Results 201 to 210 of about 159,414 (315)

Evaluation of Bracket Positioning; A Customized System Versus the Conventional Method. [PDF]

Turk J Orthod
Sucu K, Özer M, Özer M.
europepmc   +1 more source

Preoperative Computed Tomography Colonography‐Angiography for Vascular Mapping to Guide and Standardize D3 Lymphadenectomy in Right‐Sided and Transverse Colon Cancer

Annals of Gastroenterological Surgery, EarlyView.
This study utilized high‐resolution CT colonography‐angiography to systematically classify vascular branching patterns in 591 patients. We defined four reproducible anatomical patterns each for right hemicolectomy and transverse colectomy, demonstrating that an independent‐origin middle colic artery consistently predicts shorter dissection distances ...
Takeharu Kato, Yukihide Kanemitsu, Mototaka Miyake, Gen Tomizawa, Kohei Takura, Hiroshi Nagata, Yasuyuki Takamizawa, Konosuke Moritani, Shunsuke Tsukamoto   +8 more
wiley   +1 more source

The Influence of Orthodontic Bracket Base Design and Bonding System on Shear Bond Strength. [PDF]

J Funct Biomater
Nardin MM, Ionescu AG, Done AE, Mirițoiu CM, Pădeanu PA, Rauten AM, Dăguci L, Preoteasa CT, Mercuț V.   +8 more
europepmc   +1 more source

Automated generative process synthesis via transformer‐based dual‐loop simulation and optimization

AIChE Journal, EarlyView.
Abstract This study presents a novel framework for automated generative process synthesis, addressing the complexity of simultaneously optimizing discrete topologies and continuous operating variables. To overcome conventional superstructure limitations, we propose a dual‐loop architecture integrating generative transformers with rigorous process ...
Yeong Woo Son, Chan Kim, Ji Hun Pak, Hain Lee, Jong Min Lee   +4 more
wiley   +1 more source

Automatic Determination of Quasicrystalline Patterns from Microscopy Images

Advanced Intelligent Discovery, EarlyView.
This work introduces a user‐friendly machine learning tool to automatically extract and visualize quasicrystalline tiling patterns from atomically resolved microscopy images. It uses feature clustering, nearest‐neighbor analysis, and support vector machines. The method is broadly applicable to various quasicrystalline systems and is released as part of
Tano Kim Kender, Marco Corrias, Cesare Franchini   +2 more
wiley   +1 more source

A Physics Constrained Machine Learning Pipeline for Young's Modulus Prediction in Multimaterial Hyperelastic Cylinders Guided by Contact Mechanics

Advanced Intelligent Discovery, EarlyView.
A physics‐guided machine learning framework estimates Young's modulus in multilayered multimaterial hyperelastic cylinders using contact mechanics. A semiempirical stiffness law is embedded into a custom neural network, ensuring physically consistent predictions. Validation against experimental and numerical data on C.
Christoforos Rekatsinas, Panagiotis Krokidas, Vasileios Vavourakis, Clara Essmann, George Giannakopoulos   +4 more
wiley   +1 more source

Efficiency and Precision in Orthodontics: A Case Report and Literature Review on the Simplified Lingual Bonding System. [PDF]

Cureus
Satapathy S, Agarwal N, Das S.
europepmc   +1 more source

Factorization Machine with Iterative Quantum Reverse Annealing: A Python Package for Batch Black‐Box Optimization With Reverse Quantum Annealing

Advanced Intelligent Discovery, EarlyView.
Factorization machine with iterative quantum reverse annealing (FMIRA) leverages quantum reverse annealing to perform batch black‐box optimization. Factorization machine with quantum annealing (FMQA) is a widely used python package for solving black‐box optimization problems using D‐Wave quantum annealers.
Andrejs Tučs, Ryo Tamura, Koji Tsuda
wiley   +1 more source

The Effect of 1.5 Tesla MRI on Microleakage and Thermal Stability of Stainless Steel and Titanium Orthodontic Brackets: An <i>in vitro</i> Study. [PDF]

J Dent (Shiraz)
Paknahad M, Ghaedi Y, Hajipour F, Ajami S.   +3 more
europepmc   +1 more source

Lidar‐Based Object Tracking of Traffic Participants with Sensor Nodes in Existing Urban Infrastructure

Advanced Intelligent Systems, EarlyView.
This paper presents a lidar‐based sensor node design and a rule‐based state observer for edge‐based traffic participant tracking. Unlike other state‐of‐the‐art methods, this state observer enables real‐time, CPU‐only edge processing without relying on machine learning approaches.
Simon Schäfer, Bassam Alrifaee, Ehsan Hashemi   +2 more
wiley   +1 more source