Ethical and Legal Aspects of Computing : A Professional Perspective from Software Engineering / by O'Regan, Gerard, (Cornelius Gerard), author 402721, SpringerLink (Online service) 666

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Digital Marketing Technologies / by Aghazadeh, Hashem, author 655482, Khoshnevis, Mozhde, author 655483, SpringerLink (Online service) 666

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Generative artificial intelligence : exploring the power and potential of generative AI / by Solanki, Shivam R., author 654859, Khublani, Drupad K., author, SpringerLink (Online service)

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Corporate Crisis Recovery : Managing Organizational Deviance, Reputation, and Risk / by Gottschalk, Petter, 1950-, author 346858, Hamerton, Christopher, author 655481, SpringerLink (Online service) 666

“…In recent years, the wide-spanning consequences of some very public globalized corporate crises – including fiscal and environmental impact, staff retention, and organizational survival – have led to a growing body of research on crisis perception and responsive strategic management. …”
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Knowledge and Learning in Organizations : A Knowing-In-Practice Perspective of University Academic Managers / by Larentis, Fabiano author 655495, Antonello, Claudia Simone author 655496, SpringerLink (Online service) 666

“…Knowing-in-practice implies that knowledge is dynamic, constantly in flux, and intricately linked to the capability for action within the social context. …”
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The hierarchy of Davydov's Ansaetze and its applications by Zhao, Yang, Sun, Kewei, Chen, Lipeng, Gelin, Maxim

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Competitiveness Strategies for Negative Organizations : Challenging the Status Quo / by Graça, Beatriz, author 655479, Oliveira, Manuel Au-Yong, author 655480, SpringerLink (Online service) 666

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Immunoprofiling of drug-resistant epilepsy with a focus on glutamic acid decarboxylase 65 antibodies by McGinty, R

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Applications of medical artificial intelligence : second International Workshop, AMAI 2023, held in conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceeding... by International Workshop on Applications of Medical Artificial Intelligence (2nd : 2023 : Vancouver, B.C. ; Online), Wu, Shandong, editor, Shabestari, Behrouz, editor, Xing, Lei, editor, SpringerLink (Online service)

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The technological-industrial complex and education : navigating algorithms, datafication, and artificial intelligence in comparative and international education / by Curtis, Sydney Marie Simone, author 654828, Desimoni, Victoria, author 654829, Crumley-Effinger, Max, author 654830, Salajan Florin 654831, Jules, Tavis Deryck 654858, SpringerLink (Online service)

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16.07 Dynamics, Fall 2004 by Peraire, Jaume

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The MALINA oceanographic expedition : how do changes in ice cover, permafrost and UV radiation impact biodiversity and biogeochemical fluxes in the Arctic Ocean? by Massicotte, P., Amon, R. M. W., Antoine, D., Archambault, P., Balzano, S., Bélanger, S., Benner, R., Boeuf, D., Bricaud, A., Bruyant, F., Chaillou, G., Chami, M., Charrière, B., Chen, J., Claustre, H., Coupel, P., Delsaut, N., Doxaran, D., Ehn, J., Fichot, C., Forget, M. H., Fu, P., Gagnon, J., Garcia, N., Gasser, B., Ghiglione, J. F., Gorsky, G., Gosselin, M., Gourvil, P., Gratton, Y., Guillot, P., Heipieper, H. J., Heussner, S., Hooker, S. B., Huot, Y., Jeanthon, C., Jeffrey, W., Joux, F., Kawamura, K., Lansard, B., Leymarie, E., Link, H., Lovejoy, C., Marec, C., Marie, D., Martin, J., Martín, J., Massé, G., Matsuoka, A., McKague, V., Mignot, A., Miller, W. L., Miquel, J. C., Mucc,i A., Ono, K., Ortega-Retuerta, E., Panagiotopoulos, C., Papakyriakou, T., Picheral, M., Prieu,r L., Raimbault, P., Ras, J., Reynolds, R. A., Rochon, A., Rontani, J. F., Schmechtig, C., Schmidt, S., Sempéré, R., Shen, Y., Song, G., Stramski, D., Tachibana, E., Thirouard, A., Tolosa, I., Tremblay, J. E., Vaïtilingom, M., Vaulot, Daniel, Vaultier, F., Volkman, J. K., Xie, H., Zheng, G., Babin, M.

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Artificial neural networks solutions for solving differential equations: A focus and example for flow of viscoelastic fluid with microrotation by Abdullah, null, Faye, Ibrahima, Laila Amera, Aziz

“…Additionally, investigating new application domains like linked multi-physics issues or real-time simulation situations may help to increase the reach and significance of PINN approaches.…”
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Data-driven forward and inverse analysis of two-dimensional soil consolidation using physics-informed neural network by Wang, Yu, Shi, Chao, Shi, Jiangwei, Lu, Hu

“…Different random seeds are used to test the robustness of the PINN developed and quantify the associated model uncertainty. …”
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Artifacts for "Synthesis of Code-Reuse Attacks from p-code Programs" by DenHoed, M, Melham, TF

“…</li> </ul> <br> Subsequent development of the two software libraries in this artifact will occur here: <br> <ul> <li>jingle: https://github.com/toolCHAINZ/jingle</li> <li>crackers: https://github.com/toolCHAINZ/crackers</li> </ul>…”

Physics-informed neural network for fast prediction of temperature distributions in cancerous breasts as a potential efficient portable AI-based diagnostic tool by Mukhmetov, Olzhas, Zhao, Yong, Mashekova, Aigerim, Zarikas, Vasilios, Ng, Eddie Yin Kwee, Aidossov, Nurduman

“…This work presents the development of a novel Physics-Informed Neural Network (PINN) method for fast forward simulation of heat transfer through cancerous breast models. …”
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Population of Merging Compact Binaries Inferred Using Gravitational Waves through GWTC-3 by Sudhir, Vivishek

“…While the majority of spins are preferentially aligned with the orbital angular momentum, we infer evidence of antialigned spins among the binary population. …”
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Learning stock market dynamics using the kinetic ising model by Nguyen, Ai Linh

“…In this approach, the states in the time series data are represented by configurations of N spins, and the time evolution of these states in the time series data by an update rule that depends on the spin configuration {σ_i (t)}_(i=1,…,N), and the connection weights {W_ij }_(i,j=1,…N) between the spins. …”
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Physics-Informed Deep Learning for Plasma Etch Optimization by Dighamber, Mohit

“…Future work includes utilizing the PINN model in a Bayesian framework to facilitate recipe optimization for the desired etch profile.…”
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Domain wall dynamics in engineered multilayer magnetic nanostructures by Lin, Eddy Junxiang

“…This is attributed to the spins of the domain wall in Co60Fe20B20 aligning along the magnetic moment of the permalloy strip above it. …”
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