AIMC Topic: Animals

Clear Filters Showing 351 to 360 of 8866 articles

Fusion of crayfish optimization algorithm and MNS-YOLO for solar cell defect detection.

PloS one
Inspection and diagnosis of construction projects involves health monitoring of buildings and related facilities, and the utilization of renewable energy sources, such as solar energy, is critical to the smooth operation of modern construction projec...

Flight and Floral Acoustic Signals for Bee Species Identification.

Neotropical entomology
Animal identification is pivotal for ecological studies, yet automated recognition tools for bee species remain underexplored. Here, we present a machine learning approach using a Random Forest algorithm to identify five bee species representing thre...

Spatial proteomics for investigating solid tumor resistance mechanisms.

Cancer metastasis reviews
Spatial proteomics technologies have been pivotal in profiling tumor immune microenvironments at single-cell resolution, advancing our understanding of cancer biology, identifying key cell populations in solid tumors, and predicting treatment respons...

Overcoming resistance to anti-PD-L1 immunotherapy: mechanisms, combination strategies, and future directions.

Molecular cancer
Cancer cells express high levels of programmed cell death-ligand 1 (PD-L1) to evade immune surveillance. PD-L1 interacts with PD-1 on T cells to make them non-functional. Thus, PD-L1 and PD-1 are pivotal targets in cancer immunotherapy. While anti-PD...

Statistical characterization of cortical-thalamic dynamics evoked by cortical stimulation in mice.

Journal of neural engineering
Statistical models are powerful tools for describing biological phenomena such as neuronal spiking activity. Although these models have been widely used to study spontaneous and stimulated neuronal activity, they have not yet been applied to analyze ...

Behavioral Timing of Interictal Spikes, But Not Rate, Correlates with Impaired Working Memory Performance.

The Journal of neuroscience : the official journal of the Society for Neuroscience
In temporal lobe epilepsy, interictal spikes (IS)-hyper-synchronous bursts of network activity-occur at high rates in between seizures. We sought to understand the influence of IS on working memory by recording hippocampal local field potentials from...

DeepRNA-Reg: a deep-learning based approach for comparative analysis of CLIP experiments.

RNA biology
DeepRNA-Reg employs advances in deep learning to enable high-fidelity comparative analysis of paired datasets of high-throughput sequencing of RNA isolated by crosslinking immunoprecipitation (HITS-CLIP). In a HITS-CLIP experimental paradigm where Ag...

Biologically grounded neocortex computational primitives implemented on neuromorphic hardware improve vision transformer performance.

Proceedings of the National Academy of Sciences of the United States of America
Understanding the computational principles of the brain and translating them into neuromorphic hardware and modern deep learning architectures is critical for advancing neuro-inspired AI (NeuroAI). Here, we develop an experimentally constrained, biop...

Deciphering the determinants of recombinant protein expression across the human secretome.

Proceedings of the National Academy of Sciences of the United States of America
Protein secretion is an essential process of mammalian cells. In biomanufacturing, this process can be optimized to enhance production yields and biotherapeutic quality. While cell line engineering and bioprocess optimization have yielded high protei...

A ternary-code DNA methylome atlas of mouse tissues.

Genome biology
BACKGROUND: DNA cytosine modifications, including 5-methylcytosine (5mC) and 5-hydroxymethylcytosine (5hmC), are key epigenetic regulators with distinct functions. Dissecting the ternary code (C, 5mC, 5hmC) across tissues and cell types remains a cri...