Results 111 to 120 of about 2,706,344 (291)
Aim: This study compared smear-layer and debris removal using with three different application times of 17% EDTA and 7% maleic acid irrigation agents. Methodology: Fifty-two maxillary and mandibular single-rooted teeth were divided randomly into ...
İbrahim Uysal +3 more
core +1 more source
The Interoperability Challenge in DFT Workflows Across Implementations
Interoperability and cross‐validation remain major challenges in the computational materials science. In this work, we introduce a common input/output standard that enables internal translation across multiple workflow managers—AiiDA, PerQueue, Pipeline Pilot, and SimStack—while producing results in a unified schema.
Simon K. Steensen +13 more
wiley +1 more source
Artificial Intelligence for Advanced Functional Materials: Progress and Emerging Frontiers
Artificial intelligence is transforming the discovery of functional materials by linking synthesis, characterization, simulation, and design in unified workflows. Advances in machine learning, autonomous experimentation, and foundation models are accelerating innovation across energy, electronics, and biomedicine, while revealing new frontiers for ...
Cristiano Malica +38 more
wiley +1 more source
Background: This study evaluated the effectiveness of Laser-Activated Irrigation (LAI), XP-Endo Finisher, and Endo Activator in removing the smear layer from root canal walls by assessing dentinal tubule opening in the coronal, middle, and apical thirds
Okba Mahmoud +3 more
doaj +1 more source
Revealing Hidden Raman Signatures Through Attention‐Based Spectral Unmixing
Weak Raman signatures are recovered from background‐dominated spectra using a transformer‐based, reference‐free spectral unmixing AI framework. Self‐attention reconstructs substrate contribution directly from mixed data, enabling reliable extraction of previously inaccessible vibrational features.
Dmitriy A. Poteryayev +9 more
wiley +1 more source
DyCoDiff: Dynamic Collaborative Diffusion for Text‐Image‐Audio‐to‐Video
DyCoDiff enables text, image, and audio conditions to collaborate before temporal video generation. A multimodal condition fusion layer injects gated text‐centric fusion into the temporal branch, while collaborative losses align generated videos with semantic, visual, and dynamic audio cues for rhythm‐sensitive text‐image‐audio‐to‐video synthesis. Text‐
Youming Zhang +3 more
wiley +1 more source
Influence of different volumes of EDTA for final rinse on smear layer removal
Objective. The aim of this study was to analyze the influence of different volumes of 17% EDTA for final rinse on smear layer removal on the different areas of the root canal. Study design.
ROBAZZA, Carlos Roberto Colombo +7 more
core +1 more source
AI‐Powered Smart Displays and AR Glasses: Perspectives and Challenges
This perspective examines how AI is reshaping smart displays and AR glasses. The latest in image‐quality enhancement, sensor‐integrated display optimization, and physiological sensing in display systems, followed by AI‐assisted AR technologies including waveguide optimization, image compensation, foveated rendering, and multimodal sensing, is discussed.
Luke Benoit +8 more
wiley +1 more source
ABSTRACT Mucopolysaccharidoses (MPS) are lysosomal storage disorders characterized by the accumulation of glycosaminoglycans (GAGs), which can lead to cytoplasmic alterations in leukocytes. The objective of this study was to characterize leukocyte inclusions in patients with different types of MPS and assess their diagnostic relevance.
Márcio A. W. Melo +5 more
wiley +1 more source
Aim: The main goal of the present experimental research was to analyze the smear layer removal efficacy of chelating agents and correlate with the amount of calcium released from the radicular dentin with the canal space.
Gyanendra Pratap Singh +2 more
doaj +1 more source

