China’s unconventional gas fields have a large number of low-productivity and low-efficiency wells, many of whichare located in remote and environmentally harsh mountainous areas. To address the long-term stable prod...China’s unconventional gas fields have a large number of low-productivity and low-efficiency wells, many of whichare located in remote and environmentally harsh mountainous areas. To address the long-term stable productionof these gas wells, plunger-lift technology plays an important role. In order to fully understand and accurately graspthe drainage and gas production mechanisms of plunger-lift, a mechanical model of plunger-liquid column uplift inthe plunger-lift process was established, focusing on conventional plunger-lift systems and representative wellboreconfigurations in the Linxing region. The operating casing pressure of the plunger-lift process and the calculationmethod for the maximum daily fluid production rate based on the work regime with the highest fluid recovery ratewere determined. For the first time, the critical flow rate method was proposed as a constraint for the maximumliquid-carrying capacity of the plunger-lift, and liquid-carrying capacity charts for conventional plunger-lift withdifferent casing sizes were developed. The results showed that for 23/8 casing plunger-lift, with a well depth ofshallower than 808 m, the maximum drainage rate was 33 m3/d;for 27/8 casing plunger-lift, with a well depth ofshallower than 742 m, the maximum drainage rate was 50.15 m3/d;for 31/2 casing plunger-lift, with a well depthof shallower than 560 m, the maximum drainage rate was 75.14 m3/d. This research provides a foundation for thescientific selection of plunger-lift technology and serves as a decision-making reference for developing reasonableplunger-lift work regimes.展开更多
Object identification and three-dimensional reconstruction techniques are always attractive research interests in machine vision,virtual reality,augmented reality,and biomedical engineering.Optical computing metasurfa...Object identification and three-dimensional reconstruction techniques are always attractive research interests in machine vision,virtual reality,augmented reality,and biomedical engineering.Optical computing metasurface,as a two-dimensional artificial design component,has displayed the supernormal character of controlling phase,amplitude,polarization,and frequency distributions of the light beam,capable of performing mathematical operations on the input light field.Here,we propose and demonstrate an all-optical object identification technique based on optical computing metasurface,and apply it to 3D reconstruction.Unlike traditional mechanisms,this scheme reduces memory consumption in the processing of the contour surface extraction.The identification and reconstruction of experimental results from high-contrast and low-contrast objects agree well with the real objects.The exploration of the all-optical object identification and 3D reconstruction techniques provides potential applications of high efficiencies,low consumption,and compact systems.展开更多
N6-methyladenosine methylation(m6A)is a common type of epigenetic alteration that prominently affects the prognosis of tumor patients.However,it is unknown how the m6A regulator affects the tumor microenvironment(TME)...N6-methyladenosine methylation(m6A)is a common type of epigenetic alteration that prominently affects the prognosis of tumor patients.However,it is unknown how the m6A regulator affects the tumor microenvironment(TME)cell infiltration in adrenocortical carcinoma(ACC)and how it affects the prognosis of ACC patients yet.The m6A alteration patterns of 112 ACC patients were evaluated,furthermore,the association with immune infiltration cell features was investigated.The unsupervised clustering method was applied to typify the m6A alteration patterns of ACC patients.The principal component analysis(PCA)technique was taken to create the m6A score to assess the alteration pattern in specific malignancies.We found two independent patterns of m6A alteration in ACC patients.The TME cell infiltration features were significantly in accordance with phenotypes of tumor immune-inflamed and immune desert in both patterns.The m6Ascore also served as an independent predictive factor in ACC patients.The somatic copy number variation(CNV)and patients prognosis can be predicted by m6A alteration patterns.Moreover,the ACC patients with high m6A scores had better overall survival(OS)and higher efficiency in immune checkpoint blockade therapy.Our work demonstrated the significance of m6A alteration to the ACC patients immunotherapy.The individual m6A alteration patterns analysis might contribute to ACC patients prognosis prediction and immunotherapy choice.展开更多
Metal cutting fluids(MCFs)under flood conditions do not meet the urgent needs of reducing carbon emission.Biolubricant-based minimum quantity lubrication(MQL)is an effective alternative to flood lubrication.However,pn...Metal cutting fluids(MCFs)under flood conditions do not meet the urgent needs of reducing carbon emission.Biolubricant-based minimum quantity lubrication(MQL)is an effective alternative to flood lubrication.However,pneumatic atomization MQL has poor atomization properties,which is detrimental to occupational health.Therefore,electrostatic atomization MQL requires preliminary exploratory studies.However,systematic reviews are lacking in terms of capturing the current research status and development direction of this technology.This study aims to provide a comprehensive review and critical assessment of the existing understanding of electrostatic atomization MQL.This research can be used by scientists to gain insights into the action mechanism,theoretical basis,machining performance,and development direction of this technology.First,the critical equipment,eco-friendly atomization media(biolubricants),and empowering mechanisms of electrostatic atomization MQL are presented.Second,the advanced lubrication and heat transfer mechanisms of biolubricants are revealed by quantitatively comparing MQL with MCF-based wet machining.Third,the distinctive wetting and infiltration mechanisms of electrostatic atomization MQL,combined with its unique empowering mechanism and atomization method,are compared with those of pneumatic atomization MQL.Previous experiments have shown that electrostatic atomization MQL can reduce tool wear by 42.4%in metal cutting and improve the machined surface Ra by 47%compared with pneumatic atomization MQL.Finally,future development directions,including the improvement of the coordination parameters and equipment integration aspects,are proposed.展开更多
In the field of plant protection,certain methods for assessing the current pest situation and implementing appropriate protection countermeasures can effectively protect plants while saving manpower and material resou...In the field of plant protection,certain methods for assessing the current pest situation and implementing appropriate protection countermeasures can effectively protect plants while saving manpower and material resources.However,current pest monitoring methods are primarily based on the stage of"seeing,hand checking,disc shooting and net catching",and the level of automation is low.Manual methods are time-consuming,prone to error,and difficult to review.We designed a method based on infrared thermography principle for counting Ricania guttata(Walker),a pest which is harmful to mangrove plants.This method,which is based on thermal infrared images and binarized image segmentation,realizes image processing of surface temperature,effectively distinguishes pests and sticky board,automatically counts the number of pests,and expands the data source based on image processing.Furthermore,this method contributes to the solution of the problem that counting error of insect close to the color of sticky board is greater in image recognition of visible light,when the pest color is close to the stick board.It can facilitate manual investigation of mangrove pests,simply and efficiently count the number of pests on the stick board,and provide data and technical support for pest condition analysis and control.展开更多
Too high grinding force will lead to a large increase in specific grinding energy, resulting in high temperature in grinding zone, especially for the aerospace difficult cutting metal materials,seriously affecting the...Too high grinding force will lead to a large increase in specific grinding energy, resulting in high temperature in grinding zone, especially for the aerospace difficult cutting metal materials,seriously affecting the surface quality and accuracy. At present, the theoretical models of grinding force are mostly based on the assumption of uniform or simplified morphological characteristics of grains, which is inconsistent with the actual grains. Especially for non-engineering grinding wheel,most geometric characteristics of grains are ignored, resulting in the calculation accuracy that cannot guide practical production. Based on this, an improved grinding force model based on random grain geometric characteristics is proposed in this paper. Firstly, the surface topography model of CBN grinding wheel is established, and the effective grain determination mechanism in grinding zone is revealed. Based on the known grinding force model and mechanical behavior of interaction between grains and workpiece in different stages, the concept of grain effective action area is proposed. The variation mechanism of effective action area under the influence of grain geometric and spatial characteristics is deeply analyzed, and the calculation method under random combination of five influencing parameters is obtained. The numerical simulation is carried out to reveal the dynamic variation process of grinding force in grinding zone. In order to verify the theoretical model, the experiments of dry grinding Ti-6Al-4 V are designed. The experimental results show that under different machining parameters, the results of numerical calculation and experimental measurement are in good agreement, and the minimum error value is only 2.1 %, which indicates that the calculation accuracy of grinding force model meets the requirements and is feasible. This study will provide a theoretical basis for optimizing the wheel structure, effectively controlling the grinding force range, adjusting the grinding zone temperature and improving the workpiece machining quality in the industrial grinding process.展开更多
Nanoparticle-enhanced coolants(NPECs)are increasingly used in minimum quantity lubrication(MQL)machining as a green lubricant to replace conventional cutting fluids to meet the urgent need for carbon emissions and ach...Nanoparticle-enhanced coolants(NPECs)are increasingly used in minimum quantity lubrication(MQL)machining as a green lubricant to replace conventional cutting fluids to meet the urgent need for carbon emissions and achieve sustainable manufacturing.However,the thermophysical properties of NPEC during processing remain unclear,making it difficult to provide precise guidance and selection principles for industrial applications.Therefore,this paper reviews the action mechanism,processing properties,and future development directions of NPEC.First,the laws of influence of nano-enhanced phases and base fluids on the processing performance are revealed,and the dispersion stabilization mechanism of NPEC in the preparation process is elaborated.Then,the unique molecular structure and physical properties of NPECs are combined to elucidate their unique mechanisms of heat transfer,penetration,and antifriction effects.Furthermore,the effect of NPECs is investigated on the basis of their excellent lubricating and cooling properties by comprehensively and quantitatively evaluating the material removal characteristics during machining in turning,milling,and grinding applications.Results showed that turning of Ti‒6Al‒4V with multi-walled carbon nanotube NPECs with a volume fraction of 0.2%resulted in a 34%reduction in tool wear,an average decrease in cutting force of 28%,and a 7%decrease in surface roughness Ra,compared with the conventional flood process.Finally,research gaps and future directions for further applications of NPECs in the industry are presented.展开更多
Background:Completely endophytic renal tumors(CERT)pose significant challenges due to their anatomical complexity and loss of visual clues about tumor location.A facile scoring model based on three-dimensional(3D)reco...Background:Completely endophytic renal tumors(CERT)pose significant challenges due to their anatomical complexity and loss of visual clues about tumor location.A facile scoring model based on three-dimensional(3D)reconstructed images will assist in better assessing tumor location and vascular variations.Methods:In this retrospective study,80 patients diagnosed with CERT were included.Forty cases underwent preoperative assessment using 3D reconstructed imaging(3D-Cohort),while the remaining 40 cases were assessed using two-dimensional imaging(2D-Cohort).Vascular variations were evaluated by ascertaining the presence of renal arteries>1,prehilar branching arteries,and arteries anterior to veins.The proposed scoring system,termed RAL,encompassed three critical components:(R)adius(maximal tumor diameter in cm),(A)rtery(occurrence of arterial variations),and(L)ocation relative to the polar line.Comparison of the RAL scoring system was made with established nephrometry scoring systems.Results:A total of 48(60%)patients exhibited at least one vascular variation.In the 2D-Cohort,patients with vascular variations experienced significantly prolonged operation time,increased bleeding volume,and extended warm ischemia time compared with those without vascular variations.Conversely,the presence of vascular vari-ations did not significantly affect operative parameters in the 3D-Cohort.Furthermore,the 2D-Cohort demon-strated a notable decline in both short-and long-term estimated glomerular filtration rate(eGFR)changes com-pared with the 3D-Cohort,a trend consistent across patients with warm ischemia time≥25 min and those with vascular variations.Notably,the 2D-Cohort exhibited a larger margin of normal renal tissue compared with the 3D-Cohort.Elevated RAL scores correlated with larger tumor size,prolonged operation time,extended warm is-chemia time,and substantial postoperative eGFR decrease.The RAL scoring system displayed superior predictive capabilities in assessing postoperative eGFR changes compared with conventional nephrometry scoring systems.Conclusions:Our proposed 3D vascular variation-based nephrometry scoring system offers heightened proficiency in preoperative assessment,precise prediction of surgical complexity,and more accurate evaluation of postoper-ative renal function in CERT patients.展开更多
Background:Tumor-derived exosomes are involved in tumor progression and immune invasion and might func-tion as promising noninvasive approaches for clinical management.However,there are few reports on exosom-based mar...Background:Tumor-derived exosomes are involved in tumor progression and immune invasion and might func-tion as promising noninvasive approaches for clinical management.However,there are few reports on exosom-based markers for predicting the progression and adjuvant therapy response rate among patients with clear cell renal cell carcinoma(ccRCC).Methods:The signatures differentially expressed in exosomes from tumor and normal tissues from ccRCC pa-tients were correspondingly deregulated in ccRCC tissues.We adopted a two-step strategy,including Lasso and bootstrapping,to construct a novel risk stratification system termed the TDERS(Tumor-Derived Exosome-Related Risk Score).During the testing and validation phases,we leveraged multiple external datasets containing over 2000 RCC cases from eight cohorts and one inhouse cohort to evaluate the accuracy of the TDERS.In addition,enrichment analysis,immune infiltration signatures,mutation landscape and therapy sensitivity between the high and low TDERS groups were compared.Finally,the impact of TDERS on the tumor microenvironment(TME)was also analysed in our single-cell datasets.Results:TDERS consisted of 12 mRNAs deregulated in both exosomes and tissues from patients with ccRCC.TDERS achieved satisfactory performance in both prognosis and immune checkpoint inhibitor(ICI)response across all ccRCC cohorts and other pathological types,since the average area under the curve(AUC)to predict 5-year overall survival(OS)was larger than 0.8 across the four cohorts.Patients in the TDERS high group were resistant to ICIs,while mercaptopurine might function as a promising agent for those patients.Patients with a high TDERS were characterized by coagulation and hypoxia,which induced hampered tumor antigen presentation and relative resistance to ICIs.In addition,single cells from 12 advanced samples validated this phenomenon since the interaction between dendritic cells and macrophages was limited.Finally,PLOD2,which is highly expressed in fibro-and epi-tissue,could be a potential therapeutic target for ccRCC patients since inhibiting PLOD2 altered the malignant phenotype of ccRCC in vitro.Conclusion:As a novel,non-invasive,and repeatable monitoring tool,the TDERS could work as a robust risk stratification system for patients with ccRCC and precisely inform treatment decisions about ICI therapy.展开更多
Background:The genomic background affects the occurrence and metastasis of cancers,including clear cell renal cell carcinoma(ccRCC).However,reports focusing on the prognostic mutational signature of Chinese ccRCC are ...Background:The genomic background affects the occurrence and metastasis of cancers,including clear cell renal cell carcinoma(ccRCC).However,reports focusing on the prognostic mutational signature of Chinese ccRCC are lacking.Methods:Overall,929 patients,including a training cohort with Chinese patients(n=201),a testing cohort with Caucasian patients(n=274),and a validation cohort(n=454)were analyzed for the genomic landscape of ccRCC.Then,machine-learning algorithms were used to identify and evaluate the genomic mutational signature(GMS)in ccRCC.Analyses for prognosis,immune microenvironment,association with independent clinicopathological features,and predictive responses for immune checkpoint therapies(ICTs)were performed.Results:The DNA variation data of 929 patients with ccRCC suggested markedly differential genomic mutational frequency of the most frequent genes,such as VHL,PBRM1,BAP1,SETD2,and KDM5C between the Chinese and Caucasian populations.PBRM1 showed significant co-occurrence with VHL and SETD2.We then successfully iden-tified a seven-gene mutational signature(GMS^(Mut))that included mutations in FBN1,SHPRH,CELSR1,COL6A6,DST,ABCA13,and BAP1.The GMS^(Mut)significantly predicted progressive progression(P<0.0001,HR=2.81)and poor prognosis(P<0.0001,HR=3.89)in the Chinese training cohort.Moreover,ccRCC patients with the GMS^(Mut)had poor survival rates in the testing cohort(P=0.020)and poor outcomes were predicted for those treated with ICTs in the validation cohort(P=0.036).Interestingly,a favorable clinical response to ICTs,ele-vated expression of immune checkpoints,and increased abundance of tumor-infiltrated lymphocytes,specifically CD8^(+)T cells,Tregs,and macrophages,were observed in the GMS^(Mut)cluster.Conclusions:This study described the pro-tumorigenic GMS^(Mut)cluster that improved the prognostic accuracy in Chinese patients with ccRCC.Our discovery of the novel independent prognostic signature highlights the relationship between tumor phenotype and genomic mutational characteristics of ccRCC.展开更多
With the advancement of anticancer therapy,there is increasing interest in understanding the tumor microenvi-ronment(TME).Cancer-associated fibroblasts(CAFs)play a pivotal role in the TME and have been the focus of mu...With the advancement of anticancer therapy,there is increasing interest in understanding the tumor microenvi-ronment(TME).Cancer-associated fibroblasts(CAFs)play a pivotal role in the TME and have been the focus of much research in recent years.CAFs play an active role in cancer progression through complex interactions with other cells in the TME,releasing regulatory factors,synthesizing and remodeling the extracellular matrix.How-ever,research on the role of CAFs in renal cell carcinoma(RCC)is still in its nascent stages.Here,we describe the origins and subgroups of CAFs,the roles of CAFs in the development and progression of RCC,the impact of CAFs on RCC prognosis,and the potential of CAFs as treatment targets in RCC.By analyzing CAF subsets,biomarkers,and targeted therapies,we present the significance and contribution of CAFs in RCC research.Furthermore,we highlight the distinct contribution of CAFs in advanced RCC through horizontal comparison with other cancers.This paper provides a comprehensive perspective of recent and foundational studies on the role of CAFs in RCC and other types of cancers and new insights for further study of CAFs in RCC.展开更多
Background:The tumor microenvironment(TME)performs a crucial function in the tumorigenesis and response to immunotherapies of clear cell renal cell carcinoma(ccRCC).However,a lack of recognized pre-clinical TME-based ...Background:The tumor microenvironment(TME)performs a crucial function in the tumorigenesis and response to immunotherapies of clear cell renal cell carcinoma(ccRCC).However,a lack of recognized pre-clinical TME-based risk models poses a great challenge to investigating the risk factors correlated with prognosis and treatment responses for patients with ccRCC.Methods:Stromal and immune contexture were assessed to calculate the TMErisk score of a large sample of patients with ccRCC from public and real-world cohorts using machine-learning algorithms.Next,analyses for prognostic efficacy,correlations with clinicopathological features,functional enrichment,immune cell distribu-tions,DNA variations,immune response,and heterogeneity were performed and validated.Results:Clinical hub genes,including INAFM2,SRPX,DPYSL3,VSIG4,APLNR,FHL5,A2M,SLFN11,ADAMTS4,IFITM1,NOD2,CCR4,HLA-DQB2,and PLAUR,were identified and incorporated to develop the TMErisk signature.Patients in the TME high risk group(category)exhibited a considerably grim prognosis,and the TMErisk model was shown to independently function as a risk indicator for the overall survival(OS)of ccRCC patients.Expression levels of immune checkpoint genes were substantially increased in TME high risk group,while those of the human leukocyte antigen(HLA)family genes were prominently decreased.In addition,tumors in the TME high group showed significantly high infiltration levels of tumor-infiltrated lymphocytes,including M2 macrophages,CD8+T cells,B cells,and CD4+T cells.In heterogeneity analysis,more frequent somatic mutations,including pro-tumorigenic BAP1 and PBRM1,were observed in the TME high group.Importantly,19.3%of patients receiving immunotherapies in the TME high group achieved complete or partial response compared with those with immune tolerance in the TME low group,suggesting that TMErisk prominently differentiates prognosis and responses to immunotherapy for patients with ccRCC.Conclusions:We first established the TMErisk score of ccRCC using machine-learning algorithms based on a large-scale population.The TMErisk score can be utilized as an innovative independent prognosis predictive marker with high sensitivity and accuracy.Our discovery also predicted the efficacy of immunotherapy in ccRCC patients,indicating the intimate link between tumor immune microenvironment and intratumoral heterogeneity.展开更多
A nonlinear model predictive control method based on fuzzy-Sequential Quadratic Programming(SQP)for direct thrust control is proposed in this paper for the sake of improving the accuracy of thrust control.The designed...A nonlinear model predictive control method based on fuzzy-Sequential Quadratic Programming(SQP)for direct thrust control is proposed in this paper for the sake of improving the accuracy of thrust control.The designed control system includes four parts,namely a predictive model,rolling optimization,online correction,and feedback correction.Considering the strong nonlinearity of engine,a predictive model is established by Back Propagation(BP)neural network for the entire flight envelope,whose input and output are determined with random forest algorithm and actual situation analysis.Rolling optimization typically uses SQP as the optimization algorithm,but SQP algorithm is easy to trap into local optimization.Therefore,the fuzzy-SQP algorithm is proposed to prevent this disadvantage using fuzzy algorithm to determine the initial value of SQP.In addition to the traditional three parts of model predictive control,an online correction module is added to improve the predictive accuracy of the predictive model in the predictive time domain.Simulation results show that the BP predictive model can reach a certain degree of predictive accuracy,and the proposed control system can achieve good tracking performance with the limited parameters within the safe range。展开更多
Dear Editor,Rice(Oryza sativa)is one of the most important crops in the worldand a common model plant for genomic research.The genomesofXian/IndicaandGeng/Japonicahave been completelysequenced and annotated with accur...Dear Editor,Rice(Oryza sativa)is one of the most important crops in the worldand a common model plant for genomic research.The genomesofXian/IndicaandGeng/Japonicahave been completelysequenced and annotated with accurate genome information.Over the past few years,epigenomic information,including DNAmethylation,histone modification,and chromatin accessibility,has been characterized in theXian/IndicaandGeng/Japonicage-nomes(Zhao et al.,2020).Quite a few rice three-dimensionalgenome studies have been published in the meantime(Zhaoet al.,2019).However,it is still a big challenge for many groupsthat lack dedicated bioinformatic personnel or sufficientcomputational resources to utilize such epigenetic data.展开更多
We show that weak measurements can be used to measure the tiny signature of topological phase transitions.The signature is an in-plane photonic spin Hall effect,which can be described as a consequence of a Berry phase...We show that weak measurements can be used to measure the tiny signature of topological phase transitions.The signature is an in-plane photonic spin Hall effect,which can be described as a consequence of a Berry phase.It is also parallel to the propagation direction of a light beam.The imaginary part of the weak value can be used to analyze ultrasmall longitudinal phase shifts in different topological phases.These optical signatures are related to the Chern number and bandgaps;we also use a preselection and postselection technique on the spin state to enhance the original signature.The weak amplification technique offers a potential way to determine the spin and valley properties of charge carriers,Chern numbers,and topological phases by direct optical measurement.展开更多
A new limit protection method based on Scheduling Command Governor(SCG) is proposed for imposing multiple constraints on a turbofan engine during acceleration process. A Gain Scheduling Controller(GSC) is designed for...A new limit protection method based on Scheduling Command Governor(SCG) is proposed for imposing multiple constraints on a turbofan engine during acceleration process. A Gain Scheduling Controller(GSC) is designed for the transient state control and its stability proof is developed using Linear Matrix Inequalities(LMIs). The SCG is an add-on control scheme which manages engine limits effectively based on reference trajectory optimization. Unlike the traditional min–max architecture with switching logic, the SCG method utilizes the Linear Parameter Varying(LPV) closed-loop model to form a prediction of future constraint violation and per instant solves a constraint-admissible reference within an approximate Maximal Output Admissible Set(MOAS).The influence of the variation of engine dynamic characteristics and equilibrium points during transient state control is handled by the design of contractive sets. Simulation results on a turbofan engine component-level model show the applicability and effectiveness of the SCG method. Compared to the traditional min–max method, the SCG method has less conservativeness. In addition,the design of contractive sets makes conservativeness tunable.展开更多
Alternative splicing(AS)in the tumor biological process has provided a novel perspective on carcinogenesis.However,the clinical significance of individual AS patterns of adrenocortical carcinoma(ACC)has been underesti...Alternative splicing(AS)in the tumor biological process has provided a novel perspective on carcinogenesis.However,the clinical significance of individual AS patterns of adrenocortical carcinoma(ACC)has been underestimated,and in-depth investigations are lacking.We selected 76 ACC samples from the Cancer Genome Atlas(TCGA)SpliceSeq and SpliceAid2 databases,and 39 ACC samples from Fudan University Shanghai Cancer Center(FUSCC).Prognosis-related AS events(PASEs)and survival analysis were evaluated based on prediction models constructed by machine-learning algorithm.In total,23,984 AS events and 3,614 PASEs were detected in the patients with ACC.The predicted risk score of each patient suggested that eight PASEs groups were significantly correlated with the clinical outcomes of these patients(p<0.001).Prognostic models produced AUC values of 0.907 in all PASEs’groups.Eight splicing factors(SFs),including BAG2,CXorf56,DExD-Box Helicase 21(DDX21),HSPB1,MBNL3,MSI1,RBMXL2,and SEC31B,were identified in regulatory networks of ACC.DDX21 was identified and validated as a novel clinical promoter and therapeutic target in 115 patients with ACC from TCGA and FUSCC cohorts.In conclusion,the strict standards used in this study ensured the systematic discovery of profiles of AS events using genome-wide cohorts.Our findings contribute to a comprehensive understanding of the landscape and underlying mechanism of AS,providing valuable insights into the potential usages of DDX21 for predict-ing prognosis for patients with ACC.展开更多
基金the Fundamental Research Funds for the Central Universities of China(No.20CX02308A)CNOOC Project(No.ZX2022ZCCYF3835).
文摘China’s unconventional gas fields have a large number of low-productivity and low-efficiency wells, many of whichare located in remote and environmentally harsh mountainous areas. To address the long-term stable productionof these gas wells, plunger-lift technology plays an important role. In order to fully understand and accurately graspthe drainage and gas production mechanisms of plunger-lift, a mechanical model of plunger-liquid column uplift inthe plunger-lift process was established, focusing on conventional plunger-lift systems and representative wellboreconfigurations in the Linxing region. The operating casing pressure of the plunger-lift process and the calculationmethod for the maximum daily fluid production rate based on the work regime with the highest fluid recovery ratewere determined. For the first time, the critical flow rate method was proposed as a constraint for the maximumliquid-carrying capacity of the plunger-lift, and liquid-carrying capacity charts for conventional plunger-lift withdifferent casing sizes were developed. The results showed that for 23/8 casing plunger-lift, with a well depth ofshallower than 808 m, the maximum drainage rate was 33 m3/d;for 27/8 casing plunger-lift, with a well depth ofshallower than 742 m, the maximum drainage rate was 50.15 m3/d;for 31/2 casing plunger-lift, with a well depthof shallower than 560 m, the maximum drainage rate was 75.14 m3/d. This research provides a foundation for thescientific selection of plunger-lift technology and serves as a decision-making reference for developing reasonableplunger-lift work regimes.
基金support from the National Natural Science Foundation of China(Grant Nos.12174097 and 12304321)the Natural Science Foundation of Hunan Province(Grant Nos.2021JJ10008 and 2023JJ40202)the Research Foundation of Education Bureau of Hunan Province(Grant No.22B0871).
文摘Object identification and three-dimensional reconstruction techniques are always attractive research interests in machine vision,virtual reality,augmented reality,and biomedical engineering.Optical computing metasurface,as a two-dimensional artificial design component,has displayed the supernormal character of controlling phase,amplitude,polarization,and frequency distributions of the light beam,capable of performing mathematical operations on the input light field.Here,we propose and demonstrate an all-optical object identification technique based on optical computing metasurface,and apply it to 3D reconstruction.Unlike traditional mechanisms,this scheme reduces memory consumption in the processing of the contour surface extraction.The identification and reconstruction of experimental results from high-contrast and low-contrast objects agree well with the real objects.The exploration of the all-optical object identification and 3D reconstruction techniques provides potential applications of high efficiencies,low consumption,and compact systems.
基金Supporting Project Number(RSPD2023R725)King Saud University,Riyadh,Saud Arabia。
文摘N6-methyladenosine methylation(m6A)is a common type of epigenetic alteration that prominently affects the prognosis of tumor patients.However,it is unknown how the m6A regulator affects the tumor microenvironment(TME)cell infiltration in adrenocortical carcinoma(ACC)and how it affects the prognosis of ACC patients yet.The m6A alteration patterns of 112 ACC patients were evaluated,furthermore,the association with immune infiltration cell features was investigated.The unsupervised clustering method was applied to typify the m6A alteration patterns of ACC patients.The principal component analysis(PCA)technique was taken to create the m6A score to assess the alteration pattern in specific malignancies.We found two independent patterns of m6A alteration in ACC patients.The TME cell infiltration features were significantly in accordance with phenotypes of tumor immune-inflamed and immune desert in both patterns.The m6Ascore also served as an independent predictive factor in ACC patients.The somatic copy number variation(CNV)and patients prognosis can be predicted by m6A alteration patterns.Moreover,the ACC patients with high m6A scores had better overall survival(OS)and higher efficiency in immune checkpoint blockade therapy.Our work demonstrated the significance of m6A alteration to the ACC patients immunotherapy.The individual m6A alteration patterns analysis might contribute to ACC patients prognosis prediction and immunotherapy choice.
基金financially supported by the National Natural Science Foundation of China(Grant Nos.51975305,51905289,52105457 and 52105264)National key Research and Development plan(2020YFB2010500)+2 种基金Key projects of Shandong Natural Science Foundation of China(Grant Nos.ZR2020KE027,ZR2020ME158 and ZR2021QE116)Major Science and technology innovation engineering projects of Shandong Province(Grant No.2019JZZY020111)Source Innovation Project of Qingdao West Coast New Area(Grant Nos.2020-97 and 2020-98).
文摘Metal cutting fluids(MCFs)under flood conditions do not meet the urgent needs of reducing carbon emission.Biolubricant-based minimum quantity lubrication(MQL)is an effective alternative to flood lubrication.However,pneumatic atomization MQL has poor atomization properties,which is detrimental to occupational health.Therefore,electrostatic atomization MQL requires preliminary exploratory studies.However,systematic reviews are lacking in terms of capturing the current research status and development direction of this technology.This study aims to provide a comprehensive review and critical assessment of the existing understanding of electrostatic atomization MQL.This research can be used by scientists to gain insights into the action mechanism,theoretical basis,machining performance,and development direction of this technology.First,the critical equipment,eco-friendly atomization media(biolubricants),and empowering mechanisms of electrostatic atomization MQL are presented.Second,the advanced lubrication and heat transfer mechanisms of biolubricants are revealed by quantitatively comparing MQL with MCF-based wet machining.Third,the distinctive wetting and infiltration mechanisms of electrostatic atomization MQL,combined with its unique empowering mechanism and atomization method,are compared with those of pneumatic atomization MQL.Previous experiments have shown that electrostatic atomization MQL can reduce tool wear by 42.4%in metal cutting and improve the machined surface Ra by 47%compared with pneumatic atomization MQL.Finally,future development directions,including the improvement of the coordination parameters and equipment integration aspects,are proposed.
文摘In the field of plant protection,certain methods for assessing the current pest situation and implementing appropriate protection countermeasures can effectively protect plants while saving manpower and material resources.However,current pest monitoring methods are primarily based on the stage of"seeing,hand checking,disc shooting and net catching",and the level of automation is low.Manual methods are time-consuming,prone to error,and difficult to review.We designed a method based on infrared thermography principle for counting Ricania guttata(Walker),a pest which is harmful to mangrove plants.This method,which is based on thermal infrared images and binarized image segmentation,realizes image processing of surface temperature,effectively distinguishes pests and sticky board,automatically counts the number of pests,and expands the data source based on image processing.Furthermore,this method contributes to the solution of the problem that counting error of insect close to the color of sticky board is greater in image recognition of visible light,when the pest color is close to the stick board.It can facilitate manual investigation of mangrove pests,simply and efficiently count the number of pests on the stick board,and provide data and technical support for pest condition analysis and control.
基金supported by the National Natural Science Foundation of China(Nos.51975305,51905289,52105264)the Key Project of Shandong Province,China(No.ZR2020KE027)+1 种基金the Major Research Project of Shandong Province,China(Nos.2019GGX104040 and 2019GSF108236)the Natural Science Foundation of Shandong Province,China(No.ZR2021QE116).
文摘Too high grinding force will lead to a large increase in specific grinding energy, resulting in high temperature in grinding zone, especially for the aerospace difficult cutting metal materials,seriously affecting the surface quality and accuracy. At present, the theoretical models of grinding force are mostly based on the assumption of uniform or simplified morphological characteristics of grains, which is inconsistent with the actual grains. Especially for non-engineering grinding wheel,most geometric characteristics of grains are ignored, resulting in the calculation accuracy that cannot guide practical production. Based on this, an improved grinding force model based on random grain geometric characteristics is proposed in this paper. Firstly, the surface topography model of CBN grinding wheel is established, and the effective grain determination mechanism in grinding zone is revealed. Based on the known grinding force model and mechanical behavior of interaction between grains and workpiece in different stages, the concept of grain effective action area is proposed. The variation mechanism of effective action area under the influence of grain geometric and spatial characteristics is deeply analyzed, and the calculation method under random combination of five influencing parameters is obtained. The numerical simulation is carried out to reveal the dynamic variation process of grinding force in grinding zone. In order to verify the theoretical model, the experiments of dry grinding Ti-6Al-4 V are designed. The experimental results show that under different machining parameters, the results of numerical calculation and experimental measurement are in good agreement, and the minimum error value is only 2.1 %, which indicates that the calculation accuracy of grinding force model meets the requirements and is feasible. This study will provide a theoretical basis for optimizing the wheel structure, effectively controlling the grinding force range, adjusting the grinding zone temperature and improving the workpiece machining quality in the industrial grinding process.
基金the National Key R&D Program of China(Grant No.2020YFB2010500)the National Natural Science Foundation of China(Grant Nos.52105457 and 51975305)+2 种基金the Special Fund of Taishan Scholars Project,China(Grant No.tsqn202211179)the Youth Talent Promotion Project in Shandong,China(Grant No.SDAST2021qt12)the Natural Science Foundation of Shandong Province,China(Grant Nos.ZR2023QE057,ZR2022QE028,ZR2021QE116,and ZR2020KE027).
文摘Nanoparticle-enhanced coolants(NPECs)are increasingly used in minimum quantity lubrication(MQL)machining as a green lubricant to replace conventional cutting fluids to meet the urgent need for carbon emissions and achieve sustainable manufacturing.However,the thermophysical properties of NPEC during processing remain unclear,making it difficult to provide precise guidance and selection principles for industrial applications.Therefore,this paper reviews the action mechanism,processing properties,and future development directions of NPEC.First,the laws of influence of nano-enhanced phases and base fluids on the processing performance are revealed,and the dispersion stabilization mechanism of NPEC in the preparation process is elaborated.Then,the unique molecular structure and physical properties of NPECs are combined to elucidate their unique mechanisms of heat transfer,penetration,and antifriction effects.Furthermore,the effect of NPECs is investigated on the basis of their excellent lubricating and cooling properties by comprehensively and quantitatively evaluating the material removal characteristics during machining in turning,milling,and grinding applications.Results showed that turning of Ti‒6Al‒4V with multi-walled carbon nanotube NPECs with a volume fraction of 0.2%resulted in a 34%reduction in tool wear,an average decrease in cutting force of 28%,and a 7%decrease in surface roughness Ra,compared with the conventional flood process.Finally,research gaps and future directions for further applications of NPECs in the industry are presented.
基金We thank researchers for patients enrolled from the FUSCC cohort.This work was supported by grants from the National Natural Science Foundation of China(grant numbers:81802525 and no.82172817)the Natural Science Foundation of Shanghai(grant number:20ZR1413100)+3 种基金Beijing Xisike Clinical Oncology Research Foundation(grant number:Y-HR2020MS-0948)the Shanghai“Science and Technology Innova-tion Action Plan”medical innovation research Project(grant num-ber:22Y11905100)the Shanghai Anti-Cancer Association Eyas Project(grant number:SACA-CY21A06 and no.SACA-CY21B01)Fudan University Fuqing scholars Project(grant number:FQXZ202304A).
文摘Background:Completely endophytic renal tumors(CERT)pose significant challenges due to their anatomical complexity and loss of visual clues about tumor location.A facile scoring model based on three-dimensional(3D)reconstructed images will assist in better assessing tumor location and vascular variations.Methods:In this retrospective study,80 patients diagnosed with CERT were included.Forty cases underwent preoperative assessment using 3D reconstructed imaging(3D-Cohort),while the remaining 40 cases were assessed using two-dimensional imaging(2D-Cohort).Vascular variations were evaluated by ascertaining the presence of renal arteries>1,prehilar branching arteries,and arteries anterior to veins.The proposed scoring system,termed RAL,encompassed three critical components:(R)adius(maximal tumor diameter in cm),(A)rtery(occurrence of arterial variations),and(L)ocation relative to the polar line.Comparison of the RAL scoring system was made with established nephrometry scoring systems.Results:A total of 48(60%)patients exhibited at least one vascular variation.In the 2D-Cohort,patients with vascular variations experienced significantly prolonged operation time,increased bleeding volume,and extended warm ischemia time compared with those without vascular variations.Conversely,the presence of vascular vari-ations did not significantly affect operative parameters in the 3D-Cohort.Furthermore,the 2D-Cohort demon-strated a notable decline in both short-and long-term estimated glomerular filtration rate(eGFR)changes com-pared with the 3D-Cohort,a trend consistent across patients with warm ischemia time≥25 min and those with vascular variations.Notably,the 2D-Cohort exhibited a larger margin of normal renal tissue compared with the 3D-Cohort.Elevated RAL scores correlated with larger tumor size,prolonged operation time,extended warm is-chemia time,and substantial postoperative eGFR decrease.The RAL scoring system displayed superior predictive capabilities in assessing postoperative eGFR changes compared with conventional nephrometry scoring systems.Conclusions:Our proposed 3D vascular variation-based nephrometry scoring system offers heightened proficiency in preoperative assessment,precise prediction of surgical complexity,and more accurate evaluation of postoper-ative renal function in CERT patients.
基金funded by grants from the National Natural Science Foundation of China(grant numbers:82002664,81872074,81772740,82173345 and 82373154)the Hanghai Jiading District Health Commission Scientific Research Project Youth Fund(grant num-ber:2020-QN-02)the Meng Chao Talent Training Plan-Youth Re-search Talent Training Program of Eastern Hepatobiliary Surgery Hos-pital and the Foundation for Distinguished Youths of Jiangsu Province(grant number:BK20200006).
文摘Background:Tumor-derived exosomes are involved in tumor progression and immune invasion and might func-tion as promising noninvasive approaches for clinical management.However,there are few reports on exosom-based markers for predicting the progression and adjuvant therapy response rate among patients with clear cell renal cell carcinoma(ccRCC).Methods:The signatures differentially expressed in exosomes from tumor and normal tissues from ccRCC pa-tients were correspondingly deregulated in ccRCC tissues.We adopted a two-step strategy,including Lasso and bootstrapping,to construct a novel risk stratification system termed the TDERS(Tumor-Derived Exosome-Related Risk Score).During the testing and validation phases,we leveraged multiple external datasets containing over 2000 RCC cases from eight cohorts and one inhouse cohort to evaluate the accuracy of the TDERS.In addition,enrichment analysis,immune infiltration signatures,mutation landscape and therapy sensitivity between the high and low TDERS groups were compared.Finally,the impact of TDERS on the tumor microenvironment(TME)was also analysed in our single-cell datasets.Results:TDERS consisted of 12 mRNAs deregulated in both exosomes and tissues from patients with ccRCC.TDERS achieved satisfactory performance in both prognosis and immune checkpoint inhibitor(ICI)response across all ccRCC cohorts and other pathological types,since the average area under the curve(AUC)to predict 5-year overall survival(OS)was larger than 0.8 across the four cohorts.Patients in the TDERS high group were resistant to ICIs,while mercaptopurine might function as a promising agent for those patients.Patients with a high TDERS were characterized by coagulation and hypoxia,which induced hampered tumor antigen presentation and relative resistance to ICIs.In addition,single cells from 12 advanced samples validated this phenomenon since the interaction between dendritic cells and macrophages was limited.Finally,PLOD2,which is highly expressed in fibro-and epi-tissue,could be a potential therapeutic target for ccRCC patients since inhibiting PLOD2 altered the malignant phenotype of ccRCC in vitro.Conclusion:As a novel,non-invasive,and repeatable monitoring tool,the TDERS could work as a robust risk stratification system for patients with ccRCC and precisely inform treatment decisions about ICI therapy.
基金supported by Grants from"Eagle"Program of Shanghai Anticancer Asso-ciation(grant number SHCY-JC-2021105)the Natural Science Founda-tion of Shanghai(grant number 20ZR1413100)Shanghai Municipal Health Bureau(grant number 2020CXJQ03).
文摘Background:The genomic background affects the occurrence and metastasis of cancers,including clear cell renal cell carcinoma(ccRCC).However,reports focusing on the prognostic mutational signature of Chinese ccRCC are lacking.Methods:Overall,929 patients,including a training cohort with Chinese patients(n=201),a testing cohort with Caucasian patients(n=274),and a validation cohort(n=454)were analyzed for the genomic landscape of ccRCC.Then,machine-learning algorithms were used to identify and evaluate the genomic mutational signature(GMS)in ccRCC.Analyses for prognosis,immune microenvironment,association with independent clinicopathological features,and predictive responses for immune checkpoint therapies(ICTs)were performed.Results:The DNA variation data of 929 patients with ccRCC suggested markedly differential genomic mutational frequency of the most frequent genes,such as VHL,PBRM1,BAP1,SETD2,and KDM5C between the Chinese and Caucasian populations.PBRM1 showed significant co-occurrence with VHL and SETD2.We then successfully iden-tified a seven-gene mutational signature(GMS^(Mut))that included mutations in FBN1,SHPRH,CELSR1,COL6A6,DST,ABCA13,and BAP1.The GMS^(Mut)significantly predicted progressive progression(P<0.0001,HR=2.81)and poor prognosis(P<0.0001,HR=3.89)in the Chinese training cohort.Moreover,ccRCC patients with the GMS^(Mut)had poor survival rates in the testing cohort(P=0.020)and poor outcomes were predicted for those treated with ICTs in the validation cohort(P=0.036).Interestingly,a favorable clinical response to ICTs,ele-vated expression of immune checkpoints,and increased abundance of tumor-infiltrated lymphocytes,specifically CD8^(+)T cells,Tregs,and macrophages,were observed in the GMS^(Mut)cluster.Conclusions:This study described the pro-tumorigenic GMS^(Mut)cluster that improved the prognostic accuracy in Chinese patients with ccRCC.Our discovery of the novel independent prognostic signature highlights the relationship between tumor phenotype and genomic mutational characteristics of ccRCC.
基金supported by grants from the Natural Science Founda-tion of Shanghai(graft number:20ZR1413100)Beijing Xisike Clinical Oncology Research Foundation(graft number:Y-HR2020MS-0948)+1 种基金the Shanghai Anti-Cancer Association Eyas Project(graft numbers:SACA-CY21A06,SACA-CY21B01)Shanghai Municipal Health Bureau(graft number:2020CXJQ03).
文摘With the advancement of anticancer therapy,there is increasing interest in understanding the tumor microenvi-ronment(TME).Cancer-associated fibroblasts(CAFs)play a pivotal role in the TME and have been the focus of much research in recent years.CAFs play an active role in cancer progression through complex interactions with other cells in the TME,releasing regulatory factors,synthesizing and remodeling the extracellular matrix.How-ever,research on the role of CAFs in renal cell carcinoma(RCC)is still in its nascent stages.Here,we describe the origins and subgroups of CAFs,the roles of CAFs in the development and progression of RCC,the impact of CAFs on RCC prognosis,and the potential of CAFs as treatment targets in RCC.By analyzing CAF subsets,biomarkers,and targeted therapies,we present the significance and contribution of CAFs in RCC research.Furthermore,we highlight the distinct contribution of CAFs in advanced RCC through horizontal comparison with other cancers.This paper provides a comprehensive perspective of recent and foundational studies on the role of CAFs in RCC and other types of cancers and new insights for further study of CAFs in RCC.
基金supported by grants from the National Natural Science Foundation of China(grant numbers:81802525 and 82172817)the Natural Science Foundation of Shanghai(grant number:20ZR1413100)+3 种基金Beijing Xisike Clinical Oncology Research Foundation(grant number:Y-HR2020MS-0948)the National Key Research and Development Project(grant number:2019YFC1316005)the Shanghai“Science and Technology Innovation Action Plan”Medical Innovation Research Project(grant number:22Y11905100)the Shanghai Anti-Cancer Association Eyas Project(grant numbers:SACA-CY21A06 and SACA-CY21B01).
文摘Background:The tumor microenvironment(TME)performs a crucial function in the tumorigenesis and response to immunotherapies of clear cell renal cell carcinoma(ccRCC).However,a lack of recognized pre-clinical TME-based risk models poses a great challenge to investigating the risk factors correlated with prognosis and treatment responses for patients with ccRCC.Methods:Stromal and immune contexture were assessed to calculate the TMErisk score of a large sample of patients with ccRCC from public and real-world cohorts using machine-learning algorithms.Next,analyses for prognostic efficacy,correlations with clinicopathological features,functional enrichment,immune cell distribu-tions,DNA variations,immune response,and heterogeneity were performed and validated.Results:Clinical hub genes,including INAFM2,SRPX,DPYSL3,VSIG4,APLNR,FHL5,A2M,SLFN11,ADAMTS4,IFITM1,NOD2,CCR4,HLA-DQB2,and PLAUR,were identified and incorporated to develop the TMErisk signature.Patients in the TME high risk group(category)exhibited a considerably grim prognosis,and the TMErisk model was shown to independently function as a risk indicator for the overall survival(OS)of ccRCC patients.Expression levels of immune checkpoint genes were substantially increased in TME high risk group,while those of the human leukocyte antigen(HLA)family genes were prominently decreased.In addition,tumors in the TME high group showed significantly high infiltration levels of tumor-infiltrated lymphocytes,including M2 macrophages,CD8+T cells,B cells,and CD4+T cells.In heterogeneity analysis,more frequent somatic mutations,including pro-tumorigenic BAP1 and PBRM1,were observed in the TME high group.Importantly,19.3%of patients receiving immunotherapies in the TME high group achieved complete or partial response compared with those with immune tolerance in the TME low group,suggesting that TMErisk prominently differentiates prognosis and responses to immunotherapy for patients with ccRCC.Conclusions:We first established the TMErisk score of ccRCC using machine-learning algorithms based on a large-scale population.The TMErisk score can be utilized as an innovative independent prognosis predictive marker with high sensitivity and accuracy.Our discovery also predicted the efficacy of immunotherapy in ccRCC patients,indicating the intimate link between tumor immune microenvironment and intratumoral heterogeneity.
基金supported by the Fundamental Research Enhancement Project,China(No.2017-JCJQ-ZD-047-21).
文摘A nonlinear model predictive control method based on fuzzy-Sequential Quadratic Programming(SQP)for direct thrust control is proposed in this paper for the sake of improving the accuracy of thrust control.The designed control system includes four parts,namely a predictive model,rolling optimization,online correction,and feedback correction.Considering the strong nonlinearity of engine,a predictive model is established by Back Propagation(BP)neural network for the entire flight envelope,whose input and output are determined with random forest algorithm and actual situation analysis.Rolling optimization typically uses SQP as the optimization algorithm,but SQP algorithm is easy to trap into local optimization.Therefore,the fuzzy-SQP algorithm is proposed to prevent this disadvantage using fuzzy algorithm to determine the initial value of SQP.In addition to the traditional three parts of model predictive control,an online correction module is added to improve the predictive accuracy of the predictive model in the predictive time domain.Simulation results show that the BP predictive model can reach a certain degree of predictive accuracy,and the proposed control system can achieve good tracking performance with the limited parameters within the safe range。
基金This work was supported by the National Key Research and DevelopmentProgram of China(2016YFD0100904 to X.L.,2018YFC1604000 to G.L.)the National Natural Science Foundation of China(31771422 to X.L.,31771402 to G.L.,and 31701163 to L.Z.)the Huazhong AgriculturalUniversity Independent Scientific&Technological Innovation Foundation(2662018py033 to X.L.).
文摘Dear Editor,Rice(Oryza sativa)is one of the most important crops in the worldand a common model plant for genomic research.The genomesofXian/IndicaandGeng/Japonicahave been completelysequenced and annotated with accurate genome information.Over the past few years,epigenomic information,including DNAmethylation,histone modification,and chromatin accessibility,has been characterized in theXian/IndicaandGeng/Japonicage-nomes(Zhao et al.,2020).Quite a few rice three-dimensionalgenome studies have been published in the meantime(Zhaoet al.,2019).However,it is still a big challenge for many groupsthat lack dedicated bioinformatic personnel or sufficientcomputational resources to utilize such epigenetic data.
基金National Natural Science Foundation of China(61835004)China Scholarship Council(201806130121)Hunan Provincial Innovation Foundation for Postgraduate(CX20200424).
文摘We show that weak measurements can be used to measure the tiny signature of topological phase transitions.The signature is an in-plane photonic spin Hall effect,which can be described as a consequence of a Berry phase.It is also parallel to the propagation direction of a light beam.The imaginary part of the weak value can be used to analyze ultrasmall longitudinal phase shifts in different topological phases.These optical signatures are related to the Chern number and bandgaps;we also use a preselection and postselection technique on the spin state to enhance the original signature.The weak amplification technique offers a potential way to determine the spin and valley properties of charge carriers,Chern numbers,and topological phases by direct optical measurement.
基金supported by National Science and Technology Major Project of China(No.2017-V-0004-0054)。
文摘A new limit protection method based on Scheduling Command Governor(SCG) is proposed for imposing multiple constraints on a turbofan engine during acceleration process. A Gain Scheduling Controller(GSC) is designed for the transient state control and its stability proof is developed using Linear Matrix Inequalities(LMIs). The SCG is an add-on control scheme which manages engine limits effectively based on reference trajectory optimization. Unlike the traditional min–max architecture with switching logic, the SCG method utilizes the Linear Parameter Varying(LPV) closed-loop model to form a prediction of future constraint violation and per instant solves a constraint-admissible reference within an approximate Maximal Output Admissible Set(MOAS).The influence of the variation of engine dynamic characteristics and equilibrium points during transient state control is handled by the design of contractive sets. Simulation results on a turbofan engine component-level model show the applicability and effectiveness of the SCG method. Compared to the traditional min–max method, the SCG method has less conservativeness. In addition,the design of contractive sets makes conservativeness tunable.
基金supported by National Key Research and Development Program of China(No.2019YFC1316000)Fuqing Scholar Student Scientific Research Program of Shanghai Medical College,Fudan University(No.FQXZ202112B)+1 种基金Natural Science Foundation of Shanghai(No.20ZR1413100)Shanghai Municipal Health Bureau(No.2020CXJQ03).
文摘Alternative splicing(AS)in the tumor biological process has provided a novel perspective on carcinogenesis.However,the clinical significance of individual AS patterns of adrenocortical carcinoma(ACC)has been underestimated,and in-depth investigations are lacking.We selected 76 ACC samples from the Cancer Genome Atlas(TCGA)SpliceSeq and SpliceAid2 databases,and 39 ACC samples from Fudan University Shanghai Cancer Center(FUSCC).Prognosis-related AS events(PASEs)and survival analysis were evaluated based on prediction models constructed by machine-learning algorithm.In total,23,984 AS events and 3,614 PASEs were detected in the patients with ACC.The predicted risk score of each patient suggested that eight PASEs groups were significantly correlated with the clinical outcomes of these patients(p<0.001).Prognostic models produced AUC values of 0.907 in all PASEs’groups.Eight splicing factors(SFs),including BAG2,CXorf56,DExD-Box Helicase 21(DDX21),HSPB1,MBNL3,MSI1,RBMXL2,and SEC31B,were identified in regulatory networks of ACC.DDX21 was identified and validated as a novel clinical promoter and therapeutic target in 115 patients with ACC from TCGA and FUSCC cohorts.In conclusion,the strict standards used in this study ensured the systematic discovery of profiles of AS events using genome-wide cohorts.Our findings contribute to a comprehensive understanding of the landscape and underlying mechanism of AS,providing valuable insights into the potential usages of DDX21 for predict-ing prognosis for patients with ACC.
