LKAFFNet: A Novel Large-Kernel Attention Feature Fusion Network for Land Cover Segmentation.

The accurate segmentation of land cover in high-resolution remote sensing imagery is crucial for applications such as urban planning, environmental monitoring, and disaster management. However, traditional convolutional neural networks (CNNs) struggle to balance fine-grained local detail with large-scale contextual information. To tackle these challenges, we combine large-kernel convolutions, attention mechanisms, and multi-scale feature fusion to form a novel LKAFFNet framework that introduces the following three key modules: LkResNet, which enhances feature extraction through parameterizable large-kernel convolutions; Large-Kernel Attention Aggregation (LKAA), integrating spatial and channel attention; and Channel Difference Features Shift Fusion (CDFSF), which enables efficient multi-scale feature fusion.

Towards designing improved cancer immunotherapy targets with a peptide-MHC-I presentation model, HLApollo.

Based on the success of cancer immunotherapy, personalized cancer vaccines have emerged as a leading oncology treatment. Antigen presentation on MHC class I (MHC-I) is crucial for the adaptive immune response to cancer cells, necessitating highly predictive computational methods to model this phenomenon. Here, we introduce HLApollo, a transformer-based model for peptide-MHC-I (pMHC-I) presentation prediction, leveraging the language of peptides, MHC, and source proteins.

Pheochromocytoma in von Hippel-Lindau Disease: Clinical Features and Comparison With Sporadic Pheochromocytoma.

Objectives: Pheochromocytomas and paragangliomas (PPGLs) are manifestations of von Hippel-Lindau (VHL) disease. This study aims to describe the clinical features of PPGLs in VHL patients and the distinctions between VHL disease-related PPGLs and sporadic PPGLs.

Design, Patients And Measurements: The study included all patients with VHL disease and PPGLs treated in a single centre from 2007 to 2023.

Harnessing nanoengineered CAR-T cell strategies to advance solid tumor immunotherapy.

The efficacy and safety of chimeric antigen receptor (CAR) T cell therapy is still inconclusive in solid tumor treatment. Recently, nanotechnology has emerged as a potent strategy to reshape CAR-T cell therapy with promising outcomes. This review aims to discuss the significant potential of nano-engineered CAR-T cell therapy in addressing existing challenges, including CAR-T cell engineering evolution, tumor microenvironment (TME) modulation, and precise CAR-T cell therapy (precise targeting, monitoring, and activation), under the main consideration of clinical translation.

Effects of mindfulness-based intervention in preventing relapse in patients with remitted psychosis: a randomized controlled trial.

Stress is a key factor in psychotic relapse, and mindfulness offers stress resilience and well-being benefits. This study examined the effects of mindfulness-based intervention for psychosis (MBI-p) in preventing relapse at 1 year among patients with remitted psychosis in Hong Kong. MBI-p is a newly developed manual-based mindfulness protocol and was tested to have improved well-being and clinical outcomes in a pilot study with remitted psychosis patients.