The growing demand for energy-saving and renewable heating solutions has made photovoltaic/thermal(PV/T)heat pump systems a promising technology.However,their thermal and electrical performance,as well as the overall ...The growing demand for energy-saving and renewable heating solutions has made photovoltaic/thermal(PV/T)heat pump systems a promising technology.However,their thermal and electrical performance,as well as the overall utilization of solar energy,strongly depend on capacity configuration and operating parameters.To address this issue,this study proposes a PV/T heat pump system featuring a novel rhombic flow channel structure that functions as the collector-evaporator.An experimental test bench was established to evaluate system performance,and a one-dimensional numerical model was developed to investigate the effects of environmental and operating parameters.The simulation results deviated by approximately 10%from the experimental data,indicating good agreement between the two approaches.Analysis shows that hot-water heating time decreases with increasing solar radiation intensity.The system coefficient of performance(COP)rises by 50.9%and 45.9%with higher environmental temperature and collector area,respectively,but decreases by 6.61%and 45%with greater superheat and higher original tank temperature.The photovoltaic(PV)generation efficiency decreases by 6.25%,2.16%,and 1.63%with increases in environmental temperature,collector-evaporator area,and original tank temperature,respectively,but increases by 0.92%with higher superheat.Sensitivity analysis further reveals that original tank temperature exerts the strongest influence on system COP,with a sensitivity coefficient of 1.159,while environmental temperature most significantly affects PV efficiency,with a sensitivity coefficient of−0.051.Overall,this study provides a pathway to enhance system stability and energy efficiency,offering theoretical and practical contributions to the intelligent control of PV/T heat pump systems.展开更多
Full waveform inversion(FWI)is a complex data fitting process based on full wavefield modeling,aiming to quantitatively reconstruct unknown model parameters from partial waveform data with high-resolution.However,this...Full waveform inversion(FWI)is a complex data fitting process based on full wavefield modeling,aiming to quantitatively reconstruct unknown model parameters from partial waveform data with high-resolution.However,this process is highly nonlinear and ill-posed,therefore achieving high-resolution imaging of complex biological tissues within a limited number of iterations remains challenging.We propose a multiscale frequency–domain full waveform inversion(FDFWI)framework for ultrasound computed tomography(USCT)imaging of biological tissues,which innovatively incorporates Sobolev space norm regularization for enhancement of prior information.Specifically,we investigate the effect of different types of hyperparameter on the imaging quality,during which the regularization weight is dynamically adapted based on the ratio of the regularization term to the data fidelity term.This strategy reduces reliance on predefined hyperparameters,ensuring robust inversion performance.The inversion results from both numerical and experimental tests(i.e.,numerical breast,thigh,and ex vivo pork-belly tissue)demonstrate the effectiveness of our regularized FWI strategy.These findings will contribute to the application of the FWI technique in quantitative imaging based on USCT and make USCT possible to be another high-resolution imaging method after x-ray computed tomography and magnetic resonance imaging.展开更多
Non-enzymatic glycation reaction in food can produce diet-derived advanced glycation end products(dAGEs),which have potential health risks.Thus,it is of great significance to find efficient substances to improve the n...Non-enzymatic glycation reaction in food can produce diet-derived advanced glycation end products(dAGEs),which have potential health risks.Thus,it is of great significance to find efficient substances to improve the negative effects induced by dAGEs on human health.This study investigated the intervening effects of peanut skin procyanidins(PSP)on the dAGEs-induced oxidative stress and systemic inflammation in experimental mice model.Results showed that the accumulation of AGEs in serum,liver,and kidney was significantly increased after mice were fed dAGEs(P<0.05).The expression of advanced glycation product receptor(RAGE)was also significantly increased in liver and kidney(P<0.05).PSP could not only effectively reduce the accumulation of AGEs in serum,liver and kidney of mice,but also reduce the expression of RAGE in liver and kidney of mice.And the levels of pro-inflammatory cytokines interleukin-6(IL-6),tumor necrosis factor(TNF-α),and IL-1βin serum of mice were significantly decreased(P<0.05),while the levels of antiinflammatory factor IL-10 were increased,and the inflammatory injury in mice was improved.In addition,the levels of superoxide dismutase(SOD),glutathione(GSH),catalase(CAT)in liver and kidney of mice were increased(P<0.05),and the level of malondialdehyde(MDA)was decreased(P<0.05),which enhanced the antioxidant capacity of mice in vivo,and improved the oxidative damage of liver and kidney.Molecular docking technique was used to confirm that the parent compound of procyanidins and its main metabolites,such as 3-hydroxyphenylacetic acid,could interact with RAGE,which might inhibit the activation of nuclear transcription factor(NF-κB),and ultimately reduce oxidative stress and inflammation in mice.展开更多
p21Waf/Cip1, p16INK4a and p14ARF (p19ARF in mice) have been demonstrated to be degraded by REGγ-proteasome pathway in an ATP- and ubiquitin-independent manner in vitro. However, the in vivo roles of REGγ mediated-de...p21Waf/Cip1, p16INK4a and p14ARF (p19ARF in mice) have been demonstrated to be degraded by REGγ-proteasome pathway in an ATP- and ubiquitin-independent manner in vitro. However, the in vivo roles of REGγ mediated-degradation of p21Waf/Cip1, p16INK4a and p14ARF remain unclear. In this study, we showed enhanced expression of p21Waf/Cip1, p16INK4a and p19ARF in multiple tissues from REGg–/– mice compared to REGg+/+ mice. Furthermore, we examined the expression of p21Waf/Cip1, p16INK4a and p14ARF in different cancer tissues and observed that the REGγ protein levels were highly expressed in different human cancers while the level of p21Waf/Cip1, p16INK4a and p14ARF appears to be inversely correlated. These results demonstrate that REGγ may exert its function in physiological and pathological conditions through degradation of p21Waf/Cip1, p16INK4a and p14ARF in vivo.展开更多
Determining effective traditional Chinese medicine （TCM） treatments for specific disease conditions or particular patient groups is a difficult issue that necessitates investigation because of the complicated person...Determining effective traditional Chinese medicine （TCM） treatments for specific disease conditions or particular patient groups is a difficult issue that necessitates investigation because of the complicated personalized manifestations in real-world patients and the individualized combination therapies prescribed in clinical settings. In this study, a multistage analysis method that integrates propensity case matching, complex network analysis, and herb set enrichment analysis was proposed to identify effective herb prescriptions for particular diseases （e.g., insomnia）. First, propensity case matching was applied to match clinical cases. Then, core network extraction and herb set enrichment were combined to detect core effective herb prescriptions. Effectiveness-based mutual information was used to detect strong herb symptom relationships. This method was applied on a TCM clinical data set with 955 patients collected from well-designed observational studies. Results revealed that groups of herb prescriptions with higher effectiveness rates （76.9% vs. 42.8% for matched samples; 94.2% vs. 84.9% for all samples） compared with the original prescriptions were found. Particular patient groups with symptom manifestations were also identified to help investigate the indications of the effective herb prescriptions.展开更多
Traditional Chinese medicine （TCM） investigates the clinical diagnosis and treatment regularities in a typical schema of personalized medicine, which means that individualized patients with same diseases would obtai...Traditional Chinese medicine （TCM） investigates the clinical diagnosis and treatment regularities in a typical schema of personalized medicine, which means that individualized patients with same diseases would obtain distinct diagnosis and optimal treatment from different TCM physicians. This principle has been recognized and adhered by TCM clinical practitioners for thousands of years. However, the underlying mechanisms of TCM personalized medicine are not fully investigated so far and remained unknown. This paper discusses framework of TCM personalized medicine in classic literatures and in real-world clinical settings, and investigates the underlying mechanisms of TCM personalized medicine from the perspectives of network medicine. Based on 246 well-designed outpatient records on insomnia, by evaluating the personal biases of manifestation observation and preferences of herb prescriptions, we noted significant similarities between each herb prescriptions and symptom similarities between each encounters. To investigate the underlying mechanisms of TCM personalized medicine, we constructed a clinical phenotype network （CPN）, in which the clinical phenotype entities like symptoms and diagnoses are presented as nodes and the correlation between these entities as links. This CPN is used to investigate the promiscuous boundary of syndromes and the co-occurrence of symptoms. The small-world topological characteristics are noted in the CPN with high clustering structures, which provide insight on the rationality of TCM personalized diagnosis and treatment. The investigation on this network would help us to gain understanding on the underlying mechanism of TCM personalized medicine and would propose a new perspective for the refinement of the TCM individualized clinical skills.展开更多
The noble metal-based bimetallic clusters with high atom utilization and surface energy have been widely applied in heterogeneous catalysis,but the stabilization of these metastable clusters in harsh reaction conditio...The noble metal-based bimetallic clusters with high atom utilization and surface energy have been widely applied in heterogeneous catalysis,but the stabilization of these metastable clusters in harsh reaction conditions is quite challenging.Herein,we synthesize a series of Pt-,Pd-,and Ru-based clusters promoted by a second non-noble metal(Zn,Cu,Sn,and Fe),which are confined inside silicalite-1(pure silica,S-1)crystals by a ligand-protected method.The second metal could well stabilize and disperse the noble atoms inside the rigid S-1 zeolites via Si–O–M bonds,thus enabling to lower the usage of expensive noble metals in catalysts.The as-synthesized bimetallic catalysts exhibited excellent performance in non-oxidative propane dehydrogenation(PDH)reaction,which is typically operated above 500℃.The PtZn@S-1,PtCu@S-1,and PtSn@S-1 with only a~0.17 wt.%Pt loading offer a significant enhancement in PDH performance compared with the conventional PtSn/Al_(2)O_(3)catalyst with a 0.5 wt.%Pt loading prepared by impregnation method.Notably,the PtSn@S-1 provides a propane conversion of 45%with a 99%propylene selectivity at 550℃,close to the thermodynamic equilibrium.Furthermore,the PtSn@S-1 exhibits excellent stability during 300 h on stream and high tolerance to regeneration by a simple calcination step.展开更多
Colorectal cancer has one of the highest mortality rates among malignant tumors,and most patients with non-microsatellite instability-high (MSI-H) colorectal cancer do not benefit from targeted therapy or immune check...Colorectal cancer has one of the highest mortality rates among malignant tumors,and most patients with non-microsatellite instability-high (MSI-H) colorectal cancer do not benefit from targeted therapy or immune checkpoint inhibitors.Identification of immunogenic neoantigens is a promising strategy for inducing specific antitumor T cells for cancer immunotherapy.Here,we screened potential high-frequency neoepitopes from non-MSI-H colorectal cancer and tested their abilities to induce tumorspecific cytotoxic T cell responses.Three HLA-A2-restricted neoepitopes (P31,P50,and P52) were immunogenic and could induce cytotoxic T lymphocytes in peripheral blood mononuclear cells from healthy donors and colorectal cancer patients.Cytotoxic T lymphocytes induced in HLA-A2.1/K^(b) transgenic mice could recognize and lyse mutant neoepitope-transfected HLA-A2^(+) cancer cells.Adoptive transfer of cytotoxic T lymphocytes induced by the peptide pool of these three neoepitopes effectively inhibited tumor growth and increased the therapeutic effects of anti-PD-1 antibody.These results revealed the potential of high-frequency mutation-specific peptide-based immunotherapy as a personalized treatment approach for patients with non-MSI-H colorectal cancer.The combination of adoptive T cell therapy based on these neoepitopes with immune checkpoint inhibitors,such as anti-PD-1,could provide a promising treatment strategy for non-MSI-H colorectal cancer.展开更多
Erratum to Nano Research,2023,16(8):10881–10889 https://doi.org/10.1007/s12274-023-5953-y The equal contribution symbols were unfortunately missing.Instead of Xueer Wei1,Jiawei Cheng1,Yubing Li1,Kang Cheng1,2(✉),Fanf...Erratum to Nano Research,2023,16(8):10881–10889 https://doi.org/10.1007/s12274-023-5953-y The equal contribution symbols were unfortunately missing.Instead of Xueer Wei1,Jiawei Cheng1,Yubing Li1,Kang Cheng1,2(✉),Fanfei Sun3,4(✉),Qinghong Zhang1(✉),and Ye Wang1,21 State Key Laboratory of Physical Chemistry of Solid Surfaces,Collaborative Innovation Center of Chemistry for Energy Materials,College of Chemistry and Chemical Engineering,Xiamen University,Xiamen 361005,China 2 Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian Province(IKKEM),Xiamen 361005,China 3 Shanghai Synchrotron Radiation Facility,Shanghai Advanced Research Institute,Chinese Academy of Sciences,Shanghai 201800,China 4 Shanghai Institute of Applied Physics,Chinese Academy of Sciences,Shanghai 201204,China.展开更多
基金supported by the Chinese Natural Science Foundations(Grant No.52176181)Natural Science Foundation Project of Fujian(Grant No.2025J08222,Grant No.2025J08247)Scientific Research Foundation of Fujian University of Technology(Grant No.GY-Z220181).
文摘The growing demand for energy-saving and renewable heating solutions has made photovoltaic/thermal(PV/T)heat pump systems a promising technology.However,their thermal and electrical performance,as well as the overall utilization of solar energy,strongly depend on capacity configuration and operating parameters.To address this issue,this study proposes a PV/T heat pump system featuring a novel rhombic flow channel structure that functions as the collector-evaporator.An experimental test bench was established to evaluate system performance,and a one-dimensional numerical model was developed to investigate the effects of environmental and operating parameters.The simulation results deviated by approximately 10%from the experimental data,indicating good agreement between the two approaches.Analysis shows that hot-water heating time decreases with increasing solar radiation intensity.The system coefficient of performance(COP)rises by 50.9%and 45.9%with higher environmental temperature and collector area,respectively,but decreases by 6.61%and 45%with greater superheat and higher original tank temperature.The photovoltaic(PV)generation efficiency decreases by 6.25%,2.16%,and 1.63%with increases in environmental temperature,collector-evaporator area,and original tank temperature,respectively,but increases by 0.92%with higher superheat.Sensitivity analysis further reveals that original tank temperature exerts the strongest influence on system COP,with a sensitivity coefficient of 1.159,while environmental temperature most significantly affects PV efficiency,with a sensitivity coefficient of−0.051.Overall,this study provides a pathway to enhance system stability and energy efficiency,offering theoretical and practical contributions to the intelligent control of PV/T heat pump systems.
基金supported by the National Natural Science Foundation of China(Grant No.12474461)the Basic and Frontier Exploration Project Independently Deployed by Institute of Acoustics,Chinese Academy of Sciences(Grant No.JCQY202402)the Goal-Oriented Project Independently Deployed by Institute of Acoustics,Chinese Academy of Sciences(Grant No.MBDX202113).
文摘Full waveform inversion(FWI)is a complex data fitting process based on full wavefield modeling,aiming to quantitatively reconstruct unknown model parameters from partial waveform data with high-resolution.However,this process is highly nonlinear and ill-posed,therefore achieving high-resolution imaging of complex biological tissues within a limited number of iterations remains challenging.We propose a multiscale frequency–domain full waveform inversion(FDFWI)framework for ultrasound computed tomography(USCT)imaging of biological tissues,which innovatively incorporates Sobolev space norm regularization for enhancement of prior information.Specifically,we investigate the effect of different types of hyperparameter on the imaging quality,during which the regularization weight is dynamically adapted based on the ratio of the regularization term to the data fidelity term.This strategy reduces reliance on predefined hyperparameters,ensuring robust inversion performance.The inversion results from both numerical and experimental tests(i.e.,numerical breast,thigh,and ex vivo pork-belly tissue)demonstrate the effectiveness of our regularized FWI strategy.These findings will contribute to the application of the FWI technique in quantitative imaging based on USCT and make USCT possible to be another high-resolution imaging method after x-ray computed tomography and magnetic resonance imaging.
基金supported by the Doctoral Science Foundation of Shanxi Agricultural University(2023BQ34)Shanxi Province Work Award Fund Research Project(SXBYKY2022116).
文摘Non-enzymatic glycation reaction in food can produce diet-derived advanced glycation end products(dAGEs),which have potential health risks.Thus,it is of great significance to find efficient substances to improve the negative effects induced by dAGEs on human health.This study investigated the intervening effects of peanut skin procyanidins(PSP)on the dAGEs-induced oxidative stress and systemic inflammation in experimental mice model.Results showed that the accumulation of AGEs in serum,liver,and kidney was significantly increased after mice were fed dAGEs(P<0.05).The expression of advanced glycation product receptor(RAGE)was also significantly increased in liver and kidney(P<0.05).PSP could not only effectively reduce the accumulation of AGEs in serum,liver and kidney of mice,but also reduce the expression of RAGE in liver and kidney of mice.And the levels of pro-inflammatory cytokines interleukin-6(IL-6),tumor necrosis factor(TNF-α),and IL-1βin serum of mice were significantly decreased(P<0.05),while the levels of antiinflammatory factor IL-10 were increased,and the inflammatory injury in mice was improved.In addition,the levels of superoxide dismutase(SOD),glutathione(GSH),catalase(CAT)in liver and kidney of mice were increased(P<0.05),and the level of malondialdehyde(MDA)was decreased(P<0.05),which enhanced the antioxidant capacity of mice in vivo,and improved the oxidative damage of liver and kidney.Molecular docking technique was used to confirm that the parent compound of procyanidins and its main metabolites,such as 3-hydroxyphenylacetic acid,could interact with RAGE,which might inhibit the activation of nuclear transcription factor(NF-κB),and ultimately reduce oxidative stress and inflammation in mice.
文摘p21Waf/Cip1, p16INK4a and p14ARF (p19ARF in mice) have been demonstrated to be degraded by REGγ-proteasome pathway in an ATP- and ubiquitin-independent manner in vitro. However, the in vivo roles of REGγ mediated-degradation of p21Waf/Cip1, p16INK4a and p14ARF remain unclear. In this study, we showed enhanced expression of p21Waf/Cip1, p16INK4a and p19ARF in multiple tissues from REGg–/– mice compared to REGg+/+ mice. Furthermore, we examined the expression of p21Waf/Cip1, p16INK4a and p14ARF in different cancer tissues and observed that the REGγ protein levels were highly expressed in different human cancers while the level of p21Waf/Cip1, p16INK4a and p14ARF appears to be inversely correlated. These results demonstrate that REGγ may exert its function in physiological and pathological conditions through degradation of p21Waf/Cip1, p16INK4a and p14ARF in vivo.
文摘Determining effective traditional Chinese medicine （TCM） treatments for specific disease conditions or particular patient groups is a difficult issue that necessitates investigation because of the complicated personalized manifestations in real-world patients and the individualized combination therapies prescribed in clinical settings. In this study, a multistage analysis method that integrates propensity case matching, complex network analysis, and herb set enrichment analysis was proposed to identify effective herb prescriptions for particular diseases （e.g., insomnia）. First, propensity case matching was applied to match clinical cases. Then, core network extraction and herb set enrichment were combined to detect core effective herb prescriptions. Effectiveness-based mutual information was used to detect strong herb symptom relationships. This method was applied on a TCM clinical data set with 955 patients collected from well-designed observational studies. Results revealed that groups of herb prescriptions with higher effectiveness rates （76.9% vs. 42.8% for matched samples; 94.2% vs. 84.9% for all samples） compared with the original prescriptions were found. Particular patient groups with symptom manifestations were also identified to help investigate the indications of the effective herb prescriptions.
文摘Traditional Chinese medicine （TCM） investigates the clinical diagnosis and treatment regularities in a typical schema of personalized medicine, which means that individualized patients with same diseases would obtain distinct diagnosis and optimal treatment from different TCM physicians. This principle has been recognized and adhered by TCM clinical practitioners for thousands of years. However, the underlying mechanisms of TCM personalized medicine are not fully investigated so far and remained unknown. This paper discusses framework of TCM personalized medicine in classic literatures and in real-world clinical settings, and investigates the underlying mechanisms of TCM personalized medicine from the perspectives of network medicine. Based on 246 well-designed outpatient records on insomnia, by evaluating the personal biases of manifestation observation and preferences of herb prescriptions, we noted significant similarities between each herb prescriptions and symptom similarities between each encounters. To investigate the underlying mechanisms of TCM personalized medicine, we constructed a clinical phenotype network （CPN）, in which the clinical phenotype entities like symptoms and diagnoses are presented as nodes and the correlation between these entities as links. This CPN is used to investigate the promiscuous boundary of syndromes and the co-occurrence of symptoms. The small-world topological characteristics are noted in the CPN with high clustering structures, which provide insight on the rationality of TCM personalized diagnosis and treatment. The investigation on this network would help us to gain understanding on the underlying mechanism of TCM personalized medicine and would propose a new perspective for the refinement of the TCM individualized clinical skills.
基金supported by the National Key Research and Development Program of the Ministry of Science and Technology(No.2020YFB0606401)the National Natural Science Foundation of China(Nos.22222206,92145301,22072120,and 12205359)the Fundamental Research Funds for the Central Universities(Nos.20720220008 and 20720220021).
文摘The noble metal-based bimetallic clusters with high atom utilization and surface energy have been widely applied in heterogeneous catalysis,but the stabilization of these metastable clusters in harsh reaction conditions is quite challenging.Herein,we synthesize a series of Pt-,Pd-,and Ru-based clusters promoted by a second non-noble metal(Zn,Cu,Sn,and Fe),which are confined inside silicalite-1(pure silica,S-1)crystals by a ligand-protected method.The second metal could well stabilize and disperse the noble atoms inside the rigid S-1 zeolites via Si–O–M bonds,thus enabling to lower the usage of expensive noble metals in catalysts.The as-synthesized bimetallic catalysts exhibited excellent performance in non-oxidative propane dehydrogenation(PDH)reaction,which is typically operated above 500℃.The PtZn@S-1,PtCu@S-1,and PtSn@S-1 with only a~0.17 wt.%Pt loading offer a significant enhancement in PDH performance compared with the conventional PtSn/Al_(2)O_(3)catalyst with a 0.5 wt.%Pt loading prepared by impregnation method.Notably,the PtSn@S-1 provides a propane conversion of 45%with a 99%propylene selectivity at 550℃,close to the thermodynamic equilibrium.Furthermore,the PtSn@S-1 exhibits excellent stability during 300 h on stream and high tolerance to regeneration by a simple calcination step.
基金supported by the National Natural Science Foundation of China (U20A20369, 81822043, and 81601448)the Foundation of Henan Province (19A180007)。
文摘Colorectal cancer has one of the highest mortality rates among malignant tumors,and most patients with non-microsatellite instability-high (MSI-H) colorectal cancer do not benefit from targeted therapy or immune checkpoint inhibitors.Identification of immunogenic neoantigens is a promising strategy for inducing specific antitumor T cells for cancer immunotherapy.Here,we screened potential high-frequency neoepitopes from non-MSI-H colorectal cancer and tested their abilities to induce tumorspecific cytotoxic T cell responses.Three HLA-A2-restricted neoepitopes (P31,P50,and P52) were immunogenic and could induce cytotoxic T lymphocytes in peripheral blood mononuclear cells from healthy donors and colorectal cancer patients.Cytotoxic T lymphocytes induced in HLA-A2.1/K^(b) transgenic mice could recognize and lyse mutant neoepitope-transfected HLA-A2^(+) cancer cells.Adoptive transfer of cytotoxic T lymphocytes induced by the peptide pool of these three neoepitopes effectively inhibited tumor growth and increased the therapeutic effects of anti-PD-1 antibody.These results revealed the potential of high-frequency mutation-specific peptide-based immunotherapy as a personalized treatment approach for patients with non-MSI-H colorectal cancer.The combination of adoptive T cell therapy based on these neoepitopes with immune checkpoint inhibitors,such as anti-PD-1,could provide a promising treatment strategy for non-MSI-H colorectal cancer.
文摘Erratum to Nano Research,2023,16(8):10881–10889 https://doi.org/10.1007/s12274-023-5953-y The equal contribution symbols were unfortunately missing.Instead of Xueer Wei1,Jiawei Cheng1,Yubing Li1,Kang Cheng1,2(✉),Fanfei Sun3,4(✉),Qinghong Zhang1(✉),and Ye Wang1,21 State Key Laboratory of Physical Chemistry of Solid Surfaces,Collaborative Innovation Center of Chemistry for Energy Materials,College of Chemistry and Chemical Engineering,Xiamen University,Xiamen 361005,China 2 Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian Province(IKKEM),Xiamen 361005,China 3 Shanghai Synchrotron Radiation Facility,Shanghai Advanced Research Institute,Chinese Academy of Sciences,Shanghai 201800,China 4 Shanghai Institute of Applied Physics,Chinese Academy of Sciences,Shanghai 201204,China.
