Results 261 to 270 of about 6,761,743 (311)

ATZ‐1 promotes DNA replication efficiency to maintain normal meiotic function

FEBS Open Bio, EarlyView.
Absence of ATZ‐1 interferes with meiotic DNA replication and cell cycle function via CHK‐1. This causes downstream defects associated with DNA damage and genomic integrity. Taken together, this study suggests that ATZ‐1 influences DNA replication efficiency and cell cycle function to maintain normal meiotic function.
Taylin E. Gourley, Luke W. Molesworth, Nethma H. Waduge, Fahimeh Eskandari, Peter R. Boag, Gregory M. Davis   +5 more
wiley   +1 more source

Evaluating the effect of γ‐oryzanol on MASLD pathology using a medaka fish model

FEBS Open Bio, EarlyView.
This study explores a liver disease called MASLD, which is increasing worldwide and can lead to serious damage. Researchers used medaka fish instead of rodents to test a food compound, γ‐oryzanol. Fish fed this compound had less liver fat and healthier gut bacteria.
Yukako Ito, Haduki Asano, Ayano Ueki, Joe Sakamoto, Yasuhiro Kamei, Hayato Tokumoto, Ayaka Yazawa, Shigeki Kamitani   +7 more
wiley   +1 more source

KDAC6 alters cell morphology and motility through positive and negative modulation of F‐actin distribution

FEBS Open Bio, EarlyView.
KDAC6 has been associated with cell motility and actin structures, but specific domain contributions are not established. The two catalytic domains have differential effects on motility and F‐actin regulation, affecting cortical F‐actin density, motility, stress fibers, and cell spreading.
Taylor V. Joseph, Andrea B. Pham, Kiara E. Bornes, Razan H. Hammad, Chelsea A. Rousseve‐Ross, Thomas M. Huckaba, Terry J. Watt, Tasha B. Toro   +7 more
wiley   +1 more source

Periodic solutions in distribution for stochastic lattice differential equations

Electronic Journal of Differential Equations
Yue Gao, Xue Yang
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Differentially Private Distributed Learning

INFORMS Journal on Computing, 2020
The rich data used to train learning models increasingly tend to be distributed and private. It is important to efficiently perform learning tasks without compromising individual users’ privacy even considering untrusted learning applications and, furthermore, understand how privacy-preservation mechanisms impact the learning process.
Yaqin Zhou, Shaojie Tang 0001
openaire   +3 more sources

Differentially Private Distributed Parameter Estimation

Journal of Systems Science and Complexity, 2022
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jimin Wang, Jianwei Tan, Ji-Feng Zhang
openaire   +2 more sources

VERTICAL DIFFERENTIATION AND THE DISTRIBUTION OF INCOME

Bulletin of Economic Research, 2006
The paper analyses the effects of income concentration on the behaviour of a duopoly with vertical product differentiation and uncovered market. By using a trapezoid distribution, we solve explicitly for market equilibrium as a function of a mean preserving spread of the income distribution. We show that overall more concentrated incomes imply stronger
BENASSI, CORRADO, A. Chirco, C. Colombo
openaire   +4 more sources

Differentially Private Distributed Frequency Estimation

IEEE Transactions on Dependable and Secure Computing, 2023
Submitted/Accepted ...
Mengmeng Yang 0002, Ivan Tjuawinata, Kwok-Yan Lam, Tianqing Zhu, Jun Zhao 0007   +4 more
openaire   +4 more sources

Differentiating aggregate gaze distributions

Proceedings of the ACM SIGGRAPH Symposium on Applied Perception in Graphics and Visualization, 2011
A machine learning approach used to classify aggregate gaze distributions recorded by an eye tracker and visualized as heatmaps is demonstrated to successfully discriminate between free and task-driven exploration of video clips.
Thomas Grindinger, Andrew T. Duchowski, Pilar Orero   +2 more
openaire   +1 more source

On distributed order integrator/differentiator

Signal Processing, 2011
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yan Li 0004, Hu Sheng, Yangquan Chen
openaire   +2 more sources