Results 181 to 190 of about 12,266 (268)

Materials Representation Learning Based on a Material–Motif Network and Heterogeneous Graphs

Advanced Intelligent Discovery, EarlyView.
Structure motifs in materials are used to construct a bipartite material–motif network that links each material to its constituent motifs and establishes connectivity among materials sharing common motifs. Network analysis reveals material clusters associated with different functional applications and supports motif‐guided screening of materials.
Anoj Aryal, Weiyi Gong, Huta Banjade, Qimin Yan   +3 more
wiley   +1 more source

Arrhythmogenic mitral valve prolapse and mitral annular disjunction: a literature review and case-based perspective. [PDF]

Front Cardiovasc Med
Markevičiūtė A, Kmitaitė S, Vaitiekienė A, Rinkūnienė D.   +3 more
europepmc   +1 more source

Collaborative Visual Localization for Modular Self‐Reconfigurable Robots

Advanced Intelligent Systems, EarlyView.
Relative localization in modular self‐reconfigurable robots is challenged by hardware limitations, constrained fields of view, and sensor faults. This paper, based on the SnailBot platform, presents a vision‐based collaborative localization method that combines ArUco markers with learning‐based algorithms to enable robust pose estimation from ...
Guanqi Liang, Rong Ou, Peiqi Wang, Xianghong Wang, Tin Lun Lam   +4 more
wiley   +1 more source

Mitral Annular Disjunction and Arrhythmic Risk: Case Series and State of the Art. [PDF]

Biomedicines
Varrenti M, Bonvicini E, Milillo LF, Garofani I, Gigli L, Baroni M, Preda A, Carbonaro M, Menè R, Colombo G, Frontera A, Falco R, Giordano F, Vargiu S, Guarracini F, Pedrotti P, Giannattasio C, Mazzone P.   +17 more
europepmc   +1 more source

Programmable Flocks: Hierarchical Swarm Control via Dynamic Parameter Injection

Advanced Intelligent Systems, EarlyView.
We present a method for the control of robot swarms which allows the shaping and the translation of patterns of simple robots (“smart particles”), using two types of devices. These two types represent a hierarchy: a larger group of simple, oblivious robots (which we call the workers) that is governed by simple local attraction forces and a smaller ...
Vivek Shankar Varadharajan, Giovanni Beltrame   +1 more
wiley   +1 more source

Mitral Annular Disjunction: A Roadmap for the Surgeon. [PDF]

Eur J Cardiothorac Surg
Bonaros N, Gollmann-Tepeköylü C, Palmen M, Ajmone N, Delgado V, Garbi M, Mayr A, Pölzl L, Marin-Cuartas M, Ascione G, Azzola Guicciardi N, Troger F, Pereda D, Klautz R, De Bonis M, Borger MA, Perier P.   +16 more
europepmc   +1 more source

A Language‐Guided Multimodal Foundation Model for Zero‐Shot and Multi‐Task Brain Signal Analysis

Advanced Intelligent Systems, EarlyView.
METIS aligns brain signals with natural‐language instructions to enable zero‐shot and multi‐task brain signal analysis. Pretrained on over 70 000 h of EEG and iEEG recordings, it generalizes across sleep stage classification, epilepsy detection, and neurological disorder diagnosis, providing a scalable foundation model for clinically meaningful brain ...
Mingzhi Chen, Yiyu Gui, Guibo Luo, Yuchao Yang   +3 more
wiley   +1 more source

Dorsal midline ectopic mammary tissue as a cutaneous marker of spinal dysraphism: intradural lipoma and tethered cord in a child with literature review. [PDF]

Childs Nerv Syst
Alcazar P, Person H, Di Rocco F, Boudy L, de Laurentis C, Picard C, Vasiljevic A, Szathmari A, Beuriat PA.   +8 more
europepmc   +1 more source

Low‐Voltage Operation of IGZO Memtransistors Enabled by Coupling Enhancement Through 2T Drain‐Driven Operation for Neuromorphic Computing

Advanced Intelligent Systems, EarlyView.
A two‐terminal IGZO memtransistor enabling low‐voltage operation is demonstrated through coupling enhancement. By utilizing drain‐induced Fowler–Nordheim tunneling, the device achieves programming below 10 V with a large memory window and high on/off ratio.
Junhyeong Park, Sunyeol Bae, Yumin Yun, Chae‐Hwan Park, Donghyeon Lee, Soo‐Yeon Lee   +5 more
wiley   +1 more source

Who Owns the Output? Authorship, Creative Labour, and Innovation Capability in Human‐AI Collaboration

AI &Innovation, EarlyView.
ABSTRACT Generative AI is radically transforming how creative authorship is understood, attributed, and governed across the world’s cultural and creative industries. As AI systems increasingly produce outputs that organisations and audiences recognise as creative, foundational assumptions about who authors creative work, who receives credit for it, and
Ololade A. Shonubi
wiley   +1 more source