Research on multi-object detection technology for road scenes based on SDG-YOLOv5.

To resolve the challenges of low detection accuracy and inadequate real-time performance in road scene detection, this article introduces the enhanced algorithm SDG-YOLOv5. The algorithm incorporates the SIoU Loss function to accurately predict the angle loss of bounding boxes, ensuring their directionality during regression and improving both regression accuracy and convergence speed. A novel lightweight decoupled heads (DHs) approach is employed to separate the classification and regression tasks, thereby avoiding conflicts between their focus areas.

[Retracted] microRNA‑363‑3p inhibits cell growth and invasion of non‑small cell lung cancer by targeting HMGA2.

Following the publication of this paper, it was drawn to the Editor's attention by a concerned reader that certain of the data shown for the Transwell cell migration and invasion assays in Figs. 2C and 4C were strikingly similar to data appearing in different form in another article by different authors at a different research institution. Owing to the fact that the contentious data in the above article were under consideration for publication elsewhere at a similar time to when it was submitted to , the Editor has decided that this paper should be retracted from the Journal.

Genome-Wide Identification and Comprehensive Analysis of the Gene Family in Pomegranate Fruit Development and Postharvest Preservation.

Pomegranate ( L.) is a kind of fruit with significant economic, ecological and health values. AP2/ERF transcription factors belong to a large group of factors mainly found in plants and play key roles in plant growth and development.

Positioning Performance of a Sub-Arc-Second Micro-Drive Rotary System.

In the macro/micro dual-drive rotary system, the micro-drive system compensates for the position error of the macro-drive system. To realize the sub-arc-second (i.e.

Combining targeted sequencing and ultra-low-pass whole-genome sequencing for accurate somatic copy number alteration detection.

This study investigated the feasibility of combining targeted sequencing and ultra-low-pass whole-genome sequencing (ULP-WGS) for improved somatic copy number alteration (SCNA) detection, due to its role in tumorigenesis and prognosis. Cerebrospinal fluid and matched blood samples were obtained from 29 patients with brain metastasis derived from lung cancer. Samples were subjected to targeted sequencing (genomic coverage: 300 kb) and 2×ULP-WGS.

Systematical identifications of prognostic meaningful lung adenocarcinoma subtypes and the underlying mutational and expressional characters.

Background: Lung adenocarcinoma (LUAD) is one of the most common cancer types, threatening the human health around the world. However, the high heterogeneity and complexity of LUAD limit the benefits of targeted therapies. This study aimed to identify the key prognosis impacting genes and relevant subtypes for LUAD.

Screening key lncRNAs for human lung adenocarcinoma based on machine learning and weighted gene co-expression network analysis.

Background: Lung adenocarcinoma (LUAD) accounts for a significant proportion of lung cancer and there have been few diagnostic and therapeutic targets for LUAD due to the lack of specific biomarker. The aim of this study was to identify key long non-coding RNAs (lncRNAs) for LUAD.

Methods: The lncRNA and mRNA expression profiles of a large group of patients with LUAD were obtained from The Cancer Genome Atlas (TCGA).

microRNA-363-3p inhibits cell growth and invasion of non‑small cell lung cancer by targeting HMGA2.

Lung cancer is the second most common cancer and is the leading cause of cancer-related death worldwide. For decades, increasing evidence revealed that microRNAs may contribute to non‑small cell lung cancer (NSCLC) carcinogenesis and progression and could provide novel therapeutic targets for treatments of patients with NSCLC. Accumulated studies indicate that microRNA (miR)‑363‑3p serves important roles in tumorigenesis and tumor development; however, the role of miR‑363‑3p in NSCLC is still unclear.

Endogenous microRNA-424 predicts clinical outcome and its inhibition acts as cancer suppressor in human non-small cell lung cancer.

Purpose: We examined the expression, clinical correlation and functional mechanisms of endogenous microRNA-424 (miR-424) in human non-small cell lung cancer (NSCLC).

Methods: Expression pattern of endogenous miR-424 was examined by qRT-PCR in clinical samples obtained from 233 NSCLC patients. Correlations between differential miR-424 expression level (low vs.