A recently published study(Xin et al.,Prog Biochem Biophys,2026,53(2):431-441.DOI:10.3724/j.pibb.2025.0508)addresses the therapeutic challenges of pancreatic ductal adenocarcinoma(PDAC)by innovatively developing an or...A recently published study(Xin et al.,Prog Biochem Biophys,2026,53(2):431-441.DOI:10.3724/j.pibb.2025.0508)addresses the therapeutic challenges of pancreatic ductal adenocarcinoma(PDAC)by innovatively developing an orally administered nanogene delivery system.Designed to achieve in situ,efficient delivery of chimeric antigen receptor(CAR)genes to tumor sites,this approach offers a novel strategy for CAR-macrophage(CAR-M)based immunotherapy.Its key highlights are as follows.展开更多
On the basis of harmonic mapping theory,a mobile grid technology is applied to computational fluid dynamics(CFD).Starting from the observation that standard fixed-grid techniques often fail in addressing problems with...On the basis of harmonic mapping theory,a mobile grid technology is applied to computational fluid dynamics(CFD).Starting from the observation that standard fixed-grid techniques often fail in addressing problems with large deformations,we elaborate a new algorithm relying on the software COMSOL Multiphysics 5.3a to solve the coupling of the mobile grid equation and the governing differential equations for fluid flow.The motion of water in a water tank when the tank waggles is simulated.We demonstrate that this technology can be implemented without a significant increase in the computational cost with respect to standard numerical methods.展开更多
Diatomic metasurfaces designed for interferometric mechanisms possess significant potential for the multidimensional manipulation of electromagnetic waves,including control over amplitude,phase,frequency,and polarizat...Diatomic metasurfaces designed for interferometric mechanisms possess significant potential for the multidimensional manipulation of electromagnetic waves,including control over amplitude,phase,frequency,and polarization.Geometric phase profiles with spin-selective properties are commonly associated with wavefront modulation,allowing the implementation of conjugate strategies within orthogonal circularly polarized channels.Simultaneous control of these characteristics in a single-layered diatomic metasurface will be an apparent technological extension.Here,spin-selective modulation of terahertz(THz)beams is realized by assembling a pair of meta-atoms with birefringent effects.The distinct modulation functions arise from geometric phase profiles characterized by multiple rotational properties,which introduce independent parametric factors that elucidate their physical significance.By arranging the key parameters,the proposed design strategy can be employed to realize independent amplitude and phase manipulation.A series of THz metasurface samples with specific modulation functions are characterized,experimentally demonstrating the accuracy of on-demand manipulation.This research paves the way for all-silicon meta-optics that may have great potential in imaging,sensing and detection.展开更多
BACKGROUND Esophageal carcinoma(EC)presents a significant public health issue in China,with its prognosis impacted by myriad factors.The creation of a reliable prog-nostic model for the overall survival(OS)of EC patie...BACKGROUND Esophageal carcinoma(EC)presents a significant public health issue in China,with its prognosis impacted by myriad factors.The creation of a reliable prog-nostic model for the overall survival(OS)of EC patients promises to greatly advance the customization of treatment approaches.AIM To create a more systematic and practical model that incorporates clinically significant indicators to support decision-making in clinical settings.METHODS This study utilized data from a prospective longitudinal cohort of 3127 EC patients treated at Chongqing University Cancer Hospital between January 1,2018,and December 12,2020.Utilizing the least absolute shrinkage and selection operator regression alongside multivariate Cox regression analyses helped pinpoint pertinent variables for constructing the model.Its efficacy was assessed by concordance index(C-index),area under the receiver operating characteristic curve(AUC),calibration curves,and decision curve analysis(DCA).RESULTS Nine variables were determined to be significant predictors of OS in EC patients:Body mass index(BMI),Karnofsky performance status,TNM stage,surgery,radiotherapy,chemotherapy,immunotherapy,platelet-to-lymphocyte ratio,and albumin-to-globulin ratio(ALB/GLB).The model demonstrated a C-index of 0.715(95%CI:0.701-0.729)in the training cohort and 0.711(95%CI:0.689-0.732)in the validation cohort.In the training cohort,AUCs for 1-year,3-year,and 5-year OS predictions were 0.773,0.787,and 0.750,respectively;in the validation cohort,they were 0.772,0.768,and 0.723,respectively,illustrating the model's precision.Calibration curves and DCA verified the model's predictive accuracy and net benefit.CONCLUSION A novel prognostic model for determining the OS of EC patients was successfully developed and validated to help clinicians in devising individualized treatment schemes for EC patients.展开更多
Theoretically,blue phosphorescent materials are capable of achieving 100%internal quantum effi-ciency.Nevertheless,the mutual constraints among efficiency,color purity,and stability remain one of the key bottlenecks i...Theoretically,blue phosphorescent materials are capable of achieving 100%internal quantum effi-ciency.Nevertheless,the mutual constraints among efficiency,color purity,and stability remain one of the key bottlenecks in the industrialization of organic light-emitting diodes(OLEDs).In addition,the design and application of host materials also exert a significant impact on the overall performance of blue light-emitting de-vices.To address this issue,this study constructs a series of host materials with high triplet energy levels by designing different connection modes,based on 9-phenylcarbazole and benzimidazole units.Through a combi-nation of theoretical and experimental approaches,the correlation between the chemical structure and perfor-mance has been unraveled.It is found that the designed and synthesized blue phosphorescent bipolar host ma-terials based on different biphenyl linking sites,i.e.,9-(3'-(1-phenyl-1H-benzo[d]imidazol-2-yl)-[1,1'-bi-phenyl]-3-yl)-9H-carbazole(mCzmBI),9-(2'-(1-phenyl-1H-benzo[d]imidazol-2-yl)-[1,1'-biphenyl]-3-yl)-9H-carbazole(mCzoBI)and 9-(3'-(1-phenyl-1H-benzo[d]imidazol-2-yl)-[1,1'-biphenyl]-2-yl)-9H-carbazole(oCzmBI).The three compounds have a similar triplet energy level of 2.70 eV,accompanied with the glass transition temperatures of 92℃,103℃,and 93℃respectively.mCzmBI,mCzoBI and oCzmBI are regioiso-mers,but differ in the linking sites of carbazole and benzimidazole on the biphenyl linker.This difference in linking positions enables effective regulation of the host materials’properties.Constructed with the blue phos-phorescent material bis(4,6-difluorophenylpyridinato-N,C2)picolinatoiridium(Ⅲ)(FIrpic)as the vip,the influence of the three hosts on device performance is clarified.Overall,the device using mCzmBI,a host linked by biphenyl at double meta-positions,achieved a maximum current efficiency of 24.9 cd·A^(-1)and a max-imum external quantum efficiency exceeding 12.8%,it also demonstrates low efficiency roll-off under highbrightness conditions.This work offers an effective strategy to the development of high-efficiency blue phospho-rescent hosts.展开更多
Two tetrasubstituted carbazole derivatives TBICz and TOXDCz have been designed and synthesized,which possess the twist skeletons and exhibit excellent thermal and morphological stabilities.Utilizing these novel compou...Two tetrasubstituted carbazole derivatives TBICz and TOXDCz have been designed and synthesized,which possess the twist skeletons and exhibit excellent thermal and morphological stabilities.Utilizing these novel compounds as host material,high efficiency solution-processed green phosphorescent organic light-emitting diodes(PhOLEDs)have been achieved.The high triplet energies of TBICz and TOXDCz ensure efficient energy transfer from the host to the phosphor and triplet exciton confinement on the phosphor.Solution-processable green phospho⁃rescent devices employing Ir(ppy)3 as vip and the two tetrasubstituted carbazole derivatives as hosts exhibit high ef⁃ficiencies.The best EL performance is achieved for the TBICz-based device,with a maximum current efficiency of 27.3 cd/A,a maximum power efficiency of 15.9 lm/W,and a maximum external quantum efficiency of 7.8%,which provides more host material options for solution-processed OLEDs.展开更多
In the past decade,immunotherapies targeting cytotoxic T-lymphocyte antigen-4(CTLA-4),programmed cell death 1(PD-1),and PD-1 ligand(PD-L1)have been approved for solid tumors.However,some patients demonstrate suboptima...In the past decade,immunotherapies targeting cytotoxic T-lymphocyte antigen-4(CTLA-4),programmed cell death 1(PD-1),and PD-1 ligand(PD-L1)have been approved for solid tumors.However,some patients demonstrate suboptimal clinical outcomes due to resistance.The tumor microenvironment(TME)significantly affects the efficiency of immunotherapy by mediating interactions between tumor and non-tumor cells,including dendritic cells,T cells,B cells,macrophages,neutrophils,NK cells,and myeloid-derived suppressor cells(MDSCs).These non-tumor cells often exhibit two phenotypes with altered functions,and tumor cells drives their transition towards tumor promotion through tumor-education.Tumor-educated cells(TECs)are cells influenced by tumor cells,which acquire immune-suppressive phenotypes and promote tumor progression through resistance to anticancer therapies.These cells undergo modifications in response to signals from the tumor,which can influence their roles in tumor progression.Their dynamic interactions with tumor cells contribute to the reshaping of the TME,facilitating cancer growth and immune modulation.This review summarizes research on TECs in TME,explores mechanisms related to tumor education,and discusses their role in tumor progression and immunotherapy resistance.Additionally,potential therapeutic approaches targeting these cells are also reviewed,which may complement current treatment strategies.展开更多
Gossypium raimondii(2n=2x=26,D_(5)),an untapped wild species,is the putative progenitor of the D-subgenome of G.hirsutum(2n=4x=52,AD_(1)),an extensively cultivated species.Here,we developed a G.hirsutum(recipient)–G....Gossypium raimondii(2n=2x=26,D_(5)),an untapped wild species,is the putative progenitor of the D-subgenome of G.hirsutum(2n=4x=52,AD_(1)),an extensively cultivated species.Here,we developed a G.hirsutum(recipient)–G.raimondii(donor)introgression population to exploit the favorable QTLs/genes and mapped potential quantitative trait loci(QTLs)from wild cotton species.The introgression population consisted of 256 lines with an introgression rate of 52.33%for the G.raimondii genome.The introgression segment length range was 0.03–19.12 Mb,with an average of 1.22 Mb.The coverage of total introgression fragments from G.raimondii was 386.98 Mb.Further genome-wide association analysis(Q+K+MLM)and QTL mapping(RSTEP-LRT)identified 59 common QTLs,including 14 stable QTLs and six common QTL(co-QTL)clusters,and one hotspot of micronaire(MIC).The common QTLs for seed index all showed positive additive effects,while the common QTLs for boll weight all had negative additive effects,indicating that the linkage between seed index and boll weight could be broken.QTLs for lint percentage showed positive effects and could be beneficial for improving cotton yield.Most QTLs for fiber quality had negative additive effects,implying these QTLs were domesticated/improved in G.hirsutum.A few fiber quality QTLs showed positive additive effects,so they could be used to improve cotton fiber quality.The introgression lines developed could be useful for molecular marker-assisted breeding and mapping QTLs precisely for mining desirable genes from the wild species G.raimondii.Such genes can improve cultivated cotton in the future through a designbreeding approach.展开更多
Feature selection methods rooted in rough sets confront two notable limitations:their high computa-tional complexity and sensitivity to noise,rendering them impractical for managing large-scale and noisy datasets.The ...Feature selection methods rooted in rough sets confront two notable limitations:their high computa-tional complexity and sensitivity to noise,rendering them impractical for managing large-scale and noisy datasets.The primary issue stems from these methods’undue reliance on all samples.To overcome these challenges,we introduce the concept of cross-similarity grounded in a robust fuzzy relation and design a rapid and robust feature selection algorithm.Firstly,we construct a robust fuzzy relation by introducing a truncation parameter.Then,based on this fuzzy relation,we propose the concept of cross-similarity,which emphasizes the sample-to-sample similarity relations that uniquely determine feature importance,rather than considering all such relations equally.After studying the manifestations and properties of cross-similarity across different fuzzy granularities,we propose a forward greedy feature selection algorithm that leverages cross-similarity as the foundation for information measurement.This algorithm significantly reduces the time complexity from O(m2n2)to O(mn2).Experimental findings reveal that the average runtime of five state-of-the-art comparison algorithms is roughly 3.7 times longer than our algorithm,while our algorithm achieves an average accuracy that surpasses those of the five comparison algorithms by approximately 3.52%.This underscores the effectiveness of our approach.This paper paves the way for applying feature selection algorithms grounded in fuzzy rough sets to large-scale gene datasets.展开更多
BACKGROUND Few studies have specifically modeled the risk of venous thromboembolism(VTE)for postoperative hepatocellular carcinoma(HCC)patients,although HCC is the third leading cause of cancer death worldwide.This st...BACKGROUND Few studies have specifically modeled the risk of venous thromboembolism(VTE)for postoperative hepatocellular carcinoma(HCC)patients,although HCC is the third leading cause of cancer death worldwide.This study aimed to develop and validate a nomogram that accurately predicts the risk of VTE in patients after HCC surgery.AIM To develop and validate a nomogram to accurately predict the risk of VTE in postoperative HCC patients by integrating clinical and laboratory risk factors.The model seeks to provide a user-friendly tool for identifying high-risk individuals who may benefit from targeted anticoagulation therapy,thereby improving clinical decision-making and patient outcomes.METHODS Data from patients who underwent HCC surgery at Chongqing University Cancer Hospital in China were analyzed.Through univariate and multivariate logistic regression analyses,independent risk factors for VTE were identified and integrated into a nomogram.The predictive performance of the nomogram was assessed via receiver operating characteristic curves,calibration curves,decision curve analysis and other relevant metrics.RESULTS Of 905 postoperative HCC patients were included in the study.The nomogram incorporated eight independent risk factors for VTE:Karnofsky Performance Scale,base disease,cancer stage(tumor-node-metastasis),chemotherapy,D-dimer concentration,white blood cell count,hemoglobin,and fibrinogen.The C-index for the nomogram model was 0.825 in the training cohort and 0.820 in the validation cohort,indicating good discriminative ability.Calibration plots of the model revealed high concordance between the predicted probabilities and observed outcomes.CONCLUSION We developed and validated a novel nomogram that can accurately estimate the risk of VTE in individual postoperative HCC patients.This model can identify high-risk patients who may benefit from targeted anticoagulation therapy.展开更多
To tackle the challenges of intractable parameter tun-ing,significant computational expenditure and imprecise model-driven sparse-based direction of arrival(DOA)estimation with array error(AE),this paper proposes a de...To tackle the challenges of intractable parameter tun-ing,significant computational expenditure and imprecise model-driven sparse-based direction of arrival(DOA)estimation with array error(AE),this paper proposes a deep unfolded amplitude-phase error self-calibration network.Firstly,a sparse-based DOA model with an array convex error restriction is established,which gets resolved via an alternating iterative minimization(AIM)algo-rithm.The algorithm is then unrolled to a deep network known as AE-AIM Network(AE-AIM-Net),where all parameters are opti-mized through multi-task learning using the constructed com-plete dataset.The results of the simulation and theoretical analy-sis suggest that the proposed unfolded network achieves lower computational costs compared to typical sparse recovery meth-ods.Furthermore,it maintains excellent estimation performance even in the presence of array magnitude-phase errors.展开更多
BACKGROUND Rectal cancer is prevalent and associated with substantial morbidity and mortality.AIM To develop a nomogram prediction model for overall survival(OS)in patients with rectal cancer by leveraging a comprehen...BACKGROUND Rectal cancer is prevalent and associated with substantial morbidity and mortality.AIM To develop a nomogram prediction model for overall survival(OS)in patients with rectal cancer by leveraging a comprehensive analysis of demographic,clinicopathological,haematological,and follow-up data to identify independent prognostic factors.METHODS We conducted a prospective cohort study in China involving rectal cancer patients and applied Cox regression and least absolute shrinkage and selection operator regression to assess the significance of various variables as independent prognostic factors for OS.The identified factors were integrated into a nomogram model,which was evaluated for predictive accuracy via the C-index,area under the curve(AUC),calibration curve,and decision curve analysis(DCA).RESULTS Multivariate analysis revealed independent predictors of OS,including the Karnofsky performance status,age,sex,TNM stage,chemotherapy,surgery,targeted therapy,β2-microglobulin,lactate dehydrogenase,and the neutrophil-to-lymphocyte ratio.The nomogram demonstrated a C-index of 0.80 for the training and validation cohorts,with AUC values indicating high predictive accuracy for 1-year,3-year,and 5-year OS.The calibration curves confirmed the model's excellent agreement with the observed survival rates,and DCA revealed the superior clinical utility of the nomogram over the TNM staging system.CONCLUSION In this study,a novel prognostic model that accurately predicts the OS of rectal cancer patients was developed.The model exhibited excellent discriminatory and calibration capabilities,thus offering a reliable tool for health care professionals to estimate patient survival.展开更多
Dynamically tunable terahertz(THz)beam focusing plays a critical role in emerging applications including reconfigurable imaging,localized spectral analysis,and micro-machining.Conventional methods,however,frequently e...Dynamically tunable terahertz(THz)beam focusing plays a critical role in emerging applications including reconfigurable imaging,localized spectral analysis,and micro-machining.Conventional methods,however,frequently employ complex wavefront modulators and external control algorithms,resulting in increased system footprint and limited tuning efficiency.In this work,we present an all-silicon mechanically rotatable cascaded metasurface capable of dynamic THz beam focusing.By independently adjusting the relative rotation angles between the two metasurface layers,real-time repositioning of the focal spot is achieved for orthogonal circular polarization channels.The proposed design facilitates polarization-division multiplexing without requiring external algorithms or active materials while preserving high focusing efficiency and beam quality across a predefined focal plane.Numerical simulations reveal a quasi-linear shift of the focal position with the rotation angle,with stable focusing efficiency and full-width at half-maximum observed in both polarization channels.This strategy offers an efficient and reliable approach to dynamic wavefront control for compact,reconfigurable THz imaging,sensing,and communication systems.展开更多
BACKGROUND Melanoma is a highly malignant tumor that has an extremely poor prognosis.It is the primary cause of death among cutaneous malignancies,accounting for 75%of such fatalities;approximately 325000 new cases an...BACKGROUND Melanoma is a highly malignant tumor that has an extremely poor prognosis.It is the primary cause of death among cutaneous malignancies,accounting for 75%of such fatalities;approximately 325000 new cases and 57000 deaths were reported worldwide in 2020.The main modalities for melanoma treatment include surgery,immunotherapy,targeted therapy,high-dose interferon,antitumor angiogenesis,chemotherapy,and radiotherapy.Due to China's special national conditions,the main pathological types and therapeutic effects are greatly different from those in Europe and the United States,so more studies are needed to determine the curative effects of such treatments in the Chinese population.AIM To explore their clinical characteristics,prognostic influencing factors and realworld data to provide a reference basis for further diagnosis and treatment.METHODS We collected pathological data from patients diagnosed with malignant melanoma in our hospital in recent years.Univariate analysis was conducted using the log-rank test,while multivariate analysis was performed with the Cox proportional hazard regression model.The survival rate was calculated using the Kaplan-Meier method.RESULTS The male-to-female patient ratio was 1.04:1.Among the clinical classifications,melanoma of the limb accounted for 47.56%of cases,followed by melanoma of the skin(18.18%)and mucosal melanoma(18.05%).The 5-year survival rates for stage I-II,stage III,and stage IV patients were 54.65%,37.88%,and 28.58%,respectively.Univariate analysis revealed that age,tumor stage,treatment mode,platelet count at the first visit,and lactate dehydrogenase(LDH)level were significantly related to patient survival.Patients with high LDH and high platelet counts exhibited significantly lower survival rates at 1 year,3 years,and 5 years.Multivariate analysis demonstrated that tumor stage,chemotherapy,interferon therapy,and LDH level were independent risk factors affecting patient survival and prognosis.Compared to the mortality rates of patients who did not receive chemotherapy or interferon therapy,those of patients who received chemotherapy and interferon therapy were 30.0%and 44.5%lower,respectively.Additionally,patients with elevated LDH levels were 2.27 times more likely to die than patients with normal LDH levels.CONCLUSION Melanoma is highly malignant,and its prognosis is influenced by numerous factors,resulting in an overall poor prognosis.This study identified several factors that impact patient prognosis,providing a foundation for individualized comprehensive treatment.展开更多
Natural gas is widely regarded as an efficient,relatively clean,and economically viable energy source.Its safe operation and continuous supply through pipeline infrastructure has led to its prominence in the energy se...Natural gas is widely regarded as an efficient,relatively clean,and economically viable energy source.Its safe operation and continuous supply through pipeline infrastructure has led to its prominence in the energy sector.Methanol plays an important role in the natural gas industry,typically serving as a solvent or hydrate inhibitor.Therefore,the accurate estimation of thermodynamic properties for methane/methanol binary is extremely important to optimise the operating parameter,maximise the dehydration effect,and reduce the cost.As the Helmholtz energy equation of state is expected to offer high accuracy in predicting the vapour-liquid equilibrium of methane/methanol binary,four reducing parameters were derived based on collected experimental data.Additionally,the sensitivities of various reducing parameter combinations were simultaneously investigated.The results demonstrated a strong agreement between predicted fractions and experimental data,with the UMADs(uncertainty-weighted mean absolute deviation)of 3.484 and 0.665 for liquid and vapour phases,respectively.Meanwhile,it is deemed“very likely”,“likely”,and“unlikely”to achieve acceptable prediction for 3-parameter optimisation,2-parameter optimisation and,1-parameter optimisation,respectively.展开更多
BACKGROUND Oesophageal cancer is a significant health concern worldwide,with high inci-dence and mortality rates.In China,the disease burden is particularly high,accounting for a substantial proportion of oesophageal ...BACKGROUND Oesophageal cancer is a significant health concern worldwide,with high inci-dence and mortality rates.In China,the disease burden is particularly high,accounting for a substantial proportion of oesophageal cancer cases and related deaths worldwide.AIM To explore the relationship between the mortality rate of oesophageal cancer patients and insurance type,out-of-pocket ratio,and the joint effects of insurance type and out-of-pocket ratio.METHODS The χ^(2) test was used to analyze patients’demographic and clinical characteristics.Multivariate logistic regression,the Cox proportional hazard model,and the competitive risk model were used to calculate the cumulative hazard ratios(HRs)of all-cause death and oesophageal cancer-specific death among patients with different types of insurance and out-of-pocket ratios.RESULTS Compared with patients covered by basic medical insurance for urban and rural residents,patients covered by urban employee basic medical insurance for urban workers(UEBMI)had a 23.30%increased risk of oesophageal cancer-specific death[HR=1.233,95%confidence interval(CI):1.093-1.391,P<0.005].Compared with patients in the low out-of-pocket ratio group,patients in the high out-of-pocket ratio group had a 25.80%reduction in the risk of oesophageal cancer-specific death(HR=0.742,95%CI:0.6555-0.84,P<0.005).With each 10%increase in the out-of-pocket ratio,the risk of oesophageal cancer-specific death decreased by 10.10%in patients covered by UEBMI.However,the risk of oesophageal cancer-specific death increased by 26.90%in patients in the high out-of-pocket ratio group.CONCLUSION This study reveals the relationships of the specific mortality rate of patients with oesophageal cancer with the out-of-pocket ratio and medical insurance types as well as their combined effects.This study provides practical suggestions and guidance for the formulation of relevant policies in this area.展开更多
BACKGROUND The prevalence and mortality rates of gastric carcinoma are disproportionately elevated in China,with the disease's intricate and varied characteristics further amplifying its health impact.Precise fore...BACKGROUND The prevalence and mortality rates of gastric carcinoma are disproportionately elevated in China,with the disease's intricate and varied characteristics further amplifying its health impact.Precise forecasting of overall survival(OS)is of paramount importance for the clinical management of individuals afflicted with this malignancy.AIM To develop and validate a nomogram model that provides precise gastric cancer prevention and treatment guidance and more accurate survival outcome prediction for patients with gastric carcinoma.METHODS Data analysis was conducted on samples collected from hospitalized gastric cancer patients between 2018 and 2020.Least absolute shrinkage and selection operator,univariate,and multivariate Cox regression analyses were employed to identify independent prognostic factors.A nomogram model was developed to predict gastric cancer patient outcomes.The model's predictability and discriminative ability were evaluated via receiver operating characteristic curves.To evaluate the clinical utility of the model,Kaplan-Meier and decision curve analyses were performed.RESULTS A total of ten independent prognostic factors were identified,including body mass index,tumor-node-metastasis(TNM)stage,radiation,chemotherapy,surgery,albumin,globulin,neutrophil count,lactate dehydrogenase,and platelet-to-lymphocyte ratio.The area under the curve(AUC)values for the 1-,3-,and 5-year survival prediction in the training set were 0.843,0.850,and 0.821,respectively.The AUC values were 0.864,0.820,and 0.786 for the 1-,3-,and 5-year survival prediction in the validation set,respectively.The model exhibited strong discriminative ability,with both the time AUC and time C-index exceeding 0.75.Compared with TNM staging,the model demonstrated superior clinical utility.Ultimately,a nomogram was developed via a web-based interface.CONCLUSION This study established and validated a novel nomogram model for predicting the OS of gastric cancer patients,which demonstrated strong predictive ability.Based on these findings,this model can aid clinicians in implementing personalized interventions for patients with gastric cancer.展开更多
Interactions among ecosystem services(ESs)are spatially heterogeneous,shaped by both stable(unidirectional)and unstable(context-dependent)influences of socio-economic development and climate change.These complexities ...Interactions among ecosystem services(ESs)are spatially heterogeneous,shaped by both stable(unidirectional)and unstable(context-dependent)influences of socio-economic development and climate change.These complexities pose significant challenges for spatially adaptive ecosystem management.Ecosystem service bundles(ESBs),as recurring combinations of ESs,offer a valuable framework to capture such interactions.Here,we proposed an integrated analytical framework that combines K-means clustering,the geographical detector(GD)model,and geographically and temporally weighted regression(GTWR)models to evaluate how socio-economic and climatic drivers influence ESBs across space and time.Using Hanshui River Basin(HRB)in central China as a case study,we quantified ES dynamics from 2000 to 2020,identified ESBs and stable and unstable effects of multiple drivers.The results showed that carbon sequestration(CS),water yield(WY),and aesthetic landscape(AL)increased by 32.80%,9.00%,and 7.34%,respectively,while soil retention(SR)and food supply(FS)declined by 8.38%and 5.36%.Five distinct ESBs were identified,namely ecologically fragile bundle(EFB),agricultural production bundle(APB),water supply bundle(WSB),forest ecological bundle(FEB),and ecological conservation bundle(ECB).Among these,FEB expanded to more than 35.75%of the HRB,and APB exhibited the sharpest decline(-28.64%).Land use intensity(LUI)was the primary driver of the spatial heterogeneity of ESBs,while synergistic and nonlinear interactions among multiple factors increasingly amplified their effects over time.Notably,annual precipitation(AP)emerged as the only stable basin-scale driver,consistently enhancing ES performance,while gross domestic product(GDP)and normalized difference vegetation index(NDVI)had stable yet spatially differentiated effects across bundles.Our findings highlight the significance of distinguishing stable/unstable driver effects on ES dynamics to inform regionally adaptive ecosystem governance.The proposed framework provides valuable insights into ES interactions,identify spatial priorities,and support policy interventions that balance ecological conservation with socio-economic development.展开更多
Objective:Neoadjuvant immunotherapy has demonstrated favorable efficacy in patients with resectable non-small cell lung cancer(NSCLC).However,its clinical application remains limited by the lack of reliable and non-in...Objective:Neoadjuvant immunotherapy has demonstrated favorable efficacy in patients with resectable non-small cell lung cancer(NSCLC).However,its clinical application remains limited by the lack of reliable and non-invasive biomarkers.Although existing histological biomarkers such as programmed death-ligand 1(PD-L1)and tumor mutation burden(TMB)can be used for reference,they rely on invasive sampling and are susceptible to tumor heterogeneity.This study evaluated a series of peripheral blood inflammation-related indicators,including neutrophil-to-lymphocyte ratio(NLR),lymphocyte-to-monocyte ratio(LMR),platelet-to-lymphocyte ratio(PLR),systemic immune-inflammation index(SII),and interleukin-6(IL-6),to explore their potential as non-invasive predictive and prognostic biomarkers for NSCLC.Furthermore,a prediction model based on the above indicators was constructed to provide a practical and feasible tool for optimizing individualized clinical management in patients with resectable NSCLC.Methods:A retrospective analysis was conducted on 144 patients with resectable(stageⅠB-ⅢB)NSCLC who underwent surgery after receiving neoadjuvant immunotherapy combined with chemotherapy at the Second Xiangya Hospital,Central South University,between 2019 and 2022.Peripheral blood-related indicators at baseline and before surgery were collected.Clinical data that might influence treatment efficacy were also recorded,including age,sex,body mass index,smoking history,pathological type,clinical stage,and use of immune checkpoint inhibitors.The relationships between peripheral blood inflammatory indicators(NLR,LMR,PLR,SII,and IL-6)and objective response rate(ORR),pathological complete response(pCR),major pathological response(MPR),and disease-free survival(DFS)were analyzed.Receiver operating characteristic(ROC)curves were used to determine optimal cutoff values for each indicator.A prediction model for the efficacy of neoadjuvant immunotherapy in NSCLC was constructed using least absolute shrinkage and selection operator(LASSO)regression combined with a multivariate Cox proportional hazards model.Results:The median age of included patients was 58 years,and 91.0%(131/144)were male.Among pathological types,squamous cell carcinoma accounted for 74.3%(107/144),adenocarcinoma for 22.9%(33/144),and other types for 4 cases.The overall ORR,pCR,and MPR rates were 69.2%,42.4%,and 61.5%,respectively.Univariate analysis showed that patients with squamous cell carcinoma had significantly higher ORR(P=0.007),pCR(P=0.027),and MPR(P=0.019).Lower baseline LMR was associated with a higher ORR.Elevated baseline PLR was significantly associated with pCR(P=0.014)and MPR(P=0.043).Increased baseline SII(P=0.015)and IL-6(P=0.043)were associated with higher MPR rates.Multivariate analysis showed that squamous cell carcinoma was an independent predictor of MPR(OR=7.34,95%CI 1.02 to 52.51,P=0.047),and lower baseline LMR was an independent predictor of ORR in NSCLC(OR=0.21,95%CI 0.05 to 0.92,cutoff value 3.12;P=0.04).Further survival analysis indicated that low baseline NLR(HR=0.363,P=0.014),low preoperative LMR(HR=0.260,P=0.018),and high preoperative SII(HR=0.278,P=0.003)significantly reduced the risk of DFS.A prediction model including 9 factors(age,pathological type,baseline NLR,baseline neutrophils,baseline IL-6,baseline monocytes,preoperative lymphocytes,preoperative SII,and preoperative LMR)was established for predicting the efficacy of neoadjuvant immunotherapy in NSCLC,with an AUC of 0.818.Conclusion:Neoadjuvant immunotherapy demonstrates favorable clinical efficacy in patients with NSCLC,particularly in those with squamous cell carcinoma.Meanwhile,peripheral blood inflammation-related indicators may serve as important biomarkers for predicting the efficacy and prognosis of neoadjuvant immunotherapy in NSCLC.展开更多
Brassica napus L. (B. napus), recognized as a significant cash and oil crop, faces challenges in popularization and application in northern China due to its limited cold resistance. Clarifying the mechanism of cold st...Brassica napus L. (B. napus), recognized as a significant cash and oil crop, faces challenges in popularization and application in northern China due to its limited cold resistance. Clarifying the mechanism of cold stress on gene regulation and signal transduction in B. napus is crucial. To address these issues, we conducted transcriptome sequencing and gene expression analysis, along with gene ontology (GO) and Kyoto encyclopedia of genes and genomes (KEGG) pathway profiling under natural (25℃) and cold (4℃) conditions in cold tolerant 16VHNTS309 and weak cold-resistant Tianyou 2238 B. napus seedlings. Enhanced genomic annotation was achieved through additional sequencing. A total of 6127 and 8531 differentially expressed genes (DEG) were identified in 16VHNTS309 and Tianyou 2238, respectively. The expression patterns of 23 DEGs were validated by quantitative real-time PCR (qRT-PCR), confirming the RNA-Seq results. Under cold stress, 58 pathways in 16VHNTS309 demonstrated significant changes (q-Value < 0.05), compared to 9 pathways in Tianyou 2238 (q-Value < 0.05), highlighting B. napus’ sophisticated regulatory network which aids in managing growth and development challenges. After 48 h of cold stress treatment, genes associated with reactive oxygen species (ROS) clearance, such as those involved in antioxidant VB6, sulfur metabolism, peroxisomes, and phagosomes, were notably up-regulated in 16VHNTS309, indicating its robust ROS clearance capability. Significant gene expressions within Ca^(2+), MAPK, and transcription factor pathways related to ROS suggest that varieties with strong cold resistance possess a complex signal regulation mechanism. Comprehensive analyses of stomatal cells, physiological parameters of ROS, ABA, and H2S, along with transcriptomic data, revealed that optimal ROS levels interact with ABA and H2S to regulate stomatal closure in B. napus 16VHNTS309 under the influence of antioxidant enzymes.展开更多
文摘A recently published study(Xin et al.,Prog Biochem Biophys,2026,53(2):431-441.DOI:10.3724/j.pibb.2025.0508)addresses the therapeutic challenges of pancreatic ductal adenocarcinoma(PDAC)by innovatively developing an orally administered nanogene delivery system.Designed to achieve in situ,efficient delivery of chimeric antigen receptor(CAR)genes to tumor sites,this approach offers a novel strategy for CAR-macrophage(CAR-M)based immunotherapy.Its key highlights are as follows.
基金by the National Natural Science Foundation of China(51808201).
文摘On the basis of harmonic mapping theory,a mobile grid technology is applied to computational fluid dynamics(CFD).Starting from the observation that standard fixed-grid techniques often fail in addressing problems with large deformations,we elaborate a new algorithm relying on the software COMSOL Multiphysics 5.3a to solve the coupling of the mobile grid equation and the governing differential equations for fluid flow.The motion of water in a water tank when the tank waggles is simulated.We demonstrate that this technology can be implemented without a significant increase in the computational cost with respect to standard numerical methods.
基金supports from National Key Research and Development Program of China(2021YFB2800703)Sichuan Province Science and Technology Support Program(25QNJJ2419)+1 种基金National Natural Science Foundation of China(U22A2008,12404484)Laoshan Laboratory Science and Technology Innovation Project(LSKJ202200801).
文摘Diatomic metasurfaces designed for interferometric mechanisms possess significant potential for the multidimensional manipulation of electromagnetic waves,including control over amplitude,phase,frequency,and polarization.Geometric phase profiles with spin-selective properties are commonly associated with wavefront modulation,allowing the implementation of conjugate strategies within orthogonal circularly polarized channels.Simultaneous control of these characteristics in a single-layered diatomic metasurface will be an apparent technological extension.Here,spin-selective modulation of terahertz(THz)beams is realized by assembling a pair of meta-atoms with birefringent effects.The distinct modulation functions arise from geometric phase profiles characterized by multiple rotational properties,which introduce independent parametric factors that elucidate their physical significance.By arranging the key parameters,the proposed design strategy can be employed to realize independent amplitude and phase manipulation.A series of THz metasurface samples with specific modulation functions are characterized,experimentally demonstrating the accuracy of on-demand manipulation.This research paves the way for all-silicon meta-optics that may have great potential in imaging,sensing and detection.
文摘BACKGROUND Esophageal carcinoma(EC)presents a significant public health issue in China,with its prognosis impacted by myriad factors.The creation of a reliable prog-nostic model for the overall survival(OS)of EC patients promises to greatly advance the customization of treatment approaches.AIM To create a more systematic and practical model that incorporates clinically significant indicators to support decision-making in clinical settings.METHODS This study utilized data from a prospective longitudinal cohort of 3127 EC patients treated at Chongqing University Cancer Hospital between January 1,2018,and December 12,2020.Utilizing the least absolute shrinkage and selection operator regression alongside multivariate Cox regression analyses helped pinpoint pertinent variables for constructing the model.Its efficacy was assessed by concordance index(C-index),area under the receiver operating characteristic curve(AUC),calibration curves,and decision curve analysis(DCA).RESULTS Nine variables were determined to be significant predictors of OS in EC patients:Body mass index(BMI),Karnofsky performance status,TNM stage,surgery,radiotherapy,chemotherapy,immunotherapy,platelet-to-lymphocyte ratio,and albumin-to-globulin ratio(ALB/GLB).The model demonstrated a C-index of 0.715(95%CI:0.701-0.729)in the training cohort and 0.711(95%CI:0.689-0.732)in the validation cohort.In the training cohort,AUCs for 1-year,3-year,and 5-year OS predictions were 0.773,0.787,and 0.750,respectively;in the validation cohort,they were 0.772,0.768,and 0.723,respectively,illustrating the model's precision.Calibration curves and DCA verified the model's predictive accuracy and net benefit.CONCLUSION A novel prognostic model for determining the OS of EC patients was successfully developed and validated to help clinicians in devising individualized treatment schemes for EC patients.
文摘Theoretically,blue phosphorescent materials are capable of achieving 100%internal quantum effi-ciency.Nevertheless,the mutual constraints among efficiency,color purity,and stability remain one of the key bottlenecks in the industrialization of organic light-emitting diodes(OLEDs).In addition,the design and application of host materials also exert a significant impact on the overall performance of blue light-emitting de-vices.To address this issue,this study constructs a series of host materials with high triplet energy levels by designing different connection modes,based on 9-phenylcarbazole and benzimidazole units.Through a combi-nation of theoretical and experimental approaches,the correlation between the chemical structure and perfor-mance has been unraveled.It is found that the designed and synthesized blue phosphorescent bipolar host ma-terials based on different biphenyl linking sites,i.e.,9-(3'-(1-phenyl-1H-benzo[d]imidazol-2-yl)-[1,1'-bi-phenyl]-3-yl)-9H-carbazole(mCzmBI),9-(2'-(1-phenyl-1H-benzo[d]imidazol-2-yl)-[1,1'-biphenyl]-3-yl)-9H-carbazole(mCzoBI)and 9-(3'-(1-phenyl-1H-benzo[d]imidazol-2-yl)-[1,1'-biphenyl]-2-yl)-9H-carbazole(oCzmBI).The three compounds have a similar triplet energy level of 2.70 eV,accompanied with the glass transition temperatures of 92℃,103℃,and 93℃respectively.mCzmBI,mCzoBI and oCzmBI are regioiso-mers,but differ in the linking sites of carbazole and benzimidazole on the biphenyl linker.This difference in linking positions enables effective regulation of the host materials’properties.Constructed with the blue phos-phorescent material bis(4,6-difluorophenylpyridinato-N,C2)picolinatoiridium(Ⅲ)(FIrpic)as the vip,the influence of the three hosts on device performance is clarified.Overall,the device using mCzmBI,a host linked by biphenyl at double meta-positions,achieved a maximum current efficiency of 24.9 cd·A^(-1)and a max-imum external quantum efficiency exceeding 12.8%,it also demonstrates low efficiency roll-off under highbrightness conditions.This work offers an effective strategy to the development of high-efficiency blue phospho-rescent hosts.
文摘Two tetrasubstituted carbazole derivatives TBICz and TOXDCz have been designed and synthesized,which possess the twist skeletons and exhibit excellent thermal and morphological stabilities.Utilizing these novel compounds as host material,high efficiency solution-processed green phosphorescent organic light-emitting diodes(PhOLEDs)have been achieved.The high triplet energies of TBICz and TOXDCz ensure efficient energy transfer from the host to the phosphor and triplet exciton confinement on the phosphor.Solution-processable green phospho⁃rescent devices employing Ir(ppy)3 as vip and the two tetrasubstituted carbazole derivatives as hosts exhibit high ef⁃ficiencies.The best EL performance is achieved for the TBICz-based device,with a maximum current efficiency of 27.3 cd/A,a maximum power efficiency of 15.9 lm/W,and a maximum external quantum efficiency of 7.8%,which provides more host material options for solution-processed OLEDs.
基金supported by the NIH/NCI grants(No.P01CA257907)the Educational Department of Hunan Province for Excellent Youth Scholars(No.23B0011)。
文摘In the past decade,immunotherapies targeting cytotoxic T-lymphocyte antigen-4(CTLA-4),programmed cell death 1(PD-1),and PD-1 ligand(PD-L1)have been approved for solid tumors.However,some patients demonstrate suboptimal clinical outcomes due to resistance.The tumor microenvironment(TME)significantly affects the efficiency of immunotherapy by mediating interactions between tumor and non-tumor cells,including dendritic cells,T cells,B cells,macrophages,neutrophils,NK cells,and myeloid-derived suppressor cells(MDSCs).These non-tumor cells often exhibit two phenotypes with altered functions,and tumor cells drives their transition towards tumor promotion through tumor-education.Tumor-educated cells(TECs)are cells influenced by tumor cells,which acquire immune-suppressive phenotypes and promote tumor progression through resistance to anticancer therapies.These cells undergo modifications in response to signals from the tumor,which can influence their roles in tumor progression.Their dynamic interactions with tumor cells contribute to the reshaping of the TME,facilitating cancer growth and immune modulation.This review summarizes research on TECs in TME,explores mechanisms related to tumor education,and discusses their role in tumor progression and immunotherapy resistance.Additionally,potential therapeutic approaches targeting these cells are also reviewed,which may complement current treatment strategies.
基金funded by the National Key Research and Development Program of China(2016YFD0100203 and 2016YFD0102000)the Key Scientific and Technological Projects of the Eighth Division of the Xinjiang Production and Construction Corps(XPCC),China(2024NY01,2023 NY09,2023 NY10)+2 种基金the Key Scientific and Technological Project of XPCC,China(2021AB010)the Postgraduate Research&Practice Innovation Program of Jiangsu Province,China(KYCX22_0748)supported by the High-performance Computing Platform of the Bioinformatics Center,Nanjing Agricultural University,China。
文摘Gossypium raimondii(2n=2x=26,D_(5)),an untapped wild species,is the putative progenitor of the D-subgenome of G.hirsutum(2n=4x=52,AD_(1)),an extensively cultivated species.Here,we developed a G.hirsutum(recipient)–G.raimondii(donor)introgression population to exploit the favorable QTLs/genes and mapped potential quantitative trait loci(QTLs)from wild cotton species.The introgression population consisted of 256 lines with an introgression rate of 52.33%for the G.raimondii genome.The introgression segment length range was 0.03–19.12 Mb,with an average of 1.22 Mb.The coverage of total introgression fragments from G.raimondii was 386.98 Mb.Further genome-wide association analysis(Q+K+MLM)and QTL mapping(RSTEP-LRT)identified 59 common QTLs,including 14 stable QTLs and six common QTL(co-QTL)clusters,and one hotspot of micronaire(MIC).The common QTLs for seed index all showed positive additive effects,while the common QTLs for boll weight all had negative additive effects,indicating that the linkage between seed index and boll weight could be broken.QTLs for lint percentage showed positive effects and could be beneficial for improving cotton yield.Most QTLs for fiber quality had negative additive effects,implying these QTLs were domesticated/improved in G.hirsutum.A few fiber quality QTLs showed positive additive effects,so they could be used to improve cotton fiber quality.The introgression lines developed could be useful for molecular marker-assisted breeding and mapping QTLs precisely for mining desirable genes from the wild species G.raimondii.Such genes can improve cultivated cotton in the future through a designbreeding approach.
基金supported by the Anhui Provincial Department of Education University Research Project(2024AH051375)Research Project of Chizhou University(CZ2022ZRZ06)+1 种基金Anhui Province Natural Science Research Project of Colleges and Universities(2024AH051368)Excellent Scientific Research and Innovation Team of Anhui Colleges(2022AH010098).
文摘Feature selection methods rooted in rough sets confront two notable limitations:their high computa-tional complexity and sensitivity to noise,rendering them impractical for managing large-scale and noisy datasets.The primary issue stems from these methods’undue reliance on all samples.To overcome these challenges,we introduce the concept of cross-similarity grounded in a robust fuzzy relation and design a rapid and robust feature selection algorithm.Firstly,we construct a robust fuzzy relation by introducing a truncation parameter.Then,based on this fuzzy relation,we propose the concept of cross-similarity,which emphasizes the sample-to-sample similarity relations that uniquely determine feature importance,rather than considering all such relations equally.After studying the manifestations and properties of cross-similarity across different fuzzy granularities,we propose a forward greedy feature selection algorithm that leverages cross-similarity as the foundation for information measurement.This algorithm significantly reduces the time complexity from O(m2n2)to O(mn2).Experimental findings reveal that the average runtime of five state-of-the-art comparison algorithms is roughly 3.7 times longer than our algorithm,while our algorithm achieves an average accuracy that surpasses those of the five comparison algorithms by approximately 3.52%.This underscores the effectiveness of our approach.This paper paves the way for applying feature selection algorithms grounded in fuzzy rough sets to large-scale gene datasets.
文摘BACKGROUND Few studies have specifically modeled the risk of venous thromboembolism(VTE)for postoperative hepatocellular carcinoma(HCC)patients,although HCC is the third leading cause of cancer death worldwide.This study aimed to develop and validate a nomogram that accurately predicts the risk of VTE in patients after HCC surgery.AIM To develop and validate a nomogram to accurately predict the risk of VTE in postoperative HCC patients by integrating clinical and laboratory risk factors.The model seeks to provide a user-friendly tool for identifying high-risk individuals who may benefit from targeted anticoagulation therapy,thereby improving clinical decision-making and patient outcomes.METHODS Data from patients who underwent HCC surgery at Chongqing University Cancer Hospital in China were analyzed.Through univariate and multivariate logistic regression analyses,independent risk factors for VTE were identified and integrated into a nomogram.The predictive performance of the nomogram was assessed via receiver operating characteristic curves,calibration curves,decision curve analysis and other relevant metrics.RESULTS Of 905 postoperative HCC patients were included in the study.The nomogram incorporated eight independent risk factors for VTE:Karnofsky Performance Scale,base disease,cancer stage(tumor-node-metastasis),chemotherapy,D-dimer concentration,white blood cell count,hemoglobin,and fibrinogen.The C-index for the nomogram model was 0.825 in the training cohort and 0.820 in the validation cohort,indicating good discriminative ability.Calibration plots of the model revealed high concordance between the predicted probabilities and observed outcomes.CONCLUSION We developed and validated a novel nomogram that can accurately estimate the risk of VTE in individual postoperative HCC patients.This model can identify high-risk patients who may benefit from targeted anticoagulation therapy.
基金supported by the National Natural Science Foundation of China(62301598).
文摘To tackle the challenges of intractable parameter tun-ing,significant computational expenditure and imprecise model-driven sparse-based direction of arrival(DOA)estimation with array error(AE),this paper proposes a deep unfolded amplitude-phase error self-calibration network.Firstly,a sparse-based DOA model with an array convex error restriction is established,which gets resolved via an alternating iterative minimization(AIM)algo-rithm.The algorithm is then unrolled to a deep network known as AE-AIM Network(AE-AIM-Net),where all parameters are opti-mized through multi-task learning using the constructed com-plete dataset.The results of the simulation and theoretical analy-sis suggest that the proposed unfolded network achieves lower computational costs compared to typical sparse recovery meth-ods.Furthermore,it maintains excellent estimation performance even in the presence of array magnitude-phase errors.
文摘BACKGROUND Rectal cancer is prevalent and associated with substantial morbidity and mortality.AIM To develop a nomogram prediction model for overall survival(OS)in patients with rectal cancer by leveraging a comprehensive analysis of demographic,clinicopathological,haematological,and follow-up data to identify independent prognostic factors.METHODS We conducted a prospective cohort study in China involving rectal cancer patients and applied Cox regression and least absolute shrinkage and selection operator regression to assess the significance of various variables as independent prognostic factors for OS.The identified factors were integrated into a nomogram model,which was evaluated for predictive accuracy via the C-index,area under the curve(AUC),calibration curve,and decision curve analysis(DCA).RESULTS Multivariate analysis revealed independent predictors of OS,including the Karnofsky performance status,age,sex,TNM stage,chemotherapy,surgery,targeted therapy,β2-microglobulin,lactate dehydrogenase,and the neutrophil-to-lymphocyte ratio.The nomogram demonstrated a C-index of 0.80 for the training and validation cohorts,with AUC values indicating high predictive accuracy for 1-year,3-year,and 5-year OS.The calibration curves confirmed the model's excellent agreement with the observed survival rates,and DCA revealed the superior clinical utility of the nomogram over the TNM staging system.CONCLUSION In this study,a novel prognostic model that accurately predicts the OS of rectal cancer patients was developed.The model exhibited excellent discriminatory and calibration capabilities,thus offering a reliable tool for health care professionals to estimate patient survival.
基金supported by the National Natural Science Foundation of China(Grants U22A2008,12404484,12464016,and 62405219)the Double First Class Joint Special Key Project of Yunnan Science and Technology Department and Yunnan University(Grant 202401BF070001-012)Sichuan Provincial Science and Technology Support Program(Grant 25QNJJ2419).
文摘Dynamically tunable terahertz(THz)beam focusing plays a critical role in emerging applications including reconfigurable imaging,localized spectral analysis,and micro-machining.Conventional methods,however,frequently employ complex wavefront modulators and external control algorithms,resulting in increased system footprint and limited tuning efficiency.In this work,we present an all-silicon mechanically rotatable cascaded metasurface capable of dynamic THz beam focusing.By independently adjusting the relative rotation angles between the two metasurface layers,real-time repositioning of the focal spot is achieved for orthogonal circular polarization channels.The proposed design facilitates polarization-division multiplexing without requiring external algorithms or active materials while preserving high focusing efficiency and beam quality across a predefined focal plane.Numerical simulations reveal a quasi-linear shift of the focal position with the rotation angle,with stable focusing efficiency and full-width at half-maximum observed in both polarization channels.This strategy offers an efficient and reliable approach to dynamic wavefront control for compact,reconfigurable THz imaging,sensing,and communication systems.
基金Supported by Natural Science Foundation of Chongqing,No.CSTB2023NSCQ-MSX0829.
文摘BACKGROUND Melanoma is a highly malignant tumor that has an extremely poor prognosis.It is the primary cause of death among cutaneous malignancies,accounting for 75%of such fatalities;approximately 325000 new cases and 57000 deaths were reported worldwide in 2020.The main modalities for melanoma treatment include surgery,immunotherapy,targeted therapy,high-dose interferon,antitumor angiogenesis,chemotherapy,and radiotherapy.Due to China's special national conditions,the main pathological types and therapeutic effects are greatly different from those in Europe and the United States,so more studies are needed to determine the curative effects of such treatments in the Chinese population.AIM To explore their clinical characteristics,prognostic influencing factors and realworld data to provide a reference basis for further diagnosis and treatment.METHODS We collected pathological data from patients diagnosed with malignant melanoma in our hospital in recent years.Univariate analysis was conducted using the log-rank test,while multivariate analysis was performed with the Cox proportional hazard regression model.The survival rate was calculated using the Kaplan-Meier method.RESULTS The male-to-female patient ratio was 1.04:1.Among the clinical classifications,melanoma of the limb accounted for 47.56%of cases,followed by melanoma of the skin(18.18%)and mucosal melanoma(18.05%).The 5-year survival rates for stage I-II,stage III,and stage IV patients were 54.65%,37.88%,and 28.58%,respectively.Univariate analysis revealed that age,tumor stage,treatment mode,platelet count at the first visit,and lactate dehydrogenase(LDH)level were significantly related to patient survival.Patients with high LDH and high platelet counts exhibited significantly lower survival rates at 1 year,3 years,and 5 years.Multivariate analysis demonstrated that tumor stage,chemotherapy,interferon therapy,and LDH level were independent risk factors affecting patient survival and prognosis.Compared to the mortality rates of patients who did not receive chemotherapy or interferon therapy,those of patients who received chemotherapy and interferon therapy were 30.0%and 44.5%lower,respectively.Additionally,patients with elevated LDH levels were 2.27 times more likely to die than patients with normal LDH levels.CONCLUSION Melanoma is highly malignant,and its prognosis is influenced by numerous factors,resulting in an overall poor prognosis.This study identified several factors that impact patient prognosis,providing a foundation for individualized comprehensive treatment.
基金supported financially by the National Natural Science Foundation of China(52202434)the National Natural Science Foundation of Ningbo(2023J275).
文摘Natural gas is widely regarded as an efficient,relatively clean,and economically viable energy source.Its safe operation and continuous supply through pipeline infrastructure has led to its prominence in the energy sector.Methanol plays an important role in the natural gas industry,typically serving as a solvent or hydrate inhibitor.Therefore,the accurate estimation of thermodynamic properties for methane/methanol binary is extremely important to optimise the operating parameter,maximise the dehydration effect,and reduce the cost.As the Helmholtz energy equation of state is expected to offer high accuracy in predicting the vapour-liquid equilibrium of methane/methanol binary,four reducing parameters were derived based on collected experimental data.Additionally,the sensitivities of various reducing parameter combinations were simultaneously investigated.The results demonstrated a strong agreement between predicted fractions and experimental data,with the UMADs(uncertainty-weighted mean absolute deviation)of 3.484 and 0.665 for liquid and vapour phases,respectively.Meanwhile,it is deemed“very likely”,“likely”,and“unlikely”to achieve acceptable prediction for 3-parameter optimisation,2-parameter optimisation and,1-parameter optimisation,respectively.
基金Supported by the Chongqing Science and Health Joint Medical Research Project,No.2024MSXM065.
文摘BACKGROUND Oesophageal cancer is a significant health concern worldwide,with high inci-dence and mortality rates.In China,the disease burden is particularly high,accounting for a substantial proportion of oesophageal cancer cases and related deaths worldwide.AIM To explore the relationship between the mortality rate of oesophageal cancer patients and insurance type,out-of-pocket ratio,and the joint effects of insurance type and out-of-pocket ratio.METHODS The χ^(2) test was used to analyze patients’demographic and clinical characteristics.Multivariate logistic regression,the Cox proportional hazard model,and the competitive risk model were used to calculate the cumulative hazard ratios(HRs)of all-cause death and oesophageal cancer-specific death among patients with different types of insurance and out-of-pocket ratios.RESULTS Compared with patients covered by basic medical insurance for urban and rural residents,patients covered by urban employee basic medical insurance for urban workers(UEBMI)had a 23.30%increased risk of oesophageal cancer-specific death[HR=1.233,95%confidence interval(CI):1.093-1.391,P<0.005].Compared with patients in the low out-of-pocket ratio group,patients in the high out-of-pocket ratio group had a 25.80%reduction in the risk of oesophageal cancer-specific death(HR=0.742,95%CI:0.6555-0.84,P<0.005).With each 10%increase in the out-of-pocket ratio,the risk of oesophageal cancer-specific death decreased by 10.10%in patients covered by UEBMI.However,the risk of oesophageal cancer-specific death increased by 26.90%in patients in the high out-of-pocket ratio group.CONCLUSION This study reveals the relationships of the specific mortality rate of patients with oesophageal cancer with the out-of-pocket ratio and medical insurance types as well as their combined effects.This study provides practical suggestions and guidance for the formulation of relevant policies in this area.
文摘BACKGROUND The prevalence and mortality rates of gastric carcinoma are disproportionately elevated in China,with the disease's intricate and varied characteristics further amplifying its health impact.Precise forecasting of overall survival(OS)is of paramount importance for the clinical management of individuals afflicted with this malignancy.AIM To develop and validate a nomogram model that provides precise gastric cancer prevention and treatment guidance and more accurate survival outcome prediction for patients with gastric carcinoma.METHODS Data analysis was conducted on samples collected from hospitalized gastric cancer patients between 2018 and 2020.Least absolute shrinkage and selection operator,univariate,and multivariate Cox regression analyses were employed to identify independent prognostic factors.A nomogram model was developed to predict gastric cancer patient outcomes.The model's predictability and discriminative ability were evaluated via receiver operating characteristic curves.To evaluate the clinical utility of the model,Kaplan-Meier and decision curve analyses were performed.RESULTS A total of ten independent prognostic factors were identified,including body mass index,tumor-node-metastasis(TNM)stage,radiation,chemotherapy,surgery,albumin,globulin,neutrophil count,lactate dehydrogenase,and platelet-to-lymphocyte ratio.The area under the curve(AUC)values for the 1-,3-,and 5-year survival prediction in the training set were 0.843,0.850,and 0.821,respectively.The AUC values were 0.864,0.820,and 0.786 for the 1-,3-,and 5-year survival prediction in the validation set,respectively.The model exhibited strong discriminative ability,with both the time AUC and time C-index exceeding 0.75.Compared with TNM staging,the model demonstrated superior clinical utility.Ultimately,a nomogram was developed via a web-based interface.CONCLUSION This study established and validated a novel nomogram model for predicting the OS of gastric cancer patients,which demonstrated strong predictive ability.Based on these findings,this model can aid clinicians in implementing personalized interventions for patients with gastric cancer.
基金Under the auspices of National Natural Science Foundation of China(No.42171414)。
文摘Interactions among ecosystem services(ESs)are spatially heterogeneous,shaped by both stable(unidirectional)and unstable(context-dependent)influences of socio-economic development and climate change.These complexities pose significant challenges for spatially adaptive ecosystem management.Ecosystem service bundles(ESBs),as recurring combinations of ESs,offer a valuable framework to capture such interactions.Here,we proposed an integrated analytical framework that combines K-means clustering,the geographical detector(GD)model,and geographically and temporally weighted regression(GTWR)models to evaluate how socio-economic and climatic drivers influence ESBs across space and time.Using Hanshui River Basin(HRB)in central China as a case study,we quantified ES dynamics from 2000 to 2020,identified ESBs and stable and unstable effects of multiple drivers.The results showed that carbon sequestration(CS),water yield(WY),and aesthetic landscape(AL)increased by 32.80%,9.00%,and 7.34%,respectively,while soil retention(SR)and food supply(FS)declined by 8.38%and 5.36%.Five distinct ESBs were identified,namely ecologically fragile bundle(EFB),agricultural production bundle(APB),water supply bundle(WSB),forest ecological bundle(FEB),and ecological conservation bundle(ECB).Among these,FEB expanded to more than 35.75%of the HRB,and APB exhibited the sharpest decline(-28.64%).Land use intensity(LUI)was the primary driver of the spatial heterogeneity of ESBs,while synergistic and nonlinear interactions among multiple factors increasingly amplified their effects over time.Notably,annual precipitation(AP)emerged as the only stable basin-scale driver,consistently enhancing ES performance,while gross domestic product(GDP)and normalized difference vegetation index(NDVI)had stable yet spatially differentiated effects across bundles.Our findings highlight the significance of distinguishing stable/unstable driver effects on ES dynamics to inform regionally adaptive ecosystem governance.The proposed framework provides valuable insights into ES interactions,identify spatial priorities,and support policy interventions that balance ecological conservation with socio-economic development.
基金supported by the Key Scientific Research Project of the Hunan Provincial Department of Science and Technology(2024PT5102)the Outstanding Youth Program under the Scientific Research Project of the Hunan Provincial Department of Education(23B0011)+1 种基金the Wu Jieping Medical Foundation(320.6750.2023-05-39)the Postgraduate Innovative Project of Central South University(2024XQLH151),China.
文摘Objective:Neoadjuvant immunotherapy has demonstrated favorable efficacy in patients with resectable non-small cell lung cancer(NSCLC).However,its clinical application remains limited by the lack of reliable and non-invasive biomarkers.Although existing histological biomarkers such as programmed death-ligand 1(PD-L1)and tumor mutation burden(TMB)can be used for reference,they rely on invasive sampling and are susceptible to tumor heterogeneity.This study evaluated a series of peripheral blood inflammation-related indicators,including neutrophil-to-lymphocyte ratio(NLR),lymphocyte-to-monocyte ratio(LMR),platelet-to-lymphocyte ratio(PLR),systemic immune-inflammation index(SII),and interleukin-6(IL-6),to explore their potential as non-invasive predictive and prognostic biomarkers for NSCLC.Furthermore,a prediction model based on the above indicators was constructed to provide a practical and feasible tool for optimizing individualized clinical management in patients with resectable NSCLC.Methods:A retrospective analysis was conducted on 144 patients with resectable(stageⅠB-ⅢB)NSCLC who underwent surgery after receiving neoadjuvant immunotherapy combined with chemotherapy at the Second Xiangya Hospital,Central South University,between 2019 and 2022.Peripheral blood-related indicators at baseline and before surgery were collected.Clinical data that might influence treatment efficacy were also recorded,including age,sex,body mass index,smoking history,pathological type,clinical stage,and use of immune checkpoint inhibitors.The relationships between peripheral blood inflammatory indicators(NLR,LMR,PLR,SII,and IL-6)and objective response rate(ORR),pathological complete response(pCR),major pathological response(MPR),and disease-free survival(DFS)were analyzed.Receiver operating characteristic(ROC)curves were used to determine optimal cutoff values for each indicator.A prediction model for the efficacy of neoadjuvant immunotherapy in NSCLC was constructed using least absolute shrinkage and selection operator(LASSO)regression combined with a multivariate Cox proportional hazards model.Results:The median age of included patients was 58 years,and 91.0%(131/144)were male.Among pathological types,squamous cell carcinoma accounted for 74.3%(107/144),adenocarcinoma for 22.9%(33/144),and other types for 4 cases.The overall ORR,pCR,and MPR rates were 69.2%,42.4%,and 61.5%,respectively.Univariate analysis showed that patients with squamous cell carcinoma had significantly higher ORR(P=0.007),pCR(P=0.027),and MPR(P=0.019).Lower baseline LMR was associated with a higher ORR.Elevated baseline PLR was significantly associated with pCR(P=0.014)and MPR(P=0.043).Increased baseline SII(P=0.015)and IL-6(P=0.043)were associated with higher MPR rates.Multivariate analysis showed that squamous cell carcinoma was an independent predictor of MPR(OR=7.34,95%CI 1.02 to 52.51,P=0.047),and lower baseline LMR was an independent predictor of ORR in NSCLC(OR=0.21,95%CI 0.05 to 0.92,cutoff value 3.12;P=0.04).Further survival analysis indicated that low baseline NLR(HR=0.363,P=0.014),low preoperative LMR(HR=0.260,P=0.018),and high preoperative SII(HR=0.278,P=0.003)significantly reduced the risk of DFS.A prediction model including 9 factors(age,pathological type,baseline NLR,baseline neutrophils,baseline IL-6,baseline monocytes,preoperative lymphocytes,preoperative SII,and preoperative LMR)was established for predicting the efficacy of neoadjuvant immunotherapy in NSCLC,with an AUC of 0.818.Conclusion:Neoadjuvant immunotherapy demonstrates favorable clinical efficacy in patients with NSCLC,particularly in those with squamous cell carcinoma.Meanwhile,peripheral blood inflammation-related indicators may serve as important biomarkers for predicting the efficacy and prognosis of neoadjuvant immunotherapy in NSCLC.
基金supported by the National Nature Science Foundation Regional Fund Project(32360455)QingyangCity Joint Research Fund Project—Major Project(QY-STK-2024A-046)+1 种基金Doctoral Foundation of Longdong University(XYBYZK2107)University Teachers Innovation Fund Project of Gansu Province(2025A-198).
文摘Brassica napus L. (B. napus), recognized as a significant cash and oil crop, faces challenges in popularization and application in northern China due to its limited cold resistance. Clarifying the mechanism of cold stress on gene regulation and signal transduction in B. napus is crucial. To address these issues, we conducted transcriptome sequencing and gene expression analysis, along with gene ontology (GO) and Kyoto encyclopedia of genes and genomes (KEGG) pathway profiling under natural (25℃) and cold (4℃) conditions in cold tolerant 16VHNTS309 and weak cold-resistant Tianyou 2238 B. napus seedlings. Enhanced genomic annotation was achieved through additional sequencing. A total of 6127 and 8531 differentially expressed genes (DEG) were identified in 16VHNTS309 and Tianyou 2238, respectively. The expression patterns of 23 DEGs were validated by quantitative real-time PCR (qRT-PCR), confirming the RNA-Seq results. Under cold stress, 58 pathways in 16VHNTS309 demonstrated significant changes (q-Value < 0.05), compared to 9 pathways in Tianyou 2238 (q-Value < 0.05), highlighting B. napus’ sophisticated regulatory network which aids in managing growth and development challenges. After 48 h of cold stress treatment, genes associated with reactive oxygen species (ROS) clearance, such as those involved in antioxidant VB6, sulfur metabolism, peroxisomes, and phagosomes, were notably up-regulated in 16VHNTS309, indicating its robust ROS clearance capability. Significant gene expressions within Ca^(2+), MAPK, and transcription factor pathways related to ROS suggest that varieties with strong cold resistance possess a complex signal regulation mechanism. Comprehensive analyses of stomatal cells, physiological parameters of ROS, ABA, and H2S, along with transcriptomic data, revealed that optimal ROS levels interact with ABA and H2S to regulate stomatal closure in B. napus 16VHNTS309 under the influence of antioxidant enzymes.
