Results 81 to 90 of about 1,432 (191)

Human‐in‐the‐Loop Swarms: A Bionic Swarm Approach to Real‐World Soil Mapping

Advanced Intelligent Systems, EarlyView.
This article introduces the “Bionic Swarm,” a novel system that lowers the barriers to real‐world swarm validation by abstracting difficult hardware tasks to app‐guided human agents. We demonstrate the system's utility through the experimental validation of a geotechnical soil‐mapping swarm algorithm and show superior performance to baseline approaches
Petras Swissler, Mohammadali Rashidioun, Nicholas Sahu, Raaid Kabir, Ayodeji Aderibigbe, Oladoyin Kolawole   +5 more
wiley   +1 more source

Quantification of Appetitive and Mechanical Aversive Associative Learning Paradigms in Drosophila via a Y-maze Assay. [PDF]

Curr Protoc
Mabry SJ, Malgireddy T, Sarkissian S, Saleeby DP, Freyberg Z.   +4 more
europepmc   +1 more source

Small‐Scale Magnetic Peristaltic Soft Robot With Mobility and Transport Capabilities

Advanced Intelligent Systems, EarlyView.
This study introduces a miniature, untethered soft magnetic microrobot with peristaltic capabilities for both locomotion and cargo transport. Eight helically magnetized elastomeric strips deform under rotating fields (10–80 mT, 1–5 Hz), enabling movement across rods and lumina at up to 4.1 body lengths min‐¹.
Mohammad Hasan Dad Ansari, Linda Paternò, Chenjun Wu, Veronica Iacovacci, Arianna Menciassi   +4 more
wiley   +1 more source

Hyperpolarization of Pyridine 15N‐Oxide Molecular Probes Enabled by Parahydrogen

Angewandte Chemie, EarlyView.
Pyridine 15N‐oxides are introduced as motifs for hyperpolarization studies and biochemical applications are demonstrated. ABSTRACT Magnetic resonance (MR) is a powerful non‐invasive technique for probing structural, functional, and metabolic processes with high spatial and temporal resolution.
Ruhuai Mei, Lisa Maria Fries, Gonzalo Gabriel Rodriguez, Charlotte von Petersdorff‐Campen, Leander Konstantin May, Julius Frederik Matz, Sergey Korchak, Grysette Daher, Stefan Glöggler   +8 more
wiley   +2 more sources

Comparisons of angular momentum at takeoff in six types of jumps in women's figure skating. [PDF]

Front Sports Act Living
Yamaguchi M, Sakurai S.
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

Defect‐Rich CoNi Prussian Blue Analogues Enable Highly Selective Electrochemical Hydrogen Peroxide Production

Angewandte Chemie, EarlyView.
Introducing [Co(CN)6]3− defects into CoNi Prussian Blue analogues exposes square‐planar Ni–N4 active sites, leading to remarkable H2O2 selectivity during the electrochemical oxygen reduction reaction in alkaline media. ABSTRACT Decentralized electrosynthesis of hydrogen peroxide (H2O2) via the two‐electron oxygen reduction reaction (2e− ORR) offers a ...
Kai Sun, Yu Mao, Yongfang Zhou, Ziyun Wang, Geoffrey I. N. Waterhouse   +4 more
wiley   +2 more sources

Surface-based manipulation with modular foldable robots. [PDF]

Npj Robot
Wang Z, Demirtas S, Zuliani F, Paik J.
europepmc   +1 more source

Stochastic Locomotion Emerging From Body–Environment Interactions in a Mexican Jumping Bean–Inspired Robot

Advanced Intelligent Systems, EarlyView.
Inspired by the Mexican jumping bean, this study presents a centimeter‐scale, electronics‐free robot that merges principles from both the animal and plant kingdoms. A thermo‐responsive actuator mimicking larval motion, enclosed within a uniquely shaped plant‐seed‐inspired shell, generates jumping, rolling, flipping, sliding, and climbing through ...
Ragesh Chellattoan, Alessio Mondini, Edoardo Sinibaldi, Barbara Mazzolai   +3 more
wiley   +1 more source

Deep Learning Enables Identification of Antimicrobial Peptides Through Mechanochromic Fingerprints

Angewandte Chemie, EarlyView.
We demonstrate a new platform for antimicrobial peptide identification by combining polydiacetylene, hyperspectral imaging, and deep learning. The trained model classifies distinct spectral fingerprints into 14 peptide classes with 96.79% accuracy, revealing previously hidden molecular information beyond conventional colorimetric sensing.
Jiali Chen, Che‐Lun Chin, Qingzhen Zhu, Ling Chao, Kaori Sugihara   +4 more
wiley   +2 more sources