 Industrial-Strength Tips & Tools. Beijing: O'Reilly, 2004.
Find full textBook chapters on the topic "Bsd2"
Bensoussan, Alain. "Additional Results for BSDE." In Interdisciplinary Applied Mathematics, 319–50. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-75456-7_12.
Full textLavigne, Dru. "Introducing PC-BSD." In The Definitive Guide to PC-BSD, 3–8. Berkeley, CA: Apress, 2010. http://dx.doi.org/10.1007/978-1-4302-2642-0_1.
Full textLavigne, Dru. "Installing PC-BSD." In The Definitive Guide to PC-BSD, 9–46. Berkeley, CA: Apress, 2010. http://dx.doi.org/10.1007/978-1-4302-2642-0_2.
Full textParker, Kenneth P. "Boundary-Scan Description Language (BSDL)." In The Boundary-Scan Handbook, 49–107. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-01174-5_2.
Full textWang, Guangchen, Zhen Wu, and Jie Xiong. "Filtering of BSDE and FBSDE." In An Introduction to Optimal Control of FBSDE with Incomplete Information, 27–40. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-79039-8_2.
Full textParker, Kenneth P. "Boundary-Scan Description Language (BSDL)." In The Boundary — Scan Handbook, 49–106. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/978-1-4615-0367-5_2.
Full textParker, Kenneth P. "Boundary-Scan Description Language (BSDL)." In The Boundary-Scan Handbook, 53–96. Boston, MA: Springer US, 1992. http://dx.doi.org/10.1007/978-1-4757-2142-3_2.
Full textHirota, E., K. Kuchitsu, T. Steimle, J. Vogt, and N. Vogt. "27 BS2 Boron disulfide." In Molecules Containing No Carbon Atoms and Molecules Containing One or Two Carbon Atoms, 57. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-540-70614-4_28.
Full textGopych, Petro, and Ivan Gopych. "BSDT ROC and Cognitive Learning Hypothesis." In Advances in Intelligent and Soft Computing, 13–23. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16626-6_2.
Full textAnkirchner, Stefan, and Peter Imkeller. "Hedging with Residual Risk: A BSDE Approach." In Seminar on Stochastic Analysis, Random Fields and Applications VI, 311–25. Basel: Springer Basel, 2011. http://dx.doi.org/10.1007/978-3-0348-0021-1_19.
Full textConference papers on the topic "Bsd2"
Klicker, Kyle A., David Fuhrman, and Donald R. Bjork. "BSDF database." In San Dieg - DL Tentative, edited by Robert P. Breault. SPIE, 1990. http://dx.doi.org/10.1117/12.22663.
Full textCady, Fredrick M., Donald R. Bjork, Jeffrey Rifkin, and John C. Stover. "Linearity In BSDF Measurements." In 33rd Annual Techincal Symposium, edited by John C. Stover. SPIE, 1990. http://dx.doi.org/10.1117/12.962849.
Full textDelbaen, Freddy. "BSDE and Risk Measures." In Proceedings of the International Congress of Mathematicians 2010 (ICM 2010). Published by Hindustan Book Agency (HBA), India. WSPC Distribute for All Markets Except in India, 2011. http://dx.doi.org/10.1142/9789814324359_0179.
Full textArts, Thijs, Dana Tomuta, and Volker Kirschner. "Black coatings BSDF database." In International Conference on Space Optics — ICSO 2021, edited by Zoran Sodnik, Bruno Cugny, and Nikos Karafolas. SPIE, 2021. http://dx.doi.org/10.1117/12.2600049.
Full textKurt, Murat, Greg Ward, and Nicolas Bonneel. "A data-driven BSDF framework." In SIGGRAPH '16: Special Interest Group on Computer Graphics and Interactive Techniques Conference. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2945078.2945109.
Full textGür, Bilgehan, Hedser van Brug, Man Xu, and Elizabeth Vela. "Diffusers, properties, and performance in BSDF." In SPIE Optical Engineering + Applications, edited by Leonard M. Hanssen. SPIE, 2014. http://dx.doi.org/10.1117/12.2062174.
Full textKhan, Iqbal Uddin, Syed Daniyal Nadeem, Faizan Hussain, Ahmar Murtaza, and Sadiq Ur Rehman. "Biometric Storage Device (BSD)." In 2018 IEEE 21st International Multi-Topic Conference (INMIC). IEEE, 2018. http://dx.doi.org/10.1109/inmic.2018.8595676.
Full textCassarly, William J. "Using the on-axis BSDF at a dielectric surface to model the BSDF at off-axis angles." In SPIE Optical Systems Design, edited by Tina E. Kidger and Stuart David. SPIE, 2011. http://dx.doi.org/10.1117/12.897290.
Full textLi, Xixi, Ruimin Hu, Zheng Wang, and Toshihiko Yamasaki. "Location Predicts You: Location Prediction via Bi-direction Speculation and Dual-level Association." In Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. California: International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/74.
Full textLi, Hongsong, and Fengxia Li. "Image-based rendering of spatially-varying BSDF." In 2010 International Conference on Audio, Language and Image Processing (ICALIP). IEEE, 2010. http://dx.doi.org/10.1109/icalip.2010.5685197.
Full textReports on the topic "Bsd2"
Kantor, B. BSD Rlogin. RFC Editor, September 1991. http://dx.doi.org/10.17487/rfc1258.
Full textKantor, B. BSD Rlogin. RFC Editor, December 1991. http://dx.doi.org/10.17487/rfc1282.
Full textGeisler-Moroder, David, Eleanor S. Lee, Gregory Ward, Bruno Bueno, Lars O. Grobe, Taoning Wang, Bertrand Deroisy, and Helen Rose Wilson. BSDF Generation Procedures for Daylighting Systems. IEA SHC Task 61, January 2021. http://dx.doi.org/10.18777/ieashc-task61-2021-0001.
Full textLonvick, C. The BSD Syslog Protocol. RFC Editor, August 2001. http://dx.doi.org/10.17487/rfc3164.
Full textSchryver, V. PPP BSD Compression Protocol. RFC Editor, August 1996. http://dx.doi.org/10.17487/rfc1977.
Full textBound, J. IPng BSD Host Implementation Analysis. RFC Editor, August 1994. http://dx.doi.org/10.17487/rfc1682.
Full textResor, Brian Ray, and Joshua A. Paquette. A NuMAD model of the Sandia BSDS blade. Office of Scientific and Technical Information (OSTI), October 2012. http://dx.doi.org/10.2172/1055882.
Full text