Stable, recyclable, hybrid ionic-electronic conductive hydrogels with non-covalent networks enhanced by bagasse cellulose nanofibrils for wearable sensors.

Conductive hydrogels are utilized in flexible sensors due to their high-water content, excellent elasticity, and shape controllability. However, the sharp increase in resistance of this material under enormous strain leads to instability in the sensing process. This study presents a straightforward method for creating a stable, recyclable, hybrid ionic-electronic conductive (HIEC) hydrogel via a simple one-pot strategy using polyvinyl alcohol (PVA), bagasse cellulose nanofibrils (CNF), and graphene(G) with sodium dodecylbenzene sulfonate (SDBS).

Using a two sample Mendelian randomization approach to explore the causal relationship between erectile dysfunction and lung function.

Background: Recently, some observational studies have suggested potential associations between erectile dysfunction (ED) and respiratory function. However, the underlying biological mechanisms and causal relationships between ED and lung function require further investigation. This study aimed to explore the causalities between ED and lung function traits.

Fundamentals of Viscoelastic Particle Focusing in Suddenly Expanded Microfluidic Channels.

Particles focusing in suddenly expanded microfluidic channels with viscoelastic biofluids have attracted increased interests due to the potential biomedical applications. In this work, three types of suddenly expanded channels were designed and employed for experiments. These suddenly expanded channels contained a certain number of triangular expansion structures on the sides of the straight channel to investigate the effect of secondary flow on particle viscoelastic focusing and we investigated particle focusing behavior in those three channels with 0.

MCoGCN-motif high-order feature-guided embedding learning framework for social link prediction.

Traditional social link prediction models primarily concentrate on the adjacency features of the network, overlooking the rich high-order structural information within. Therefore, the study of effective extraction and encoding of these high-order features, and their integration into prediction models, holds significant theoretical and practical value. To address this challenge, we propose a novel embedding learning framework guided by motif high-order features for social link prediction tasks.

Temperature-responsive gating chitosan-based microcapsules for controlled release of urea fertilizers.

Polysaccharides-based smart fertilizers are essential for promoting plant growth, yet significant challenges exist in achieving stable structures and synchronizing nutrient release and plant growth. This study developed a temperature-responsive gating chitosan-based microcapsule (CTSMC-g-PNIPAM) by grafting N-isopropyl acrylamide (NIPAM) onto chitosan microcapsules (CTSMC) via atom transfer radical polymerization (ATRP). The interfacial crosslinking of chitosan (CTS) and terephthalendehyde (TPA) formed the CTSMC matrix with a hollow chamber structure and ensured stability.