Results 161 to 170 of about 2,588,760 (308)

The Difference In Root Canal Surface Smoothness At The Apical Third Between Instrument With Continuos Rotation And Reciprocating Movement

open access: yes, 2014
The aim study is to compare the root canal wall smoothness at the apical third after preparation with continous rotation and reciprocal instrument. The difference between groups were not statiscally significant with p value = 0,739 (p>0,05).Smooth Root ...
Wahyuni Suci Dwiandhany, drg., SpKG
core  

Acinar‐Derived Organoids Reveal Stage‐Specific Control of Acinar Plasticity

open access: yesAdvanced Science, EarlyView.
An acinar‐derived organoid system maintains adult pancreatic acinar identity ex vivo, converts it along an ordered acinar‐to‐ductal‐like trajectory, and then partially restores it. Each transition carries its own signal requirement, with EGF/EGFR initiating conversion and a staged glucocorticoid–IGF1R switch driving redifferentiation.
Yongfei Hou   +10 more
wiley   +1 more source

The Differen In Root Canal Surface Smoothness At The Aoical Third Between Instrument With Continuos Rotation And Reciprocating Movement

open access: yes, 2014
The aim study is to compare the root canal wall smoothness at the apical third after preparation with continous rotation and reciprocal instrument. The difference between groups were not statiscally significant with p value = 0,739 (p>0,05).Smooth Root ...
Wahyuni Suci Dwiandhany, drg., SpKG
core  

Astrocytic Ketogenesis Protects Central Nervous System Injury via CPT1A Stabilization and Epigenetic Regulation

open access: yesAdvanced Science, EarlyView.
A distinct astrocyte subpopulation, enriched at the lesion border, drives CNS repair through enhanced ketone body metabolism. This process promotes neuronal survival and axonal sparing via CPT1A stabilization and H3K9bhb‐dependent epigenetic reprogramming, positioning astrocytic ketogenesis as a promising therapeutic target for tissue regeneration ...
Dishui Pan   +14 more
wiley   +1 more source

An Explainable Multimodal Deep‐Learning Model Using Histopathological Image and Clinical Information for Prognosis Prediction in Colorectal Cancer: A Multi‐Center Cohort Study

open access: yesAdvanced Science, EarlyView.
This study develops a multimodal deep‐learning model that integrates clinical variables and histopathological images to predict survival outcomes in colorectal cancer. The multimodal model effectively stratifies patients into low‐ and high‐risk groups, demonstrating superior accuracy and generalizability across multiple independent cohorts.
Zhihan Jiang   +12 more
wiley   +1 more source

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