Oil-fired construction machinery(OCM)is a major source of urban air pollutants and CO_(2) emissions,and elec-trification is a crucial pathway for improving air quality and achieving China’s dual carbon goals;however,...Oil-fired construction machinery(OCM)is a major source of urban air pollutants and CO_(2) emissions,and elec-trification is a crucial pathway for improving air quality and achieving China’s dual carbon goals;however,its feasibility has not been fully explored.This study uses data envelopment analysis and the analytic hierarchy process to establish a development potential index,covering technical efficiency,economic cost,application sce-narios,and charging time and range,with an empirical analysis conducted in Beijing.The findings indicated the high feasibility of replacing OCM with electric alternatives,especially within the low-power range.Based on 2023 registered coding dat1,it is projected that by 2030,electrification could reduce regional average con-centrations of CO,NO_(x),PM_(2.5) and VOCs by 12.2%to 56.4%and reduce CO_(2) by 11.7%to 56.9%.Owing to economic considerations,small-and medium-sized machinery are particularly feasible for electrification.Key recommendations include prioritizing the electrification of forklifts,lifting platforms,and small-sized machinery in high-emission areas,particularly in central urban districts.Policies such as carbon taxes,carbon markets,and performance grading systems are suggested to incentivize electrification,along with expanding high-emission restriction zones and improving energy infrastructure to support widespread electrification.展开更多
OBJECTIVE: To evaluate the effects that inhalation of the combustion products of the traditional Chinese herb Aiye(Folium Artemisiae Argyi) has on the central nervous system.METHODS: Forty Kunming mice(half male) were...OBJECTIVE: To evaluate the effects that inhalation of the combustion products of the traditional Chinese herb Aiye(Folium Artemisiae Argyi) has on the central nervous system.METHODS: Forty Kunming mice(half male) were randomly assigned(n = 10/group) to a control group(C) or one of three moxa smoke concentration groups(% opacity): low(L1; 0.4%), medium(M1; 2%), and high(H1; 15%). Mice in the latter three groups were exposed to moxa smoke in a dynamic gas exposure cabinet for 20 min per day for7 days. Mice in control group were placed in the same cabinet without any intervention. For the sleep experiments, another 50 mice were divided into five groups of 10 mice each: a saline-injected control group, L1 + pentobarbital sodium(PS)-injected group, M1+PS group, H1(15%)+PS group,and a positive control group(10 mg/kg, chlorpromazine, p.o.). The weight, general activities, locomotor activities, rotarod performance, sleep duration,and sleeping rate induced by a subthreshold dose of pentobarbital sodium were recorded in the mice,and the composition of moxa smoke was analyzed using headspace gas chromatography(GC-HS).RESULTS: A low concentration of smoke significantly decreased the frequency of locomotor activities and the time for which the mice remaining on the rotarod; however, a high smoke concentration significantly prolonged the pentobarbital-induced sleeping time and sleeping rate.CONCLUSION: The concentration-dependent relaxing effects of moxa smoke on the Central Nervous System(CNS) were confirmed. Moreover, GC-HS analysis showed that the component present in the highest concentration in moxa smoke was eucalyp-tol, an essential oil well recognized for its soothing effects on the CNS. This may therefore be accountable for the sedative effects of moxa smoke.展开更多
Phase engineering of molybdenum disulfide(MoS_(2))can achieve phase transformation from the semiconducting phase(2H-MoS_(2))with poor conductivity to the metallic phase(1T-MoS_(2))with superior electrochemical propert...Phase engineering of molybdenum disulfide(MoS_(2))can achieve phase transformation from the semiconducting phase(2H-MoS_(2))with poor conductivity to the metallic phase(1T-MoS_(2))with superior electrochemical properties.Therefore,it is desirable to prepare high concentration 1T-MoS_(2)by simple and facile methods.In this work,MoS_(2)with high concentration of 1T phase is successfully prepared by one-pot hydrothermal synthesis through the synergistic effect of HNO_(3)and CH_(3)CH_(2)OH,which is stable for more than half of a year.The as-synthesized MoS_(2)shows high capacitance of 392Fg^(-1)at 1A g^(-1)as used for supercapacitors electrodes,and displays excellent capacitance retention(83%after 10,000 cycles).Asymmetric supercapacitors(ASCs)devices assembled by the as-synthesized MoS_(2)and MnO_(2)on carbon cloths,exhibit high energy and power densities(0.194 m Wh cm^(-2)and 13.466 mW cm^(-2)).These results shed a light to realize 1T phase MoS_(2)through the synergistic effect in hydrothermal processing.展开更多
To address the problems of low accuracy by the CONWEP model and poor efficiency by the Coupled Eulerian-Lagrangian(CEL)method in predicting close-range air blast loads of cylindrical charges,a neural network-based sim...To address the problems of low accuracy by the CONWEP model and poor efficiency by the Coupled Eulerian-Lagrangian(CEL)method in predicting close-range air blast loads of cylindrical charges,a neural network-based simulation(NNS)method with higher accuracy and better efficiency was proposed.The NNS method consisted of three main steps.First,the parameters of blast loads,including the peak pressures and impulses of cylindrical charges with different aspect ratios(L/D)at different stand-off distances and incident angles were obtained by two-dimensional numerical simulations.Subsequently,incident shape factors of cylindrical charges with arbitrary aspect ratios were predicted by a neural network.Finally,reflected shape factors were derived and implemented into the subroutine of the ABAQUS code to modify the CONWEP model,including modifications of impulse and overpressure.The reliability of the proposed NNS method was verified by related experimental results.Remarkable accuracy improvement was acquired by the proposed NNS method compared with the unmodified CONWEP model.Moreover,huge efficiency superiority was obtained by the proposed NNS method compared with the CEL method.The proposed NNS method showed good accuracy when the scaled distance was greater than 0.2 m/kg^(1/3).It should be noted that there is no need to generate a new dataset again since the blast loads satisfy the similarity law,and the proposed NNS method can be directly used to simulate the blast loads generated by different cylindrical charges.The proposed NNS method with high efficiency and accuracy can be used as an effective method to analyze the dynamic response of structures under blast loads,and it has significant application prospects in designing protective structures.展开更多
Hepatology encompasses various aspects,such as metabolic-associated fatty liver disease,viral hepatitis,alcoholic liver disease,liver cirrhosis,liver failure,liver tumors,and liver transplantation.The global epidemiol...Hepatology encompasses various aspects,such as metabolic-associated fatty liver disease,viral hepatitis,alcoholic liver disease,liver cirrhosis,liver failure,liver tumors,and liver transplantation.The global epidemiological situation of liver diseases is grave,posing a substantial threat to human health and quality of life.Characterized by high incidence and mortality rates,liver diseases have emerged as a prominent global public health concern.In recent years,the rapid advan-cement of artificial intelligence(AI),deep learning,and radiomics has transfor-med medical research and clinical practice,demonstrating considerable potential in hepatology.AI is capable of automatically detecting abnormal cells in liver tissue sections,enhancing the accu-racy and efficiency of pathological diagnosis.Deep learning models are able to extract features from computed tomography and magnetic resonance imaging images to facilitate liver disease classification.Machine learning models are capable of integrating clinical data to forecast disease progression and treatment responses,thus supporting clinical decision-making for personalized medicine.Through the analysis of imaging data,laboratory results,and genomic information,AI can assist in diagnosis,forecast disease progression,and optimize treatment plans,thereby improving clinical outcomes for liver disease patients.This minireview intends to comprehensively summarize the state-of-the-art theories and applications of AI in hepatology,explore the opportunities and challenges it presents in clinical practice,basic research,and translational medicine,and propose future research directions to guide the advancement of hepatology and ultimately improve patient outcomes.展开更多
Intervertebral disc degeneration is a leading cause of lower back pain and is characterized by pathological processes such as nucleus pulposus cell apoptosis,extracellular matrix imbalance,and annulus fibrosus rupture...Intervertebral disc degeneration is a leading cause of lower back pain and is characterized by pathological processes such as nucleus pulposus cell apoptosis,extracellular matrix imbalance,and annulus fibrosus rupture.These pathological changes result in disc height loss and functional decline,potentially leading to disc herniation.This comprehensive review aimed to address the current challenges in intervertebral disc degeneration treatment by evaluating the regenerative potential of stem cell-based therapies,with a particular focus on emerging technologies such as exosomes and gene vector systems.Through mechanisms such as differentiation,paracrine effects,and immunomodulation,stem cells facilitate extracellular matrix repair and reduce nucleus pulposus cell apoptosis.Despite recent advancements,clinical applications are hindered by challenges such as hypoxic disc environments and immune rejection.By analyzing recent preclinical and clinical findings,this review provided insights into optimizing stem cell therapy to overcome these obstacles and highlighted future directions in the field.展开更多
Anion exchange membrane fuel cells(AEMFCs),regarded as a promising alternative to proton exchange membrane fuel cells(PEMFCs),have garnered increasing attention because of their cost-effectiveness by using the non-nob...Anion exchange membrane fuel cells(AEMFCs),regarded as a promising alternative to proton exchange membrane fuel cells(PEMFCs),have garnered increasing attention because of their cost-effectiveness by using the non-noble metal catalysts and hydrocarbon-based ionomers as membrane[1].However,despite of extensive researches on non-noble metal catalysts such as Co[2].展开更多
Tendon-bone healing remains a significant clinical challenge due to the high risk of re-rupture following injury.While mesenchymal stem cells(MSCs)show great potential in enhancing tendon-bone healing,their clinical a...Tendon-bone healing remains a significant clinical challenge due to the high risk of re-rupture following injury.While mesenchymal stem cells(MSCs)show great potential in enhancing tendon-bone healing,their clinical application is limited by issues such as low delivery efficiency,restricted differentiation potential,and potential immunogenicity.Recently,various strategies combining MSCs with other approaches,such as preconditioning,biomaterial integration,gene modification,and exosome application,have been developed,resulting in improved therapeutic outcomes.This review explored the current methods used to optimize MSC therapy for tendon-bone healing,examining the advantages,disadvantages,and underlying mechanisms of each approach,providing a foundation for future research and clinical applications.展开更多
The effective detection of trace methyl mercaptan(CH_(3)SH)with low power consumption is crucial for assessing air quality and facilitating non-invasive diagnosis of diseases such as periodontitis.Herein,we synthesize...The effective detection of trace methyl mercaptan(CH_(3)SH)with low power consumption is crucial for assessing air quality and facilitating non-invasive diagnosis of diseases such as periodontitis.Herein,we synthesized a ternary CeO_(2)-ZnO-Ag nanocomposite by a simple sol-gel one-step method,which shows the capability of monitoring ppb-level CH_(3)SH under room temperature.The incorporation of Ag significantly reduces the particle size and increases the ratio of Ce^(3+)as well as oxygen vacancy.Furthermore,Ag nanoparticles improve light utilization efficiency in CeO_(2)-ZnO composites in favor of the separation of photo-generated charge carriers.The sensor based on the nanocomposites with 2 mol%Ag exhibits an exceptional response of 1.21 towards 50 ppb CH3SH at room temperature under photoassisted excitation(395 nm).Moreover,it shows a stable detection even in an environment with 57.6% humidity and high selectivity towards CH_(3)SH gas.The gas sensing mechanism study indicates that the enhancement in perfo rmance is prima rily attributed to an increased number of oxygen vacancies and the spillover effect of Ag,ultimately leading to an augmented reaction rate of CH_(3)SH on the surface of the sensing material.This work demonstrates that the optimized CeO_(2)-ZnO-Ag nanocomposites hold great promise for highly selective and sensitive detection of trace CH_(3)SH gas under specific humidity conditions.展开更多
Objective Patients with severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)infection frequently develop central nervous system damage,yet the mechanisms driving this pathology remain unclear.This study investi...Objective Patients with severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)infection frequently develop central nervous system damage,yet the mechanisms driving this pathology remain unclear.This study investigated the primary pathways and key factors underlying brain tissue damage induced by the SARS-CoV-2 beta variant(lineage B.1.351).Methods K18-hACE2 and C57BL/6 mice were intranasally infected with the SARS-CoV-2 beta variant.Viral replication,pathological phenotypes,and brain transcriptomes were analyzed.Gene Ontology(GO)analysis was performed to identify altered pathways.Expression changes of host genes were verified using reverse transcription-quantitative polymerase chain reaction and Western blot.Results Pathological alterations were observed in the lungs of both mouse strains.However,only K18-hACE2 mice exhibited elevated viral RNA loads and infectious titers in the brain at 3 days post-infection,accompanied by neuropathological injury and weight loss.GO analysis of infected K18-hACE2 brain tissue revealed significant dysregulation of genes associated with innate immunity and antiviral defense responses,including type I interferons,pro-inflammatory cytokines,Toll-like receptor signaling components,and interferon-stimulated genes.Neuroinflammation was evident,alongside activation of apoptotic and pyroptotic pathways.Furthermore,altered neural cell marker expression suggested viral-induced neuroglial activation,resulting in caspase 4 and lipocalin 2 release and disruption of neuronal molecular networks.Conclusion These findings elucidate mechanisms of neuropathogenicity associated with the SARS-CoV-2 beta variant and highlight therapeutic targets to mitigate COVID-19-related neurological dysfunction.展开更多
This paper investigates the active traveling wave vibration control of an elastic supported rotating porous aluminium conical shell(CS)under impact loading.Piezoelectric smart materials in the form of micro fiber comp...This paper investigates the active traveling wave vibration control of an elastic supported rotating porous aluminium conical shell(CS)under impact loading.Piezoelectric smart materials in the form of micro fiber composites(MFCs)are used as actuators and sensors.To this end,a metal pore truncated CS with MFCs attached to its surface is considered.Adding artificial virtual springs at two edges of the truncated CS achieves various elastic supported boundaries by changing the spring stiffness.Based on the first-order shear deformation theory(FSDT),minimum energy principle,and artificial virtual spring technology,the theoretical formulations considering the electromechanical coupling are derived.The comparison of the natural frequency of the present results with the natural frequencies reported in previous literature evaluates the accuracy of the present approach.To study the vibration control,the integral quadrature method in conjunction with the differential quadrature approximation in the length direction is used to discretize the partial differential dynamical system to form a set of ordinary differential equations.With the aid of the velocity negative feedback method,both the time history and the input control voltage on the actuator are demonstrated to present the effects of velocity feedback gain,pore distribution type,semi-vertex angle,impact loading,and rotational angular velocity on the traveling wave vibration control.展开更多
为研究电子束退火对Li-N共掺杂Zn O薄膜性能的影响,首先利用溶胶-凝胶旋涂法在p型Si(111)衬底上制备Li-N共掺杂的Zn O前驱膜,然后用电子束对前驱膜进行退火。退火时,电子束加速电压10 k V,退火时间5 min,聚焦束流123 m A,束流为0.7~1.9 ...为研究电子束退火对Li-N共掺杂Zn O薄膜性能的影响,首先利用溶胶-凝胶旋涂法在p型Si(111)衬底上制备Li-N共掺杂的Zn O前驱膜,然后用电子束对前驱膜进行退火。退火时,电子束加速电压10 k V,退火时间5 min,聚焦束流123 m A,束流为0.7~1.9 m A,最后得到Li-N共掺杂的Zn O薄膜。XRD谱分析表明,当束流高于1.5 m A之后,薄膜为六方Zn O和立方Zn O的混合多晶薄膜,且有金属Zn生成,导致薄膜有较强的绿光发射。SEM图片分析显示,薄膜的晶粒尺寸随束流增加而增大,当束流高于1.5 m A后,晶粒尺寸变化不大,约为60 nm。光致发光(PL)谱和激光拉曼谱的分析结果证实Li、N元素已掺入Zn O晶格中,PL谱中观察到Li元素掺杂引起的紫光发射,拉曼散射光谱中观察到N替代O位的缺陷振动模式。展开更多
目的:观察益气养阴化浊通络方对高糖诱导的小鼠肾足细胞自噬相关蛋白5(autophagy-related protein 5,ATG5)、B细胞淋巴瘤-2蛋白相互作用中心卷曲螺旋蛋白1(B-cell lymphoma-2-interacting myosin-like coiled-coil protein 1,Beclin-1)...目的:观察益气养阴化浊通络方对高糖诱导的小鼠肾足细胞自噬相关蛋白5(autophagy-related protein 5,ATG5)、B细胞淋巴瘤-2蛋白相互作用中心卷曲螺旋蛋白1(B-cell lymphoma-2-interacting myosin-like coiled-coil protein 1,Beclin-1)及B淋巴细胞瘤-2基因/腺病毒E1B相互作用蛋白3(B-cell lymphoma-2/adenovirus E1 B interacting protein 3,BNIP3)表达的影响,探讨其对自噬的作用。方法:选取Wistar大鼠,分别灌胃20,40,80 g·kg^(-1)益气养阴化浊通络方及生理盐水,制备低、中、高浓度含药血清和空白血清。体外培养小鼠肾足细胞,分为正常对照组、高糖组、益气养阴化浊通络方低、中、高剂量组和雷帕霉素组。CCK-8法检测细胞增殖,细胞划痕检测细胞迁移能力,qRT-PCR和Western blot检测微管相关蛋白1轻链3B(microtubule-associated protein 1 light chain 3 B,LC3B)、ATG5、Beclin-1及BNIP3 mRNA和蛋白表达。结果:与空白对照组相比,高糖组足细胞增殖减弱,迁移能力增强,LC3B、ATG5、Beclin-1及BNIP3 mRNA和蛋白表达显著减弱;与HG组相比,益气养阴化浊通络方低、中、高剂量含药血清组及雷帕霉素组均可促进足细胞增殖,抑制足细胞迁移,明显促进LC3B、ATG5、Beclin-1及BNIP3 mRNA和蛋白表达。结论:益气养阴化浊通络方能够促进高糖诱导的小鼠肾足细胞自噬,调节足细胞增殖及迁移。展开更多
生成式人工智能正深刻变革教育,相关研究文献不断涌现。文章通过收集知网、Scopus和Web of Science中与研究主题相关的中英文文献,利用BERTopic主题建模技术对文献进行主题聚类,挖掘国内外高等教育中生成式人工智能的研究主题,分析研究...生成式人工智能正深刻变革教育,相关研究文献不断涌现。文章通过收集知网、Scopus和Web of Science中与研究主题相关的中英文文献,利用BERTopic主题建模技术对文献进行主题聚类,挖掘国内外高等教育中生成式人工智能的研究主题,分析研究现状,为教育领域的教学实践和学术研究提供参考。研究结果表明:在个性化学习与人机协同方面,生成式人工智能通过制定个性化学习路径显著提升教学效果;师生对生成式人工智能的接受程度受技术认知和使用体验等因素制约,并直接影响应用成效;教育创新需平衡技术赋能与过度依赖问题;教学设计与课程实践的革新更多体现在教学模式和资源生成方式上,但必须同步构建学术伦理防护与治理机制;人工智能时代亟须人才培养结构的优化升级,要求教育者重新定义核心能力目标。展开更多
基金supported by the National Science and Technology Major Project of the Ministry of Science and Technology of China(No.2024ZD1200200).
文摘Oil-fired construction machinery(OCM)is a major source of urban air pollutants and CO_(2) emissions,and elec-trification is a crucial pathway for improving air quality and achieving China’s dual carbon goals;however,its feasibility has not been fully explored.This study uses data envelopment analysis and the analytic hierarchy process to establish a development potential index,covering technical efficiency,economic cost,application sce-narios,and charging time and range,with an empirical analysis conducted in Beijing.The findings indicated the high feasibility of replacing OCM with electric alternatives,especially within the low-power range.Based on 2023 registered coding dat1,it is projected that by 2030,electrification could reduce regional average con-centrations of CO,NO_(x),PM_(2.5) and VOCs by 12.2%to 56.4%and reduce CO_(2) by 11.7%to 56.9%.Owing to economic considerations,small-and medium-sized machinery are particularly feasible for electrification.Key recommendations include prioritizing the electrification of forklifts,lifting platforms,and small-sized machinery in high-emission areas,particularly in central urban districts.Policies such as carbon taxes,carbon markets,and performance grading systems are suggested to incentivize electrification,along with expanding high-emission restriction zones and improving energy infrastructure to support widespread electrification.
基金Supported by the National Natural Science Foundation of China:Effect of Moxibustion on"Longevity Gene"SIRT1 Regulation in Aged Mice(No.81403449)NSFC Project:Effect of Moxibustion and its Therapeutic Factors on Mitochondrial Energy Metabolism and Apotosis Pathyway in APP/PS1Transgenic Alzheimer's Disease Mouse Model(No.81574068)National Program on Key Basic Research Project(973 Program):the Study of Components and Mechanisms of Artemisia and the Product and Moxibustion and Safety Evaluation(No.2009CB522906)
文摘OBJECTIVE: To evaluate the effects that inhalation of the combustion products of the traditional Chinese herb Aiye(Folium Artemisiae Argyi) has on the central nervous system.METHODS: Forty Kunming mice(half male) were randomly assigned(n = 10/group) to a control group(C) or one of three moxa smoke concentration groups(% opacity): low(L1; 0.4%), medium(M1; 2%), and high(H1; 15%). Mice in the latter three groups were exposed to moxa smoke in a dynamic gas exposure cabinet for 20 min per day for7 days. Mice in control group were placed in the same cabinet without any intervention. For the sleep experiments, another 50 mice were divided into five groups of 10 mice each: a saline-injected control group, L1 + pentobarbital sodium(PS)-injected group, M1+PS group, H1(15%)+PS group,and a positive control group(10 mg/kg, chlorpromazine, p.o.). The weight, general activities, locomotor activities, rotarod performance, sleep duration,and sleeping rate induced by a subthreshold dose of pentobarbital sodium were recorded in the mice,and the composition of moxa smoke was analyzed using headspace gas chromatography(GC-HS).RESULTS: A low concentration of smoke significantly decreased the frequency of locomotor activities and the time for which the mice remaining on the rotarod; however, a high smoke concentration significantly prolonged the pentobarbital-induced sleeping time and sleeping rate.CONCLUSION: The concentration-dependent relaxing effects of moxa smoke on the Central Nervous System(CNS) were confirmed. Moreover, GC-HS analysis showed that the component present in the highest concentration in moxa smoke was eucalyp-tol, an essential oil well recognized for its soothing effects on the CNS. This may therefore be accountable for the sedative effects of moxa smoke.
基金supported by the National Key R&D Program of China(Nos.2016YFA0401801)Natural Science Foundation of Anhui Province(No.1608085QE107)the Users with Excellence Program of Hefei Science Center CAS(No.2021HSC-UE009)。
文摘Phase engineering of molybdenum disulfide(MoS_(2))can achieve phase transformation from the semiconducting phase(2H-MoS_(2))with poor conductivity to the metallic phase(1T-MoS_(2))with superior electrochemical properties.Therefore,it is desirable to prepare high concentration 1T-MoS_(2)by simple and facile methods.In this work,MoS_(2)with high concentration of 1T phase is successfully prepared by one-pot hydrothermal synthesis through the synergistic effect of HNO_(3)and CH_(3)CH_(2)OH,which is stable for more than half of a year.The as-synthesized MoS_(2)shows high capacitance of 392Fg^(-1)at 1A g^(-1)as used for supercapacitors electrodes,and displays excellent capacitance retention(83%after 10,000 cycles).Asymmetric supercapacitors(ASCs)devices assembled by the as-synthesized MoS_(2)and MnO_(2)on carbon cloths,exhibit high energy and power densities(0.194 m Wh cm^(-2)and 13.466 mW cm^(-2)).These results shed a light to realize 1T phase MoS_(2)through the synergistic effect in hydrothermal processing.
基金financially supported by the National Natural Science Foundation of China(Grant Nos.52271317 and 52071149)the Fundamental Research Funds for the Central Universities(HUST:2019kfy XJJS007)。
文摘To address the problems of low accuracy by the CONWEP model and poor efficiency by the Coupled Eulerian-Lagrangian(CEL)method in predicting close-range air blast loads of cylindrical charges,a neural network-based simulation(NNS)method with higher accuracy and better efficiency was proposed.The NNS method consisted of three main steps.First,the parameters of blast loads,including the peak pressures and impulses of cylindrical charges with different aspect ratios(L/D)at different stand-off distances and incident angles were obtained by two-dimensional numerical simulations.Subsequently,incident shape factors of cylindrical charges with arbitrary aspect ratios were predicted by a neural network.Finally,reflected shape factors were derived and implemented into the subroutine of the ABAQUS code to modify the CONWEP model,including modifications of impulse and overpressure.The reliability of the proposed NNS method was verified by related experimental results.Remarkable accuracy improvement was acquired by the proposed NNS method compared with the unmodified CONWEP model.Moreover,huge efficiency superiority was obtained by the proposed NNS method compared with the CEL method.The proposed NNS method showed good accuracy when the scaled distance was greater than 0.2 m/kg^(1/3).It should be noted that there is no need to generate a new dataset again since the blast loads satisfy the similarity law,and the proposed NNS method can be directly used to simulate the blast loads generated by different cylindrical charges.The proposed NNS method with high efficiency and accuracy can be used as an effective method to analyze the dynamic response of structures under blast loads,and it has significant application prospects in designing protective structures.
文摘Hepatology encompasses various aspects,such as metabolic-associated fatty liver disease,viral hepatitis,alcoholic liver disease,liver cirrhosis,liver failure,liver tumors,and liver transplantation.The global epidemiological situation of liver diseases is grave,posing a substantial threat to human health and quality of life.Characterized by high incidence and mortality rates,liver diseases have emerged as a prominent global public health concern.In recent years,the rapid advan-cement of artificial intelligence(AI),deep learning,and radiomics has transfor-med medical research and clinical practice,demonstrating considerable potential in hepatology.AI is capable of automatically detecting abnormal cells in liver tissue sections,enhancing the accu-racy and efficiency of pathological diagnosis.Deep learning models are able to extract features from computed tomography and magnetic resonance imaging images to facilitate liver disease classification.Machine learning models are capable of integrating clinical data to forecast disease progression and treatment responses,thus supporting clinical decision-making for personalized medicine.Through the analysis of imaging data,laboratory results,and genomic information,AI can assist in diagnosis,forecast disease progression,and optimize treatment plans,thereby improving clinical outcomes for liver disease patients.This minireview intends to comprehensively summarize the state-of-the-art theories and applications of AI in hepatology,explore the opportunities and challenges it presents in clinical practice,basic research,and translational medicine,and propose future research directions to guide the advancement of hepatology and ultimately improve patient outcomes.
基金Supported by Henan Province Key Research and Development Program,No.231111311000Henan Provincial Science and Technology Research Project,No.232102310411+2 种基金Henan Province Medical Science and Technology Key Project,No.LHGJ20220566 and No.LHGJ20240365Henan Province Medical Education Research Project,No.WJLX2023079Zhengzhou Medical and Health Technology Innovation Guidance Program,No.2024YLZDJH022.
文摘Intervertebral disc degeneration is a leading cause of lower back pain and is characterized by pathological processes such as nucleus pulposus cell apoptosis,extracellular matrix imbalance,and annulus fibrosus rupture.These pathological changes result in disc height loss and functional decline,potentially leading to disc herniation.This comprehensive review aimed to address the current challenges in intervertebral disc degeneration treatment by evaluating the regenerative potential of stem cell-based therapies,with a particular focus on emerging technologies such as exosomes and gene vector systems.Through mechanisms such as differentiation,paracrine effects,and immunomodulation,stem cells facilitate extracellular matrix repair and reduce nucleus pulposus cell apoptosis.Despite recent advancements,clinical applications are hindered by challenges such as hypoxic disc environments and immune rejection.By analyzing recent preclinical and clinical findings,this review provided insights into optimizing stem cell therapy to overcome these obstacles and highlighted future directions in the field.
基金supported by the National Natural Science Foundation of China(Nos.22162014 and U24A2044).
文摘Anion exchange membrane fuel cells(AEMFCs),regarded as a promising alternative to proton exchange membrane fuel cells(PEMFCs),have garnered increasing attention because of their cost-effectiveness by using the non-noble metal catalysts and hydrocarbon-based ionomers as membrane[1].However,despite of extensive researches on non-noble metal catalysts such as Co[2].
基金Jinhua Public Welfare Technology Application Research Project,No.2025-4-229Zhejiang Province Medical and Health Science and Technology Plan,No.2022KY1343.
文摘Tendon-bone healing remains a significant clinical challenge due to the high risk of re-rupture following injury.While mesenchymal stem cells(MSCs)show great potential in enhancing tendon-bone healing,their clinical application is limited by issues such as low delivery efficiency,restricted differentiation potential,and potential immunogenicity.Recently,various strategies combining MSCs with other approaches,such as preconditioning,biomaterial integration,gene modification,and exosome application,have been developed,resulting in improved therapeutic outcomes.This review explored the current methods used to optimize MSC therapy for tendon-bone healing,examining the advantages,disadvantages,and underlying mechanisms of each approach,providing a foundation for future research and clinical applications.
基金Project supported by China Postdoctoral Science Foundation(2020M673172)National Natural Science Foundation of China(61901401)。
文摘The effective detection of trace methyl mercaptan(CH_(3)SH)with low power consumption is crucial for assessing air quality and facilitating non-invasive diagnosis of diseases such as periodontitis.Herein,we synthesized a ternary CeO_(2)-ZnO-Ag nanocomposite by a simple sol-gel one-step method,which shows the capability of monitoring ppb-level CH_(3)SH under room temperature.The incorporation of Ag significantly reduces the particle size and increases the ratio of Ce^(3+)as well as oxygen vacancy.Furthermore,Ag nanoparticles improve light utilization efficiency in CeO_(2)-ZnO composites in favor of the separation of photo-generated charge carriers.The sensor based on the nanocomposites with 2 mol%Ag exhibits an exceptional response of 1.21 towards 50 ppb CH3SH at room temperature under photoassisted excitation(395 nm).Moreover,it shows a stable detection even in an environment with 57.6% humidity and high selectivity towards CH_(3)SH gas.The gas sensing mechanism study indicates that the enhancement in perfo rmance is prima rily attributed to an increased number of oxygen vacancies and the spillover effect of Ag,ultimately leading to an augmented reaction rate of CH_(3)SH on the surface of the sensing material.This work demonstrates that the optimized CeO_(2)-ZnO-Ag nanocomposites hold great promise for highly selective and sensitive detection of trace CH_(3)SH gas under specific humidity conditions.
基金supported by the National Key Research and Development Program of China(2023YFC3041500).
文摘Objective Patients with severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)infection frequently develop central nervous system damage,yet the mechanisms driving this pathology remain unclear.This study investigated the primary pathways and key factors underlying brain tissue damage induced by the SARS-CoV-2 beta variant(lineage B.1.351).Methods K18-hACE2 and C57BL/6 mice were intranasally infected with the SARS-CoV-2 beta variant.Viral replication,pathological phenotypes,and brain transcriptomes were analyzed.Gene Ontology(GO)analysis was performed to identify altered pathways.Expression changes of host genes were verified using reverse transcription-quantitative polymerase chain reaction and Western blot.Results Pathological alterations were observed in the lungs of both mouse strains.However,only K18-hACE2 mice exhibited elevated viral RNA loads and infectious titers in the brain at 3 days post-infection,accompanied by neuropathological injury and weight loss.GO analysis of infected K18-hACE2 brain tissue revealed significant dysregulation of genes associated with innate immunity and antiviral defense responses,including type I interferons,pro-inflammatory cytokines,Toll-like receptor signaling components,and interferon-stimulated genes.Neuroinflammation was evident,alongside activation of apoptotic and pyroptotic pathways.Furthermore,altered neural cell marker expression suggested viral-induced neuroglial activation,resulting in caspase 4 and lipocalin 2 release and disruption of neuronal molecular networks.Conclusion These findings elucidate mechanisms of neuropathogenicity associated with the SARS-CoV-2 beta variant and highlight therapeutic targets to mitigate COVID-19-related neurological dysfunction.
基金Supported by the National Natural Science Foundation of China(Nos.12272056 and 11832002)。
文摘This paper investigates the active traveling wave vibration control of an elastic supported rotating porous aluminium conical shell(CS)under impact loading.Piezoelectric smart materials in the form of micro fiber composites(MFCs)are used as actuators and sensors.To this end,a metal pore truncated CS with MFCs attached to its surface is considered.Adding artificial virtual springs at two edges of the truncated CS achieves various elastic supported boundaries by changing the spring stiffness.Based on the first-order shear deformation theory(FSDT),minimum energy principle,and artificial virtual spring technology,the theoretical formulations considering the electromechanical coupling are derived.The comparison of the natural frequency of the present results with the natural frequencies reported in previous literature evaluates the accuracy of the present approach.To study the vibration control,the integral quadrature method in conjunction with the differential quadrature approximation in the length direction is used to discretize the partial differential dynamical system to form a set of ordinary differential equations.With the aid of the velocity negative feedback method,both the time history and the input control voltage on the actuator are demonstrated to present the effects of velocity feedback gain,pore distribution type,semi-vertex angle,impact loading,and rotational angular velocity on the traveling wave vibration control.
文摘为研究电子束退火对Li-N共掺杂Zn O薄膜性能的影响,首先利用溶胶-凝胶旋涂法在p型Si(111)衬底上制备Li-N共掺杂的Zn O前驱膜,然后用电子束对前驱膜进行退火。退火时,电子束加速电压10 k V,退火时间5 min,聚焦束流123 m A,束流为0.7~1.9 m A,最后得到Li-N共掺杂的Zn O薄膜。XRD谱分析表明,当束流高于1.5 m A之后,薄膜为六方Zn O和立方Zn O的混合多晶薄膜,且有金属Zn生成,导致薄膜有较强的绿光发射。SEM图片分析显示,薄膜的晶粒尺寸随束流增加而增大,当束流高于1.5 m A后,晶粒尺寸变化不大,约为60 nm。光致发光(PL)谱和激光拉曼谱的分析结果证实Li、N元素已掺入Zn O晶格中,PL谱中观察到Li元素掺杂引起的紫光发射,拉曼散射光谱中观察到N替代O位的缺陷振动模式。
文摘目的:观察益气养阴化浊通络方对高糖诱导的小鼠肾足细胞自噬相关蛋白5(autophagy-related protein 5,ATG5)、B细胞淋巴瘤-2蛋白相互作用中心卷曲螺旋蛋白1(B-cell lymphoma-2-interacting myosin-like coiled-coil protein 1,Beclin-1)及B淋巴细胞瘤-2基因/腺病毒E1B相互作用蛋白3(B-cell lymphoma-2/adenovirus E1 B interacting protein 3,BNIP3)表达的影响,探讨其对自噬的作用。方法:选取Wistar大鼠,分别灌胃20,40,80 g·kg^(-1)益气养阴化浊通络方及生理盐水,制备低、中、高浓度含药血清和空白血清。体外培养小鼠肾足细胞,分为正常对照组、高糖组、益气养阴化浊通络方低、中、高剂量组和雷帕霉素组。CCK-8法检测细胞增殖,细胞划痕检测细胞迁移能力,qRT-PCR和Western blot检测微管相关蛋白1轻链3B(microtubule-associated protein 1 light chain 3 B,LC3B)、ATG5、Beclin-1及BNIP3 mRNA和蛋白表达。结果:与空白对照组相比,高糖组足细胞增殖减弱,迁移能力增强,LC3B、ATG5、Beclin-1及BNIP3 mRNA和蛋白表达显著减弱;与HG组相比,益气养阴化浊通络方低、中、高剂量含药血清组及雷帕霉素组均可促进足细胞增殖,抑制足细胞迁移,明显促进LC3B、ATG5、Beclin-1及BNIP3 mRNA和蛋白表达。结论:益气养阴化浊通络方能够促进高糖诱导的小鼠肾足细胞自噬,调节足细胞增殖及迁移。
文摘生成式人工智能正深刻变革教育,相关研究文献不断涌现。文章通过收集知网、Scopus和Web of Science中与研究主题相关的中英文文献,利用BERTopic主题建模技术对文献进行主题聚类,挖掘国内外高等教育中生成式人工智能的研究主题,分析研究现状,为教育领域的教学实践和学术研究提供参考。研究结果表明:在个性化学习与人机协同方面,生成式人工智能通过制定个性化学习路径显著提升教学效果;师生对生成式人工智能的接受程度受技术认知和使用体验等因素制约,并直接影响应用成效;教育创新需平衡技术赋能与过度依赖问题;教学设计与课程实践的革新更多体现在教学模式和资源生成方式上,但必须同步构建学术伦理防护与治理机制;人工智能时代亟须人才培养结构的优化升级,要求教育者重新定义核心能力目标。
