With the rapid development of wearable electronic skin technology, flexible strain sensors have shown great application prospects in the fields of human motion and physiological signal detection, medical diagnostics, ...With the rapid development of wearable electronic skin technology, flexible strain sensors have shown great application prospects in the fields of human motion and physiological signal detection, medical diagnostics, and human-computer interaction owing to their outstanding sensing performance. This paper reports a strain sensor with synergistic conductive network, consisting of stable carbon nanotube dispersion (CNT) layer and brittle MXene layer by dip-coating and electrostatic self-assembly method, and breathable three-dimensional (3D) flexible substrate of thermoplastic polyurethane (TPU) fibrous membrane prepared through electrospinning technology. The MXene/CNT@PDA-TPU (MC@p-TPU) flexible strain sensor had excellent air permeability, wide operating range (0–450 %), high sensitivity (Gauge Factor, GFmax = 8089.7), ultra-low detection limit (0.05 %), rapid response and recovery times (40 ms/60 ms), and excellent cycle stability and durability (10,000 cycles). Given its superior strain sensing capabilities, this sensor can be applied in physiological signals detection, human motion pattern recognition, and driving exoskeleton robots. In addition, MC@p-TPU fibrous membrane also exhibited excellent photothermal conversion performance and can be used as a wearable photo-heater, which has far-reaching application potential in the photothermal therapy of human joint diseases.展开更多
Some patients with systemic lupus erythematosus experience neuropsychiatric symptoms.Although magnetic resonance imaging can detect abnormal signals in the white matter of the brain,conventional methods often struggle...Some patients with systemic lupus erythematosus experience neuropsychiatric symptoms.Although magnetic resonance imaging can detect abnormal signals in the white matter of the brain,conventional methods often struggle to accurately capture microstructural changes.Various diffusion models have been used to study white matter in systemic lupus erythematosus;however,comparative analyses of their sensitivity and specificity for detecting microstructural changes remain insufficient.To address this,our team designed a diagnostic trial that used multimodal diffusion imaging techniques to observe white matter microstructural changes in patients with systemic lupus erythematosus who had neuropsychiatric symptoms,with an aim to identify key diagnostic biomarkers for these patients.Patients with active lupus who received treatment at the Department of Rheumatology and Immunology,The First Affiliated Hospital of China Medical University,from September 2023 to March 2024 were recruited.According to the standards of the American College of Rheumatology,patients with systemic lupus erythematosus who had neuropsychiatric symptoms were assigned to the systemic lupus erythematosus group,whereas those without neuropsychiatric symptoms were assigned to the non-systemic lupus erythematosus group.Additionally,healthy volunteers matched by region,sex,and age were recruited as controls.All three groups underwent the same diffusion magnetic resonance imaging examination protocol to compare differences in diffusion parameters.Advanced diffusion imaging models were able to sensitively detect microstructural changes in the white matter fibers of patients with systemic lupus erythematosus who had neuropsychiatric symptoms,with specific diffusion parameters showing significant abnormalities in key brain regions.In the left superior longitudinal fasciculus subregion and the right thalamic radiations of patients with systemic lupus erythematosus who had neuropsychiatric symptoms,we also identified abnormal diffusion characteristics that were clearly correlated with disease activity,suggesting that microstructural changes in these areas may reflect the dynamic process of neuroinflammatory damage.The present study addresses critical challenges in the diagnosis of systemic lupus erythematosus by identifying specific white matter imaging biomarkers and elucidating the association between microstructural damage and clinical manifestations.The main contributions of our study include:1)establishing axial regression probability parameters from mean apparent propagator magnetic resonance imaging as sensitive biomarkers for systemic lupus erythematosus,particularly in the third subregion of the left superior longitudinal fasciculus;2)demonstrating that multimodal diffusion imaging may be superior to conventional diffusion tensor imaging for detecting white matter microstructural abnormalities in patients with systemic lupus erythematosus;and 3)integrating tract-based spatial statistics with clinically relevant analyses to link imaging findings to pathological mechanisms.展开更多
Freezing of gait is a significant and debilitating motor symptom often observed in individuals with Parkinson's disease.Resting-state functional magnetic resonance imaging,along with its multi-level feature indice...Freezing of gait is a significant and debilitating motor symptom often observed in individuals with Parkinson's disease.Resting-state functional magnetic resonance imaging,along with its multi-level feature indices,has provided a fresh perspective and valuable insight into the study of freezing of gait in Parkinson's disease.It has been revealed that Parkinson's disease is accompanied by widespread irregularities in inherent brain network activity.However,the effective integration of the multi-level indices of resting-state functional magnetic resonance imaging into clinical settings for the diagnosis of freezing of gait in Parkinson's disease remains a challenge.Although previous studies have demonstrated that radiomics can extract optimal features as biomarkers to identify or predict diseases,a knowledge gap still exists in the field of freezing of gait in Parkinson's disease.This cross-sectional study aimed to evaluate the ability of radiomics features based on multi-level indices of resting-state functional magnetic resonance imaging,along with clinical features,to distinguish between Parkinson's disease patients with and without freezing of gait.We recruited 28 patients with Parkinson's disease who had freezing of gait(15 men and 13 women,average age 63 years)and 30 patients with Parkinson's disease who had no freezing of gait(16 men and 14 women,average age 64 years).Magnetic resonance imaging scans were obtained using a 3.0T scanner to extract the mean amplitude of low-frequency fluctuations,mean regional homogeneity,and degree centrality.Neurological and clinical characteristics were also evaluated.We used the least absolute shrinkage and selection operator algorithm to extract features and established feedforward neural network models based solely on resting-state functional magnetic resonance imaging indicators.We then performed predictive analysis of three distinct groups based on resting-state functional magnetic resonance imaging indicators indicators combined with clinical features.Subsequently,we conducted 100 additional five-fold cross-validations to determine the most effective model for each classification task and evaluated the performance of the model using the area under the receiver operating characteristic curve.The results showed that when differentiating patients with Parkinson's disease who had freezing of gait from those who did not have freezing of gait,or from healthy controls,the models using only the mean regional homogeneity values achieved the highest area under the receiver operating characteristic curve values of 0.750(with an accuracy of 70.9%)and 0.759(with an accuracy of 65.3%),respectively.When classifying patients with Parkinson's disease who had freezing of gait from those who had no freezing of gait,the model using the mean amplitude of low-frequency fluctuation values combined with two clinical features achieved the highest area under the receiver operating characteristic curve of 0.847(with an accuracy of 74.3%).The most significant features for patients with Parkinson's disease who had freezing of gait were amplitude of low-frequency fluctuation alterations in the left parahippocampal gyrus and two clinical characteristics:Montreal Cognitive Assessment and Hamilton Depression Scale scores.Our findings suggest that radiomics features derived from resting-state functional magnetic resonance imaging indices and clinical information can serve as valuable indices for the identification of freezing of gait in Parkinson's disease.展开更多
The early involvement of test and evaluation can significantly reduce the cost of modifying issues and errors found in the later stages of aircraft development and design process.This paper presents a methodology for ...The early involvement of test and evaluation can significantly reduce the cost of modifying issues and errors found in the later stages of aircraft development and design process.This paper presents a methodology for aircraft mission effectiveness evaluation and design space exploration based on Virtual Operational Test(VOT),incorporating Virtual Open Scenario(VOS)and User in Scenarios(UIS)concepts.By employing modeling and simulation technologies in the early stages of aircraft development and design,a virtual environment can be constructed,allowing aircraft users to participate more closely and conveniently in the design process.Virtual tests conducted by users within the mission context provide data on mission effectiveness and critical user feedback.This paper outlines the main components of the virtual operational test process and related conceptual methods,and discusses an open support system framework that supports VOT.The effectiveness and adaptability of the method are demonstrated through two case studies:a beyond-visual-range air combat scenario and a helicopter ground attack scenario.These case studies demonstrate the evaluation of aircraft mission effectiveness and the sensitivity analysis and optimization of design and operational parameters based on VOT.展开更多
Discoidin domain receptor 1(DDR1)is overexpressed in various tumors,such as triple-negative breast cancer(TNBC),and is rarely expressed in normal tissues.These characteristics make DDR1 a preferable target candidate f...Discoidin domain receptor 1(DDR1)is overexpressed in various tumors,such as triple-negative breast cancer(TNBC),and is rarely expressed in normal tissues.These characteristics make DDR1 a preferable target candidate for the construction of an antibody-drug conjugate(ADC)for targeted therapy.Here,we investigated the preparation and preclinical efficacy of DDR1-DX8951,an ADC that includes an anti-DDR1 monoclonal antibody conjugated to DX8951 by a cleavable Gly-Gly-Phe-Gly(GGFG)linker.The anti-DDR1 monoclonal antibody was coupled to DX8951(i.e.,DDR1-DX8951),producing the targeted therapy ADC.The antitumor activities of DDR1-DX8951 monotherapy or DDR1-DX8951 plus pembrolizumab were assessed in TNBC mouse models.DDR1-DX8951 can specifically target DDR1,be quickly internalized by TNBC cells,and reduce the viability of TNBC cells in vitro.The potent antitumor activity of DDR1-DX8951 was revealed in TNBC xenograft models.Importantly,our investigation demonstrated that DDR1-DX8951 plus pembrolizumab not only revealed the inhibitory efficacy on tumor growth and metastasis but also played an important role in improving the immunosuppressive tumor microenvironment(TME)of TNBC.Taken together,this investigation provides justification for large-sample studies to further assess the safety and efficacy of DDR1-DX8951 plus pembrolizumab for TNBC clinical trials.展开更多
Magnesium-based solid-state hydrogen storage materials(Mg-HSMs)exhibit significant potential for the global energy transition due to their large hydrogen capacity and energy density.However,their high operating temper...Magnesium-based solid-state hydrogen storage materials(Mg-HSMs)exhibit significant potential for the global energy transition due to their large hydrogen capacity and energy density.However,their high operating temperatures,low operating efficiencies,and short service life have severely hindered largescale applications.To address the above challenges,diverse modification strategies have been proposed.Catalytic modification,achieved by introducing catalysts to enable compositional compounding and structural refinement,enhances surface active site density and bulk hydrogen diffusion pathways,reduces hydrogen dissociation energy barriers,weakens Mg–H bonds,and significantly improves kinetic properties.This approach is considered one of the most effective strategies.However,as research advances,the structures,forms,and catalytic mechanisms of catalysts have become increasingly diverse.Despite progress,challenges such as fragmented research outcomes,inconsistent performance metrics,and an incomplete understanding of structure-property relationships remain unresolved.Therefore,this work systematically summarizes recent advances in catalytic modification strategies for Mg-HSMs,emphasizing the role of catalysts in enhancing reaction kinetics and structural stability,the diversity of catalyst types,forms,and the underlying mechanisms governing catalytic efficacy.Based on critical analysis,this work identifies the current key technical bottlenecks and proposes that the design of next-generation catalysts and the future development of Mg-HSMs should be guided by the principles of‘multiphase heterogeneous interfacial composites'and‘synergistic development',aiming to provide theoretical guidance for the optimization and advancement of their performance.展开更多
To effectively enhance the catalytic activity of NiS,NiS particles confined into carbon fibers were prepared by electrostatic spinning followed pyrolyzation and NiS particles decorating was performed by further hydrot...To effectively enhance the catalytic activity of NiS,NiS particles confined into carbon fibers were prepared by electrostatic spinning followed pyrolyzation and NiS particles decorating was performed by further hydrothermal loading.The decorated NiS exhibits particle(NiS@PAN-NiS)and needle-like(NiS@PAN-NiS^(*))morphologies.After adding the catalysts into MgH_(2),the synthesized MgH_(2)-5 wt%NiS@PAN-NiS composite can absorb 2.6 wt%hydrogen at 353 K and release 5.0 wt%hydrogen within 1 h at 573 K.The initial hydrogen desorption temperature was reduced to 539 K.The activation energies for hydrogen absorption/desorption were greatly reduced to 66.76 and 89.95 kJ mol^(-1),respectively.The method of confining by electrospinning and particle decoration by hydrothermal loading reduce NiS particle agglomeration.The Mg_(2)Ni/Mg_(2)NiH_(4)hydrogen pump formed by reaction between NiS and MgH_(2)effectively enhanced hydrogen absorption and desorption kinetics.The formed MgS also improved the catalytic activity on the transformation of Mg and MgH_(2).Moreover,the carbon fibers should influence the contact between in situ formed MgS and Mg_(2)Ni,providing more catalytic sites and hydrogen diffusion pathways.The construction of NiS/carbon fibers confined NiS composite by carbon fibers derived from pyrolyzation as medium provides considerable way for designing NiS-based catalysts to enhance the hydrogen storage performances of MgH_(2).展开更多
目的验证miR-98可抑制肺癌患者B10细胞IL-10的表达。方法收集肺癌组和对照组外周血各10例,分离培养CD19B淋巴细胞,流式细胞检测B10细胞数,RT-PCR检测B10细胞miR-98和IL-10mRNA的表达,制备miR-98脂质体及建立肺癌小鼠模型,观察miR-98脂...目的验证miR-98可抑制肺癌患者B10细胞IL-10的表达。方法收集肺癌组和对照组外周血各10例,分离培养CD19B淋巴细胞,流式细胞检测B10细胞数,RT-PCR检测B10细胞miR-98和IL-10mRNA的表达,制备miR-98脂质体及建立肺癌小鼠模型,观察miR-98脂质体对小鼠瘤体生长的抑制作用。结果肺癌组外周血B10细胞miR-98显著低于对照组,IL-10 m RNA水平显著高于对照组,B10细胞miR-98与IL-10 mRNA间存在负相关。结论在miR-98高表达的环境下,B淋巴细胞IL-10表达降低,对荷瘤小鼠应用脂质体包埋miR-98能减慢肺癌生长。展开更多
基金supported by the National Natural Science Foundation of China(Nos.52373093 and 12072325)the Outstanding Youth Fund of Henan Province(No.242300421062)+1 种基金National Key R&D Program of China(No.2019YFA0706802)the 111 project(No.D18023).
文摘With the rapid development of wearable electronic skin technology, flexible strain sensors have shown great application prospects in the fields of human motion and physiological signal detection, medical diagnostics, and human-computer interaction owing to their outstanding sensing performance. This paper reports a strain sensor with synergistic conductive network, consisting of stable carbon nanotube dispersion (CNT) layer and brittle MXene layer by dip-coating and electrostatic self-assembly method, and breathable three-dimensional (3D) flexible substrate of thermoplastic polyurethane (TPU) fibrous membrane prepared through electrospinning technology. The MXene/CNT@PDA-TPU (MC@p-TPU) flexible strain sensor had excellent air permeability, wide operating range (0–450 %), high sensitivity (Gauge Factor, GFmax = 8089.7), ultra-low detection limit (0.05 %), rapid response and recovery times (40 ms/60 ms), and excellent cycle stability and durability (10,000 cycles). Given its superior strain sensing capabilities, this sensor can be applied in physiological signals detection, human motion pattern recognition, and driving exoskeleton robots. In addition, MC@p-TPU fibrous membrane also exhibited excellent photothermal conversion performance and can be used as a wearable photo-heater, which has far-reaching application potential in the photothermal therapy of human joint diseases.
基金supported by the National Natural Science Foundation Joint Fund,No.U22A20309(to PY)the Natural Science Foundation of LiaoningProvince,No.2023-MS-07(to HuL)the Unveiling Key Scientific and Technological Projects of Liaoning Province,No.2021JH1/10400051(to HuL).
文摘Some patients with systemic lupus erythematosus experience neuropsychiatric symptoms.Although magnetic resonance imaging can detect abnormal signals in the white matter of the brain,conventional methods often struggle to accurately capture microstructural changes.Various diffusion models have been used to study white matter in systemic lupus erythematosus;however,comparative analyses of their sensitivity and specificity for detecting microstructural changes remain insufficient.To address this,our team designed a diagnostic trial that used multimodal diffusion imaging techniques to observe white matter microstructural changes in patients with systemic lupus erythematosus who had neuropsychiatric symptoms,with an aim to identify key diagnostic biomarkers for these patients.Patients with active lupus who received treatment at the Department of Rheumatology and Immunology,The First Affiliated Hospital of China Medical University,from September 2023 to March 2024 were recruited.According to the standards of the American College of Rheumatology,patients with systemic lupus erythematosus who had neuropsychiatric symptoms were assigned to the systemic lupus erythematosus group,whereas those without neuropsychiatric symptoms were assigned to the non-systemic lupus erythematosus group.Additionally,healthy volunteers matched by region,sex,and age were recruited as controls.All three groups underwent the same diffusion magnetic resonance imaging examination protocol to compare differences in diffusion parameters.Advanced diffusion imaging models were able to sensitively detect microstructural changes in the white matter fibers of patients with systemic lupus erythematosus who had neuropsychiatric symptoms,with specific diffusion parameters showing significant abnormalities in key brain regions.In the left superior longitudinal fasciculus subregion and the right thalamic radiations of patients with systemic lupus erythematosus who had neuropsychiatric symptoms,we also identified abnormal diffusion characteristics that were clearly correlated with disease activity,suggesting that microstructural changes in these areas may reflect the dynamic process of neuroinflammatory damage.The present study addresses critical challenges in the diagnosis of systemic lupus erythematosus by identifying specific white matter imaging biomarkers and elucidating the association between microstructural damage and clinical manifestations.The main contributions of our study include:1)establishing axial regression probability parameters from mean apparent propagator magnetic resonance imaging as sensitive biomarkers for systemic lupus erythematosus,particularly in the third subregion of the left superior longitudinal fasciculus;2)demonstrating that multimodal diffusion imaging may be superior to conventional diffusion tensor imaging for detecting white matter microstructural abnormalities in patients with systemic lupus erythematosus;and 3)integrating tract-based spatial statistics with clinically relevant analyses to link imaging findings to pathological mechanisms.
基金supported by the National Natural Science Foundation of China,No.82071909(to GF)the Natural Science Foundation of Liaoning Province,No.2023-MS-07(to HL)。
文摘Freezing of gait is a significant and debilitating motor symptom often observed in individuals with Parkinson's disease.Resting-state functional magnetic resonance imaging,along with its multi-level feature indices,has provided a fresh perspective and valuable insight into the study of freezing of gait in Parkinson's disease.It has been revealed that Parkinson's disease is accompanied by widespread irregularities in inherent brain network activity.However,the effective integration of the multi-level indices of resting-state functional magnetic resonance imaging into clinical settings for the diagnosis of freezing of gait in Parkinson's disease remains a challenge.Although previous studies have demonstrated that radiomics can extract optimal features as biomarkers to identify or predict diseases,a knowledge gap still exists in the field of freezing of gait in Parkinson's disease.This cross-sectional study aimed to evaluate the ability of radiomics features based on multi-level indices of resting-state functional magnetic resonance imaging,along with clinical features,to distinguish between Parkinson's disease patients with and without freezing of gait.We recruited 28 patients with Parkinson's disease who had freezing of gait(15 men and 13 women,average age 63 years)and 30 patients with Parkinson's disease who had no freezing of gait(16 men and 14 women,average age 64 years).Magnetic resonance imaging scans were obtained using a 3.0T scanner to extract the mean amplitude of low-frequency fluctuations,mean regional homogeneity,and degree centrality.Neurological and clinical characteristics were also evaluated.We used the least absolute shrinkage and selection operator algorithm to extract features and established feedforward neural network models based solely on resting-state functional magnetic resonance imaging indicators.We then performed predictive analysis of three distinct groups based on resting-state functional magnetic resonance imaging indicators indicators combined with clinical features.Subsequently,we conducted 100 additional five-fold cross-validations to determine the most effective model for each classification task and evaluated the performance of the model using the area under the receiver operating characteristic curve.The results showed that when differentiating patients with Parkinson's disease who had freezing of gait from those who did not have freezing of gait,or from healthy controls,the models using only the mean regional homogeneity values achieved the highest area under the receiver operating characteristic curve values of 0.750(with an accuracy of 70.9%)and 0.759(with an accuracy of 65.3%),respectively.When classifying patients with Parkinson's disease who had freezing of gait from those who had no freezing of gait,the model using the mean amplitude of low-frequency fluctuation values combined with two clinical features achieved the highest area under the receiver operating characteristic curve of 0.847(with an accuracy of 74.3%).The most significant features for patients with Parkinson's disease who had freezing of gait were amplitude of low-frequency fluctuation alterations in the left parahippocampal gyrus and two clinical characteristics:Montreal Cognitive Assessment and Hamilton Depression Scale scores.Our findings suggest that radiomics features derived from resting-state functional magnetic resonance imaging indices and clinical information can serve as valuable indices for the identification of freezing of gait in Parkinson's disease.
文摘The early involvement of test and evaluation can significantly reduce the cost of modifying issues and errors found in the later stages of aircraft development and design process.This paper presents a methodology for aircraft mission effectiveness evaluation and design space exploration based on Virtual Operational Test(VOT),incorporating Virtual Open Scenario(VOS)and User in Scenarios(UIS)concepts.By employing modeling and simulation technologies in the early stages of aircraft development and design,a virtual environment can be constructed,allowing aircraft users to participate more closely and conveniently in the design process.Virtual tests conducted by users within the mission context provide data on mission effectiveness and critical user feedback.This paper outlines the main components of the virtual operational test process and related conceptual methods,and discusses an open support system framework that supports VOT.The effectiveness and adaptability of the method are demonstrated through two case studies:a beyond-visual-range air combat scenario and a helicopter ground attack scenario.These case studies demonstrate the evaluation of aircraft mission effectiveness and the sensitivity analysis and optimization of design and operational parameters based on VOT.
基金supported by Anhui Province Clinical Key Specialty Construction Project,China(Grant No.:2021sjlczdzk)the National Key Research and Development Program of China(Grants Nos.:2022YFC2304102 and 2022YFC2303300)the National Natural Science Foundation of China(Grant Nos.:82272301,32100745,and 31971129).
文摘Discoidin domain receptor 1(DDR1)is overexpressed in various tumors,such as triple-negative breast cancer(TNBC),and is rarely expressed in normal tissues.These characteristics make DDR1 a preferable target candidate for the construction of an antibody-drug conjugate(ADC)for targeted therapy.Here,we investigated the preparation and preclinical efficacy of DDR1-DX8951,an ADC that includes an anti-DDR1 monoclonal antibody conjugated to DX8951 by a cleavable Gly-Gly-Phe-Gly(GGFG)linker.The anti-DDR1 monoclonal antibody was coupled to DX8951(i.e.,DDR1-DX8951),producing the targeted therapy ADC.The antitumor activities of DDR1-DX8951 monotherapy or DDR1-DX8951 plus pembrolizumab were assessed in TNBC mouse models.DDR1-DX8951 can specifically target DDR1,be quickly internalized by TNBC cells,and reduce the viability of TNBC cells in vitro.The potent antitumor activity of DDR1-DX8951 was revealed in TNBC xenograft models.Importantly,our investigation demonstrated that DDR1-DX8951 plus pembrolizumab not only revealed the inhibitory efficacy on tumor growth and metastasis but also played an important role in improving the immunosuppressive tumor microenvironment(TME)of TNBC.Taken together,this investigation provides justification for large-sample studies to further assess the safety and efficacy of DDR1-DX8951 plus pembrolizumab for TNBC clinical trials.
基金financially supported by the Key Research and Development Projects of Shaanxi Province(Grant Nos.2025CYYBXM-154 and 2024GX-YBXM-213)the Yulin Science and Technology Bureau(Grant Nos.2023-CXY-202 and 2024-CXY-154)+2 种基金the Scientific Research Program Funded by Shaanxi Provincial Education Department(Grant No.23JP008)the Natural Science Foundation of Qinghai Province for Distinguished Young Scholars(Grant No.2025-ZJ-966J)the Talent youth project of Chinese Academy of Sciences(Grant No.E410GC03)。
文摘Magnesium-based solid-state hydrogen storage materials(Mg-HSMs)exhibit significant potential for the global energy transition due to their large hydrogen capacity and energy density.However,their high operating temperatures,low operating efficiencies,and short service life have severely hindered largescale applications.To address the above challenges,diverse modification strategies have been proposed.Catalytic modification,achieved by introducing catalysts to enable compositional compounding and structural refinement,enhances surface active site density and bulk hydrogen diffusion pathways,reduces hydrogen dissociation energy barriers,weakens Mg–H bonds,and significantly improves kinetic properties.This approach is considered one of the most effective strategies.However,as research advances,the structures,forms,and catalytic mechanisms of catalysts have become increasingly diverse.Despite progress,challenges such as fragmented research outcomes,inconsistent performance metrics,and an incomplete understanding of structure-property relationships remain unresolved.Therefore,this work systematically summarizes recent advances in catalytic modification strategies for Mg-HSMs,emphasizing the role of catalysts in enhancing reaction kinetics and structural stability,the diversity of catalyst types,forms,and the underlying mechanisms governing catalytic efficacy.Based on critical analysis,this work identifies the current key technical bottlenecks and proposes that the design of next-generation catalysts and the future development of Mg-HSMs should be guided by the principles of‘multiphase heterogeneous interfacial composites'and‘synergistic development',aiming to provide theoretical guidance for the optimization and advancement of their performance.
基金financially supported by the National Natural Science Foundation of China(Nos.52101274 and 52472131)the Natural Science Foundation of Shandong Province(Nos.ZR2020QE011 and ZR2022ME089)+6 种基金Yantai Basic Research Project(No.2024JCYJ097)the Key Research and Development Projects of Shandong Province(No.2024TSGC0402)the Youth Top Talent Foundation of Yantai University(No.2219008)the Graduate Innovation Foundation of Yantai University(No.GIFYTU2240)the Natural Science Foundation of Qinghai Province for Distinguished Young Scholars(No.2025-ZJ-966J)the Talent Youth Project of Chinese Academy of Sciences(No.E410GC03)the CollegeStudent Innovation and Entrepreneurship Training Program Project(No.202311066088)
文摘To effectively enhance the catalytic activity of NiS,NiS particles confined into carbon fibers were prepared by electrostatic spinning followed pyrolyzation and NiS particles decorating was performed by further hydrothermal loading.The decorated NiS exhibits particle(NiS@PAN-NiS)and needle-like(NiS@PAN-NiS^(*))morphologies.After adding the catalysts into MgH_(2),the synthesized MgH_(2)-5 wt%NiS@PAN-NiS composite can absorb 2.6 wt%hydrogen at 353 K and release 5.0 wt%hydrogen within 1 h at 573 K.The initial hydrogen desorption temperature was reduced to 539 K.The activation energies for hydrogen absorption/desorption were greatly reduced to 66.76 and 89.95 kJ mol^(-1),respectively.The method of confining by electrospinning and particle decoration by hydrothermal loading reduce NiS particle agglomeration.The Mg_(2)Ni/Mg_(2)NiH_(4)hydrogen pump formed by reaction between NiS and MgH_(2)effectively enhanced hydrogen absorption and desorption kinetics.The formed MgS also improved the catalytic activity on the transformation of Mg and MgH_(2).Moreover,the carbon fibers should influence the contact between in situ formed MgS and Mg_(2)Ni,providing more catalytic sites and hydrogen diffusion pathways.The construction of NiS/carbon fibers confined NiS composite by carbon fibers derived from pyrolyzation as medium provides considerable way for designing NiS-based catalysts to enhance the hydrogen storage performances of MgH_(2).
文摘目的验证miR-98可抑制肺癌患者B10细胞IL-10的表达。方法收集肺癌组和对照组外周血各10例,分离培养CD19B淋巴细胞,流式细胞检测B10细胞数,RT-PCR检测B10细胞miR-98和IL-10mRNA的表达,制备miR-98脂质体及建立肺癌小鼠模型,观察miR-98脂质体对小鼠瘤体生长的抑制作用。结果肺癌组外周血B10细胞miR-98显著低于对照组,IL-10 m RNA水平显著高于对照组,B10细胞miR-98与IL-10 mRNA间存在负相关。结论在miR-98高表达的环境下,B淋巴细胞IL-10表达降低,对荷瘤小鼠应用脂质体包埋miR-98能减慢肺癌生长。
