AIM: To interfere with the activation of nuclear factor-κB(NF-κB) with metformin and explore its effect in reversing multidrug resistance(MDR) of hepatocellular carcinoma(HCC) cells.METHODS: Expression of P-glycopro...AIM: To interfere with the activation of nuclear factor-κB(NF-κB) with metformin and explore its effect in reversing multidrug resistance(MDR) of hepatocellular carcinoma(HCC) cells.METHODS: Expression of P-glycoprotein(P-gp) and NF-κB in human HepG 2 or HepG 2/adriamycin(ADM) cells treated with pC MV-NF-κB-small interference RNA(siR NA) with or without metformin, was analyzed by Western blot or fluorescence quantitative PCR. Cell viability was tested by CCK-8 assay. Cell cycle and apoptosis were measured by flow cytometry and Annexin-V-PE/7-AnnexinV apoptosis detection double staining assay, respectively. RESULTS: P-gp overexpression in HepG 2 and HepG 2/ADM cells was closely related to mdr1 mR NA(3.310 ± 0.154) and NF-κB mR NA(2.580 ± 0.040) expression. NF-κB gene transcription was inhibited by specific siR NA with significant down-regulation of P-gp and enhanced HCC cell chemosensitivity to doxorubicin. After pretreatment with metformin, Hep G2/ADM cells were sensitized to doxorubicin and P-gp was decreased through the NF-κB signaling pathway. The synergistic effect of metformin and NF-κB siR NA were found in HepG 2/ADM cells with regard to proliferation inhibition, cell cycle arrest and inducing cell apoptosis. CONCLUSION: Metformin via silencing NF-κB signaling could effectively reverse MDR of HCC cells by downregulating MDR1/P-gp expression.展开更多
Coal ash melting characteristics has a direct impact on the smooth operation of entrained gasifier.Mineral conversion of coal ash is very significant to be investigated,because the mineral can affect the melting tempe...Coal ash melting characteristics has a direct impact on the smooth operation of entrained gasifier.Mineral conversion of coal ash is very significant to be investigated,because the mineral can affect the melting temperature and viscosity under high temperature conditions.In this paper,the effects of different Al2O3/CaO on the mineral conversion,melting temperature and viscosity of Ningdong coal ash are studied by the combination of experiment and simulation.The trend of melting temperature decreases firstly and rises with increasing Al_(2)O_(3)/CaO.The ashmelting point reached to the lowestwhen the ratio is 1.23.XRD and Factsage software are used to analyze crystallization behavior of samples.The results showthat the content of anorthite,albite and corundumincreases and subsequently decreases,while the content of mullite decreases firstly and then rises with increasing Al_(2)O_(3)/CaO.High content with CaO can contribute to form albite and anorthite of low-melting.Besides,high content with Al_(2)O_(3) can tend to produce mullite of high-melting.The results of experimental and simulation are basically the same,which lays a foundation for the melting characteristics of Ningdong coal ash and can provide technical support for the smooth operation of the entrained-gasifier.展开更多
Substantial advancements have been achieved in Tunnel Boring Machine(TBM)technology and monitoring systems,yet the presence of missing data impedes accurate analysis and interpretation of TBM monitoring results.This s...Substantial advancements have been achieved in Tunnel Boring Machine(TBM)technology and monitoring systems,yet the presence of missing data impedes accurate analysis and interpretation of TBM monitoring results.This study aims to investigate the issue of missing data in extensive TBM datasets.Through a comprehensive literature review,we analyze the mechanism of missing TBM data and compare different imputation methods,including statistical analysis and machine learning algorithms.We also examine the impact of various missing patterns and rates on the efficacy of these methods.Finally,we propose a dynamic interpolation strategy tailored for TBM engineering sites.The research results show that K-Nearest Neighbors(KNN)and Random Forest(RF)algorithms can achieve good interpolation results;As the missing rate increases,the interpolation effect of different methods will decrease;The interpolation effect of block missing is poor,followed by mixed missing,and the interpolation effect of sporadic missing is the best.On-site application results validate the proposed interpolation strategy's capability to achieve robust missing value interpolation effects,applicable in ML scenarios such as parameter optimization,attitude warning,and pressure prediction.These findings contribute to enhancing the efficiency of TBM missing data processing,offering more effective support for large-scale TBM monitoring datasets.展开更多
BACKGROUND Krüppel-like factor-5(KLF5)is a zinc-finger transcription factor related to tumor progression.However,the relationship between KLF5 and lung cancer remains to be identified.AIM To investigate the clini...BACKGROUND Krüppel-like factor-5(KLF5)is a zinc-finger transcription factor related to tumor progression.However,the relationship between KLF5 and lung cancer remains to be identified.AIM To investigate the clinical value of KLF5 and interference with KLF5 mRNA transcription on the effects of biological behaviors in lung squamous-cell carcinoma(LUSC).METHODS Lung KLF5 mRNA data were extracted from bioinformatics databases.Blood and tissues from a cohort of patients with benign or malignant lung diseases were collected with ethical committee consent to validate KLF5 expression via multiplex immunofluorescence and immunohistochemistry,Western blot,Enzyme Linked Immunosorbent Assay or quantitative polymerase chain reaction.Furthermore,KLF5 mRNA was silenced in lung A549 cells to validate biological behaviors in vitro and nude mouse xenograft growth in vivo,respectively.RESULTS A cohort of bioinformatics databases revealed high KLF5 mRNA expression in LUSC(P<0.001)but lower KLF5 mRNA expression in lung adenocarcinoma.Upregulated KLF5 in the lung or sera of patients with lung cancer(P<0.001)were confirmed that related to poor differentiation,lymph node or distant metastasis.Furthermore,the incidence of KLF5 levels greater than 500 ng/mL in LUSC patients was 86.7%,which was significantly greater(P<0.001)than that in cases with benign lung diseases(13.3%)or healthy controls.Functionally,silencing KLF5 mRNA with a specific shRNA significantly suppressed A549 cell proliferation,decreased cell migration,increased the ratio of G2 phase cells in vitro,and inhibited the growth of nude mouse xenografts in vivo.CONCLUSION KLF5 is a novel diagnostic biomarker or potential therapeutic target for LUSC.展开更多
Water/seawater oxidation determines the hydrogen production efficiency of water/seawater splitting.De-veloping high-efficiency,conductive,stable,and erosion-resisting transition metal-based layered double hydroxide(TM...Water/seawater oxidation determines the hydrogen production efficiency of water/seawater splitting.De-veloping high-efficiency,conductive,stable,and erosion-resisting transition metal-based layered double hydroxide(TM-LDH)is crucial to water/seawater oxidation.Hence,amorphous high-entropy FeCoNiCr-LDH is fabricated by one-step electrodeposition to promote water/seawater oxidation.Coupling of high entropy,Cr cation leaching,congenetic CrO_(4)^(2-)adsorption,and amorphization to facilitate electrochem-ical reconstruction.The advanced strategy enhances active sites,reaction kinetics,reaction selectivity,conductivity,stability,and corrosion resistance with the electrostatic chlorine-repellent layer.The in-situ Cr leaching and congenetic CrO_(4)^(2-)adsorption-induced electrochemical reconstruction are identified by cyclic voltammetry(CV)activation,in-situ Bode plots,and electrochemical impedance spectroscopy(EIS)plots,ex-situ Raman and ultraviolet-visible spectrophotometry(UV-Vis).The OER active species of oxy-hydroxides are also formed during electrochemical reconstruction.Moreover,control tests of soaking and extra CrO_(4)^(2-)additive verify the superiorities of electrochemical reconstruction with in-situ Cr leaching and congenetic CrO_(4)^(2-)adsorption.Accordingly,FeCoNiCr-LDH exhibits excellent electrochemical perfor-mances with low overpotentials of 193/225 mV at 10 mA cm^(-2),high Faradaic efficiencies of 99.3%/97.4%and strong stability for alkaline water/simulated seawater oxidation,respectively.This study provides one innovative strategy to construct efficient water/seawater oxidation electrocatalysts,showing the great the-oretical significance and practical values in industrial water/seawater splitting for hydrogen production.展开更多
[Objectives]This study was conducted to investigate the effects of a compound Chinese herbal medicine pig gut microbiota and metabolic ecology.[Methods]Through 16S rRNA high-throughput sequencing and metabolomics,the ...[Objectives]This study was conducted to investigate the effects of a compound Chinese herbal medicine pig gut microbiota and metabolic ecology.[Methods]Through 16S rRNA high-throughput sequencing and metabolomics,the effects of administing a 5%compound mixture of Pseudostellaria heterophylla,Uncaria rhynchophylla and Lonicera japonica for 60 d on the intestinal microbiota and metabolites of three-way crossbred pigs were evaluated.[Results]The Chinese herbal medicine(CHM)group exhibited improvedα-diversity indices(Ace=541.22,Shannon=3.36,Simpson=0.10),though not significant(P>0.05),compared with the CK group(Ace=511.46,Shannon=2.75,Simpson=0.12).β-diversity analysis revealed a clear separation between the groups.At the phylum level,the overall differences in gut microbiota composition were minor.However,the CHM group showed a substantial increase in Bacteroidota in the cecum and a significant rise in Myxobacteria,which have anti-inflammatory and anti-obesity potential,suggesting a positive effect on intestinal health.Meanwhile,the CHM group exhibited 67 unique OTUs,higher than 27 in the CK group,primarily concentrated in the ileum and cecum.Additionally,metabolomic analysis revealed 210 unique metabolites in the CHM group,surpassing 77 in the CK group.A total of 653 metabolites showed significant changes,involving 11 metabolic pathways.Correlation analysis revealed that metabolites such as PC,PE,LysoPC,LysoPE and dehydrocarpaine were closely associated with microbiota.In the CHM group,key metabolites exhibited complex interactions with gut microbiota.Dehydrocarpaine showed positive correlations with probiotics such as Lactobacillus and Bifidobacterium.[Conclusions]These results demonstrated that CHM potentially enhanced pig gut health by improving microbial diversity and regulating metabolic networks,providing a scientific basis for further optimization of swine farming strategies.展开更多
This editorial focuses on the recent article by Yang et al in the World Journal of Gastrointestinal Oncology,which highlights the role of interlukin-17A in promoting hepatocellular carcinoma(HCC)progression by up-regu...This editorial focuses on the recent article by Yang et al in the World Journal of Gastrointestinal Oncology,which highlights the role of interlukin-17A in promoting hepatocellular carcinoma(HCC)progression by up-regulated programmed cell death protein-1(PD-1)/programmed cell death protein ligand-1(PD-L1)expression.Previous,the high PD-1/PD-L1 level was due to hepatitis virus infection leading to systemic innate immune tolerance and cluster of differen-tiation 8+T cells exhaustion,ultimately leading to HCC.Recently,interesting studies have found that the malignant progression of metabolic dysfunction-associated steatotic/fatty liver disease(MASLD/MAFLD),that is former nonalcoholic fatty liver disease,was achieved by up-regulated PD-L1 level that was activated the cGAS-STING pathway under lipid accumulation with mito-chondrial DNA overflow and up-regulated PD-1/PD-L1 to promote MASLD malignant transformation via immune escape.These data suggested that PD-1 or PD-L1 should be a promising target for preventing or delaying non-viral liver disease malignant progression except of antiviral therapy for HCC.展开更多
Semantic segmentation of remote sensing images is a critical research area in the field of remote sensing.Despite the success of Convolutional Neural Networks(CNNs),they often fail to capture inter-layer feature relat...Semantic segmentation of remote sensing images is a critical research area in the field of remote sensing.Despite the success of Convolutional Neural Networks(CNNs),they often fail to capture inter-layer feature relationships and fully leverage contextual information,leading to the loss of important details.Additionally,due to significant intraclass variation and small inter-class differences in remote sensing images,CNNs may experience class confusion.To address these issues,we propose a novel Category-Guided Feature Collaborative Learning Network(CG-FCLNet),which enables fine-grained feature extraction and adaptive fusion.Specifically,we design a Feature Collaborative Learning Module(FCLM)to facilitate the tight interaction of multi-scale features.We also introduce a Scale-Aware Fusion Module(SAFM),which iteratively fuses features from different layers using a spatial attention mechanism,enabling deeper feature fusion.Furthermore,we design a Category-Guided Module(CGM)to extract category-aware information that guides feature fusion,ensuring that the fused featuresmore accurately reflect the semantic information of each category,thereby improving detailed segmentation.The experimental results show that CG-FCLNet achieves a Mean Intersection over Union(mIoU)of 83.46%,an mF1 of 90.87%,and an Overall Accuracy(OA)of 91.34% on the Vaihingen dataset.On the Potsdam dataset,it achieves a mIoU of 86.54%,an mF1 of 92.65%,and an OA of 91.29%.These results highlight the superior performance of CG-FCLNet compared to existing state-of-the-art methods.展开更多
Knowledge distillation(KD)is an emerging model compression technique for learning compact object detector models.Previous KD often focused solely on distilling from the logits layer or the feature intermediate layers,...Knowledge distillation(KD)is an emerging model compression technique for learning compact object detector models.Previous KD often focused solely on distilling from the logits layer or the feature intermediate layers,which may limit the comprehensive learning of the student network.Additionally,the imbalance between the foreground and background also affects the performance of the model.To address these issues,this paper employs feature-based distillation to enhance the detection performance of the bounding box localization part,and logit-based distillation to improve the detection performance of the category prediction part.Specifically,for the intermediate layer feature distillation,we introduce feature resampling to reduce the risk of the student model merely imitating the teacher model.At the same time,we incorporate a Spatial Attention Mechanism(SAM)to highlight the foreground features learned by the student model.In terms of output layer feature distillation,we divide the traditional distillation targets into target-class objects and non-target-class objects,aiming to improve overall distillation performance.Furthermore,we introduce a one-to-many matching distillation strategy based on Feature Alignment Module(FAM),which further enhances the studentmodel’s feature representation ability,making its feature distribution closer to that of the teacher model,and thus demonstrating superior localization and classification capabilities in object detection tasks.Experimental results demonstrate that our proposedmethodology outperforms conventional distillation techniques in terms of object detecting performance.展开更多
Soot is a flocculent carbon nanoparticle that results the imperfect combustion of fossil fuel,and numerous studies are dedicated to the reduction of soot production to alleviate the associated environmental problems.H...Soot is a flocculent carbon nanoparticle that results the imperfect combustion of fossil fuel,and numerous studies are dedicated to the reduction of soot production to alleviate the associated environmental problems.However,soot as a functional material is also widely used in energy storage and superhydrophobic materials.As a partial oxidation technology,the entrained flow coal gasification process will produce part of the soot.It is important to separate soot from the coal gasification fine slag(CGFS)and understand its structural characteristics for soot utilization.For this purpose,two industrial typical pulverized coal gasification fine slag(PCGFS)and coal-water slurry gasification fine slag(WCGFS)were selected for this study.The results showed that both fine slags were rich in soot,and the dry ash free mass fraction of soot in PCGFS and WCGFS was 6.24%and 2.91%,respectively,and the soot of PCGFS had a hollow carbon nanosphere morphology,while the soot of WCGFS showed a flocculent irregular morphology.The average fringe length,fringe tortuosity,and fringe spacing of the soot were 0.84 nm,1.21,and 0.45 nm,respectively.Compared to the WCGFS,the soot particles of PCGFS have less continuity of molecular bonds within the lattice,the larger the defects within the lattice,the fewer isolated lattice carbon layers there are.This study provides important theoretical support for understanding the structural characteristics and next applications of soot in the entrained flow coal gasification fine slag.展开更多
[Objectives]This study was conducted to evaluate the immunization efficacy and infection status of classical swine fever(CSF),foot-and-mouth disease(FMD),porcine reproductive and respiratory syndrome(PRRS),pseudorabie...[Objectives]This study was conducted to evaluate the immunization efficacy and infection status of classical swine fever(CSF),foot-and-mouth disease(FMD),porcine reproductive and respiratory syndrome(PRRS),pseudorabies(PR),and porcine circovirus type 2(PCV2)in large-scale pig farms.[Methods]Antibody and pathogen detection was performed on 56 serum samples collected in March 2025.[Results]The antibody qualification rates for CSF,FMD,and PRRS were 76.8%,73.2%,and 76.8%,respectively,all meeting the national standards.However,nursery pigs exhibited an immunity gap,indicating a need for timely booster vaccinations.No PRV gE antibodies or PCV2 antibodies were detected,reflecting the absence of vaccination against these diseases and suggesting significant effectiveness of comprehensive biosecurity measures.The low antibody qualification rate for PRRS in the nursery stage highlights the need for improved immunization management.[Conclusions]This study provides data support and practical insights for integrated disease prevention and control in large-scale pig farms.展开更多
基金Supported by Projects of Jiangsu Elitist Peak in Six Fields,Nos.2013-WSN-078,2013-WSW-011,and 2014-YY-028the QingL an Program of Jiangsu Higher Education,the Youth Science Foundation of Nantong Health Department,No.WQ2014005the International Science and Technology Cooperation Program,No.2013DFA32150
文摘AIM: To interfere with the activation of nuclear factor-κB(NF-κB) with metformin and explore its effect in reversing multidrug resistance(MDR) of hepatocellular carcinoma(HCC) cells.METHODS: Expression of P-glycoprotein(P-gp) and NF-κB in human HepG 2 or HepG 2/adriamycin(ADM) cells treated with pC MV-NF-κB-small interference RNA(siR NA) with or without metformin, was analyzed by Western blot or fluorescence quantitative PCR. Cell viability was tested by CCK-8 assay. Cell cycle and apoptosis were measured by flow cytometry and Annexin-V-PE/7-AnnexinV apoptosis detection double staining assay, respectively. RESULTS: P-gp overexpression in HepG 2 and HepG 2/ADM cells was closely related to mdr1 mR NA(3.310 ± 0.154) and NF-κB mR NA(2.580 ± 0.040) expression. NF-κB gene transcription was inhibited by specific siR NA with significant down-regulation of P-gp and enhanced HCC cell chemosensitivity to doxorubicin. After pretreatment with metformin, Hep G2/ADM cells were sensitized to doxorubicin and P-gp was decreased through the NF-κB signaling pathway. The synergistic effect of metformin and NF-κB siR NA were found in HepG 2/ADM cells with regard to proliferation inhibition, cell cycle arrest and inducing cell apoptosis. CONCLUSION: Metformin via silencing NF-κB signaling could effectively reverse MDR of HCC cells by downregulating MDR1/P-gp expression.
基金supported by the Key Research and Development Program of Ningxia(2018BCE01004)Natural Science Foundation of Ningxia(2018AAC03013)Discipline Project of Ningxia(NXYLXK2017A04).
文摘Coal ash melting characteristics has a direct impact on the smooth operation of entrained gasifier.Mineral conversion of coal ash is very significant to be investigated,because the mineral can affect the melting temperature and viscosity under high temperature conditions.In this paper,the effects of different Al2O3/CaO on the mineral conversion,melting temperature and viscosity of Ningdong coal ash are studied by the combination of experiment and simulation.The trend of melting temperature decreases firstly and rises with increasing Al_(2)O_(3)/CaO.The ashmelting point reached to the lowestwhen the ratio is 1.23.XRD and Factsage software are used to analyze crystallization behavior of samples.The results showthat the content of anorthite,albite and corundumincreases and subsequently decreases,while the content of mullite decreases firstly and then rises with increasing Al_(2)O_(3)/CaO.High content with CaO can contribute to form albite and anorthite of low-melting.Besides,high content with Al_(2)O_(3) can tend to produce mullite of high-melting.The results of experimental and simulation are basically the same,which lays a foundation for the melting characteristics of Ningdong coal ash and can provide technical support for the smooth operation of the entrained-gasifier.
基金supported by the National Natural Science Foundation of China(Grant No.52409151)the Programme of Shenzhen Key Laboratory of Green,Efficient and Intelligent Construction of Underground Metro Station(Programme No.ZDSYS20200923105200001)the Science and Technology Major Project of Xizang Autonomous Region of China(XZ202201ZD0003G).
文摘Substantial advancements have been achieved in Tunnel Boring Machine(TBM)technology and monitoring systems,yet the presence of missing data impedes accurate analysis and interpretation of TBM monitoring results.This study aims to investigate the issue of missing data in extensive TBM datasets.Through a comprehensive literature review,we analyze the mechanism of missing TBM data and compare different imputation methods,including statistical analysis and machine learning algorithms.We also examine the impact of various missing patterns and rates on the efficacy of these methods.Finally,we propose a dynamic interpolation strategy tailored for TBM engineering sites.The research results show that K-Nearest Neighbors(KNN)and Random Forest(RF)algorithms can achieve good interpolation results;As the missing rate increases,the interpolation effect of different methods will decrease;The interpolation effect of block missing is poor,followed by mixed missing,and the interpolation effect of sporadic missing is the best.On-site application results validate the proposed interpolation strategy's capability to achieve robust missing value interpolation effects,applicable in ML scenarios such as parameter optimization,attitude warning,and pressure prediction.These findings contribute to enhancing the efficiency of TBM missing data processing,offering more effective support for large-scale TBM monitoring datasets.
基金Supported by Jiangsu Commission of Health of China,No.M2020096.
文摘BACKGROUND Krüppel-like factor-5(KLF5)is a zinc-finger transcription factor related to tumor progression.However,the relationship between KLF5 and lung cancer remains to be identified.AIM To investigate the clinical value of KLF5 and interference with KLF5 mRNA transcription on the effects of biological behaviors in lung squamous-cell carcinoma(LUSC).METHODS Lung KLF5 mRNA data were extracted from bioinformatics databases.Blood and tissues from a cohort of patients with benign or malignant lung diseases were collected with ethical committee consent to validate KLF5 expression via multiplex immunofluorescence and immunohistochemistry,Western blot,Enzyme Linked Immunosorbent Assay or quantitative polymerase chain reaction.Furthermore,KLF5 mRNA was silenced in lung A549 cells to validate biological behaviors in vitro and nude mouse xenograft growth in vivo,respectively.RESULTS A cohort of bioinformatics databases revealed high KLF5 mRNA expression in LUSC(P<0.001)but lower KLF5 mRNA expression in lung adenocarcinoma.Upregulated KLF5 in the lung or sera of patients with lung cancer(P<0.001)were confirmed that related to poor differentiation,lymph node or distant metastasis.Furthermore,the incidence of KLF5 levels greater than 500 ng/mL in LUSC patients was 86.7%,which was significantly greater(P<0.001)than that in cases with benign lung diseases(13.3%)or healthy controls.Functionally,silencing KLF5 mRNA with a specific shRNA significantly suppressed A549 cell proliferation,decreased cell migration,increased the ratio of G2 phase cells in vitro,and inhibited the growth of nude mouse xenografts in vivo.CONCLUSION KLF5 is a novel diagnostic biomarker or potential therapeutic target for LUSC.
基金financially supported by the Natural Science Foundation of Hebei Province(No.B2024208055)the Science Re-search Project of Hebei Education Department(No.QN2022180)the Hebei University of Science and Technology Funding for basic scientific research operations(No.2024XLM022).
文摘Water/seawater oxidation determines the hydrogen production efficiency of water/seawater splitting.De-veloping high-efficiency,conductive,stable,and erosion-resisting transition metal-based layered double hydroxide(TM-LDH)is crucial to water/seawater oxidation.Hence,amorphous high-entropy FeCoNiCr-LDH is fabricated by one-step electrodeposition to promote water/seawater oxidation.Coupling of high entropy,Cr cation leaching,congenetic CrO_(4)^(2-)adsorption,and amorphization to facilitate electrochem-ical reconstruction.The advanced strategy enhances active sites,reaction kinetics,reaction selectivity,conductivity,stability,and corrosion resistance with the electrostatic chlorine-repellent layer.The in-situ Cr leaching and congenetic CrO_(4)^(2-)adsorption-induced electrochemical reconstruction are identified by cyclic voltammetry(CV)activation,in-situ Bode plots,and electrochemical impedance spectroscopy(EIS)plots,ex-situ Raman and ultraviolet-visible spectrophotometry(UV-Vis).The OER active species of oxy-hydroxides are also formed during electrochemical reconstruction.Moreover,control tests of soaking and extra CrO_(4)^(2-)additive verify the superiorities of electrochemical reconstruction with in-situ Cr leaching and congenetic CrO_(4)^(2-)adsorption.Accordingly,FeCoNiCr-LDH exhibits excellent electrochemical perfor-mances with low overpotentials of 193/225 mV at 10 mA cm^(-2),high Faradaic efficiencies of 99.3%/97.4%and strong stability for alkaline water/simulated seawater oxidation,respectively.This study provides one innovative strategy to construct efficient water/seawater oxidation electrocatalysts,showing the great the-oretical significance and practical values in industrial water/seawater splitting for hydrogen production.
基金Supported by Guizhou Provincial Department of Agriculture and Rural Affairs Project(QNYZZZ[2017]No.12,GZSZCYJSTX-04)2024 Quality Supervision and Sampling Project of Normal Temperature Semen for Breeding Pigs.
文摘[Objectives]This study was conducted to investigate the effects of a compound Chinese herbal medicine pig gut microbiota and metabolic ecology.[Methods]Through 16S rRNA high-throughput sequencing and metabolomics,the effects of administing a 5%compound mixture of Pseudostellaria heterophylla,Uncaria rhynchophylla and Lonicera japonica for 60 d on the intestinal microbiota and metabolites of three-way crossbred pigs were evaluated.[Results]The Chinese herbal medicine(CHM)group exhibited improvedα-diversity indices(Ace=541.22,Shannon=3.36,Simpson=0.10),though not significant(P>0.05),compared with the CK group(Ace=511.46,Shannon=2.75,Simpson=0.12).β-diversity analysis revealed a clear separation between the groups.At the phylum level,the overall differences in gut microbiota composition were minor.However,the CHM group showed a substantial increase in Bacteroidota in the cecum and a significant rise in Myxobacteria,which have anti-inflammatory and anti-obesity potential,suggesting a positive effect on intestinal health.Meanwhile,the CHM group exhibited 67 unique OTUs,higher than 27 in the CK group,primarily concentrated in the ileum and cecum.Additionally,metabolomic analysis revealed 210 unique metabolites in the CHM group,surpassing 77 in the CK group.A total of 653 metabolites showed significant changes,involving 11 metabolic pathways.Correlation analysis revealed that metabolites such as PC,PE,LysoPC,LysoPE and dehydrocarpaine were closely associated with microbiota.In the CHM group,key metabolites exhibited complex interactions with gut microbiota.Dehydrocarpaine showed positive correlations with probiotics such as Lactobacillus and Bifidobacterium.[Conclusions]These results demonstrated that CHM potentially enhanced pig gut health by improving microbial diversity and regulating metabolic networks,providing a scientific basis for further optimization of swine farming strategies.
基金Supported by National Natural Science Foundation of China,No.81673241 and No.32470985.
文摘This editorial focuses on the recent article by Yang et al in the World Journal of Gastrointestinal Oncology,which highlights the role of interlukin-17A in promoting hepatocellular carcinoma(HCC)progression by up-regulated programmed cell death protein-1(PD-1)/programmed cell death protein ligand-1(PD-L1)expression.Previous,the high PD-1/PD-L1 level was due to hepatitis virus infection leading to systemic innate immune tolerance and cluster of differen-tiation 8+T cells exhaustion,ultimately leading to HCC.Recently,interesting studies have found that the malignant progression of metabolic dysfunction-associated steatotic/fatty liver disease(MASLD/MAFLD),that is former nonalcoholic fatty liver disease,was achieved by up-regulated PD-L1 level that was activated the cGAS-STING pathway under lipid accumulation with mito-chondrial DNA overflow and up-regulated PD-1/PD-L1 to promote MASLD malignant transformation via immune escape.These data suggested that PD-1 or PD-L1 should be a promising target for preventing or delaying non-viral liver disease malignant progression except of antiviral therapy for HCC.
基金funded by National Natural Science Foundation of China(61603245).
文摘Semantic segmentation of remote sensing images is a critical research area in the field of remote sensing.Despite the success of Convolutional Neural Networks(CNNs),they often fail to capture inter-layer feature relationships and fully leverage contextual information,leading to the loss of important details.Additionally,due to significant intraclass variation and small inter-class differences in remote sensing images,CNNs may experience class confusion.To address these issues,we propose a novel Category-Guided Feature Collaborative Learning Network(CG-FCLNet),which enables fine-grained feature extraction and adaptive fusion.Specifically,we design a Feature Collaborative Learning Module(FCLM)to facilitate the tight interaction of multi-scale features.We also introduce a Scale-Aware Fusion Module(SAFM),which iteratively fuses features from different layers using a spatial attention mechanism,enabling deeper feature fusion.Furthermore,we design a Category-Guided Module(CGM)to extract category-aware information that guides feature fusion,ensuring that the fused featuresmore accurately reflect the semantic information of each category,thereby improving detailed segmentation.The experimental results show that CG-FCLNet achieves a Mean Intersection over Union(mIoU)of 83.46%,an mF1 of 90.87%,and an Overall Accuracy(OA)of 91.34% on the Vaihingen dataset.On the Potsdam dataset,it achieves a mIoU of 86.54%,an mF1 of 92.65%,and an OA of 91.29%.These results highlight the superior performance of CG-FCLNet compared to existing state-of-the-art methods.
基金funded by National Natural Science Foundation of China(61603245).
文摘Knowledge distillation(KD)is an emerging model compression technique for learning compact object detector models.Previous KD often focused solely on distilling from the logits layer or the feature intermediate layers,which may limit the comprehensive learning of the student network.Additionally,the imbalance between the foreground and background also affects the performance of the model.To address these issues,this paper employs feature-based distillation to enhance the detection performance of the bounding box localization part,and logit-based distillation to improve the detection performance of the category prediction part.Specifically,for the intermediate layer feature distillation,we introduce feature resampling to reduce the risk of the student model merely imitating the teacher model.At the same time,we incorporate a Spatial Attention Mechanism(SAM)to highlight the foreground features learned by the student model.In terms of output layer feature distillation,we divide the traditional distillation targets into target-class objects and non-target-class objects,aiming to improve overall distillation performance.Furthermore,we introduce a one-to-many matching distillation strategy based on Feature Alignment Module(FAM),which further enhances the studentmodel’s feature representation ability,making its feature distribution closer to that of the teacher model,and thus demonstrating superior localization and classification capabilities in object detection tasks.Experimental results demonstrate that our proposedmethodology outperforms conventional distillation techniques in terms of object detecting performance.
基金supported by the National Natural Science Foundation of China(22168032,21968024)the National Key Research and Development Program of China(2023YFC3904302).
文摘Soot is a flocculent carbon nanoparticle that results the imperfect combustion of fossil fuel,and numerous studies are dedicated to the reduction of soot production to alleviate the associated environmental problems.However,soot as a functional material is also widely used in energy storage and superhydrophobic materials.As a partial oxidation technology,the entrained flow coal gasification process will produce part of the soot.It is important to separate soot from the coal gasification fine slag(CGFS)and understand its structural characteristics for soot utilization.For this purpose,two industrial typical pulverized coal gasification fine slag(PCGFS)and coal-water slurry gasification fine slag(WCGFS)were selected for this study.The results showed that both fine slags were rich in soot,and the dry ash free mass fraction of soot in PCGFS and WCGFS was 6.24%and 2.91%,respectively,and the soot of PCGFS had a hollow carbon nanosphere morphology,while the soot of WCGFS showed a flocculent irregular morphology.The average fringe length,fringe tortuosity,and fringe spacing of the soot were 0.84 nm,1.21,and 0.45 nm,respectively.Compared to the WCGFS,the soot particles of PCGFS have less continuity of molecular bonds within the lattice,the larger the defects within the lattice,the fewer isolated lattice carbon layers there are.This study provides important theoretical support for understanding the structural characteristics and next applications of soot in the entrained flow coal gasification fine slag.
基金Supported by Guizhou Provincial Department of Agriculture and Rural Affairs Project(QNYZZZ[2017]No.12,GZSZCYJSTX-04)2025 Quality Supervision and Sampling Project of Normal Temperature Semen for Breeding Pigs(2025-1-10).
文摘[Objectives]This study was conducted to evaluate the immunization efficacy and infection status of classical swine fever(CSF),foot-and-mouth disease(FMD),porcine reproductive and respiratory syndrome(PRRS),pseudorabies(PR),and porcine circovirus type 2(PCV2)in large-scale pig farms.[Methods]Antibody and pathogen detection was performed on 56 serum samples collected in March 2025.[Results]The antibody qualification rates for CSF,FMD,and PRRS were 76.8%,73.2%,and 76.8%,respectively,all meeting the national standards.However,nursery pigs exhibited an immunity gap,indicating a need for timely booster vaccinations.No PRV gE antibodies or PCV2 antibodies were detected,reflecting the absence of vaccination against these diseases and suggesting significant effectiveness of comprehensive biosecurity measures.The low antibody qualification rate for PRRS in the nursery stage highlights the need for improved immunization management.[Conclusions]This study provides data support and practical insights for integrated disease prevention and control in large-scale pig farms.
