Deep learning model for the automated detection and classification of central canal and neural foraminal stenosis upon cervical spine magnetic resonance imaging.

Background: A deep learning (DL) model that can automatically detect and classify cervical canal and neural foraminal stenosis using cervical spine magnetic resonance imaging (MRI) can improve diagnostic accuracy and efficiency.

Methods: A method comprising region-of-interest (ROI) detection and cascade prediction was formulated for diagnosing cervical spinal stenosis based on a DL model. First, three part-specific convolutional neural networks were employed to detect the ROIs in different parts of the cervical MR images.

Analysis of the Aging-Related AP2/ERF Transcription Factor Gene Family in .

Ethylene-Responsive Factor (ERF) is a key element found in the middle and lower reaches of the ethylene signal transduction pathway. It is widely distributed in plants and plays important roles in plant growth and development, hormone signal transduction, and various stress processes. Although there is research on AP/ERF family members, research on AP2/ERF in is lacking.

Composite Object Relation Modeling for Few-Shot Scene Recognition.

The goal of few-shot image recognition is to classify different categories with only one or a few training samples. Previous works of few-shot learning mainly focus on simple images, such as object or character images. Those works usually use a convolutional neural network (CNN) to learn the global image representations from training tasks, which are then adapted to novel tasks.

Polymorphisms in 5' proximal regulating region of gene are associated with fat production in pigs.

Chinese and imported pig breeds differ in fat production potential, which is associated with the polymorphisms in the 5' proximal regulating region (5'PRR) of thyroid hormone responsive gene (). In three Chinese breeds (Dingyuan, CDY; Wannanhua, CWH; and Jixi, CJX) and one introduced breed (Yorkshire, YKS), three variant sites were located at T/C-400, A/G-376, and G/A-98 in the 5'PRR. Chinese pig breeds had higher - allele frequencies than YKS.

Scene Recognition with Prototype-agnostic Scene Layout.

Exploiting the spatial structure in scene images is a key research direction for scene recognition. Due to the large intra-class structural diversity, building and modeling flexible structural layout to adapt various image characteristics is a challenge. Existing structural modeling methods in scene recognition either focus on predefined grids or rely on learned prototypes, which all have limited representative ability.

SSR marker development in Clerodendrum trichotomum using transcriptome sequencing.

Clerodendrum trichotomum, a member of the Lamiaceae (Verbenaceae) family, is an ornamental plant widely distributed in South Asia. Previous studies have focused primarily on its growth characteristics, stress resistance, and pharmacological applications; however, molecular investigations remain limited. Considering germplasm conservation and the extensive applications of this plant, it is necessary to explore transcriptome resources and SSR makers for C.

The chromosome-level quality genome provides insights into the evolution of the biosynthesis genes for aroma compounds of .

Sweet osmanthus () is a very popular ornamental tree species throughout Southeast Asia and USA particularly for its extremely fragrant aroma. We constructed a chromosome-level reference genome of . to assist in studies of the evolution, genetic diversity, and molecular mechanism of aroma development.

Transcriptomic Analysis of the Candidate Genes Related to Aroma Formation in .

, or "RiXiangGui", is an ornamental, woody, evergreen plant that is cultivated widely because it blooms recurrently and emits a strong fragrance. Recently, the germplasm resources, classification, and aroma compositions of . have been investigated.