Results 121 to 130 of about 12,161,396 (244)

Measuring Tax Efficiency: A Tax Optimality Index [PDF]

open access: yes
This paper introduces an index of tax optimality that measures the distance of a current tax structure from the optimal tax structure in the presence of public goods.
Pascalis Raimondos-Møller   +1 more
core  

Some optimality conditions in multiobjective programming

open access: yes, 1997
One of the aim of this paper is to introduce new classes of vector generalized concave functions and to point out their role in investigating local and global efficiency and in establishing sufficient optimality conditions for a vector optimization ...
CAMBINI, ALBERTO   +5 more
core   +1 more source

MagmaFlow: A desktop platform for artificial intelligence‐driven expression analysis

open access: yesFEBS Open Bio, EarlyView.
MagmaFlow is a free, no‐code platform for gene expression analysis. It generates interactive volcano plots, links genes to literature, pathways, and diseases, prioritizes candidates using millions of publications, identifies affected biological processes, builds network diagrams, and exports publication‐ready figures and reports for macOS and Windows ...
Carlos E. Buss   +7 more
wiley   +1 more source

Convergence of Peaceman-Rachford splitting method with Bregman distance for three-block nonconvex nonseparable optimization

open access: yesDemonstratio Mathematica
It is of strong theoretical significance and application prospects to explore three-block nonconvex optimization with nonseparable structure, which are often modeled for many problems in machine learning, statistics, and image and signal processing.
Zhao Ying, Lan Heng-you, Xu Hai-yang
doaj   +1 more source

A new flow chip in combination with multiphoton microscopy as a protocol for longitudinal 3D imaging of tissue calcification under shear stress

open access: yesFEBS Open Bio, EarlyView.
Miniaturized flow chip platform enabling continuous perfusion and longitudinal multiphoton 3D imaging of vascular smooth muscle cell constructs under physiological flow. Brightfield imaging guides region selection, while CellTracker Green and mRuby‐labeled fetuin‐A visualize cells and mineral deposition, respectively. Magnesium supplementation markedly
Vytautas Kučikas   +6 more
wiley   +1 more source

Ionomycin suppresses cancer cell growth by disrupting mitochondrial transcription

open access: yesFEBS Open Bio, EarlyView.
In this study, we identify a new function for the selective Ca2+ ionophore, ionomycin, as an inhibitor of mitochondrial transcription. Both total and nascent RNA analyses revealed that ionomycin treatment reduces the transcription of mitochondrial genes.
Lishen Wang   +10 more
wiley   +1 more source

Synergizing Metaheuristic Optimization and Model Predictive Control: A Comprehensive Review for Advanced Motor Drives

open access: yesEnergies
Model predictive control (MPC) is a prominent research focus in motor drives, offering advantages in dynamic response, steady-state accuracy, robustness, and multi-objective handling.
Qicuan Wang   +3 more
doaj   +1 more source

Necessary and Sufficient Conditions for Pareto Optimality in Infinite Horizon Cooperative Differential Games [PDF]

open access: yes
In this article we derive necessary and sufficient conditions for the existence of Pareto optimal solutions for infinite horizon cooperative differential games. We consider games defined by non autonomous and discounted autonomous systems.
Engwerda, J.C., Reddy, P.V.
core  

Optimizing photoexcitation conditions for time‐resolved X‐ray solution scattering experiments

open access: yesFEBS Open Bio, EarlyView.
Time‐resolved X‐ray solution scattering (TR‐XSS) is a powerful technique to visualize how proteins change their structure in real time after light activation. Selecting the right laser photoexcitation conditions—fluence, excitation geometry, and sample refresh rate—is critical to maximize the experimental signal while avoiding unwanted side effects ...
Matteo Levantino
wiley   +1 more source

Fixed-Time Distributed Optimization Without Matrix Inversion via Zeroing Neural Networks

open access: yesMathematics
This paper focuses on the fixed-time distributed optimization problem with time-varying cost functions in multi-agent systems (MASs). For the scenario where all agents share the same Hessian matrix, a control framework for minimizing the global cost ...
Xintian Liang, Luke Li, Qintao Gan
doaj   +1 more source

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