The retromer is a protein complex containing sorting nexin (Snx) and vacuolar protein sorting (Vps) components. It has an essential role in recycling cargo molecules from endosomes to the trans-Golgi network, and mediates certain endosome-to-plasma membrane recycling events. Uncover the latest and most impactful research in Retromer. Explore pioneering discoveries, insightful ideas and new methods from leading researchers in the field.
Purpose Canine leishmaniasis is one of the most important endemic zoonotic diseases in Latin America, affecting thousands of individuals. Treatment in dogs commonly involves the use of agents with leishmanicidal activity such as allopurinol,...
Centanafadine (SIMTRIYO®) is a first-in-class, sustained-release norepinephrine, dopamine and serotonin reuptake inhibitor and central nervous system stimulant developed by Otsuka Pharmaceutical for the treatment of attention-deficit hyperactivity...
Long-range small-UAV detection is difficult because targets occupy few pixels and are easily confused with background clutter. Lightweight detectors face a prediction-head capacity conflict: classification requires additional discriminative...
Human pose estimation plays a fundamental role in understanding human behaviors and interactions in complex scenes. Among existing approaches, High-Resolution Networks (HRNet) and their variants have demonstrated strong performance in dense...
Time division duplexing (TDD) massive multiple-input multiple-output (MIMO) systems depend on uplink pilot training to acquire channel state information (CSI). However, reusing non-orthogonal pilot sequences creates pilot contamination, which...
Multiple Instance Learning (MIL) has become widely used in medical imaging classification, where precisely annotated data is scarce. MIL methods treat whole slide images as bags of instances (the patches), and only bag labels are required for...
Infrared small target detection (IRSTD) is a critical task for airborne early warning and maritime surveillance, where weak targets with ultra-low pixel occupancy are easily submerged by structured clutter, making the balance between detection...
This study presents a framework for assessing Digital Twin (DTw) fidelity through multi-modal deep learning, evaluating the correspondence between physical manufactured components and their digital CAD specifications. Six vision architectures,...
Detecting and tracking vehicles ahead during driving is a critical technology for ensuring driving safety and enhancing the driving experience. However, traditional detection and tracking models often suffer from high computational intensity and...
Multimodal recommender systems have attracted widespread attention by leveraging multimedia side information to alleviate the inherent data sparsity issue in collaborative filtering. In recent years, existing GNN(Graph Neural Network)-based methods...
Users’ interactions with items are driven by complex and diverse intentions. It is an essential task in sequential recommendation to capture users’ real intentions based on historical behavior sequences. Existing methods mostly leverage item-level...
Ranked among the most prevalent forms of image forgery, Image splicing could lead to misleading judgments and illegal activities, potentially yielding adverse societal impacts. Therefore, detecting and localizing spliced regions in images is vital....
While 3D Gaussian Splatting introduces a novel paradigm for real-time human reconstruction, it remains susceptible to geometric artifacts, feature entanglement, and insufficient local context when modeling large-pose deformations. We propose...
This study presents a Lightweight Nonlinear Scheduler (LNS) for endpoint-preserving facial keyframe interpolation. The work is positioned as a pilot-scale feasibility study rather than a full facial video synthesis system. Given source and target...
Background Chimeric antigen receptors (CARs) are being used to direct cytokine secretion and phagocytosis by immune and glial cells toward amyloid β (Aβ) pathology, effectively adapting oncology-derived cell therapies to Alzheimer’s disease (AD). New...
The rapid advancement of deep learning has enabled the generation of highly realistic deepfake videos while creating major challenges for digital media verification. This study presents a hybrid deepfake detection framework centered on Vision...
Atrial Leadless pacemaker implantspresent a new treatment for sinus node dysfunction in complex cardiac anatomies. The Aveir-VR single chamber pacemaker can be placed in the atrium to control atrial flutter, or in the ventricle to control...
The management of Alzheimer’s disease requires continuous therapeutic intervention due to its progressive nature. Currently, the FDA has approved acetylcholinesterase inhibitors, NMDA receptor antagonists, and disease-modifying monoclonal antibodies...
Internet of Medical Things (IoMT) connects medical devices to allow real-time monitoring and personalized care, significantly enhancing patient health. However, this connectivity also introduces serious cybersecurity risks, including various types...
Businesses looking to broaden their consumer base and access overseas markets are realizing the importance of cross-border e-commerce as the landscape of international trade changes. In an increasingly globalized e-commerce landscape, organizations...
Journal
The journal, established in 1995, publishes original research in Virtual Reality, Augmented and Mixed Reality that shapes and informs the community....
The journal is an interdisciplinary journal presenting the theory and practice of signal, image and video processing. It aims at: Disseminating high...
Journal
The Visual Computerpublishes high-quality research on all aspects of computer graphics and visual computing, with a special focus on the rapidly...
