Annealing temperature effects on monolayer WS-veiled Ag nanoparticle array for surface catalytic reaction.

Plasmonic-WS hybrids have attracted widespread interest for plasmon driven catalytic reactions. In this work, a Ag nanoparticles (NPs)/WS hybrid was fabricated by utilizing a one-step anodized Al template-assisted vacuum thermal evaporation technique and wet transfer method. To optimize the catalytic performance, the morphological evolution and corresponding changes in the catalytic properties of the Ag NPs/WS hybrid at different thermal annealing temperatures were investigated.

Novel prognostic features and personalized treatment strategies for mitochondria-related genes in glioma patients.

Background: Gliomas are the most common intracranial nervous system tumours that are highly malignant and aggressive, and mitochondria are an important marker of metabolic reprogramming of tumour cells, the prognosis of which cannot be accurately predicted by current histopathology. Therefore, Identify a mitochondrial gene with immune-related features that could be used to predict the prognosis of glioma patients.

Methods: Gliomas data were downloaded from the TCGA database and mitochondrial-associated genes were obtained from the MITOCARTA 3.

Annealing Temperature-Dependent Surface-Enhanced Raman spectroscopy on MoS-Covered silver nanoparticle array.

Surface-enhanced Raman spectroscopy (SERS) is an ultra-sensitive analytical tool that can effectively detect and identify molecules by their unique vibrational fingerprints. Development of SERS substrates with good stability, high sensitivity and reproducibility is still a big challenge in practical applications. Recently, 2D materials/metallic hybrid SERS substrates provide a new prospect to improve the SERS performance.

A temporal stability approach to position and attention-shift-invariant recognition.

Incorporation of visual-related self-action signals can help neural networks learn invariance. We describe a method that can produce a network with invariance to changes in visual input caused by eye movements and covert attention shifts. Training of the network is controlled by signals associated with eye movements and covert attention shifting.