Development and key technologies of pure electric construction machinery
T Lin, Y Lin, H Ren, H Chen, Q Chen, Z Li - Renewable and Sustainable …, 2020 - Elsevier
With global warming and the energy crisis becoming more serious, the emission regulations
for construction machinery (CM) are increasingly strict. The pure electric drive system is an …
for construction machinery (CM) are increasingly strict. The pure electric drive system is an …
Explainable deep hypergraph learning modeling the peptide secondary structure prediction
Accurately predicting peptide secondary structures remains a challenging task due to the
lack of discriminative information in short peptides. In this study, PHAT is proposed, a deep …
lack of discriminative information in short peptides. In this study, PHAT is proposed, a deep …
A double variable control load sensing system for electric hydraulic excavator
T Lin, Y Lin, H Ren, H Chen, Z Li, Q Chen - Energy, 2021 - Elsevier
Traditional electric excavator only uses the electric machine to replace the engine and
simulate its original working mode, which will not give full play to the advantages of the electric …
simulate its original working mode, which will not give full play to the advantages of the electric …
Stationary response of Duffing oscillator with hardening stiffness and fractional derivative
L Chen, W Wang, Z Li, W Zhu - International Journal of Non-Linear …, 2013 - Elsevier
The stationary response of Duffing oscillator with hardening stiffness and fractional derivative
under Gaussian white noise excitation is studied. First, the term associated with fractional …
under Gaussian white noise excitation is studied. First, the term associated with fractional …
Accelerating bioactive peptide discovery via mutual information-based meta-learning
Recently, machine learning methods have been developed to identify various peptide bio-activities.
However, due to the lack of experimentally validated peptides, machine learning …
However, due to the lack of experimentally validated peptides, machine learning …
CACPP: a contrastive learning-based Siamese network to identify anticancer peptides based on sequence only
Anticancer peptides (ACPs) recently have been receiving increasing attention in cancer therapy
due to their low consumption, few adverse side effects, and easy accessibility. However, …
due to their low consumption, few adverse side effects, and easy accessibility. However, …
MVIL6: Accurate identification of IL-6-induced peptides using multi-view feature learning
Interleukin-6 (IL-6) is a potential therapeutic target for many diseases, and it is of great
significance in accurately predicting IL-6-induced peptides for IL-6 research. However, the cost of …
significance in accurately predicting IL-6-induced peptides for IL-6 research. However, the cost of …
Genes with de novo mutations are shared by four neuropsychiatric disorders discovered from NPdenovo database
Currently, many studies on neuropsychiatric disorders have utilized massive trio-based
whole-exome sequencing (WES) and whole-genome sequencing (WGS) to identify numerous de …
whole-exome sequencing (WES) and whole-genome sequencing (WGS) to identify numerous de …
PLPMpro: Enhancing promoter sequence prediction with prompt-learning based pre-trained language model
The promoter region, positioned proximal to the transcription start sites, exerts control over
the initiation of gene transcription by modulating the interaction with RNA polymerase. …
the initiation of gene transcription by modulating the interaction with RNA polymerase. …
[HTML][HTML] iDNA-ABF: multi-scale deep biological language learning model for the interpretable prediction of DNA methylations
In this study, we propose iDNA-ABF, a multi-scale deep biological language learning model
that enables the interpretable prediction of DNA methylations based on genomic sequences …
that enables the interpretable prediction of DNA methylations based on genomic sequences …