Results 71 to 80 of about 5,593,327 (347)

Privacy-Preserving Convex Optimization: When Differential Privacy Meets Stochastic Programming [PDF]

arXiv, 2022
Convex optimization finds many real-life applications, where--optimized on real data--optimization results may expose private data attributes (e.g., individual health records, commercial information), thus leading to privacy breaches. To avoid these breaches and formally guarantee privacy to optimization data owners, we develop a new privacy-preserving
arxiv  

Social context prevents heat hormetic effects against mutagens during fish development

FEBS Letters, EarlyView.
This study shows that sublethal heat stress protects fish embryos against ultraviolet radiation, a concept known as ‘hormesis’. However, chemical stress transmission between fish embryos negates this protective effect. By providing evidence for the mechanistic molecular basis of heat stress hormesis and interindividual stress communication, this study ...
Lauric Feugere, Claudio Silva De Freitas, Adam Bates, Kenneth B. Storey, Pedro Beltran‐Alvarez, Katharina C. Wollenberg Valero   +5 more
wiley   +1 more source

Maximal sparse convex surrogate-assisted evolutionary convolutional neural architecture search for image segmentation

Complex & Intelligent Systems, 2023
Designing reasonable architectures of convolutional neural network (CNN) for specific image segmentation remains a challenging task, as the determination of the structure and hyperparameters of CNN depends heavily on expertise and requires a great deal ...
Wei Wang, Xianpeng Wang, Xiangman Song
doaj   +1 more source

Autophagy in cancer and protein conformational disorders

FEBS Letters, EarlyView.
Autophagy plays a crucial role in numerous biological processes, including protein and organelle quality control, development, immunity, and metabolism. Hence, dysregulation or mutations in autophagy‐related genes have been implicated in a wide range of human diseases.
Sergio Attanasio
wiley   +1 more source

Use of Plackett–Burman Statistical Design to Study Factors Acting on the Nitric Acid Leaching of Rare Earth Elements from Moroccan Phosphogypsum

Journal of Chemistry
This work is an attempt to understand and optimize the rare earth elements leaching from Moroccan phosphogypsum using a nitric acid solution. The Plackett–Burman statistical design was used to identify the statistically significant factors responsible ...
Fatima Asafar, Marouane Amine, Abdelkader Outzourhit, Latifa Bilali, Mehdi Nadifiyine   +4 more
doaj   +1 more source

CO₂ Footprint and Nodal Marginal Emission up to Distribution End Users for Energy Mix

IEEE Access
To achieve the clean energy target set by various countries and states for 2030, it is crucial to assess Carbon Emission Flow (CEF) accurately across the entire energy supply chain.
Ahmed Y. Saber, Md Ashraful Alam, Tanuj Khandelwal   +2 more
doaj   +1 more source

Continuous extremal optimization for Lennard-Jones Clusters

, 2004
In this paper, we explore a general-purpose heuristic algorithm for finding high-quality solutions to continuous optimization problems. The method, called continuous extremal optimization(CEO), can be considered as an extension of extremal optimization ...
Bing-Hong Wang, D. E. Goldberg, E. H. L. Aarts, J. Holland, L. T. Wille, Long-Jiu Cheng, M. R. Garey, S. Boettcher, S. Boettcher, Tao Zhou, W. Banzhaf, Wen-Jie Bai   +11 more
core   +1 more source

A stepwise emergence of evolution in the RNA world

FEBS Letters, EarlyView.
How did biological evolution emerge from chemical reactions? This perspective proposes a gradual scenario of self‐organization among RNA molecules, where catalytic feedback on random mixtures plays the central role. Short oligomers cross‐ligate, and self‐assembly enables heritable variations. An event of template‐externalization marks the transition to
Philippe Nghe
wiley   +1 more source

Equating κ Maximum Degrees in Graphs without Short Cycles

Discussiones Mathematicae Graph Theory, 2020
For an integer k at least 2, and a graph G, let fk(G) be the minimum cardinality of a set X of vertices of G such that G − X has either k vertices of maximum degree or order less than k.
Fürst Maximilian, Gentner Michael, Jäger Simon, Rautenbach Dieter, Henning Michael A.   +4 more
doaj   +1 more source

Complexity of near-optimal robust versions of multilevel optimization problems [PDF]

, 2020
Near-optimality robustness extends multilevel optimization with a limited deviation of a lower level from its optimal solution, anticipated by higher levels. We analyze the complexity of near-optimal robust multilevel problems, where near-optimal robustness is modelled through additional adversarial decision-makers.
arxiv   +1 more source