Results 141 to 150 of about 97,965 (296)

From Origami to Bistable and Laminate Structures: A Review for Multifunctional Applications from Structural Perspective of Shape‐Changing Structures

Advanced Intelligent Systems, EarlyView.
This review explores how shape‐changing structures—origami, bistable, and laminate structures—enable multifunctionality in soft robotics and metamaterials. Starting from structural design, it examines core principles, real‐world applications, and ongoing challenges.
Lingchen Kong, Yaoyao Fiona Zhao
wiley   +1 more source

The Diverse Landscape of Fascial Manual Medicine. [PDF]

Cureus
Bordoni B.
europepmc   +1 more source

Design Challenges to Expand the Functionality of Drones: Deformable Rotorcraft and Nature‐Inspired Flapping Drones

Advanced Intelligent Systems, EarlyView.
This review systematically analyzes deformable drones, including extendable, foldable, and tilting configurations, along with nature‐inspired flapping rotorcraft. By classifying deformation principles and structural mechanisms, design trade‐offs, functional capabilities, and future development potential are highlighted.
Ju‐Hee Lee, Sumin Jung, Jinwoo Jang, Yeji Han, Minchae Kang, Jihun Seong, Suyeon Seo, Eunsol Park, Haesol Kwak, Min‐Woo Han   +9 more
wiley   +1 more source

Comment on "Predatory Publishing Awareness Among Dental Interns in Riyadh, Saudi Arabia: A Cross-Sectional Study" [Response to Letter]. [PDF]

Adv Med Educ Pract
Alkadi L, Aldghim A, Farook FF, Alfadley A, Jamleh A.   +4 more
europepmc   +1 more source

Unsupervised Topic Modeling in a Large Free Text Radiology Report Repository

Journal of digital imaging, 2016
S. Hassanpour, C. Langlotz
semanticscholar   +1 more source

Predicting Materials Thermodynamics Enabled by Large Language Model‐Driven Dataset Building and Machine Learning

Advanced Intelligent Systems, EarlyView.
Illustration of text data mining of rare earth mineral thermodynamic parameters with the large language model‐powered LMExt. A dataset is built with mined thermodynamic properties. Subsequently, a machine learning model is trained to predict formation enthalpy from the dataset.
Juejing Liu, Haydn Anderson, Noah I. Waxman, Vsevolod Kovalev, Byron Fisher, Elizabeth Li, Xiaofeng Guo   +6 more
wiley   +1 more source

Frozen shoulder: exploration of terminology and classification

Frontiers in Rehabilitation Sciences
Fabrizio Brindisino, Elif Turgut, Filip Struyf   +2 more
doaj   +1 more source

Knowledge mobilization with and for equity-deserving communities invested in research: A scoping review protocol. [PDF]

PLoS One
Barhouche R, Tse S, Inglis F, Chaves D, Allison E, Colaco T, Morton Ninomiya ME.   +6 more
europepmc   +1 more source

Effects of Language and Terminology on the Usage of Health Query Suggestions

Conference and Labs of the Evaluation Forum, 2016
C. Lopes, Cristina Ribeiro
semanticscholar   +1 more source

SciLitMiner: An Intelligent System for Scientific Literature Mining and Knowledge Discovery

Advanced Intelligent Systems, EarlyView.
SciLitMiner is an intelligent system that federately ingests scientific literature, filters it using advanced information retrieval methods, and applies retrieval‐augmented generation tailored to scientific domains. Demonstrated on creep deformation in γ‐TiAl alloys, SciLitMiner provides a controlled workflow for systematic knowledge discovery and ...
Vipul Gupta, Jonathan David Heaton Paul, Ingo Schmitt, Florian Pyczak   +3 more
wiley   +1 more source