Results 121 to 130 of about 3,080,648 (304)
Targeting the PDK1/c‐Myc/SOX10 Signaling in Oligodendrocytes Alleviates Neuropathic Pain
Advanced Science, EarlyView.This work reveals that oligodendrocyte homeostasis, mediated by PDK1, is a critical determinant of neuropathic pain (NPP) pathogenesis. Disruption of PDK1 in oligodendrocytes impairs SOX10‐dependent myelination programs through c‐Myc accumulation, leading to disrupted myelination and the pathophysiology of NPP.
Pingping Qiao +7 more
wiley +1 more source
IEEE AccessLow-light image enhancement (LLIE) aims to restore visually pleasing and detail-preserving images from poorly illuminated inputs. While existing LLIE methods can recover overall brightness, they often suffer from color distortion and inadequate detail ...
Xinling Wang +3 more
doaj +1 more source
Rethinking Random Masking in Self-Distillation on ViT
CoRRVision Transformers (ViTs) have demonstrated remarkable performance across a wide range of vision tasks. In particular, self-distillation frameworks such as DINO have contributed significantly to these advances. Within such frameworks, random masking is often utilized to improve training efficiency and introduce regularization.
Jihyeon Seong, Hyunkyung Han
openaire +2 more sources
Advanced Science, EarlyView.The PBTN targets GRP78 and, upon X‐ray irradiation, generates ONOO− to induce immunogenic cell death, thereby activating CD8+ T cells and establishing a systemic antitumor immune response. ABSTRACT Nitric oxide (NO) treated radioresistant tumors by relieving hypoxia and blocking DNA repair, but its nonselective toxicity has precluded therapeutic use ...
Wanze Zhang +10 more
wiley +1 more source
SkillFactory: Self-Distillation For Learning Cognitive Behaviors
CoRRReasoning models leveraging long chains of thought employ various cognitive skills, such as verification of their answers, backtracking, retrying by an alternate method, and more. Previous work has shown that when a base language model exhibits these skills, training that model further with reinforcement learning (RL) can learn to leverage them.
Zayne Sprague +5 more
openaire +2 more sources
New column configurations for pressure swing batch distillation I. Feasibility Studies
, 2007 The feasibility of the pressure swing distillation in different batch column configurations is investigated. The method is based on the assumption of maximal separation. Besides studying the well known batch configurations (rectifier, stripper, middle
Modla, Gábor
core
System for monitoring and controlling unit operations that include distillation [PDF]
, 2009 Fluid sensor methods and systems adapted for monitoring and/or controlling distillation operations in fluidic systems, such as bath distillation operations or continuous distillation operations, are disclosed.
Carlson, Eric +6 more
core
Advantage Distillation techniques for secret key generation
, 2023 openAnalisi di una tecnica di Distillation per trovare una chiave simmetrica sicura a protezione di un messaggio tra due utenti.
LATTENERO, STEFANO
core
Printable Conductive Hydrogels for Electrochemical Biosensing and Soft Bioelectronic Interfaces
Advanced Science, EarlyView.Flexible, conductive hydrogels that integrate printability, mechanical tunability, biocompatibility, and electronic performance remain challenging to achieve. Here, we develop 3D‐printable poly(ethylene glycol)–poly(pyrrole)‐ hydrogels with tissue‐like mechanics, high cytocompatibility, and robust electrochemical function.
Lukas Hein +6 more
wiley +1 more source
GNN’s Uncertainty Quantification Using Self-distillation
Graph Neural Networks (GNNs) have shown remarkable performance in the healthcare domain. However, what remained challenging is quantifying the predictive uncertainty of GNNs, which is an important aspect of trustworthiness in clinical settings. While Bayesian and ensemble methods can be used to quantify uncertainty, they are computationally expensive ...
Hirad Daneshvar, Reza Samavi
openaire +2 more sources