Methane seepage leads to a specific microplastic aging process in the simulated cold seep environment.

Marine microplastics pose a significant threat to ecosystems, and deep-sea regions serve as critical sinks for these pollutants. Among these regions, cold seeps harbor relatively high concentrations of microplastics. However, research on the aging of microplastics under low-temperature, dark, methane-abundant, and high-pressure conditions remains limited.

Case report: A cystic capillary hemangioma located at the conus medullaris mimicking hemangioblastoma.

Capillary hemangiomas, usually found in skin and mucosal tissues, are rarely encountered within the spinal cord, presenting a significant diagnostic challenge. We report a rare case of intradural extramedullary capillary hemangioma at the conus medullaris in a 66-year-old female patient. Our initial diagnosis leaned towards a cystic hemangioblastoma based on MRI findings due to the presence of cystic formation with an enhanced mural nodule.

Altered gray matter volume and functional connectivity in lung cancer patients with bone metastasis pain.

Bone metastasis pain (BMP) is a severe chronic pain condition. Our previous studies on BMP revealed functional brain abnormalities. However, the potential effect of BMP on brain structure and function, especially gray matter volume (GMV) and related functional networks, have not yet been clearly illustrated.

Adaptively Weighted k-Tuple Metric Network for Kinship Verification.

Facial image-based kinship verification is a rapidly growing field in computer vision and biometrics. The key to determining whether a pair of facial images has a kin relation is to train a model that can enlarge the margin between the faces that have no kin relation while reducing the distance between faces that have a kin relation. Most existing approaches primarily exploit duplet (i.

The value of diffusion tensor tractography delineating corticospinal tract in glioma in rat: validation via correlation histology.

Background: An assessment of the degree of white matter tract injury is important in neurosurgical planning for patients with gliomas. The main objective of this study was to assess the injury grade of the corticospinal tract (CST) in rats with glioma using diffusion tensor imaging (DTI).

Methods: A total 17 rats underwent 7.

Sharable and Individual Multi-View Metric Learning.

This paper presents a sharable and individual multi-view metric learning (MvML) approach for visual recognition. Unlike conventional metric leaning methods which learn a distance metric on either a single type of feature representation or a concatenated representation of multiple types of features, the proposed MvML jointly learns an optimal combination of multiple distance metrics on multi-view representations, where not only it learns an individual distance metric for each view to retain its specific property but also a shared representation for different views in a unified latent subspace to preserve the common properties. The objective function of the MvML is formulated in the large margin learning framework via pairwise constraints, under which the distance of each similar pair is smaller than that of each dissimilar pair by a margin.

Discriminative Deep Metric Learning for Face and Kinship Verification.

This paper presents a new discriminative deep metric learning (DDML) method for face and kinship verification in wild conditions. While metric learning has achieved reasonably good performance in face and kinship verification, most existing metric learning methods aim to learn a single Mahalanobis distance metric to maximize the inter-class variations and minimize the intra-class variations, which cannot capture the nonlinear manifold where face images usually lie on. To address this, we propose a DDML method to train a deep neural network to learn a set of hierarchical nonlinear transformations to project face pairs into the same latent feature space, under which the distance of each positive pair is reduced and that of each negative pair is enlarged.

Deep Transfer Metric Learning.

Conventional metric learning methods usually assume that the training and test samples are captured in similar scenarios so that their distributions are assumed to be the same. This assumption does not hold in many real visual recognition applications, especially when samples are captured across different data sets. In this paper, we propose a new deep transfer metric learning (DTML) method to learn a set of hierarchical nonlinear transformations for cross-domain visual recognition by transferring discriminative knowledge from the labeled source domain to the unlabeled target domain.

[Early efficacies of total knee arthroplasty for knees with severe lateral instability].

Objective: To evaluate the outcomes of primary total knee arthroplasty (TKA) in the treatment of knee with severe lateral instability and summarize the essential points of operation and rehabilitation.

Methods: From February 2005 to August 2010, primary TKA was performed in 27 severe lateral unstable knees (25 cases), including 3 males (3 knees) and 22 females (24 knees). Their mean age was 57.

[Experimental study on effect of rhizoma drynariae flavone on bone destruction of collagen inducted arthritis rat].

Objective: Through establishing the rat model of CIA to evaluate the effect and mechanism of Rhizoma Drynariae Flavone on bone destruction of CIA rat.

Methods: Subcutaneous injection of bovine type II collagen was used to induce Wistar rats to fall ill, and then established the rat model of CIA. The rats whose inflammation scores reached to two points or above were randomly divided into four groups, and were treated accordingly.

[Effects of Tuina and Chinese patent drug Shuxuetong injection on deep venous thrombosis and functional rehabilitation after total knee arthroplasty].

Objective: To evaluate the efficacy of Tuina and Chinese patent drug Shuxuetong injection in preventing patients undergoing total knee arthroplasty from deep venous thrombosis and in functional rehabilitation.

Methods: A total of 120 patients with diagnosed rheumatoid arthritis in the Department of Orthopaedic Surgery, Shanghai Guanghua Hospital of Integrated Traditional Chinese and Western Medicine in China were enrolled for this study. The patients underwent total knee arthroplasty and were divided into treatment group (n=60) and control group (n=60) after surgery.