Results 111 to 120 of about 15,648,464 (247)

Targeting Hippocampal PTEN Suppresses Ferroptosis and Rescues Cognitive Decline in Alzheimer's Disease via Dual AKT/GSK3β/Nrf2 and AKT/STAT3 Axes

open access: yesAdvanced Science, EarlyView.
PTEN knockdown activates AKT phosphorylation, promoting Nrf2 nuclear translocation and STAT3 activation, which upregulates GPX4 and antioxidant enzymes HO‐1, SOD1, SOD2, and NQO1. These coordinated changes reduce lipid peroxidation and ROS, inhibit ferroptosis, and ultimately ameliorate cognitive impairment in APP/PS1 transgenic mice, highlighting a ...
Da‐Wei Wang   +5 more
wiley   +1 more source

A Nested Demand Shares Model of Artificial Marine Habitat Choice by Sport Anglers [PDF]

open access: yes
There is growing public interest in the development of artificial habitats to enhance and diversify coastal marine resources for recreational and commercial uses. In this article, a hierarchical discrete choice model of recreational demand for artificial
Milon, J. Walter
core  

Biochemically Constrained Multi‐Omics Integration Reveals Protein–Metabolite Dependencies Across Diseases

open access: yesAdvanced Science, EarlyView.
ProMetNet introduces a biologically constrained deep learning framework for proteo‐metabolomic integration by embedding Reactome‐derived pathway topology into neural networks. It captures non‐linear molecular dependencies and pathway‐level metabolic reorganization, enabling interpretable discrimination.
Minghui Zhao   +6 more
wiley   +1 more source

Hierarchical Reasoning versus Iterated Reasoning in p-Beauty Contest Guessing Games [PDF]

open access: yes
This paper analyzes strategic choice in p-beauty contests. We first show that it is not generally a best reply to guess the expected target value (accounting for the own weight) even in games with n>2 players and that iterated best response sequences are
Breitmoser, Yves
core  

actr-error-model: ICCM2015

open access: yes, 2016
<p>Halbrügge, M., Quade, M. & Engelbrecht, K.-P. (2015). A Predictive Model of Human Error based on User Interface Development Models and a Cognitive Architecture. In Taatgen, N. A., van Vugt, M. K., Borst, J. P. & Mehlhorn, K.
Marc Halbrügge
core   +1 more source

Fusing Direct and Indirect Measurements Through Multi‐Fidelity Learning For Accelerated Electrocaloric Materials Discovery

open access: yesAdvanced Science, EarlyView.
A multi‐fidelity framework integrates sparse direct and abundant indirect electrocaloric measurements. Multi‐objective active learning accelerates BaTiO3‐based electrocaloric materials discovery at –70∘C$^{\circ }{\rm C}$. A diffuse transition enables an electrocaloric strength of 0.06×$\times$10−6 Km/V at –70℃ with an operational temperature span of ...
Bo Wang   +8 more
wiley   +1 more source

Perceived Time Shapes Physical Fatigue Accumulation and Its Neural Oscillatory Correlates

open access: yesAdvanced Science, EarlyView.
Can a clock change the course of physical fatigue? By covertly manipulating the clock calibration during repeated isometric contractions, we showed that perceived time shapes fatigue accumulation and frontal oscillatory dynamics. While fatigue accumulation was only reduced when the clock was slowed down, frontal oscillatory dynamics followed perceived ...
Pierre‐Marie Matta   +3 more
wiley   +1 more source

Predicting Step 2 CK Performance Using Automated Feature Selection and Nested Cross-Validation

open access: yesJournal of Medical Education and Curricular Development
Background Given the recent transition of the USMLE Step 1 exam to a pass/fail system, evaluative emphasis is expected to shift toward the USMLE Step 2 Clinical Knowledge (USMLE-CK) exam, prompting the need for advanced predictive models.
Padraig Mark Healy, Syed Latifi
doaj   +1 more source

AUTOREGRESSIVE CONDITIONAL HETEROSKEDASTICY UNDER ERROR-TERM NON-NORMALITY [PDF]

open access: yes
This paper explores the impact of error-term non-normality on the performance of the normal-error Generalized Autoregressive Conditional Heteroskedastic (GARCH) model under small and moderate sample sizes.
Ramirez, Octavio A.
core  

Canonical Antibodies Adopt Distinct Binding Modes to Recognize Viral Glycan Shields

open access: yesAdvanced Science, EarlyView.
Canonical Y‐shaped antibodies recognize viral glycan shields through adaptive Fab assembly states shaped by glycan organization and somatic hypermutation. Structural analyses ofbroadly neutralizing antibodies VRC35 and VRC36 across glycoproteins of HIV‐1, influenza, SARS‐CoV‐2, and Lassa viruses reveal distinct Fab assembly states, spanning monovalent,
Jiaxuan Cheng   +71 more
wiley   +1 more source

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