Academic literature on the topic 'Multi-step mechanism'
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Journal articles on the topic "Multi-step mechanism"
Hammerling, Gunter J., Gunther Schonrich, Iris Ferber, and Bernd Arnold. "Peripheral Tolerance as a Multi-Step Mechanism." Immunological Reviews 133, no. 1 (June 1993): 93–104. http://dx.doi.org/10.1111/j.1600-065x.1993.tb01511.x.
Full textXiong, Shaozhuan, and Yantian Bi. "A Novel Multi-Step Global Mechanism Scheme for n-Decane Combustion." Entropy 25, no. 10 (September 28, 2023): 1389. http://dx.doi.org/10.3390/e25101389.
Full textTsuchiya, Hikaru, Akinori Endo, and Yasushi Saeki. "Multi-Step Ubiquitin Decoding Mechanism for Proteasomal Degradation." Pharmaceuticals 13, no. 6 (June 23, 2020): 128. http://dx.doi.org/10.3390/ph13060128.
Full textRan, Cai, Xinfu Li, and Fang Yang. "Multi-Step Structure Image Inpainting Model with Attention Mechanism." Sensors 23, no. 4 (February 19, 2023): 2316. http://dx.doi.org/10.3390/s23042316.
Full textBellat, Vanessa, Rémi Chassagnon, Olivier Heintz, Lucien Saviot, David Vandroux, and Nadine Millot. "A multi-step mechanism and integrity of titanate nanoribbons." Dalton Transactions 44, no. 3 (2015): 1150–60. http://dx.doi.org/10.1039/c4dt02573c.
Full textJagielski, J., and L. Thomé. "Multi-step mechanism of damage accumulation in irradiated crystals." Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms 266, no. 8 (April 2008): 1212–15. http://dx.doi.org/10.1016/j.nimb.2007.12.097.
Full textHamdi, Mohamed, Hmaeid Benticha, and Mohamed Sassi. "Evaluation of reduced chemical kinetic mechanisms used for modeling mild combustion for natural gas." Thermal Science 13, no. 3 (2009): 131–37. http://dx.doi.org/10.2298/tsci0903131h.
Full textBresnick, Emery H., Hogune Im, Kirby D. Johnson, and Jeffrey A. Grass. "Dissecting a Multi-Step Mechanism of Beta-Globin Transcriptional Activation." Blood 104, no. 11 (November 16, 2004): 1207. http://dx.doi.org/10.1182/blood.v104.11.1207.1207.
Full textSun, Yihao, Qin Tan, Chao Yan, Yuan Chang, Xiaojia Xiang, and Han Zhou. "Multi-UAV Coverage through Two-Step Auction in Dynamic Environments." Drones 6, no. 6 (June 20, 2022): 153. http://dx.doi.org/10.3390/drones6060153.
Full textLi, Xianghui, Wei Zheng, and Yang Li. "An axiomatic and non-cooperative approach to the multi-step Shapley value." RAIRO - Operations Research 55, no. 3 (May 2021): 1541–57. http://dx.doi.org/10.1051/ro/2021073.
Full textDissertations / Theses on the topic "Multi-step mechanism"
Lin, Yuan. "Modeling of dielectrophoresis in micro and nano systems." Doctoral thesis, Stockholm : Mekanik, Mechanics, Kungliga Tekniska högskolan, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-4784.
Full textDinh, Duy Cuong. "Development of a Detailed Approach to Model the Solid Pyrolysis with the Coupling Between Solid and Gases Intra-Pores Phenomena." Electronic Thesis or Diss., Chasseneuil-du-Poitou, Ecole nationale supérieure de mécanique et d'aérotechnique, 2024. http://www.theses.fr/2024ESMA0029.
Full textPyrolysis of wood is a crucial process in fire safety science because it affects the thermal decomposition and combustion behavior of materials. Wood, a composite of biopolymeric components (cellulose, hemicellulose and lignin) undergoes complex pyrolysis to yield solid char, tar and gases as it thermally decomposes. The pyrolysis process also changes some important characteristics of the sample (density, thermal conductivity, heat capacity, porosity, permeability, emissivity...) that evolve throughout the reaction. Understanding these transformations is crucial for the correct modeling of fire behavior and material response under different thermal conditions. Different final normalized mass between TGA and cone calorimeter experiments challenge existing solid reaction rate models, according to experimental studies. Current models often assume a reaction order of 1, which oversimplifies the complexity of wood pyrolysis and leads to inaccuracies when the reaction order differs from 1. To overcome these shortcomings, a brand new conversion-based model, called ”Virtual Initial Mass”, is proposed. This model, based on TGA data, calculates the reaction rate for each reaction in complicated pyrolysis mechanisms. It supports mechanisms with numerous sequential and competitive reactions and has been implemented in C++. The C++ code for this model is integrated with the DAKOTA toolkit to perform multi objective genetic algorithm (MOGA) optimization of kinetic parameters for multiple heating rates. This ”Virtual Initial Mass” model is integrated in the Porous material Analysis Toolbox based on OpenFOAM (PATO) an Open Source tool distributed by NASA. Further mass transfer, heat transfer, species conservation models in addition to material properties are created within this new framework. A computational model for secondary reactions (gas-phase reactions that produce secondary char) is implemented in PATO. These secondary reactions solidify the sample and distribute heat back into the system. Simulations of cone calorimeter tests are performed in 1D and 2D axisymmetric models to explore the influence of anisotropic wood properties, particularly the orientation of wood fibers. Comparison of models with and without secondary reactions demonstrates their role in heat distribution and secondary char production and points out the experimentally observed difference in normalized mass between TGA and cone calorimeter tests. The model is verified by comparison with experimental results to show that it can simulate the complicated behavior of wood pyrolysis as well as emphasizes the importance of reaction pathways, secondary reactions, heat transfer, mass transfer and intra-pore interaction phenomena
Prakash, Arun. "Multi-time-step domain decomposition and coupling methods for non-linear structural dynamics /." 2007. 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:3290351.
Full textSource: Dissertation Abstracts International, Volume: 68-11, Section: B, page: 7516. Adviser: Keith D. Hjelmstad. Includes bibliographical references (leaves 174-182). Available on microfilm from Pro Quest Information and Learning.
(11192533), Kaleb M. Byers. "Platforms and Molecular Mechanisms for Improving Signal Transduction and Signal Enhancement in Multi-step Point-Of-Care Diagnostics." Thesis, 2021.
Find full textSwift recognition of disease-causing pathogens at the point-of-care enables life-saving treatment and infection control. However, current rapid diagnostic devices often fail to detect the low concentrations of pathogens present in the early stages of infection, causing delayed and even incorrect treatments. Rapid diagnostics that require multiple steps and/or elevated temperatures to perform have a number of barriers to use at the point-of-care and in the field, and despite efforts to simplify these platforms for ease of use, many still require diagnostic-specific training for the healthcare professionals who use them. Most nucleic acid amplification assays require hours to perform in a sterile laboratory setting that may be still more hours from a patient’s bedside or not at all feasible for transport in remote or low-resourced areas. The cold-chain storage of reagents, multistep sample preparation, and costly instrumentation required to analyze samples has prohibited many nucleic acid detection and antibody-based assays from reaching the point-of-care. There remains a critical need to bring rapid and accessible pathogen identification technologies that determine disease status and ensure effective treatment out of the laboratory.
Paper-based diagnostics have emerged as a portable platform for antigen and nucleic acid detection of pathogens but are often limited by their imperfect control of reagent incubation, multiple complex steps, and inconsistent false positive results. Here, I have developed mechanisms to economically improve thermal incubations, automate dried reagent flow for multistep assays, and specifically detect pathogenic antigens while improving final output sensitivity on paper-based devices. First, I characterize miniaturized inkjet printed joule-heaters (microheaters) that enable thermal control for pathogen lysis and nucleic acid amplification incubation on a low-cost paper-based device. Next, I explore 2-Dimensional Paper Networks as a means to automate multistep visual enhancement reactions with dried reagents to increase the sensitivity and readability of nucleic acid detection with paper-based devices. Lastly, I aim to create a novel Reverse-Transcription Recombinase Polymerase Reaction mechanism to amplify and detect a specific region of the Spike protein domain of SARS-CoV-2. This will allow the rapid detection of SARS-CoV-2 infections to aid in managing the current COVID-19 pandemic. In the future, these tools could be integrated into a rapid diagnostic test for SARS-CoV-2 and other pathogens, ultimately improving the accessibility and sensitivity of rapid diagnostics on multiple fronts.
Ghosh, Susanta. "Improved Numerical And Numeric-Analytic Schemes In Nonlinear Dynamics And Systems With Finite Rotations." Thesis, 2008. https://etd.iisc.ac.in/handle/2005/682.
Full textGhosh, Susanta. "Improved Numerical And Numeric-Analytic Schemes In Nonlinear Dynamics And Systems With Finite Rotations." Thesis, 2008. http://hdl.handle.net/2005/682.
Full textΜαραζιώτη, Παναγιώτα. "Ανάπτυξη πειραματικής και υπολογιστικής μεθόδου για την μελέτη αεροθερμοδυναμικού πεδίου και του εκπεμπόμενου θορύβου και ρυπών από συρρέουσες και ανακυκλοφορούσες τυρβώδεις φλόγες προπανίου." Thesis, 2006. http://nemertes.lis.upatras.gr/jspui/handle/10889/1439.
Full textIn the present work the calculation of two parameters, the radiated noise and pollutants are studied. The interaction between combustion, the aerothermodynamical field and the chemical reactions is studied. The equations, the methods and the models of turbulent combustion are described here and the advantages of the large eddy simulation model (LES) which has been chosen for this case, are marked. A multi-step chemistry mechanism is developed for two fuels of great interest: methane and propane. A simple chemical scheme for the oxidation of basic fuels which includes the formation of NOx and soot is suggested in the present work. After analyzing the role of combustion in the acoustics two types of noise are distinguished the turbulent combustion noise and the noise from combustion oscillation. The wave equation is presented and the definition of thermo acoustic term which is a function of the heat release q in flame and it appears as a source term in the basic equation. The flame is examined as an autonomous source as well as a noise amplifier. With the approach of large eddy simulation (LES) a methodology for the noise calculation is developed which noise is from the turbulent diffusion flame front. In the place of the suggested methodology the result was the development of a 3-D computational code. The turbulent aerothermodynamical flow field is computed by codes has been developed in the laboratory of technical thermodynamic and by the commercial code (fluent). The methodology, which has been developed in the present work, has been certificated through a series of original measurements of the emitted noise in coaxial, tangential and lifted flames in original experimentallayouts.
Book chapters on the topic "Multi-step mechanism"
Xiang, Yaoci, Chong Zhao, Xing Wei, Yang Lu, and Shaofan Liu. "Multi-step Domain Adaption Image Classification Network via Attention Mechanism and Multi-level Feature Alignment." In Wireless Algorithms, Systems, and Applications, 11–19. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-86137-7_2.
Full textWang, Zheng, Xinyu Qu, Yang Yin, and Houpu Li. "Research on Dynamic Path Planning Algorithm for Unmanned Underwater Vehicles Based on Multi-step Mechanism DDQN." In Communications in Computer and Information Science, 409–17. Singapore: Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-2275-4_32.
Full textButcher, Eugene C. "Leukocyte-Endothelial Cell Adhesion as an Active, Multi-Step Process: A Combinatorial Mechanism for Specificity and Diversity in Leukocyte Targeting." In Advances in Experimental Medicine and Biology, 181–94. Boston, MA: Springer US, 1992. http://dx.doi.org/10.1007/978-1-4615-3396-2_23.
Full textCalcagno, Anna Maria, and Suresh V. Ambudkar. "Molecular Mechanisms of Drug Resistance in Single-Step and Multi-Step Drug-Selected Cancer Cells." In Methods in Molecular Biology, 77–93. Totowa, NJ: Humana Press, 2009. http://dx.doi.org/10.1007/978-1-60761-416-6_5.
Full textLee, Jae Jong, Seung Woo Lee, Hyun Taek Cho, Gee Hong Kim, and Kee Bong Choi. "Single-Step UV Nanoimprinting Lithography with Multi-Head Imprinting System and Its Applications." In Experimental Mechanics in Nano and Biotechnology, 441–44. Stafa: Trans Tech Publications Ltd., 2006. http://dx.doi.org/10.4028/0-87849-415-4.441.
Full textWinter, Maximilian, and Christian Breitsamter. "Coupling of Recurrent and Static Neural Network Approaches for Improved Multi-step Ahead Time Series Prediction." In Notes on Numerical Fluid Mechanics and Multidisciplinary Design, 433–42. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-64519-3_39.
Full textFuruichi, N., T. Hachiga, K. Hishida, and M. Kumada. "A Flow Structure at Reattachment Region of a Two-Dimensional Backward-Facing Step by Using Advanced Multi-Point LDV." In Laser Techniques Applied to Fluid Mechanics, 143–56. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-642-56963-0_10.
Full textPotyka, Johanna, Johannes Kromer, Muyuan Liu, Kathrin Schulte, and Dieter Bothe. "Modelling and Numerical Simulation of Binary Droplet Collisions Under Extreme Conditions." In Fluid Mechanics and Its Applications, 127–47. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-09008-0_7.
Full textAtkins, Peter, George Ratcliffe, Mark Wormald, and Julio de Paula. "The rate laws of multi-step reactions." In Physical Chemistry for the Life Sciences. Oxford University Press, 2023. http://dx.doi.org/10.1093/hesc/9780198830108.003.0031.
Full textBindslev, Niels. "Multi-step reaction schemes. Extending the two-step mechanism of del Castillo and Katz." In Drug-Acceptor Interactions, 139–64. Co-Action Publishing, 2008. http://dx.doi.org/10.3402/bindslev.2008.9.
Full textConference papers on the topic "Multi-step mechanism"
Yi, Yawen, Zhewei Huang, Mingyang Bao, Xiaodan Li, and Suhua Lou. "Multi-step Short-term Load Forecasting Based on Attention Mechanism, TCN-BiLSTM Network and Decomposition-based Error Correction." In 2024 7th Asia Conference on Energy and Electrical Engineering (ACEEE), 224–31. IEEE, 2024. http://dx.doi.org/10.1109/aceee62329.2024.10651918.
Full textZhang, Yu, Zhiheng Zhao, Jingyu Zhou, Zhefan Zhang, and Hairui Zhou. "State of Charge Prediction Algorithm of Lithium Battery Based on Multi-Step Time Window and Time Attention Mechanism of Long Short Term Memory Network." In 2024 4th International Conference on Energy Engineering and Power Systems (EEPS), 866–70. IEEE, 2024. https://doi.org/10.1109/eeps63402.2024.10804470.
Full textLi, Mingxin, Shanzhi Chen, and Dongliang Xie. "A multi-step vertical handoff mechanism for cellular multi-hop networks." In the 2nd ACM workshop. New York, New York, USA: ACM Press, 2007. http://dx.doi.org/10.1145/1298275.1298301.
Full textYe, Dong, Junqiang Xu, and Zengliang Liu. "Research on multi-step synchronous advancing mechanism of training simulation system." In 2012 International Conference on Computer Science and Information Processing (CSIP). IEEE, 2012. http://dx.doi.org/10.1109/csip.2012.6309098.
Full textRen, Bixing, Yongyong Jia, Dajiang Wang, Qiang Li, and Yingjie Hu. "Multi-step wind power prediction scheme based on Patch attention mechanism." In 2024 7th International Conference on Energy, Electrical and Power Engineering (CEEPE). IEEE, 2024. http://dx.doi.org/10.1109/ceepe62022.2024.10586577.
Full textZhou, Yirong, Hao Chen, Jun Li, Ye Wu, Jiangjiang Wu, and Luo Chen. "ST-Attn: Spatial-Temporal Attention Mechanism for Multi-step Citywide Crowd Flow Prediction." In 2019 International Conference on Data Mining Workshops (ICDMW). IEEE, 2019. http://dx.doi.org/10.1109/icdmw.2019.00092.
Full textLiu, Tiecheng, Baobin Zhao, and Aidong Zhan. "Load Restoration Multi-Objective Optimization Strategy Based on Time Step Dynamic Contraction Mechanism." In 2022 4th International Conference on Power and Energy Technology (ICPET). IEEE, 2022. http://dx.doi.org/10.1109/icpet55165.2022.9918249.
Full textJin, Yong, Kenji Fujikawa, Hiroaki Harai, and Masataka Ohta. "Design and Implementation of Secure Prefetch Mechanism for Multi-step Name Resolution in DNS." In 2016 IEEE 40th Annual Computer Software and Applications Conference (COMPSAC). IEEE, 2016. http://dx.doi.org/10.1109/compsac.2016.10.
Full textShang-Jeng Tsai, Tsung-Ying Sun, and Shih-Hsiang Ting. "Intelligent automatic manoeuvring mechanism for computer generated forces using predictive multi-step fuzzy inference system." In 2007 IEEE International Conference on Systems, Man and Cybernetics. IEEE, 2007. http://dx.doi.org/10.1109/icsmc.2007.4413911.
Full textXie, Hui, and PengYu Liang. "Improved TF-LSTM Multi-Step Vehicle Speed Prediction Model Based on LSTM and Attention Mechanism." In 2023 3rd International Conference on Robotics, Automation and Intelligent Control (ICRAIC). IEEE, 2023. http://dx.doi.org/10.1109/icraic61978.2023.00082.
Full textReports on the topic "Multi-step mechanism"
Frey, Scott H. Cortical Mechanisms of Multi-step Action Planning. Fort Belvoir, VA: Defense Technical Information Center, December 2010. http://dx.doi.org/10.21236/ada545175.
Full textPhilosoph-Hadas, Sonia, Peter B. Kaufman, Shimon Meir, and Abraham H. Halevy. Inhibition of the Gravitropic Shoot Bending in Stored Cut Flowers Through Control of Their Graviperception: Involvement of the Cytoskeleton and Cytosolic Calcium. United States Department of Agriculture, December 2005. http://dx.doi.org/10.32747/2005.7586533.bard.
Full textHertel, Thomas, and Jeff Reimer. Estimating the Poverty Impacts of Trade Liberalization. GTAP Working Paper, January 2003. http://dx.doi.org/10.21642/gtap.wp20.
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