To address the severe electromagnetic(EM)pollution and thermal exhaustion issues in modern electronics,C@Mn_(x)O_(y) foams were first reported as an advanced multifunctional filler with superior microwave absorption,R...To address the severe electromagnetic(EM)pollution and thermal exhaustion issues in modern electronics,C@Mn_(x)O_(y) foams were first reported as an advanced multifunctional filler with superior microwave absorption,Radar wave stealth,and thermal dissipation.They were synthesized using a simple one-step annealing route,in which PVP and in-situ generated gas bubbles play a crucial role in the foam formation.Our results show that the C@Mn_(x)O_(y) foams possess excellent electrical insulation and a large thermal conductivity of 3.58 W(m K)^(–1) at a low load of 5 wt.%.Also,they exhibit prominent microwave absorption capabilities(MWACs)with a strong absorption(–46.03 dB)and a wide bandwidth(11.04 GHz)in a low load(30 wt.%).When they are then used as a patch,the wideband Radar cross-section can be effectively reduced by up to 41.34 dB m^(2).This performance outperforms most other heterostructures.Furthermore,the mechanism of dielectric loss and thermal transfer at the atomic level is revealed by the First-principle calculations of the density of states(DOS)and the phonon density of states(PDOS).The combination of C,MnO,and Mn_(3)O_(4) disrupts local microstructure symmetry and induces extra electrical dipoles at the heterointerfaces,benefiting the enhanced MWACs of C@Mn_(x)O_(y) foams along with defect polarization and multiple scattering.Their enhanced TC could be credited to the co-transmission of low phonon-boundary/phonon-defect scattering and multiple-frequency phonons from C,MnO,and Mn_(3)O_(4).Overall,the C@Mn_(x)O_(y) foams are highly promising for application in EM protection,absorption,and thermal management.What is more,this study provides a theoretical guide for designing heterostructures as effective microwave absorbing and thermally conductive materials used in modern electronics.展开更多
Background:Medulloblastoma(MB)is one of the most common malignant brain tumors that mainly affect children.Various approaches have been used to model MB to facilitate investigating tumorigenesis.This study aims to com...Background:Medulloblastoma(MB)is one of the most common malignant brain tumors that mainly affect children.Various approaches have been used to model MB to facilitate investigating tumorigenesis.This study aims to compare the recapitulation of MB between subcutaneous patient-derived xenograft(sPDX),intracranial patient-derived xenograft(iPDX),and genetically engineered mouse models(GEMM)at the single-cell level.Methods:We obtained primary human sonic hedgehog(SHH)and group 3(G3)MB samples from six patients.For each patient specimen,we developed two sPDX and iPDX models,respectively.Three Patch+/-GEMM models were also included for sequencing.Single-cell RNA sequencing was performed to compare gene expression profiles,cellular composition,and functional pathway enrichment.Bulk RNA-seq deconvolution was performed to compare cellular composition across models and human samples.Results:Our results showed that the sPDX tumor model demonstrated the highest correlation to the overall transcriptomic profiles of primary human tumors at the single-cell level within the SHH and G3 subgroups,followed by the GEMM model and iPDX.The GEMM tumor model was able to recapitulate all subpopulations of tumor microenvironment(TME)cells that can be clustered in human SHH tumors,including a higher proportion of tumor-associated astrocytes and immune cells,and an additional cluster of vascular endothelia when compared to human SHH tumors.Conclusions:This study was the first to compare experimental models for MB at the single-cell level,providing value insights into model selection for different research purposes.sPDX and iPDX are suitable for drug testing and personalized therapy screenings,whereas GEMM models are valuable for investigating the interaction between tumor and TME cells.展开更多
Hollow fibre cell fishing with HPLC (HFCF-HPLC) based on the human ovarian cancer cell line SKOV-3, human renal tubular cell line ACHN or hepatoma cell line HepG-2 was employed to screen active groups of coumarin and ...Hollow fibre cell fishing with HPLC (HFCF-HPLC) based on the human ovarian cancer cell line SKOV-3, human renal tubular cell line ACHN or hepatoma cell line HepG-2 was employed to screen active groups of coumarin and volatile oil in Radix angelicae sinensis, Radix angelicae dahuricae and Fructus citri sarcodactylis. Simultaneously, hollow fibre liquid phase microextraction with HPLC (HFLPME-HPLC) was conducted to enrich and determine the contents of active components in the same sample solution. Before application, for HFCF-HPLC, cells growth states and survival rates on the fibre, effect of ethanol concentration in the extract of samples on cell survival rates, non-specific binding between fibre active centres and the target components, positive and negative controls and repeatabilities were validated;for HFLPME, extraction solvent, sample phase pH, agitation speed, extraction time and sample phase volume were investigated. Many active components were screened from three medicines. Some of them, such as scoparone, psoralen, bergapten, oxypeucedanin, imperatorin, ligustilide, were identified by MS. The target fishing factors of active components and the cell apoptosis rates of three cells under the medicines effect were researched. The binding sites of active groups on HepG-2 cells were preliminarily determined. The results demonstrated that HFCF-HPLC, coupled with HFLPME-HPLC, is a simple and universal approach to find bioactive components at the cellular level, determine their content and research traditional Chinese medicines (TCMs) entirety effect of multi-component and multi-target. The approach may provide us a new and good solution to clarify the material basis of anti-cancer effect and conduct personalized quality control for the components associated with efficacy in TCMs.展开更多
To investigate the therapeutic effect of Jianpi Qingchang decoction (JPQCD) on dextran sulfate sodium (DSS)-induced ulcerative colitis (UC) in mice.METHODSC57BL/c mice were injected intragastrically with 5% DSS instea...To investigate the therapeutic effect of Jianpi Qingchang decoction (JPQCD) on dextran sulfate sodium (DSS)-induced ulcerative colitis (UC) in mice.METHODSC57BL/c mice were injected intragastrically with 5% DSS instead of drinking water for 7 d, and their body weight, diarrhea severity and fecal bleeding were monitored, while the mice in the control group were treated with standard drinking water, without DSS. After 7 d, the DSS drinking water was changed to normal water and the DSS group continued with DSS water. The control and DSS groups were given normal saline by intragastric injection. The 5-aminosalicylic acid (5-ASA) group was treated orally with 5-ASA at a dose of 100 mg/kg daily. The JPQCD group was treated orally with JPQCD at a dose of 17.1 g/kg daily. On day 14, the colon length was measured, the colorectal histopathological damage score was assessed, and protein levels of interleukin (IL)-1β, IL-8 and tumor necrosis factor-alpha (TNF-α) in colon supernatants were measured by enzyme-linked immunosorbent assay. mRNA expression of IL-1β, IL-8, TNF-α and nuclear factor-kappa B (NF-κB) was detected by real-time quantitative polymerase chain reaction. Western blotting was used to detect the protein expression of NF-κB and inhibitor of kappa B.RESULTSAcute inflammation occurred in the mice administered DSS, including the symptoms of losing body weight, loose feces/watery diarrhea and presence of fecal blood; all these symptoms worsened at 7 d. The colons of mice treated with DSS were assessed by histological examination, and the results confirmed that acute inflammation had occurred, as evidenced by loss of colonic mucosa and chronic inflammatory cell infiltration, and these features extended into the deeper layer of the colon walls. The expression levels of IL-1β, IL-8 and TNF-α in the DSS group were higher than those in the control group (P < 0.05), and the expression levels of IL-1β, IL-8 and TNF-α in the JPQCD and 5-ASA groups were lower than those in the DSS group after treating with JPQCD and 5-ASA. Comparing with the DSS group, the mRNA level of IL-1β, IL-8, TNF-α and NF-κB was significantly reduced by 5-ASA and JPQCD. The difference between JPQCD and 5-ASA groups was not statistically significant (P > 0.05). Comparing with the DSS group, due to using JPQCD and 5-ASA, significant suppression of activation in DSS-induced NF-κB and increased phosphorylation of IκB in mice with experimental colitis occurred (P < 0.05). The difference between the JPQCD group and the 5-ASA group was not statistically significant (P > 0.05).CONCLUSIONActivation of the NF-κB signaling pathway is inhibited by JPQCD, which shows the potential mechanism by which JPQCD treats UC.展开更多
AIM To investigate the underlying effect of Jianpi Qingchang decoction(JQD) regulating intestinal motility of dextran sulfate sodium(DSS)-induced colitis in mice. METHODS C57BL/6 mice were randomly divided into four g...AIM To investigate the underlying effect of Jianpi Qingchang decoction(JQD) regulating intestinal motility of dextran sulfate sodium(DSS)-induced colitis in mice. METHODS C57BL/6 mice were randomly divided into four groups: the control group, the DSS group, the JQD group, and the 5-aminosalicylic acid group. Except for the control group, colitis was induced in other groups by giving distilled water containing 5% DSS. Seven days after modeling, the mice were administered corresponding drugs intragastrically. The mice were sacrificed on the 15^(th) day. The disease activity index, macroscopic and histopathologic lesions, and ultrastructure of colon interstitial cells of Cajal(ICC) were observed. The levels of tumor necrosis factor-alpha(TNF-α), interleukin(IL)-1β, IL-10 and interferon gamma(IFN-γ), the expression of nuclear factor-kappa B(NF-κB) p65, c-kit, microtubule-associated protein 1 light chain 3(LC3-Ⅱ) and Beclin-l m RNA, and the colonic smooth muscle tension were assessed. RESULTS Acute inflammation occurred in the mice administered DSS. Compared with the control group, the levels of IL-1β, TNF-α, IL-10 and IFN-γ, the expression of LC3-Ⅱ, Beclin-1 and NF-κB p65 m RNA, and the contractile frequency increased(P < 0.05), the expression of c-kit m RNA and the colonic smooth muscle contractile amplitude decreased in the DSS group(P < 0.05). Compared with the DSS group, the levels of IL-10 and IFN-γ, the expression of c-kit m RNA, and the colonic smooth muscle contractile amplitude increased(P < 0.05), the levels of TNF-α and IL-1β, the expression of LC3-Ⅱ, Beclin-1 and NF-κB p65 m RNA, and the contractile frequency decreased in the JQD group(P < 0.05).CONCLUSION JQD can regulate the intestinal motility of DSS-induced colitis in mice through suppressing intestinal inflammatory cascade reaction, reducing autophagy of ICC, and regulating the network path of ICC/smooth muscle cells.展开更多
Vehicle re-identification(ReID)aims to retrieve the target vehicle in an extensive image gallery through its appearances from various views in the cross-camera scenario.It has gradually become a core technology of int...Vehicle re-identification(ReID)aims to retrieve the target vehicle in an extensive image gallery through its appearances from various views in the cross-camera scenario.It has gradually become a core technology of intelligent transportation system.Most existing vehicle re-identification models adopt the joint learning of global and local features.However,they directly use the extracted global features,resulting in insufficient feature expression.Moreover,local features are primarily obtained through advanced annotation and complex attention mechanisms,which require additional costs.To solve this issue,a multi-feature learning model with enhanced local attention for vehicle re-identification(MFELA)is proposed in this paper.The model consists of global and local branches.The global branch utilizes both middle and highlevel semantic features of ResNet50 to enhance the global representation capability.In addition,multi-scale pooling operations are used to obtain multiscale information.While the local branch utilizes the proposed Region Batch Dropblock(RBD),which encourages the model to learn discriminative features for different local regions and simultaneously drops corresponding same areas randomly in a batch during training to enhance the attention to local regions.Then features from both branches are combined to provide a more comprehensive and distinctive feature representation.Extensive experiments on VeRi-776 and VehicleID datasets prove that our method has excellent performance.展开更多
Objective:Traditional Chinese medicine plays a significant role in the treatment of the pandemic of coronavirus disease 2019(COVID-19).Tanreqing Capsule(TRQC)was used in the treatment of COVID-19 patients in the Shang...Objective:Traditional Chinese medicine plays a significant role in the treatment of the pandemic of coronavirus disease 2019(COVID-19).Tanreqing Capsule(TRQC)was used in the treatment of COVID-19 patients in the Shanghai Public Health Clinical Center.This study aimed to investigate the clinical efficacy of TRQC in the treatment of COVID-19.Methods:A retrospective cohort study was conducted on 82 patients who had laboratory-confirmed mild and moderate COVID-19;patients were treated with TRQC in one designated hospital.The treatment and control groups consisted of 25 and 57 cases,respectively.The treatment group was given TRQC orally three times a day,three pills each time,in addition to conventional Western medicine treatments which were also administered to the control group.The clinical efficacy indicators,such as the negative conversion time of pharyngeal swab nucleic acid,the negative conversion time of fecal nucleic acid,the duration of negative conversion of pharyngeal-fecal nucleic acid,and the improvement in the level of immune indicators such as T-cell subsets(CD3,CD4 and CD45)were monitored.Results:COVID-19 patients in the treatment group,compared to the control group,had a shorter negative conversion time of fecal nucleic acid(4 vs.9 days,P=0.047)and a shorter interval of negative conversion of pharyngeal-fecal nucleic acid(0 vs.2 days,P=0.042).The level of CD3+T cells increased in the treatment group compared to the control group([317.09±274.39]vs.[175.02±239.95]counts/l L,P=0.030).No statistically significant differences were detected in the median improvement in levels of CD4+T cells(173 vs.107 counts/l L,P=0.208)and CD45+T cells(366 vs.141 counts/l L,P=0.117)between the treatment and control groups.Conclusion:Significant reductions in the negative conversion time of fecal nucleic acid and the duration of negative conversion of pharyngeal-fecal nucleic acid were identified in the treatment group as compared to the control group,illustrating the potential therapeutic benefits of using TRQC as a complement to conventional medicine in patients with mild and moderate COVID-19.The underlying mechanism may be related to the improved levels of the immune indicator CD3+T cells.展开更多
With the increasing application of surveillance cameras,vehicle re-identication(Re-ID)has attracted more attention in the eld of public security.Vehicle Re-ID meets challenge attributable to the large intra-class diff...With the increasing application of surveillance cameras,vehicle re-identication(Re-ID)has attracted more attention in the eld of public security.Vehicle Re-ID meets challenge attributable to the large intra-class differences caused by different views of vehicles in the traveling process and obvious inter-class similarities caused by similar appearances.Plentiful existing methods focus on local attributes by marking local locations.However,these methods require additional annotations,resulting in complex algorithms and insufferable computation time.To cope with these challenges,this paper proposes a vehicle Re-ID model based on optimized DenseNet121 with joint loss.This model applies the SE block to automatically obtain the importance of each channel feature and assign the corresponding weight to it,then features are transferred to the deep layer by adjusting the corresponding weights,which reduces the transmission of redundant information in the process of feature reuse in DenseNet121.At the same time,the proposed model leverages the complementary expression advantages of middle features of the CNN to enhance the feature expression ability.Additionally,a joint loss with focal loss and triplet loss is proposed in vehicle Re-ID to enhance the model’s ability to discriminate difcult-to-separate samples by enlarging the weight of the difcult-to-separate samples during the training process.Experimental results on the VeRi-776 dataset show that mAP and Rank-1 reach 75.5%and 94.8%,respectively.Besides,Rank-1 on small,medium and large sub-datasets of Vehicle ID dataset reach 81.3%,78.9%,and 76.5%,respectively,which surpasses most existing vehicle Re-ID methods.展开更多
基金financially supported by the National Natural Science Foundation of China(No.52073260)the Zhejiang Provincial Natural Science Foundation of China(Nos.LGG21E020002 and LZ24E020004)the Major industrial projects of Jinhua City(No.2024A11011).
文摘To address the severe electromagnetic(EM)pollution and thermal exhaustion issues in modern electronics,C@Mn_(x)O_(y) foams were first reported as an advanced multifunctional filler with superior microwave absorption,Radar wave stealth,and thermal dissipation.They were synthesized using a simple one-step annealing route,in which PVP and in-situ generated gas bubbles play a crucial role in the foam formation.Our results show that the C@Mn_(x)O_(y) foams possess excellent electrical insulation and a large thermal conductivity of 3.58 W(m K)^(–1) at a low load of 5 wt.%.Also,they exhibit prominent microwave absorption capabilities(MWACs)with a strong absorption(–46.03 dB)and a wide bandwidth(11.04 GHz)in a low load(30 wt.%).When they are then used as a patch,the wideband Radar cross-section can be effectively reduced by up to 41.34 dB m^(2).This performance outperforms most other heterostructures.Furthermore,the mechanism of dielectric loss and thermal transfer at the atomic level is revealed by the First-principle calculations of the density of states(DOS)and the phonon density of states(PDOS).The combination of C,MnO,and Mn_(3)O_(4) disrupts local microstructure symmetry and induces extra electrical dipoles at the heterointerfaces,benefiting the enhanced MWACs of C@Mn_(x)O_(y) foams along with defect polarization and multiple scattering.Their enhanced TC could be credited to the co-transmission of low phonon-boundary/phonon-defect scattering and multiple-frequency phonons from C,MnO,and Mn_(3)O_(4).Overall,the C@Mn_(x)O_(y) foams are highly promising for application in EM protection,absorption,and thermal management.What is more,this study provides a theoretical guide for designing heterostructures as effective microwave absorbing and thermally conductive materials used in modern electronics.
基金National Key Research and Development Program of China,Grant/Award Number:2022ZD0210100Beijing Nova Star Program,Grant/Award Number:2022002+2 种基金Natural Science Foundation of Beijing and Haidian Collaboration Foundation,Grant/Award Number:L232079National Natural Science Foundation of China,Grant/Award Number:82172608,82273343,81902975 and 82101356Capital Medical University Fund for Excellent Young Scholars,Grant/Award Number:KCB2304。
文摘Background:Medulloblastoma(MB)is one of the most common malignant brain tumors that mainly affect children.Various approaches have been used to model MB to facilitate investigating tumorigenesis.This study aims to compare the recapitulation of MB between subcutaneous patient-derived xenograft(sPDX),intracranial patient-derived xenograft(iPDX),and genetically engineered mouse models(GEMM)at the single-cell level.Methods:We obtained primary human sonic hedgehog(SHH)and group 3(G3)MB samples from six patients.For each patient specimen,we developed two sPDX and iPDX models,respectively.Three Patch+/-GEMM models were also included for sequencing.Single-cell RNA sequencing was performed to compare gene expression profiles,cellular composition,and functional pathway enrichment.Bulk RNA-seq deconvolution was performed to compare cellular composition across models and human samples.Results:Our results showed that the sPDX tumor model demonstrated the highest correlation to the overall transcriptomic profiles of primary human tumors at the single-cell level within the SHH and G3 subgroups,followed by the GEMM model and iPDX.The GEMM tumor model was able to recapitulate all subpopulations of tumor microenvironment(TME)cells that can be clustered in human SHH tumors,including a higher proportion of tumor-associated astrocytes and immune cells,and an additional cluster of vascular endothelia when compared to human SHH tumors.Conclusions:This study was the first to compare experimental models for MB at the single-cell level,providing value insights into model selection for different research purposes.sPDX and iPDX are suitable for drug testing and personalized therapy screenings,whereas GEMM models are valuable for investigating the interaction between tumor and TME cells.
文摘Hollow fibre cell fishing with HPLC (HFCF-HPLC) based on the human ovarian cancer cell line SKOV-3, human renal tubular cell line ACHN or hepatoma cell line HepG-2 was employed to screen active groups of coumarin and volatile oil in Radix angelicae sinensis, Radix angelicae dahuricae and Fructus citri sarcodactylis. Simultaneously, hollow fibre liquid phase microextraction with HPLC (HFLPME-HPLC) was conducted to enrich and determine the contents of active components in the same sample solution. Before application, for HFCF-HPLC, cells growth states and survival rates on the fibre, effect of ethanol concentration in the extract of samples on cell survival rates, non-specific binding between fibre active centres and the target components, positive and negative controls and repeatabilities were validated;for HFLPME, extraction solvent, sample phase pH, agitation speed, extraction time and sample phase volume were investigated. Many active components were screened from three medicines. Some of them, such as scoparone, psoralen, bergapten, oxypeucedanin, imperatorin, ligustilide, were identified by MS. The target fishing factors of active components and the cell apoptosis rates of three cells under the medicines effect were researched. The binding sites of active groups on HepG-2 cells were preliminarily determined. The results demonstrated that HFCF-HPLC, coupled with HFLPME-HPLC, is a simple and universal approach to find bioactive components at the cellular level, determine their content and research traditional Chinese medicines (TCMs) entirety effect of multi-component and multi-target. The approach may provide us a new and good solution to clarify the material basis of anti-cancer effect and conduct personalized quality control for the components associated with efficacy in TCMs.
基金Supported by the National Natural Science Foundation of China,No.81403355 and No.81573892the Project of 3-Year Action Plan for Shanghai Municipal Chinese Medicine Development,No.ZY3-RCPY-2-2001
文摘To investigate the therapeutic effect of Jianpi Qingchang decoction (JPQCD) on dextran sulfate sodium (DSS)-induced ulcerative colitis (UC) in mice.METHODSC57BL/c mice were injected intragastrically with 5% DSS instead of drinking water for 7 d, and their body weight, diarrhea severity and fecal bleeding were monitored, while the mice in the control group were treated with standard drinking water, without DSS. After 7 d, the DSS drinking water was changed to normal water and the DSS group continued with DSS water. The control and DSS groups were given normal saline by intragastric injection. The 5-aminosalicylic acid (5-ASA) group was treated orally with 5-ASA at a dose of 100 mg/kg daily. The JPQCD group was treated orally with JPQCD at a dose of 17.1 g/kg daily. On day 14, the colon length was measured, the colorectal histopathological damage score was assessed, and protein levels of interleukin (IL)-1β, IL-8 and tumor necrosis factor-alpha (TNF-α) in colon supernatants were measured by enzyme-linked immunosorbent assay. mRNA expression of IL-1β, IL-8, TNF-α and nuclear factor-kappa B (NF-κB) was detected by real-time quantitative polymerase chain reaction. Western blotting was used to detect the protein expression of NF-κB and inhibitor of kappa B.RESULTSAcute inflammation occurred in the mice administered DSS, including the symptoms of losing body weight, loose feces/watery diarrhea and presence of fecal blood; all these symptoms worsened at 7 d. The colons of mice treated with DSS were assessed by histological examination, and the results confirmed that acute inflammation had occurred, as evidenced by loss of colonic mucosa and chronic inflammatory cell infiltration, and these features extended into the deeper layer of the colon walls. The expression levels of IL-1β, IL-8 and TNF-α in the DSS group were higher than those in the control group (P < 0.05), and the expression levels of IL-1β, IL-8 and TNF-α in the JPQCD and 5-ASA groups were lower than those in the DSS group after treating with JPQCD and 5-ASA. Comparing with the DSS group, the mRNA level of IL-1β, IL-8, TNF-α and NF-κB was significantly reduced by 5-ASA and JPQCD. The difference between JPQCD and 5-ASA groups was not statistically significant (P > 0.05). Comparing with the DSS group, due to using JPQCD and 5-ASA, significant suppression of activation in DSS-induced NF-κB and increased phosphorylation of IκB in mice with experimental colitis occurred (P < 0.05). The difference between the JPQCD group and the 5-ASA group was not statistically significant (P > 0.05).CONCLUSIONActivation of the NF-κB signaling pathway is inhibited by JPQCD, which shows the potential mechanism by which JPQCD treats UC.
基金Supported by the National Natural Science Foundation of China,No.81403355 and No.81573892the Project of 3-Year Action Plan for Shanghai Municipal Chinese Medicine Development,No.ZY3-RCPY-2-2001
文摘AIM To investigate the underlying effect of Jianpi Qingchang decoction(JQD) regulating intestinal motility of dextran sulfate sodium(DSS)-induced colitis in mice. METHODS C57BL/6 mice were randomly divided into four groups: the control group, the DSS group, the JQD group, and the 5-aminosalicylic acid group. Except for the control group, colitis was induced in other groups by giving distilled water containing 5% DSS. Seven days after modeling, the mice were administered corresponding drugs intragastrically. The mice were sacrificed on the 15^(th) day. The disease activity index, macroscopic and histopathologic lesions, and ultrastructure of colon interstitial cells of Cajal(ICC) were observed. The levels of tumor necrosis factor-alpha(TNF-α), interleukin(IL)-1β, IL-10 and interferon gamma(IFN-γ), the expression of nuclear factor-kappa B(NF-κB) p65, c-kit, microtubule-associated protein 1 light chain 3(LC3-Ⅱ) and Beclin-l m RNA, and the colonic smooth muscle tension were assessed. RESULTS Acute inflammation occurred in the mice administered DSS. Compared with the control group, the levels of IL-1β, TNF-α, IL-10 and IFN-γ, the expression of LC3-Ⅱ, Beclin-1 and NF-κB p65 m RNA, and the contractile frequency increased(P < 0.05), the expression of c-kit m RNA and the colonic smooth muscle contractile amplitude decreased in the DSS group(P < 0.05). Compared with the DSS group, the levels of IL-10 and IFN-γ, the expression of c-kit m RNA, and the colonic smooth muscle contractile amplitude increased(P < 0.05), the levels of TNF-α and IL-1β, the expression of LC3-Ⅱ, Beclin-1 and NF-κB p65 m RNA, and the contractile frequency decreased in the JQD group(P < 0.05).CONCLUSION JQD can regulate the intestinal motility of DSS-induced colitis in mice through suppressing intestinal inflammatory cascade reaction, reducing autophagy of ICC, and regulating the network path of ICC/smooth muscle cells.
基金This work was supported,in part,by the National Nature Science Foundation of China under Grant Numbers 61502240,61502096,61304205,61773219in part,by the Natural Science Foundation of Jiangsu Province under grant numbers BK20201136,BK20191401+1 种基金in part,by the Postgraduate Research&Practice Innovation Program of Jiangsu Province under Grant Numbers SJCX21_0363in part,by the Priority Academic Program Development of Jiangsu Higher Education Institutions(PAPD)fund.
文摘Vehicle re-identification(ReID)aims to retrieve the target vehicle in an extensive image gallery through its appearances from various views in the cross-camera scenario.It has gradually become a core technology of intelligent transportation system.Most existing vehicle re-identification models adopt the joint learning of global and local features.However,they directly use the extracted global features,resulting in insufficient feature expression.Moreover,local features are primarily obtained through advanced annotation and complex attention mechanisms,which require additional costs.To solve this issue,a multi-feature learning model with enhanced local attention for vehicle re-identification(MFELA)is proposed in this paper.The model consists of global and local branches.The global branch utilizes both middle and highlevel semantic features of ResNet50 to enhance the global representation capability.In addition,multi-scale pooling operations are used to obtain multiscale information.While the local branch utilizes the proposed Region Batch Dropblock(RBD),which encourages the model to learn discriminative features for different local regions and simultaneously drops corresponding same areas randomly in a batch during training to enhance the attention to local regions.Then features from both branches are combined to provide a more comprehensive and distinctive feature representation.Extensive experiments on VeRi-776 and VehicleID datasets prove that our method has excellent performance.
基金supported by Emergency Scientific Research Project of Shanghai Health Committee and Shanghai Administration of Traditional Chinese Medicine(No.2020YJ01)Shanghai Key Laboratory of Traditional Chinese Clinical Medicine(No.14DZ2273200)Shanghai Key Clinical Specialty(No.SHSLCZDZK05101)。
文摘Objective:Traditional Chinese medicine plays a significant role in the treatment of the pandemic of coronavirus disease 2019(COVID-19).Tanreqing Capsule(TRQC)was used in the treatment of COVID-19 patients in the Shanghai Public Health Clinical Center.This study aimed to investigate the clinical efficacy of TRQC in the treatment of COVID-19.Methods:A retrospective cohort study was conducted on 82 patients who had laboratory-confirmed mild and moderate COVID-19;patients were treated with TRQC in one designated hospital.The treatment and control groups consisted of 25 and 57 cases,respectively.The treatment group was given TRQC orally three times a day,three pills each time,in addition to conventional Western medicine treatments which were also administered to the control group.The clinical efficacy indicators,such as the negative conversion time of pharyngeal swab nucleic acid,the negative conversion time of fecal nucleic acid,the duration of negative conversion of pharyngeal-fecal nucleic acid,and the improvement in the level of immune indicators such as T-cell subsets(CD3,CD4 and CD45)were monitored.Results:COVID-19 patients in the treatment group,compared to the control group,had a shorter negative conversion time of fecal nucleic acid(4 vs.9 days,P=0.047)and a shorter interval of negative conversion of pharyngeal-fecal nucleic acid(0 vs.2 days,P=0.042).The level of CD3+T cells increased in the treatment group compared to the control group([317.09±274.39]vs.[175.02±239.95]counts/l L,P=0.030).No statistically significant differences were detected in the median improvement in levels of CD4+T cells(173 vs.107 counts/l L,P=0.208)and CD45+T cells(366 vs.141 counts/l L,P=0.117)between the treatment and control groups.Conclusion:Significant reductions in the negative conversion time of fecal nucleic acid and the duration of negative conversion of pharyngeal-fecal nucleic acid were identified in the treatment group as compared to the control group,illustrating the potential therapeutic benefits of using TRQC as a complement to conventional medicine in patients with mild and moderate COVID-19.The underlying mechanism may be related to the improved levels of the immune indicator CD3+T cells.
基金supported,in part,by the National Nature Science Foundation of China under Grant Numbers 61502240,61502096,61304205,61773219in part,by the Natural Science Foundation of Jiangsu Province under Grant Numbers BK20201136,BK20191401in part,by the Priority Academic Program Development of Jiangsu Higher Education Institutions(PAPD)fund.
文摘With the increasing application of surveillance cameras,vehicle re-identication(Re-ID)has attracted more attention in the eld of public security.Vehicle Re-ID meets challenge attributable to the large intra-class differences caused by different views of vehicles in the traveling process and obvious inter-class similarities caused by similar appearances.Plentiful existing methods focus on local attributes by marking local locations.However,these methods require additional annotations,resulting in complex algorithms and insufferable computation time.To cope with these challenges,this paper proposes a vehicle Re-ID model based on optimized DenseNet121 with joint loss.This model applies the SE block to automatically obtain the importance of each channel feature and assign the corresponding weight to it,then features are transferred to the deep layer by adjusting the corresponding weights,which reduces the transmission of redundant information in the process of feature reuse in DenseNet121.At the same time,the proposed model leverages the complementary expression advantages of middle features of the CNN to enhance the feature expression ability.Additionally,a joint loss with focal loss and triplet loss is proposed in vehicle Re-ID to enhance the model’s ability to discriminate difcult-to-separate samples by enlarging the weight of the difcult-to-separate samples during the training process.Experimental results on the VeRi-776 dataset show that mAP and Rank-1 reach 75.5%and 94.8%,respectively.Besides,Rank-1 on small,medium and large sub-datasets of Vehicle ID dataset reach 81.3%,78.9%,and 76.5%,respectively,which surpasses most existing vehicle Re-ID methods.
