Intrinsic second-order magnon thermal Hall effect.

In this paper, we study the intrinsic contribution of nonlinear magnon thermal Hall Effect. We derive the intrinsic second-order thermal Hall conductivity of magnon by the thermal scalar potential method and the thermal vector potential method. We find that the intrinsic second-order magnon thermal Hall conductivity is related to the thermal Berry-connection polarizability. We apply our theory to the monolayer ferromagnetic Hexagonal lattice, and we find that the second-order magnon thermal Hall conductivity can be controlled by changing Dzyaloshinskii-Moriya strength and applying strain.

Implications and Optimization of Domain Structures in IV-VI High-Entropy Thermoelectric Materials.

High-entropy semiconductors are now an important class of materials widely investigated for thermoelectric applications. Understanding the impact of chemical and structural heterogeneity on transport properties in these compositionally complex systems is essential for thermoelectric design. In this work, we uncover the polar domain structures in the high-entropy PbGeSnSe1.5Te1.5 system and assess their impact on thermoelectric properties. We found that polar domains induced by crystal symmetry breaking give rise to well-structured alternating strain fields. These fields effectively disrupt phonon propagation and suppress the thermal conductivity. We demonstrate that the polar domain structures can be modulated by tuning crystal symmetry through entropy engineering in PbGeSnAgxSbxSe1.5+xTe1.5+x. Incremental increases in the entropy enhance the crystal symmetry of the system, which suppresses domain formation and loses its efficacy in suppressing phonon propagation. As a result, the room-temperature lattice thermal conductivity increases from κL = 0.63 Wm-1 K-1 (x = 0) to 0.79 Wm-1 K-1 (x = 0.10). In the meantime, the increase in crystal symmetry, however, leads to enhanced valley degeneracy and improves the weighted mobility from µw = 29.6 cm2 V-1 s-1 (x = 0) to 35.8 cm2 V-1 s-1 (x = 0.10). As such, optimal thermoelectric performance can be achieved through entropy engineering by balancing weighted mobility and lattice thermal conductivity. This work, for the first time, studies the impact of polar domain structures on thermoelectric properties, and the developed understanding of the intricate interplay between crystal symmetry, polar domains, and transport properties, along with the impact of entropy control, provides valuable insights into designing GeTe-based high-entropy thermoelectrics.

Cartilage Regeneration Units Based on Hydrogel Microcarriers for Injectable Cartilage Regeneration in an Autologous Goat Model.

Despite numerous studies on tissue-engineered injectable cartilage, it is still difficult to realize stable cartilage formation in preclinical large animal models because of suboptimal biocompatibility, which hinders further application in clinical settings. In this study, we proposed a novel concept of cartilage regeneration units (CRUs) based on hydrogel microcarriers for injectable cartilage regeneration in goats. To achieve this goal, hyaluronic acid (HA) was chosen as the microparticle to integrate gelatin (GT) chemical modification and a freeze-drying technology to create biocompatible and biodegradable HA-GT microcarriers with suitable mechanical strength, uniform particle size, a high swelling ratio, and cell adhesive ability. CRUs were then prepared by seeding goat autologous chondrocytes on the HA-GT microcarriers and culturing in vitro. Compared with traditional injectable cartilage methods, the proposed method forms relatively mature cartilage microtissue in vitro and improves the utilization rate of the culture space to facilitate nutrient exchange, which is necessary for mature and stable cartilage regeneration. Finally, these precultured CRUs were used to successfully regenerate mature cartilage in nude mice and in the nasal dorsum of autologous goats for cartilage filling. This study provides support for the future clinical application of injectable cartilage.

Mechanism of Progesterone in Treatment of Traumatic Brain Injury Based on Network Pharmacology and Molecular Docking Technology.

BACKGROUND Previous studies have confirmed that progesterone has a protective effect on traumatic brain injury (TBI). In this paper, network pharmacology and molecular docking technology were used to further explore the potential mechanism of progesterone in the treatment of TBI. MATERIAL AND METHODS Based on network pharmacology, potential targets of progesterone for TBI were obtained. The network diagram of interactions between target proteins was established to screen the key targets of progesterone for TBI. The DAVID database was used to analyze its biological function and enrichment pathway, and to explore and determine the biological pathway of progesterone in treating TBI. Molecular docking technology was used to simulate the interaction between progesterone and key target proteins. RESULTS Progesterone can treat TBI by anti-inflammatory action, repairing damaged cell membranes, stabilizing the structure of the blood-brain barrier, alleviating brain edema, reducing neuronal apoptosis, and improving neurological function. The molecular mechanism involves the PI3K/Akt signaling pathway, MAPK signaling pathway, and Ras signaling pathway. CONCLUSIONS Progesterone is a potential clinical treatment for TBI. Exploring the potential targets and pathways of TBI therapy through network pharmacology can provide a direction for subsequent research.