A multidimensional adaptive transformer network for fatigue detection.

Variations in information processing patterns induced by operational directives under varying fatigue conditions within the cerebral cortex can be identified and analyzed through electroencephalogram (EEG) signals. The inherent complexity of EEG signals poses significant challenges in the effective detection of driver fatigue across diverse task scenarios. Recent advancements in deep learning, particularly the Transformer architecture, have shown substantial benefits in the retrieval and integration of multi-dimensional information.

Molecular cloning, characterization and expression analysis of two juvenile hormone esterase-like carboxylesterase cDNAs in Chinese mitten crab, Eriocheir sinensis.

Precise regulation of methyl farnesoate (MF) titer is of prime importance throughout the crustacean life-cycle. Although the synthetic pathway of MF is well-documented, little is known about its degradation and recycling in crustaceans. Juvenile hormone esterase-like (JHE-like) carboxylesterase (CXE) is a key enzyme in MF degradation, thus playing a significant role in regulating the MF titer.

Transcriptome profiling of the eyestalk of precocious juvenile Chinese mitten crab reveals putative neuropeptides and differentially expressed genes.

Chinese mitten crabs that reach maturity 1 year earlier than normal crabs are known as precocious juvenile crabs. The molecular mechanisms underlying the precocity of the Chinese mitten crab are poorly understood. To identify the genes that may be involved in the control of precocity in Chinese mitten crab, we measured the expression profile of eyestalk genes in precocious and normally developed juvenile crabs using high-throughput sequencing on an Illumina HiSeq 2500 platform.