Results 131 to 140 of about 5,764,163 (288)
AI‐based tools enable rapid characterization of bacterial ultrastructure in low‐dose cryogenic transmission electron microscopy. The envelope thickness tool quantifies membrane thickness and anisotropy. The flagella module analyzes filament morphology and detects cell‐flagella contacts.
Sita Sirisha Madugula +10 more
wiley +1 more source
Payment Trees: Low Collateral Payments for Payment Channel Networks
identifier:oai:t2r2.star.titech.ac.jp ...
openaire +3 more sources
When Biology Meets Medicine: A Perspective on Foundation Models
Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu +3 more
wiley +1 more source
Multi-priority resource scheduling algorithm for payment channel networks
To alleviate the congestion of off-chain channels caused by the increasing number of transactions and the sharing of concurrent transaction payment channels, a priority game scheduling based on deadline (PGSD) algorithm was proposed for off-chain ...
WANG Xiaojie +6 more
doaj
Smart Bioinspired Material‐Based Actuators: Current Challenges and Prospects
This work gathers, in a review style, an extensive and comprehensive literature overview on the development of autonomous actuators based on synthetic materials, bringing together valuable knowledge from several studies. Furthermore, the article identifies the fundamental principles of actuation mechanisms and defines key parameters to address the size
Alejandro Palacios +4 more
wiley +1 more source
Liquidity requirements and payment delays - participant type dependent preferences [PDF]
The paper presents an analysis of the trade-offs of participants of different type between payment delay and liquidity requirement on the basis of synthetically generated data. The generation of the synthetic transaction data set for a simple RTGS system
Schulz, Christian
core
Interpretable Short‐Term Electric Load Forecasting
A temporal fusion transformer is implemented to generate day‐ahead forecasts of the hourly electrical load of a departmentbuilding at an Italian university. A forecasting performance improvement of more than 25% compared with established benchmark models and a provision of inherent robust interpretability insights reveal the potential of this model for
Alessandro Nicola +6 more
wiley +1 more source
Artificial Intelligence for Advanced Functional Materials: Progress and Emerging Frontiers
Artificial intelligence is transforming the discovery of functional materials by linking synthesis, characterization, simulation, and design in unified workflows. Advances in machine learning, autonomous experimentation, and foundation models are accelerating innovation across energy, electronics, and biomedicine, while revealing new frontiers for ...
Cristiano Malica +38 more
wiley +1 more source
How can additive manufacturing enable components that sense, adapt, heal, and power themselves? This review synthesizes recent advances in smart functionalities, manufacturing technologies, and intelligent design strategies, revealing a pathway toward fully integrated, autonomous, and multifunctional systems across diverse engineering sectors. Additive
Aiswarya Rony +3 more
wiley +1 more source
TwinX shows how a single interbody wire connecting two robots can support both integrated morphological reconfiguration and distributed wire‐mediated cooperation. When the robots dock, they reconfigure into different forms for locomotion and manipulation.
Shintaro Inoue +5 more
wiley +1 more source

