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Single-atom skeletal editing is an increasingly powerful tool for scaffold hopping-based drug discovery. However, the insertion of a functionalized carbon atom into heteroarenes remains rare, especially when performed in complex chemical settings. Despite more than a century of research, Ciamician-Dennstedt (C-D) rearrangement remains limited to halocarbene precursors. Herein, we report a general methodology for the Ciamician-Dennstedt reaction using α-halogen-free carbenes generated in situ from N-triftosylhydrazones. This one-pot, two-step protocol enables the insertion of various carbenes, including those previously unexplored in C-D skeletal editing chemistry, into indoles/pyrroles scaffolds to access 3-functionalized quinolines/pyridines. Mechanistic studies reveal a pathway involving the intermediacy of a 1,4-dihydroquinoline intermediate, which could undergo oxidative aromatization or defluorinative aromatization to form different carbon-atom insertion products. Ciamician–Dennstedt rearrangement remains limited to halocarbene precursors. Herein, the authors report a general methodology for the Ciamician-Dennstedt reaction using α-halogen-free carbenes generated in situ from N-triftosylhydrazones. [ABSTRACT FROM AUTHOR]

Background: The detection of pathogen-associated molecular patterns (PAMPs) or damage-associated molecular patterns (DAMPs) by multimeric protein complexes, known as inflammasomes, triggers an inflammatory response, which is a critical component of the innate immune system. This inflammatory response plays a pivotal role in host resistance against parasitic infections, presenting a significant global health challenge. Methods: We systematically searched for relevant articles from the Pubmed and the Web of Science database to summarize current insights into how inflammasomes function in preventing infections caused by the apicomplexan parasites Toxoplasma and Plasmodium. Results: In vivo and in vitro studies have extensively explored inflammasomes such as the absent in melanoma 2 (AIM2), NLR family pyrin-containing protein 1 (NLRP1), NLRP3, and NLRP12 inflammasomes, alongside noncanonical inflammasomes, with particular emphasis on the NLRP1 and the NLRP3 inflammasome during Toxoplasma gondii infection or the AIM2 and the NLRP3 inflammasome at various stages of Plasmodium infection. Toxoplasma gondii interacts with inflammasomes to activate or inhibit immune responses. Conclusions: Inflammasomes control parasite burden and parasite-induced cell death, contribute to immune recognition and inflammatory responses and thus influence apicomplexan parasite-associated pathogenesis and the severity of clinical outcomes. Hence, inflammasomes play crucial roles in the progression and outcomes of toxoplasmosis and malaria. A comprehensive understanding of how parasitic infections modulate inflammasome activity enhances insight into host immune responses against parasites. [ABSTRACT FROM AUTHOR]

Iron sulfide catalysts could boost the hydrogenation of polycyclic aromatic hydrocarbons, and have been widely employed in direct coal liquefaction owing to their low price and good activity. In the past, the Fe deficient structure on Fe1−xS was normally considered as the active site. Herein, the promotion effect of S vacancies on the performance in the naphthalene hydrogenation reaction was revealed. Additional S vacancies on the prepared Fe1−xS catalyst were introduced by a heat‐treatment under H2. Multiple characterization techniques verified that the density of S vacancies on catalyst surface increased with the prolonged H2 treatment time, while the Fe deficient structure displayed an opposite trend. The performance in the hydrogenation of naphthalene to tetralin was used to evaluate the catalyst activity. It was found that the sequence of naphthalene conversion over catalysts was consistent with the corresponding content of S vacancies, indicating that S vacancies were more efficient active sites. DFT calculation results revealed that both molecular H2 and naphthalene exhibited a pronounced inclination towards adsorption on S vacancies as compared to intact surface of Fe1−xS. The increasing amount of S vacancies facilitated the adsorption of reactants and the weakening of naphthalene C−C bonds. [ABSTRACT FROM AUTHOR]

Dolichandrone spathacea is a mangrove associate with high medicinal and ecological values. However, due to the dual-pressure of climate change and human activities, D. spathacea has become endangered in China. Moreover, misidentification between D. spathacea and its terrestrial relative D. cauda-felina poses further challenges to field protection and proper medicinal usage of D. spathacea. Thus, to address these problems, we sequenced and assembled mitochondrial (mt) and chloroplast (cp) genomes for both D. spathacea and D. cauda-felina. Comparative analysis revealed apparently different size and scaffold number between the two mt genomes, but a high similarity between the cp genomes. Eight regions with high sequence divergence were identified between the two cp genomes, which might be used for developing candidate DNA markers for distinguishing the two species. The splitting between D. spathacea and D. cauda-felina was inferred to occur at ~6.8 - 7.7 million years ago (Mya), which may be driven by the environment fluctuations in late Miocene. In the cp genome, 12 genes related to the expression of photosynthesis-associated proteins were detected with signatures of positive selection, which may contribute to the origin and evolutionary adaptation of Dolichandrone mangrove species. These new findings do not only enrich organelle genomic resources of Dolichandrone species, but also provide important genetic clues for improving the conservation and proper usage of endangered mangrove associate D. spathacea. [ABSTRACT FROM AUTHOR]

The method of combining test and simulation was adopted to explore the failure process and load distribution of the structure under axial compression load. The failure mode of the inclined sandwich structure was investigated by experiments. Hashin criterion and cohesive force element were introduced to establish finite element analysis model for damage simulation. The results showed that the root edge was the maximum stress area of the sandwich structure. The initial damage appeared in the bonding layer at the sharp corner of the root, and gradually expanded at the adhesion between the bottom panel and the foam, resulting in the stiffness of the lower panel plummeting and breaking. [ABSTRACT FROM AUTHOR]

The objective of this study was to identify the most suitable high‐oleic rapeseed blended oil for frying. Six high‐oleic rapeseed blended oils were formulated based on a polyunsaturated fatty acid/saturated fatty acid ratio of 2.0 and an n‐3 fatty acid/n‐6 fatty acid ratio of 1:4–1:6, after which the physiochemical properties, frying performance, tocopherol content, and hazardous substance contents were evaluated. The blended oil containing high‐oleic rapeseed oil: soybean oil: palm oil (85:12:3) had a reasonable fatty acid composition, better oxidative stability index (9.05 h), higher total tocopherol content (0.3 mg/kg), and longer time to reach a total polar component content of 27% (29.3 h). Moreover, after frying for 30 h, the peroxide value (7.25 mmol/kg), residual oil rate (0.57%), trans‐fatty acid content (0.37%), malondialdehyde content (1.57 μg/kg), and 3‐monochloro‐1,2‐propanediol ester content (0.24 mg/kg) were lower than those of the other samples. Principal component analysis revealed that the quality of the high‐oleic rapeseed blended oil was positively correlated with benzo[a]pyrene, 18:2, and 18:3, and negatively correlated with the residual oil rate, trans‐fatty acids, and 18:1 content. This high‐oleic rapeseed blended oil is potentially suitable for frying. [ABSTRACT FROM AUTHOR]

Idiopathic pulmonary fibrosis (IPF) is a lethal disorder characterized by relentless progression of lung fibrosis that causes respiratory failure and early death. Currently, no curative treatments are available, and existing therapies include a limited selection of antifibrotic agents that only slow disease progression. The development of novel therapeutics has been hindered by a limited understanding of the disease's etiology and pathogenesis. A significant challenge in developing new treatments and understanding IPF is the lack of in vitro models that accurately replicate crucial microenvironments. In response, three-dimensional (3D) in vitro models have emerged as powerful tools for replicating organ-level microenvironments seen in vivo. This review summarizes the state of the art in advanced 3D lung models that mimic many physiological and pathological processes observed in IPF. We begin with a brief overview of conventional models, such as 2D cell cultures and animal models, and then explore more advanced 3D models, focusing on lung-on-a-chip systems. We discuss the current challenges and future research opportunities in this field, aiming to advance the understanding of the disease and the development of novel devices to assess the effectiveness of new IPF treatments. [ABSTRACT FROM AUTHOR]

Background and Objectives Older adults are vulnerable to social isolation, making it crucial to understand its impact on dementia risk. Yet, existing evidence lacks consistency, with studies using varied measures of social isolation and overlooking potential confounders. We aim to investigate the associations between social isolation and dementia risk among older adults, hypothesizing that this association may diminish after adjusting for confounding factors. Research Design and Methods We used 2 977 community-dwelling older adults who had no dementia in 2015 from National Health and Aging Trends. Group-based trajectory modeling was used to analyze the trajectories of social isolation, depression, and anxiety from 2011 to 2015. Cox proportional hazards regression models were then employed to estimate the association between social isolation trajectories and incident dementia from 2015 to 2022, adjusting for demographic variables, depression, anxiety, self-rated health, smoking status, and cardiovascular disease-related variables. Results Three social isolation trajectories were identified: minimal, moderate, and high levels of social isolation. During a mean follow-up of 3.6 years, 19.0% of participants were diagnosed with dementia. When only demographics were adjusted, individuals in the moderate social isolation group were 22% less likely to develop dementia compared to those with high social isolation. This association between social isolation and incident dementia became nonsignificant after further adjustment for depression, anxiety, and health indicators. Discussion and Implications The association between social isolation and dementia risk may be mediated by factors such as depression and other health indicators. [ABSTRACT FROM AUTHOR]

Introduction:Artemisia species are widely spread in north hemisphere. Artemisia sieversiana pollen is one of the common pollen allergens in the north of China. At present, seven allergens were identified and had been listed officially from A. sieversiana pollen, but the remaining allergens are still insufficiently studied, which need to be found. Methods: Pectate lyase was purified from the extracts of A. sieversiana pollen by anion exchange, size exclusion, and HPLC-hydrophobic interaction chromatography. The gene of A. sieversiana pectate lyase (Art si pectate lyase) was cloned and expressed in Escherichia coli. The enzyme activity and circular dichroism (CD) spectrum of natural and recombinant proteins were analyzed. The allergenicity of Art si pectate lyase was characterized by enzyme-linked immunosorbent assay (ELISA), Western blot, inhibition ELISA, and basophil activation test. The allergen's physicochemical properties, three-dimensional structure, sequence profiles with homologous allergens and phylogenetic tree were analyzed by in silico methods. Results: Natural Art si pectate lyase (nArt si pectate lyase) was purified from A. sieversiana pollen extracts by three chromatographic strategies. The cDNA sequence of Art si pectate lyase had a 1191-bp open reading frame encoding 396 amino acids. Both natural and recombinant pectate lyase (rArt si pectate lyase) exhibited similar CD spectrum, and nArt si pectate lyase had higher enzymatic activity. Moreover, the specific immunoglobulin E (IgE) binding rate against nArt si pectate lyase and rArt si pectate lyase was determined as 40% (6/15) in patients' serum with Artemisia species pollen allergy by ELISA. The nArt si pectate lyase and rArt si pectate lyase could inhibit 76.11% and 47.26% of IgE binding activities to the pollen extracts, respectively. Art si pectate lyase was also confirmed to activate patients' basophils. Its structure contains a predominant motif of classic parallel helical core, consisting of three parallel β-sheets, and two highly conserved features (vWiDH, RxPxxR) which may contribute to pectate lyase activity. Moreover, Art si pectate lyase shared the highest sequence identity of 73.0% with Art v 6 among currently recognized pectate lyase allergen, both were clustered into the same branch in the phylogenetic tree. Conclusion: In this study, pectate lyase was identified and comprehensively characterized as a novel allergen in A. sieversiana pollen. The findings enriched the allergen information for this pollen and promoted the development of component-resolved diagnosis and molecular therapy of A. sieversiana pollen allergy. [ABSTRACT FROM AUTHOR]

Parkinson's disease (PD) is a complex neurodegenerative disorder characterized by the progressive loss of dopaminergic neurons, leading to motor and non-motor symptoms. Emerging research has shed light on the role of gut microbiota in the pathogenesis and progression of PD. Nutraceuticals such as curcumin, berberine, phytoestrogens, polyphenols (e.g., resveratrol, EGCG, and fisetin), dietary fibers have been shown to influence gut microbiota composition and function, restoring microbial balance and enhancing the gut-brain axis. The mechanisms underlying these benefits involve microbial metabolite production, restoration of gut barrier integrity, and modulation of neuroinflammatory pathways. Additionally, probiotics and prebiotics have shown potential in promoting gut health, influencing the gut microbiome, and alleviating PD symptoms. They can enhance the gut's antioxidant capacity of the gut, reduce inflammation, and maintain immune homeostasis, contributing to a neuroprotective environment. This paper provides an overview of the current state of knowledge regarding the potential of nutraceuticals and gut microbiota modulation in the prevention and management of Parkinson's disease, emphasizing the need for further research and clinical trials to validate their effectiveness and safety. The findings suggest that a multifaceted approach involving nutraceuticals and gut microbiota may open new avenues for addressing the challenges of PD and improving the quality of life for affected individuals. [ABSTRACT FROM AUTHOR]

In the age of intelligent manufacturing, surface defect detection plays a pivotal role in the automated quality control of industrial products, constituting a fundamental aspect of smart factory evolution. Considering the diverse sizes and feature scales of surface defects on industrial products and the difficulty in procuring high-quality training samples, the achievement of real-time and high-quality surface defect detection through artificial intelligence technologies remains a formidable challenge. To address this, we introduce a defect detection approach grounded in the Fast Denoising Probabilistic Implicit Models. Firstly, we propose a noise predictor influenced by the spectral radius feature tensor of images. This enhancement augments the ability of generative model to capture nuanced details in non-defective areas, thus overcoming limitations in model versatility and detail portrayal. Furthermore, we present a loss function constraint based on the Perron-root. This is designed to incorporate the constraint within the representational space, ensuring the denoising model consistently produces high-quality samples. Lastly, comprehensive experiments on both the Magnetic Tile and Market-PCB datasets, benchmarked against nine most representative models, underscore the exemplary detection efficacy of our proposed approach. [ABSTRACT FROM AUTHOR]

This study explored the characteristics of Monascus-fermented sorghum sourdough bread (MSSB) that was prepared through sequential fermentation using Monascus purpureus LZSM06 and Lactiplantibacillus plantarum LZSR03. The findings revealed a remarkable accumulation of Monascus pigments in Monascus-fermented sorghum flour (MS), with Monacolin K and GABA reaching 34.73 mg/100 g and 29.91 mg/100 g, respectively. By incorporating MS with sourdough technology, MSSB presented an increased loaf volume, improved texture, and a burgundy color, which was more favorably accepted than the other three breads. Meanwhile, the total phenolic content, antioxidant activity, and GABA contents in MSSB were the highest (P < 0.05). Despite the slight off-flavor imparted by MS, the flavor complexity was enhanced in MSSB, particularly in terms of types and levels of alcohols, acids, and esters. These findings suggested that pre-fermentation with Monascus purpureus can improve baking characteristics, nutritional value, and overall sensory acceptance of sorghum sourdough bread, thus providing insights into innovation in this field. [ABSTRACT FROM AUTHOR]

Let 퐺 be a finite solvable permutation group acting faithfully and primitively on a finite set Ω. Let G 0 be the stabilizer of a point 훼 in Ω. The rank of 퐺 is defined as the number of orbits of G 0 in Ω, including the trivial orbit { α } . In this paper, we completely classify the cases where 퐺 has rank 5 and 6, continuing the previous works on classifying groups of rank 4 or lower. [ABSTRACT FROM AUTHOR]

Methamphetamine (MA) is a neurological drug, which is harmful to the overall brain cognitive function when abused. Based on this property of MA, people can be divided into those with MA abuse and healthy people. However, few studies to date have investigated automatic detection of MA abusers based on the neural activity. For this reason, the purpose of this research was to investigate the difference in the neural activity between MA abusers and healthy persons and accordingly discriminate MA abusers. First, we performed event-related potential (ERP) analysis to determine the time range of P300. Then, the wavelet coefficients of the P300 component were extracted as the main features, along with the time and frequency domain features within the selected P300 range to classify. To optimize the feature set, F_score was used to remove features below the average score. Finally, a Bidirectional Long Short-term Memory (BiLSTM) network was performed for classification. The experimental result showed that the detection accuracy of BiLSTM could reach 83.85%. In conclusion, the P300 component of EEG signals of MA abusers is different from that in normal persons. Based on this difference, this study proposes a novel way for the prevention and diagnosis of MA abuse. [ABSTRACT FROM AUTHOR]

Objective: The aim of our study was to evaluate the indocyanine green (ICG) retention test as a noninvasive marker of esophageal varices(EV). Methods: The clinical data of patients diagnosed with compensated liver cirrhosis in Tianjin Second People's Hospital between January 2018 and January 2021 were analysed with SPSS 23.0. Result: A total of 144 patients (88 M/56 F, 51.7 ± 11.06 years) were enrolled. The ICG retention at 15 min(ICG-r15), PVD, TBIL, Cholinesterase(CHE), AST to ALT ratio(ARR), APRI, splenic area, Lok index, Park index and liver stiffness measurement in the absent or small EV group were lower than those in the medium or large EV group, while the ICG disappareance rate(ICG-K), Effective hepatic blood flow(EHBF), ALB, PLT, and Platelet to Spleen Diameter Ratio(PSDR) were higher, and the differences were significant (P < 0.05). ICG-r15, splenic area, APRI and PLT were independent predictors for medium or large esophageal varices (OR = 1.115, 1.025, 0.281, and 0.987, respectively,P < 0.05). The predictive value of ICG-r15 for medium or large varices was 17.95%, the specificity was 0.849, and the sensitivity was 0.662, the AUROC was 0.815. The cut-off value of PLT for M/L EV was 113.5, and the specificity and sensitivity were 0.616 and 0.887, the AUROC was 0.759. The AUROC of ICG-r15 combined with PLT was 0.866, which was more superior than others. Conclusion: Although we are far from the replacement of endoscopy, ICG-r15 combined with PLT seems to be able to identify patients with medium or large EV in patients with compensated liver cirrhosis. [ABSTRACT FROM AUTHOR]

Low‐intensity pulsed ultrasound (LIPUS) and electrical stimulation (ES) are effective methods that promote neural repair. However, ES usually requires electrode implantation and a power supply, which are an inconvenience to future applications. Meanwhile, it is difficult to combine ultrasound and ES through traditional methods. Herein, a nanopatch consisting of an oriented barium titanate (BTO)‐incorporated polycaprolactone (PCL) nanofiber membrane for electricity generation and a layer of graphene oxide (GO)‐doped gelatin methacryloyl (GelMA) for neural interaction is developed. This band‐aid‐like BTO@PCL/GO@GelMA nanopatch has an excellent piezoelectric performance. In vitro, the nanopatches significantly promote axonal growth under LIPUS treatment. In a rat model of erectile dysfunction caused by peripheral nerve injury, the nanopatch is easily attached to a damaged nerve similar to a band‐aid. With the assistance of ultrasound, some mechanical energy is converted into electricity by the nanopatch, and synergistic neural stimulation of ultrasound and electricity is achieved. In this way, the nanopatch significantly promoted corpus cavernosum nerve repair, resulting in the improvement of tissue structure and erectile function as well as increased conception rate in female rats. In conclusion, the nanopatch offers a synergistic ultrasound‐ES for nerve repair easily and represents a novel strategy for peripheral nerve repair. [ABSTRACT FROM AUTHOR]

Text classification, as an important research area of text mining, can quickly and effectively extract valuable information to address the challenges of organizing and managing large-scale text data in the era of big data. Currently, the related research on text classification tends to focus on the application in fields such as information filtering, information retrieval, public opinion monitoring, and library and information, with few studies applying text classification methods to the field of tourist attractions. In light of this, a corpus of tourist attraction description texts is constructed using web crawler technology in this paper. We propose a novel text representation method that combines Word2Vec word embeddings with TF-IDF-CRF-POS weighting, optimizing traditional TF-IDF by incorporating total relative term frequency, category discriminability, and part-of-speech information. Subsequently, the proposed algorithm respectively combines seven commonly used classifiers (DT, SVM, LR, NB, MLP, RF, and KNN), known for their good performance, to achieve multi-class text classification for six subcategories of national A-level tourist attractions. The effectiveness and superiority of this algorithm are validated by comparing the overall performance, specific category performance, and model stability against several commonly used text representation methods. The results demonstrate that the newly proposed algorithm achieves higher accuracy and F1-measure on this type of professional dataset, and even outperforms the high-performance BERT classification model currently favored by the industry. Acc, marco-F1, and mirco-F1 values are respectively 2.29%, 5.55%, and 2.90% higher. Moreover, the algorithm can identify rare categories in the imbalanced dataset and exhibit better stability across datasets of different sizes. Overall, the algorithm presented in this paper exhibits superior classification performance and robustness. In addition, the conclusions obtained by the predicted value and the true value are consistent, indicating that this algorithm is practical. The professional domain text dataset used in this paper poses higher challenges due to its complexity (uneven text length, relatively imbalanced categories), and a high degree of similarity between categories. However, this proposed algorithm can efficiently implement the classification of multiple subcategories of this type of text set, which is a beneficial exploration of the application research of complex Chinese text datasets in specific fields, and provides a useful reference for the vector expression and classification of text datasets with similar content. [ABSTRACT FROM AUTHOR]

CO2 reduction photocatalysts are favorable for obtaining renewable energy. Enriched active sites and effective photogenerated‐carriers separation are keys for improving CO2 photo‐reduction. A thulium (Tm) single atom tailoring strategy introducing carbon vacancies in porous tubular graphitic carbon nitride (g‐C3N4) surpassing the ever‐reported g‐C3N4 based photocatalysts, with 199.47 µmol g−1 h−1 CO yield, 96.8% CO selectivity, 0.84% apparent quantum efficiency and excellent photocatalytic stability, is implemented in this work. Results revealed that in‐plane Tm sites and interlayer‐bridged Tm‐N charge transfer channels significantly enhanced the aggregation/transfer of photogenerated electrons thus promoting CO2 adsorption/activation and contributing to *COOH intermediates formation. Meanwhile, Tm atoms and carbon vacancies both benefit for rich active sites and enhanced photogenerated‐charge separation, thus optimizing reaction pathway and leading to excellent CO2 photo‐reduction. This work not only provides guidelines for CO2 photo‐reduction catalysts design but also offers mechanistic insights into single‐atom based photocatalysts for solar fuel production. [ABSTRACT FROM AUTHOR]

Quantifying the aging mechanisms and their evolution patterns during battery aging is crucial for enabling renewable energy. Here, key factors are monitored and quantified affecting the aging processes of LiFePO4//graphite battery by a combination of mass spectrometry titration (MST), nuclear magnetic resonance (NMR), cryogenic transmission electron microscopy (cryo‐TEM), and neutron imaging techniques. Electrochemical analysis reveals the loss of active lithium inventory drives battery aging as temperature increases. It is shown that temperature‐induced accelerated decaying rate is 2.01 and 3.45 times at 45 and 65 °C compared with that of rate at 25 °C. Quantitative analysis indicates that irreversible formation of LixC6 (x ≤ 1), LiF, ROCO2Li, LiH, Li2C2, and RLi (R = CH3, C2H3, C2H5, C3H5) are the primary components of inactive lithium. The solid eletrolyte interpahse (SEI), excluding LixC6, constitutes over 70% of the total inactive lithium. With increasing cycles, SEI shows a decreasing proportion of LiF and an increasing proportion of ROCO2Li. The coupled effects of substantial SEI growth, increased irreversible formation of LixC6, and worsened conductivity result in the rapid aging of batteries tested at high temperatures. In this work, a research toolbox for the quantitative study of aging mechanisms in practical batterysystems has been provided. [ABSTRACT FROM AUTHOR]

Poly ether ether ketone (PEEK) is a premier engineering plastic, which has gained considerable attention in recent years. Our prior research investigated crystallization template techniques and pore formation mechanisms within the PEEK/poly (ether imide) system, paving the way for the development of hierarchically porous membranes (HPMs). Compared to single‐porous membranes, HPMs demonstrate enhanced flux and high mass transfer efficiency simultaneously, effectively mitigating the trade‐off effects. In this study, we focused on fabricating PEEK HPMs through precise manipulation of a polymer ternary blend system. The meticulous tuning enables intricate control of the hierarchical pore morphology of PEEK at two distinct scales. The finite element simulations not only underscored the crucial role of hierarchical pores in bolstering separation efficiency, but also exhibited strong concordance with the experimental findings. This study provides guidance for future optimization of HPMs with superior separation performance. [ABSTRACT FROM AUTHOR]

Endothelial cells (ECs) are pivotal in maintaining vascular health, regulating hemodynamics, and modulating inflammatory responses. Nanocarriers hold transformative potential for precise drug delivery within the vascular system, particularly targeting ECs for therapeutic purposes. However, the complex interactions between vascular ECs and nanocarriers present significant challenges for the development and clinical translation of nanotherapeutics. This review assesses recent advancements and key strategies in employing nanocarriers for drug delivery to vascular ECs. It suggested that through precise physicochemical design and surface modifications, nanocarriers can enhance targeting specificity and improve drug internalization efficiency in ECs. Additionally, we elaborated on the applications of nanocarriers specifically designed for targeting ECs in the treatment of cardiovascular diseases, cancer metastasis, and inflammatory disorders. Despite these advancements, safety concerns, the complexity of in vivo processes, and the challenge of achieving subcellular drug delivery remain significant obstacles to the effective targeting of ECs with nanocarriers. A comprehensive understanding of endothelial cell biology and its interaction with nanocarriers is crucial for realizing the full potential of targeted drug delivery systems. [ABSTRACT FROM AUTHOR]

Goaf instability poses significant hazards, affecting mine safety and public welfare. This study aims to evaluate the risk of goaf instability to enhance safety measures in mining operations. Thirteen key indicators were identified to construct a comprehensive evaluation index system. By integrating game theory, we combined subjective and objective weights to develop a constant weight model, which was subsequently improved by considering data distribution characteristics to develop a local variable weight model. The variable weight intervals were determined through cumulative frequency analysis of normalized factor indices, and the Monte Carlo method was employed to define weight adjustment parameters. Using the cloud model, we assessed the instability risk of goafs. Our results indicate that the variable weight model provides higher evaluation accuracy compared to the constant weight model, offering clearer and more distinguishable membership degrees for the evaluation outcomes, suggesting its potential for more precise risk assessments in mining operations. [ABSTRACT FROM AUTHOR]

Clean and O-(2 2 × 2 ) R45° Cu(100) surfaces were prepared to study the impact of surface oxygen on the activation of methane dissociation. Auger electron spectroscopy, low energy electron diffraction, infrared reflection absorption spectroscopy, scanning tunneling microscope, and a quadrupole mass-spectrometer for temperature programmed desorption were used to explore the behavior of CH4 on the two surfaces. The dissociative adsorption of CH4 was observed on oxygen-pre-covered Cu(100) but not on the clean surface indicating surface oxygen promotes the dissociation of the C–H bond. This study can be a reference for the conversion of methane into other high-value-added products with high efficiency and low energy consumption. [ABSTRACT FROM AUTHOR]

Vertebrates exhibit a left–right asymmetry from the central structures to the peripheral paired endocrine organs. However, the asymmetries in paired endocrine glands and the pathological consequences of such asymmetries remain largely unknown. The adrenal gland constitutes a pair of peripheral end organs in the neuroendocrine system, responsible for producing steroid hormones under stimuli. In the present study, the lateralized asymmetry of left and right adrenal glands in leptin receptor-deficit db/db mice was investigated. First, a morphological and histological examination showed that adrenal mass and adrenal cortex volume in db/db mice were significantly higher than in non-diabetic control mice. Then, adrenal transcriptomic and serum metabolomic analyses were performed. Adrenal steroid profiling showed that the levels of corticosterone and aldosterone in the right adrenal gland of db/db mice were two times higher than in the left one. The expression of multiple genes related to adrenal regeneration and innervation in db/db mice was reduced in contrast to the increased steroid hormone secretion. Furthermore, an examination of morphogens in asymmetric adrenal development revealed a significant differential expression of Shh and its receptor gene Ptch1. In conclusion, the present study has provided evidence that a superior steroidogenesis exists in the right adrenal gland of db/db mice and suggested that Shh signaling may play an important role in asymmetric adrenal responses in type 2 diabetes and its complications. [ABSTRACT FROM AUTHOR]

To clarify the strengthening mechanisms of medium‐chromium stainless steels (SSs) with carbides, ferrite, and martensite, 17%Cr SSs with varying martensite contents have been prepared, and the influence of martensite on microstructure, mechanical properties, and fracture has been investigated. According to THERMOCALC calculations, 17%Cr SS undergo a reversible phase transition between austenite and ferrite + M23C6 through the diffusion of carbon in austenite and M23C6 in the temperature range of 850–1220 °C. As the martensite content increases, M23C6 decreases, the martensite grain size increases, and the ferrite grain size initially increases and then decreases. Meanwhile, the yield strength and ultimate tensile strength increase, while both the uniform and post‐uniform elongation decrease. It is also found a decrease in work‐hardening index and an increase in work‐hardening rate with increasing martensite content. Under tensile loading, three types of voids are present in 17%Cr SS: type A only in the grain boundary (GB) area with M23C6 in martensite‐free material and type B and C in ferrite grains close to martensite grains and at ferrite/martensite GBs, respectively. An increase in martensite content leads to more voids, indicating a reduction in material plasticity caused by martensite. [ABSTRACT FROM AUTHOR]

Applying evidence theory to structural reliability analysis under epistemic uncertainty, it is necessary to consider the correlation of evidence variables. Among them, solving the joint basic probability assignment (BPA) of the evidence variables is a crucial link. In this study, a solution method of joint BPA based on neural network copula function is proposed. This method is to automatically construct copula function through neural network, which avoids the process of selecting the optimal copula function. Firstly, the neural network copula function is constructed based on the sample set of evidence variables. Then, the expression for solving the joint BPA using the neural network copula function is derived through vectors. Furthermore, the expression is used to map the marginal BPA of evidence variables to joint BPA, thus realizing the solution of joint BPA. Finally, the effectiveness of this method is verified by three examples. The results show that the neural network copula function describes the data distribution better than the optimal copula function selected by the traditional method. In addition, there is actually an error in solving the reliability intervals using the traditional optimal copula function method, whereas the results of this paper's neural network copula function method are more accurate and better for decision making. [ABSTRACT FROM AUTHOR]

[Objective] With the continuous development of the structural system in high-rise buildings, pendulum dampers have become widely used to enhance the comfort and safety of these structures. However, the complexity and abstractness of the vibration reduction principle of pendulum dampers challenge the high-quality teaching of the structural design course of high-rise buildings in colleges and universities, which presents significant obstacles to the training of innovative talents in the field of structural engineering. To achieve high-quality education and effective research, a demonstration model that clearly illustrates the damping effect of pendulum dampers needs to be established. This demonstration model will aid students in mastering relevant theories and realizing independent innovation in building structures. [Methods] Based on the existing shaking table device, a simple structural model of a high-rise building was constructed using bamboo, glue, and weights. By adjusting different excitation forces, the vibration effects were demonstrated both with and without a pendulum damper. In this study, mechanical schematic diagrams were obtained from the demonstration models, and a mechanical principle analysis was performed. Teaching was conducted in combination with the demonstration model so that the students could clearly and intuitively understand the vibration reduction principle, resonance effect, and vibration characteristics under different amplitude and frequency conditions. This approach deepened the students' understanding of relevant theories and enhanced their analytical ability. Following the teaching demonstration, the students were encouraged to independently operate the teaching experiment, repair the broken nodes, and innovate the structural model. Through this method, students' comprehension of relevant theories and understanding of structural vibration damage was improved, and students' practical ability and innovative thinking were enhanced. This research established the teaching mode that integrates model demonstration, principle analysis, and practical innovation, ensuring high-quality teaching outcomes. [Results] By combining the teaching mode of experimental design, principle analysis, and practical innovation, students' understanding and interest in damping principles and mechanics are enhanced. The students' subjective initiative and innovative thinking in experimental research are stimulated, significantly improving teaching quality and effectively addressing the issue of a poor theoretical teaching effect. The experimental process and analysis involve various disciplines, such as material engineering, structural engineering, structural dynamics, and vibration, which enhance students' ability to comprehensively utilize multidisciplinary knowledge to solve practical problems. In addition, teaching resources can be integrated on this basis, and relevant discipline competitions can be set up to improve resource utilization and ensure teaching outcomes. [Conclusions] The demonstration teaching experiment design can make the complex mechanism and theory more comprehensible for students, thereby fostering deeper thinking and exploration into pendulum damping and vibration reduction in high-rise buildings and enhancing teaching effectiveness and quality. Adopting this novel teaching mode is crucial for cultivating students' scientific research, practice abilities, and innovative thinking abilities. Ultimately, this novel teaching mode is proven to be a direct and effective method to elevate the quality of talent training. [ABSTRACT FROM AUTHOR]

The artificial visual method is currently commonly used to decipher multi-beam water column images to obtain the position and state of lost shipping containers. However, the recognition efficiency and accuracy of this method need to be improved. The You Only Look Once (YOLO) series model has strong real-time target detection capability. Meanwhile, the Segment Anything Model (SAM) has strong zero-shot transferability. A detection and extraction method for lost shipping containers, which combines the two models mentioned above, is proposed in this study. First, the YOLO series model is employed to detect lost shipping container targets in a single-frame water column image. On this basis, the output of bounding box positions by the optimal target detection model is used as a prompt for the SAM. Finally, the SAM is used to extract lost shipping container targets in images through zero-shot transferability. Experimental results in the Pearl River estuary show that the combined modelling method of YOLOv5-n and EdgeSAM-3× achieves the best overall performance. The precision and recall for the detection of lost shipping containers by this method is better than 95%. In terms of target extraction, YOLOv5-n and EdgeSAM-3× have the best Intersection over Union, recall, and F1 scores. [ABSTRACT FROM AUTHOR]

Image composition has always been one of the primary considerations for professional photography, and good composition can greatly enhance the perception of an image. However, it is difficult for most ordinary users to compose images quickly. To solve this challenge, we propose a new view adjustment method to improve image composition in this paper, assisting users in adjusting views promptly. We establish a composition feature extraction module, which can extract composition information of images based on professional photographic composition rules. Based on this module, we construct an image aesthetic assessment network to score the adjustment results. Additionally, we employ the concept of the hyper-net in our design to build a parameter generation-prediction network, enabling the application of view adjustment rules. In addition, we create a usable view adjustment dataset based on an existing image cropping dataset, which includes samples of displacement adjustment, scale adjustment, rotation adjustment, and their combined adjustment types to facilitate model training. Through experimentation, our model has demonstrated outstanding performance with an MAE score of 0.0392, an MSE score of 0.0037, and an IoU score of 0.783. Experimental results indicate that our proposed view adjustment method effectively improves the image composition, enabling real-time guidance for users to capture well-composed photographs. [ABSTRACT FROM AUTHOR]

Infrared and visible image fusion (IVIF) is to achieve the fused images with multimodal complementary information of source images. To effectively fuse the complementary information, a dual-encoder network based on multi-layer feature fusion for IVIF is proposed, which can effectively fuse the features of source images at different levels. Specifically, a deep semantic information fusion module (DSIFM) is constructed to merge the deep-level features of the network at different scales. Meanwhile, considering the difference between infrared and visible features, a shallow-middle information fusion module (SMIFM) is built to integrate the shallow and middle features obtained by two encoders with the deep features delivered by the network. Furthermore, a joint loss function including sensitivity loss and structural similarity loss is defined to preserve the salient targets and texture features of source images in the fusion result. Qualitative and quantitative experimental results confirm the superiority of the proposed method over state-of-the-art approaches. Specifically, our method improves the MI and SSIM metrics by 60.78% and 17.45%, respectively, compared to the deep learning-based approach with the best average values on the TNO dataset. Our code is available on the website: https://github.com/yotick/IJMLC. [ABSTRACT FROM AUTHOR]

Introduction: Qi‐Fu‐Yin has been used to treat Alzheimer's disease (AD) in China. Oxidative stress has been recognized as a factor in AD progress. To date, there is no quality control method to ensure batch‐to‐batch consistency of Qi‐Fu‐Yin, and the potential antioxidant compounds in Qi‐Fu‐Yin remain uncertain. Objectives: The aim of this study is to identify the potential antioxidant compounds of Qi‐Fu‐Yin and establish quality control standards for Qi‐Fu‐Yin. Methods: High‐performance liquid chromatography was used to establish and quantify the fingerprints of Qi‐Fu‐Yin from various batches. Ultrahigh‐performance liquid chromatography coupled with quadrupole time‐of‐flight tandem mass spectrometry (UHPLC‐Q‐TOF/MS) was used to identify the common peaks. Bivariate correlation analysis, partial least squares regression analysis, and gray correlation analysis were used to establish the spectrum–effect relationship. Results: Forty‐nine common peaks were determined through the establishment of fingerprints. Among them, 35 common peaks were preliminarily characterized. The multiple statistical correlation analysis methods identified six compounds as potential antioxidant constituents of Qi‐Fu‐Yin, and their antioxidant activities were validated in vitro. All six antioxidant compounds derived from two herbs. Therefore, three chemical index compounds derived from other three herbs were added to the quantitative analysis, while for two herbs, no peaks could be included. Eventually, six antioxidant constituents and three index compounds were quantitatively determined to provide a relatively comprehensive quality control for Qi‐Fu‐Yin. Conclusions: The study elucidated the antioxidant substance basis of Qi‐Fu‐Yin and provided a relatively comprehensive approach for the assay of Qi‐Fu‐Yin, which is a promising advance in the quality control of Qi‐Fu‐Yin. Firstly, common peaks of Qi‐Fu‐Yin from batch‐to‐batch were determined and identified using HPLC fingerprints and UHPLC/MS. Subsequently, multiple statistical correlation analysis methods established a spectrum‐effect relationship, identifying potential antioxidant compounds, which were validated in vitro. Ultimately, by combining antioxidant and index compounds, quality control standards for Qi‐Fu‐Yin were established, providing crucial scientific evidence for its standardization and consistency. [ABSTRACT FROM AUTHOR]

A ketogenic diet (KD) is a high-fat, low-carbohydrate, and low-protein diet that exerts antiepileptic effects by attenuating spontaneous recurrent seizures, ameliorating learning and memory impairments, and modulating the gut microbiota composition. However, the role of the gut microbiome in the antiepileptic effects of a KD on temporal lobe epilepsy (TLE) induced by lithium-pilocarpine in adult rats is still unknown. Our study provides evidence demonstrating that a KD effectively mitigates seizure behavior and reduces acute-phase epileptic brain activity and that KD treatment alleviates hippocampal neuronal damage and improves cognitive impairment induced by TLE. We also observed that the beneficial effects of a KD are compromised when the gut microbiota is disrupted through antibiotic administration. Analysis of gut microbiota components via 16S rRNA gene sequencing in fecal samples collected from TLE rats fed either a KD or a normal diet. The Chao1 and ACE indices showed decreased species variety in KD-fed rats compared to TLE rats fed a normal diet. A KD increased the levels of Actinobacteriota, Verrucomicrobiota and Proteobacteria and decreased the level of Bacteroidetes. Interestingly, the abundances of Actinobacteriota and Verrucomicrobiota were positively correlated with learning and memory ability, and the abundance of Proteobacteria was positively correlated with seizure susceptibility. In conclusion, our study revealed the significant antiepileptic and neuroprotective effects of a KD on pilocarpine-induced epilepsy in rats, primarily mediated through the modulation of the gut microbiota. However, whether the gut microbiota mediates the antiseizure effects of a KD still needs to be better elucidated. [ABSTRACT FROM AUTHOR]

To improve the construction performance and seismic resilience of precast reinforced-concrete frame structures, an innovative self-centering precast steel–concrete hybrid frame has been proposed and subjected to cyclic loading tests. In this paper, a comprehensive numerical analysis was conducted to further investigate the frame's hysteretic behavior. Initially, a numerical model was developed using the finite element software OpenSees. Numerical analyses of two frame specimens were conducted, demonstrating good agreement between the numerical and experimental hysteretic characteristics, thus validating the model's accuracy. Subsequently, based on the numerical simulations, a quantitative comparison of hysteretic performance between a novel frame and a traditional reinforced-concrete frame of the same scale was performed. While the proposed frame exhibited slightly lower initial stiffness and energy dissipation capacity than the traditional frame, it outperformed in terms of load-carrying capacity and self-centering ability. Finally, parametric analyses were carried out to assess the influence of various design parameters on the hysteretic performance, including friction force in the web frictions devices, initial post-tensioned force of the prefabricated steel–concrete hybrid beams, the steel arm length, and the column longitudinal reinforcement ratio. The results showed that increases in these four parameters improved the load-carrying capacity and initial stiffness of the proposed frame. Additionally, an increase in the friction force, steel arm length, or column longitudinal reinforcement ratio enhanced the frame's energy dissipation capacity, while an increase in the initial post-tensioned force or a decrease in the friction force enhanced the frame's self-centering capacity. [ABSTRACT FROM AUTHOR]

Purpose: Radiation cystitis (RC) is a complex and common complication after radiotherapy for pelvic cancer. Icariside II (ICAII) is a flavonoid compound extracted from Epimedium, a traditional Chinese medicine, with various pharmacological activities. The aim of the present study was to investigate the cysto-protective effects of ICAII in RC rats and its possible mechanisms. Materials and Methods: A rat model of induced radiation cystitis using pelvic X-ray irradiation was used, and bladder function was assessed by bladder volume and bladder leakage point pressure (LPP) after ICAII treatment. HE and Masson stains were used to assess the histopathological changes in the bladder. IL-6, TNF-α, IL-10, IL-4 and IL-1β were measured by ELISA to assess the level of inflammation. The gene-level changes in ICAII-treated RC were observed by transcriptome sequencing, and then the potential targets of action and biological mechanisms were explored by PPI, GO and KEGG enrichment analysis of the differentially expressed genes. Finally, the predicted targets of action were experimentally validated using immunohistochemistry, RT–qPCR, molecular docking and CETSA. Results: ICAII significantly increased bladder volume and the LPP, ameliorated pathological damage to bladder tissues, decreased the levels of IL-6, TNF-α, and IL-1β, and increased the levels of IL-10 and IL-4 in radiation-injured rats. A total of 90 differentially expressed genes were obtained by transcriptome sequencing, and PPI analysis identified H3F3C, ISG15, SPP1, and LCN2 as possible potential targets of action. GO and KEGG analyses revealed that these differentially expressed genes were mainly enriched in the pathways metabolism of xenobiotics by cytochrome P450, arachidonic acid metabolism, Staphylococcus aureus infection and chemical carcinogenesis - reactive oxygen species. Experimental validation showed that ICAII could significantly increase the expression of H3F3C and ISG15 and inhibit the expression of SPP1 and LCN2. ICAII binds well to H3F3C, ISG15, SPP1 and LCN2, with the best binding ability to H3F3C. Furthermore, ICAII inhibited the protein degradation of H3F3C in bladder epithelial cells. Conclusions: ICAII may alleviate the bladder inflammatory response and inhibit the fibrosis process of bladder tissues through the regulation of H3F3C, ISG15, SPP1, and LCN2 targets and has a protective effect on the bladder of radioinjured rats. In particular, H3F3C may be one of the most promising therapeutic targets. [ABSTRACT FROM AUTHOR]

A pair of racemic oxacalix[4]arenes featuring planar chirality and a mesomer with a symmetric plane were conveniently synthesized under mild conditions via a one‐pot dynamic SNAr reaction and separated in 20 % and 49 % yields, respectively. X‐ray single crystal analyses confirmed their structures unambiguously. The racemic mixture could further be resolved using HPLC on a chiral column. Time‐dependent products distribution and interconversion between products with CsF as a catalyst were revealed by 1H NMR studies, convincing the dynamic nature of SNAr reaction. [ABSTRACT FROM AUTHOR]

The carbon emissions of new energy vehicles (NEVs)have transited from the use stage to the production stage, indicating that the environmental impact of NEVs in the manufacturing stage cannot be ignored. To reduce carbon emissions and maintain profits, this study proposes a fuzzy multi-objective optimization model to achieve a sustainable production planning scheme for NEVs. The proposed model not only considers the maximum profits of automobile enterprises but also the minimum target of carbon emissions in the production process, to coordinate the optimal production quantity. The results show that the output of NEVs in different price ranges has different proportions. The market share of blade electric vehicles is the highest, accounting for 39% of the NEV market, and the proportion of plug-in hybrid and blade electric vehicles is increasing. The sensitivity analysis further reflects the impact of government subsidy "recession" and body lightweight on the output, carbon emissions, and annual profits of NEVs in China. Accordingly, this paper provides policy implications for achieving a sustainable production planning scheme for NEVs in China. [ABSTRACT FROM AUTHOR]

Ferromanganese nodules are important marine storehouses for critical metals and windows for changing oceans. Although advanced in situ analytical techniques have been applied to visualize the elemental distribution in the nodule cross‐sections, their spatial distribution remains largely uncertain. This study addresses this gap by employing micro X‐ray fluorescence mapping of parallel nodule cross‐sections to delineate the spatial distributions of critical metals (Mn, Fe, Co, Ti, Ni, and Cu) in three Co‐rich ferromanganese nodules from the northwestern Pacific Ocean. The 10‐layer Os isotopic compositions of one nodule closely align with the well‐documented marine Os isotope evolution of seawater, providing a chronological framework and a maximum age of ∼36 Ma for these nodules. Three concentric chemostratigraphic layers, labeled L1, L2, and L3, were identified from the inside out, based on microscopic structures and the distributions of critical metals. The early growth stage was marked by Mn‐rich, Si‐rich, and high Mn/Fe ratios, suggesting a diagenetic‐driven process attributed to high paleoproductivity conditions because of the low latitude of the study area at that time. The subsequent growth stages are all hydrogenetic in origin to be rich in Fe, Co, and Ti with low Mn/Fe ratios. The apparent detritus present during the second growth stage of the nodules may correspond to the stronger bottom currents in the early Miocene. The final mineralization stage indicates a more stable environment with diminished bottom current activity, leading to the formation of a dense, laminar hydrogenetic layer. Plain Language Summary: The present study bridges the knowledge gap on the spatial distribution of critical metals through the innovative use of micro X‐ray fluorescence mapping on parallel sections of three nodules in the northwestern Pacific Ocean. Os isotope stratigraphy establishes a chronological framework and a maximum age of ∼36 Ma for these nodules. Distinct concentric chemostratigraphic layers, labeled L1, L2, and L3, have been identified in these nodules. The early growth stage of the nodules is characterized by Mn‐rich, Si‐rich and high Mn/Fe ratios, indicative of a diagenetic‐driven process under high paleoproductivity conditions due to the low historical latitude. The subsequent stages are all hydrogenetic in origin to be rich in Fe, Co, and Ti with low Mn/Fe ratios. The apparent detritus present during the second growth stage of the nodules may correspond to the stronger bottom currents in the early Miocene. The final mineralization stage suggested a period of environmental stability with reduced current activity, forming of a hydrogenetic layer enriched in Fe, Co, and Ti. This study not only enhances our understanding of the complex processes that govern the formation and evolution of ferromanganese nodules but also provides deeper insight into the historical shifts within our oceans. Key Points: Ferromanganese nodule was dated via Os isotope stratigraphy and has a maximum age of ∼36 MaMulti‐element integrated maps were produced to assist in obtaining clearer chemostratigraphy images of ferromanganese nodulesSpatial distribution of critical metals and chemostratigraphy in ferromanganese nodules were visualized via multiple parallel cross‐sections [ABSTRACT FROM AUTHOR]

In this work, the texture evolution, mechanical properties, and formability of cold-rolled lightweight steel annealed at 500, 600, 700, and 800 °C for 30 min were investigated. The phases in the annealed specimens mainly included ferrite, austenite, and martensite. The retained austenite showed a trend of increasing and then decreasing with the increase in annealing temperature. At the annealing temperature of 700 °C, the retained austenite content reached the maximum value of 53.0%, resulting in a large amount of martensitic TRIP effect during the subsequent deformation. So the steel obtained the optimal mechanical properties with the ultimate tensile strength of 1613 MPa, ultimate elongation of 30.2%, and largest product of strength and ductility of 48.7GPa%. In addition, the annealing temperature of 700 °C was conducive to the stamping texture of {111} < 110> orientation, as well as higher strength, and the plastic strain ratio (r), the strain hardening index (n), and the flexural strength ratio (ReL/Rm) were 1.25, 0.55, and 0.41, respectively, the material obtained excellent formability. [ABSTRACT FROM AUTHOR]

Li plating is widely known as the key factor leading to degradation and safety issues in lithium‐ion batteries (LIBs). Herein, the feasibility of monitoring the onset and progression of Li plating is proposed and justified in the graphite/LiFePO4 pouch cell by an operando impedance‐thickness combinational technique. First, as a proof‐of‐concept, the real‐time thickness/impedance variations of LIBs during charging at low temperature (≈0 °C) are obtained and dissected. Three distinct stages corresponding to different Li plating patterns are observed with the critical changing points of charge‐transfer resistance, which match well with the counterpoints in the differential thickness/capacity curves. Post‐mortem analysis by Mass Titration and Scanning Microscopy also indicate that these stages are Li intercalation, Li nucleation & nuclei growth, and Li dendrite growth, respectively. Thereafter, different cycling protocols are proposed and carried out to test the as‐mentioned Li plating processes by this novel technique. The results disclose that the extensive deposition of metallic Li significantly intensifies the loss of Li inventory, leading to cell aging or even a "capacity plunge", and depict a safer boundary plot about preventing the occurrence of "Li plating" region. This work provides new insights on Li plating behavior and battery safety control under harsh operational conditions. [ABSTRACT FROM AUTHOR]

Background: The ANA-grade, encompassing early-diverging angiosperm lineages, Amborellales, Nymphaeales, and Austrobaileyales, represents a fundamental phase in the evolutionary history of flowering plants. Since the completion of key assembly of the Amborella genome, the continuous influx of omics data from the lineage underscores the need for a specialized database. Results: Here, we introduce the ANA-grade Genome Database (ANAgdb, https://anagenome.cn/), which integrates multi-omics data including 11 genomes, 167 transcriptomes, and 10 miRNAomes, as well as extensive taxonomic details specific to the ANA-grade. Designed with an array of user-friendly tools, ANAgdb not only facilitates the effective storage, querying, and analysis of data but also enables the integration and dissemination of crucial genomic and taxonomic information. Conclusion: By integrating the comprehensive resources and tools, ANAgdb aims to significantly advance research in phylogenomics and taxonomic studies, providing a robust platform for researchers to explore the genetic and morphological diversities of these ancient plant lineages. [ABSTRACT FROM AUTHOR]