Results 61 to 70 of about 4,793 (299)
Molecular Oncology, EarlyView.Keratin 19 (KRT19) is overexpressed in high‐grade serous ovarian cancer with high levels of Kallikrein‐related peptidases (KLK) 4–7 and is associated with poor survival. In vivo analyses demonstrate that elevated KRT19 increases peritoneal tumour burden.
Sophia Bielesch +13 more
wiley +1 more source
A Peer-Reviewed Journal About, 2019 This paper proposes a reconsideration of the aesthetic category of ‘glitch’ and advocates for a more careful theorisation around indexing — in the sense of both locating and naming — errors of a digital kind.
Carleigh Morgan
doaj +1 more source
Probabilistic Analysis of Pattern Formation in Monotonic Self-Assembly. [PDF]
PLoS ONE, 2015 Inspired by biological systems, self-assembly aims to construct complex structures. It functions through piece-wise, local interactions among component parts and has the potential to produce novel materials and devices at the nanoscale.
Tyler G Moore +2 more
doaj +1 more source
A Monad for Randomized Algorithms
Electronic Notes in Theoretical Computer Science, 2016 AbstractIn this paper, we introduce a monad of random choice for domains that does not suffer from the main two drawbacks of the probabilistic powerdomain. It is not known whether any Cartesian closed category of domains is closed under the probabilistic powerdomain, but the Cartesian closed category BCD is closed under this monad of random choice ...
openaire +1 more source
Molecular Oncology, EarlyView.Pancreatic sensory neurons innervating healthy and PDAC tissue were retrogradely labeled and profiled by single‐cell RNA sequencing. Tumor‐associated innervation showed a dominant neurofilament‐positive subtype, altered mitochondrial gene signatures, and reduced non‐peptidergic neurons.
Elena Genova +14 more
wiley +1 more source
Schnorr randomness for noncomputable measures [PDF]
, 2017 Schnorr randomness is a randomness notion based on Brouwer's concept of a "constructive null set." Recently, Schnorr randomness has been closely associated with a number of theorems in computable analysis, including the Lebesgue differentiation theorem,
Rute, Jason
core
Algorithmic Randomness and Probabilistic Laws [PDF]
, 2023 We consider two ways one might use algorithmic randomness to characterize a probabilistic law. The first is a generative chance* law. Such laws involve a nonstandard notion of chance. The second is a probabilistic* constraining law.
Barrett, Jeffrey A., Chen, Eddy Keming
core
Molecular Oncology, EarlyView.EXOSC10, an essential nuclear RNA exosome‐associated 3′‐5′ exoribonuclease, is inhibited by the anticancer drug 5‐fluorouracil (5‐FU), and EXOSC10 depletion increases 5‐FU sensitivity. The colon‐cancer variant EXOSC10S402T, located in a proteolysis motif, is stable and nuclear but nonfunctional in vivo.
Radhika Sain +10 more
wiley +1 more source
Nihon Kikai Gakkai ronbunshu, 2015 The complexity or randomness of the laminar-turbulent transition process of an inlet boundary layer in a circular pipe was analyzed by use of Kolmogorov complexity which is a very important measure of the randomness of various events. In the inlet region
Masashi ICHIMIYA +2 more
doaj +1 more source
Multi-robot path planning based on a deep reinforcement learning DQN algorithm
CAAI Transactions on Intelligence Technology, 2020 The unmanned warehouse dispatching system of the ‘goods to people’ model uses a structure mainly based on a handling robot, which saves considerable manpower and improves the efficiency of the warehouse picking operation. However, the optimal performance
Yang Yang, Li Juntao, Peng Lingling
doaj +1 more source