Fast-iTPN: Integrally Pre-Trained Transformer Pyramid Network With Token Migration.

We propose integrally pre-trained transformer pyramid network (iTPN), towards jointly optimizing the network backbone and the neck, so that transfer gap between representation models and downstream tasks is minimal. iTPN is born with two elaborated designs: 1) The first pre-trained feature pyramid upon vision transformer (ViT). 2) Multi-stage supervision to the feature pyramid using masked feature modeling (MFM).

Exploring Complicated Search Spaces With Interleaving-Free Sampling.

Conventional neural architecture search (NAS) algorithms typically work on search spaces with short-distance node connections. We argue that such designs, though safe and stable, are obstacles to exploring more effective network architectures. In this brief, we explore the search algorithm upon a complicated search space with long-distance connections and show that existing weight-sharing search algorithms fail due to the existence of interleaved connections (ICs).

Effect of Nalbuphine Combined with Propofol on Relieving Visceral Pain and Cognitive Function in Patients Undergoing Laparoscopic Ovarian Tumor Resection.

Objective: This study evaluated the effectiveness of nalbuphine combined with propofol in reducing visceral pain and preserving cognitive function during laparoscopic ovarian tumor resection.

Methods: A total of 100 patients undergoing laparoscopic ovarian tumor resection from January 2019 to January 2022 were randomly assigned to either the control group or the research group (50 patients each). The control group received fentanyl combined with propofol for anesthesia, while the research group received nalbuphine combined with propofol.

Identification of immune-related biomarkers and construction of regulatory network in patients with atherosclerosis.

Background: More and more evidence has established the crucial roles of the innate and adaptive immune systems in driving atherosclerosis-associated chronic inflammation in arterial blood vessels. Thus, the goal of this research was to determine immune-related biomarkers in atherosclerosis.

Methods: In this study, we conducted analysis on the mRNA expression profile of atherosclerosis obtained from Gene Expression Omnibus.

Deciphering the expression patterns of homologous recombination-related lncRNAs identifies new molecular subtypes and emerging therapeutic opportunities in epithelial ovarian cancer.

Epithelial ovarian cancer (EOC) is the leading killer among women with gynecologic malignancies. Homologous recombination deficiency (HRD) has attracted increasing attention due to its significant implication in the prediction of prognosis and response to treatments. In addition to the germline and somatic mutations of homologous recombination (HR) repair genes, to widely and deeply understand the molecular characteristics of HRD, we sought to screen the long non-coding RNAs (lncRNAs) with regard to HR repair genes and to establish a prognostic risk model for EOC.

Identification of Key Differentially Methylated/Expressed Genes and Pathways for Ovarian Endometriosis by Bioinformatics Analysis.

The goal of this study was to identify genes that were differentially methylated and differentially expressed and their related signaling pathways in ovarian endometriosis tissue. First, the DNA methylation and gene expression profiles in the endometrial tissue of patients with ovarian endometriosis were studied using Illumina 450K methylation microarray analysis and the GSE141549 gene expression dataset. Second, differentially methylated and differentially expressed genes, herein referred to as differentially methylated/expressed genes, were identified and protein-protein interaction networks and functional analysis of these genes were determined.

Genetic Variation of Glutathione S-Transferase M1 Is Associated with Patients with Ovarian Endometriosis and Endometriosis-Related Primary Infertility.

Background: The aim of the study was to investigate the role of the genetic variation of glutathione S-transferase M1 (GSTM1) in the development of ovarian endometriosis and endometriosis-related primary infertility risk.

Methods: This case-control study included 564 women with ovarian endometriosis and 576 normal women in the control group in northern China. The polymorphism of GSTM1 was genotyped by polymerase chain reaction (PCR)/ligase detection reaction method.

The gene predicts prognosis and response to chemotherapy in epithelial ovarian cancer.

Background: Chemotherapy resistance is an intractable problem in treating patients with epithelial ovarian cancer (EOC). Heat shock proteins (HSPs) act as apoptosis inhibitors and are highly conserved genetically. Most HSPs have strong cytoprotective effects, and their overexpression inhibits apoptosis.

Promoter Methylation of the Gene Predicts Prognosis and Response to Chemotherapy of High-Grade Serous Ovarian Cancer Patients.

Aberrant DNA methylation is considered to play a critical role in the chemoresistance of epithelial ovarian cancer (EOC). In this study, we explored the relationship between hypermethylation of the Mahogunin Ring Finger 1 () gene promoter and primary chemoresistance and clinical outcomes in high-grade serous ovarian cancer (HGSOC) patients. The MALDI-TOF mass spectrometry assays revealed a strong association between hypermethylation of the upstream region and platinum resistance in HGSOC patients.

Comparison of two laparoscopic vaginoplasties using a single peritoneal flap in patients with Mayer-Rokitansky-Küster-Hauser syndrome.

Introduction And Hypothesis: To compare two laparoscopic vaginoplasties using a single peritoneal flap (SPF), namely the Hebei I technique and the Hebei II technique, for creation of a neovagina in patients with Mayer-Rokitansky-Küster-Hauser (MRKH) syndrome.

Methods: A comparative retrospective study was conducted at a university-based tertiary care hospital. From September 2008 to September 2019, 72 patients with MRKH syndrome underwent either the Hebei I technique (n = 49) or the Hebei II technique (n = 23).

Adaptive Linear Span Network for Object Skeleton Detection.

Conventional networks for object skeleton detection are usually hand-crafted. Despite the effectiveness, hand-crafted network architectures lack the theoretical basis and require intensive prior knowledge to implement representation complementarity for objects/parts in different granularity. In this paper, we propose an adaptive linear span network (AdaLSN), driven by neural architecture search (NAS), to automatically configure and integrate scale-aware features for object skeleton detection.

FOXP4-AS1 is a favorable prognostic-related enhancer RNA in ovarian cancer.

Ovarian cancer (OV) is the main cause of deaths worldwide in female reproductive system malignancies. Enhancer RNAs (eRNAs) are derived from the transcription of enhancers and has attracted increasing attention in cancers recently. However, the biological functions and clinical significance of eRNAs in OV have not been well described presently.

DNA methylome profiling identifies novel methylated genes in epithelial ovarian cancer patients with platinum resistance.

Aim: Platinum-based chemotherapy is widely used for epithelial ovarian cancer (EOC). As high as 20-25% of EOC patients will not respond to the initial chemotherapy. Accumulated evidences have implied that DNA methylation may serve as a potential bio-marker for chemotherapy-resistant phenotypic screening; however, the pattern underlying primary platinum resistance remains unclear.