Results 81 to 90 of about 2,913,313 (303)
Encapsulins are protein nanocompartments that play an important role in iron storage. In the Myxococcus xanthus encapsulin system, two cargo proteins called EncB and EncC contribute to iron mineralization. Here, we show that EncB and EncC generate iron‐containing minerals with distinct chemical compositions, suggesting that the composition of stored ...
Harry B. McDowell +2 more
wiley +1 more source
Approximation of Queues in Bike-Sharing Systems With Finite Docks
This paper presents a closed queuing network model to address bike queues in bike-sharing systems with finite docks. The model tackles issues of bike spillover and user attrition due to fully occupied docks and bike shortages at stations.
Xiang PENG, Jingyan WANG, Yong ZHANG
doaj +1 more source
Improved Combinatorial Approximations for Weighted Correlation Clustering [PDF]
We present combinatorial approximation algorithms for the weighted correlation clustering problem. In this problem, we have a set of vertices and two weight values for each pair of vertices, denoting their difference and similarity.
Mojtaba Ostovari, Alireza Zarei
doaj +1 more source
An L1 estimation algorithm with degeneracy and linear constraints [PDF]
An implementation of the reduced gradient algorithm is proposed to solve the linear L1 estimation problem (least absolute deviations regression) with linear equality or inequality constraints, including rank deficient and degenerate cases.
Shi, M., Lukas, M.A.
core
The role of miR‐335‐5p in the redifferentiation of BRAF p.V600E thyroid cancers
The BRAF p.V600E mutation promotes thyroid cancer dedifferentiation and radioiodine resistance. Using a network approach, we identified miR‐335‐5p as a key regulator of BRAF‐mutated thyroid tumors. Restoring miR‐335‐5p increased thyroid‐specific gene expression and iodine uptake in cells and organoids.
Valeria Pecce +11 more
wiley +1 more source
Fuzzy and tile coding approximation techniques for coevolution in reinforcement learning [PDF]
PhDThis thesis investigates reinforcement learning algorithms suitable for learning in large state space problems and coevolution. In order to learn in large state spaces, the state space must be collapsed to a computationally feasible size and then ...
Tokarchuk, Laurissa Nadia
core +4 more sources
Real number approximation by a rational number in the approximating k-ary algorithm
The best approximation by the irreducible fraction with the denominator not exceeding some specified value n was investigated. The aim of this study was to find the fastest approximation algorithm that enables to accelerate the convergence of the k-ary ...
R.R. Enikeev
doaj +1 more source
MITF maintains genome stability in nonmelanocyte lineages
MITF is essential for melanocyte survival and acts as an oncogene in 10%–20% of melanomas. We show that MITF depletion causes genome instability in nonmelanocytic cells, leading to LATS2‐mediated P53 activation, cell cycle arrest, and apoptosis. This study highlights the role of MITF as a genome maintenance factor beyond the melanocyte lineage. Created
Drifa H. Gudmundsdottir +13 more
wiley +1 more source
Upper and lower solution method for control of second-order Kolmogorov type systems
In this paper, an upper and lower solution method for the control of second-order Kolmogorov systems is introduced. Two iterative algorithms, one exact and one approximate, are proposed and their convergence is studied. The technique is based on Perov's
Alexandru Hofman
doaj +1 more source
Approximation for Batching via Priorities [PDF]
We consider here the one-machine serial batching problem under weighted average completion. This problem is known to be $cal Ncal P$-hard and no good approximation algorithms are known. Batching has wide application in manufacturing, decision management,
W. Bein, J. Noga, J. Wiegley
doaj

