Results 41 to 50 of about 946,507 (289)

Aligning Theories with Conflict Management in Higher Institutions of Learning: Averting Looming Crises to Ensure Success and Stability

International Journal of Higher Education, 2022
Higher institutions of learning (HIL) occasionally face conflict situations. These range from minor confrontations and demonstrations to violent strikes. The aim of this study was to align theories with conflict management in HIL to avert looming crises that might affect the core businesses of HIL. Given that conflicts are miscellaneous and disputable,
Yusuf Lukman, Sanjay Balkaran, Nonzwakazi Beauty Makiwane   +2 more
openaire   +2 more sources

Dammarenediol II enhances etoposide‐induced apoptosis by targeting O‐GlcNAc transferase and Akt/GSK3β/mTOR signaling in liver cancer

Molecular Oncology, EarlyView.
Etoposide induces DNA damage, activating p53‐dependent apoptosis via caspase‐3/7, which cleaves PARP1. Dammarenediol II enhances this apoptotic pathway by suppressing O‐GlcNAc transferase activity, further decreasing O‐GlcNAcylation. The reduction in O‐GlcNAc levels boosts p53‐driven apoptosis and influences the Akt/GSK3β/mTOR signaling pathway ...
Jaehoon Lee, Byung‐Cheol Han, Gi‐Bang Koo, Jihye Park, Mijin Kwon, Young Bin Park, Jae‐Mun Choi, Seung‐Ho Lee, Sangho Roh   +8 more
wiley   +1 more source

Sparse and spurious: dictionary learning with noise and outliers [PDF]

, 2015
A popular approach within the signal processing and machine learning communities consists in modelling signals as sparse linear combinations of atoms selected from a learned dictionary.
Bach, Francis, Gribonval, Rémi, Jenatton, Rodolphe   +2 more
core   +5 more sources

Genetic attenuation of ALDH1A1 increases metastatic potential and aggressiveness in colorectal cancer

Molecular Oncology, EarlyView.
Aldehyde dehydrogenase 1A1 (ALDH1A1) is a cancer stem cell marker in several malignancies. We established a novel epithelial cell line from rectal adenocarcinoma with unique overexpression of this enzyme. Genetic attenuation of ALDH1A1 led to increased invasive capacity and metastatic potential, the inhibition of proliferation activity, and ultimately ...
Martina Poturnajova, Zuzana Kozovska, Ondrej Pos, Kristina Pavlov, Sachin Gulati, Peter Makovicky, Kristina Jakic, Monika Burikova, Eva Sedlackova, Barbora Svitkova, Silvia Tyciakova, Vojtech Bystry, Nicolas Blavet, Boris Tichy, Matej Hrnciar, Jaroslav Budis, Miroslav Tomas, Peter Dubovan, Georgina Kolnikova, Veronika Repaska, Nikoleta Mojzesova, Eva Zomborska, Daniel Pindak, Michal Mego, Tomas Szemes, Miroslava Matuskova   +25 more
wiley   +1 more source

A 2D system approach to the design of a robust modified repetitive-control system with a dynamic output-feedback controller

International Journal of Applied Mathematics and Computer Science, 2014
This paper is concerned with the problem of designing a robust modified repetitive-control system with a dynamic output feedback controller for a class of strictly proper plants.
Zhou Lan, She Jinhua, Zhou Shaowu
doaj   +1 more source

A Brief Overview of Optimal Robust Control Strategies for a Benchmark Power System with Different Cyberphysical Attacks

Complexity, 2021
Security issue against different attacks is the core topic of cyberphysical systems (CPSs). In this paper, optimal control theory, reinforcement learning (RL), and neural networks (NNs) are integrated to provide a brief overview of optimal robust control
Bo Hu, Hao Wang, Yan Zhao, Hang Zhou, Mingkun Jiang, Mofan Wei   +5 more
doaj   +1 more source

Digital twins to accelerate target identification and drug development for immune‐mediated disorders

FEBS Open Bio, EarlyView.
Digital twins integrate patient‐derived molecular and clinical data into personalised computational models that simulate disease mechanisms. They enable rapid identification and validation of therapeutic targets, prediction of drug responses, and prioritisation of candidate interventions.
Anna Niarakis, Philippe Moingeon
wiley   +1 more source

Realizable Learning is All You Need [PDF]

TheoretiCS
The equivalence of realizable and agnostic learnability is a fundamental phenomenon in learning theory. With variants ranging from classical settings like PAC learning and regression to recent trends such as adversarially robust learning, it's surprising
Max Hopkins, Daniel M. Kane, Shachar Lovett, Gaurav Mahajan   +3 more
doaj   +1 more source

Distributed ARTMAP [PDF]

, 1999
Distributed coding at the hidden layer of a multi-layer perceptron (MLP) endows the network with memory compression and noise tolerance capabilities. However, an MLP typically requires slow off-line learning to avoid catastrophic forgetting in an open ...
Carpenter, Gail A., Milenova, Boriana L.
core   +1 more source

Low Complexity Regularization of Linear Inverse Problems [PDF]

, 2014
Inverse problems and regularization theory is a central theme in contemporary signal processing, where the goal is to reconstruct an unknown signal from partial indirect, and possibly noisy, measurements of it.
A Girard, A. Barron, A. Beck, A. Beck, A. Chambolle, A. Chambolle, A. Daniilidis, A. Montanari, A.N. Tikhonov, A.N. Tikhonov, A.S. Bandeira, A.S. Lewis, A.S. Lewis, A.S. Lewis, A.S. Lewis, B. Efron, B. Efron, B. Recht, B.A. Turlach, B.C. Vũ, B.D. Rao, B.F. Svaiter, B.K. Natarajan, B.S. Mordukhovich, C. Chaux, C. Deledalle, C. Dossal, C. Dossal, C. Lemaréchal, C. Vonesch, C.-A. Deledalle, C.-A. Deledalle, C.L. Mallows, C.M. Stein, D. Gabay, D. Gabay, D. Gross, D. Needell, D. Ville Van De, D. Ville Van De, D.A. Lorenz, D.A. Spielman, D.L. Donoho, D.L. Donoho, D.L. Donoho, D.L. Donoho, E. Grave, E. Hale, E. Harchaoui, E. J. Candès, E. Richard, E.J. Candès, E.J. Candès, E.J. Candès, E.J. Candès, E.J. Candès, E.J. Candès, E.J. Candès, E.J. Candès, E.J. Candès, E.J. Candès, E.J. Candès, E.J. Candès, E.J. Candès, E.J. Candès, E.J. Candès, F. Bach, F. Bach, F. Luisier, F. Santosa, G. Chen, G. Davis, G. Obozinski, G. Peyré, G. Steidl, G.B. Passty, G.H. Golub, H. Akaike, H. Jégou, H. Jégou, H. Raguet, H. Zou, H.H. Bauschke, H.H. Bauschke, H.L. Taylor, H.M. Hudson, I. Daubechies, J. Allen, J. Bolte, J. Chen, J. Douglas, J. Eckstein, J. Eckstein, J. Eckstein, J. Mairal, J. Tropp, J. Ye, J.-B. Hiriart-Urruty, J.-C. Pesquet, J.-F. Aujol, J.-J. Fuchs, J.-J. Fuchs, J.-L. Starck, J.-L. Starck, J.A. Tropp, J.C. Dunn, J.E. Vogt, J.F. Claerbout, J.M. Lee, K. Bredies, K. Bredies, K. Bredies, K. Kato, K. Knight, K.-C. Li, L. Birgé, L. Birgé, L. Borup, L. Condat, L.I. Rudin, L.M. Briceño Arias, M Coste, M. Elad, M. Elad, M. Fazel, M. Fortin, M. Frank, M. Golbabaee, M. Grasmair, M. Jaggi, M. Meyer, M. Rudelson, M. Yuan, M.J. Wainwright, M.R. Osborne, M.V. Solodov, N. Parikh, O. Scherzer, P. Hall, P. Hall, P. Tseng, P. Zhao, P. Zhao, P.L. Combettes, P.L. Combettes, P.L. Combettes, P.L. Lions, R. Ciak, R. Giryes, R. Glowinski, R. Gribonval, R. Gribonval, R. Gribonval, R. Gribonval, R. Jenatton, R. Jenatton, R. Refregier, R. Tibshirani, R. Tibshirani, R.J. Tibshirani, R.J. Tibshirani, R.L. Dykstra, R.T. Rockafellar, S. Nam, S. Negahban, S. Ramani, S. Ramani, S. Shalev-Shwartz, S. Vaiter, S. Vaiter, S.F. Cotter, S.G. Lingala, S.G. Mallat, S.G. Mallat, S.G. Mallat, S.J. Wright, S.N. Negahban, S.P. Boyd, S.S. Chen, T. Blu, T. Blumensath, T. Strohmer, T.T. Cai, T.T. Cai, T.T. Cai, V. Chandrasekaran, V. Duval, V. Solo, W.L. Hare, X. Shen, Y. Castro de, Y. Censor, Y. Chen, Y. Lyubarskii, Y. Nesterov, Y. Nesterov, Y.C. Eldar, Y.C. Pati   +197 more
core   +4 more sources