Improved Alkaline Hydrogen Evolution Performance of Dealloying Fe75-xCoxSi12.5B12.5 Electrocatalyst.

The electrocatalytic performance of a Fe65Co10Si12.5B12.5 Fe-based compounds toward alkaline hydrogen evolution reaction (HER) is enhanced by dealloying. The dealloying process produced a large number of nanosheets on the surface of NS-Fe65Co10Si12.5B12.5, which greatly increased the specific surface area of the electrode. When the dealloying time is 3 h, the overpotential of NS-Fe65Co10Si12.5B12.5 is only 175.1 mV at 1.0 M KOH and 10 mA cm-2, while under the same conditions, the overpotential of Fe65Co10Si12.5B12.5 is 215 mV, which is reduced. In addition, dealloying treated electrodes also show better HER performance than un-dealloying treated electrodes. With the increase in Co doping amount, the overpotential of the hydrogen evolution reaction decreases, and the hydrogen evolution activity is the best when the addition amount of Co is 10%. This work not only provides a basic understanding of the relationship between surface activity and the dealloying of HER catalysts, but also paves a new way for doping transition metal elements in Fe-based electrocatalysts working in alkaline media.

Evolution of trust in N-player trust games with loss assessment.

Trust plays a crucial role in social and economic interactions, serving as the foundation for social stability and human cooperation. Previous studies have explored the evolution of trust between investors and trustees by constructing trust game models, incorporating factors such as network structure, reputation, and incentives. However, these studies often assume that investors consistently maintain their investment behavior, neglecting the potential influence of the investment environment on investment behavior. To address this gap, we introduce a loss assessment mechanism and construct a trust game model. Specifically, investors first allocate their investment amount to an assessment agency, which divides the amount into two parts according to a certain allocation ratio. One part is used for investment assessment, and the results are fed back to the investors. If the payoff from this portion exceeds the investors' expected value, the remaining amount is invested; otherwise, it is returned to the investors. The results indicate that investors with moderate expectations are more likely to form alliances with trustworthy trustees, thereby effectively promoting the evolution of trust. Conversely, lower or higher expectations yield opposite results. Additionally, we find that as investors' expected values increase, the corresponding allocation ratio should also increase to achieve higher payoffs.

The paradigm of tax-reward and tax-punishment strategies in the advancement of public resource management dynamics.

In contemporary society, the effective utilization of public resources remains a subject of significant concern. A common issue arises from defectors seeking to obtain an excessive share of these resources for personal gain, potentially leading to resource depletion. To mitigate this tragedy and ensure sustainable development of resources, implementing mechanisms to either reward those who adhere to distribution rules or penalize those who do not, appears advantageous. We introduce two models: a tax-reward model and a tax-punishment model, to address this issue. Our analysis reveals that in the tax-reward model, the evolutionary trajectory of the system is influenced not only by the tax revenue collected but also by the natural growth rate of the resources. Conversely, the tax-punishment model exhibits distinct characteristics when compared with the tax-reward model, notably the potential for bistability. In such scenarios, the selection of initial conditions is critical, as it can determine the system's path. Furthermore, our study identifies instances where the system lacks stable points, exemplified by a limit cycle phenomenon, underscoring the complexity and dynamism inherent in managing public resources using these models.

Spin-Orbit Excitons in a Correlated Metal: Raman Scattering Study of Sr_{2}RhO_{4}.

Using Raman spectroscopy to study the correlated 4d-electron metal Sr_{2}RhO_{4}, we observe pronounced excitations at 220 meV and 240 meV with A_{1g} and B_{1g} symmetries, respectively. We identify them as transitions between the spin-orbit multiplets of the Rh ions, in close analogy to the spin-orbit excitons in the Mott insulators Sr_{2}IrO_{4} and α-RuCl_{3}. This observation provides direct evidence for the unquenched spin-orbit coupling in Sr_{2}RhO_{4}. A quantitative analysis of the data reveals that the tetragonal crystal field Δ in Sr_{2}RhO_{4} has a sign opposite to that in insulating Sr_{2}IrO_{4}, which enhances the planar xy orbital character of the effective J=1/2 wave function. This supports a metallic ground state, and suggests that c-axis compression of Sr_{2}RhO_{4} may transform it into a quasi-two-dimensional antiferromagnetic insulator.

Genome-wide identification and expression analysis of PYL family genes and functional characterization of GhPYL8D2 under drought stress in Gossypium hirsutum.

Cotton is a crucial economic crop, serving as a natural fiber source for the textile industry. However, drought stress poses a significant threat to cotton fiber quality and productivity worldwide. Pyrabactin Resistance 1-Like (PYL) proteins, as abscisic acid (ABA) receptors, play a crucial role in adverse stress responses, but knowledge about the PYLs in cotton remains limited. In our study, we identified 40 GhPYL genes in Gossypium hirsutum through a genome-wide analysis of the cotton genome database. Our analysis revealed that the PYL family formed three distinct subfamilies with typical family characteristics in G. hirsutum. Additionally, through quantitative expression analysis, including transcriptome dataset and qRT-PCR, we found that all GhPYLs were expressed in all tissues of G. hirsutum, and all GhPYLs were differentially expressed under drought stress. Among them, GhPYL4A1, GhPY5D1, GhPY8D2, and a member of the type 2C protein phosphatases clade A family in Gossypium hirsutum (GhPP2CA), GhHAI2D, showed significant differences in expression levels within 12 h after stress treatment. Our protein interaction analysis and BiFC demonstrated the complex regulatory network between GhPYL family proteins and GhPP2CA proteins. We also found that there is an interaction between GhPYL8D2 and GhHAI2D, and through drought treatment of transgenic cotton, we found that GhPYL8D2 played a vital role in the response of G. hirsutum to drought through stomatal control via co-regulation with GhHAI2D. Our findings provide useful insights into the regulation of GhPYL family genes that occur in response to abiotic stresses in cotton.

Large Anomalous Nernst Effects at Room Temperature in Fe3 Pt Thin Films.

Heat current in ferromagnets can generate a transverse electric voltage perpendicular to magnetization, known as anomalous Nernst effect (ANE). ANE originates intrinsically from the combination of large Berry curvature and density of states near the Fermi energy. It shows technical advantages over the conventional longitudinal Seebeck effect in converting waste heat to electricity due to its unique transverse geometry. However, materials showing giant ANE remain to be explored. Herein,  a large ANE thermopower of Syx ≈ 2 µV K-1 at room temperature in ferromagnetic Fe3 Pt epitaxial films is reported, which also show a giant transverse thermoelectric conductivity of αyx ≈ 4 A K-1  m-1 and a remarkable coercive field of 1300 Oe. The theoretical analysis reveals that the strong spin-orbit interaction in addition to the hybridization between Pt 5d and Fe 3d electrons leads to a series of distinct energy gaps and large Berry curvature in the Brillouin zone, which is the key for the large ANE. These results highlight the important roles of both Berry curvature and spin-orbit coupling in achieving large ANE at zero magnetic field, providing pathways to explore materials with giant transverse thermoelectric effect without an external magnetic field.

Experimental and Numerical Investigation of the Mechanical Properties of a CFRP Tendon-Wedge Assembly Loaded under Transverse Compressive Loading.

Carbon-fiber-reinforced polymer (CFRP) tendons have become a viable alternative to steel cables in cable roof structures owing to their high tensile strength, low weight, and resistance to corrosion. However, the effective anchoring of CFRP tendons is a challenge because of their poor transverse mechanical properties. Therefore, the mechanical properties of CFRP tendons and a tendon-wedge assembly under transverse compression were investigated by simulating the force environment of the CFRP tendon inside an integrated-wedge anchorage. The deformation of and local damage to CFRP tendons under transverse compression were explored using load-strain curves and full-field strain measured using digital image correlation. The experimental and numerical results show that large-diameter CFRP tendons with a length in the range of 90-110 mm had better cross-sectional deformation resistance and more stable transverse mechanical properties. Longer CFRP tendons with larger diameters have lower contact compressive stress and local maximal shear stress under the same transverse compressive load. Based on the analysis of the experimental and numerical results, we propose design suggestions for tendon size selection and integrated-wedge design details, such as the manufacturing materials of the wedge, the radius through the gap of the wedge, and the radial difference of the groove, to improve the anchoring properties and efficiency of the integrated-wedge anchorage.

Classification and Prediction of Skyrmion Material Based on Machine Learning.

The discovery and study of skyrmion materials play an important role in basic frontier physics research and future information technology. The database of 196 materials, including 64 skyrmions, was established and predicted based on machine learning. A variety of intrinsic features are classified to optimize the model, and more than a dozen methods had been used to estimate the existence of skyrmion in magnetic materials, such as support vector machines, k-nearest neighbor, and ensembles of trees. It is found that magnetic materials can be more accurately divided into skyrmion and non-skyrmion classes by using the classification of electronic layer. Note that the rare earths are the key elements affecting the production of skyrmion. The accuracy and reliability of random undersampling bagged trees were 87.5% and 0.89, respectively, which have the potential to build a reliable machine learning model from small data. The existence of skyrmions in LaBaMnO is predicted by the trained model and verified by micromagnetic theory and experiments.

Improving the Function of Meningeal Lymphatic Vessels to Promote Brain Edema Absorption after Traumatic Brain Injury.

Brain edema is the most common and fatal complication after traumatic brain injury (TBI). Meningeal lymphatic vessels (MLVs) are the conduits that transport cerebrospinal fluid (CSF) and macromolecules to deep extracranial cervical lymph nodes (dCLNs). After TBI, the drainage function of MLVs can become impaired. However, the scenario in which the improvement of the function of MLVs can promote brain edema absorption after TBI has not been reported. Therefore, the purpose of this study was to investigate the effects of ketoprofen, 9-cis retinoic acid (RA) and vascular endothelial cell growth factor-C (VEGF-C), which promote the proliferation of peripheral lymphatic vessels, on the cerebellar medullary cistern injection of TBI rats, as well as their mechanism of action on brain edema after TBI. In the experiment, we found that ketoprofen, 9-cisRA, and VEGF-C can improve the function of MLVs, promote the extracranial drainage of CSF and the absorption of brain edema, weaken the neuroinflammatory response, reduce reactive oxygen species (ROS) production, maintain the structural integrity of MLVs, and improve neurological function. In addition, ketoprofen, 9-cisRA, and VEGF-C upregulated the lymphatic-specific proteins VEGF receptor (VEGFR)3, PROX1, forkhead box protein C2 (FOXC2), and lymphatic vessel endothelial hyaluronan receptor 1 (LYVE1). These results indicate that ketoprofen, 9-cisRA, and VEGF-C may maintain the integrity of the meningeal lymphatic wall and promote lymphatic proliferation by upregulating the expression of lymphatic vessel-specific proteins, improve meningeal lymphatic function after TBI, promote CSF drainage and brain edema absorption, reduce the immune response of the nervous system, and reduce ROS formation, thereby improving prognoses. These findings may provide new ideas for the treatment of brain edema after TBI.