Letteratura scientifica selezionata sul tema "DMSL method"
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Articoli di riviste sul tema "DMSL method":
Walczak, Mariusz, Aleksander Świetlicki, Mirosław Szala, Marcin Turek e Dariusz Chocyk. "Shot Peening Effect on Sliding Wear in 0.9% NaCl of Additively Manufactured 17-4PH Steel". Materials 17, n. 6 (18 marzo 2024): 1383. http://dx.doi.org/10.3390/ma17061383.
Kinsey, Joanna D., e David J. Kieber. "Microwave preservation method for DMSP, DMSO, and acrylate in unfiltered seawater and phytoplankton culture samples". Limnology and Oceanography: Methods 14, n. 3 (12 gennaio 2016): 196–209. http://dx.doi.org/10.1002/lom3.10081.
Zhang, Xizhen, Aiwu Zhang, Yuan Sun, Juan Wang, Haiyang Pang, Jinbang Peng, Yunsheng Chen et al. "Deep Multi-Order Spatial–Spectral Residual Feature Extractor for Weak Information Mining in Remote Sensing Imagery". Remote Sensing 16, n. 11 (29 maggio 2024): 1957. http://dx.doi.org/10.3390/rs16111957.
Kong, Yingying, e Si Liu. "DMSC-GAN: A c-GAN-Based Framework for Super-Resolution Reconstruction of SAR Images". Remote Sensing 16, n. 1 (21 dicembre 2023): 50. http://dx.doi.org/10.3390/rs16010050.
Dong, Lihu, Yue Zhang, Zhuo Zhang, Longfei Xie e Fengri Li. "Comparison of Tree Biomass Modeling Approaches for Larch (Larix olgensis Henry) Trees in Northeast China". Forests 11, n. 2 (11 febbraio 2020): 202. http://dx.doi.org/10.3390/f11020202.
Mishra, Pawan Kumar, e Adam Ekielski. "A Simple Method to Synthesize Lignin Nanoparticles". Colloids and Interfaces 3, n. 2 (10 giugno 2019): 52. http://dx.doi.org/10.3390/colloids3020052.
Griebler, Christian, e Doris Slezak. "Microbial Activity in Aquatic Environments Measured by Dimethyl Sulfoxide Reduction and Intercomparison with Commonly Used Methods". Applied and Environmental Microbiology 67, n. 1 (1 gennaio 2001): 100–109. http://dx.doi.org/10.1128/aem.67.1.100-109.2001.
Ren, Shengbing, Wangbo Shen, Chaudry Siddique e You Li. "Self-Adaptive Deep Multiple Kernel Learning Based on Rademacher Complexity". Symmetry 11, n. 3 (5 marzo 2019): 325. http://dx.doi.org/10.3390/sym11030325.
Tang, Jingjing, e Xilong Qiu. "Preparation of Dendritic Mesoporous Silica Nanomaterials Loaded with Toosendanin-Fumaracetin and its Anti-Peripheral Pain Study". Highlights in Science, Engineering and Technology 21 (4 dicembre 2022): 281–85. http://dx.doi.org/10.54097/hset.v21i.3172.
Page, Cheryl, e Jessica Rebeiro. "Évaluation de l’efficacité d’un programme de formation sur l’administration par bolus intraveineux de cellules souches hématopoïétiques cryoconservées". Canadian Oncology Nursing Journal 33, n. 2 (28 aprile 2023): 207–14. http://dx.doi.org/10.5737/23688076332207.
Tesi sul tema "DMSL method":
Stańczak, Magda. "Behaviour of additively manufactured metallic structures under blast loading". Electronic Thesis or Diss., Université de Lorraine, 2022. http://www.theses.fr/2022LORR0073.
The additive manufacturing technique allows for studies of metallic structures with complex geometry at a laboratory scale. The application of novel structures can be especially beneficial for improving the capacity of energy absorption and blast mitigation. In the presented thesis, the role of the topology of additively manufactured AlSi10Mg aluminum structures of several exemplary cellular structures (i.e., honeycomb, auxetic, lattice, and foam) is studied at static and blast compression. Furthermore, the relationship between the relative density and the deformationresponses of the structures, as well as the energy absorption capacities is analyzed. To investigate the influence of the manufacturing process conditions on the mechanical properties, the material behavior of the printed AlSi10Mg aluminum alloy is studied. For completeness, an analysis of the deformed microstructure is also conducted. The obtained results prove the complexity of the material behavior. Therefore, a phenomenological model based on the modified Johnson-Cook approach is proposed. The developed model describes the obtained characteristics of the printed alloy with much better accuracy than the classical constitutive function. The finite element simulations conducted in LS-DYNA software are used to investigate the deformation mechanisms of the structures in detail. The results are consistent with the analytical calculations and the experimental observations. The final responses indicate that by selecting the appropriate topological parameters, it is possible to affect the performance of structures significantly and thus to improve their energy absorption properties. The resulting experiments and their modeling show that the discussed material and the manufacturing technology have a promising potential
Kreschel, Martin. "Experimentelle und numerische Untersuchungen an Dehnungsmessstreifen (DMS) mit übereinanderliegenden Messgittern". [S.l. : s.n.], 2002. http://www.bsz-bw.de/cgi-bin/xvms.cgi?SWB10447108.
Kreschel, Martin. "Experimentelle und numerische Untersuchungen an Dehnungsmessstreifen (DMS) mit übereinanderliegenden Messgittern". Thesis, Universitätsbibliothek Chemnitz, 2002. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-200201252.
Ambrosio, Sophie d'. "Les intéractions d'échange dans le semi-conducteur magnétique dilué ZnO.Co". Thesis, Aix-Marseille, 2013. http://www.theses.fr/2013AIXM4304/document.
The work performed on ZnO:Co enables a better understanding of exchange constants. The question of the spin-spin interactions in the Diluted Magnetic Semiconducteur (DMS) is studied from both theoretical and experimental approaches. On the théoretical side, a exchange constants for all the II-VI series doped Mn et CO. On the experimental side, the use of three techniques, Inelastic Neutron Scattering (INS), Electron Paramagnetic Resonance (EPR), and the Magnetization Steps (MST) method, has made it possible to establish, for the first time, the ten largest exchange constants in ZnO:Co.The INS experiments show, in direct way, astrong spatial anisotropy of the nearest enighbor exchange integral J(1)=-25.6 K and J(2)=-8.5 K. This result can be explained, in part, by the presence, in the wurtzite structure, of a looped exchange path which involves two distinct anions and is ferromagnetic. To justify this explanation, our model was expanded to cover the entire II-VI series doped Mn and Co. The concurrent results, for the complete series, between the known experimental data and the theoretical exchange values permit the justification and the validation of our hypotheses.The measures performed by EPR and MST enable, for their part, the establisment of the distant neighbor exchange constants. the two techniques give complementary information, and make it possible to directly observe the exchange constants of ZnO:Co going from the third to the tenth largest value, J(3)=-1.07 K ,J(4)=-0.38 K , J(5)=+0.35 K , J(6)=+0.17 K , J(7)=-0.13 K , J(8)=-0.04 K , J(9)=-0.03 K , |J(10)|=0.01 K
Madsen, Sabine. "Emerging methods : an interpretive study of ISD methods in practice /". København, 2004. http://www.gbv.de/dms/zbw/476259614.pdf.
Becker, Ralf. "Consumption equivalent public capital method and a three generations model /". Marburg : Metropolis-Verl, 2002. http://www.gbv.de/dms/zbw/35493113X.pdf.
Wøhlk, Olsen Lina. "Essays on Georg Rasch and his contributions to statistics /". Copenhagen, 2003. http://www.gbv.de/dms/zbw/367192314.pdf.
Johannemann, Ulf. "Entwicklung und Stand der unitary taxation method /". Münster : Lit, 1998. http://www.gbv.de/dms/spk/sbb/recht/toc/278101658.pdf.
Seel, Christian. "Visuelle Simulation von Dienstleistungsprozessen : [Methode und Werkzeugunterstützung] /". Lohmar ; Köln : Eul, 2002. http://www.gbv.de/dms/zbw/353405949.pdf.
Barthel, Tom. "Eine Methode zur Spezifikationserfassung heterogener Systeme /". Düsseldorf : VDI-Verl, 1999. http://www.gbv.de/dms/bs/toc/304348678.pdf.
Libri sul tema "DMSL method":
Corradini, Fabio. Development of a HPLC method for analysis of DMSP, glycinebetaine and proline in plants. Dublin: University College Dublin, 1996.
Wolfe, Gordon V. Accumulation of dissolved DMSP by marine bacteria and its degradation via bacterivory. [Washington, DC: National Aeronautics and Space Administration, 1996.
Siksimova, Marina, Ol'ga Begicheva e Svetlana Mozgot. Solfeggio and music theory: a practical course. ru: INFRA-M Academic Publishing LLC., 2023. http://dx.doi.org/10.12737/1971854.
Dittel, K. K. The Double Dynamic Martin Screw (DMS): Adjustable Implant System for Proximal and Distal Femur Fractures. Heidelberg: Steinkopff, 2008.
Lindenberger, Alexandra. DMSO, MSM, CDL Handbuch: Die 3 Effektivsten Alternativen Heilmittel Um Ihre Gesundheit Langfristig Zu Verbessern und Entzündungen Zu Heilen Inkl. Detaillierte Eigen-Therapie Methode. Independently Published, 2019.
Capitoli di libri sul tema "DMSL method":
Mayr, Martin. "Dehnungsmessstreifen-Methode (DMS-Methode)". In Technische Mechanik, 391–97. 9a ed. München: Carl Hanser Verlag GmbH & Co. KG, 2021. http://dx.doi.org/10.3139/9783446469525.054.
Mayr, Martin. "Dehnungsmessstreifen-Methode (DMS-Methode)". In Technische Mechanik, 391–97. München: Carl Hanser Verlag GmbH & Co. KG, 2015. http://dx.doi.org/10.3139/9783446446182.046.
Delley, B. "DMol Methodology and Applications". In Density Functional Methods in Chemistry, 101–7. New York, NY: Springer New York, 1991. http://dx.doi.org/10.1007/978-1-4612-3136-3_7.
Agner, T., e J. Serup. "DMSO Irritancy Assessed Using Noninvasive Methods". In Current Topics in Contact Dermatitis, 425–28. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-74299-6_86.
Sahoo, Ashok Kumar, Seshadev Sahoo e Virendra Patel. "Simulation of AlSi10Mg Powder for Temperature Profile by DMLS Method". In Lecture Notes in Mechanical Engineering, 681–88. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-9057-0_73.
Gupta, Paromita, e Silvia Rouskin. "In Vivo RNA Structure Probing with DMS-MaPseq". In Methods in Molecular Biology, 299–310. New York, NY: Springer US, 2021. http://dx.doi.org/10.1007/978-1-0716-1851-6_16.
Swarnakumari, V., e A. L. Theerthan. "Protein Stability Using Thermal Shift Assay (TSA): DMSO Tolerance". In Methods for Fragments Screening Using Surface Plasmon Resonance, 43–50. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-1536-8_6.
Andrade, José M., Ricardo F. dos Santos e Cecília M. Arraiano. "RNA Structure Analysis by Chemical Probing with DMS and CMCT". In Methods in Molecular Biology, 209–23. New York, NY: Springer US, 2019. http://dx.doi.org/10.1007/978-1-0716-0231-7_13.
Vera, Nicholas B., Michelle Clasquin, Stephen L. Coy e Paul Vouros. "The Use of DMS-MS for the Quantitative Analysis of Acylcarnitines". In Methods in Molecular Biology, 95–101. New York, NY: Springer US, 2019. http://dx.doi.org/10.1007/978-1-0716-0030-6_5.
Liu, Yitong. "Study Liver Cytochrome P450 3A4 Inhibition and Hepatotoxicity Using DMSO-Differentiated HuH-7 Cells". In Methods in Molecular Biology, 63–70. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4939-6346-1_7.
Atti di convegni sul tema "DMSL method":
Nomaguchi, Yutaka, Anders Askhøj, Kristian F. Madsen, Ryota Akai e Kikuo Fujita. "Design Method Selection Matrix for Facilitating Product Platform and Family Design". In ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/detc2012-70861.
Xu, Cai, Ziyu Guan, Wei Zhao, Yunfei Niu, Quan Wang e Zhiheng Wang. "Deep Multi-View Concept Learning". In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. California: International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/402.
Zhijian, Lyu, Jiang Shaohua, Liang Yigao e Gao Min. "GDGRU-DTA: Predicting Drug-Target Binding Affinity based on GNN and Double GRU". In 3rd International Conference on Data Mining and Machine Learning (DMML 2022). Academy and Industry Research Collaboration Center (AIRCC), 2022. http://dx.doi.org/10.5121/csit.2022.120703.
Huai, Mengdi, Hongfei Xue, Chenglin Miao, Liuyi Yao, Lu Su, Changyou Chen e Aidong Zhang. "Deep Metric Learning: The Generalization Analysis and an Adaptive Algorithm". In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. California: International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/352.
Reddy, P. Deepak, Chirag Rudresh e Adithya A S. "Multilingual Speech Recognition Methods using Deep Learning and Cosine Similarity". In 3rd International Conference on Data Mining and Machine Learning (DMML 2022). Academy and Industry Research Collaboration Center (AIRCC), 2022. http://dx.doi.org/10.5121/csit.2022.120702.
Jahan, Suchana, e Hazim El-Mounayri. "Game Theoretic Modelling Approach for Optimizing Direct Metal Laser Sintering Process Parameters Using Artificial Neural Network". In ASME 2020 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/imece2020-23504.
Yuan, Tao, Xinqi Zheng e Wei Zhou. "Calculation methods of territorial development intensity using DMSP/OLS data". In 2011 19th International Conference on Geoinformatics. IEEE, 2011. http://dx.doi.org/10.1109/geoinformatics.2011.5980751.
Zeng, Jie, Guoxian Yu, Jun Wang, Maozu Guo e Xiangliang Zhang. "DMIL-III: Isoform-isoform interaction prediction using deep multi-instance learning method". In 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2019. http://dx.doi.org/10.1109/bibm47256.2019.8982956.
Pavel, Radu, e Anil K. Srivastava. "Investigations for Safe Grinding of Ti-6Al-4V Parts Produced by Direct Metal Laser Sintering (DMLS) Technology". In ASME 2014 International Manufacturing Science and Engineering Conference collocated with the JSME 2014 International Conference on Materials and Processing and the 42nd North American Manufacturing Research Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/msec2014-4130.
Li, Haoyu, Ryan Yan e Ang Li. "An Intelligent Social-based Assistant Application for Study Time Management using Artificial Intelligence and Natural Language Processing". In 3rd International Conference on Data Mining and Machine Learning (DMML 2022). Academy and Industry Research Collaboration Center (AIRCC), 2022. http://dx.doi.org/10.5121/csit.2022.120714.
Rapporti di organizzazioni sul tema "DMSL method":
Dang, Nhan, Jennifer Gottfried e Frank De Lucia. The Electronic Excitation of 2,4,6-triamino-1,3,5-trinitrobenzene in DMSO Solution under Indirect Ultrafast Heating: A Comparison to Results Obtained by Optical Pumped Method. DEVCOM Army Research Laboratory, agosto 2023. http://dx.doi.org/10.21236/ad1210128.