For the time being, there are many groundbreaking object detection frameworks used in
natural scene images. These algorithms have good detection performance on the data sets of …

Few-shot Class-incremental Audio Classification (FCAC) is a task to continuously identify
incremental classes with only few training samples after training the model on base classes …

It's assumed that training data is sufficient in base session of few-shot class-incremental audio
classification. However, it's difficult to collect abundant samples for model training in base …

The role of metabolic syndrome (MetS) on psoriasis has been explored only in observational
studies. We conducted this bidirectional Mendelian randomization (MR) to clarify the causal …

In the problem of Few-shot Class-incremental Audio Classification (FCAC), training samples
per class in the base session are required to be abundant. However, in many scenarios, it is …

This work is an improved system that we submitted to task 1 of DCASE2023 challenge. We
propose a method of low-complexity acoustic scene classification by a parallel attention-…

To prevent carbon/carbon (C/C) composites from oxidation, a Si–SiC coating has been
prepared by a two-step pack cementation technique. X-ray diffraction (XRD) and scanning …

To understand the resistance risks of Frankliniella occidentalis Pergande against phoxim,
this paper studied the resistance mechanisms of phoxim-resistant F. occidentalis population …

Objective To investigate the effects of Niuhuang (Bovis Calculus, BC) and Shexiang (Moschus)
(BC-Moschus) on human hepatocellular carcinoma (HCC) cells SMMC-7721 and a nude …

Background Previous studies report that various single nucleotide polymorphisms (SNP) in
the Disrupted-in Schizophrenia 1 (DISC1) gene are closely associated with schizophrenia, …