Domain-generalizable re-identification (DG Re-ID) aims to train a model on one or more source domains and evaluate its performance on unseen target domains, a task that has attracted growing attention due to its practical relevance. While numerous methods have been proposed, most rely on discriminative or contrastive learning frameworks to learn generalizable feature representations. However, these approaches often fail to mitigate shortcut learning, leading to suboptimal performance.
View Article and Find Full Text PDFSensors (Basel)
September 2024
Depth information is crucial for perceiving three-dimensional scenes. However, depth maps captured directly by depth sensors are often incomplete and noisy, our objective in the depth-completion task is to generate dense and accurate depth maps from sparse depth inputs by fusing guidance information from corresponding color images obtained from camera sensors. To address these challenges, we introduce transformer models, which have shown great promise in the field of vision, into the task of image-guided depth completion.
View Article and Find Full Text PDFUbiquitin-specific protease 14 (USP14), a member of the USP family, which catalyzes ubiquitin cleavage from a range of protein substrates, has been found dysregulated in several cancers. Our aim is to explore the functions and mechanism of USP14 in endometrial carcinoma (EC). Quantitative real-time PCR (qRT-PCR) and western blot (WB) were used to assess USP14 levels in EC tissues and adjacent nontumor tissues.
View Article and Find Full Text PDFSensors (Basel)
April 2023
Due to the complementary characteristics of visual and LiDAR information, these two modalities have been fused to facilitate many vision tasks. However, current studies of learning-based odometries mainly focus on either the visual or LiDAR modality, leaving visual-LiDAR odometries (VLOs) under-explored. This work proposes a new method to implement an unsupervised VLO, which adopts a LiDAR-dominant scheme to fuse the two modalities.
View Article and Find Full Text PDFAims: The aim of this study was to evaluate the clinicopathological features, immunophenotype, differential diagnosis, molecular genetic features and prognosis of spindle cell rhabdomyosarcoma with TFCP2 rearrangement.
Methods: Two cases of spindle cell rhabdomyosarcoma with FET::TFCP2 gene fusion were included in this study. Samples were collected and evaluated through histological observation, immunohistochemistry, fluorescence in-situ hybridisation and high-throughput gene sequencing and previous findings.
IEEE Trans Image Process
October 2022
Recently, unsupervised person re-identification (Re-ID) has received increasing research attention due to its potential for label-free applications. A promising way to address unsupervised Re-ID is clustering-based, which generates pseudo labels by clustering and uses the pseudo labels to train a Re-ID model iteratively. However, most clustering-based methods take each cluster as a pseudo identity class, neglecting the intra-cluster variance mainly caused by the change of cameras.
View Article and Find Full Text PDFAnkylosing spondylitis (AS) is a chronic systemic autoimmune disease characterized by inflammation, bone erosion, spur formation of the spine and the sacroiliac joints. However, the etiology and molecular pathogenesis of AS remain largely unclear. Recently, a growing number of studies showed that long non-coding RNAs (lncRNAs) played critical roles in the development and progression of autoimmune and orthopedic conditions, including AS.
View Article and Find Full Text PDFSpinal cord injury (SCI) is a disabling condition for which therapeutic options are limited. Increasing number of microarray and next-generation sequencing studies have demonstrated that SCI coincides with altered expression of circular RNAs (circRNAs) in the damaged tissue. Emerging functional evidence further pinpointed specific differentially expressed circRNAs (e.
View Article and Find Full Text PDFBackground: Platinum-resistant cases account for 25% of ovarian cancer patients. Our aim was to construct two novel prognostic models based on gene expression data respectively from ferroptosis and necroptosis, for predicting the prognosis of advanced ovarian cancer patients with platinum treatment.
Methods: According to the different overall survivals, we screened differentially expressed genes (DEGs) from 85 ferroptosis-related and 159 necroptosis-related gene expression data in the GSE32062 cohort, to establish two ovarian cancer prognostic models based on calculating risk factors of DEGs, and log-rank test was used for statistical significance test of survival data.
Aging (Albany NY)
December 2019
Increasing studies have demonstrated that long noncoding RNAs (lncRNAs) play vital roles in tumor development and progression. However, the relationship between osteosarcoma and HIF1AAS2 remains unknown. The expression of HIF1AAS2 and miR-129-5p was detected in osteosarcoma cell lines and samples via qRT-PCR.
View Article and Find Full Text PDFFructose is one of the most common dietary carbohydrates in the whole world, and recent studies have found that fructose consumption is closely related to the oncogenesis and development of tumors, however, very few studies have focused on the fructose in ovarian cancer. GLUT5 (Glucose transporter type 5), as a specific fructose transporter in mammalian cells, has also been found highly expressed in many cancers. In this study, we investigated the abilities of proliferation, colony formation, and migration of ovarian cancer cells in fructose medium, and then silenced GLUT5 in ovarian cancer cells to explore the role GLUT5 in fructose metabolism in ovarian cancer.
View Article and Find Full Text PDFCell Physiol Biochem
December 2018
Background/aims: Increasing evidences suggest that dysregulated expression of miRNAs contributes to the progression of various tumors. However, the underlying function of miR-423-5p in osteosarcoma remains unexplored.
Methods: The expression of miR-423-5p and STMN1 were determined in osteosarcoma samples and cell lines via quantitative real-time PCR.
Long noncoding RNAs (LncRNAs) are involved in the pathogenesis of intervertebral disc degeneration (IDD). However, the biological function and expression of RMRP were still unclear. In our study, we showed that RMRP expression was up-regulated in degenerated NP tissues compared to normal NP samples, and higher RMRP expression was associated with the disc degeneration grade.
View Article and Find Full Text PDFIn our study, we report on the design and characterization of a combined angiogenesis therapy for breast cancer based on well-formed amine-functionalized silica nanoparticles (SLNs). The aminefunctionalized SLNs was employed to simultaneously deliver angiostatin (ANG) plasmid and candesartan (CD) to the same cancer cell. The well-formed ANG/CD/SLNs exhibited small particle size, reasonable positive charges, excellent loading of drug and gene in vitro.
View Article and Find Full Text PDFThis study was designed to assess the relationship between changes in peripheral inflammatory factors of patients complicated with non-alcoholic fatty liver disease (NAFLD) undergoing coronary artery bypass grafting (CABG) before and after operation, and their prognosis. A total of 68 patients with stable angina pectoris treated in Xinjiang Hospital who underwent CABG at some point between August of 2013 and August of 2015 were enrolled in the study, and divided into the NAFLD group (n=31) and the non-NAFLD group (n=37) according to the presence of the condition or its absence. Peripheral blood was drawn from the patients before and at 24 h and 1 month after the operation, and the expression levels of high-sensitivity C-reactive protein (hsCRP), soluble CD40 ligand (sCD40L), intercellular adhesion molecule-1 (ICAM-1) and matrix metalloproteinase-9 (MMP-9) were measured via standard enzyme-linked immunosorbent assay.
View Article and Find Full Text PDFOsteosarcoma is one of the most aggressive malignancies with poor prognosis rates. Many studies have demonstrated that miRNAs were involved in osteosarcoma, but the role of miR-103a in osteosarcoma remains elusive. In this study, we detected the expression levels of miR-103 in osteosarcoma and non-osteosarcoma tissues and cell lines.
View Article and Find Full Text PDFBACKGROUND Esophageal squamous cell carcinoma (ESCC) is a worldwide concern. This study looked at the relationship between the expression of differential proteins and the clinicopathological data and survival rate of ESCC patients to identify potential tumor markers for the growth and metastasis of ESCC. MATERIAL AND METHODS This study included 162 patients who underwent surgical excision for management of ESCC.
View Article and Find Full Text PDFStudy Design: A prospective, randomized, controlled clinical study.
Objective: To determine the efficacy of bipolar sealer device in reducing perioperative blood loss and transfusions in degenerative lumbar scoliosis patients undergoing primary posterior spinal fusion.
Background: It has recently been used successfully in pediatric spine surgery, particularly in idiopathic and neuromuscular deformities.
This paper proposes a new approach for blindly deconvolving images that are contaminated by Poisson noise. The proposed approach incorporates a new prior, that is the L0 sparse analysis prior, together with the total variation constraint into the maximum a posteriori (MAP) framework for deconvolution. A greedy analysis pursuit numerical scheme is exploited to solve the L0 regularized MAP problem.
View Article and Find Full Text PDFThis Letter proposes a generalized unified model (GUM) for the calibration of noncentral catadioptric cameras. Releasing the constraint on the projection center and the orientation of the imaging plane that the traditional unified projection model has, the new model is able to well compensate the misalignment between the mirror and the camera. Being a compact and approximate central model, the GUM inherits the flexibility and simplicity from the unified model while maintaining accuracy even under severe misalignment.
View Article and Find Full Text PDFThis paper presents a novel way to address the extrinsic calibration problem for a system composed of a 3D LIDAR and a camera. The relative transformation between the two sensors is calibrated via a nonlinear least squares (NLS) problem, which is formulated in terms of the geometric constraints associated with a trihedral object. Precise initial estimates of NLS are obtained by dividing it into two sub-problems that are solved individually.
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