Results 211 to 220 of about 1,830,098 (281)

Generating Planar Trajectories for Neptunian System Exploration Using Motion Primitives. [PDF]

J Astronaut Sci
Miceli GE, Bosanac N.
europepmc   +1 more source

Region‐to‐Region Unidirectional Connection In Vitro Brain Model for Studying Directional Propagation of Neuropathologies

Advanced Functional Materials, EarlyView.
A unidirectional cerebral organoid–organoid neural circuit is established using a microfluidic platform, enabling controlled directional propagation of electrical signals, neuroinflammatory cues, and neurodegenerative disease–related proteins between spatially separated organoids.
Kyeong Seob Hwang, Hui‐Wen Liu, Hyogeun Shin, Hyun Wook Kang, Minjin Kang, Jongbaeg Kim, Il‐Joo Cho, Nakwon Choi, Seok Chung, Hong Nam Kim   +9 more
wiley   +1 more source

QLSA-MOEAD integration for precision task scheduling in heterogeneous computing environments. [PDF]

Sci Rep
Saad A, Abd El-Raouf O, Hadhoud M, Kafafy A.   +3 more
europepmc   +1 more source

Magnetic and Structural Response Tuned by Coexisting Mn Concentration‐Dependent Phases in MnBi2Te4 Thin Film Grown on GaAs(001) by Molecular Beam Epitaxy

Advanced Functional Materials, EarlyView.
The study explores structural and magnetic properties of one of the most recent topological quantum materials (MnBi2Te4). The Mn‐poor structure leads to stacking faults (quintuple layer ‐ QL of Bi2Te3 formation instead of a septuple layer ‐ SL of MnBi2Te4), resulting in a coexistence between weak antiferromagnetism and ferromagnetism.
Wesley F. Inoch, Sergio L. A. Mello, Gilberto Rodrigues‐Junior, Sukarno O. Ferreira, Marcelo M. Sant'Anna, Benjamin R. Salles, Mateus T. Souza, Sérgio L. Morelhão, Maybi F. Sampaio, Bráulio S. Archanjo, Leonarde N. Rodrigues   +10 more
wiley   +1 more source

Rapid directed evolution guided by protein language models and epistatic interactions. [PDF]

Science
Tran VQ, Nemeth M, Bartie LJ, Chandrasekaran SS, Fanton A, Moon HC, Hie BL, Konermann S, Hsu PD.   +8 more
europepmc   +1 more source

Reconfigurable Magnetic Soft Microrobot for Acoustically Triggered Targeted Bacterial Sterilization

Advanced Functional Materials, EarlyView.
Reconfigurable magnetic soft microrobots integrate in situ‐grown piezoelectric zinc oxide nanorods that produce reactive oxygen species upon acoustic excitation. Combining magnetically guided transport with thermally induced planar reconfiguration, the microrobots achieve targeted delivery and enhanced bacterial sterilization through efficient on ...
Quan Gao, Fan Li, Jiajie Gao, Elric Zhang, Yingdong Su, Ni Qin, Hao Ye, Josep Puigmartí, Giuseppe Cantarella, Simone Schuerle, Jiang Wu, Bradley J. Nelson, Salvador Pané   +12 more
wiley   +1 more source

Visual Search Behavior During Toileting in Older Patients During the Action-Planning Stage. [PDF]

J Funct Morphol Kinesiol
Sato L, Noguchi N, Byambadorj M, Kondo K, Akiyama R, Lee B.   +5 more
europepmc   +1 more source

Three‐dimensional Antimony Sulfide Based Flat Optics

Advanced Functional Materials, EarlyView.
This work presents the development of a grayscale electron beam lithography (g‐EBL) method for fabricating antimony trisulfide (Sb2S3) nanostructures with customizable 3D profiles. The refractive index of g‐EBL patterned Sb2S3 is determined based on the synergy of genetic algorithm and transfer matrix method.
Wei Wang, Uwe Hübner, Anne Gärtner, Tao Chen, Joseph Köbel, Franka Jahn, Daniel Repp, Abhrodeep Dey, Henrik Schneidwind, Andrea Dellith, Jan Dellith, Torsten Wieduwilt, Matthias Zeisberger, Tanveer Ahmed Shaik, Astrid Bingel, Markus A. Schmidt, Jer‐Shing Huang, Ulf Peschel, Volker Deckert   +18 more
wiley   +1 more source

Complications of catheter-directed interventions in acute pulmonary embolism: a narrative expert review with guidance on management. [PDF]

Cardiovasc Diagn Ther
García-Martí G, Velázquez Martín M, Maneiro Melón N, Salinas P.   +3 more
europepmc   +1 more source

Smarter Sensors Through Machine Learning: Historical Insights and Emerging Trends across Sensor Technologies

Advanced Functional Materials, EarlyView.
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee, Osman Gul, Yeongjae Kwon, Jaeseok Jeong, Seokjoo Cho, Jihyeon Ahn, Jehee Yu, Cheolmin Kim, Donho Lee, Hyeonseok Han, Byeongju Lee, Jungrak Choi, Ji‐Hwan Ha, Yongrok Jeong, Kyungnam Kang, Ali Javey, Junseong Ahn, Inkyu Park   +17 more
wiley   +1 more source