The Xisha Islands accumulated significant amounts of phosphorus(P)due to seabird guano input.However,the seabird population has declined significantly in recent years as a result of climate change and human activities...The Xisha Islands accumulated significant amounts of phosphorus(P)due to seabird guano input.However,the seabird population has declined significantly in recent years as a result of climate change and human activities.As plant communities develop,significant amounts of organic matter and nitrogen were introduced into the soil through plant humus.To investigate the effects of different sources on the distribution of phosphorus fractions during the past~1000 years of ecological evolution,we conducted k-edge x-ray absorption near-edge structural spectroscopy(XANES),sequential extraction,and31P nuclear magnetic resonance(31P-NMR)of soil phosphorus in two ornithogenic soil profiles from the Xisha Islands.Combining these methods,the results revealed that magnesium-bound phosphorus(Mg-P)in modern guano underwent mineralization after deposition,and its content decreased by>50%.Subsequently,it may be released and combine with the abundant calcium-bearing minerals to transform into calcium-bound phosphorus(Ca-P).The results of XANES and sequential extraction indicated that Ca-P dominated the soil phosphorus pool by up to 70%–90%.The distributions of total organic carbon,total nitrogen,and total phosphorus in the soil profile are consistent with the evolutionary characteristics of nutrient supply from guano or plant humus during historical periods.In addition,although plant humus has lower total phosphorus content than guano,it may be an important source of organic phosphorus for topsoil.This study provides insights into the evolution of coral island ecosystems by examining phosphorus fractions and sources of phosphorus and offers valuable references for understanding nutrient cycling on tropical coral islands.展开更多
Objective:This study aimed to investigate the long-term auditory and speech outcomes of sequential bilateral cochlear implantation(BiCl)in children with cochlear nerve deficiency(CND).Methods:Sixteen CND children who ...Objective:This study aimed to investigate the long-term auditory and speech outcomes of sequential bilateral cochlear implantation(BiCl)in children with cochlear nerve deficiency(CND).Methods:Sixteen CND children who underwent sequential BiCI were retrospectively reviewed.Auditory and speech abilities were evaluated using questionnaire-based rating scales,including the Categories of Auditory Performance(CAP),the Infant-Toddler Meaningful Auditory Integration Scale(IT-MAIS),and the Speech Intelligibility Rating(SIR).Closed-set and open-set speech recognition abilities were also measured.Results:The first cochlear implantation(Cl)was performed at a median age of 12 months.The mean age at contralateral CI was 43 months,and the mean inter-implant interval time was 26 months.All patients showed continuous auditory and speech improvement over time.Of the sixteen patients,nine completed closed-set and/or open-set speech recognition assessments.After contralateral CI,all nine patients showed improved closed-set speech recognition scores.Four patients achieved closed-set test scores of more than 90% and open-set disyllable recognition scores ranging from 44 to 85%.In addition,two patients demonstrated better performance with bilateral CI than with unilateral CI.Conclusions:CND children showed favorable long-term auditory and speech outcomes after sequential BiCI,and some demonstrated bilateral benefit in speech perception.These findings suggest that BiCI may be a viable option for selected CND children.展开更多
This paper proposes a hybrid sequential second-order cone programming(HSSOCP)method with a three-layer scheme for the entry trajectory optimization of the cross-domain morphing vehicles(CDMVs).By defining the new morp...This paper proposes a hybrid sequential second-order cone programming(HSSOCP)method with a three-layer scheme for the entry trajectory optimization of the cross-domain morphing vehicles(CDMVs).By defining the new morphing rate control variable and using relaxation techniques to relax the bank angle constraint,the SOCP-based entry problem is constructed.A dynamic relaxation penal-ization technique is developed in the first layer to overcome artificial infeasibility and significantly enhance initialization robustness.A novel standard oscillation identification(SOI)method is proposed to precisely identify the iteration oscillations of basic SSOCP in the second layer,which can significantly improve the solution accuracy.A soft-trust-region strategy is applied in the third layer to eliminate oscillations and accelerate convergence.Simulation results of two scenarios demonstrate that the proposed SOI method effectively avoids non-standard oscillation interference versus traditional methods.The morphing aircraft can complete tasks better with a 7.01%and 10.43%reduction in heat load respectively compared to fixed-wing aircraft.The HSSOCP method can maintain accuracy while reducing computation time by 63.47%and 73.86%versus VATSSOCP.Monte Carlo simulations further validate the robustness.展开更多
This paper develops an Oscillation-avoidance-based Multistage Trust-region Sequential Convex Programming(OMTSCP)method for the highly nonlinear entry trajectory optimization problem of Cross-Domain Morphing Vehicles(C...This paper develops an Oscillation-avoidance-based Multistage Trust-region Sequential Convex Programming(OMTSCP)method for the highly nonlinear entry trajectory optimization problem of Cross-Domain Morphing Vehicles(CDMVs).The decoupling of states and controls for complex nonlinear dynamics is achieved by defining new control and state variables.A series of sub convex problems is formulated by successive linearization and discretization of the constraints.The proposed Trust-region Sequential Convex Programming(TSCP)scheme consists of three stages:an initial guess generation stage,a basic solution stage,and an optimal solution stage.An approach to penalize the dynamic relaxation is firstly developed to obtain an initial guess with considerable accuracy and significantly improve the robustness of the algorithm by overcoming the drawbacks of potential artificial infeasibility.The oscillation phenomenon of the TSCP method under rectangular trust region is then investigated,and a novel N-shape-based oscillation identification method is proposed to identify the oscillation accurately.Finally,an oscillation-avoidance method based on the sort trust-region is proposed to improve the convergence of the TSCP algorithm.Numerical comparisons of the proposed method and a typical TSCP method,as well as the morphing and fixed-morphing vehicles are provided to demonstrate the effectiveness and efficiency of the proposed method and the performance advantages of the morphing vehicle.The robustness of the method is further verified by Monte Carlo simulation.展开更多
Pancreatic ductal adenocarcinoma(PDAC)is among the deadliest solid tumors.Patients who develop PDAC with locally advanced pancreatic cancer(LAPC)or metastases have an especially poor prognosis1.Although there have bee...Pancreatic ductal adenocarcinoma(PDAC)is among the deadliest solid tumors.Patients who develop PDAC with locally advanced pancreatic cancer(LAPC)or metastases have an especially poor prognosis1.Although there have been improvements in systemic therapy,long-term disease control is uncommon and most patients progress within months after treatment has started2.展开更多
The rapid identification of γ-emitting radionuclides with low activity levels in public areas is crucial for nuclear safety.However,classical methods rely on full-energy peaks in the integral spectrum,requiring suffi...The rapid identification of γ-emitting radionuclides with low activity levels in public areas is crucial for nuclear safety.However,classical methods rely on full-energy peaks in the integral spectrum,requiring sufficient count accumulation for evaluation,thereby limiting response time.The sequential Bayesian approach,which utilizes prior information and considers both photon energies and interarrival times,can significantly enhance the performance of radionuclides identification.This study proposes a theoretical optimization method for the traditional sequential Bayesian approach.Each photon is processed sequentially,and the corresponding posterior probability is updated in real time using a noninformative prior from the Bayesian theory.By comparing the posterior probabilities of the background and radionuclides based on the energy variance and time interval,the type of γ-rays can be identified(background characteristic γ-rays,Compton plateaus γ-rays,or radionuclide-specific characteristic γ-rays).By integrating the information from these multiple characteristic γ-rays,the presence and type of radionuclides were determined based on the final decision function and a set threshold.Based on theoretical research,verification experiments were conducted using a LaBr3(Ce)detector in both low-and natural background radiation environments with typical radionuclides(137Cs,60Co,and 133Ba).The results show that this approach can identify 137Cs in 7.9 s and 8.5 s(source dose rate contribution:approximately 6.5×10−3μGy/h),60Co in 8.1 s and 9.8 s(approximately 4.8×10−2μGy/h),and 133Ba in 4.05 s and 5.99 s(approximately 3.4×10−2μGy/h)under low and natural background radiation,respectively,with a miss rate below 0.01%.This demonstrates the effectiveness of the proposed approach for fast radionuclides identification,even at low activity levels and highlights its potential for enhancing public safety in diverse radiation environments.展开更多
Metal-organic frameworks(MOFs)have emerged as promising ratiometric fluorescent thermometers owing to abundant luminescent units and ease of functionalization.However,they still face challenges such as the incompatibi...Metal-organic frameworks(MOFs)have emerged as promising ratiometric fluorescent thermometers owing to abundant luminescent units and ease of functionalization.However,they still face challenges such as the incompatibility of different luminescent centers and the instability of post-functionalized MOFs.Herein,we demonstrate a sequential installation strategy to decorate a robust Zr-MOF(PCN-700)with diverse luminescent units including organic molecules and rare earth ions.Through the coordination of 4,4'-(2,1,3-benzothiadiazole-4,7-diyl)bis[benzoic acid](BTDB)and 2,2'-bipyridine-5,5'-dicarboxylic acid(BPYDC)to unsaturated Zr sites in PCN-700,followed by chelation of Eu3+ions to BPYDC,the host-guest composites with programmable compositions were engineered.Crucially,the assembly sequence of BTDB,BPYDC and Eu3+dictates their spatial arrangement in PCN-700,and thus influences the temperature sensing performance.PCN-700-BTDB-BPYDC@Eu3+(7),assembled through sequential incorporation of luminescent units following a descending size order(BTDB>BPYDC>Eu3+),achieves the optimal temperature sensing performance.This configuration generates green fluorescence from BTDB and red fluorescence from Eu3+-chelated BPYDC,enabling dual-emission thermometry across the physiological temperature range(298-358 K)with good relative sensitivity(1.54%/K at 339 K)and excellent cyclability after five cycles.The work establishes a paradigm for spatially resolved multi-emitter integration in MOFs,advancing the design of stable optical rare earth-based sensors through high-precision host-guest engineering.展开更多
Supramolecular architectures exhibiting cascade energy transfer characteristics represent pivotal model systems for advancing biomimetic light-harvesting systems(LHS)that emulate the natural photosynthesis.To now,the ...Supramolecular architectures exhibiting cascade energy transfer characteristics represent pivotal model systems for advancing biomimetic light-harvesting systems(LHS)that emulate the natural photosynthesis.To now,the engineering of aqueous-phase artificial LHS with optimized energy transfer cascades is still a challenge.In this study,we designed and synthesized two tetraphenylethylene(TPE)-based macrocyclic compounds(namely TPE-1 and TPE-2)with different cavity sizes as supramolecular scaffolds to study their energy transfer behaviors.As a control model,a linear molecule TPE-3 was also prepared.The bigger-cavity macrocycle TPE-1 can emit green fluorescence and self-assemble into nanospherical structures in aqueous media,acting as an energy donor.Through self-assembly with eosin Y(EY)and a red-emitting fluorophore(TPE-Se),a sequential Förster resonance energy transfer(FRET)cascade:TPE-1→EY→TPE-Se was achieved thanks to their excellent spectral overlap and proximity between the donor and acceptors.The optimized ternary system(TPE-1/EY/TPE-Se)with a ratio of 1000:90:60 afforded a high energy transfer efficiency(ΦET)of 95%.Then,the artificial LHS platform catalyzed the oxidative coupling of benzylamines with 93%yield in aqueous media.Moreover,the system demonstrated broad catalytic utility oxidation reactions,the good conversion of methylthiobenzyl ester to methylbenzene sulfoxide and the aerobic cross-dehydrogenation coupling reaction of N-phenyltetrahydroisoquinoline with indole.These results robustly demonstrate the promising potential of this artificial LHS in the field of aqueous photocatalysis.展开更多
We propose a sequential noise-boosted M-estimation algorithm for estimating system parameters in environments characterized by impulsive(heavy-tailed)noise.This algorithm extends the conventional M-estimation framewor...We propose a sequential noise-boosted M-estimation algorithm for estimating system parameters in environments characterized by impulsive(heavy-tailed)noise.This algorithm extends the conventional M-estimation framework by strategically injecting artificial noise into the observations,thereby facilitating the estimation procedure and ensuring convergence to the desired estimator.A fundamental criterion theorem is established to determine the conditions under which injecting scale-family noise enhances the efficacy of the M-estimator in heavy-tailed background noise.For cases where noise injection is beneficial,it is rigorously proved that the sequential noise-boosted M-estimation algorithm converges with probability one.Experimental results demonstrate that the proposed algorithm outperforms traditional M-estimation methods,both under a given injected noise intensity and when the noise injection is adaptively optimized via Bayesian optimization.Furthermore,it is observed that the proposed algorithm can asymptotically achieve the performance of the maximum likelihood estimator(MLE)for system parameter estimation.展开更多
Recommendation systems are key to boosting user engagement,satisfaction,and retention,particularly on media platforms where personalized content is vital.Sequential recommendation systems learn from user-item interact...Recommendation systems are key to boosting user engagement,satisfaction,and retention,particularly on media platforms where personalized content is vital.Sequential recommendation systems learn from user-item interactions to predict future items of interest.However,many current methods rely on unique user and item IDs,limiting their ability to represent users and items effectively,especially in zero-shot learning scenarios where training data is scarce.With the rapid development of Large Language Models(LLMs),researchers are exploring their potential to enhance recommendation systems.However,there is a semantic gap between the linguistic semantics of LLMs and the collaborative semantics of recommendation systems,where items are typically indexed by IDs.Moreover,most research focuses on item representations,neglecting personalized user modeling.To address these issues,we propose a sequential recommendation framework using LLMs,called CIT-Rec,a model that integrates Collaborative semantics for user representation and Image and Text information for item representation to enhance Recommendations.Specifically,by aligning intuitive image information with text containing semantic features,we can more accurately represent items,improving item representation quality.We focus not only on item representations but also on user representations.To more precisely capture users’personalized preferences,we use traditional sequential recommendation models to train on users’historical interaction data,effectively capturing behavioral patterns.Finally,by combining LLMs and traditional sequential recommendation models,we allow the LLM to understand linguistic semantics while capturing collaborative semantics.Extensive evaluations on real-world datasets show that our model outperforms baseline methods,effectively combining user interaction history with item visual and textual modalities to provide personalized recommendations.展开更多
Tradescantia zebrina is a leafy vegetable with potential as a functional food ingredient,but its optimal extraction and gastrointestinal(GI)stability require investigation.This study aimed to optimize phytochemical ex...Tradescantia zebrina is a leafy vegetable with potential as a functional food ingredient,but its optimal extraction and gastrointestinal(GI)stability require investigation.This study aimed to optimize phytochemical extraction from T.zebrina leaves using hot water extraction(HWE),ultrasound-assisted extraction(UAE),and sequential hybrid methods(UAE+HWE,HWE+UAE),and then evaluated the GI stability of the optimized extract using the INFOGEST model.Among nine extraction treatments,the sequential UAE-20 min followed by HWE-15 min(UAE-20+HWE-15)yielded the highest total phenolic content(TPC,8.11 mg GAE/g)and flavonoid content(TFC,63 mg QE/g),along with the strongest antioxidant activities:2,2-diphenyl-1-picrylhydrazyl(DPPH·)and 2,2′-azino-bis(3-ethylbenzothiazoline-6-sulphonic acid)radical cation(ABTS·+)scavenging,and Ferric reducing antioxidant power(FRAP).TPC and TFC correlated strongly with antioxidant parameters,while anthocyanin contents did not.Post-digestion analysis of the optimized extract,following solid-phase extraction cleanup,revealed marked reductions in the phenolic and flavonoid content(to 3.28 mg GAE/g and 6.44 mg QE/g,respectively)and a corresponding decline in DPPH·,ABTS·+,and H2O2scavenging activities,FRAP,and anti-inflammatory(albumin denaturation inhibition)activities.Nitric oxide scavenging activity was nearly lost.These findings indicate that while the UAE-20+HWE-15 method is optimal for extraction,the resulting bioactive compounds showed limited stability under simulated GI conditions,highlighting the need for strategies to preserve their activity for functional food applications.This highlights the need for protective strategies,like encapsulation,to preserve its efficacy for functional food applications.展开更多
As software applications grow increasingly large and complex,traditional code vulnerability detection methods struggle with performance and efficiency.Although code visualization-based algorithms have demonstrated eff...As software applications grow increasingly large and complex,traditional code vulnerability detection methods struggle with performance and efficiency.Although code visualization-based algorithms have demonstrated effectiveness in capturing sparse features and complex workflows in large-scale source code,their capacity to extract global semantic information and intricate long-range dependencies remains limited.Recent large language model(LLM)-based approaches have shown promising accuracy by leveraging rich contextual information,but their high computational cost often limits practical efficiency.To address these challenges,we propose VulSCP,a new framework that integrates sequential convolution with a parallel attention mechanism.Specifically,VulSCP first constructs a semantically weighted graph from the source code,then employs sequential convolution to extract local vulnerability-related features,and finally enhances the global feature representation through parallel attention.Experimental results on large-scale C/C++function-level datasets show that VulSCP achieves an accuracy of 85.14%and a false positive rate of 17.25%,outperforming the best baseline in accuracy by 1.73 percentage points and reducing the false positive rate by 3.38 percentage points.Moreover,while maintaining high detection accuracy,VulSCP achieves a low average inference time of 1.89 s per sample,showing favorable efficiency compared with the evaluated LLM-based methods.These results suggest that VulSCP is a promising approach for vulnerability detection in large and complex software systems,offering a favorable balance between accuracy and efficiency.The source code of VulSCP is publicly available at http://gffzz188fe103f8f1460asf6k6uqpkoux0656b.ffgz.tsg.suse.edu.cn/Hwzx-ZeL/VulSCP.展开更多
Based on simulations using the Regional Ocean Modeling System,this study investigates the impact of two sequential Typhoons Nesat and Nalgae(2011)on the subsurface thermal structure(30–150 m)of the northern South Chi...Based on simulations using the Regional Ocean Modeling System,this study investigates the impact of two sequential Typhoons Nesat and Nalgae(2011)on the subsurface thermal structure(30–150 m)of the northern South China Sea.Our findings indicate significant subsurface cooling along and on both sides of the typhoon track,with the most pronounced temperature decreases occurring to the right.The largest heat changes were observed during the first nearinertial period after the passage of each typhoon,with the overall heat loss induced by both being roughly comparable.The two typhoons,however,influenced the subsurface layer through distinct mechanisms.Typhoon Nesat induced strong vertical mixing that began to regulate the subsurface layer even prior to its arrival,primarily causing subsurface warming—an effect that dissipated rapidly after the typhoon passed.The intensity of this mixing was strongest along the track,weaker to the right,and weakest to the left.In contrast,Typhoon Nalgae did not generate marked vertical mixing.Both typhoons triggered strong vertical advection,which led to subsurface cooling and served as the dominant control on subsurface temperature changes.The intensity of vertical advection showed minimal variation along the track and on either side.Due to the preconditioning by Typhoon Nesat and the combined influence of the two typhoons,vertical advection was more pronounced during the passage of Nalgae and persisted after the typhoons had passed.Although horizontal advection was relatively weak,it contributed to subsurface warming during the post-typhoon recovery phase,whereas the effect of horizontal mixing was negligible.展开更多
We consider the well-studied sequential posted pricing scenarios.In these scenarios,an auctioneer typically learns the value distributions of all agents as prior information and then offers a take-it-or-leave-it price...We consider the well-studied sequential posted pricing scenarios.In these scenarios,an auctioneer typically learns the value distributions of all agents as prior information and then offers a take-it-or-leave-it price to each sequentially coming agent.If the value distributions are correctly learned,the dominant strategy of each agent is telling the truth.However,an agent could manipulate her value distribution to exploit the auctioneer.We study the behavior of sophisticated agents predicted by two prominent bounded rationality models:the level-k and the cognitive hierarchy models.We begin with analyzing the structure of the optimal reported distributions and then provide algorithms to compute the optimal distributions for each model.In the continuous scenarios,we show that both models are ill-defined by some examples.Moreover,we evaluate both models in discrete scenarios with different numbers of agents,different minimum units of the values,and different risk tolerances.The empirical results and a brief discussion about the Bayesian Nash equilibrium of the experimental scenarios show that both the level-k model and the equilibrium suggest the highest possible prices.In contrast,the cognitive hierarchy model suggests low prices.The level-k model and the equilibrium somehow explain the“winner’s curse”in online markets.The models and the equilibrium fail to explain that the same item could have different prices in different shops.To explain the different-price phenomenon,we suggest trying other bounded rationality models for agents and/or considering the auctioneers with bounded rationality.展开更多
BACKGROUND Acute pyelonephritis(APN)is a significant part of the healthcare burden globally.Early risk stratification in APN is crucial to guide intensive care unit(ICU)admission and anticipate in-hospital mortality.T...BACKGROUND Acute pyelonephritis(APN)is a significant part of the healthcare burden globally.Early risk stratification in APN is crucial to guide intensive care unit(ICU)admission and anticipate in-hospital mortality.The relevance of scoring tools like quick Sequential Organ Failure Assessment(qSOFA)and National Early Warning Score 2(NEWS2)in urology-specific infections has been unclear.Our study is among the first to prospectively compare the qSOFA and NEWS2 scores exclusively in non-emphysematous APN,a real-world cohort previously overlooked in research.AIM To assess the accuracy of NEWS2 and qSOFA scores in predicting ICU admission,in-hospital mortality and their role in guiding urological interventions among adults with APN.METHODS A prospective observational study,conducted at a tertiary care centre in South India over two years,on adult patients diagnosed clinically and radiologically with APN.Comprehensive clinical,laboratory,and imaging parameters were recorded.The cohort was stratified into patients requiring ICU and not requiring ICU to assess differences across parameters.The discriminative power of the NEWS2 and qSOFA scores for predicting expedited care and mortality was analyzed.RESULTS The NEWS2 score≥5 emerged as a robust tool,identifying nearly all patients requiring ICU admission[sensitivity,98.1%;area under the receiver operating characteristic curve(AUC):0.977;P<0.05]and predicting intervention with high accuracy(AUC-0.823;P<0.05).However,the qSOFA≥2 score proved to be the silent sentinel of mortality(AUC-0.839;P<0.05),outperforming the NEWS2 score in prognostication.Interestingly,patients who later required ICU care had elevated NEWS2 scores at baseline,suggesting the missed early red flags.To the best of our knowledge,this is the first and largest prospective study to compare NEWS2 and qSOFA scores exclusively in nonobstructive,non-emphysematous APN.CONCLUSION In APN,NEWS2(≥5)proved to be a pragmatic trigger for ICU triage,while qSOFA(≥2)better flagged in-hospital mortality.Together,they form a complementary framework as a simple,objective,and lifesaving bedside tool.展开更多
The probabilistic stability evolution analysis of reservoir bank slopes is a crucial aspect of risk assessment,with core challenges including the consideration of deformation mechanisms and accurate determination of m...The probabilistic stability evolution analysis of reservoir bank slopes is a crucial aspect of risk assessment,with core challenges including the consideration of deformation mechanisms and accurate determination of mechanical parameters.In this study,a novel time-varying reliability analysis framework based on sequential Bayesian updating of mechanical parameters is proposed.The inverse parameters account for damage time-dependent behavior,incorporating water effect and a strain-driven softening-hardening process that depends on sliding states.The likelihood function is enhanced to simultaneously consider observation error,surrogate model prediction error,and model structural error,with the introduction of physical penalty.Exploration of the high-dimensional parameter space is achieved via the Hamiltonian Monte Carlo(HMC)method and the physics knowledge-based time-dependent deformation surrogate model.The time-varying reliability analysis of the slope is performed using the multi-grid method.Taking a reservoir bank slope as a case study,the sequential updating of 12 mechanical parameters is conducted based on deformation time series from 16 monitoring points,thereby validating the proposed framework.The results indicate that the proposed framework effectively captures the posterior distribution of mechanical parameters,with the case slope remaining in a critically stable state after overall sliding,showing a high failure probability.Introducing model structural error can reduce parameter compensation,and a reasonable sequential updating step size can improve inversion accuracy.展开更多
BACKGROUND Sepsis causes significant mortality in patients.Typically,the Sequential Organ Failure Assessment(SOFA)score is used;however,recent studies have demonstrated improved predictive accuracy by using inflammato...BACKGROUND Sepsis causes significant mortality in patients.Typically,the Sequential Organ Failure Assessment(SOFA)score is used;however,recent studies have demonstrated improved predictive accuracy by using inflammatory biomarkers such as serum ferritin and the neutrophil-to-lymphocyte ratio(NLR).Serum ferritin,although traditionally associated with iron metabolism,also acts as an acute-phase reactant reflecting systemic inflammation.AIM To assess the prognostic value of integrating ferritin and NLR with SOFA in predicting mortality in critically ill patients with sepsis.METHODS Medical Information Mart for Intensive Care database-IV database was used to conduct this retrospective cohort study.Patients were divided into quartiles based on values of serum ferritin and NLR.Cox proportional hazards regression asse ssed the association with 30-day mortality,adjusted for age,sex,and the Charlson comorbidity index.Model performance was evaluated using the area under the receiver operating characteristic curve(AUROC),calibration plot,and net reclassification index(NRI).Bootstrapped internal validation was performed using 1000 resamples.RESULTS Patients in the ferritin Q1 quartile(lowest ferritin quartile)had 30%lower adjusted mortality risk(hazard ratio[HR]:0.71,95%confidence interval[CI]:0.57-0.9;P=0.005)compared to Q3(highest ferritin quartile).Similarly,NLR Q1(lowest NLR quartile)had 27%lower adjusted mortality risk(HR:0.73,95%CI:0.59-0.91;P=0.006).Moreover,patients with both serum ferritin and NLR in the Q1(lowest)quartile had the lowest risk of mortality(HR:0.56,95%CI:0.42-0.74;P<0.001).With biomarker integration,the AUROC improved from 0.602(95%CI:0.574-0.630)for SOFA alone to 0.656(0.629-0.683;P<0.001),primarily driven by ferritin.NRI demonstrated a modest but significant improvement in reclassification.Old age was also found to be associated with a higher risk of mortality.CONCLUSION Lower ferritin and NLR are associated with reduced 30-day mortality,with ferritin markedly improving SOFAbased prediction and NLR offering minimal added benefit.Accessible biomarkers enhance early risk assessment in low-resource intensive care units.展开更多
Existing graph-enhanced sequential recommendation methods typically adopt a unidirectional information flow,in which graph embeddings are injected into the sequential encoder only at the input stage,after which the gr...Existing graph-enhanced sequential recommendation methods typically adopt a unidirectional information flow,in which graph embeddings are injected into the sequential encoder only at the input stage,after which the graph signal is progressively diluted through multiple layers of deep processing.In this paper,the graph signal dilution phenomenon is analyzed systematically across three levels—the input,representation,and prediction layers—and the GSPRec model is proposed to address this issue.The core of GSPRec is the Graph-Sequence Collaborative Injection(GSCI)module,comprising three lightweight components:the Graph Confidence Gate(GCG)controls GCN smoothing via dimension-wise bounded interpolation;the Graph Residual Aggregation(GRA)restores diluted signals through a graph skip connection;and the Graph Collaborative Prediction(GCP)injects collaborative signals into prediction scores via a de-meaned shortcut.GSCI introduces only 194 learnable parameters in total and is equipped with a zero-damage initialization guarantee.The sequential encoder is further enhanced with independent dual Mamba instances and an adaptive path router.Experiments on four benchmark datasets—Food,Movie,Book,and Douban—demonstrate that GSPRec outperforms eight baselines across all 16 evaluation metrics,with relative improvements of 0.61%-3.16%over the strongest baseline and less than 4%additional training time.A layer-wise probing analysis directly confirms that the graph signal is diluted within the sequential encoder and that the GSCI components counteract this loss,while the learned injection strengths adapt across datasets.展开更多
BACKGROUND Despite therapeutic advances,outcomes in hepatocellular carcinoma(HCC)remain suboptimal,underscoring the need to explore more effective treatment strategies.AIM To compare efficacy and prognosis in HCC pati...BACKGROUND Despite therapeutic advances,outcomes in hepatocellular carcinoma(HCC)remain suboptimal,underscoring the need to explore more effective treatment strategies.AIM To compare efficacy and prognosis in HCC patients treated with synchronous vs sequential transcatheter arterial chemoembolization(TACE)and microwave ablation(MWA).METHODS A total of 106 patients with HCC admitted between March 2022 and March 2024 were included.Patients receiving concurrent TACE and MWA constituted the synchronous group(n=56),while those treated with TACE followed by MWA formed the sequential group(n=50).Intergroup comparisons encompassed curative efficacy,ablation-related parameters(number of needle insertions,ablation duration,and power),prognostic indicators(progression-free survival and overall survival),tumor biomarkers[alpha-fetoprotein(AFP),AFP-L3],hepatic function indices[total bilirubin(TBIL),alanine aminotransferase(ALT),aspartate aminotransferase(AST)],and post-procedural complications(pyrexia,abdominal pain,and gastrointestinal reactions).RESULTS No significant intergroup differences were observed in curative efficacy,ablation power,prognosis,or overall complication rates(P>0.05).However,the synchronous group required fewer ablation needles and shorter ablation durations than the sequential group(P0.05).CONCLUSION Synchronous TACE combined with MWA is non-inferior to the sequential approach regarding therapeutic efficacy,survival outcomes,safety,and tumor control in HCC.Notably,the synchronous strategy offers procedural advantages by reducing ablation attempts and shortening treatment duration.展开更多
Background Acute kidney injury(AKI)is a common and serious complication following coronary revascular-ization,contributing significantly to poor outcomes in critically ill surgical patients.The Sequential Organ Failur...Background Acute kidney injury(AKI)is a common and serious complication following coronary revascular-ization,contributing significantly to poor outcomes in critically ill surgical patients.The Sequential Organ Failure Assessment(SOFA)score is a widely utilized clinical tool for evaluating the severity of organ failure in critically ill patients and assessing their condition and prognosis in the intensive care unit(ICU).This study aimed to investi-gate the association between SOFA and the risk of AKI in elderly patients who underwent coronary artery bypass grafting.Methods In this secondary retrospective cohort study,data of elderly patients(aged>65 years)who un-derwent coronary artery bypass grafting were extracted from the Medical Information Mart for Intensive Care(MIMIC)-Ⅳdatabase(2008-2019).The outcome was the occurrence of AKI after ICU admission.The study popu-lation was divided into tertiles based on the SOFA score(low:SOFA≤3;middle:4.0≤SOFA≤5.0;high:SOFA≥6).Univariate and multivariate logistic regression models were performed to assess the association between the SOFA score and the odds of AKI in elderly patients undergoing coronary artery bypass grafting(CABG).The results were presented as odds ratios(ORs)with 95%confidence intervals(CI).Subgroup analyses of gender,age,race,medical insurance,marital status,diabetes,renal disease,chronic pulmonary disease,cerebrovascular disease and peripheral vascular disease were performed to further explore the association of SOFA with AKI.Results A total of 2,142 el-derly patients who underwent CABG were included in this study.When analyzed as a continuous variable,each unit increment in SOFA was associated with a 10%increase in AKI risk(adjusted OR:1.10,95%CI:1.05-1.15,P<0.0001).In addition,When the SOFA was analyzed by tertiles,patients in the high tertiles(OR:1.42,95%CI:1.06-1.90,P<0.0001)presented a progressively higher risk of AKI than did those in the low tertile,with a significant dose response trend(P for trend<0.001).Subgroup analysis and curve fitting analysis revealed a significant positive association between SOFA and the risk of AKI in elderly patients who underwent coronary artery bypass grafting.Conclusions The SOFA score may be a promising parameter to evaluate the risk of AKI in elderly patients under-going coronary artery bypass grafting,which provides a certain reference for the risk stratification management of ICU elderly patients who underwent CABG.展开更多
基金supported by the Strategic Priority Research Program of the Chinese Academy of Sciences(grant no.XDB40000000)the National Natural Science Foundation of China(grant nos.42276240,41976191,and 42373007)。
摘要The Xisha Islands accumulated significant amounts of phosphorus(P)due to seabird guano input.However,the seabird population has declined significantly in recent years as a result of climate change and human activities.As plant communities develop,significant amounts of organic matter and nitrogen were introduced into the soil through plant humus.To investigate the effects of different sources on the distribution of phosphorus fractions during the past~1000 years of ecological evolution,we conducted k-edge x-ray absorption near-edge structural spectroscopy(XANES),sequential extraction,and31P nuclear magnetic resonance(31P-NMR)of soil phosphorus in two ornithogenic soil profiles from the Xisha Islands.Combining these methods,the results revealed that magnesium-bound phosphorus(Mg-P)in modern guano underwent mineralization after deposition,and its content decreased by>50%.Subsequently,it may be released and combine with the abundant calcium-bearing minerals to transform into calcium-bound phosphorus(Ca-P).The results of XANES and sequential extraction indicated that Ca-P dominated the soil phosphorus pool by up to 70%–90%.The distributions of total organic carbon,total nitrogen,and total phosphorus in the soil profile are consistent with the evolutionary characteristics of nutrient supply from guano or plant humus during historical periods.In addition,although plant humus has lower total phosphorus content than guano,it may be an important source of organic phosphorus for topsoil.This study provides insights into the evolution of coral island ecosystems by examining phosphorus fractions and sources of phosphorus and offers valuable references for understanding nutrient cycling on tropical coral islands.
摘要Objective:This study aimed to investigate the long-term auditory and speech outcomes of sequential bilateral cochlear implantation(BiCl)in children with cochlear nerve deficiency(CND).Methods:Sixteen CND children who underwent sequential BiCI were retrospectively reviewed.Auditory and speech abilities were evaluated using questionnaire-based rating scales,including the Categories of Auditory Performance(CAP),the Infant-Toddler Meaningful Auditory Integration Scale(IT-MAIS),and the Speech Intelligibility Rating(SIR).Closed-set and open-set speech recognition abilities were also measured.Results:The first cochlear implantation(Cl)was performed at a median age of 12 months.The mean age at contralateral CI was 43 months,and the mean inter-implant interval time was 26 months.All patients showed continuous auditory and speech improvement over time.Of the sixteen patients,nine completed closed-set and/or open-set speech recognition assessments.After contralateral CI,all nine patients showed improved closed-set speech recognition scores.Four patients achieved closed-set test scores of more than 90% and open-set disyllable recognition scores ranging from 44 to 85%.In addition,two patients demonstrated better performance with bilateral CI than with unilateral CI.Conclusions:CND children showed favorable long-term auditory and speech outcomes after sequential BiCI,and some demonstrated bilateral benefit in speech perception.These findings suggest that BiCI may be a viable option for selected CND children.
基金supported by the Open Fund of Laboratory of Aerospace Servo Actuation and Transmission(No.LASAT-2022-A03).
摘要This paper proposes a hybrid sequential second-order cone programming(HSSOCP)method with a three-layer scheme for the entry trajectory optimization of the cross-domain morphing vehicles(CDMVs).By defining the new morphing rate control variable and using relaxation techniques to relax the bank angle constraint,the SOCP-based entry problem is constructed.A dynamic relaxation penal-ization technique is developed in the first layer to overcome artificial infeasibility and significantly enhance initialization robustness.A novel standard oscillation identification(SOI)method is proposed to precisely identify the iteration oscillations of basic SSOCP in the second layer,which can significantly improve the solution accuracy.A soft-trust-region strategy is applied in the third layer to eliminate oscillations and accelerate convergence.Simulation results of two scenarios demonstrate that the proposed SOI method effectively avoids non-standard oscillation interference versus traditional methods.The morphing aircraft can complete tasks better with a 7.01%and 10.43%reduction in heat load respectively compared to fixed-wing aircraft.The HSSOCP method can maintain accuracy while reducing computation time by 63.47%and 73.86%versus VATSSOCP.Monte Carlo simulations further validate the robustness.
基金supported by the Open Fund of Laboratory of Aerospace Servo Actuation and Transmission,China(No.LASAT-2022-A03)。
摘要This paper develops an Oscillation-avoidance-based Multistage Trust-region Sequential Convex Programming(OMTSCP)method for the highly nonlinear entry trajectory optimization problem of Cross-Domain Morphing Vehicles(CDMVs).The decoupling of states and controls for complex nonlinear dynamics is achieved by defining new control and state variables.A series of sub convex problems is formulated by successive linearization and discretization of the constraints.The proposed Trust-region Sequential Convex Programming(TSCP)scheme consists of three stages:an initial guess generation stage,a basic solution stage,and an optimal solution stage.An approach to penalize the dynamic relaxation is firstly developed to obtain an initial guess with considerable accuracy and significantly improve the robustness of the algorithm by overcoming the drawbacks of potential artificial infeasibility.The oscillation phenomenon of the TSCP method under rectangular trust region is then investigated,and a novel N-shape-based oscillation identification method is proposed to identify the oscillation accurately.Finally,an oscillation-avoidance method based on the sort trust-region is proposed to improve the convergence of the TSCP algorithm.Numerical comparisons of the proposed method and a typical TSCP method,as well as the morphing and fixed-morphing vehicles are provided to demonstrate the effectiveness and efficiency of the proposed method and the performance advantages of the morphing vehicle.The robustness of the method is further verified by Monte Carlo simulation.
基金support from Tianjin Health Science and Technology Project(Grant No.TJWJ2022MS007)the Science&Technology Development Fund of Tianjin Education Commission for Higher Education(Grant No.2022ZD067)+2 种基金the Tianjin Municipal Science and Technology Bureau(Grant No.22ZXJBSY00030)the National Key Laboratory of Druggability Evaluation and Systematic Translational Medicine(Grant No.24ZXZSSS00440)the Independent Project of the Key Laboratory of Drug Efficacy Evaluation and Systematic Translational Medicine,Tianjin Medical University Cancer Institute and Hospital(Grant No.QZ23-11).
摘要Pancreatic ductal adenocarcinoma(PDAC)is among the deadliest solid tumors.Patients who develop PDAC with locally advanced pancreatic cancer(LAPC)or metastases have an especially poor prognosis1.Although there have been improvements in systemic therapy,long-term disease control is uncommon and most patients progress within months after treatment has started2.
基金supported by the Program for NIM-Basic Research Business Expenses Key Field Program,China(No.AKYCX2315).
摘要The rapid identification of γ-emitting radionuclides with low activity levels in public areas is crucial for nuclear safety.However,classical methods rely on full-energy peaks in the integral spectrum,requiring sufficient count accumulation for evaluation,thereby limiting response time.The sequential Bayesian approach,which utilizes prior information and considers both photon energies and interarrival times,can significantly enhance the performance of radionuclides identification.This study proposes a theoretical optimization method for the traditional sequential Bayesian approach.Each photon is processed sequentially,and the corresponding posterior probability is updated in real time using a noninformative prior from the Bayesian theory.By comparing the posterior probabilities of the background and radionuclides based on the energy variance and time interval,the type of γ-rays can be identified(background characteristic γ-rays,Compton plateaus γ-rays,or radionuclide-specific characteristic γ-rays).By integrating the information from these multiple characteristic γ-rays,the presence and type of radionuclides were determined based on the final decision function and a set threshold.Based on theoretical research,verification experiments were conducted using a LaBr3(Ce)detector in both low-and natural background radiation environments with typical radionuclides(137Cs,60Co,and 133Ba).The results show that this approach can identify 137Cs in 7.9 s and 8.5 s(source dose rate contribution:approximately 6.5×10−3μGy/h),60Co in 8.1 s and 9.8 s(approximately 4.8×10−2μGy/h),and 133Ba in 4.05 s and 5.99 s(approximately 3.4×10−2μGy/h)under low and natural background radiation,respectively,with a miss rate below 0.01%.This demonstrates the effectiveness of the proposed approach for fast radionuclides identification,even at low activity levels and highlights its potential for enhancing public safety in diverse radiation environments.
基金Project supported by the National Natural Science Foundation of China(52472173,52402206,52202193)the Zhejiang Provincial Natural Science Foundation of China(LY24E020005,LQN25E020013)the Key Projects of Jinhua Science and Technology Bureau(2023-1-090,2024-3-029)。
摘要Metal-organic frameworks(MOFs)have emerged as promising ratiometric fluorescent thermometers owing to abundant luminescent units and ease of functionalization.However,they still face challenges such as the incompatibility of different luminescent centers and the instability of post-functionalized MOFs.Herein,we demonstrate a sequential installation strategy to decorate a robust Zr-MOF(PCN-700)with diverse luminescent units including organic molecules and rare earth ions.Through the coordination of 4,4'-(2,1,3-benzothiadiazole-4,7-diyl)bis[benzoic acid](BTDB)and 2,2'-bipyridine-5,5'-dicarboxylic acid(BPYDC)to unsaturated Zr sites in PCN-700,followed by chelation of Eu3+ions to BPYDC,the host-guest composites with programmable compositions were engineered.Crucially,the assembly sequence of BTDB,BPYDC and Eu3+dictates their spatial arrangement in PCN-700,and thus influences the temperature sensing performance.PCN-700-BTDB-BPYDC@Eu3+(7),assembled through sequential incorporation of luminescent units following a descending size order(BTDB>BPYDC>Eu3+),achieves the optimal temperature sensing performance.This configuration generates green fluorescence from BTDB and red fluorescence from Eu3+-chelated BPYDC,enabling dual-emission thermometry across the physiological temperature range(298-358 K)with good relative sensitivity(1.54%/K at 339 K)and excellent cyclability after five cycles.The work establishes a paradigm for spatially resolved multi-emitter integration in MOFs,advancing the design of stable optical rare earth-based sensors through high-precision host-guest engineering.
基金supported by the National Natural Science Foundation of China(No.52173152)the Fund of the Rising Stars of Shaanxi Province(No.2021KJXX-48)+2 种基金Scientific and Technological Innovation Team of Shaanxi Province(No.2022TD-36)The Natural Science Basic Research Plan in Shaanxi Province of China(No.2024JC-YBMS-123)Industrial Science and Technology Plan in Shaanxi Provincial Education Department(No.23JC001)。
摘要Supramolecular architectures exhibiting cascade energy transfer characteristics represent pivotal model systems for advancing biomimetic light-harvesting systems(LHS)that emulate the natural photosynthesis.To now,the engineering of aqueous-phase artificial LHS with optimized energy transfer cascades is still a challenge.In this study,we designed and synthesized two tetraphenylethylene(TPE)-based macrocyclic compounds(namely TPE-1 and TPE-2)with different cavity sizes as supramolecular scaffolds to study their energy transfer behaviors.As a control model,a linear molecule TPE-3 was also prepared.The bigger-cavity macrocycle TPE-1 can emit green fluorescence and self-assemble into nanospherical structures in aqueous media,acting as an energy donor.Through self-assembly with eosin Y(EY)and a red-emitting fluorophore(TPE-Se),a sequential Förster resonance energy transfer(FRET)cascade:TPE-1→EY→TPE-Se was achieved thanks to their excellent spectral overlap and proximity between the donor and acceptors.The optimized ternary system(TPE-1/EY/TPE-Se)with a ratio of 1000:90:60 afforded a high energy transfer efficiency(ΦET)of 95%.Then,the artificial LHS platform catalyzed the oxidative coupling of benzylamines with 93%yield in aqueous media.Moreover,the system demonstrated broad catalytic utility oxidation reactions,the good conversion of methylthiobenzyl ester to methylbenzene sulfoxide and the aerobic cross-dehydrogenation coupling reaction of N-phenyltetrahydroisoquinoline with indole.These results robustly demonstrate the promising potential of this artificial LHS in the field of aqueous photocatalysis.
基金supported by the National Natural Science Foundation of China(Grant No.62001271)。
摘要We propose a sequential noise-boosted M-estimation algorithm for estimating system parameters in environments characterized by impulsive(heavy-tailed)noise.This algorithm extends the conventional M-estimation framework by strategically injecting artificial noise into the observations,thereby facilitating the estimation procedure and ensuring convergence to the desired estimator.A fundamental criterion theorem is established to determine the conditions under which injecting scale-family noise enhances the efficacy of the M-estimator in heavy-tailed background noise.For cases where noise injection is beneficial,it is rigorously proved that the sequential noise-boosted M-estimation algorithm converges with probability one.Experimental results demonstrate that the proposed algorithm outperforms traditional M-estimation methods,both under a given injected noise intensity and when the noise injection is adaptively optimized via Bayesian optimization.Furthermore,it is observed that the proposed algorithm can asymptotically achieve the performance of the maximum likelihood estimator(MLE)for system parameter estimation.
基金supported by the National Key R&D Program of China[2022YFF0902703]the State Administration for Market Regulation Science and Technology Plan Project(2024MK033).
摘要Recommendation systems are key to boosting user engagement,satisfaction,and retention,particularly on media platforms where personalized content is vital.Sequential recommendation systems learn from user-item interactions to predict future items of interest.However,many current methods rely on unique user and item IDs,limiting their ability to represent users and items effectively,especially in zero-shot learning scenarios where training data is scarce.With the rapid development of Large Language Models(LLMs),researchers are exploring their potential to enhance recommendation systems.However,there is a semantic gap between the linguistic semantics of LLMs and the collaborative semantics of recommendation systems,where items are typically indexed by IDs.Moreover,most research focuses on item representations,neglecting personalized user modeling.To address these issues,we propose a sequential recommendation framework using LLMs,called CIT-Rec,a model that integrates Collaborative semantics for user representation and Image and Text information for item representation to enhance Recommendations.Specifically,by aligning intuitive image information with text containing semantic features,we can more accurately represent items,improving item representation quality.We focus not only on item representations but also on user representations.To more precisely capture users’personalized preferences,we use traditional sequential recommendation models to train on users’historical interaction data,effectively capturing behavioral patterns.Finally,by combining LLMs and traditional sequential recommendation models,we allow the LLM to understand linguistic semantics while capturing collaborative semantics.Extensive evaluations on real-world datasets show that our model outperforms baseline methods,effectively combining user interaction history with item visual and textual modalities to provide personalized recommendations.
摘要Tradescantia zebrina is a leafy vegetable with potential as a functional food ingredient,but its optimal extraction and gastrointestinal(GI)stability require investigation.This study aimed to optimize phytochemical extraction from T.zebrina leaves using hot water extraction(HWE),ultrasound-assisted extraction(UAE),and sequential hybrid methods(UAE+HWE,HWE+UAE),and then evaluated the GI stability of the optimized extract using the INFOGEST model.Among nine extraction treatments,the sequential UAE-20 min followed by HWE-15 min(UAE-20+HWE-15)yielded the highest total phenolic content(TPC,8.11 mg GAE/g)and flavonoid content(TFC,63 mg QE/g),along with the strongest antioxidant activities:2,2-diphenyl-1-picrylhydrazyl(DPPH·)and 2,2′-azino-bis(3-ethylbenzothiazoline-6-sulphonic acid)radical cation(ABTS·+)scavenging,and Ferric reducing antioxidant power(FRAP).TPC and TFC correlated strongly with antioxidant parameters,while anthocyanin contents did not.Post-digestion analysis of the optimized extract,following solid-phase extraction cleanup,revealed marked reductions in the phenolic and flavonoid content(to 3.28 mg GAE/g and 6.44 mg QE/g,respectively)and a corresponding decline in DPPH·,ABTS·+,and H2O2scavenging activities,FRAP,and anti-inflammatory(albumin denaturation inhibition)activities.Nitric oxide scavenging activity was nearly lost.These findings indicate that while the UAE-20+HWE-15 method is optimal for extraction,the resulting bioactive compounds showed limited stability under simulated GI conditions,highlighting the need for strategies to preserve their activity for functional food applications.This highlights the need for protective strategies,like encapsulation,to preserve its efficacy for functional food applications.
基金funded by the Ministry of Public Security of the People’s Republic of China,grant number 2024ZB02(X.Z.).
摘要As software applications grow increasingly large and complex,traditional code vulnerability detection methods struggle with performance and efficiency.Although code visualization-based algorithms have demonstrated effectiveness in capturing sparse features and complex workflows in large-scale source code,their capacity to extract global semantic information and intricate long-range dependencies remains limited.Recent large language model(LLM)-based approaches have shown promising accuracy by leveraging rich contextual information,but their high computational cost often limits practical efficiency.To address these challenges,we propose VulSCP,a new framework that integrates sequential convolution with a parallel attention mechanism.Specifically,VulSCP first constructs a semantically weighted graph from the source code,then employs sequential convolution to extract local vulnerability-related features,and finally enhances the global feature representation through parallel attention.Experimental results on large-scale C/C++function-level datasets show that VulSCP achieves an accuracy of 85.14%and a false positive rate of 17.25%,outperforming the best baseline in accuracy by 1.73 percentage points and reducing the false positive rate by 3.38 percentage points.Moreover,while maintaining high detection accuracy,VulSCP achieves a low average inference time of 1.89 s per sample,showing favorable efficiency compared with the evaluated LLM-based methods.These results suggest that VulSCP is a promising approach for vulnerability detection in large and complex software systems,offering a favorable balance between accuracy and efficiency.The source code of VulSCP is publicly available at http://gffzz188fe103f8f1460asf6k6uqpkoux0656b.ffgz.tsg.suse.edu.cn/Hwzx-ZeL/VulSCP.
基金The National Natural Science Foundation of China under contract Nos 42276017 and 42376001。
摘要Based on simulations using the Regional Ocean Modeling System,this study investigates the impact of two sequential Typhoons Nesat and Nalgae(2011)on the subsurface thermal structure(30–150 m)of the northern South China Sea.Our findings indicate significant subsurface cooling along and on both sides of the typhoon track,with the most pronounced temperature decreases occurring to the right.The largest heat changes were observed during the first nearinertial period after the passage of each typhoon,with the overall heat loss induced by both being roughly comparable.The two typhoons,however,influenced the subsurface layer through distinct mechanisms.Typhoon Nesat induced strong vertical mixing that began to regulate the subsurface layer even prior to its arrival,primarily causing subsurface warming—an effect that dissipated rapidly after the typhoon passed.The intensity of this mixing was strongest along the track,weaker to the right,and weakest to the left.In contrast,Typhoon Nalgae did not generate marked vertical mixing.Both typhoons triggered strong vertical advection,which led to subsurface cooling and served as the dominant control on subsurface temperature changes.The intensity of vertical advection showed minimal variation along the track and on either side.Due to the preconditioning by Typhoon Nesat and the combined influence of the two typhoons,vertical advection was more pronounced during the passage of Nalgae and persisted after the typhoons had passed.Although horizontal advection was relatively weak,it contributed to subsurface warming during the post-typhoon recovery phase,whereas the effect of horizontal mixing was negligible.
基金the National Natural Science Foundation of China(No.62172012)。
摘要We consider the well-studied sequential posted pricing scenarios.In these scenarios,an auctioneer typically learns the value distributions of all agents as prior information and then offers a take-it-or-leave-it price to each sequentially coming agent.If the value distributions are correctly learned,the dominant strategy of each agent is telling the truth.However,an agent could manipulate her value distribution to exploit the auctioneer.We study the behavior of sophisticated agents predicted by two prominent bounded rationality models:the level-k and the cognitive hierarchy models.We begin with analyzing the structure of the optimal reported distributions and then provide algorithms to compute the optimal distributions for each model.In the continuous scenarios,we show that both models are ill-defined by some examples.Moreover,we evaluate both models in discrete scenarios with different numbers of agents,different minimum units of the values,and different risk tolerances.The empirical results and a brief discussion about the Bayesian Nash equilibrium of the experimental scenarios show that both the level-k model and the equilibrium suggest the highest possible prices.In contrast,the cognitive hierarchy model suggests low prices.The level-k model and the equilibrium somehow explain the“winner’s curse”in online markets.The models and the equilibrium fail to explain that the same item could have different prices in different shops.To explain the different-price phenomenon,we suggest trying other bounded rationality models for agents and/or considering the auctioneers with bounded rationality.
摘要BACKGROUND Acute pyelonephritis(APN)is a significant part of the healthcare burden globally.Early risk stratification in APN is crucial to guide intensive care unit(ICU)admission and anticipate in-hospital mortality.The relevance of scoring tools like quick Sequential Organ Failure Assessment(qSOFA)and National Early Warning Score 2(NEWS2)in urology-specific infections has been unclear.Our study is among the first to prospectively compare the qSOFA and NEWS2 scores exclusively in non-emphysematous APN,a real-world cohort previously overlooked in research.AIM To assess the accuracy of NEWS2 and qSOFA scores in predicting ICU admission,in-hospital mortality and their role in guiding urological interventions among adults with APN.METHODS A prospective observational study,conducted at a tertiary care centre in South India over two years,on adult patients diagnosed clinically and radiologically with APN.Comprehensive clinical,laboratory,and imaging parameters were recorded.The cohort was stratified into patients requiring ICU and not requiring ICU to assess differences across parameters.The discriminative power of the NEWS2 and qSOFA scores for predicting expedited care and mortality was analyzed.RESULTS The NEWS2 score≥5 emerged as a robust tool,identifying nearly all patients requiring ICU admission[sensitivity,98.1%;area under the receiver operating characteristic curve(AUC):0.977;P<0.05]and predicting intervention with high accuracy(AUC-0.823;P<0.05).However,the qSOFA≥2 score proved to be the silent sentinel of mortality(AUC-0.839;P<0.05),outperforming the NEWS2 score in prognostication.Interestingly,patients who later required ICU care had elevated NEWS2 scores at baseline,suggesting the missed early red flags.To the best of our knowledge,this is the first and largest prospective study to compare NEWS2 and qSOFA scores exclusively in nonobstructive,non-emphysematous APN.CONCLUSION In APN,NEWS2(≥5)proved to be a pragmatic trigger for ICU triage,while qSOFA(≥2)better flagged in-hospital mortality.Together,they form a complementary framework as a simple,objective,and lifesaving bedside tool.
基金supported by the National Natural Science Foundation of China(Grant No.41961134032).
摘要The probabilistic stability evolution analysis of reservoir bank slopes is a crucial aspect of risk assessment,with core challenges including the consideration of deformation mechanisms and accurate determination of mechanical parameters.In this study,a novel time-varying reliability analysis framework based on sequential Bayesian updating of mechanical parameters is proposed.The inverse parameters account for damage time-dependent behavior,incorporating water effect and a strain-driven softening-hardening process that depends on sliding states.The likelihood function is enhanced to simultaneously consider observation error,surrogate model prediction error,and model structural error,with the introduction of physical penalty.Exploration of the high-dimensional parameter space is achieved via the Hamiltonian Monte Carlo(HMC)method and the physics knowledge-based time-dependent deformation surrogate model.The time-varying reliability analysis of the slope is performed using the multi-grid method.Taking a reservoir bank slope as a case study,the sequential updating of 12 mechanical parameters is conducted based on deformation time series from 16 monitoring points,thereby validating the proposed framework.The results indicate that the proposed framework effectively captures the posterior distribution of mechanical parameters,with the case slope remaining in a critically stable state after overall sliding,showing a high failure probability.Introducing model structural error can reduce parameter compensation,and a reasonable sequential updating step size can improve inversion accuracy.
摘要BACKGROUND Sepsis causes significant mortality in patients.Typically,the Sequential Organ Failure Assessment(SOFA)score is used;however,recent studies have demonstrated improved predictive accuracy by using inflammatory biomarkers such as serum ferritin and the neutrophil-to-lymphocyte ratio(NLR).Serum ferritin,although traditionally associated with iron metabolism,also acts as an acute-phase reactant reflecting systemic inflammation.AIM To assess the prognostic value of integrating ferritin and NLR with SOFA in predicting mortality in critically ill patients with sepsis.METHODS Medical Information Mart for Intensive Care database-IV database was used to conduct this retrospective cohort study.Patients were divided into quartiles based on values of serum ferritin and NLR.Cox proportional hazards regression asse ssed the association with 30-day mortality,adjusted for age,sex,and the Charlson comorbidity index.Model performance was evaluated using the area under the receiver operating characteristic curve(AUROC),calibration plot,and net reclassification index(NRI).Bootstrapped internal validation was performed using 1000 resamples.RESULTS Patients in the ferritin Q1 quartile(lowest ferritin quartile)had 30%lower adjusted mortality risk(hazard ratio[HR]:0.71,95%confidence interval[CI]:0.57-0.9;P=0.005)compared to Q3(highest ferritin quartile).Similarly,NLR Q1(lowest NLR quartile)had 27%lower adjusted mortality risk(HR:0.73,95%CI:0.59-0.91;P=0.006).Moreover,patients with both serum ferritin and NLR in the Q1(lowest)quartile had the lowest risk of mortality(HR:0.56,95%CI:0.42-0.74;P<0.001).With biomarker integration,the AUROC improved from 0.602(95%CI:0.574-0.630)for SOFA alone to 0.656(0.629-0.683;P<0.001),primarily driven by ferritin.NRI demonstrated a modest but significant improvement in reclassification.Old age was also found to be associated with a higher risk of mortality.CONCLUSION Lower ferritin and NLR are associated with reduced 30-day mortality,with ferritin markedly improving SOFAbased prediction and NLR offering minimal added benefit.Accessible biomarkers enhance early risk assessment in low-resource intensive care units.
摘要Existing graph-enhanced sequential recommendation methods typically adopt a unidirectional information flow,in which graph embeddings are injected into the sequential encoder only at the input stage,after which the graph signal is progressively diluted through multiple layers of deep processing.In this paper,the graph signal dilution phenomenon is analyzed systematically across three levels—the input,representation,and prediction layers—and the GSPRec model is proposed to address this issue.The core of GSPRec is the Graph-Sequence Collaborative Injection(GSCI)module,comprising three lightweight components:the Graph Confidence Gate(GCG)controls GCN smoothing via dimension-wise bounded interpolation;the Graph Residual Aggregation(GRA)restores diluted signals through a graph skip connection;and the Graph Collaborative Prediction(GCP)injects collaborative signals into prediction scores via a de-meaned shortcut.GSCI introduces only 194 learnable parameters in total and is equipped with a zero-damage initialization guarantee.The sequential encoder is further enhanced with independent dual Mamba instances and an adaptive path router.Experiments on four benchmark datasets—Food,Movie,Book,and Douban—demonstrate that GSPRec outperforms eight baselines across all 16 evaluation metrics,with relative improvements of 0.61%-3.16%over the strongest baseline and less than 4%additional training time.A layer-wise probing analysis directly confirms that the graph signal is diluted within the sequential encoder and that the GSCI components counteract this loss,while the learned injection strengths adapt across datasets.
摘要BACKGROUND Despite therapeutic advances,outcomes in hepatocellular carcinoma(HCC)remain suboptimal,underscoring the need to explore more effective treatment strategies.AIM To compare efficacy and prognosis in HCC patients treated with synchronous vs sequential transcatheter arterial chemoembolization(TACE)and microwave ablation(MWA).METHODS A total of 106 patients with HCC admitted between March 2022 and March 2024 were included.Patients receiving concurrent TACE and MWA constituted the synchronous group(n=56),while those treated with TACE followed by MWA formed the sequential group(n=50).Intergroup comparisons encompassed curative efficacy,ablation-related parameters(number of needle insertions,ablation duration,and power),prognostic indicators(progression-free survival and overall survival),tumor biomarkers[alpha-fetoprotein(AFP),AFP-L3],hepatic function indices[total bilirubin(TBIL),alanine aminotransferase(ALT),aspartate aminotransferase(AST)],and post-procedural complications(pyrexia,abdominal pain,and gastrointestinal reactions).RESULTS No significant intergroup differences were observed in curative efficacy,ablation power,prognosis,or overall complication rates(P>0.05).However,the synchronous group required fewer ablation needles and shorter ablation durations than the sequential group(P0.05).CONCLUSION Synchronous TACE combined with MWA is non-inferior to the sequential approach regarding therapeutic efficacy,survival outcomes,safety,and tumor control in HCC.Notably,the synchronous strategy offers procedural advantages by reducing ablation attempts and shortening treatment duration.
摘要Background Acute kidney injury(AKI)is a common and serious complication following coronary revascular-ization,contributing significantly to poor outcomes in critically ill surgical patients.The Sequential Organ Failure Assessment(SOFA)score is a widely utilized clinical tool for evaluating the severity of organ failure in critically ill patients and assessing their condition and prognosis in the intensive care unit(ICU).This study aimed to investi-gate the association between SOFA and the risk of AKI in elderly patients who underwent coronary artery bypass grafting.Methods In this secondary retrospective cohort study,data of elderly patients(aged>65 years)who un-derwent coronary artery bypass grafting were extracted from the Medical Information Mart for Intensive Care(MIMIC)-Ⅳdatabase(2008-2019).The outcome was the occurrence of AKI after ICU admission.The study popu-lation was divided into tertiles based on the SOFA score(low:SOFA≤3;middle:4.0≤SOFA≤5.0;high:SOFA≥6).Univariate and multivariate logistic regression models were performed to assess the association between the SOFA score and the odds of AKI in elderly patients undergoing coronary artery bypass grafting(CABG).The results were presented as odds ratios(ORs)with 95%confidence intervals(CI).Subgroup analyses of gender,age,race,medical insurance,marital status,diabetes,renal disease,chronic pulmonary disease,cerebrovascular disease and peripheral vascular disease were performed to further explore the association of SOFA with AKI.Results A total of 2,142 el-derly patients who underwent CABG were included in this study.When analyzed as a continuous variable,each unit increment in SOFA was associated with a 10%increase in AKI risk(adjusted OR:1.10,95%CI:1.05-1.15,P<0.0001).In addition,When the SOFA was analyzed by tertiles,patients in the high tertiles(OR:1.42,95%CI:1.06-1.90,P<0.0001)presented a progressively higher risk of AKI than did those in the low tertile,with a significant dose response trend(P for trend<0.001).Subgroup analysis and curve fitting analysis revealed a significant positive association between SOFA and the risk of AKI in elderly patients who underwent coronary artery bypass grafting.Conclusions The SOFA score may be a promising parameter to evaluate the risk of AKI in elderly patients under-going coronary artery bypass grafting,which provides a certain reference for the risk stratification management of ICU elderly patients who underwent CABG.