Academic literature on the topic 'Transfer'
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Journal articles on the topic "Transfer"
Tichá, I., and J. Havlíček. "Knowledge transfer." Agricultural Economics (Zemědělská ekonomika) 53, No. 12 (January 7, 2008): 539–44. http://dx.doi.org/10.17221/1223-agricecon.
Full textMartinez EJ, Salmeron. "Current Status of Nerve Transfers: “Supercharge End-to-Side Transfer in Severe Cubital Syndrome”." Journal of Orthopaedics & Bone Disorders 4, no. 2 (2020): 1–11. http://dx.doi.org/10.23880/jobd-16000200.
Full textMueller, Stephanie K., Julie Fiskio, and Jeffrey Schnipper. "Interhospital Transfer: Transfer Processes and Patient Outcomes." Journal of Hospital Medicine 14, no. 8 (April 8, 2019): 486–91. http://dx.doi.org/10.12788/jhm.3192.
Full textWagner, Emilio, Pablo Wagner, Diego Zanolli de Solminihac, Cristian Ortiz, Andres Keller Díaz, Ruben Radkievich, Gunther Redenz Gallardo, and Rodrigo Guzman-Venegas. "Posterior tibial tendon transfer." Foot & Ankle Orthopaedics 2, no. 3 (September 1, 2017): 2473011417S0004. http://dx.doi.org/10.1177/2473011417s000400.
Full textJappelli, Tullio, Mario Padula, and Giovanni Pica. "DO TRANSFER TAXES REDUCE INTERGENERATIONAL TRANSFERS?" Journal of the European Economic Association 12, no. 1 (January 15, 2014): 248–75. http://dx.doi.org/10.1111/jeea.12044.
Full textWasadikar, Aditya. "Product Transfer Line." International journal of Emerging Trends in Science and Technology 04, no. 05 (June 2, 2017): 5204–6. http://dx.doi.org/10.18535/ijetst/v4i5.14.
Full textChuang, David. "Distal Nerve Transfers: A Perspective on the Future of Reconstructive Microsurgery." Journal of Reconstructive Microsurgery 34, no. 09 (May 16, 2018): 669–71. http://dx.doi.org/10.1055/s-0038-1656719.
Full textSARADA, Yukihiro, Ryosuke MATUMOTO, and Mamoru OZAWA. "A301 HEAT TRANSFER CHARACTERISTICS OF INTERNALLY FINNED TUBE(Heat Transfer-1)." Proceedings of the International Conference on Power Engineering (ICOPE) 2009.3 (2009): _3–1_—_3–6_. http://dx.doi.org/10.1299/jsmeicope.2009.3._3-1_.
Full textAbbas, Asad, Anders Avdic, Kathryn Chang Barker, and Peng Xiaobao. "Knowledge Transfer from Universities to Industry Through University Technology Transfer Offices." Nauka ta innovacii 14, no. 2 (March 30, 2018): 5–18. http://dx.doi.org/10.15407/scin14.02.005.
Full textAbbas, Asad, Anders Avdic, Kathryn Chang Barker, and Peng Xiaobao. "Knowledge Transfer from Universities to Industry Through University Technology Transfer Offices." Science and innovation 14, no. 2 (May 11, 2018): 5–18. http://dx.doi.org/10.15407/scine14.02.005.
Full textDissertations / Theses on the topic "Transfer"
Pereira, Guillaume. "Synthèse de nouveaux polymères en étoile à coeur cyclodextrine." Thesis, Evry-Val d'Essonne, 2015. http://www.theses.fr/2015EVRY0005/document.
Full textThe 1,2,3-triazole cycles are easily synthesized by the reaction between an azidure and a compound carrying an alkyne group mono-or disubstitued. Thos clock chemistry, with a copper catalysis leads to a family of 4-choloromethyl-1-(alkyl)-1H-1,2,3-triazole, susceptible to generate a nucleophilic specie. That allows an initiation reaction in cationic polymerization of 2-alkyl-2-oxazolines. Three kind of initiators habe been synthesized in order to obtain differenta rchitectures, as homopolymers from a model initiator, a PEG-PMeOx copolymer and a star polymer with cyclodextrin core and seven arms PMeOx. Polymerizations with model initiator highlighted initiation reaction of 2-alkyl-2-oxazolines polymerization, without being able to avoid reaction of spontaneous or monomer transfer. Addition of DTBP improves control. Synthesis of PEG-PMeOc has been proved by DOSY NMR and SEC. Synthesis of star polymer has been conducted according to different methods? The utilization of cyclodextrine derivatives with triazole functions is an interesting tool, but actually, we don't obtain high molar masses of star polymer. Other methods have been realized to reach this aim
Sandgren, Julius. "Transfer Time Reduction of Data Transfers between CPU and GPU." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-205272.
Full textFeng, Wu Xiao. "Asymmetric Transfer Hydrogenation & Transfer Hydrogenation in Water." Thesis, University of Liverpool, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.486307.
Full textGesua', Sive Salvadori Davide <1993>. "Transfer pricing." Master's Degree Thesis, Università Ca' Foscari Venezia, 2017. http://hdl.handle.net/10579/10654.
Full textGrosu, Vicentiu. "Heat transfer analysis of nanosecond laser-induced forward transfer." Ann Arbor, Mich. : ProQuest, 2006. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3208002.
Full textTitle from PDF title page (viewed July 6, 2007). Source: Dissertation Abstracts International, Volume: 67-02, Section: B, page: 1106. Adviser: David A. Willis. Includes bibliographical references.
Haskins, Rebecca Jane. "Microelectrochemical studies of atom transfer and chain transfer catalysts." Thesis, University of Warwick, 2001. http://wrap.warwick.ac.uk/56114/.
Full textHobbs, Stephen. "A pre-transfer assessment framework for international technology transfer." Thesis, University of Plymouth, 2002. http://hdl.handle.net/10026.1/664.
Full textTran, Thu-Trang. "Electron and multielectron reaction characterizations in molecular photosystems by laser flash photolysis, towards energy production by artificial photosynthesis." Thesis, Université Paris-Saclay (ComUE), 2019. http://www.theses.fr/2019SACLS320.
Full textThe energy demand of humanity is increasing rapidly, and shows no signs of slowing. Alongside this issue, abuse using fossil fuels is one of the main reasons which leads to an increase in atmospheric CO₂ concentration. These problems have to be solved in terms of both limiting CO₂ emission and finding renewable energy sources to replace fossil fuels. Nowadays, solar energy appears as one of the most effective renewable energy sources. Conversion of solar light energy to electricity in photovoltaics or to chemical energy through photocatalytic processes invariably involves photoinduced energy transfer and electron transfer. In this context, the aim of the thesis focuses on studying photoinduced processes in molecular photosystems using laser flash photolysis. The first theme of this thesis focus on studying single electron transfer in Donor-Acceptor Dyad systems towards optimization efficiency of charge separation and application in the photovoltaic organic solar cell. In the second theme of this thesis, two model systems of artificial photosynthesis were investigated to assess the possibility of stepwise charge accumulation on model molecules. A fairly good global yield of approximately 9% for the two charge accumulation on MV²⁺ molecule was achieved. Then, different photocatalytic systems, which have developed for CO₂ reduction, were studied. Understanding of the photoinduced processes is an important step toward improving the efficiency of reduction of CO₂ in practical photocatalytic systems
Chowdhury, Imran. "Scaling in social entrepreneurship : partnerships, knowledge transfer, and business models." Thesis, Cergy-Pontoise, Ecole supérieure des sciences économiques et commerciales, 2012. http://www.theses.fr/2012ESEC0002/document.
Full textThe purpose of this dissertation is to deepen the study of social entrepreneurship by examining how social entrepreneurs use partnerships and organize themselves to transfer knowledge. My research takes a first step towards building a theory of innovation transfer and scaling for social entrepreneurship. This study builds on three primary foundations. One is the literature on innovation transfer strategy, which seeks to develop a broad view of the various strategies used by firms to transfer innovations effectively. The second is the literature on social entrepreneurship, which highlights the value-creation focus of certain firms that emerge and operate where situations of simultaneous market and government failure exist. Third, I use the literature on institutions, in particular institutional logics, to explain how organizational processes impacted by multiple logics unfold. Using an inductive, multiple-case methodology, I illuminate the innovation transfer process as it relates to social entrepreneurs. My objective is threefold. First, I aim to understand how social entrepreneurs manage the innovation transfer process. Second, I wan to identify the crucial factors influencing innovation transfer between social entrepreneurs, distinguish these factors from those observed in more traditional settings, and examine their impact on the direction of the innovation transfer process. Third, and finally, I hope to offer possible alternative views to the discussion on “scaling” in the social sector, a debate which has, to date, focused on “scaling organizations” as the primary means to expand the scope and reach of innovations developed by social entrepreneurs
Lu, Ying. "Transfer Learning for Image Classification." Thesis, Lyon, 2017. http://www.theses.fr/2017LYSEC045/document.
Full textWhen learning a classification model for a new target domain with only a small amount of training samples, brute force application of machine learning algorithms generally leads to over-fitted classifiers with poor generalization skills. On the other hand, collecting a sufficient number of manually labeled training samples may prove very expensive. Transfer Learning methods aim to solve this kind of problems by transferring knowledge from related source domain which has much more data to help classification in the target domain. Depending on different assumptions about target domain and source domain, transfer learning can be further categorized into three categories: Inductive Transfer Learning, Transductive Transfer Learning (Domain Adaptation) and Unsupervised Transfer Learning. We focus on the first one which assumes that the target task and source task are different but related. More specifically, we assume that both target task and source task are classification tasks, while the target categories and source categories are different but related. We propose two different methods to approach this ITL problem. In the first work we propose a new discriminative transfer learning method, namely DTL, combining a series of hypotheses made by both the model learned with target training samples, and the additional models learned with source category samples. Specifically, we use the sparse reconstruction residual as a basic discriminant, and enhance its discriminative power by comparing two residuals from a positive and a negative dictionary. On this basis, we make use of similarities and dissimilarities by choosing both positively correlated and negatively correlated source categories to form additional dictionaries. A new Wilcoxon-Mann-Whitney statistic based cost function is proposed to choose the additional dictionaries with unbalanced training data. Also, two parallel boosting processes are applied to both the positive and negative data distributions to further improve classifier performance. On two different image classification databases, the proposed DTL consistently out performs other state-of-the-art transfer learning methods, while at the same time maintaining very efficient runtime. In the second work we combine the power of Optimal Transport and Deep Neural Networks to tackle the ITL problem. Specifically, we propose a novel method to jointly fine-tune a Deep Neural Network with source data and target data. By adding an Optimal Transport loss (OT loss) between source and target classifier predictions as a constraint on the source classifier, the proposed Joint Transfer Learning Network (JTLN) can effectively learn useful knowledge for target classification from source data. Furthermore, by using different kind of metric as cost matrix for the OT loss, JTLN can incorporate different prior knowledge about the relatedness between target categories and source categories. We carried out experiments with JTLN based on Alexnet on image classification datasets and the results verify the effectiveness of the proposed JTLN in comparison with standard consecutive fine-tuning. To the best of our knowledge, the proposed JTLN is the first work to tackle ITL with Deep Neural Networks while incorporating prior knowledge on relatedness between target and source categories. This Joint Transfer Learning with OT loss is general and can also be applied to other kind of Neural Networks
Books on the topic "Transfer"
Silva, S. R. De. Transfer. 2nd ed. [Colombo]: Employers' Federation of Ceylon, 1995.
Find full textWrobel, L. C., and C. A. Brebbia, eds. Heat Transfer. Berlin, Boston: De Gruyter, 1991. http://dx.doi.org/10.1515/9783110853209.
Full textVenkateshan, S. P. Heat Transfer. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-58338-5.
Full textFrisch, Hélène. Radiative Transfer. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-95247-1.
Full textBecker, Martin. Heat Transfer. Boston, MA: Springer US, 1986. http://dx.doi.org/10.1007/978-1-4684-1256-7.
Full textKucherlapati, Raju, ed. Gene Transfer. Boston, MA: Springer US, 1986. http://dx.doi.org/10.1007/978-1-4684-5167-2.
Full textvon Böckh, Peter, and Thomas Wetzel. Heat Transfer. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-19183-1.
Full textWinterton, R. H. S. Heat transfer. Oxford: Oxford University Press, 1997.
Find full textMills, Anthony F. Heat transfer. Homewood, IL: Irwin, 1992.
Find full text1950-, Klein Sanford A., ed. Heat transfer. 32 Avenue of the Americas, N.Y., NY: Cambridge University Press, 2008.
Find full textBook chapters on the topic "Transfer"
Sumi, Jason. "Transfer and Transform." In Transformative Practices for Minority Student Success, 50–63. New York: Routledge, 2023. http://dx.doi.org/10.4324/9781003448310-5.
Full textWiederhold, Gio. "Transfer Pricing and Rights Transfers." In Management for Professionals, 63–84. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-6611-6_4.
Full textGöpferich, Susanne. "Transfer and Transfer Studies." In Handbook of Translation Studies, 374–77. Amsterdam: John Benjamins Publishing Company, 2010. http://dx.doi.org/10.1075/hts.1.tra1.
Full textFöcking, Wiltrud, and Marco Parrino. "Transfer." In Praxis der Funktionalen Stimmtherapie, 227–31. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-46605-6_29.
Full textDöbele, Martina, and Ute Becker. "Transfer." In Ambulante Pflege von A bis Z, 354–57. Berlin, Heidelberg: Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-49885-9_95.
Full textRimrott, Fred P. J. "Transfer." In Introductory Orbit Dynamics, 51–70. Wiesbaden: Vieweg+Teubner Verlag, 1989. http://dx.doi.org/10.1007/978-3-322-90338-9_4.
Full textWeik, Martin H. "transfer." In Computer Science and Communications Dictionary, 1808. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_19876.
Full textPala, Nezih, Ahmad Nabil Abbas, Carsten Rockstuhl, Christoph Menzel, Stefan Mühlig, Falk Lederer, Joseph J. Brown, et al. "Transfer." In Encyclopedia of Nanotechnology, 2767. Dordrecht: Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-90-481-9751-4_100871.
Full textCasey-Maslen, Stuart, and Tobias Vestner. "Transfer." In A Guide to International Disarmament Law, 98–119. New York: Routledge, 2019. | Series: Routledge research in: Routledge, 2019. http://dx.doi.org/10.4324/9781351108119-7.
Full textIsaacs, I. "Transfer." In Graduate Studies in Mathematics, 147–75. Providence, Rhode Island: American Mathematical Society, 2008. http://dx.doi.org/10.1090/gsm/092/05.
Full textConference papers on the topic "Transfer"
Arifuzzaman, Md, and Engin Arslan. "Learning Transfers via Transfer Learning." In 2021 IEEE Workshop on Innovating the Network for Data-Intensive Science (INDIS). IEEE, 2021. http://dx.doi.org/10.1109/indis54524.2021.00009.
Full textLiu, Tongliang, Qiang Yang, and Dacheng Tao. "Understanding How Feature Structure Transfers in Transfer Learning." In Twenty-Sixth International Joint Conference on Artificial Intelligence. California: International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/329.
Full textYang, Xueyuan, Zhenlin An, Xiaopeng Zhao, and Lei Yang. "Transfer Beamforming via Beamforming for Transfer." In IEEE INFOCOM 2023 - IEEE Conference on Computer Communications. IEEE, 2023. http://dx.doi.org/10.1109/infocom53939.2023.10229106.
Full textSarkar, Tapan Kumar, Erik P. Caspers, Magdalena Salazar Palma, and Miguel Angel Lagunas. "Wireless power transfer versus wireless information transfer." In 2012 IEEE/MTT-S International Microwave Symposium - MTT 2012. IEEE, 2012. http://dx.doi.org/10.1109/mwsym.2012.6259457.
Full textTan, Ben, Etheng Zhong, Michael K. Ng, and Qiang Yang. "Mixed-Transfer: Transfer Learning over Mixed Graphs." In Proceedings of the 2014 SIAM International Conference on Data Mining. Philadelphia, PA: Society for Industrial and Applied Mathematics, 2014. http://dx.doi.org/10.1137/1.9781611973440.24.
Full textFussell, Jesse W. "Technology transfer." In the workshop. Morristown, NJ, USA: Association for Computational Linguistics, 1993. http://dx.doi.org/10.3115/1075671.1075738.
Full textTaylor, Sarah M. "Technology transfer." In a workshop. Morristown, NJ, USA: Association for Computational Linguistics, 1996. http://dx.doi.org/10.3115/1119018.1119023.
Full textDann, Wanda, Dennis Cosgrove, Don Slater, Dave Culyba, and Steve Cooper. "Mediated transfer." In the 43rd ACM technical symposium. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2157136.2157180.
Full textLarsson, Magnus, Anders Wall, Christer Norström, and Ivica Crnkovic. "Technology transfer." In the 2006 international workshop. New York, New York, USA: ACM Press, 2006. http://dx.doi.org/10.1145/1138046.1138055.
Full textNakatsuka, H. "Technology Transfer." In International Symposium on Semiconductor Manufacturing. IEEE, 1993. http://dx.doi.org/10.1109/issm.1993.670297.
Full textReports on the topic "Transfer"
Ter-Minassian, Teresa, and Andrés Muñoz Miranda. Options for a Reform of the Mexican Intergovernmental Transfer System in Light of International Experiences. Inter-American Development Bank, April 2022. http://dx.doi.org/10.18235/0004217.
Full textMacKay, W. Beam Transfer. Office of Scientific and Technical Information (OSTI), October 1994. http://dx.doi.org/10.2172/1119435.
Full textUsov, Igor. Transfer Chamber. Office of Scientific and Technical Information (OSTI), March 2024. http://dx.doi.org/10.2172/2324915.
Full textAtwood, J. D. Group transfer and electron transfer reactions of organometallic complexes. Office of Scientific and Technical Information (OSTI), December 1994. http://dx.doi.org/10.2172/10105478.
Full textMelnikov, A., and K. Carlberg. Simple Mail Transfer Protocol Extension for Message Transfer Priorities. RFC Editor, August 2012. http://dx.doi.org/10.17487/rfc6710.
Full textStampini, Marco, Nadin Medellín, and Pablo Ibarrarán. Cash Transfers, Poverty, and Inequality in Latin America and the Caribbean. Inter-American Development Bank, October 2023. http://dx.doi.org/10.18235/0005235.
Full textGoldhill, Dr D., Dr L. Gemmell, Dr D. Lutman, Dr S. McDevitt, Dr M. Parris, Dr C. Waldmann, and Dr C. Dodds. Inter-hospital transfer. The Association of Anaesthetists of Great Britain and Ireland, February 2009. http://dx.doi.org/10.21466/g.asgit.2009.
Full textPostel, J., and J. Reynolds. File Transfer Protocol. RFC Editor, October 1985. http://dx.doi.org/10.17487/rfc0959.
Full textKline, Mitchell H. Capacitive Power Transfer. Fort Belvoir, VA: Defense Technical Information Center, December 2010. http://dx.doi.org/10.21236/ada538824.
Full textBoehm, R., Y. T. Chen, and A. K. Sathappan. Heat transfer studies. Office of Scientific and Technical Information (OSTI), October 1995. http://dx.doi.org/10.2172/135530.
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