Measurement of oxygen concentration and distribution in brain is essential to understanding the pathophysiology of stroke. Although brain oxygen level is critical for brain tissue survival,
Determining the distribution of alloying elements,particularly lithium,is crucial for a holistic understanding of magnesium-lithium-based alloys.In this work,a bespoke ratio spectrum-imaging method based on electron e...Determining the distribution of alloying elements,particularly lithium,is crucial for a holistic understanding of magnesium-lithium-based alloys.In this work,a bespoke ratio spectrum-imaging method based on electron energy-loss spectroscopy,in combination with time-of-flight secondary ion mass spectrometry,energy-dispersive X-ray spectroscopy and Z-contrast imaging,was applied to an as-rolled LAZ941 alloy(Mg-9Li-4Al-1Zn in wt.%).This was done to characterize the distribution of alloying elements,including the distribution of solute in the magnesium matrix.The applications of different mapping techniques revealed that precipitates with two different morphologies are rich in Li,Al and Zn,compared to their surrounding matrix.Additionally,it was confirmed that theβ-phase of the alloy contains higher Li and lower Mg concentrations when compared to theα-phase.This study demonstrated the effectiveness and accuracy of the ratio spectrum-imaging method for mapping the elemental distribution(including lithium)in a range of Li-containing materials.展开更多
The dinoflagellate Noctiluca scintillans is one of the most important and abundant red tide organisms and it is distributed world-wide. It occurs in two forms. Red Noctiluca is heterotrophic and fills the role of one ...The dinoflagellate Noctiluca scintillans is one of the most important and abundant red tide organisms and it is distributed world-wide. It occurs in two forms. Red Noctiluca is heterotrophic and fills the role of one of the microzooplankton grazers in the foodweb. In contrast, green Noctiluca contains a photosynthetic symbiont Pedinomonas noctilucae （a prasinophyte）, but it also feeds on other plankton when the food supply is abundant. In this review, we document the global distribution of these two forms and include the first maps of their global distribution. Red Noctiluca occurs widely in the temperate to sub-tropical coastal regions of the world. It occurs over a wide temperature range of about 10℃ to 25℃ and at higher salinities （generally not in estuaries）. It is particularly abundant in high productivity areas such as upwelling or eutrophic areas where diatoms dominate since they are its preferred food source. Green Noctiluca is much more restricted to a temperature range of 25℃-30℃ and mainly occurs in tropical waters of Southeast Asia, Bay of Bengal （east coast of India）, in the eastern, western and northern Arabian Sea, the Red Sea, and recently it has become very abundant in the Gulf of Oman. Red and green Noctiluca do overlap in their distribution in the eastern, northern and western Arabian Sea with a seasonal shift from green Noctiluca in the cooler winter convective mixing, higher productivity season, to red Noctiluca in the more oligotrophic warmer summer season.展开更多
Soil carbon mapping is extremely useful in assessing the effect of land management practices on soil carbon storage.Applications of neutron-gamma analysis in scanning mode for mapping of soil carbon are discussed.A Gl...Soil carbon mapping is extremely useful in assessing the effect of land management practices on soil carbon storage.Applications of neutron-gamma analysis in scanning mode for mapping of soil carbon are discussed.A Global Positioning System(GPS)device and softwares required to simultaneously acquire gamma signals and geographical positions during scanning operations were added to an existing measurement system.The reliability of soil carbon measurements in scanning mode was demonstrated to be in agreement with results acquired from static mode.The error analysis indicated that scanning measurements can be conducted with the same accuracy as static measurements in approximately one fourth the time.To obtain results suitable for mapping analogous to traditional chemical analyses(i.e.,±0.5 in weight percent or±0.5 w%),scanning time over a given site should be ca.15 min using the current measurement system configuration.Based on this measurement time,a reasonable towing speed of 3–5 km h^-1,the necessity for complete site coverage during scanning,the number of sites(within the surveyed field),and the required total measurement time can be estimated.Soil carbon measurements for 28 field sites(total area ca.2.5 ha)were conducted in ca.8 h.Based on acquired data,a soil carbon distribution map was constructed utilizing various softwares.The surveyed field area included an asphalt road that had carbon readings higher than the surrounding land.The clarity with which these carbon-rich zones were delineated on the constructed map represents evidence supporting the veracity of this method.Neutron-gamma analysis technology can greatly facilitate timely construction of soil carbon maps.展开更多
In this study,the three-windows method,the jump-ratio method and the R-map method in energy-filtered transmission electron microscopy(EFTEM) have been applied to mapping carbon distribution in 35SiMn steel after a que...In this study,the three-windows method,the jump-ratio method and the R-map method in energy-filtered transmission electron microscopy(EFTEM) have been applied to mapping carbon distribution in 35SiMn steel after a quenching-partitioning treatment.The carbon contamination is successfully suppressed by using EFTEM and plasma-cleaning TEM samples.Compared to the three-windows method and the jump-ratio method,the R-map method provides carbon distribution with less noises,and is insensitive to changes in sample thickness.We have demonstrated that the R-map method is a better way for carbon mapping in middle-carbon steel without the influence of carbon contamination.展开更多
Based on the high frequency （HF） integrated radar cross section （RCS） calculation approach, a technique of detecting major scattering source is developed by using an appropriate arithmetic for scattering distribut...Based on the high frequency （HF） integrated radar cross section （RCS） calculation approach, a technique of detecting major scattering source is developed by using an appropriate arithmetic for scattering distribution and scattering source detection. For the perfect adaptability to targets and the HF of the HF integrated RCS calculation platform, this technique is suitable to solve large complex targets and has lower requirement to the target modeling. A comparison with the result of 2-D radar imaging confirms the accuracy and reliability of this technique in recognition of the major scattering source on complex targets. This technique provides the foundation for rapid integrated evaluation of the scattering performance and 3-D scattering model reconstruction of large complex targets.展开更多
This paper presents a case study on structure design and establishment of database application system for alien species in Shandong Province, integrating with Geographic Information System, computer network, and datab...This paper presents a case study on structure design and establishment of database application system for alien species in Shandong Province, integrating with Geographic Information System, computer network, and database technology to the research of alien species. The modules of alien species database, including classified data input, statistics and analysis, species pictures and distribution maps, and out date input, were approached by Visual Studio.net 2003 and Microsoft SQL server 2000. The alien species information contains the information of classification, species distinction characteristics, biological characteristics, original area, distribution area, the entering fashion and route, invasion time, invasion reason, interaction with the endemic species, growth state, danger state and spatial information, i.e. distribution map. Based on the above bases, several models including application, checking, modifying, printing, adding and returning models were developed. Furthermore, through the establishment of index tables and index maps, we can also spatially query the data like picture, text and GIS map data. This research established the technological platform of sharing information about scientific resource of alien species in Shandong Province, offering the basis for the dynamic inquiry of alien species, the warning technology of prevention and the fast reaction system. The database application system possessed the principles of good practicability, friendly user interface and convenient usage. It can supply full and accurate information inquiry services of alien species for the users and provide functions of dynamically managing the database for the administrator.展开更多
The geochemistry of magnetite provides constraints on the source(s) of the magnetite and other ore minerals. In this study, we constructed a magnetite distribution map, compared the chemical composition of magnetite p...The geochemistry of magnetite provides constraints on the source(s) of the magnetite and other ore minerals. In this study, we constructed a magnetite distribution map, compared the chemical composition of magnetite present in hard rocks with that present in sand beach and stream deposits to determine magnetite’s provenance,investigated relationships among different trace elements,examined variations in the concentrations of trace elements present in magnetite, and identified the type of studied magnetite. Laser ablation inductively coupled plasma mass spectrometry(LA-ICP-MS) and inductively coupled plasma mass spectrometry/inductively coupled plasma atomic emission spectroscopy was used to analyze samples available in small and large amounts, respectively. The average magnetite compositions of beach and river samples were substantially similar to those of andesite rocks,revealing that the magnetite samples may have originated from surrounding andesite rocks;this finding is consistent with the chemical composition of the samples analyzed using LA-ICP-MS. Some of the andesite rocks found in the study area were the primary source of magnetite aggregations in the beach sands and stream sands near or slightly away from these rocks. High Ti–V magnetites lie within the fields of Fe–Ti–V bearing magnetite and titanomagnetite(ulv?spinel). These titanomagnetites may be undergoing transformation to spinel minerals such as galaxite,gahnite, magnesiochromite, and chromite, which are characterized by the high concentrations of Al, Ti, Mg, Cr,Ni, Mn, and Zn. The positive correlation between Fe and Ti, Cr and Ni, and also the negative correlation between Fe and Mg, Mn and Zn can be attributed to various magnetite phases present in the study area. V, Co, Mo, Nb, Ga, Sn,and Ta exhibited a positive correlation with Fe and a negative correlation with Al. The positive correlation between Fe and these elements indicates the enrichment of these elements in the magnetite series. We observed a negative correlation between Fe and Li, Rb, Ca, Ba, Sr, Cu,Cd, Sb, As, Sc, Y, REE, U, and Th. A positive correlation between Al and these elements indicates the enrichment of these elements in the spinel series.展开更多
Black soils, characterized by their thick, dark horizons enriched with organic matter, epitomize highly fertile soils. However, their fertility precipitates intense land use, engendering challenges such as soil erosio...Black soils, characterized by their thick, dark horizons enriched with organic matter, epitomize highly fertile soils. However, their fertility precipitates intense land use, engendering challenges such as soil erosion, nutrient depletion, pollution, compaction, salinization, and acidification. Notably, these soils are significant contributors to global greenhouse gas emissions, primarily due to substantial losses in soil organic carbon. Despite these challenges, black soils are pivotal for global food production. This paper delineates the implementation of digital soil mapping for the global cartography of black soils and human interference on these soils. Predominantly distributed in Eastern Europe, Central and Eastern Asia, and North and South America, black soils cover an approximate area of 725 Mha, with the Russian Federation,Kazakhstan, and China collectively have over half of this area. Agriculturally,these soils underpin significant proportions of global crop yields, producing 66% of sunflower, 30% of wheat, and 26% of potato outputs. The organic carbon content in the upper 30 cm of these soils is estimated at 56 Gt.Sustainable management of black soils is imperative for ensuring food security and addressing climate change on a global scale.展开更多
Based on the principle that the adaptation can be reflected by the overlap of reflectance distribution peaks,the effect of various types mixed coal for coking is analyzed.Based on the action of the vitrinite of differ...Based on the principle that the adaptation can be reflected by the overlap of reflectance distribution peaks,the effect of various types mixed coal for coking is analyzed.Based on the action of the vitrinite of different reflectance range and the adaptation,a new method for guidance blending coal is established.Through simulation,blending coal using the software of HD automatic microscope photometer,makes the synthetic blending coal reflectance distribution map to nothing notch wide single peak flat-shaped symmetrical distribution,blending coal random reflectance meets 1.1 - 1.2,the standard deviation meets 0.35 - 0.4.It is based on the conditions that active component in the blending is excessive.Using this method,the mixed coal can be used as much as possible and play a positive role.The problem about implementation process is discussed.展开更多
The South China Sea(SCS),as one of the Earth's largest marginal seas,provides an ideal location for investigating turbidity currents(TC)and turbidites.Frequent TC activities in the area have been evidenced through...The South China Sea(SCS),as one of the Earth's largest marginal seas,provides an ideal location for investigating turbidity currents(TC)and turbidites.Frequent TC activities in the area have been evidenced through in-situ measurements,damage records to seabed infrastructure,and mapping the distribution of plastic litter(Note S1 online).展开更多
The accuracy of detecting the chlorophyll content in the canopy and leaves of citrus plants based on sensors with different scales and prediction models was investigated for the establishment of an easy and highly-eff...The accuracy of detecting the chlorophyll content in the canopy and leaves of citrus plants based on sensors with different scales and prediction models was investigated for the establishment of an easy and highly-efficient real-time nutrition diagnosis technology in citrus orchards.The fluorescent values of leaves and canopy based on the Multiplex 3.6 sensor,canopy hyperspectral reflectance data based on the FieldSpec4 radiometer and spectral reflectance based on low-altitude multispectral remote sensing were collected from leaves of Shatang mandarin and then analyzed.Additionally,the associations of the leaf SPAD(soil and plant analyzer development)value with the ratio vegetation index(RVI)and normalized differential vegetation index(NDVI)were analyzed.The leaf SPAD value predictive model was established by means of univariate and multiple linear regressions and the partial least squares method.Variable distribution maps of the relative canopy chlorophyll content based on spectral reflectance in the orchard were automatically created.The results showed that the correlations of the SPAD values obtained from the Multiplex 3.6 sensor,FieldSpec4 radiometer and low-altitude multispectral remote sensing were highly significant.The measures of goodness of fit of the predictive models were R^(2)=0.7063,RMSECV=3.7892,RE=5.96%,and RMSEP=3.7760 based on RVI_((570/800)) and R^(2)=0.7343,RMSECV=3.6535,RE=5.49%,and RMSEP=3.3578 based on NDVI[(570,800)(570,950)(700,840)].The technique to create spatial distribution maps of the relative canopy chlorophyll content in the orchard was established based on sensor information that directly reflected the chlorophyll content of the plants in different parts of the orchard,which in turn provides evidence for implementation of orchard productivity evaluation and precision in fertilization management.展开更多
Due to intensive genetic selection for rapid growth rates and high broiler yields in recent years,the global poultry industry has faced a challenging problem in the form of woody breast(WB)conditions.This condition ha...Due to intensive genetic selection for rapid growth rates and high broiler yields in recent years,the global poultry industry has faced a challenging problem in the form of woody breast(WB)conditions.This condition has caused significant economic losses as high as s200 million annually,and the root cause of WB has yet to be identified.Human palpation is the most common method of distinguishing a WB from others.However,this method is time-consuming and subjective.Hyperspectral imaging(HSI)combined with machine learning algorithms can evaluate the WB conditions of fllets in a non-invasive,objective,and high-throughput manner.In this study,250 raw chicken breast fllet samples(normal,mild,severe)were taken,and spatially heterogeneous hardness distribution was first considered when designing HSI processing models.The study not only classified the WB levels from HSI but also built a regression model to correlate the spectral information with sample hardness data.To achieve a satisfactory classification and regression model,a neural network architecture search(NAS)enabled a wide-deep neural network model named NAS-WD,which was developed.In NAS-WD,NAS was first used to automatically optimize the network architecture and hyperparameters.The classification results show that NAS-WD can classify the three WB levels with an overall accuracy of 95%,outperforming the traditional machine learning model,and the regression correlation between the spectral data and hardness was 0.75,which performs significantly better than traditional regression models.展开更多
For the reasonable and effective collection of Ophiocordyceps sinensis,a new method of on-site identification was attempted using a portable multispectral imaging(MSI)technique.Three dimensional(3D)data-cubes of repre...For the reasonable and effective collection of Ophiocordyceps sinensis,a new method of on-site identification was attempted using a portable multispectral imaging(MSI)technique.Three dimensional(3D)data-cubes of representative Ophiocordyceps sinensis and weeds samples were acquired and pre-processed with standard normal variate transformation(SNV).Principal component analysis(PCA)and simulated annealing particle swarm optimisation(SAPSO)algorithms were used to extract characteristic images and develop the support vector classification(SVC)models.Results show that the fused feature model of SAPSO-SVC has the best performance,resulting in a recognition accuracy of the prediction set of 96.30%.Moreover,on-site distribution map of Ophiocordyceps sinensis and weeds was created using the spectral feature model of SAPSO-SVC,and the target could be easily identified from the distribution map.This work demonstrates the potential for on-site identification of Ophiocordyceps sinensis in the Qinghai-Tibet Plateau using a portable MSI technique combined with the SAPSO-SVC algorithm.展开更多
A newly proposed distributed dynamic state estimation algorithm based on the maximum a posteriori(MAP) technique is generalised and studied for power systems. The system model involves linear time-varying load dynamic...A newly proposed distributed dynamic state estimation algorithm based on the maximum a posteriori(MAP) technique is generalised and studied for power systems. The system model involves linear time-varying load dynamics and nonlinear measurements. The main contribution of this paper is to compare the performance and feasibility of this distributed algorithm with several existing distributed state estimation algorithms in the literature. Simulations are tested on the IEEE 39-bus and 118-bus systems under various operating conditions. The results show that this distributed algorithm performs better than distributed quasi-steady state estimation algorithms which do not use the load dynamic model. The results also show that the performance of this distributed method is very close to that by the centralized state estimation method. The merits of this algorithm over the centralized method lie in its low computational complexity and low communication load. Hence, the analysis supports the efficiency and benefits of the distributed algorithm in applications to large-scale power systems.展开更多
Flood control system risk evaluation is an effective measure for flood risk management and decisions.In order to make better flood risk decisions and thereby improve social and economic benefits,the flood control risk...Flood control system risk evaluation is an effective measure for flood risk management and decisions.In order to make better flood risk decisions and thereby improve social and economic benefits,the flood control risk evaluation index system should be built to quantify and normalize flood risk effectively and efficiently.Because the current evaluation index has the binary miscibility characteristic of fuzziness and clarity,this paper establishes a new flood control system risk evaluation method based on the theory of variable sets(VS).Through a comparison of flood control risk evaluation with variable fuzzy sets(VFS) in the same basin flood control system risk evaluation,it is revealed that the new method,i.e.,flood control risk evaluation with variable fuzzy/clear mixture sets(variable sets),will be reasonable in all cases.Finally,in one case study,i.e.,the flood control system risk evaluation of Fengman Reservoir Basin,which is located in the southeast central of Jilin Province in China,the risk evaluation levels for each county in the basin as well as the whole flood risk distribution map of the basin could be provided with the new method.This provides useful information for basin flood control planning and design.展开更多
文摘Measurement of oxygen concentration and distribution in brain is essential to understanding the pathophysiology of stroke. Although brain oxygen level is critical for brain tissue survival,
基金Australian Research Council(ARC)for the financial support of this work(Grant No.DP190103592)funded by ARC grants LE110100223(FEI F20),LE0454166(FEI Titan3),LE170100118(Thermo Scientific Spectra-φ),and LE200100132(Thermo Scientific Helios)。
文摘Determining the distribution of alloying elements,particularly lithium,is crucial for a holistic understanding of magnesium-lithium-based alloys.In this work,a bespoke ratio spectrum-imaging method based on electron energy-loss spectroscopy,in combination with time-of-flight secondary ion mass spectrometry,energy-dispersive X-ray spectroscopy and Z-contrast imaging,was applied to an as-rolled LAZ941 alloy(Mg-9Li-4Al-1Zn in wt.%).This was done to characterize the distribution of alloying elements,including the distribution of solute in the magnesium matrix.The applications of different mapping techniques revealed that precipitates with two different morphologies are rich in Li,Al and Zn,compared to their surrounding matrix.Additionally,it was confirmed that theβ-phase of the alloy contains higher Li and lower Mg concentrations when compared to theα-phase.This study demonstrated the effectiveness and accuracy of the ratio spectrum-imaging method for mapping the elemental distribution(including lithium)in a range of Li-containing materials.
基金the University Grants Council of Hong Kong and its Area of Excellence Program to PJH. KF was supported by a JSPS grant on the ecophysiology of green Noctiluca in the Gulf of Thailand. PMG received funding from NSF （No. OCE-1015980）This is contribution number 4502 from the University of Maryland Center for Environmental Studies. KY Acknowledges Support from the CAS/SAFEA International Partnership Program for Creative Research Teams （No. KZCXZYW-T001）. DMA received partial funding through the NSF/NIEHS Centers for Oceans and Human Health （No. NIEHS P50 ES012742, NSF OCE- 043072 and OCE-0911031）, and through NSF Grant （No. OCE-0850421）+1 种基金 This paper is based on work partially supported by SCOR/LOICZ Working Group 132, supported by the Scientific Committee on Oceanographic Research （SCOR） through grants from the U.S. National Science Foundation （No OCE-0938349 and OCE-0813697） from the Land-Ocean Interactions in the Coastal Zone （LOICZ） Project and the Chinese Academy of Sciences. We thank A. KANA for assistance with the GIS produced maps and LIU Hao for his assistance with the tables and references.
文摘The dinoflagellate Noctiluca scintillans is one of the most important and abundant red tide organisms and it is distributed world-wide. It occurs in two forms. Red Noctiluca is heterotrophic and fills the role of one of the microzooplankton grazers in the foodweb. In contrast, green Noctiluca contains a photosynthetic symbiont Pedinomonas noctilucae （a prasinophyte）, but it also feeds on other plankton when the food supply is abundant. In this review, we document the global distribution of these two forms and include the first maps of their global distribution. Red Noctiluca occurs widely in the temperate to sub-tropical coastal regions of the world. It occurs over a wide temperature range of about 10℃ to 25℃ and at higher salinities （generally not in estuaries）. It is particularly abundant in high productivity areas such as upwelling or eutrophic areas where diatoms dominate since they are its preferred food source. Green Noctiluca is much more restricted to a temperature range of 25℃-30℃ and mainly occurs in tropical waters of Southeast Asia, Bay of Bengal （east coast of India）, in the eastern, western and northern Arabian Sea, the Red Sea, and recently it has become very abundant in the Gulf of Oman. Red and green Noctiluca do overlap in their distribution in the eastern, northern and western Arabian Sea with a seasonal shift from green Noctiluca in the cooler winter convective mixing, higher productivity season, to red Noctiluca in the more oligotrophic warmer summer season.
基金supported by the National Institute of Food and Agriculture(NIFA)Research Grant(No.ALA2016-67021-24417)“Precision geospatial mapping of soil carbon content for agricultural productivity and lifecycle management”
文摘Soil carbon mapping is extremely useful in assessing the effect of land management practices on soil carbon storage.Applications of neutron-gamma analysis in scanning mode for mapping of soil carbon are discussed.A Global Positioning System(GPS)device and softwares required to simultaneously acquire gamma signals and geographical positions during scanning operations were added to an existing measurement system.The reliability of soil carbon measurements in scanning mode was demonstrated to be in agreement with results acquired from static mode.The error analysis indicated that scanning measurements can be conducted with the same accuracy as static measurements in approximately one fourth the time.To obtain results suitable for mapping analogous to traditional chemical analyses(i.e.,±0.5 in weight percent or±0.5 w%),scanning time over a given site should be ca.15 min using the current measurement system configuration.Based on this measurement time,a reasonable towing speed of 3–5 km h^-1,the necessity for complete site coverage during scanning,the number of sites(within the surveyed field),and the required total measurement time can be estimated.Soil carbon measurements for 28 field sites(total area ca.2.5 ha)were conducted in ca.8 h.Based on acquired data,a soil carbon distribution map was constructed utilizing various softwares.The surveyed field area included an asphalt road that had carbon readings higher than the surrounding land.The clarity with which these carbon-rich zones were delineated on the constructed map represents evidence supporting the veracity of this method.Neutron-gamma analysis technology can greatly facilitate timely construction of soil carbon maps.
基金supported by the National Basic Research Program of China(Grant Nos.2010CB630800 and 2009CB623701)National Natural Science Foundation of China(Grant No.51001064)+1 种基金the Innovation Method Program(Grant No.2010IM031300)Specialized Research Fund for the Doctoral Program of Higher Education of China(Grant No. 20100002120047)
文摘In this study,the three-windows method,the jump-ratio method and the R-map method in energy-filtered transmission electron microscopy(EFTEM) have been applied to mapping carbon distribution in 35SiMn steel after a quenching-partitioning treatment.The carbon contamination is successfully suppressed by using EFTEM and plasma-cleaning TEM samples.Compared to the three-windows method and the jump-ratio method,the R-map method provides carbon distribution with less noises,and is insensitive to changes in sample thickness.We have demonstrated that the R-map method is a better way for carbon mapping in middle-carbon steel without the influence of carbon contamination.
基金supported by the National Natural Science Foundation of China (Grant No.90305026)
文摘Based on the high frequency （HF） integrated radar cross section （RCS） calculation approach, a technique of detecting major scattering source is developed by using an appropriate arithmetic for scattering distribution and scattering source detection. For the perfect adaptability to targets and the HF of the HF integrated RCS calculation platform, this technique is suitable to solve large complex targets and has lower requirement to the target modeling. A comparison with the result of 2-D radar imaging confirms the accuracy and reliability of this technique in recognition of the major scattering source on complex targets. This technique provides the foundation for rapid integrated evaluation of the scattering performance and 3-D scattering model reconstruction of large complex targets.
基金this study was supported by the Key Project of Natu-ral Science Foundation of Shandong Province(No. Z2003D05)Key Project of Environmental Protection Science of Shandong Province(No. 2004057)Outstanding Young Scientists Grants of Shandong Province(No.2005BS08010),China
文摘This paper presents a case study on structure design and establishment of database application system for alien species in Shandong Province, integrating with Geographic Information System, computer network, and database technology to the research of alien species. The modules of alien species database, including classified data input, statistics and analysis, species pictures and distribution maps, and out date input, were approached by Visual Studio.net 2003 and Microsoft SQL server 2000. The alien species information contains the information of classification, species distinction characteristics, biological characteristics, original area, distribution area, the entering fashion and route, invasion time, invasion reason, interaction with the endemic species, growth state, danger state and spatial information, i.e. distribution map. Based on the above bases, several models including application, checking, modifying, printing, adding and returning models were developed. Furthermore, through the establishment of index tables and index maps, we can also spatially query the data like picture, text and GIS map data. This research established the technological platform of sharing information about scientific resource of alien species in Shandong Province, offering the basis for the dynamic inquiry of alien species, the warning technology of prevention and the fast reaction system. The database application system possessed the principles of good practicability, friendly user interface and convenient usage. It can supply full and accurate information inquiry services of alien species for the users and provide functions of dynamically managing the database for the administrator.
文摘The geochemistry of magnetite provides constraints on the source(s) of the magnetite and other ore minerals. In this study, we constructed a magnetite distribution map, compared the chemical composition of magnetite present in hard rocks with that present in sand beach and stream deposits to determine magnetite’s provenance,investigated relationships among different trace elements,examined variations in the concentrations of trace elements present in magnetite, and identified the type of studied magnetite. Laser ablation inductively coupled plasma mass spectrometry(LA-ICP-MS) and inductively coupled plasma mass spectrometry/inductively coupled plasma atomic emission spectroscopy was used to analyze samples available in small and large amounts, respectively. The average magnetite compositions of beach and river samples were substantially similar to those of andesite rocks,revealing that the magnetite samples may have originated from surrounding andesite rocks;this finding is consistent with the chemical composition of the samples analyzed using LA-ICP-MS. Some of the andesite rocks found in the study area were the primary source of magnetite aggregations in the beach sands and stream sands near or slightly away from these rocks. High Ti–V magnetites lie within the fields of Fe–Ti–V bearing magnetite and titanomagnetite(ulv?spinel). These titanomagnetites may be undergoing transformation to spinel minerals such as galaxite,gahnite, magnesiochromite, and chromite, which are characterized by the high concentrations of Al, Ti, Mg, Cr,Ni, Mn, and Zn. The positive correlation between Fe and Ti, Cr and Ni, and also the negative correlation between Fe and Mg, Mn and Zn can be attributed to various magnetite phases present in the study area. V, Co, Mo, Nb, Ga, Sn,and Ta exhibited a positive correlation with Fe and a negative correlation with Al. The positive correlation between Fe and these elements indicates the enrichment of these elements in the magnetite series. We observed a negative correlation between Fe and Li, Rb, Ca, Ba, Sr, Cu,Cd, Sb, As, Sc, Y, REE, U, and Th. A positive correlation between Al and these elements indicates the enrichment of these elements in the spinel series.
文摘Black soils, characterized by their thick, dark horizons enriched with organic matter, epitomize highly fertile soils. However, their fertility precipitates intense land use, engendering challenges such as soil erosion, nutrient depletion, pollution, compaction, salinization, and acidification. Notably, these soils are significant contributors to global greenhouse gas emissions, primarily due to substantial losses in soil organic carbon. Despite these challenges, black soils are pivotal for global food production. This paper delineates the implementation of digital soil mapping for the global cartography of black soils and human interference on these soils. Predominantly distributed in Eastern Europe, Central and Eastern Asia, and North and South America, black soils cover an approximate area of 725 Mha, with the Russian Federation,Kazakhstan, and China collectively have over half of this area. Agriculturally,these soils underpin significant proportions of global crop yields, producing 66% of sunflower, 30% of wheat, and 26% of potato outputs. The organic carbon content in the upper 30 cm of these soils is estimated at 56 Gt.Sustainable management of black soils is imperative for ensuring food security and addressing climate change on a global scale.
文摘Based on the principle that the adaptation can be reflected by the overlap of reflectance distribution peaks,the effect of various types mixed coal for coking is analyzed.Based on the action of the vitrinite of different reflectance range and the adaptation,a new method for guidance blending coal is established.Through simulation,blending coal using the software of HD automatic microscope photometer,makes the synthetic blending coal reflectance distribution map to nothing notch wide single peak flat-shaped symmetrical distribution,blending coal random reflectance meets 1.1 - 1.2,the standard deviation meets 0.35 - 0.4.It is based on the conditions that active component in the blending is excessive.Using this method,the mixed coal can be used as much as possible and play a positive role.The problem about implementation process is discussed.
基金supported by the National Key Research and Development Program of China(2022YFF0800503)the National Natural Science Foundation of China(91028003,41676029,and 41876049).1。
文摘The South China Sea(SCS),as one of the Earth's largest marginal seas,provides an ideal location for investigating turbidity currents(TC)and turbidites.Frequent TC activities in the area have been evidenced through in-situ measurements,damage records to seabed infrastructure,and mapping the distribution of plastic litter(Note S1 online).
基金supported by the China National Key Research and Development Project(2016YFD0200703)the China National Science&Technology Support Program(2014BAD16B0103)+1 种基金the China Chongqing Science&Technology Support&Demonstration Project(CSTC2014fazktpt80015)the Jiangxi Province 2011 Collaborative Innovation Special Funds“Co-Innovation Center of the South China Mountain Orchard Intelligent Management Technology and Equipment”(Jiangxi Finance Refers to[2014]No.156).
文摘The accuracy of detecting the chlorophyll content in the canopy and leaves of citrus plants based on sensors with different scales and prediction models was investigated for the establishment of an easy and highly-efficient real-time nutrition diagnosis technology in citrus orchards.The fluorescent values of leaves and canopy based on the Multiplex 3.6 sensor,canopy hyperspectral reflectance data based on the FieldSpec4 radiometer and spectral reflectance based on low-altitude multispectral remote sensing were collected from leaves of Shatang mandarin and then analyzed.Additionally,the associations of the leaf SPAD(soil and plant analyzer development)value with the ratio vegetation index(RVI)and normalized differential vegetation index(NDVI)were analyzed.The leaf SPAD value predictive model was established by means of univariate and multiple linear regressions and the partial least squares method.Variable distribution maps of the relative canopy chlorophyll content based on spectral reflectance in the orchard were automatically created.The results showed that the correlations of the SPAD values obtained from the Multiplex 3.6 sensor,FieldSpec4 radiometer and low-altitude multispectral remote sensing were highly significant.The measures of goodness of fit of the predictive models were R^(2)=0.7063,RMSECV=3.7892,RE=5.96%,and RMSEP=3.7760 based on RVI_((570/800)) and R^(2)=0.7343,RMSECV=3.6535,RE=5.49%,and RMSEP=3.3578 based on NDVI[(570,800)(570,950)(700,840)].The technique to create spatial distribution maps of the relative canopy chlorophyll content in the orchard was established based on sensor information that directly reflected the chlorophyll content of the plants in different parts of the orchard,which in turn provides evidence for implementation of orchard productivity evaluation and precision in fertilization management.
基金support by the University of Arkansas Experimental Station and the University of Arkansas College of Engineering,USDA National Institute of Food and Agriculture (No:2023-70442-39232,2024-67022-42882).
文摘Due to intensive genetic selection for rapid growth rates and high broiler yields in recent years,the global poultry industry has faced a challenging problem in the form of woody breast(WB)conditions.This condition has caused significant economic losses as high as s200 million annually,and the root cause of WB has yet to be identified.Human palpation is the most common method of distinguishing a WB from others.However,this method is time-consuming and subjective.Hyperspectral imaging(HSI)combined with machine learning algorithms can evaluate the WB conditions of fllets in a non-invasive,objective,and high-throughput manner.In this study,250 raw chicken breast fllet samples(normal,mild,severe)were taken,and spatially heterogeneous hardness distribution was first considered when designing HSI processing models.The study not only classified the WB levels from HSI but also built a regression model to correlate the spectral information with sample hardness data.To achieve a satisfactory classification and regression model,a neural network architecture search(NAS)enabled a wide-deep neural network model named NAS-WD,which was developed.In NAS-WD,NAS was first used to automatically optimize the network architecture and hyperparameters.The classification results show that NAS-WD can classify the three WB levels with an overall accuracy of 95%,outperforming the traditional machine learning model,and the regression correlation between the spectral data and hardness was 0.75,which performs significantly better than traditional regression models.
基金This work was funded by the Fundamental Research Funds for the Central Universities(2017TC016)and the National Key Research and Development Program of China(2016YFE0112800).
文摘For the reasonable and effective collection of Ophiocordyceps sinensis,a new method of on-site identification was attempted using a portable multispectral imaging(MSI)technique.Three dimensional(3D)data-cubes of representative Ophiocordyceps sinensis and weeds samples were acquired and pre-processed with standard normal variate transformation(SNV).Principal component analysis(PCA)and simulated annealing particle swarm optimisation(SAPSO)algorithms were used to extract characteristic images and develop the support vector classification(SVC)models.Results show that the fused feature model of SAPSO-SVC has the best performance,resulting in a recognition accuracy of the prediction set of 96.30%.Moreover,on-site distribution map of Ophiocordyceps sinensis and weeds was created using the spectral feature model of SAPSO-SVC,and the target could be easily identified from the distribution map.This work demonstrates the potential for on-site identification of Ophiocordyceps sinensis in the Qinghai-Tibet Plateau using a portable MSI technique combined with the SAPSO-SVC algorithm.
基金supported by the National Natural Science Foundation of China under Grant Nos.61120106011,61573221,61633014National Key Technology Support Program of China under Grant No.2014BAF07B03
文摘A newly proposed distributed dynamic state estimation algorithm based on the maximum a posteriori(MAP) technique is generalised and studied for power systems. The system model involves linear time-varying load dynamics and nonlinear measurements. The main contribution of this paper is to compare the performance and feasibility of this distributed algorithm with several existing distributed state estimation algorithms in the literature. Simulations are tested on the IEEE 39-bus and 118-bus systems under various operating conditions. The results show that this distributed algorithm performs better than distributed quasi-steady state estimation algorithms which do not use the load dynamic model. The results also show that the performance of this distributed method is very close to that by the centralized state estimation method. The merits of this algorithm over the centralized method lie in its low computational complexity and low communication load. Hence, the analysis supports the efficiency and benefits of the distributed algorithm in applications to large-scale power systems.
基金supported by the National Natural Science Foundation of China(Grant Nos.91547111,51379027&51409043)Natural Science Foundation of Liaoning Province(Grant No.2015020608)National Science and Technology Pillar Program during the Twelfth Five-year Plan Period(Grant No.2015BAB07B03)
文摘Flood control system risk evaluation is an effective measure for flood risk management and decisions.In order to make better flood risk decisions and thereby improve social and economic benefits,the flood control risk evaluation index system should be built to quantify and normalize flood risk effectively and efficiently.Because the current evaluation index has the binary miscibility characteristic of fuzziness and clarity,this paper establishes a new flood control system risk evaluation method based on the theory of variable sets(VS).Through a comparison of flood control risk evaluation with variable fuzzy sets(VFS) in the same basin flood control system risk evaluation,it is revealed that the new method,i.e.,flood control risk evaluation with variable fuzzy/clear mixture sets(variable sets),will be reasonable in all cases.Finally,in one case study,i.e.,the flood control system risk evaluation of Fengman Reservoir Basin,which is located in the southeast central of Jilin Province in China,the risk evaluation levels for each county in the basin as well as the whole flood risk distribution map of the basin could be provided with the new method.This provides useful information for basin flood control planning and design.
