Chemically engineered antibodies for autophagy-based receptor degradation.

Cell surface receptor-targeted protein degraders hold promise for drug discovery. However, their application is restricted because of the complexity of creating bifunctional degraders and the reliance on specific lysosome-shuttling receptors or E3 ubiquitin ligases. To address these limitations, we developed an autophagy-based plasma membrane protein degradation platform, which we term AUTABs (autophagy-inducing antibodies).

Preparation of bio-based flame retardants by modification of cottonseed meal with polyphosphate and boric acid and its durability to cotton fiber.

The durability and flame retardancy of cotton fabrics have been the focus of long-term research. In this paper, a method for preparing flame retardants through the direct modification of biomass was proposed, and the durable flame retardant of homologous cottonseed meal modified biomass flame retardants for cotton fabrics was achieved through biomass composition analysis and modeling. In this study, a cottonseed meal-phosphoric acid-boric acid synergistic bio-based flame retardant (CPB) was synthesized and characterized.

Phenotypic evolution of appearance quality and cooking and taste quality of hybrid rice over the past 40 years in China.

Since the inception of hybrid rice technology 50 years ago, it has not only substantially increased rice yield per unit area but also expedited the development of high-quality rice varieties. However, the evolutionary characteristics of hybrid rice quality remain unclear. To address this gap, it is imperative to leverage more representative and comprehensive hybrid rice resources to analyze phenotypic variation diversity and its primary genetic basis, thereby offering more efficient guidance for molecular breeding.

Artificial Intelligence-Enabled Novel Atrial Fibrillation Diagnosis System Using 3D Pulse Perception Flexible Pressure Sensor Array.

Atrial fibrillation (AF) as one of the most common cardiovascular diseases has attracted great attention due to its high disability and mortality rate. Thus, a timely and effective recognition method for AF is of great importance for diagnosing and preventing it. Herein, we proposed a novel intelligent sensing and recognition system for AF which combined Traditional Chinese Medicine (TCM), flexible wearable electronic devices, and artificial intelligence.

Precise Preparation of Size-Uniform Two-Dimensional Platelet Micelles Through Crystallization-Assisted Rapid Microphase Separation Using All-Bottlebrush-Type Block Copolymers with Crystalline Side Chains.

Polymer nanoparticles with low curvature, especially two-dimensional (2D) soft materials, are rich in functions and outstanding properties and have received extensive attention. Crystallization-driven self-assembly (CDSA) of linear semicrystalline block copolymers is currently a common method of constructing 2D platelets of uniform size. Although accompanied by high controllability, this CDSA method usually and inevitably requires a longer aging time and lower assembly concentration, limiting the large-scale preparation of nanoaggregates.