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Aqueous zinc-ion batteries offer sustainable large-scale storage potential with inherent safety and low cost, yet suffer from limited energy density and cycle life due to aqueous electrolyte constraints. Here, we introduce affordable, stable electrolyte (0.33 $·kg −1 ) incorporating minimal multi-halogen anions (Cl − , Br − , and I − ) to create a high-entropy solvation structure enabling high-performance zinc batteries. Despite the small amount, the diversified mono-halogenated contact ion pair and multi-halogenated aggregate solvation structures create the unique high-entropy solvation structure, to form the lean-water halogenated interfacial environment, suppressing the hydrogen evolution reaction, while facilitating cascade desolvation. Multi-halogen additives generate diverse contact ion pairs (Zn-X, X = Cl/Br/I) with compact solvation shells accelerating ion transport. In this way, the high-entropy solvation structure breaks the trade-off between plating overpotential (energy efficiency) and plating/stripping reversibility (Coulombic efficiency). As a result, the high-entropy solvation-based electrolyte enables practical zinc metal battery with 152.2 Wh kg − 1 electrode for 120 cycles at lean electrolyte of 2.4 μL mg − 1 and an Ah-level pouch cell is validated with high Coulombic efficiency of over 99.90% for over 250 cycles. Our findings emphasize the importance of electrolyte design for the precise control of anion-cation interactions for stable Zn/electrolyte interface and enable practical zinc metal battery with high energy and low cost. Aqueous zinc batteries offer a safe and low-cost energy storage option but have a limited lifespan. Here, authors develop a multi-halogen mediated high entropy electrolyte that restructures ion interactions, enabling high energy batteries with extended cycle life and low electrolyte cost.

Titanium-based coated electrodes are considered to be a substitute for Pb-based anodes because of their lower weights and lower energy consumption; however, their properties and service lives are affected by the matrix structure. Herein, the metal oxide coating was prepared via the thermal oxidation decomposition of a 5 μm-porous titanium plate. The scanning electron microscope (SEM) showed that the metal oxide coating on the porous titanium plate was strengthened in each layer that had pores. The inner coating of the particles are sized using nanometers, with a diameter of 22–64 nm and a compact structure. The electrochemical test results show that, compared with the flat titanium plate, the coating attached to the porous titanium plate has a better catalytic performance in the chlorine evolution reaction, (the chlorine evolution potential decreases by 121 mV), and the service life is increased by 3.78 times. Through a SEM, XRD, and EDS analysis of the coating composition after corrosion failure, the corrosion mechanism of the surface oxide coating was discussed.

The low cell voltage during electrolytic Mn from the MnCl 2 system can effectively reduce the power consumption. In this work, the Ti/Sn−Ru−Co−Zr modified anodes were obtained by using thermal decomposition oxidation. The physical parameters of coatings were observed by SEM (scanning electron microscope). Based on the electrochemical performance and SEM/XRD (X-ray diffraction) of the coatings, the influence of Zr on electrode performance was studied and analyzed. When the mole ratio of Sn−Ru−Co−Zr is 6:1:0.8:0.3, the cracks on the surface of coatings were the smallest, and the compactness was the best due to the excellent filling effect of ZrO 2 nanoparticles. Moreover, the electrode prepared under this condition had the lowest mass transfer resistance and high chloride evolution activity in the 1mol% NH 4 Cl and 1.5mol% HCl system. The service life of 3102 h was achieved according to the empirical formula of accelerated-life-test of the new type anode.

One of the most promising electrochemical energy storage technologies, aqueous zinc ion batteries (AZIBs), is garnering increasing attention due to their inherent safety, high sustainability, and low cost. However, the challenges posed by dendrite formation and side reactions resulting from uneven deposition of zinc metal anodes significantly impede the reversibility and cycling stability of AZIBs. Given the influence of crystallographic anisotropy on the diversity of deposited metal morphology and crystal orientation, a thorough understanding of the intrinsic texture of zinc is crucial in achieving a dendrite‐free zinc anode. This review highlights groundbreaking efforts and significant advancements in promoting the orientational electrodeposition of zinc, encompassing fundamental crystallographic and electrocrystallization theories as well as approaches for achieving textured zinc electrodeposition. The goal is to provide a comprehensive understanding of the crystallography, electrochemistry, and induction mechanisms involved in controlling sustainable zinc orientational electrodeposition for AZIBs. Lastly, four critical research aspects are proposed to facilitate the commercialization of reliable AZIBs. Developing a large‐scale approach to fabricate textured metal zinc anodes or implementing a feasible inducing strategy, achieving sustainably orientational electrodeposition along specific facets, as well as elaborating on the underlying induction mechanisms according to the fundamental theories jointly facilitate the development of cost‐efficient, high‐capacity, long‐lasting AZIBs for a wide range of practical applications.

Spatial econometrics includes space, which has long been neglected in econometrics, into the model. To explore the two themes of spatial dependence and spatial heterogeneity is a branch of econometrics dealing with the spatial relationship of geographical units. Moran's I index test is a method to test the correlation of development in a spatial region, and the combination of spatial econometric model and Moran's I index test can add spatial effect to Moran's I index test and make a series of regression to get the regional correlation. According to the spatial econometric model, this paper collects the changes of per capita GDP scale level and real per capita GDP growth rate from 1980 to 2015, and applies Moran's model to the central, Western and eastern parts of China The results show that the spatial correlation of the development and growth of the eastern region is increasing year by year, the central region shows a fluctuating trend, and the spatial correlation of the western region shows a downward trend The change trend of I value predicts that the imbalance of regional development in China is gradually changing to the national development balance, which is consistent with the actual situation in China. It proves that the model combined with Moran's I index test is accurate and the prediction results are reliable.

The blood-brain barrier (BBB) is a critical interface that maintains the central nervous system homeostasis by controlling the exchange of substances between the blood and the brain. Disruption of the BBB plays a vital role in the development of neuroinflammation and neurological dysfunction in sepsis, but the mechanisms by which the BBB becomes disrupted during sepsis are not well understood. Here, we induced endotoxemia, a major type of sepsis, in mice by intraperitoneal injection of lipopolysaccharide (LPS). LPS acutely increased BBB permeability, activated microglia, and heightened inflammatory responses in brain endothelium and parenchyma. Concurrently, LPS or proinflammatory cytokines activated the NF-κB pathway, inhibiting Wnt/β-catenin signaling in brain endothelial cells in vitro and in vivo. Cell culture study revealed that NF-κB p65 directly interacted with β-catenin to suppress Wnt/β-catenin signaling. Pharmacological NF-κB pathway inhibition restored brain endothelial Wnt/β-catenin signaling activity and mitigated BBB disruption and neuroinflammation in septic mice. Furthermore, genetic or pharmacological activation of brain endothelial Wnt/β-catenin signaling substantially alleviated LPS-induced BBB leakage and neuroinflammation, while endothelial conditional ablation of the Wnt7a/7b co-receptor Gpr124 exacerbated the BBB leakage caused by LPS. Mechanistically, Wnt/β-catenin signaling activation rectified the reduced expression levels of tight junction protein ZO-1 and transcytosis suppressor Mfsd2a in brain endothelial cells of mice with endotoxemia, inhibiting both paracellular and transcellular permeability of the BBB. Our findings demonstrate that endotoxemia-associated systemic inflammation decreases endothelial Wnt/β-catenin signaling through activating NF-κB pathway, resulting in acute BBB disruption and neuroinflammation. Targeting the endothelial Wnt/β-catenin signaling may offer a promising therapeutic strategy for preserving BBB integrity and treating neurological dysfunction in sepsis.

Quality improvement is crucial for manufacturing, and existing research has paid less attention to the influence of regulatory factors and irrational factors of decision makers. Considering the impact of the reward and punishment strategy of the shared platform on quality decision-making, this paper introduces prospect theory and mental account theory into the process of multi-agent evolutionary game of shared manufacturing, constructs a co-evolutionary game model of shared manufacturing quality synergistic improvement under the dynamic reward and punishment mechanism, and analyzes the dynamic evolution law of each game agent. The research results show that: (1) The synergistic improvement of shared manufacturing quality is the consequence of the combined action of numerous interrelated and interacting factors, rather than the linear effect of a single element. (2) Although the combination of multiple incentive and punishment methods can significantly alter the effect of shared manufacturing quality synergy, there are certain effectiveness gaps. (3) The subsidy mechanism can effectively compensate for the effectiveness gap of the reward and punishment mechanism, and it can also strengthen the internal driving force of shared manufacturing quality coordination. The main management insights are as follows: (1) Consider strong external regulation to be the framework constraint, and positive internal control to be the detail specification. (2) Create a reliable reward and punishment mechanism and dynamically alter the intensity of rewards and penalties. (3) To close the effectiveness gap, strengthen the subsidy mechanism as an essential addition to the incentive and punishment mechanisms. This study can give a new reference path for quality improvement of shared manufacturing, allowing shared manufacturing to play a more constructive role in supporting the transformation and development of the manufacturing industry.

The human reliability of intelligent coal mine hoist operation system is affected by many factors, in order to reduce the occurrence of human error in the hoist system and improve the reliability of the system. The characteristics of phased-mission task operation of hoists is combined, the phase dependence of human cognitive errors is considered and, a new human reliability evaluation method is proposed with the help of Bayesian network (BN) model in this paper. Firstly, the phase dependence of human cognitive errors was analyzed based on the cognitive behavior model. Then the human error analysis in the hoist system was carried out, and several main performance shaping factors are selected. Secondly, BN was used to build the human reliability model of the hoist system at each stage. Finally, it is found that the phase dependence of cognitive errors has a negative impact on the human reliability of the hoist system through the case analysis. At the same time, several main performance shaping factors (PSFs)were quantitatively analyzed by using the reverse reasoning ability of BN, which proves the effectiveness of the proposed method, and provides a scientific and reasonable theoretical basis for the development of effective human error prevention measures for the operation of intelligent coal mine hoists.

In recent years, the environmental health issue of microplastics has aroused an increasingly significant concern. Some studies suggested that exposure to polystyrene microplastics (PS-MPs) may lead to renal inflammation and oxidative stress in animals. However, little is known about the essential effects of PS-MPs with high-fat diet (HFD) on renal development and microenvironment. In this study, we provided the single-cell transcriptomic landscape of the kidney microenvironment induced by PS-MPs and HFD in mouse models by unbiased single-cell RNA sequencing (scRNA-seq). The kidney injury cell atlases in mice were evaluated after continued PS-MPs exposure, or HFD treated for 35 days. Results showed that PS-MPs plus HFD treatment aggravated the kidney injury and profibrotic microenvironment, reshaping mouse kidney cellular components. First, we found that PS-MPs plus HFD treatment acted on extracellular matrix organization of renal epithelial cells, specifically the proximal and distal convoluted tubule cells, to inhibit renal development and induce ROS-driven carcinogenesis. Second, PS-MPs plus HFD treatment induced activated PI3K-Akt, MAPK, and IL-17 signaling pathways in endothelial cells. Besides, PS-MPs plus HFD treatment markedly increased the proportions of CD8 + effector T cells and proliferating T cells. Notably, mononuclear phagocytes exhibited substantial remodeling and enriched in oxidative phosphorylation and chemical carcinogenesis pathways after PS-MPs plus HFD treatment, typified by alterations tissue-resident M2-like PF4 + macrophages. Multispectral immunofluorescence and immunohistochemistry identified PF4 + macrophages in clear cell renal cell carcinoma (ccRCC) and adjacent normal tissues, indicating that activate PF4 + macrophages might regulate the profibrotic and pro-tumorigenic microenvironment after renal injury. In conclusion, this study first systematically revealed molecular variation of renal cells and immune cells in mice kidney microenvironment induced by PS-MPs and HFD with the scRNA-seq approach, which provided a molecular basis for decoding the effects of PS-MPs on genitourinary injury and understanding their potential profibrotic and carcinogenesis in mammals. Graphical Abstract

The satellite-terrestrial integrated network (STIN), as an integration of the satellite network and terrestrial, has become a promising architecture to support global coverage and ubiquitous connection. The architecture of software-defined networking (SDN) is utilized to intelligently coordinate the global STIN, in which the placement schemes of SDN controllers, including the locations, number, and roles, would produce various performances. However, the uneven distribution of global users leads to the unbalanced energy consumption of satellite resources, which brings a heavy burden for satellites to maintain the control flows for network management. To provide green communication for international economic trade in the countries along the Belt and Road, in this paper, we focus on the energy-efficient controller placement (EECP) problem in the software-defined STIN. The satellite gateways are located in the countries along the Belt and Road, which accounts for a large number of traffic demands and a dense population. The controllers are deployed on the LEO satellites, where each LEO satellite is a candidate controller. The energy consumption for the control paths and the user data links is modeled and then formulated as the flow processing-oriented optimization problem. A modified simulated annealing placement (MSAP) algorithm is developed to solve the EECP problem, in which we use the greedy way to obtain the initial set of controllers, and then the final optimal controller placement result is obtained by the simulated annealing algorithm. Extensive simulations are conducted on the simulated Iridium satellite network topology and statistics data. Compared with other algorithms, the results show that MSAP reduces network energy consumption by 20% and average latency by 25%.