AIMC Topic: Animals

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Machine-Learning-Based Prediction of Cell-Penetrating Peptides and Their Uptake Efficiency with Improved Accuracy.

Journal of proteome research
Cell-penetrating peptides (CPPs) can enter cells as a variety of biologically active conjugates and have various biomedical applications. To offset the cost and effort of designing novel CPPs in laboratories, computational methods are necessitated to...

Optimization of goose breast meat tenderness by rapid ultrasound treatment using response surface methodology and artificial neural network.

Animal science journal = Nihon chikusan Gakkaiho
The aim of this study was to develop a prediction model on tenderization of goose breast meat by response surface methodology (RSM) and artificial neural network (ANN). The experiments were operated on the basis of a three-level, three-variable (ultr...

A Novel Morphological Marker for the Analysis of Molecular Activities at the Single-cell Level.

Cell structure and function
For more than a century, hematoxylin and eosin (H&E) staining has been the de facto standard for histological studies. Consequently, the legacy of histological knowledge is largely based on H&E staining. Due to the recent advent of multi-photon excit...

Soft Biomimetic Fish Robot Made of Dielectric Elastomer Actuators.

Soft robotics
This article presents the design, fabrication, and characterization of a soft biomimetic robotic fish based on dielectric elastomer actuators (DEAs) that swims by body and/or caudal fin (BCF) propulsion. BCF is a promising locomotion mechanism that p...

Recent applications of machine learning in medicinal chemistry.

Bioorganic & medicinal chemistry letters
In recent decades, artificial intelligence and machine learning have played a significant role in increasing the efficiency of processes across a wide spectrum of industries. When it comes to the pharmaceutical and biotechnology sectors, numerous too...

Neuromorphic computing with multi-memristive synapses.

Nature communications
Neuromorphic computing has emerged as a promising avenue towards building the next generation of intelligent computing systems. It has been proposed that memristive devices, which exhibit history-dependent conductivity modulation, could efficiently r...

Spiking networks as efficient distributed controllers.

Biological cybernetics
In the brain, networks of neurons produce activity that is decoded into perceptions and actions. How the dynamics of neural networks support this decoding is a major scientific question. That is, while we understand the basic mechanisms by which neur...

Detection of Cattle Using Drones and Convolutional Neural Networks.

Sensors (Basel, Switzerland)
Multirotor drones have been one of the most important technological advances of the last decade. Their mechanics are simple compared to other types of drones and their possibilities in flight are greater. For example, they can take-off vertically. Th...

Modeling of dielectric elastomer oscillators for soft biomimetic applications.

Bioinspiration & biomimetics
Biomimetic, entirely soft robots with animal-like behavior and integrated artificial nervous systems will open up totally new perspectives and applications. However, until now, most presented studies on soft robots were limited to only partly soft de...

Achieving bioinspired flapping wing hovering flight solutions on Mars via wing scaling.

Bioinspiration & biomimetics
Achieving atmospheric flight on Mars is challenging due to the low density of the Martian atmosphere. Aerodynamic forces are proportional to the atmospheric density, which limits the use of conventional aircraft designs on Mars. Here, we show using n...