Results 171 to 180 of about 888,378 (285)

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

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

An Innovative Roll-on Bracket Design to Reduce Friction in Sliding Mechanics: A Finite Element Analysis. [PDF]

Contemp Clin Dent
Dharne S, Umar D, Mubeen M, Aziz Y, Husain A.   +4 more
europepmc   +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

Bracketing

Ethnologia Europaea, 2005
openaire   +2 more sources

Virtual Simulation Versus Traditional Training for Orthodontic Bracket Positioning: A Pilot RCT. [PDF]

Int Dent J
Lai D, Lai B, Xu L, Huang X.
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

Effect of Kombucha Exposure on Corrosion Resistance of MIM Orthodontic Brackets: Geometry-Electrochemistry Coupling and Oral Health Implications (MIM-316L vs. Commercial). [PDF]

Materials (Basel)
Ziębowicz A, Groelich W, Gołombek K, Wilk K.   +3 more
europepmc   +1 more source

How does the Kids SIPsmartER program impact the sugar‐sweetened beverage intake of students: An investigation beyond total treatment effect in randomized controlled trial

American Journal of Agricultural Economics, EarlyView.
Abstract This study develops and empirically estimates a structural framework to decompose the causal pathways of multilevel behavioral interventions targeting adolescent health behaviors. We apply this framework to the Kids SIPsmartER (KSS) program, a 6‐month, school‐based intervention evaluated through a clustered randomized controlled trial in rural
Naveen Abedin, Wen You, Annie Reid, Kathleen Porter, Brittany Kirkpatrick, Jamie Zoellner   +5 more
wiley   +1 more source

Integrated Characterization by EDS and Roughness as a Diagnostic Tool for Dental Enamel Degradation: An In Vitro Study. [PDF]

Bioengineering (Basel)
Licsăndroiu CB, Țuculină MJ, Mărășescu PC, Mărășescu FI, Mirițoiu CM, Gheorghe RIO, Dimitriu B, Bezna MC, Licsăndroiu EV, Stan M, Bacanu CM, Dascălu IT.   +11 more
europepmc   +1 more source