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ObjectiveAir-independent propulsion (AIP) submarines carry huge quantities of liquid oxygen. However, in the liquid oxygen combustion process, the cold energy is not usually recovered, and there are criticisms concerning CO2 removal in the confined space of a submarine. Aiming at the two major pain points that have long plagued AIP submarines, this paper proposes an integrated solution that organically combines the recovery and utilization of cold energy from liquid oxygen with the removal of CO2 . Method Liquid oxygen can be used as a cold energy source to process the cabin air. According to the different phase transition temperature characteristics of each air component, the CO2 in the air is frozen (condensed) and separated under normal pressure. ResultsThis study uses quantitative data analysis to show that the energy stored in liquid oxygen can basically meet the cold energy demand for freezing the CO2 produced by the crew's respiratory metabolism within the self-sustaining capacity of the submarine, and proposes a three-level workflow and implementation plan. ConclusionThe technical solution proposed in this paper can recycle 5% of cold energy from liquid oxygen, which conforms to the idea of the comprehensive integration of energy saving and noise reduction, and the full integration of overall resources. As such, it can be used for air purification and CO2 removal in confined spaces such as submarines, submersibles and deep-sea space stations powered by AIP systems.

Objective: Chronic atrophic gastritis (CAG) is a complex and burdensome disease. However, side effects and compliance issues cannot be ignored due to the long treatment cycle. Numerous studies have confirmed the effectiveness of rutaecarpine (RUT) for treating digestive dysfunction. However, the potential mechanism of action of RUT in the context of CAG treatment remains unclear. This study aimed to explore the therapeutic effects and mechanisms of RUT in 1-methyl-3-nitro-1-nitrosoguanidine-induced CAG using network pharmacology, metabolomics, and traditional pharmacological approaches. Materials and Methods: Pathological tests and ELISA assays were used to observe the therapeutic effects of RUT treatment on CAG. Differential metabolites were identified using ultra-high-performance liquid chromatography-tandem mass spectrometry, and metabolism-related target genes were enriched. The same target genes were identified between RUT and CAG diseases. The intersectional target genes were uploaded to Cytoscape for enrichment, and the nucleotide-binding oligomerization domain (NOD)-like receptor signaling pathway was selected to validate the mechanisms of the study. Finally, cell pyroptosis status was evaluated using the terminal deoxynucleotidyl transferase-mediated dUTP nick end labeling assay, and the expressions of associated proteins of the NOD-like receptor signaling pathway were assessed by Western blotting and immunohistochemistry. Results: RUT alleviated gastric mucosal damage and significantly downregulated indicators associated with inflammation and gastric atrophy. A total of 29 intersection target genes was identified, and core pathways were obtained. The NOD-like receptor signaling pathway and pyroptosis status were selected to validate the mechanisms of RUT treatment in CAG rats. The expression of NOD-related proteins and downstream factors was downregulated in the RUT group. Conclusions: RUT exerts a pharmacological effect on relieving gastric damage in CAG rats by inhibiting NOD-like receptors and inflammasomes.

Abstract Background Hepatic controlled attenuation parameter (CAP) is a novel marker for quantifying hepatic fat accumulation. Insulin resistance (IR) plays a major role in the pathogenesis and natural history of hepatic steatosis. This study aimed to investigate the possible relationship between CAP value and IR. Methods This study included a total of 420 patients with overweight or obesity who came to the obesity clinic at Tianjin Union Medical Center. Vibration-controlled transient elastography examination was conducted to detect CAP and liver stiffness measurement (LSM) values. Body composition, including visceral fat area (VFA), and body fat mass (BFM), was evaluated by the direct segmental multi-frequency bioelectrical impedance analysis (BIA). The associations between CAP value, body mass index (BMI), VFA, BFM and homeostasis model assessment of insulin resistance (HOMA-IR) were analyzed. Results CAP value was positively associated with HOMA-IR (r = 0.568, P 0.05). Conclusions Hepatic CAP value is more remarkably than other obesity markers associated with HOMA-IR in individuals with overweight or obesity, regardless of age, BMI, LSM, hypertension, and sex.

Abstract The mechanism of spinal cord injury (SCI) is highly complex, and an increasing number of studies have indicated the involvement of pyroptosis in the physiological and pathological processes of secondary SCI. However, there is limited bioinformatics research on pyroptosis-related genes (PRGs) in SCI. This study aims to identify and validate differentially expressed PRGs in the GEO database, perform bioinformatics analysis, and construct regulatory networks to explore potential regulatory mechanisms and therapeutic targets for SCI. We obtained high-throughput sequencing datasets of SCI in rats and mice from the GEO database. Differential analysis was conducted using the “limma” package in R to identify differentially expressed genes (DEGs). These genes were then intersected with previously reported PRGs, resulting in a set of PRGs in SCI. GO and KEGG enrichment analyses, as well as correlation analysis, were performed on the PRGs in both rat and mouse models of SCI. Additionally, a protein–protein interaction (PPI) network was constructed using the STRING website to examine the relationships between proteins. Hub genes were identified using Cytoscape software, and the intersection of the top 5 hub genes in rats and mice were selected for subsequent experimentally validated. Furthermore, a competing endogenous RNA (ceRNA) network was constructed to explore potential regulatory mechanisms. The gene expression profiles of GSE93249, GSE133093, GSE138637, GSE174549, GSE45376, GSE171441_3d and GSE171441_35d were selected in this study. We identified 10 and 12 PRGs in rats and mice datasets respectively. Six common DEGs were identified in the intersection of rats and mice PRGs. Enrichment analysis of these DEGs indicated that GO analysis was mainly focused on inflammation-related factors, while KEGG analysis showed that the most genes were enriched on the NOD-like receptor signaling pathway. We constructed a ceRNA regulatory network that consisted of five important PRGs, as well as 24 miRNAs and 34 lncRNAs. This network revealed potential regulatory mechanisms. Additionally, the three hub genes obtained from the intersection were validated in the rat model, showing high expression of PRGs in SCI. Pyroptosis is involved in secondary SCI and may play a significant role in its pathogenesis. The regulatory mechanisms associated with pyroptosis deserve further in-depth research.

Abstract The exploration of post-Lithium (Li) metals, such as Sodium (Na), Potassium (K), Magnesium (Mg), Calcium (Ca), Aluminum (Al), and Zinc (Zn), for electrochemical energy storage has been driven by the limited availability of Li and the higher theoretical specific energies compared to the state-of-the-art Li-ion batteries. Post-Li metal||S batteries have emerged as a promising system for practical applications. Yet, the insufficient understanding of quantitative cell parameters and the mechanisms of sulfur electrocatalytic conversion hinder the advancement of these battery technologies. This perspective offers a comprehensive analysis of electrode parameters, including S mass loading, S content, electrolyte/S ratio, and negative/positive electrode capacity ratio, in establishing the specific energy (Wh kg−1) of post-Li metal||S batteries. Additionally, we critically evaluate the progress in investigating electrochemical sulfur conversion via homogeneous and heterogeneous electrocatalytic approaches in both non-aqueous Na/K/Mg/Ca/Al||S and aqueous Zn||S batteries. Lastly, we provide a critical outlook on potential research directions for designing practical post-Li metal||S batteries.

With the increasing integration of renewable energy sources and the presence of numerous controllable loads such as electric vehicles and energy storage in the modern power system, higher nonlinearities and uncertainty both sources and loads are introduced. These factors pose challenges in achieving fast and accurate emergency frequency control. Therefore, this paper addresses the issue of dual source-load uncertainties in power system and presents an optimization strategy based on the Soft Actor Critic (SAC) algorithm that involves the participation of controllable loads in emergency frequency control. Firstly, the spatio-temporal uncertainties of wind farm power output on power supply side and power demand on the load side are described using Weibull and normal probability distributions, respectively. Secondly, an improved Markov Decision Process (MDP) model for emergency frequency control is established, which considers the characteristics of the dual source-load uncertainties. Finally, an optimization of the SAC algorithm is conducted based on Deep Reinforcement Learning (DRL), aiming to achieve rapid system frequency recovery and minimize the cost of removing controllable loads. The presented approach in the paper enhances the emergency frequency control strategy for uncertain power systems and effectively addresses the issue of source-load uncertainty compounded by fault power shortages.

ObjectivePneumonia is a common clinical condition primarily treated with antibiotics and organ support. Exploring the pathogenesis to identify therapeutic targets may aid in the adjunct treatment of pneumonia and improve survival rates.MethodsTranscriptomic data from peripheral blood of 183 pneumonia patients were analyzed using Gene Set Variation Analysis (GSVA) and univariate Cox regression analysis to identify signaling pathways associated with pneumonia mortality. A pneumonia mouse model was established via airway injection of Klebsiella pneumoniae, and pathway-specific blockers were administered via tail vein infusion to assess whether the identified signaling pathways impact the mortality in pneumonia.ResultsThe combination of GSVA and Cox analysis revealed 17 signaling pathways significantly associated with 28-day mortality in pneumonia patients (P < 0.05). Notably, the RIG-I-like receptor signaling pathway exhibited the highest hazard ratio of 2.501 with a 95% confidence interval of [1.223–5.114]. Infusion of RIG012 via the tail vein effectively inhibited the RIG-I-like receptor signaling pathway, significantly ameliorated lung injury in pneumonia mice, reduced pulmonary inflammatory responses, and showed a trend toward improved survival rates.ConclusionRIG012 may represent a novel adjunctive therapeutic agent for pneumonia.

Total knee arthroplasty (TKA) is an effective treatment for end-stage knee joint diseases. The debate over preserving or sacrificing the posterior cruciate ligament (PCL) in mobile-bearing TKA (MB TKA) still needs to be solved due to the lack of high-quality evidence, particularly meta-analyses comparing these techniques. This study aims to conduct a meta-analysis to compare the outcomes of PCL retention (CR) and PCL sacrifice (PS) in terms of clinical and functional knee scores, range of motion, complication rates, and revision rates and to validate these findings through animal experiments. A comprehensive search was conducted using MEDLINE, Cochrane, and Embase databases. Relevant studies were selected for the meta-analysis using RevMan 5.3. Additionally, an animal experiment using Sprague-Dawley rats simulated MB TKA to compare the effects of PCL retention and sacrifice surgeries. 12 studies were included in the meta-analysis. No significant differences were found between CR and PS techniques regarding HSS, KSS, KSFS, WOMAC, ROM, and medial/lateral instability. However, CR MB showed slight superiority in NKJS, while PS MB had better outcomes in complication and revision rates. In the animal study, CR rats exhibited significant early postoperative inflammation, but both groups’ knee structures gradually normalized. The meta-analysis indicates that PCL retention (CR MB) and sacrifice (PS MB) have similar effects on various clinical and functional knee scores. However, PS MB is significantly better at reducing complications and revision rates. The animal experiment confirms PS MB’s advantages in reducing inflammation and promoting joint recovery. Despite the strong evidence, long-term follow-up and larger-scale randomized controlled trials are necessary to confirm these findings.

Abstract Background Uncontrolled inflammation caused by macrophages and monocytes plays a crucial role in worsening acute respiratory distress syndrome (ARDS). Previous studies have highlighted the importance of IFIH1 in regulating macrophage polarisation in ARDS triggered by pneumonia. However, the mechanisms by which IFIH1 is activated in ARDS remain unclear. Methods In this study, we utilised multiomics sequencing and molecular interaction experiments to explore the molecular mechanisms underlying IFIH1 activation in ARDS. Through the use of conditional gene knockout mice and primary cells, we demonstrated the significant role of these mechanisms in the development of ARDS. Additionally, we validated the associations between these mechanisms and ARDS by quantitative PCR analysis of CD14+ cells obtained from the peripheral blood of 140 ARDS patients. Results Our investigation revealed that lipopolysaccharide, a critical component derived from Gram‐negative bacteria, activated IFIH1 by upregulating a novel transcript known as IFIH1‐binding RNA1 (IBR1) in monocytes and macrophages. Specifically, as an endogenous double‐stranded RNA, IBR1 bind to the helicase domain of IFIH1 because of its unique double‐stranded structure. Deletion of IBR1 significantly reduced the activation of IFIH1, M1 polarisation of macrophages, and inflammatory lung injury in ARDS. Moreover, IBR1 directly induced M1 polarisation of macrophages and ARDS, whereas deletion of IFIH1 inhibited IBR1‐induced macrophage M1 polarisation and inflammatory lung injury. Importantly, we observed a notable increase in IBR1 expression in ARDS patients with pneumonia caused by Gram‐negative bacteria. Furthermore, we demonstrated that the delivery of IFIH1 mutants through exosomes effectively counteracted IBR1, thereby reducing pulmonary inflammation and alleviating lung injury. Conclusions This study revealed a novel mechanism involving IBR1, an endogenous double‐stranded RNA (dsRNA) that binds to IFIH1, shedding light on the complex process of macrophage polarisation in ARDS. The administration of IFIH1 variants has the potential to eliminate pulmonary dsRNA and alleviate inflammatory lung injury in ARDS. Highlights In monocytes and macrophages, the endogenous double‐stranded RNA, IFIH1‐binding RNA 1 (IBR1), binds to the helicase domain of IFIH1 because of its unique double‐stranded structure. IBR1 plays a significant role in macrophage polarisation and the development of acute respiratory distress syndrome (ARDS) induced by Gram‐negative bacteria or lipopolysaccharide (LPS). Administration of IFIH1 variants has potential for eliminating pulmonary IBR1 and reducing inflammatory lung injury in ARDS patients.

Abstract The demand for miniaturized and integrated multifunctional devices drives the progression of high‐performance infrared photodetectors for diverse applications, including remote sensing, air defense, and communications, among others. Nonetheless, infrared photodetectors that rely solely on single low‐dimensional materials often face challenges due to the limited absorption cross‐section and suboptimal carrier mobility, which can impair sensitivity and prolong response times. Here, through experimental validation is demonstrated, precise control over energy band alignment in a type‐II van der Waals heterojunction, comprising vertically stacked 2D Ta2NiSe5 and the topological insulator Bi2Se3, where the configuration enables polarization‐sensitive, wide‐spectral‐range photodetection. Experimental evaluations at room temperature reveal that the device exhibits a self‐powered responsivity of 0.48 A·W−1, a specific directivity of 3.8 × 1011 cm·Hz1/2·W−1, a response time of 151 µs, and a polarization ratio of 2.83. The stable and rapid photoresponse of the device underpins the utility in infrared‐coded communication and dual‐channel imaging, showing the substantial potential of the detector. These findings articulate a systematic approach to developing miniaturized, multifunctional room‐temperature infrared detectors with superior performance metrics and enhanced capabilities for multi‐information acquisition.

Abstract Objective To determine the optimal scan duration for ultrafast DCE-MRI in effectively differentiating benign from malignant breast lesions. Methods The study prospectively recruited participants who underwent breast ultrafast DCE-MRI from September 2021 to March 2023. A 30-phase breast ultrafast DCE-MRI on a 3.0-T MRI system was conducted with a 4.5-s temporal resolution. Scan durations ranged from 40.5 s to 135.0 s, during which the analysis is performed at three-phase intervals, forming eight dynamic sets (scan duration [SD]40.5s: 40.5 s, SD54s: 54.0 s, SD67.5s: 67.5 s, SD81s: 81.0 s, SD94.5s: 94.5 s, SD108s: 108.0 s, SD121.5s: 121.5 s, and SD135s: 135.0 s). Two ultrafast DCE-MRI parameters, maximum slope (MS) and initial area under the curve in 60 s (iAUC), were calculated for each dynamic set and compared between benign and malignant lesions. Areas under the receiver operating characteristic curve (AUCs) were used to assess their diagnostic performance. Results A total of 140 women (mean age, 47 ± 11 years) with 151 lesions were included. MS and iAUC from eight dynamic sets exhibited significant differences between benign and malignant lesions (all p 0.05). Conclusions Ultrafast DCE-MRI with a 67.5-s scan duration appears optimal for effectively differentiating malignant from benign breast lesions. Critical relevance statement By evaluating scan durations (40.5–135 s) and analyzing two ultrafast DCE-MRI parameters, we found a scan duration of 67.5 s optimal for discriminating between these lesions and offering a balance between acquisition time and diagnostic efficacy. Key Points Ultrafast DCE-MRI can effectively differentiate malignant from benign breast lesions. A minimum of 67.5-sec ultrafast DCE-MRI scan duration is required to differentiate benign and malignant lesions. Extending the scan duration beyond 67.5 s did not significantly improve diagnostic accuracy. Graphical Abstract

Objective: This study aimed to explore andrographolide’s mechanism of action and its protective effect on noise-induced hearing loss (NIHL). Materials and Methods: A mice animal model for NIHL was established through exposure to broadband noise at 120 dB sound pressure level for 4 h. Transcriptomics analysis and pharmacodynamic experiments were carried out. Results: Andrographolide enters the inner ear and effectively prevents hearing damage following noise exposure in the mice model for permanent hearing loss. Moreover, treatment with andrographolide inhibited the excessive activation of inflammatory factors in the cochleae of noise-exposed mice. Conclusion: Andrographolide might be a promising candidate for auditory protective drug investigation.

Hydrogen isotopes, such as protium(H), deuterium(D), and tritium(T), are widely used in medical treatment, nuclear energy, national defense, and other fields. Under the background of the "double carbon" target with carbon peak and carbon neutralization, deuterium-tritium fusion energy is considered to be an important energy strategy in China. However, the relative abundance of deuterium and tritium in nature is extremely low, and it is of great significance to separate hydrogen isotopes economically and effectively. This paper presents the research on water hydrogen isotope separation technology. Firstly, the methods and the principles of hydrogen isotope separation in water are summarized. Then, two perspectives of separation methods were reviewed. From the perspective of engineering application, the electrolysis, distillation and chemical exchange method are focused. From the perspective of laboratory research and development, the membrane separation method and porous material adsorption method are focused. Finally, the separation factors and energy consumption of typical separation technologies are compared. Moreover, to provide a certain reference for the water hydrogen isotope separation technology, several future research directions are prospected.

Background and aimsTo analyze the effect of oral metformin on changes in gut microbiota characteristics and metabolite composition in normal weight type 2 diabetic patients.MethodsT2DM patients in the cross-sectional study were given metformin for 12 weeks. Patients with unmedicated T2DM were used as a control group to observe the metrics of T2DM patients treated with metformin regimen. 16S rDNA high-throughput gene sequencing of fecal gut microbiota of the study subjects was performed by llumina NovaSeq6000 platform. Targeted macro-metabolomics was performed on 14 cases of each of the gut microbiota metabolites of the study subjects using UPLC-MS/MS technology. Correlations between the characteristics of the gut microbiota and its metabolites, basic human parameters, glycolipid metabolism indicators, and inflammatory factors were analyzed using spearman analysis.ResultsGlycolipid metabolism indexes and inflammatory factors were higher in normal-weight T2DM patients than in the healthy population (P0.05), and the differences in β-diversity were statistically significant (P

Objective: Powerful adjuvant strategies are required to improve the survival of patients with completely resected stage ΙΙΙA non-small cell lung cancer (NSCLC). We aimed to compare the efficacy of traditional Chinese medicine (TCM) treatment versus observation after adjuvant chemotherapy in these patients. Methods: Eligible patients were randomized 1:1 to receive either oral decoctions based on Qi-Yin syndrome differentiation (TCM group) or observation (observation group). The intervention lasted for 12 months. The primary endpoint was 1-year disease-free survival (DFS). Secondary endpoints were DFS, quality of life, regulatory T cells (Tregs), and cytotoxic T lymphocyte-associated antigen-4 (CTLA-4) on the surface of Tregs in peripheral blood. We used EORTC QLQ-LC43 to evaluate quality of life. Results: Between Apr 29, 2019, and Nov 11, 2021, 75 patients were randomly assigned to oral decoctions based on Qi-Yin syndrome differentiation (n = 38) or observation (n = 37). The full analysis set included 35 patients in the TCM group and 35 in the observation group. After a median follow-up of 24.2 months, oral decoctions based on Qi-Yin syndrome differentiation improved DFS compared with observation (HR 0.378, 95% CI: 0.157-0.912; P = .03). One-year DFS was 82.1% in the TCM group and 61.9% in the observation group ( P = .06). Three months after randomization, scores of total health, role function, emotional function, and social function in the TCM group were higher than those in the observation group ( P

Acute respiratory distress syndrome (ARDS) is independently associated with a poor prognosis in patients with sepsis. Macrophage M1 polarization plays an instrumental role in this process. Therefore, the exploration of key molecules affecting acute lung injury and macrophage M1 polarization may provide therapeutic targets for the treatment of septic ARDS. Here, we identified that elevated levels of Ankyrin repeat domain-containing protein 22 (ANKRD22) were associated with poor prognosis and more pronounced M1 macrophage polarization in septic patients by analyzing high-throughput data. ANKRD22 expression was also significantly upregulated in the alveolar lavage fluid, peripheral blood, and lung tissue of septic ARDS model mice. Knockdown of ANKRD22 significantly attenuated acute lung injury in mice with sepsis-induced ARDS and reduced the M1 polarization of lung macrophages. Furthermore, deletion of ANKRD22 in macrophages inhibited M1 macrophage polarization and reduced levels of phosphorylated IRF3 and intracellular interferon regulatory factor 3 (IRF3) expression, while re-expression of ANKRD22 reversed these changes. Further experiments revealed that ANKRD22 promotes IRF3 activation by binding to mitochondrial antiviral-signaling protein (MAVS). In conclusion, these findings suggest that ANKRD22 promotes the M1 polarization of lung macrophages and exacerbates sepsis-induced ARDS.

Abstract Lung cancer, a prevalent and aggressive disease, is characterized by recurrence and drug resistance. It is essential to comprehend the fundamental processes and discover novel therapeutic objectives for augmenting treatment results. Based on our research findings, we have identified a correlation between methylation of cg09897064 and decreased expression of ZBP1, indicating a link to unfavorable prognosis in patients with lung cancer. Furthermore, these factors play a role in macrophage polarization, with ZBP1 upregulated in M1 macrophages compared to both M0 and M2 polarized macrophages. We observed cg09897064 methylation in M2 polarization, but not in M0 and M1 polarized macrophages. ATACseq analysis revealed closed chromatin accessibility of ZBP1 in M0 polarized macrophages, while open accessibility was observed in both M1 and M2 polarized macrophages. Our findings suggest that ZBP1 is downregulated in M0 polarized macrophages due to closed chromatin accessibility and downregulated in M2 polarized macrophages due to cg09897064 methylation. Further investigations manipulating cg09897064 methylation and ZBP1 expression through overexpression plasmids and shRNAs provided evidence for their role in modulating macrophage polarization and tumor growth. ZBP1 inhibits M2 polarization and suppresses tumor growth, while cg09897064 methylation promotes M2 polarization and macrophage-induced tumor growth. In mechanism investigations, we found that cg09897064 methylation impairs CEBPA binding to the ZBP1 promoter, leading to decreased ZBP1 expression. Clinical experiments were conducted to validate the correlation between methylation at cg09897064, ZBP1 expression, and macrophage M2 polarization. Targeting these factors may hold promise as a strategy for developing innovative checkpoint inhibitors in lung cancer treatment.

In this paper, aiming at the problem that the explosion belt is offset by wind during the operation of rocket explosive device, the dynamic model affected by wind and launching angle in different environments are established. The relationship between wind speed, wind direction and launching angle of rocket explosive device is analyzed and studied, and the model is simulated and verified by combining the relevant data. The model can provide method support for rational use of rocket explosive device and improvement of operational efficiency under actual combat conditions.

In this article, we report for the first time two radar measurements (Ji Mo 2008 and Min Qin 2009) on natural soil surfaces under large roughness, which were conducted by the China Research Institute of Radiowave Propagation. The desired HH and VV polarization backscatter data were measured by a truck-mounted scatterometer, which operates at L-band and S-band (i.e., 1.34 and 3.2 GHz, respectively). Simultaneously to radar acquisitions, the ground-truth data related to the rms height, the correlation length, and the dielectric constant were collected. Discrepancies between the simulations of the advanced integral equation model (AIEM) and the radar data have indicated the inadequacy of the AIEM model under large roughness conditions. To address this limitation, a new two-stream long short-term memory–based network was developed to receive the radar and surface parameters, termed radar-surface network (RSNet). The proposed network was trained on a hybrid dataset consisting of 1) a simulated dataset generated based on the AIEM under a wide range of conditions and 2) the radar data reported in Ji Mo 2008 and Min Qin 2009 combined with those simulated to make the dataset more relevant to natural conditions. After training, extensive experiments were performed to evaluate the performance of the proposed backscatter model. Comparisons demonstrate that the predictions of RSNet are generally in good agreement with both simulations and measured data, in terms of magnitude and trend, thus demonstrating that the proposed model can yield trustworthy and high-quality backscatter estimations at L-band and S-band for dry soil surfaces under large roughness conditions.

Abstract Aqueous sodium-ion batteries are practically promising for large-scale energy storage, however energy density and lifespan are limited by water decomposition. Current methods to boost water stability include, expensive fluorine-containing salts to create a solid electrolyte interface and addition of potentially-flammable co-solvents to the electrolyte to reduce water activity. However, these methods significantly increase costs and safety risks. Shifting electrolytes from near neutrality to alkalinity can suppress hydrogen evolution while also initiating oxygen evolution and cathode dissolution. Here, we present an alkaline-type aqueous sodium-ion batteries with Mn-based Prussian blue analogue cathode that exhibits a lifespan of 13,000 cycles at 10 C and high energy density of 88.9 Wh kg−1 at 0.5 C. This is achieved by building a nickel/carbon layer to induce a H3O+-rich local environment near the cathode surface, thereby suppressing oxygen evolution. Concurrently Ni atoms are in-situ embedded into the cathode to boost the durability of batteries.

Objective: To synthesize novel bisacridine derivatives A1-A4 and study cytotoxicity and their interaction with c-myc G-quadruplex/i-motif DNA. Method: Bisacridines A1-A4 were synthesized according to the conventional reaction method. Fluorescence resonance energy transfer (FRET) melting assay, Surface Plasmon Resonance (SPR) measurement, CD experiments, and molecular docking were used to study the interactions between A1-A4 and c-myc promoter G-quadruplex/i-motif. MTT cytotoxicity assay was used to evaluate the cytotoxicity of the bisacridine derivatives A1-A4 against A375, Hela, A549, U2OS, HCT116, Siha, HuH7 cell lines. Result: The results of FRET melting assay and SPR measurement indicated that bisacridine derivatives A1-A4 could bind to and stabilize the c-myc G-quadruplex/i-motif structure. CD experiments and molecular docking results demonstrated the interaction between A1-A4 and c-myc G-quadruplex/i-motif. MTT experiments showed that A1-A4 exhibited strong inhibitory effects on the proliferation of human A375, Hela, A549, U2OS, HCT116, Siha, HuH7 cell lines. Conclusion: Bisacridine derivatives A1-A4 could bind to and stabilize the c-myc G-quadruplex/i-motif to inhibit the proliferation of human cancer cells and will potentially be developed into a class of small molecule ligands targeting c-myc G-quadruplex/i-motif.

Birds have remarkable flight capabilities due to their adaptive wing morphology. However, studying live birds is time-consuming and laborious, and obtaining information about the complete wingbeat cycle is difficult. To address this issue and provide a complete dataset, we recorded comprehensive motion capture wing trajectory data from five free-flying pigeons (Columba livia). Five key motion parameters are used to quantitatively characterize wing kinematics: flapping, sweeping, twisting, folding and bending. In addition, the forelimb skeleton is mapped using an open-chain three-bar mechanism model. By systematically evaluating the relationship of joint degrees of freedom (DOFs), we configured the model as a 3-DOF shoulder, 1-DOF elbow and 2-DOF wrist. Based on the correlation analysis between wingbeat kinematics and joint movement, we found that the strongly correlated shoulder and wrist roll within the stroke plane cause wing flap and bending. There is also a strong correlation between shoulder, elbow and wrist yaw out of the stroke plane, which causes wing sweep and fold. By simplifying the wing morphing, we developed three flapping wing robots, each with different DOFs inside and outside the stroke plane. This study provides insight into the design of flapping wing robots capable of mimicking the 3D wing motion of pigeons.