Cataracts are the leading cause of blindness worldwide. Current methods for discriminating cataractous lenses from healthy lenses of Sprague-Dawley rats during preclinical studies are based on either histopathological...Cataracts are the leading cause of blindness worldwide. Current methods for discriminating cataractous lenses from healthy lenses of Sprague-Dawley rats during preclinical studies are based on either histopathological or clinical assessments which are weakened by subjectivity. In this work, both cataractous and healthy lens tissues of Sprague-Dawley rats were studied using multispectral imaging technique in combination with multivariate analysis. Multispectral images were captured in transmission, reflection and scattering modes. In all, five spectral bands were found to be markers for discriminating cataractous lenses from healthy lenses;470 nm and 625 nm discriminated in reflection mode whereas 435 nm, 590 nm and 700 nm discriminated in transmission mode. With Fisher’s Linear discriminant analysis, the midpoints for classifying cataractous from healthy lenses were found to be 14.718 × 10−14 and 3.2374 × 10−14 for the two spectra bands in the reflection mode and the three spectral bands in the transmission mode respectively. Images in scattering mode did not show significant discrimination. These spectral bands in reflection and transmission modes may offer potential diagnostic markers for discriminating cataractous lenses from healthy lenses thereby promising multispectral imaging applications for characterizing cataractous and healthy lenses.展开更多
To better understand the migration behavior of plastic fragments in the environment,development of rapid non-destructive methods for in-situ identification and characterization of plastic fragments is necessary.Howeve...To better understand the migration behavior of plastic fragments in the environment,development of rapid non-destructive methods for in-situ identification and characterization of plastic fragments is necessary.However,most of the studies had focused only on colored plastic fragments,ignoring colorless plastic fragments and the effects of different environmental media(backgrounds),thus underestimating their abundance.To address this issue,the present study used near-infrared spectroscopy to compare the identification of colored and colorless plastic fragments based on partial least squares-discriminant analysis(PLS-DA),extreme gradient boost,support vector machine and random forest classifier.The effects of polymer color,type,thickness,and background on the plastic fragments classification were evaluated.PLS-DA presented the best and most stable outcome,with higher robustness and lower misclassification rate.All models frequently misinterpreted colorless plastic fragments and its background when the fragment thickness was less than 0.1mm.A two-stage modeling method,which first distinguishes the plastic types and then identifies colorless plastic fragments that had been misclassified as background,was proposed.The method presented an accuracy higher than 99%in different backgrounds.In summary,this study developed a novel method for rapid and synchronous identification of colored and colorless plastic fragments under complex environmental backgrounds.展开更多
Yellow rust(Puccinia striiformis f.sp.Tritici,YR)and fusarium head blight(Fusarium graminearum,FHB)are the two main diseases affecting wheat in the main grain-producing areas of East China,which is common for the two ...Yellow rust(Puccinia striiformis f.sp.Tritici,YR)and fusarium head blight(Fusarium graminearum,FHB)are the two main diseases affecting wheat in the main grain-producing areas of East China,which is common for the two diseases to appear simultaneously in some main production areas.It is necessary to discriminate wheat YR and FHB at the regional scale to accurately locate the disease in space,conduct detailed disease severity monitoring,and scientific control.Four images on different dates were acquired from Sentinel-2,Landsat-8,and Gaofen-1 during the critical period of winter wheat,and 22 remote sensing features that characterize the wheat growth status were then calculated.Meanwhile,6 meteorological parameters that reflect the wheat phenological information were also obtained by combining the site meteorological data and spatial interpolation technology.Then,the principal components(PCs)of comprehensive remote sensing and meteorological features were extracted with principal component analysis(PCA).The PCs-based discrimination models were established to map YR and FHB damage using the random forest(RF)and backpropagation neural network(BPNN).The models’performance was verified based on the disease field truth data(57 plots during the filling period)and 5-fold cross-validation.The results revealed that the PCs obtained after PCA dimensionality reduction outperformed the initial features(IFs)from remote sensing and meteorology in discriminating between the two diseases.Compared to the IFs,the average area under the curve for both micro-average and macro-average ROC curves increased by 0.07 in the PCs-based RF models and increased by 0.16 and 0.13,respectively,in the PCs-based BPNN models.Notably,the PCs-based BPNN discrimination model emerged as the most effective,achieving an overall accuracy of 83.9%.Our proposed discrimination model for wheat YR and FHB,coupled with multi-source remote sensing images and meteorological data,overcomes the limitations of a single-sensor and single-phase remote sensing information in multiple stress discrimination in cloudy and rainy areas.It performs well in revealing the damage spatial distribution of the two diseases at a regional scale,providing a basis for detailed disease severity monitoring,and scientific prevention and control.展开更多
Pulse pile-up is a problem in nuclear spectroscopy and nuclear reaction studies that occurs when two pulses overlap and distort each other,degrading the quality of energy and timing information.Different methods have ...Pulse pile-up is a problem in nuclear spectroscopy and nuclear reaction studies that occurs when two pulses overlap and distort each other,degrading the quality of energy and timing information.Different methods have been used for pile-up rejection,both digital and analogue,but some pile-up events may contain pulses of interest and need to be reconstructed.The paper proposes a new method for reconstructing pile-up events acquired with a neutron detector array(NEDA)using an one-dimensional convolutional autoencoder(1D-CAE).The datasets for training and testing the 1D-CAE are created from data acquired from the NEDA.The new pile-up signal reconstruction method is evaluated from the point of view of how similar the reconstructed signals are to the original ones.Furthermore,it is analysed considering the result of the neutron-gamma discrimination based on charge comparison,comparing the result obtained from original and reconstructed signals.展开更多
INTRODUCTION Reports indicating that culturally and linguistically diverse(CALD)people-often with migrant backgrounds-in Australia and New Zealand are more likely to be placed in compulsory community treatment(CCT)hav...INTRODUCTION Reports indicating that culturally and linguistically diverse(CALD)people-often with migrant backgrounds-in Australia and New Zealand are more likely to be placed in compulsory community treatment(CCT)have rightlyraised concernsthat such action might be discriminatory.展开更多
Measuring the impact of AI systems The recent 2025 AI Index Report from Stanford University revealed that skepticism about the ethical conduct of AI companies is growing,and trust in fairness is shrinking.There is als...Measuring the impact of AI systems The recent 2025 AI Index Report from Stanford University revealed that skepticism about the ethical conduct of AI companies is growing,and trust in fairness is shrinking.There is also less confidence that personal data will be protected and fewer people believe AI systems are unbiased and free of discrimination.Trust and transparency are essential for AI to deliver on its promises in a safe and responsible way.Governments are stepping up with new AI-related regulations,and international standards such as ISO/IEC 42001 have been developed to support them,but a lot more needs to be done to reduce potential risks and address societal concerns.展开更多
Vocal individuality is essential for social discrimination but has been poorly studied in animals that produce communal signals(duets or choruses).Song overlapping and temporal coordination make the assessment of indi...Vocal individuality is essential for social discrimination but has been poorly studied in animals that produce communal signals(duets or choruses).Song overlapping and temporal coordination make the assessment of individuality in communal signals more complex.In addition,selection may favor the accurate identifcation of pairs over individuals by receivers in year-round territorial species with duetting and long-term pair bonding.Here,we studied pair and individual vocal signatures in the polyphonal duets of rufous horneros Furnarius rufus,a Neotropical bird known for its long-term pair bonds.Hornero partners engage in duets to deter territorial intruders and protect their partnership year-round and can discern duets from neighbors versus strangers.Using a dataset of 471 duets from 43 pairs in 2 populations,we measured fne-scale acoustic features across different duet levels(e.g.,complete duets to non-overlapping syllable parts)and analysis levels(pair or individual).Permuted linear discriminant function analyses classifed pairs and individuals more accurately than expected by chance(means:45%and 47%vs.4 and 2%).Pair identity explained more variance in the multivariate acoustic features of duets than individual or population identities.The initial frequency of the duet showed strong potential for encoding pair identity.The acoustic traits contributing most to individual vocal signatures varied between sexes,which might facilitate the simultaneous assessment of duetters’identities by receivers.Our study indicates that vocal individuality may exist even in species with intricate and innate communal signals and elucidates the mechanisms employed by horneros in their social discrimination ability.展开更多
Polymethyl methacrylate(PMMA)is an optically transparent thermoplastic with favorable processing conditions.In this study,a series of plastic scintillators are prepared via thermal polymerization,and the impact of PMM...Polymethyl methacrylate(PMMA)is an optically transparent thermoplastic with favorable processing conditions.In this study,a series of plastic scintillators are prepared via thermal polymerization,and the impact of PMMA content on their transparency and pulse shape discrimination(PSD)ability is investigated.The fabricated samples,comprising a polystyrene(PS)-PMMA matrix,30.0 wt%2,5-diphenyloxazole(PPO),and 0.2 wt%9,10-diphenylanthracene(DPA),exhibit high transparency with transmissivity ranging from 70.0 to 90.0%(above 415.0 nm)and demonstrate excellent n/γdiscrimination capability.Transparency increased with increasing PMMA content across the entire visible light spectrum.However,the PSD performance gradually deteriorated when the aromatic matrix was replaced with PMMA.The scintillator containing 20.0 wt%PMMA demonstrated the best stability concerning PSD properties and relative light yields.展开更多
HIV-related stigma,discrimination,and other forms of oppression can severely undermine adherence to antiretroviral therapy(ART)among people living with HIV[1].For example,Kerr et al.reveal that perceived discriminatio...HIV-related stigma,discrimination,and other forms of oppression can severely undermine adherence to antiretroviral therapy(ART)among people living with HIV[1].For example,Kerr et al.reveal that perceived discrimination based on sexual orientation in healthcare settings significantly reduces ART adherence[1].This highlights the urgent need for targeted strategies to address stigma,discrimination,and social marginalization,especially within healthcare facilities,to improve HIV care outcomes.展开更多
Previous studies have found associations between color discrimination deficits and cognitive impairments besides aging.However,investigations into the microstructural pathology of brain white matter(WM)associated with...Previous studies have found associations between color discrimination deficits and cognitive impairments besides aging.However,investigations into the microstructural pathology of brain white matter(WM)associated with these deficits remain limited.This study aimed to examine the microstructural characteristics of WM in the non-demented population with abnormal color discrimination,utilizing Neurite Orientation Dispersion and Density Imaging(NODDI),and to explore their correlations with cognitive functions and cognition-related plasma biomarkers.The tract-based spatial statistic analysis revealed significant differences in specific brain regions between the abnormal color discrimination group and the healthy controls,characterized by increased isotropic volume fraction and decreased neurite density index and orientation dispersion index.Further analysis of region-of-interest parameters revealed that the isotropic volume fraction in the bilateral anterior thalamic radiation,superior longitudinal fasciculus,cingulum,and forceps minor was significantly correlated with poorer performance on neuropsychological assessments and to varying degrees various cognition-related plasma biomarkers.These findings provide neuroimaging evidence that WM microstructural abnormalities in non-demented individuals with abnormal color discrimination are associated with cognitive dysfunction,potentially serving as early markers for cognitive decline.展开更多
Dear Editor,Infertility refers to the inability to conceive after one year of regular unprotected intercourse,and as per the available estimates,close to 50 million couples are being affected worldwide[1].In many comm...Dear Editor,Infertility refers to the inability to conceive after one year of regular unprotected intercourse,and as per the available estimates,close to 50 million couples are being affected worldwide[1].In many communities,infertility is regarded as a sign of personal failure,where individuals are blamed for their inability to conceive[2].It is not an unusual practice that people with infertility are excluded from social rituals like baby showers or functions related to parenthood[2].Women are generally considered solely responsible for the condition,while in reality,it can equally affect men[2].On the other hand,men experiencing infertility are subjected to mockery for a reduced sense of masculinity[3].In many communities and cultures,infertility is viewed as a genuine reason for relationship strain and eventually divorce[2].Amid the fear that people will judge them,many couples hide their infertility struggles,and this further plays an important role in increasing stigma[2,3].Further,in some organizations,employers might not consider infertile persons for promotion under the assumption that they do not have many financial responsibilities[3].展开更多
Highly toxic phosgene,diethyl chlorophosphate(DCP)and volatile acyl chlorides endanger our life and public security.To achieve facile sensing and discrimination of multiple target analytes,herein,we presented a single...Highly toxic phosgene,diethyl chlorophosphate(DCP)and volatile acyl chlorides endanger our life and public security.To achieve facile sensing and discrimination of multiple target analytes,herein,we presented a single fluorescent probe(BDP-CHD)for high-throughput screening of phosgene,DCP and volatile acyl chlorides.The probe underwent a covalent cascade reaction with phosgene to form boron dipyrromethene(BODIPY)with bright green fluorescence.By contrast,DCP,diphosgene and acyl chlorides can covalently assembled with the probe,giving rise to strong blue fluorescence.The probe has demonstrated high-throughput detection capability,high sensitivity,fast response(within 3 s)and parts per trillion(ppt)level detection limit.Furthermore,a portable platform based on BDP-CHD was constructed,which has achieved high-throughput discrimination of 16 analytes through linear discriminant analysis(LDA).Moreover,a smartphone adaptable RGB recognition pattern was established for the quantitative detection of multi-analytes.Therefore,this portable fluorescence sensing platform can serve as a versatile tool for rapid and high-throughput detection of toxic phosgene,DCP and volatile acyl chlorides.The proposed“one for more”strategy simplifies multi-target discrimination procedures and holds great promise for various sensing applications.展开更多
The NEutron Detector Array(NEDA)is designed to be coupled to gamma-ray spectrometers to enhance the sensitivity of the setup by enabling reaction channel selection through counting of the evaporated neutrons.This arti...The NEutron Detector Array(NEDA)is designed to be coupled to gamma-ray spectrometers to enhance the sensitivity of the setup by enabling reaction channel selection through counting of the evaporated neutrons.This article presents the implementation of a double trigger condition system for NEDA,which improves the acquisition of neutrons and reduces the number of gamma rays acquired.Two independent triggers are generated in the double trigger condition system:one based on charge comparison(CC)and the other on time-of-flight(TOF).These triggers can be combined using OR and AND logic,offering four distinct trigger modes.The developed firmware is added to the previous one in the Virtex 6 field programmable gate array(FPGA)present in the system,which also includes signal processing,baseline correction,and various trigger logic blocks.The performance of the trigger system is evaluated using data from the E703 experiment performed at GANIL.The four trigger modes are applied to the same data,and a subsequent offline analysis is performed.It is shown that most of the detected neutrons are preserved with the AND mode,and the total number of gamma rays is significantly reduced.Compared with the CC trigger mode,the OR trigger mode allows increasing the selection of neutrons.In addition,it is demonstrated that if the OR mode is selected,the online CC trigger threshold can be raised without losing neutrons.展开更多
BACKGROUND The EuroSCORE II is a globally accepted tool for predicting mortality in patients undergoing cardiac surgery.However,the discriminative ability of this tool in non-European populations may be inadequate,lim...BACKGROUND The EuroSCORE II is a globally accepted tool for predicting mortality in patients undergoing cardiac surgery.However,the discriminative ability of this tool in non-European populations may be inadequate,limiting its use in other regions.AIM To evaluate the performance of EuroSCORE II in patients undergoing coronary artery bypass graft(CABG)surgery at a hospital in Bogotá,Colombia.METHODS An observational,analytical study of a retrospective cohort was designed.All patients admitted to Hospital Universitario Mayor Méderi who underwent CABG between December 2015 and May 2020 were included.In-hospital mortality was the primary outcome evaluated.Furthermore,the performance of EuroSCORE II was assessed in this population.RESULTS A total of 1009 patients were included[median age 66 years IQR=59-72,78.2%men].The overall in-hospital mortality was 5.5%(n=56).The median mortality predicted using EuroSCORE II was 1.29(IQR=0.92-2.11).Non-ST-segment elevation myocardial infarction was the most common preoperative diagnosis(54.1%),followed by ST-segment elevation myocardial infarction(19.1%)and unstable angina(14.3%).Urgent surgery was performed in 87.3%of the patients(n=881).Mortality rates in each group were as follows:Low risk 6.0%(n=45,observed-to-expected(O/E)ratio,5.6),moderate risk 3.0%(n=5,O/E ratio 1.17),high risk 5.0%(n=4,O/E ratio 0.94),and very high risk 7.6%(n=2,O/E ratio 0.71).The overall O/E ratio was 4.2.The area under the curve of EuroSCORE II was 0.55[95%confidence interval:0.48-0.63]CONCLUSION EuroSCORE II exhibited poor performance in this population owing to its low discriminative ability.This finding may be explained by the fact that the population comprised older individuals with higher ventricular function impairment.Moreover,unlike the population in which this tool was originally developed,most patients were not electively admitted for the surgery.展开更多
The objective of this study is to shed light on what the literature on English Language Teaching(ELT)job advertisements reveals about the ELT profession.For this aim,the existing nine articles are chosen as the focal ...The objective of this study is to shed light on what the literature on English Language Teaching(ELT)job advertisements reveals about the ELT profession.For this aim,the existing nine articles are chosen as the focal literature and content-analyzed.The results point to some facts about ELT:the native speakerism ideology persists in ELT job advertisements;it includes multifaceted discrimination against both non-native and non-Anglophone native English speaker teachers(NESTs);cost-effective strategies are utilized by recruiters to hire young NESTs;different marketing strategies are employed to attract NESTs and to earn the prestige associated with hiring them;and advertising discourse is a way to institutionalization and entrenchment of discrimination.The fallacies explored also concern ELT as an adventure full of travel and pleasure,the dominance of supply-demand and preference principles,viewing NESTs as ideal teachers who promise fun and effortless language learning;and the fallacy that native status compensates for the lack of qualification and experience.Each fact and fallacy is problematized and ways to combat discrimination are suggested.Also,implications of the study for various stakeholders in the ELT circle including the NESTs,NNESTs,and recruiting agencies are discussed.展开更多
Information about whether genetic information requires special treatment in law varies around the world and many aspects are not clear.In this study,we draw upon knowledge gained from various disciplines,such as genet...Information about whether genetic information requires special treatment in law varies around the world and many aspects are not clear.In this study,we draw upon knowledge gained from various disciplines,such as genetics,medicine,law,philosophy,psychology,sociology,anthropology,insurance,and economics,which have all contributed to the study of genetic information,and discrimination based on genetic traits.With this in mind,we are able to set this research study into perspective.We make no claim on behalf of any field of study.Nevertheless,we say the development in the field of genetics is in its infancy and that knowledge of an individual genome would be essential not only for counseling but could also be used for stigmatization and discrimination.The purpose of the study is to help provide useful links concerning legal and ethical issues in human genetics and particularly where it deals with the laws,regulations,and policies concerning genetic information.We deal with the legal and ethical aspects in human genetics that influence genetic information.We examine government policies and the existing legislation in Papua New Guinea(PNG)that deal with genetic information and analyze discrimination cases due to genetic traits and describe its magnitude in PNG.This study places importance on the examination of qualitative data collected by a questionnaire survey from individual subjects representing various organizations in PNG including Department of Health,Insurance companies,General Federation of Employers’Associations,Trade Unions,and professional workers such as lawyers,District Court magistrates,medical doctors,healthcare workers,students,and private individuals.The study was conducted in towns in PNG although the majority of the participants live in the National Capital District.A sample of individuals(patients)were enrolled in a cross-sectional questionnaire survey.Individual information was obtained to describe the situation of the area.However,this study did not use administrative records based on health information from the Department of Health which describes the prevalence of genetically disordered individuals.All selected individuals or subjects were interviewed or completed a questionnaire.The data were assessed to characterize the study subsets.The findings of this study are made available to clinical practice in law,medical and public health,and private and public institutions including insurance companies,employers’federation,mining companies,and workers’unions in PNG,and academics and researchers.Educational programs on the basic principles of genetics,ethics,and law in relation to insurance will have to be developed to improve the knowledge of insurance,medical,and the cost of long-term care.展开更多
Background Three-dimensional(3D)shape representation using mesh data is essential in various applications,such as virtual reality and simulation technologies.Current methods for extracting features from mesh edges or ...Background Three-dimensional(3D)shape representation using mesh data is essential in various applications,such as virtual reality and simulation technologies.Current methods for extracting features from mesh edges or faces struggle with complex 3D models because edge-based approaches miss global contexts and face-based methods overlook variations in adjacent areas,which affects the overall precision.To address these issues,we propose the Feature Discrimination and Context Propagation Network(FDCPNet),which is a novel approach that synergistically integrates local and global features in mesh datasets.Methods FDCPNet is composed of two modules:(1)the Feature Discrimination Module,which employs an attention mechanism to enhance the identification of key local features,and(2)the Context Propagation Module,which enriches key local features by integrating global contextual information,thereby facilitating a more detailed and comprehensive representation of crucial areas within the mesh model.Results Experiments on popular datasets validated the effectiveness of FDCPNet,showing an improvement in the classification accuracy over the baseline MeshNet.Furthermore,even with reduced mesh face numbers and limited training data,FDCPNet achieved promising results,demonstrating its robustness in scenarios of variable complexity.展开更多
Mineral identification and discrimination play a significant role in geological study.Intelligent mineral discrimination based on deep learning has the advantages of automation,low cost,less time consuming and low err...Mineral identification and discrimination play a significant role in geological study.Intelligent mineral discrimination based on deep learning has the advantages of automation,low cost,less time consuming and low error rate.In this article,characteristics of quartz,biotite and Kfeldspar from granite thin sections under cross-polarized light were studied for mineral images intelligent classification by Inception-v3 deep learning convolutional neural network(CNN),and transfer learning method.Dynamic images from multi-angles were employed to enhance the accuracy and reproducibility in the process of mineral discrimination.Test results show that the average discrimination accuracies of quartz,biotite and K-feldspar are 100.00%,96.88%and 90.63%.Results of this study prove the feasibility and reliability of the application of convolution neural network in mineral images classification.This study could have a significant impact in explorations of complicated mineral intelligent discrimination using deep learning methods and it will provide a new perspective for the development of more professional and practical mineral intelligent discrimination tools.展开更多
文摘Cataracts are the leading cause of blindness worldwide. Current methods for discriminating cataractous lenses from healthy lenses of Sprague-Dawley rats during preclinical studies are based on either histopathological or clinical assessments which are weakened by subjectivity. In this work, both cataractous and healthy lens tissues of Sprague-Dawley rats were studied using multispectral imaging technique in combination with multivariate analysis. Multispectral images were captured in transmission, reflection and scattering modes. In all, five spectral bands were found to be markers for discriminating cataractous lenses from healthy lenses;470 nm and 625 nm discriminated in reflection mode whereas 435 nm, 590 nm and 700 nm discriminated in transmission mode. With Fisher’s Linear discriminant analysis, the midpoints for classifying cataractous from healthy lenses were found to be 14.718 × 10−14 and 3.2374 × 10−14 for the two spectra bands in the reflection mode and the three spectral bands in the transmission mode respectively. Images in scattering mode did not show significant discrimination. These spectral bands in reflection and transmission modes may offer potential diagnostic markers for discriminating cataractous lenses from healthy lenses thereby promising multispectral imaging applications for characterizing cataractous and healthy lenses.
基金supported by the National Natural Science Foundation of China(No.22276139)the Shanghai’s Municipal State-owned Assets Supervision and Administration Commission(No.2022028).
文摘To better understand the migration behavior of plastic fragments in the environment,development of rapid non-destructive methods for in-situ identification and characterization of plastic fragments is necessary.However,most of the studies had focused only on colored plastic fragments,ignoring colorless plastic fragments and the effects of different environmental media(backgrounds),thus underestimating their abundance.To address this issue,the present study used near-infrared spectroscopy to compare the identification of colored and colorless plastic fragments based on partial least squares-discriminant analysis(PLS-DA),extreme gradient boost,support vector machine and random forest classifier.The effects of polymer color,type,thickness,and background on the plastic fragments classification were evaluated.PLS-DA presented the best and most stable outcome,with higher robustness and lower misclassification rate.All models frequently misinterpreted colorless plastic fragments and its background when the fragment thickness was less than 0.1mm.A two-stage modeling method,which first distinguishes the plastic types and then identifies colorless plastic fragments that had been misclassified as background,was proposed.The method presented an accuracy higher than 99%in different backgrounds.In summary,this study developed a novel method for rapid and synchronous identification of colored and colorless plastic fragments under complex environmental backgrounds.
基金supported by National Key R&D Program of China(2022YFD2000100)National Natural Science Foundation of China(42401400)Zhejiang Provincial Key Research and Development Program(2023C02018).
文摘Yellow rust(Puccinia striiformis f.sp.Tritici,YR)and fusarium head blight(Fusarium graminearum,FHB)are the two main diseases affecting wheat in the main grain-producing areas of East China,which is common for the two diseases to appear simultaneously in some main production areas.It is necessary to discriminate wheat YR and FHB at the regional scale to accurately locate the disease in space,conduct detailed disease severity monitoring,and scientific control.Four images on different dates were acquired from Sentinel-2,Landsat-8,and Gaofen-1 during the critical period of winter wheat,and 22 remote sensing features that characterize the wheat growth status were then calculated.Meanwhile,6 meteorological parameters that reflect the wheat phenological information were also obtained by combining the site meteorological data and spatial interpolation technology.Then,the principal components(PCs)of comprehensive remote sensing and meteorological features were extracted with principal component analysis(PCA).The PCs-based discrimination models were established to map YR and FHB damage using the random forest(RF)and backpropagation neural network(BPNN).The models’performance was verified based on the disease field truth data(57 plots during the filling period)and 5-fold cross-validation.The results revealed that the PCs obtained after PCA dimensionality reduction outperformed the initial features(IFs)from remote sensing and meteorology in discriminating between the two diseases.Compared to the IFs,the average area under the curve for both micro-average and macro-average ROC curves increased by 0.07 in the PCs-based RF models and increased by 0.16 and 0.13,respectively,in the PCs-based BPNN models.Notably,the PCs-based BPNN discrimination model emerged as the most effective,achieving an overall accuracy of 83.9%.Our proposed discrimination model for wheat YR and FHB,coupled with multi-source remote sensing images and meteorological data,overcomes the limitations of a single-sensor and single-phase remote sensing information in multiple stress discrimination in cloudy and rainy areas.It performs well in revealing the damage spatial distribution of the two diseases at a regional scale,providing a basis for detailed disease severity monitoring,and scientific prevention and control.
基金partially supported by MICIU MCIN/AEI/10.13039/501100011033Spain with grant PID2020-118265GB-C42,-C44,PRTR-C17.I01+1 种基金Generalitat Valenciana,Spain with grant CIPROM/2022/54,ASFAE/2022/031,CIAPOS/2021/114the EU NextGenerationEU,ESF funds,and the National Science Centre (NCN),Poland (grant No.2020/39/D/ST2/00466)
文摘Pulse pile-up is a problem in nuclear spectroscopy and nuclear reaction studies that occurs when two pulses overlap and distort each other,degrading the quality of energy and timing information.Different methods have been used for pile-up rejection,both digital and analogue,but some pile-up events may contain pulses of interest and need to be reconstructed.The paper proposes a new method for reconstructing pile-up events acquired with a neutron detector array(NEDA)using an one-dimensional convolutional autoencoder(1D-CAE).The datasets for training and testing the 1D-CAE are created from data acquired from the NEDA.The new pile-up signal reconstruction method is evaluated from the point of view of how similar the reconstructed signals are to the original ones.Furthermore,it is analysed considering the result of the neutron-gamma discrimination based on charge comparison,comparing the result obtained from original and reconstructed signals.
文摘INTRODUCTION Reports indicating that culturally and linguistically diverse(CALD)people-often with migrant backgrounds-in Australia and New Zealand are more likely to be placed in compulsory community treatment(CCT)have rightlyraised concernsthat such action might be discriminatory.
文摘Measuring the impact of AI systems The recent 2025 AI Index Report from Stanford University revealed that skepticism about the ethical conduct of AI companies is growing,and trust in fairness is shrinking.There is also less confidence that personal data will be protected and fewer people believe AI systems are unbiased and free of discrimination.Trust and transparency are essential for AI to deliver on its promises in a safe and responsible way.Governments are stepping up with new AI-related regulations,and international standards such as ISO/IEC 42001 have been developed to support them,but a lot more needs to be done to reduce potential risks and address societal concerns.
基金P.D.and P.S.A.received Ph.D.scholarships from Coordenação de Aperfeiçoamento de Pessoal de Nível Superior(CAPES)(Finance Code 001)P.D.received a Postdoctoral fellowship from CAPES(grant number:88887.469218/2019-00)+4 种基金R.H.M.received a fellowship from Conselho Nacional de Desenvolvimento Científco e Tecnológico(CNPq)for the duration of the study.Funding was also provided by Animal Behavior Society[ABS Student Research Grant to P.S.A.]Association of Field Ornithologists[E.Alexander Bergstrom Memorial Research Award to P.S.A.]American Ornithological Society[Postdoctoral Research Award to P.D.]the logistic and fnancial support provided by Programa de Pós-Graduação em Ecologia from Universidade de Brasília in association with Programa de Excelência Acadêmica PROEX/CAPES(1789/2015)the fnancial support provided by CNPq(471945/2013-7).
文摘Vocal individuality is essential for social discrimination but has been poorly studied in animals that produce communal signals(duets or choruses).Song overlapping and temporal coordination make the assessment of individuality in communal signals more complex.In addition,selection may favor the accurate identifcation of pairs over individuals by receivers in year-round territorial species with duetting and long-term pair bonding.Here,we studied pair and individual vocal signatures in the polyphonal duets of rufous horneros Furnarius rufus,a Neotropical bird known for its long-term pair bonds.Hornero partners engage in duets to deter territorial intruders and protect their partnership year-round and can discern duets from neighbors versus strangers.Using a dataset of 471 duets from 43 pairs in 2 populations,we measured fne-scale acoustic features across different duet levels(e.g.,complete duets to non-overlapping syllable parts)and analysis levels(pair or individual).Permuted linear discriminant function analyses classifed pairs and individuals more accurately than expected by chance(means:45%and 47%vs.4 and 2%).Pair identity explained more variance in the multivariate acoustic features of duets than individual or population identities.The initial frequency of the duet showed strong potential for encoding pair identity.The acoustic traits contributing most to individual vocal signatures varied between sexes,which might facilitate the simultaneous assessment of duetters’identities by receivers.Our study indicates that vocal individuality may exist even in species with intricate and innate communal signals and elucidates the mechanisms employed by horneros in their social discrimination ability.
基金supported by the National Natural Science Foundation of China(No.12027813)the fund of National Innovation Center of Radiation Application of China(Nos.KFZC2020020501,KFZC2021010101).
文摘Polymethyl methacrylate(PMMA)is an optically transparent thermoplastic with favorable processing conditions.In this study,a series of plastic scintillators are prepared via thermal polymerization,and the impact of PMMA content on their transparency and pulse shape discrimination(PSD)ability is investigated.The fabricated samples,comprising a polystyrene(PS)-PMMA matrix,30.0 wt%2,5-diphenyloxazole(PPO),and 0.2 wt%9,10-diphenylanthracene(DPA),exhibit high transparency with transmissivity ranging from 70.0 to 90.0%(above 415.0 nm)and demonstrate excellent n/γdiscrimination capability.Transparency increased with increasing PMMA content across the entire visible light spectrum.However,the PSD performance gradually deteriorated when the aromatic matrix was replaced with PMMA.The scintillator containing 20.0 wt%PMMA demonstrated the best stability concerning PSD properties and relative light yields.
文摘HIV-related stigma,discrimination,and other forms of oppression can severely undermine adherence to antiretroviral therapy(ART)among people living with HIV[1].For example,Kerr et al.reveal that perceived discrimination based on sexual orientation in healthcare settings significantly reduces ART adherence[1].This highlights the urgent need for targeted strategies to address stigma,discrimination,and social marginalization,especially within healthcare facilities,to improve HIV care outcomes.
基金supported by the Joint Funds for Innovation of Science and Technology,Fujian Province(2021Y9037)a National Clinical Key Special Subject of China(21281003).
文摘Previous studies have found associations between color discrimination deficits and cognitive impairments besides aging.However,investigations into the microstructural pathology of brain white matter(WM)associated with these deficits remain limited.This study aimed to examine the microstructural characteristics of WM in the non-demented population with abnormal color discrimination,utilizing Neurite Orientation Dispersion and Density Imaging(NODDI),and to explore their correlations with cognitive functions and cognition-related plasma biomarkers.The tract-based spatial statistic analysis revealed significant differences in specific brain regions between the abnormal color discrimination group and the healthy controls,characterized by increased isotropic volume fraction and decreased neurite density index and orientation dispersion index.Further analysis of region-of-interest parameters revealed that the isotropic volume fraction in the bilateral anterior thalamic radiation,superior longitudinal fasciculus,cingulum,and forceps minor was significantly correlated with poorer performance on neuropsychological assessments and to varying degrees various cognition-related plasma biomarkers.These findings provide neuroimaging evidence that WM microstructural abnormalities in non-demented individuals with abnormal color discrimination are associated with cognitive dysfunction,potentially serving as early markers for cognitive decline.
文摘Dear Editor,Infertility refers to the inability to conceive after one year of regular unprotected intercourse,and as per the available estimates,close to 50 million couples are being affected worldwide[1].In many communities,infertility is regarded as a sign of personal failure,where individuals are blamed for their inability to conceive[2].It is not an unusual practice that people with infertility are excluded from social rituals like baby showers or functions related to parenthood[2].Women are generally considered solely responsible for the condition,while in reality,it can equally affect men[2].On the other hand,men experiencing infertility are subjected to mockery for a reduced sense of masculinity[3].In many communities and cultures,infertility is viewed as a genuine reason for relationship strain and eventually divorce[2].Amid the fear that people will judge them,many couples hide their infertility struggles,and this further plays an important role in increasing stigma[2,3].Further,in some organizations,employers might not consider infertile persons for promotion under the assumption that they do not have many financial responsibilities[3].
基金the financial support of the National Natural Science Foundation of China(No.22168009)。
文摘Highly toxic phosgene,diethyl chlorophosphate(DCP)and volatile acyl chlorides endanger our life and public security.To achieve facile sensing and discrimination of multiple target analytes,herein,we presented a single fluorescent probe(BDP-CHD)for high-throughput screening of phosgene,DCP and volatile acyl chlorides.The probe underwent a covalent cascade reaction with phosgene to form boron dipyrromethene(BODIPY)with bright green fluorescence.By contrast,DCP,diphosgene and acyl chlorides can covalently assembled with the probe,giving rise to strong blue fluorescence.The probe has demonstrated high-throughput detection capability,high sensitivity,fast response(within 3 s)and parts per trillion(ppt)level detection limit.Furthermore,a portable platform based on BDP-CHD was constructed,which has achieved high-throughput discrimination of 16 analytes through linear discriminant analysis(LDA).Moreover,a smartphone adaptable RGB recognition pattern was established for the quantitative detection of multi-analytes.Therefore,this portable fluorescence sensing platform can serve as a versatile tool for rapid and high-throughput detection of toxic phosgene,DCP and volatile acyl chlorides.The proposed“one for more”strategy simplifies multi-target discrimination procedures and holds great promise for various sensing applications.
基金supported by MICIU MCIN/AEI/10.13039/501100011033Spain with Grant PID2020-118265GB-C42,-C44,PRTR-C17.I01Generalitat Valenciana,Spain with Grant CIPROM/2022/54,ASFAE/2022/031,CIAPOS/2021/114 and by the EU NextGenerationEU,ESF funds.This work was also supported by the National Science Centre(NCN),Poland(Grant No.2020/39/D/ST2/00466).
文摘The NEutron Detector Array(NEDA)is designed to be coupled to gamma-ray spectrometers to enhance the sensitivity of the setup by enabling reaction channel selection through counting of the evaporated neutrons.This article presents the implementation of a double trigger condition system for NEDA,which improves the acquisition of neutrons and reduces the number of gamma rays acquired.Two independent triggers are generated in the double trigger condition system:one based on charge comparison(CC)and the other on time-of-flight(TOF).These triggers can be combined using OR and AND logic,offering four distinct trigger modes.The developed firmware is added to the previous one in the Virtex 6 field programmable gate array(FPGA)present in the system,which also includes signal processing,baseline correction,and various trigger logic blocks.The performance of the trigger system is evaluated using data from the E703 experiment performed at GANIL.The four trigger modes are applied to the same data,and a subsequent offline analysis is performed.It is shown that most of the detected neutrons are preserved with the AND mode,and the total number of gamma rays is significantly reduced.Compared with the CC trigger mode,the OR trigger mode allows increasing the selection of neutrons.In addition,it is demonstrated that if the OR mode is selected,the online CC trigger threshold can be raised without losing neutrons.
文摘BACKGROUND The EuroSCORE II is a globally accepted tool for predicting mortality in patients undergoing cardiac surgery.However,the discriminative ability of this tool in non-European populations may be inadequate,limiting its use in other regions.AIM To evaluate the performance of EuroSCORE II in patients undergoing coronary artery bypass graft(CABG)surgery at a hospital in Bogotá,Colombia.METHODS An observational,analytical study of a retrospective cohort was designed.All patients admitted to Hospital Universitario Mayor Méderi who underwent CABG between December 2015 and May 2020 were included.In-hospital mortality was the primary outcome evaluated.Furthermore,the performance of EuroSCORE II was assessed in this population.RESULTS A total of 1009 patients were included[median age 66 years IQR=59-72,78.2%men].The overall in-hospital mortality was 5.5%(n=56).The median mortality predicted using EuroSCORE II was 1.29(IQR=0.92-2.11).Non-ST-segment elevation myocardial infarction was the most common preoperative diagnosis(54.1%),followed by ST-segment elevation myocardial infarction(19.1%)and unstable angina(14.3%).Urgent surgery was performed in 87.3%of the patients(n=881).Mortality rates in each group were as follows:Low risk 6.0%(n=45,observed-to-expected(O/E)ratio,5.6),moderate risk 3.0%(n=5,O/E ratio 1.17),high risk 5.0%(n=4,O/E ratio 0.94),and very high risk 7.6%(n=2,O/E ratio 0.71).The overall O/E ratio was 4.2.The area under the curve of EuroSCORE II was 0.55[95%confidence interval:0.48-0.63]CONCLUSION EuroSCORE II exhibited poor performance in this population owing to its low discriminative ability.This finding may be explained by the fact that the population comprised older individuals with higher ventricular function impairment.Moreover,unlike the population in which this tool was originally developed,most patients were not electively admitted for the surgery.
文摘The objective of this study is to shed light on what the literature on English Language Teaching(ELT)job advertisements reveals about the ELT profession.For this aim,the existing nine articles are chosen as the focal literature and content-analyzed.The results point to some facts about ELT:the native speakerism ideology persists in ELT job advertisements;it includes multifaceted discrimination against both non-native and non-Anglophone native English speaker teachers(NESTs);cost-effective strategies are utilized by recruiters to hire young NESTs;different marketing strategies are employed to attract NESTs and to earn the prestige associated with hiring them;and advertising discourse is a way to institutionalization and entrenchment of discrimination.The fallacies explored also concern ELT as an adventure full of travel and pleasure,the dominance of supply-demand and preference principles,viewing NESTs as ideal teachers who promise fun and effortless language learning;and the fallacy that native status compensates for the lack of qualification and experience.Each fact and fallacy is problematized and ways to combat discrimination are suggested.Also,implications of the study for various stakeholders in the ELT circle including the NESTs,NNESTs,and recruiting agencies are discussed.
文摘Information about whether genetic information requires special treatment in law varies around the world and many aspects are not clear.In this study,we draw upon knowledge gained from various disciplines,such as genetics,medicine,law,philosophy,psychology,sociology,anthropology,insurance,and economics,which have all contributed to the study of genetic information,and discrimination based on genetic traits.With this in mind,we are able to set this research study into perspective.We make no claim on behalf of any field of study.Nevertheless,we say the development in the field of genetics is in its infancy and that knowledge of an individual genome would be essential not only for counseling but could also be used for stigmatization and discrimination.The purpose of the study is to help provide useful links concerning legal and ethical issues in human genetics and particularly where it deals with the laws,regulations,and policies concerning genetic information.We deal with the legal and ethical aspects in human genetics that influence genetic information.We examine government policies and the existing legislation in Papua New Guinea(PNG)that deal with genetic information and analyze discrimination cases due to genetic traits and describe its magnitude in PNG.This study places importance on the examination of qualitative data collected by a questionnaire survey from individual subjects representing various organizations in PNG including Department of Health,Insurance companies,General Federation of Employers’Associations,Trade Unions,and professional workers such as lawyers,District Court magistrates,medical doctors,healthcare workers,students,and private individuals.The study was conducted in towns in PNG although the majority of the participants live in the National Capital District.A sample of individuals(patients)were enrolled in a cross-sectional questionnaire survey.Individual information was obtained to describe the situation of the area.However,this study did not use administrative records based on health information from the Department of Health which describes the prevalence of genetically disordered individuals.All selected individuals or subjects were interviewed or completed a questionnaire.The data were assessed to characterize the study subsets.The findings of this study are made available to clinical practice in law,medical and public health,and private and public institutions including insurance companies,employers’federation,mining companies,and workers’unions in PNG,and academics and researchers.Educational programs on the basic principles of genetics,ethics,and law in relation to insurance will have to be developed to improve the knowledge of insurance,medical,and the cost of long-term care.
基金Supported by the National Key R&D Program of China(2022YFC3803600).
文摘Background Three-dimensional(3D)shape representation using mesh data is essential in various applications,such as virtual reality and simulation technologies.Current methods for extracting features from mesh edges or faces struggle with complex 3D models because edge-based approaches miss global contexts and face-based methods overlook variations in adjacent areas,which affects the overall precision.To address these issues,we propose the Feature Discrimination and Context Propagation Network(FDCPNet),which is a novel approach that synergistically integrates local and global features in mesh datasets.Methods FDCPNet is composed of two modules:(1)the Feature Discrimination Module,which employs an attention mechanism to enhance the identification of key local features,and(2)the Context Propagation Module,which enriches key local features by integrating global contextual information,thereby facilitating a more detailed and comprehensive representation of crucial areas within the mesh model.Results Experiments on popular datasets validated the effectiveness of FDCPNet,showing an improvement in the classification accuracy over the baseline MeshNet.Furthermore,even with reduced mesh face numbers and limited training data,FDCPNet achieved promising results,demonstrating its robustness in scenarios of variable complexity.
基金funded by the National Natural Science Foundation of China(Nos.41672082,42030809)。
文摘Mineral identification and discrimination play a significant role in geological study.Intelligent mineral discrimination based on deep learning has the advantages of automation,low cost,less time consuming and low error rate.In this article,characteristics of quartz,biotite and Kfeldspar from granite thin sections under cross-polarized light were studied for mineral images intelligent classification by Inception-v3 deep learning convolutional neural network(CNN),and transfer learning method.Dynamic images from multi-angles were employed to enhance the accuracy and reproducibility in the process of mineral discrimination.Test results show that the average discrimination accuracies of quartz,biotite and K-feldspar are 100.00%,96.88%and 90.63%.Results of this study prove the feasibility and reliability of the application of convolution neural network in mineral images classification.This study could have a significant impact in explorations of complicated mineral intelligent discrimination using deep learning methods and it will provide a new perspective for the development of more professional and practical mineral intelligent discrimination tools.
