High Entropy: A General Strategy for Broadening the Operating Temperature of Magnetic Refrigeration.

Lattice distortion and disorder in the chemical environment of magnetic atoms within high-entropy compounds present intriguing issues in the modulation of magnetic functional compounds. However, the complexity inherent in high-entropy disordered systems has resulted in a relative scarcity of comprehensive investigations exploring the magnetic functional mechanisms of these alloys. Herein, we investigate the magnetocaloric effect (MCE) of the high-entropy intermetallic compound GdTbDyHoErCo.

Effect of Temperature on Condensed State Structure and Conductivity Characteristics of Micron-Level Biaxially Oriented Polypropylene Films.

Polymer-based dielectric films are increasingly demanded for devices under high electric fields used in new energy vehicles, photovoltaic grid connections, oil and gas exploration, and aerospace. However, leakage current is one of the significant factors limiting the improvement of the insulation performance. This paper tested the leakage current and condensed state structure characteristics of biaxially oriented polypropylene (BOPP) films and obtained the nonlinear characteristics of leakage current of BOPP films in the range of 40-440 V/μm and 40-110 °C.

The interaction between antithrombin and endothelial heparan sulfate mitigates pulmonary thromboinflammation after trauma and hemorrhagic shock.

Introduction: Trauma and hemorrhagic shock (T/HS) are associated with multiple organ injury. Antithrombin (AT) has anti-inflammatory and organ protective activity through its interaction with endothelial heparan sulfate containing a 3-O-sulfate modification. Our objective was to examine the effects of T/HS on 3-O-sulfated (3-OS) heparan sulfate expression and determine whether AT-heparan sulfate interactions are necessary for its anti-inflammatory properties.

MEGA-GO: Functions prediction of diverse protein sequence length using Multi-scalE Graph Adaptive neural network.

Motivation: The increasing accessibility of large-scale protein sequences through advanced sequencing technologies has necessitated the development of efficient and accurate methods for predicting protein function. Computational prediction models have emerged as a promising solution to expedite the annotation process. However, despite making significant progress in protein research, graph neural networks face challenges in capturing long-range structural correlations and identifying critical residues in protein graphs.

Manganese exposure induces parkinsonism-like symptoms by Serpina3n-TFEB-v/p-ATPase signaling mediated lysosomal dysfunction.

Manganese (Mn) is a neurotoxin that has been etiologically linked to the development of neurodegenerative diseases in the case of overexposure. It is widely accepted that overexposure to Mn leads to manganism, which has clinical symptoms similar to Parkinson's disease (PD), and is referred to as parkinsonism. Astrocytes have been reported to scavenge and degrade extracellular α-synuclein (α-Syn) in the brain.