Faced with a socio-political-mediatic arena that continues to return the ballet of pandemic,climate change,fourth industrial revolution,sixth mass extinction,war etc.,the reflection of Michel Serres and Posthumanism p...Faced with a socio-political-mediatic arena that continues to return the ballet of pandemic,climate change,fourth industrial revolution,sixth mass extinction,war etc.,the reflection of Michel Serres and Posthumanism put forth instances for silencing of the anthropocentric logos,and for recognition of the multiplicity,variety,possibility of things and of the human in co-belonging with them,as well as instances for working on these same multiplicities,varieties,possibilities,that are often absences,black holes,repressed of philosophical thought.展开更多
In commanding decision-making, the commander usually needs to know a lot of situations（intelligence） on the adversary. Because of the military intelligence with opposability, it is inevitable that intelligence perso...In commanding decision-making, the commander usually needs to know a lot of situations（intelligence） on the adversary. Because of the military intelligence with opposability, it is inevitable that intelligence personnel take some deceptive information released by the rival as intelligence data in the process of intelligence gathering. Since the failure of intelligence is likely to lead to a serious aftereffect, the recognition of intelligence is a very important problem. An elementary research on recognizing military intelligence and puts forward a systematic processing method are made. First, the types and characteristics of military intelligence are briefly discussed, a research thought of recognizing military intelligence by means of recognizing military hypotheses are presented. Next, the reasoning mode and framework for recognizing military hypotheses are presented from the angle of psychology of intelligence analysis and non-monotonic reasoning. Then, a model for recognizing military hypothesis is built on the basis of fuzzy judgement information given by intelligence analysts. A calculative example shows that the model has the characteristics of simple calculation and good maneuverability. Last, the methods that selecting the most likely hypothesis from the survival hypotheses via final recognition are discussed.展开更多
A new approach to detecting ocean eddies automatically from remote sensing imageries based on the ocean eddy＇s eigen-pattern in remote sensing imagery and ＂force field-based shape extracting method＂ is proposed. Fi...A new approach to detecting ocean eddies automatically from remote sensing imageries based on the ocean eddy＇s eigen-pattern in remote sensing imagery and ＂force field-based shape extracting method＂ is proposed. First, the analysis on extracting eddies＇ edges from remote sensing imagery using conventional edge detection arithmetic operators is performed and returns digitized vector edge data as a result. Second, attraction forces and fusion forces between edge curves were analyzed and calculated based on the vector eddy edges. Thirdly, the virtual significant spatial patterns of eddy were detected automatically using iterative repetition followed by optimized rule. Finally, the spatial form auto-detection of different types of ocean eddies was done using satellite images. The study verified that this is an effective way to identify and detect the ocean eddy with a complex form.展开更多
THE 2017 WorldEconomic Forum （WEF） held in Davos in January placed a spotlight on the increasing dissatisfaction and disgruntlement that characterize the mindset of a growing number of global citizens, cutting acros...THE 2017 WorldEconomic Forum （WEF） held in Davos in January placed a spotlight on the increasing dissatisfaction and disgruntlement that characterize the mindset of a growing number of global citizens, cutting across nationalities and continents. Themed ＂Responsive and Responsible Leadership,＂ organizers sought to use the platform to congregate ideas,展开更多
In a recent study,Prof.Rui Min and collaborators published their paper in the journal of Opto-Electronic Science that is entitled"Smart photonic wristband for pulse wave monitoring".The paper introduces nove...In a recent study,Prof.Rui Min and collaborators published their paper in the journal of Opto-Electronic Science that is entitled"Smart photonic wristband for pulse wave monitoring".The paper introduces novel realization of a sensor that us-es a polymer optical multi-mode fiber to sense pulse wave bio-signal from a wrist by analyzing the specklegram mea-sured at the output of the fiber.Applying machine learning techniques over the pulse wave signal allowed medical diag-nostics and recognizing different gestures with accuracy rate of 95%.展开更多
Ferroptosis is a novel form of cell death driven by oxidative damage,and is implicated in various pathological conditions,including neurodegenerative diseases,retinal damage,and ischemia-reperfusion injury of organs.I...Ferroptosis is a novel form of cell death driven by oxidative damage,and is implicated in various pathological conditions,including neurodegenerative diseases,retinal damage,and ischemia-reperfusion injury of organs.Inhibiting ferroptosis has shown great promise as a therapeutic strategy for these diseases,underscoring the urgent need to develop effective ferroptosis inhibitors.Although Ferrostatin-1(Fer-1)is a potent ferroptosis inhibitor,its susceptibility to oxidation and metabolic inactivation limits its clinical utility.In this study,the accumulation of peroxides and the resulting oxidative damage in the cellular microenvironment during ferroptosis were utilized to design Ferrostatin-1 prodrugs with reactive oxygen species-responsive features.This approach led to the development of a series of ferroptosis inhibitors that were capable of recognizing oxidative damage in diseased areas,allowing for targeted release and improved stability.The novel compounds demonstrated significant inhibitory effects and selectivity against RSL-3-induced ferroptosis in HK-2 cells,with compound a1 exhibiting an EC50 of 15.4�0.7μM,outperforming Fer-1.These compounds effectively identify the oxidative microenvironment associated with ferroptosis,enabling the targeted release of Fer-1,which prevents lipid peroxide accumulation and inhibits ferroptosis.This strategy holds promise for treating diseases related to ferroptosis,offering a targeted and intelligent therapeutic approach.展开更多
Background China is progressing towards the goal of schistosomiasis elimination,but there are still some problems,such as difficult management of infection source and snail control.This study aimed to develop deep lea...Background China is progressing towards the goal of schistosomiasis elimination,but there are still some problems,such as difficult management of infection source and snail control.This study aimed to develop deep learning models with high-resolution remote sensing images for recognizing and monitoring livestock bovine,which is an intermediate source of Schistosoma japonicum infection,and to evaluate the effectiveness of the models for real-world application.Methods The dataset of livestock bovine’s spatial distribution was collected from the Chinese National Platform for Common Geospatial Information Services.The high-resolution remote sensing images were further divided into training data,test data,and validation data for model development.Two recognition models based on deep learning methods(ENVINet5 and Mask R-CNN)were developed with reference to the training datasets.The performance of the developed models was evaluated by the performance metrics of precision,recall,and F1-score.Results A total of 50 typical image areas were selected,1125 bovine objectives were labeled by the ENVINet5 model and 1277 bovine objectives were labeled by the Mask R-CNN model.For the ENVINet5 model,a total of 1598 records of bovine distribution were recognized.The model precision and recall were 81.9%and 80.2%,respectively.The F1 score was 0.81.For the Mask R-CNN mode,1679 records of bovine objectives were identified.The model precision and recall were 87.3%and 85.2%,respectively.The F1 score was 0.87.When applying the developed models to real-world schistosomiasis-endemic regions,there were 63 bovine objectives in the original image,53 records were extracted using the ENVINet5 model,and 57 records were extracted using the Mask R-CNN model.The successful recognition ratios were 84.1%and 90.5%for the respectively developed models.Conclusion The ENVINet5 model is very feasible when the bovine distribution is low in structure with few samples.The Mask R-CNN model has a good framework design and runs highly efficiently.The livestock recognition models developed using deep learning methods with high-resolution remote sensing images accurately recognize the spatial distribution of livestock,which could enable precise control of schistosomiasis.展开更多
Epigenetics is the study of heritable changes in gene function that do not involve changes in the DNA sequence. Epigenetics most often denotes changes in a chromosome that affect gene activity and expression, and also...Epigenetics is the study of heritable changes in gene function that do not involve changes in the DNA sequence. Epigenetics most often denotes changes in a chromosome that affect gene activity and expression, and also can be used to describe any heritable phenotypic change. Such effects on cellar and physiological展开更多
Chinese Physics Letters (CPL) is a peer-reviewed, international and multidisciplinary journal sponsored by the Chinese Physical Society (CPS) and Institute of Physics, CAS,and hosted online by IOP Publishing Ltd. Laun...Chinese Physics Letters (CPL) is a peer-reviewed, international and multidisciplinary journal sponsored by the Chinese Physical Society (CPS) and Institute of Physics, CAS,and hosted online by IOP Publishing Ltd. Launched in 1984 as the flagship journal of CPS, CPL has become one of the most prestigious periodicals published in China, and been among the good choices for worldwide physicists to disseminate their most important breakthroughs. Nowadays it is dedicated to build an internationally recognized platform for researchers to publish original research works in all the branches of fundamental,applied, and interdisciplinary physics.展开更多
I applaud Adekeye AP and the journal for publishing‘Smoking of Carica papaya in Nigeria:The rationale,the public health effects and policies for intervention’.It is important to draw attention to newly recognised us...I applaud Adekeye AP and the journal for publishing‘Smoking of Carica papaya in Nigeria:The rationale,the public health effects and policies for intervention’.It is important to draw attention to newly recognised uses of substances which might alter perception,mood,and/or behaviour.展开更多
Buying cheaper cars, enjoying more international products,traveling to more countries and seeing "made in China" everywhere around the world—all of these are great changes people experienced after China’s ...Buying cheaper cars, enjoying more international products,traveling to more countries and seeing "made in China" everywhere around the world—all of these are great changes people experienced after China’s entry into the WTO in 2001.展开更多
The carbon films are prepared by r.f. plasma method with n butylamine as carbon source. The analysis of Raman spectrosecopy shows that this kind of carbon film has diamond_like structure, and IR spectroscopy measureme...The carbon films are prepared by r.f. plasma method with n butylamine as carbon source. The analysis of Raman spectrosecopy shows that this kind of carbon film has diamond_like structure, and IR spectroscopy measurement indicats that there are SP 2 bonding, SP 3 bonding and amino group in the film. It is the existence of amino group and hydrogen atom that cause the amorphous structure and the deformation of bonding to increase, thus leading the Raman spectrum to form a broad absorption band. The quartz crystal microbalance (QCM) deposited with this kind of carbon film as recognizing coating is very sensitive to formic acid vapors. This QCM sensor has good reproducibility, high stability, rapid response and long lifetime.展开更多
This article analyses the procedure of exploration of the Tertiary subtle trap in Jiyang depression and divides the Tertiary subtle trap into 3 types (lithologic reservoir, stratigraphic reservoir and fractured reserv...This article analyses the procedure of exploration of the Tertiary subtle trap in Jiyang depression and divides the Tertiary subtle trap into 3 types (lithologic reservoir, stratigraphic reservoir and fractured reservoir) and 8 groups, then summarizes the common feature and founding discipline of the subtle trap and finds 4 accumulating modes including steep slope mode, depression mode, center anticline mode and gentle slope mode. Its main exploration methods are explicated from the viewpoint of reservoir geological modeling, description of recognizing traps and comprehensive evaluation of reservoir and so on.展开更多
In the photogrammetry,some researchers have applied genetic algorithms in aerial image texture classification and reducing hyper_spectrum remote sensing data.Genetic algorithm can rapidly find the solutions which are ...In the photogrammetry,some researchers have applied genetic algorithms in aerial image texture classification and reducing hyper_spectrum remote sensing data.Genetic algorithm can rapidly find the solutions which are close to the optimal solution.But it is not easy to find the optimal solution.In order to solve the problem,a cooperative evolution idea integrating genetic algorithm and ant colony algorithm is presented in this paper.On the basis of the advantages of ant colony algorithm,this paper proposes the method integrating genetic algorithms and ant colony algorithm to overcome the drawback of genetic algorithms.Moreover,the paper takes designing texture classification masks of aerial images as an example to illustrate the integration theory and procedures.展开更多
A multi-character recognition method based on hidden Markov model （HMM） was presented. The method can reduce the calculation load of correlation and improve recognition accuracy compared with singlecharacter recogni...A multi-character recognition method based on hidden Markov model （HMM） was presented. The method can reduce the calculation load of correlation and improve recognition accuracy compared with singlecharacter recognition in video. The characteristics used for recognizing include the shape character, the color character, the texture character and so on. Even our human being generally uses these characteristics to recognize objects in practice..4, recognition experiment of 17 fishes was carried out in the paper. The experimental results demonstrate the high veracity of the multi-character recognition algorithm. Together with the tracking process, it can handle dynamic objects, so the multi-character recognition is more like the human recognition, and has great application value.展开更多
Motivation plays an vital role in foreign language learning.Every language teacher should pay more attention to it.Firstly,inspire achievement motivation;Secondly,let students recognize the importance of learning lang...Motivation plays an vital role in foreign language learning.Every language teacher should pay more attention to it.Firstly,inspire achievement motivation;Secondly,let students recognize the importance of learning language.展开更多
For news video images, caption recognizing is a useful and important step for content understanding. Caption locating is usually the first step of caption recognizing and this paper proposes a simple but effective cap...For news video images, caption recognizing is a useful and important step for content understanding. Caption locating is usually the first step of caption recognizing and this paper proposes a simple but effective caption locating algorithm called maximum feature score region （MFSR） based method, which mainly consists of two stages： In the first stage, up/down boundaries are attained by turning to edge map projection. Then, maximum feature score region is defined and left/right boundaries are achieved by utilizing MFSR. Experiments show that the proposed MFSR based method has superior and robust performance on news video images of different types.展开更多
AMT method with the economical and convenient superiority plays a key role in exploring the sandstone-type uranium deposits in China, which mainly meets to four problems such as the thickness of overlying strata, deli...AMT method with the economical and convenient superiority plays a key role in exploring the sandstone-type uranium deposits in China, which mainly meets to four problems such as the thickness of overlying strata, delineating the shape of the significant sand bodies, whether there are buried structures and knowing the basement relief. Exploring the sand body shape is the key one among such problems because sand body provides the room of uranium deposits and is the prerequisite for exploring uranium mineralization. Through an example of outlining the sandstone layer within the mudstone layers, the ability can be improved to recognize the electrical resistivity anomaly among the weak electrical property contrast by adjusting the inversion model’s scale. A route to deal with the problem was given by inverting different scale models followed by checking whether the anomalies of each inversion are reliable. Finally, the geo-electrical model was to be determined by comparing results of different scale model.展开更多
<p align="justify"> <strong>Background</strong><strong>:</strong> Alzheimer’s sufferers (AS) are unable to visually recognize facial emotions (VRFE). However, we do not know th...<p align="justify"> <strong>Background</strong><strong>:</strong> Alzheimer’s sufferers (AS) are unable to visually recognize facial emotions (VRFE). However, we do not know the kind of emotions involved, the timeline for the onset of this loss of ability to recognize facial emotional expressions during the natural course of this disease and the existence of any correlation with other comorbid cognitive disorders. For that reason, the authors aimed to determine whether a deficit in facial emotion recognition is present at the onset of Alzheimer disease, distinctly and concurrently with the onset of cognitive impairment or is it a prodromal syndrome of Alzheimer’s Disease before the onset of cognitive decline and what emotions are involved. A secondary aim was to investigate relationships between facial emotion recognition and cognitive performance on various parameters. <strong>Method:</strong> Single Blind Case-control study. Setting in Memory clinic. <strong><span style="font-family:Verdana;">Participants: </span></strong>12 patients, (AS) and 12 control subjects (CS) were enrolled. <strong>Measurements: </strong>Quantitative information about the ability for facial emotion recognition was obtained from Method of Analysis and Research on the Integration of Emotions (MARIE). The Mini Mental Status Examination (MMSE), the Picture Naming, the Mattis Dementia Rating Scale (DRS), and the Grober & Buschke Free and Cued Selective Reminding Test (FCSRT) tests were used to measure cognitive impairment. <strong>Results:</strong> We note that the AS have a problem with the visual recognition of facial emotions with existence of a higher threshold for visual recognition. The AS is less sensitive to the visual recognition cues of facial emotions. AS is unable to distinguish anger from fear. It would be a possible explanation for some acts of aggressiveness seen in the clinical and home setting demonstrated by “<i>AS with behavioral disturbance</i>”. The anger-fear series was found to be the first affected in the course of Alzheimer’s. The appearance of the curve is sigmoid for the control group and linear for the Alzheimer’s patients with a cognitive distortion when the VRFE is represented graphically with percentage of correct recognition plotted on the “y” axis and the selected images presented as stimulus with measures of density of emotion plotted on the “x” axis. In both groups, it is intuitively and theoretically expected that correct recognition will be directly proportional to the density of represented emotion in the stimulus image. This hypothesis is true for CS but not so for AS. The MARIE (<i>see below</i>) processing of emotions seems to be strengthened by the optimal cognitive functions showing the hypothesis applies to CS but not uniformly in AS. This anomaly in the AS is evidenced by the decline of the cognitive functions contributing to abovementioned “linearization” in the graphic representation. There is a direct positive correlation between the results of MARIE and the performance on cognitive tests. <strong>Conclusion: </strong>The administration of a combination of DRS, FCSRT, and MARIE to patients screened for possibly emerging Alzheimer’s could provide a more detailed and specific approach to make a definitive early diagnosis of Alzheimer’s. The Alzheimer’s patients found it difficult to distinguish between anger and fear. </p>展开更多
文摘Faced with a socio-political-mediatic arena that continues to return the ballet of pandemic,climate change,fourth industrial revolution,sixth mass extinction,war etc.,the reflection of Michel Serres and Posthumanism put forth instances for silencing of the anthropocentric logos,and for recognition of the multiplicity,variety,possibility of things and of the human in co-belonging with them,as well as instances for working on these same multiplicities,varieties,possibilities,that are often absences,black holes,repressed of philosophical thought.
文摘In commanding decision-making, the commander usually needs to know a lot of situations（intelligence） on the adversary. Because of the military intelligence with opposability, it is inevitable that intelligence personnel take some deceptive information released by the rival as intelligence data in the process of intelligence gathering. Since the failure of intelligence is likely to lead to a serious aftereffect, the recognition of intelligence is a very important problem. An elementary research on recognizing military intelligence and puts forward a systematic processing method are made. First, the types and characteristics of military intelligence are briefly discussed, a research thought of recognizing military intelligence by means of recognizing military hypotheses are presented. Next, the reasoning mode and framework for recognizing military hypotheses are presented from the angle of psychology of intelligence analysis and non-monotonic reasoning. Then, a model for recognizing military hypothesis is built on the basis of fuzzy judgement information given by intelligence analysts. A calculative example shows that the model has the characteristics of simple calculation and good maneuverability. Last, the methods that selecting the most likely hypothesis from the survival hypotheses via final recognition are discussed.
文摘A new approach to detecting ocean eddies automatically from remote sensing imageries based on the ocean eddy＇s eigen-pattern in remote sensing imagery and ＂force field-based shape extracting method＂ is proposed. First, the analysis on extracting eddies＇ edges from remote sensing imagery using conventional edge detection arithmetic operators is performed and returns digitized vector edge data as a result. Second, attraction forces and fusion forces between edge curves were analyzed and calculated based on the vector eddy edges. Thirdly, the virtual significant spatial patterns of eddy were detected automatically using iterative repetition followed by optimized rule. Finally, the spatial form auto-detection of different types of ocean eddies was done using satellite images. The study verified that this is an effective way to identify and detect the ocean eddy with a complex form.
文摘THE 2017 WorldEconomic Forum （WEF） held in Davos in January placed a spotlight on the increasing dissatisfaction and disgruntlement that characterize the mindset of a growing number of global citizens, cutting across nationalities and continents. Themed ＂Responsive and Responsible Leadership,＂ organizers sought to use the platform to congregate ideas,
文摘In a recent study,Prof.Rui Min and collaborators published their paper in the journal of Opto-Electronic Science that is entitled"Smart photonic wristband for pulse wave monitoring".The paper introduces novel realization of a sensor that us-es a polymer optical multi-mode fiber to sense pulse wave bio-signal from a wrist by analyzing the specklegram mea-sured at the output of the fiber.Applying machine learning techniques over the pulse wave signal allowed medical diag-nostics and recognizing different gestures with accuracy rate of 95%.
基金supported by the Natural Science Foundation of Liaoning Province(2023-MSBA-020)the Fundamental Research Funds for Central Universities(DUT24MS020)Science and Technology Innovation Fund of Dalian(2022JJ13SN073).
文摘Ferroptosis is a novel form of cell death driven by oxidative damage,and is implicated in various pathological conditions,including neurodegenerative diseases,retinal damage,and ischemia-reperfusion injury of organs.Inhibiting ferroptosis has shown great promise as a therapeutic strategy for these diseases,underscoring the urgent need to develop effective ferroptosis inhibitors.Although Ferrostatin-1(Fer-1)is a potent ferroptosis inhibitor,its susceptibility to oxidation and metabolic inactivation limits its clinical utility.In this study,the accumulation of peroxides and the resulting oxidative damage in the cellular microenvironment during ferroptosis were utilized to design Ferrostatin-1 prodrugs with reactive oxygen species-responsive features.This approach led to the development of a series of ferroptosis inhibitors that were capable of recognizing oxidative damage in diseased areas,allowing for targeted release and improved stability.The novel compounds demonstrated significant inhibitory effects and selectivity against RSL-3-induced ferroptosis in HK-2 cells,with compound a1 exhibiting an EC50 of 15.4�0.7μM,outperforming Fer-1.These compounds effectively identify the oxidative microenvironment associated with ferroptosis,enabling the targeted release of Fer-1,which prevents lipid peroxide accumulation and inhibits ferroptosis.This strategy holds promise for treating diseases related to ferroptosis,offering a targeted and intelligent therapeutic approach.
基金National Natural Science Foundation of China(No.32161143036,No.82173633,No.81960374)Science and Technology research project of Shanghai Municipal Health Commission(No.20194Y0359)National Key Research and Development Program of China(No.2021YFC2300800,2021YFC2300803)
文摘Background China is progressing towards the goal of schistosomiasis elimination,but there are still some problems,such as difficult management of infection source and snail control.This study aimed to develop deep learning models with high-resolution remote sensing images for recognizing and monitoring livestock bovine,which is an intermediate source of Schistosoma japonicum infection,and to evaluate the effectiveness of the models for real-world application.Methods The dataset of livestock bovine’s spatial distribution was collected from the Chinese National Platform for Common Geospatial Information Services.The high-resolution remote sensing images were further divided into training data,test data,and validation data for model development.Two recognition models based on deep learning methods(ENVINet5 and Mask R-CNN)were developed with reference to the training datasets.The performance of the developed models was evaluated by the performance metrics of precision,recall,and F1-score.Results A total of 50 typical image areas were selected,1125 bovine objectives were labeled by the ENVINet5 model and 1277 bovine objectives were labeled by the Mask R-CNN model.For the ENVINet5 model,a total of 1598 records of bovine distribution were recognized.The model precision and recall were 81.9%and 80.2%,respectively.The F1 score was 0.81.For the Mask R-CNN mode,1679 records of bovine objectives were identified.The model precision and recall were 87.3%and 85.2%,respectively.The F1 score was 0.87.When applying the developed models to real-world schistosomiasis-endemic regions,there were 63 bovine objectives in the original image,53 records were extracted using the ENVINet5 model,and 57 records were extracted using the Mask R-CNN model.The successful recognition ratios were 84.1%and 90.5%for the respectively developed models.Conclusion The ENVINet5 model is very feasible when the bovine distribution is low in structure with few samples.The Mask R-CNN model has a good framework design and runs highly efficiently.The livestock recognition models developed using deep learning methods with high-resolution remote sensing images accurately recognize the spatial distribution of livestock,which could enable precise control of schistosomiasis.
文摘Epigenetics is the study of heritable changes in gene function that do not involve changes in the DNA sequence. Epigenetics most often denotes changes in a chromosome that affect gene activity and expression, and also can be used to describe any heritable phenotypic change. Such effects on cellar and physiological
文摘Chinese Physics Letters (CPL) is a peer-reviewed, international and multidisciplinary journal sponsored by the Chinese Physical Society (CPS) and Institute of Physics, CAS,and hosted online by IOP Publishing Ltd. Launched in 1984 as the flagship journal of CPS, CPL has become one of the most prestigious periodicals published in China, and been among the good choices for worldwide physicists to disseminate their most important breakthroughs. Nowadays it is dedicated to build an internationally recognized platform for researchers to publish original research works in all the branches of fundamental,applied, and interdisciplinary physics.
文摘I applaud Adekeye AP and the journal for publishing‘Smoking of Carica papaya in Nigeria:The rationale,the public health effects and policies for intervention’.It is important to draw attention to newly recognised uses of substances which might alter perception,mood,and/or behaviour.
文摘Buying cheaper cars, enjoying more international products,traveling to more countries and seeing "made in China" everywhere around the world—all of these are great changes people experienced after China’s entry into the WTO in 2001.
文摘The carbon films are prepared by r.f. plasma method with n butylamine as carbon source. The analysis of Raman spectrosecopy shows that this kind of carbon film has diamond_like structure, and IR spectroscopy measurement indicats that there are SP 2 bonding, SP 3 bonding and amino group in the film. It is the existence of amino group and hydrogen atom that cause the amorphous structure and the deformation of bonding to increase, thus leading the Raman spectrum to form a broad absorption band. The quartz crystal microbalance (QCM) deposited with this kind of carbon film as recognizing coating is very sensitive to formic acid vapors. This QCM sensor has good reproducibility, high stability, rapid response and long lifetime.
文摘This article analyses the procedure of exploration of the Tertiary subtle trap in Jiyang depression and divides the Tertiary subtle trap into 3 types (lithologic reservoir, stratigraphic reservoir and fractured reservoir) and 8 groups, then summarizes the common feature and founding discipline of the subtle trap and finds 4 accumulating modes including steep slope mode, depression mode, center anticline mode and gentle slope mode. Its main exploration methods are explicated from the viewpoint of reservoir geological modeling, description of recognizing traps and comprehensive evaluation of reservoir and so on.
文摘In the photogrammetry,some researchers have applied genetic algorithms in aerial image texture classification and reducing hyper_spectrum remote sensing data.Genetic algorithm can rapidly find the solutions which are close to the optimal solution.But it is not easy to find the optimal solution.In order to solve the problem,a cooperative evolution idea integrating genetic algorithm and ant colony algorithm is presented in this paper.On the basis of the advantages of ant colony algorithm,this paper proposes the method integrating genetic algorithms and ant colony algorithm to overcome the drawback of genetic algorithms.Moreover,the paper takes designing texture classification masks of aerial images as an example to illustrate the integration theory and procedures.
基金the National Natural Science Foundation of China (No.60675024)
文摘A multi-character recognition method based on hidden Markov model （HMM） was presented. The method can reduce the calculation load of correlation and improve recognition accuracy compared with singlecharacter recognition in video. The characteristics used for recognizing include the shape character, the color character, the texture character and so on. Even our human being generally uses these characteristics to recognize objects in practice..4, recognition experiment of 17 fishes was carried out in the paper. The experimental results demonstrate the high veracity of the multi-character recognition algorithm. Together with the tracking process, it can handle dynamic objects, so the multi-character recognition is more like the human recognition, and has great application value.
文摘Motivation plays an vital role in foreign language learning.Every language teacher should pay more attention to it.Firstly,inspire achievement motivation;Secondly,let students recognize the importance of learning language.
基金supported by National Natural Science Foundation of China(Nos.61272394,61201395 and61472119)the program for Science&Technology Innovation Talents in Universities of Henan Province(No.13HASTIT039)+1 种基金Henan Polytechnic University Innovative Research Team(No.T2014-3)Henan Polytechnic University Fund for Distinguished Young Scholars(No.J2013-2)
文摘For news video images, caption recognizing is a useful and important step for content understanding. Caption locating is usually the first step of caption recognizing and this paper proposes a simple but effective caption locating algorithm called maximum feature score region （MFSR） based method, which mainly consists of two stages： In the first stage, up/down boundaries are attained by turning to edge map projection. Then, maximum feature score region is defined and left/right boundaries are achieved by utilizing MFSR. Experiments show that the proposed MFSR based method has superior and robust performance on news video images of different types.
文摘AMT method with the economical and convenient superiority plays a key role in exploring the sandstone-type uranium deposits in China, which mainly meets to four problems such as the thickness of overlying strata, delineating the shape of the significant sand bodies, whether there are buried structures and knowing the basement relief. Exploring the sand body shape is the key one among such problems because sand body provides the room of uranium deposits and is the prerequisite for exploring uranium mineralization. Through an example of outlining the sandstone layer within the mudstone layers, the ability can be improved to recognize the electrical resistivity anomaly among the weak electrical property contrast by adjusting the inversion model’s scale. A route to deal with the problem was given by inverting different scale models followed by checking whether the anomalies of each inversion are reliable. Finally, the geo-electrical model was to be determined by comparing results of different scale model.
文摘<p align="justify"> <strong>Background</strong><strong>:</strong> Alzheimer’s sufferers (AS) are unable to visually recognize facial emotions (VRFE). However, we do not know the kind of emotions involved, the timeline for the onset of this loss of ability to recognize facial emotional expressions during the natural course of this disease and the existence of any correlation with other comorbid cognitive disorders. For that reason, the authors aimed to determine whether a deficit in facial emotion recognition is present at the onset of Alzheimer disease, distinctly and concurrently with the onset of cognitive impairment or is it a prodromal syndrome of Alzheimer’s Disease before the onset of cognitive decline and what emotions are involved. A secondary aim was to investigate relationships between facial emotion recognition and cognitive performance on various parameters. <strong>Method:</strong> Single Blind Case-control study. Setting in Memory clinic. <strong><span style="font-family:Verdana;">Participants: </span></strong>12 patients, (AS) and 12 control subjects (CS) were enrolled. <strong>Measurements: </strong>Quantitative information about the ability for facial emotion recognition was obtained from Method of Analysis and Research on the Integration of Emotions (MARIE). The Mini Mental Status Examination (MMSE), the Picture Naming, the Mattis Dementia Rating Scale (DRS), and the Grober & Buschke Free and Cued Selective Reminding Test (FCSRT) tests were used to measure cognitive impairment. <strong>Results:</strong> We note that the AS have a problem with the visual recognition of facial emotions with existence of a higher threshold for visual recognition. The AS is less sensitive to the visual recognition cues of facial emotions. AS is unable to distinguish anger from fear. It would be a possible explanation for some acts of aggressiveness seen in the clinical and home setting demonstrated by “<i>AS with behavioral disturbance</i>”. The anger-fear series was found to be the first affected in the course of Alzheimer’s. The appearance of the curve is sigmoid for the control group and linear for the Alzheimer’s patients with a cognitive distortion when the VRFE is represented graphically with percentage of correct recognition plotted on the “y” axis and the selected images presented as stimulus with measures of density of emotion plotted on the “x” axis. In both groups, it is intuitively and theoretically expected that correct recognition will be directly proportional to the density of represented emotion in the stimulus image. This hypothesis is true for CS but not so for AS. The MARIE (<i>see below</i>) processing of emotions seems to be strengthened by the optimal cognitive functions showing the hypothesis applies to CS but not uniformly in AS. This anomaly in the AS is evidenced by the decline of the cognitive functions contributing to abovementioned “linearization” in the graphic representation. There is a direct positive correlation between the results of MARIE and the performance on cognitive tests. <strong>Conclusion: </strong>The administration of a combination of DRS, FCSRT, and MARIE to patients screened for possibly emerging Alzheimer’s could provide a more detailed and specific approach to make a definitive early diagnosis of Alzheimer’s. The Alzheimer’s patients found it difficult to distinguish between anger and fear. </p>
