AIMC Topic: Energy Transfer

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Reticular-Induced Energy Transfer Driven Renewable ECL System with Machine Learning for Glioma-Specific Dual-Biomarker Detection and Expression Correlation Mechanism.

Analytical chemistry
Rapid, accurate, and renewable electrochemiluminescence (ECL) bioassays are crucial for multiplexed biomarker detection. Integrated with efficient analytical model for processing sensing data, these tools enable precise differentiation of tumor stage...

Dynamics and energetics of dual-spring force couples in torque reversal systems.

Bioinspiration & biomimetics
Latch-mediated spring actuation systems leverage the interplay of springs and latches to rapidly accelerate a load. In biological systems, elastic energy is often distributed across multiple structures, resulting in forces applied from multiple sprin...

Predicting the future of excitation energy transfer in light-harvesting complex with artificial intelligence-based quantum dynamics.

Nature communications
Exploring excitation energy transfer (EET) in light-harvesting complexes (LHCs) is essential for understanding the natural processes and design of highly-efficient photovoltaic devices. LHCs are open systems, where quantum effects may play a crucial ...

Stray energy transfer in single-incision robotic surgery.

Surgical endoscopy
INTRODUCTION: Stray energy transfer from surgical monopolar radiofrequency energy instruments can cause unintended thermal injuries during laparoscopic surgery. Single-incision laparoscopic surgery transfers more stray energy than traditional laparos...

Fully tuned RBF neural network controller for ultrasound hyperthermia cancer tumour therapy.

Network (Bristol, England)
Thermal dose is an important clinical efficacy index for hyperthermia cancer treatment. This paper presents a new direct radial basis function (RBF) neural network controller for high-temperature hyperthermia thermal dose during the therapeutic proce...

Biarticular elements as a contributor to energy efficiency: biomechanical review and application in bio-inspired robotics.

Bioinspiration & biomimetics
Despite the increased interest in exoskeleton research in the last decades, not much progress has been made on the successful reduction of user effort. In humans, biarticular elements have been identified as one of the reasons for the energy economy ...

The effect of leg compliance in multi-directional jumping of a flea-inspired mechanism.

Bioinspiration & biomimetics
Inspired by the relationship between leg compliance and jumping performance in the false stick insect, this paper describes how variations in leg compliance and jumping direction affect the performance of a flea-inspired jumping mechanism. The amount...

Machine Learning Prediction of the Energy Gap of Graphene Nanoflakes Using Topological Autocorrelation Vectors.

ACS combinatorial science
The possibility of band gap engineering in graphene opens countless new opportunities for application in nanoelectronics. In this work, the energy gaps of 622 computationally optimized graphene nanoflakes were mapped to topological autocorrelation ve...

Evaluation of the Achilles Ankle Exoskeleton.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
This paper evaluates the Achilles exoskeleton. The exoskeleton is intended to provide push-off assistance for healthy subjects during walking. The assistance is provided by a series elastic actuator that has been optimized to provide maximal push-off...

Energetic analysis and experiments of earthworm-like locomotion with compliant surfaces.

Bioinspiration & biomimetics
The energy consumption of worm robots is composed of three parts: heat losses in the motors, internal friction losses of the worm device and mechanical energy locomotion requirements which we refer to as the cost of transport (COT). The COT, which is...