Air blasts induced by rock-ice avalanches are common natural phenomena known for their far-field destructive impact.In this study,remote sensing images,eyewitness videos and numerical modelling were comprehensively ap...Air blasts induced by rock-ice avalanches are common natural phenomena known for their far-field destructive impact.In this study,remote sensing images,eyewitness videos and numerical modelling were comprehensively applied to analyze the initiation and propagation of the 2021 Chamoli avalancheinduced air blast.Our findings indicate that air blasts are observed from the avalanche source area to the Rishiganga valley,but nearly disappear in the Dhauliganga valley.The most intense air blast is concentrated on the left side of Ronti Gad valley,with maximum velocity and pressure estimated at over 70 m/s and 20 kPa,respectively.Such high pressure results in widespread tree breakage in the area.Based on the analysis of the Chamoli event,we further discussed the potential contribution of the avalanche flow regime,avalanche dynamics and geomorphology to the destructive potential of air blasts.Rapidly moved sliding mass can impart the air blast a high initial momentum,and this process will be exaggerated when the avalanche impacts valley walls at bends.However,when the rock-ice avalanche transforms into a debris-enriched flash flood,free water within the flowing mass can displace air,inhibiting the generation of air blasts.Our work offers new insights into the generation and propagation of rock-ice avalanche-induced air blasts,underscoring the importance of including this type of hazard during avalanche risk assessment in high-altitude glacial regions.展开更多
To find discriminating features in seismograms for the classification of mine seismic events,signal databases of blasts and microseismic events were established based on manual identification.Criteria including the re...To find discriminating features in seismograms for the classification of mine seismic events,signal databases of blasts and microseismic events were established based on manual identification.Criteria including the repetition of waveforms,tail decreasing,dominant frequency and occurrence time of day were considered in the establishment of the databases.Signals from databases of different types were drawn into a unified coordinate system.It is noticed that the starting-up angles of the two types tend to be concentrated into two different intervals.However,it is difficult to calculate the starting-up angle directly due to the inaccuracy of the P-wave arrival＇s picking.The slope value of the starting-up trend line,which was obtained by linear regression,was proposed to substitute the angle.Two slope values associated with the coordinates of the first peak and the maximum peak were extracted as the characteristic parameters.A statistical model with correct discrimination rate of greater than 97.1% was established by applying the Fisher discriminant analysis.展开更多
Microseismic monitoring system is one of the effective methods for deep mining geo-stress monitoring.The principle of microseismic monitoring system is to analyze the mechanical parameters contained in microseismic ev...Microseismic monitoring system is one of the effective methods for deep mining geo-stress monitoring.The principle of microseismic monitoring system is to analyze the mechanical parameters contained in microseismic events for providing accurate information of rockmass.The accurate identification of microseismic events and blasts determines the timeliness and accuracy of early warning of microseismic monitoring technology.An image identification model based on Convolutional Neural Network(CNN)is established in this paper for the seismic waveforms of microseismic events and blasts.Firstly,the training set,test set,and validation set are collected,which are composed of 5250,1500,and 750 seismic waveforms of microseismic events and blasts,respectively.The classified data sets are preprocessed and input into the constructed CNN in CPU mode for training.Results show that the accuracies of microseismic events and blasts are 99.46%and 99.33%in the test set,respectively.The accuracies of microseismic events and blasts are 100%and 98.13%in the validation set,respectively.The proposed method gives superior performance when compared with existed methods.The accuracies of models using logistic regression and artificial neural network(ANN)based on the same data set are 54.43%and 67.9%in the test set,respectively.Then,the ROC curves of the three models are obtained and compared,which show that the CNN gives an absolute advantage in this classification model when the original seismic waveform are used in training the model.It not only decreases the influence of individual differences in experience,but also removes the errors induced by source and waveform parameters.It is proved that the established discriminant method improves the efficiency and accuracy of microseismic data processing for monitoring rock instability and seismicity.展开更多
Koyna-Warna is a seismically active region, characterized by earthquakes triggered by loading of artificial water reservoirs. In this region quarrying is ongoing and sometimes the quarry blasts are confused with trigg...Koyna-Warna is a seismically active region, characterized by earthquakes triggered by loading of artificial water reservoirs. In this region quarrying is ongoing and sometimes the quarry blasts are confused with triggered seismic events. About 410 events around a known mining area were ob-served during January 2007-October 2013. In general the quarry blasts are carried out mostly during the day time. Based on this fact a well known method of [1] is implemented, which has the capability of detecting the areas of quarry blast activity. Also, discrimination of quarry blasts from earthquakes has been achieved by studying waveforms at key seismic stations located close to the quarrying area. Further, distinction is achieved through spectral analysis in the frequency band of 3 - 15 Hz. Ratio of day-time to night-time events, waveform pattern and spectral analysis approach confirm the presence of quarry blasts aligned south-east of the Warna reservoir.展开更多
This paper presents a time-efficient numerical approach to modelling high explosive(HE)blastwave propagation using Computational Fluid Dynamics(CFD).One of the main issues of using conventional CFD modelling in high e...This paper presents a time-efficient numerical approach to modelling high explosive(HE)blastwave propagation using Computational Fluid Dynamics(CFD).One of the main issues of using conventional CFD modelling in high explosive simulations is the ability to accurately define the initial blastwave properties that arise from the ignition and consequent explosion.Specialised codes often employ Jones-Wilkins-Lee(JWL)or similar equation of state(EOS)to simulate blasts.However,most available CFD codes are limited in terms of EOS modelling.They are restrictive to the Ideal Gas Law(IGL)for compressible flows,which is generally unsuitable for blast simulations.To this end,this paper presents a numerical approach to simulate blastwave propagation for any generic CFD code using the IGL EOS.A new method known as the Input Cavity Method(ICM)is defined where input conditions of the high explosives are given in the form of pressure,velocity and temperature time-history curves.These time history curves are input at a certain distance from the centre of the charge.It is shown that the ICM numerical method can accurately predict over-pressure and impulse time history at measured locations for the incident,reflective and complex multiple reflection scenarios with high numerical accuracy compared to experimental measurements.The ICM is compared to the Pressure Bubble Method(PBM),a common approach to replicating initial conditions for a high explosive in Finite Volume modelling.It is shown that the ICM outperforms the PBM on multiple fronts,such as peak values and overall overpressure curve shape.Finally,the paper also presents the importance of choosing an appropriate solver between the Pressure Based Solver(PBS)and Density-Based Solver(DBS)and provides the advantages and disadvantages of either choice.In general,it is shown that the PBS can resolve and capture the interactions of blastwaves to a higher degree of resolution than the DBS.This is achieved at a much higher computational cost,showing that the DBS is much preferred for quick turnarounds.展开更多
Cup-like nuclear morphological alterations in acute myeloid leukemia(AML)blasts have been widely correlated with Nucleophosmin 1(NPM1)mutations.NPM1-mutated AML has earned recognition as a distinct entity among myeloi...Cup-like nuclear morphological alterations in acute myeloid leukemia(AML)blasts have been widely correlated with Nucleophosmin 1(NPM1)mutations.NPM1-mutated AML has earned recognition as a distinct entity among myeloid tumors,but the absence of a thoroughly established tool for its morphological analysis remains a notable gap.Holographic tomography(HT)can offer a label-free solution for quantitatively assessing the 3D shape of the nucleus based on the volumetric variations of its refractive indices(RIs).However,traditional HT methods analyze adherent cells in a 2D layer,leading to non-isotropic reconstructions due to missing cone artifacts.Here we show for the first time that holo-tomographic flow cytometry(HTFC)achieves quantitative specificity and precise capture of the nucleus volumetric shape in AML cells in suspension.To retrieve nucleus specificity in label-free RI tomograms of flowing AML cells,we conceive and demonstrate in a real-world clinical case a novel strategy for segmenting 3D concave nuclei.This method implies that the correlation between the"phenotype"and"genotype"of nuclei is demonstrated through HTFC by creating a challenging link not yet explored between the aberrant morphological features of AML nuclei and NPM1 mutations.We conduct an ensemble-level statistical characterization of NPM1-wild type and NPM1-mutated blasts to discern their complex morphological and biophysical variances.Our findings suggest that characterizing cup-like nuclei in NPM1-related AML cells by HTFC may enhance the diagnostic approach for these tumors.Furthermore,we integrate virtual reality to provide an immersive fruition of morphological changes in AML cells within a true 3D environment.展开更多
The dynamic response and failure characteristics of tunnels vary significantly under various dynamic disturbances.These characteristics are crucial for assessing structural stability and designing effective support fo...The dynamic response and failure characteristics of tunnels vary significantly under various dynamic disturbances.These characteristics are crucial for assessing structural stability and designing effective support for surrounding rock.In this study,the theoretical solution for the dynamic stress concentration factor(DSCF)of a circular tunnel subjected to cylindrical and plane P-waves was derived using the wave function expansion method.The existing equivalent blast stress wave was optimized and the Ricker wavelet was introduced to represent the seismic stress waves.By combining Fourier transform and Duhamel’s integral,the transient response of the underground tunnel under near-field blasts and far-field earthquakes was determined in both the frequency and time domains.The theoretical results were validated by comparing them with those obtained from numerical simulations using ANSYS LS-DYNA software.Numerical simulations were conducted to further investigate the damage characteristics of the underground tunnel and evaluate the effect of initial stress on structural failure under both types of disturbances.The theoretical and numerical simulation results indicated that the differences in the dynamic response and damage characteristics of the underground tunnel were primarily due to the curvature of the stress waves and transient load waveform.The locations of the maximum DSCF values differed between near-field blasts and far-field earthquakes,whereas the minimum DSCF values occurred at the same positions.Without initial stress,the blast stress waves caused spalling damage to the rock mass on the wave-facing side.Shear failure occurred near the areas with maximum DSCF values,and tensile failure occurred near the areas with minimum DSCF values.In contrast,damage occurred only near the areas with maximum DSCF values under seismic stress waves.Furthermore,the initial stress exacerbated spalling and shear damage while suppressing tensile failure.Hence,the blast stress waves no longer induced tensile failure on the tunnel sidewalls under initial stress.展开更多
The purpose of this research is to demonstrate the use of Adaptive Neuro-Fuzzy Inference System(ANFIS)for discrimination between quarry blasts and microearthquakes in the Tehran region using data from the Broadband Ir...The purpose of this research is to demonstrate the use of Adaptive Neuro-Fuzzy Inference System(ANFIS)for discrimination between quarry blasts and microearthquakes in the Tehran region using data from the Broadband Iranian National Network Center(BIN).In the south and southeast of Tehran,a large number of quarry blasts“contaminate”the earthquake catalog.In order to identify the real seismicity(tectonic earthquakes)in the region,we need to discriminate quarry blasts from natural earthquakes in the catalog.展开更多
Natural and human-made hazards pose significant risks to bridges,disrupting transportation systems and causing severe economic and social impacts.Earthquakes and blasts are particularly critical in evaluating long-ter...Natural and human-made hazards pose significant risks to bridges,disrupting transportation systems and causing severe economic and social impacts.Earthquakes and blasts are particularly critical in evaluating long-term bridge resilience.Current resilience assessment methods,however,focus primarily on single and deterministic hazards,neglecting the uncertainty associated with hazard randomness,hazard interrelationship,structural robustness,and variability in restoration.This can underestimate risks and lead to structural failures,highlighting a critical knowledge gap.This paper proposes a novel approach to assess bridge resilience under multi-hazards,specifically earthquakes and blasts.The approach incorporates underexplored uncertainties,accounts for damage accumulation through state-dependent fragility,and introduces the resilience quantification probabilistically.An illustrative case study demonstrates its application,showing that hazard randomness,particularly the sequence and timing of sequential hazards during restoration,significantly influences bridge resilience.The findings emphasize the importance of detailed and probabilistic consideration of hazard randomness and interrelationship in the multi-hazard context.The proposed approach has the potential for broader application to other hazard types and structural systems,addressing an urgent need for resilience assessment in infrastructure systems subjected to multiple hazards.展开更多
Background Rapid clearance of peripheral blood blasts （PBBs） predicts complete remission （CR） and survival in patients with acute myeloid leukemia （AML）.We aimed to explore the correlation between induction ther...Background Rapid clearance of peripheral blood blasts （PBBs） predicts complete remission （CR） and survival in patients with acute myeloid leukemia （AML）.We aimed to explore the correlation between induction therapy response,outcome,and the PBB percentage.Methods Forty-six consecutive patients with de novo AML （excluding acute promyelocytic leukemia） were enrolled in this study.Flow cytometry was performed to identify cells with a leukemia-associated aberrant immunophenotype in the initial bone marrow aspirate and in peripheral blood on day 7 of induction therapy.Results The PBB percentage on day 7 （D7PBBP） was significantly lower in patients who achieved CR （0.03% （0.0%,0.45%）） than in those who did not （10.85% （1.13%,19.38%）; u =-3.92,P 〈0.001）.The CR rate was significantly higher among patients with a D7PBBP of 〈0.945% （84.62%,22/26） than among those with a D7PBBP of 〉0.945% （25.0%,5/20;Х^2 =16.571,P 〈0.001）.D7PBBP was significantly correlated with overall survival （OS; r=-0.437,P=0.003） and relapsefree survival （RFS; r=-0.388,P=0.007）.OS and RFS were significantly higher in patients with a D7PBBP of 〈0.43% than in those with a D7PBBP of 〉0.43% （P 〈0.001 and P=0.039,respectively）.D7PBBP was also found to be an independent prognostic indicator in multivariate analysis for both OS （P=-0.036） and RFS （P=0.035）.Conclusion D7PBBP may be an important risk factor for the achievement of complete remission,for overall survival,and for relapse-free survival.展开更多
This research is focused on the calculation of a reasonable detonator delay time for realizing cut blast vibration control.First,the viscoelastic rock mass parameters corresponding to the engineering rock mass quality...This research is focused on the calculation of a reasonable detonator delay time for realizing cut blast vibration control.First,the viscoelastic rock mass parameters corresponding to the engineering rock mass quality classification were determined based on wave theory of Kelvin medium.Then,a calculation model was obtained for the millisecond-delay cut blast vibration in Kelvin media using the Starfield charge superposition principle.Further,the influence of the delay time on the cut blast vibration was quantitatively analyzed and a method for calculating the reasonable cut blasting millisecond delay time is proposed according to the principle of dimensional analysis.Finally,field tests were used to verify the applicability of the method.The results show that 5 ms to 20 ms is a better detonator delay time range and cut blasting vibration can be effectively controlled using the delay time calculated by the calculation model described in this paper.展开更多
Residents living near drill-and-blast tunnels often experience disturbances from blasting operations.This motivates us to investigate the characteristics of airblasts and resulting noise through on-site monitoring at ...Residents living near drill-and-blast tunnels often experience disturbances from blasting operations.This motivates us to investigate the characteristics of airblasts and resulting noise through on-site monitoring at three tunnels.The research focuses on both the temporal evolution and spatial propagation of airblasts.Temporal analysis,including peak overpressure(POp),positive duration(PD),and Fourier main frequency(MF),emphasizes the relationship between airblast characteristics,blasting delays,and rock grade.It shows that airblast bandwidths are typically in the range of 3e200 Hz,with noise levels exceeding 130 dB,which is comparable to jet engines and rocket launch.Spatial propagation analysis reveals the impact of tunnel space on airblast propagation.Although POp and PD typically decrease with distance inside the tunnel,wave superposition can cause increased overpressure and prolonged durations at far-field distances(above 60 m kg^(-1/3)).Outside the tunnel,sound radiation was influenced by azimuth and was basically determined by sound power d an often-overlooked factor.To address the anisotropic propagation of airblasts,a predictive model was proposed for external noise levels,considering variables like distance,azimuth angle,initial sound power,and wave expansion.Validated by tests,this model successfully unifies data from three studies,helping to explain and predict airblast disturbances near tunnels.展开更多
Automated classification of gas flow states in blast furnaces using top-camera imagery typically demands a large volume of labeled data,whose manual annotation is both labor-intensive and cost-prohibitive.To mitigate ...Automated classification of gas flow states in blast furnaces using top-camera imagery typically demands a large volume of labeled data,whose manual annotation is both labor-intensive and cost-prohibitive.To mitigate this challenge,we present an enhanced semi-supervised learning approach based on the Mean Teacher framework,incorporating a novel feature loss module to maximize classification performance with limited labeled samples.The model studies show that the proposed model surpasses both the baseline Mean Teacher model and fully supervised method in accuracy.Specifically,for datasets with 20%,30%,and 40%label ratios,using a single training iteration,the model yields accuracies of 78.61%,82.21%,and 85.2%,respectively,while multiple-cycle training iterations achieves 82.09%,81.97%,and 81.59%,respectively.Furthermore,scenario-specific training schemes are introduced to support diverse deployment need.These findings highlight the potential of the proposed technique in minimizing labeling requirements and advancing intelligent blast furnace diagnostics.展开更多
北京时间11月30日晚间,BLAST Slam V成都站入围赛正式开赛。尽管在此前的小组赛阶段,四支中国队的表现并不能令观众满意,名次最高的是小组排名第六,但胜率却不到50%的Tidebound战队,而另外的三支战队XG、YB和Tearlaments则全部落入小组...北京时间11月30日晚间,BLAST Slam V成都站入围赛正式开赛。尽管在此前的小组赛阶段,四支中国队的表现并不能令观众满意,名次最高的是小组排名第六,但胜率却不到50%的Tidebound战队,而另外的三支战队XG、YB和Tearlaments则全部落入小组后四名。好在小组赛并设置淘汰机制,只是排名靠后的三支中国队必须从入围赛首轮开打。最终XG有惊无险地以2∶1的比分战胜Tearlaments,而YB则轻松战胜Execration进入下一轮。展开更多
Unbonded post-tensioned(PT)concrete systems are widely used in safety-critical structures,yet model-ing practices for prestress implementation and tendon-concrete interaction remain inconsistent.This study investigate...Unbonded post-tensioned(PT)concrete systems are widely used in safety-critical structures,yet model-ing practices for prestress implementation and tendon-concrete interaction remain inconsistent.This study investigates the effects of sheath(duct)implementation and confinement assumptions through nonlinear finite element analysis.Four modeling cases were defined,consisting of an explicit sheath without tendon-concrete confinement(S)and three no-sheath variants with different confinement levels(X,N,A).One-way beams and two-way panels were analyzed,and panel blast responses were validated against experimental results.In both beams and panels,average initial stress levels were similar across models,through local stress concentrations appeared when the sheath was modeled.Under blast loading,these local effects became critical,and the sheath-implemented model reproduced experimental behavior most accurately,whereas non-implemented models deviated.Reduced blast intensity diminished the differences among models,thereby reaffirming that sheath-induced localization and damage propagation are critical factors.These findings highlight the importance of explicit sheath implementation for realistic numerical assessment of unbonded PT structures under extreme loads.展开更多
Traditional mining in open pit mines often uses explosives,leading to environmental hazards,with flyrock being a critical issue.In detail,excess flying rock beyond the designated explosion area was identified as the p...Traditional mining in open pit mines often uses explosives,leading to environmental hazards,with flyrock being a critical issue.In detail,excess flying rock beyond the designated explosion area was identified as the primary cause of fatal and non-fatal blasting hazards in open pit mining.Therefore,the accurate and reliable prediction of flyrock becomes crucial for effectively managing and mitigating associated problems.This study used the Light Gradient Boosting Machine(LightGBM)model to predict flyrock in a lead-zinc mine,with promising results.To improve its accuracy,multi-verse optimizer(MVO)and ant lion optimizer(ALO)metaheuristic algorithms were introduced.Results showed MVO-LightGBM outperformed conventional LightGBM.Additionally,decision tree(DT),support vector machine(SVM),and classification and regression tree(CART)models were trained and compared with MVO-LightGBM.The MVO-LightGBM model excelled over DT,SVM,and CART.This study highlights MVO-LightGBM's effectiveness and potential for broader applications.Furthermore,a multiple parametric sensitivity analysis(MPSA)algorithm was employed to specify the sensitivity of parameters.MPSA results indicated that the highest and lowest sensitivities are relevant to blasted rock per hole and spacing with theγ=1752.12 andγ=49.52,respectively.展开更多
2025年11月14日,随着中国香港亚洲国际博览馆这个1.2万人的场馆屏幕上映现出李小龙的画面和声音,2025 BLAST Premier Rivals中国香港(以下简称BLAST中国香港)第一天线下比赛在两块红色屏幕的倒计时中开始。作为中国香港首个S级电竞赛事...2025年11月14日,随着中国香港亚洲国际博览馆这个1.2万人的场馆屏幕上映现出李小龙的画面和声音,2025 BLAST Premier Rivals中国香港(以下简称BLAST中国香港)第一天线下比赛在两块红色屏幕的倒计时中开始。作为中国香港首个S级电竞赛事的落地,BLAST中国香港在本次举办过程中获得了诸多第一。展开更多
Background:Breakpoint Cluster Region-Abelson(BCR::ABL1)fusion protein is essential in the pathogenesis of chronic myeloid leukemia(CML);however,the chronic-to-blast phase transformation remains elusive.We identified n...Background:Breakpoint Cluster Region-Abelson(BCR::ABL1)fusion protein is essential in the pathogenesis of chronic myeloid leukemia(CML);however,the chronic-to-blast phase transformation remains elusive.We identified novel kinesin light chain 2(KLC2)mutations in CML-myeloid blast phase patients.We aimed to examine the functional role of KLC2 mutations in leukemogenesis.Methods:To evaluate the biological role of KLC2 mutants(MT)in CML cells,we expressed KLC2-MT in different human CML cell lines harboring BCR::ABL1 and performed immunoblot,immunofluorescence,cell proliferation,differentiation,and apoptosis;Tyrosine kinase inhibitor(TKI)-drug activities;and clonogenic assays for in vitro functional analyses.We co-expressed KLC2-MT and BCR::ABL1 in mouse bone marrow cells(BMCs)to evaluate their clonogenic and self-renewal abilities ex vivo.Furthermore,we examined tumorigenic activity and drug efficacy in the K562 xenograft model.Results:KLC2-MT overexpression in BCR::ABL1-positive K562 and KU812 CML cells promoted cell proliferation and clonogenic potential,decreased imatinib sensitivity,and reduced apoptosis.Serial colony replating assays revealed that KLC2-MT and BCR::ABL1 co-expression enhanced the self-renewal ability of mouse BMCs with immature morphology.In the K562 xenograft model,KLC2-MT enhanced tumorigenic potential and diminished imatinib efficacy.Further studies reported that KLC2-MT augmented signal transducer and activator of transcription 3(STAT3)activation and nuclear accumulation in imatinib-treated CML cells.KLC2-WT and KLC2-MT interacted with mothers against decapentaplegic homolog 2(SMAD2);however,the latter impaired transforming growth factor-beta(TGF-β)–mediated SMAD2/3 activation while enhancing STAT3 phosphorylation.Conclusions:This study demonstrates the biological and functional importance of KLC2 mutation in CML cells,potentially enabling the development of better treatment strategies for CML patients carrying KLC2 mutations and providing enhanced understanding of the disease progression.展开更多
IN May of 1998, at the Italian Open Tennis Championship, Chinese player Li Fang won in straight sets over Martina Hingis, the top seeded player in the world. With this win, Li re-entered the world top fifty. No Chines...IN May of 1998, at the Italian Open Tennis Championship, Chinese player Li Fang won in straight sets over Martina Hingis, the top seeded player in the world. With this win, Li re-entered the world top fifty. No Chinese tennis player had ever cracked the world top 100 before. Seventeen years earlier, during the summer of 1981, eight-year-old Li Fang had been admitted by the part-time sports training school of Xiangtan Steelworks of Hunan Province to play tennis. The展开更多
美国国家航空和宇宙航行局(NASA)对火星的探索在不断深化。火星气象卫星的升空将完成两项使命:to study the planet's thin,frigidatmosphere以及 map its barren,rugged landscape.这篇短文遣词很讲究。Trailing a brilliant tongu...美国国家航空和宇宙航行局(NASA)对火星的探索在不断深化。火星气象卫星的升空将完成两项使命:to study the planet's thin,frigidatmosphere以及 map its barren,rugged landscape.这篇短文遣词很讲究。Trailing a brilliant tongue of fire,the rocket streaked skyward and promptlydisappeared from view behind the clouds.一句里的分词短语Trailing a brillianttongue of fire和动词义streaked(skyward)就值得玩味一番。展开更多
基金supported by the National Natural Science Foundation of China(Grant Nos.U2244227,42277126 and 41977215).
文摘Air blasts induced by rock-ice avalanches are common natural phenomena known for their far-field destructive impact.In this study,remote sensing images,eyewitness videos and numerical modelling were comprehensively applied to analyze the initiation and propagation of the 2021 Chamoli avalancheinduced air blast.Our findings indicate that air blasts are observed from the avalanche source area to the Rishiganga valley,but nearly disappear in the Dhauliganga valley.The most intense air blast is concentrated on the left side of Ronti Gad valley,with maximum velocity and pressure estimated at over 70 m/s and 20 kPa,respectively.Such high pressure results in widespread tree breakage in the area.Based on the analysis of the Chamoli event,we further discussed the potential contribution of the avalanche flow regime,avalanche dynamics and geomorphology to the destructive potential of air blasts.Rapidly moved sliding mass can impart the air blast a high initial momentum,and this process will be exaggerated when the avalanche impacts valley walls at bends.However,when the rock-ice avalanche transforms into a debris-enriched flash flood,free water within the flowing mass can displace air,inhibiting the generation of air blasts.Our work offers new insights into the generation and propagation of rock-ice avalanche-induced air blasts,underscoring the importance of including this type of hazard during avalanche risk assessment in high-altitude glacial regions.
基金Projects(51374244,11447241)supported by the National Natural Science Foundation of China
文摘To find discriminating features in seismograms for the classification of mine seismic events,signal databases of blasts and microseismic events were established based on manual identification.Criteria including the repetition of waveforms,tail decreasing,dominant frequency and occurrence time of day were considered in the establishment of the databases.Signals from databases of different types were drawn into a unified coordinate system.It is noticed that the starting-up angles of the two types tend to be concentrated into two different intervals.However,it is difficult to calculate the starting-up angle directly due to the inaccuracy of the P-wave arrival＇s picking.The slope value of the starting-up trend line,which was obtained by linear regression,was proposed to substitute the angle.Two slope values associated with the coordinates of the first peak and the maximum peak were extracted as the characteristic parameters.A statistical model with correct discrimination rate of greater than 97.1% was established by applying the Fisher discriminant analysis.
基金Projects(51822407,51774327,51664016)supported by the National Natural Science Foundation of China。
文摘Microseismic monitoring system is one of the effective methods for deep mining geo-stress monitoring.The principle of microseismic monitoring system is to analyze the mechanical parameters contained in microseismic events for providing accurate information of rockmass.The accurate identification of microseismic events and blasts determines the timeliness and accuracy of early warning of microseismic monitoring technology.An image identification model based on Convolutional Neural Network(CNN)is established in this paper for the seismic waveforms of microseismic events and blasts.Firstly,the training set,test set,and validation set are collected,which are composed of 5250,1500,and 750 seismic waveforms of microseismic events and blasts,respectively.The classified data sets are preprocessed and input into the constructed CNN in CPU mode for training.Results show that the accuracies of microseismic events and blasts are 99.46%and 99.33%in the test set,respectively.The accuracies of microseismic events and blasts are 100%and 98.13%in the validation set,respectively.The proposed method gives superior performance when compared with existed methods.The accuracies of models using logistic regression and artificial neural network(ANN)based on the same data set are 54.43%and 67.9%in the test set,respectively.Then,the ROC curves of the three models are obtained and compared,which show that the CNN gives an absolute advantage in this classification model when the original seismic waveform are used in training the model.It not only decreases the influence of individual differences in experience,but also removes the errors induced by source and waveform parameters.It is proved that the established discriminant method improves the efficiency and accuracy of microseismic data processing for monitoring rock instability and seismicity.
文摘Koyna-Warna is a seismically active region, characterized by earthquakes triggered by loading of artificial water reservoirs. In this region quarrying is ongoing and sometimes the quarry blasts are confused with triggered seismic events. About 410 events around a known mining area were ob-served during January 2007-October 2013. In general the quarry blasts are carried out mostly during the day time. Based on this fact a well known method of [1] is implemented, which has the capability of detecting the areas of quarry blast activity. Also, discrimination of quarry blasts from earthquakes has been achieved by studying waveforms at key seismic stations located close to the quarrying area. Further, distinction is achieved through spectral analysis in the frequency band of 3 - 15 Hz. Ratio of day-time to night-time events, waveform pattern and spectral analysis approach confirm the presence of quarry blasts aligned south-east of the Warna reservoir.
文摘This paper presents a time-efficient numerical approach to modelling high explosive(HE)blastwave propagation using Computational Fluid Dynamics(CFD).One of the main issues of using conventional CFD modelling in high explosive simulations is the ability to accurately define the initial blastwave properties that arise from the ignition and consequent explosion.Specialised codes often employ Jones-Wilkins-Lee(JWL)or similar equation of state(EOS)to simulate blasts.However,most available CFD codes are limited in terms of EOS modelling.They are restrictive to the Ideal Gas Law(IGL)for compressible flows,which is generally unsuitable for blast simulations.To this end,this paper presents a numerical approach to simulate blastwave propagation for any generic CFD code using the IGL EOS.A new method known as the Input Cavity Method(ICM)is defined where input conditions of the high explosives are given in the form of pressure,velocity and temperature time-history curves.These time history curves are input at a certain distance from the centre of the charge.It is shown that the ICM numerical method can accurately predict over-pressure and impulse time history at measured locations for the incident,reflective and complex multiple reflection scenarios with high numerical accuracy compared to experimental measurements.The ICM is compared to the Pressure Bubble Method(PBM),a common approach to replicating initial conditions for a high explosive in Finite Volume modelling.It is shown that the ICM outperforms the PBM on multiple fronts,such as peak values and overall overpressure curve shape.Finally,the paper also presents the importance of choosing an appropriate solver between the Pressure Based Solver(PBS)and Density-Based Solver(DBS)and provides the advantages and disadvantages of either choice.In general,it is shown that the PBS can resolve and capture the interactions of blastwaves to a higher degree of resolution than the DBS.This is achieved at a much higher computational cost,showing that the DBS is much preferred for quick turnarounds.
基金supported by the project PRIN 2022 PNRR—flow-cytometry ImaGing by Holographic tomography for predicting TUMor control in Oncology patients treated with Radiotherapy(FIGHT-TUMOR),Prot.P2022ATE2J—funded by the Italian Ministry of University&Research in the framework of Next Generation EUby project“CITOM”—Programma AMICO 2,CNR—UVR—within the PoC 2022—PNRR funded by the Italian Ministry of Business and Made in Italy—UIBM in the framework of Next Generation EUby#NEXTGENERATIONEU(NGEU),Ministry of University and Research(MUR),National Recovery and Resilience Plan(NRRP),project MNESYS(PE0000006)—a multiscale integrated approach to the study of the nervous system in health and disease(DN.155311.10.2022)。
文摘Cup-like nuclear morphological alterations in acute myeloid leukemia(AML)blasts have been widely correlated with Nucleophosmin 1(NPM1)mutations.NPM1-mutated AML has earned recognition as a distinct entity among myeloid tumors,but the absence of a thoroughly established tool for its morphological analysis remains a notable gap.Holographic tomography(HT)can offer a label-free solution for quantitatively assessing the 3D shape of the nucleus based on the volumetric variations of its refractive indices(RIs).However,traditional HT methods analyze adherent cells in a 2D layer,leading to non-isotropic reconstructions due to missing cone artifacts.Here we show for the first time that holo-tomographic flow cytometry(HTFC)achieves quantitative specificity and precise capture of the nucleus volumetric shape in AML cells in suspension.To retrieve nucleus specificity in label-free RI tomograms of flowing AML cells,we conceive and demonstrate in a real-world clinical case a novel strategy for segmenting 3D concave nuclei.This method implies that the correlation between the"phenotype"and"genotype"of nuclei is demonstrated through HTFC by creating a challenging link not yet explored between the aberrant morphological features of AML nuclei and NPM1 mutations.We conduct an ensemble-level statistical characterization of NPM1-wild type and NPM1-mutated blasts to discern their complex morphological and biophysical variances.Our findings suggest that characterizing cup-like nuclei in NPM1-related AML cells by HTFC may enhance the diagnostic approach for these tumors.Furthermore,we integrate virtual reality to provide an immersive fruition of morphological changes in AML cells within a true 3D environment.
基金supported by the National Natural Science Foundation of China(Grant Nos.52334003 and 52274105)the Fundamental Research Funds for the Central Universities of Central South University(Grant No.CX20240263).
文摘The dynamic response and failure characteristics of tunnels vary significantly under various dynamic disturbances.These characteristics are crucial for assessing structural stability and designing effective support for surrounding rock.In this study,the theoretical solution for the dynamic stress concentration factor(DSCF)of a circular tunnel subjected to cylindrical and plane P-waves was derived using the wave function expansion method.The existing equivalent blast stress wave was optimized and the Ricker wavelet was introduced to represent the seismic stress waves.By combining Fourier transform and Duhamel’s integral,the transient response of the underground tunnel under near-field blasts and far-field earthquakes was determined in both the frequency and time domains.The theoretical results were validated by comparing them with those obtained from numerical simulations using ANSYS LS-DYNA software.Numerical simulations were conducted to further investigate the damage characteristics of the underground tunnel and evaluate the effect of initial stress on structural failure under both types of disturbances.The theoretical and numerical simulation results indicated that the differences in the dynamic response and damage characteristics of the underground tunnel were primarily due to the curvature of the stress waves and transient load waveform.The locations of the maximum DSCF values differed between near-field blasts and far-field earthquakes,whereas the minimum DSCF values occurred at the same positions.Without initial stress,the blast stress waves caused spalling damage to the rock mass on the wave-facing side.Shear failure occurred near the areas with maximum DSCF values,and tensile failure occurred near the areas with minimum DSCF values.In contrast,damage occurred only near the areas with maximum DSCF values under seismic stress waves.Furthermore,the initial stress exacerbated spalling and shear damage while suppressing tensile failure.Hence,the blast stress waves no longer induced tensile failure on the tunnel sidewalls under initial stress.
文摘The purpose of this research is to demonstrate the use of Adaptive Neuro-Fuzzy Inference System(ANFIS)for discrimination between quarry blasts and microearthquakes in the Tehran region using data from the Broadband Iranian National Network Center(BIN).In the south and southeast of Tehran,a large number of quarry blasts“contaminate”the earthquake catalog.In order to identify the real seismicity(tectonic earthquakes)in the region,we need to discriminate quarry blasts from natural earthquakes in the catalog.
基金funded by the National Key Research and Development Program of China(Grant No.2019YFE0112300).
文摘Natural and human-made hazards pose significant risks to bridges,disrupting transportation systems and causing severe economic and social impacts.Earthquakes and blasts are particularly critical in evaluating long-term bridge resilience.Current resilience assessment methods,however,focus primarily on single and deterministic hazards,neglecting the uncertainty associated with hazard randomness,hazard interrelationship,structural robustness,and variability in restoration.This can underestimate risks and lead to structural failures,highlighting a critical knowledge gap.This paper proposes a novel approach to assess bridge resilience under multi-hazards,specifically earthquakes and blasts.The approach incorporates underexplored uncertainties,accounts for damage accumulation through state-dependent fragility,and introduces the resilience quantification probabilistically.An illustrative case study demonstrates its application,showing that hazard randomness,particularly the sequence and timing of sequential hazards during restoration,significantly influences bridge resilience.The findings emphasize the importance of detailed and probabilistic consideration of hazard randomness and interrelationship in the multi-hazard context.The proposed approach has the potential for broader application to other hazard types and structural systems,addressing an urgent need for resilience assessment in infrastructure systems subjected to multiple hazards.
基金This work was supported by the Science Foundation of Jilin Province （No. 201115049）.Acknowledgements： We thank Cancer Center of the First Hospital, Bethune Medical College of Jilin University, for their assistance in this work.
文摘Background Rapid clearance of peripheral blood blasts （PBBs） predicts complete remission （CR） and survival in patients with acute myeloid leukemia （AML）.We aimed to explore the correlation between induction therapy response,outcome,and the PBB percentage.Methods Forty-six consecutive patients with de novo AML （excluding acute promyelocytic leukemia） were enrolled in this study.Flow cytometry was performed to identify cells with a leukemia-associated aberrant immunophenotype in the initial bone marrow aspirate and in peripheral blood on day 7 of induction therapy.Results The PBB percentage on day 7 （D7PBBP） was significantly lower in patients who achieved CR （0.03% （0.0%,0.45%）） than in those who did not （10.85% （1.13%,19.38%）; u =-3.92,P 〈0.001）.The CR rate was significantly higher among patients with a D7PBBP of 〈0.945% （84.62%,22/26） than among those with a D7PBBP of 〉0.945% （25.0%,5/20;Х^2 =16.571,P 〈0.001）.D7PBBP was significantly correlated with overall survival （OS; r=-0.437,P=0.003） and relapsefree survival （RFS; r=-0.388,P=0.007）.OS and RFS were significantly higher in patients with a D7PBBP of 〈0.43% than in those with a D7PBBP of 〉0.43% （P 〈0.001 and P=0.039,respectively）.D7PBBP was also found to be an independent prognostic indicator in multivariate analysis for both OS （P=-0.036） and RFS （P=0.035）.Conclusion D7PBBP may be an important risk factor for the achievement of complete remission,for overall survival,and for relapse-free survival.
基金National Natural Science Foundation of China under Grant Nos.51979205 and 51939008。
文摘This research is focused on the calculation of a reasonable detonator delay time for realizing cut blast vibration control.First,the viscoelastic rock mass parameters corresponding to the engineering rock mass quality classification were determined based on wave theory of Kelvin medium.Then,a calculation model was obtained for the millisecond-delay cut blast vibration in Kelvin media using the Starfield charge superposition principle.Further,the influence of the delay time on the cut blast vibration was quantitatively analyzed and a method for calculating the reasonable cut blasting millisecond delay time is proposed according to the principle of dimensional analysis.Finally,field tests were used to verify the applicability of the method.The results show that 5 ms to 20 ms is a better detonator delay time range and cut blasting vibration can be effectively controlled using the delay time calculated by the calculation model described in this paper.
基金supported by the Shenzhen Stability Support Plan(Grant No.20231122095154003)National Natural Science Foundation of China(Grant Nos.51978671 and 52422807).
文摘Residents living near drill-and-blast tunnels often experience disturbances from blasting operations.This motivates us to investigate the characteristics of airblasts and resulting noise through on-site monitoring at three tunnels.The research focuses on both the temporal evolution and spatial propagation of airblasts.Temporal analysis,including peak overpressure(POp),positive duration(PD),and Fourier main frequency(MF),emphasizes the relationship between airblast characteristics,blasting delays,and rock grade.It shows that airblast bandwidths are typically in the range of 3e200 Hz,with noise levels exceeding 130 dB,which is comparable to jet engines and rocket launch.Spatial propagation analysis reveals the impact of tunnel space on airblast propagation.Although POp and PD typically decrease with distance inside the tunnel,wave superposition can cause increased overpressure and prolonged durations at far-field distances(above 60 m kg^(-1/3)).Outside the tunnel,sound radiation was influenced by azimuth and was basically determined by sound power d an often-overlooked factor.To address the anisotropic propagation of airblasts,a predictive model was proposed for external noise levels,considering variables like distance,azimuth angle,initial sound power,and wave expansion.Validated by tests,this model successfully unifies data from three studies,helping to explain and predict airblast disturbances near tunnels.
基金financial support provided by the Natural Science Foundation of Hebei Province,China(No.E2024105036)the Tangshan Talent Funding Project,China(Nos.B202302007 and A2021110015)+1 种基金the National Natural Science Foundation of China(No.52264042)the Australian Research Council(No.IH230100010)。
文摘Automated classification of gas flow states in blast furnaces using top-camera imagery typically demands a large volume of labeled data,whose manual annotation is both labor-intensive and cost-prohibitive.To mitigate this challenge,we present an enhanced semi-supervised learning approach based on the Mean Teacher framework,incorporating a novel feature loss module to maximize classification performance with limited labeled samples.The model studies show that the proposed model surpasses both the baseline Mean Teacher model and fully supervised method in accuracy.Specifically,for datasets with 20%,30%,and 40%label ratios,using a single training iteration,the model yields accuracies of 78.61%,82.21%,and 85.2%,respectively,while multiple-cycle training iterations achieves 82.09%,81.97%,and 81.59%,respectively.Furthermore,scenario-specific training schemes are introduced to support diverse deployment need.These findings highlight the potential of the proposed technique in minimizing labeling requirements and advancing intelligent blast furnace diagnostics.
文摘北京时间11月30日晚间,BLAST Slam V成都站入围赛正式开赛。尽管在此前的小组赛阶段,四支中国队的表现并不能令观众满意,名次最高的是小组排名第六,但胜率却不到50%的Tidebound战队,而另外的三支战队XG、YB和Tearlaments则全部落入小组后四名。好在小组赛并设置淘汰机制,只是排名靠后的三支中国队必须从入围赛首轮开打。最终XG有惊无险地以2∶1的比分战胜Tearlaments,而YB则轻松战胜Execration进入下一轮。
基金supported by the Nuclear Safety Research Program through the Korea Foundation of Nuclear Safety(KoFONS)using the financial resource granted by the Nuclear Safety and Security Commission(NSSC)of the Republic of Korea[RS-2025-02310881]the Korea Institute of Energy Technology Evaluation and Planning[KETEP]grant funded by the Ministry of Trade,Industry and Energy(MOTIE)[RS-2025-25447272].
文摘Unbonded post-tensioned(PT)concrete systems are widely used in safety-critical structures,yet model-ing practices for prestress implementation and tendon-concrete interaction remain inconsistent.This study investigates the effects of sheath(duct)implementation and confinement assumptions through nonlinear finite element analysis.Four modeling cases were defined,consisting of an explicit sheath without tendon-concrete confinement(S)and three no-sheath variants with different confinement levels(X,N,A).One-way beams and two-way panels were analyzed,and panel blast responses were validated against experimental results.In both beams and panels,average initial stress levels were similar across models,through local stress concentrations appeared when the sheath was modeled.Under blast loading,these local effects became critical,and the sheath-implemented model reproduced experimental behavior most accurately,whereas non-implemented models deviated.Reduced blast intensity diminished the differences among models,thereby reaffirming that sheath-induced localization and damage propagation are critical factors.These findings highlight the importance of explicit sheath implementation for realistic numerical assessment of unbonded PT structures under extreme loads.
基金funded by the Key Laboratory of Geological Safety of Coastal Urban Underground Space,Ministry of Natural Resources of China(Grant No.BHKF2022Y02)Natural Science Foundation of Guangdong Province,China(Grant No.2024A1515011162)Natural Science Foundation of Shandong Province,China(Grant No.ZR2024QE021).
文摘Traditional mining in open pit mines often uses explosives,leading to environmental hazards,with flyrock being a critical issue.In detail,excess flying rock beyond the designated explosion area was identified as the primary cause of fatal and non-fatal blasting hazards in open pit mining.Therefore,the accurate and reliable prediction of flyrock becomes crucial for effectively managing and mitigating associated problems.This study used the Light Gradient Boosting Machine(LightGBM)model to predict flyrock in a lead-zinc mine,with promising results.To improve its accuracy,multi-verse optimizer(MVO)and ant lion optimizer(ALO)metaheuristic algorithms were introduced.Results showed MVO-LightGBM outperformed conventional LightGBM.Additionally,decision tree(DT),support vector machine(SVM),and classification and regression tree(CART)models were trained and compared with MVO-LightGBM.The MVO-LightGBM model excelled over DT,SVM,and CART.This study highlights MVO-LightGBM's effectiveness and potential for broader applications.Furthermore,a multiple parametric sensitivity analysis(MPSA)algorithm was employed to specify the sensitivity of parameters.MPSA results indicated that the highest and lowest sensitivities are relevant to blasted rock per hole and spacing with theγ=1752.12 andγ=49.52,respectively.
文摘2025年11月14日,随着中国香港亚洲国际博览馆这个1.2万人的场馆屏幕上映现出李小龙的画面和声音,2025 BLAST Premier Rivals中国香港(以下简称BLAST中国香港)第一天线下比赛在两块红色屏幕的倒计时中开始。作为中国香港首个S级电竞赛事的落地,BLAST中国香港在本次举办过程中获得了诸多第一。
基金supported by grants from the Ministry of Science and Technology,Taiwan(MOST108-2314-B-182-006,MOST109-2314-B-182-071:Lee-Yung Shih)the Ministry of Health and Welfare,Taiwan(MOHW110-TDU-B-212-134011:Lee-Yung Shih)+3 种基金Chang Gung Memorial Hospital(CMRPG3D1524,OMRPG3E0031:Lee-Yung Shih)the Grant-in-Aid for the Japan Society for the Promotion of Science(JSPS)KAKENHI(JP19H05656:Seishi Ogawa,22K16320:Yotaro Ochi)the Japan Agency for Medical Research and Development(AMED)(JP19cm0106501h0004,JP19ck0106250h0003:Seishi Ogawa)the Ministry of Education,Culture,Sports,Science and Technology of Japan(MEXT)(hp200138,hp210167:Seishi Ogawa)。
文摘Background:Breakpoint Cluster Region-Abelson(BCR::ABL1)fusion protein is essential in the pathogenesis of chronic myeloid leukemia(CML);however,the chronic-to-blast phase transformation remains elusive.We identified novel kinesin light chain 2(KLC2)mutations in CML-myeloid blast phase patients.We aimed to examine the functional role of KLC2 mutations in leukemogenesis.Methods:To evaluate the biological role of KLC2 mutants(MT)in CML cells,we expressed KLC2-MT in different human CML cell lines harboring BCR::ABL1 and performed immunoblot,immunofluorescence,cell proliferation,differentiation,and apoptosis;Tyrosine kinase inhibitor(TKI)-drug activities;and clonogenic assays for in vitro functional analyses.We co-expressed KLC2-MT and BCR::ABL1 in mouse bone marrow cells(BMCs)to evaluate their clonogenic and self-renewal abilities ex vivo.Furthermore,we examined tumorigenic activity and drug efficacy in the K562 xenograft model.Results:KLC2-MT overexpression in BCR::ABL1-positive K562 and KU812 CML cells promoted cell proliferation and clonogenic potential,decreased imatinib sensitivity,and reduced apoptosis.Serial colony replating assays revealed that KLC2-MT and BCR::ABL1 co-expression enhanced the self-renewal ability of mouse BMCs with immature morphology.In the K562 xenograft model,KLC2-MT enhanced tumorigenic potential and diminished imatinib efficacy.Further studies reported that KLC2-MT augmented signal transducer and activator of transcription 3(STAT3)activation and nuclear accumulation in imatinib-treated CML cells.KLC2-WT and KLC2-MT interacted with mothers against decapentaplegic homolog 2(SMAD2);however,the latter impaired transforming growth factor-beta(TGF-β)–mediated SMAD2/3 activation while enhancing STAT3 phosphorylation.Conclusions:This study demonstrates the biological and functional importance of KLC2 mutation in CML cells,potentially enabling the development of better treatment strategies for CML patients carrying KLC2 mutations and providing enhanced understanding of the disease progression.
文摘IN May of 1998, at the Italian Open Tennis Championship, Chinese player Li Fang won in straight sets over Martina Hingis, the top seeded player in the world. With this win, Li re-entered the world top fifty. No Chinese tennis player had ever cracked the world top 100 before. Seventeen years earlier, during the summer of 1981, eight-year-old Li Fang had been admitted by the part-time sports training school of Xiangtan Steelworks of Hunan Province to play tennis. The
文摘美国国家航空和宇宙航行局(NASA)对火星的探索在不断深化。火星气象卫星的升空将完成两项使命:to study the planet's thin,frigidatmosphere以及 map its barren,rugged landscape.这篇短文遣词很讲究。Trailing a brilliant tongue of fire,the rocket streaked skyward and promptlydisappeared from view behind the clouds.一句里的分词短语Trailing a brillianttongue of fire和动词义streaked(skyward)就值得玩味一番。
