Results 111 to 120 of about 2,978,413 (271)

Mandibular Third Molar Impaction: Review of Literature and a Proposal of a Classification

, 2013
Objectives: The purpose of present article was to review impacted mandibular third molar aetiology, clinical anatomy, radiologic examination, surgical treatment and possible complications, as well as to create new mandibular third molar impaction and ...
Gintaras Juodzbalys, Povilas Daugela
core   +1 more source

Attomolar Detection of HIV‐1 With Label‐Free RCA‐rCRISPR on Smartphone

Advanced Science, EarlyView.
A new diagnostic strategy integrating rolling circle amplification (RCA) with a plasmid reporter–based ratiometric CRISPR (rCRISPR) system was developed to detect unfragmented HIV genomes with single‐digit attomolar sensitivity. The method quantifies targets using the plasmid relaxation ratio and employs a smartphone‐based mini‐gel device to enable ...
Noor Mohammad, Anastasiia Steksova, Yuyang Tang, Leyao Huang, Alireza Velayati, Shengwei Zhang, Aditi Dey Poonam, Sina Jamalzadegan, Matthew Breen, Hongjie Chen, Mahsa Bagi, Guochun Jiang, Qingshan Wei   +12 more
wiley   +1 more source

Histopathologic Changes in Dental Follicles: Are They Serious?

Dental Hypotheses, 2011
Pathologic changes within pericoronal tissues of impacted third molars are not uncommon. Retained impacted teeth within the bone may be associated with pathologic changes in pericoronal tissues due to unknown mechanisms.
M.H.K Motamedi
doaj  

Co‐Delivery of Sustained Release Chondroitinase ABC‐37 With Human iPSC‐Derived Neural Progenitors Promotes Transplant Survival and Functional Recovery in a Rodent Model of Stroke

Advanced Science, EarlyView.
A regenerative strategy for stroke combines human stem cell–derived neural progenitor cells with sustained release of a matrix‐modifying, thermostable chondroitinase ABC‐37 enzyme. In a rat model of stroke, co‐delivery enhanced transplanted cell survival and neuronal differentiation, degraded inhibitory extracellular matrix components, and improved ...
Nitzan Letko Khait, David Xinzheyang Li, Keyi Guo, Hong Cui, Quinton Sirianni, Dhana Abdo, Cindi M. Morshead, Molly S. Shoichet   +7 more
wiley   +1 more source

Unifying Composition and Process Design: A Heterogeneous Graph Neural Network for Discovering High‐Performance Cu Alloys

Advanced Science, EarlyView.
By overcoming the fixed‐path limitations of conventional machine learning, a heterogeneous graph neural network fundamentally reconstructs material data representation. Integrating variable processing sequences with intrinsic elemental features, this framework enables exploratory optimization across high‐dimensional spaces.
Jie Yin, Qian Lei, Wei Yan, Yue Li, Tong Xie, Shuang Zhou, Chong Wang, Bram Hoex, Qiang Long, Caoyang Jiang, Min Song, Zhou Li, Zhangwei Wang   +12 more
wiley   +1 more source

Friend, Not Foe: Lowered Tissue Reactivity to Long‐Term Polyimide Implants

Advanced Science, EarlyView.
The choice of optimal neural probe designs remains a major challenge in the field of neurotechnology. This study investigated the biocompatibility of several probe variations, including material, thickness, width, and implantation strategy. It highlights the clear advantage of soft polyimide probes over stiff silicon probes for better device ...
Corinne Orlemann, Laura M. De Santis, Paul Neering, Christian Boehler, Kirti Sharma, Arno Aarts, Tobias Holzhammer, Rik J. J. van Daal, Patrick Ruther, Maria Asplund, Roxana N. Kooijmans, Pieter R. Roelfsema   +11 more
wiley   +1 more source

Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design

Advanced Science, EarlyView.
A large language model (LLM) based pipeline is developed to automatically extract a comprehensive and accurate multicomponent alloy database from literature corpus. The extracted dataset is integrated with sustainability indicators to identify potential alloys that outperform existing industrial benchmark materials in terms of both performance and ...
Aravindan Kamatchi Sundaram, Mohit Chakraborty, Sai Mani Kumar Devathi, B. Pabitramohan Prusty, Rohit Batra   +4 more
wiley   +1 more source

Machine Learning‐Assisted KCl‐CaCl2‐LiCl Electrolyte Design for Low‐Temperature, High‐Performance Calcium‐Based Liquid Metal Batteries

Advanced Science, EarlyView.
A machine learning‐assisted framework optimizes the KCl‐CaCl2‐LiCl ternary electrolyte. The optimized 13:35:52 mol% composition enables Ca‐based liquid metal batteries to operate stably at 480 °C, with >99.5% coulombic efficiency, ultralow self‐discharge, and excellent cycling stability, advancing low‐temperature large‐scale energy storage.
Xinglin Zhou, Lei Huang, Yan Zhou, Xiaohui Ning   +3 more
wiley   +1 more source

Uprighting of Impacted Mandibular Molar Using Intra-Ramal Bone Screw- A Case Report

Orthodontic Journal of Nepal
Impaction of second molar is a complex problem in orthodontics and its management can be very challenging. Intra-ramal bone screws provide traction forces in a superior and posterior direction, simplifying the mechanics and making uprighting of the ...
Sanjay Prasad Gupta, Krishna KC, Shristi Rauniyar   +2 more
doaj   +1 more source

Radiographic assessment of distribution of mandibular third molar impaction: A retrospective study

, 2016
Introduction: Third molars are the most common teeth that may follow an abortive eruption path and become impacted as a result of pathology, anatomical structures or insufficient osseous space posterior to the second molars.
Keerthi Irugu, Tejavathi Nagaraj, Lakshmi Balraj, Sreelakshmi, Shruthi Rajashekarmurthy   +4 more
core   +1 more source