Multipotent stromal cells,otherwise known as mesenchymal stem cells(MSCs),have been widely studied for their regenerative potential across multiple tissues,including the nervous system(Caplan,2017).Reports suggesting ...Multipotent stromal cells,otherwise known as mesenchymal stem cells(MSCs),have been widely studied for their regenerative potential across multiple tissues,including the nervous system(Caplan,2017).Reports suggesting that MSCs can differentiate into neurons and glia spurred optimism towards their future therapeutic application in nervous system disorders.Despite extensive research,however,the precise cellular mechanisms underlying their neural differentiation potential are unclear(George et al.,2019).展开更多
Dear Editors,This letter,reflecting on my research career,is dedi-cated to Professor Qingshi Zhu for his 80th Birthday.Part of this letter is based on my comment“A 20-year journey on the invention of vibrational phot...Dear Editors,This letter,reflecting on my research career,is dedi-cated to Professor Qingshi Zhu for his 80th Birthday.Part of this letter is based on my comment“A 20-year journey on the invention of vibrational photothermal microscopy”published in the May 2025 Nature Meth-ods Focus Issue on Bond-Selective Imaging[1].展开更多
Background:Stomach cancer(SC)is one of the most lethal malignancies worldwide due to late-stage diagnosis and limited treatment.The transcriptomic,epigenomic,and proteomic,etc.,omics datasets generated by high-through...Background:Stomach cancer(SC)is one of the most lethal malignancies worldwide due to late-stage diagnosis and limited treatment.The transcriptomic,epigenomic,and proteomic,etc.,omics datasets generated by high-throughput sequencing technology have become prominent in biomedical research,and they reveal molecular aspects of cancer diagnosis and therapy.Despite the development of advanced sequencing technology,the presence of high-dimensionality in multi-omics data makes it challenging to interpret the data.Methods:In this study,we introduce RankXLAN,an explainable ensemble-based multi-omics framework that integrates feature selection(FS),ensemble learning,bioinformatics,and in-silico validation for robust biomarker detection,potential therapeutic drug-repurposing candidates’identification,and classification of SC.To enhance the interpretability of the model,we incorporated explainable artificial intelligence(SHapley Additive exPlanations analysis),as well as accuracy,precision,F1-score,recall,cross-validation,specificity,likelihood ratio(LR)+,LR−,and Youden index results.Results:The experimental results showed that the top four FS algorithms achieved improved results when applied to the ensemble learning classification model.The proposed ensemble model produced an area under the curve(AUC)score of 0.994 for gene expression,0.97 for methylation,and 0.96 for miRNA expression data.Through the integration of bioinformatics and ML approach of the transcriptomic and epigenomic multi-omics dataset,we identified potential marker genes,namely,UBE2D2,HPCAL4,IGHA1,DPT,and FN3K.In-silico molecular docking revealed a strong binding affinity between ANKRD13C and the FDA-approved drug Everolimus(binding affinity−10.1 kcal/mol),identifying ANKRD13C as a potential therapeutic drug-repurposing target for SC.Conclusion:The proposed framework RankXLAN outperforms other existing frameworks for serum biomarker identification,therapeutic target identification,and SC classification with multi-omics datasets.展开更多
Malignant melanoma(MM)is a highly aggressive skin cancer known for its rapid progression,potential for metastasis,and resistance to treatment.Despite advances in targeted therapies and immunotherapy,the prognosis for ...Malignant melanoma(MM)is a highly aggressive skin cancer known for its rapid progression,potential for metastasis,and resistance to treatment.Despite advances in targeted therapies and immunotherapy,the prognosis for metastatic melanoma remains unfavorable.Recent research has shed light on the significance of epigenetic modifications in the pathogenesis of melanoma,revealing critical mechanisms of melanoma development and progression.Epigenetic modifications,including DNA and RNA modifications,histone modifications,chromatin remodeling,and non-coding RNA regulation,disrupt normal gene expression without modifying the DNA sequence,leading to cellular transformation,invasion,immune evasion,and therapeutic resistance.The reversible nature of epigenetic modifications opens up new opportunities for melanoma recognition and classification,as well as therapeutic applications,including the development of diagnostic and prognostic biomarkers and innovative targeted therapies aimed at restoring normal gene function and enhancing the efficacy of existing treatments.This review will focus on the multifaceted role of epigenetic dysregulation in melanoma.The future integration of epigenetic data and genomic profiling with clinical outcomes,likely facilitated by artificial intelligence(AI)algorithms,holds promise for personalized treatment strategies that are informed by precise and combinatorial diagnostic tools,ultimately improving melanoma care.The study aims to deliver a comprehensive overview of the current state of epigenetics in melanoma.展开更多
To address the issue of abnormal energy consumption fluctuations in the converter steelmaking process,an integrated diagnostic method combining the gray wolf optimization(GWO)algorithm,support vector machine(SVM),and ...To address the issue of abnormal energy consumption fluctuations in the converter steelmaking process,an integrated diagnostic method combining the gray wolf optimization(GWO)algorithm,support vector machine(SVM),and K-means clustering was proposed.Eight input parameters—derived from molten iron conditions and external factors—were selected as feature variables.A GWO-SVM model was developed to accurately predict the energy consumption of individual heats.Based on the prediction results,the mean absolute percentage error and maximum relative error of the test set were employed as criteria to identify heats with abnormal energy usage.For these heats,the K-means clustering algorithm was used to determine benchmark values of influencing factors from similar steel grades,enabling root-cause diagnosis of excessive energy consumption.The proposed method was applied to real production data from a converter in a steel plant.The analysis reveals that heat sample No.44 exhibits abnormal energy consumption,due to gas recovery being 1430.28 kg of standard coal below the benchmark level.A secondary contributing factor is a steam recovery shortfall of 237.99 kg of standard coal.This integrated approach offers a scientifically grounded tool for energy management in converter operations and provides valuable guidance for optimizing process parameters and enhancing energy efficiency.展开更多
Traumatic brain injury causes permanent cell death and can lead to long-term cognitive dysfunction,with no available treatments to repair the damaged brain tissue.Methods to track and understand traumatic brain injury...Traumatic brain injury causes permanent cell death and can lead to long-term cognitive dysfunction,with no available treatments to repair the damaged brain tissue.Methods to track and understand traumatic brain injury in humans are severely limited by the inaccessibility of living brain tissue,creating a need for in vitro model systems to study cellular mechanisms of degeneration and regeneration following injury.Here we describe methods to establish a 3D human brain tissue model,consisting of a silk-collagen composite scaffold seeded with human neurons,astrocytes,and microglia,to study neuro-regeneration after traumatic brain injury.Step-by-step fabrication,injury,and analytical assessments of the 3D“triculture”system are described.Using this tissue model system,we demonstrate that glial cells promote regeneration of neuronal networks within the injury site over several weeks post-injury.Further,we found that regenerating networks in the 3D triculture tissues did not secrete early markers of neurodegenerative disease,but displayed signs of excitatory/inhibitory imbalance,suggesting that pro-regenerative treatments for traumatic brain injury in the future may need to direct cell differentiation to promote proper function.The mechanical stability of this model system enables physiologically relevant impact injury and long-term culture capability,while its modular design enables modification of cell contents,extracellular matrix composition,and scaffold properties.This adaptability could allow the integration of patient-derived cells and genetic modifications to bridge research and clinical applications focused on personalized targeted therapies.This in vitro system provides a valuable platform for accelerating therapeutic advancements in traumatic brain injury and neurodegenerative disorders,ultimately improving patient outcomes.展开更多
The shared links between Alzheimer’s disease and type 2 diabetes mellitus:Alzheimer’s disease(AD)and type 2 diabetes mellitus(T2DM)are two prevalent conditions that come with substantial daily struggles.Emerging evi...The shared links between Alzheimer’s disease and type 2 diabetes mellitus:Alzheimer’s disease(AD)and type 2 diabetes mellitus(T2DM)are two prevalent conditions that come with substantial daily struggles.Emerging evidence highlights that these diseases share similar pathophysiological features,including insulin resistance and chronic inflammation,which contribute to their rapid progression(Chen et al.,2022).Insulin resistance,a hallmark of T2DM,has been suggested to exacerbate neurodegeneration in AD.Similarly,chronic low-grade inflammation in T2DM parallels with neuroinflammation,which is observed in AD,suggesting overlapping pathophysiological mechanisms in T2DM and AD.展开更多
BACKGROUND Medial dished(MD)liner designs for cruciate-retaining(CR)total knee arthroplasty(TKA)are a relatively novel development.MD tibial inserts have a more constraining medial side,which allows for more similar k...BACKGROUND Medial dished(MD)liner designs for cruciate-retaining(CR)total knee arthroplasty(TKA)are a relatively novel development.MD tibial inserts have a more constraining medial side,which allows for more similar kinematics and function to a native knee.AIM To evaluate the clinical results and patient-reported outcomes after CR TKA procedures utilizing a kinematically designed medial dish system.METHODS A multicenter,retrospective cohort review of 139 primary elective TKAs utilizing a kinematically designed CR Knee System(JOURNEY™II CR MD;Smith and Nephew,Memphis,TN,United States)at three different institutions with a minimum of two years of follow-up.Demographic information,clinical outcomes,and patient-reported outcome measures were collected and analyzed.RESULTS With up to 3.7 years from surgery,overall implant survivorship was 98.6%.There were significant postoperative increases in the average Knee Injury and Osteoarthritis Outcome Score for Joint Replacement scores(17.4 at 6 months,26.1 points at two years or more,P<0.001).CONCLUSION The combination of high implant survivorship and substantial improvements in patient-reported outcome measures suggests that the medial dish tibial insert represents a safe and effective option within TKA.Additional investigation is necessary to evaluate the long-term survivorship of this design.展开更多
Wound management continues to present major clinical challenges,often necessitating therapeutic strategies that extend beyond conventional dressings,which provide only passive protection.Magnesium(Mg),a biologically i...Wound management continues to present major clinical challenges,often necessitating therapeutic strategies that extend beyond conventional dressings,which provide only passive protection.Magnesium(Mg),a biologically indispensable element,has attracted considerable attention for its multifaceted role in wound repair,including modulation of inflammatory responses,stimulation of fibroblast and keratinocyte proliferation,promotion of angiogenesis,and enhancement of collagen synthesis.However,the direct application of Mg formulations is limited by uncontrolled Mg ion(Mg^(2+))release,localized cytotoxicity at elevated concentrations,and inadequate mechanical stability at the wound site.To address these challenges,Mg-incorporated polymeric scaffolds have been developed as advanced delivery platforms.These systems integrate the regenerative capacity of Mg with the tunable properties of polymers,enabling controlled degradation,mechanical reinforcement,and sustained Mg^(2+)release to establish a favorable microenvironment for tissue repair.This review critically examines the role of Mg in wound healing and the effectiveness of polymeric matrices for controlled Mg^(2+)delivery.It further provides a comprehensive evaluation of recent advances in Mg-incorporated polymeric scaffolds,including nanofibers,hydrogels,and sponges,with emphasis on fabrication strategies,structural characteristics,and therapeutic efficacy.Key challenges,such as optimizing ion release kinetics,enhancing scaffold stability,and facilitating clinical translation,are also discussed.Collectively,this work underscores the potential of Mg-polymeric scaffolds as a next-generation platform for advanced wound care and highlights perspectives for future research and development.展开更多
Neuroinflammation is a crucial factor in the progression of various diseases,ranging from immune-related conditions such as sepsis to neurodegenerative disorders such as Alzheimer’s disease(AD)(Ravichandran and Henek...Neuroinflammation is a crucial factor in the progression of various diseases,ranging from immune-related conditions such as sepsis to neurodegenerative disorders such as Alzheimer’s disease(AD)(Ravichandran and Heneka,2024).This perspective article,which draws on insights from diverse fields including neuroscience,immunology,and pathology,p rovides a critical analysis of ongoing research efforts in inflammasome biology,with specific emphasis on Nod-like receptor(NLR)and pyrin domain-containing protein 3(NLRP3).展开更多
Graph neural networks(GNNs)have shown notable success in identifying security vulnerabilities within Ethereum smart contracts by capturing structural relationships encoded in control-and data-flow graphs.Despite their...Graph neural networks(GNNs)have shown notable success in identifying security vulnerabilities within Ethereum smart contracts by capturing structural relationships encoded in control-and data-flow graphs.Despite their effectiveness,most GNN-based vulnerability detectors operate as black boxes,making their decisions difficult to interpret and thus less suitable for critical security auditing.The information bottleneck(IB)principle provides a theoretical framework for isolating task-relevant graph components.However,existing IB-based implementations often encounter unstable optimization and limited understanding of code semantics.To address these issues,we introduce ContractGIB,an interpretable graph information bottleneck framework for function-level vulnerability analysis.ContractGIB introduces three main advances.First,ContractGIB introduces an Hilbert–Schmidt Independence Criterion(HSIC)based estimator that provides stable dependence measurement.Second,it incorporates a CodeBERT semantic module to improve node representations.Third,it initializes all nodes with pretrained CodeBERT embeddings,removing the need for hand-crafted features.For each contract function,ContractGIB identifies themost informative nodes forming an instance-specific explanatory subgraph that supports the model’s prediction.Comprehensive experiments on public smart contract datasets,including ESC andVSC,demonstrate thatContractGIB achieves superior performance compared to competitive GNN baselines,while offering clearer,instance-level interpretability.展开更多
Alzheimer’s disease is initially thought to be caused by age-associated accumulation of plaques,in recent years,research has increasingly associated Alzheimer’s disease with lysosomal storage and metabolic disorders...Alzheimer’s disease is initially thought to be caused by age-associated accumulation of plaques,in recent years,research has increasingly associated Alzheimer’s disease with lysosomal storage and metabolic disorders,and the explanation of its pathogenesis has shifted from amyloid and tau accumulation to oxidative stress and impaired lipid and glucose metabolism aggravated by hypoxic conditions.However,the underlying mechanisms linking those cellular processes and conditions to disease progression have yet to be defined.Here,we applied a disease similarity approach to identify unknown molecular targets of Alzheimer’s disease by using transcriptomic data from congenital diseases known to increase Alzheimer’s disease risk,namely Down syndrome,Niemann-Pick type C disease,and mucopolysaccharidoses I.We uncovered common pathways,hub genes,and miRNAs across in vitro and in vivo models of these diseases as potential molecular targets for neuroprotection and amelioration of Alzheimer’s disease pathology,many of which have never been associated with Alzheimer’s disease.We then investigated common molecular alterations in brain samples from a Niemann-Pick type C disease mouse model by juxtaposing them with brain samples of both human and mouse models of Alzheimer’s disease.Detailed phenotypic,molecular,chronological,and biological aging analyses revealed that the Npc1tm(I1061T)Dso mouse model can serve as a potential short-lived in vivo model for brain aging and Alzheimer’s disease research.This research represents the first comprehensive approach to congenital disease association with neurodegeneration and a new perspective on Alzheimer’s disease research while highlighting shortcomings and lack of correlation in diverse in vitro models.Considering the lack of an Alzheimer’s disease mouse model that recapitulates the physiological hallmarks of brain aging,the short-lived Npc1^(tm(I1061T)Dso) mouse model can further accelerate the research in these fields and offer a unique model for understanding the molecular mechanisms of Alzheimer’s disease from a perspective of accelerated brain aging.展开更多
Our purpose in this paper is to describe the hamster-like rodents(Cricetidae)from a Late Miocene age site in Linxia Basin,Gansu Province,and discuss their significance for the changing ecology of central Asia.The micr...Our purpose in this paper is to describe the hamster-like rodents(Cricetidae)from a Late Miocene age site in Linxia Basin,Gansu Province,and discuss their significance for the changing ecology of central Asia.The micromammal site known as Yihachi was introduced previously(Qiu et al.,2023;Qiu and Li,2023),when its squirrels were discussed in some detail.We take this opportunity to describe the more abundant cricetids.There are four genera,common Nannocricetus and Sinocricetus plus the less abundant living Mesocricetus.A few specimens represent the high-crowned and lophodont Rhinocerodon.The cricetids and other faunal elements indicate an early Late Miocene age,and the pattern of occurrence of the hamster species is consistent with a picture of a changing paleoenvironment due to increasing effects of the East Asia monsoon system.After the disappearance of older and archaic genera,Yihachi represents growing endemism in the Late Miocene of northern China due to increasing seasonal rain and the declining average temperature.展开更多
In Alzheimer’s disease,perturbations of glutamate neurotransmission lead to synaptic dysfunction and synapse loss.Several studies have used glutamate transport inhibitors to demonstrate that soluble oligomers of amyl...In Alzheimer’s disease,perturbations of glutamate neurotransmission lead to synaptic dysfunction and synapse loss.Several studies have used glutamate transport inhibitors to demonstrate that soluble oligomers of amyloid-βinduce synaptic dysfunction by interrupting glutamate uptake mediated by glutamate transporter 1,the major glutamate transporter in the brain.The cellular targets of the synaptic effects of soluble amyloid-βoligomers,including the nature of any interaction with glutamate transporter 1,remain ill-defined.We have generated a conditional glutamate transporter 1 knockout mouse to investigate cell-type specific functions of glutamate transporter 1.Field excitatory postsynaptic potentials were examined in the CA1 region of mouse hippocampal slices.We confirmed that hippocampal long-term potentiation impairment is induced by both soluble amyloid-β oligomers and glutamate uptake inhibitors.Amyloid-βoligomers,including those isolated directly from the cortex of patients with Alzheimer’s disease,failed to inhibit hippocampal long-term potentiation in neuronal glutamate transporter 1 but not astrocytic glutamate transporter 1 knockout mice.The masking or occlusion of the effect of soluble amyloid-β oligomers by knockout of glutamate transporter 1 in neurons suggests that the metabolic or signaling consequences of knockout of glutamate transporter 1 in neurons and amyloid-βoligomer inhibition of synaptic plasticity show epistasis and thus share a similar molecular pathway.To extend these observations,we tested the effects of other types of manipulation of glutamate homeostasis on synaptic plasticity and the pathophysiology of soluble amyloid-β oligomers.Ceftriaxone,which upregulates glutamate transporter 1 levels,among other effects,prevented the impairment of long-term potentiation by soluble amyloid-β oligomers.Collectively,our findings suggest that the effects of amyloid-βon synaptic function are highly dependent on glutamate reuptake homeostasis and that the disruption of synaptic function by soluble amyloid-β oligomers is mediated by pathways linked to neuronal,not astrocytic,glutamate transporter 1.The findings of this study highlight the translational potential of targeting neuronal glutamate transporter 1 to counteract amyloid-β-induced synaptic dysfunction in Alzheimer’s disease.By showing that glutamate transporter 1 upregulation(e.g.,via ceftriaxone)can prevent amyloid-β-related impairments,this research supports developing therapies aimed at modulating glutamate homeostasis to preserve synaptic function and combat cognitive decline in patients with Alzheimer’s disease.展开更多
Acid is commonly used to separate phosphorus-containing solid solutions from steelmaking slag.However,the acid leaching solution obtained from this process cannot be directly utilized and thus requires purification.Th...Acid is commonly used to separate phosphorus-containing solid solutions from steelmaking slag.However,the acid leaching solution obtained from this process cannot be directly utilized and thus requires purification.The effect of different conditions on the calcium and iron removal characteristics of modified steelmaking slag leaching solution was investigated.Additionally,the removal mechanism was analyzed by thermodynamic calculations.The results indicated that the addition of soybean straw ash in steelmaking slag modification enabled K_(2)O to enter the phosphorus-containing solid solution,promoting phosphorus enrichment.Valuable elements such as phosphorus and potassium were more easily dissolved in the mixed acid.The oxalic acid concentration had a significant effect on the calcium removal rate,whereas the effects of temperature,stirring rate,and time on the calcium removal rate were minor.The main component of the calcium removal precipitate was CaC_(2)O_(4)·H_(2)O,with a removal rate up to 94.48%.During the iron removal process,when the pH value of the solution was low,Fe^(3+)mainly reacted to form the iron hydroxide precipitate for removal.Increasing the pH value of the solution would cause Fe^(3+)to combine with H_(2)PO_(4)^(-),forming FePO_(4)·2H_(2)O precipitate,leading to a reduction in the phosphorus content of the leaching solution.展开更多
The electrochemical separation of Mn(Ⅱ)impurity from molten NaCl-KCl-MgCl_(2)was systematically investigated to facilitate the electrolytic production of high-purity magnesium.The reduction of Mn(Ⅱ)to Mn metal on tu...The electrochemical separation of Mn(Ⅱ)impurity from molten NaCl-KCl-MgCl_(2)was systematically investigated to facilitate the electrolytic production of high-purity magnesium.The reduction of Mn(Ⅱ)to Mn metal on tungsten electrode was a quasi-reversible process controlled by diffusion.The apparent standard potential and exchange current density of Mn(Ⅱ)/Mn(0)electrode reaction were determined at temperatures ranging from 973 to 1048 K.Solid Mn metal generated during electrolysis aggregated into irregular clumps and adsorbed some needle-like MgO,imposing a detrimental effect on both the aggregation and the purity of magnesium metal.After electrolysis at-1.5 V in molten NaCl-KCl-MgCl_(2)-0.62wt.%MnCl_(2)for 8 h,the concentration of MnCl_(2)impurity decreased to 0.037 wt.%,achieving a removal efficiency of 94.14%.When direct electrolysis was performed in molten NaCl-KCl-MgCl_(2)-0.62wt.%MnCl_(2),the obtained magnesium metal was small blocks with a caviar-like appearance,and the purity was just 98.59%.In contrast,a large globule of magnesium metal was obtained when electrolysis was performed in the purified electrolyte,and its purity was improved to 99.94%.The controlled-potential electrolysis proposed in this work has been verified to be a green and practically effective method to separate the metal ion impurities from molten electrolyte for high purity magnesium extraction.展开更多
Background Maternal obesity during pregnancy can lead to increased risk for metabolic disease in offspring during adulthood,helping fuel the worldwide increase in obesity.Fortunately,studies in rodent models have esta...Background Maternal obesity during pregnancy can lead to increased risk for metabolic disease in offspring during adulthood,helping fuel the worldwide increase in obesity.Fortunately,studies in rodent models have established that female dams(F0)that perform voluntary wheel running exercise during pregnancy have first-generation(F1)offspring with improved glucose tolerance,suggesting a potential means to reduce the burden of generational metabolic disease transmission.We have shown that maternal exercise also affects F1 male offspring as sires,as their progeny(F2)have similarly improved metabolic health.Whether maternal exercise can affect F1 females in a manner that improves F2 offspring metabolism is not known.Here,we determined whether voluntary exercise by F0 grandmothers,via their F1 female progeny,produced F2 male and female offspring with an improved metabolic phenotype.Methods Six-week-old C57BL/6 N female mice(F0)were fed a chow diet and either kept sedentary or exercise trained by voluntary wheel running for 2 weeks preconception and during pregnancy.Chow-fed sedentary F1 female offspring at 8 weeks of age were bred with age-matched untreated virgin males to generate F2 offspring.F2 were kept sedentary and chow fed and studied up to 52 weeks of age.Metabolic parameters were assessed,including food intake,body weight,body composition,glucose tolerance,systemic glucose and insulin levels,and liver metabolism.Results Grandmaternal exercise did not significantly alter male and female F2 offspring body weights measured throughout the first year of life,nor was there an effect of grandmaternal exercise on F2 offspring fat mass or lean mass.Remarkably,despite the lack of effect on body weight parameters,grandmaternal exercise resulted in improved glucose tolerance and homeostatic model assessment for insulin resistance(HOMA-IR)in F2 offspring at 52 weeks of age,effects that were more pronounced in male F2 offspring.Conclusion Voluntary wheel running exercise in female mice during pregnancy leads to metabolic improvements in her grand offspring,despite no direct intervention of the intermediate maternal generation.Maternal physical activity during pregnancy may reduce metabolic diseases in later generations.展开更多
NaNbO_(3)-based lead-free dielectric ceramics possess significant application prospects in the field of dielectric capacitors.However,their development is hindered by low recoverable energy storage density(W_(rec))and...NaNbO_(3)-based lead-free dielectric ceramics possess significant application prospects in the field of dielectric capacitors.However,their development is hindered by low recoverable energy storage density(W_(rec))and energy storage efficiency(η).Herein,novel NaNbO_(3)-based ceramics,(1-x)[0.7Na_(0.97)Sm_(0.01)NbO_(3)–0.3(Sr_(0.7)Bi_(0.2))(Ti_(0.8)Zr_(0.2))O_(3)]–xCaTiO_(3),were created by adding CaTiO_(3) linear dielectric,aiming to improve their energy storage performance(ESP).The phase structure,microstructure,dielectric properties,energy storage and charge–discharge performances of the ceramics were methodically analyzed.All components of the ceramics exhibit a perovskite structure consisting of two phases:antiferroelectric P-phase(AFE P)and antiferroelectric R-phase(AFE R),with the AFE R phase increasing as x rises.All ceramic surfaces exhibit clear grain morphology.The resultant ceramics have an appropriate dielectric constant and a small dielectric loss,which are beneficial for improving breakdown field strength(E_(b)).Finally,at an E_(b) of 470 kV/cm,0.85[0.7Na_(0.97)Sm_(0.01)NbO_(3)–0.3(Sr_(0.7)Bi_(0.2))(Ti_(0.8)Zr_(0.2))O_(3)]–0.15CaTiO_(3) ceramic achieves optimal ESP:W_(rec)=3.9 J/cm^(3),η=72.49%.In addition,it has remarkable stability with temperature and frequency in energy storage and displays ultrafast speed in the charge–discharge process(t_(0.9)=27 ns).展开更多
Understanding how aging influences the thermal hazards of lithium-ion batteries(LIBs)is critical for enhancing their safety across a wide range of applications.This study systematically investigates the thermal runawa...Understanding how aging influences the thermal hazards of lithium-ion batteries(LIBs)is critical for enhancing their safety across a wide range of applications.This study systematically investigates the thermal runaway(TR)behavior of LIBs,with particular emphasis on combined-pathway aging,evaluated in terms of normalized usable capacity(U_(E)).Key thermal safety parameters,i.e.,TR triggering temperature,mass loss,and heat generation under diverse aging conditions,are quantified.To enable a fair comparison,thermal hazards are evaluated based on equivalent usable capacity,revealing that aged cells exhibit lower TR triggering temperatures and higher heat generation than fresh cells under thermal abuse with elevated thermal risks.Mechanistic analysis identifies lithium plating,solid electrolyte interphase(SEI)formation,and lithium depletion,particularly under high-temperature charging,as the dominant contributors to increased hazard.Using an aging-stressor matrix,a trade-off between high-C-rateinduced thermal instability and high-temperature-induced thermal stability is discovered and quantified,underscoring the strong dependence of thermal hazards on specific aging pathways.This work advances the fundamental understanding of aging-induced safety risks in LIBs and offers practical guidance for the development of safer battery systems,optimized charging protocols,and improved battery management strategies across applications in electric vehicles,consumer electronics,and grid-scale energy storage.展开更多
The Zeeman effect,a fundamental quantum phenomenon,demonstrates the interaction between magnetic fields and atomic systems.While precise spectroscopic measurements of this effect have advanced significantly,there rema...The Zeeman effect,a fundamental quantum phenomenon,demonstrates the interaction between magnetic fields and atomic systems.While precise spectroscopic measurements of this effect have advanced significantly,there remains a lack of simple,visually accessible demonstration for educational purposes.Here,we present a low-cost experiment that allows for direct visual observation of the Zeeman effect.Our setup involves a flame containing sodium(from table salt)placed in front of a sodium vapor lamp.When a magnetic field is applied to the flame,the shadow cast by the flame noticeably lightens,providing a clear,naked-eye demonstration of the Zeeman effect.Furthermore,we conduct two quantitative experiments using this setup,examining the effects of varying magnetic field strength and sodium concentration.This innovative approach not only enriches the experimental demonstration for teaching atomic physics at undergraduate and high school levels but also provides an open platform for students to explore the Zeeman effect through hands-on experience.展开更多
文摘Multipotent stromal cells,otherwise known as mesenchymal stem cells(MSCs),have been widely studied for their regenerative potential across multiple tissues,including the nervous system(Caplan,2017).Reports suggesting that MSCs can differentiate into neurons and glia spurred optimism towards their future therapeutic application in nervous system disorders.Despite extensive research,however,the precise cellular mechanisms underlying their neural differentiation potential are unclear(George et al.,2019).
文摘Dear Editors,This letter,reflecting on my research career,is dedi-cated to Professor Qingshi Zhu for his 80th Birthday.Part of this letter is based on my comment“A 20-year journey on the invention of vibrational photothermal microscopy”published in the May 2025 Nature Meth-ods Focus Issue on Bond-Selective Imaging[1].
基金the Deanship of Research and Graduate Studies at King Khalid University,KSA,for funding this work through the Large Research Project under grant number RGP2/164/46.
文摘Background:Stomach cancer(SC)is one of the most lethal malignancies worldwide due to late-stage diagnosis and limited treatment.The transcriptomic,epigenomic,and proteomic,etc.,omics datasets generated by high-throughput sequencing technology have become prominent in biomedical research,and they reveal molecular aspects of cancer diagnosis and therapy.Despite the development of advanced sequencing technology,the presence of high-dimensionality in multi-omics data makes it challenging to interpret the data.Methods:In this study,we introduce RankXLAN,an explainable ensemble-based multi-omics framework that integrates feature selection(FS),ensemble learning,bioinformatics,and in-silico validation for robust biomarker detection,potential therapeutic drug-repurposing candidates’identification,and classification of SC.To enhance the interpretability of the model,we incorporated explainable artificial intelligence(SHapley Additive exPlanations analysis),as well as accuracy,precision,F1-score,recall,cross-validation,specificity,likelihood ratio(LR)+,LR−,and Youden index results.Results:The experimental results showed that the top four FS algorithms achieved improved results when applied to the ensemble learning classification model.The proposed ensemble model produced an area under the curve(AUC)score of 0.994 for gene expression,0.97 for methylation,and 0.96 for miRNA expression data.Through the integration of bioinformatics and ML approach of the transcriptomic and epigenomic multi-omics dataset,we identified potential marker genes,namely,UBE2D2,HPCAL4,IGHA1,DPT,and FN3K.In-silico molecular docking revealed a strong binding affinity between ANKRD13C and the FDA-approved drug Everolimus(binding affinity−10.1 kcal/mol),identifying ANKRD13C as a potential therapeutic drug-repurposing target for SC.Conclusion:The proposed framework RankXLAN outperforms other existing frameworks for serum biomarker identification,therapeutic target identification,and SC classification with multi-omics datasets.
文摘Malignant melanoma(MM)is a highly aggressive skin cancer known for its rapid progression,potential for metastasis,and resistance to treatment.Despite advances in targeted therapies and immunotherapy,the prognosis for metastatic melanoma remains unfavorable.Recent research has shed light on the significance of epigenetic modifications in the pathogenesis of melanoma,revealing critical mechanisms of melanoma development and progression.Epigenetic modifications,including DNA and RNA modifications,histone modifications,chromatin remodeling,and non-coding RNA regulation,disrupt normal gene expression without modifying the DNA sequence,leading to cellular transformation,invasion,immune evasion,and therapeutic resistance.The reversible nature of epigenetic modifications opens up new opportunities for melanoma recognition and classification,as well as therapeutic applications,including the development of diagnostic and prognostic biomarkers and innovative targeted therapies aimed at restoring normal gene function and enhancing the efficacy of existing treatments.This review will focus on the multifaceted role of epigenetic dysregulation in melanoma.The future integration of epigenetic data and genomic profiling with clinical outcomes,likely facilitated by artificial intelligence(AI)algorithms,holds promise for personalized treatment strategies that are informed by precise and combinatorial diagnostic tools,ultimately improving melanoma care.The study aims to deliver a comprehensive overview of the current state of epigenetics in melanoma.
基金support from the National Key R&D Program of China(Grant No.2020YFB1711100).
文摘To address the issue of abnormal energy consumption fluctuations in the converter steelmaking process,an integrated diagnostic method combining the gray wolf optimization(GWO)algorithm,support vector machine(SVM),and K-means clustering was proposed.Eight input parameters—derived from molten iron conditions and external factors—were selected as feature variables.A GWO-SVM model was developed to accurately predict the energy consumption of individual heats.Based on the prediction results,the mean absolute percentage error and maximum relative error of the test set were employed as criteria to identify heats with abnormal energy usage.For these heats,the K-means clustering algorithm was used to determine benchmark values of influencing factors from similar steel grades,enabling root-cause diagnosis of excessive energy consumption.The proposed method was applied to real production data from a converter in a steel plant.The analysis reveals that heat sample No.44 exhibits abnormal energy consumption,due to gas recovery being 1430.28 kg of standard coal below the benchmark level.A secondary contributing factor is a steam recovery shortfall of 237.99 kg of standard coal.This integrated approach offers a scientifically grounded tool for energy management in converter operations and provides valuable guidance for optimizing process parameters and enhancing energy efficiency.
基金supported by funding from the U.S.Department of Defense,Nos.W911NF-23-1-0276,W81XWH2211065the NIH,No.P41EB027062(all to DLK).
文摘Traumatic brain injury causes permanent cell death and can lead to long-term cognitive dysfunction,with no available treatments to repair the damaged brain tissue.Methods to track and understand traumatic brain injury in humans are severely limited by the inaccessibility of living brain tissue,creating a need for in vitro model systems to study cellular mechanisms of degeneration and regeneration following injury.Here we describe methods to establish a 3D human brain tissue model,consisting of a silk-collagen composite scaffold seeded with human neurons,astrocytes,and microglia,to study neuro-regeneration after traumatic brain injury.Step-by-step fabrication,injury,and analytical assessments of the 3D“triculture”system are described.Using this tissue model system,we demonstrate that glial cells promote regeneration of neuronal networks within the injury site over several weeks post-injury.Further,we found that regenerating networks in the 3D triculture tissues did not secrete early markers of neurodegenerative disease,but displayed signs of excitatory/inhibitory imbalance,suggesting that pro-regenerative treatments for traumatic brain injury in the future may need to direct cell differentiation to promote proper function.The mechanical stability of this model system enables physiologically relevant impact injury and long-term culture capability,while its modular design enables modification of cell contents,extracellular matrix composition,and scaffold properties.This adaptability could allow the integration of patient-derived cells and genetic modifications to bridge research and clinical applications focused on personalized targeted therapies.This in vitro system provides a valuable platform for accelerating therapeutic advancements in traumatic brain injury and neurodegenerative disorders,ultimately improving patient outcomes.
基金supported by grants from NIH T32(DK007260,to WC)the Steno North American Fellowship awarded by the Novo Nordisk Foundation(NNF23OC0087108,to WC).
文摘The shared links between Alzheimer’s disease and type 2 diabetes mellitus:Alzheimer’s disease(AD)and type 2 diabetes mellitus(T2DM)are two prevalent conditions that come with substantial daily struggles.Emerging evidence highlights that these diseases share similar pathophysiological features,including insulin resistance and chronic inflammation,which contribute to their rapid progression(Chen et al.,2022).Insulin resistance,a hallmark of T2DM,has been suggested to exacerbate neurodegeneration in AD.Similarly,chronic low-grade inflammation in T2DM parallels with neuroinflammation,which is observed in AD,suggesting overlapping pathophysiological mechanisms in T2DM and AD.
文摘BACKGROUND Medial dished(MD)liner designs for cruciate-retaining(CR)total knee arthroplasty(TKA)are a relatively novel development.MD tibial inserts have a more constraining medial side,which allows for more similar kinematics and function to a native knee.AIM To evaluate the clinical results and patient-reported outcomes after CR TKA procedures utilizing a kinematically designed medial dish system.METHODS A multicenter,retrospective cohort review of 139 primary elective TKAs utilizing a kinematically designed CR Knee System(JOURNEY™II CR MD;Smith and Nephew,Memphis,TN,United States)at three different institutions with a minimum of two years of follow-up.Demographic information,clinical outcomes,and patient-reported outcome measures were collected and analyzed.RESULTS With up to 3.7 years from surgery,overall implant survivorship was 98.6%.There were significant postoperative increases in the average Knee Injury and Osteoarthritis Outcome Score for Joint Replacement scores(17.4 at 6 months,26.1 points at two years or more,P<0.001).CONCLUSION The combination of high implant survivorship and substantial improvements in patient-reported outcome measures suggests that the medial dish tibial insert represents a safe and effective option within TKA.Additional investigation is necessary to evaluate the long-term survivorship of this design.
文摘Wound management continues to present major clinical challenges,often necessitating therapeutic strategies that extend beyond conventional dressings,which provide only passive protection.Magnesium(Mg),a biologically indispensable element,has attracted considerable attention for its multifaceted role in wound repair,including modulation of inflammatory responses,stimulation of fibroblast and keratinocyte proliferation,promotion of angiogenesis,and enhancement of collagen synthesis.However,the direct application of Mg formulations is limited by uncontrolled Mg ion(Mg^(2+))release,localized cytotoxicity at elevated concentrations,and inadequate mechanical stability at the wound site.To address these challenges,Mg-incorporated polymeric scaffolds have been developed as advanced delivery platforms.These systems integrate the regenerative capacity of Mg with the tunable properties of polymers,enabling controlled degradation,mechanical reinforcement,and sustained Mg^(2+)release to establish a favorable microenvironment for tissue repair.This review critically examines the role of Mg in wound healing and the effectiveness of polymeric matrices for controlled Mg^(2+)delivery.It further provides a comprehensive evaluation of recent advances in Mg-incorporated polymeric scaffolds,including nanofibers,hydrogels,and sponges,with emphasis on fabrication strategies,structural characteristics,and therapeutic efficacy.Key challenges,such as optimizing ion release kinetics,enhancing scaffold stability,and facilitating clinical translation,are also discussed.Collectively,this work underscores the potential of Mg-polymeric scaffolds as a next-generation platform for advanced wound care and highlights perspectives for future research and development.
基金supported by Texas Alzheimer’s Research and Care Consortium-TARCC 2022-26,The National Football League Players Association-NFLPA,NIH/NIA Grant 1R01 AG072491 to TB and FDP.
文摘Neuroinflammation is a crucial factor in the progression of various diseases,ranging from immune-related conditions such as sepsis to neurodegenerative disorders such as Alzheimer’s disease(AD)(Ravichandran and Heneka,2024).This perspective article,which draws on insights from diverse fields including neuroscience,immunology,and pathology,p rovides a critical analysis of ongoing research efforts in inflammasome biology,with specific emphasis on Nod-like receptor(NLR)and pyrin domain-containing protein 3(NLRP3).
基金supported by the National Natural Science Foundation of China(Grant Nos.52208424,52208416,52078091,and 52108399)the Shanghai Municipal Science and Technology Major Project(Grant No.2021SHZDZX0102).
文摘Graph neural networks(GNNs)have shown notable success in identifying security vulnerabilities within Ethereum smart contracts by capturing structural relationships encoded in control-and data-flow graphs.Despite their effectiveness,most GNN-based vulnerability detectors operate as black boxes,making their decisions difficult to interpret and thus less suitable for critical security auditing.The information bottleneck(IB)principle provides a theoretical framework for isolating task-relevant graph components.However,existing IB-based implementations often encounter unstable optimization and limited understanding of code semantics.To address these issues,we introduce ContractGIB,an interpretable graph information bottleneck framework for function-level vulnerability analysis.ContractGIB introduces three main advances.First,ContractGIB introduces an Hilbert–Schmidt Independence Criterion(HSIC)based estimator that provides stable dependence measurement.Second,it incorporates a CodeBERT semantic module to improve node representations.Third,it initializes all nodes with pretrained CodeBERT embeddings,removing the need for hand-crafted features.For each contract function,ContractGIB identifies themost informative nodes forming an instance-specific explanatory subgraph that supports the model’s prediction.Comprehensive experiments on public smart contract datasets,including ESC andVSC,demonstrate thatContractGIB achieves superior performance compared to competitive GNN baselines,while offering clearer,instance-level interpretability.
基金supported by the NIA/NIH(1K01AG060040).Studies performed by JN were funded by the NICHD/NIH(5R00HD096117)Microscopy Core Facility supported,in part,with funding from NIH-NCI Cancer Center Support Grant P30 CA016059.
文摘Alzheimer’s disease is initially thought to be caused by age-associated accumulation of plaques,in recent years,research has increasingly associated Alzheimer’s disease with lysosomal storage and metabolic disorders,and the explanation of its pathogenesis has shifted from amyloid and tau accumulation to oxidative stress and impaired lipid and glucose metabolism aggravated by hypoxic conditions.However,the underlying mechanisms linking those cellular processes and conditions to disease progression have yet to be defined.Here,we applied a disease similarity approach to identify unknown molecular targets of Alzheimer’s disease by using transcriptomic data from congenital diseases known to increase Alzheimer’s disease risk,namely Down syndrome,Niemann-Pick type C disease,and mucopolysaccharidoses I.We uncovered common pathways,hub genes,and miRNAs across in vitro and in vivo models of these diseases as potential molecular targets for neuroprotection and amelioration of Alzheimer’s disease pathology,many of which have never been associated with Alzheimer’s disease.We then investigated common molecular alterations in brain samples from a Niemann-Pick type C disease mouse model by juxtaposing them with brain samples of both human and mouse models of Alzheimer’s disease.Detailed phenotypic,molecular,chronological,and biological aging analyses revealed that the Npc1tm(I1061T)Dso mouse model can serve as a potential short-lived in vivo model for brain aging and Alzheimer’s disease research.This research represents the first comprehensive approach to congenital disease association with neurodegeneration and a new perspective on Alzheimer’s disease research while highlighting shortcomings and lack of correlation in diverse in vitro models.Considering the lack of an Alzheimer’s disease mouse model that recapitulates the physiological hallmarks of brain aging,the short-lived Npc1^(tm(I1061T)Dso) mouse model can further accelerate the research in these fields and offer a unique model for understanding the molecular mechanisms of Alzheimer’s disease from a perspective of accelerated brain aging.
文摘Our purpose in this paper is to describe the hamster-like rodents(Cricetidae)from a Late Miocene age site in Linxia Basin,Gansu Province,and discuss their significance for the changing ecology of central Asia.The micromammal site known as Yihachi was introduced previously(Qiu et al.,2023;Qiu and Li,2023),when its squirrels were discussed in some detail.We take this opportunity to describe the more abundant cricetids.There are four genera,common Nannocricetus and Sinocricetus plus the less abundant living Mesocricetus.A few specimens represent the high-crowned and lophodont Rhinocerodon.The cricetids and other faunal elements indicate an early Late Miocene age,and the pattern of occurrence of the hamster species is consistent with a picture of a changing paleoenvironment due to increasing effects of the East Asia monsoon system.After the disappearance of older and archaic genera,Yihachi represents growing endemism in the Late Miocene of northern China due to increasing seasonal rain and the declining average temperature.
文摘In Alzheimer’s disease,perturbations of glutamate neurotransmission lead to synaptic dysfunction and synapse loss.Several studies have used glutamate transport inhibitors to demonstrate that soluble oligomers of amyloid-βinduce synaptic dysfunction by interrupting glutamate uptake mediated by glutamate transporter 1,the major glutamate transporter in the brain.The cellular targets of the synaptic effects of soluble amyloid-βoligomers,including the nature of any interaction with glutamate transporter 1,remain ill-defined.We have generated a conditional glutamate transporter 1 knockout mouse to investigate cell-type specific functions of glutamate transporter 1.Field excitatory postsynaptic potentials were examined in the CA1 region of mouse hippocampal slices.We confirmed that hippocampal long-term potentiation impairment is induced by both soluble amyloid-β oligomers and glutamate uptake inhibitors.Amyloid-βoligomers,including those isolated directly from the cortex of patients with Alzheimer’s disease,failed to inhibit hippocampal long-term potentiation in neuronal glutamate transporter 1 but not astrocytic glutamate transporter 1 knockout mice.The masking or occlusion of the effect of soluble amyloid-β oligomers by knockout of glutamate transporter 1 in neurons suggests that the metabolic or signaling consequences of knockout of glutamate transporter 1 in neurons and amyloid-βoligomer inhibition of synaptic plasticity show epistasis and thus share a similar molecular pathway.To extend these observations,we tested the effects of other types of manipulation of glutamate homeostasis on synaptic plasticity and the pathophysiology of soluble amyloid-β oligomers.Ceftriaxone,which upregulates glutamate transporter 1 levels,among other effects,prevented the impairment of long-term potentiation by soluble amyloid-β oligomers.Collectively,our findings suggest that the effects of amyloid-βon synaptic function are highly dependent on glutamate reuptake homeostasis and that the disruption of synaptic function by soluble amyloid-β oligomers is mediated by pathways linked to neuronal,not astrocytic,glutamate transporter 1.The findings of this study highlight the translational potential of targeting neuronal glutamate transporter 1 to counteract amyloid-β-induced synaptic dysfunction in Alzheimer’s disease.By showing that glutamate transporter 1 upregulation(e.g.,via ceftriaxone)can prevent amyloid-β-related impairments,this research supports developing therapies aimed at modulating glutamate homeostasis to preserve synaptic function and combat cognitive decline in patients with Alzheimer’s disease.
基金supported by the National Natural Science Foundation of China(52074004 and 51604003)Anhui Provincial Natural Science Foundation(2508085Y032).
文摘Acid is commonly used to separate phosphorus-containing solid solutions from steelmaking slag.However,the acid leaching solution obtained from this process cannot be directly utilized and thus requires purification.The effect of different conditions on the calcium and iron removal characteristics of modified steelmaking slag leaching solution was investigated.Additionally,the removal mechanism was analyzed by thermodynamic calculations.The results indicated that the addition of soybean straw ash in steelmaking slag modification enabled K_(2)O to enter the phosphorus-containing solid solution,promoting phosphorus enrichment.Valuable elements such as phosphorus and potassium were more easily dissolved in the mixed acid.The oxalic acid concentration had a significant effect on the calcium removal rate,whereas the effects of temperature,stirring rate,and time on the calcium removal rate were minor.The main component of the calcium removal precipitate was CaC_(2)O_(4)·H_(2)O,with a removal rate up to 94.48%.During the iron removal process,when the pH value of the solution was low,Fe^(3+)mainly reacted to form the iron hydroxide precipitate for removal.Increasing the pH value of the solution would cause Fe^(3+)to combine with H_(2)PO_(4)^(-),forming FePO_(4)·2H_(2)O precipitate,leading to a reduction in the phosphorus content of the leaching solution.
基金the financial supports from the National Key Research and Development Program of China(No.2021YFC2901400)he Distinguished Young Research Project of Anhui Higher Education,China(No.2023AH020017)the Xinjiang Tianchi Talent Introduction Plan,China。
文摘The electrochemical separation of Mn(Ⅱ)impurity from molten NaCl-KCl-MgCl_(2)was systematically investigated to facilitate the electrolytic production of high-purity magnesium.The reduction of Mn(Ⅱ)to Mn metal on tungsten electrode was a quasi-reversible process controlled by diffusion.The apparent standard potential and exchange current density of Mn(Ⅱ)/Mn(0)electrode reaction were determined at temperatures ranging from 973 to 1048 K.Solid Mn metal generated during electrolysis aggregated into irregular clumps and adsorbed some needle-like MgO,imposing a detrimental effect on both the aggregation and the purity of magnesium metal.After electrolysis at-1.5 V in molten NaCl-KCl-MgCl_(2)-0.62wt.%MnCl_(2)for 8 h,the concentration of MnCl_(2)impurity decreased to 0.037 wt.%,achieving a removal efficiency of 94.14%.When direct electrolysis was performed in molten NaCl-KCl-MgCl_(2)-0.62wt.%MnCl_(2),the obtained magnesium metal was small blocks with a caviar-like appearance,and the purity was just 98.59%.In contrast,a large globule of magnesium metal was obtained when electrolysis was performed in the purified electrolyte,and its purity was improved to 99.94%.The controlled-potential electrolysis proposed in this work has been verified to be a green and practically effective method to separate the metal ion impurities from molten electrolyte for high purity magnesium extraction.
基金supported by NIH awards R01 DK101043 to LJG and P30 DK036836 to Joslin Diabetes Centersupported by American Diabetes Association Grant No.1-17-PMF-009+1 种基金supported by American Diabetes Association(Grant No.1-25-PDF-67)supported by fellowships from Sunstar Foundation,Japan Society for the Promotion of Science(JSPS),Kanae Foundation,and Meiji Yasuda Life Foundation of Health and Welfare.
文摘Background Maternal obesity during pregnancy can lead to increased risk for metabolic disease in offspring during adulthood,helping fuel the worldwide increase in obesity.Fortunately,studies in rodent models have established that female dams(F0)that perform voluntary wheel running exercise during pregnancy have first-generation(F1)offspring with improved glucose tolerance,suggesting a potential means to reduce the burden of generational metabolic disease transmission.We have shown that maternal exercise also affects F1 male offspring as sires,as their progeny(F2)have similarly improved metabolic health.Whether maternal exercise can affect F1 females in a manner that improves F2 offspring metabolism is not known.Here,we determined whether voluntary exercise by F0 grandmothers,via their F1 female progeny,produced F2 male and female offspring with an improved metabolic phenotype.Methods Six-week-old C57BL/6 N female mice(F0)were fed a chow diet and either kept sedentary or exercise trained by voluntary wheel running for 2 weeks preconception and during pregnancy.Chow-fed sedentary F1 female offspring at 8 weeks of age were bred with age-matched untreated virgin males to generate F2 offspring.F2 were kept sedentary and chow fed and studied up to 52 weeks of age.Metabolic parameters were assessed,including food intake,body weight,body composition,glucose tolerance,systemic glucose and insulin levels,and liver metabolism.Results Grandmaternal exercise did not significantly alter male and female F2 offspring body weights measured throughout the first year of life,nor was there an effect of grandmaternal exercise on F2 offspring fat mass or lean mass.Remarkably,despite the lack of effect on body weight parameters,grandmaternal exercise resulted in improved glucose tolerance and homeostatic model assessment for insulin resistance(HOMA-IR)in F2 offspring at 52 weeks of age,effects that were more pronounced in male F2 offspring.Conclusion Voluntary wheel running exercise in female mice during pregnancy leads to metabolic improvements in her grand offspring,despite no direct intervention of the intermediate maternal generation.Maternal physical activity during pregnancy may reduce metabolic diseases in later generations.
基金Project supported by the Natural Science Foundation of Anhui Provincial Education Department(Grant No.KJ2019A0054)。
文摘NaNbO_(3)-based lead-free dielectric ceramics possess significant application prospects in the field of dielectric capacitors.However,their development is hindered by low recoverable energy storage density(W_(rec))and energy storage efficiency(η).Herein,novel NaNbO_(3)-based ceramics,(1-x)[0.7Na_(0.97)Sm_(0.01)NbO_(3)–0.3(Sr_(0.7)Bi_(0.2))(Ti_(0.8)Zr_(0.2))O_(3)]–xCaTiO_(3),were created by adding CaTiO_(3) linear dielectric,aiming to improve their energy storage performance(ESP).The phase structure,microstructure,dielectric properties,energy storage and charge–discharge performances of the ceramics were methodically analyzed.All components of the ceramics exhibit a perovskite structure consisting of two phases:antiferroelectric P-phase(AFE P)and antiferroelectric R-phase(AFE R),with the AFE R phase increasing as x rises.All ceramic surfaces exhibit clear grain morphology.The resultant ceramics have an appropriate dielectric constant and a small dielectric loss,which are beneficial for improving breakdown field strength(E_(b)).Finally,at an E_(b) of 470 kV/cm,0.85[0.7Na_(0.97)Sm_(0.01)NbO_(3)–0.3(Sr_(0.7)Bi_(0.2))(Ti_(0.8)Zr_(0.2))O_(3)]–0.15CaTiO_(3) ceramic achieves optimal ESP:W_(rec)=3.9 J/cm^(3),η=72.49%.In addition,it has remarkable stability with temperature and frequency in energy storage and displays ultrafast speed in the charge–discharge process(t_(0.9)=27 ns).
文摘Understanding how aging influences the thermal hazards of lithium-ion batteries(LIBs)is critical for enhancing their safety across a wide range of applications.This study systematically investigates the thermal runaway(TR)behavior of LIBs,with particular emphasis on combined-pathway aging,evaluated in terms of normalized usable capacity(U_(E)).Key thermal safety parameters,i.e.,TR triggering temperature,mass loss,and heat generation under diverse aging conditions,are quantified.To enable a fair comparison,thermal hazards are evaluated based on equivalent usable capacity,revealing that aged cells exhibit lower TR triggering temperatures and higher heat generation than fresh cells under thermal abuse with elevated thermal risks.Mechanistic analysis identifies lithium plating,solid electrolyte interphase(SEI)formation,and lithium depletion,particularly under high-temperature charging,as the dominant contributors to increased hazard.Using an aging-stressor matrix,a trade-off between high-C-rateinduced thermal instability and high-temperature-induced thermal stability is discovered and quantified,underscoring the strong dependence of thermal hazards on specific aging pathways.This work advances the fundamental understanding of aging-induced safety risks in LIBs and offers practical guidance for the development of safer battery systems,optimized charging protocols,and improved battery management strategies across applications in electric vehicles,consumer electronics,and grid-scale energy storage.
基金the National Natural Science Foundation of China for support under grant No.12305037the Fundamental Research Funds for the Central Universities under grant No.2023NTST017。
文摘The Zeeman effect,a fundamental quantum phenomenon,demonstrates the interaction between magnetic fields and atomic systems.While precise spectroscopic measurements of this effect have advanced significantly,there remains a lack of simple,visually accessible demonstration for educational purposes.Here,we present a low-cost experiment that allows for direct visual observation of the Zeeman effect.Our setup involves a flame containing sodium(from table salt)placed in front of a sodium vapor lamp.When a magnetic field is applied to the flame,the shadow cast by the flame noticeably lightens,providing a clear,naked-eye demonstration of the Zeeman effect.Furthermore,we conduct two quantitative experiments using this setup,examining the effects of varying magnetic field strength and sodium concentration.This innovative approach not only enriches the experimental demonstration for teaching atomic physics at undergraduate and high school levels but also provides an open platform for students to explore the Zeeman effect through hands-on experience.
