Suppose to toss an independent coin with equal probability of success and failure for each subset of [n] = {1, 2, ..., n}, and form the random hypergraph H(n) by taking as hyperedges the subsets with successful coin t...Suppose to toss an independent coin with equal probability of success and failure for each subset of [n] = {1, 2, ..., n}, and form the random hypergraph H(n) by taking as hyperedges the subsets with successful coin tosses. It is proved that H(n) is almost surely connected. By defining a graph G(S) according to a subset system S, it is shown that the intersecting problem is NP-complete.展开更多
In this study,we examine the problem of sliced inverse regression(SIR),a widely used method for sufficient dimension reduction(SDR).It was designed to find reduced-dimensional versions of multivariate predictors by re...In this study,we examine the problem of sliced inverse regression(SIR),a widely used method for sufficient dimension reduction(SDR).It was designed to find reduced-dimensional versions of multivariate predictors by replacing them with a minimally adequate collection of their linear combinations without loss of information.Recently,regularization methods have been proposed in SIR to incorporate a sparse structure of predictors for better interpretability.However,existing methods consider convex relaxation to bypass the sparsity constraint,which may not lead to the best subset,and particularly tends to include irrelevant variables when predictors are correlated.In this study,we approach sparse SIR as a nonconvex optimization problem and directly tackle the sparsity constraint by establishing the optimal conditions and iteratively solving them by means of the splicing technique.Without employing convex relaxation on the sparsity constraint and the orthogonal constraint,our algorithm exhibits superior empirical merits,as evidenced by extensive numerical studies.Computationally,our algorithm is much faster than the relaxed approach for the natural sparse SIR estimator.Statistically,our algorithm surpasses existing methods in terms of accuracy for central subspace estimation and best subset selection and sustains high performance even with correlated predictors.展开更多
BACKGROUND Patients with acute-on-chronic liver failure(ACLF)experience severe immune dysfunction.Liver transplantation(LT)significantly improves survival outcomes.However,the characteristics of peripheral blood lymph...BACKGROUND Patients with acute-on-chronic liver failure(ACLF)experience severe immune dysfunction.Liver transplantation(LT)significantly improves survival outcomes.However,the characteristics of peripheral blood lymphocyte subsets(PBLSs)in this patient population are not well defined,and the dynamics of immune reconstitution post-LT are insufficiently understood.AIM To characterize PBLSs in patients with ACLF prior to LT and to evaluate PBLS reconstitution after LT.METHODS Clinical data from patients undergoing LT in the Transplantation Center,The Third Xiangya Hospital from January 2022 to December 2023 were analyzed retrospectively.Our cohort comprised 44 patients with ACLF,16 patients with acute decompensation of cirrhosis,and 23 patients with compensated cirrhosis.Twenty healthy volunteers were included as controls.PBLSs were evaluated across all groups.The relationship between PBLSs and post-LT prognosis was assessed,and dynamic changes in PBLSs among patients with ACLF were analyzed at different time points.RESULTS Patients with ACLF exhibited a marked reduction in PBLSs compared with healthy volunteers.Natural killer(NK)cell counts were further reduced in patients with ACLF when compared with patients with compensated cirrhosis.PBLSs did not correlate with the etiology or severity of ACLF or with established liver failure scores.Following LT,a rapid restoration of NK cells and B cells was observed in patients with ACLF.However,the cluster of differentiation(CD)3+T cell and CD4+T cell counts decreased 14 days post-LT and subsequently returned to preoperative levels by day 21.CONCLUSION Patients with ACLF exhibited markedly reduced PBLSs,with decreased NK cells potentially linked to progression from compensated cirrhosis to liver failure.NK and B cell were rapidly restored after LT.展开更多
In modal logic,topological semantics is an intuitive and natural special case of neighbourhood semantics.This paper stems from the observation that the satisfaction relation of topological semantics applies to subset ...In modal logic,topological semantics is an intuitive and natural special case of neighbourhood semantics.This paper stems from the observation that the satisfaction relation of topological semantics applies to subset spaces which are more general than topological spaces.The minimal modal logic which is strongly sound and complete with respect to the class of subset spaces is found.Soundness and completeness results of some famous modal logics(e.g.S4,S5 and Tr)with respect to various important classes of subset spaces(eg intersection structures and complete fields of sets)are also proved.In the meantime,some known results,e.g.the soundness and completeness of Tr with respect to the class of discrete topological spaces,are proved directly using some modifications of the method of canonical mode1,without a detour via neighbourhood semantics or relational semantics.展开更多
The stratospheric airship is affected by harsh conditions in the stratosphere environment.To ensure the safety of the airship,it is necessary to detect the material state of the airship envelope.Since digital image co...The stratospheric airship is affected by harsh conditions in the stratosphere environment.To ensure the safety of the airship,it is necessary to detect the material state of the airship envelope.Since digital image correlation possesses non-contact strain measurement ability,this paper explores the infuence of different shapes of the subset on measurement accuracy.Through the results,it is found that increasing the aspect ratio of subsets can improve the strain accuracy measured in the c-direction,and reducing the aspect ratio can improve the strain accuracy measured in the y-direction.This trend becomes more obvious as the strain increases.Based on this discovery,a subset adaptive algorithm is proposed.The feasibility of the algorithm is verified by experiments,and the precision of strain measurement can be effectively improved by adjusting the threshold value.Therefore,the algorithm can be utilized to increase the measurement accuracy in the larger strain direction without changing the size of the subset.展开更多
The response of the train–bridge system has an obvious random behavior.A high traffic density and a long maintenance period of a track will result in a substantial increase in the number of trains running on a bridge...The response of the train–bridge system has an obvious random behavior.A high traffic density and a long maintenance period of a track will result in a substantial increase in the number of trains running on a bridge,and there is small likelihood that the maximum responses of the train and bridge happen in the total maintenance period of the track.Firstly,the coupling model of train–bridge systems is reviewed.Then,an ensemble method is presented,which can estimate the small probabilities of a dynamic system with stochastic excitations.The main idea of the ensemble method is to use the NARX(nonlinear autoregressive with exogenous input)model to replace the physical model and apply subset simulation with splitting to obtain the extreme distribution.Finally,the efficiency of the suggested method is compared with the direct Monte Carlo simulation method,and the probability exceedance of train responses under the vertical track irregularity is discussed.The results show that when the small probability of train responses under vertical track irregularity is estimated,the ensemble method can reduce both the calculation time of a single sample and the required number of samples.展开更多
BACKGROUND Advanced gastric cancer(AGC)remains a challenging malignancy with poor prognosis.The combination of oxaliplatin and trastuzumab has shown promising results in AGC treatment.This study aimed to investigate t...BACKGROUND Advanced gastric cancer(AGC)remains a challenging malignancy with poor prognosis.The combination of oxaliplatin and trastuzumab has shown promising results in AGC treatment.This study aimed to investigate the effects of oxaliplatin and trastuzumab combination therapy on serum tumor markers and T lymphocyte subsets in patients with AGC and to explore their potential as predictive biomarkers for treatment response.AIM To investigate the impact of oxaliplatin and trastuzumab combination therapy on serum markers and T cell subsets in patients with AGC.METHODS This prospective study enrolled 60 patients with AGC.All patients received oxaliplatin(130 mg/m^(2),every 3 weeks)and trastuzumab(8 mg/kg loading dose,followed by 6 mg/kg every 3 weeks)for six cycles.Serum carcinoembryonic antigen(CEA),cancer antigen 19-9(CA19-9),and cancer antigen 72-4(CA72-4)were measured before and after treatment.T-lymphocyte subsets,including CD3+,CD4+,CD8+,and CD4+/CD8+ratios,were also evaluated.The clinical response was assessed using the Response Evaluation Criteria in Solid Tumors version 1.1.RESULTS After six cycles of treatment,the CEA,CA19-9,and CA72-4 serum levels significantly decreased compared to baseline levels(P<0.001).The percentages of CD3+and CD4+T lymphocytes increased significantly(P<0.05),whereas the percentage of CD8+T lymphocytes decreased(P<0.05).The CD4+/CD8+ratio also significantly increased after treatment(P<0.05).Patients with a higher decrease in serum tumor markers(≥50%reduction)and a higher increase in CD4+/CD8+ratio(≥1.5-fold)showed better clinical response rates(P<0.05).CONCLUSION Oxaliplatin and trastuzumab combination therapy effectively reduced serum tumor marker levels and modulated T lymphocyte subsets in patients with AGC.Combination therapy not only has a direct antitumor effect,but also enhances the immune response in patients with AGC.Serum tumor markers and T lymphocyte subsets may serve as potential predictive biomarkers for treatment response in patients with AGC receiving combination therapy.展开更多
The maintenance of safety and dependability in rail and road embankments is of utmost importance in order to facilitate the smooth operation of transportation networks.This study introduces a comprehensive methodology...The maintenance of safety and dependability in rail and road embankments is of utmost importance in order to facilitate the smooth operation of transportation networks.This study introduces a comprehensive methodology for soil slope stability evaluation,employing Monte Carlo Simulation(MCS)and Subset Simulation(SS)with the"UPSS 3.0 Add-in"in MS-Excel.Focused on an 11.693-meter embankment with a soil slope(inclination ratio of 2H:1V),the investigation considers earthquake coefficients(kh)and pore water pressure ratios(ru)following Indian zoning requirements.The chance of slope failure showed a considerable increase as the Coefficient of Variation(COV),seismic coefficients(kh),and pore water pressure ratios(ru)experienced an escalation.The SS approach showed exceptional efficacy in calculating odds of failure that are notably low.Within computational modeling,the study optimized the worst-case scenario using ANFIS-GA,ANFIS-GWO,ANFIS-PSO,and ANFIS-BBO models.The ANFIS-PSO model exhibits exceptional accuracy(training R2=0.9011,RMSE=0.0549;testing R2=0.8968,RMSE=0.0615),emerging as the most promising.This study highlights the significance of conducting thorough risk assessments and offers practical insights into evaluating and improving the stability of soil slopes in transportation infrastructure.These findings contribute to the enhancement of safety and reliability in real-world situations.展开更多
This article compares the size of selected subsets using nonparametric subset selection rules with two different scoring rules for the observations. The scoring rules are based on the expected values of order statisti...This article compares the size of selected subsets using nonparametric subset selection rules with two different scoring rules for the observations. The scoring rules are based on the expected values of order statistics of the uniform distribution (yielding rank values) and of the normal distribution (yielding normal score values). The comparison is made using state motor vehicle traffic fatality rates, published in a 2016 article, with fifty-one states (including DC as a state) and over a nineteen-year period (1994 through 2012). The earlier study considered four block design selection rules—two for choosing a subset to contain the “best” population (i.e., state with lowest mean fatality rate) and two for the “worst” population (i.e., highest mean rate) with a probability of correct selection chosen to be 0.90. Two selection rules based on normal scores resulted in selected subset sizes substantially smaller than corresponding rules based on ranks (7 vs. 16 and 3 vs. 12). For two other selection rules, the subsets chosen were very close in size (within one). A comparison is also made using state homicide rates, published in a 2022 article, with fifty states and covering eight years. The results are qualitatively the same as those obtained with the motor vehicle traffic fatality rates.展开更多
Objective:To study the effect of Helicobacter pylori infection on rheumatoid arthritis and T-lymphocyte subpopulations in patients with rheumatoid arthritis and to provide a new method for the treatment of rheumatoid ...Objective:To study the effect of Helicobacter pylori infection on rheumatoid arthritis and T-lymphocyte subpopulations in patients with rheumatoid arthritis and to provide a new method for the treatment of rheumatoid arthritis by removing Helicobacter pylori from patients.Methods:60 patients with rheumatoid arthritis admitted to the hospital from May 2022 to May 2023 were selected for the study,and all patients underwent a 13-carbon urea breath test to detect gastric H.pylori and the test results showed that 20 cases were negative and 40 cases were positive.The 40 positive patients were divided into the treatment group(n=20)and non-treatment group(n=20)by random number table method and the treatment group was given anti-Helicobacter pylori treatment,and the non-treatment group was given maintenance rheumatoid basic treatment,comparing the anti-cyclic citrulline peptide(CCP),DS28 score,peripheral blood T-lymphocyte subsets(CD4^(+)T-lymphocytes,CD8^(+)T-lymphocytes,CD4^(+)/CD8^(+)ratio)before and after the treatment of patients by 13-carbon urea respiration test(pylori-negative group,20 patients)and those who were positive for the treatment of H pylori(pylori-positive group,40 patients).Besides,the correlation of peripheral blood T-lymphocyte subsets and disease activity between treatment and non-treatment groups in the pylori-positive group was identified together with the correlation of DS28 scores,TNF-αlevels,sedimentation and immunoglobulin,lymphocyte subsets in the pylori-positive treatment group and positive non-treatment group as well as the level of globulin,lymphocyte subsets,and peripheral blood lymphocytes before and after treatment.Results:Before treatment,CCP,DS28 score,CD8^(+)T lymphocyte level of the pylori-negative group were lower than that of the positive group,and CD4^(+)T lymphocyte and CD4^(+)/CD8^(+)ratio were higher than that of the positive group(P<0.05);after treatment,the indexes of the pylori-positive group improved,and there was no significant difference in the comparison of the indexes with those of the pylori-negative group(P>0.05);the positive treatment group had a DS28(3.19±1.02)points,positive non-treatment group DS28(5.36±1.85)points,non-treatment group DS28 score and CD4^(+)T lymphocytes,CD4^(+)/CD8^(+)negative correlation with CD8^(+)T lymphocytes showed a positive correlation(P<0.05);before the treatment,pylori-positive treatment group and non-treatment group DS28 scores,TNF-αlevels,peripheral blood T lymphocyte subpopulation levels were not significantly different(P>0.05);after treatment,DS28 score,TNF-αlevel,CD8^(+)T of the treatment group were lower than those of the non-treatment group,and CD4^(+)T lymphocytes and CD4^(+)/CD8^(+)ratio were higher than those of the non-treatment group(P<0.05).Conclusion:H.pylori affects the level of T lymphocyte subsets in patients with rheumatoid arthritis,and there is a certain correlation between the two.Removal of H.pylori can improve the level of T lymphocyte subsets,which is important for the treatment of patients with rheumatoid arthritis.展开更多
There are some limitations when we apply conventional methods to analyze the massive amounts of seismic data acquired with high-density spatial sampling since processors usually obtain the properties of raw data from ...There are some limitations when we apply conventional methods to analyze the massive amounts of seismic data acquired with high-density spatial sampling since processors usually obtain the properties of raw data from common shot gathers or other datasets located at certain points or along lines. We propose a novel method in this paper to observe seismic data on time slices from spatial subsets. The composition of a spatial subset and the unique character of orthogonal or oblique subsets are described and pre-stack subsets are shown by 3D visualization. In seismic data processing, spatial subsets can be used for the following aspects： （1） to check the trace distribution uniformity and regularity; （2） to observe the main features of ground-roll and linear noise; （3） to find abnormal traces from slices of datasets; and （4） to QC the results of pre-stack noise attenuation. The field data application shows that seismic data analysis in spatial subsets is an effective method that may lead to a better discrimination among various wavefields and help us obtain more information.展开更多
A new method that uses a modified ordered subsets （MOS） algorithm to improve the convergence rate of space-alternating generalized expectation-maximization （SAGE） algorithm for positron emission tomography （PET）...A new method that uses a modified ordered subsets （MOS） algorithm to improve the convergence rate of space-alternating generalized expectation-maximization （SAGE） algorithm for positron emission tomography （PET） image reconstruction is proposed.In the MOS-SAGE algorithm,the number of projections and the access order of the subsets are modified in order to improve the quality of the reconstructed images and accelerate the convergence speed.The number of projections in a subset increases as follows：2,4,8,16,32 and 64.This sequence means that the high frequency component is recovered first and the low frequency component is recovered in the succeeding iteration steps.In addition,the neighboring subsets are separated as much as possible so that the correlation of projections can be decreased and the convergences can be speeded up.The application of the proposed method to simulated and real images shows that the MOS-SAGE algorithm has better performance than the SAGE algorithm and the OSEM algorithm in convergence and image quality.展开更多
Objective: To study the expression of Fas and Bcl-2proteins on T lymphocyte subsets in the peripheralblood of relapsing patients with condyloma acuminatum(CA) and healthy controls. Methods: Flow cytometry (permeabizat...Objective: To study the expression of Fas and Bcl-2proteins on T lymphocyte subsets in the peripheralblood of relapsing patients with condyloma acuminatum(CA) and healthy controls. Methods: Flow cytometry (permeabization andstaining procedure with conjugated antibodies) wasused. Results: We observed that the expression of Fasprotein on CD4^+ T lymphocyte subset of CA patientswas significantly higher than that of healthy controls(P<0.01). Conclusions: Increased expression of Fas proteinon CD4^+ T lymphocyte subset may be a cause of de-creased percentage of CD4^+ T lymphocyte subset. Thisinduces the increased ratio of CD4^+/CD8^+.展开更多
The subset threshold auto regressive (SSTAR) model, which is capable of reproducing the limit cycle behavior of nonlinear time series, is introduced. The algorithm for fitting the sampled data with SSTAR model is pr...The subset threshold auto regressive (SSTAR) model, which is capable of reproducing the limit cycle behavior of nonlinear time series, is introduced. The algorithm for fitting the sampled data with SSTAR model is proposed and applied to model and forecast power load. Numerical example verifies that desirable accuracy of short term load forecasting can be achieved by using the SSTAR model.展开更多
Ovarian cancer remains a leading cause of gynecological cancer mortality1,and patients with advanced stage ovarian cancer frequently develop malignant ascites that foster immunosuppressive microenvironments and therap...Ovarian cancer remains a leading cause of gynecological cancer mortality1,and patients with advanced stage ovarian cancer frequently develop malignant ascites that foster immunosuppressive microenvironments and therapeutic resistance2,3.Although ascites have traditionally been considered detrimental,we report a paradoxical role in which they enhance the cytotoxicity ofγδT cells—a unique T cell subset that can be allogenically transferred for cancer treatment4,5—toward ovarian cancer.展开更多
文摘Suppose to toss an independent coin with equal probability of success and failure for each subset of [n] = {1, 2, ..., n}, and form the random hypergraph H(n) by taking as hyperedges the subsets with successful coin tosses. It is proved that H(n) is almost surely connected. By defining a graph G(S) according to a subset system S, it is shown that the intersecting problem is NP-complete.
文摘In this study,we examine the problem of sliced inverse regression(SIR),a widely used method for sufficient dimension reduction(SDR).It was designed to find reduced-dimensional versions of multivariate predictors by replacing them with a minimally adequate collection of their linear combinations without loss of information.Recently,regularization methods have been proposed in SIR to incorporate a sparse structure of predictors for better interpretability.However,existing methods consider convex relaxation to bypass the sparsity constraint,which may not lead to the best subset,and particularly tends to include irrelevant variables when predictors are correlated.In this study,we approach sparse SIR as a nonconvex optimization problem and directly tackle the sparsity constraint by establishing the optimal conditions and iteratively solving them by means of the splicing technique.Without employing convex relaxation on the sparsity constraint and the orthogonal constraint,our algorithm exhibits superior empirical merits,as evidenced by extensive numerical studies.Computationally,our algorithm is much faster than the relaxed approach for the natural sparse SIR estimator.Statistically,our algorithm surpasses existing methods in terms of accuracy for central subspace estimation and best subset selection and sustains high performance even with correlated predictors.
基金Supported by the National Natural Science Foundation of China,No.82300857.
文摘BACKGROUND Patients with acute-on-chronic liver failure(ACLF)experience severe immune dysfunction.Liver transplantation(LT)significantly improves survival outcomes.However,the characteristics of peripheral blood lymphocyte subsets(PBLSs)in this patient population are not well defined,and the dynamics of immune reconstitution post-LT are insufficiently understood.AIM To characterize PBLSs in patients with ACLF prior to LT and to evaluate PBLS reconstitution after LT.METHODS Clinical data from patients undergoing LT in the Transplantation Center,The Third Xiangya Hospital from January 2022 to December 2023 were analyzed retrospectively.Our cohort comprised 44 patients with ACLF,16 patients with acute decompensation of cirrhosis,and 23 patients with compensated cirrhosis.Twenty healthy volunteers were included as controls.PBLSs were evaluated across all groups.The relationship between PBLSs and post-LT prognosis was assessed,and dynamic changes in PBLSs among patients with ACLF were analyzed at different time points.RESULTS Patients with ACLF exhibited a marked reduction in PBLSs compared with healthy volunteers.Natural killer(NK)cell counts were further reduced in patients with ACLF when compared with patients with compensated cirrhosis.PBLSs did not correlate with the etiology or severity of ACLF or with established liver failure scores.Following LT,a rapid restoration of NK cells and B cells was observed in patients with ACLF.However,the cluster of differentiation(CD)3+T cell and CD4+T cell counts decreased 14 days post-LT and subsequently returned to preoperative levels by day 21.CONCLUSION Patients with ACLF exhibited markedly reduced PBLSs,with decreased NK cells potentially linked to progression from compensated cirrhosis to liver failure.NK and B cell were rapidly restored after LT.
基金supported by the National Social Science Fund of China(No.20CZX048)。
文摘In modal logic,topological semantics is an intuitive and natural special case of neighbourhood semantics.This paper stems from the observation that the satisfaction relation of topological semantics applies to subset spaces which are more general than topological spaces.The minimal modal logic which is strongly sound and complete with respect to the class of subset spaces is found.Soundness and completeness results of some famous modal logics(e.g.S4,S5 and Tr)with respect to various important classes of subset spaces(eg intersection structures and complete fields of sets)are also proved.In the meantime,some known results,e.g.the soundness and completeness of Tr with respect to the class of discrete topological spaces,are proved directly using some modifications of the method of canonical mode1,without a detour via neighbourhood semantics or relational semantics.
文摘The stratospheric airship is affected by harsh conditions in the stratosphere environment.To ensure the safety of the airship,it is necessary to detect the material state of the airship envelope.Since digital image correlation possesses non-contact strain measurement ability,this paper explores the infuence of different shapes of the subset on measurement accuracy.Through the results,it is found that increasing the aspect ratio of subsets can improve the strain accuracy measured in the c-direction,and reducing the aspect ratio can improve the strain accuracy measured in the y-direction.This trend becomes more obvious as the strain increases.Based on this discovery,a subset adaptive algorithm is proposed.The feasibility of the algorithm is verified by experiments,and the precision of strain measurement can be effectively improved by adjusting the threshold value.Therefore,the algorithm can be utilized to increase the measurement accuracy in the larger strain direction without changing the size of the subset.
基金This work was financially supported by the National Natural Science Foundation of China(Nos.51978589,51778544,and 51525804).
文摘The response of the train–bridge system has an obvious random behavior.A high traffic density and a long maintenance period of a track will result in a substantial increase in the number of trains running on a bridge,and there is small likelihood that the maximum responses of the train and bridge happen in the total maintenance period of the track.Firstly,the coupling model of train–bridge systems is reviewed.Then,an ensemble method is presented,which can estimate the small probabilities of a dynamic system with stochastic excitations.The main idea of the ensemble method is to use the NARX(nonlinear autoregressive with exogenous input)model to replace the physical model and apply subset simulation with splitting to obtain the extreme distribution.Finally,the efficiency of the suggested method is compared with the direct Monte Carlo simulation method,and the probability exceedance of train responses under the vertical track irregularity is discussed.The results show that when the small probability of train responses under vertical track irregularity is estimated,the ensemble method can reduce both the calculation time of a single sample and the required number of samples.
文摘BACKGROUND Advanced gastric cancer(AGC)remains a challenging malignancy with poor prognosis.The combination of oxaliplatin and trastuzumab has shown promising results in AGC treatment.This study aimed to investigate the effects of oxaliplatin and trastuzumab combination therapy on serum tumor markers and T lymphocyte subsets in patients with AGC and to explore their potential as predictive biomarkers for treatment response.AIM To investigate the impact of oxaliplatin and trastuzumab combination therapy on serum markers and T cell subsets in patients with AGC.METHODS This prospective study enrolled 60 patients with AGC.All patients received oxaliplatin(130 mg/m^(2),every 3 weeks)and trastuzumab(8 mg/kg loading dose,followed by 6 mg/kg every 3 weeks)for six cycles.Serum carcinoembryonic antigen(CEA),cancer antigen 19-9(CA19-9),and cancer antigen 72-4(CA72-4)were measured before and after treatment.T-lymphocyte subsets,including CD3+,CD4+,CD8+,and CD4+/CD8+ratios,were also evaluated.The clinical response was assessed using the Response Evaluation Criteria in Solid Tumors version 1.1.RESULTS After six cycles of treatment,the CEA,CA19-9,and CA72-4 serum levels significantly decreased compared to baseline levels(P<0.001).The percentages of CD3+and CD4+T lymphocytes increased significantly(P<0.05),whereas the percentage of CD8+T lymphocytes decreased(P<0.05).The CD4+/CD8+ratio also significantly increased after treatment(P<0.05).Patients with a higher decrease in serum tumor markers(≥50%reduction)and a higher increase in CD4+/CD8+ratio(≥1.5-fold)showed better clinical response rates(P<0.05).CONCLUSION Oxaliplatin and trastuzumab combination therapy effectively reduced serum tumor marker levels and modulated T lymphocyte subsets in patients with AGC.Combination therapy not only has a direct antitumor effect,but also enhances the immune response in patients with AGC.Serum tumor markers and T lymphocyte subsets may serve as potential predictive biomarkers for treatment response in patients with AGC receiving combination therapy.
文摘The maintenance of safety and dependability in rail and road embankments is of utmost importance in order to facilitate the smooth operation of transportation networks.This study introduces a comprehensive methodology for soil slope stability evaluation,employing Monte Carlo Simulation(MCS)and Subset Simulation(SS)with the"UPSS 3.0 Add-in"in MS-Excel.Focused on an 11.693-meter embankment with a soil slope(inclination ratio of 2H:1V),the investigation considers earthquake coefficients(kh)and pore water pressure ratios(ru)following Indian zoning requirements.The chance of slope failure showed a considerable increase as the Coefficient of Variation(COV),seismic coefficients(kh),and pore water pressure ratios(ru)experienced an escalation.The SS approach showed exceptional efficacy in calculating odds of failure that are notably low.Within computational modeling,the study optimized the worst-case scenario using ANFIS-GA,ANFIS-GWO,ANFIS-PSO,and ANFIS-BBO models.The ANFIS-PSO model exhibits exceptional accuracy(training R2=0.9011,RMSE=0.0549;testing R2=0.8968,RMSE=0.0615),emerging as the most promising.This study highlights the significance of conducting thorough risk assessments and offers practical insights into evaluating and improving the stability of soil slopes in transportation infrastructure.These findings contribute to the enhancement of safety and reliability in real-world situations.
文摘This article compares the size of selected subsets using nonparametric subset selection rules with two different scoring rules for the observations. The scoring rules are based on the expected values of order statistics of the uniform distribution (yielding rank values) and of the normal distribution (yielding normal score values). The comparison is made using state motor vehicle traffic fatality rates, published in a 2016 article, with fifty-one states (including DC as a state) and over a nineteen-year period (1994 through 2012). The earlier study considered four block design selection rules—two for choosing a subset to contain the “best” population (i.e., state with lowest mean fatality rate) and two for the “worst” population (i.e., highest mean rate) with a probability of correct selection chosen to be 0.90. Two selection rules based on normal scores resulted in selected subset sizes substantially smaller than corresponding rules based on ranks (7 vs. 16 and 3 vs. 12). For two other selection rules, the subsets chosen were very close in size (within one). A comparison is also made using state homicide rates, published in a 2022 article, with fifty states and covering eight years. The results are qualitatively the same as those obtained with the motor vehicle traffic fatality rates.
文摘Objective:To study the effect of Helicobacter pylori infection on rheumatoid arthritis and T-lymphocyte subpopulations in patients with rheumatoid arthritis and to provide a new method for the treatment of rheumatoid arthritis by removing Helicobacter pylori from patients.Methods:60 patients with rheumatoid arthritis admitted to the hospital from May 2022 to May 2023 were selected for the study,and all patients underwent a 13-carbon urea breath test to detect gastric H.pylori and the test results showed that 20 cases were negative and 40 cases were positive.The 40 positive patients were divided into the treatment group(n=20)and non-treatment group(n=20)by random number table method and the treatment group was given anti-Helicobacter pylori treatment,and the non-treatment group was given maintenance rheumatoid basic treatment,comparing the anti-cyclic citrulline peptide(CCP),DS28 score,peripheral blood T-lymphocyte subsets(CD4^(+)T-lymphocytes,CD8^(+)T-lymphocytes,CD4^(+)/CD8^(+)ratio)before and after the treatment of patients by 13-carbon urea respiration test(pylori-negative group,20 patients)and those who were positive for the treatment of H pylori(pylori-positive group,40 patients).Besides,the correlation of peripheral blood T-lymphocyte subsets and disease activity between treatment and non-treatment groups in the pylori-positive group was identified together with the correlation of DS28 scores,TNF-αlevels,sedimentation and immunoglobulin,lymphocyte subsets in the pylori-positive treatment group and positive non-treatment group as well as the level of globulin,lymphocyte subsets,and peripheral blood lymphocytes before and after treatment.Results:Before treatment,CCP,DS28 score,CD8^(+)T lymphocyte level of the pylori-negative group were lower than that of the positive group,and CD4^(+)T lymphocyte and CD4^(+)/CD8^(+)ratio were higher than that of the positive group(P<0.05);after treatment,the indexes of the pylori-positive group improved,and there was no significant difference in the comparison of the indexes with those of the pylori-negative group(P>0.05);the positive treatment group had a DS28(3.19±1.02)points,positive non-treatment group DS28(5.36±1.85)points,non-treatment group DS28 score and CD4^(+)T lymphocytes,CD4^(+)/CD8^(+)negative correlation with CD8^(+)T lymphocytes showed a positive correlation(P<0.05);before the treatment,pylori-positive treatment group and non-treatment group DS28 scores,TNF-αlevels,peripheral blood T lymphocyte subpopulation levels were not significantly different(P>0.05);after treatment,DS28 score,TNF-αlevel,CD8^(+)T of the treatment group were lower than those of the non-treatment group,and CD4^(+)T lymphocytes and CD4^(+)/CD8^(+)ratio were higher than those of the non-treatment group(P<0.05).Conclusion:H.pylori affects the level of T lymphocyte subsets in patients with rheumatoid arthritis,and there is a certain correlation between the two.Removal of H.pylori can improve the level of T lymphocyte subsets,which is important for the treatment of patients with rheumatoid arthritis.
文摘There are some limitations when we apply conventional methods to analyze the massive amounts of seismic data acquired with high-density spatial sampling since processors usually obtain the properties of raw data from common shot gathers or other datasets located at certain points or along lines. We propose a novel method in this paper to observe seismic data on time slices from spatial subsets. The composition of a spatial subset and the unique character of orthogonal or oblique subsets are described and pre-stack subsets are shown by 3D visualization. In seismic data processing, spatial subsets can be used for the following aspects： （1） to check the trace distribution uniformity and regularity; （2） to observe the main features of ground-roll and linear noise; （3） to find abnormal traces from slices of datasets; and （4） to QC the results of pre-stack noise attenuation. The field data application shows that seismic data analysis in spatial subsets is an effective method that may lead to a better discrimination among various wavefields and help us obtain more information.
基金The National Basic Research Program of China (973Program) (No.2003CB716102).
文摘A new method that uses a modified ordered subsets （MOS） algorithm to improve the convergence rate of space-alternating generalized expectation-maximization （SAGE） algorithm for positron emission tomography （PET） image reconstruction is proposed.In the MOS-SAGE algorithm,the number of projections and the access order of the subsets are modified in order to improve the quality of the reconstructed images and accelerate the convergence speed.The number of projections in a subset increases as follows：2,4,8,16,32 and 64.This sequence means that the high frequency component is recovered first and the low frequency component is recovered in the succeeding iteration steps.In addition,the neighboring subsets are separated as much as possible so that the correlation of projections can be decreased and the convergences can be speeded up.The application of the proposed method to simulated and real images shows that the MOS-SAGE algorithm has better performance than the SAGE algorithm and the OSEM algorithm in convergence and image quality.
文摘Objective: To study the expression of Fas and Bcl-2proteins on T lymphocyte subsets in the peripheralblood of relapsing patients with condyloma acuminatum(CA) and healthy controls. Methods: Flow cytometry (permeabization andstaining procedure with conjugated antibodies) wasused. Results: We observed that the expression of Fasprotein on CD4^+ T lymphocyte subset of CA patientswas significantly higher than that of healthy controls(P<0.01). Conclusions: Increased expression of Fas proteinon CD4^+ T lymphocyte subset may be a cause of de-creased percentage of CD4^+ T lymphocyte subset. Thisinduces the increased ratio of CD4^+/CD8^+.
文摘The subset threshold auto regressive (SSTAR) model, which is capable of reproducing the limit cycle behavior of nonlinear time series, is introduced. The algorithm for fitting the sampled data with SSTAR model is proposed and applied to model and forecast power load. Numerical example verifies that desirable accuracy of short term load forecasting can be achieved by using the SSTAR model.
基金supported by the National Natural Science Foundation of China(Grant No.82274034)the Peking University Medicine plus X Pilot Program-Platform Construction Project(Grant No.2024YXXLHPT004).
文摘Ovarian cancer remains a leading cause of gynecological cancer mortality1,and patients with advanced stage ovarian cancer frequently develop malignant ascites that foster immunosuppressive microenvironments and therapeutic resistance2,3.Although ascites have traditionally been considered detrimental,we report a paradoxical role in which they enhance the cytotoxicity ofγδT cells—a unique T cell subset that can be allogenically transferred for cancer treatment4,5—toward ovarian cancer.
