Since whole-genome sequencing of many crops has been achieved,crop functional genomics studies have stepped into the big-data and high-throughput era.However,acquisition of large-scale phenotypic data has become one o...Since whole-genome sequencing of many crops has been achieved,crop functional genomics studies have stepped into the big-data and high-throughput era.However,acquisition of large-scale phenotypic data has become one of the major bottlenecks hindering crop breeding and functional genomics studies.Nevertheless,recent technological advances provide us potential solutions to relieve this bottleneck and to explore advanced methods for large-scale phenotyping data acquisition and processing in the coming years.In this article,we review the major progress on high-throughput phenotyping in controlled environments and field conditions as well as its use for post-harvest yield and quality assessment in the past decades.We then discuss the latest multi-omics research combining high-throughput phenotyping with genetic studies.Finally,we propose some conceptual challenges and provide our perspectives on how to bridge the phenotype-genotype gap.It is no doubt that accurate high-throughput phenotyping will accelerate plant genetic improvements and promote the next green revolution in crop breeding.展开更多
Aluminum alloys are the potential materials in the automobile and aerospace sectors due to their lower density,easy forming and excellent corrosion resistance.The demand of high strength-to-weight ratio materials in s...Aluminum alloys are the potential materials in the automobile and aerospace sectors due to their lower density,easy forming and excellent corrosion resistance.The demand of high strength-to-weight ratio materials in structural applications needs the engineering industries to seek aluminum alloy with new versions of hard and brittle ceramic particles.The microstructure,hardness,wear and corrosion behaviors of AA7075 composites with 2.5wt.%and 5wt.%TiC particles were studied.Microscopic analysis is evident that the transformation of the strong dendritic morphology to non-dendritic morphology on the incorporation of TiC into AA7075.Furthermore,the precipitation of the second-phase compounds such as Al_(2)CuMg,Al_(2)Cu andFe-rich Al_6(Cu,Fe)/Al_(7)Cu_(2)Fe)is promoted by TiC particles at inter-and intra-dendritic regions.Accordingly,the hardness of composites is improved by grain boundary strengthening and particulate strengthening mechanisms.Both coefficient of friction and wear rate have an inverse relation with TiC concentration.The base alloy without TiC shows adhesive-type wear-induced deformation due to the formation of an oxide film,while composite samples exhibit a mechanically mixed layer and abrasive-type wear behavior.Composite samples shows a higher corrosion rate due to the presence of numerous precipitates which promote pitting corrosion.展开更多
Improvement of mechanical and tribological behaviors of zinc-based die cast alloy is necessary for bearing applications,and chemical modification is found to be a good choice.Chemical modification of Zn-27wt.%Al alloy...Improvement of mechanical and tribological behaviors of zinc-based die cast alloy is necessary for bearing applications,and chemical modification is found to be a good choice.Chemical modification of Zn-27wt.%Al alloy was carried out with 1%,2%and 3%nickel through casting route,and its effect on microstructure,hardness,and dry sliding wear behavior was investigated.Significant refinement of dendritic microstructure is observed along with a transformation from rosette to near rounded morphology with the increase in nickel content of base alloy.With 1%nickel modification,an aluminum-rich Al_(3)Ni intermetallic compound of string type forms in inter dendritic region,while with 2%and 3%nickel modifications,a nickel-rich AlNi3 intermetallic compound of lath/plate type is formed within the intra dendritic region.Hardness of the base alloy is improved through grain boundary strengthening at a lower concentration of nickel,and particulate strengthening and spinodal decomposition are the reason for increase in hardness of the alloy with a higher content of nickel.Coefficient of friction and wear rate of base alloy is decreased with increasing nickel amount.Worn surface is characterized by delamination,smearing and grooving.The wear mechanism is transferred from adhesion to abrasive via oxide film formation with an increase in amount of nickel.展开更多
Agricultural innovation is important for the green transformation of agriculture.Based on the perspective of technology transformation,this paper builds a theoretical analysis framework and evaluation index system for...Agricultural innovation is important for the green transformation of agriculture.Based on the perspective of technology transformation,this paper builds a theoretical analysis framework and evaluation index system for green efficiency of agricultural innovation,and discusses the evolution laws and influencing factors of the green efficiency of China’s agricultural innovation from 2005 to 2017 utilizing the DEA model,Malmquist index,and Tobit regression analysis.The results show that:1)The overall green efficiency of China’s agricultural innovation is not high,the green efficiency of agricultural innovation in eastern China is mainly driven by pure technical efficiency,while that in central and western China is mainly driven by the scale efficiency.The green efficiency of agricultural innovation shows significant spatial differences,and the low efficiency and relatively low-efficiency regions moved to central and southeastern China.2)Technical progress is the main force affecting the change of green total factor productivity of China’s agricultural innovation,seeing a trend of decrease followed by an increase.Pure technical efficiency and scale efficiency exhibit an increasing-decreasing trend,and gradually transform into key factors that restrict the improvement of the green total factor productivity of agricultural innovation.3)Agricultural technologies’diffusion,absorption,and implementation are three influencing factors of the green efficiency of agricultural innovation.The local level of informatization,the number of agricultural technicians in enterprises and institutions,average education level of residents,and the level of agricultural mechanization have positive impacts on the promotion of the green efficiency of agricultural innovation,promoting the diffusion,absorption and implementation of agricultural innovation technology can significantly improve the green efficiency of agricultural innovation.展开更多
Leptospirosis is a widespread zoonotic disease caused by pathogenic spirochetes of the genus Leptospira that infects humans and a wide range of animals. By combining computational prediction and high-accuracy tandem m...Leptospirosis is a widespread zoonotic disease caused by pathogenic spirochetes of the genus Leptospira that infects humans and a wide range of animals. By combining computational prediction and high-accuracy tandem mass spectra, we revised the genome annotation of Leptospira interrogans serovar Lai, a free-living pathogenic spirochete responsible for leptospirosis, providing substantial peptide evidence for novel genes and new gene boundaries. Subsequently, we presented a high-coverage proteome analysis of protein expression and multiple posttranslational modifications （PTMs）. Approximately 64.3% of the predicted L. interrogans proteins were cataloged by detecting 2 540 proteins. Meanwhile, a profile of multiple PTMs was concurrently established, containing in total 32 phosphorylated, 46 acetylated and 155 methylated proteins. The PTM systems in the serovar Lai show unique features. Unique eukaryotic-like features of L. interrogans protein modifications were demonstrated in both phosphorylation and arginine methylation. This systematic analysis provides not only comprehensive information of high-coverage protein expression and multiple modifications in prokaryotes but also a view suggesting that the evolutionarily primitive L. interrogans shares significant similarities in protein modification systems with eukaryotes.展开更多
The Yangtze River has been subject to heavy flooding throughout history, and in recent times severe floods such as those in 1998 have resulted in heavy loss of life and livelihoods. Dams along the river help to manage...The Yangtze River has been subject to heavy flooding throughout history, and in recent times severe floods such as those in 1998 have resulted in heavy loss of life and livelihoods. Dams along the river help to manage flood waters, and are important sources of electricity for the region. Being able to forecast high-impact events at long lead times therefore has enormous potential benefit. Recent improvements in seasonal forecasting mean that dynamical climate models can start to be used directly for operational services. The teleconnection from E1 Nifio to Yangtze River basin rainfall meant that the strong E1 Nifio in winter 2015/16 provided a valuable opportunity to test the application of a dynamical forecast system. This paper therefore presents a case study of a real-time seasonal forecast for the Yangtze River basin, building on previous work demonstrating the retrospective skill of such a forecast. A simple forecasting methodology is presented, in which the forecast probabilities are derived from the historical relationship between hindcast and observations. Its performance for 2016 is discussed. The heavy rainfall in the May-June-July period was correctly forecast well in advance. August saw anomalously low rainfall, and the forecasts for the June-July-August period correctly showed closer to average levels. The forecasts contributed to the confidence of decision-makers across the Yangtze River basin. Trials of climate services such as this help to promote appropriate use of seasonal forecasts, and highlight areas for future improvements.展开更多
Light-emitting diodes(LEDs)are key for the development of next-generation displays for ultra-high-definition television.Alternative materials beyond organic LEDs are required to meet the color purity standards,while r...Light-emitting diodes(LEDs)are key for the development of next-generation displays for ultra-high-definition television.Alternative materials beyond organic LEDs are required to meet the color purity standards,while retaining low processing cost and environmental friendliness.Liang and colleagues report in Advanced Science that two-dimensional(2D)tin halide perovskite—efficiently stabilized by H3PO2 incorporation—has great promise for ultra-pure red LEDs.展开更多
Emotional awareness, the ability to identify and describe one’s own emotions, and those of other people, has been widely studied in adult samples, while only few studies have been conducted during childhood. Aim of t...Emotional awareness, the ability to identify and describe one’s own emotions, and those of other people, has been widely studied in adult samples, while only few studies have been conducted during childhood. Aim of the present study was to investigate the predictability of the main variables usually associated with the study of emotional awareness. The LEAS-C was administered to a group of 781 children aged 8 to 13 years old. The results showed that both gender and verbal skills are important predictors of children’s emotional awareness. Moreover, cognitive ability and emotion recognition also predicted LEAS-C scores. Finally, age emerged as a significant predictor of the complexity of children’s emotional awareness. The assessment of children’s emotional awareness may be significant for different health-related purposes, e.g. prevention and psychological support.展开更多
Figs and fig pollinators are one of the few classic textbook examples of obligate pollination mutualism.The specific dependence of fig pollinators on the relatively safe living environment with sufficient food sources...Figs and fig pollinators are one of the few classic textbook examples of obligate pollination mutualism.The specific dependence of fig pollinators on the relatively safe living environment with sufficient food sources in the enclosed fig syconia implies that they are vulnerable to habitat changes.However,there is still no extensive genomic evidence to reveal the evolutionary footprint of this long-term mutually beneficial symbiosis in fig pollinators.In fig syconia,there are also non-pollinator species.The non-pollinator species differ in their evolutionary and life histories from pollinators.We conducted comparative analyses on 11 newly sequenced fig wasp genomes and one previously published genome.The pollinators colonized the figs approximately 66.9 million years ago,consistent with the origin of host figs.Compared with nonpollinators,many more genes in pollinators were subject to relaxed selection.Seven genes were absent in pollinators in response to environmental stress and immune activation.Pollinators had more streamlined gene repertoires in the innate immune system,chemosensory toolbox,and detoxification system.Our results provide genomic evidence for the differentiation between pollinators and nonpollinators.The data suggest that owing to the long-term adaptation to the fig,some genes related to functions no longer required are absent in pollinators.展开更多
A multi-dimensional conductive heterojunction structure,composited by TiO2,SnO2,and Ti3C2TX MXene,is facilely designed and applied as electron transport layer in efficient and stable planar perovskite solar cells.Base...A multi-dimensional conductive heterojunction structure,composited by TiO2,SnO2,and Ti3C2TX MXene,is facilely designed and applied as electron transport layer in efficient and stable planar perovskite solar cells.Based on an oxygen vacancy scramble effect,the zero-dimensional anatase TiO2 quantum dots,surrounding on two-dimensional conductive Ti3C2TX sheets,are in situ rooted on three-dimensional SnO2 nanoparticles,constructing nanoscale TiO2/SnO2 heterojunctions.The fabrication is implemented in a controlled lowtemperature anneal method in air and then in N2 atmospheres.With the optimal MXene content,the optical property,the crystallinity of perovskite layer,and internal interfaces are all facilitated,contributing more amount of carrier with effective and rapid transferring in device.The champion power conversion efficiency of resultant perovskite solar cells achieves 19.14%,yet that of counterpart is just 16.83%.In addition,it can also maintain almost 85%of its initial performance for more than 45 days in 30–40%humidity air;comparatively,the counterpart declines to just below 75%of its initial performance.展开更多
Chromophobe renal cell carcinoma(ChRCC)is the third most common renal cell carcinoma(RCC)subtype,which predominantly occurs in sporadic setting.ChRCCs are considered to originate from the intercalated cell of distal t...Chromophobe renal cell carcinoma(ChRCC)is the third most common renal cell carcinoma(RCC)subtype,which predominantly occurs in sporadic setting.ChRCCs are considered to originate from the intercalated cell of distal tubules with two main morphological variants,classic and eosinophilic.Most ChRCCs carry a favorable clinical outcome.Histology alone is limited in predicting the behavior of ChRCCs that do not have overtly aggressive morphologic findings such as necrosis and sarcomatoid features.Along with positive CD117 expression,classic ChRCCs generally express diffuse and uniform CK7,while eosinophilic variant demonstrates more heterogeneous CK7 expression(rare or patchy).Multiple losses of chromosomes 1,2,6,10,13,17,and 21 are considered to be the genetic hallmarks of classic and eosinophilic ChRCCs,while chromosomal gains are known to be associated with sarcomatoid ChRCCs.TP53 and PTEN are the two most frequently mutated genes in ChRCCs.The major challenge in the differential diagnosis of ChRCCs includes considerations around the eosinophilic variant(of ChRCCs),where it may share overlapping features with oncocytoma or other recent emergent oncocytic tumors.Most eosinophilic ChRCCs share expression of the recently described biomarkers,LINC01187 and FOXI1,with classic ChRCCs,however,a subset of eosinophilic-like ChRCCs with lower biomarker expression have been demonstrated to harbor MTOR gene mutations.Overall,the morphologic features of ChRCCs and genetic profile with combinations of chromosomal losses and gains suggest this tumor entity to represent a distinct,yet heterogeneous group of renal neoplasms.展开更多
The mission of classifying remote sensing pictures based on their contents has a range of applications in a variety of areas.In recent years,a lot of interest has been generated in researching remote sensing image sce...The mission of classifying remote sensing pictures based on their contents has a range of applications in a variety of areas.In recent years,a lot of interest has been generated in researching remote sensing image scene classification.Remote sensing image scene retrieval,and scene-driven remote sensing image object identification are included in the Remote sensing image scene understanding(RSISU)research.In the last several years,the number of deep learning(DL)methods that have emerged has caused the creation of new approaches to remote sensing image classification to gain major breakthroughs,providing new research and development possibilities for RS image classification.A new network called Pass Over(POEP)is proposed that utilizes both feature learning and end-to-end learning to solve the problem of picture scene comprehension using remote sensing imagery(RSISU).This article presents a method that combines feature fusion and extraction methods with classification algorithms for remote sensing for scene categorization.The benefits(POEP)include two advantages.The multi-resolution feature mapping is done first,using the POEP connections,and combines the several resolution-specific feature maps generated by the CNN,resulting in critical advantages for addressing the variation in RSISU data sets.Secondly,we are able to use Enhanced pooling tomake the most use of themulti-resolution feature maps that include second-order information.This enablesCNNs to better cope with(RSISU)issues by providing more representative feature learning.The data for this paper is stored in a UCI dataset with 21 types of pictures.In the beginning,the picture was pre-processed,then the features were retrieved using RESNET-50,Alexnet,and VGG-16 integration of architectures.After characteristics have been amalgamated and sent to the attention layer,after this characteristic has been fused,the process of classifying the data will take place.We utilize an ensemble classifier in our classification algorithm that utilizes the architecture of a Decision Tree and a Random Forest.Once the optimum findings have been found via performance analysis and comparison analysis.展开更多
Dear Editor,Circadian rhythms are driven by a complex,profoundly integrated network of clocks that maintain physiology and behaviors occurring at precise times and in the right order[1-3].Light,the most powerful zeitg...Dear Editor,Circadian rhythms are driven by a complex,profoundly integrated network of clocks that maintain physiology and behaviors occurring at precise times and in the right order[1-3].Light,the most powerful zeitgeber,entrains the central clock in the suprachiasmatic nucleus(SCN)via the retinohypothalamic tract with a precise 24-h rhythm in mammals[4,5].Due to irregular exposure to light conditions,such as an arrhythmic lifestyle,jet lag,and shift-work,circadian disturbance occurs quite often in modem societies and promotes a series of health problems such as obesity,depression,and neurodegenerative diseases[6,7].Thus,adjusting or resetting an arrhythmic circadian rhythm by using external cues has attracted wide attention[8].Notably,food-induced cues have been documented to have effects on certain circadian rhythms in rodents and humans[9,10].In nocturnal rodents,time-restricted feeding during the light phase can produce a rhythmic behavior prior to mealtime.展开更多
<i><span style="font-family:;" "="">Parkia biglobosa</span></i><span style="font-family:;" "=""> is a much-loved and over-exploited Afric...<i><span style="font-family:;" "="">Parkia biglobosa</span></i><span style="font-family:;" "=""> is a much-loved and over-exploited African savannah species for its socio-economic importance. Knowing and taking into account its architectural unit, which is the basis for diagnosing phenology, productivity and tree health, could provide a new perspective on its sustainable management. The aim of this study is to establish the architectural development in <i>Parkia biglobosa</i> by retrospective analysis. To achieve this objective, 390 individuals of all sizes ranging from seedlings to senescent trees were observed and analysed under various soil and climatic conditions in Côte d’Ivoire. The results showed that <i>Parkia biglobosa</i> is a light plant but shading tolerant. It is a mixed vegetative axis plant, the stem is orthotropic* in its proximal part and plagiotropic* (collapsing) in its distal part in young stage. The tree then transitions to an adult and old stage into a tree with a plagiotropic* axis in the proximal and distal parts, the trunk is built up by superimposing collapsed relay axes that gradually straighten, branching is sympodial*, growth is defined and sexuality is terminal and lateral. The ontogeny takes place in three phases: initiation of development and establishment of the crown (young), then flowering and establishment of the architectural unity (adult) and finally the death of secondary axes in the crown, duplication of the architecture by a series of partial and total reiterations (old). The level of organisation is 5: the phytomere, the module or growth unit, the axis, the architectural unit and the reiterated complex. Retrospective analysis of the modules showed that the dimensions of the growth units are indicators of morphological variation and species adaptation to a changing climate (<i>P</i> < 0.05). However, the equations generated by the morphological and habitat dimension linkage models are not significant (<i>R</i><sup>2</sup> and <i>r</i> </span><span style="font-family:;" "="">< 0.7) to be used as a guide for field data collection. This study represents an initiation into the architectural study of this species and the information provided will serve as a basis for further research into the architecture in relation to the sustainable use of this species.</span>展开更多
An abnormality that develops in white blood cells is called leukemia.The diagnosis of leukemia is made possible by microscopic investigation of the smear in the periphery.Prior training is necessary to complete the mo...An abnormality that develops in white blood cells is called leukemia.The diagnosis of leukemia is made possible by microscopic investigation of the smear in the periphery.Prior training is necessary to complete the morphological examination of the blood smear for leukemia diagnosis.This paper proposes a Histogram Threshold Segmentation Classifier(HTsC)for a decision support system.The proposed HTsC is evaluated based on the color and brightness variation in the dataset of blood smear images.Arithmetic operations are used to crop the nucleus based on automated approximation.White Blood Cell(WBC)segmentation is calculated using the active contour model to determine the contrast between image regions using the color transfer approach.Through entropy-adaptive mask generation,WBCs accurately detect the circularity region for identification of the nucleus.The proposed HTsC addressed the cytoplasm region based on variations in size and shape concerning addition and rotation operations.Variation in WBC imaging characteristics depends on the cytoplasmic and nuclear regions.The computation of the variation between image features in the cytoplasm and nuclei regions of the WBCs is used to classify blood smear images.The classification of the blood smear is performed with conventional machine-learning techniques integrated with the features of the deep-learning regression classifier.The designed HTsC classifier comprises the binary classifier with the classification of the lymphocytes,monocytes,neutrophils,eosinophils,and abnormalities in the WBCs.The proposed HTsC identifies the abnormal activity in the WBC,considering the color and shape features.It exhibits a higher classification accuracy value of 99.6%when combined with the other classifiers.The comparative analysis expressed that the proposed HTsC model exhibits an overall accuracy value of 98%,which is approximately 3%–12%higher than the conventional technique.展开更多
基金the National Key Research and Development Program of China(2016YFD0100101-18,2016YFD0100103)the National Natural Science Foundation of China(31770397,21800305)+2 种基金the Fundamental Research Funds for the Central Universities(2662017PY058,2662017QD044)UK-China grant BBSRC(grant no.BB/R02118X/1)the National Institute of Food and Agriculture,U.S.Department of Agriculture,Hatch project(ALA014-1-16016).
文摘Since whole-genome sequencing of many crops has been achieved,crop functional genomics studies have stepped into the big-data and high-throughput era.However,acquisition of large-scale phenotypic data has become one of the major bottlenecks hindering crop breeding and functional genomics studies.Nevertheless,recent technological advances provide us potential solutions to relieve this bottleneck and to explore advanced methods for large-scale phenotyping data acquisition and processing in the coming years.In this article,we review the major progress on high-throughput phenotyping in controlled environments and field conditions as well as its use for post-harvest yield and quality assessment in the past decades.We then discuss the latest multi-omics research combining high-throughput phenotyping with genetic studies.Finally,we propose some conceptual challenges and provide our perspectives on how to bridge the phenotype-genotype gap.It is no doubt that accurate high-throughput phenotyping will accelerate plant genetic improvements and promote the next green revolution in crop breeding.
文摘Aluminum alloys are the potential materials in the automobile and aerospace sectors due to their lower density,easy forming and excellent corrosion resistance.The demand of high strength-to-weight ratio materials in structural applications needs the engineering industries to seek aluminum alloy with new versions of hard and brittle ceramic particles.The microstructure,hardness,wear and corrosion behaviors of AA7075 composites with 2.5wt.%and 5wt.%TiC particles were studied.Microscopic analysis is evident that the transformation of the strong dendritic morphology to non-dendritic morphology on the incorporation of TiC into AA7075.Furthermore,the precipitation of the second-phase compounds such as Al_(2)CuMg,Al_(2)Cu andFe-rich Al_6(Cu,Fe)/Al_(7)Cu_(2)Fe)is promoted by TiC particles at inter-and intra-dendritic regions.Accordingly,the hardness of composites is improved by grain boundary strengthening and particulate strengthening mechanisms.Both coefficient of friction and wear rate have an inverse relation with TiC concentration.The base alloy without TiC shows adhesive-type wear-induced deformation due to the formation of an oxide film,while composite samples exhibit a mechanically mixed layer and abrasive-type wear behavior.Composite samples shows a higher corrosion rate due to the presence of numerous precipitates which promote pitting corrosion.
基金Science and Engineering Research Board(SERB),Government of India,New Delhi,India for funding under an R&D project to procure a high-temperature furnace.
文摘Improvement of mechanical and tribological behaviors of zinc-based die cast alloy is necessary for bearing applications,and chemical modification is found to be a good choice.Chemical modification of Zn-27wt.%Al alloy was carried out with 1%,2%and 3%nickel through casting route,and its effect on microstructure,hardness,and dry sliding wear behavior was investigated.Significant refinement of dendritic microstructure is observed along with a transformation from rosette to near rounded morphology with the increase in nickel content of base alloy.With 1%nickel modification,an aluminum-rich Al_(3)Ni intermetallic compound of string type forms in inter dendritic region,while with 2%and 3%nickel modifications,a nickel-rich AlNi3 intermetallic compound of lath/plate type is formed within the intra dendritic region.Hardness of the base alloy is improved through grain boundary strengthening at a lower concentration of nickel,and particulate strengthening and spinodal decomposition are the reason for increase in hardness of the alloy with a higher content of nickel.Coefficient of friction and wear rate of base alloy is decreased with increasing nickel amount.Worn surface is characterized by delamination,smearing and grooving.The wear mechanism is transferred from adhesion to abrasive via oxide film formation with an increase in amount of nickel.
基金Under the auspices of National Natural Science Foundation of China(No.41971222)Planning Project of Philosophy and Social Science in Henan Province(No.2019BJJ019)+2 种基金Program for Innovative Research Team(in Science and Technology)in University of Henan Province(No.21IRTSTHN008)Graduate Education Quality Curriculum Construction Project of Henan Province(No.HNYJS2016KC24)First Class Discipline Development Project in Henan University(No.2019YLZDYJ12)。
文摘Agricultural innovation is important for the green transformation of agriculture.Based on the perspective of technology transformation,this paper builds a theoretical analysis framework and evaluation index system for green efficiency of agricultural innovation,and discusses the evolution laws and influencing factors of the green efficiency of China’s agricultural innovation from 2005 to 2017 utilizing the DEA model,Malmquist index,and Tobit regression analysis.The results show that:1)The overall green efficiency of China’s agricultural innovation is not high,the green efficiency of agricultural innovation in eastern China is mainly driven by pure technical efficiency,while that in central and western China is mainly driven by the scale efficiency.The green efficiency of agricultural innovation shows significant spatial differences,and the low efficiency and relatively low-efficiency regions moved to central and southeastern China.2)Technical progress is the main force affecting the change of green total factor productivity of China’s agricultural innovation,seeing a trend of decrease followed by an increase.Pure technical efficiency and scale efficiency exhibit an increasing-decreasing trend,and gradually transform into key factors that restrict the improvement of the green total factor productivity of agricultural innovation.3)Agricultural technologies’diffusion,absorption,and implementation are three influencing factors of the green efficiency of agricultural innovation.The local level of informatization,the number of agricultural technicians in enterprises and institutions,average education level of residents,and the level of agricultural mechanization have positive impacts on the promotion of the green efficiency of agricultural innovation,promoting the diffusion,absorption and implementation of agricultural innovation technology can significantly improve the green efficiency of agricultural innovation.
文摘Leptospirosis is a widespread zoonotic disease caused by pathogenic spirochetes of the genus Leptospira that infects humans and a wide range of animals. By combining computational prediction and high-accuracy tandem mass spectra, we revised the genome annotation of Leptospira interrogans serovar Lai, a free-living pathogenic spirochete responsible for leptospirosis, providing substantial peptide evidence for novel genes and new gene boundaries. Subsequently, we presented a high-coverage proteome analysis of protein expression and multiple posttranslational modifications （PTMs）. Approximately 64.3% of the predicted L. interrogans proteins were cataloged by detecting 2 540 proteins. Meanwhile, a profile of multiple PTMs was concurrently established, containing in total 32 phosphorylated, 46 acetylated and 155 methylated proteins. The PTM systems in the serovar Lai show unique features. Unique eukaryotic-like features of L. interrogans protein modifications were demonstrated in both phosphorylation and arginine methylation. This systematic analysis provides not only comprehensive information of high-coverage protein expression and multiple modifications in prokaryotes but also a view suggesting that the evolutionarily primitive L. interrogans shares significant similarities in protein modification systems with eukaryotes.
基金supported by the UK-China Research & Innovation Partnership Fund through the Met Office Climate Science for Service Partnership China as part of the Newton Fundsupported by the National Natural Science Foundation of China(Grant No.41320104007)supported by the Project for Development of Key Techniques in Meteorological Operation Forecasting(Grant No.YBGJXM201705)
文摘The Yangtze River has been subject to heavy flooding throughout history, and in recent times severe floods such as those in 1998 have resulted in heavy loss of life and livelihoods. Dams along the river help to manage flood waters, and are important sources of electricity for the region. Being able to forecast high-impact events at long lead times therefore has enormous potential benefit. Recent improvements in seasonal forecasting mean that dynamical climate models can start to be used directly for operational services. The teleconnection from E1 Nifio to Yangtze River basin rainfall meant that the strong E1 Nifio in winter 2015/16 provided a valuable opportunity to test the application of a dynamical forecast system. This paper therefore presents a case study of a real-time seasonal forecast for the Yangtze River basin, building on previous work demonstrating the retrospective skill of such a forecast. A simple forecasting methodology is presented, in which the forecast probabilities are derived from the historical relationship between hindcast and observations. Its performance for 2016 is discussed. The heavy rainfall in the May-June-July period was correctly forecast well in advance. August saw anomalously low rainfall, and the forecasts for the June-July-August period correctly showed closer to average levels. The forecasts contributed to the confidence of decision-makers across the Yangtze River basin. Trials of climate services such as this help to promote appropriate use of seasonal forecasts, and highlight areas for future improvements.
文摘Light-emitting diodes(LEDs)are key for the development of next-generation displays for ultra-high-definition television.Alternative materials beyond organic LEDs are required to meet the color purity standards,while retaining low processing cost and environmental friendliness.Liang and colleagues report in Advanced Science that two-dimensional(2D)tin halide perovskite—efficiently stabilized by H3PO2 incorporation—has great promise for ultra-pure red LEDs.
文摘Emotional awareness, the ability to identify and describe one’s own emotions, and those of other people, has been widely studied in adult samples, while only few studies have been conducted during childhood. Aim of the present study was to investigate the predictability of the main variables usually associated with the study of emotional awareness. The LEAS-C was administered to a group of 781 children aged 8 to 13 years old. The results showed that both gender and verbal skills are important predictors of children’s emotional awareness. Moreover, cognitive ability and emotion recognition also predicted LEAS-C scores. Finally, age emerged as a significant predictor of the complexity of children’s emotional awareness. The assessment of children’s emotional awareness may be significant for different health-related purposes, e.g. prevention and psychological support.
基金supported by the National Natural Science Foundation of China(31830084,31970440 and 32070466)supported by“the Fundamental Research Funds for the Central Universities”,Nankai University(96172158,96173250 and 91822294)。
文摘Figs and fig pollinators are one of the few classic textbook examples of obligate pollination mutualism.The specific dependence of fig pollinators on the relatively safe living environment with sufficient food sources in the enclosed fig syconia implies that they are vulnerable to habitat changes.However,there is still no extensive genomic evidence to reveal the evolutionary footprint of this long-term mutually beneficial symbiosis in fig pollinators.In fig syconia,there are also non-pollinator species.The non-pollinator species differ in their evolutionary and life histories from pollinators.We conducted comparative analyses on 11 newly sequenced fig wasp genomes and one previously published genome.The pollinators colonized the figs approximately 66.9 million years ago,consistent with the origin of host figs.Compared with nonpollinators,many more genes in pollinators were subject to relaxed selection.Seven genes were absent in pollinators in response to environmental stress and immune activation.Pollinators had more streamlined gene repertoires in the innate immune system,chemosensory toolbox,and detoxification system.Our results provide genomic evidence for the differentiation between pollinators and nonpollinators.The data suggest that owing to the long-term adaptation to the fig,some genes related to functions no longer required are absent in pollinators.
基金supported by the Science & Technology Project of Anhui Province (16030701091)the Natural Science Research Project of Anhui Provincial Education Department (KJ2019A0030)+2 种基金the Support Project of Outstanding Young Talents in Anhui Provincial Universities (gxyqZD2018006)the National Natural Science Foundation of China(11704002, 31701323)the Anhui Provincial Natural Science Foundation (1908085QF251,1808085MF185)
文摘A multi-dimensional conductive heterojunction structure,composited by TiO2,SnO2,and Ti3C2TX MXene,is facilely designed and applied as electron transport layer in efficient and stable planar perovskite solar cells.Based on an oxygen vacancy scramble effect,the zero-dimensional anatase TiO2 quantum dots,surrounding on two-dimensional conductive Ti3C2TX sheets,are in situ rooted on three-dimensional SnO2 nanoparticles,constructing nanoscale TiO2/SnO2 heterojunctions.The fabrication is implemented in a controlled lowtemperature anneal method in air and then in N2 atmospheres.With the optimal MXene content,the optical property,the crystallinity of perovskite layer,and internal interfaces are all facilitated,contributing more amount of carrier with effective and rapid transferring in device.The champion power conversion efficiency of resultant perovskite solar cells achieves 19.14%,yet that of counterpart is just 16.83%.In addition,it can also maintain almost 85%of its initial performance for more than 45 days in 30–40%humidity air;comparatively,the counterpart declines to just below 75%of its initial performance.
文摘Chromophobe renal cell carcinoma(ChRCC)is the third most common renal cell carcinoma(RCC)subtype,which predominantly occurs in sporadic setting.ChRCCs are considered to originate from the intercalated cell of distal tubules with two main morphological variants,classic and eosinophilic.Most ChRCCs carry a favorable clinical outcome.Histology alone is limited in predicting the behavior of ChRCCs that do not have overtly aggressive morphologic findings such as necrosis and sarcomatoid features.Along with positive CD117 expression,classic ChRCCs generally express diffuse and uniform CK7,while eosinophilic variant demonstrates more heterogeneous CK7 expression(rare or patchy).Multiple losses of chromosomes 1,2,6,10,13,17,and 21 are considered to be the genetic hallmarks of classic and eosinophilic ChRCCs,while chromosomal gains are known to be associated with sarcomatoid ChRCCs.TP53 and PTEN are the two most frequently mutated genes in ChRCCs.The major challenge in the differential diagnosis of ChRCCs includes considerations around the eosinophilic variant(of ChRCCs),where it may share overlapping features with oncocytoma or other recent emergent oncocytic tumors.Most eosinophilic ChRCCs share expression of the recently described biomarkers,LINC01187 and FOXI1,with classic ChRCCs,however,a subset of eosinophilic-like ChRCCs with lower biomarker expression have been demonstrated to harbor MTOR gene mutations.Overall,the morphologic features of ChRCCs and genetic profile with combinations of chromosomal losses and gains suggest this tumor entity to represent a distinct,yet heterogeneous group of renal neoplasms.
基金We deeply acknowledge Taif University for supporting this study through Taif University Researchers Supporting Project Number(TURSP-2020/115),Taif University,Taif,Saudi Arabia.
文摘The mission of classifying remote sensing pictures based on their contents has a range of applications in a variety of areas.In recent years,a lot of interest has been generated in researching remote sensing image scene classification.Remote sensing image scene retrieval,and scene-driven remote sensing image object identification are included in the Remote sensing image scene understanding(RSISU)research.In the last several years,the number of deep learning(DL)methods that have emerged has caused the creation of new approaches to remote sensing image classification to gain major breakthroughs,providing new research and development possibilities for RS image classification.A new network called Pass Over(POEP)is proposed that utilizes both feature learning and end-to-end learning to solve the problem of picture scene comprehension using remote sensing imagery(RSISU).This article presents a method that combines feature fusion and extraction methods with classification algorithms for remote sensing for scene categorization.The benefits(POEP)include two advantages.The multi-resolution feature mapping is done first,using the POEP connections,and combines the several resolution-specific feature maps generated by the CNN,resulting in critical advantages for addressing the variation in RSISU data sets.Secondly,we are able to use Enhanced pooling tomake the most use of themulti-resolution feature maps that include second-order information.This enablesCNNs to better cope with(RSISU)issues by providing more representative feature learning.The data for this paper is stored in a UCI dataset with 21 types of pictures.In the beginning,the picture was pre-processed,then the features were retrieved using RESNET-50,Alexnet,and VGG-16 integration of architectures.After characteristics have been amalgamated and sent to the attention layer,after this characteristic has been fused,the process of classifying the data will take place.We utilize an ensemble classifier in our classification algorithm that utilizes the architecture of a Decision Tree and a Random Forest.Once the optimum findings have been found via performance analysis and comparison analysis.
基金the National Natural Science Foundation of China(32070590,31871191,and 32071156)the Key Scientific Project of Guangdong Province(2018B030335001).
文摘Dear Editor,Circadian rhythms are driven by a complex,profoundly integrated network of clocks that maintain physiology and behaviors occurring at precise times and in the right order[1-3].Light,the most powerful zeitgeber,entrains the central clock in the suprachiasmatic nucleus(SCN)via the retinohypothalamic tract with a precise 24-h rhythm in mammals[4,5].Due to irregular exposure to light conditions,such as an arrhythmic lifestyle,jet lag,and shift-work,circadian disturbance occurs quite often in modem societies and promotes a series of health problems such as obesity,depression,and neurodegenerative diseases[6,7].Thus,adjusting or resetting an arrhythmic circadian rhythm by using external cues has attracted wide attention[8].Notably,food-induced cues have been documented to have effects on certain circadian rhythms in rodents and humans[9,10].In nocturnal rodents,time-restricted feeding during the light phase can produce a rhythmic behavior prior to mealtime.
文摘<i><span style="font-family:;" "="">Parkia biglobosa</span></i><span style="font-family:;" "=""> is a much-loved and over-exploited African savannah species for its socio-economic importance. Knowing and taking into account its architectural unit, which is the basis for diagnosing phenology, productivity and tree health, could provide a new perspective on its sustainable management. The aim of this study is to establish the architectural development in <i>Parkia biglobosa</i> by retrospective analysis. To achieve this objective, 390 individuals of all sizes ranging from seedlings to senescent trees were observed and analysed under various soil and climatic conditions in Côte d’Ivoire. The results showed that <i>Parkia biglobosa</i> is a light plant but shading tolerant. It is a mixed vegetative axis plant, the stem is orthotropic* in its proximal part and plagiotropic* (collapsing) in its distal part in young stage. The tree then transitions to an adult and old stage into a tree with a plagiotropic* axis in the proximal and distal parts, the trunk is built up by superimposing collapsed relay axes that gradually straighten, branching is sympodial*, growth is defined and sexuality is terminal and lateral. The ontogeny takes place in three phases: initiation of development and establishment of the crown (young), then flowering and establishment of the architectural unity (adult) and finally the death of secondary axes in the crown, duplication of the architecture by a series of partial and total reiterations (old). The level of organisation is 5: the phytomere, the module or growth unit, the axis, the architectural unit and the reiterated complex. Retrospective analysis of the modules showed that the dimensions of the growth units are indicators of morphological variation and species adaptation to a changing climate (<i>P</i> < 0.05). However, the equations generated by the morphological and habitat dimension linkage models are not significant (<i>R</i><sup>2</sup> and <i>r</i> </span><span style="font-family:;" "="">< 0.7) to be used as a guide for field data collection. This study represents an initiation into the architectural study of this species and the information provided will serve as a basis for further research into the architecture in relation to the sustainable use of this species.</span>
基金This research is funded by the Deanship of Scientific Research at Umm Al-Qura University,Grant Code:22UQU4281768DSR01.
文摘An abnormality that develops in white blood cells is called leukemia.The diagnosis of leukemia is made possible by microscopic investigation of the smear in the periphery.Prior training is necessary to complete the morphological examination of the blood smear for leukemia diagnosis.This paper proposes a Histogram Threshold Segmentation Classifier(HTsC)for a decision support system.The proposed HTsC is evaluated based on the color and brightness variation in the dataset of blood smear images.Arithmetic operations are used to crop the nucleus based on automated approximation.White Blood Cell(WBC)segmentation is calculated using the active contour model to determine the contrast between image regions using the color transfer approach.Through entropy-adaptive mask generation,WBCs accurately detect the circularity region for identification of the nucleus.The proposed HTsC addressed the cytoplasm region based on variations in size and shape concerning addition and rotation operations.Variation in WBC imaging characteristics depends on the cytoplasmic and nuclear regions.The computation of the variation between image features in the cytoplasm and nuclei regions of the WBCs is used to classify blood smear images.The classification of the blood smear is performed with conventional machine-learning techniques integrated with the features of the deep-learning regression classifier.The designed HTsC classifier comprises the binary classifier with the classification of the lymphocytes,monocytes,neutrophils,eosinophils,and abnormalities in the WBCs.The proposed HTsC identifies the abnormal activity in the WBC,considering the color and shape features.It exhibits a higher classification accuracy value of 99.6%when combined with the other classifiers.The comparative analysis expressed that the proposed HTsC model exhibits an overall accuracy value of 98%,which is approximately 3%–12%higher than the conventional technique.
