Design and performance evaluation of a large field-of-view dual-particle time-encoded imager based on a depth-of-interaction detector

Time-encoded imaging is useful for identifying potential special nuclear materials and other radioactive sources at a distance.In this study,a large field-of-view time-encoded imager was developed for gamma-ray and neutron source hotspot imaging based on a depth-of-interaction(DOI)detector.The imager primarily consists of a DOI detector system and a rotary dual-layer cylindrical coded mask.An EJ276 plastic scintillator coupled with two SiPMs was designed as the DOI detector to increase the field of view and improve the imager performance.The difference in signal time at both ends and the log of the signal amplitude ratio were used to calculate the interaction position resolution.The position resolution of the DOI detector was calibrated using a collimated Cs-137 source,and the full width at half maximum of the reconstruction position of the Gaussian fitting curve was approximately 4.4 cm.The DOI detector can be arbitrarily divided into several units to independently reconstruct the source distribution images.The unit length was optimized via Am-Be source-location experiments.A multidetector filtering method is proposed for image denoising.This method can effectively reduce image noise caused by poor DOI detector position resolution.The vertical field of view of the imager was(-55°,55°)when the detector was placed in the center of the coded mask.A DT neutron source at 20 m standoff could be located within 2400 s with an angular resolution of 3.5°.

Effects of nano-metal oxide additives on ignition and combustion properties of MICs-boron rich fuels

Boron has been considered a promising powdered metal fuel for enhancing composite propellants'energy output due to its high energy density.However,the high ignition temperature and low combustion efficiency limit the application of boron powder due to the high boiling point of the boron oxide layer.Much research is ongoing to overcome these shortcomings,and one potential approach is to introduce a small quantity of metal oxide additives to promote the reaction of boron.This study prepared boron-rich fuels with 10 wt%of eight nano-metal oxide additives by mechanical ball milling.The effect of metal oxides on the thermo-oxidation,ignition,and combustion properties of boron powder was comprehensively studied by the thermogravimetric analysis(TG),the electrically heated filament setup(T-jump),and the laser-induced combustion experiments.TG experiments at 5 K/min found that Bi_(2)O_(3),MoO_(3),TiO_(2),Fe_(2)O_(3),and CuO can promote thermo-oxidation of boron.Compared to pure boron,Tonsetcan be reduced from 569℃to a minimum of 449℃(B/Bi_(2)O_(3)).Infrared temperature measurement in T-jump tests showed that when heated by an electric heating wire at rates from 1000 K/s to 25000 K/s,the ignition temperatures of B/Bi_(2)O_(3) are the lowest,even lower than the melting point of boron oxide.Ignition images and SEM for the products further showed that the high heating rate is beneficial to the rapid reaction of boron powder in the single-particle combustion state.Fuels(B/Bi_(2)O_(3),B/MoO_(3),and B/CuO)were mixed with the oxidant AP and ignited by laser to study the combustion performance.The results showed that B/CuO/AP has the largest flame area,the highest BO_(2) characteristic spectral intensity,and the largest burn rate for powder lines.To combine the advantages of CuO and Bi_(2)O_(3),binary metal oxide(CBO,mass ratio of 3:1)was prepared and the test results showed that CBO can very well improve both ignition and combustion properties of boron.Especially B/CBO/AP has the highest burn rate compared with all fuels containing other additives.It was found that multi-component metal-oxide additive can more synergistically improve the reaction characteristics of boron powder than unary additive.These findings contribute to the development of boron-rich fuels and their application in propellants.

Non-parametric machine learning methods for interpolation of spatially varying non-stationary and non-Gaussian geotechnical properties

Spatial interpolation has been frequently encountered in earth sciences and engineering.A reasonable appraisal of subsurface heterogeneity plays a significant role in planning,risk assessment and decision making for geotechnical practice.Geostatistics is commonly used to interpolate spatially varying properties at un-sampled locations from scatter measurements.However,successful application of classic geostatistical models requires prior characterization of spatial auto-correlation structures,which poses a great challenge for unexperienced engineers,particularly when only limited measurements are available.Data-driven machine learning methods,such as radial basis function network(RBFN),require minimal human intervention and provide effective alternatives for spatial interpolation of non-stationary and non-Gaussian data,particularly when measurements are sparse.Conventional RBFN,however,is direction independent(i.e.isotropic)and cannot quantify prediction uncertainty in spatial interpolation.In this study,an ensemble RBFN method is proposed that not only allows geotechnical anisotropy to be properly incorporated,but also quantifies uncertainty in spatial interpolation.The proposed method is illustrated using numerical examples of cone penetration test(CPT)data,which involve interpolation of a 2D CPT cross-section from limited continuous 1D CPT soundings in the vertical direction.In addition,a comparative study is performed to benchmark the proposed ensemble RBFN with two other non-parametric data-driven approaches,namely,Multiple Point Statistics(MPS)and Bayesian Compressive Sensing(BCS).The results reveal that the proposed ensemble RBFN provides a better estimation of spatial patterns and associated prediction uncertainty at un-sampled locations when a reasonable amount of data is available as input.Moreover,the prediction accuracy of all the three methods improves as the number of measurements increases,and vice versa.It is also found that BCS prediction is less sensitive to the number of measurement data and outperforms RBFN and MPS when only limited point observations are available.

Stochastic analysis of load-transfer mechanism of energy piles by random finite difference model

The surge in demand for renewable energy to combat the ever-escalating climate crisis promotes development of the energy-saving,carbon saving and reduction technologies.Shallow ground-source heat pump(GSHP)system is a promising carbon reduction technology that can stably and effectively exploit subsurface geothermal energy by taking advantage of load-bearing structural elements as heat transfer medium.However,the transformation of conventional geo-structures(e.g.piles)into heat exchangers between the ground and superstructures can potentially induce variable thermal axial stresses and displacements in piles.Traditional energy pile analysis methods often rely on deterministic and homogeneous soil parameter profiles for investigating thermo-mechanical soil-structure interaction,without consideration of soil spatial variability,model uncertainty or statistical uncertainty associated with interpolation of soil parameter profiles from limited site-specific measurements.In this study,a random finite difference model(FDM)is proposed to investigate the thermo-mechanical load-transfer mechanism of energy piles in granular soils.Spatially varying soil parameter profile is interpreted from limited site-specific measurements using Bayesian compressive sensing(BCS)with proper considering of soil spatial variability and other uncertainties in the framework of Monte Carlo simulation(MCS).Performance of the proposed method is demonstrated using an illustrative example.Results indicate that the proposed method enables an accurate evaluation of thermally induced axial stress/displacement and variation in null point(NP)location with quantified uncertainty.A series of sensitivity analyses are also carried out to assess effects of the pile-superstructure stiffness and measurement data number on the performance of the proposed method,leading to useful insights.

Analysis of the trend of global power sources based on comment emotion mining

In recent years,renewable energy technologies have been developed vigorously,and related supporting policies have been issued.The developmental trend of different energy sources directly affects the future developmental pattern of the energy and power industry.Energy trend research can be quantified through data statistics and model calculations;however,parameter settings and optimization are difficult,and the analysis results sometimes do not reflect objective reality.This paper proposes an energy and power information analysis method based on emotion mining.This method collects energy commentary news and literature reports from many authoritative media around the world and builds a convolutional neural network model and a text analysis model for topic classification and positive/negative emotion evaluation,which helps obtain text evaluation matrixes for all collected texts.Finally,a long-short-term memory model algorithm is employed to predict the future development prospects and market trends for various types of energy based on the analyzed emotions in different time spans.Experimental results indicate that energy trend analysis based on this method is consistent with the real scenario,has good applicability,and can provide a useful reference for the development of energy and power resources and of other industry areas as well.

The association between the genetic polymorphisms of LMP2/LMP7 and the outcomes of HCV infection among drug users

Objective：To investigate a possible association of LMP2/LMP7 genes with chronic hepatitis C virus（HCV） infection,and to assess whether LMP2/LMP7 genes could influence the outcomes of HCV infection among drug users.Methods：Genomic DNAs of 362 anti-HCV sero-positive drug users and 225 control drug users were extracted from the peripheral blood leukocytes.The sero-positive patients were divided into those who had persistent infection and those who had spontaneously cleared the infection.Polymorphisms of LMP genes were determined by PCR combined with restriction fragment length polymorphism（RFLP）.Results：The distribution of LMP2 genotypes among the control,persistent infection and spontaneous clearance groups were not different.However,the LMP7 codon 145 Gln/Lys,Lys/Lys,and Gln/Lys＋Lys/Lys genotypes were found significantly more frequent in the persistent infection group than in control group（OR=1.75,95%CI=1.06～2.90;OR=3.16,95%CI=1.23-8.12;OR=1.94,95%CI=1.21-3.12,respectively）.Similarly,the frequencies of the codon 145 Gln/Lys,Lys/Lys,and Gln/Lys＋Lys/Lys genotypes were found significantly more frequent in the persistent infection group than in the spontaneous clearance group（OR=1.64,95%CI=1.04-2.57;OR=2.40,95%CI=1.09-5.28;OR=1.76,95%CI=1.152.69,respectively）.Stratified analysis indicated that combined genotype Gln/Lys＋Lys/Lys of the LMP7 gene was related to an increasing susceptibility to HCV infection（OR=1.91,95%CI=1.02-3.55;OR=2.19,95%CI=1.243.89;OR=1.91,95%CI=1.05-3.48,OR=2.86,95%CI=1.41-5.78,respectively）and the risk of persistent HCV infection（OR=1.94,95%CI=1.12-3.34;OR=2.02,95%CI=1.21-3.38;OR=1.78,95%CI=1.12-2.85,OR=2.23,95%CI=1.09-4.58,respectively）among30-year-old,males,the injection drug user（IDU）subjects and/or the shorter duration drug users（≤5 y）.Conclusion：These results suggest that polymorphism of the LMP7 gene may have an influence on the outcomes of HCV infection,and is one of the factors accounting for the genetic susceptibility to HCV infection among drug users.

The Discrimination of Inrush Current from Internal Fault of Power Transformer based on EMD

The method is based on that the waveform of the inrush distorts seriously, while the fault current nearly keeps sinusoid. The complicated signal can be decomposed into a finite intrinsic mode functions (IMF) by the EMD, then define and compute the projection area on X-axis of each IMF—, the specific gravity of SIMF—, and the maximum of —. We can get a new scheme of transformer-protection based on comparing the difference between inrush and fault current. Theoretical analysis show that the method can precisely discriminate inrush and fault current, fault clearance time is about 20ms. Moreover, it is convenient to achieve and hardly be affect by not-periodic component.

“华龙一号”核电站TEP蒸汽压缩机的研制

本文详细介绍了“华龙一号”硼回收系统(TEP)蒸汽压缩机依照法国RCC-M《压力水堆核岛机械设备设计和建造规则》标准进行设计、选材、制造、试验及鉴定等研制过程,为后续同类设备的研发提供了参考。

Comparative analysis of 12 water lily plastid genomes reveals genomic divergence and evolutionary relationships in early flowering plants

The aquatic plant Nymphaea,a model genus of the early flowering plant lineage Nymphaeales and family Nymphaeaceae,has been extensively studied.However,the availability of chloroplast genome data for this genus is incomplete,and phylogenetic relationships within the order Nymphaeales remain controversial.In this study,12 chloroplast genomes of Nymphaea were assembled and analyzed for the first time.These genomes were 158,290-160,042 bp in size and contained 113 non-repeat genes,including 79 protein-coding genes,30 tRNA genes,and four rRNA genes.We also report on codon usage,RNA editing sites,microsatellite structures,and new repetitive sequences in this genus.Comparative genomics revealed that expansion and contraction of IR regions can lead to changes in the gene numbers.Additionally,it was observed that the highly variable regions of the chloroplast genome were mainly located in intergenic regions.Furthermore,the phylogenetic tree showed the order Nymphaeales was divided into three families,and the genus Nymphaea can be divided into five(or three)subgenera,with the subgenus Nymphaea being the oldest.The divergence times of nymphaealean taxa were analyzed,with origins of the order Nymphaeales and family Nymphaeaceae being about 194 and 131 million years,respectively.The results of the phylo-genetic analysis and estimated divergence times will be useful for future evolutionary studies of basal angiosperm lineages.

Single-wall carbon nanotube fiber non-woven fabrics with a high electrothermal heating response

Carbon nanotube(CNT)fibers have great promise for constructing multifunctional fabrics with high electrical conductivity,good electro-heating ability,excellent flexibility,and a low density.However,the inter-fiber contacts in the fabric greatly reduce these advantages and limit their application.Herein,a simple pressure-fusing method to fabricate single-wall CNT(SWCNT)fiber non-woven fabrics(NWFs)that are composed of interconnected SWCNT fibers with fused joints is reported,which have good flexibility,a low density of 0.46 g/cm^(3),a high electrical conductivity of 3.7×10^(5)S/m,and a record high specific electrical conductivity of 803(S·m^(2))/kg.They also showed excellent electrical heating ability,so that a temperature of~160℃was rapidly reached at a low voltage of 2 V.Combined with their low density,the SWCNT fiber NWFs are promising for use as a heating unit for low temperature battery protection and de-icing applications.

Crystal engineering regulation achieving inverse temperature symmetry breaking ferroelasticity in a cationic displacement type hybrid perovskite system

Ferroelastic hybrid perovskite materials have been revealed the significance in the applications of switches,sensors,actuators,etc.However,it remains a challenge to design high-temperature ferroelastic to meet the requirements for the practical applications.Herein,we reported an one-dimensional organicinorganic hybrid perovskites(OIHP)(3-methylpyrazolium)CdCl_(3)(3-MBCC),which possesses a mmmF2/m ferroelastic phase transition at 263 K.Moreover,utilizing crystal engineering,we replace-CH_(3) with-NH_(2) and-H,which increases the intermolecular force between organic cations and inorganic frameworks.The phase transition temperature of(3-aminopyrazolium)CdCl_(3)(3-ABCC),and(pyrazolium)CdCl_(3)(BCC)increased by 73 K and 10 K,respectively.Particularly,BCC undergoes an unconventional inverse temperature symmetry breaking(ISTB)ferroelastic phase transition around 273 K.Differently,it transforms from a high symmetry low-temperature paraelastic phase(point group 2/m)to a low symmetry high-temperature ferroelastic phase(point group ī)originating from the rare mechanism of displacement of organic cations phase transition.It means that crystal BCC retains in ferroelastic phase above 273 K until melting point(446 K).Furthermore,characteristic ferroelastic domain patterns on crystal BCC are confirmed with polarized optical microscopy.Our study enriches the molecular mechanism of ferroelastics in the family of organic-inorganic hybrids and opens up a new avenue for exploring high-temperature ferroic materials.

An orally administered bacterial membrane protein nanodrug ameliorates doxorubicin cardiotoxicity through alleviating impaired intestinal barrier

The cardiotoxicity caused by Dox chemotherapy represents a significant limitation to its clinical application and is a major cause of late death in patients undergoing chemotherapy.Currently,there are no effective treatments available.Our analysis of 295 clinical samples from 132 chemotherapy patients and 163 individuals undergoing physical examination revealed a strong positive correlation between intestinal barrier injury and the development of cardiotoxicity in chemotherapy patients.We developed a novel orally available and intestinal targeting protein nanodrug by assembling membrane protein Amuc_1100(obtained from intestinal bacteria Akkermansia muciniphila),fluorinated polyetherimide,and hyaluronic acid.The protein nanodrug demonstrated favorable stability against hydrolysis compared with free Amuc_1100.The in vivo results demonstrated that the protein nanodrug can alleviate Dox-induced cardiac toxicity by improving gut microbiota,increasing the proportion of short-chain fatty acid-producing bacteria from the Lachnospiraceae family,and further enhancing the levels of butyrate and pentanoic acids,ultimately regulating the homeostasis repair of lymphocytes in the spleen and heart.Therefore,we believe that the integrity of the intestinal barrier plays an important role in the development of chemotherapy-induced cardiotoxicity.Protective interventions targeting the intestinal barrier may hold promise as a general clinical treatment regimen for reducing Dox-induced cardiotoxicity.

Dehydration-triggered structural phase transition-associated ferroelectricity in a hybrid perovskite-type crystal

Since the appearance of Rochelle salt,ferroelectrics have received extensive attention from researchers due to they are playing an important role in sensors,memories,mechanical actuation,and so on.In recent years,with the rapid development of molecular ferroelectrics,high-performance molecular ferroelectrics have become effective complement to inorganic ferroelectrics.However,compared with inorganic ferroelectrics,the family of molecular ferroelectrics is relatively scarce,and exploring highperformance ferroelectric materials through new synthesis strategies has become the trend of molecular ferroelectrics.Here,we successfully transformed non-polar material 1(2-H_(2)PCA)_(2)(H_(2)O)CdCl_(6)(2-H_(2)PCA=2-picolylamine cation)into polar material 2(2-H_(2)PCA)2CdCl_(6)by single-crystal to single-crystal transformation(SCSCT).Meanwhile,2 exhibits clear ferroelectricity with a high-temperature Tc of 378 K,a Ps of 1.18μC/cm^(2)at 300 K.This work not only realizes the purpose of synthesizing ferroelectrics by forming polar structures by SCSCT,but also realizes the reversibility of SCSCT,which provides ideas for the construction and exploration of new molecular ferroelectrics.

Long-wave infrared emission properties of strain-balanced InAs/In_(x)Ga_(1-x)As_(y)Sb_(1-y)type-Ⅱsuperlattice on different substrates

High-performance type-Ⅱsuperlattices ofⅢ-Ⅴsemiconductor materials play an important role in the development and application of infrared optoelectronic devices.Improving the quality of epitaxial materials and clarifying the luminescent mechanism are of great significance for practic al applic ations.In this work,strain-balanced and high-quality In As/In_(x)Ga_(1-x)As_(y)Sb_(1-y)superlattices without lattice mismatch were achieved on InAs and GaSb substrates successfully.Superlattices grown on In As substrate could exhibit higher crystal quality and surface flatness based on high-resolution X-ray diffraction(HRXRD)and atomic force microscopy(AFM)measurements'results.Moreover,the strain distribution phenomenon from geometric phase analysis indicates that fluctuations of alloy compositions in superlattices on GaSb substrate are more obvious.In addition,the optical properties of superlattices grown on different substrates are discussed systematically.Because of the difference in fluctuations of element composition and interface roughness of superlattices on different substrates,the superlattices grown on In As substrate would have higher integral intensity and narrower full-width at half maximum of long-wave infrared emission.Finally,the thermal quenching of emission intensity indicates that the superlattices grown on the In As substrate have better recombination ability,which is beneficial for increasing the operating temperature of infrared optoelectronic devices based on this type of superlattices.

Erratum to: Tannic acid coated single-wall carbon nanotube membranes for the recovery of Au from trace-level solutions

Erratum to Nano Research,2023,16(8):11350–11357 https://doi.org/10.1007/s12274-023-5803-y The article"Tannic acid coated single-wall carbon nanotube membranes for the recovery of Au from trace-level solutions",written by Chunmei Wang et al.,was erroneously originally published electronically on the publisher’s internet portal(currently SpringerLink)on 27 June 2023 with Fig.3(a).In Fig.3(a),the rejection of MWCNT is 38.9%instead of 98.3%.

Quantification of eight components in Paeonia lactiflora and Glycyrrhiza decoction using UHPLC-MS/MS

Hao Jiang;Yushu Guo;Chao Shi;Department of Pharmacy,Medical Supplies Center of PLA General Hospital;This study aimed to utilize ultra-high-performance liquid chromatography-tandem mass spectrometry(UHPLC-MS/MS)to analyze and quantify eight therapeutic components in Paeonia lactiflora and Glycyrrhiza decoction.The goal was to establish an accurate,efficient,and applicable method for determining the composition of this formula,providing a reference for its clinical application.Methanol was employed to extract the therapeutic components from Paeonia lactiflora and Glycyrrhiza decoction,forming the test sample solution.UHPLC-MS/MS technology was applied to separate and analyze the test samples.The results indicated that upon analysis,the eight reference standards exhibited excellent linear relationships,and the test samples remained stable within 24 h.The content of paeoniflorin,paeonolide,glycyrrhizic acid A,quercetin,chebulic acid,liquiritin,naringenin,and glycyrrhetic acid was determined to be 3.530±0.124,0.139±0.006,0.245±0.008,0.779±0.026,0.433±0.021,0.388±0.018,0.617±0.013,and 0.081±0.005 mg/m L,respectively.This study established that UHPLC-MS/MS analysis demonstrated high efficiency and broad applicability,reflecting the chemical composition characteristics of Paeonia lactiflora and Glycyrrhiza decoction.This research provided a quantitative analysis method for the eight therapeutic components in Paeonia lactiflora and Glycyrrhiza decoction,applicable to its clinical use and quality control.

The Tea Tree Genome Provides Insights into Tea Flavor and Independent Evolution of Caffeine Biosynthesis

Tea is the world＇s oldest and most popular caffeine-containing beverage with immense economic, medicinal, and cultural importance. Here, we present the first high-quality nucleotide sequence of the repeat-rich （80.9%）, 3.02-Gb genome of the cultivated tea tree Camellia sinensis. We show that an extraordinarily large genome size of tea tree is resulted from the slow, steady, and long-term amplification of a few LTR retrotransposon families. In addition to a recent whole-genome duplication event, lineage-specific expansions of genes associated with flavonoid metabolic biosynthesis were discovered, which enhance catechin production, terpene enzyme activation, and stress tolerance, important features for tea flavor and adaptation. We demonstrate an independent and rapid evolution of the tea caffeine synthesis pathway relative to cacao and coffee. A comparative study among 25 Camellia species revealed that higher expression levels of most flavonoid- and caffeinebut not theanine-related genes contribute to the increased production of catechins and caffeine and thus enhance tea-processing suitability and tea quality. These novel findings pave the way for further metabolomic and functional genomic refinement of characteristic biosynthesis pathways and will help develop a more diversified set of tea flavors that would eventually satisfy and attract more tea drinkers worldwide.

The Chromosome-Based Rubber Tree Genome Provides New Insights into Spurge Genome Evolution and Rubber Biosynthesis

The rubber tree,Hevea brasiliensis,produces natural rubber that serves as an essential industrial raw material.Here,we present a high-quality reference genome for a rubber tree cultivar GT1 using single-molecule real-time sequencing(SMRT)and Hi-C technologies to anchor the～1.47-Gb genome assembly into 18 pseudochromosomes.The chromosome-based genome analysis enabled us to establish a model of spurge chromosome evolution,since the common paleopolyploid event occurred before the split of Hevea and Manihot.We show recent and rapid bursts of the three Hevea-specific LTR-retrotransposon families during the last 10 million years,leading to the massive expansion by～65.88%(～970 Mbp)of the whole rubber tree genome since the divergence from Manihot.We identify large-scale expansion of genes associated with whole rubber biosynthesis processes,such as basal metabolic processes,ethylene biosynthesis,and the activation of polysaccharide and glycoprotein lectin,which are important properties for latex production.A map of genomic variation between the cultivated and wild rubber trees was obtained,which contains～15.7 million high-quality single-nucleotide polymorphisms.We identified hundreds of candidate domestication genes with drastically lowered genomic diversity in the cultivated but not wild rubber trees despite a relatively short domestication history of rubber tree,some of which are involved in rubber biosynthesis.This genome assembly represents key resources for future rubber tree research and breeding,providing novel targets for improving plant biotic and abiotic tolerance and rubber production.

Discovery of ～4.0 Ga detrital zircons in the Changdu Block,North Qiangtang,Tibetan Plateau

在 situ 锆石由 LA-ICP-MS 和 MC-ICP-MS 标明日期使用， 3981 的由岩屑形成的锆石 ??? 鮼铧?? ? 裦蒚铩 ????? 偃 ?? 鮼 ?? 郥趽 ????腘 吗？？

Platelet Distribution Width on Admission Predicts In-Stent Restenosis in Patients with Coronary Artery Disease and Type 2 Diabetes Mellitus Treated with Percutaneous Coronary Intervention

Background： It is known that there is a definite association between platelet distribution width （PDW） and poor prognosis in patients with coronary artery disease （CAD） and type 2 diabetes mellitus （T2DM）. However, there are no data available regarding the prognostic significance of PDW for in-stent restenosis （ISR） in patients with CAD and T2DM. We aimed to determine the value of PDW on admission that predicted ISR in patients with CAD and T2DM. Methods： Between January 2012 and December 2013, a total of 5232 consecutive patients diagnosed with CAD and T2DM undergoing percutaneous coronary intervention were admitted. Three years of retrospective tbllow-up was undertaken. A total of 438 patients with second angiography operations were included. ISR was defined as ≥50% luminal stenosis of the stent or peri-stent segments. Continuous data were presented as the mean ± standard deviation or median （P25, P75） and were compared by one-way analysis of variance or Kruskal-Wallis H-test. Categorical variables were presented as percentages and were compared by Chi-square test or Fisher＇s exact test. The association between PDW and ISR was calculated by logistic regression analysis. A two-sided value of P 〈 0.05 was considered statistically significant. Statistical analyses were pertbrmed by SPSS version 22.0 for windows. Results： Fifty-nine patients with ISR, accounting for 13.5% of the total, were included. ISR was significantly more frequent in patients with higher PDW quartiles compared with lower quartiles. We observed that PDW had a strong relationship with mean platelet volume （r=0.6474 95% confidence interval [CI]： 0.535-0.750, P 〈 0.0001 ）. The receiver-operating characteristic curves showed that the PDW cutoffvalue for predicting ISR rate was 13.65 fl with sensitivity of 59.3% and specificity of 72.4% （area under curve [AUC] = 0.701,95% CI： 0.625-0.777, P 〈 0.001 ）. Multivariate analysis showed that the risk of ISR increased approximately 30% when PDW increased one unit （odds ratio [OR]： 1.289, 95% （7： I. 110 1.498, P = 0.001 ）. Patients with higher PDW, defined as more than 13.65 fl, had a 4-fold higher risk oflSR compared with lower PDW （OR： 4.241,95% CI： 1.879 9.572, P = 0.001 ）. Furthemlore, when patients were divided by PDW quartiles values, PDW was able to predict ISR （Q2： OR = 0.762, 95% CI： 0.189-3.062, P= 0.762; Q3： OR = 2.782, 95% CI：0.865 8.954, P = 0.086; and Q4： OR = 3.849, 95% CI： 1.225 12.097, P - 0.021, respectively; P for trend 〈0.0001 ）. Conclusion： PDW is an independent predictor of ISR in patients with CAD and T2DM.