Diagnosis of Parkinson's disease by eliciting trait-specific eye movements in multi-visual tasks.

Background: Parkinson's Disease (PD) is a neurodegenerative disorder, and eye movement abnormalities are a significant symptom of its diagnosis. In this paper, we developed a multi-task driven by eye movement in a virtual reality (VR) environment to elicit PD-specific eye movement abnormalities. The abnormal features were subsequently modeled by using the proposed deep learning algorithm to achieve an auxiliary diagnosis of PD.

Lightweight Deep Learning Model, ConvNeXt-U: An Improved U-Net Network for Extracting Cropland in Complex Landscapes from Gaofen-2 Images.

Extracting fragmented cropland is essential for effective cropland management and sustainable agricultural development. However, extracting fragmented cropland presents significant challenges due to its irregular and blurred boundaries, as well as the diversity in crop types and distribution. Deep learning methods are widely used for land cover classification.

Long-Life Zinc Anodes via Molecular-Layer-Deposited Inorganic-Organic Hybrid Titanicone Thin Films.

Zinc-ion batteries (ZIBs) have consistently faced challenges related to the instability of the zinc anode. Uncontrolled dendrite growth, hydrogen evolution reaction (HER), and byproduct accumulation on the zinc anode severely affect the cycling life of ZIBs. Herein, inorganic-organic hybrid thin films of titanicones (Ti-based hydroquinone, TiHQ) were fabricated by molecular layer deposition (MLD) technology to modify the zinc metal anode.

Diagnostic Value of the Ovarian-Adnexal Reporting and Data System Ultrasound in Ovarian Masses: A Two-Center Study.

Objective: This study aimed to assess the diagnostic efficacy of the Ovarian-Adnexal Reporting and Data System (O-RADS) and Ultrasound (US) and its sub-classification system for distinguishing ovarian masses.

Methods: O-RADS US was used for the retrospective analysis of 606 ovarian masses of Chinese from two medical centers by two gynecologic sonographers with varying experience. The O-RADS 4 categories masses were further sub-classified into O-RADS 4a and O-RADS 4 b through three different approaches(O-RADS A1/A2/A3).

Canine Adipose-Derived Mesenchymal Stromal Cells Reduce Cell Viability and Migration of Metastatic Canine Oral Melanoma Cell Lines In Vitro.

Canine oral melanoma (COM) is a promising target for immunomodulatory therapies aimed at enhancing the immune system's antitumor response. Given that adipose-derived mesenchymal stem cells (Ad-MSCs) possess immunomodulatory properties through cytokine release, we hypothesized that co-culturing Ad-MSCs and canine peripheral blood mononuclear cells (PBMCs) could stimulate interleukin (IL) production against melanoma cell lines (MCCLs) and help identify therapeutic targets. This study evaluated IL-2, IL-8, and IL-12 expressions in co-culture with MCCL, Ad-MSCs, and PBMCs and assessed the relationship between gene expression, cell viability, and migration.