Results 51 to 60 of about 86,954 (260)

Random time-series model identification from binary-valued observations and quantized measurements [PDF]

open access: yesArchives of Control Sciences
In the paper, two algorithms that allow identification of a parametric models of random time-series from binary-valued observations of their realizations, as well as from quantized measurements of their values, are proposed.
Jarosław Figwer
doaj   +1 more source

The comparison of three risk assessment models based on cadmium exposure level in rice

open access: yesZhongguo shipin weisheng zazhi, 2022
ObjectiveThe advantages and disadvantages of three statistical models commonly used in food contaminant exposure assessment, namely the observed individual means (OIM) model, the beta-abinomial and normal (BBN) model and the non-parametric model were ...
LIU Jialin   +3 more
doaj   +1 more source

Minimax Parametric Optimization Problems and Multidimensional Parametric Searching

open access: yesInterdisciplinary Information Sciences, 2001
Summary: The parametric minimax problem, which finds the parameter value minimizing the weight of a solution of a combinatorial maximization problem, is a fundamental problem in sensitivity analysis. Moreover, several problems in computational geometry can be formulated as parametric minimax problems.
openaire   +3 more sources

Organoids in pediatric cancer research

open access: yesFEBS Letters, EarlyView.
Organoid technology has revolutionized cancer research, yet its application in pediatric oncology remains limited. Recent advances have enabled the development of pediatric tumor organoids, offering new insights into disease biology, treatment response, and interactions with the tumor microenvironment.
Carla Ríos Arceo, Jarno Drost
wiley   +1 more source

Smooth Sigmoid Surrogate (SSS): An Alternative to Greedy Search in Decision Trees

open access: yesMathematics
Greedy search (GS) or exhaustive search plays a crucial role in decision trees and their various extensions. We introduce an alternative splitting method called smooth sigmoid surrogate (SSS) in which the indicator threshold function used in GS is ...
Xiaogang Su   +7 more
doaj   +1 more source

Tau acetylation at K331 has limited impact on tau pathology in vivo

open access: yesFEBS Letters, EarlyView.
We mapped tau post‐translational modifications in humanized MAPT knock‐in mice and in amyloid‐bearing double knock‐in mice. Acetylation within the repeat domain, particularly around K331, showed modest increases under amyloid pathology. To test functional relevance, we generated MAPTK331Q knock‐in mice.
Shoko Hashimoto   +3 more
wiley   +1 more source

Cell geometry and membrane protein crowding constrain Escherichia coli growth rate, overflow metabolism, respiration, and maintenance energy

open access: yesFEBS Letters, EarlyView.
The physical dimensions and shape of bacterial cells define the surface area available to acquire nutrients and the volume available for synthesizing proteins and DNA. Here, we use computational systems biology to decode the importance of cell geometry as a major determinant of prokaryotic phenotype, including growth rate and metabolic efficiency. This
Ross P. Carlson   +6 more
wiley   +1 more source

Mathematical model for the parametric study of ammonia propulsion system in microsatellite platform by random search method [PDF]

open access: yesОмский научный вестник: Серия "Авиационно-ракетное и энергетическое машиностроение", 2018
A large number of basic design parameters of the ammonia propulsion system makes the task of their search by the method of random search urgent.
V. N. Blinov   +2 more
doaj   +1 more source

FSSSA: A Fuzzy Squirrel Search Algorithm Based on Wide-Area Search for Numerical and Engineering Optimization Problems

open access: yesMathematics, 2023
The Squirrel Search Algorithm (SSA) is widely used due to its simple structure and efficient search ability. However, SSA exhibits relatively slow convergence speed and imbalanced exploration and exploitation.
Lei Chen, Bingjie Zhao, Yunpeng Ma
doaj   +1 more source

Enriching Non-Parametric Bidirectional Search Algorithms

open access: yesProceedings of the AAAI Conference on Artificial Intelligence, 2019
NBS is a non-parametric bidirectional search algorithm proven to expand at most twice the number of node expansions required to verify the optimality of a solution. We introduce new variants of NBS that are aimed at finding all optimal solutions. We then introduce an algorithmic framework that includes NBS as a special case. Finally, we introduce DVCBS,
Shahaf S. Shperberg   +4 more
openaire   +2 more sources

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