Developmental and reproductive toxicity(DART)endpoint entails a toxicological assessment of all developmental stages and reproductive cycles of an organism.In silico tools to predict DART will provide a method to asse...Developmental and reproductive toxicity(DART)endpoint entails a toxicological assessment of all developmental stages and reproductive cycles of an organism.In silico tools to predict DART will provide a method to assess this complex toxicity endpoint and will be valuable for screening emerging pollutants as well as for m anaging new chemicals in China.Currently,there are few published DART prediction models in China,but many related research and development projects are in progress.In 2013,WU et al.published an expert rule-based DART decision tree(DT).This DT relies on known chemical structures linked to DART to forecast DART potential of a given chemical.Within this procedure,an accurate DART data interpretation is the foundation of building and expanding the DT.This paper excerpted case studies demonstrating DART data curation and interpretation of four chemicals(including 8-hydroxyquinoline,3,5,6-trichloro-2-pyridinol,thiacloprid,and imidacloprid)to expand the existing DART DT.Chemicals were first selected from the database of Solid Waste and Chemicals Management Center,Ministry of Ecology and Environment(MEESCC)in China.The structures of these 4 chemicals were analyzed and preliminarily grouped by chemists based on core structural features,functional groups,receptor binding property,metabolism,and possible mode of actions.Then,the DART conclusion was derived by collecting chemical information,searching,integrating,and interpreting DART data by the toxicologists.Finally,these chemicals were classified into either an existing category or a new category via integrating their chemical features,DART conclusions,and biological properties.The results showed that 8-hydroxyquinoline impacted estrous cyclicity,s exual organ weights,and embryonal development,and 3,5,6-trichloro-2-pyridinol caused central nervous system(CNS)malformations,which were added to an existing subcategory 8e(aromatic compounds with multi-halogen and nitro groups)of the DT.Thiacloprid caused dystocia and fetal skeletal malformation,and imidacloprid disrupted the endocrine system and male fertility.They both contain 2-chloro-5-methylpyridine substituted imidazolidine c yclic ring,which were expected to create a new category of neonicotinoids.The current work delineates a t ransparent process of curating toxicological data for the purpose of DART data interpretation.In the presence of sufficient related structures and DART data,the DT can be expanded by iteratively adding chemicals within the a pplicable domain of each category or subcategory.This DT can potentially serve as a tool for screening emerging pollutants and assessing new chemicals in China.展开更多
Perhaps the greatest compliment that an attending surgeon can bestow on a resident in training,is to comment,“He/she has good hands.”However,what defines good hands?What parameters are used to make that judgment?As ...Perhaps the greatest compliment that an attending surgeon can bestow on a resident in training,is to comment,“He/she has good hands.”However,what defines good hands?What parameters are used to make that judgment?As an academic urologist,I had the opportunity to observe urology and general surgery residents in the operating room over several decades.展开更多
In this study,terrestrial laser scanning(TLS)is used to collect building data after the M_(s) 7.0 magnitude earthquake in Lushan,Sichuan,China in 2013 for analysis and research.The analysis focuses on extracting the t...In this study,terrestrial laser scanning(TLS)is used to collect building data after the M_(s) 7.0 magnitude earthquake in Lushan,Sichuan,China in 2013 for analysis and research.The analysis focuses on extracting the tilt and deformation of masonry buildings that are difficult to identify through visual inspection in basically intact,slightly damaged and moderately damaged masonry buildings,to solve the problem of ambiguous identification of damage.A quantitative analysis of the determination indexes of the degree of earthquake damage was carried out,and the numerical characteristics parameters such as the curvature of the wall point cloud proximity,angle,contour of the fitted plane of the point cloud,verticality(flatness)of the wall,standard deviation of the profile and angle of the profile were established to determine the degree of earthquake damage to buildings based on LiDAR data.The development of quantitative determination indexes for the degree of earthquake damage of buildings in this study has important application value for LiDAR data in the identification and extraction of earthquake damage information and damage level determination.展开更多
Advancements in Natural Language Processing and Deep Learning techniques have significantly pro-pelled the automation of Legal Judgment Prediction,achieving remarkable progress in legal research.Most of the existing r...Advancements in Natural Language Processing and Deep Learning techniques have significantly pro-pelled the automation of Legal Judgment Prediction,achieving remarkable progress in legal research.Most of the existing research works on Legal Judgment Prediction(LJP)use traditional optimization algorithms in deep learning techniques falling into local optimization.This research article focuses on using the modified Pelican Optimization method which mimics the collective behavior of Pelicans in the exploration and exploitation phase during cooperative food searching.Typically,the selection of search agents within a boundary is done randomly,which increases the time required to achieve global optimization.To address this,the proposed Chaotic Opposition Learning-based Pelican Optimization(COLPO)method incorporates the concept of Opposition-Based Learning combined with a chaotic cubic function,enabling deterministic selection of random numbers and reducing the number of iterations needed to reach global optimization.Also,the LJP approach in this work uses improved semantic similarity and entropy features to train a hybrid classifier combining Bi-GRU and Deep Maxout.The output scores are fused using improved score level fusion to boost prediction accuracy.The proposed COLPO method experiments with real-time Madras High Court criminal cases(Dataset 1)and the Supreme Court of India database(Dataset 2),and its performance is compared with nature-inspired algorithms such as Sparrow Search Algorithm(SSA),COOT,Spider Monkey Optimization(SMO),Pelican Optimization Algorithm(POA),as well as baseline classifier models and transformer neural networks.The results show that the proposed hybrid classifier with COLPO outperforms other cutting-edge LJP algorithms achieving 93.4%and 94.24%accuracy,respectively.展开更多
研究发现,人们的道德判断会随季节而变化,而这一现象可能与人们的焦虑水平有关。1 As leaves fall,snow sweeps in or flowers come out,humans change in measurable ways,too.Research suggests a range of psychological phenomena,s...研究发现,人们的道德判断会随季节而变化,而这一现象可能与人们的焦虑水平有关。1 As leaves fall,snow sweeps in or flowers come out,humans change in measurable ways,too.Research suggests a range of psychological phenomena,such as our emotional state,diet and exercise habits,vary throughout the year.Now a new study demonstrates how moral values can also shift with the seasons.展开更多
This study examines how generative artificial intelligence(AI)reshapes creative identity in design education.Drawing on post-humanist and network-based theories,it frames AI as a cognitive collaborator in ideation and...This study examines how generative artificial intelligence(AI)reshapes creative identity in design education.Drawing on post-humanist and network-based theories,it frames AI as a cognitive collaborator in ideation and authorship.Mixed-methods data reveal student anxiety and stylistic confusion,contrasted with designers’adaptive strategies.The AI–Cognition–Identity framework supports curricula that promote reflective,ethical,and epistemically informed AI-integrated pedagogy.展开更多
Carbon fiber reinforced polymer(CFRP)are widely used in various fields because of their high strength,good toughness,and low density.However,owing to their unique forming process,some complex structures such as holes ...Carbon fiber reinforced polymer(CFRP)are widely used in various fields because of their high strength,good toughness,and low density.However,owing to their unique forming process,some complex structures such as holes and grooves cannot be formed directly.Therefore,traditional machining procedures are also required.The drilling process is one of the most common machining methods for CFRP holes,but owing to the complex structure and difficulty in processing CFRP,the quality of the drilling process is often challenging to guarantee.Moreover,the hole-forming defects also have complex forms and lack uniform evaluation indexes.This study summarizes the common orifice defects in the process of CFRP drilling,establishes a comprehensive evaluation method of orifice defects by introducing the relevant theory of the fuzzy complementary judgment matrix,and experimentally verifies the accuracy and reliability of this method.Then,based on the experimental results,a non-linear cutting parameter optimization model is established,which effectively suppresses the orifice defects to ensure the accuracy of the hole size,roundness,and hole wall roughness.The hole-forming quality is subsequently improved.The hole quality evaluation method proposed in this study reduced the dimension of the evaluation index to ensure relevance and effectiveness and improved the convenience of quality inspection and parameter optimization in actual production.展开更多
This work elaborates a fast and robust structural health monitoring scheme for copying with aircraft structural fatigue.The type of noise in structural strain signals is determined by using a statistical analysis meth...This work elaborates a fast and robust structural health monitoring scheme for copying with aircraft structural fatigue.The type of noise in structural strain signals is determined by using a statistical analysis method,which can be regarded as a mixture of Gaussian-like(tiny hairy signals)and impulse-like noise(single signals with anomalous movements in peak and valley areas).Based on this,a least squares filtering method is employed to preprocess strain signals.To precisely eliminate noise or outliers in strain signals,we propose a novel variational model to generate step signals instead of strain ones.Expert judgments are employed to classify the generated signals.Based on the classification labels,whether the aircraft is structurally healthy is accurately judged.By taking the generated step count vectors and labels as an input,a discriminative neural network is proposed to realize automatic signal discrimination.The network output means whether the aircraft structure is healthy or not.Experimental results demonstrate that the proposed scheme is effective and efficient,as well as achieves more satisfactory results than other peers.展开更多
Light-field fluorescence microscopy(LFM)is a powerful elegant compact method for long-term highspeed imaging of complex biological systems,such as neuron activities and rapid movements of organelles.LFM experiments ty...Light-field fluorescence microscopy(LFM)is a powerful elegant compact method for long-term highspeed imaging of complex biological systems,such as neuron activities and rapid movements of organelles.LFM experiments typically generate terabytes of image data and require a substantial amount of storage space.Some lossy compression algorithms have been proposed recently with good compression performance.However,since the specimen usually only tolerates low-power density illumination for longterm imaging with low phototoxicity,the image signal-to-noise ratio(SNR)is relatively low,which will cause the loss of some efficient position or intensity information using such lossy compression algorithms.Here,we propose a phase-space continuity-enhanced bzip2(PC-bzip2)lossless compression method for LFM data as a high-efficiency and open-source tool that combines graphics processing unit-based fast entropy judgment and multicore-CPU-based high-speed lossless compression.Our proposed method achieves almost 10%compression ratio improvement while keeping the capability of high-speed compression,compared with the original bzip2.We evaluated our method on fluorescence beads data and fluorescence staining cells data with different SNRs.Moreover,by introducing temporal continuity,our method shows the superior compression ratio on time series data of zebrafish blood vessels.展开更多
A Dream of Red Mansions is an ancient Chinese chapter-length fictional novel and the first of the Four Great Classical Novels of China. The judgments of the major characters within the book have been studied by many e...A Dream of Red Mansions is an ancient Chinese chapter-length fictional novel and the first of the Four Great Classical Novels of China. The judgments of the major characters within the book have been studied by many experts. The purpose of this paper is to analyse the translation strategies and their effects adopted by different translators for distinct translation purposes by comparing varied translations of the judgments and some of the allusions within them in the two English translations, Yang Xianyi and Hawkes.展开更多
In order to guarantee the safety service and life-span of long-span cable-stayed bridges, the uncertain type of analytic hierarchy process （AHP） method is adopted to access the bridge condition. The correlative theo...In order to guarantee the safety service and life-span of long-span cable-stayed bridges, the uncertain type of analytic hierarchy process （AHP） method is adopted to access the bridge condition. The correlative theory and applied objects of uncertain type of AHP are introduced, and then the optimal transitive matrix method is chosen to calculate the interval number judgment matrix, which makes the weights of indices more reliable and accurate. Finally, with Harbin Songhua River Cable-Stayed Bridge as an example, an index system and an assessment model are proposed for the condition assessment of this bridge, and by using uncertain type of AHP, the weights of assessment indices are fixed and the final assessment results of the bridge are calculated, which proves the feasibility and practicability of this method. The application of this assessment method can provide the scientific basis for maintenance and management of long-span cable-stayed bridges.展开更多
Proper fixture design is crucial to obtain the better product quality according to the design specification during the workpiece fabrication. Locator layout planning is one of the most important tasks in the fixture ...Proper fixture design is crucial to obtain the better product quality according to the design specification during the workpiece fabrication. Locator layout planning is one of the most important tasks in the fixture design process. However, the design of a fixture relies heavily on the designerts expertise and experience up to now. Therefore, a new approach to loeator layout determination for workpieces with arbitrary complex surfaces is pro- posed for the first time. Firstly, based on the fuzzy judgment method, the proper locating reference and locator - numbers are determined with consideration of surface type, surface area and position tolerance. Secondly, the lo- cator positions are optimized by genetic algorithm（GA）. Finally, a typical example shows that the approach is su- perior to the experiential method and can improve positioning accuracy effectively.展开更多
Towns＇ and cities＇ stories show their multidisciplinary richness and their complexity between professional skills and ways of life and residence of inhabitants by the analysis of the towns＇ changes. Through two pro...Towns＇ and cities＇ stories show their multidisciplinary richness and their complexity between professional skills and ways of life and residence of inhabitants by the analysis of the towns＇ changes. Through two protocols of research, during ten years from 2003 to 2012 and so on, of metropolitan changes in Bordeaux and travels in French and European cities, Christian Sallenave shows that： When everyone can write, tell and recognize his own story of town＇s changes, the cities know the best conditions for their sustainable development; Neither particular, nor general, but both in their specific dialectic; Neither panoptical and sovereign disciplines nor judgmental dopes, but both in their coming and goings and their ＂patriotic＂ property and register. The towns＇ stories are always written and marked in the same time in plural and singular, of arts, sciences and knowledge and pragmatic ways of life and residence.展开更多
Abstract:Using authentic texts as data,the study mainly explores attitude from the aspects of affect,judgment and appreciation in advertising English under the framework of systemic functional theory.Attitude is an im...Abstract:Using authentic texts as data,the study mainly explores attitude from the aspects of affect,judgment and appreciation in advertising English under the framework of systemic functional theory.Attitude is an important part of evaluation,and evaluation is regarded as a central part of the meaning of any text,which is especially true of advertising texts.Through the discussion about Attitude,it is shown that many English advertisements contain information that expresses attitudinal meanings,which makes advertising more convincing and able to evoke affinity,and that the values of affect,judgment and appreciation all occur predominantly as positive categories.展开更多
Massive Open Online Courses(MOOCs)are courses delivered in an online environment with several features that are different from previous approaches to online education.The effectiveness of MOOCs is an open question bec...Massive Open Online Courses(MOOCs)are courses delivered in an online environment with several features that are different from previous approaches to online education.The effectiveness of MOOCs is an open question because completion rates are substantially less than traditional online education courses and online courses’quality varies.The aim of this study is to identify an available way to evaluate a MOOC and give some suggestions to improve it.This study attempts to evaluate a MOOC,Learning English for Academic Purpose by using the judgmental perspective suggested by Chapelle(2001).It proves the operability of Chapelle’s evaluation framework even in a MOOC environment.And through the evaluation,it is found that this course is useful and has great language learning potential.Meanwhile,it also has some drawbacks,such as,lack of consideration about individual differences,poor test feedback and so on.展开更多
Water-conserving mining is an effective way to alleviate the contradiction between fragile ecological environment and high-intensity coal mining in the arid and semi-arid region of northwest China. It needs to conside...Water-conserving mining is an effective way to alleviate the contradiction between fragile ecological environment and high-intensity coal mining in the arid and semi-arid region of northwest China. It needs to consider the engineering and geological conditions, hydrogeological conditions and mining methods of coal seams. From the three aspects, this paper systematically analyzes the influencing factors and establishes an identification model with multi-level structures. The model includes three primary factors (including the engineering and geological conditions, hydrogeological conditions and mining methods), nine secondary factors (including overlying strata thickness, aquiclude, mining parameters and etc.), sixteen third-tier factors (including the faults, aquiclude thickness and effective mining height and etc.) and twelve fourth-tier factors (including the fault throw exp on ent, aquiclude permeability and coal pillar sizes and etc.). On the basis, the analytic hierarchy process is used to build the judgment matrix and obtain the weight of each influencing factor. The results indicate that the overlying strata thickness, aquiclude and effective mining height are the most import a nt factors among the primary factors of engineering and geological conditions, hydrogeological conditions and mining methods, respectively. The research results could provide theoretical references for the water-conserving mining of coal resources in northwest China.展开更多
According to the aggregation method of experts＇ evaluation information in group decision-making,the existing methods of determining experts＇ weights based on cluster analysis take into account the expert＇s preferen...According to the aggregation method of experts＇ evaluation information in group decision-making,the existing methods of determining experts＇ weights based on cluster analysis take into account the expert＇s preferences and the consistency of expert＇s collating vectors,but they lack of the measure of information similarity.So it may occur that although the collating vector is similar to the group consensus,information uncertainty is great of a certain expert.However,it is clustered to a larger group and given a high weight.For this,a new aggregation method based on entropy and cluster analysis in group decision-making process is provided,in which the collating vectors are classified with information similarity coefficient,and the experts＇ weights are determined according to the result of classification,the entropy of collating vectors and the judgment matrix consistency.Finally,a numerical example shows that the method is feasible and effective.展开更多
文摘Developmental and reproductive toxicity(DART)endpoint entails a toxicological assessment of all developmental stages and reproductive cycles of an organism.In silico tools to predict DART will provide a method to assess this complex toxicity endpoint and will be valuable for screening emerging pollutants as well as for m anaging new chemicals in China.Currently,there are few published DART prediction models in China,but many related research and development projects are in progress.In 2013,WU et al.published an expert rule-based DART decision tree(DT).This DT relies on known chemical structures linked to DART to forecast DART potential of a given chemical.Within this procedure,an accurate DART data interpretation is the foundation of building and expanding the DT.This paper excerpted case studies demonstrating DART data curation and interpretation of four chemicals(including 8-hydroxyquinoline,3,5,6-trichloro-2-pyridinol,thiacloprid,and imidacloprid)to expand the existing DART DT.Chemicals were first selected from the database of Solid Waste and Chemicals Management Center,Ministry of Ecology and Environment(MEESCC)in China.The structures of these 4 chemicals were analyzed and preliminarily grouped by chemists based on core structural features,functional groups,receptor binding property,metabolism,and possible mode of actions.Then,the DART conclusion was derived by collecting chemical information,searching,integrating,and interpreting DART data by the toxicologists.Finally,these chemicals were classified into either an existing category or a new category via integrating their chemical features,DART conclusions,and biological properties.The results showed that 8-hydroxyquinoline impacted estrous cyclicity,s exual organ weights,and embryonal development,and 3,5,6-trichloro-2-pyridinol caused central nervous system(CNS)malformations,which were added to an existing subcategory 8e(aromatic compounds with multi-halogen and nitro groups)of the DT.Thiacloprid caused dystocia and fetal skeletal malformation,and imidacloprid disrupted the endocrine system and male fertility.They both contain 2-chloro-5-methylpyridine substituted imidazolidine c yclic ring,which were expected to create a new category of neonicotinoids.The current work delineates a t ransparent process of curating toxicological data for the purpose of DART data interpretation.In the presence of sufficient related structures and DART data,the DT can be expanded by iteratively adding chemicals within the a pplicable domain of each category or subcategory.This DT can potentially serve as a tool for screening emerging pollutants and assessing new chemicals in China.
文摘Perhaps the greatest compliment that an attending surgeon can bestow on a resident in training,is to comment,“He/she has good hands.”However,what defines good hands?What parameters are used to make that judgment?As an academic urologist,I had the opportunity to observe urology and general surgery residents in the operating room over several decades.
基金Earthquake Science and Technology Program of Hebei Province under Grant Nos.DZ2021120300001,DZ2024083000001,DZ2024112400016 and DZ2025092800001。
文摘In this study,terrestrial laser scanning(TLS)is used to collect building data after the M_(s) 7.0 magnitude earthquake in Lushan,Sichuan,China in 2013 for analysis and research.The analysis focuses on extracting the tilt and deformation of masonry buildings that are difficult to identify through visual inspection in basically intact,slightly damaged and moderately damaged masonry buildings,to solve the problem of ambiguous identification of damage.A quantitative analysis of the determination indexes of the degree of earthquake damage was carried out,and the numerical characteristics parameters such as the curvature of the wall point cloud proximity,angle,contour of the fitted plane of the point cloud,verticality(flatness)of the wall,standard deviation of the profile and angle of the profile were established to determine the degree of earthquake damage to buildings based on LiDAR data.The development of quantitative determination indexes for the degree of earthquake damage of buildings in this study has important application value for LiDAR data in the identification and extraction of earthquake damage information and damage level determination.
文摘Advancements in Natural Language Processing and Deep Learning techniques have significantly pro-pelled the automation of Legal Judgment Prediction,achieving remarkable progress in legal research.Most of the existing research works on Legal Judgment Prediction(LJP)use traditional optimization algorithms in deep learning techniques falling into local optimization.This research article focuses on using the modified Pelican Optimization method which mimics the collective behavior of Pelicans in the exploration and exploitation phase during cooperative food searching.Typically,the selection of search agents within a boundary is done randomly,which increases the time required to achieve global optimization.To address this,the proposed Chaotic Opposition Learning-based Pelican Optimization(COLPO)method incorporates the concept of Opposition-Based Learning combined with a chaotic cubic function,enabling deterministic selection of random numbers and reducing the number of iterations needed to reach global optimization.Also,the LJP approach in this work uses improved semantic similarity and entropy features to train a hybrid classifier combining Bi-GRU and Deep Maxout.The output scores are fused using improved score level fusion to boost prediction accuracy.The proposed COLPO method experiments with real-time Madras High Court criminal cases(Dataset 1)and the Supreme Court of India database(Dataset 2),and its performance is compared with nature-inspired algorithms such as Sparrow Search Algorithm(SSA),COOT,Spider Monkey Optimization(SMO),Pelican Optimization Algorithm(POA),as well as baseline classifier models and transformer neural networks.The results show that the proposed hybrid classifier with COLPO outperforms other cutting-edge LJP algorithms achieving 93.4%and 94.24%accuracy,respectively.
文摘研究发现,人们的道德判断会随季节而变化,而这一现象可能与人们的焦虑水平有关。1 As leaves fall,snow sweeps in or flowers come out,humans change in measurable ways,too.Research suggests a range of psychological phenomena,such as our emotional state,diet and exercise habits,vary throughout the year.Now a new study demonstrates how moral values can also shift with the seasons.
文摘This study examines how generative artificial intelligence(AI)reshapes creative identity in design education.Drawing on post-humanist and network-based theories,it frames AI as a cognitive collaborator in ideation and authorship.Mixed-methods data reveal student anxiety and stylistic confusion,contrasted with designers’adaptive strategies.The AI–Cognition–Identity framework supports curricula that promote reflective,ethical,and epistemically informed AI-integrated pedagogy.
基金Supported by National Natural Science Foundation of China(Grant No.51875412)Top Discipline Plan of Shanghai Universities-ClassⅠ。
文摘Carbon fiber reinforced polymer(CFRP)are widely used in various fields because of their high strength,good toughness,and low density.However,owing to their unique forming process,some complex structures such as holes and grooves cannot be formed directly.Therefore,traditional machining procedures are also required.The drilling process is one of the most common machining methods for CFRP holes,but owing to the complex structure and difficulty in processing CFRP,the quality of the drilling process is often challenging to guarantee.Moreover,the hole-forming defects also have complex forms and lack uniform evaluation indexes.This study summarizes the common orifice defects in the process of CFRP drilling,establishes a comprehensive evaluation method of orifice defects by introducing the relevant theory of the fuzzy complementary judgment matrix,and experimentally verifies the accuracy and reliability of this method.Then,based on the experimental results,a non-linear cutting parameter optimization model is established,which effectively suppresses the orifice defects to ensure the accuracy of the hole size,roundness,and hole wall roughness.The hole-forming quality is subsequently improved.The hole quality evaluation method proposed in this study reduced the dimension of the evaluation index to ensure relevance and effectiveness and improved the convenience of quality inspection and parameter optimization in actual production.
文摘This work elaborates a fast and robust structural health monitoring scheme for copying with aircraft structural fatigue.The type of noise in structural strain signals is determined by using a statistical analysis method,which can be regarded as a mixture of Gaussian-like(tiny hairy signals)and impulse-like noise(single signals with anomalous movements in peak and valley areas).Based on this,a least squares filtering method is employed to preprocess strain signals.To precisely eliminate noise or outliers in strain signals,we propose a novel variational model to generate step signals instead of strain ones.Expert judgments are employed to classify the generated signals.Based on the classification labels,whether the aircraft is structurally healthy is accurately judged.By taking the generated step count vectors and labels as an input,a discriminative neural network is proposed to realize automatic signal discrimination.The network output means whether the aircraft structure is healthy or not.Experimental results demonstrate that the proposed scheme is effective and efficient,as well as achieves more satisfactory results than other peers.
基金supported by the National Natural Science Foundation of China(Grant Nos.62371006,61931008,U21B2024,and 62071415)the National Key Research and Development Program of China(Grant No.2020YFB1406604)+2 种基金the Zhejiang Provincial Natural Science Foundation of China(Grant Nos.LDT23F01011F01,LDT23F01015F01,and LDT23F01014F01)the“Pioneer”and“Leading Goose”R&D Program of Zhejiang Province(Grant No.2022C01068)the China Postdoctoral Science Foundation(Grant Nos.2023TQ0006 and GZC20230057).
文摘Light-field fluorescence microscopy(LFM)is a powerful elegant compact method for long-term highspeed imaging of complex biological systems,such as neuron activities and rapid movements of organelles.LFM experiments typically generate terabytes of image data and require a substantial amount of storage space.Some lossy compression algorithms have been proposed recently with good compression performance.However,since the specimen usually only tolerates low-power density illumination for longterm imaging with low phototoxicity,the image signal-to-noise ratio(SNR)is relatively low,which will cause the loss of some efficient position or intensity information using such lossy compression algorithms.Here,we propose a phase-space continuity-enhanced bzip2(PC-bzip2)lossless compression method for LFM data as a high-efficiency and open-source tool that combines graphics processing unit-based fast entropy judgment and multicore-CPU-based high-speed lossless compression.Our proposed method achieves almost 10%compression ratio improvement while keeping the capability of high-speed compression,compared with the original bzip2.We evaluated our method on fluorescence beads data and fluorescence staining cells data with different SNRs.Moreover,by introducing temporal continuity,our method shows the superior compression ratio on time series data of zebrafish blood vessels.
文摘A Dream of Red Mansions is an ancient Chinese chapter-length fictional novel and the first of the Four Great Classical Novels of China. The judgments of the major characters within the book have been studied by many experts. The purpose of this paper is to analyse the translation strategies and their effects adopted by different translators for distinct translation purposes by comparing varied translations of the judgments and some of the allusions within them in the two English translations, Yang Xianyi and Hawkes.
基金Specialized Research Fund for the Doctoral Programof Higher Education (No20050213008)the Scientific and TechnicalPlan Item of Communications Department of Heilongjiang Province ofChina (2004)
文摘In order to guarantee the safety service and life-span of long-span cable-stayed bridges, the uncertain type of analytic hierarchy process （AHP） method is adopted to access the bridge condition. The correlative theory and applied objects of uncertain type of AHP are introduced, and then the optimal transitive matrix method is chosen to calculate the interval number judgment matrix, which makes the weights of indices more reliable and accurate. Finally, with Harbin Songhua River Cable-Stayed Bridge as an example, an index system and an assessment model are proposed for the condition assessment of this bridge, and by using uncertain type of AHP, the weights of assessment indices are fixed and the final assessment results of the bridge are calculated, which proves the feasibility and practicability of this method. The application of this assessment method can provide the scientific basis for maintenance and management of long-span cable-stayed bridges.
基金Supported by the Natural Science Foundation of Jiangxi Province(2009GZC0104)the Science and Technology Research Project of Jiangxi Provincial Department of Education(GJJ10521)~~
文摘Proper fixture design is crucial to obtain the better product quality according to the design specification during the workpiece fabrication. Locator layout planning is one of the most important tasks in the fixture design process. However, the design of a fixture relies heavily on the designerts expertise and experience up to now. Therefore, a new approach to loeator layout determination for workpieces with arbitrary complex surfaces is pro- posed for the first time. Firstly, based on the fuzzy judgment method, the proper locating reference and locator - numbers are determined with consideration of surface type, surface area and position tolerance. Secondly, the lo- cator positions are optimized by genetic algorithm（GA）. Finally, a typical example shows that the approach is su- perior to the experiential method and can improve positioning accuracy effectively.
文摘Towns＇ and cities＇ stories show their multidisciplinary richness and their complexity between professional skills and ways of life and residence of inhabitants by the analysis of the towns＇ changes. Through two protocols of research, during ten years from 2003 to 2012 and so on, of metropolitan changes in Bordeaux and travels in French and European cities, Christian Sallenave shows that： When everyone can write, tell and recognize his own story of town＇s changes, the cities know the best conditions for their sustainable development; Neither particular, nor general, but both in their specific dialectic; Neither panoptical and sovereign disciplines nor judgmental dopes, but both in their coming and goings and their ＂patriotic＂ property and register. The towns＇ stories are always written and marked in the same time in plural and singular, of arts, sciences and knowledge and pragmatic ways of life and residence.
文摘Abstract:Using authentic texts as data,the study mainly explores attitude from the aspects of affect,judgment and appreciation in advertising English under the framework of systemic functional theory.Attitude is an important part of evaluation,and evaluation is regarded as a central part of the meaning of any text,which is especially true of advertising texts.Through the discussion about Attitude,it is shown that many English advertisements contain information that expresses attitudinal meanings,which makes advertising more convincing and able to evoke affinity,and that the values of affect,judgment and appreciation all occur predominantly as positive categories.
文摘Massive Open Online Courses(MOOCs)are courses delivered in an online environment with several features that are different from previous approaches to online education.The effectiveness of MOOCs is an open question because completion rates are substantially less than traditional online education courses and online courses’quality varies.The aim of this study is to identify an available way to evaluate a MOOC and give some suggestions to improve it.This study attempts to evaluate a MOOC,Learning English for Academic Purpose by using the judgmental perspective suggested by Chapelle(2001).It proves the operability of Chapelle’s evaluation framework even in a MOOC environment.And through the evaluation,it is found that this course is useful and has great language learning potential.Meanwhile,it also has some drawbacks,such as,lack of consideration about individual differences,poor test feedback and so on.
基金the National Key Basic Research Program of China (973 Program)(grant number 2015CB251600)the National Natural Science Foundation of China (51874280)+1 种基金the Open Project of Key Laboratory of Mine Geological Hazards Mechanism and Control (grant number KF2017-02)the Priority Academic Program Development of Jiangsu Higher Education Institutions.
文摘Water-conserving mining is an effective way to alleviate the contradiction between fragile ecological environment and high-intensity coal mining in the arid and semi-arid region of northwest China. It needs to consider the engineering and geological conditions, hydrogeological conditions and mining methods of coal seams. From the three aspects, this paper systematically analyzes the influencing factors and establishes an identification model with multi-level structures. The model includes three primary factors (including the engineering and geological conditions, hydrogeological conditions and mining methods), nine secondary factors (including overlying strata thickness, aquiclude, mining parameters and etc.), sixteen third-tier factors (including the faults, aquiclude thickness and effective mining height and etc.) and twelve fourth-tier factors (including the fault throw exp on ent, aquiclude permeability and coal pillar sizes and etc.). On the basis, the analytic hierarchy process is used to build the judgment matrix and obtain the weight of each influencing factor. The results indicate that the overlying strata thickness, aquiclude and effective mining height are the most import a nt factors among the primary factors of engineering and geological conditions, hydrogeological conditions and mining methods, respectively. The research results could provide theoretical references for the water-conserving mining of coal resources in northwest China.
文摘According to the aggregation method of experts＇ evaluation information in group decision-making,the existing methods of determining experts＇ weights based on cluster analysis take into account the expert＇s preferences and the consistency of expert＇s collating vectors,but they lack of the measure of information similarity.So it may occur that although the collating vector is similar to the group consensus,information uncertainty is great of a certain expert.However,it is clustered to a larger group and given a high weight.For this,a new aggregation method based on entropy and cluster analysis in group decision-making process is provided,in which the collating vectors are classified with information similarity coefficient,and the experts＇ weights are determined according to the result of classification,the entropy of collating vectors and the judgment matrix consistency.Finally,a numerical example shows that the method is feasible and effective.
