The processability and ultimate quality of coffee(Coffea arabica)are determined by the composition of the matured fruits.The basis of genetic variation in coffee fruit quality could be explained by studying color form...The processability and ultimate quality of coffee(Coffea arabica)are determined by the composition of the matured fruits.The basis of genetic variation in coffee fruit quality could be explained by studying color formation during fruit maturation.Transcriptome profiling was conducted on matured fruits of four C.arabica varieties(orange colored fruits(ORF);purple colored fruits(PF);red colored fruits(RF)and yellow colored fruits(YF))to identify key color-regulating genes,biosynthesis pathways and transcription factors implicated in fruit color formation.A total of 39,938 genes were identified in the transcriptomes of the four C.arabica varieties.In all,2745,781 and 1224 differentially expressed genes(DEGs)were detected in YF_vs_PF,YF_vs_RF and YF_vs_ORF,respectively,with 1732 DEGs conserved among the three pairwise groups.Functional annotation of the DEGs led to the detection of 28 and 82 key genes involved in the biosynthesis of carotenoids and anthocyanins,respectively.Key transcription factors bHLH,MYB,NAC,MADS,and WRKY implicated in fruit color regulation were detected.The high expression levels of gene-LOC113688784(PSY),gene-LOC113730013(b-CHY),gene-LOC113728842(CCD7),gene-LOC113689681(NCED)and gene-LOC113729473(ABA2)in YF may have accounted for the yellow coloration.The differential expression of several anthocyanin and carotenoid-specific genes in the fruits substantially account for the purple(PF),red(RF),and orange(ORF)colorations.This study provides important insights into fruit color formation and variations in C.arabica and will help to develop coffee varieties with specific color and quality traits.展开更多
This study focused on meeting the stringent stability requirements of tubular segmented-in-series solid oxide fuel cells(SOFCs) in reducing and oxidizing atmospheres.To address this challenge,a bi-layer perovskite cer...This study focused on meeting the stringent stability requirements of tubular segmented-in-series solid oxide fuel cells(SOFCs) in reducing and oxidizing atmospheres.To address this challenge,a bi-layer perovskite ceramic interconnect was designed by controlling the oxygen partial pressure,because of the strong correlation between the conductivity of strontium-doped lanthanum titanate(LST) and the oxygen partial pressure.The LST powder was prepared using solid-phase and sol-gel methods,and their influence on particle size and sintering behavior was compared.LST/lanthanum strontium manganite(LSM) bi-layer ceramic interconnects with varying thicknesses were fabricated through screen printing and co-sintering.The results demonstrate favorable interfacial bonding and excellent chemical compatibility between the ceramic layers.The conductivity of the bi-layer interconnect exhibits a temperature-dependent behavior,peaking at 550℃.Simulation calculations and research findings validate that the co nductivity of the bi-layer interconnect is determined by the thickness of the LSM layer and the oxygen partial pressure at the interconnect interface.Optimal conductivity is achieved with a bilayer interconnect consisting of approximately 15 μm of LST and 4 μm of LSM.This can be attributed to the efficient regulation of oxygen partial pressure at the interface,effectively mitigating LSM decomposition caused by low oxygen partial pressure and the subsequent reduction in conductivity.These results provide valuable fundamental data and methodology for the development of high-performance interconnects for tubular segmented-in-series SOFCs.展开更多
Objective:To investigate the clinical efficacy of Modified Gegen Qinlian Decoction combined with probiotics(Clostridium butyricum live capsules)in treating radiation enteritis(RE)in tumor patients,as well as its regul...Objective:To investigate the clinical efficacy of Modified Gegen Qinlian Decoction combined with probiotics(Clostridium butyricum live capsules)in treating radiation enteritis(RE)in tumor patients,as well as its regulatory effect on the structure of intestinal flora,providing clinical evidence for the integrated traditional Chinese and Western medicine treatment of radiation enteritis.Methods:A total of 40 patients with radiation enteritis admitted to the Oncology Department of Linfen Central Hospital from September 2023 to December 2024 were selected and divided into an observation group and a control group according to the random number table method,with 20 cases in each group.The control group was treated with Clostridium butyricum live capsules,while the observation group was treated with Modified Gegen Qinlian Decoction in addition to the treatment given to the control group.Both groups received a 4-week treatment course.Intestinal function indicators and changes in intestinal flora structure were compared between the two groups before and after treatment,and clinical efficacy was evaluated.Results:After 4 weeks of treatment,the total effective rate in the observation group versus the control group was(95.00%vs 65.00%),with a statistically significant difference(P<0.05).The fecal formation rate in the observation group(85.00%vs 60.00%)was significantly higher than that in the control group,and the defecation frequency(2.15±0.42 vs 3.85±0.65)times/day was significantly lower than that in the control group,with statistically significant differences(P<0.05).After treatment,the quantities of Bifidobacterium(6.85±0.72 L vs 5.23±0.61 L)gCFU/g and Lactobacillus(6.52±0.68 L vs 4.98±0.57 L)gCFU/g in the observation group were significantly higher than those in the control group,while the quantities of Escherichia coli(4.12±0.53 L vs 5.67±0.65 L)gCFU/g and Staphylococcus(3.85±0.48 L vs 5.23±0.59 L)gCFU/g were significantly lower than those in the control group,with statistically significant differences(P<0.05).Conclusion:Clinical studies have confirmed that the synergistic treatment of radiation enteritis with Modified Gegen Qinlian Decoction and probiotics can significantly improve patients’clinical symptoms and restore the balance of intestinal flora,providing an effective regimen for clinical treatment.展开更多
The building construction industry,recognized as one of the eight high-risk sectors,also serves as a crucial pillar of the national economy and a key source of employment.Major project advancements typically concentra...The building construction industry,recognized as one of the eight high-risk sectors,also serves as a crucial pillar of the national economy and a key source of employment.Major project advancements typically concentrate between April to June and September to November each year.However,construction progress tends to slow down during July and August due to increased rainfall associated with the flood season.The impact of the flood season on construction projects is primarily reflected in areas such as civil works,machinery and equipment,and temporary power supply.By establishing a dual-control emergency management system for the flood season,construction enterprises can enhance their emergency response capabilities,effectively reduce management challenges,and improve the overall efficiency of emergency handling.展开更多
目的:采用Meta分析的方法,对光学相干断层扫描血管成像技术(OCTA)测量无糖尿病视网膜病变(NDR)的患者黄斑区的血流密度(VD)及浅层中心凹无血管区(FAZ)面积进行系统评价,探讨糖尿病早期视网膜的微循环特征。方法:在PubMed、Embase、Web o...目的:采用Meta分析的方法,对光学相干断层扫描血管成像技术(OCTA)测量无糖尿病视网膜病变(NDR)的患者黄斑区的血流密度(VD)及浅层中心凹无血管区(FAZ)面积进行系统评价,探讨糖尿病早期视网膜的微循环特征。方法:在PubMed、Embase、Web of Science、Cochrane Library数据库中全面检索发表于2011-01-01/2021-01-05之间关于OCTA分析NDR患者黄斑区不同区域血流密度的研究。比较NDR组与正常对照组(同期年龄、性别与NDR组患者相匹配的健康人群)在浅层旁中心凹血流密度(spafVD)、浅层中心凹周围血流密度(spefVD)、深层旁中心凹血流密度(dpafVD)、深层中心凹周围血流密度(dpefVD)、浅层FAZ面积、最佳矫正视力(BCVA)。结果:研究纳入文献13篇,共1227眼(正常对照组558眼,NDR组669眼)。Meta分析结果显示:与正常对照组相比,NDR组spafVD(MD=-1.90,95%CI:-2.43~-1.37,P<0.00001)、spefVD(MD=-1.29,95%CI:-2.14~-0.44,P=0.003)、dpafVD(MD=-2.18,95%CI:-2.69~-1.67,P<0.00001)、dpefVD(MD=-2.37,95%CI:-3.27~-1.46,P<0.00001)显著降低,其中dpefVD降低更明显;浅层FAZ面积(MD=0.04,95%CI:0.03~0.06,P<0.00001)增大;两组BCVA比较无差异(MD=0.00,95%CI:-0.01~0.02,P=0.44)。结论:黄斑区深层中心凹周围区毛细血管损伤是糖尿病患者视网膜微循环障碍的最早期表现,也是糖尿病视网膜病变临床随访的关键指标。展开更多
With respect to the gamma spectrum, the energy resolution improves with increase in energy. The counts of full energy peak change with energy, and this approximately complies with the Gaussian distribution. This study...With respect to the gamma spectrum, the energy resolution improves with increase in energy. The counts of full energy peak change with energy, and this approximately complies with the Gaussian distribution. This study mainly examines a method to deconvolve the LaBr_3:Ce gamma spectrum with a detector response matrix constructing algorithm based on energy resolution calibration.In the algorithm, the full width at half maximum(FWHM)of full energy peak was calculated by the cubic spline interpolation algorithm and calibrated by a square root of a quadratic function that changes with the energy. Additionally, the detector response matrix was constructed to deconvolve the gamma spectrum. Furthermore, an improved SNIP algorithm was proposed to eliminate the background. In the experiment, several independent peaks of ^(152)Eu,^(137)Cs, and ^(60)Co sources were detected by a LaBr_3:Ce scintillator that were selected to calibrate the energy resolution. The Boosted Gold algorithm was applied to deconvolve the gamma spectrum. The results showed that the peak position difference between the experiment and the deconvolution was within ± 2 channels and the relative error of peak area was approximately within 0.96–6.74%. Finally, a ^(133) Ba spectrum was deconvolved to verify the efficiency and accuracy of the algorithm in unfolding the overlapped peaks.展开更多
Fe_(3)O_(4)-CoO/Al_(2)O_(3)catalyst was prepared by incipient wetness impregnation using Fe(NO3)3.9H2O and Co(NO3)2.6H2O as the precursors,and its catalytic performance was investigated in ozonation of 2-(2,4-dichloro...Fe_(3)O_(4)-CoO/Al_(2)O_(3)catalyst was prepared by incipient wetness impregnation using Fe(NO3)3.9H2O and Co(NO3)2.6H2O as the precursors,and its catalytic performance was investigated in ozonation of 2-(2,4-dichlorophenoxy)propionic acid(2,4-DP),nitrobenzene and oxalic acid.The experimental results indicated that Fe_(3)O_(4)-CoO/Al_(2)O_(3)catalyst enabled an interesting improvement of ozonation efficiency during the degradation of each organic pollutant,and the Fe_(3)O_(4)-CoO/Al_(2)O_(3)catalytic ozonation system followed a radical-type mechanism.The kinetics of ozonation alone and Fe_(3)O_(4)-CoO/Al_(2)O_(3)catalytic ozonation of three organic pollutants in aqueous solution were discussed under the mere consideration of direct ozone reaction and OH radical reaction to well investigate its performance.In the catalytic ozonation of 2,4-DP,the apparent reaction rate constants(k)were determined to be 1.456×10^-2 min-1 for ozonation alone and 4.740×10^-2 min^-1 for O3/Fe_(3)O_(4)-CoO/Al_(2)O_(3).And O3/Fe_(3)O_(4)-CoO/Al_(2)O_(3)had a larger Rot(6.614×10^-9)calculated by the relative method than O3 did(1.800 x 10-9),showing O3/Fe_(3)O_(4)-CoO/Al_(2)O_(3)generated more hydroxyl radical.Similar results were also obtained in the catalytic ozonation of nitrobenzene and oxalic acid.The above results demonstrated that the catalytic performance of Fe_(3)O_(4)-CoO/Al_(2)O_(3)in ozonation of studied organic substance was universal to a certain degree.展开更多
In order to improve the energy efficiency(EE)in cognitive radio(CR),this paper investigates the joint design of cooperative spectrum sensing time and the power control optimization problem for the secondary user syste...In order to improve the energy efficiency(EE)in cognitive radio(CR),this paper investigates the joint design of cooperative spectrum sensing time and the power control optimization problem for the secondary user systems to achieve the maximum energy efficiency in a cognitive network based on hybrid spectrum sharing,meanwhile considering the maximum transmit power,user quality of service(QoS)requirements,interference limitations,and primary user protection.The optimization of energy efficient sensing time and power allocation is formulated as a non-convex optimization problem.The Dinkelbach’s method is adopted to solve this problem and to transform the non-convex optimization problem in fractional form into an equivalent optimization problem in the form of subtraction.Then,an iterative power allocation algorithm is proposed to solve the optimization problem.The simulation results show the effectiveness of the proposed algorithms for energy-efficient resource allocation in the cognitive network.展开更多
Effect factors of the absorption of the source,air,entrance window,and dead layer of a detector must be considered in the measurement of monoenergetic alpha particles,along with statistical noise and other factors tha...Effect factors of the absorption of the source,air,entrance window,and dead layer of a detector must be considered in the measurement of monoenergetic alpha particles,along with statistical noise and other factors that collectively cause the alpha spectrum to exhibit a well-known low-energy tail.Therefore,the estabUshment of an alpha spectrum detector response function from the perspective of a signaling system must consider the various factors mentioned above.The detector response function is the convolution of an alphaparticle pulse function,two exponential functions,and a Gaussian function,followed by calculation of the parameters of the detector response function using the weighted leastsquares fitting method as proposed in this paper.In our experiment,^(239)Pu alpha spectra were measured by a highresolution,passivated implanted planar silicon(PIPS)detector at 10 levels of vacuum and 10 source-detector distances.The spectrum-fitting results were excellent as evaluated by reduced Chi-square(x^2) and correlation coefficients.Finally,the variation of parameters with vacuum level and source-detector distance was studied.Results demonstrate that σ,τ_1,and τ_2 exhibit no obvious trend of variation with vacuum in the range 2000-20,000 mTorr,and at a confidence level of 95%,the values of τ_1 and τ_2 decline in a similar fashion with source-detector distance by the power exponential function,while the value of a declines linearly.展开更多
Efficiency is an important factor in quantitative and qualitative analysis of radionuclides, and the gamma point source efficiency is related to the radial angle,detection distance, and gamma-ray energy. In this work,...Efficiency is an important factor in quantitative and qualitative analysis of radionuclides, and the gamma point source efficiency is related to the radial angle,detection distance, and gamma-ray energy. In this work, on the basis of a back-propagation(BP) neural network model,a method to determine the gamma point source efficiency is developed and validated. The efficiency of the point sources ^(137)Cs and ^(60)Co at discrete radial angles, detection distances, and gamma-ray energies is measured, and the BP neural network prediction model is constructed using MATLAB. The gamma point source efficiencies at different radial angles, detection distances, and gamma-ray energies are predicted quickly and accurately using this nonlinear prediction model. The results show that the maximum error between the predicted and experimental values is 3.732% at 661.661 keV, 11π/24, and 35 cm, and those under other conditions are less than 3%. The gamma point source efficiencies obtained using the BP neural network model are in good agreement with experimental data.展开更多
Purpose:To analyse the hereditary features of a Chinese pedigree with familial vitreous amyloidosis in Liaoning Province,China,and to investigate the correlation between the clinical appearance of the disease and tran...Purpose:To analyse the hereditary features of a Chinese pedigree with familial vitreous amyloidosis in Liaoning Province,China,and to investigate the correlation between the clinical appearance of the disease and transthyretin(TTR)gene mutation,including the locus and type of TTR gene mutation.Methods:Five patients (10 eyes) from one Chinese family were diagnosed with vitreous amyloidosis between July 1996 and April 2009.Family members were followed up subsequently,and peripheral venous blood was obtained from 13 subjects (including 2 patients,and 11 controls without clinical signs of disease).DNA samples were extracted and 4 exons of the TTR gene were amplified by polymerase chain reaction (PCR).The gene fragments were subjected to sequencing analysis.The results were analyzed with DNAMAN Windows 5.2.2.0 and Chromas sequence chart analysis software,TTR gene exons were compared between affected patients and normal controls.Results:Family pedigree analysis revealed that patients were distributed in three generations.Male and female subjects had equal prevalence,and only one parent of affected patients had signs of disease.TTR gene exon sequencing showed that the sequence of patients was identical to that of normal individuals.No TTR gene mutations were noted in 10 unaffected family members.However,a TTR Gly-54 point mutation in the 2nd exon was detected in two patients and 1 unaffected family member (one of the patients' daughters).Vitreous samples in 4 cases (7 eyes) showed positive Congo red staining,suggesting that these family members suffered from familial vitreous amyloidosis.Conclusion:This pedigree affected with familial vitreous amyloidosis was characterized by autosomal dominant inheritance;.a TTR Gly-54 point mutation in the 2nd exon is presumed to be the cause.This Gly-54 point mutation of the TTR gene is a novel mutation in vitreous amyloidosis.展开更多
BACKGROUND Intestinal micro-ecological imbalances impair the intestinal barrier and induce intestinal inflammation,for example,ulcerative colitis(UC).According to the latest research,abnormalities in intestinal microb...BACKGROUND Intestinal micro-ecological imbalances impair the intestinal barrier and induce intestinal inflammation,for example,ulcerative colitis(UC).According to the latest research,abnormalities in intestinal microbiota structure and their metabolites play a dominant role in UC progression;in addition,they could affect the mucus barrier based on different factors.Although numerous studies have confirmed the important role of intestinal microbiota in UC pathogenesis,the intricate connection between microbiota and metabolites and mucus barrier in UC occurrence remains unclear,and correlation analyses of differential microbiota and their metabolites under UC are relatively scarce.AIM To reveal the differential intestinal microbiota and metabolites in UC pathogenesis and explore more sensitive biomarker compositions.METHODS We used the antibiotic combination method to establish intestinal pseudo-aseptic mice;afterward,dextran sulfate sodium(DSS)was applied to establish an acute experimental colitis mice model.Colitis severity,assessed based on disease activity index,colorectal length,colorectal wet weight,and histological lesions,and mucus-related staining(mucopolysaccharide alcian blue and immunofluorescence of mucin),was compared between the pseudo-aseptic and bacterial colitis mice.Finally,differential intestinal microbiota,metabolites,and their association and correlations,were analyzed by 16s rDNA sequencing in combination with non-targeted metabolomics,through gas chromatography-mass spectrometry.RESULTS Compared with the pseudo-aseptic mice,intestinal bacteria positive mice were more severely ill and their intestinal mucus loss was more pronounced in DSS-induced colitis(P<0.05),suggesting that different microbiota and metabolites could cause the different degrees of colitis.Subsequently,we observed that in addition to Klebsiella,and Bacteroides,which were widely associated with colitis,Candidatus Stoquefichus,Anaerobiospirillum,Muribaculum,and Negativibacillus may be involved in protection against colitis.Furthermore,differential metabolites of the microbiota were mainly enriched in the synthesis-related pathways of key structural sequences of mucin.In combination with the mucin-related staining and immunofluorescence results,the findings indicate that the differential microbiota and their metabolites potentially regulate the composition and function of mucus under colitis.CONCLUSION Microbiota and their metabolites are major factors regulating the composition and function of mucus,in turn influencing the function and structure of intestinal mucus barrier under colitis.The different microbiota and metabolites identified in the present study could be novel biomarkers for colitis.展开更多
A self-adaptive differential evolution neutron spectrum unfolding algorithm(SDENUA)is established in this study to unfold the neutron spectra obtained from a water-pumping-injection multilayered concentric sphere neut...A self-adaptive differential evolution neutron spectrum unfolding algorithm(SDENUA)is established in this study to unfold the neutron spectra obtained from a water-pumping-injection multilayered concentric sphere neutron spectrometer(WMNS).Specifically,the neutron fluence bounds are estimated to accelerate the algorithm convergence,and the minimum error between the optimal solution and input neutron counts with relative uncertainties is limited to 10^(-6)to avoid unnecessary calculations.Furthermore,the crossover probability and scaling factor are self-adaptively controlled.FLUKA Monte Carlo is used to simulate the readings of the WMNS under(1)a spectrum of Cf-252 and(2)its spectrum after being moderated,(3)a spectrum used for boron neutron capture therapy,and(4)a reactor spectrum.Subsequently,the measured neutron counts are unfolded using the SDENUA.The uncertainties of the measured neutron count and the response matrix are considered in the SDENUA,which does not require complex parameter tuning or an a priori default spectrum.The results indicate that the solutions of the SDENUA agree better with the IAEA spectra than those of MAXED and GRAVEL in UMG 3.1,and the errors of the final results calculated using the SDENUA are less than 12%.The established SDENUA can be used to unfold spectra from the WMNS.展开更多
BACKGROUND Ulcerative colitis(UC)is an inflammatory bowel disease that is difficult to diagnose and treat.To date,the degree of inflammation in patients with UC has mainly been determined by measuring the levels of no...BACKGROUND Ulcerative colitis(UC)is an inflammatory bowel disease that is difficult to diagnose and treat.To date,the degree of inflammation in patients with UC has mainly been determined by measuring the levels of nonspecific indicators,such as C-reactive protein and the erythrocyte sedimentation rate,but these indicators have an unsatisfactory specificity.In this study,we performed bioinformatics analysis using data from the National Center for Biotechnology Information-Gene Expression Omnibus(NCBI-GEO)databases and verified the selected core genes in a mouse model of dextran sulfate sodium(DSS)-induced colitis.AIM To identify UC-related differentially expressed genes(DEGs)using a bioinformatics analysis and verify them in vivo and to identify novel biomarkers and the underlying mechanisms of UC.METHODS Two microarray datasets from the NCBI-GEO database were used,and DEGs between patients with UC and healthy controls were analyzed using GEO2R and Venn diagrams.We annotated these genes based on their functions and signaling pathways,and then protein-protein interactions(PPIs)were identified using the Search Tool for the Retrieval of Interacting Genes.The data were further analyzed with Cytoscape software and the Molecular Complex Detection(MCODE)app.The core genes were selected and a Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis was performed.Finally,colitis model mice were established by administering DSS,and the top three core genes were verified in colitis mice using real-time polymerase chain reaction(PCR).RESULTS One hundred and seventy-seven DEGs,118 upregulated and 59 downregulated,were initially identified from the GEO2R analysis and predominantly participated in inflammation-related pathways.Seven clusters with close interactions in UC formed:Seventeen core genes were upregulated[C-X-C motif chemokine ligand 13(CXCL13),C-X-C motif chemokine receptor 2(CXCR2),CXCL9,CXCL5,C-C motif chemokine ligand 18,interleukin 1 beta,matrix metallopeptidase 9,CXCL3,formyl peptide receptor 1,complement component 3,CXCL8,CXCL1,CXCL10,CXCL2,CXCL6,CXCL11 and hydroxycarboxylic acid receptor 3]and one was downregulated[neuropeptide Y receptor Y1(NYP1R)]in the top cluster according to the PPI and MCODE analyses.These genes were substantially enriched in the cytokinecytokine receptor interaction and chemokine signaling pathways.The top three core genes(CXCL13,NYP1R,and CXCR2)were selected and verified in a mouse model of colitis using real-time PCR Increased expression was observed compared with the control mice,but only CXCR2 expression was significantly different.CONCLUSION Core DEGs identified in UC are related to inflammation and immunity inflammation,indicating that these reactions are core features of the pathogenesis of UC.CXCR2 may reflect the degree of inflammation in patients with UC.展开更多
Protein phosphorylation is one of the most important post-translational modifications.It is an active research area to study phosphoproteomics for discovery of disease biomarkers and druggable targets.Here we report t...Protein phosphorylation is one of the most important post-translational modifications.It is an active research area to study phosphoproteomics for discovery of disease biomarkers and druggable targets.Here we report the development of superparamagnetic Fe_(3)O_(4)@mZrO_(2) core-shell microspheres with mesoporous structures for highly efficient enrichment of phosphopeptides.We have demonstrated that the mesoporous ZrO_(2) layer dramatically improves the selective enrichment of phosphopeptides.Our approach allows for in-situ elution and sensitive identification of both mono-phosphorylated and multiphosphorylated peptides in MALDI-TOF mass spectrometry,with the detection limit of down to the femtomole range.The target phosphopeptides can reliably be enriched for MS analysis from various complex samples including the spiked protein digests and tumor cell lysates.The Fe_(3)O_(4)@mZrO_(2) coreshell microspheres promise a useful tool for phosphoproteomics by allowing for highly efficient and selective enrichment of the crucial signaling regulators in a low abundance.展开更多
基金financially supported by the Yunnan Science and Technology Introducing project(International Science and Technology Cooperation):Construction Project of Coffee Scientific and Technological Demonstration Districts in Mountainous Areas of Northern Laos(2019IB013)High-end Foreign Experts Program of Yunnan Thousand Talents Program(2019013)Yunnan provincial key programs(2019ZG00901,202002AA10007).
文摘The processability and ultimate quality of coffee(Coffea arabica)are determined by the composition of the matured fruits.The basis of genetic variation in coffee fruit quality could be explained by studying color formation during fruit maturation.Transcriptome profiling was conducted on matured fruits of four C.arabica varieties(orange colored fruits(ORF);purple colored fruits(PF);red colored fruits(RF)and yellow colored fruits(YF))to identify key color-regulating genes,biosynthesis pathways and transcription factors implicated in fruit color formation.A total of 39,938 genes were identified in the transcriptomes of the four C.arabica varieties.In all,2745,781 and 1224 differentially expressed genes(DEGs)were detected in YF_vs_PF,YF_vs_RF and YF_vs_ORF,respectively,with 1732 DEGs conserved among the three pairwise groups.Functional annotation of the DEGs led to the detection of 28 and 82 key genes involved in the biosynthesis of carotenoids and anthocyanins,respectively.Key transcription factors bHLH,MYB,NAC,MADS,and WRKY implicated in fruit color regulation were detected.The high expression levels of gene-LOC113688784(PSY),gene-LOC113730013(b-CHY),gene-LOC113728842(CCD7),gene-LOC113689681(NCED)and gene-LOC113729473(ABA2)in YF may have accounted for the yellow coloration.The differential expression of several anthocyanin and carotenoid-specific genes in the fruits substantially account for the purple(PF),red(RF),and orange(ORF)colorations.This study provides important insights into fruit color formation and variations in C.arabica and will help to develop coffee varieties with specific color and quality traits.
基金Project supported by the National Key Research and Development Program of China (2021YFB4001400)。
文摘This study focused on meeting the stringent stability requirements of tubular segmented-in-series solid oxide fuel cells(SOFCs) in reducing and oxidizing atmospheres.To address this challenge,a bi-layer perovskite ceramic interconnect was designed by controlling the oxygen partial pressure,because of the strong correlation between the conductivity of strontium-doped lanthanum titanate(LST) and the oxygen partial pressure.The LST powder was prepared using solid-phase and sol-gel methods,and their influence on particle size and sintering behavior was compared.LST/lanthanum strontium manganite(LSM) bi-layer ceramic interconnects with varying thicknesses were fabricated through screen printing and co-sintering.The results demonstrate favorable interfacial bonding and excellent chemical compatibility between the ceramic layers.The conductivity of the bi-layer interconnect exhibits a temperature-dependent behavior,peaking at 550℃.Simulation calculations and research findings validate that the co nductivity of the bi-layer interconnect is determined by the thickness of the LSM layer and the oxygen partial pressure at the interconnect interface.Optimal conductivity is achieved with a bilayer interconnect consisting of approximately 15 μm of LST and 4 μm of LSM.This can be attributed to the efficient regulation of oxygen partial pressure at the interface,effectively mitigating LSM decomposition caused by low oxygen partial pressure and the subsequent reduction in conductivity.These results provide valuable fundamental data and methodology for the development of high-performance interconnects for tubular segmented-in-series SOFCs.
基金Four“batches”innovation project of invigorating medicine through science and technology of Shanxi province(Project No.:2023XM059)。
文摘Objective:To investigate the clinical efficacy of Modified Gegen Qinlian Decoction combined with probiotics(Clostridium butyricum live capsules)in treating radiation enteritis(RE)in tumor patients,as well as its regulatory effect on the structure of intestinal flora,providing clinical evidence for the integrated traditional Chinese and Western medicine treatment of radiation enteritis.Methods:A total of 40 patients with radiation enteritis admitted to the Oncology Department of Linfen Central Hospital from September 2023 to December 2024 were selected and divided into an observation group and a control group according to the random number table method,with 20 cases in each group.The control group was treated with Clostridium butyricum live capsules,while the observation group was treated with Modified Gegen Qinlian Decoction in addition to the treatment given to the control group.Both groups received a 4-week treatment course.Intestinal function indicators and changes in intestinal flora structure were compared between the two groups before and after treatment,and clinical efficacy was evaluated.Results:After 4 weeks of treatment,the total effective rate in the observation group versus the control group was(95.00%vs 65.00%),with a statistically significant difference(P<0.05).The fecal formation rate in the observation group(85.00%vs 60.00%)was significantly higher than that in the control group,and the defecation frequency(2.15±0.42 vs 3.85±0.65)times/day was significantly lower than that in the control group,with statistically significant differences(P<0.05).After treatment,the quantities of Bifidobacterium(6.85±0.72 L vs 5.23±0.61 L)gCFU/g and Lactobacillus(6.52±0.68 L vs 4.98±0.57 L)gCFU/g in the observation group were significantly higher than those in the control group,while the quantities of Escherichia coli(4.12±0.53 L vs 5.67±0.65 L)gCFU/g and Staphylococcus(3.85±0.48 L vs 5.23±0.59 L)gCFU/g were significantly lower than those in the control group,with statistically significant differences(P<0.05).Conclusion:Clinical studies have confirmed that the synergistic treatment of radiation enteritis with Modified Gegen Qinlian Decoction and probiotics can significantly improve patients’clinical symptoms and restore the balance of intestinal flora,providing an effective regimen for clinical treatment.
文摘The building construction industry,recognized as one of the eight high-risk sectors,also serves as a crucial pillar of the national economy and a key source of employment.Major project advancements typically concentrate between April to June and September to November each year.However,construction progress tends to slow down during July and August due to increased rainfall associated with the flood season.The impact of the flood season on construction projects is primarily reflected in areas such as civil works,machinery and equipment,and temporary power supply.By establishing a dual-control emergency management system for the flood season,construction enterprises can enhance their emergency response capabilities,effectively reduce management challenges,and improve the overall efficiency of emergency handling.
文摘目的:采用Meta分析的方法,对光学相干断层扫描血管成像技术(OCTA)测量无糖尿病视网膜病变(NDR)的患者黄斑区的血流密度(VD)及浅层中心凹无血管区(FAZ)面积进行系统评价,探讨糖尿病早期视网膜的微循环特征。方法:在PubMed、Embase、Web of Science、Cochrane Library数据库中全面检索发表于2011-01-01/2021-01-05之间关于OCTA分析NDR患者黄斑区不同区域血流密度的研究。比较NDR组与正常对照组(同期年龄、性别与NDR组患者相匹配的健康人群)在浅层旁中心凹血流密度(spafVD)、浅层中心凹周围血流密度(spefVD)、深层旁中心凹血流密度(dpafVD)、深层中心凹周围血流密度(dpefVD)、浅层FAZ面积、最佳矫正视力(BCVA)。结果:研究纳入文献13篇,共1227眼(正常对照组558眼,NDR组669眼)。Meta分析结果显示:与正常对照组相比,NDR组spafVD(MD=-1.90,95%CI:-2.43~-1.37,P<0.00001)、spefVD(MD=-1.29,95%CI:-2.14~-0.44,P=0.003)、dpafVD(MD=-2.18,95%CI:-2.69~-1.67,P<0.00001)、dpefVD(MD=-2.37,95%CI:-3.27~-1.46,P<0.00001)显著降低,其中dpefVD降低更明显;浅层FAZ面积(MD=0.04,95%CI:0.03~0.06,P<0.00001)增大;两组BCVA比较无差异(MD=0.00,95%CI:-0.01~0.02,P=0.44)。结论:黄斑区深层中心凹周围区毛细血管损伤是糖尿病患者视网膜微循环障碍的最早期表现,也是糖尿病视网膜病变临床随访的关键指标。
基金supported by the National Natural Science Foundation of China(Nos.41374130 and 41604154)
文摘With respect to the gamma spectrum, the energy resolution improves with increase in energy. The counts of full energy peak change with energy, and this approximately complies with the Gaussian distribution. This study mainly examines a method to deconvolve the LaBr_3:Ce gamma spectrum with a detector response matrix constructing algorithm based on energy resolution calibration.In the algorithm, the full width at half maximum(FWHM)of full energy peak was calculated by the cubic spline interpolation algorithm and calibrated by a square root of a quadratic function that changes with the energy. Additionally, the detector response matrix was constructed to deconvolve the gamma spectrum. Furthermore, an improved SNIP algorithm was proposed to eliminate the background. In the experiment, several independent peaks of ^(152)Eu,^(137)Cs, and ^(60)Co sources were detected by a LaBr_3:Ce scintillator that were selected to calibrate the energy resolution. The Boosted Gold algorithm was applied to deconvolve the gamma spectrum. The results showed that the peak position difference between the experiment and the deconvolution was within ± 2 channels and the relative error of peak area was approximately within 0.96–6.74%. Finally, a ^(133) Ba spectrum was deconvolved to verify the efficiency and accuracy of the algorithm in unfolding the overlapped peaks.
基金supported by the National Natural Science Foundation of China(No.50578146,20876151)the National Science Foundation of Zhejiang Province,China(No.Y5080178)
文摘Fe_(3)O_(4)-CoO/Al_(2)O_(3)catalyst was prepared by incipient wetness impregnation using Fe(NO3)3.9H2O and Co(NO3)2.6H2O as the precursors,and its catalytic performance was investigated in ozonation of 2-(2,4-dichlorophenoxy)propionic acid(2,4-DP),nitrobenzene and oxalic acid.The experimental results indicated that Fe_(3)O_(4)-CoO/Al_(2)O_(3)catalyst enabled an interesting improvement of ozonation efficiency during the degradation of each organic pollutant,and the Fe_(3)O_(4)-CoO/Al_(2)O_(3)catalytic ozonation system followed a radical-type mechanism.The kinetics of ozonation alone and Fe_(3)O_(4)-CoO/Al_(2)O_(3)catalytic ozonation of three organic pollutants in aqueous solution were discussed under the mere consideration of direct ozone reaction and OH radical reaction to well investigate its performance.In the catalytic ozonation of 2,4-DP,the apparent reaction rate constants(k)were determined to be 1.456×10^-2 min-1 for ozonation alone and 4.740×10^-2 min^-1 for O3/Fe_(3)O_(4)-CoO/Al_(2)O_(3).And O3/Fe_(3)O_(4)-CoO/Al_(2)O_(3)had a larger Rot(6.614×10^-9)calculated by the relative method than O3 did(1.800 x 10-9),showing O3/Fe_(3)O_(4)-CoO/Al_(2)O_(3)generated more hydroxyl radical.Similar results were also obtained in the catalytic ozonation of nitrobenzene and oxalic acid.The above results demonstrated that the catalytic performance of Fe_(3)O_(4)-CoO/Al_(2)O_(3)in ozonation of studied organic substance was universal to a certain degree.
基金supported in part by the National Natural Science Foundation of China for Young Scholars under Grant No.61701167Young Elite Backbone Teachers in Blue and Blue Project of Jiangsu Province, China
文摘In order to improve the energy efficiency(EE)in cognitive radio(CR),this paper investigates the joint design of cooperative spectrum sensing time and the power control optimization problem for the secondary user systems to achieve the maximum energy efficiency in a cognitive network based on hybrid spectrum sharing,meanwhile considering the maximum transmit power,user quality of service(QoS)requirements,interference limitations,and primary user protection.The optimization of energy efficient sensing time and power allocation is formulated as a non-convex optimization problem.The Dinkelbach’s method is adopted to solve this problem and to transform the non-convex optimization problem in fractional form into an equivalent optimization problem in the form of subtraction.Then,an iterative power allocation algorithm is proposed to solve the optimization problem.The simulation results show the effectiveness of the proposed algorithms for energy-efficient resource allocation in the cognitive network.
基金supported by the National Natural Science Foundation of China(Nos.41374130 and 41604154)Opening Foundation of Sichuan Provincial Key Lab of Applied Nuclear Techniques in Geosciences(No.gnzds2014003)the Open Fund of Robot Technology Used for Special Environment Key Laboratory of Sichuan Province(13zxtk04)
文摘Effect factors of the absorption of the source,air,entrance window,and dead layer of a detector must be considered in the measurement of monoenergetic alpha particles,along with statistical noise and other factors that collectively cause the alpha spectrum to exhibit a well-known low-energy tail.Therefore,the estabUshment of an alpha spectrum detector response function from the perspective of a signaling system must consider the various factors mentioned above.The detector response function is the convolution of an alphaparticle pulse function,two exponential functions,and a Gaussian function,followed by calculation of the parameters of the detector response function using the weighted leastsquares fitting method as proposed in this paper.In our experiment,^(239)Pu alpha spectra were measured by a highresolution,passivated implanted planar silicon(PIPS)detector at 10 levels of vacuum and 10 source-detector distances.The spectrum-fitting results were excellent as evaluated by reduced Chi-square(x^2) and correlation coefficients.Finally,the variation of parameters with vacuum level and source-detector distance was studied.Results demonstrate that σ,τ_1,and τ_2 exhibit no obvious trend of variation with vacuum in the range 2000-20,000 mTorr,and at a confidence level of 95%,the values of τ_1 and τ_2 decline in a similar fashion with source-detector distance by the power exponential function,while the value of a declines linearly.
基金supported by the National Natural Science Foundation of China(Nos.41374130 and 41604154)Science and Technology Program of Sichuan,China(No.2017GZ0359)+1 种基金Science and Technology Support Program of Sichuan,China(No.2015JY0007)Open Foundation for Artificial Intelligence Key Laboratory of Sichuan Province of China(No.2016RYJ08)
文摘Efficiency is an important factor in quantitative and qualitative analysis of radionuclides, and the gamma point source efficiency is related to the radial angle,detection distance, and gamma-ray energy. In this work, on the basis of a back-propagation(BP) neural network model,a method to determine the gamma point source efficiency is developed and validated. The efficiency of the point sources ^(137)Cs and ^(60)Co at discrete radial angles, detection distances, and gamma-ray energies is measured, and the BP neural network prediction model is constructed using MATLAB. The gamma point source efficiencies at different radial angles, detection distances, and gamma-ray energies are predicted quickly and accurately using this nonlinear prediction model. The results show that the maximum error between the predicted and experimental values is 3.732% at 661.661 keV, 11π/24, and 35 cm, and those under other conditions are less than 3%. The gamma point source efficiencies obtained using the BP neural network model are in good agreement with experimental data.
文摘Purpose:To analyse the hereditary features of a Chinese pedigree with familial vitreous amyloidosis in Liaoning Province,China,and to investigate the correlation between the clinical appearance of the disease and transthyretin(TTR)gene mutation,including the locus and type of TTR gene mutation.Methods:Five patients (10 eyes) from one Chinese family were diagnosed with vitreous amyloidosis between July 1996 and April 2009.Family members were followed up subsequently,and peripheral venous blood was obtained from 13 subjects (including 2 patients,and 11 controls without clinical signs of disease).DNA samples were extracted and 4 exons of the TTR gene were amplified by polymerase chain reaction (PCR).The gene fragments were subjected to sequencing analysis.The results were analyzed with DNAMAN Windows 5.2.2.0 and Chromas sequence chart analysis software,TTR gene exons were compared between affected patients and normal controls.Results:Family pedigree analysis revealed that patients were distributed in three generations.Male and female subjects had equal prevalence,and only one parent of affected patients had signs of disease.TTR gene exon sequencing showed that the sequence of patients was identical to that of normal individuals.No TTR gene mutations were noted in 10 unaffected family members.However,a TTR Gly-54 point mutation in the 2nd exon was detected in two patients and 1 unaffected family member (one of the patients' daughters).Vitreous samples in 4 cases (7 eyes) showed positive Congo red staining,suggesting that these family members suffered from familial vitreous amyloidosis.Conclusion:This pedigree affected with familial vitreous amyloidosis was characterized by autosomal dominant inheritance;.a TTR Gly-54 point mutation in the 2nd exon is presumed to be the cause.This Gly-54 point mutation of the TTR gene is a novel mutation in vitreous amyloidosis.
基金Supported by the 13th Five-Year Plan for National Key R&D Program of China,No. 2018YFC1705405Scientific Research Innovation Team Project of Beijing University of Chinese Medicine,No. 2019-JYB-TD004+1 种基金New Faculty Startup Fund Program of BUCM,No. 2022-JYB-XJSJJ078National Natural Science Foundation of China,No. 82004113
文摘BACKGROUND Intestinal micro-ecological imbalances impair the intestinal barrier and induce intestinal inflammation,for example,ulcerative colitis(UC).According to the latest research,abnormalities in intestinal microbiota structure and their metabolites play a dominant role in UC progression;in addition,they could affect the mucus barrier based on different factors.Although numerous studies have confirmed the important role of intestinal microbiota in UC pathogenesis,the intricate connection between microbiota and metabolites and mucus barrier in UC occurrence remains unclear,and correlation analyses of differential microbiota and their metabolites under UC are relatively scarce.AIM To reveal the differential intestinal microbiota and metabolites in UC pathogenesis and explore more sensitive biomarker compositions.METHODS We used the antibiotic combination method to establish intestinal pseudo-aseptic mice;afterward,dextran sulfate sodium(DSS)was applied to establish an acute experimental colitis mice model.Colitis severity,assessed based on disease activity index,colorectal length,colorectal wet weight,and histological lesions,and mucus-related staining(mucopolysaccharide alcian blue and immunofluorescence of mucin),was compared between the pseudo-aseptic and bacterial colitis mice.Finally,differential intestinal microbiota,metabolites,and their association and correlations,were analyzed by 16s rDNA sequencing in combination with non-targeted metabolomics,through gas chromatography-mass spectrometry.RESULTS Compared with the pseudo-aseptic mice,intestinal bacteria positive mice were more severely ill and their intestinal mucus loss was more pronounced in DSS-induced colitis(P<0.05),suggesting that different microbiota and metabolites could cause the different degrees of colitis.Subsequently,we observed that in addition to Klebsiella,and Bacteroides,which were widely associated with colitis,Candidatus Stoquefichus,Anaerobiospirillum,Muribaculum,and Negativibacillus may be involved in protection against colitis.Furthermore,differential metabolites of the microbiota were mainly enriched in the synthesis-related pathways of key structural sequences of mucin.In combination with the mucin-related staining and immunofluorescence results,the findings indicate that the differential microbiota and their metabolites potentially regulate the composition and function of mucus under colitis.CONCLUSION Microbiota and their metabolites are major factors regulating the composition and function of mucus,in turn influencing the function and structure of intestinal mucus barrier under colitis.The different microbiota and metabolites identified in the present study could be novel biomarkers for colitis.
基金supported by the National Key R&D Program of the MOST of China(No.2016YFA0300204)the National Natural Science Foundation of China(Nos.11227902)as part of the Si PáME2beamline project+1 种基金supported by the National Natural Science Foundation of China(No.41774120)the Sichuan Science and Technology Program(No.2021YJ0329)。
文摘A self-adaptive differential evolution neutron spectrum unfolding algorithm(SDENUA)is established in this study to unfold the neutron spectra obtained from a water-pumping-injection multilayered concentric sphere neutron spectrometer(WMNS).Specifically,the neutron fluence bounds are estimated to accelerate the algorithm convergence,and the minimum error between the optimal solution and input neutron counts with relative uncertainties is limited to 10^(-6)to avoid unnecessary calculations.Furthermore,the crossover probability and scaling factor are self-adaptively controlled.FLUKA Monte Carlo is used to simulate the readings of the WMNS under(1)a spectrum of Cf-252 and(2)its spectrum after being moderated,(3)a spectrum used for boron neutron capture therapy,and(4)a reactor spectrum.Subsequently,the measured neutron counts are unfolded using the SDENUA.The uncertainties of the measured neutron count and the response matrix are considered in the SDENUA,which does not require complex parameter tuning or an a priori default spectrum.The results indicate that the solutions of the SDENUA agree better with the IAEA spectra than those of MAXED and GRAVEL in UMG 3.1,and the errors of the final results calculated using the SDENUA are less than 12%.The established SDENUA can be used to unfold spectra from the WMNS.
基金Chinese Medicine Inheritance and Innovation“One Hundred Million”Talent Project Qihuang Scholar(to Li JX)The National Key R&D Program of China during the 13th Five-Year Plan Period,No.2018YFC1705405and The 66th China Postdoctoral Science Foundation,No.2019M660575.
文摘BACKGROUND Ulcerative colitis(UC)is an inflammatory bowel disease that is difficult to diagnose and treat.To date,the degree of inflammation in patients with UC has mainly been determined by measuring the levels of nonspecific indicators,such as C-reactive protein and the erythrocyte sedimentation rate,but these indicators have an unsatisfactory specificity.In this study,we performed bioinformatics analysis using data from the National Center for Biotechnology Information-Gene Expression Omnibus(NCBI-GEO)databases and verified the selected core genes in a mouse model of dextran sulfate sodium(DSS)-induced colitis.AIM To identify UC-related differentially expressed genes(DEGs)using a bioinformatics analysis and verify them in vivo and to identify novel biomarkers and the underlying mechanisms of UC.METHODS Two microarray datasets from the NCBI-GEO database were used,and DEGs between patients with UC and healthy controls were analyzed using GEO2R and Venn diagrams.We annotated these genes based on their functions and signaling pathways,and then protein-protein interactions(PPIs)were identified using the Search Tool for the Retrieval of Interacting Genes.The data were further analyzed with Cytoscape software and the Molecular Complex Detection(MCODE)app.The core genes were selected and a Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis was performed.Finally,colitis model mice were established by administering DSS,and the top three core genes were verified in colitis mice using real-time polymerase chain reaction(PCR).RESULTS One hundred and seventy-seven DEGs,118 upregulated and 59 downregulated,were initially identified from the GEO2R analysis and predominantly participated in inflammation-related pathways.Seven clusters with close interactions in UC formed:Seventeen core genes were upregulated[C-X-C motif chemokine ligand 13(CXCL13),C-X-C motif chemokine receptor 2(CXCR2),CXCL9,CXCL5,C-C motif chemokine ligand 18,interleukin 1 beta,matrix metallopeptidase 9,CXCL3,formyl peptide receptor 1,complement component 3,CXCL8,CXCL1,CXCL10,CXCL2,CXCL6,CXCL11 and hydroxycarboxylic acid receptor 3]and one was downregulated[neuropeptide Y receptor Y1(NYP1R)]in the top cluster according to the PPI and MCODE analyses.These genes were substantially enriched in the cytokinecytokine receptor interaction and chemokine signaling pathways.The top three core genes(CXCL13,NYP1R,and CXCR2)were selected and verified in a mouse model of colitis using real-time PCR Increased expression was observed compared with the control mice,but only CXCR2 expression was significantly different.CONCLUSION Core DEGs identified in UC are related to inflammation and immunity inflammation,indicating that these reactions are core features of the pathogenesis of UC.CXCR2 may reflect the degree of inflammation in patients with UC.
基金supported by the National Key Research and Development Program of China(2017YFE0131700)and the National Natural Science Foundation of China(21874096)+3 种基金a project supported by Collaborative Innovation Center of Suzhou Nano Science and Technologythe 111 ProjectJoint International Research Laboratory of Carbon-Based Functional Materials and Devicesthe Priority Academic Program Development of Jiangsu Higher Education Institutions(PAPD)。
文摘Protein phosphorylation is one of the most important post-translational modifications.It is an active research area to study phosphoproteomics for discovery of disease biomarkers and druggable targets.Here we report the development of superparamagnetic Fe_(3)O_(4)@mZrO_(2) core-shell microspheres with mesoporous structures for highly efficient enrichment of phosphopeptides.We have demonstrated that the mesoporous ZrO_(2) layer dramatically improves the selective enrichment of phosphopeptides.Our approach allows for in-situ elution and sensitive identification of both mono-phosphorylated and multiphosphorylated peptides in MALDI-TOF mass spectrometry,with the detection limit of down to the femtomole range.The target phosphopeptides can reliably be enriched for MS analysis from various complex samples including the spiked protein digests and tumor cell lysates.The Fe_(3)O_(4)@mZrO_(2) coreshell microspheres promise a useful tool for phosphoproteomics by allowing for highly efficient and selective enrichment of the crucial signaling regulators in a low abundance.
