Pelagic appendicularians,known for their rapid bloom capability,are important secondary producers and play essential roles in marine ecosystems.To assess the environmental adaptation of the most common appendicularian...Pelagic appendicularians,known for their rapid bloom capability,are important secondary producers and play essential roles in marine ecosystems.To assess the environmental adaptation of the most common appendicularian species Oikopleura dioica in Jiaozhou Bay,Shandong,China,its annual variations in abundance and body size were investigated monthly at 12 stations in 2011,and the relationship between somatic growth and gonadal development was compared with previously published laboratory data.Oikopleura dioica exhibited distinct seasonal abundance patterns,peaking in summer and autumn,particularly in the inner bay,reflecting its adaptation to the eutrophic conditions and high food availability.Compared to laboratory results,O.dioica in Jiaozhou Bay exhibited shorter body lengths,smaller gonad volumes,and earlier maturation at reduced body sizes,despite high natural chlorophyll-a concentration,suggesting that factors beyond food availability,such as resource competition and environmental stressors,may limit its growth in natural settings.Correlation analysis indicated that the somatic growth of natural O.dioica was primarily influenced by temperature,while gonadal development was related to chlorophyll-a concentration,and its population abundance was linked to food availability and the abundance of other zooplankton,such as copepods and jellyfish.It was suggested that the growth and recruitment of O.dioica were constrained by resource limitations in natural environments,further exacerbated by interactions with other zooplankton,including predation and competition.This study provides valuable data on the mechanisms underlying bio-environmental interactions and their spatiotemporal variations,offering critical insights into the ecological roles of appendicularians in marine ecosystems.展开更多
To date,heterometal-incorporated Keggin clusters,as an important branch of polyoxometalate chemistry,have remained limited to NbⅤ/MoⅥ/WⅥ-based Keggin architectures.In this work,we successfully designed and...To date,heterometal-incorporated Keggin clusters,as an important branch of polyoxometalate chemistry,have remained limited to NbⅤ/MoⅥ/WⅥ-based Keggin architectures.In this work,we successfully designed and synthesized the first such structure based on p-block elements,taking into account spatial compatibility and the presence of an inactive shell.The resulting CTGU-SnC-19 cluster is a unique sandwich-type structure,featuring a central electron-donating{Bi2(NO3)4}2+moiety flanked by electron-accepting{γ-BiSn11}+units on both sides.It is also the largest tin-oxo structure with a heterometal cluster reported to date.Theoretical calculations indicate that each component of this sandwich-type structure works synergistically to promote efficient bidirectional electron transfer from the center toward both ends,significantly enhancing its third-order nonlinear optical property.Moreover,the excellent optical limiting performance of CTGUSnC-19 was experimentally demonstrated through the Z-scan measurements.This work provides new insights into the construction and property modulation of heterometal-incorporated Keggin clusters.展开更多
As the steel industry is intended to be carbon-neutral,transitional solutions are required before full-scale hydrogen-based reduction becomes viable.One such strategy is the partial replacement of pulverized coal inje...As the steel industry is intended to be carbon-neutral,transitional solutions are required before full-scale hydrogen-based reduction becomes viable.One such strategy is the partial replacement of pulverized coal injection(PCI)with high-quality biocarbon in blast furnace(BF)operations.Raw biomass presents challenges,such as low grindability,high ash content,and low energy density,which can be mitigated through torrefaction and carbonization.This study evaluates the combustion behavior and injection limits of four biocarbon samples(mildly torrefied biomass(MTB),hard torrefied biomass(HTB),mildly carbonized biomass(MCB),and hard carbonized biomass(HCB))using thermogravimetric analysis(TGA),drop tube furnace(DTF),and laminar flow reactor(LFR)experiments.Results show that as biomass is carbonized,its combustion kinetics increasingly resemble those of PCI coal.Co-firing tests confirmed improved performance at higher blending ratios,especially with highly treated samples,such as HCB,due to enhanced fragmentation and char reactivity.Injection limits were determined based on combustion performance,heating value(±5 wt%of PCI coal),and ash content(<10 wt%).The MTB and HCB exceeded these limits at approximately 27-30 wt%blending,indicating the need for an adjusted fuel input.Overall,biocarbon shows strong potential as a PCI substitute,offering a feasible low-carbon pathway for existing BF systems.展开更多
Understanding the drivers of long-term changes in phytoplankton limiting factors is crucial for effective eutrophication management in lakes.This study focuses on Taihu Lake—a large,shallow lake—over the period 2007...Understanding the drivers of long-term changes in phytoplankton limiting factors is crucial for effective eutrophication management in lakes.This study focuses on Taihu Lake—a large,shallow lake—over the period 2007–2023,during which substantial climate variability and watershed management occurred.This study aims to characterize the temporal evolution of the limiting factors that constrain the final yield of phytoplankton in the lake,and to identify the key drivers of these shifts,with particular focus on summer periods when environmental conditions are most favorable for achieving maximum algal biomass.We revised the trophic state index(TSIr)to suit the Taihu Lake case and analyzed the long-term total nitrogen(TN),total phosphorus(TP),Secchi depth(SD),and chlorophyll-a(Chl-a)data to track changes in algal biomass constraints.Results reveal a transition from a predominantly light-limited algal biomass in the early years to the increased nutrient limitation,particularly N and N&P-co-limitation.This shift was evident in the evolving differences among TSIr sub-indices—TSIr(Chl a),TSIr(SD),TSIr(TN),and TSIr(TP).The observed transition was found primarily driven by sustained reductions in nutrient concentrations,especially TN,coupled with an improved light environment,as decreased wind speed reduced non-algal turbidity.The emergence of nutrient limitation re-established partially a positive coupling between Chl a and TN/TP in some areas of the lake,which differed from the decoupled patterns observed under light-limited conditions before 2020.Following this regime shift,continued TN and TP reductions post-2021 coincided with marked declines in Chl-a levels and bloom extent.Despite these improvements,Taihu Lake remains in a transitional phase,and light limitation remain to be dominant in most parts of the lake.Our ecosystemscale study demonstrated that dual N&P reduction is effective for treating shallow lakes.Furthermore,based on our results and by integrating reported thresholds from previous studies,we recommend TN concentrations of 0.69–0.80 mg/L and TP concentrations below 50μg/L as preliminary control targets for shallow eutrophic lakes.These findings offer critical insights for algal bloom prevention and control in Taihu Lake and similar system.展开更多
The quality of cardiopulmonary resuscitation(CPR) significantly influences survival and neurological outcomes in patients with cardiac arrest(CA).Although mechanical chest compression devices and extracorporeal cardio...The quality of cardiopulmonary resuscitation(CPR) significantly influences survival and neurological outcomes in patients with cardiac arrest(CA).Although mechanical chest compression devices and extracorporeal cardiopulmonary resuscitation(ECPR) have demonstrated some benefits,high-quality manual CPR remained the essential first step,particularly in resource-limited settings.In this study,we examined whether opportunities existed to improve manual CPR performance using preliminary data from our recent survey conducted in a province in western China.We aim to emphasize the importance of improving manual CPR quality before implementing advanced interventions.展开更多
Time-domain astronomy requires telescopes capable of rapid response and uninterrupted operation to observe light curves of transient astrophysical events in the shortest possible time.For equatorial telescopes,which a...Time-domain astronomy requires telescopes capable of rapid response and uninterrupted operation to observe light curves of transient astrophysical events in the shortest possible time.For equatorial telescopes,which are mainly used for meter-class telescopes,it is possible for the horizontal limit stop to interrupt the observation,especially during the pointing process as the telescope slews to the next object to observe.We discuss the procedures to estimate whether the horizontal limit stop will occur in the pointing process and propose an algorithm to prevent this.We consider several factors relating to the horizontal limit stop,including the latitude of the observation site,the current pointing of the telescope,the target pointing,the degree threshold of the horizontal limit stop,and the altitude threshold of the observable sky area for astronomy.Once factors are given,a set of discrimination procedures is conducted to determine whether the horizontal limit stop will be triggered in a single pointing process.If it is predicted to occur,then the telescope control software will alter the pointing course.Finally,we discuss some other related factors,such as the telescope’s two axes having different pointing speeds,and observation sites in the Southern Hemisphere.We demonstrate a method to keep equatorial astronomical telescopes away from the horizontal limit stop while in motion.This system can be beneficial if operating continuously for autonomous observations,to guarantee a rapid response for time-domain astronomy.展开更多
This study presents a novel framework for evaluating slope stability in spatially variable soils by integrating a newly developed sequential limit analysis based on the Hellinger-Reissner functional,utilizing the node...This study presents a novel framework for evaluating slope stability in spatially variable soils by integrating a newly developed sequential limit analysis based on the Hellinger-Reissner functional,utilizing the node-based smoothed finite element method(NS-FEM),with a newly proposed deep learning(DL)approach termed multi-downsampling hybrid Linformer-convolutional neural networks(CNNs).The NS-FEM-based mixed formulation of limit analysis(MFLA)enhances computational accuracy and convergence by smoothing strain fields and mitigating numerical discontinuities commonly encountered in standard finite element methods(FEMs).This method generates reliable datasets for stochastic simulations of slope stability under both static and seismic loading conditions.To address the computational expense of specific simulations,we propose the multi-downsampling hybrid Linformer-CNN model,a sophisticated DL architecture that employs dual parallel pathways with distinct downsampling strategies–AveragePooling1D for medium-scale feature extraction and MaxPooling1D for coarse-scale feature extraction.Each pathway integrates one-dimensional(1D)CNNs for local feature extraction and Linformer-based self-attention mechanisms to efficiently capture global dependencies.The parallel downsampling strategies balance computational efficiency with feature granularity,enabling the model to leverage both local and global data characteristics effectively.The extracted multi-scale features are concatenated and further processed through fully connected networks(FCNs)to accurately predict the factor of safety(FoS)of slopes.Comparative analyses demonstrate that the hybrid Linformer-CNN model outperforms traditional FCN and CNN architectures,achieving robust and precise predictions with a mean absolute percentage error(MAPE)below 10%.Additionally,the proposed framework significantly reduces computational time,highlighting the potential of integrating NS-FEM-based MFLA with advanced DL architectures for rapid and reliable slope stability assessment in geotechnical engineering.展开更多
Two-dimensional transition metal dichalcogenides(TMDs)have emerged as promising candidate materials for next-generation electronic and optoelectronic devices due to their exceptional carrier mobility,strong light-matt...Two-dimensional transition metal dichalcogenides(TMDs)have emerged as promising candidate materials for next-generation electronic and optoelectronic devices due to their exceptional carrier mobility,strong light-matter interactions,and remarkable mechanical flexibility[1].However,their transition from laboratory prototypes to industrial-scale manufacturing is fundamentally limited by van der Waals(vd W)contacts,which,in stark contrast to covalent bonding in silicon technologies,exhibit weak interfacial band coupling and low bonding strength,resulting in unacceptably high contact resistance(RC)and poor thermomechanical stability[2].展开更多
We consider the free boundary problem for the Euler-Fourier system that describes the motion of compressible, inviscid and heat-conducting fluids. The effect of surface tension is neglected and there is no heat flux a...We consider the free boundary problem for the Euler-Fourier system that describes the motion of compressible, inviscid and heat-conducting fluids. The effect of surface tension is neglected and there is no heat flux across the free boundary. We prove the local well-posedness of the problem in Lagrangian coordinates under the Taylor sign condition. The solution is produced as the limit of solutions to a sequence of tangentially-smoothed approximate problems, where the so-called corrector is crucially introduced beforehand in the temperature equation so that the approximate initial data satisfying the corresponding compatibility conditions can be constructed. To overcome the strong coupling effect between the Euler part and the Fourier part in solving the linearized approximate problem, we further regularize the temperature equation by a pseudoparabolic equation. Moreover, we prove the uniform estimates with respect to the Mach number of the solutions to the free-boundary Euler-Fourier system with large temperature variations for the well-prepared initial data,which allow us to justify the convergence towards the free-boundary inviscid low Mach number limit system by the strong compactness argument.展开更多
A core challenge in the diagnosis and treatment of esophageal cancer(EC)lies in accurately identifying patients who will benefit from neoadjuvant therapy(NAT).Yang et al reported a predictive model for NAT response in...A core challenge in the diagnosis and treatment of esophageal cancer(EC)lies in accurately identifying patients who will benefit from neoadjuvant therapy(NAT).Yang et al reported a predictive model for NAT response in EC,constructed using radiomics from T2-weighted magnetic resonance imaging(MRI)and machine learning.The model achieved an area under the curve of 0.932 in the training cohort and 0.900 in the validation cohort.While encouragingly,we urge caution with limitation.First,the study’s single-center,retrospective design with an insufficient sample size limits the model’s generalizability and significantly increases the risk of overfitting.Second,the study only extracted features from the T2-weighted MRI sequence,failing to integrate data from other functional MRI sequences such as diffusion-weighted imaging and dynamic contrast-enhanced MRI.Third,the model suffers from a"black box"issue regarding its extracted features—its low interpretability hinders clinicians’trust in and acceptance of the model.This editorial reviews the study by Yang et al,identifies its limitations,and puts forward in-depth suggestions to further optimize the model.展开更多
Let u(t,x)be the solution to the parabolic Anderson model onℝ+×ℝdriven by a space-time white Gaussian noise.In this paper,we prove the central limit theorem and almost sure central limit theorem for product of sp...Let u(t,x)be the solution to the parabolic Anderson model onℝ+×ℝdriven by a space-time white Gaussian noise.In this paper,we prove the central limit theorem and almost sure central limit theorem for product of spatial average of the form\(\prodolimits_{k=1}^{n}S_k\)as n→∞for fixed t>0,where\(S_k=\int_{0}^{k}u(t,x)dx\).展开更多
Liver transplantation(LT)remains the optimal life-saving intervention for patients with end-stage liver disease.Despite the recent advances in LT several barriers,including organ allocation,donor-recipient matching,an...Liver transplantation(LT)remains the optimal life-saving intervention for patients with end-stage liver disease.Despite the recent advances in LT several barriers,including organ allocation,donor-recipient matching,and patient education,persist.With the growing progress of artificial intelligence,particularly large language models(LLMs)like ChatGPT,new applications have emerged in the field of LT.Current studies demonstrating usage of ChatGPT in LT include various areas of application,from clinical settings to research and education.ChatGPT usage can benefit both healthcare professionals,by decreasing the time spent on non-clinical work,but also LT recipients by providing accurate information.Future potential applications include the expanding usage of ChatGPT and other LLMs in the field of LT pathology and radiology as well as the automated creation of discharge summaries or other related paperwork.Additionally,the next models of ChatGPT might have the potential to provide more accurate patient education material with increased readability.Although ChatGPT usage presents promising applications,there are certain ethical and practical limitations.Key concerns include patient data privacy,information accuracy,misinformation possibility and lack of legal framework.Healthcare providers and policymakers should collaborate for the establishment of a controlled framework for the safe use of ChatGPT.The aim of this minireview is to summarize current literature on ChatGPT in LT,highlighting both opportunities and limitations,while also providing future possible applications.展开更多
A highly sensitive,ultra-low detection limit 3-D DNA nanostructure biosensor based on functionalized reflective optical fiber probe(ROFP)is proposed and demonstrated.Our approach achieves a mass limit of detection of~...A highly sensitive,ultra-low detection limit 3-D DNA nanostructure biosensor based on functionalized reflective optical fiber probe(ROFP)is proposed and demonstrated.Our approach achieves a mass limit of detection of~10 aM based on the ROFP.A particular single-nucleotide mismatch sequence is also identified.The sensitivity of the proposed DNA biosensor is 1.51 nm/lgaM,about three-fold higher than using single-strand DNA probes(0.47 nm/lgaM)and with high specificity.The proposed ROFP has high compactness(with a length of~3 mm)which is convenient for sample detection with small volume and complex gradients in small spaces with high sensitivity.展开更多
Construction of electron donor-acceptor(D-A)conjugated system is an established strategy for achieving reverse saturable absorption(RSA)and broadband optical limiting(OL).Nevertheless,organic materials exhibit OL abil...Construction of electron donor-acceptor(D-A)conjugated system is an established strategy for achieving reverse saturable absorption(RSA)and broadband optical limiting(OL).Nevertheless,organic materials exhibit OL ability across the visible to near-infrared-II spectra range remain scarce.Herein,a series of D-A typeπ-conjugated copolymers with ultra-narrow bandgaps(0.62-0.76 e V)and strong ICT absorption were synthesized by coupling electron-withdrawing block[1,2,5]thiadiazolo[3,4-g]quinoxaline(TQ)with various electron-donating groups(thiophene,selenophene,bithiophene,di(thiophen-2-yl)ethene,and thienothiophene for P1-P5,respectively).Z-scan experiments reveal that all copolymers exhibit RSA behaviours at both 532 and 1064 nm,while P1,P3 and P4 maintain RSA performance extending to 1600 nm.Among all copolymers,P5 exhibits the strongest RSA performance upon both 532 and 1064 nm laser pulses,with the highest nonlinear absorption coefficient(βeff)of 51.5 and 49.4 cm·GW-1,respectively,and the lowest OL onset fluence(Fon)of 0.31 and 0.38 J·cm-2,respectively.In contrast,P4 shows optimal RSA property at 1600 nm laser pulse,withβeff of 13.1 cm·GW-1and Fon of 1.43 J·cm-2,respectively.Combining the results of Z-scan and UV-Vis-NIR experiments,it can be speculated that moderate ground-state absorption,rather than excessively strong absorption,favors superior RSA properties.This work offers valuable insights for designing copolymers with excellent RSA behavior,as well as presents a class of candidate material systems for ultrabroadband optical limiting.展开更多
This study examined the involvement of cytokinins in the process by which moderate water limitation(MWL) mediates nitrogen(N) remobilization from source to sink during the grain-filling phase in wheat.Field experiment...This study examined the involvement of cytokinins in the process by which moderate water limitation(MWL) mediates nitrogen(N) remobilization from source to sink during the grain-filling phase in wheat.Field experiments were performed using N application rates of low(LN),medium(MN),and high(HN).Two soil moisture regimes were implemented for each N rate:conventional well-watered(CWW) and MWL post anthesis.The MWL application optimized N,total free amino acids(FAA),and trans-zeatin(Z)+trans-zeatin riboside(ZR) reallocation from the source organs(stems and leaves) to the sink organ(spikes) in wheat.Compared to those in the CWW regime,the activities of proteolytic enzymes,including endopeptidase,carboxypeptidase,and aminopeptidase within stems and leaves,and the expression levels of total FAA transporter genes in spikes were significantly elevated in the MWL regime,showing a close correlation with the Z+ZR levels in the spikes.Application of kinetin to stems and leaves significantly inhibited proteolytic enzyme activities,promoting N retention in stems and leaves,decreasing N accumulation in the sink organ,and reducing the N harvest index.In contrast,applying kinetin to spikes significantly upregulated expression levels of FAA transporter genes,reducing N retention in stems and leaves,increasing N accumulation in the sink organ,and raising the N harvest index.Such facilitation induced by the MWL in the remobilization of N from source to sink was greater at HN than at LN or MN.Results demonstrate that postanthesis MWL can significantly intensify the remobilization of N from source to sink,while also synergistically enhancing grain yield and N use efficiency through strategically redistributing cytokinins(Z+ZR) between source and sink in wheat.展开更多
We examine the discrete Laplacian acting on a triangular lattice,introducing long-range perturbations to both the metric and the potential.Our goal is to establish a Limiting Absorption Principle away from possible em...We examine the discrete Laplacian acting on a triangular lattice,introducing long-range perturbations to both the metric and the potential.Our goal is to establish a Limiting Absorption Principle away from possible embedded eigenvalues.Our study relies on a positive commutator technique.展开更多
As underground chamber group structures increase,predicting excavation damage zones(EDZ)depth is crucial for maintaining chamber stability.Traditional prediction methods exhibit limitations in terms of accuracy and ef...As underground chamber group structures increase,predicting excavation damage zones(EDZ)depth is crucial for maintaining chamber stability.Traditional prediction methods exhibit limitations in terms of accuracy and efficiency.To address this,a predictive method integrating numerical simulations using the damage initiation and spalling limit(DISL)approach with Bayesian-optimized XGBoost(BOXGBoost)was developed.Initially,a FLAC3D numerical model was established,and 500 data groups were generated by adjusting the model parameters.BO-XGBoost was applied to predict the depths of the highly damaged zone(HDZ),inner EDZ(EDZi),and outer EDZ(EDZo).Subsequently,the evaluation was conducted using the root mean square error(RMSE),mean absolute error(MAE),variance accounted for(VAF),and coefficientof determination(R2).The results were compared with those of the light gradient boosting machine(LightGBM),back propagation neural network(BPNN),random forest(RF),and support vector machine(SVM),and a feature importance analysis was conducted.Finally,the method was applied to predict the EDZo depth of chambers in the Fankou lead-zinc mine.The results showed that BO-XGBoost demonstrates high predictive accuracy,outperforming the other models,with RMSE,MAE,VAF,and R2values for the depths of HDZ,EDZi,and EDZo of 0.053,0.041,89.8%,0.905;0.045,0.036,94.8%,0.958;and 0.064,0.051,95.4%,0.962,respectively.The chamber size and spacing significantlyinfluencethe EDZi and EDZo depths,with the excavation sequence causing variations in HDZ depth.In engineering applications,the EDZo depth prediction error for the chambers is within 5%,offering valuable insights for predicting EDZ depth in chamber groups.展开更多
The heterogeneous geological conditions of mixed ground in the Hualong Cross-River Passage Project in Guangdong Province,China,pose significant challenges to tunnel face stability during shield tunneling operations,le...The heterogeneous geological conditions of mixed ground in the Hualong Cross-River Passage Project in Guangdong Province,China,pose significant challenges to tunnel face stability during shield tunneling operations,leading to complex failure mechanisms that require systematic investigation.Currently,there is a lack of clear criteria for defining and distinguishing between US-LH(upper soft-lower hard)and UH-LS(upper hard-lower soft)strata,and the influence of these two types of strata on the failure mechanisms of the tunnel face remains unclear.This study quantitatively characterizes soft-over-hard ground distributions through the dimensionless strength ratio Q(qu/ql),where qu and ql represent the unconfined compressive strength of upper and lower strata respectively.The failure mechanism and limit support pressure of the tunnel face under varying strength ration Q were determined through numerical simulations.Two models were established based on the Q,namely the US-LH model(01).Comparative and parametric analyses were conducted to evaluate the rationality of the proposed model.Key findings reveal:(1)Differential failure zone evolution patterns,with US-LH conditions demonstrating progressive geometrical transformation from initial right-triangular to final trapezoidal configurations,while UH-LS ground maintain persistent right-triangular failure morphology;(2)Normalized pressureσp/γD displays consistent Q-dependent behavior across methodologies,characterized by three distinct phases:stability plateau(0<Q≤1/4),critical peak at Q=1,and subsequent decay to a constant level(Q≥4),with UH-LS ground requiring lower support pressures for maintaining tunnel face stability than US-LH counterparts;(3)Limit equilibrium analysis identifies 45°+φ/2 as the critical failure angle inducing maximum limit support pressure;(4)Parametric sensitivity analysis demonstrates Nc shows inverse proportionality with limit support pressure,while Nγand Nv exhibit strong positive correlations.A key contribution of this study lies in the introduction of an unconfined compressive strength ratio,enabling the prediction of the limit support pressure of the tunnel face under various conditions of soft-hard strata.This provides a theoretical basis for setting chamber pressure in practical engineering applications.展开更多
Background:Currently,there is a lack of an adequate rodent model for investigating sur-gical techniques and comprehensive treatment options for patients with colorectal can-cer(CRC).This study presents a mouse model t...Background:Currently,there is a lack of an adequate rodent model for investigating sur-gical techniques and comprehensive treatment options for patients with colorectal can-cer(CRC).This study presents a mouse model that involves the orthotopic implantation of colon cancer,followed by a limited colectomy,with the aim of addressing this issue.Methods:To establish an early colon tumor model,luciferase-tagged CT-26 cells were implanted into the ascending colon wall of BALB/c mice.After a 1-week observation period,a limited colectomy procedure was performed.The progression of cancer and the impact of resection were monitored using bioluminescence imaging.Additionally,both short-term and long-term effects of surgical intervention were assessed.Results:The study demonstrated a 100%success rate(40/40)in establishing the BALB/c mouse model of early colon cancer.The technical success rate of limited colec-tomy was also 100%,with no instances of early mortality or morbidity.After the limited colectomy procedure,none of the animals exhibited any primary tumors,bloody ascites,recurrence or local invasion,intestinal obstruction,lymph node metastasis,peritoneal seeding,or anastomotic leakage.Furthermore,there were no reported deaths during the postresection observation period in animals treated with limited colectomy.Conclusion:In summary,our research group has successfully described a novel and reproducible surgical resection model for colon cancer in mice,which reflects the clinical scenario.展开更多
With the deepening of the power system reform,an increasing number of microgrids are being integrated into the distribution network.In traditional centralized optimization algorithms,the optimal power flow model of th...With the deepening of the power system reform,an increasing number of microgrids are being integrated into the distribution network.In traditional centralized optimization algorithms,the optimal power flow model of the distribution network and the optimal scheduling model of microgrid clusters are directly coupled and solved simultaneously.This process involves extensive information exchange between the upper distribution network system and the lower microgrid clusters,which not only increases the communication burden but also prolongs computation time and raises computational complexity.Moreover,it requires excessive information sharing,making it difficult to achieve limited information exchange between the upper and lower systems.In this paper,an optimization model and solution method based on the analytical target cascading approach are proposed.First,a typical microgrid model is constructed.On this basis,a collaborative optimization model for the active distribution network(ADN)and microgrid clusters is established.The distribution network and the microgrid clusters are treated as a unified entity of interest,with their interconnection power represented as virtual generators and virtual loads to achieve decoupling.Finally,simulations based on the IEEE-33 node standard system are conducted.Compared with the centralized algorithm,the effectiveness of the analytical target cascading method in coordinating the distribution network and microgrid clusters is verified.The proposed approach reduces computational complexity and enables optimized operation with limited information exchange.展开更多
基金Supported by the National Key Research and Development Program of China(Nos.2023YFC3108205,2023YFC3108201)the National Natural Science Foundation of China(No.42306153)。
摘要Pelagic appendicularians,known for their rapid bloom capability,are important secondary producers and play essential roles in marine ecosystems.To assess the environmental adaptation of the most common appendicularian species Oikopleura dioica in Jiaozhou Bay,Shandong,China,its annual variations in abundance and body size were investigated monthly at 12 stations in 2011,and the relationship between somatic growth and gonadal development was compared with previously published laboratory data.Oikopleura dioica exhibited distinct seasonal abundance patterns,peaking in summer and autumn,particularly in the inner bay,reflecting its adaptation to the eutrophic conditions and high food availability.Compared to laboratory results,O.dioica in Jiaozhou Bay exhibited shorter body lengths,smaller gonad volumes,and earlier maturation at reduced body sizes,despite high natural chlorophyll-a concentration,suggesting that factors beyond food availability,such as resource competition and environmental stressors,may limit its growth in natural settings.Correlation analysis indicated that the somatic growth of natural O.dioica was primarily influenced by temperature,while gonadal development was related to chlorophyll-a concentration,and its population abundance was linked to food availability and the abundance of other zooplankton,such as copepods and jellyfish.It was suggested that the growth and recruitment of O.dioica were constrained by resource limitations in natural environments,further exacerbated by interactions with other zooplankton,including predation and competition.This study provides valuable data on the mechanisms underlying bio-environmental interactions and their spatiotemporal variations,offering critical insights into the ecological roles of appendicularians in marine ecosystems.
基金supported by the National Natural Science Foundation of China(22371165,U23A2095,22571298,22001146)the Scientific Research Project of the Education Department of Hubei Province(Q20211201)the 111 Project(D20015)。
摘要To date,heterometal-incorporated Keggin clusters,as an important branch of polyoxometalate chemistry,have remained limited to NbⅤ/MoⅥ/WⅥ-based Keggin architectures.In this work,we successfully designed and synthesized the first such structure based on p-block elements,taking into account spatial compatibility and the presence of an inactive shell.The resulting CTGU-SnC-19 cluster is a unique sandwich-type structure,featuring a central electron-donating{Bi2(NO3)4}2+moiety flanked by electron-accepting{γ-BiSn11}+units on both sides.It is also the largest tin-oxo structure with a heterometal cluster reported to date.Theoretical calculations indicate that each component of this sandwich-type structure works synergistically to promote efficient bidirectional electron transfer from the center toward both ends,significantly enhancing its third-order nonlinear optical property.Moreover,the excellent optical limiting performance of CTGUSnC-19 was experimentally demonstrated through the Z-scan measurements.This work provides new insights into the construction and property modulation of heterometal-incorporated Keggin clusters.
基金supported by grants from the National Research Foundation of Korea,funded by the Ministry of Science,ICT,and Future Planning(2022K1A4A8A01080312)by the Regional Innovation System&Education(RISE)program through the institute for Regional Innovation System&Education in Busan Metropolitan City,funded by the Ministry of Education(MOE)the Busan Metropolitan City,Republic of Korea(2025-RISE-02-004-11970001-01).
摘要As the steel industry is intended to be carbon-neutral,transitional solutions are required before full-scale hydrogen-based reduction becomes viable.One such strategy is the partial replacement of pulverized coal injection(PCI)with high-quality biocarbon in blast furnace(BF)operations.Raw biomass presents challenges,such as low grindability,high ash content,and low energy density,which can be mitigated through torrefaction and carbonization.This study evaluates the combustion behavior and injection limits of four biocarbon samples(mildly torrefied biomass(MTB),hard torrefied biomass(HTB),mildly carbonized biomass(MCB),and hard carbonized biomass(HCB))using thermogravimetric analysis(TGA),drop tube furnace(DTF),and laminar flow reactor(LFR)experiments.Results show that as biomass is carbonized,its combustion kinetics increasingly resemble those of PCI coal.Co-firing tests confirmed improved performance at higher blending ratios,especially with highly treated samples,such as HCB,due to enhanced fragmentation and char reactivity.Injection limits were determined based on combustion performance,heating value(±5 wt%of PCI coal),and ash content(<10 wt%).The MTB and HCB exceeded these limits at approximately 27-30 wt%blending,indicating the need for an adjusted fuel input.Overall,biocarbon shows strong potential as a PCI substitute,offering a feasible low-carbon pathway for existing BF systems.
基金Supported by the National Natural Science Foundation of China(No.42571135)the Open Research Fund of State Environmental Protection Key Laboratory of Aquatic Ecosystem Health in the Middle and Lower Reaches of Yangtze River(No.AEHKF2023007)+3 种基金the Independent Research Fund of State Environmental Protection Key Laboratory of Aquatic Ecosystem Health in the Middle and Lower Reaches of Yangtze River(No.AEHKF2024002)the Independent Research Fund from Jiangsu Provincial Public Welfare Research Institutions(No.GYYS2022108)the National Key Research and Development Program of China(No.2022YFC3204100)the Nanjing Institute of Geography and Limnology,Chinese Academy of Science(No.NIGLAS2022GS03)。
摘要Understanding the drivers of long-term changes in phytoplankton limiting factors is crucial for effective eutrophication management in lakes.This study focuses on Taihu Lake—a large,shallow lake—over the period 2007–2023,during which substantial climate variability and watershed management occurred.This study aims to characterize the temporal evolution of the limiting factors that constrain the final yield of phytoplankton in the lake,and to identify the key drivers of these shifts,with particular focus on summer periods when environmental conditions are most favorable for achieving maximum algal biomass.We revised the trophic state index(TSIr)to suit the Taihu Lake case and analyzed the long-term total nitrogen(TN),total phosphorus(TP),Secchi depth(SD),and chlorophyll-a(Chl-a)data to track changes in algal biomass constraints.Results reveal a transition from a predominantly light-limited algal biomass in the early years to the increased nutrient limitation,particularly N and N&P-co-limitation.This shift was evident in the evolving differences among TSIr sub-indices—TSIr(Chl a),TSIr(SD),TSIr(TN),and TSIr(TP).The observed transition was found primarily driven by sustained reductions in nutrient concentrations,especially TN,coupled with an improved light environment,as decreased wind speed reduced non-algal turbidity.The emergence of nutrient limitation re-established partially a positive coupling between Chl a and TN/TP in some areas of the lake,which differed from the decoupled patterns observed under light-limited conditions before 2020.Following this regime shift,continued TN and TP reductions post-2021 coincided with marked declines in Chl-a levels and bloom extent.Despite these improvements,Taihu Lake remains in a transitional phase,and light limitation remain to be dominant in most parts of the lake.Our ecosystemscale study demonstrated that dual N&P reduction is effective for treating shallow lakes.Furthermore,based on our results and by integrating reported thresholds from previous studies,we recommend TN concentrations of 0.69–0.80 mg/L and TP concentrations below 50μg/L as preliminary control targets for shallow eutrophic lakes.These findings offer critical insights for algal bloom prevention and control in Taihu Lake and similar system.
摘要The quality of cardiopulmonary resuscitation(CPR) significantly influences survival and neurological outcomes in patients with cardiac arrest(CA).Although mechanical chest compression devices and extracorporeal cardiopulmonary resuscitation(ECPR) have demonstrated some benefits,high-quality manual CPR remained the essential first step,particularly in resource-limited settings.In this study,we examined whether opportunities existed to improve manual CPR performance using preliminary data from our recent survey conducted in a province in western China.We aim to emphasize the importance of improving manual CPR quality before implementing advanced interventions.
基金supported by National Key R&D Program of China(2023YFA1608304 and 2022YFC2807302).
摘要Time-domain astronomy requires telescopes capable of rapid response and uninterrupted operation to observe light curves of transient astrophysical events in the shortest possible time.For equatorial telescopes,which are mainly used for meter-class telescopes,it is possible for the horizontal limit stop to interrupt the observation,especially during the pointing process as the telescope slews to the next object to observe.We discuss the procedures to estimate whether the horizontal limit stop will occur in the pointing process and propose an algorithm to prevent this.We consider several factors relating to the horizontal limit stop,including the latitude of the observation site,the current pointing of the telescope,the target pointing,the degree threshold of the horizontal limit stop,and the altitude threshold of the observable sky area for astronomy.Once factors are given,a set of discrimination procedures is conducted to determine whether the horizontal limit stop will be triggered in a single pointing process.If it is predicted to occur,then the telescope control software will alter the pointing course.Finally,we discuss some other related factors,such as the telescope’s two axes having different pointing speeds,and observation sites in the Southern Hemisphere.We demonstrate a method to keep equatorial astronomical telescopes away from the horizontal limit stop while in motion.This system can be beneficial if operating continuously for autonomous observations,to guarantee a rapid response for time-domain astronomy.
摘要This study presents a novel framework for evaluating slope stability in spatially variable soils by integrating a newly developed sequential limit analysis based on the Hellinger-Reissner functional,utilizing the node-based smoothed finite element method(NS-FEM),with a newly proposed deep learning(DL)approach termed multi-downsampling hybrid Linformer-convolutional neural networks(CNNs).The NS-FEM-based mixed formulation of limit analysis(MFLA)enhances computational accuracy and convergence by smoothing strain fields and mitigating numerical discontinuities commonly encountered in standard finite element methods(FEMs).This method generates reliable datasets for stochastic simulations of slope stability under both static and seismic loading conditions.To address the computational expense of specific simulations,we propose the multi-downsampling hybrid Linformer-CNN model,a sophisticated DL architecture that employs dual parallel pathways with distinct downsampling strategies–AveragePooling1D for medium-scale feature extraction and MaxPooling1D for coarse-scale feature extraction.Each pathway integrates one-dimensional(1D)CNNs for local feature extraction and Linformer-based self-attention mechanisms to efficiently capture global dependencies.The parallel downsampling strategies balance computational efficiency with feature granularity,enabling the model to leverage both local and global data characteristics effectively.The extracted multi-scale features are concatenated and further processed through fully connected networks(FCNs)to accurately predict the factor of safety(FoS)of slopes.Comparative analyses demonstrate that the hybrid Linformer-CNN model outperforms traditional FCN and CNN architectures,achieving robust and precise predictions with a mean absolute percentage error(MAPE)below 10%.Additionally,the proposed framework significantly reduces computational time,highlighting the potential of integrating NS-FEM-based MFLA with advanced DL architectures for rapid and reliable slope stability assessment in geotechnical engineering.
摘要Two-dimensional transition metal dichalcogenides(TMDs)have emerged as promising candidate materials for next-generation electronic and optoelectronic devices due to their exceptional carrier mobility,strong light-matter interactions,and remarkable mechanical flexibility[1].However,their transition from laboratory prototypes to industrial-scale manufacturing is fundamentally limited by van der Waals(vd W)contacts,which,in stark contrast to covalent bonding in silicon technologies,exhibit weak interfacial band coupling and low bonding strength,resulting in unacceptably high contact resistance(RC)and poor thermomechanical stability[2].
基金supported by National Natural Science Foundation of China (Grant No.12031006)supported by National Natural Science Foundation of China (Grant Nos.12171401 and 12231016)。
摘要We consider the free boundary problem for the Euler-Fourier system that describes the motion of compressible, inviscid and heat-conducting fluids. The effect of surface tension is neglected and there is no heat flux across the free boundary. We prove the local well-posedness of the problem in Lagrangian coordinates under the Taylor sign condition. The solution is produced as the limit of solutions to a sequence of tangentially-smoothed approximate problems, where the so-called corrector is crucially introduced beforehand in the temperature equation so that the approximate initial data satisfying the corresponding compatibility conditions can be constructed. To overcome the strong coupling effect between the Euler part and the Fourier part in solving the linearized approximate problem, we further regularize the temperature equation by a pseudoparabolic equation. Moreover, we prove the uniform estimates with respect to the Mach number of the solutions to the free-boundary Euler-Fourier system with large temperature variations for the well-prepared initial data,which allow us to justify the convergence towards the free-boundary inviscid low Mach number limit system by the strong compactness argument.
摘要A core challenge in the diagnosis and treatment of esophageal cancer(EC)lies in accurately identifying patients who will benefit from neoadjuvant therapy(NAT).Yang et al reported a predictive model for NAT response in EC,constructed using radiomics from T2-weighted magnetic resonance imaging(MRI)and machine learning.The model achieved an area under the curve of 0.932 in the training cohort and 0.900 in the validation cohort.While encouragingly,we urge caution with limitation.First,the study’s single-center,retrospective design with an insufficient sample size limits the model’s generalizability and significantly increases the risk of overfitting.Second,the study only extracted features from the T2-weighted MRI sequence,failing to integrate data from other functional MRI sequences such as diffusion-weighted imaging and dynamic contrast-enhanced MRI.Third,the model suffers from a"black box"issue regarding its extracted features—its low interpretability hinders clinicians’trust in and acceptance of the model.This editorial reviews the study by Yang et al,identifies its limitations,and puts forward in-depth suggestions to further optimize the model.
基金Supported by the Education Department of Jilin Province(Grant No.JJKH20261637KJ)the National Natural Science Foundation of China(Grant No.12171198)the Fundamental Research Funds for Central Universities。
摘要Let u(t,x)be the solution to the parabolic Anderson model onℝ+×ℝdriven by a space-time white Gaussian noise.In this paper,we prove the central limit theorem and almost sure central limit theorem for product of spatial average of the form\(\prodolimits_{k=1}^{n}S_k\)as n→∞for fixed t>0,where\(S_k=\int_{0}^{k}u(t,x)dx\).
摘要Liver transplantation(LT)remains the optimal life-saving intervention for patients with end-stage liver disease.Despite the recent advances in LT several barriers,including organ allocation,donor-recipient matching,and patient education,persist.With the growing progress of artificial intelligence,particularly large language models(LLMs)like ChatGPT,new applications have emerged in the field of LT.Current studies demonstrating usage of ChatGPT in LT include various areas of application,from clinical settings to research and education.ChatGPT usage can benefit both healthcare professionals,by decreasing the time spent on non-clinical work,but also LT recipients by providing accurate information.Future potential applications include the expanding usage of ChatGPT and other LLMs in the field of LT pathology and radiology as well as the automated creation of discharge summaries or other related paperwork.Additionally,the next models of ChatGPT might have the potential to provide more accurate patient education material with increased readability.Although ChatGPT usage presents promising applications,there are certain ethical and practical limitations.Key concerns include patient data privacy,information accuracy,misinformation possibility and lack of legal framework.Healthcare providers and policymakers should collaborate for the establishment of a controlled framework for the safe use of ChatGPT.The aim of this minireview is to summarize current literature on ChatGPT in LT,highlighting both opportunities and limitations,while also providing future possible applications.
基金supported by the Natural Science Foundation of the Jiangsu Higher Education Institutions of China(Grant Nos.25KJB416001 and 22KJB510034)the National Natural Science Foundation of China(Grant Nos.12174199 and 11704199)+5 种基金the Scientific Research Foundation for Highlevel Talents in Nanjing Vocational College of Information Technology(Grant No.YB202410)the China Postdoctoral Science Foundation(Grant No.2021M701765)General Program of Natural Science Foundation of Jiangsu Province(Grant No.BK20221330)Jiangsu University‘Blue Project’FundingPostgraduate Research&Practice Innovation Programs of Jiangsu ProvinceJiangsu Province Higher Education Teaching Reform Research Project(Grant No.2025JGYB487)。
摘要A highly sensitive,ultra-low detection limit 3-D DNA nanostructure biosensor based on functionalized reflective optical fiber probe(ROFP)is proposed and demonstrated.Our approach achieves a mass limit of detection of~10 aM based on the ROFP.A particular single-nucleotide mismatch sequence is also identified.The sensitivity of the proposed DNA biosensor is 1.51 nm/lgaM,about three-fold higher than using single-strand DNA probes(0.47 nm/lgaM)and with high specificity.The proposed ROFP has high compactness(with a length of~3 mm)which is convenient for sample detection with small volume and complex gradients in small spaces with high sensitivity.
基金supported by the National Natural Science Foundation of China(No.52102013)。
摘要Construction of electron donor-acceptor(D-A)conjugated system is an established strategy for achieving reverse saturable absorption(RSA)and broadband optical limiting(OL).Nevertheless,organic materials exhibit OL ability across the visible to near-infrared-II spectra range remain scarce.Herein,a series of D-A typeπ-conjugated copolymers with ultra-narrow bandgaps(0.62-0.76 e V)and strong ICT absorption were synthesized by coupling electron-withdrawing block[1,2,5]thiadiazolo[3,4-g]quinoxaline(TQ)with various electron-donating groups(thiophene,selenophene,bithiophene,di(thiophen-2-yl)ethene,and thienothiophene for P1-P5,respectively).Z-scan experiments reveal that all copolymers exhibit RSA behaviours at both 532 and 1064 nm,while P1,P3 and P4 maintain RSA performance extending to 1600 nm.Among all copolymers,P5 exhibits the strongest RSA performance upon both 532 and 1064 nm laser pulses,with the highest nonlinear absorption coefficient(βeff)of 51.5 and 49.4 cm·GW-1,respectively,and the lowest OL onset fluence(Fon)of 0.31 and 0.38 J·cm-2,respectively.In contrast,P4 shows optimal RSA property at 1600 nm laser pulse,withβeff of 13.1 cm·GW-1and Fon of 1.43 J·cm-2,respectively.Combining the results of Z-scan and UV-Vis-NIR experiments,it can be speculated that moderate ground-state absorption,rather than excessively strong absorption,favors superior RSA properties.This work offers valuable insights for designing copolymers with excellent RSA behavior,as well as presents a class of candidate material systems for ultrabroadband optical limiting.
基金supported by the National Natural Science Foundation of China (32572422 and 32272198)the Top Talent Supporting Program of Yangzhou University, China (YZU-2028-01)+1 种基金the Priority Academic Program Development of Jiangsu Higher Education Institutions, China (PAPD)the Government Funding to the Chinese University of Hong Kong State Key Laboratory of Agrobiotechnology via Innovation and Technology Commission, China (2022/23– 2023/24)。
摘要This study examined the involvement of cytokinins in the process by which moderate water limitation(MWL) mediates nitrogen(N) remobilization from source to sink during the grain-filling phase in wheat.Field experiments were performed using N application rates of low(LN),medium(MN),and high(HN).Two soil moisture regimes were implemented for each N rate:conventional well-watered(CWW) and MWL post anthesis.The MWL application optimized N,total free amino acids(FAA),and trans-zeatin(Z)+trans-zeatin riboside(ZR) reallocation from the source organs(stems and leaves) to the sink organ(spikes) in wheat.Compared to those in the CWW regime,the activities of proteolytic enzymes,including endopeptidase,carboxypeptidase,and aminopeptidase within stems and leaves,and the expression levels of total FAA transporter genes in spikes were significantly elevated in the MWL regime,showing a close correlation with the Z+ZR levels in the spikes.Application of kinetin to stems and leaves significantly inhibited proteolytic enzyme activities,promoting N retention in stems and leaves,decreasing N accumulation in the sink organ,and reducing the N harvest index.In contrast,applying kinetin to spikes significantly upregulated expression levels of FAA transporter genes,reducing N retention in stems and leaves,increasing N accumulation in the sink organ,and raising the N harvest index.Such facilitation induced by the MWL in the remobilization of N from source to sink was greater at HN than at LN or MN.Results demonstrate that postanthesis MWL can significantly intensify the remobilization of N from source to sink,while also synergistically enhancing grain yield and N use efficiency through strategically redistributing cytokinins(Z+ZR) between source and sink in wheat.
摘要We examine the discrete Laplacian acting on a triangular lattice,introducing long-range perturbations to both the metric and the potential.Our goal is to establish a Limiting Absorption Principle away from possible embedded eigenvalues.Our study relies on a positive commutator technique.
基金funding support from the National Natural Science Foundation of China(Grant Nos.12472409 and 52274105)China Postdoctoral Science Foundation(Grant No.2024M763077).
摘要As underground chamber group structures increase,predicting excavation damage zones(EDZ)depth is crucial for maintaining chamber stability.Traditional prediction methods exhibit limitations in terms of accuracy and efficiency.To address this,a predictive method integrating numerical simulations using the damage initiation and spalling limit(DISL)approach with Bayesian-optimized XGBoost(BOXGBoost)was developed.Initially,a FLAC3D numerical model was established,and 500 data groups were generated by adjusting the model parameters.BO-XGBoost was applied to predict the depths of the highly damaged zone(HDZ),inner EDZ(EDZi),and outer EDZ(EDZo).Subsequently,the evaluation was conducted using the root mean square error(RMSE),mean absolute error(MAE),variance accounted for(VAF),and coefficientof determination(R2).The results were compared with those of the light gradient boosting machine(LightGBM),back propagation neural network(BPNN),random forest(RF),and support vector machine(SVM),and a feature importance analysis was conducted.Finally,the method was applied to predict the EDZo depth of chambers in the Fankou lead-zinc mine.The results showed that BO-XGBoost demonstrates high predictive accuracy,outperforming the other models,with RMSE,MAE,VAF,and R2values for the depths of HDZ,EDZi,and EDZo of 0.053,0.041,89.8%,0.905;0.045,0.036,94.8%,0.958;and 0.064,0.051,95.4%,0.962,respectively.The chamber size and spacing significantlyinfluencethe EDZi and EDZo depths,with the excavation sequence causing variations in HDZ depth.In engineering applications,the EDZo depth prediction error for the chambers is within 5%,offering valuable insights for predicting EDZ depth in chamber groups.
基金supported by the Science and Technology Research and Development Plan of China Railway Group Co.,Ltd(K2023G042)the Shenzhen University 2035 Initiative(2022B007).
摘要The heterogeneous geological conditions of mixed ground in the Hualong Cross-River Passage Project in Guangdong Province,China,pose significant challenges to tunnel face stability during shield tunneling operations,leading to complex failure mechanisms that require systematic investigation.Currently,there is a lack of clear criteria for defining and distinguishing between US-LH(upper soft-lower hard)and UH-LS(upper hard-lower soft)strata,and the influence of these two types of strata on the failure mechanisms of the tunnel face remains unclear.This study quantitatively characterizes soft-over-hard ground distributions through the dimensionless strength ratio Q(qu/ql),where qu and ql represent the unconfined compressive strength of upper and lower strata respectively.The failure mechanism and limit support pressure of the tunnel face under varying strength ration Q were determined through numerical simulations.Two models were established based on the Q,namely the US-LH model(01).Comparative and parametric analyses were conducted to evaluate the rationality of the proposed model.Key findings reveal:(1)Differential failure zone evolution patterns,with US-LH conditions demonstrating progressive geometrical transformation from initial right-triangular to final trapezoidal configurations,while UH-LS ground maintain persistent right-triangular failure morphology;(2)Normalized pressureσp/γD displays consistent Q-dependent behavior across methodologies,characterized by three distinct phases:stability plateau(0<Q≤1/4),critical peak at Q=1,and subsequent decay to a constant level(Q≥4),with UH-LS ground requiring lower support pressures for maintaining tunnel face stability than US-LH counterparts;(3)Limit equilibrium analysis identifies 45°+φ/2 as the critical failure angle inducing maximum limit support pressure;(4)Parametric sensitivity analysis demonstrates Nc shows inverse proportionality with limit support pressure,while Nγand Nv exhibit strong positive correlations.A key contribution of this study lies in the introduction of an unconfined compressive strength ratio,enabling the prediction of the limit support pressure of the tunnel face under various conditions of soft-hard strata.This provides a theoretical basis for setting chamber pressure in practical engineering applications.
基金Liaoning Provincial Natural Science Foundations of China,Grant/Award Number:LJKZ1192Key Speciality Scientific Research Projects of Dalian University Affiliated Xinhua Hospital,Grant/Award Number:2022002Liaoning Provincial Science and Technology Plan Project,Grant/Award Number:2025-MS-20。
摘要Background:Currently,there is a lack of an adequate rodent model for investigating sur-gical techniques and comprehensive treatment options for patients with colorectal can-cer(CRC).This study presents a mouse model that involves the orthotopic implantation of colon cancer,followed by a limited colectomy,with the aim of addressing this issue.Methods:To establish an early colon tumor model,luciferase-tagged CT-26 cells were implanted into the ascending colon wall of BALB/c mice.After a 1-week observation period,a limited colectomy procedure was performed.The progression of cancer and the impact of resection were monitored using bioluminescence imaging.Additionally,both short-term and long-term effects of surgical intervention were assessed.Results:The study demonstrated a 100%success rate(40/40)in establishing the BALB/c mouse model of early colon cancer.The technical success rate of limited colec-tomy was also 100%,with no instances of early mortality or morbidity.After the limited colectomy procedure,none of the animals exhibited any primary tumors,bloody ascites,recurrence or local invasion,intestinal obstruction,lymph node metastasis,peritoneal seeding,or anastomotic leakage.Furthermore,there were no reported deaths during the postresection observation period in animals treated with limited colectomy.Conclusion:In summary,our research group has successfully described a novel and reproducible surgical resection model for colon cancer in mice,which reflects the clinical scenario.
基金funded by a technology project from the State Grid Corporation of China under grant number JC2024122.
摘要With the deepening of the power system reform,an increasing number of microgrids are being integrated into the distribution network.In traditional centralized optimization algorithms,the optimal power flow model of the distribution network and the optimal scheduling model of microgrid clusters are directly coupled and solved simultaneously.This process involves extensive information exchange between the upper distribution network system and the lower microgrid clusters,which not only increases the communication burden but also prolongs computation time and raises computational complexity.Moreover,it requires excessive information sharing,making it difficult to achieve limited information exchange between the upper and lower systems.In this paper,an optimization model and solution method based on the analytical target cascading approach are proposed.First,a typical microgrid model is constructed.On this basis,a collaborative optimization model for the active distribution network(ADN)and microgrid clusters is established.The distribution network and the microgrid clusters are treated as a unified entity of interest,with their interconnection power represented as virtual generators and virtual loads to achieve decoupling.Finally,simulations based on the IEEE-33 node standard system are conducted.Compared with the centralized algorithm,the effectiveness of the analytical target cascading method in coordinating the distribution network and microgrid clusters is verified.The proposed approach reduces computational complexity and enables optimized operation with limited information exchange.