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The relevant research of adverse childhood experiences and "risky drinking" in children of alcoholics in China

BMC psychiatry, 2023-01, Vol.23 (1), p.34-13, Article 34

2023

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'Let's Talk About Children' family focused practice for children of parents with schizophrenia and bipolar disorder: protocol for a randomized controlled trial

BMC psychiatry, 2024-01, Vol.24 (1), p.5-5, Article 5

2024

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Prevalence and Correlates of Risky Drinking Among the Oldest-Old in China: A National Community-Based Survey

Frontiers in psychiatry, 2022-05, Vol.13, p.919888-919888

2022

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Chinese mental health workers’ family-focused practices: a cross-sectional survey

BMC health services research, 2021-06, Vol.21 (1), p.569-569, Article 569

2021

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The Personality Traits and P300 of Offspring of Parents With Alcohol Dependence Differ Depending on Current Risky Drinking: A Preliminary Case-Control Study

Frontiers in psychiatry, 2022-06, Vol.13, p.918965-918965

2022

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DeepNup: Prediction of Nucleosome Positioning from DNA Sequences Using Deep Neural Network

Genes, 2022-10, Vol.13 (11), p.1983

2022

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Spiking Neural P Systems With Communication on Request and Mute Rules

IEEE transactions on parallel and distributed systems, 2023-02, Vol.34 (2), p.734-745

2023

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The computation power of spiking neural P systems with polarizations adopting sequential mode induced by minimum spike number

Neurocomputing (Amsterdam), 2020-08, Vol.401, p.392-404

2020

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Numerical Spiking Neural P Systems

IEEE transaction on neural networks and learning systems, 2021-06, Vol.32 (6), p.2443-2457

2021

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IEEE_Xplore

Analysis of the Composition and Change of Chinese Blue and White Porcelain Pot Glaze from the Perspective of Archaeology

Mediterranean archaeology & archaeometry, 2023-12, Vol.23 (3), p.16

2023

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Spiking neural P systems with a flat maximally parallel use of rules

Journal of membrane computing, 2021-09, Vol.3 (3), p.221-231

2021

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Spiking neural P systems with target indications

Theoretical computer science, 2021-03, Vol.862, p.250-261

2021

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Simplified and yet Turing universal spiking neural P systems with polarizations optimized by anti-spikes

Neurocomputing (Amsterdam), 2020-11, Vol.414, p.255-266

2020

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Cell-like spiking neural P systems

Theoretical computer science, 2016-04, Vol.623, p.180-189

2016

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Computation power of asynchronous spiking neural P systems with polarizations

Theoretical computer science, 2019-07, Vol.777, p.474-489

2019

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Spiking Neural P Systems With Polarizations

IEEE transaction on neural networks and learning systems, 2018-08, Vol.29 (8), p.3349-3360

2018

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IEEE_Xplore

TransPPMP: predicting pathogenicity of frameshift and non-sense mutations by a Transformer based on protein features

Bioinformatics, 2022-05, Vol.38 (10), p.2705-2711

2022

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Numerical spiking neural P systems with production functions on synapses

Theoretical computer science, 2023-01, Vol.940, p.80-89

2023

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A study on a special DNA nanotube assembled from two single-stranded tiles

Nanotechnology, 2019-03, Vol.30 (11), p.115602

2019

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CAPLA: improved prediction of protein-ligand binding affinity by a deep learning approach based on a cross-attention mechanism

Bioinformatics (Oxford, England), 2023-02, Vol.39 (2)

2023

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Computational de novo protein design: From secondary to primary, then toward tertiary structures

Chem, 2023-07, Vol.9 (7), p.1625-1627

2023

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How Deepbics Quantifies Intensities of Transcription Factor-DNA Binding and Facilitates Prediction of Single Nucleotide Variant Pathogenicity With a Deep Learning Model Trained On ChIP-Seq Data Sets

IEEE/ACM transactions on computational biology and bioinformatics, 2023-03, Vol.20 (2), p.1594-1599

2023

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IEEE_Xplore

Multisource Attention-Mechanism-Based Encoder–Decoder Model for Predicting Drug–Drug Interaction Events

Journal of chemical information and modeling, 2022-12, Vol.62 (23), p.6258-6270

2022

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Identifying modifications on DNA-bound histones with joint deep learning of multiple binding sites in DNA sequence

Bioinformatics, 2022-09, Vol.38 (17), p.4070-4077

2022

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RPEMHC: improved prediction of MHC-peptide binding affinity by a deep learning approach based on residue-residue pair encoding

Bioinformatics (Oxford, England), 2024-01, Vol.40 (1)

2024

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The relevant research of adverse childhood experiences and "risky drinking" in children of alcoholics in China

'Let's Talk About Children' family focused practice for children of parents with schizophrenia and bipolar disorder: protocol for a randomized controlled trial

Prevalence and Correlates of Risky Drinking Among the Oldest-Old in China: A National Community-Based Survey

Chinese mental health workers’ family-focused practices: a cross-sectional survey

The Personality Traits and P300 of Offspring of Parents With Alcohol Dependence Differ Depending on Current Risky Drinking: A Preliminary Case-Control Study

DeepNup: Prediction of Nucleosome Positioning from DNA Sequences Using Deep Neural Network

Spiking Neural P Systems With Communication on Request and Mute Rules

The computation power of spiking neural P systems with polarizations adopting sequential mode induced by minimum spike number

Numerical Spiking Neural P Systems

Analysis of the Composition and Change of Chinese Blue and White Porcelain Pot Glaze from the Perspective of Archaeology

Spiking neural P systems with a flat maximally parallel use of rules

Spiking neural P systems with target indications

Simplified and yet Turing universal spiking neural P systems with polarizations optimized by anti-spikes

Cell-like spiking neural P systems

Computation power of asynchronous spiking neural P systems with polarizations

Spiking Neural P Systems With Polarizations

TransPPMP: predicting pathogenicity of frameshift and non-sense mutations by a Transformer based on protein features

Numerical spiking neural P systems with production functions on synapses

A study on a special DNA nanotube assembled from two single-stranded tiles

CAPLA: improved prediction of protein-ligand binding affinity by a deep learning approach based on a cross-attention mechanism

Computational de novo protein design: From secondary to primary, then toward tertiary structures

How Deepbics Quantifies Intensities of Transcription Factor-DNA Binding and Facilitates Prediction of Single Nucleotide Variant Pathogenicity With a Deep Learning Model Trained On ChIP-Seq Data Sets

Multisource Attention-Mechanism-Based Encoder–Decoder Model for Predicting Drug–Drug Interaction Events

Identifying modifications on DNA-bound histones with joint deep learning of multiple binding sites in DNA sequence

RPEMHC: improved prediction of MHC-peptide binding affinity by a deep learning approach based on residue-residue pair encoding

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