Efficacy and Fate of RNA Interference Molecules in the Green Pea Aphid, Acyrthosiphon pisum.

RNA interference (RNAi) is a promising technology for controlling insect pests of agriculture. This technology is mediated through the application of double-stranded RNAs (dsRNAs), which are processed within the insect cells into small interfering RNAs (siRNAs). These molecules then target and reduce the expression of the insect-specific genes that can kill or reduce the performance of the pest.

Stabilizing Polyoxometalate for Enhanced OER Performance Using a Porous Manganese Oxide Support.

The oxygen evolution reaction (OER) is a critical challenge in electrocatalytic water splitting, hindered by high energy demands and slow kinetics. Polyoxometalates (POMs), recognized for their unique redox capabilities, structural archetypes, and molecular precision, are promising candidates for the oxygen evolution reaction (OER). Yet, their application is hindered by high water solubility, causing rapid degradation and efficiency loss under harsh OER conditions.

Evaporative Morphology Tuning of Conducting Polymer Films Under Controlled Vacuum Conditions.

The evaporation of drops on solid surfaces is a ubiquitous natural phenomenon, and their dynamics play a pivotal role in many biological, environmental, and industrial processes. However, the complexity of the underlying mechanisms has largely confined previous studies to liquid drop evaporation under atmospheric conditions. In this study, the first comprehensive investigation of the evaporation dynamics of conducting polymer-containing drops under controlled vacuum environments is presented.

Multimodal feature fusion-based graph convolutional networks for Alzheimer's disease stage classification using F-18 florbetaben brain PET images and clinical indicators.

Alzheimer's disease (AD), the most prevalent degenerative brain disease associated with dementia, requires early diagnosis to alleviate worsening of symptoms through appropriate management and treatment. Recent studies on AD stage classification are increasingly using multimodal data. However, few studies have applied graph neural networks to multimodal data comprising F-18 florbetaben (FBB) amyloid brain positron emission tomography (PET) images and clinical indicators.

G3BP1/2-Targeting PROTAC Disrupts Stress Granules Dependent ATF4 Migracytosis as Cancer Therapy.

Stress granules (SGs) are membraneless cytoplasmic compartments that form in response to stress stimuli. In these compartments, most translation factors stall, except for activating transcription factor 4 (ATF4), which is preferentially translated to ensure cell survival under stressful conditions. Cancer cells encounter various stress conditions in the tumor microenvironment during tumorigenesis; however, how they exploit the pro-survival effects of ATF4 in SGs remains unclear.