Oligospermia,characterized by a low sperm count in semen,is a major cause of male infertility and may result from various factors including infections,lifestyle choices,retrograde ejaculation,tumors,hormonal imbalance...Oligospermia,characterized by a low sperm count in semen,is a major cause of male infertility and may result from various factors including infections,lifestyle choices,retrograde ejaculation,tumors,hormonal imbalances,drug treatments,and environmental exposures.Animal models play a crucial role in understanding its pathophysiology,identifying therapeutic targets,and evaluating potential treatments.The current review highlights experimental models used to induce oligospermia in laboratory animals,focusing on chemical,surgical,and radiation-based approaches.We review the reversible and irreversible methods commonly employed to study impaired spermatogenesis,along with the key endpoints used to assess testicular function and sperm quality.Standard housing and feeding conditions relevant to oligospermia research are also summarized to support reproducibility and methodological consistency in experimental designs.展开更多
Title Page The title page(page 1,do not number)should contain these elements:(a)full title;(b)Each authors'names,academic degrees,and affiliations(if Chinese,give standard English version);(c)the designated corres...Title Page The title page(page 1,do not number)should contain these elements:(a)full title;(b)Each authors'names,academic degrees,and affiliations(if Chinese,give standard English version);(c)the designated corresponding author's name,mailing address,telephone and fax numbers,and e-mail address;(d)source(s)of financial support of the study;(e)the total word count of the manuscript,including the title page,abstract,text,references,tables,and figures legends.展开更多
Regular detection of pavement cracks is essential for infrastructure maintenance.However,existing methods often ignore the challenges such as the continuous evolution of crack features between video frames and the dif...Regular detection of pavement cracks is essential for infrastructure maintenance.However,existing methods often ignore the challenges such as the continuous evolution of crack features between video frames and the difficulty of defect quantification.To this end,this paper proposes an integrated framework for pavement crack detection,segmentation,tracking and counting based on Transformer.Firstly,we design theVitSeg-Det network,which is an integrated detection and segmentation network that can accurately locate and segment tiny cracks in complex scenes.Second,the TransTra-Count system is developed to automatically count the number of defects by combining defect tracking with width estimation.Finally,we conduct experimental verification on three datasets.The results show that the proposed method is superior to the existing deep learning methods in detection accuracy.In addition,the actual scene video test shows that the framework can accurately label the defect location and output the number of defects in real time.展开更多
Objective:To evaluate and compare coagulation and hematological parameters in hypertensive and normotensive pregnant women.Methods:This present cross-sectional study was carried out in the Departments of Pathology and...Objective:To evaluate and compare coagulation and hematological parameters in hypertensive and normotensive pregnant women.Methods:This present cross-sectional study was carried out in the Departments of Pathology and Obstetrics&Gynaecology at Dr.D.Y.Patil Medical College,Hospital&Research Centre,Pimpri,Pune,India from September 2023 to March 2025.Hematological parameters[platelet count,mean platelet volume(MPV),platelet distribution width(PDW)]were analyzed using an automated hematology analyzer,while coagulation parameters[prothrombin time(PT)/international normalised ratio,activated partial thromboplastin time(aPTT),and D-dimer]were assessed by standard automated assays.Results were compared between normotensive and hypertensive groups and correlated with disease severity.Results:The study included 212 antenatal females,with 106 normotensive pregnant women and 106 hypertensive women.Hypertensive women include cases of gestational hypertension(n=55);mild preeclampsia(n=39),and severe preeclampsia(n=12).A significant progressive decrease in platelet count and significant increases in MPV,PDW,PT,aPTT,and D-dimer levels were associated with increasing severity of pregnancy-induced hypertension(P<0.001).Women with severe preeclampsia had the lowest mean platelet counts and the highest coagulation parameter values compared to women with gestational hypertension,mild preeclampsia,and normotensive pregnancies.These findings indicate enhanced platelet activation,endothelial dysfunction,and activation of the coagulation–fibrinolytic system with worsening disease severity.Conclusions:Significant hematologic and coagulation abnormalities were present in women with pregnancy-induced hypertension.For better maternal-fetal outcomes and early management,routine monitoring is essential.展开更多
In this study,an automated multimodal system for detecting,classifying,and dating fruit was developed using a two-stage YOLOv11 pipeline.In the first stage,the YOLOv11 detection model locates individual date fruits in...In this study,an automated multimodal system for detecting,classifying,and dating fruit was developed using a two-stage YOLOv11 pipeline.In the first stage,the YOLOv11 detection model locates individual date fruits in real time by drawing bounding boxes around them.These bounding boxes are subsequently passed to a YOLOv11 classification model,which analyzes cropped images and assigns class labels.An additional counting module automatically tallies the detected fruits,offering a near-instantaneous estimation of quantity.The experimental results suggest high precision and recall for detection,high classification accuracy(across 15 classes),and near-perfect counting in real time.This paper presents a multi-stage pipeline for date fruit detection,classification,and automated counting,employing YOLOv11-based models to achieve high accuracy while maintaining real-time throughput.The results demonstrated that the detection precision exceeded 90%,the classification accuracy approached 92%,and the counting module correlated closely with the manual tallies.These findings confirm the potential of reducing manual labour and enhancing operational efficiency in post-harvesting processes.Future studies will include dataset expansion,user-centric interfaces,and integration with harvesting robotics.展开更多
Accurately counting dense objects in complex and diverse backgrounds is a significant challenge in computer vision,with applications ranging from crowd counting to various other object counting tasks.To address this,w...Accurately counting dense objects in complex and diverse backgrounds is a significant challenge in computer vision,with applications ranging from crowd counting to various other object counting tasks.To address this,we propose HUANNet(High-Resolution Unified Attention Network),a convolutional neural network designed to capture both local features and rich semantic information through a high-resolution representation learning framework,while optimizing computational distribution across parallel branches.HUANNet introduces three core modules:the High-Resolution Attention Module(HRAM),which enhances feature extraction by optimizing multiresolution feature fusion;the Unified Multi-Scale Attention Module(UMAM),which integrates spatial,channel,and convolutional kernel information through an attention mechanism applied across multiple levels of the network;and the Grid-Assisted Point Matching Module(GPMM),which stabilizes and improves point-to-point matching by leveraging grid-based mechanisms.Extensive experiments show that HUANNet achieves competitive results on the ShanghaiTech Part A/B crowd counting datasets and sets new state-of-the-art performance on dense object counting datasets such as CARPK and XRAY-IECCD,demonstrating the effectiveness and versatility of HUANNet.展开更多
A high-sensitivity,low-noise single photon avalanche diode(SPAD)detector was presented based on a 180 nm BCD process.The proposed device utilizes a p-implant layer/high-voltage n-well(HVNW)junction to form a deep aval...A high-sensitivity,low-noise single photon avalanche diode(SPAD)detector was presented based on a 180 nm BCD process.The proposed device utilizes a p-implant layer/high-voltage n-well(HVNW)junction to form a deep avalanche multiplication region for near-infrared(NIR)sensitivity enhancement.By optimizing the device size and electric field of the guard ring,the fill factor(FF)is significantly improved,further increasing photon detection efficiency(PDE).To solve the dark noise caused by the increasing active diameter,a field polysilicon gate structure connected to the p+anode was investigated,effectively suppressing dark count noise by 76.6%.It is experimentally shown that when the active diameter increases from 5 to 10μm,the FF is significantly improved from 20.7%to 39.1%,and thus the peak PDE also rises from 13.3%to 25.8%.At an excess bias voltage of 5 V,a NIR photon detection probability(PDP)of 6.8%at 905 nm,a dark count rate(DCR)of 2.12 cps/μm^(2),an afterpulsing probability(AP)of 1.2%,and a timing jitter of 216 ps are achieved,demonstrating excellent single photon detection performance.展开更多
Tuojiang River Basin is a first-class tributary of the upper reaches of the Yangtze River—which is the longest river in China.As phytoplankton are sensitive indicators of trophic changes inwater bodies,characterizing...Tuojiang River Basin is a first-class tributary of the upper reaches of the Yangtze River—which is the longest river in China.As phytoplankton are sensitive indicators of trophic changes inwater bodies,characterizing phytoplankton communities and their growth influencing factors in polluted urban rivers can provide new ideas for pollution control.Here,we used direct microscopic count and environmental DNA(eDNA)metabarcoding methods to investigate phytoplankton community structure in Tuojiang River Basin(Chengdu,Sichuan Province,China).The association between phytoplankton community structure and water environmental factors was evaluated by Mantel analysis.Additional environmental monitoring data were used to pinpoint major factors that influenced phytoplankton growth based on structural equation modeling.At the phylum level,the dominant phytoplankton taxa identified by the conventional microscopic method mainly belonged to Bacillariophyta,Chlorophyta,and Cyanophyta,in contrast with Chlorophyta,Dinophyceae,and Bacillariophyta identified by eDNA metabarcoding.Inα-diversity analysis,eDNA metabarcoding detected greater species diversity and achieved higher precision than the microscopic method.Phytoplankton growth was largely limited by phosphorus based on the nitrogen-to-phosphorus ratios>16:1 in all water samples.Redundancy analysis and structural equation modeling also confirmed that the nitrogen-to-phosphorus ratio was the principal factor influencing phytoplankton growth.The results could be useful for implementing comprehensive management of the river basin environment.It is recommended to control the discharge of point-and surface-source pollutants and the concentration of dissolved oxygen in areas with excessive nutrients(e.g.,Jianyang-Ziyang).Algae monitoring techniques and removal strategies should be improved in 201 Hospital,Hongrihe Bridge and Colmar Town areas.展开更多
The effects of disinfectants and plasmid-based antibiotic resistance genes(ARGs)on the growth of microorganisms and the plasmid-mediated transfer of ARGs in the water and biofilm of the drinkingwater distribution syst...The effects of disinfectants and plasmid-based antibiotic resistance genes(ARGs)on the growth of microorganisms and the plasmid-mediated transfer of ARGs in the water and biofilm of the drinkingwater distribution system under simulated conditionswere explored.The heterotrophic plate count of the water in reactors with 0.1 mg/L NaClO and NH_(2)Cl was higher than in the control groups.Therewas no similar phenomenon in biofilm.In thewater of reactors containing NaClO,the aphA and bla geneswere lower than in the antibiotic resistant bacteria group,while both genes were higher in the water of reactors with NH_(2)Cl than in the control group.Chloramine may promote the transfer of ARGs in the water phase.Both genes in the biofilm of the reactors containing chlorine were lower than the control group.Correlation analysis between ARGs and water quality parameters revealed that the copy numbers of the aphA gene were significantly positively correlated with the copy numbers of the bla gene in water and significantly negatively correlated in biofilm(p<0.05).The results of the sequencing assay showed that bacteria in the biofilm,in the presence of disinfectant,were primarily Gram-negative.1.0 mg/L chlorine decreased the diversity of the community in the biofilm.The relative abundance of some bacteria that may undergo transfer increased in the biofilm of the reactor containing 0.1 mg/L chlorine.展开更多
Conventional superconducting nanowire single-photon detectors(SNSPDs)have been typically limited in their applications due to their size,weight,and power consumption,which confine their use to laboratory settings.Howe...Conventional superconducting nanowire single-photon detectors(SNSPDs)have been typically limited in their applications due to their size,weight,and power consumption,which confine their use to laboratory settings.However,with the rapid development of remote imaging,sensing technologies,and long-range quantum communication with fewer topographical constraints,the demand for high-efficiency single-photon detectors integrated with avionic platforms is rapidly growing.We herein designed and manufactured the first drone-based SNSPD system with a system detection efficiency(SDE)as high as 91.8%.This drone-based system incorporates high-performance NbTiN SNSPDs,a self-developed miniature liquid helium dewar,and custom-built integrated electrical setups,making it capable of being launched in complex topographical conditions.Such a drone-based SNSPD system may open the use of SNSPDs for applications that demand high SDE in complex environments.展开更多
Deep learning-based intelligent recognition algorithms are increasingly recognized for their potential to address the labor-intensive challenge of manual pest detection.However,their deployment on mobile devices has b...Deep learning-based intelligent recognition algorithms are increasingly recognized for their potential to address the labor-intensive challenge of manual pest detection.However,their deployment on mobile devices has been constrained by high computational demands.Here,we developed GBiDC-PEST,a mobile application that incorporates an improved,lightweight detection algorithm based on the You Only Look Once(YOLO)series singlestage architecture,for real-time detection of four tiny pests(wheat mites,sugarcane aphids,wheat aphids,and rice planthoppers).GBiDC-PEST incorporates several innovative modules,including GhostNet for lightweight feature extraction and architecture optimization by reconstructing the backbone,the bi-directional feature pyramid network(BiFPN)for enhanced multiscale feature fusion,depthwise convolution(DWConv)layers to reduce computational load,and the convolutional block attention module(CBAM)to enable precise feature focus.The newly developed GBiDC-PEST was trained and validated using a multitarget agricultural tiny pest dataset(Tpest-3960)that covered various field environments.GBiDC-PEST(2.8 MB)significantly reduced the model size to only 20%of the original model size,offering a smaller size than the YOLO series(v5-v10),higher detection accuracy than YOLOv10n and v10s,and faster detection speed than v8s,v9c,v10m and v10b.In Android deployment experiments,GBiDCPEST demonstrated enhanced performance in detecting pests against complex backgrounds,and the accuracy for wheat mites and rice planthoppers was improved by 4.5-7.5%compared with the original model.The GBiDC-PEST optimization algorithm and its mobile deployment proposed in this study offer a robust technical framework for the rapid,onsite identification and localization of tiny pests.This advancement provides valuable insights for effective pest monitoring,counting,and control in various agricultural settings.展开更多
This letter critically evaluates Jiang et al's article on the differentiation of benign and malignant liver lesions using Emax and platelet count.Despite notable findings,significant methodological and interpretat...This letter critically evaluates Jiang et al's article on the differentiation of benign and malignant liver lesions using Emax and platelet count.Despite notable findings,significant methodological and interpretative limitations are identified.The study lacks detailed assay conditions for Emax measurement,employs inadequate statistical methods without robust multivariate analysis,and does not provide clinically relevant threshold values.The nomogram's reliance on Emax as a major diagnostic contributor is questionable due to attenuation in hepatocellular carcinoma patients with cirrhosis.Moreover,the study's limitations,such as selection bias and confounding factors,are not adequately addressed.Future research should adopt more rigorous methodologies,including prospective studies with larger cohorts and standardized protocols for biomarker measurement,to enhance validity and clinical applicability.展开更多
To better capture the characteristics of asymmetry and structural fluctuations observed in count time series,this study delves into the application of the quantile regression(QR)method for analyzing and forecasting no...To better capture the characteristics of asymmetry and structural fluctuations observed in count time series,this study delves into the application of the quantile regression(QR)method for analyzing and forecasting nonlinear integer-valued time series exhibiting a piecewise phenomenon.Specifically,we focus on the parameter estimation in the first-order Self-Exciting Threshold Integer-valued Autoregressive(SETINAR(2,1))process with symmetry,asymmetry,and contaminated innovations.We establish the asymptotic properties of the estimator under certain regularity conditions.Monte Carlo simulations demonstrate the superior performance of the QR method compared to the conditional least squares(CLS)approach.Furthermore,we validate the robustness of the proposed method through empirical quantile regression estimation and forecasting for larceny incidents and CAD drug call counts in Pittsburgh,showcasing its effectiveness across diverse levels of data heterogeneity.展开更多
[Objectives]To evaluate the performance of two rapid chromogenic media for the detection of Bacillus cereus in milk powder,and verify the media's inclusivity,exclusivity,and accuracy,and to assess their applicabil...[Objectives]To evaluate the performance of two rapid chromogenic media for the detection of Bacillus cereus in milk powder,and verify the media's inclusivity,exclusivity,and accuracy,and to assess their applicability for the quantitative detection of B.cereus.[Methods]B.cereus in milk powder samples was quantified using two rapid chromogenic media in combination with the national standard method.Agreement between the quantitative results from the three methods was subsequently assessed for agreement via a paired t-test.[Results]No significant differences were observed between the bacterial counts yielded by the two rapid chromogenic media and the national standard method(P>0.05),with excellent agreement between them.[Conclusions]The method of rapid chromogenic culture medium is rapid and simple.展开更多
Title Page The title page(page 1,do not number)should contain these elements:(a)full title;(b)Each authors’names,academic degrees,and affiliations(if Chinese,give standard English version);(c)the designated correspon...Title Page The title page(page 1,do not number)should contain these elements:(a)full title;(b)Each authors’names,academic degrees,and affiliations(if Chinese,give standard English version);(c)the designated corresponding author's name,mailing address,telephone and fax numbers,and e-mail address;(d)source(s)of financial support of the study;(e)the total word count of the manuscript,including the title page,abstract,text,references,tables,and figures legends.展开更多
This study presents a low-noise,high-rate front-end readout application-specific integrated circuit(ASIC)designed for the electromagnetic calorimeter(ECAL)of the Super Tau-Charm Facility(STCF).To address the high back...This study presents a low-noise,high-rate front-end readout application-specific integrated circuit(ASIC)designed for the electromagnetic calorimeter(ECAL)of the Super Tau-Charm Facility(STCF).To address the high background-count rate in the STCF ECAL,the temporal features of signals are analyzed node-by-node along the chain of the analog front-end circuit.Then,the system is optimized to mitigate the pile-up effects and elevate the count rate to megahertz levels.First,a charge-sensitive amplifier(CSA)with a fast reset path is developed,enabling quick resetting when the output reaches the maximum amplitude.This prevents the CSA from entering a pulse-dead zone owing to amplifier saturation caused by the pile-up.Second,a high-order shaper with baseline holder circuits is improved to enhance the anti-pile-up capability while maintaining an effective noise-filtering performance.Third,a high-speed peak-detection and hold circuit with an asynchronous first-input-first-output buffer function is proposed to hold and read the piled-up signals of the shaper.The ASIC is designed and manufactured using a standard commercial 1P6M 0.18μm mixed-signal CMOS process with a chip area of 2.4 mm×1.6 mm.The measurement results demonstrate a dynamic range of 4–500 fC with a nonlinearity error below 1.5%.For periodically distributed input signals,a count rate of 1.5 MHz/Ch is achieved with a peak time of 360 ns,resulting in an equivalent noise charge(ENC)of 2500 e^(-)-.The maximum count rate is 4 MHz/Ch at a peak time of 120 ns.At a peak time of 1.68μs with a 270 pF external capacitance,the minimum ENC is 1966 e^(-)-,and the noise slope is 3.08 e^(-)-∕pF.The timing resolution is better than 125 ps at an input charge of 200 fC.The power consumption is 35 mW/Ch.展开更多
Environmental DNA(e DNA)methods have emerged as a promising tool for studying a broad spectrum of biological taxa.However,metabarcoding studies of avian biodiversity using e DNA have received little attention.In this ...Environmental DNA(e DNA)methods have emerged as a promising tool for studying a broad spectrum of biological taxa.However,metabarcoding studies of avian biodiversity using e DNA have received little attention.In this study,we compared waterbird biodiversity derived from e DNA metabarcoding with that obtained from traditional point counting surveys at 23 sites in Tai Lake of eastern China and evaluated the accuracy of e DNA metabarcoding for waterbird community studies.The point counting method recorded a higher total number of waterbird species(22)compared to the e DNA technique(16).While e DNA achieved a 74.5%detection rate for waterbird species and was able to identify a significantly greater number of species(12.48±1.97)at each sampling site than point counting method(6.13±2.69),particularly highlighting several rare and elusive species,it failed to detect some species commonly observed by the point counting method.The alpha diversity analysis revealed no significant differences in waterbird diversity between the e DNA method and the point counting method,except that the e DNA method exhibited lower Pielou evenness.Waterbird e DNA sequencing abundance correlated significantly with species occurrence,whereas Spearman's analysis indicated no significant difference between e DNA sequence abundance and species abundance from the point counting method.e DNA method detected no significant difference in waterbird composition between sampling sites,while the point counting method revealed significant differences.Consequently,e DNA is an effective complementary tool for assessing the diversity of wintering waterbirds in lakes,though it is unable to capture the full diversity of waterbird communities.It is crucial to develop sampling strategies that comprehensively monitor species composition and integrate e DNA with traditional survey methods for accurate evaluation of community structure.展开更多
Varicocele is a prevalent condition in the infertile male population.However,to date,which patients may benefit most from varicocele repair is still a matter of debate.The purpose of this study was to evaluate whether...Varicocele is a prevalent condition in the infertile male population.However,to date,which patients may benefit most from varicocele repair is still a matter of debate.The purpose of this study was to evaluate whether certain preintervention sperm parameters are predictive of successful varicocele repair,defined as an improvement in total motile sperm count(TMSC).We performed a retrospective study on 111 patients with varicocele who had undergone varicocele repair,collected from the Department of Endocrinology,Metabolic Diseases and Nutrition,University of Catania(Catania,Italy),and the Unit of Urology at the Selcuk University School of Medicine(Konya,Türkiye).The predictive analysis was conducted through the use of the Brain Project,an innovative tool that allows a complete and totally unbiased search of mathematical expressions that relate the object of study to the various parameters available.Varicocele repair was considered successful when TMSC increased by at least 50% of the preintervention value.For patients with preintervention TMSC below 5×10^(6),improvement was considered clinically relevant when the increase exceeded 50% and the absolute TMSC value was>5×10^(6).From the preintervention TMSC alone,we found a model that predicts patients who appear to benefit little from varicocele repair with a sensitivity of 50.0% and a specificity of 81.8%.Varicocele grade and serum follicle-stimulating hormone(FSH)levels did not play a predictive role,but it should be noted that all patients enrolled in this study were selected with intermediate-or high-grade varicocele and normal FSH levels.In conclusion,preintervention TMSC is predictive of the success of varicocele repair in terms of TMSC improvement in patients with intermediate-or high-grade varicoceles and normal FSH levels.展开更多
Combined cycle propulsion shows great potential for wide speed and altitude range flights.However,the jets of different types of engines may interact and form complex flow structures.Given that the specific effects of...Combined cycle propulsion shows great potential for wide speed and altitude range flights.However,the jets of different types of engines may interact and form complex flow structures.Given that the specific effects of jets interaction are closely related to combined nozzle configuration and working conditions,this paper analyzes the experiments of a simplified over-under combined nozzle and attempts to summarize the principles of the influence of twin-jet interaction on over-under combined nozzle performance.Firstly,twin-jet interaction directly changes the combined nozzle gross force via changing flow structure and parameters distribution inside the control volume.For example,the merging of supersonic jets forms wave systems,and the injection effect changes local pressure and the position of Free Shock Separation(FSS).Secondly,twin-jet interaction changes the force counting system.Assuming each flow-path as an isolated control volume leads to a mismatch of local pressure and reference ambient pressure.Thus,the combined nozzle should be considered as a whole control volume.Thirdly,twin-jet interaction may couple with jet-external interaction.On the one hand,jet-external interaction forms additional wave systems.On the other hand,the original expansion state of the nozzle during independent operation alters the performance baseline.Three practical experiments are conducted to verify these principles.These principles indicate that the influence of twin-jet interaction should be carefully considered in combined nozzle design.Utilizing the beneficial effect of twin-jet interaction can increase both the thrust and the lift,making the overall performance of the combined nozzle superior to the sum of two individual nozzles.However,twin-jet interaction may also decrease wall pressure,or alter the FSS position and flow direction of the over-expanded jet,resulting in a decrease in overall performance.These potential adverse effects should be avoided.展开更多
文摘Oligospermia,characterized by a low sperm count in semen,is a major cause of male infertility and may result from various factors including infections,lifestyle choices,retrograde ejaculation,tumors,hormonal imbalances,drug treatments,and environmental exposures.Animal models play a crucial role in understanding its pathophysiology,identifying therapeutic targets,and evaluating potential treatments.The current review highlights experimental models used to induce oligospermia in laboratory animals,focusing on chemical,surgical,and radiation-based approaches.We review the reversible and irreversible methods commonly employed to study impaired spermatogenesis,along with the key endpoints used to assess testicular function and sperm quality.Standard housing and feeding conditions relevant to oligospermia research are also summarized to support reproducibility and methodological consistency in experimental designs.
文摘Title Page The title page(page 1,do not number)should contain these elements:(a)full title;(b)Each authors'names,academic degrees,and affiliations(if Chinese,give standard English version);(c)the designated corresponding author's name,mailing address,telephone and fax numbers,and e-mail address;(d)source(s)of financial support of the study;(e)the total word count of the manuscript,including the title page,abstract,text,references,tables,and figures legends.
基金supported in part by the Natural Science Foundation of Shaanxi Province of China under Grant 2024JC-YBQN-0695.
文摘Regular detection of pavement cracks is essential for infrastructure maintenance.However,existing methods often ignore the challenges such as the continuous evolution of crack features between video frames and the difficulty of defect quantification.To this end,this paper proposes an integrated framework for pavement crack detection,segmentation,tracking and counting based on Transformer.Firstly,we design theVitSeg-Det network,which is an integrated detection and segmentation network that can accurately locate and segment tiny cracks in complex scenes.Second,the TransTra-Count system is developed to automatically count the number of defects by combining defect tracking with width estimation.Finally,we conduct experimental verification on three datasets.The results show that the proposed method is superior to the existing deep learning methods in detection accuracy.In addition,the actual scene video test shows that the framework can accurately label the defect location and output the number of defects in real time.
文摘Objective:To evaluate and compare coagulation and hematological parameters in hypertensive and normotensive pregnant women.Methods:This present cross-sectional study was carried out in the Departments of Pathology and Obstetrics&Gynaecology at Dr.D.Y.Patil Medical College,Hospital&Research Centre,Pimpri,Pune,India from September 2023 to March 2025.Hematological parameters[platelet count,mean platelet volume(MPV),platelet distribution width(PDW)]were analyzed using an automated hematology analyzer,while coagulation parameters[prothrombin time(PT)/international normalised ratio,activated partial thromboplastin time(aPTT),and D-dimer]were assessed by standard automated assays.Results were compared between normotensive and hypertensive groups and correlated with disease severity.Results:The study included 212 antenatal females,with 106 normotensive pregnant women and 106 hypertensive women.Hypertensive women include cases of gestational hypertension(n=55);mild preeclampsia(n=39),and severe preeclampsia(n=12).A significant progressive decrease in platelet count and significant increases in MPV,PDW,PT,aPTT,and D-dimer levels were associated with increasing severity of pregnancy-induced hypertension(P<0.001).Women with severe preeclampsia had the lowest mean platelet counts and the highest coagulation parameter values compared to women with gestational hypertension,mild preeclampsia,and normotensive pregnancies.These findings indicate enhanced platelet activation,endothelial dysfunction,and activation of the coagulation–fibrinolytic system with worsening disease severity.Conclusions:Significant hematologic and coagulation abnormalities were present in women with pregnancy-induced hypertension.For better maternal-fetal outcomes and early management,routine monitoring is essential.
基金supported by the Deanship of Scientific Research,Vice Presidency for Graduate Studies and Scientific Research,King Faisal University,Saudi Arabia,Grant No.KFU250098.
文摘In this study,an automated multimodal system for detecting,classifying,and dating fruit was developed using a two-stage YOLOv11 pipeline.In the first stage,the YOLOv11 detection model locates individual date fruits in real time by drawing bounding boxes around them.These bounding boxes are subsequently passed to a YOLOv11 classification model,which analyzes cropped images and assigns class labels.An additional counting module automatically tallies the detected fruits,offering a near-instantaneous estimation of quantity.The experimental results suggest high precision and recall for detection,high classification accuracy(across 15 classes),and near-perfect counting in real time.This paper presents a multi-stage pipeline for date fruit detection,classification,and automated counting,employing YOLOv11-based models to achieve high accuracy while maintaining real-time throughput.The results demonstrated that the detection precision exceeded 90%,the classification accuracy approached 92%,and the counting module correlated closely with the manual tallies.These findings confirm the potential of reducing manual labour and enhancing operational efficiency in post-harvesting processes.Future studies will include dataset expansion,user-centric interfaces,and integration with harvesting robotics.
基金funded by the National Natural Science Foundation of China(62273213,62472262,62572287)Natural Science Foundation of Shandong Province(ZR2024MF144)+1 种基金Natural Science Foundation of Shandong Province for Innovation and Development Joint Funds(ZR2022LZH001)Taishan Scholarship Construction Engineering.
文摘Accurately counting dense objects in complex and diverse backgrounds is a significant challenge in computer vision,with applications ranging from crowd counting to various other object counting tasks.To address this,we propose HUANNet(High-Resolution Unified Attention Network),a convolutional neural network designed to capture both local features and rich semantic information through a high-resolution representation learning framework,while optimizing computational distribution across parallel branches.HUANNet introduces three core modules:the High-Resolution Attention Module(HRAM),which enhances feature extraction by optimizing multiresolution feature fusion;the Unified Multi-Scale Attention Module(UMAM),which integrates spatial,channel,and convolutional kernel information through an attention mechanism applied across multiple levels of the network;and the Grid-Assisted Point Matching Module(GPMM),which stabilizes and improves point-to-point matching by leveraging grid-based mechanisms.Extensive experiments show that HUANNet achieves competitive results on the ShanghaiTech Part A/B crowd counting datasets and sets new state-of-the-art performance on dense object counting datasets such as CARPK and XRAY-IECCD,demonstrating the effectiveness and versatility of HUANNet.
基金supported by the National Natural Science Foundation of China under Grant 62171233the Natural Science Foundation of China,Jiangsu Province under Grant BK20241891the Jiangsu Province Graduate Research and Practice Innovation Plan under Grants SJCX24_0313 and KYCX24_1169。
文摘A high-sensitivity,low-noise single photon avalanche diode(SPAD)detector was presented based on a 180 nm BCD process.The proposed device utilizes a p-implant layer/high-voltage n-well(HVNW)junction to form a deep avalanche multiplication region for near-infrared(NIR)sensitivity enhancement.By optimizing the device size and electric field of the guard ring,the fill factor(FF)is significantly improved,further increasing photon detection efficiency(PDE).To solve the dark noise caused by the increasing active diameter,a field polysilicon gate structure connected to the p+anode was investigated,effectively suppressing dark count noise by 76.6%.It is experimentally shown that when the active diameter increases from 5 to 10μm,the FF is significantly improved from 20.7%to 39.1%,and thus the peak PDE also rises from 13.3%to 25.8%.At an excess bias voltage of 5 V,a NIR photon detection probability(PDP)of 6.8%at 905 nm,a dark count rate(DCR)of 2.12 cps/μm^(2),an afterpulsing probability(AP)of 1.2%,and a timing jitter of 216 ps are achieved,demonstrating excellent single photon detection performance.
基金supported by the National Natural Science Foundation of China (No.72091511)the Science Fund for Distinguished Young Scholars of Hebei Province (No.E2022402064).
文摘Tuojiang River Basin is a first-class tributary of the upper reaches of the Yangtze River—which is the longest river in China.As phytoplankton are sensitive indicators of trophic changes inwater bodies,characterizing phytoplankton communities and their growth influencing factors in polluted urban rivers can provide new ideas for pollution control.Here,we used direct microscopic count and environmental DNA(eDNA)metabarcoding methods to investigate phytoplankton community structure in Tuojiang River Basin(Chengdu,Sichuan Province,China).The association between phytoplankton community structure and water environmental factors was evaluated by Mantel analysis.Additional environmental monitoring data were used to pinpoint major factors that influenced phytoplankton growth based on structural equation modeling.At the phylum level,the dominant phytoplankton taxa identified by the conventional microscopic method mainly belonged to Bacillariophyta,Chlorophyta,and Cyanophyta,in contrast with Chlorophyta,Dinophyceae,and Bacillariophyta identified by eDNA metabarcoding.Inα-diversity analysis,eDNA metabarcoding detected greater species diversity and achieved higher precision than the microscopic method.Phytoplankton growth was largely limited by phosphorus based on the nitrogen-to-phosphorus ratios>16:1 in all water samples.Redundancy analysis and structural equation modeling also confirmed that the nitrogen-to-phosphorus ratio was the principal factor influencing phytoplankton growth.The results could be useful for implementing comprehensive management of the river basin environment.It is recommended to control the discharge of point-and surface-source pollutants and the concentration of dissolved oxygen in areas with excessive nutrients(e.g.,Jianyang-Ziyang).Algae monitoring techniques and removal strategies should be improved in 201 Hospital,Hongrihe Bridge and Colmar Town areas.
基金supported by the Natural Science Foundation of China(No.52070145,51778453).
文摘The effects of disinfectants and plasmid-based antibiotic resistance genes(ARGs)on the growth of microorganisms and the plasmid-mediated transfer of ARGs in the water and biofilm of the drinkingwater distribution system under simulated conditionswere explored.The heterotrophic plate count of the water in reactors with 0.1 mg/L NaClO and NH_(2)Cl was higher than in the control groups.Therewas no similar phenomenon in biofilm.In thewater of reactors containing NaClO,the aphA and bla geneswere lower than in the antibiotic resistant bacteria group,while both genes were higher in the water of reactors with NH_(2)Cl than in the control group.Chloramine may promote the transfer of ARGs in the water phase.Both genes in the biofilm of the reactors containing chlorine were lower than the control group.Correlation analysis between ARGs and water quality parameters revealed that the copy numbers of the aphA gene were significantly positively correlated with the copy numbers of the bla gene in water and significantly negatively correlated in biofilm(p<0.05).The results of the sequencing assay showed that bacteria in the biofilm,in the presence of disinfectant,were primarily Gram-negative.1.0 mg/L chlorine decreased the diversity of the community in the biofilm.The relative abundance of some bacteria that may undergo transfer increased in the biofilm of the reactor containing 0.1 mg/L chlorine.
基金the Innovation Program for Quantum Science and Technology(Grant No.2023ZD0300100)the National Key Research and Development Program of China(Grant Nos.2023YFB3809600 and 2023YFC3007801)+1 种基金the National Natural Science Foundation of China(Grant Nos.62301543 and U24A20320)the Shanghai Sailing Program(Grant No.21YF1455700).
文摘Conventional superconducting nanowire single-photon detectors(SNSPDs)have been typically limited in their applications due to their size,weight,and power consumption,which confine their use to laboratory settings.However,with the rapid development of remote imaging,sensing technologies,and long-range quantum communication with fewer topographical constraints,the demand for high-efficiency single-photon detectors integrated with avionic platforms is rapidly growing.We herein designed and manufactured the first drone-based SNSPD system with a system detection efficiency(SDE)as high as 91.8%.This drone-based system incorporates high-performance NbTiN SNSPDs,a self-developed miniature liquid helium dewar,and custom-built integrated electrical setups,making it capable of being launched in complex topographical conditions.Such a drone-based SNSPD system may open the use of SNSPDs for applications that demand high SDE in complex environments.
基金support of the Natural Science Foundation of Jiangsu Province,China(BK20240977)the China Scholarship Council(201606850024)+1 种基金the National High Technology Research and Development Program of China(2016YFD0701003)the Postgraduate Research&Practice Innovation Program of Jiangsu Province,China(SJCX23_1488)。
文摘Deep learning-based intelligent recognition algorithms are increasingly recognized for their potential to address the labor-intensive challenge of manual pest detection.However,their deployment on mobile devices has been constrained by high computational demands.Here,we developed GBiDC-PEST,a mobile application that incorporates an improved,lightweight detection algorithm based on the You Only Look Once(YOLO)series singlestage architecture,for real-time detection of four tiny pests(wheat mites,sugarcane aphids,wheat aphids,and rice planthoppers).GBiDC-PEST incorporates several innovative modules,including GhostNet for lightweight feature extraction and architecture optimization by reconstructing the backbone,the bi-directional feature pyramid network(BiFPN)for enhanced multiscale feature fusion,depthwise convolution(DWConv)layers to reduce computational load,and the convolutional block attention module(CBAM)to enable precise feature focus.The newly developed GBiDC-PEST was trained and validated using a multitarget agricultural tiny pest dataset(Tpest-3960)that covered various field environments.GBiDC-PEST(2.8 MB)significantly reduced the model size to only 20%of the original model size,offering a smaller size than the YOLO series(v5-v10),higher detection accuracy than YOLOv10n and v10s,and faster detection speed than v8s,v9c,v10m and v10b.In Android deployment experiments,GBiDCPEST demonstrated enhanced performance in detecting pests against complex backgrounds,and the accuracy for wheat mites and rice planthoppers was improved by 4.5-7.5%compared with the original model.The GBiDC-PEST optimization algorithm and its mobile deployment proposed in this study offer a robust technical framework for the rapid,onsite identification and localization of tiny pests.This advancement provides valuable insights for effective pest monitoring,counting,and control in various agricultural settings.
文摘This letter critically evaluates Jiang et al's article on the differentiation of benign and malignant liver lesions using Emax and platelet count.Despite notable findings,significant methodological and interpretative limitations are identified.The study lacks detailed assay conditions for Emax measurement,employs inadequate statistical methods without robust multivariate analysis,and does not provide clinically relevant threshold values.The nomogram's reliance on Emax as a major diagnostic contributor is questionable due to attenuation in hepatocellular carcinoma patients with cirrhosis.Moreover,the study's limitations,such as selection bias and confounding factors,are not adequately addressed.Future research should adopt more rigorous methodologies,including prospective studies with larger cohorts and standardized protocols for biomarker measurement,to enhance validity and clinical applicability.
基金supported by Social Science Planning Foundation of Liaoning Province(Grand No.L22ZD065)National Natural Science Foundation of China(Grand Nos.12271231,1247012719,12001229)。
文摘To better capture the characteristics of asymmetry and structural fluctuations observed in count time series,this study delves into the application of the quantile regression(QR)method for analyzing and forecasting nonlinear integer-valued time series exhibiting a piecewise phenomenon.Specifically,we focus on the parameter estimation in the first-order Self-Exciting Threshold Integer-valued Autoregressive(SETINAR(2,1))process with symmetry,asymmetry,and contaminated innovations.We establish the asymptotic properties of the estimator under certain regularity conditions.Monte Carlo simulations demonstrate the superior performance of the QR method compared to the conditional least squares(CLS)approach.Furthermore,we validate the robustness of the proposed method through empirical quantile regression estimation and forecasting for larceny incidents and CAD drug call counts in Pittsburgh,showcasing its effectiveness across diverse levels of data heterogeneity.
基金Supported by the Inner Mongolia Autonomous Region's Key Research and Achievement Transformation Plan(2025YFSH0029).
文摘[Objectives]To evaluate the performance of two rapid chromogenic media for the detection of Bacillus cereus in milk powder,and verify the media's inclusivity,exclusivity,and accuracy,and to assess their applicability for the quantitative detection of B.cereus.[Methods]B.cereus in milk powder samples was quantified using two rapid chromogenic media in combination with the national standard method.Agreement between the quantitative results from the three methods was subsequently assessed for agreement via a paired t-test.[Results]No significant differences were observed between the bacterial counts yielded by the two rapid chromogenic media and the national standard method(P>0.05),with excellent agreement between them.[Conclusions]The method of rapid chromogenic culture medium is rapid and simple.
文摘Title Page The title page(page 1,do not number)should contain these elements:(a)full title;(b)Each authors’names,academic degrees,and affiliations(if Chinese,give standard English version);(c)the designated corresponding author's name,mailing address,telephone and fax numbers,and e-mail address;(d)source(s)of financial support of the study;(e)the total word count of the manuscript,including the title page,abstract,text,references,tables,and figures legends.
基金supported by the National Natural Science Foundation of China(Nos.12375191,12275218,12341502,12105224,12205307)National Key Research and Development Program of China(No.2023YFE0206300,2023YFF0719600)+2 种基金Guangdong Basic and Applied Basic Research Foundation(No.2024A1515012141)China Postdoctoral Science Foundation(No.2023M742850)Innovation Foundation for Doctor Dissertation of Northwestern Polytechnical University(No.CX2021025)。
文摘This study presents a low-noise,high-rate front-end readout application-specific integrated circuit(ASIC)designed for the electromagnetic calorimeter(ECAL)of the Super Tau-Charm Facility(STCF).To address the high background-count rate in the STCF ECAL,the temporal features of signals are analyzed node-by-node along the chain of the analog front-end circuit.Then,the system is optimized to mitigate the pile-up effects and elevate the count rate to megahertz levels.First,a charge-sensitive amplifier(CSA)with a fast reset path is developed,enabling quick resetting when the output reaches the maximum amplitude.This prevents the CSA from entering a pulse-dead zone owing to amplifier saturation caused by the pile-up.Second,a high-order shaper with baseline holder circuits is improved to enhance the anti-pile-up capability while maintaining an effective noise-filtering performance.Third,a high-speed peak-detection and hold circuit with an asynchronous first-input-first-output buffer function is proposed to hold and read the piled-up signals of the shaper.The ASIC is designed and manufactured using a standard commercial 1P6M 0.18μm mixed-signal CMOS process with a chip area of 2.4 mm×1.6 mm.The measurement results demonstrate a dynamic range of 4–500 fC with a nonlinearity error below 1.5%.For periodically distributed input signals,a count rate of 1.5 MHz/Ch is achieved with a peak time of 360 ns,resulting in an equivalent noise charge(ENC)of 2500 e^(-)-.The maximum count rate is 4 MHz/Ch at a peak time of 120 ns.At a peak time of 1.68μs with a 270 pF external capacitance,the minimum ENC is 1966 e^(-)-,and the noise slope is 3.08 e^(-)-∕pF.The timing resolution is better than 125 ps at an input charge of 200 fC.The power consumption is 35 mW/Ch.
基金funded by the National Key Research and Development Program of China(Award Number:2022YFC3202104)。
文摘Environmental DNA(e DNA)methods have emerged as a promising tool for studying a broad spectrum of biological taxa.However,metabarcoding studies of avian biodiversity using e DNA have received little attention.In this study,we compared waterbird biodiversity derived from e DNA metabarcoding with that obtained from traditional point counting surveys at 23 sites in Tai Lake of eastern China and evaluated the accuracy of e DNA metabarcoding for waterbird community studies.The point counting method recorded a higher total number of waterbird species(22)compared to the e DNA technique(16).While e DNA achieved a 74.5%detection rate for waterbird species and was able to identify a significantly greater number of species(12.48±1.97)at each sampling site than point counting method(6.13±2.69),particularly highlighting several rare and elusive species,it failed to detect some species commonly observed by the point counting method.The alpha diversity analysis revealed no significant differences in waterbird diversity between the e DNA method and the point counting method,except that the e DNA method exhibited lower Pielou evenness.Waterbird e DNA sequencing abundance correlated significantly with species occurrence,whereas Spearman's analysis indicated no significant difference between e DNA sequence abundance and species abundance from the point counting method.e DNA method detected no significant difference in waterbird composition between sampling sites,while the point counting method revealed significant differences.Consequently,e DNA is an effective complementary tool for assessing the diversity of wintering waterbirds in lakes,though it is unable to capture the full diversity of waterbird communities.It is crucial to develop sampling strategies that comprehensively monitor species composition and integrate e DNA with traditional survey methods for accurate evaluation of community structure.
文摘Varicocele is a prevalent condition in the infertile male population.However,to date,which patients may benefit most from varicocele repair is still a matter of debate.The purpose of this study was to evaluate whether certain preintervention sperm parameters are predictive of successful varicocele repair,defined as an improvement in total motile sperm count(TMSC).We performed a retrospective study on 111 patients with varicocele who had undergone varicocele repair,collected from the Department of Endocrinology,Metabolic Diseases and Nutrition,University of Catania(Catania,Italy),and the Unit of Urology at the Selcuk University School of Medicine(Konya,Türkiye).The predictive analysis was conducted through the use of the Brain Project,an innovative tool that allows a complete and totally unbiased search of mathematical expressions that relate the object of study to the various parameters available.Varicocele repair was considered successful when TMSC increased by at least 50% of the preintervention value.For patients with preintervention TMSC below 5×10^(6),improvement was considered clinically relevant when the increase exceeded 50% and the absolute TMSC value was>5×10^(6).From the preintervention TMSC alone,we found a model that predicts patients who appear to benefit little from varicocele repair with a sensitivity of 50.0% and a specificity of 81.8%.Varicocele grade and serum follicle-stimulating hormone(FSH)levels did not play a predictive role,but it should be noted that all patients enrolled in this study were selected with intermediate-or high-grade varicocele and normal FSH levels.In conclusion,preintervention TMSC is predictive of the success of varicocele repair in terms of TMSC improvement in patients with intermediate-or high-grade varicoceles and normal FSH levels.
基金funded by the National Natural Science Foundation of China(No.12332018)the Science Center for Gas Turbine Project,China(No.P2022-B-I-006-001)the China Postdoctoral Science Foundation(No.2022M721598)。
文摘Combined cycle propulsion shows great potential for wide speed and altitude range flights.However,the jets of different types of engines may interact and form complex flow structures.Given that the specific effects of jets interaction are closely related to combined nozzle configuration and working conditions,this paper analyzes the experiments of a simplified over-under combined nozzle and attempts to summarize the principles of the influence of twin-jet interaction on over-under combined nozzle performance.Firstly,twin-jet interaction directly changes the combined nozzle gross force via changing flow structure and parameters distribution inside the control volume.For example,the merging of supersonic jets forms wave systems,and the injection effect changes local pressure and the position of Free Shock Separation(FSS).Secondly,twin-jet interaction changes the force counting system.Assuming each flow-path as an isolated control volume leads to a mismatch of local pressure and reference ambient pressure.Thus,the combined nozzle should be considered as a whole control volume.Thirdly,twin-jet interaction may couple with jet-external interaction.On the one hand,jet-external interaction forms additional wave systems.On the other hand,the original expansion state of the nozzle during independent operation alters the performance baseline.Three practical experiments are conducted to verify these principles.These principles indicate that the influence of twin-jet interaction should be carefully considered in combined nozzle design.Utilizing the beneficial effect of twin-jet interaction can increase both the thrust and the lift,making the overall performance of the combined nozzle superior to the sum of two individual nozzles.However,twin-jet interaction may also decrease wall pressure,or alter the FSS position and flow direction of the over-expanded jet,resulting in a decrease in overall performance.These potential adverse effects should be avoided.
