As a significant city in the Yangtze River Delta regions,Hefei has experienced rapid changes in the sources of air pollution due to its high-speed economic development and urban expansion.However,there has been limite...As a significant city in the Yangtze River Delta regions,Hefei has experienced rapid changes in the sources of air pollution due to its high-speed economic development and urban expansion.However,there has been limited research in recent years on the spatial-temporal distribution and emission of its atmospheric pollutants.To address this,this study conducted mobile observations of urban roads using the Mobile-DOAS instrument from June 2021 to May 2022.The monitoring results exhibit a favourable consistent with TROPOMI satellite data and ground monitoring station data.Temporally,there were pronounced seasonal variations in air pollutants.Spatially,high concentration of HCHO and NO_(2)were closely associated with traffic congestion on roadways,while heightened SO_(2)levels were attributed to winter heating and industrial emissions.The study also revealed that with the implementation of road policies,the average vehicle speed increased by 95.4%,while the NO concentration decreased by 54.4%.In the estimation of urban NO_(x)emission flux,it was observed that in temporal terms,compared with inventory data,the emissions calculated viamobile measurements exhibitedmore distinct seasonal patterns,with the highest emission rate of 349 g/sec in winter and the lowest of 142 g/sec in summer.In spatial terms,the significant difference in emissions between the inner and outer ring roads also suggests the presence of the city’s primary NO_(x)emission sources in the area between these two rings.This study offers data support for formulating the next phase of air pollution control measures in urban areas.展开更多
Rice is a poor source of folate,an essential micronutrient for the body.Biofortification offers an effective way to enhance the folate content of rice and alleviate folate deficiencies in humans.In this study,we confi...Rice is a poor source of folate,an essential micronutrient for the body.Biofortification offers an effective way to enhance the folate content of rice and alleviate folate deficiencies in humans.In this study,we confirmed that OsADCS and OsGTPCHI,encoding the initial enzymes necessary for folate synthesis,positively regulate folate accumulation in knockout mutants of both japonica and indica rice backgrounds.The folate content in the low-folate japonica variety was slightly increased by the expression of the indica alleles driven by the endosperm-specific promoter.We further obtained co-expression lines by stacking OsADCS and OsGTPCHI genes;the folate accumulation in brown rice and polished rice reached 5.65μg/g and 2.95μg/g,respectively,representing 37.9-fold and 26.5-fold increases compared with the wild type.Transcriptomic analysis of rice grains from six transgenic lines showed that folate changes affected biological pathways involved in the synthesis and metabolism of rice seed storage substances,while the expression of other folate synthesis genes was weakly regulated.In addition,we identified Aus rice as a high-folate germplasm carrying superior haplotypes of OsADCS and OsGTPCHI through natural variation.This study provides an alternative and effective complementary strategy for rice biofortification,promoting the rational combination of metabolic engineering and conventional breeding to breed high-folate varieties.展开更多
Objective INF2 is a member of the formins family.Abnormal expression and regulation of INF2 have been associated with the progression of various tumors,but the expression and role of INF2 in hepatocellular carcinoma(H...Objective INF2 is a member of the formins family.Abnormal expression and regulation of INF2 have been associated with the progression of various tumors,but the expression and role of INF2 in hepatocellular carcinoma(HCC)remain unclear.HCC is a highly lethal malignant tumor.Given the limitations of traditional treatments,this study explored the expression level,clinical value and potential mechanism of INF2 in HCC in order to seek new therapeutic targets.Methods In this study,we used public databases to analyze the expression of INF2 in pan-cancer and HCC,as well as the impact of INF2 expression levels on HCC prognosis.Quantitative real time polymerase chain reaction(RT-qPCR),Western blot,and immunohistochemistry were used to detect the expression level of INF2 in liver cancer cells and human HCC tissues.The correlation between INF2 expression and clinical pathological features was analyzed using public databases and clinical data of human HCC samples.Subsequently,the effects of INF2 expression on the biological function and Drp1 phosphorylation of liver cancer cells were elucidated through in vitro and in vivo experiments.Finally,the predictive value and potential mechanism of INF2 in HCC were further analyzed through database and immunohistochemical experiments.Results INF2 is aberrantly high expression in HCC samples and the high expression of INF2 is correlated with overall survival,liver cirrhosis and pathological differentiation of HCC patients.The expression level of INF2 has certain diagnostic value in predicting the prognosis and pathological differentiation of HCC.In vivo and in vitro HCC models,upregulated expression of INF2 triggers the proliferation and migration of the HCC cell,while knockdown of INF2 could counteract this effect.INF2 in liver cancer cells may affect mitochondrial division by inducing Drp1 phosphorylation and mediate immune escape by up-regulating PD-L1 expression,thus promoting tumor progression.Conclusion INF2 is highly expressed in HCC and is associated with poor prognosis.High expression of INF2 may promote HCC progression by inducing Drp1 phosphorylation and up-regulation of PD-L1 expression,and targeting INF2 may be beneficial for HCC patients with high expression of INF2.展开更多
The xylitol dehydrogenase(XDH)is a crucial enzyme involved in the xylose utilization in pentose⁃catabolizing yeasts and fungi.In addition to producing xylulose,XDH can also be employed to develop a biosensor for monit...The xylitol dehydrogenase(XDH)is a crucial enzyme involved in the xylose utilization in pentose⁃catabolizing yeasts and fungi.In addition to producing xylulose,XDH can also be employed to develop a biosensor for monitoring xylitol concentration.In this study,the gene encoding the thermophilic fungus Talaromyces emersonii XDH(TeXDH)was heterologously expressed in Escherichia coli BL21(DE3)at 16℃in the soluble form.Recombinant TeXDH with high purity was purified by using a Ni⁃NTA affinity column.Size⁃exclusion chromatography and SDS⁃PAGE analysis demonstrated that the puri⁃fied recombinant TeXDH exists as a native trimer with a molecular mass of approximately 116 kD,and is composed of three identical subunits,each with a molecular weight of around 39 kD.The TeXDH strictly preferred NAD^(+)as a coenzyme to NADP^(+).The optimal temperature and pH of the TeXDH were 40℃and 10.0,respectively.After EDTA treatment,the enzyme activity of TeXDH decreased to 43.26%of the initial enzyme activity,while the divalent metal ions Mg^(2+)or Ca^(2+)could recover the enzyme activity of TeXDH,reaching 103.32%and 110.69%of the initial enzyme activity,respectively,making them the optimal divalent metal ion cofactors for TeXDH enzyme.However,the divalent metal ions of Mn^(2+),Ni^(2+),Cu^(2+),Zn^(2+),Co^(2+),and Cd^(2+)significantly inhibited the activity of TeXDH.ICP⁃MS and molecular doc⁃king studies revealed that 1 mol/L of TeXDH bound 2 mol/L Zn^(2+)ions and 1 mol/L Mg^(2+)ion.Further⁃more,TeXDH exhibited a high specificity for xylitol,laying the foundation for the development of future xylitol biosensors.展开更多
DNA microarray technology is an extremely effective technique for studying gene expression patterns in cells, and the main challenge currently faced by this technology is how to analyze the large amount of gene expres...DNA microarray technology is an extremely effective technique for studying gene expression patterns in cells, and the main challenge currently faced by this technology is how to analyze the large amount of gene expression data generated. To address this, this paper employs a mixed-effects model to analyze gene expression data. In terms of data selection, 1176 genes from the white mouse gene expression dataset under two experimental conditions were chosen, setting up two conditions: pneumococcal infection and no infection, and constructing a mixed-effects model. After preprocessing the gene chip information, the data were imported into the model, preliminary results were calculated, and permutation tests were performed to biologically validate the preliminary results using GSEA. The final dataset consists of 20 groups of gene expression data from pneumococcal infection, which categorizes functionally related genes based on the similarity of their expression profiles, facilitating the study of genes with unknown functions.展开更多
Neuronal activity,synaptic transmission,and molecular changes in the basolateral amygdala play critical roles in fear memory.Cylindromatosis(CYLD)is a deubiquitinase that negatively regulates the nuclear factor kappa-...Neuronal activity,synaptic transmission,and molecular changes in the basolateral amygdala play critical roles in fear memory.Cylindromatosis(CYLD)is a deubiquitinase that negatively regulates the nuclear factor kappa-B pathway.CYLD is well studied in non-neuronal cells,yet underinvestigated in the brain,where it is highly expressed.Emerging studies have shown involvement of CYLD in the remodeling of glutamatergic synapses,neuroinflammation,fear memory,and anxiety-and autism-like behaviors.However,the precise role of CYLD in glutamatergic neurons is largely unknown.Here,we first proposed involvement of CYLD in cued fear expression.We next constructed transgenic model mice with specific deletion of Cyld from glutamatergic neurons.Our results show that glutamatergic CYLD deficiency exaggerated the expression of cued fear in only male mice.Further,loss of CYLD in glutamatergic neurons resulted in enhanced neuronal activation,impaired excitatory synaptic transmission,and altered levels of glutamate receptors accompanied by over-activation of microglia in the basolateral amygdala of male mice.Altogether,our study suggests a critical role of glutamatergic CYLD in maintaining normal neuronal,synaptic,and microglial activation.This may contribute,at least in part,to cued fear expression.展开更多
In the current situation of decelerating economic expansion,examining the digital economy(DE)as a novel economic model is beneficial for the local economy’s sustainable and high-quality development(HQD).We analyzed p...In the current situation of decelerating economic expansion,examining the digital economy(DE)as a novel economic model is beneficial for the local economy’s sustainable and high-quality development(HQD).We analyzed panel data from the Yellow River(YR)region from 2013 to 2021 and discovered notable spatial variances in the composite index and coupling coordination of the two systems.Specifically,the downstream region exhibited the highest coupling coordination,while the upstream region had the lowest.We identified that favorable factors such as economic development,innovation,industrial upgrading,and government intervention can bolster the coupling.Our findings provide a valuable framework for promoting DE and HQD in the YR region.展开更多
Accurate traffic flow prediction has a profound impact on modern traffic management. Traffic flow has complex spatial-temporal correlations and periodicity, which poses difficulties for precise prediction. To address ...Accurate traffic flow prediction has a profound impact on modern traffic management. Traffic flow has complex spatial-temporal correlations and periodicity, which poses difficulties for precise prediction. To address this problem, a Multi-head Self-attention and Spatial-Temporal Graph Convolutional Network (MSSTGCN) for multiscale traffic flow prediction is proposed. Firstly, to capture the hidden traffic periodicity of traffic flow, traffic flow is divided into three kinds of periods, including hourly, daily, and weekly data. Secondly, a graph attention residual layer is constructed to learn the global spatial features across regions. Local spatial-temporal dependence is captured by using a T-GCN module. Thirdly, a transformer layer is introduced to learn the long-term dependence in time. A position embedding mechanism is introduced to label position information for all traffic sequences. Thus, this multi-head self-attention mechanism can recognize the sequence order and allocate weights for different time nodes. Experimental results on four real-world datasets show that the MSSTGCN performs better than the baseline methods and can be successfully adapted to traffic prediction tasks.展开更多
Spatial-temporal traffic prediction technology is crucial for network planning,resource allocation optimizing,and user experience improving.With the development of virtual network operators,multi-operator collaboratio...Spatial-temporal traffic prediction technology is crucial for network planning,resource allocation optimizing,and user experience improving.With the development of virtual network operators,multi-operator collaborations,and edge computing,spatial-temporal traffic data has taken on a distributed nature.Consequently,noncentralized spatial-temporal traffic prediction solutions have emerged as a recent research focus.Currently,the majority of research typically adopts federated learning methods to train traffic prediction models distributed on each base station.This method reduces additional burden on communication systems.However,this method has a drawback:it cannot handle irregular traffic data.Due to unstable wireless network environments,device failures,insufficient storage resources,etc.,data missing inevitably occurs during the process of collecting traffic data.This results in the irregular nature of distributed traffic data.Yet,commonly used traffic prediction models such as Recurrent Neural Networks(RNN)and Long Short-Term Memory(LSTM)typically assume that the data is complete and regular.To address the challenge of handling irregular traffic data,this paper transforms irregular traffic prediction into problems of estimating latent variables and generating future traffic.To solve the aforementioned problems,this paper introduces split learning to design a structured distributed learning framework.The framework comprises a Global-level Spatial structure mining Model(GSM)and several Nodelevel Generative Models(NGMs).NGM and GSM represent Seq2Seq models deployed on the base station and graph neural network models deployed on the cloud or central controller.Firstly,the time embedding layer in NGM establishes the mapping relationship between irregular traffic data and regular latent temporal feature variables.Secondly,GSM collects statistical feature parameters of latent temporal feature variables from various nodes and executes graph embedding for spatial-temporal traffic data.Finally,NGM generates future traffic based on latent temporal and spatial feature variables.The introduction of the time attention mechanism enhances the framework’s capability to handle irregular traffic data.Graph attention network introduces spatially correlated base station traffic feature information into local traffic prediction,which compensates for missing information in local irregular traffic data.The proposed framework effectively addresses the distributed prediction issues of irregular traffic data.By testing on real world datasets,the proposed framework improves traffic prediction accuracy by 35%compared to other commonly used distributed traffic prediction methods.展开更多
Mandarin fish(Siniperca scherzeri) has high market prices and significant market potential in China because of its highquality meat and high nutritional value. However, due to the limited scale of aquaculture, meeting...Mandarin fish(Siniperca scherzeri) has high market prices and significant market potential in China because of its highquality meat and high nutritional value. However, due to the limited scale of aquaculture, meeting the market demand is difficult, making the effective development of the aquaculture potential of mandarin fish an important challenge for the industry. In this study, a 30-d breeding experiment was conducted on mandarin fish larvae under three photoperiod conditions: G1 8 h light:16 h dark(8L:16D), G2 12 h light:12 h dark(12L:12D), and G3 16 h light:8 h dark(16L:8D). The results showed that the G2 group exhibited the best growth performance and development status, with final body weights, weight gain rates, and specific growth rates all higher than those of the other two groups(P < 0.05). Observations of sections from each group revealed that the intestinal villi length and muscle thickness of the G2 group were significantly greater than those of the other two groups(P < 0.05). The G2 group inhibited the transcriptional activation of key circadian rhythm genes, including nr1d2a, nr1d1 and per1, while upregulating the expression of BMAL1 in S. scherzeri.The activation of both the insulin signalling pathway and the Fox O signalling pathway enhanced the efficient secretion of insulin, which subsequently played a critical role in regulating fatty acid metabolism. This active fatty acid metabolism provided an optimal energy supply, ensuring that other nutrients were fully utilized during the growth and development process while minimizing unnecessary nutrient loss. Consequently, this mechanism effectively promoted the overall growth and development of S. scherzeri. This study was the first to elucidate the transcriptomic expression patterns of S. scherzeri under varying photoperiod conditions. In response to the cyclic alternation of day and night, S. scherzeri regulated their metabolic levels and the transcriptional activation of downstream target genes via insulin signalling.展开更多
Kinesins are a superfamily of proteins widely present in eukaryotes,playing crucial roles in plant cell wall assembly,cell elongation regulation,gravity sensing,and fertility control.In this study,bioinformatics analy...Kinesins are a superfamily of proteins widely present in eukaryotes,playing crucial roles in plant cell wall assembly,cell elongation regulation,gravity sensing,and fertility control.In this study,bioinformatics analysis of the OsKMP2 gene(LOC_Os02g28850)was performed using online tools such as ExPASy-ProtParam,ProtScale,CD-search,and DNAMAN software.Additionally,qRT-PCR was employed to analyze the tissue expression pattern of OsKMP2.The results showed that the molecular weight of the OsKMP2 is 118.39728 kDa,and it is a hydrophilic and unstable acidic protein.Secondary structure prediction revealed that it primarily consists ofα-helices(69.45%),random coils(25.19%),and extended strands(5.36%).The gene was expressed in various rice tissues,with the highest expression level observed in leaves.These results indicate that the OsKMP2 gene exhibits high evolutionary conservation and functional diversity in rice.展开更多
Laminarin oligosaccharides(LOSs)with a specific degree of polymerization prepared through the laminarin degradation via laminarinase present more significant nutritional functions and application values.Human intestin...Laminarin oligosaccharides(LOSs)with a specific degree of polymerization prepared through the laminarin degradation via laminarinase present more significant nutritional functions and application values.Human intestinal bacteria are promising potential producers of novel carbohydrate-active enzymes with unique properties.Here,a novel glycoside hydrolase family 128(GH128)laminarinase OUC-BsLam26 from the intestinal bacterium Bacteroides sp.CBA7301 was heterologously expressed and characterized.The recombinant OUC-BsLam26 with a molecular mass of 49.86 kDa exhibits highest activity(6.60 U/mg)at 45℃ and pH 6.0,which shows noticeable temperature and pH stability.The purified OUC-BsLam26 could degrade laminarin via an endo-type mode with the generation of laminaripentaose,laminaritetraose,laminaritriose,and laminaribiose,among them,laminaritetraose is the principal product,which accounts for 45.25% of the total products,which is significantly different from the reported GH128 laminarinases.The minimum recognition substrate of OUC-BsLam26 is laminarihexaose.Furthermore,OUC-BsLam26 also could catalyze the transglycosylation process with the production of some novel glycosides.Altogether,the intestinal bacterium Bacteroides sp.CBA7301 contains laminarinase with unique product composition and OUC-BsLam26 is a hopeful bio-catalyst with the potential to produce laminaritetraose and some novel glycosides.展开更多
Nursing students often exhibit emotional suppression,avoidance,or over-expression when confronted with high-pressure work environments and emotional challenges.These disorders affect nursing students mental health,pro...Nursing students often exhibit emotional suppression,avoidance,or over-expression when confronted with high-pressure work environments and emotional challenges.These disorders affect nursing students mental health,professional adaptation,and quality of communication with patients.The causes of emotional expression difficulties include individual personality,emotional intelligence,educational background,and socio-cultural pressures.To address this issue,it is recommended to enhance nursing students emotional expression and regulation capabilities through psychological interventions,emotional intelligence training,and optimization of educational systems,thereby improving their mental health and career development,ultimately enhancing nursing service quality and doctor-patient relationships.展开更多
In Japan,manga expression theory has developed over more than half a century into a major subfield within Japanese manga studies and has been widely applied in the practice of manga criticism.As a methodological appro...In Japan,manga expression theory has developed over more than half a century into a major subfield within Japanese manga studies and has been widely applied in the practice of manga criticism.As a methodological approach to manga research,it has been deeply influenced by semiotics,rejecting text-centered or narrative-centered paradigms in favor of examining manga’s intrinsic principles and inherent structures.Originating from the theoretical groundwork laid by JunzōIshiko(石子順造),further refined by scholars such as Fusanosuke Natsume(夏目房之介)and Osamu Takeuchi(竹内オサム),and later expanded and reinterpreted by GōItō(伊藤剛)and Tomoyo Iwashita(岩下朋世),manga expression theory has developed into a rich and diverse intellectual landscape.However,significant internal divergences remain within the field,making it necessary to distinguish and analyze both its diachronic evolution and synchronic configuration.展开更多
Since its discovery in the 1980s,the insect cell-baculovirus expression vector system(IC-BEVS)has been widely used in biomedical applications,such as recombinant protein expression,drug screening,vaccine development,g...Since its discovery in the 1980s,the insect cell-baculovirus expression vector system(IC-BEVS)has been widely used in biomedical applications,such as recombinant protein expression,drug screening,vaccine development,gene therapy and so on[1].As a eukaryotic system,IC-BEVS has great development prospects due to its advantages such as high safety,simple operation,simultaneous expression of multi-subunit proteins,and suitability for large-scale cultivation[2].展开更多
As a member of the Cancer-Testis Antigens,the Melanoma-associated antigen(MAGE)family is typically expressed in normal tissues such as the testis.However,in various types of tumor cells,their expression is abnormally ...As a member of the Cancer-Testis Antigens,the Melanoma-associated antigen(MAGE)family is typically expressed in normal tissues such as the testis.However,in various types of tumor cells,their expression is abnormally activated,which is associated with multiple critical processes of tumor cells,including proliferation,apoptosis,immune evasion,DNA damage repair,and metastasis.The abnormal expression of MAGE family genes in multiple cancers and their multifaceted roles in tumor biology have made them an important target in cancer research and treatment.This review comprehensively explores various aspects of the relationship between the MAGE family and cancer,including the molecular characteristics of its members,transcriptional regulation mechanisms,expression patterns in different cancers,phenotypes and oncogenic mechanisms,poor clinical prognosis and potential as targets for immunotherapy.The expression patterns of these genes are closely linked to the clinical features of tumors,providing molecular markers and potential therapeutic targets for the early diagnosis,treatment,and prognostic assessment of cancer.展开更多
In the task of Facial Expression Recognition(FER),data uncertainty has been a critical factor affecting performance,typically arising from the ambiguity of facial expressions,low-quality images,and the subjectivity of...In the task of Facial Expression Recognition(FER),data uncertainty has been a critical factor affecting performance,typically arising from the ambiguity of facial expressions,low-quality images,and the subjectivity of annotators.Tracking the training history reveals that misclassified samples often exhibit high confidence and excessive uncertainty in the early stages of training.To address this issue,we propose an uncertainty-based robust sample selection strategy,which combines confidence error with RandAugment to improve image diversity,effectively reducing overfitting caused by uncertain samples during deep learning model training.To validate the effectiveness of the proposed method,extensive experiments were conducted on FER public benchmarks.The accuracy obtained were 89.08%on RAF-DB,63.12%on AffectNet,and 88.73%on FERPlus.展开更多
Artificial intelligence,such as deep learning technology,has advanced the study of facial expression recognition since facial expression carries rich emotional information and is significant for many naturalistic situ...Artificial intelligence,such as deep learning technology,has advanced the study of facial expression recognition since facial expression carries rich emotional information and is significant for many naturalistic situations.To pursue a high facial expression recognition accuracy,the network model of deep learning is generally designed to be very deep while the model’s real-time performance is typically constrained and limited.With MobileNetV3,a lightweight model with a good accuracy,a further study is conducted by adding a basic ResNet module to each of its existing modules and an SSH(Single Stage Headless Face Detector)context module to expand the model’s perceptual field.In this article,the enhanced model named Res-MobileNetV3,could alleviate the subpar of real-time performance and compress the size of large network models,which can process information at a rate of up to 33 frames per second.Although the improved model has been verified to be slightly inferior to the current state-of-the-art method in aspect of accuracy rate on the publically available face expression datasets,it can bring a good balance on accuracy,real-time performance,model size and model complexity in practical applications.展开更多
BACKGROUND ANAPC1,a key regulator of the ubiquitination in tumour development,has not been thoroughly studied in hepatocellular carcinoma(HCC).AIM To elucidate the expression of ANAPC1 in HCC and its potential regulat...BACKGROUND ANAPC1,a key regulator of the ubiquitination in tumour development,has not been thoroughly studied in hepatocellular carcinoma(HCC).AIM To elucidate the expression of ANAPC1 in HCC and its potential regulatory mechanism related to ubiquitination.METHODS Bulk RNA(RNA sequencing and microarrays),immunohistochemistry(IHC)tissues,and single-cell RNA sequencing(scRNA-seq)data were integrated to comprehensively investigate ANAPC1 expression in HCC.Clustered regularly interspaced short palindromic repeats analysis was performed to assess growth in HCC cell lines following ANAPC1 knockout.Enrichment analyses were conducted to explore the functions of ANAPC1.ScRNA-seq data was used to examine the cell cycle and metabolic levels.CellChat analysis was applied to investigate the interactions between ANAPC1 and different cell types.The relationship between ANAPC1 expression and drug concentration was analyzed.RESULTS ANAPC1 messenger RNA was found to be upregulated in bulk RNA,IHC tissues samples and malignant hepatocytes.The proliferation of JHH2 cell lines was most significantly inhibited after ANAPC1 knockdown.In biological pathways,the development of HCC was found to be linked to the regulation of ubiquitin-mediated proteolysis.Additionally,scRNA-seq results indicated that highly expressed ANAPC1 was in the G2/M phase,with increased glycolysis/gluconeogenesis activity.A CellChat analysis showed that ANAPC1 was associated with the regulation of the migration inhibitory factor-(cluster of differentiation 74+C-X-C chemokine receptor type 4)pathway.Higher ANAPC1 expression correlated with stronger effects of sorafenib,dasatinib,ibrutinib,lapatinib,nilotinib and afatinib.CONCLUSION The high expression level of ANAPC1 may regulate the cell cycle and metabolic levels of HCC through the ubiquitination-related pathway,thereby promoting disease progression.展开更多
基金supported by the National Natural Science Foundation of China(Nos.U19A2044,42105132,42030609,41975037,and 42105133)the National Key Research and Development Program of China(No.2022YFC3703502)+1 种基金the Plan for Anhui Major Provincial Science&Technology Project(No.202203a07020003)Hefei Ecological Environment Bureau Project(No.2020BFFFD01804).
文摘As a significant city in the Yangtze River Delta regions,Hefei has experienced rapid changes in the sources of air pollution due to its high-speed economic development and urban expansion.However,there has been limited research in recent years on the spatial-temporal distribution and emission of its atmospheric pollutants.To address this,this study conducted mobile observations of urban roads using the Mobile-DOAS instrument from June 2021 to May 2022.The monitoring results exhibit a favourable consistent with TROPOMI satellite data and ground monitoring station data.Temporally,there were pronounced seasonal variations in air pollutants.Spatially,high concentration of HCHO and NO_(2)were closely associated with traffic congestion on roadways,while heightened SO_(2)levels were attributed to winter heating and industrial emissions.The study also revealed that with the implementation of road policies,the average vehicle speed increased by 95.4%,while the NO concentration decreased by 54.4%.In the estimation of urban NO_(x)emission flux,it was observed that in temporal terms,compared with inventory data,the emissions calculated viamobile measurements exhibitedmore distinct seasonal patterns,with the highest emission rate of 349 g/sec in winter and the lowest of 142 g/sec in summer.In spatial terms,the significant difference in emissions between the inner and outer ring roads also suggests the presence of the city’s primary NO_(x)emission sources in the area between these two rings.This study offers data support for formulating the next phase of air pollution control measures in urban areas.
基金supported by the Central Public-Interest Scientific Institution Basal Research Fund,China(Grant No.CPSIBRF-CNRRI-202403)。
文摘Rice is a poor source of folate,an essential micronutrient for the body.Biofortification offers an effective way to enhance the folate content of rice and alleviate folate deficiencies in humans.In this study,we confirmed that OsADCS and OsGTPCHI,encoding the initial enzymes necessary for folate synthesis,positively regulate folate accumulation in knockout mutants of both japonica and indica rice backgrounds.The folate content in the low-folate japonica variety was slightly increased by the expression of the indica alleles driven by the endosperm-specific promoter.We further obtained co-expression lines by stacking OsADCS and OsGTPCHI genes;the folate accumulation in brown rice and polished rice reached 5.65μg/g and 2.95μg/g,respectively,representing 37.9-fold and 26.5-fold increases compared with the wild type.Transcriptomic analysis of rice grains from six transgenic lines showed that folate changes affected biological pathways involved in the synthesis and metabolism of rice seed storage substances,while the expression of other folate synthesis genes was weakly regulated.In addition,we identified Aus rice as a high-folate germplasm carrying superior haplotypes of OsADCS and OsGTPCHI through natural variation.This study provides an alternative and effective complementary strategy for rice biofortification,promoting the rational combination of metabolic engineering and conventional breeding to breed high-folate varieties.
文摘Objective INF2 is a member of the formins family.Abnormal expression and regulation of INF2 have been associated with the progression of various tumors,but the expression and role of INF2 in hepatocellular carcinoma(HCC)remain unclear.HCC is a highly lethal malignant tumor.Given the limitations of traditional treatments,this study explored the expression level,clinical value and potential mechanism of INF2 in HCC in order to seek new therapeutic targets.Methods In this study,we used public databases to analyze the expression of INF2 in pan-cancer and HCC,as well as the impact of INF2 expression levels on HCC prognosis.Quantitative real time polymerase chain reaction(RT-qPCR),Western blot,and immunohistochemistry were used to detect the expression level of INF2 in liver cancer cells and human HCC tissues.The correlation between INF2 expression and clinical pathological features was analyzed using public databases and clinical data of human HCC samples.Subsequently,the effects of INF2 expression on the biological function and Drp1 phosphorylation of liver cancer cells were elucidated through in vitro and in vivo experiments.Finally,the predictive value and potential mechanism of INF2 in HCC were further analyzed through database and immunohistochemical experiments.Results INF2 is aberrantly high expression in HCC samples and the high expression of INF2 is correlated with overall survival,liver cirrhosis and pathological differentiation of HCC patients.The expression level of INF2 has certain diagnostic value in predicting the prognosis and pathological differentiation of HCC.In vivo and in vitro HCC models,upregulated expression of INF2 triggers the proliferation and migration of the HCC cell,while knockdown of INF2 could counteract this effect.INF2 in liver cancer cells may affect mitochondrial division by inducing Drp1 phosphorylation and mediate immune escape by up-regulating PD-L1 expression,thus promoting tumor progression.Conclusion INF2 is highly expressed in HCC and is associated with poor prognosis.High expression of INF2 may promote HCC progression by inducing Drp1 phosphorylation and up-regulation of PD-L1 expression,and targeting INF2 may be beneficial for HCC patients with high expression of INF2.
基金湖南省教育厅基金优秀青年项目(No.22B0482)湖南科技大学博士启动基金(No.E51992 and E51993)资助。
文摘The xylitol dehydrogenase(XDH)is a crucial enzyme involved in the xylose utilization in pentose⁃catabolizing yeasts and fungi.In addition to producing xylulose,XDH can also be employed to develop a biosensor for monitoring xylitol concentration.In this study,the gene encoding the thermophilic fungus Talaromyces emersonii XDH(TeXDH)was heterologously expressed in Escherichia coli BL21(DE3)at 16℃in the soluble form.Recombinant TeXDH with high purity was purified by using a Ni⁃NTA affinity column.Size⁃exclusion chromatography and SDS⁃PAGE analysis demonstrated that the puri⁃fied recombinant TeXDH exists as a native trimer with a molecular mass of approximately 116 kD,and is composed of three identical subunits,each with a molecular weight of around 39 kD.The TeXDH strictly preferred NAD^(+)as a coenzyme to NADP^(+).The optimal temperature and pH of the TeXDH were 40℃and 10.0,respectively.After EDTA treatment,the enzyme activity of TeXDH decreased to 43.26%of the initial enzyme activity,while the divalent metal ions Mg^(2+)or Ca^(2+)could recover the enzyme activity of TeXDH,reaching 103.32%and 110.69%of the initial enzyme activity,respectively,making them the optimal divalent metal ion cofactors for TeXDH enzyme.However,the divalent metal ions of Mn^(2+),Ni^(2+),Cu^(2+),Zn^(2+),Co^(2+),and Cd^(2+)significantly inhibited the activity of TeXDH.ICP⁃MS and molecular doc⁃king studies revealed that 1 mol/L of TeXDH bound 2 mol/L Zn^(2+)ions and 1 mol/L Mg^(2+)ion.Further⁃more,TeXDH exhibited a high specificity for xylitol,laying the foundation for the development of future xylitol biosensors.
文摘DNA microarray technology is an extremely effective technique for studying gene expression patterns in cells, and the main challenge currently faced by this technology is how to analyze the large amount of gene expression data generated. To address this, this paper employs a mixed-effects model to analyze gene expression data. In terms of data selection, 1176 genes from the white mouse gene expression dataset under two experimental conditions were chosen, setting up two conditions: pneumococcal infection and no infection, and constructing a mixed-effects model. After preprocessing the gene chip information, the data were imported into the model, preliminary results were calculated, and permutation tests were performed to biologically validate the preliminary results using GSEA. The final dataset consists of 20 groups of gene expression data from pneumococcal infection, which categorizes functionally related genes based on the similarity of their expression profiles, facilitating the study of genes with unknown functions.
基金supported by the National Natural Science Foundation of China,Nos.32371065(to CL)and 32170950(to LY)the Natural Science Foundation of the Guangdong Province,No.2023A1515010899(to CL)the Science and Technology Projects in Guangzhou,Nos.2023A4J0578 and 2024A03J0180(to CW)。
文摘Neuronal activity,synaptic transmission,and molecular changes in the basolateral amygdala play critical roles in fear memory.Cylindromatosis(CYLD)is a deubiquitinase that negatively regulates the nuclear factor kappa-B pathway.CYLD is well studied in non-neuronal cells,yet underinvestigated in the brain,where it is highly expressed.Emerging studies have shown involvement of CYLD in the remodeling of glutamatergic synapses,neuroinflammation,fear memory,and anxiety-and autism-like behaviors.However,the precise role of CYLD in glutamatergic neurons is largely unknown.Here,we first proposed involvement of CYLD in cued fear expression.We next constructed transgenic model mice with specific deletion of Cyld from glutamatergic neurons.Our results show that glutamatergic CYLD deficiency exaggerated the expression of cued fear in only male mice.Further,loss of CYLD in glutamatergic neurons resulted in enhanced neuronal activation,impaired excitatory synaptic transmission,and altered levels of glutamate receptors accompanied by over-activation of microglia in the basolateral amygdala of male mice.Altogether,our study suggests a critical role of glutamatergic CYLD in maintaining normal neuronal,synaptic,and microglial activation.This may contribute,at least in part,to cued fear expression.
基金supported by the National Office for Philosophy and Social Sciences(grant reference 22&ZD067).
文摘In the current situation of decelerating economic expansion,examining the digital economy(DE)as a novel economic model is beneficial for the local economy’s sustainable and high-quality development(HQD).We analyzed panel data from the Yellow River(YR)region from 2013 to 2021 and discovered notable spatial variances in the composite index and coupling coordination of the two systems.Specifically,the downstream region exhibited the highest coupling coordination,while the upstream region had the lowest.We identified that favorable factors such as economic development,innovation,industrial upgrading,and government intervention can bolster the coupling.Our findings provide a valuable framework for promoting DE and HQD in the YR region.
基金supported by the National Natural Science Foundation of China(Grant Nos.62472149,62376089,62202147)Hubei Provincial Science and Technology Plan Project(2023BCB04100).
文摘Accurate traffic flow prediction has a profound impact on modern traffic management. Traffic flow has complex spatial-temporal correlations and periodicity, which poses difficulties for precise prediction. To address this problem, a Multi-head Self-attention and Spatial-Temporal Graph Convolutional Network (MSSTGCN) for multiscale traffic flow prediction is proposed. Firstly, to capture the hidden traffic periodicity of traffic flow, traffic flow is divided into three kinds of periods, including hourly, daily, and weekly data. Secondly, a graph attention residual layer is constructed to learn the global spatial features across regions. Local spatial-temporal dependence is captured by using a T-GCN module. Thirdly, a transformer layer is introduced to learn the long-term dependence in time. A position embedding mechanism is introduced to label position information for all traffic sequences. Thus, this multi-head self-attention mechanism can recognize the sequence order and allocate weights for different time nodes. Experimental results on four real-world datasets show that the MSSTGCN performs better than the baseline methods and can be successfully adapted to traffic prediction tasks.
基金supported by the Beijing Natural Science Foundation(Certificate Number:L234025).
文摘Spatial-temporal traffic prediction technology is crucial for network planning,resource allocation optimizing,and user experience improving.With the development of virtual network operators,multi-operator collaborations,and edge computing,spatial-temporal traffic data has taken on a distributed nature.Consequently,noncentralized spatial-temporal traffic prediction solutions have emerged as a recent research focus.Currently,the majority of research typically adopts federated learning methods to train traffic prediction models distributed on each base station.This method reduces additional burden on communication systems.However,this method has a drawback:it cannot handle irregular traffic data.Due to unstable wireless network environments,device failures,insufficient storage resources,etc.,data missing inevitably occurs during the process of collecting traffic data.This results in the irregular nature of distributed traffic data.Yet,commonly used traffic prediction models such as Recurrent Neural Networks(RNN)and Long Short-Term Memory(LSTM)typically assume that the data is complete and regular.To address the challenge of handling irregular traffic data,this paper transforms irregular traffic prediction into problems of estimating latent variables and generating future traffic.To solve the aforementioned problems,this paper introduces split learning to design a structured distributed learning framework.The framework comprises a Global-level Spatial structure mining Model(GSM)and several Nodelevel Generative Models(NGMs).NGM and GSM represent Seq2Seq models deployed on the base station and graph neural network models deployed on the cloud or central controller.Firstly,the time embedding layer in NGM establishes the mapping relationship between irregular traffic data and regular latent temporal feature variables.Secondly,GSM collects statistical feature parameters of latent temporal feature variables from various nodes and executes graph embedding for spatial-temporal traffic data.Finally,NGM generates future traffic based on latent temporal and spatial feature variables.The introduction of the time attention mechanism enhances the framework’s capability to handle irregular traffic data.Graph attention network introduces spatially correlated base station traffic feature information into local traffic prediction,which compensates for missing information in local irregular traffic data.The proposed framework effectively addresses the distributed prediction issues of irregular traffic data.By testing on real world datasets,the proposed framework improves traffic prediction accuracy by 35%compared to other commonly used distributed traffic prediction methods.
基金The Science and Technology Plan of Dalian under contract Nos 2023RO058 and 2022RQ060the Liaoning Province Natural Science Planning Fund Project under contract No. 2022-BS-273+1 种基金the Liaoning Provincial Department of Education Basic Research Project under contract No. LJKQZ20222357the Discipline Construction Funding for Marine Science Subject of Dalian Ocean University。
文摘Mandarin fish(Siniperca scherzeri) has high market prices and significant market potential in China because of its highquality meat and high nutritional value. However, due to the limited scale of aquaculture, meeting the market demand is difficult, making the effective development of the aquaculture potential of mandarin fish an important challenge for the industry. In this study, a 30-d breeding experiment was conducted on mandarin fish larvae under three photoperiod conditions: G1 8 h light:16 h dark(8L:16D), G2 12 h light:12 h dark(12L:12D), and G3 16 h light:8 h dark(16L:8D). The results showed that the G2 group exhibited the best growth performance and development status, with final body weights, weight gain rates, and specific growth rates all higher than those of the other two groups(P < 0.05). Observations of sections from each group revealed that the intestinal villi length and muscle thickness of the G2 group were significantly greater than those of the other two groups(P < 0.05). The G2 group inhibited the transcriptional activation of key circadian rhythm genes, including nr1d2a, nr1d1 and per1, while upregulating the expression of BMAL1 in S. scherzeri.The activation of both the insulin signalling pathway and the Fox O signalling pathway enhanced the efficient secretion of insulin, which subsequently played a critical role in regulating fatty acid metabolism. This active fatty acid metabolism provided an optimal energy supply, ensuring that other nutrients were fully utilized during the growth and development process while minimizing unnecessary nutrient loss. Consequently, this mechanism effectively promoted the overall growth and development of S. scherzeri. This study was the first to elucidate the transcriptomic expression patterns of S. scherzeri under varying photoperiod conditions. In response to the cyclic alternation of day and night, S. scherzeri regulated their metabolic levels and the transcriptional activation of downstream target genes via insulin signalling.
基金Supported by College Student Innovation and Entrepreneurship Training Program(S202210553003)Hunan Provincial Education Department Outstanding Youth Research Project(23B0820).
文摘Kinesins are a superfamily of proteins widely present in eukaryotes,playing crucial roles in plant cell wall assembly,cell elongation regulation,gravity sensing,and fertility control.In this study,bioinformatics analysis of the OsKMP2 gene(LOC_Os02g28850)was performed using online tools such as ExPASy-ProtParam,ProtScale,CD-search,and DNAMAN software.Additionally,qRT-PCR was employed to analyze the tissue expression pattern of OsKMP2.The results showed that the molecular weight of the OsKMP2 is 118.39728 kDa,and it is a hydrophilic and unstable acidic protein.Secondary structure prediction revealed that it primarily consists ofα-helices(69.45%),random coils(25.19%),and extended strands(5.36%).The gene was expressed in various rice tissues,with the highest expression level observed in leaves.These results indicate that the OsKMP2 gene exhibits high evolutionary conservation and functional diversity in rice.
基金supported by the National Natural Science Foundation of China(32072159)Natural Science Foundation of Hainan Province(322QN338)+4 种基金Young Talent of Lifting Engineering for Science and Technology in Shandong,China(SDAST2021qt18)Qingdao Science and Technology Plan Key Research and Development Project(22-3-3-hygg-28-hy)Fundamental Research Funds for the Central Universities(202262003)Taishan Scholar Project of Shandong Province(tsqn202312099)Support Program for Youth Innovation Technology in Colleges and Universities of Shandong Province(2023KJ041)。
文摘Laminarin oligosaccharides(LOSs)with a specific degree of polymerization prepared through the laminarin degradation via laminarinase present more significant nutritional functions and application values.Human intestinal bacteria are promising potential producers of novel carbohydrate-active enzymes with unique properties.Here,a novel glycoside hydrolase family 128(GH128)laminarinase OUC-BsLam26 from the intestinal bacterium Bacteroides sp.CBA7301 was heterologously expressed and characterized.The recombinant OUC-BsLam26 with a molecular mass of 49.86 kDa exhibits highest activity(6.60 U/mg)at 45℃ and pH 6.0,which shows noticeable temperature and pH stability.The purified OUC-BsLam26 could degrade laminarin via an endo-type mode with the generation of laminaripentaose,laminaritetraose,laminaritriose,and laminaribiose,among them,laminaritetraose is the principal product,which accounts for 45.25% of the total products,which is significantly different from the reported GH128 laminarinases.The minimum recognition substrate of OUC-BsLam26 is laminarihexaose.Furthermore,OUC-BsLam26 also could catalyze the transglycosylation process with the production of some novel glycosides.Altogether,the intestinal bacterium Bacteroides sp.CBA7301 contains laminarinase with unique product composition and OUC-BsLam26 is a hopeful bio-catalyst with the potential to produce laminaritetraose and some novel glycosides.
基金Supported by National Natural Science Foundation of China(71774049).
文摘Nursing students often exhibit emotional suppression,avoidance,or over-expression when confronted with high-pressure work environments and emotional challenges.These disorders affect nursing students mental health,professional adaptation,and quality of communication with patients.The causes of emotional expression difficulties include individual personality,emotional intelligence,educational background,and socio-cultural pressures.To address this issue,it is recommended to enhance nursing students emotional expression and regulation capabilities through psychological interventions,emotional intelligence training,and optimization of educational systems,thereby improving their mental health and career development,ultimately enhancing nursing service quality and doctor-patient relationships.
文摘In Japan,manga expression theory has developed over more than half a century into a major subfield within Japanese manga studies and has been widely applied in the practice of manga criticism.As a methodological approach to manga research,it has been deeply influenced by semiotics,rejecting text-centered or narrative-centered paradigms in favor of examining manga’s intrinsic principles and inherent structures.Originating from the theoretical groundwork laid by JunzōIshiko(石子順造),further refined by scholars such as Fusanosuke Natsume(夏目房之介)and Osamu Takeuchi(竹内オサム),and later expanded and reinterpreted by GōItō(伊藤剛)and Tomoyo Iwashita(岩下朋世),manga expression theory has developed into a rich and diverse intellectual landscape.However,significant internal divergences remain within the field,making it necessary to distinguish and analyze both its diachronic evolution and synchronic configuration.
文摘Since its discovery in the 1980s,the insect cell-baculovirus expression vector system(IC-BEVS)has been widely used in biomedical applications,such as recombinant protein expression,drug screening,vaccine development,gene therapy and so on[1].As a eukaryotic system,IC-BEVS has great development prospects due to its advantages such as high safety,simple operation,simultaneous expression of multi-subunit proteins,and suitability for large-scale cultivation[2].
基金supported by Startup Fund for Young Faculty at SJTU(SFYF at SJTU)(No.24X010500176).
文摘As a member of the Cancer-Testis Antigens,the Melanoma-associated antigen(MAGE)family is typically expressed in normal tissues such as the testis.However,in various types of tumor cells,their expression is abnormally activated,which is associated with multiple critical processes of tumor cells,including proliferation,apoptosis,immune evasion,DNA damage repair,and metastasis.The abnormal expression of MAGE family genes in multiple cancers and their multifaceted roles in tumor biology have made them an important target in cancer research and treatment.This review comprehensively explores various aspects of the relationship between the MAGE family and cancer,including the molecular characteristics of its members,transcriptional regulation mechanisms,expression patterns in different cancers,phenotypes and oncogenic mechanisms,poor clinical prognosis and potential as targets for immunotherapy.The expression patterns of these genes are closely linked to the clinical features of tumors,providing molecular markers and potential therapeutic targets for the early diagnosis,treatment,and prognostic assessment of cancer.
文摘In the task of Facial Expression Recognition(FER),data uncertainty has been a critical factor affecting performance,typically arising from the ambiguity of facial expressions,low-quality images,and the subjectivity of annotators.Tracking the training history reveals that misclassified samples often exhibit high confidence and excessive uncertainty in the early stages of training.To address this issue,we propose an uncertainty-based robust sample selection strategy,which combines confidence error with RandAugment to improve image diversity,effectively reducing overfitting caused by uncertain samples during deep learning model training.To validate the effectiveness of the proposed method,extensive experiments were conducted on FER public benchmarks.The accuracy obtained were 89.08%on RAF-DB,63.12%on AffectNet,and 88.73%on FERPlus.
基金supported by China Academy of Railway Sciences Corporation Limited(No.2021YJ127).
文摘Artificial intelligence,such as deep learning technology,has advanced the study of facial expression recognition since facial expression carries rich emotional information and is significant for many naturalistic situations.To pursue a high facial expression recognition accuracy,the network model of deep learning is generally designed to be very deep while the model’s real-time performance is typically constrained and limited.With MobileNetV3,a lightweight model with a good accuracy,a further study is conducted by adding a basic ResNet module to each of its existing modules and an SSH(Single Stage Headless Face Detector)context module to expand the model’s perceptual field.In this article,the enhanced model named Res-MobileNetV3,could alleviate the subpar of real-time performance and compress the size of large network models,which can process information at a rate of up to 33 frames per second.Although the improved model has been verified to be slightly inferior to the current state-of-the-art method in aspect of accuracy rate on the publically available face expression datasets,it can bring a good balance on accuracy,real-time performance,model size and model complexity in practical applications.
基金Co-first authors:Yu-Xing Tang 0000-0003-4382-4942Co-first authors:Wei-Zi Wu+8 种基金Corresponding author:Gang Chen,MD,Professor,Department of Pathology,The First Affiliated Hospital of Guangxi Medical University,No.6 Shuangyong Road,Nanning 530021,Guangxi Zhuang Autonomous Region,China.chengang@gxmu.edu.cn,0000-0003-2402-2987Co-corresponding authors:Yan-Ting ZhanSheng-Sheng Zhou,0000-0003-2414-460XDa-Tong Zeng,0000-0002-3338-4122Guang-Cai Zheng,0009-0001-5921-6688Rong-Quan He,0000-0002-7752-2080Di-Yuan Qin,0009-0003-3214-4762Wan-Ying Huang,0000-0002-8314-5963Yu-Lu Tang,0009-0004-0462-618X。
文摘BACKGROUND ANAPC1,a key regulator of the ubiquitination in tumour development,has not been thoroughly studied in hepatocellular carcinoma(HCC).AIM To elucidate the expression of ANAPC1 in HCC and its potential regulatory mechanism related to ubiquitination.METHODS Bulk RNA(RNA sequencing and microarrays),immunohistochemistry(IHC)tissues,and single-cell RNA sequencing(scRNA-seq)data were integrated to comprehensively investigate ANAPC1 expression in HCC.Clustered regularly interspaced short palindromic repeats analysis was performed to assess growth in HCC cell lines following ANAPC1 knockout.Enrichment analyses were conducted to explore the functions of ANAPC1.ScRNA-seq data was used to examine the cell cycle and metabolic levels.CellChat analysis was applied to investigate the interactions between ANAPC1 and different cell types.The relationship between ANAPC1 expression and drug concentration was analyzed.RESULTS ANAPC1 messenger RNA was found to be upregulated in bulk RNA,IHC tissues samples and malignant hepatocytes.The proliferation of JHH2 cell lines was most significantly inhibited after ANAPC1 knockdown.In biological pathways,the development of HCC was found to be linked to the regulation of ubiquitin-mediated proteolysis.Additionally,scRNA-seq results indicated that highly expressed ANAPC1 was in the G2/M phase,with increased glycolysis/gluconeogenesis activity.A CellChat analysis showed that ANAPC1 was associated with the regulation of the migration inhibitory factor-(cluster of differentiation 74+C-X-C chemokine receptor type 4)pathway.Higher ANAPC1 expression correlated with stronger effects of sorafenib,dasatinib,ibrutinib,lapatinib,nilotinib and afatinib.CONCLUSION The high expression level of ANAPC1 may regulate the cell cycle and metabolic levels of HCC through the ubiquitination-related pathway,thereby promoting disease progression.
