Results 161 to 170 of about 4,217 (265)

Development of interactive MRI‐based 3D visualization tools for neuroanatomy education in Latin America

Anatomical Sciences Education, EarlyView.
Abstract The study of neuroanatomy is fundamental in many scientific fields. Despite this, it is a challenging subject for students. As technology evolves, it is being increasingly incorporated into educational methods, including the teaching of neuroanatomy. Three‐dimensional (3D) visualizations are well suited for displaying neuroanatomy.
Merlin J. Fair, Diego Cureño, Alejandro De León Cuevas, Paola Ocampo Luna, Marta Bianciardi, María G. García‐Gomar   +5 more
wiley   +1 more source

Transverse and vertical cracking behavior of railway rails due to geometrical imperfections and bending. [PDF]

Sci Rep
Karalar M, Motameni A, Buyuk M, Gürbüz R.   +3 more
europepmc   +1 more source

Low‐Field MRI as a Multiparametric Tool for Large Engineered Tissue Characterization

Biotechnology and Bioengineering, EarlyView.
ABSTRACT Advances in 3D bioprinting have enabled the fabrication of large and complex engineered tissues, but their increasing size demands non‐invasive tools for monitoring structure, maturation, and perfusion. Magnetic Resonance Imaging (MRI) offers unique multiparametric capabilities, yet high‐field systems remain costly and inaccessible for most ...
Yilbert Gimenez, Valernst Martial Gilmus, Elliott Cowles, Lucie Essayan, Vincent Semet, Michel Cabrera, Christophe A. Marquette, Simon A. Lambert, Emma Petiot   +8 more
wiley   +1 more source

Tri-WOB: A Bistability-Driven Variable Stiffness Origami Structure for Soft Robotic Arms. [PDF]

Adv Sci (Weinh)
Kong L, Zhao YF.
europepmc   +1 more source

BUCKLING BEHAVIOR AND STRENGTH ESTIMATION OF SINGLE LAYER HP LATTICE SHELLS WITH LOADING IMPERFECTION AND GEOMETRICAL INITIAL IMPERFECTION

Journal of Structural and Construction Engineering (Transactions of AIJ), 2002
Toshiyuki OGAWA, Shiro KATO, Tetsu ISOHATA, Tomohiko KUMAGAI   +3 more
openaire   +2 more sources

Scale‐Down Platforms for Process‐Oriented Enzyme Screening Using Microfluidics

Biotechnology and Bioengineering, EarlyView.
ABSTRACT Enzyme screening platforms are typically evaluated based on their throughput and analytical performance rather than their ability to mimic the conditions encountered at large scale. In bioreactors, enzymes experience gradients in substrate concentration, oxygen availability, pH, temperature, and interfacial exposure, caused by imperfect mixing
Maria I. Rodriguez‐Torres, Elif Erdem, Junhyeong Wang, Ulrich Krühne, Michael Daniele, John M. Woodley   +5 more
wiley   +1 more source

Theoretical and Numerical Study of the Buckling of Axially Compressed Bimodular Thin Cylindrical Shells. [PDF]

Materials (Basel)
Ran JS, He XT, Sun JY.
europepmc   +1 more source

Metal nanostructure‐coupled label‐free localized surface plasmon resonance biosensors for rapid and sensitive disease diagnosis

BMEMat, EarlyView.
LSPR biosensing enables rapid, sensitive, and low‐sample‐volume detection of biomarkers, with broad applications in diagnosing cancer, infectious, and chronic diseases. Advances in nanostructure design, micro/nanofabrication, and microfluidic integration have expanded the potential of LSPR sensors in biomedical diagnostics.
Zhaoxin Geng, Yunfei Sha, Jiongyan Yang, Hongru Yang, Xiao Liang   +4 more
wiley   +1 more source

Photogrammetric Reconstruction of 3D Human Anatomical Structures and Augmented Reality via Smartphone Technology

Clinical Anatomy, EarlyView.
ABSTRACT Limited access to cadavers necessitates the availability of digital resources for anatomy education. Smartphone‐based photogrammetry offers a promising solution for creating three‐dimensional (3D) and augmented reality (AR) models. This study compared two mobile photogrammetry applications (Qlone and Polycam) that have been used in modern ...
Sarita Phukwantong, Paphawarin Ma‐imjai, Benrita Jitaree, Athinan Prommahom   +3 more
wiley   +1 more source

Artificial intelligence-based photographic detection of pink esthetic score attributes using a hybrid deep learning segmentation pipeline: a method development study. [PDF]

Sci Rep
Ibrahim M, Adayil GG, Hany N, Emad N, Hosny MM.   +4 more
europepmc   +1 more source