Objective： The arrival of precision medicine plan brings new opportunities and challenges for patients undergoing precision diagnosis and treatment of malignant tumors. With the development of medical imaging, inform...Objective： The arrival of precision medicine plan brings new opportunities and challenges for patients undergoing precision diagnosis and treatment of malignant tumors. With the development of medical imaging, information on different modality imaging can be integrated and comprehensively analyzed by imaging fusion system. This review aimed to update the application of multimodality imaging fusion technology in the precise diagnosis and treatment of malignant tumors under the precision medicine plan. We introduced several multimodality imaging fusion technologies and their application to the diagnosis and treatment of malignant tumors in clinical practice. Date Sources： The data cited in this review were obtained mainly from the PubMed database from 1996 to 2016, using the keywords of ＂precision medicine＂, ＂fusion imaging＂, ＂multimodality＂, and ＂tumor diagnosis and treatment＂. Study Selection： Original articles, clinical practice, reviews, and other relevant literatures published in English were reviewed. Papers focusing on precision medicine, fusion imaging, multimodality, and tumor diagnosis and treatment were selected. Duplicated papers were excluded. Results： Multimodality imaging fusion technology plays an important role in tumor diagnosis and treatment under the precision medicine plan, such as accurate location, qualitative diagnosis, tumor staging, treatment plan design, and real-time intraoperative monitoring. Multimodality imaging fusion systems could provide more imaging information of tumors from different dimensions and angles, thereby offing strong technical support for the implementation of precision oncology. Conclusion： Under the precision medicine plan, personalized treatment of tumors is a distinct possibility. We believe that multimodality imaging fusion technology will find an increasingly wide application in clinical practice.展开更多
Chronic pain often develops severe mood changes such as depression.However,how chronic pain leads to depression remains elusive and the mechanisms determining individuals’responses to depression are largely unexplore...Chronic pain often develops severe mood changes such as depression.However,how chronic pain leads to depression remains elusive and the mechanisms determining individuals’responses to depression are largely unexplored.Here we found that depression-like behaviors could only be observed in 67.9%of mice with chronic neuropathic pain,leaving 32.1%of mice with depression resilience.We determined that the spike discharges of the ventral tegmental area(VTA)-projecting lateral habenula(LHb)glutamatergic(Glu)neurons were sequentially increased in sham,resilient and susceptible mice,which consequently inhibited VTA dopaminergic(DA)neurons through a LHbGlu-VTAGABA-VTADA circuit.Furthermore,the LHbGlu-VTADA excitatory inputs were dampened via GABAB receptors in a pre-synaptic manner.Regulation of LHb-VTA pathway largely affected the development of depressive symptoms caused by chronic pain.Our study thus identifies a pivotal role of the LHb-VTA pathway in coupling chronic pain with depression and highlights the activity-dependent contribution of LHbGlu-to-VTADA inhibition in depressive behavioral regulation.展开更多
Electrocatalytic reduction of CO_(2)(CO_(2)RR)to multi-electron(>2e–)products provides a green and sustainable route for producing fuels and chemicals.Introducing the second metal element is a feasible strategy fo...Electrocatalytic reduction of CO_(2)(CO_(2)RR)to multi-electron(>2e–)products provides a green and sustainable route for producing fuels and chemicals.Introducing the second metal element is a feasible strategy for"managing"the key intermediate on Cu-based materials to further improve the CO_(2)RR catalytic performance.In this work,palladium,which promises the generation of CO,was introduced into the poly(ionic liquid)-based copper hybrid(Cu@PIL)to construct a novel Cu-Pd bimetallic electrocatalyst(Cu@PIL@Pd).Remarkably,with a small dosage of palladium(2.0 mol%compared with Cu),a high faradaic efficiency(FE)for C_(2+)products(68.7%)was achieved at–1.01 V(with respect to the reversible hydrogen electrode(RHE),the same below)with a high partial current density of 178.3 mA cm^(-2).Meanwhile,high selectivity towards CH4(FE=42.5%)and corresponding partial current density of 172.8 mA cm^(-2)were obtained on the same catalyst at–1.24 V,signifying a significant potential-dependent selectivity.Mechanistic studies reveal that both copper and palladium oxides are reduced to metallic states during the CO_(2)RR.The presence of the adjoint copper phase and the highly dispersed electrostatic layer promote the generation of CO on the palladium components(both the PdO_(2)phase and the Pd(II)site).Besides,the local CO^(*)was enriched by the significant diffusion resistance of CO in the PIL layer.The spillover of CO^(*)from Pd sites to the adjoint Cu sites,accompanied by the increased local concentration of CO^(*)around Cu sites,accounted for the observed good CO_(2)RR catalytic performance,especially the high C_(2+)product selectivity.展开更多
Spatially distributed systems （SDSs） are usually infinite-dimensional spatio-temporal systems with unknown nonlinearities. Therefore, to model such systems is difficult. In real applications, a low-dimensional model...Spatially distributed systems （SDSs） are usually infinite-dimensional spatio-temporal systems with unknown nonlinearities. Therefore, to model such systems is difficult. In real applications, a low-dimensional model is required. In this paper, a time/space separation based 3D fuzzy modeling approach is proposed for unknown nonlinear SDSs using input-output data measurement. The main characteristics of this approach is that time/space separation and time/space reconstruction are fused into a novel 3D fuzzy system. The modeling methodology includes two stages. The first stage is 3D fuzzy structure modeling which is based on Mamdani fuzzy rules. The consequent sets of 3D fuzzy rules consist of spatial basis functions estimated by Karhunen-Love decomposition. The antecedent sets of 3D fuzzy rules are used to construct temporal coefficients. Going through 3D fuzzy rule inference, each rule realizes time/space synthesis. The second stage is parameter identification of 3D fuzzy system using particle swarm optimization algorithm. After an operation of defuzzification, the output of the 3D fuzzy system can reconstruct the spatio-temporal dynamics of the system. The model is suitable for the prediction and control design of the SDS since it is of low-dimension and simple nonlinear structure. The simulation and experiment are presented to show the effectiveness of the proposed modeling approach.展开更多
Objective: To explore the clinical significance of serum S100B in chronic heart failure (CHF). Methods: A total of 300 patients with CHF of cardiac function levels II–IV were divided into three groups, and 300 normal...Objective: To explore the clinical significance of serum S100B in chronic heart failure (CHF). Methods: A total of 300 patients with CHF of cardiac function levels II–IV were divided into three groups, and 300 normal cases were selected as controls. Serum S100B, B-type natriuretic peptide (BNP), LVEF(%) and LVEDD were detected and analyzed. CHF patients were followed up for 1 year. Statistical analysis was performed using SPSS and Microsoft Excel. Results: The level of S100B in CHF patients was significantly increased, and the serum level was positively correlated with BNP. The serum S100B level was positively correlated with heart failure classification, and the area under ROC curve was 0.84. The sensitivity and specificity were 81.2% and 71.5%, respectively. Patients with high serum S100B were at higher risk of major cardiovascular events. Conclusion: Serum S100B level is significantly increased in patients with chronic heart failure, and is negatively correlated with the patients' cardiac function. It is an independent risk factor for the occurrence and development of chronic heart failure, and it has implications for the prognosis of patients with chronic heart failure.展开更多
文摘Objective： The arrival of precision medicine plan brings new opportunities and challenges for patients undergoing precision diagnosis and treatment of malignant tumors. With the development of medical imaging, information on different modality imaging can be integrated and comprehensively analyzed by imaging fusion system. This review aimed to update the application of multimodality imaging fusion technology in the precise diagnosis and treatment of malignant tumors under the precision medicine plan. We introduced several multimodality imaging fusion technologies and their application to the diagnosis and treatment of malignant tumors in clinical practice. Date Sources： The data cited in this review were obtained mainly from the PubMed database from 1996 to 2016, using the keywords of ＂precision medicine＂, ＂fusion imaging＂, ＂multimodality＂, and ＂tumor diagnosis and treatment＂. Study Selection： Original articles, clinical practice, reviews, and other relevant literatures published in English were reviewed. Papers focusing on precision medicine, fusion imaging, multimodality, and tumor diagnosis and treatment were selected. Duplicated papers were excluded. Results： Multimodality imaging fusion technology plays an important role in tumor diagnosis and treatment under the precision medicine plan, such as accurate location, qualitative diagnosis, tumor staging, treatment plan design, and real-time intraoperative monitoring. Multimodality imaging fusion systems could provide more imaging information of tumors from different dimensions and angles, thereby offing strong technical support for the implementation of precision oncology. Conclusion： Under the precision medicine plan, personalized treatment of tumors is a distinct possibility. We believe that multimodality imaging fusion technology will find an increasingly wide application in clinical practice.
基金This work was supported by the National Natural Science Foundation of China(32192410,32071000,81870866,81571074,82230037,81971226,81620108008,82130034)the Foundation for Distinguished Young Scholars of ShaanXi(2019JC-21,2021JC-33)+1 种基金Young Scholar Project of the First Affiliated Hospital of Nanchang University(YFYPY202109)the Boost Plan of Xijing Hospital(XJZT21J01).
文摘Chronic pain often develops severe mood changes such as depression.However,how chronic pain leads to depression remains elusive and the mechanisms determining individuals’responses to depression are largely unexplored.Here we found that depression-like behaviors could only be observed in 67.9%of mice with chronic neuropathic pain,leaving 32.1%of mice with depression resilience.We determined that the spike discharges of the ventral tegmental area(VTA)-projecting lateral habenula(LHb)glutamatergic(Glu)neurons were sequentially increased in sham,resilient and susceptible mice,which consequently inhibited VTA dopaminergic(DA)neurons through a LHbGlu-VTAGABA-VTADA circuit.Furthermore,the LHbGlu-VTADA excitatory inputs were dampened via GABAB receptors in a pre-synaptic manner.Regulation of LHb-VTA pathway largely affected the development of depressive symptoms caused by chronic pain.Our study thus identifies a pivotal role of the LHb-VTA pathway in coupling chronic pain with depression and highlights the activity-dependent contribution of LHbGlu-to-VTADA inhibition in depressive behavioral regulation.
基金Key Research Program of Frontier Sciences,CAS(ZDBS-LY-JSC022)Excellent Young Scientists Fund(22022815)+1 种基金National Natural Science Foundation of China(U1704251 and 21776291)Zhengzhou High Level Talent Certificate(20180200052)is gratefully acknowledged.
文摘Electrocatalytic reduction of CO_(2)(CO_(2)RR)to multi-electron(>2e–)products provides a green and sustainable route for producing fuels and chemicals.Introducing the second metal element is a feasible strategy for"managing"the key intermediate on Cu-based materials to further improve the CO_(2)RR catalytic performance.In this work,palladium,which promises the generation of CO,was introduced into the poly(ionic liquid)-based copper hybrid(Cu@PIL)to construct a novel Cu-Pd bimetallic electrocatalyst(Cu@PIL@Pd).Remarkably,with a small dosage of palladium(2.0 mol%compared with Cu),a high faradaic efficiency(FE)for C_(2+)products(68.7%)was achieved at–1.01 V(with respect to the reversible hydrogen electrode(RHE),the same below)with a high partial current density of 178.3 mA cm^(-2).Meanwhile,high selectivity towards CH4(FE=42.5%)and corresponding partial current density of 172.8 mA cm^(-2)were obtained on the same catalyst at–1.24 V,signifying a significant potential-dependent selectivity.Mechanistic studies reveal that both copper and palladium oxides are reduced to metallic states during the CO_(2)RR.The presence of the adjoint copper phase and the highly dispersed electrostatic layer promote the generation of CO on the palladium components(both the PdO_(2)phase and the Pd(II)site).Besides,the local CO^(*)was enriched by the significant diffusion resistance of CO in the PIL layer.The spillover of CO^(*)from Pd sites to the adjoint Cu sites,accompanied by the increased local concentration of CO^(*)around Cu sites,accounted for the observed good CO_(2)RR catalytic performance,especially the high C_(2+)product selectivity.
基金supported by National Science Foundation of China(Nos.61273182,31570998,51375293 and 61374112)
文摘Spatially distributed systems （SDSs） are usually infinite-dimensional spatio-temporal systems with unknown nonlinearities. Therefore, to model such systems is difficult. In real applications, a low-dimensional model is required. In this paper, a time/space separation based 3D fuzzy modeling approach is proposed for unknown nonlinear SDSs using input-output data measurement. The main characteristics of this approach is that time/space separation and time/space reconstruction are fused into a novel 3D fuzzy system. The modeling methodology includes two stages. The first stage is 3D fuzzy structure modeling which is based on Mamdani fuzzy rules. The consequent sets of 3D fuzzy rules consist of spatial basis functions estimated by Karhunen-Love decomposition. The antecedent sets of 3D fuzzy rules are used to construct temporal coefficients. Going through 3D fuzzy rule inference, each rule realizes time/space synthesis. The second stage is parameter identification of 3D fuzzy system using particle swarm optimization algorithm. After an operation of defuzzification, the output of the 3D fuzzy system can reconstruct the spatio-temporal dynamics of the system. The model is suitable for the prediction and control design of the SDS since it is of low-dimension and simple nonlinear structure. The simulation and experiment are presented to show the effectiveness of the proposed modeling approach.
基金Hainan Natural Science Foundation Project.Project No:817336.
文摘Objective: To explore the clinical significance of serum S100B in chronic heart failure (CHF). Methods: A total of 300 patients with CHF of cardiac function levels II–IV were divided into three groups, and 300 normal cases were selected as controls. Serum S100B, B-type natriuretic peptide (BNP), LVEF(%) and LVEDD were detected and analyzed. CHF patients were followed up for 1 year. Statistical analysis was performed using SPSS and Microsoft Excel. Results: The level of S100B in CHF patients was significantly increased, and the serum level was positively correlated with BNP. The serum S100B level was positively correlated with heart failure classification, and the area under ROC curve was 0.84. The sensitivity and specificity were 81.2% and 71.5%, respectively. Patients with high serum S100B were at higher risk of major cardiovascular events. Conclusion: Serum S100B level is significantly increased in patients with chronic heart failure, and is negatively correlated with the patients' cardiac function. It is an independent risk factor for the occurrence and development of chronic heart failure, and it has implications for the prognosis of patients with chronic heart failure.
