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Due to the exceptional flame retardancy, environmental protection, cost‐effectiveness, and ease of processing, halogen‐free flame‐retardant polyethylene (PE) composites are attracting wide attention. However, the addition of halogen‐free flame retardants usually leads to significantly decreased mechanical properties of PE composites, which greatly limits its application. Herein, we report a halogen‐free flame‐retardant PE/ethylene‐vinyl acetate copolymer composite (PE/EVA) with excellent flame retardancy and mechanical properties by combining compatibilizer, crosslinking agent, and carbon fiber. The presence of compatibilizer not only improves the compatibility of halogen‐free flame retardants and matrix, but also interacts with the crosslinking agent to form a cladding structure on the surface of carbon fiber. The enhanced interaction between carbon fiber surface and matrix then results in significantly enhanced flame retardancy and mechanical properties of the composite. Specifically, adding 4 phr compatibilizer, 0.5 phr crosslinking agent, and 10 phr carbon fiber will lead to the halogen‐free flame‐retardant PE/EVA composite with a UL‐94 V‐1 level, limiting oxygen index of 27.1, and an increased tensile strength by 84.02% reaching 19.12 MPa. Moreover, further carbon fiber surface modification can further enhance the flame retardancy of the composite probably due to a synergistic flame‐retardant effect caused by the surface modified nitrogen and silicon elements. As a result, the composite achieves UL‐94 V‐0 level and the limiting oxygen index of 27.7 with well‐retained high tensile strength of 15.19 MPa. This work provides a practical strategy for enhancing the flame retardancy and mechanical property of PE‐based composite simultaneously. Highlights: Compatibilizer interacts with crosslinking agent to form a cladding structure on the surface of carbon fiber.Crosslinking agent promotes the formation of chemical bonds between modified carbon fiber, compatibilizer, and matrix.Carbon fiber surface modification can enhance the flame retardancy of the composite due to the synergistic flame‐retardant effect. [ABSTRACT FROM AUTHOR]

CD8+ T cells play a critical role in cancer immune‐surveillance and pathogen elimination. However, their effector function can be severely impaired by inhibitory receptors such as programmed death‐1 (PD‐1) and T cell immunoglobulin domain and mucin domain‐3 (Tim‐3). Here Siglec‐G is identified as a coinhibitory receptor that limits CD8+ T cell function. Siglec‐G is highly expressed on tumor‐infiltrating T cells and is enriched in the exhausted T cell subset. Ablation of Siglec‐G enhances the efficacy of adoptively transferred T cells and chimeric antigen receptor (CAR) T cells in suppressing solid tumors growth. Mechanistically, sialoglycan ligands, such as CD24 on tumor cells, activate the Siglec‐G‐SHP2 axis in CD8+ T cells, impairing metabolic reprogramming from oxidative phosphorylation to glycolysis, which dampens cytotoxic T lymphocyte (CTL) activation, expansion, and cytotoxicity. These findings discover a critical role for Siglec‐G in inhibiting CD8+ T cell responses, suggesting its potential therapeutic effect in adoptive T cell therapy and tumor immunotherapy. [ABSTRACT FROM AUTHOR]

Accurate detection and analysis of bubble size and shape in bubbly flow are critical to understanding mass and heat transfer processes. Convolutional neural networks have limitations in different bubble images due to their dependence on large amounts of labeled data. A new foundational Segment Anything Model (SAM) recently attracts lots of attention for its zero‐shot segmentation performance. Herein, we developed a novel image processing method named bubSAM, which achieves efficient and accurate bubble segmentation and shape reconstruction based on SAM. The segmentation performance of bubSAM is 30% higher than that of SAM, and its accuracy reaches 90% under different bubbly flow conditions. The accuracy of bubble shape reconstruction (BSR) algorithm in bubSAM is about 30% higher than that of typical ellipse fitting method, thus better restoring the geometric shape of bubbles. BubSAM can provide great support for understanding gas–liquid multiphase flow and design of industrial multiphase reactors. [ABSTRACT FROM AUTHOR]

AUXIN/INDOLE‐3‐ACETIC ACIDs are transcriptional repressors for auxin signalling. Aux/IAAs of Arabidopsis thaliana display some functional redundancy. The IAA3/SHY2 clade (IAA1, IAA2, IAA3 and IAA4) show strong sequence similarity, but no higher‐order mutants have been reported. Here, through CRISPR/Cas9 genome editing, we generated loss‐of‐function iaa1/2/3/4 mutants. The quadruple mutants only exhibited a weak phenotype. Thus, we additionally knocked out IAA7/AXR2 and IAA16, which are coexpressed with IAA1/2/3/4. Remarkably, under white light control conditions, the iaa1/2/3/4/7/16 mutants exhibited a shade avoidance‐like phenotype with over‐elongated hypocotyls and petioles and hyponastic leaves. The sextuple mutants were highly sensitive to low light intensity, and the hypocotyl cells of the mutants were excessively elongated. Transcriptome profiling and qRT‐PCR analyses revealed that the sextuple mutation upregulated IAA19/MSG2 and IAA29, two shared shade/auxin signalling targets. Besides, genes encoding cell wall‐remodelling proteins and shade‐responsive transcription regulators were upregulated. Using dual‐luciferase reporter assays, we verified that IAA2/IAA7 targeted the promoters of cell wall‐remodelling genes to inhibit their transcription. Our work indicates that the IAA1/2/3/4/7/16 gene set is required for the optimal integration of auxin and shade signalling. The mutants generated here should be valuable for exploring the complex interactions among signal sensors, transcription activators and transcription repressors during hormone/environmental responses. Summary Statement: A highly conserved and coexpressed gene set of Arabidopsis thaliana Aux/IAAs was inactivated by genomic editing. The shade‐avoidance‐like phenotypes of these iaa1/2/3/4/7/16 sextuple mutants revealed their essential roles for the optimal integration between light and auxin signalling pathways. [ABSTRACT FROM AUTHOR]

The electrochemical reduction of nitrate to ammonia (NO3RR) is an effective route to ammonia synthesis with the characteristics of low energy input. However, the complex multi‐electron/proton transfer pathways associated with this reaction may trigger the accumulation of competitive by‐products. Herein, boron (B)‐doped Cu electrode (denoted as B–Cu2O/Cu/CP) as "all‐in‐one" catalyst is prepared by one‐step electrodeposition strategy. Caused by the B doping, the charge redistribution and local coordination environment of Cu2O/Cu species are modulated, resulting in the exposure of active sites on the Cu2O/Cu/CP catalyst. In‐situ Fourier transform infrared spectroscopy and theoretical investigations demonstrate that both Cu2O and Cu sites modulated by B can effectively enhance the adsorption of NO3− and facilitate the conversion of intermediate by‐products, thus promoting the direct reduction of NO3− to NH3. Consequently, a remarkable Faradaic efficiency of 92.74% can be obtained on B–Cu2O/Cu/CP catalyst with minimal accumulation of by‐products. It is expected that this work, based on the heterogeneous B doping, will open a maneuverable and versatile way for the design of effective catalysts. [ABSTRACT FROM AUTHOR]

Immunosuppression is ubiquitous in solid tumors, characterized by few cytotoxic T infiltrations, abundant inflammation enrichment, immunosuppressive cell recruitment, etc., which is especially potentiated by incomplete tumor resection. In this report, multi‐hierarchical Fe single‐atom nanozymes (SAzymes) featuring axially‐coordinated O‐Fe‐N4 active centers are constructed to reshape tumor‐associated macrophages (TAMs) epigenetics via repolarizing their phenotypes, which is highly profitable for mitigating tumor immunosuppression after incomplete radiofrequency ablation (iRFA). Therein, a nitrogen‐doped bamboo‐like carbon nanotube (N‐BCNT) is engineered to coordinatively immobilize Fe atoms, wherein another axial coordination (O) is introduced to further switch non‐polar Fe‐N4 to polar O‐Fe‐N4. The polarization switching of active centers synergies with N doping‐encouraged electron transport, low‐temperature synthesis‐discouraged N loss and large surface area‐unlocked O‐Fe‐N4 enrichment to confer tetra‐enzymic catalysis activities including peroxidase, oxidase, catalase, and glutathione oxidase, maximumly favoring reactive oxygen species (ROS) production and hypoxia reversal. After delivering TAMs polarization‐encouraged drug, toosendanin, TAMs epigenetics are altered and their phenotypes are repolarized to relieve immunosuppression and magnify immune responses, which suppress residual tumor progression after iRFA. Such a comprehensive structure optimization strategy provides a versatile route to design and construct SAzymes‐like drugs with multi‐enzymatical catalysis activities. [ABSTRACT FROM AUTHOR]

Recently emerging perovskite nanocrystals (PNCs) have drawn considerable attention due to the superior optoelectronic performances. However, the terrible stability of red emissive PNCs (r‐PNCs) limits their broader application in aqueous media. Despite various encapsulation methods are proposed, the preparation of aqueous r‐PNCs with facile operation and excellent durability is still challenging. Herein, aqueous green emissive PNCs (g‐PNCs) by employing water as an external stimulus to treat oleyamine‐capped CsPbBr3 PNCs are synthesized initially, and then aqueous‐stable pure red emissive PNCs by anion‐exchange reaction and subsequently thiocyanate (SCN‐) passivation treatment (SCN‐r‐PNCs) are prepared. The obtained aqueous‐stable SCN‐r‐PNCs display high brightness, outstanding stability, and extended photoluminescence lifetime. Moreover, by combining aqueous r‐PNCs and portable smartphones, a fluorescence chemosensor for the detection of aqueous SCN− ions is constructed, which exhibits simple operation, high sensitivity, high selectivity, low detection limit, and visualized sensing. This work not only provides a new and facile strategy to prepare aqueous‐stable red emissive PNCs, but also further extends the application of red emissive PNCs in aqueous‐based fields. [ABSTRACT FROM AUTHOR]

Diverging from air breakdown‐based triboelectric nanogenerators (TENGs), recent TENG designs present high output power density without requiring precise control over discharge channels. However, existing researches predominantly ascribe its direct current output to electrostatic induction, disregarding the critical factor of charge leakage. This oversight hampers efforts to improve device performance, especially in material selection and optimization. Here, the generation of direct current signals ultimately stems from material charge leakage and spatial electrostatic induction is illustrated. Through theoretical analysis, visualization, and experimental measurement of four phenomena in the device, a quadruple‐effect mechanoelectrical conversion mechanism is established to refine the material selection rule. Under this guideline, the output power density is increased by 34.42% in contrast to the electrostatic induction direct current TENG. For practical applications, a power management circuit is utilized to boost the device's charging rate by up to 18 times. Furthermore, the high voltage of the device can activate discharge‐type UV tubes, demonstrating great potential in developing self‐powered wastewater treatment systems. The multiple charge behaviors proposed in this work, along with the material selection rule, lay a solid foundation for achieving high output power density in direct current TENGs. [ABSTRACT FROM AUTHOR]

In order to enhance the mechanical performance of carbon fiber/epoxy resin composites (CF/EPs), a series of γ‐Al2O3 nanosheet/graphene (AG) composites were prepared by hydrothermal method, and successfully introduced into the carbon fiber (CF) surface via self‐assembly process, which significantly improved the interfacial bonding force between CF and EP. Mechanical test results showed that the AG modified CF/EPs exhibited superior properties in interfacial shear strength (IFSS), interlaminar shear strength (ILSS), tensile strengths, and flexural strengths compared with the untreated CF/EPs, which were enhanced by 142.9%, 59.6%, 152.5%, and 40.5%, respectively. This is mainly because AG largely increases the CF surface roughness and penetrates into the matrix to enhance the mechanical interlocking effect, crack deflection effect, and Van der Waals forces between CF and polymer matrix. Briefly, the AG synthesized in this study will provide an experimental validation for the development of high‐performance carbon fiber reinforced polymer composites (CFRPs) and exhibit potential application prospects in automotive and other fields. Highlights: Graphene effectively inhibits the agglomeration of γ‐Al2O3 nanosheet.γ‐Al2O3 nanosheet/graphene increases the interfacial properties of CF/EPs.γ‐Al2O3 nanosheet/graphene largely enhances the mechanical performance of CF/EPs.The as‐prepared AGCF/EPs have potential application in automotive and other fields. [ABSTRACT FROM AUTHOR]

Organic ultralong room temperature phosphorescence (OURTP) materials capable of combining various emission behaviors for diversified optoelectronic properties and applications have recently gained a vigorous development, but it remains a forbidden challenge in designing OURTP molecules with hybrid local and charge‐transfer (HLCT) feature, possibly due to the elevated difficulties in simultaneously meeting the stringent requirements of both HLCT and OURTP emitters. Here, through introducing multiple heteroatoms into one‐dimensional fused ring of coumarin with moderate charge transfer perturbation in donor‐π‐acceptor architecture, we demonstrate a HLCT‐featured OURTP molecule showing both promoted fluorescence with a quantum yield of 77 % in solution and long‐lived OURTP with a lifetime of 251 ms in conventional host material used in electroluminescent device. Thus, efficient OURTP organic light‐emitting diodes (OLEDs) were fabricated, exhibiting bright electroluminescence with an exciton utilization efficiency of 85 % and yellow OURTP lasting over 2 s for afterglow. Impressively, the HLCT OURTP‐OLEDs can be further optimized to reach an unprecedented total external quantum efficiency (EQE) of ~12 % and OURTP EQE up to 3.11 %, representing the highest performance among the reported OURTP‐OLEDs. These impressive results highlight the significance to fuse HLCT and OURTP together in enriching OURTP materials and improving the afterglow OLED performances. [ABSTRACT FROM AUTHOR]

2D semiconductor nanomaterials have received significant attention as photocatalysts for solar‐to‐hydrogen conversion due to their robust light absorption capacity, large specific surface area, and superior electron transport characteristics. Nevertheless, it is challenging to develop 2D quaternary copper‐based sulfides (QCSs) with functional integration of conducive structural features for photocatalysis from multiple elements and intricate control conditions. Herein, ultrathin 2D alloyed Cu−Ga−Zn−S (CGZS) curved nanobelts (NBs) are fabricated by using a facile one‐pot colloidal method. Subsequently, the derived Cu31S16‐CGZS Janus heterostructures are designed by increasing Cu concentrations. The formation mechanism of 2D curved alloys and Janus heterostructures is systematically investigated. Without cocatalysts, curved alloyed CGZS NBs demonstrated superior photocatalytic activities of 1264.2 µmol g−1 h−1 compared to Janus heterostructured Cu31S16−CGZS (463.1 µmol g−1 h−1) under visible light (> 400 nm). Experimental and theoretical results unveiled that the improved photocatalytic activities of curved CGZS NBs can be attributed to enhanced charge–carrier separation efficiency resulting from high crystallinity and ultrathin 2D structure, abundant active sites from curved structure, high‐active (0001) crystal facet with the lowest reaction Gibbs energy, work function, and metal‐like properties. This work offers new insights into functional integration into ultrathin 2D QCSs with enhanced visible‐light photocatalytic performance. [ABSTRACT FROM AUTHOR]

Objective: To investigate the role of glucagon‐like peptide 1 (GLP‐1) in myocardial perfusion, focusing on its effects on coronary microcirculation and cardiovascular outcomes. Methods: Review of foundational research and large‐scale clinical trials, including Cardiovascular Outcome Trials (CVOTs), examining the cardiovascular effects of GLP‐1. Systematic analysis of trial data to assess the impact of GLP‐1 therapy on myocardial infarction, composite cardiovascular events, and stroke incidence. Results: GLP‐1 therapy was found to significantly reduce myocardial infarction and composite cardiovascular events. Additionally, GLP‐1 receptor agonists were observed to reduce stroke incidence, suggesting systemic effects on panvascular diseases. While direct protective effects on coronary microvasculature have been less studied, growing evidence supports GLP‐1's role in comprehensive myocardial perfusion. Conclusion: GLP‐1 is a promising therapeutic agent for improving myocardial perfusion and reducing cardiovascular events. Its protection is likely associated with comprehensive improvements in myocardial perfusion, including effects on coronary microcirculation. Further research is needed to fully elucidate its mechanisms of action and potential clinical applications. [ABSTRACT FROM AUTHOR]

Surfactant‐assisted synthesis of photocatalysts for water treatment has received extensive attention from researchers. In this paper, a novel and efficient BiOBr/graphene oxide (BiOBr/GO) photocatalyst assisted by sodium dodecyl sulfate (SDS) was synthesized by a simple solvothermal method. Compared with use of other surfactants, like polyvinylpyrrolidone (PVP) and cetyltrimethylammonium bromide (CTAB), BiOBr/GO (SDS) shows outstanding photocatalytic degradation activity under optimal conditions: The degradation rate constants of BiOBr/GO (SDS) for oxytetracycline (OTC), tetracycline hydrochloride (TCH), brilliant blue (BB), and Rhodamine B (RhB) are 0.073, 0.057, 0.166, and 0.626 min−1, which are 2.8, 1.8, 9, and 1.5 times larger than pure BiOBr, respectively. In addition, after five cycles, BiOBr/GO (SDS) exhibits superior cycling stability. The enhanced photocatalytic performance can benefit from the introduction of SDS and GO. With the assistance of SDS in the preparation process, BiOBr/GO (SDS) nanosheets have good adsorption performance and dispersion effect, which is favorable for raising their specific surface area. Meanwhile, the electron capture effect of GO improves the transfer and separation efficiency of photogenerated carriers. Moreover, the possible degradation pathway for TCH is identified through liquid chromatography–mass spectrometry (LC–MS). This research can become a valuable reference for synthesizing photocatalysts with visible light response to degrading organic pollutants such as antibiotics and dyes. [ABSTRACT FROM AUTHOR]

Background: The landscape of prostate cancer (PCa) segmentation within multiparametric magnetic resonance imaging (MP‐MRI) was fragmented, with a noticeable lack of consensus on incorporating background details, culminating in inconsistent segmentation outputs. Given the complex and heterogeneous nature of PCa, conventional imaging segmentation algorithms frequently fell short, prompting the need for specialized research and refinement. Purpose: This study sought to dissect and compare various segmentation methods, emphasizing the role of background information and gland masks in achieving superior PCa segmentation. The goal was to systematically refine segmentation networks to ascertain the most efficacious approach. Methods: A cohort of 232 patients (ages 61–73 years old, prostate‐specific antigen: 3.4–45.6 ng/mL), who had undergone MP‐MRI followed by prostate biopsies, was analyzed. An advanced segmentation model, namely Attention‐Unet, which combines U‐Net with attention gates, was employed for training and validation. The model was further enhanced through a multiscale module and a composite loss function, culminating in the development of Matt‐Unet. Performance metrics included Dice Similarity Coefficient (DSC) and accuracy (ACC). Results: The Matt‐Unet model, which integrated background information and gland masks, outperformed the baseline U‐Net model using raw images, yielding significant gains (DSC: 0.7215 vs. 0.6592; ACC: 0.8899 vs. 0.8601, p < 0.001). Conclusion: A targeted and practical PCa segmentation method was designed, which could significantly improve PCa segmentation on MP‐MRI by combining background information and gland masks. The Matt‐Unet model showcased promising capabilities for effectively delineating PCa, enhancing the precision of MP‐MRI analysis. [ABSTRACT FROM AUTHOR]

MXene and MBene, with diverse and adjustable surface and bulk structures, show many unique chemical properties and are applied in various energy storage technologies, and the latest developments for them are reviewed respectively. However, the current reports on the synthesis of the two materials and the application of related devices are still separate and limited to the macro details. In this review, the microscopic chemistry of synthesis strategies for MXene and MBene and the differences in synthesis strategies caused by the structure differences between them are elucidated. Later, the impact of synthesis strategies on their overall morphologies and subsequent material property differences are discussed, and key considerations in the field of energy storage are described. Next, it is elaborated on how the surface and bulk phases of MXene and MBene utilize these properties to participate in electrochemical reactions individually or synergistically. Unlike previous reviews, MXene and MBene are incorporated into a unified framework from a microscopic perspective for discussion, and the relationship of synthesis‐structure/properties‐function is elucidated. Finally, the “skipping strategy” and “joint devices” as the next‐generation design concepts of MXene in the synthesis and application fields, and the development template for MBene materials are proposed. [ABSTRACT FROM AUTHOR]

Direct aromatization of cyclohexanones to synthesize substituted phenols represents a significant challenge in modern synthetic chemistry. Herein, we describe a novel ene‐reductase (TsER) catalytic system that converts substituted cyclohexanones into the corresponding phenols. This process involves the successive dehydrogenation of two saturated carbon‐carbon bonds within the six‐membered ring of cyclohexanones and utilizes molecular oxygen to drive the reaction cycle. It demonstrates a versatile and efficient approach for the synthesis of substituted phenols, providing a valuable complement to existing chemical methodologies. [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]

Objective: To compare the detection rates of hepatic artery digital subtraction angiography (HA‐DSA) and magnetic resonance imaging (MRI) gadolinium diethylenetriaminepentaacetic acid (MRI‐Gd‐DTPA) and MRI gadolinium diethylenetriaminepentaacetic acid (MRI‐Gd‐EOB‐DTPA) for small (diameter ≤2 cm) hepatocellular carcinoma (HCC) lesions. Methods: A prospective analysis of patients admitted to the Tumor Hospital of Guangxi Medical University between January 1, 2015, and December 30, 2016, was conducted. The detection rates of the three methods were analyzed. The diameter of small HCC lesions detected using HA‐DSA and MRI‐Gd‐EOB‐DTPA were evaluated. The diagnostic value of HCC Barcelona staging for HA‐DSA was analyzed. Results: For 107 small lesions detected in 57 patients, the detection rates of HA‐DSA and MRI‐Gd‐DTPA were 86.0% (92/107) and 71.0% (76/107), respectively (p <.05). Of 77 small lesions detected in 42 patients using MRI‐Gd‐EOB‐DTPA and HA‐DSA, 67 were detected using HA‐DSA, all of which had a rich blood supply, and 72 were detected using MRI‐Gd‐EOB‐DTPA. The minimum diameter of lesions detected using MRI‐Gd‐EOB‐DTPA was approximately 0.4 cm, whereas that of lesions detected using HA‐DSA was approximately 0.5 cm. After HA‐DSA, a change in the Barcelona staging occurred in 33.3% (62/186) of cases but not after MRI‐Gd‐DTPA; HA‐DSA was significantly better than MRI‐Gd‐DTPA for staging (p =.03). Conclusion: HA‐DSA and MRI‐Gd‐EOB‐DTPA have high diagnostic values for the detection of small HCC lesions, which is helpful for accurate staging of HCC and provides the most valuable information for patient treatment and prognosis. [ABSTRACT FROM AUTHOR]

Background: Takayasu arteritis (TAK) and giant cell arteritis (GCA) are two major large vessel vasculitis, with varied epidemiology by geographical location, age, and race. However, the epidemiological data in Chinese population is rarely reported. This study estimated the epidemiology of TAK and GCA in Shanghainese individuals residing in China over a 10‐year period. Methods: TAK data for individuals over 16 years and GCA data for individuals over 50 years were retrieved from 38 comprehensive hospitals in Shanghai, China through the electronic medical record systems between January 1, 2011, and December 31, 2020. A systematic literature review was performed to determine the global distribution of TAK and GCA by searching PubMed, Ovid‐Medline, Excerpta Medica Database (EMBASE), and Web of Science. Results: In 173 identified TAK cases (67% females; mean age, 46 ± 15 years), the period prevalence was 11.72 cases per million, and the mean annual incidence was 1.33 cases per million. The highest prevalence (17.74 cases per million) and incidence (1.71 cases per million) were observed in the 16‐ to 34‐year‐old age group. In 92 identified GCA cases (56% females; age, >50 years), the period prevalence was 2.73 cases per 100 000 persons, and the mean annual incidence was 1.91 cases per 100 000 persons. Meta‐analysis of the incidence study of TAK and GCA showed that the pooled incidence rate of TAK and GCA was 1.29 per million and 15.48 per 100 000 person‐years, respectively. Subgroup analysis showed that the incidence of TAK was significantly higher in Asia than in other regions, while the incidence of GCA was higher in Europe, especially North Europe. Conclusion: The epidemiological patterns of TAK and GCA were comprehensively mapped globally and locally, in Shanghai, China. [ABSTRACT FROM AUTHOR]

The intricate and changing stress conditions within complex fault networks pose challenges in understanding earthquake recurrence and seismic hazards. The Kongur Shan Extensional System (KSES) in the northeastern Pamir, characterized by complex fault geometries and potentially variable surface loads in its surroundings, offers an ideal research area. Here we investigate three paleoseismic sites in the northern KSES, including lacustrine seismites in the Muji Basin, secondary fault scarps of the northern Kongur Shan Fault (KSF), and an exposure of the eastern Muji Fault. The seismites, as a regional record, indicate two Mw 6–7.3 paleoearthquakes occurring 720–680 and 1030–940 cal yr BP, with an interval of 230–330 years. The other two on‐fault sites reveal paleoearthquakes with compatible magnitudes but much longer average time intervals (ATI). Secondary fault scarps of the northern KSF indicate four Mw 6.9–7.2 paleoearthquakes since 4.8 ± 0.8 ka, with an ATI of 1,000–1,870 years. The fault exposure of the eastern Muji Fault indicates two Mw 6.8–7.3 paleoearthquakes since 2.7 ± 0.3 ka, with an ATI of 1,200–3,000 years. Using its previously constrained long‐term slip rate of ∼6.3 mm/yr and a simple Monte Carlo simulation of earthquake cycles, the observed ATI of the eastern Muji Fault suggests a "clustered" earthquake recurrence behavior. Such potential irregular earthquake recurrence is likely due to the low maturity and fault interaction in the northern KSES, and climate‐related changes in surface loads of paleolakes and glaciers. Plain Language Summary: Understanding how earthquakes occur and generate hazards in complex fault systems is challenging. The Kongur Shan Extensional System (KSES) in the northeastern Pamir, with complex fault geometry and variable surface loads around it, is an ideal place to study this problem. Here, we explore three sites in the northern KSES to study past earthquakes: deformed lake sediments in the Muji Basin, the northern Kongur Shan Fault (KSF), and the eastern Muji Fault. The deformed lake sediments show evidence of two large earthquakes around 700 and 1,000 years ago, 230–330 years apart. The other sites also had large earthquakes but with much longer gaps between them. The northern KSF had four earthquakes in the last ∼4,800 years, averaging 1,000–1,870 years apart. The eastern Muji Fault had two earthquakes in the last ∼2,700 years, averaging 1,200–3,000 years apart. The eastern Muji Fault's long gaps between earthquakes suggest they happen irregularly, which might be because the fault is immature and interacts with other faults, plus changes in the weight of the water and glaciers around the fault. Key Points: Three field sites in the northern Kongur Shan Extensional System (KSES) reveal earthquake intervals of 230–330, 1,000–1,870, and 1,200–3,000 years, respectivelyThe eastern Muji Fault in the KSES appears to have "clustered" earthquake recurrenceThe irregular recurrence behavior may be influenced by fault maturity, interaction, and changes in paleolake and/or glacier loads [ABSTRACT FROM AUTHOR]

Various digital therapeutic products have been validated and approved since 2017. They have demonstrated efficacy and safety as a new therapeutic modality in various disorders or conditions. Hypertension is a common but serious condition that can be prevented or controlled with lifestyle changes and medicines. Although a digital therapeutic in hypertension is validated and approved in Japan, whether digital therapeutics (DTx) can significantly improve sustainable lifestyle changes is still a controversial topic. Most studies did not discuss the long‐term gain challenges. In this review, the authors discuss the definition of DTx, and analyze the motivation, engagement and adherence challenges of DTx in hypertension. Some ongoing artificial intelligence (AI)‐enabled or cognitive behavioral therapy (CBT)‐based digital interventions and behavioral strategies for implementing sustainable lifestyle changes are identified and analyzed. With AI‐enabled interventions and behavioral strategies, DTx might be one of the effective approaches to make sustainable lifestyle changes. [ABSTRACT FROM AUTHOR]

A novel epoxy plasticizer (HCEP) with a hyperbranched polyglycerol structure was synthesized using reduced glycerol and cashew phenol as raw materials. Then it was grafted onto poly(vinyl chloride) (PVC) through click reaction to form self‐plasticized PVC. The structure of the product was characterized with various methods. The effects of the degree of internal plasticizer substitution on the properties of PVC were tested through dynamic mechanical, mechanical property, and thermogravimetric analyses. The amorphous dendritic structure of HCEP effectively enhances the free volume of grafted PVC, leading to a reduction in the glass transition temperature and a significant enhancement in flexibility at room temperature. The maximum elongation at break is 289.89%. The grafting of plasticizers onto PVC avoids the leaching of plasticizers during usage, providing a viable solution for reducing reliance on phthalate‐based plasticizers. [ABSTRACT FROM AUTHOR]

The integration of hydrophilic‐hydrophobic switching and color‐changing functionalities into textile materials creates a synergistic effect, meeting the demands of complex application environments. This paper presents an innovative and cost‐effective approach to generating a proton‐driven smart textile with dual‐functionality, capable of switchable wettability and color modulation, by combining pH‐responsive branched polymer microcapsules (PRBMs) with conventional textile materials. The prepared PRBMs are spherical with a rough surface, exhibiting dynamic swelling (diameter of 110 nm) in acidic aqueous solutions and reversible contraction (diameter of 70 nm) in neutral or alkaline aqueous solutions. Depositing PRBMs onto polyester fabric imparts pH‐responsive wettability to the fabric surface. As a result, the fabric displays hydrophobic in neutral or alkaline aqueous solutions (pH 7), exhibiting a contact angle greater than 140°, and becomes superhydrophilic when exposed to acidic aqueous solutions (pH 3), with a contact angle of 25° within 120 s. Notably, the fabric also undergoes significant reversible color changes under different pH levels while maintaining good water vapor permeability and breathability, suitable for the pH range of human skin. This one‐step strategy achieves a flexible, visible hydrophobic‐hydrophilic switch, marking a significant advancement in the field of smart textiles and promoting their further development. [ABSTRACT FROM AUTHOR]

Mastering the self‐organization of nanoparticle morphologies is pivotal in soft matter physics and film growth. Silicon dioxide (SiO2) nanoparticles are an archetypical model of nanomotor in soft matter. Here, the emphasis is on the self‐organizing behavior of SiO2 nanoparticles under extreme conditions. It is unveiled that manipulating the states of the metal substrate profoundly dictates the motion characteristics of SiO2 nanoparticles. This manipulation triggers the emergence of intricate morphologies and distinctive patterns. Employing a reaction‐diffusion model, the fundamental roles played by Brownian motion and Marangoni‐driven motion in shaping fractal structures and radial Turing patterns are demonstrated, respectively. Notably, these radial Turing patterns showcase hyperuniform order, challenging conventional notions of film morphology. These discoveries pave the way for crafting non‐equilibrium morphological materials, poised with the potential for self‐healing, adaptability, and innovative applications. [ABSTRACT FROM AUTHOR]

The problem of antimicrobial resistance (AMR) caused by the abuse of antibiotics is becoming serious. The development of antibacterial materials with synergistic efficiency and treatment of deep tissue/organ infections is imminent. Herein, synergistic antibacterial nanoparticles (MPH NPs) are prepared by loading antibacterial peptide polymyxin B (PMB) on Fe‐based MOF (MIL‐100) with hyaluronic acid (HA) modification. MPH NPs exerts antibacterial effects by chemodynamic therapy (CDT) and the release of PMB. MPH NPs have broad‐spectrum antibacterial properties on Gram‐negative bacteria (E. coli, 100%), Gram‐positive bacteria (S. aureus, 98.5 %), and MRSA (98.4%). Importantly, MPH NPs not only promote the healing of infected wounds but also target lungs to accomplish organ infection therapy. Therefore, this study provides a new strategy for designing a synergetic anti‐AMR bacteria system and the function for deep tissue/organ infection therapy in the future. [ABSTRACT FROM AUTHOR]

O6‐methylguanine DNA methyltransferase (MGMT) removes alkyl adducts from the guanine O6 position (O6‐MG) and repairs DNA damage. High MGMT expression results in poor response to temozolomide (TMZ). However, the biological importance of MGMT and the mechanism underlying its high expression in pancreatic neuroendocrine tumors (PanNETs) remain elusive. Here, it is found that MGMT expression is highly elevated in PanNET tissues compared with paired normal tissues and negatively associated with progression‐free survival (PFS) time in patients with PanNETs. Knocking out MGMT inhibits cancer cell growth in vitro and in vivo. Ectopic MEN1 expression suppresses MGMT transcription in a manner that depends on β‐Catenin nuclear export and degradation. The Leucine 267 residue of MEN1 is crucial for regulating β‐Catenin‐MGMT axis activation and chemosensitivity to TMZ. Interference with β‐Catenin re‐sensitizes tumor cells to TMZ and significantly reduces the cytotoxic effects of high‐dose TMZ treatment, and MGMT overexpression counteracts the effects of β‐Catenin deficiency. This study reveals the biological importance of MGMT and a new mechanism by which MEN1 deficiency regulates its expression, thus providing a potential combinational strategy for treating patients with TMZ‐resistant PanNETs. [ABSTRACT FROM AUTHOR]

Biological particles, as a fraction of organic particles, potentially play a crucial role in ice nucleation processes. However, the contributions and relationships of biological components and organic matter (OM) to atmospheric ice nucleation remain largely unexplored. Here, total ice nucleating particles (INPs), heat‐resistant INPs, lysozyme‐resistant INPs, nanoscale INPs (<0.22 μm), and heat‐resistant nanoscale INPs in precipitation collected at the summit of Mt. Lu, China, were determined using droplet freezing assays coupled with corresponding pretreatments. Heat‐sensitive INPs and lysozyme‐sensitive INPs were considered as biological INPs and bacterial INPs, respectively. Microorganisms and OM molecules in precipitation were identified by high‐throughput sequencing technology and ultrahigh‐resolution mass spectrometry, respectively. Results revealed a predominant biological (heat‐sensitive) composition (78.8% and 93.2%) of total and nanoscale INPs at temperatures above −15°C. Specifically, bacterial (lysozyme‐sensitive) INPs accounted for 36.1% of the biological INPs at temperatures above −15°C. A notable correlation between sulfur‐containing organic compounds, mainly proteinaceous and lignin‐like substances, and INPs was uncovered, with a co‐occurrence network linking these compounds to Gram‐positive bacteria and Agaricomycetes. This study underscored the possible significance of sulfur‐containing organic compounds in the ice nucleation capacity of biological INPs, further shedding light on the ice nucleation mechanisms and potential sources of biological INPs. Plain Language Summary: Ice nucleating particles (INPs) are particles that facilitate the freezing of water at temperatures above the homogenous freezing point, impacting cloud formation and precipitation processes in the atmosphere. This study identified different types of INPs, microbes, and organic matter in precipitation sampled from Mt. Lu in southeastern China and investigated the connections among them. The findings suggested that a significant portion of INPs were of biological origin. Sulfur‐containing organic compounds likely played an important role in ice nucleation, which may originate from certain microbial taxa. This study helps us understand the role of microbes and organic molecules in ice formation, which has broader implications in areas such as preserving biological materials at low temperatures or facilitating artificial snow production. Key Points: Biological materials predominated among the ice nucleating particles (INPs) identified in precipitationSulfur‐containing organic compounds, associated with specific microbial taxa, likely acted as efficient INPs in precipitationThis study provides a preliminary understanding of the connections among INPs, organic matter, and microorganisms [ABSTRACT FROM AUTHOR]

Chromosome congression and alignment are essential for cell cycle progression and genomic stability. Kinesin‐7 CENP‐E, a plus‐end‐directed kinesin motor, is required for chromosome biorientation, congression and alignment in cell division. However, it remains unclear how chromosomes are aligned and segregated in the absence of CENP‐E in mitosis. In this study, we utilize the CRISPR‐Cas9 gene editing method and high‐throughput screening to establish CENP‐E knockout cell lines and reveal that CENP‐E deletion results in defects in chromosome congression, alignment and segregation, which further promotes aneuploidy and genomic instability in mitosis. Both CENP‐E inhibition and deletion lead to the dispersion of spindle poles, the formation of the multipolar spindle and spindle disorganization, which indicates that CENP‐E is necessary for the organization and maintenance of spindle poles. In addition, CENP‐E heterozygous deletion in spleen tissues also leads to the accumulation of dividing lymphocytes and cell cycle arrest in vivo. Furthermore, CENP‐E deletion also disrupts the localization of key kinetochore proteins and triggers the activation of the spindle assembly checkpoint. In summary, our findings demonstrate that CENP‐E promotes kinetochore‐microtubule attachment and spindle pole organization to regulate chromosome alignment and spindle assembly checkpoint during cell division. [ABSTRACT FROM AUTHOR]

Objective and Background: Sinusoidal obstruction syndrome (SOS) is a life‐threatening complication in hematopoietic stem cell transplantation (HSCT) patients. However, the related risk factors in pediatric and young adult HSCT recipients remain unclear. Thus, we conducted this meta‐analysis to identify potential risk factors for SOS in children and young adults undergoing HSCT. Method: We acquired related articles through searching PubMed, EMBASE, and the Cochrane Library up to May 31, 2024. We calculated odds ratios (ORs) and corresponding 95% confidence intervals (CIs) to identify potential risk factors. Results: A total of 12 studies with 7644 HSCT recipients were included. Bone marrow transplantation (OR = 1.35, 95% CI: 1.03–1.77, I2 = 0%), busulfan (BU) (OR = 3.63, 95% CI: 1.78–7.38, I2 = 70%), and fludarabine (FLU) (OR = 1.55, 95% CI: 1.09–2.21, I2 = 16%) were risk factors for SOS after HSCT in children and young adults. Conclusion: Bone marrow transplantation and the use of BU or FLU might be risk factors for SOS after HSCT in children and young adults. [ABSTRACT FROM AUTHOR]

Following the continuous reform and innovation of classroom teaching methods and pedagogy in higher education, the support provided by traditional classrooms for new classes seems to be insufficient. Empirical exploration into the impact of learning spaces on student learning motivation, particularly in terms of how and to what extent, has been limited. This study focuses on student intrinsic learning motivation as the dependent variable and constructs an influence model incorporating factors such as learning space, pedagogy and classroom relationships. A comparative analysis is conducted to assess the differential influence between two learning space types: active learning spaces and traditional classrooms. Utilizing a convenience sampling method, students engaged in coursework at University A's 'Future Learning Experience Center' and traditional multimedia learning spaces over three academic terms were selected. Differential tests were performed on data collected from various learning environment types, and the impact of learning space, teaching methods and social relationships on students' intrinsic learning motivation was validated using structural equation modelling. Results indicate that scores in the dimensions of learning space, teacher–student relationships, student–student relationships and student intrinsic learning motivation were significantly higher in the active learning space compared to traditional classrooms. Surprisingly, learning space exhibited no significant direct effect on student intrinsic learning motivation but demonstrated a significant indirect effect. The influencing factors model presented in this study sheds light on the type of learning space's impact on student intrinsic learning motivation, offering theoretical guidance and practical data for future research endeavours. [ABSTRACT FROM AUTHOR]

The development of reading networks across different languages and cultures provides an important window to address gene‐culture interactions in brain functionality development. Previous meta‐analyses have explored the neural correlates of reading in different languages with diverse orthographic transparencies. However, it remains unknown whether the neural topographic relationship of different languages varies when taking development into account. To address this issue, we conducted meta‐analyses of neuroimaging studies with approaches of activation likelihood estimation and seed‐based effect size mapping and focused on two highly contrasting languages, Chinese and English. The meta‐analyses covered 61 studies of Chinese reading and 64 studies of English reading by native speakers. The brain reading networks of child and adult readers were further separately analyzed and compared to explore the developmental effects. The results revealed that the commonalities and differences in reading networks for Chinese and English were inconsistent between children and adults. In addition, the reading networks converged with development, and the effects of writing systems on brain function organizations were more salient in the initial stages of reading. An interesting finding was that the left inferior parietal lobule demonstrated increased effect sizes in adults compared with children in both Chinese and English reading, indicating a common developmental feature of reading mechanisms across the two languages. These findings provide new insights into the functional evolution and cultural modulation of brain reading networks. Research Highlights: Meta‐analyses with approaches of activation likelihood estimation and seed‐based effect size mapping were performed to evaluate the developmental characteristics of brain reading networks.The engagement of universal and language‐specific reading networks was different between children and adults, and the reading networks converged with increased reading experience.Overall the middle/inferior occipital and inferior/middle frontal gyrus were specific to Chinese and the middle temporal, right inferior frontal gyrus were specific to English.The left inferior parietal lobule was engaged more in adults than children in Chinese and English reading, demonstrating a common developmental feature of reading mechanisms. [ABSTRACT FROM AUTHOR]

BACKGROUND: Mung beans are highly nutritious but their leguminous flavor limits their development. Lactic acid bacteria (LAB) fermentation can decrease unwanted bean flavors in legumes and enhance their flavor. This study examined the influence of Lactobacillus fermentation on the flavor characteristics of mung bean flour (MBF) using volatile compounds and non‐targeted metabolomics. RESULTS: Lactobacillus plantarum LP90, Lactobacillus casei LC89, and Lactobacillus acidophilus LA85 eliminated 61.37%, 48.29%, and 43.73%, respectively, of the primary bean odor aldehydes from MBF. The relative odor activity value (ROAV) results showed that fermented mung bean flour (FMBF) included volatile chemicals that contributed to fruity, flowery, and milky aromas. These compounds included ethyl acetate, hexyl formate, 3‐hydroxy‐2‐butanone, and 2,3‐butanedione. The levels of amino acids with a fresh sweet flavor increased significantly by 93.89, 49.40, and 35.27% in LP90, LC89, and LA85, respectively. A total of 49 up‐regulated and 13 down‐regulated significantly differential metabolites were annotated, and ten metabolic pathways were screened for contributing to the flavor. The correlation between important volatile compounds and non‐volatile substances relies on two primary metabolic pathways: the citric acid cycle pathway and the amino acid metabolic system. CONCLUSION: The flavor of MBF was enhanced strongly by the process of Lactobacillus fermentation, with LP90 having the most notable impact. These results serve as a reference for identifying the flavor of FMBF. © 2024 Society of Chemical Industry. [ABSTRACT FROM AUTHOR]

Microsporidia are opportunistic fungal‐like pathogens that cause microsporidiosis, which results in significant economic losses and threatens public health. Infection of domesticated silkworms by the microsporidium Nosema bombycis causes pébrine disease, for which this species of microsporidia has received much attention. Research has been conducted extensively on this microsporidium over the past few decades to better understand its infection, transmission, host–parasite interaction, and detection. Several tools exist to study this species including the complete genome sequence of N. bombycis. In addition to the understanding of N. bombycis being important for the silkworm industry, this species has become a model organism for studying microsporidia. Research on biology of N. bombycis will contribute to the development of knowledge regarding microsporidia and potential antimicrosporidia drugs. Furthermore, this will provide insight into the molecular evolution and functioning of other fungal pathogens. [ABSTRACT FROM AUTHOR]

Robotic manipulators usually exhibit time‐varying, nonlinear, and coupled dynamics due to the parameter perturbations, disturbances, and other uncertainties. Traditional control algorithms typically do not possess parameters' self‐adaptive learning ability, limiting the tracking performance of the robot. In order to address these issues, an adaptive sliding mode control method based on reinforcement learning (ASMRL) is proposed in this paper, where a proportional–integral sliding mode (PISM) controller is used to address the nonlinear problem in the system, and deep deterministic policy gradient (DDPG) agent is adopted to conduct the parameters' learning of the PISM controller using its adaptive characteristics and the autonomous learning ability. The simulation results illustrate that the proposed method can effectively achieve better tracking performance compared with two other control methods, demonstrating the effectiveness of the proposed approach. [ABSTRACT FROM AUTHOR]

This paper studies the formation control of multiple quadrotor unmanned aerial vehicle systems (MQUAVSs) with external disturbance. A new adaptive fixed‐time cooperative control protocol is designed for MQUAVSs. A fixed‐time command filtered compensation control technology is presented to overcome the "explosion of complexity" issue, and a new fixed‐time error compensation signal is designed to compensate the filtering error, which improves the convergence speed of the system. Adaptive neural network technology is introduced to deal with unknown nonlinear functions in the system. A fixed‐time stability theorem is presented for MQUAVSs to ensure that MQUAVSs can reach the predetermined formation and the formation tracking errors converge to the neighborhood of the origin in a fixed time. Finally, the effectiveness of the proposed method is verified by the formation simulation of MQUAVs. [ABSTRACT FROM AUTHOR]

Wetlands are the largest natural source of CH4 globally, yet our understanding of how environmental parameters and microorganisms affect the production and emission of CH4 in emergent plant–sediment systems remains limited. In this study, CH4 fluxes were investigated in a wetland with Canna indica for 42 d, as well as nutrients and microbial community. It was found that the chimney effect formed by aerenchyma in roots, stems, and leaves of C. indica promoted the emission and oxidation of CH4 in the wetland and reduced the CH4 concentration in sediments. Canna indica reduced the nutrient release from surface sediments into the overlying water. Pearson correlation analysis showed that temperature, pH, and oxidation–reduction potential were the main influencing factors for CH4 production and oxidation in the wetland. Canna indica inhibited the diversity of archaeal community but promoted the diversity of bacterial community in the rhizosphere. Stochastic processes had a greater impact on bacterial and archaeal succession trajectories in wetland sediments. Network analysis showed that C. indica promoted interactions among bacteria and archaea that enhanced their ability to resist environmental interference. The well‐developed aerenchyma of C. indica provided an important passage for the transport of CH4 from sediments to the atmosphere and shaped the microbial community structure in the rhizosphere. Meanwhile, CH4 emissions were also constrained by several variables, such as temperature and physiological adaptation in the long term. Thus, it is necessary to plant emergent plants in areas with low CH4 emissions and optimize plant configuration in the context of global warming. [ABSTRACT FROM AUTHOR]

Reconstruction‐engineered electrocatalysts with enriched high active Ni species for urea oxidation reaction (UOR) have recently become promising candidates for energy conversion. However, to inhibit the over‐oxidation of urea brought by the high valence state of Ni, tremendous efforts are devoted to obtaining low‐value products of nitrogen gas to avoid toxic nitrite formation, undesirably causing inefficient utilization of the nitrogen cycle. Herein, we proposed a mediation engineering strategy to significantly boost high‐value nitrite formation to help close a loop for the employment of a nitrogen economy. Specifically, platinum‐loaded nickel phosphides (Pt‐Ni2P) catalysts exhibit a promising nitrite production rate (0.82 mol kWh−1 cm−2), high stability over 66 h of Zn‐urea‐air battery operation, and 135 h of co‐production of nitrite and hydrogen under 200 mA cm−2 in a zero‐gap membrane electrode assembly (MEA) system. The in situ spectroscopic characterizations and computational calculations demonstrated that the urea oxidation kinetics is facilitated by enriched dynamic Ni3+ active sites, thus augmenting the "cyanate" UOR pathway. The C−N cleavage was further verified as the rate‐determining step for nitrite generation. [ABSTRACT FROM AUTHOR]

Ferroptosis, an iron‐dependent form of cell death, plays a crucial role in the progression of liver injury in Wilson's disease (WD). Gandouling (GDL) has emerged as a potential therapeutic agent for preventing and treating liver injury in WD. However, the precise mechanisms by which GDL mitigates ferroptosis in WD liver injury remain unclear. In this study, we discovered that treating Toxic Milk (TX) mice with GDL effectively decreased liver copper content, corrected iron homeostasis imbalances, and lowered lipid peroxidation levels, thereby preventing ferroptosis and improving liver injury. Bioinformatics analysis and machine learning algorithms identified Hspb1 as a pivotal regulator of ferroptosis. GDL treatment significantly upregulated the expression of HSPB1 and its upstream regulatory factor HSF1, thereby activating the HSF1/HSPB1 pathway. Importantly, inhibition of this pathway by NXP800 reversed the protective effects of GDL on ferroptosis in the liver of TX mice. In conclusion, GDL shows promise in alleviating liver injury in WD by inhibiting ferroptosis through modulation of the HSF1/HSPB1 pathway, suggesting its potential as a novel therapeutic agent for treating liver ferroptosis in WD. [ABSTRACT FROM AUTHOR]

Cancer‐associated fibroblasts (CAFs) are an important component of the tumor microenvironment (TME) and can induce functional polarization of tumor macrophages. This study aimed to explore the effect of CAFs‐derived exosome LINC01833 on the malignant biological behavior of non‐small cell lung cancer (NSCLC) cells and its mechanism. Tumor tissues (n = 3) and adjacent noncancerous tissues (n = 3) were collected from patients with NSCLC, and fibroblasts (CAF, NF) were isolated from the two tissues. Expression of LINC01833/miR‐335‐5p/VAPA in NSCLC clinical tissues and cell lines was detected by RT‐qPCR. Exosomes of CAFs and NFs were isolated by ultracentrifugation. Cell proliferation, migration, invasion, and M2 macrophage polarization were detected by MTT, transwell, wound‐healing assay, and flow cytometry assay, while western blot was used to verify the expression of M2 macrophage polarization‐related proteins. Tumor volume weight and M2 macrophage polarization were detected by tumor xenografts in nude mice. LINC01833 was highly expressed in NSCLC tumor tissues and cells. Knockdown of LINC01833 exosomes could significantly inhibit proliferation, migration, invasion of NSCLC cells, and M2 macrophage polarization of THP‐1 cells, while simultaneous knockdown of miR‐335‐5p on the above basis could reverse the effect of knockdown of LINC01833. In vivo experiments also indicated that knockdown of LINC01833 exosomes suppressed tumor growth and M2 macrophage polarization. CAF‐derived LINC01833 exosomes can promote the proliferation, migration and invasion of NSCLC cells and M2 macrophage polarization by inhibiting miR‐335‐5p and regulating VAPA activity. [ABSTRACT FROM AUTHOR]

The real world consists of mass phenomena, such as iridescence on thin film and metal oxide layers, that is only explicable by wave optics. Existing research can reproduce such effects with simple point lights or low‐frequency environmental lighting. However, it remains a difficult task to efficiently rendering these effects when near‐field, high‐frequency area lights are involved. This paper presents a high‐fidelity, real‐time rendering algorithm for the iridescence effect under polygonal lights. We introduce a novel set of spherical functions, Monomial‐Gaussians, to accurately fit iridescent materials' reflectance. With a precomputed lookup table, the Monomial‐Gaussians are easily integrated over spherical polygons in linear time. Importance sampling of Monomial‐Gaussians is also supported to efficiently reduce Monte‐Carlo error. Our approach produces accurate renderings of the iridescence effect while still preserving high frame rates. [ABSTRACT FROM AUTHOR]

Quantifying seasonal deformation is essential for accurately determining the thickness of the active layer and the distribution of water content within it, providing insights into the freeze‐thaw dynamics of permafrost environments and their sensitivity to climate change. Due to the limited hydraulic conductivity of the underlying permafrost, the freeze‐thaw processes are largely confined to the active layer, allowing for predictable seasonal deformations. This study employed Independent Component Analysis to isolate large‐scale seasonal deformation from Interferometric Synthetic Aperture Radar (InSAR) measurements taken from 2016 to 2020 in the Yangtze River Source Region (YRSR) of the Qinghai‐Tibet Plateau (QTP), covering 18,500 km2. We developed dedicated machine learning (ML) models that integrate these InSAR‐derived measurements with various environmental proxies. By applying these models to the YRSR, we generated a comprehensive, full‐coverage deformation map for permafrost terrains, achieving an R2 value of 0.91 and an Root Mean Squared Error of approximately 0.5 cm, thus confirming the model's strong predictability of seasonal deformation in permafrost regions. Deformation magnitude varied from less than 1 cm to over 10 cm. Our analysis suggests that terrain attributes, influenced by climate and soil conditions, are the primary factors driving these deformations. This research provides valuable insights into quantifying permafrost‐related seasonal deformation across expansive and rural landscapes. It also aids in assessing subsurface hydrological processes and the resilience and vulnerability of permafrost. The developed ML algorithm, with access to precise environmental data, is capable of forecasting seasonal deformations across the entire QTP and potentially throughout the Arctic. Plain Language Summary: Seasonal ground deformation, including both subsidence and uplift, is common in areas with a layer of ground that freezes and thaws seasonally, underlain by permafrost‐a type of ground that remains at or below 0°C for at least 2 years. These deformations are crucial indicators of changes in water content and thickness of this layer, offering insights into the freeze‐thaw dynamics of cold environments and their sensitivity to climate change. However, accurately mapping ground deformation over large areas has been challenging. In this study, we developed machine learning (ML) models that use radar remote sensing data, statistical methods, and a set of environmental variables to predict these seasonal ground movements. Our models can accurately forecast seasonal deformation using readily available environmental data. We find that slope of the terrain is the main factor influencing seasonal deformation, with climate and soil conditions also playing significant roles. This research offers new ways to measure and understand ground deformation in remote permafrost regions and demonstrates how ML can be used to predict such deformations on a continental or even global scale large. Our findings provide valuable insights for environmental scientists and could help inform strategies for managing these regions under changing climatic conditions. Key Points: Our results underscore the predictability of seasonal deformation with high accuracy in permafrost terrainsMachine learning models predict full‐coverage seasonal deformation with high accuracy (R2 = 0.91, Root Mean Squared Error [RMSE] = 0.5 cm)Seasonal deformation is primarily determined by terrain slope and regulated by climate and soil conditions [ABSTRACT FROM AUTHOR]

Glycogen storage diseases (GSDs) are abnormally inherited glycogen metabolism mainly affecting the liver, muscles, and heart. Deficiency of proteins involved in glycogen metabolism caused by genetic mutations are responsible for different subtype of GSDs. However, there are still some challenges in diagnosing GSD. This study includes 39 suspected GSDs patients from unrelated families in China. Next‐generation sequencing (NGS) was used to investigate the reason for their diseases at the genetic level. Finally, all 39 patients were diagnosed with GSDs, including 20 GSD‐Ia, 4 GSD‐VI, and 15 GSD IX (12 GSD‐IXa patients and 3 GSD‐IXb patients). Thirty‐two mutations in G6PC1, PYGL, PHKA2, and PHKB genes were identified, with 14 of them being novel variants. The pathogenicity of novel variants was classified according to ACMG guildlines and predicted by in slico algorithms. Mutations p.L216L and p.R83H in G6PC1 gene may be the hot spot mutation in Chinese. Hearing impairment is a rare clinical feature of GSD Ia, which has also been observed in our cohort. The severity of GSD VI and IX was indicated by our patients. Close follow‐up should be applied to GSD VI and IX patients. Our findings provided evidence for building the phenotype–genotype of GSDs and expanded the mutation spectrum of related genes. [ABSTRACT FROM AUTHOR]

Zn‐Co/air hybrid batteries showcase enhanced energy efficiency, power density, and stability compared to Zn‐air batteries. Nevertheless, it remains challenging to fabricate multi‐functional cathode materials with fast reaction kinetics. Herein the synthesis of a wheat‐like cathode composed of the “cereal‐grains” of densely arranged Co/Co2P heterostructures grown on the “central stems” of P/N codoped carbon nanofibers (denoted as Co/Co2P@PNCF) is presented. The biomimetic nanostructures not only offer abundant exposed active sites to maximize accessibility but also establish efficient multi‐channel networks for both electron transfer and O2/OH− diffusion. Furthermore, the active species of high‐valent Co, resulting from self‐reconstruction of the Co/Co2P heterojunction during the first cycle, create efficient Co2+ ↔ Co4+ redox pairs and provide additional charging‐discharging voltage plateaus. In situ Raman spectroscopy measurement combined with ex situ X‐ray diffraction evidence supports the reversible process of Co3+/4+Ox(OH)y ↔ KxCo2+/3+Oy, leading to improved efficiency and durability of the battery. As a result, Zn‐Co/air hybrid battery based on the Co/Co2P@PNCF exhibits a remarkable power density (321 mW cm−2), ultralong cycle stability (700 h), and a large energy efficiency (62% at 20 mA cm−2). [ABSTRACT FROM AUTHOR]

MXene usually exhibits weak pseudo‐capacitance behavior in aqueous zinc‐ion batteries, which cannot provide sufficient reversible capacity, resulting in the decline of overall capacity when used as the cathode materials. Taking inspiration from polymer electrolyte engineering, we have conceptualized an in situ induced growth strategy based on MXene materials. Herein, 5.25 % MXene was introduced into the nucleation and growth process of vanadium oxide (HVO), providing the heterogeneous nucleation site and serving as an initiator to regulate the morphology and structural of vanadium oxide (T‐HVO). The resulted materials can significantly improve the capacity and rate performance of zinc‐ion batteries. The growth mechanism of T‐HVO was demonstrated by both characterizations and DFT simulations, and the improved performance was systematically investigated through a series of in situ experiments related to dynamic analysis steps. Finally, the evaluation and comparison of various defect introduction strategies revealed the efficient, safety, and high production output characteristics of the in situ induced growth strategy. This work proposes the concept of in situ induced growth strategy and discloses the induced chemical mechanism of MXene materials, which will aid the understanding, development, and application of cathode in aqueous zinc‐ion batteries. [ABSTRACT FROM AUTHOR]