Results 81 to 90 of about 3,234,558 (306)

ACSL4‐Dependent Lysosomal Lipid Peroxidation Links WTAP‐Mediated m6A Modification to Intervertebral Disc Degeneration

open access: yesAdvanced Science, EarlyView.
IL‐1β upregulates the protein level of WTAP, which promotes the m6A modification of ACSL4 mRNA in an IGF2BP2‐dependent manner, thereby enhancing its stability. The increased ACSL4 drives lipid peroxidation, leading to lysosomal membrane permeabilization (LMP) and impaired mitophagy, which collectively accelerate intervertebral disc degeneration (IVDD).
Shu Jia   +8 more
wiley   +1 more source

Efficient Tests of the Seasonal Unit Root Hypothesis* [PDF]

open access: yes
In this paper we derive, under the assumption of Gaussian errors with known error covariance matrix, asymptotic local power bounds for seasonal unit root tests for both known and unknown deterministic scenarios and for an arbitrary seasonal aspect.
A.M. Robert Taylor, Paulo M.M. Rodrigues
core  

Tau Aggregate Imaging and Transcriptomics of Alzheimer's Disease Brain at Different Stages of Disease

open access: yesAdvanced Science, EarlyView.
The protein aggregates and gene expression in the middle temporal gyrus (MTG) and somatosensory cortex (SOM) of the postmortem brains of 13 Alzheimer's disease patients were studied in detail, revealing that small hyperphosphorylated tau aggregates increase with Braak stage driven by microglial inflammation.
Elizabeth A. English   +9 more
wiley   +1 more source

Asymptotic theory of statistics form unit root test regressions when the alternative is a breaking-trend-stationary model [PDF]

open access: yes
We derive test regressions whose structure provides a link between tests for a unit root and tests on the nullity of the parameters associated with the regression's trend function.
Noriega-Muro, Antonio
core  

Seeing the Chemistry of Biomolecular Condensates: In Situ Mapping of Composition and Water Content

open access: yesAdvanced Science, EarlyView.
Raman hyperspectral imaging combined with spectral phasor analysis enables a label‐free quantification of proteins, polymers and water density within individual biomolecular condensates. By transforming complex vibrational fingerprints into intuitive compositional maps, the approach reveals the high water content and structural heterogeneity of ...
E. Sabri   +3 more
wiley   +1 more source

Analytical approximation of the definite Chapman integral for arbitrary zenith angles [PDF]

open access: yesAtmospheric Chemistry and Physics
This study presents an analytical approximation of the definite Chapman integral, applicable to any zenith angle and finite integration limits. The author also presents the asymptotic expression for the definite Chapman integral, which enables an ...
D. Yue
doaj   +1 more source

The overall seasonal integration tests under non-stationary alternatives [PDF]

open access: yes
Few authors have studied, either asymptotically or in finite samples, the size and power of seasonal unit root tests when the data generating process [DGP] is a non-stationary alternative aside from the seasonal random walk. In this respect, Ghysels, lee
Ghassen El Montasser
core  

Low‐Power Control Of Resistance Switching Transitions in First‐Order Memristors

open access: yesAdvanced Electronic Materials, EarlyView.
Joule losses are a serious concern in modern integrated circuit design. In this regard, minimizing the energy necessary for programming memristors should be handled with care. This manuscript presents an optimal control framework, allowing to derive energy‐efficient programming voltage protocols for resistance switching devices. Following this approach,
Valeriy A. Slipko   +3 more
wiley   +1 more source

"An Asymptotic Expansion with Malliavin Weights: An Application to Pricing Discrete Barrier Options" [PDF]

open access: yes
This paper proposes a new approximation method for pricing barrier options with discrete monitoring under stochastic volatility environment. In particular, the integration-by-parts formula in Malliavin calculus is effectively applied in an asymptotic ...
Akihiko Takahashi, Toshihiro Yamada
core   +2 more sources

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

open access: yesAdvanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park   +19 more
wiley   +1 more source

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