Staphylococcus aureus(S.aureus)is the third most common pathogen causing 10.6%of bacterial foodborne illnesses in China in 2021[1].Heat-stable Staphylococcal Enterotoxins(SEs)produced by S.aureus are the main contribu...Staphylococcus aureus(S.aureus)is the third most common pathogen causing 10.6%of bacterial foodborne illnesses in China in 2021[1].Heat-stable Staphylococcal Enterotoxins(SEs)produced by S.aureus are the main contributors to staphylococcal food poisoning(SFP),causing vomiting,diarrhea,abdominal pain,headache,muscle cramps,and other acute gastroenteritis symptoms.More than 25 SEs and staphylococcal enterotoxin-like toxins(SE/s)have been described and which together comprise a superfamily of pyrogenic toxin superantigens(SAgs)[2].展开更多
High-nickel cathode,LiNi0.8Co0.1Mn0.1O_(2)(NCM811),and sulfide-solid electrolyte are a promising combination for all-solid-state lithium batteries(ASSLBs).However,this combination faces the issue of interfacial instab...High-nickel cathode,LiNi0.8Co0.1Mn0.1O_(2)(NCM811),and sulfide-solid electrolyte are a promising combination for all-solid-state lithium batteries(ASSLBs).However,this combination faces the issue of interfacial instability between the cathode and electrolyte.Given the surface alkalinity of NCM811,we propose a strategy to construct a solid-polymer-electrolyte(SPE)interphase on NCM811 surface by leveraging the surface alkaline residues to nucleophilically initiate the in-situ ring-opening polymerization of cyclic organic molecules.As a proof-of-concept,this study demonstrates that the ring-opening copolymerization of 1,3-dioxolane and maleic anhydride produces a homogeneous,compact,and conformal SPE layer on NCM811 surface to prevent the cathode from contact and reaction with Li6PS5Cl solid-state electrolyte.Consequently,the SPE-modified-NCM811 in ASSLBs exhibits high capacities of 193.5 mA h g^(-1) at 0.2 C,160.9 mA h g^(-1) at 2.0 C and 112.3 mA h g^(-1) at 10 C,and particularly,excellent long-term cycling stabilities over 11000 cycles with a 71.95%capacity retention at 10 C at 25℃,as well as a remained capacity of 117.9 mA h g^(-1) after 8000 cycles at 30 C at 60℃,showing a great application prospect.This study provides a new route for creating electrochemically and structurally stable solid-solid interfaces for ASSLBs.展开更多
Objective Cerebral venous outflow disorders(CVOD)can impair cerebral perfusion and produce diverse,often debilitating symptoms,substantially reducing quality of life.Intermittent hypoxiahyperoxia training(IHHT)has dem...Objective Cerebral venous outflow disorders(CVOD)can impair cerebral perfusion and produce diverse,often debilitating symptoms,substantially reducing quality of life.Intermittent hypoxiahyperoxia training(IHHT)has demonstrated therapeutic potential across various pathologies and may represent a promising non-pharmacological approach for CVOD management.Methods Patients with imaging-confirmed CVOD underwent 14 IHHT sessions,each comprising four cycles of 10-minute hypoxia(11%O_(2))stimulation and 20-minute hyperoxia(38%O_(2)).Physiological parameters and adverse events were monitored throughout the intervention.Clinical scales,24-hour ambulatory blood pressure,blood tests,jugular ultrasound,and perfusion imaging were assessed preand post-intervention.Results No participants experienced intolerable discomfort or severe adverse events;vital signs remained within normal ranges.No significant changes were observed in 24-hour blood pressure,blood cell counts,lipid profiles,or other blood markers.Notably,60%of patients(n=12)reported overall symptom improvement on the Patient Global Impression of Change scale.Headache severity,as measured by the visual analogue scale,significantly decreased(6.33±1.22 vs.4.89±2.03,P=0.016).In patients with internal jugular vein(IJV)stenosis,significant improvements were observed in regional cerebral blood flow(including the insula,occipital lobe,internal capsule,and lenticula)and left J3-segment IJV flow volume(107.27[47.50,160.00]vs.140.83[55.00,210.00]mL/min,P=0.011).Conclusion The current IHHT protocol is safe and well-tolerated in patients with CVOD.IHHT may alleviate CVOD-related symptoms by improving oxygen saturation,cerebral perfusion,and venous outflow pattern,supporting its potential as a non-invasive therapeutic strategy.展开更多
High-fat diets(HFD)disrupt lipid homeostasis,posing major public health risks.This study investigated the effect of ACA-DK,an insoluble dietary fiber derived from Antrodia camphorata,on HFD-induced dyslipidemia.We dem...High-fat diets(HFD)disrupt lipid homeostasis,posing major public health risks.This study investigated the effect of ACA-DK,an insoluble dietary fiber derived from Antrodia camphorata,on HFD-induced dyslipidemia.We demonstrate that ACA-DK effectively alleviates HFD-induced dyslipidemia in mice,counteracting metabolic disorders,aberrant blood lipids,and weight gain.Mechanistically,ACA-DK modulates triglycerides,phosphatidylcholine,and phosphatidylethanolamine via glycerophospholipid/choline/linoleic acid metabolism pathways,while rectifying gut dysbiosis through selective reduction of pro-inflammatory genera(Oscillibacter,Ruminiclostridium,Negativibacillus,Ruminococcaceae and Helicobacter).Integrated analysis identifies Ruminococcaceae and Helicobacter as key mediators of ACA-DK's lipid-regulatory effects,establishing microbiota-directed therapy as a strategy against dyslipidemia.We thus propose ACA-DK as a microbiota-directed dual-target therapy,simultaneously reprogramming host lipid metabolism and gut ecology to combat diet-induced metabolic diseases.These findings suggest that ACA-DK is a promising prebiotic dietary fiber for ameliorating HFD-induced lipid metabolic disorders,with potential for future development into functional foods or supplements.展开更多
As a high-energy-density primary battery,the Li-SOCl_(2) battery offers significant advantages over other primary systems,including a high operating voltage,wide temperature tolerance,and low self-discharge rate.Howev...As a high-energy-density primary battery,the Li-SOCl_(2) battery offers significant advantages over other primary systems,including a high operating voltage,wide temperature tolerance,and low self-discharge rate.However,owing to the irreversible electrochemical reaction mechanism,despite its energy density of up to 700 Wh kg^(-1) at the cell level,this battery system has remained confined to the category of primary batteries,thereby limiting its use in cyclic applications.Recent advances in electrochemical technologies have enabled the reversible redox chemistry of Li-SOCl_(2) batteries,transforming them into rechargeable systems.This article provides a systematic overview of the technical evolution,reaction mechanisms,safety constraints,engineering countermeasures,and electrochemical performance enhancement of Li-SOCl_(2) primary batteries since their introduction.First,the modification methods for the lithium anode,carbon cathode,electrolyte,and electrocatalyst in Li-SOCl_(2) primary batteries are discussed,along with their mechanisms for improving electrochemical performance.We then review the SOCl_(2)-based rechargeable Li metal batteries(LMBs)that evolved from the Li-SOCl_(2) primary batteries.With their higher energy density,these systems have become promising candidates to replace traditional Li-ion batteries(LIBs).This review focuses on the construction of key components,such as the positive electrode carrier,novel alloy anode,and electrolyte,as well as their impact on electrochemical performance in rechargeable batteries.Finally,we summarize current research progress and propose future directions for SOCl_(2)-based LMBs aimed at enhancing overall electrochemical performance.These insights provide a theoretical foundation for the development of next-generation high-energy-density energy-storage technologies.展开更多
Halide perovskites have emerged as promising materials for X-ray detection with exceptional properties and reasonable costs.Among them,heterostructures between 3D perovskites and low-dimensional perovskites attract in...Halide perovskites have emerged as promising materials for X-ray detection with exceptional properties and reasonable costs.Among them,heterostructures between 3D perovskites and low-dimensional perovskites attract intensive studies of their advantages due to low-level ion migration and decent stability.However,there is still a lack of methods to precisely construct heterostructures and a fundamental understanding of their structure-dependent optoelectronic properties.Herein,a gas-phase method was developed to grow 2D perovskites directly on 3D perovskites with nanoscale accuracy.In addition,the larger steric hindrance of organic layers of 2D perovskites was proved to enable slower ion migration,which resulted in reduced trap states and better stability.Based on MAPbBr_(3)single crystals with the(PA)_(2)PbBr_(4)capping layer,the X-ray detector achieved a sensitivity of 22,245μC Gy_(air)^(−1)cm^(−2),a response speed of 240μs,and a dark current drift of 1.17.10^(–4)nA cm^(−1)s^(−1)V^(−1),which were among the highest reported for state-of-the-art perovskite-based X-ray detectors.This study presents a precise synthesis method to construct perovskite-based heterostructures.It also brings an in-depth understanding of the relationship between lattice structures and properties,which are beneficial for advancing high-performance and cost-effective X-ray detectors.展开更多
The sleep-wake cycle stands as an integrative process essential for sustaining optimal brain function and,either directly or indirectly,overall body health,encompassing metabolic and cardiovascular well-being.Given th...The sleep-wake cycle stands as an integrative process essential for sustaining optimal brain function and,either directly or indirectly,overall body health,encompassing metabolic and cardiovascular well-being.Given the heightened metabolic activity of the brain,there exists a considerable demand for nutrients in comparison to other organs.Among these,the branched-chain amino acids,comprising leucine,isoleucine,and valine,display distinctive significance,from their contribution to protein structure to their involvement in overall metabolism,especially in cerebral processes.Among the first amino acids that are released into circulation post-food intake,branched-chain amino acids assume a pivotal role in the regulation of protein synthesis,modulating insulin secretion and the amino acid sensing pathway of target of rapamycin.Branched-chain amino acids are key players in influencing the brain's uptake of monoamine precursors,competing for a shared transporter.Beyond their involvement in protein synthesis,these amino acids contribute to the metabolic cycles ofγ-aminobutyric acid and glutamate,as well as energy metabolism.Notably,they impact GABAergic neurons and the excitation/inhibition balance.The rhythmicity of branchedchain amino acids in plasma concentrations,observed over a 24-hour cycle and conserved in rodent models,is under circadian clock control.The mechanisms underlying those rhythms and the physiological consequences of their disruption are not fully understood.Disturbed sleep,obesity,diabetes,and cardiovascular diseases can elevate branched-chain amino acid concentrations or modify their oscillatory dynamics.The mechanisms driving these effects are currently the focal point of ongoing research efforts,since normalizing branched-chain amino acid levels has the ability to alleviate the severity of these pathologies.In this context,the Drosophila model,though underutilized,holds promise in shedding new light on these mechanisms.Initial findings indicate its potential to introduce novel concepts,particularly in elucidating the intricate connections between the circadian clock,sleep/wake,and metabolism.Consequently,the use and transport of branched-chain amino acids emerge as critical components and orchestrators in the web of interactions across multiple organs throughout the sleep/wake cycle.They could represent one of the so far elusive mechanisms connecting sleep patterns to metabolic and cardiovascular health,paving the way for potential therapeutic interventions.展开更多
Diatomic metasurfaces designed for interferometric mechanisms possess significant potential for the multidimensional manipulation of electromagnetic waves,including control over amplitude,phase,frequency,and polarizat...Diatomic metasurfaces designed for interferometric mechanisms possess significant potential for the multidimensional manipulation of electromagnetic waves,including control over amplitude,phase,frequency,and polarization.Geometric phase profiles with spin-selective properties are commonly associated with wavefront modulation,allowing the implementation of conjugate strategies within orthogonal circularly polarized channels.Simultaneous control of these characteristics in a single-layered diatomic metasurface will be an apparent technological extension.Here,spin-selective modulation of terahertz(THz)beams is realized by assembling a pair of meta-atoms with birefringent effects.The distinct modulation functions arise from geometric phase profiles characterized by multiple rotational properties,which introduce independent parametric factors that elucidate their physical significance.By arranging the key parameters,the proposed design strategy can be employed to realize independent amplitude and phase manipulation.A series of THz metasurface samples with specific modulation functions are characterized,experimentally demonstrating the accuracy of on-demand manipulation.This research paves the way for all-silicon meta-optics that may have great potential in imaging,sensing and detection.展开更多
BACKGROUND Colorectal cancer(CRC)is the third most common cancer globally,causing over 900000 deaths annually.Risk factors include aging,diet,obesity,sedentary lifestyle,tobacco use,genetic predisposition,and inflamma...BACKGROUND Colorectal cancer(CRC)is the third most common cancer globally,causing over 900000 deaths annually.Risk factors include aging,diet,obesity,sedentary lifestyle,tobacco use,genetic predisposition,and inflammatory bowel disease.Despite current treatments,survival rates for advanced CRC remain low,highlighting the need for better therapeutic strategies.AIM To evaluate both the clinical significance and the pathological implications of the Kinesin family member 14(KIF14)expression within CRC specimens.Additionally,this study aims to investigate the interaction between nitidine chloride(NC)and KIF14,considering their potential as therapeutic targets.METHODS The expression of the KIF14 protein in CRC was analyzed using immunohistochemical staining.The integration of multicenter high-throughput data facilitated the calculation of the standardized mean difference(SMD)for KIF14 mRNA levels.The assessment of clinical and pathological impact was enhanced by analyzing combined receiver operating characteristic curves,along with measures of sensitivity,specificity,and likelihood ratios.Additionally,clustered regularly interspaced short palindromic repeats knockout screening for cell growth and single-cell sequencing were employed to validate the significance of KIF14 expression in CRC.Survival analysis established the prognostic value of KIF14 in CRC.The molecular mechanism of NC against CRC was elucidated through whole-genome sequencing and enrichment analysis,and molecular docking was utilized to explore the targeting affinity between NC and KIF14.RESULTS KIF14 was highly expressed in 208 CRC patients.Data from 17 platforms involving 2436 CRC samples and 1320 noncancerous colorectal tissue controls indicated that KIF14 expression was significantly higher in CRC samples,with an SMD of 1.92(95%CI:1.49-2.35).The area under the curve was 0.94(95%CI:0.92-0.96),with a sensitivity of 0.85(95%CI:0.78-0.90)and a specificity of 0.90(95%CI:0.85-0.93).The positive and negative likelihood ratios were 8.38(95%CI:5.39-13.02)and 0.17(95%CI:0.11-0.26),respectively.At the single-cell level,significant overexpression of KIF14 was observed in CRC cells(P<0.001),with 35 CRC cell lines dependent on KIF14 for growth.The K-M plots demonstrated that KIF14 possesses prognostic value in CRC patients within the GSE71187 and GSE103679 datasets(P<0.05).Binding energy calculations indicated that KIF14 is a potential target for NC(binding energy:10.3 kcal/mol).CONCLUSION KIF14 promotes the growth of CRC cells and acts as an oncogenic factor,potentially serving as a therapeutic target for NC in the treatment of CRC.展开更多
The lithospheric magnetic field is an important component of the geomagnetic field,and the oceanic lithosphere exhibits distinct characteristics.Because of its formation mechanisms,evolutionary history,and geomagnetic...The lithospheric magnetic field is an important component of the geomagnetic field,and the oceanic lithosphere exhibits distinct characteristics.Because of its formation mechanisms,evolutionary history,and geomagnetic field polarity reversals,the oceanic lithosphere has significant remanent magnetization,which causes magnetic anomaly stripes parallel to the mid-ocean ridges.However,it is difficult to construct a high-resolution lithospheric magnetic field model in oceanic regions with relatively sparse data or no data.Using forward calculated lithospheric magnetic field data based on an oceanic remanent magnetization(ORM) model with physical and geological foundations as a supplement is a feasible approach.We first collect the latest available oceanic crust age grid,plate motion model,geomagnetic polarity timescale,and oceanic lithosphere thermal structure.Combining the assumptions that the paleo geomagnetic field is a geocentric axial dipole field and that the normal oceanic crust moves only in the horizontal direction,we construct a vertically integrated ORM model of the normal oceanic crust with a known age,including the intensity,inclination,and declination.Both the ORM model and the global induced magnetization(GIM) model are then scaled from two aspects between their forward calculated results and the lithospheric magnetic field model LCS-1.One aspect is the difference in their spherical harmonic power spectra,and the other is the misfit between the grid data over the oceans.We last compare the forward calculated lithospheric magnetic anomaly from the scaled ORM and GIM models with the Macao Science Satellite-1(MSS-1) observed data.The comparison results show that the magnetic anomalies over the normal oceanic crust regions at satellite altitude are mainly contributed by the high-intensity remanent magnetization corresponding to the Cretaceous magnetic quiet period.In these regions,the predicted and observed anomalies show good consistency in spatial distribution,whereas their amplitude differences vary across regions.This result suggests that regional ORM construction should be attempted in future work to address these amplitude discrepancies.展开更多
Small signaling peptides,generally comprising fewer than 100 amino acids,act as crucial signaling molecules in cell-to-cell communications.Upon perception by their membrane-localized corresponding receptors or co-rece...Small signaling peptides,generally comprising fewer than 100 amino acids,act as crucial signaling molecules in cell-to-cell communications.Upon perception by their membrane-localized corresponding receptors or co-receptors,these peptide-receptor modules then(de)activate either long-distance or local signaling pathways,thereby orchestrating developmental and adaptive responses via(post)transcriptional,(post)translational,and epigenetic regulations.The physiological functions of small signaling peptides are implicated in a multitude of developmental processes and adaptive responses,including but not limited to,shoot and root morphogenesis,organ abscission,nodulation,Casparian strip formation,pollen development,taproot growth,and various abiotic stress responses such as aluminum,cadmium,drought,cold,and salinity.Additionally,they play a critical role in response to pathogenic invasions.These small signaling peptides also modulate significant agronomic and horticultural traits,such as fruit size,maize kernel development,fiber elongation,and rice awn formation.Here,we underscore the roles of several small signaling peptide families such as CLE,RALF,EPFL,mi PEP,CEP,IDA/IDL,and PSK in regulating these biological processes.These novel insights will deepen our current understanding of small signaling peptides,and offer innovative strategies for genetic breeding stress-tolerant crops and horticultural plants,contributing to establish sustainable agricultural systems.展开更多
Semantic segmentation of concrete bridge defect images frequently encounters challenges due to insufficient precision and the limited computational capabilities ofmobile devices,thereby considerably affecting the reli...Semantic segmentation of concrete bridge defect images frequently encounters challenges due to insufficient precision and the limited computational capabilities ofmobile devices,thereby considerably affecting the reliability of bridge defect monitoring and health assessment.To tackle these issues,a concrete defects dataset(including spalling,crack,and exposed steel rebar)was curated and multiple semantic segmentation models were developed.In these models,a deep convolutional network or a lightweight convolutional network were employed as the backbone feature extraction networks,with different loss functions configured and various attention mechanism modules introduced for conducting multi-angle comparative research.The comparison of results indicates that utilizing VGG16 as the backbone network of U-Net for semantic segmentation of multi-class concrete defects images resulted in the highest recognition accuracy,achieving a Mean Intersection over Union(MIoU)of 80.37%and a Mean Pixel Accuracy(MPA)of 90.03%.The optimal combination of loss functions was found to be Focal loss and Dice loss.The lightweight convolutional network Mobile NetV2-DeeplabV3 slightly reduced recognition accuracy but significantly decreased the number of parameters,resulting in a faster detection speed of 71.87 frames/s,making it suitable for real-time defect detection.After integrating the SE(Squeeze-and-Excitation),CBAM(Convolutional Block Attention Module),and Coordinate Attention(CA)modules,both VGG16-U-Net and MobileNetV2-DeeplabV3 achieved improved recognition accuracy.Among them,the CAmodule(Coordinate Attention)effectively guides the model to accurately identify subtle concrete defects.The improved VGG16-U-Net can identify previously the new untrained concrete defect images in the concrete structural health monitoring(SHM)system,and the recognition accuracy can meet the demand for intelligent defect image recognition for structural health monitoring of concrete structures.展开更多
Precipitation via thermal treatments is among the most effective approaches to strengthening and is widely applied in the Al industry. Thermal treatments combined with deformation are capable of finely regulating the ...Precipitation via thermal treatments is among the most effective approaches to strengthening and is widely applied in the Al industry. Thermal treatments combined with deformation are capable of finely regulating the process of precipitation and distribution of precipitates. Deformation-induced defects exert significant impacts on the precipitation and already present precipitates, which however is often overlooked. In this study, the interactions between deformation and precipitation/precipitates, and their impacts on mechanical properties were systematically investigated in the solution-treated (ST) Al-0.61Mg-1.17Si-0.5Cu (wt.%), processed by multi-pass equal channel angular pressing (ECAP) and thermal treatments. Novel deformation-mediated cyclic evolution of precipitates is discovered: ST→ (1,2 passes: deformation induced precipitation) Guinier Preston (GP) zones→ (An250/30) Q’ and L phases→ (3-pass: deformation induced fragmentation/resolution) spherical precipitates→ (4-pass: deformation induced further fragmentation/resolution) GP zones. On this basis, we extend the quasi-binary phase diagram of Al-Mg_(2)Si along deformation as the third dimension and construct an innovative defect phase diagram for the Al-Mg-Si-based system. To testify to the effect of deformation-mediated cyclic evolution of precipitation/precipitates on the optimum mechanical properties, peak-aging treatments were performed in samples of ST and 3-pass states. Based on the microscopic characterizations, a distinctive mechanism of peak-aging strengthening is proposed. Notably in the 3-pass ECAPed and peak-aged sample the dominant strengthening phases become the L precipitates that thrived from the segmented and spherical L phases, rather than β’’ precipitates in the solely peak-aged ST sample. Our work provides a feasible example for exploring the combined processing technique of multi-step deformation and thermal treatments, to optimize the mechanical properties.展开更多
Fatigue analysis of engine turbine blade is an essential issue.Due to various uncertainties during the manufacture and operation,the fatigue damage and life of turbine blade present randomness.In this study,the random...Fatigue analysis of engine turbine blade is an essential issue.Due to various uncertainties during the manufacture and operation,the fatigue damage and life of turbine blade present randomness.In this study,the randomness of structural parameters,working condition and vibration environment are considered for fatigue life predication and reliability assessment.First,the lowcycle fatigue problem is modelled as stochastic static system with random parameters,while the high-cycle fatigue problem is considered as stochastic dynamic system under random excitations.Then,to deal with the two failure modes,the novel Direct Probability Integral Method(DPIM)is proposed,which is efficient and accurate for solving stochastic static and dynamic systems.The probability density functions of accumulated damage and fatigue life of turbine blade for low-cycle and high-cycle fatigue problems are achieved,respectively.Furthermore,the time–frequency hybrid method is advanced to enhance the computational efficiency for governing equation of system.Finally,the results of typical examples demonstrate high accuracy and efficiency of the proposed method by comparison with Monte Carlo simulation and other methods.It is indicated that the DPIM is a unified method for predication of random fatigue life for low-cycle and highcycle fatigue problems.The rotational speed,density,fatigue strength coefficient,and fatigue plasticity index have a high sensitivity to fatigue reliability of engine turbine blade.展开更多
LiMnxFe1-xPO_(4) is a promising cathode candidate due to its high security and the availability of a high 4.1 V operating voltage and high energy density.However,the poor electrochemical kinetics and structural instab...LiMnxFe1-xPO_(4) is a promising cathode candidate due to its high security and the availability of a high 4.1 V operating voltage and high energy density.However,the poor electrochemical kinetics and structural instability currently hinder its broader application.Herein,inspired by the hydrogen-bonded cross-linking and steric hindrance effect between short-chain polymer molecules(polyethylene glycol-400,PEG-400),the pomegranate-type LiMn_(0.5)Fe_(0.5)PO_(4)-0.5@C(P-LMFP@C)cathode materials with 3D ion/electron dual-conductive network structure were constructed through ball mill-assisted spray-drying method.The intermolecular effects of PEG-400 promote the spheroidization and uniform PEG coating of LMFP precursor,which prevents agglomeration during sintering.The 3D ion/electron dual-conductive network structure in P-LMFP@C accelerates the Li^(+)transport kinetics,improving the rate performance and cycling stability.As a result,the designed P-LMFP@C has remarkable electrochemical behavior,boasting excellent capacity retention(98%after 100 cycles at the 1C rate)and rate capability(91 mAh·g^(-1)at 20C).Such strategy introduces a novel window for designing high-performance olivine cathodes and offers compatibility with a range of energy storage materials for diverse applications.展开更多
Bamboo was one of the first plants to be cultivated in China and is widely used in industry and daily life.The study of gene function has become an important part of bamboo breeding,whereas quantitative real-time PCR(...Bamboo was one of the first plants to be cultivated in China and is widely used in industry and daily life.The study of gene function has become an important part of bamboo breeding,whereas quantitative real-time PCR(qRT-PCR)is a powerful tool for gene expression analysis.The accuracy of qRT-PCR results largely depends on suitable reference genes.In this study,a transcriptome-wide identification of reference genes was conducted based on 447 transcriptome datasets,comprising 200 tissue samples,107 treated samples,and 140 samples from various moso bamboo(Phyllostachys edulis)forms.A total of 3444,1013,and 3962 stably expressed genes were identified from these three groups,respectively.Functional enrichment analysis revealed significant enrichment of these genes in pathways,including the spliceosome,proteasome,and oxidative phosphorylation.Eight candidate genes(ADPRE,GAPDH,TRX,TUBA,NRP,MBF,UNK,and CAM1),were selected for qRT-PCR validation using 112 samples.To assess their stability,five statistical methods(geNorm,NormFinder,BestKeeper,Delta-Ct,and RefFinder)were employed.The most suitable reference genes were ADPRE and GAPDH for different tissues,GAPDH and CAM1 for different treatments,and GAPDH and TRX for various moso bamboo forms.Overall,ADPRE and GAPDH were the most stable reference genes across all conditions,while TUBA and TRX were the least stable reference genes.In addition,a significant negative correlation was found between the Ct values of RT-qPCR and the log2TPM values from the transcriptome data(Ct=-1.534x+37.221),providing a potential method for estimating gene expression levels.The identified reference genes,particularly ADPRE and GAPDH,provide a robust set of references for gene expression studies in moso bamboo.展开更多
The in-flight calibration and performance of the Solar Disk Imager(SDI),which is a pivotal instrument of the LyαSolar Telescope onboard the Advanced Space-based Solar Observatory mission,suggested a much lower spatia...The in-flight calibration and performance of the Solar Disk Imager(SDI),which is a pivotal instrument of the LyαSolar Telescope onboard the Advanced Space-based Solar Observatory mission,suggested a much lower spatial resolution than expected.In this paper,we developed the SDI point-spread function(PSF)and Image Bivariate Optimization Algorithm(SPIBOA)to improve the quality of SDI images.The bivariate optimization method smartly combines deep learning with optical system modeling.Despite the lack of information about the real image taken by SDI and the optical system function,this algorithm effectively estimates the PSF of the SDI imaging system directly from a large sample of observational data.We use the estimated PSF to conduct deconvolution correction to observed SDI images,and the resulting images show that the spatial resolution after correction has increased by a factor of more than three with respect to the observed ones.Meanwhile,our method also significantly reduces the inherent noise in the observed SDI images.The SPIBOA has now been successfully integrated into the routine SDI data processing,providing important support for the scientific studies based on the data.The development and application of SPIBOA also paves new ways to identify astronomical telescope systems and enhance observational image quality.Some essential factors and precautions in applying the SPIBOA method are also discussed.展开更多
With the widespread adoption of lithium-ion batteries(LIBs),safety concerns associated with flammable organic elec-trolytes have become increasingly critical.Solid-state lithium batteries(SSLBs),with enhanced safety a...With the widespread adoption of lithium-ion batteries(LIBs),safety concerns associated with flammable organic elec-trolytes have become increasingly critical.Solid-state lithium batteries(SSLBs),with enhanced safety and higher energy density potential,are regarded as a promising next-generation energy storage technology.However,the practical appli-cation of solid-state electrolytes(SSEs)remains hindered by several challenges,including low Li^(+)ion conductivity,poor interfacial compatibility with electrodes,unfavorable mechanical properties and difficulties in scalable manufacturing.This review systematically examines recent progress in SSEs,including inorganic types(oxides,sulfides,halides),organic types(polymers,plastic crystals,poly(ionic liquids)(PILs)),and the emerging class of soft solid-state electrolytes(S3Es),especially those based on“rigid-flexible synergy”composites and“Li+-desolvation”mechanism using porous frameworks.Critical assessment reveals that single-component SSEs face inherent limitations that are difficult to be fully overcome through compositional and structural modification alone.In contrast,S3Es integrate the strength of complementary components to achieve a balanced and synergic enhancement in electrochemical properties(e.g.,ionic conductivity and stability window),mechanical integrity,and processability,showing great promise as next-generation SSEs.Furthermore,the application-ori-ented challenges and emerging trends in S3E research are outlined,aiming to provide strategic insights into future develop-ment of high-performance SSEs.展开更多
Ovarian cancer remains a leading cause of gynecological cancer mortality1,and patients with advanced stage ovarian cancer frequently develop malignant ascites that foster immunosuppressive microenvironments and therap...Ovarian cancer remains a leading cause of gynecological cancer mortality1,and patients with advanced stage ovarian cancer frequently develop malignant ascites that foster immunosuppressive microenvironments and therapeutic resistance2,3.Although ascites have traditionally been considered detrimental,we report a paradoxical role in which they enhance the cytotoxicity ofγδT cells—a unique T cell subset that can be allogenically transferred for cancer treatment4,5—toward ovarian cancer.展开更多
Background Biomarkers for predicting suicide risk in hospitalised patients with mental disorders have been understudied.Currently,suicide risk assessment tools based on objective indicators are limited in China.Aims T...Background Biomarkers for predicting suicide risk in hospitalised patients with mental disorders have been understudied.Currently,suicide risk assessment tools based on objective indicators are limited in China.Aims To examine the value of various biomarkers in suicide risk prediction and develop a risk assessment model with clinical utility using machine learning.Methods This cohort study analysed patients with major depressive disorder(MDD) who were hospitalised for the first time between January 2016 and March 2023 from four specialised mental health institutions.A total of 139 features,including biomarker measurements,medical orders and psychological scales,were assessed for analysis.Their suicide risk was evaluated by qualified nurses using Nurse s Global Assessment of Suicide Risk within 1 week after admission.Five machine learning models were trained with 10-fold cross-validation across three hospitals and were externally validated in an independent cohort.The primary performance was assessed using the area under the receiver operating characteristic curve(AUROC).The model was interpreted using the SHapley Additive exPlanations(SHAP) analysis.Biomarker importance was evaluated by comparing model performance with and without these biomarkers.Results Of 3143 patients with MDD included in this study,the incidence of high suicide risk within 1 week after first admission was 660(21.0%).Among all models,the Extreme Gradient Boosting can more effectively predict future risks,with an AUROC higher than 0.8(p<0.001).The SHAP values identified the 10 most important features,including five biomarkers.After clustering analysis,electroconvulsive therapy,physical restraint,β2-microglobulin and triiodothyronine were found to have heterogeneous effects on suicide risk.Combining biomarkers with other data from electronic health records significantly improved the performance and clinical utility of machine learning models based on demographics,diagnosis,laboratory tests,medical orders and psychological scales.Conclusions This study demonstrates the potential for a biomarker-based suicide risk assessment for patients with MDD,emphasising the interaction between biomarkers and therapeutic interventions.展开更多
基金supported by the Ministry of Science and Technology of the People’s Republic of China(2022YFD1800400).
文摘Staphylococcus aureus(S.aureus)is the third most common pathogen causing 10.6%of bacterial foodborne illnesses in China in 2021[1].Heat-stable Staphylococcal Enterotoxins(SEs)produced by S.aureus are the main contributors to staphylococcal food poisoning(SFP),causing vomiting,diarrhea,abdominal pain,headache,muscle cramps,and other acute gastroenteritis symptoms.More than 25 SEs and staphylococcal enterotoxin-like toxins(SE/s)have been described and which together comprise a superfamily of pyrogenic toxin superantigens(SAgs)[2].
基金supported by the National Key R&D Program of China(2021YFB3800300).
文摘High-nickel cathode,LiNi0.8Co0.1Mn0.1O_(2)(NCM811),and sulfide-solid electrolyte are a promising combination for all-solid-state lithium batteries(ASSLBs).However,this combination faces the issue of interfacial instability between the cathode and electrolyte.Given the surface alkalinity of NCM811,we propose a strategy to construct a solid-polymer-electrolyte(SPE)interphase on NCM811 surface by leveraging the surface alkaline residues to nucleophilically initiate the in-situ ring-opening polymerization of cyclic organic molecules.As a proof-of-concept,this study demonstrates that the ring-opening copolymerization of 1,3-dioxolane and maleic anhydride produces a homogeneous,compact,and conformal SPE layer on NCM811 surface to prevent the cathode from contact and reaction with Li6PS5Cl solid-state electrolyte.Consequently,the SPE-modified-NCM811 in ASSLBs exhibits high capacities of 193.5 mA h g^(-1) at 0.2 C,160.9 mA h g^(-1) at 2.0 C and 112.3 mA h g^(-1) at 10 C,and particularly,excellent long-term cycling stabilities over 11000 cycles with a 71.95%capacity retention at 10 C at 25℃,as well as a remained capacity of 117.9 mA h g^(-1) after 8000 cycles at 30 C at 60℃,showing a great application prospect.This study provides a new route for creating electrochemically and structurally stable solid-solid interfaces for ASSLBs.
基金sponsored by the National Natural Science Foundation of China(Nos.82027802,82101389,82274401,and 81971114)Beijing Nova Program(No.20230484286)+1 种基金Beijing Natural Science Foundation(7254366)the General Project of Science and Technology of Beijing Municipal Education Commission(No.KM202110025018).
文摘Objective Cerebral venous outflow disorders(CVOD)can impair cerebral perfusion and produce diverse,often debilitating symptoms,substantially reducing quality of life.Intermittent hypoxiahyperoxia training(IHHT)has demonstrated therapeutic potential across various pathologies and may represent a promising non-pharmacological approach for CVOD management.Methods Patients with imaging-confirmed CVOD underwent 14 IHHT sessions,each comprising four cycles of 10-minute hypoxia(11%O_(2))stimulation and 20-minute hyperoxia(38%O_(2)).Physiological parameters and adverse events were monitored throughout the intervention.Clinical scales,24-hour ambulatory blood pressure,blood tests,jugular ultrasound,and perfusion imaging were assessed preand post-intervention.Results No participants experienced intolerable discomfort or severe adverse events;vital signs remained within normal ranges.No significant changes were observed in 24-hour blood pressure,blood cell counts,lipid profiles,or other blood markers.Notably,60%of patients(n=12)reported overall symptom improvement on the Patient Global Impression of Change scale.Headache severity,as measured by the visual analogue scale,significantly decreased(6.33±1.22 vs.4.89±2.03,P=0.016).In patients with internal jugular vein(IJV)stenosis,significant improvements were observed in regional cerebral blood flow(including the insula,occipital lobe,internal capsule,and lenticula)and left J3-segment IJV flow volume(107.27[47.50,160.00]vs.140.83[55.00,210.00]mL/min,P=0.011).Conclusion The current IHHT protocol is safe and well-tolerated in patients with CVOD.IHHT may alleviate CVOD-related symptoms by improving oxygen saturation,cerebral perfusion,and venous outflow pattern,supporting its potential as a non-invasive therapeutic strategy.
基金supported by the National Science Fund for Distinguished Young Scholars(32025029)the Natural Science Foundation of China(32272364)Shanghai Engineering Research Center of food microbiology program(19DZ2281100).
文摘High-fat diets(HFD)disrupt lipid homeostasis,posing major public health risks.This study investigated the effect of ACA-DK,an insoluble dietary fiber derived from Antrodia camphorata,on HFD-induced dyslipidemia.We demonstrate that ACA-DK effectively alleviates HFD-induced dyslipidemia in mice,counteracting metabolic disorders,aberrant blood lipids,and weight gain.Mechanistically,ACA-DK modulates triglycerides,phosphatidylcholine,and phosphatidylethanolamine via glycerophospholipid/choline/linoleic acid metabolism pathways,while rectifying gut dysbiosis through selective reduction of pro-inflammatory genera(Oscillibacter,Ruminiclostridium,Negativibacillus,Ruminococcaceae and Helicobacter).Integrated analysis identifies Ruminococcaceae and Helicobacter as key mediators of ACA-DK's lipid-regulatory effects,establishing microbiota-directed therapy as a strategy against dyslipidemia.We thus propose ACA-DK as a microbiota-directed dual-target therapy,simultaneously reprogramming host lipid metabolism and gut ecology to combat diet-induced metabolic diseases.These findings suggest that ACA-DK is a promising prebiotic dietary fiber for ameliorating HFD-induced lipid metabolic disorders,with potential for future development into functional foods or supplements.
基金financially supported by the National Natural Science Foundation of China(No.22309138)the Hubei Province Natural Science Foundation(No.2024AFB815)+1 种基金the Postdoctoral Project of Hubei Province(No.2024HBBHXF056)the Department of Science and Technology of Hubei Province(No.2025CSA001)。
文摘As a high-energy-density primary battery,the Li-SOCl_(2) battery offers significant advantages over other primary systems,including a high operating voltage,wide temperature tolerance,and low self-discharge rate.However,owing to the irreversible electrochemical reaction mechanism,despite its energy density of up to 700 Wh kg^(-1) at the cell level,this battery system has remained confined to the category of primary batteries,thereby limiting its use in cyclic applications.Recent advances in electrochemical technologies have enabled the reversible redox chemistry of Li-SOCl_(2) batteries,transforming them into rechargeable systems.This article provides a systematic overview of the technical evolution,reaction mechanisms,safety constraints,engineering countermeasures,and electrochemical performance enhancement of Li-SOCl_(2) primary batteries since their introduction.First,the modification methods for the lithium anode,carbon cathode,electrolyte,and electrocatalyst in Li-SOCl_(2) primary batteries are discussed,along with their mechanisms for improving electrochemical performance.We then review the SOCl_(2)-based rechargeable Li metal batteries(LMBs)that evolved from the Li-SOCl_(2) primary batteries.With their higher energy density,these systems have become promising candidates to replace traditional Li-ion batteries(LIBs).This review focuses on the construction of key components,such as the positive electrode carrier,novel alloy anode,and electrolyte,as well as their impact on electrochemical performance in rechargeable batteries.Finally,we summarize current research progress and propose future directions for SOCl_(2)-based LMBs aimed at enhancing overall electrochemical performance.These insights provide a theoretical foundation for the development of next-generation high-energy-density energy-storage technologies.
基金support from National Key Research and Development Program of China(2024YFE0217100)the National Natural Science Foundation of China(21905006,22261160370,and 62105075)+7 种基金the Guangdong Provincial Science and Technology Plan(2021A0505110003)the Natural Science Foundation of Hunan Province,China(2023JJ50132)Guangxi Department of Science and Technology(2020GXNSFBA159049 and AD19110030)the Shenzhen Science and Technology Program(SGDX20230116093205009,JCYJ20220818100211025 and 2022378670)the Natural Science Foundation of Top Talent of SZTU(GDRC202343)financial support of Innovation and Technology Fund(#GHP/245/22SZ)The University Grant Council of the University of Hong Kong(grant No.2302101786)General Research Fund(grant Nos.17200823 and 17310624)from the Research Grants Council.
文摘Halide perovskites have emerged as promising materials for X-ray detection with exceptional properties and reasonable costs.Among them,heterostructures between 3D perovskites and low-dimensional perovskites attract intensive studies of their advantages due to low-level ion migration and decent stability.However,there is still a lack of methods to precisely construct heterostructures and a fundamental understanding of their structure-dependent optoelectronic properties.Herein,a gas-phase method was developed to grow 2D perovskites directly on 3D perovskites with nanoscale accuracy.In addition,the larger steric hindrance of organic layers of 2D perovskites was proved to enable slower ion migration,which resulted in reduced trap states and better stability.Based on MAPbBr_(3)single crystals with the(PA)_(2)PbBr_(4)capping layer,the X-ray detector achieved a sensitivity of 22,245μC Gy_(air)^(−1)cm^(−2),a response speed of 240μs,and a dark current drift of 1.17.10^(–4)nA cm^(−1)s^(−1)V^(−1),which were among the highest reported for state-of-the-art perovskite-based X-ray detectors.This study presents a precise synthesis method to construct perovskite-based heterostructures.It also brings an in-depth understanding of the relationship between lattice structures and properties,which are beneficial for advancing high-performance and cost-effective X-ray detectors.
基金supported by a grant from the French Society of Sleep Research and Medicine(to LS)The China Scholarship Council(to HL)The CNRS,INSERM,Claude Bernard University Lyon1(to LS)。
文摘The sleep-wake cycle stands as an integrative process essential for sustaining optimal brain function and,either directly or indirectly,overall body health,encompassing metabolic and cardiovascular well-being.Given the heightened metabolic activity of the brain,there exists a considerable demand for nutrients in comparison to other organs.Among these,the branched-chain amino acids,comprising leucine,isoleucine,and valine,display distinctive significance,from their contribution to protein structure to their involvement in overall metabolism,especially in cerebral processes.Among the first amino acids that are released into circulation post-food intake,branched-chain amino acids assume a pivotal role in the regulation of protein synthesis,modulating insulin secretion and the amino acid sensing pathway of target of rapamycin.Branched-chain amino acids are key players in influencing the brain's uptake of monoamine precursors,competing for a shared transporter.Beyond their involvement in protein synthesis,these amino acids contribute to the metabolic cycles ofγ-aminobutyric acid and glutamate,as well as energy metabolism.Notably,they impact GABAergic neurons and the excitation/inhibition balance.The rhythmicity of branchedchain amino acids in plasma concentrations,observed over a 24-hour cycle and conserved in rodent models,is under circadian clock control.The mechanisms underlying those rhythms and the physiological consequences of their disruption are not fully understood.Disturbed sleep,obesity,diabetes,and cardiovascular diseases can elevate branched-chain amino acid concentrations or modify their oscillatory dynamics.The mechanisms driving these effects are currently the focal point of ongoing research efforts,since normalizing branched-chain amino acid levels has the ability to alleviate the severity of these pathologies.In this context,the Drosophila model,though underutilized,holds promise in shedding new light on these mechanisms.Initial findings indicate its potential to introduce novel concepts,particularly in elucidating the intricate connections between the circadian clock,sleep/wake,and metabolism.Consequently,the use and transport of branched-chain amino acids emerge as critical components and orchestrators in the web of interactions across multiple organs throughout the sleep/wake cycle.They could represent one of the so far elusive mechanisms connecting sleep patterns to metabolic and cardiovascular health,paving the way for potential therapeutic interventions.
基金supports from National Key Research and Development Program of China(2021YFB2800703)Sichuan Province Science and Technology Support Program(25QNJJ2419)+1 种基金National Natural Science Foundation of China(U22A2008,12404484)Laoshan Laboratory Science and Technology Innovation Project(LSKJ202200801).
文摘Diatomic metasurfaces designed for interferometric mechanisms possess significant potential for the multidimensional manipulation of electromagnetic waves,including control over amplitude,phase,frequency,and polarization.Geometric phase profiles with spin-selective properties are commonly associated with wavefront modulation,allowing the implementation of conjugate strategies within orthogonal circularly polarized channels.Simultaneous control of these characteristics in a single-layered diatomic metasurface will be an apparent technological extension.Here,spin-selective modulation of terahertz(THz)beams is realized by assembling a pair of meta-atoms with birefringent effects.The distinct modulation functions arise from geometric phase profiles characterized by multiple rotational properties,which introduce independent parametric factors that elucidate their physical significance.By arranging the key parameters,the proposed design strategy can be employed to realize independent amplitude and phase manipulation.A series of THz metasurface samples with specific modulation functions are characterized,experimentally demonstrating the accuracy of on-demand manipulation.This research paves the way for all-silicon meta-optics that may have great potential in imaging,sensing and detection.
基金Natural Science Foundation of Shandong Province,No.ZR2020QH185Scientific Research Nurturing Fund of The First Affiliated Hospital of Shandong First Medical University&Shandong Provincial Qianfoshan Hospital,No.QYPY2020NSFC0803+2 种基金Guangxi Zhuang Autonomous Region Health Commission Scientific Research Project,No.Z-A20220415Guangxi Medical University Teacher Teaching Ability Development Project,No.2022JFA02Guangxi Medical University Undergraduate Education and Teaching Reform Project,No.2023Y05.
文摘BACKGROUND Colorectal cancer(CRC)is the third most common cancer globally,causing over 900000 deaths annually.Risk factors include aging,diet,obesity,sedentary lifestyle,tobacco use,genetic predisposition,and inflammatory bowel disease.Despite current treatments,survival rates for advanced CRC remain low,highlighting the need for better therapeutic strategies.AIM To evaluate both the clinical significance and the pathological implications of the Kinesin family member 14(KIF14)expression within CRC specimens.Additionally,this study aims to investigate the interaction between nitidine chloride(NC)and KIF14,considering their potential as therapeutic targets.METHODS The expression of the KIF14 protein in CRC was analyzed using immunohistochemical staining.The integration of multicenter high-throughput data facilitated the calculation of the standardized mean difference(SMD)for KIF14 mRNA levels.The assessment of clinical and pathological impact was enhanced by analyzing combined receiver operating characteristic curves,along with measures of sensitivity,specificity,and likelihood ratios.Additionally,clustered regularly interspaced short palindromic repeats knockout screening for cell growth and single-cell sequencing were employed to validate the significance of KIF14 expression in CRC.Survival analysis established the prognostic value of KIF14 in CRC.The molecular mechanism of NC against CRC was elucidated through whole-genome sequencing and enrichment analysis,and molecular docking was utilized to explore the targeting affinity between NC and KIF14.RESULTS KIF14 was highly expressed in 208 CRC patients.Data from 17 platforms involving 2436 CRC samples and 1320 noncancerous colorectal tissue controls indicated that KIF14 expression was significantly higher in CRC samples,with an SMD of 1.92(95%CI:1.49-2.35).The area under the curve was 0.94(95%CI:0.92-0.96),with a sensitivity of 0.85(95%CI:0.78-0.90)and a specificity of 0.90(95%CI:0.85-0.93).The positive and negative likelihood ratios were 8.38(95%CI:5.39-13.02)and 0.17(95%CI:0.11-0.26),respectively.At the single-cell level,significant overexpression of KIF14 was observed in CRC cells(P<0.001),with 35 CRC cell lines dependent on KIF14 for growth.The K-M plots demonstrated that KIF14 possesses prognostic value in CRC patients within the GSE71187 and GSE103679 datasets(P<0.05).Binding energy calculations indicated that KIF14 is a potential target for NC(binding energy:10.3 kcal/mol).CONCLUSION KIF14 promotes the growth of CRC cells and acts as an oncogenic factor,potentially serving as a therapeutic target for NC in the treatment of CRC.
基金supported by the National Natural Science Foundation of China (41804067, 42174090, 42250101, and 42250103)the Science Research Project of the Hebei Education Department (BJK2024107)+3 种基金the Hebei Natural Science Foundation (D2022403044)the Opening Fund of the Key Laboratory of Geological Survey and Evaluation of the Ministry of Education (GLAB2023ZR02)the MOST Special Fund from the State Key Laboratory of Geological Processes and Mineral Resources (MSFGPMR2022-4)the Excellent Young Scientist Fund of Hebei GEO University (YQ202403)。
文摘The lithospheric magnetic field is an important component of the geomagnetic field,and the oceanic lithosphere exhibits distinct characteristics.Because of its formation mechanisms,evolutionary history,and geomagnetic field polarity reversals,the oceanic lithosphere has significant remanent magnetization,which causes magnetic anomaly stripes parallel to the mid-ocean ridges.However,it is difficult to construct a high-resolution lithospheric magnetic field model in oceanic regions with relatively sparse data or no data.Using forward calculated lithospheric magnetic field data based on an oceanic remanent magnetization(ORM) model with physical and geological foundations as a supplement is a feasible approach.We first collect the latest available oceanic crust age grid,plate motion model,geomagnetic polarity timescale,and oceanic lithosphere thermal structure.Combining the assumptions that the paleo geomagnetic field is a geocentric axial dipole field and that the normal oceanic crust moves only in the horizontal direction,we construct a vertically integrated ORM model of the normal oceanic crust with a known age,including the intensity,inclination,and declination.Both the ORM model and the global induced magnetization(GIM) model are then scaled from two aspects between their forward calculated results and the lithospheric magnetic field model LCS-1.One aspect is the difference in their spherical harmonic power spectra,and the other is the misfit between the grid data over the oceans.We last compare the forward calculated lithospheric magnetic anomaly from the scaled ORM and GIM models with the Macao Science Satellite-1(MSS-1) observed data.The comparison results show that the magnetic anomalies over the normal oceanic crust regions at satellite altitude are mainly contributed by the high-intensity remanent magnetization corresponding to the Cretaceous magnetic quiet period.In these regions,the predicted and observed anomalies show good consistency in spatial distribution,whereas their amplitude differences vary across regions.This result suggests that regional ORM construction should be attempted in future work to address these amplitude discrepancies.
基金supported by funding from Jiangxi Agricultural University(9232308314 to Huibin Han)Science and Technology Department of Jiangxi Province(20223BCJ25037 to Huibin Han and 20202ACB215002 to Shuaiying Peng)+1 种基金the Outstanding Youth Fund Project of the Natural Science Foundation of Jiangxi Province,China(20242BAB23066 to Yong Zhou)National Natural Science Foundation of China(32060047 to Jianping Liu,32160739 to Youxin Yang,32460797 to Yong Zhou and 32460081 to Huibin Han)。
文摘Small signaling peptides,generally comprising fewer than 100 amino acids,act as crucial signaling molecules in cell-to-cell communications.Upon perception by their membrane-localized corresponding receptors or co-receptors,these peptide-receptor modules then(de)activate either long-distance or local signaling pathways,thereby orchestrating developmental and adaptive responses via(post)transcriptional,(post)translational,and epigenetic regulations.The physiological functions of small signaling peptides are implicated in a multitude of developmental processes and adaptive responses,including but not limited to,shoot and root morphogenesis,organ abscission,nodulation,Casparian strip formation,pollen development,taproot growth,and various abiotic stress responses such as aluminum,cadmium,drought,cold,and salinity.Additionally,they play a critical role in response to pathogenic invasions.These small signaling peptides also modulate significant agronomic and horticultural traits,such as fruit size,maize kernel development,fiber elongation,and rice awn formation.Here,we underscore the roles of several small signaling peptide families such as CLE,RALF,EPFL,mi PEP,CEP,IDA/IDL,and PSK in regulating these biological processes.These novel insights will deepen our current understanding of small signaling peptides,and offer innovative strategies for genetic breeding stress-tolerant crops and horticultural plants,contributing to establish sustainable agricultural systems.
基金supported by the National Natural Science Foundation of China(51708188).
文摘Semantic segmentation of concrete bridge defect images frequently encounters challenges due to insufficient precision and the limited computational capabilities ofmobile devices,thereby considerably affecting the reliability of bridge defect monitoring and health assessment.To tackle these issues,a concrete defects dataset(including spalling,crack,and exposed steel rebar)was curated and multiple semantic segmentation models were developed.In these models,a deep convolutional network or a lightweight convolutional network were employed as the backbone feature extraction networks,with different loss functions configured and various attention mechanism modules introduced for conducting multi-angle comparative research.The comparison of results indicates that utilizing VGG16 as the backbone network of U-Net for semantic segmentation of multi-class concrete defects images resulted in the highest recognition accuracy,achieving a Mean Intersection over Union(MIoU)of 80.37%and a Mean Pixel Accuracy(MPA)of 90.03%.The optimal combination of loss functions was found to be Focal loss and Dice loss.The lightweight convolutional network Mobile NetV2-DeeplabV3 slightly reduced recognition accuracy but significantly decreased the number of parameters,resulting in a faster detection speed of 71.87 frames/s,making it suitable for real-time defect detection.After integrating the SE(Squeeze-and-Excitation),CBAM(Convolutional Block Attention Module),and Coordinate Attention(CA)modules,both VGG16-U-Net and MobileNetV2-DeeplabV3 achieved improved recognition accuracy.Among them,the CAmodule(Coordinate Attention)effectively guides the model to accurately identify subtle concrete defects.The improved VGG16-U-Net can identify previously the new untrained concrete defect images in the concrete structural health monitoring(SHM)system,and the recognition accuracy can meet the demand for intelligent defect image recognition for structural health monitoring of concrete structures.
基金supported by the National Natural Science Foundation of China(Grant Nos.U22A20187,52171007,52371111,and 52371177).
文摘Precipitation via thermal treatments is among the most effective approaches to strengthening and is widely applied in the Al industry. Thermal treatments combined with deformation are capable of finely regulating the process of precipitation and distribution of precipitates. Deformation-induced defects exert significant impacts on the precipitation and already present precipitates, which however is often overlooked. In this study, the interactions between deformation and precipitation/precipitates, and their impacts on mechanical properties were systematically investigated in the solution-treated (ST) Al-0.61Mg-1.17Si-0.5Cu (wt.%), processed by multi-pass equal channel angular pressing (ECAP) and thermal treatments. Novel deformation-mediated cyclic evolution of precipitates is discovered: ST→ (1,2 passes: deformation induced precipitation) Guinier Preston (GP) zones→ (An250/30) Q’ and L phases→ (3-pass: deformation induced fragmentation/resolution) spherical precipitates→ (4-pass: deformation induced further fragmentation/resolution) GP zones. On this basis, we extend the quasi-binary phase diagram of Al-Mg_(2)Si along deformation as the third dimension and construct an innovative defect phase diagram for the Al-Mg-Si-based system. To testify to the effect of deformation-mediated cyclic evolution of precipitation/precipitates on the optimum mechanical properties, peak-aging treatments were performed in samples of ST and 3-pass states. Based on the microscopic characterizations, a distinctive mechanism of peak-aging strengthening is proposed. Notably in the 3-pass ECAPed and peak-aged sample the dominant strengthening phases become the L precipitates that thrived from the segmented and spherical L phases, rather than β’’ precipitates in the solely peak-aged ST sample. Our work provides a feasible example for exploring the combined processing technique of multi-step deformation and thermal treatments, to optimize the mechanical properties.
基金supports of the National Natural Science Foundation of China(Nos.12032008,12102080)the Fundamental Research Funds for the Central Universities,China(No.DUT23RC(3)038)are much appreciated。
文摘Fatigue analysis of engine turbine blade is an essential issue.Due to various uncertainties during the manufacture and operation,the fatigue damage and life of turbine blade present randomness.In this study,the randomness of structural parameters,working condition and vibration environment are considered for fatigue life predication and reliability assessment.First,the lowcycle fatigue problem is modelled as stochastic static system with random parameters,while the high-cycle fatigue problem is considered as stochastic dynamic system under random excitations.Then,to deal with the two failure modes,the novel Direct Probability Integral Method(DPIM)is proposed,which is efficient and accurate for solving stochastic static and dynamic systems.The probability density functions of accumulated damage and fatigue life of turbine blade for low-cycle and high-cycle fatigue problems are achieved,respectively.Furthermore,the time–frequency hybrid method is advanced to enhance the computational efficiency for governing equation of system.Finally,the results of typical examples demonstrate high accuracy and efficiency of the proposed method by comparison with Monte Carlo simulation and other methods.It is indicated that the DPIM is a unified method for predication of random fatigue life for low-cycle and highcycle fatigue problems.The rotational speed,density,fatigue strength coefficient,and fatigue plasticity index have a high sensitivity to fatigue reliability of engine turbine blade.
基金supported by the Key Technologies R&D Program of Xiamen(No.3502Z20231057)Industry Leading Key Projects of Fujian Province(No.2022H0057)+2 种基金the National Natural Science Foundation of China(No.21975212)High-Level Talent Start-Up Foundation of Xiamen Institute of Technology for financial support(No.YKJ23017R)Graduate Science and Technology Innovation Program of Xiamen University of Technology(No.YKJCX2023194).
文摘LiMnxFe1-xPO_(4) is a promising cathode candidate due to its high security and the availability of a high 4.1 V operating voltage and high energy density.However,the poor electrochemical kinetics and structural instability currently hinder its broader application.Herein,inspired by the hydrogen-bonded cross-linking and steric hindrance effect between short-chain polymer molecules(polyethylene glycol-400,PEG-400),the pomegranate-type LiMn_(0.5)Fe_(0.5)PO_(4)-0.5@C(P-LMFP@C)cathode materials with 3D ion/electron dual-conductive network structure were constructed through ball mill-assisted spray-drying method.The intermolecular effects of PEG-400 promote the spheroidization and uniform PEG coating of LMFP precursor,which prevents agglomeration during sintering.The 3D ion/electron dual-conductive network structure in P-LMFP@C accelerates the Li^(+)transport kinetics,improving the rate performance and cycling stability.As a result,the designed P-LMFP@C has remarkable electrochemical behavior,boasting excellent capacity retention(98%after 100 cycles at the 1C rate)and rate capability(91 mAh·g^(-1)at 20C).Such strategy introduces a novel window for designing high-performance olivine cathodes and offers compatibility with a range of energy storage materials for diverse applications.
基金supported by the National Key Research and Development Program of China(Grant No.2021YFD2200502)the National Natural Science Foundation of China(Grant No.31971736).
文摘Bamboo was one of the first plants to be cultivated in China and is widely used in industry and daily life.The study of gene function has become an important part of bamboo breeding,whereas quantitative real-time PCR(qRT-PCR)is a powerful tool for gene expression analysis.The accuracy of qRT-PCR results largely depends on suitable reference genes.In this study,a transcriptome-wide identification of reference genes was conducted based on 447 transcriptome datasets,comprising 200 tissue samples,107 treated samples,and 140 samples from various moso bamboo(Phyllostachys edulis)forms.A total of 3444,1013,and 3962 stably expressed genes were identified from these three groups,respectively.Functional enrichment analysis revealed significant enrichment of these genes in pathways,including the spliceosome,proteasome,and oxidative phosphorylation.Eight candidate genes(ADPRE,GAPDH,TRX,TUBA,NRP,MBF,UNK,and CAM1),were selected for qRT-PCR validation using 112 samples.To assess their stability,five statistical methods(geNorm,NormFinder,BestKeeper,Delta-Ct,and RefFinder)were employed.The most suitable reference genes were ADPRE and GAPDH for different tissues,GAPDH and CAM1 for different treatments,and GAPDH and TRX for various moso bamboo forms.Overall,ADPRE and GAPDH were the most stable reference genes across all conditions,while TUBA and TRX were the least stable reference genes.In addition,a significant negative correlation was found between the Ct values of RT-qPCR and the log2TPM values from the transcriptome data(Ct=-1.534x+37.221),providing a potential method for estimating gene expression levels.The identified reference genes,particularly ADPRE and GAPDH,provide a robust set of references for gene expression studies in moso bamboo.
基金supported by the National Natural Science Foundation of China(NSFC)under grant No.12233012,the Strategic Priority Research Program of the Chinese Academy of Sciences,grant No.XDB0560102the National Key R&D Program of China 2022YFF0503003(2022YFF0503000)。
文摘The in-flight calibration and performance of the Solar Disk Imager(SDI),which is a pivotal instrument of the LyαSolar Telescope onboard the Advanced Space-based Solar Observatory mission,suggested a much lower spatial resolution than expected.In this paper,we developed the SDI point-spread function(PSF)and Image Bivariate Optimization Algorithm(SPIBOA)to improve the quality of SDI images.The bivariate optimization method smartly combines deep learning with optical system modeling.Despite the lack of information about the real image taken by SDI and the optical system function,this algorithm effectively estimates the PSF of the SDI imaging system directly from a large sample of observational data.We use the estimated PSF to conduct deconvolution correction to observed SDI images,and the resulting images show that the spatial resolution after correction has increased by a factor of more than three with respect to the observed ones.Meanwhile,our method also significantly reduces the inherent noise in the observed SDI images.The SPIBOA has now been successfully integrated into the routine SDI data processing,providing important support for the scientific studies based on the data.The development and application of SPIBOA also paves new ways to identify astronomical telescope systems and enhance observational image quality.Some essential factors and precautions in applying the SPIBOA method are also discussed.
基金the financial support from the National Key R&D Program of China (Grant No. 2021YFB3800300)the supports from National Key R&D Program of China (Grant No. 2022YFB3807700)+6 种基金the National Natural Science Foundation of China (Grant No. U20A20248)the supports from the National Natural Science Foundation of China (Grant Nos. W2441017, 22409103)the “Innovation Yongjiang 2035” Key R&D Program (Grant Nos. 2024Z040, 2025Z063)the National Key R&D Program of China (Grant No. 2023YFC2812700)the Natural Science Foundation of Shandong Province (Grant No. ZR2024YQ008)funding supports from the National Key R&D Program of China (Grant No. 2021YFB3800300)science and technology innovation fund for emission peak and carbon neutrality of Jiangsu province (Grant Nos. BK20220034, BK20231512)。
文摘With the widespread adoption of lithium-ion batteries(LIBs),safety concerns associated with flammable organic elec-trolytes have become increasingly critical.Solid-state lithium batteries(SSLBs),with enhanced safety and higher energy density potential,are regarded as a promising next-generation energy storage technology.However,the practical appli-cation of solid-state electrolytes(SSEs)remains hindered by several challenges,including low Li^(+)ion conductivity,poor interfacial compatibility with electrodes,unfavorable mechanical properties and difficulties in scalable manufacturing.This review systematically examines recent progress in SSEs,including inorganic types(oxides,sulfides,halides),organic types(polymers,plastic crystals,poly(ionic liquids)(PILs)),and the emerging class of soft solid-state electrolytes(S3Es),especially those based on“rigid-flexible synergy”composites and“Li+-desolvation”mechanism using porous frameworks.Critical assessment reveals that single-component SSEs face inherent limitations that are difficult to be fully overcome through compositional and structural modification alone.In contrast,S3Es integrate the strength of complementary components to achieve a balanced and synergic enhancement in electrochemical properties(e.g.,ionic conductivity and stability window),mechanical integrity,and processability,showing great promise as next-generation SSEs.Furthermore,the application-ori-ented challenges and emerging trends in S3E research are outlined,aiming to provide strategic insights into future develop-ment of high-performance SSEs.
基金supported by the National Natural Science Foundation of China(Grant No.82274034)the Peking University Medicine plus X Pilot Program-Platform Construction Project(Grant No.2024YXXLHPT004).
文摘Ovarian cancer remains a leading cause of gynecological cancer mortality1,and patients with advanced stage ovarian cancer frequently develop malignant ascites that foster immunosuppressive microenvironments and therapeutic resistance2,3.Although ascites have traditionally been considered detrimental,we report a paradoxical role in which they enhance the cytotoxicity ofγδT cells—a unique T cell subset that can be allogenically transferred for cancer treatment4,5—toward ovarian cancer.
基金supported by projects from Shanghai Putuo District Municipal Health Committee(ptkwws202413)Shanghai Municipal Health Commission(202340018)+2 种基金Shanghai Hospital Development Center(Data Sharing and Emulation of Clinical Trials,CCS-DASET:SHDC2024CRI008)Shanghai Changning District Municipal Commission of Health(CNWJXY026)School of Innovation and Entrepreneurship,Tongji University(S202310247388,X2024085 and X2024048).
文摘Background Biomarkers for predicting suicide risk in hospitalised patients with mental disorders have been understudied.Currently,suicide risk assessment tools based on objective indicators are limited in China.Aims To examine the value of various biomarkers in suicide risk prediction and develop a risk assessment model with clinical utility using machine learning.Methods This cohort study analysed patients with major depressive disorder(MDD) who were hospitalised for the first time between January 2016 and March 2023 from four specialised mental health institutions.A total of 139 features,including biomarker measurements,medical orders and psychological scales,were assessed for analysis.Their suicide risk was evaluated by qualified nurses using Nurse s Global Assessment of Suicide Risk within 1 week after admission.Five machine learning models were trained with 10-fold cross-validation across three hospitals and were externally validated in an independent cohort.The primary performance was assessed using the area under the receiver operating characteristic curve(AUROC).The model was interpreted using the SHapley Additive exPlanations(SHAP) analysis.Biomarker importance was evaluated by comparing model performance with and without these biomarkers.Results Of 3143 patients with MDD included in this study,the incidence of high suicide risk within 1 week after first admission was 660(21.0%).Among all models,the Extreme Gradient Boosting can more effectively predict future risks,with an AUROC higher than 0.8(p<0.001).The SHAP values identified the 10 most important features,including five biomarkers.After clustering analysis,electroconvulsive therapy,physical restraint,β2-microglobulin and triiodothyronine were found to have heterogeneous effects on suicide risk.Combining biomarkers with other data from electronic health records significantly improved the performance and clinical utility of machine learning models based on demographics,diagnosis,laboratory tests,medical orders and psychological scales.Conclusions This study demonstrates the potential for a biomarker-based suicide risk assessment for patients with MDD,emphasising the interaction between biomarkers and therapeutic interventions.
