Surface-enhanced Raman scattering(SERS)spectroscopy based on transition metal oxide(TMO)substrates has emerged as a frontier research area,offering distinctive advantages in chemical stability,cost-effectiveness,and t...Surface-enhanced Raman scattering(SERS)spectroscopy based on transition metal oxide(TMO)substrates has emerged as a frontier research area,offering distinctive advantages in chemical stability,cost-effectiveness,and tunable optoelectronic properties compared to conventional noble metal substrates.This review systematically clarifies the dual enhancement mechanisms of TMO-based SERS including charge transfer(CT)resonance at the molecule-semiconductor interface and electromagnetic field amplification induced by localized surface plasmon resonance(LSPR);the two work synergistically to achieve signal amplification.In practical applications,TMO enable multi-scenario analysis via the controllable defect engineering-interfacial CT synergistic mechanism in SERS technology.These scenarios include ultrasensitive detection of biomarkers,dynamic tracking of cellular metabolism,real-time monitoring of environmental pollutants,and mechanistic analysis of catalytic reaction pathways.Nevertheless,critical challenges persist,particularly regarding quantitative reproducibility and long-term stability under operational conditions.This review focuses on discussing the SERS enhancement mecha-nisms of TMO,summarizing their diverse analytical applications across multiple fields,and briefly addressing existing limitations,aiming to provide insights for further advancement in TMO-based SERS research.展开更多
This study presents an analytical formulation for evaluating the nonlinear equilibrium equations and axial buckling behavior of functionally graded(FG)auxetic cylinders subjected to combined axial and radial loading.T...This study presents an analytical formulation for evaluating the nonlinear equilibrium equations and axial buckling behavior of functionally graded(FG)auxetic cylinders subjected to combined axial and radial loading.The FG auxetic cylinder includes two inner and outer FG layers and one re-entrant honeycomb core layer.The mechanical properties of the FG layers vary through the thickness,and the presented formulation applies to any FG layers with power-law volume fractions.The governing equations are derived using the first-order shear deformation theory(FSDT)and von Kármán nonlinear relations.Nonlinear equilibrium equations are solved using the perturbation technique,while a closed-form solution is obtained for the stability equations with variable coefficients.A detailed parametric study explores the effects of FG layer properties,geometric features,and re-entrant honeycomb core parameters on both deformation and buckling performance.Results show that FG layers significantly impact the structural response.Radial displacement is highly sensitive to radial loading,and positive radial pressure improves buckling resistance.The influence of honeycomb geometry is limited.These insights offer valuable guidance for the optimal design of FG auxetic cylinders in structural and multifunctional applications.展开更多
Sandwich functionally graded(FG)auxetic beams are extensively utilized in aerospace,automotive,and biomedical industries due to their excellent strength-toweight ratio,impact resistance,and tunable mechanical properti...Sandwich functionally graded(FG)auxetic beams are extensively utilized in aerospace,automotive,and biomedical industries due to their excellent strength-toweight ratio,impact resistance,and tunable mechanical properties.The integration of FG materials with auxetic structures enhances their adaptability in advanced engineering applications.However,understanding their dynamic behavior under external excitations is essential for optimal design and structural reliability.Nonlinear interactions in such structures pose significant challenges in vibration analysis,necessitating robust analytical methods.This study presents a closed-form solution for the nonlinear forced vibration analysis of sandwich FG auxetic beams,offering an accurate and efficient method for predicting their dynamic response.The beam consists of two FG face sheets with material properties varying through the thickness and a re-entrant honeycomb auxetic core with an adjustable Poisson's ratio.The governing nonlinear equations of motion are derived using the first-order shear deformation theory(FSDT),the modified Gibson model,and the von Kármán relations,formulated through Hamilton's principle.A closed-form solution is obtained via the Galerkin method and multiple-scale technique.The results demonstrate that FG layers enable control of the overweight and dynamic response amplitude,with positive power law indexes reducing weight.Comparisons with finite element results confirm the accuracy of the proposed formulation.展开更多
This work begins by introducing the groundbreaking concept of log-p-analytic functions.Following this introduction,we proceed to delineate four distinct formulations of Landau-type theorems,specifically crafted for th...This work begins by introducing the groundbreaking concept of log-p-analytic functions.Following this introduction,we proceed to delineate four distinct formulations of Landau-type theorems,specifically crafted for the domain of poly-analytic functions.Among these,two theorems are distinguished by their exactitude,and a third theorem offers a refinement to the existing work of Abdulhadi and Hajj.Concluding the paper,we present four specialized versions of Landau-type theorems applicable to a subset of bounded log-p-analytic functions,resulting in the derivation of two precise outcomes.展开更多
By using a certain hybrid-type convolution operator,we first introduce a new subclass of normalized analytic functions in the open unit disk.For members of this analytic function class,we then derive several propertie...By using a certain hybrid-type convolution operator,we first introduce a new subclass of normalized analytic functions in the open unit disk.For members of this analytic function class,we then derive several properties and characteristics including(for example)the modified Hadamard products,Holder's inequalities and convolution properties as well as some closure properties under a general family of integral transforms.展开更多
Increasing greenhouse gas(GHG)emissions,such as methane(CH4),nitrous oxide(N2O),and carbon dioxide(CO2),from agricultural practices and land use have increased concerns about global warming.Accurate quantific...Increasing greenhouse gas(GHG)emissions,such as methane(CH4),nitrous oxide(N2O),and carbon dioxide(CO2),from agricultural practices and land use have increased concerns about global warming.Accurate quantification of the GHG using gas sensors is essential for effective management and sustainable agricultural practices.The objective of this study was to make an analytical comparison of the performance of various sensing materials for CH4-,N2O-,and CO2-based sensors in terms of sensitivity,response ratio,response time,and recovery time to establish an efficiency detection level of the GHG emissions.A literature review of 95 different studies showed that palladium-tin dioxide(Pd-SnO2)nano particles,indium oxide(In2O3)nano wires,and gold-lanthanum oxide-doped tin dioxide(AuLa2O3/SnO2)nanofibers had better performance compared to other sensing materials in CH4-,N2O-,and CO2-based sensors,respectively.The findings from reviewed studies revealed that nanoporous structures,nano wires,and nano fibers had faster response and recovery compared to conventional materials due to their big specific surface area(SSA).The designed ternary hybrid structure of sensing materials was more effective for CO2gas detection than the double hybrid structure,unlike CH4-and N2O-based sensors.However,constructive suggestions for researchers were discussed in the conclusion based on the current research status and challenges to improve the performance of GHG sensors.展开更多
BACKGROUND Schizophrenia presents complex challenges in older patients due to cognitive and social decline.Existing drug treatments offer limited benefits and pose risks,while aerobic exercise shows promise as a nonin...BACKGROUND Schizophrenia presents complex challenges in older patients due to cognitive and social decline.Existing drug treatments offer limited benefits and pose risks,while aerobic exercise shows promise as a noninvasive intervention whose impact remains underexplored.AIM To investigate the effects of aerobic exercise on cognitive and social function in older patients with schizophrenia.METHODS A retrospective study was conducted in 158 older patients with schizophrenia treated at The First Affiliated Hospital of Chongqing Medical and Pharmaceutical College(June 2023 and December 2024).The patients were divided into an observation group(n=86),which received 3 months of aerobic rehabilitation alongside routine treatment,and a control group(n=72),which received routine treatment alone.Cognitive function was assessed using the Measurement and Treatment Research to Improve Cognition in Schizophrenia Consensus Cognitive Battery,social function using the Inpatient Psychiatric Rehabilitation Outcome Scale(IPROS),and psychotic symptoms using the Positive and Negative Syndrome Scale.RESULTS Post-treatment,Positive and Negative Syndrome Scale total scores were lower in the observation group than in the controls(P<0.001),with significant improvements in positive,negative,and general symptoms.Measurement and Treatment Research to Improve Cognition in Schizophrenia Consensus Cognitive Battery domain scores were improved in processing speed,working memory,verbal/visual learning,and executive function(all P<0.05).IPROS total scores were decreased(P<0.001),indicating better social functioning.Longer exercise duration correlated with greater cognitive gains and lower social function deficits.Body mass index declined(P<0.001),and adverse events were mild and transient(9.3%).Multivariate linear regression confirmed that aerobic exercise was independently associated with a significant reduction in IPROS scores(Adjustedβ=-4.57,95%confidence intervals:-6.08 to-3.05,P<0.001).CONCLUSION Aerobic exercise effectively improves cognitive function,social function,and psychotic symptoms in older patients with schizophrenia,is safe,and serves as a valuable adjunctive intervention.展开更多
Graphitic carbon nitride(g-CN)stands out as the most promising candidate for solar energy conversion owing to its easy preparation,metal-free nature,flexible molecular structure,moderate bandgap,and excellent thermal/...Graphitic carbon nitride(g-CN)stands out as the most promising candidate for solar energy conversion owing to its easy preparation,metal-free nature,flexible molecular structure,moderate bandgap,and excellent thermal/chemical stability.To enhance the performance of intrinsic g-CN,a supramolecular self-assembly strategy has been proposed to regulate the molecular structure of supramolecular precursors through non-covalent interactions across molecular building blocks,thereby optimizing the electronic structure of g-CN.This review provides a comprehensive overview of the recent progress in supramolecular self-assembly-derived graphitic carbon nitride(SM-CN)from both experimental and theoretical computational research in synthesis strategies,including synthesis methods and influencing factors,providing a theoretical foundation for the design of supramolecular assembly.It also discusses modification strategies,such as internal modification of the conjugated plane,interlayer optimization,and construction of heterointerfaces to improve the electronic structure of SM-CN owing to its unique layered structure.This review further summarizes the applications of SM-CN in environment and energy,including wastewater treatment,sterilization and disinfection/air purification,water splitting,H2O2production,organic synthesis/biomass conversion,CO2reduction,photocatalytic coupling technology.Finally,perspectives and outlooks for the future development of SM-CN aim to inspire further innovation in the design and construction of high-performance SM-CN for broader applications.展开更多
Chronic obstructive pulmonary disease(COPD),a disease responsible for early mortality worldwide,is well accepted to be associated with periodontitis epidemiologically.Although both of the diseases are the multi-microb...Chronic obstructive pulmonary disease(COPD),a disease responsible for early mortality worldwide,is well accepted to be associated with periodontitis epidemiologically.Although both of the diseases are the multi-microbial inflammatory disease,the precise underlying mechanisms by which periodontitis influences the progression of COPD remains largely unknown.Here,we established COPD accompanied with periodontitis mouse models and observed the pronounced progress in pulmonary symptoms and histopathology,cha racterized by poorer respiratory function,thicke ned bronchial walls,and increased neutrophils infiltration in lung tissue.Mechanistically,periodontitis pathogen Porphyromonas gingivalis(P.gingivalis)relocated in the lung through the respiratory tract and LPS from P.gingivalis promoted the secretion of chemokines CXCL2 and G-CSF of alveolar epithelial cells through NF-κB and p38 MAPK pathways to recruit neutrophils.Furthermore,exposure to P.gingivalis of infiltrated neutrophils released matrix metallopeptidase-8(MMP-8)and neutrophil elastase(NE),which aggravated airway inflammation and tissue damage.These findings indicated that periodontitis could exacerbate COPD via its pathogen P.gingivalis,which translocated in the lung and stimulated neutrophil chemotaxis and activation in the lung.展开更多
Functional near-infrared spectroscopy quantifies cerebral hemodynamic signals by capturing oxygenation-dependent changes in hemoglobin in a noninvasive,portable,and ecologically valid manner,providing a unique insight...Functional near-infrared spectroscopy quantifies cerebral hemodynamic signals by capturing oxygenation-dependent changes in hemoglobin in a noninvasive,portable,and ecologically valid manner,providing a unique insight into neurovascular coupling.However,functional imaging biomarkers with high ecological validity for neurological disorders such as stroke,Parkinson's disease,dementia,amyotrophic lateral sclerosis,epilepsy,spinal cord injury,and traumatic brain injury are lacking,limiting the mechanistic understanding,treatment evaluations,and individualized interventions.The aim of this review is to systematically summarize evidence from the past decade on the use of functional near-infrared spectroscopy under the aforementioned conditions,synthesize its value for revealing neural mechanisms and assessing therapeutic responses,and identify current technical bottlenecks and future directions for advancement.Collectively,the findings demonstrate that functional near-infrared spectroscopy possesses substantial and far-reaching potential for uncovering the neural mechanisms underlying disease and for evaluating treatment-induced changes in brain function.Equipped with wearable probes,functional near-infrared spectroscopy can continuously and noninvasively monitor brain activity in naturalistic environments for extended periods,thereby overcoming the limitations of conventional imaging modalities that can only acquire data under restricted settings.This capability can furnish unprecedented objective neuroimaging evidence for neuroregenerative therapy research.Moreover,the portability of functional near-infrared spectroscopy allows it to be integrated into neurofeedback training systems:hemoglobin signals can be fed back to participants within milliseconds,enabling targeted,individualized,closed-loop modulation of brain function and considerably expanding the scope of hemodynamicsbased neurofeedback.When combined with other brain function assays(such as electroencephalography)and intervention techniques(such as transcranial magnetic stimulation and transcranial direct current stimulation),functional near-infrared spectroscopy also supplies high-temporal-resolution hemodynamic information,laying a critical foundation for the construction of high-precision noninvasive brain–computer interfaces,real-time cognitivestate decoding,and adaptive neuromodulation.Admittedly,almost all existing functional near-infrared spectroscopy studies are still observational and have small sample sizes,short follow-ups,and insufficient controls—shortcomings that together produce low-grade evidence.Therefore,there is still a significant gap before clinical translation can be achieved.Technically,the limited penetration depth of functional near-infrared spectroscopy restricts sampling to the superficial cortex,leaving deep nuclei largely unreachable.In addition,no consensus exists across devices regarding optode layout,light-source choice,motion-artifact correction,or analytical pipelines,creating pronounced heterogeneity that undermines reproducibility.With artificial intelligence and big data analytics advancing rapidly,functional near-infrared spectroscopy embedded within multimodal fusion frameworks is now poised to systematically map aberrant brain function signatures of neurological disorders,identify pathological regions suitable for targeted intervention,and provide real-time assessments of functional changes produced by neuroregenerative therapies.展开更多
A growing global population and the increasing prevalence of diet-related health issues such as“hidden hunger”,obesity,hypertension,and diabetes necessitate a fundamental rethinking of crop design and breeding.Synth...A growing global population and the increasing prevalence of diet-related health issues such as“hidden hunger”,obesity,hypertension,and diabetes necessitate a fundamental rethinking of crop design and breeding.Synthetic metabolic engineering offers a method to modify and redesign metabolic pathways to increase the nutritional value of crops.We summarize recent advances in the biofortification of key nutrients including provitamin A,vitamin C,vitamin B9,iron,zinc,anthocyanins,flavonoids,and unsaturated fatty acids.We discuss the potential of multi-gene stacking,gene editing,enzyme engineering,and artificial intelligence in synthetic metabolic engineering.We propose future research directions and potential solutions centered on leveraging AI-driven systems biology,precision gene editing,enzyme engineering,agrobacterium-mediated genotype-independent transformation,and modular metabolic engineering strategies to develop next-generation nutritionally enhanced super crops and transform global food systems.展开更多
Strong seismic excitation and fault dislocation are likely to occur simultaneously in high-intensity seismic zones,causing severe damage to tunnels crossing active fault zones.This paper aims to develop a novel analyt...Strong seismic excitation and fault dislocation are likely to occur simultaneously in high-intensity seismic zones,causing severe damage to tunnels crossing active fault zones.This paper aims to develop a novel analytical solution to determine the longitudinal mechanical responses of tunnels subjected to the combined effects of seismic waves and strike-slip faulting.Adopting the elastic springbeam model,the seismic waves are modelled as shear horizontal(SH)waves and the fault dislocation follows an S-shaped pattern;the superposition principle for free-fielddisplacements caused by both effects is assumed.In addition,the transmission and reflectionof seismic waves at the fault-rock geological interface and the tangential contact conditions at the tunnel-rock interface are considered.The analytical model is validated against numerical simulations,confirmingits accuracy in calculating tunnel responses.Moreover,a parametric study is conducted to evaluate the impact of key factors,including fault displacement,fault zone width,fault dip angle,earthquake frequency,rock conditions,tunnel lining stiffness,and tangential contact conditions,on tunnel responses.Compared with each effect alone,the combined effects of seismic waves and strike-slip faulting significantlychange the tunnel deformation and internal forces,leading to increased tunnel responses,especially within the fault zone and near the fault-rock interfaces.Depending on specificparameters,tunnel responses can be classifiedinto seismic-dominated,faulting-dominated,and seismic-faulting coupled responses on the basis of the relative contributions of each effect.The proposed analytical solution can be applied to quickly predict the longitudinal mechanical behaviour of tunnels under such combined effects in engineering applications.展开更多
Understanding the properties of warm dense hydrogen is of key importance for the modeling of compact astrophysical objects and to understand and further optimize inertial confinement fusion applications.The workhorse ...Understanding the properties of warm dense hydrogen is of key importance for the modeling of compact astrophysical objects and to understand and further optimize inertial confinement fusion applications.The workhorse of warm dense matter theory is thermal density functional theory(DFT),which,however,suffers from two limitations:(i)its accuracy can depend on the utilized exchange-correlation functional,which has to be approximated,and(ii)it is generally limited to single-electron properties such as the density distribution.Here,we present a new ansatz combining time-dependent DFT results for the dynamic structure factor See(q,ω)with static DFT results for the density response.This allows us to estimate the electron-electron static structure factor See(q)of warm dense hydrogen with high accuracy over a broad range of densities and temperatures.In addition to its value for the study of warm dense matter,our work opens up new avenues for the future study of electronic correlations exclusively within the framework of DFT for a host of applications.展开更多
BACKGROUND Cognitive impairment is a common functional impairment after stroke that severely affects the quality of life of patients.The underlying neurobiological mechanisms of poststroke cognitive impairment(PSCI)re...BACKGROUND Cognitive impairment is a common functional impairment after stroke that severely affects the quality of life of patients.The underlying neurobiological mechanisms of poststroke cognitive impairment(PSCI)remain unclear.AIM To investigate the changes in functional connectivity(FC)in the brains of patients with PSCI.METHODS A total of 21 patients with PSCI and 12 healthy controls were selected as study subjects,and resting-state functional magnetic resonance imaging was performed.The brain region[Cerebellum_6_R(aal)]with significant differences identified by regional homogeneity analysis and the left thalamus,right thalamus,left basal ganglia,and right basal ganglia in the Brainnetome Atlas were selected as the seeds(regions of interest),and the FC between the seeds and whole-brain voxels was analyzed.Moreover,the 116 brain regions defined in the AAL116 atlas were selected as seeds(regions of interest),and the FC between the whole-brain seeds was calculated.RESULTS The results of the seed-based FC analysis revealed that the FC of the Cerebelum_9_R,Occipital_Mid_L,and Fusiform_R in the PSCI group was significantly greater than that in the control group.FC analysis of whole-brain seeds revealed that the FC of 20 pairs(Cerebelum_4_5_R and Cerebelum_6_R,etc.)in the PSCI group was significantly greater than that in the healthy control group.CONCLUSION Patients with PSCI exhibit changes in the FC of specific brain regions in the resting state,which may help researchers explore the underlying neurobiological mechanisms of PSCI from a new perspective.展开更多
Shale gas development often suffers from wellbore instability due to microfractures in the formation,posing serious challenges to drilling safety and efficiency.This study presents a functionalized graphene oxide(GO-P...Shale gas development often suffers from wellbore instability due to microfractures in the formation,posing serious challenges to drilling safety and efficiency.This study presents a functionalized graphene oxide(GO-PAA)nanomaterial,prepared by grafting hydrophilic polyacrylic acid(PAA)chains onto GO surfaces to enhance dispersion stability under high salinity,elevated temperature,and wide pH conditions.The results indicate that GO-PAA effectively resists charge-shielding effects under conditions of high salinity,elevated temperature,and a wide pH range,significantly reducing the risk of particle aggregation.Even at high salt concentrations,the zeta potential remains below-32.8 mV,demonstrating good colloidal stability.Plugging performance was evaluated using simulated core experiments.GO-PAA fo rmed a"band-aid"like barrier on shale microfracture surfaces,reducing permeability by up to57.53%,nearly twice that of conventional spherical nano particles.Scanning electron microscope(SEM)and elemental analysis confirmed the formation of a dense and uniform plugging layer.The synergistic interaction between GO's 2D lamellar structure and the flexible polymer chains facilitated effective surface adhesion and coverage.This adsorption-adhesion plugging mechanism represents a shift from traditional bridging theories,enabling reduced material usage and improved efficiency.The findings provide theo retical and practical support for designing high-perfo rmance nanoplugging agents in waterbased drilling fluids,contributing to safer and more sustainable shale gas development.展开更多
Ln@MOFs by anchoring rare metal ions(Ln) into metal-organic frameworks(MOFs) are proved to have great potential in the field of luminescent molecular thermometer.Nevertheless,the current research indicated that the po...Ln@MOFs by anchoring rare metal ions(Ln) into metal-organic frameworks(MOFs) are proved to have great potential in the field of luminescent molecular thermometer.Nevertheless,the current research indicated that the poor structural stability and low sensitivity hindered their application scope.In this work,a new MOF Zn-450 luminescent thermometer with multiple emission fluorescence characteristics was synthesized by the combination of 3,3,5,5-biphenyl tetracarboxylic acid(H4L) and Zn2+ ion under solvothermal conditions.Interestingly,a high relative sensitivity of 1.43 % K-1 was found within 80-300 K based on Zn-450.Subsequently,two high-sensitivity luminescent Ln@MOFs(Ln = Eu and Tb) were further fabricated by doping rare earth ions into Zn-450 based on the post-synthesis strategy.Among them,the Eu@Zn-450 demonstrates various luminous behaviors while achieving an increased relative sensitivity of 1.63 % K-1.In addition,the continuously visible red,pink,and purple luminescent emissions at the same temperature range were observed,suggesting that the Eu@Zn-450 could be utilized as a luminescent colorimetric molecular thermometer.Importantly,this work can present new possibilities for the development of rare earth-doped luminescence and its temperature sensing properties.展开更多
The work is conducted to uncover and simulate the dependence of the evolving anisotropic-asymmetric yield behavior on the temperature for an Mg-Gd-Y alloy.Experiments were carried out at 25~300℃,including uniaxial te...The work is conducted to uncover and simulate the dependence of the evolving anisotropic-asymmetric yield behavior on the temperature for an Mg-Gd-Y alloy.Experiments were carried out at 25~300℃,including uniaxial tension and compression.The strength is observed to decrease non-linearly as the temperature increases.Thermal softening effect is not significant when the temperature is lower than 200℃,but the strength decreases dramatically at high temperature than 250℃.Tension-compression asymmetry and anisotropy are observed to be strongly and nonlinearly dependent on strain and temperature.The temperature effect is taken into account in a combined Swift-Voce(SVT)model to predict the temperature-dependent strain hardening behavior with a higher accuracy than the traditional Johnson-Cook and Zerilli-Armstrong equations.An analytical Yoon2014(A-Yoon2014)yield function is established to capture the evolving anisotropicasymmetric behavior with respect to strain and temperature.The predicted force-stroke curves of the A-Yoon2014+SVT model are closer to the experimental results of the three-point bending process than the numerical results of the original Yoon2014+SVT model.Given its userfriendliness and high accuracy for the modeling of temperature-dependent anisotropic-asymmetric hardening behavior,the A-Yoon2014+SVT model is recommended to be utilized in the numerical simulation of plastic forming process for hexagonal close-packed metals.展开更多
Background Weaning-induced diarrhoea and growth retardation in piglets are associated with impaired intestinal barrier function and decreased levels of colonic short-chain fatty acids(SCFAs).Although SCFA supplementat...Background Weaning-induced diarrhoea and growth retardation in piglets are associated with impaired intestinal barrier function and decreased levels of colonic short-chain fatty acids(SCFAs).Although SCFA supplementation has been proposed to mitigate these issues,the efficacy and optimal dosage of sodium isobutyrate remain unclear.Results We investigated the effects of sodium isobutyrate supplementation(500,1,000,2,000,and 4,000 mg/kg diet)on weaned piglets(Duroc×Landrace×Yorkshire,28 d of age;n=8).After a 28-d feeding trial,supplementation at 500–2,000 mg/kg significantly improved average daily gain and feed efficiency and reduced diarrhoea frequency,with maximal benefits observed at 1,000 mg/kg(P<0.0001).Additionally,500–1,000 mg/kg sodium isobutyrate supplementation increased the apparent digestibility of crude protein,organic matter,and crude fibre(P<0.05).Serum biochemical parameters were unaffected,although secretory immunoglobulin A(SIgA)levels significantly increased upon supplementation with 500–1,000 mg/kg(P<0.05).16S rRNA gene sequencing indicated that sodium isobutyrate increased the abundance of beneficial colonic microbiota.The 1,000 mg/kg group presented the most pronounced effect,with a significant increase of the relative abundance of Prevotella and the greatest improvement in SCFA concentrations(P<0.05).Metabolomics revealed elevated levels of colonic indole-3-lactic acid and 3-hydroxybutyrate upon supplementation with 1,000 mg/kg(P<0.05).Transcriptomic analyses indicated activation of protein digestion and absorption pathways,and PI3K-Akt signalling,marked by TSG-6 upregulation and the suppression of ISG15 and DDIT4 expression(P<0.05).Supplementation with 1,000 mg/kg was associated with improved intestinal barrier-related markers,including reduced serum D-lactate,diamine oxidase,and lipopolysaccharide levels,increased tight junction protein expression;activation of G protein-coupled receptors;and inhibition of TLR4/MyD88/NF-κB signalling(P<0.05),suggesting enhanced barrier function.Conclusions In conclusion,dietary supplementation with 1,000 mg/kg sodium isobutyrate was associated with improved intestinal morphology,reduced serum permeability,increased expression of tight junction proteins,and enhanced immune function in weaned piglets,suggesting enhanced colonic barrier function and providing dosage guidance and mechanistic insights for future applications.展开更多
Background:Rats are often used to prepare skin defect models.However,the skin defect sizes of the models prepared by researchers are different,and the lack of consensus on the critical-size defect makes it difficult t...Background:Rats are often used to prepare skin defect models.However,the skin defect sizes of the models prepared by researchers are different,and the lack of consensus on the critical-size defect makes it difficult to compare their research results.Methods:The time for wound closure was evaluated and recorded through gross observation.The regression equation between the healing time and the diameter of skin defect was established,which can be used to predict the healing time for a certain skin defect size in rats.Histochemical and immunohistochemical staining was used to observe the regeneration and reconstruction of skin appendages,and the functional skin repair was quantitatively scored.Results:The critical-size defect of rats was determined based on the maximum capacity of structural skin repair,and the functional skin repair was quantitatively scored based on the regeneration and reconstruction of skin appendages.The allowable range of critical-size skin defect of SD rats lies between 45 and 50 mm in diameter.The concept of structural repair and the category of functional repair of injured skin are put forward.The regression equation between the structural skin healing time and defect diameters is established.Conclusion:The allowable range of skin critical-size defect of SD rats lies between 45 and 50 mm in diameter.The regression equation between the structural skin healing time and defect diameters can be used to predict the healing time for a certain skin defect size in rats.展开更多
Current seismic damage assessments for high-speed railway(HSR)bridges primarily focus on the overall structural safety,lacking evaluations from multiple performance perspectives,which affects the post-earthquake traff...Current seismic damage assessments for high-speed railway(HSR)bridges primarily focus on the overall structural safety,lacking evaluations from multiple performance perspectives,which affects the post-earthquake traffic decision-making for the bridges.This study proposes a performance-based comprehensive functional damage probability assessment framework for high-speed railway simply supported bridges(HSRSSBs)under earthquakes.The framework categorizes the functions of HSR bridges into three levels:post-earthquake traffic function(PTF),structural bearing function(SBF),and collapse resistance function(CRF),corresponding to the operational,structural safety,and structural integrity requirements of HSRSSB,respectively.By analyzing the damage states of key bridge components during earthquakes,the functional damage probability assessment indicators and classification thresholds are established according to various performance requirements.Damage probability calculations are conducted using the probability density evolution method and vulnerability method.Finally,based on the relationship between damage probabilities at different functional levels,a comprehensive damage probability assessment framework considering the three-level performance requirements of HSRSSBs is developed,and the influence of varying pier heights on the functional damage probability relationship is examined.The results indicate that current HSRSSB designs meet all performance requirements under frequent earthquakes.Under design-level earthquake conditions,the SBF remains in a slight damage state,while the PTF exhibits varying degrees of damage,which worsens as pier height increases.The pier structure satisfies seismic demands even under rare earthquake conditions.展开更多
基金financially supported by the National Natural Science Foundation of China(52473250,12274018,and 12374390)Noncommunicable Chronic Diseases-National Science and Technology Major Project(2023ZD0500902)+2 种基金the Key Scientific and Technological Special Project of Ningbo City(2023Z209)the Member of Youth Innovation Promotion Association Foundation of CAS(No.2023310)Ningbo Youth Science and Technology Innovation Leading Talents Project(2024QL029).
摘要Surface-enhanced Raman scattering(SERS)spectroscopy based on transition metal oxide(TMO)substrates has emerged as a frontier research area,offering distinctive advantages in chemical stability,cost-effectiveness,and tunable optoelectronic properties compared to conventional noble metal substrates.This review systematically clarifies the dual enhancement mechanisms of TMO-based SERS including charge transfer(CT)resonance at the molecule-semiconductor interface and electromagnetic field amplification induced by localized surface plasmon resonance(LSPR);the two work synergistically to achieve signal amplification.In practical applications,TMO enable multi-scenario analysis via the controllable defect engineering-interfacial CT synergistic mechanism in SERS technology.These scenarios include ultrasensitive detection of biomarkers,dynamic tracking of cellular metabolism,real-time monitoring of environmental pollutants,and mechanistic analysis of catalytic reaction pathways.Nevertheless,critical challenges persist,particularly regarding quantitative reproducibility and long-term stability under operational conditions.This review focuses on discussing the SERS enhancement mecha-nisms of TMO,summarizing their diverse analytical applications across multiple fields,and briefly addressing existing limitations,aiming to provide insights for further advancement in TMO-based SERS research.
摘要This study presents an analytical formulation for evaluating the nonlinear equilibrium equations and axial buckling behavior of functionally graded(FG)auxetic cylinders subjected to combined axial and radial loading.The FG auxetic cylinder includes two inner and outer FG layers and one re-entrant honeycomb core layer.The mechanical properties of the FG layers vary through the thickness,and the presented formulation applies to any FG layers with power-law volume fractions.The governing equations are derived using the first-order shear deformation theory(FSDT)and von Kármán nonlinear relations.Nonlinear equilibrium equations are solved using the perturbation technique,while a closed-form solution is obtained for the stability equations with variable coefficients.A detailed parametric study explores the effects of FG layer properties,geometric features,and re-entrant honeycomb core parameters on both deformation and buckling performance.Results show that FG layers significantly impact the structural response.Radial displacement is highly sensitive to radial loading,and positive radial pressure improves buckling resistance.The influence of honeycomb geometry is limited.These insights offer valuable guidance for the optimal design of FG auxetic cylinders in structural and multifunctional applications.
摘要Sandwich functionally graded(FG)auxetic beams are extensively utilized in aerospace,automotive,and biomedical industries due to their excellent strength-toweight ratio,impact resistance,and tunable mechanical properties.The integration of FG materials with auxetic structures enhances their adaptability in advanced engineering applications.However,understanding their dynamic behavior under external excitations is essential for optimal design and structural reliability.Nonlinear interactions in such structures pose significant challenges in vibration analysis,necessitating robust analytical methods.This study presents a closed-form solution for the nonlinear forced vibration analysis of sandwich FG auxetic beams,offering an accurate and efficient method for predicting their dynamic response.The beam consists of two FG face sheets with material properties varying through the thickness and a re-entrant honeycomb auxetic core with an adjustable Poisson's ratio.The governing nonlinear equations of motion are derived using the first-order shear deformation theory(FSDT),the modified Gibson model,and the von Kármán relations,formulated through Hamilton's principle.A closed-form solution is obtained via the Galerkin method and multiple-scale technique.The results demonstrate that FG layers enable control of the overweight and dynamic response amplitude,with positive power law indexes reducing weight.Comparisons with finite element results confirm the accuracy of the proposed formulation.
基金supported by the University of Macao Development Foundation(UMDF)(MYRG-GRG2024-00290-FST-UMDF,MYRG-GRG2025-00250-FST).
摘要This work begins by introducing the groundbreaking concept of log-p-analytic functions.Following this introduction,we proceed to delineate four distinct formulations of Landau-type theorems,specifically crafted for the domain of poly-analytic functions.Among these,two theorems are distinguished by their exactitude,and a third theorem offers a refinement to the existing work of Abdulhadi and Hajj.Concluding the paper,we present four specialized versions of Landau-type theorems applicable to a subset of bounded log-p-analytic functions,resulting in the derivation of two precise outcomes.
摘要By using a certain hybrid-type convolution operator,we first introduce a new subclass of normalized analytic functions in the open unit disk.For members of this analytic function class,we then derive several properties and characteristics including(for example)the modified Hadamard products,Holder's inequalities and convolution properties as well as some closure properties under a general family of integral transforms.
基金supported by the National Natural Science Foundation of China(32271980)the Key Pioneer Research Project of Zhejiang Province(2022C02014)。
摘要Increasing greenhouse gas(GHG)emissions,such as methane(CH4),nitrous oxide(N2O),and carbon dioxide(CO2),from agricultural practices and land use have increased concerns about global warming.Accurate quantification of the GHG using gas sensors is essential for effective management and sustainable agricultural practices.The objective of this study was to make an analytical comparison of the performance of various sensing materials for CH4-,N2O-,and CO2-based sensors in terms of sensitivity,response ratio,response time,and recovery time to establish an efficiency detection level of the GHG emissions.A literature review of 95 different studies showed that palladium-tin dioxide(Pd-SnO2)nano particles,indium oxide(In2O3)nano wires,and gold-lanthanum oxide-doped tin dioxide(AuLa2O3/SnO2)nanofibers had better performance compared to other sensing materials in CH4-,N2O-,and CO2-based sensors,respectively.The findings from reviewed studies revealed that nanoporous structures,nano wires,and nano fibers had faster response and recovery compared to conventional materials due to their big specific surface area(SSA).The designed ternary hybrid structure of sensing materials was more effective for CO2gas detection than the double hybrid structure,unlike CH4-and N2O-based sensors.However,constructive suggestions for researchers were discussed in the conclusion based on the current research status and challenges to improve the performance of GHG sensors.
摘要BACKGROUND Schizophrenia presents complex challenges in older patients due to cognitive and social decline.Existing drug treatments offer limited benefits and pose risks,while aerobic exercise shows promise as a noninvasive intervention whose impact remains underexplored.AIM To investigate the effects of aerobic exercise on cognitive and social function in older patients with schizophrenia.METHODS A retrospective study was conducted in 158 older patients with schizophrenia treated at The First Affiliated Hospital of Chongqing Medical and Pharmaceutical College(June 2023 and December 2024).The patients were divided into an observation group(n=86),which received 3 months of aerobic rehabilitation alongside routine treatment,and a control group(n=72),which received routine treatment alone.Cognitive function was assessed using the Measurement and Treatment Research to Improve Cognition in Schizophrenia Consensus Cognitive Battery,social function using the Inpatient Psychiatric Rehabilitation Outcome Scale(IPROS),and psychotic symptoms using the Positive and Negative Syndrome Scale.RESULTS Post-treatment,Positive and Negative Syndrome Scale total scores were lower in the observation group than in the controls(P<0.001),with significant improvements in positive,negative,and general symptoms.Measurement and Treatment Research to Improve Cognition in Schizophrenia Consensus Cognitive Battery domain scores were improved in processing speed,working memory,verbal/visual learning,and executive function(all P<0.05).IPROS total scores were decreased(P<0.001),indicating better social functioning.Longer exercise duration correlated with greater cognitive gains and lower social function deficits.Body mass index declined(P<0.001),and adverse events were mild and transient(9.3%).Multivariate linear regression confirmed that aerobic exercise was independently associated with a significant reduction in IPROS scores(Adjustedβ=-4.57,95%confidence intervals:-6.08 to-3.05,P<0.001).CONCLUSION Aerobic exercise effectively improves cognitive function,social function,and psychotic symptoms in older patients with schizophrenia,is safe,and serves as a valuable adjunctive intervention.
基金supported by the National Natural Science Foundation of China(NSFC No.52271228)the Natural Science Foundation of Shaanxi Province(No.2023-JC-ZD-21)the Doctoral Dissertation Innovation Fund of Xi'an University of Technology(No.101-252072301)。
摘要Graphitic carbon nitride(g-CN)stands out as the most promising candidate for solar energy conversion owing to its easy preparation,metal-free nature,flexible molecular structure,moderate bandgap,and excellent thermal/chemical stability.To enhance the performance of intrinsic g-CN,a supramolecular self-assembly strategy has been proposed to regulate the molecular structure of supramolecular precursors through non-covalent interactions across molecular building blocks,thereby optimizing the electronic structure of g-CN.This review provides a comprehensive overview of the recent progress in supramolecular self-assembly-derived graphitic carbon nitride(SM-CN)from both experimental and theoretical computational research in synthesis strategies,including synthesis methods and influencing factors,providing a theoretical foundation for the design of supramolecular assembly.It also discusses modification strategies,such as internal modification of the conjugated plane,interlayer optimization,and construction of heterointerfaces to improve the electronic structure of SM-CN owing to its unique layered structure.This review further summarizes the applications of SM-CN in environment and energy,including wastewater treatment,sterilization and disinfection/air purification,water splitting,H2O2production,organic synthesis/biomass conversion,CO2reduction,photocatalytic coupling technology.Finally,perspectives and outlooks for the future development of SM-CN aim to inspire further innovation in the design and construction of high-performance SM-CN for broader applications.
基金supported by National High Level Hospital Clinical Research Funding,grant nos.BJ-2025-122,BJ2023-126CAMS Innovation Fund for Medical Sciences(CIFMS),grant no.2021-I2M-1050National Natural Science Foundation of China,grant no.82170956。
摘要Chronic obstructive pulmonary disease(COPD),a disease responsible for early mortality worldwide,is well accepted to be associated with periodontitis epidemiologically.Although both of the diseases are the multi-microbial inflammatory disease,the precise underlying mechanisms by which periodontitis influences the progression of COPD remains largely unknown.Here,we established COPD accompanied with periodontitis mouse models and observed the pronounced progress in pulmonary symptoms and histopathology,cha racterized by poorer respiratory function,thicke ned bronchial walls,and increased neutrophils infiltration in lung tissue.Mechanistically,periodontitis pathogen Porphyromonas gingivalis(P.gingivalis)relocated in the lung through the respiratory tract and LPS from P.gingivalis promoted the secretion of chemokines CXCL2 and G-CSF of alveolar epithelial cells through NF-κB and p38 MAPK pathways to recruit neutrophils.Furthermore,exposure to P.gingivalis of infiltrated neutrophils released matrix metallopeptidase-8(MMP-8)and neutrophil elastase(NE),which aggravated airway inflammation and tissue damage.These findings indicated that periodontitis could exacerbate COPD via its pathogen P.gingivalis,which translocated in the lung and stimulated neutrophil chemotaxis and activation in the lung.
基金supported by the National Natural Science Foundation of China,Nos.82201474(to GL),82203835(to YF),82071330(to ZT)。
摘要Functional near-infrared spectroscopy quantifies cerebral hemodynamic signals by capturing oxygenation-dependent changes in hemoglobin in a noninvasive,portable,and ecologically valid manner,providing a unique insight into neurovascular coupling.However,functional imaging biomarkers with high ecological validity for neurological disorders such as stroke,Parkinson's disease,dementia,amyotrophic lateral sclerosis,epilepsy,spinal cord injury,and traumatic brain injury are lacking,limiting the mechanistic understanding,treatment evaluations,and individualized interventions.The aim of this review is to systematically summarize evidence from the past decade on the use of functional near-infrared spectroscopy under the aforementioned conditions,synthesize its value for revealing neural mechanisms and assessing therapeutic responses,and identify current technical bottlenecks and future directions for advancement.Collectively,the findings demonstrate that functional near-infrared spectroscopy possesses substantial and far-reaching potential for uncovering the neural mechanisms underlying disease and for evaluating treatment-induced changes in brain function.Equipped with wearable probes,functional near-infrared spectroscopy can continuously and noninvasively monitor brain activity in naturalistic environments for extended periods,thereby overcoming the limitations of conventional imaging modalities that can only acquire data under restricted settings.This capability can furnish unprecedented objective neuroimaging evidence for neuroregenerative therapy research.Moreover,the portability of functional near-infrared spectroscopy allows it to be integrated into neurofeedback training systems:hemoglobin signals can be fed back to participants within milliseconds,enabling targeted,individualized,closed-loop modulation of brain function and considerably expanding the scope of hemodynamicsbased neurofeedback.When combined with other brain function assays(such as electroencephalography)and intervention techniques(such as transcranial magnetic stimulation and transcranial direct current stimulation),functional near-infrared spectroscopy also supplies high-temporal-resolution hemodynamic information,laying a critical foundation for the construction of high-precision noninvasive brain–computer interfaces,real-time cognitivestate decoding,and adaptive neuromodulation.Admittedly,almost all existing functional near-infrared spectroscopy studies are still observational and have small sample sizes,short follow-ups,and insufficient controls—shortcomings that together produce low-grade evidence.Therefore,there is still a significant gap before clinical translation can be achieved.Technically,the limited penetration depth of functional near-infrared spectroscopy restricts sampling to the superficial cortex,leaving deep nuclei largely unreachable.In addition,no consensus exists across devices regarding optode layout,light-source choice,motion-artifact correction,or analytical pipelines,creating pronounced heterogeneity that undermines reproducibility.With artificial intelligence and big data analytics advancing rapidly,functional near-infrared spectroscopy embedded within multimodal fusion frameworks is now poised to systematically map aberrant brain function signatures of neurological disorders,identify pathological regions suitable for targeted intervention,and provide real-time assessments of functional changes produced by neuroregenerative therapies.
基金supported by grants from the Guangxi Science and Technology Major Project(GKAA24206023)the Biological Breeding-National Science and Technology Major Project(2024ZD04077)+2 种基金the National Natural Science Foundation of China(32272120)the National Key Research and Development Program of China(2024YFF1000800)the Guangdong Basic Research Center of Excellence for Precise Breeding of Future Crops Major Project(FCBRCE-202502,FCBRCE-202504).
摘要A growing global population and the increasing prevalence of diet-related health issues such as“hidden hunger”,obesity,hypertension,and diabetes necessitate a fundamental rethinking of crop design and breeding.Synthetic metabolic engineering offers a method to modify and redesign metabolic pathways to increase the nutritional value of crops.We summarize recent advances in the biofortification of key nutrients including provitamin A,vitamin C,vitamin B9,iron,zinc,anthocyanins,flavonoids,and unsaturated fatty acids.We discuss the potential of multi-gene stacking,gene editing,enzyme engineering,and artificial intelligence in synthetic metabolic engineering.We propose future research directions and potential solutions centered on leveraging AI-driven systems biology,precision gene editing,enzyme engineering,agrobacterium-mediated genotype-independent transformation,and modular metabolic engineering strategies to develop next-generation nutritionally enhanced super crops and transform global food systems.
基金supported by the National Natural Science Foundation of China(No.41941018)Shanghai Gaofeng Discipline Construction Funding.
摘要Strong seismic excitation and fault dislocation are likely to occur simultaneously in high-intensity seismic zones,causing severe damage to tunnels crossing active fault zones.This paper aims to develop a novel analytical solution to determine the longitudinal mechanical responses of tunnels subjected to the combined effects of seismic waves and strike-slip faulting.Adopting the elastic springbeam model,the seismic waves are modelled as shear horizontal(SH)waves and the fault dislocation follows an S-shaped pattern;the superposition principle for free-fielddisplacements caused by both effects is assumed.In addition,the transmission and reflectionof seismic waves at the fault-rock geological interface and the tangential contact conditions at the tunnel-rock interface are considered.The analytical model is validated against numerical simulations,confirmingits accuracy in calculating tunnel responses.Moreover,a parametric study is conducted to evaluate the impact of key factors,including fault displacement,fault zone width,fault dip angle,earthquake frequency,rock conditions,tunnel lining stiffness,and tangential contact conditions,on tunnel responses.Compared with each effect alone,the combined effects of seismic waves and strike-slip faulting significantlychange the tunnel deformation and internal forces,leading to increased tunnel responses,especially within the fault zone and near the fault-rock interfaces.Depending on specificparameters,tunnel responses can be classifiedinto seismic-dominated,faulting-dominated,and seismic-faulting coupled responses on the basis of the relative contributions of each effect.The proposed analytical solution can be applied to quickly predict the longitudinal mechanical behaviour of tunnels under such combined effects in engineering applications.
基金partially supported by the Center for Advanced Systems Understanding (CASUS), financed by Germany’s Federal Ministry of Education and Research and the Saxon State Government out of the State Budget approved by the Saxon State Parliamentthe European Union’s Just Transition Fund (JTF) within the project Röntgenlaser Optimierung der Laserfusion (ROLF), Contract No. 5086999001, co-financed by the Saxon State Government out of the State Budget approved by the Saxon State Parliament+3 种基金the European Research Council (ERC) under the European Union’s Horizon 2022 Research and Innovation Programme (Grant Agreement No. 101076233, “PREXTREME”)Computations were performed on a Bull Cluster at the Center for Information Services and High-Performance Computing (ZIH) at Technische Universität Dresden and at the Norddeutscher Verbund für Hoch- und Höchstleistungsrechnen (HLRN) under Grant No. mvp00024support by the National Natural Science Foundation of China under Grant No. 12274171support by the Advanced Materials–National Science and Technology Major Project (Grant No. 2024ZD0606900)
摘要Understanding the properties of warm dense hydrogen is of key importance for the modeling of compact astrophysical objects and to understand and further optimize inertial confinement fusion applications.The workhorse of warm dense matter theory is thermal density functional theory(DFT),which,however,suffers from two limitations:(i)its accuracy can depend on the utilized exchange-correlation functional,which has to be approximated,and(ii)it is generally limited to single-electron properties such as the density distribution.Here,we present a new ansatz combining time-dependent DFT results for the dynamic structure factor See(q,ω)with static DFT results for the density response.This allows us to estimate the electron-electron static structure factor See(q)of warm dense hydrogen with high accuracy over a broad range of densities and temperatures.In addition to its value for the study of warm dense matter,our work opens up new avenues for the future study of electronic correlations exclusively within the framework of DFT for a host of applications.
基金Supported by the Affiliated Hospital of North Sichuan Medical College,No.2020ZD017 and No.2020ZD008.
摘要BACKGROUND Cognitive impairment is a common functional impairment after stroke that severely affects the quality of life of patients.The underlying neurobiological mechanisms of poststroke cognitive impairment(PSCI)remain unclear.AIM To investigate the changes in functional connectivity(FC)in the brains of patients with PSCI.METHODS A total of 21 patients with PSCI and 12 healthy controls were selected as study subjects,and resting-state functional magnetic resonance imaging was performed.The brain region[Cerebellum_6_R(aal)]with significant differences identified by regional homogeneity analysis and the left thalamus,right thalamus,left basal ganglia,and right basal ganglia in the Brainnetome Atlas were selected as the seeds(regions of interest),and the FC between the seeds and whole-brain voxels was analyzed.Moreover,the 116 brain regions defined in the AAL116 atlas were selected as seeds(regions of interest),and the FC between the whole-brain seeds was calculated.RESULTS The results of the seed-based FC analysis revealed that the FC of the Cerebelum_9_R,Occipital_Mid_L,and Fusiform_R in the PSCI group was significantly greater than that in the control group.FC analysis of whole-brain seeds revealed that the FC of 20 pairs(Cerebelum_4_5_R and Cerebelum_6_R,etc.)in the PSCI group was significantly greater than that in the healthy control group.CONCLUSION Patients with PSCI exhibit changes in the FC of specific brain regions in the resting state,which may help researchers explore the underlying neurobiological mechanisms of PSCI from a new perspective.
基金supported by the Open Fund of State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation[PLN202413]the National Natural Science Foundation of China(52274008)+1 种基金the National Key R&D Projects(2019YFA0708303)the Science and Technology Cooperation Project of the CNPCSWPU Innovation Alliance(2020CX040102,2020CX040201)。
摘要Shale gas development often suffers from wellbore instability due to microfractures in the formation,posing serious challenges to drilling safety and efficiency.This study presents a functionalized graphene oxide(GO-PAA)nanomaterial,prepared by grafting hydrophilic polyacrylic acid(PAA)chains onto GO surfaces to enhance dispersion stability under high salinity,elevated temperature,and wide pH conditions.The results indicate that GO-PAA effectively resists charge-shielding effects under conditions of high salinity,elevated temperature,and a wide pH range,significantly reducing the risk of particle aggregation.Even at high salt concentrations,the zeta potential remains below-32.8 mV,demonstrating good colloidal stability.Plugging performance was evaluated using simulated core experiments.GO-PAA fo rmed a"band-aid"like barrier on shale microfracture surfaces,reducing permeability by up to57.53%,nearly twice that of conventional spherical nano particles.Scanning electron microscope(SEM)and elemental analysis confirmed the formation of a dense and uniform plugging layer.The synergistic interaction between GO's 2D lamellar structure and the flexible polymer chains facilitated effective surface adhesion and coverage.This adsorption-adhesion plugging mechanism represents a shift from traditional bridging theories,enabling reduced material usage and improved efficiency.The findings provide theo retical and practical support for designing high-perfo rmance nanoplugging agents in waterbased drilling fluids,contributing to safer and more sustainable shale gas development.
基金supported by the National Natural Science Foundation of China (No.21801111)the Training Plan for Young Core Teachers in Higher Education of Henan Province (No.2021GGJS131)+1 种基金Natural Science Foundation of Henan Province (No.232300421232)the Heluo Young Talent Lifting Project (No.2023HLTJ02)。
摘要Ln@MOFs by anchoring rare metal ions(Ln) into metal-organic frameworks(MOFs) are proved to have great potential in the field of luminescent molecular thermometer.Nevertheless,the current research indicated that the poor structural stability and low sensitivity hindered their application scope.In this work,a new MOF Zn-450 luminescent thermometer with multiple emission fluorescence characteristics was synthesized by the combination of 3,3,5,5-biphenyl tetracarboxylic acid(H4L) and Zn2+ ion under solvothermal conditions.Interestingly,a high relative sensitivity of 1.43 % K-1 was found within 80-300 K based on Zn-450.Subsequently,two high-sensitivity luminescent Ln@MOFs(Ln = Eu and Tb) were further fabricated by doping rare earth ions into Zn-450 based on the post-synthesis strategy.Among them,the Eu@Zn-450 demonstrates various luminous behaviors while achieving an increased relative sensitivity of 1.63 % K-1.In addition,the continuously visible red,pink,and purple luminescent emissions at the same temperature range were observed,suggesting that the Eu@Zn-450 could be utilized as a luminescent colorimetric molecular thermometer.Importantly,this work can present new possibilities for the development of rare earth-doped luminescence and its temperature sensing properties.
基金support by the National Natural Science Foundation of China(Grant No.52075423,U2141214)National Science and Technology Major Project of China(No.J2019-III-0008-0051)Taiyuan University of Science and Technology Scientific Research Initial Funding(Grant No.20242119).
摘要The work is conducted to uncover and simulate the dependence of the evolving anisotropic-asymmetric yield behavior on the temperature for an Mg-Gd-Y alloy.Experiments were carried out at 25~300℃,including uniaxial tension and compression.The strength is observed to decrease non-linearly as the temperature increases.Thermal softening effect is not significant when the temperature is lower than 200℃,but the strength decreases dramatically at high temperature than 250℃.Tension-compression asymmetry and anisotropy are observed to be strongly and nonlinearly dependent on strain and temperature.The temperature effect is taken into account in a combined Swift-Voce(SVT)model to predict the temperature-dependent strain hardening behavior with a higher accuracy than the traditional Johnson-Cook and Zerilli-Armstrong equations.An analytical Yoon2014(A-Yoon2014)yield function is established to capture the evolving anisotropicasymmetric behavior with respect to strain and temperature.The predicted force-stroke curves of the A-Yoon2014+SVT model are closer to the experimental results of the three-point bending process than the numerical results of the original Yoon2014+SVT model.Given its userfriendliness and high accuracy for the modeling of temperature-dependent anisotropic-asymmetric hardening behavior,the A-Yoon2014+SVT model is recommended to be utilized in the numerical simulation of plastic forming process for hexagonal close-packed metals.
基金The National Natural Science Foundation of China(32302759,32372924)the CAST Youth Talent Support Project-Special Program for Doctoral Students(156-O-230-0000375-5)。
摘要Background Weaning-induced diarrhoea and growth retardation in piglets are associated with impaired intestinal barrier function and decreased levels of colonic short-chain fatty acids(SCFAs).Although SCFA supplementation has been proposed to mitigate these issues,the efficacy and optimal dosage of sodium isobutyrate remain unclear.Results We investigated the effects of sodium isobutyrate supplementation(500,1,000,2,000,and 4,000 mg/kg diet)on weaned piglets(Duroc×Landrace×Yorkshire,28 d of age;n=8).After a 28-d feeding trial,supplementation at 500–2,000 mg/kg significantly improved average daily gain and feed efficiency and reduced diarrhoea frequency,with maximal benefits observed at 1,000 mg/kg(P<0.0001).Additionally,500–1,000 mg/kg sodium isobutyrate supplementation increased the apparent digestibility of crude protein,organic matter,and crude fibre(P<0.05).Serum biochemical parameters were unaffected,although secretory immunoglobulin A(SIgA)levels significantly increased upon supplementation with 500–1,000 mg/kg(P<0.05).16S rRNA gene sequencing indicated that sodium isobutyrate increased the abundance of beneficial colonic microbiota.The 1,000 mg/kg group presented the most pronounced effect,with a significant increase of the relative abundance of Prevotella and the greatest improvement in SCFA concentrations(P<0.05).Metabolomics revealed elevated levels of colonic indole-3-lactic acid and 3-hydroxybutyrate upon supplementation with 1,000 mg/kg(P<0.05).Transcriptomic analyses indicated activation of protein digestion and absorption pathways,and PI3K-Akt signalling,marked by TSG-6 upregulation and the suppression of ISG15 and DDIT4 expression(P<0.05).Supplementation with 1,000 mg/kg was associated with improved intestinal barrier-related markers,including reduced serum D-lactate,diamine oxidase,and lipopolysaccharide levels,increased tight junction protein expression;activation of G protein-coupled receptors;and inhibition of TLR4/MyD88/NF-κB signalling(P<0.05),suggesting enhanced barrier function.Conclusions In conclusion,dietary supplementation with 1,000 mg/kg sodium isobutyrate was associated with improved intestinal morphology,reduced serum permeability,increased expression of tight junction proteins,and enhanced immune function in weaned piglets,suggesting enhanced colonic barrier function and providing dosage guidance and mechanistic insights for future applications.
基金National Key Research and Development Program of China,Grant/Award Number:2023YFC2410403。
摘要Background:Rats are often used to prepare skin defect models.However,the skin defect sizes of the models prepared by researchers are different,and the lack of consensus on the critical-size defect makes it difficult to compare their research results.Methods:The time for wound closure was evaluated and recorded through gross observation.The regression equation between the healing time and the diameter of skin defect was established,which can be used to predict the healing time for a certain skin defect size in rats.Histochemical and immunohistochemical staining was used to observe the regeneration and reconstruction of skin appendages,and the functional skin repair was quantitatively scored.Results:The critical-size defect of rats was determined based on the maximum capacity of structural skin repair,and the functional skin repair was quantitatively scored based on the regeneration and reconstruction of skin appendages.The allowable range of critical-size skin defect of SD rats lies between 45 and 50 mm in diameter.The concept of structural repair and the category of functional repair of injured skin are put forward.The regression equation between the structural skin healing time and defect diameters is established.Conclusion:The allowable range of skin critical-size defect of SD rats lies between 45 and 50 mm in diameter.The regression equation between the structural skin healing time and defect diameters can be used to predict the healing time for a certain skin defect size in rats.
基金supported by the National Natural Science Foundation of China(Grant No.5247084033)Natural Science Foundation of Hunan Province of China(Grant No.2022JJ30745)+2 种基金Frontier cross research project of Central South University(Grant No.2023QYJC006),ScienceTechnology Research and Development Program Project of China railway group limited(Major Special Project,No.2021-Special-04-2)China Scholarship Council(CSC).
摘要Current seismic damage assessments for high-speed railway(HSR)bridges primarily focus on the overall structural safety,lacking evaluations from multiple performance perspectives,which affects the post-earthquake traffic decision-making for the bridges.This study proposes a performance-based comprehensive functional damage probability assessment framework for high-speed railway simply supported bridges(HSRSSBs)under earthquakes.The framework categorizes the functions of HSR bridges into three levels:post-earthquake traffic function(PTF),structural bearing function(SBF),and collapse resistance function(CRF),corresponding to the operational,structural safety,and structural integrity requirements of HSRSSB,respectively.By analyzing the damage states of key bridge components during earthquakes,the functional damage probability assessment indicators and classification thresholds are established according to various performance requirements.Damage probability calculations are conducted using the probability density evolution method and vulnerability method.Finally,based on the relationship between damage probabilities at different functional levels,a comprehensive damage probability assessment framework considering the three-level performance requirements of HSRSSBs is developed,and the influence of varying pier heights on the functional damage probability relationship is examined.The results indicate that current HSRSSB designs meet all performance requirements under frequent earthquakes.Under design-level earthquake conditions,the SBF remains in a slight damage state,while the PTF exhibits varying degrees of damage,which worsens as pier height increases.The pier structure satisfies seismic demands even under rare earthquake conditions.