Mao'ershan region is representative in the natural secondary forested region of the eastern mountainous region, northeast China. The landscape nearest neighbor index and landscape connectivity index were calculate...Mao'ershan region is representative in the natural secondary forested region of the eastern mountainous region, northeast China. The landscape nearest neighbor index and landscape connectivity index were calculated with ARC/INFO software for Mao'ershan region. The spatial distribution of the landscape of the region was analyzed. The results showed that the landscape connectivity index of non-woodland was significantly higher than that of woodland. The landscape connectivity index of natural forest was nearly equal to zero, which means its fragmentation degree is high. The nearest neighbor index of plantation was lower than that of natural forest and non-forestland. Among the man-made forests, the distance index of the coniferous mixed plantation is the lowest, and its pattern is nearly glomeration. The landscape pattern of natural forest presented nearly random distribution. Among non-forest land, the distance index of cut blank was the lowest, and its pattern was also nearly glomeration. Keywords Landscape type - Landscape pattern - Nearest neighbor index - Landscape connectivity index - Natural secondary forest - Northeast China CLC number S759.92 Document code A Foundation item: This paper was supported by the Key Project of State Department of Science Technology (2002BA515B040).Biography: LI SHu-juan (1977), female. Lecture in Ocean University of China, Qingdao 266003, P. R. China.Responsible editor: Zhu Hong展开更多
This paper principally focuses on the morphological differences,spatial pattern and regional types of rural settlements in Xuzhou City of Jiangsu Province in China.Using satellite images of Xuzhou City taken in 2007 a...This paper principally focuses on the morphological differences,spatial pattern and regional types of rural settlements in Xuzhou City of Jiangsu Province in China.Using satellite images of Xuzhou City taken in 2007 and 2008 and models of exploratory spatial data analysis(ESDA) and spatial metrics,the paper conducts a quantitative analysis of the morphological pattern of rural settlements,and finds significant characteristics.First,rural settlements in Xuzhou City are significantly agglomerated in terms of their spatial distribution;meanwhile,there is significant variation in the geographical density distribution.Second,the scale of rural settlements in Xuzhou City is larger than the average in Jiangsu Province,and the histogram of the scale data is more even and more like a gamma distribution.There are a significant high-value cluster in the scale distribution,and local negative correlation between the scale and density distribution of rural settlements in Xuzhou City.Third,the morphology of rural settlements in Xuzhou City shows relative regularity with good connection and integrity,but the spatial variation of the morphology is anisotropic.Finally,according to the characteristics of density,scale,and form of rural settlements,the rural settlements of Xuzhou City are divided into three types:A high-density and point-scattered type,a low-density and cluster-like type and a mass-like and sparse type.The research findings could be used as the scientific foundation for rural planning and community rebuilding,particularly in less-developed areas.展开更多
he effects of greywater irrigation on four commonly used agricultural soils and models were studied. Sand, sandy loam, sandy clay and light clay soils were selected as common Iraq soils. Soil's chemical and physical ...he effects of greywater irrigation on four commonly used agricultural soils and models were studied. Sand, sandy loam, sandy clay and light clay soils were selected as common Iraq soils. Soil's chemical and physical properties under different irrigation regimes were daily measured during period extended from February 2011 to April 2012 in Baghdad city and plant growth was monitored. A lab scale models of four acrylic columns of 100 mm diameter and 750 mm height were designed and constructed in environmental hydraulic lab at Mustansiriya University and tests were run concurrently with the characterization study to assess the effect of soil depth and loading rate on treatment efficiency. Soil samples were carried out in a site that had been drained with greywater for over 14 months. Measurements of greywater and treated greywater had been achieved which contains BODs, COD, pH, EC, TDS, turbidity, CI+1, 504+2, NO3+1, Na+l, Ca+2, Mg+2, E coli and coliform.展开更多
The structure and function of network is a central issue in landscape ecology.Road networks with hierarchical structure are crucial for understanding landscape dynamics.In this study,we compared the distribution of na...The structure and function of network is a central issue in landscape ecology.Road networks with hierarchical structure are crucial for understanding landscape dynamics.In this study,we compared the distribution of national road,provincial road,county road and rural road in the Three Parallel Rivers Region(TPRR)in Yunnan Province of China,and estimated the effect of roads(and other factors)on the spatial patterns of land use and land cover with logistic regression.In addition,we analyzed the land use and land cover change(LUCC)and landscape fragmentation in 1989–2005 along a buffer zone of the primary traffic corridor,national road G214.The results showed that,county and rural roads had much higher percentage of length extending into more natural habitats at higher elevation and steeper slope,compared with the higher level roads in this region.While the distributions of natural land cover types were dominated by environmental factors,human land use types i.e.,building land and farmland types were significantly related with roads,linking more closely with lower level roads.The LUCC dynamics(1989–2005)of the G214 buffer zone showed a general trend of land transformation from conifer forests and valley arid shrubs to building land and farmland,and from ice and snow to alpine shrubs and forests.With the length of G214 unchanged during the time,the overall landscape pattern changed little in the buffer zone,but habitat fragmentation and area decrease had occurred for the natural vegetation types,in contrast to patch mergence and expansion of human land use types,and landscape fragmentation was intensified above 2500 m a.s.l.but declined below the elevation.The results indicated the dynamics of landscape composition and patch type level distribution in spite of the stability of the overall landscape pattern,and implied the potential role of roads,especially the low level roads on landscape changes.展开更多
The Myers Briggs Type Indicator (MBTI) test has been widely used in schools and career placement organizations to counsel individuals into compatible career choices. The test has also been utilized in academia to en...The Myers Briggs Type Indicator (MBTI) test has been widely used in schools and career placement organizations to counsel individuals into compatible career choices. The test has also been utilized in academia to enhance instructor's knowledge of the different learning styles and thus allows them to develop strategies to increase students' learning. The test is a forced-choice self-reporting exam comprised of 126 questions. Based on Jung's theory of personality type, the test seeks to categorize personality types into 16 discrete groups based on the four preference poles (Myers, 1962). The poles are based on the preference for: (1) introversion (I) or extroversion (E); (2) sensing (S) or intuition (N); (3) thinking (T) or feeling (F); and (4)judging (J) or perception (P). Laribee (1994) studied American accounting students and found that certain personality traits were over represented in upper-level accounting courses, while Macdaid, McCaulley, and Kainz (1986) found that the same personality trait groups were over-represented in the profession. Oswick and Barber (1998), however, found no significant relationship between the grade earned in an introductory accounting course and the personality traits as identified by the MBTI with 344 UK-based accounting students. This study investigates the relationship between a student's academic success in a financial accounting principles course and the MBTI personality type indicators. The type distribution of 59 historically black colleges and universities' (HBCU) business administration majors was analyzed and separated into two groups. The groups were then tested to determine if there was a significant difference in the mean grade of the groups in accounting principles.展开更多
This study investigated the difference in the levels of people's acceptance of robots by the types of social relationships between humans and robots. In this study, social relationships between a robot and a person w...This study investigated the difference in the levels of people's acceptance of robots by the types of social relationships between humans and robots. In this study, social relationships between a robot and a person were categorized into four types consisted of two in the horizontal of social relationship (intimacy dimension) and two in the vertical of social relationship (status dimension). In dialogue between humans and robots, the types of social relationship were adjusted by forms of language such as calling by name and speech styles. People's acceptance of robots was measured by people's comfortable approach distance to the robot. Participants showed greater acceptance of a robot when the robot called them by their names. In the case of speech style, participants accepted the robot which used honorific speech style without addressing them by their name, while they accepted the robot which used familiar speech style with addressing them by their name. There was an interaction effect between gender and calling by name.展开更多
Personality characteristics of each people are unique. It seems that these features of personality have an impact on emotional intelligence and ability to interact with people in a social environment. This study was c...Personality characteristics of each people are unique. It seems that these features of personality have an impact on emotional intelligence and ability to interact with people in a social environment. This study was conducted to investigate the relationship between emotional intelligence and personality types of nursing students. The research was descriptive and correlative. The study population consisted of Ardebil University of senior nursing candidates in 2011-2012. The study sample included 125 people. Assessment tools were the Bar-on Emotional Intelligence Inventory and MBTI (Myers-Briggs Type Indicator) personality type questionnaire. The data were analyzed by SPSS 20 (T-test, analysis of variance, Pearson correlation and multiple regression with significant level P〈0 .05). Pearson correlation coefficients showed there is a significant inverse between variables extroversion-introversion and emotional intelligence with level of .01 (r=-522). Therefore, personality characteristics impact on emotional intelligence of students. Thus, more research of emotional intelligence and personality characteristics is necessary at different levels to selection for nursing profession.展开更多
Due to the rapid development,Internet has become the main field for brand building.Under this circumstance,the image of the brand is always consistent with the consumers' perception.Therefore,this study uses the m...Due to the rapid development,Internet has become the main field for brand building.Under this circumstance,the image of the brand is always consistent with the consumers' perception.Therefore,this study uses the method of text mining of search engine to explore the categories of brand archetype based on Brand Personality Theory from the perspective of Internet.The results find that 12 brand archetypes,including caregiver,sage,hero,innocent,dominator,creator,vitality,explorer,stylish woman,lover,cooperator,and vogue gentleman,have a high degree explanation.Deeper study uses case study to verify the reasonability and effectiveness of the classification standard.展开更多
Analysis of the problem of predicting bankruptcy shows that foreign and domestic models included only internal factors of enterprises. But the same indicators of internal factors in the rapidly changing external envir...Analysis of the problem of predicting bankruptcy shows that foreign and domestic models included only internal factors of enterprises. But the same indicators of internal factors in the rapidly changing external environment can lead to bankruptcy, and not in others. External factors are the most dangerous, because the possible influence on them is minimal and the impact of their implementation can be devastating. This paper focuses on the same factors to assess the impact of the macroeconomic indicators (extemal factors) on the parameters of static models predicting a local approximation of the crisis at the plant. To accomplish the purpose, a Spark set of 100 companies was compiled, including 50 companies which officially declared bankruptcy in the period of 2000-2009 and 50 stable operating companies with a random sample of the same time period. External factors were extracted from the Joint Economic and Social Data Archive1 The author compared two data sets: (1) microeconomic indicators--money to the total liabilities, retained earnings to total assets, net profit to revenue, Earnings Before Interest and Taxes (EBIT) to assets, net income to equity, net profit to total liabilities, current liabilities to total assets, the totality of short-term and long-term loans to total assets, current assets to current liabilities, assets to revenue, equity to total assets, and current assets to revenue; and (2) external factors--index of real gross domestic product (GDP), industrial production index, the index of real cash incomes, an index of real investments, consumer price index, the refinancing rate, unemployment rate, the price of electricity, gas prices, oil price, gas price, dollar to ruble, ruble euro Standard & Poor (S&P) index, the Russian Trading System (RTS) index, and region. The aim of the comparison results paging classes "insolvent" and "non-bankrupt" is achieved using two methods: classification and discrimination. In both methods, computational procedures are realized with the use of algorithms linear regression, artificial neural network, and genetic algorithm. In the 2-m model, data set includes both internal and external factors. The results showed that the inclusion of only the microeconomic indicators, excluding external factors, impedes models about two times.展开更多
Wetlands are important for maintaining global ecosystem functions,mitigating global climate change,and regulating regional climate change.Ecological problems caused by global climate change have had serious impacts on...Wetlands are important for maintaining global ecosystem functions,mitigating global climate change,and regulating regional climate change.Ecological problems caused by global climate change have had serious impacts on plant distribution patterns in the wetlands of riparian zones,as well as on microbial community habitats in the soil.This study was based on a field sampling survey of the distribution characteristics of plant communities in the Ulson River,combined with remote sensing to obtain the spatial distribution pattern of vegetation in the riparian wetland.High-throughput sequencing technology combined with the characteristics of soil physicochemical factors were then used to explore the distribution characteristics of the community structures of soil bacteria and fungi under different vegetation types in the Ulson River Basin,in order to reveal the pattern of changes of soil microbial microorganisms under the different vegetation types in the wetlands of the riparian area and the factors driving those changes.The results showed an obvious banding phenomenon of wetland vegetation in the Ulson River Basin.Proteobacteria ranked first in relative abundance in all the sample plots and were the dominant bacteria in the study area.Ascomycota and Basidiomycota were the dominant fungi in the study area.In swamp areas,degenerate swamp soils,soil moisture content,and soil bulk density affected the microbial richness directly or indirectly by controlling soil nutrients.Plant aboveground biomass was the most significant factor influencing microbial diversity in a typical wet meadow sample.In salinized meadows and swamped meadows,electrical conductivity affected microbial richness and soil bulk density was the main factor influencing microbial diversity.The findings of this study can provide a theoretical basis for the ecological restoration of degraded riparian wetlands and further clarification of soil ecosystem functions in riparian wetlands.展开更多
Hepatitis E virus(HEV)is the prototype of the family Hepeviridae and the causative agent of common acute viral hepatitis.Genetically diverse HEV-related viruses have been detected in a variety of mammals and some of t...Hepatitis E virus(HEV)is the prototype of the family Hepeviridae and the causative agent of common acute viral hepatitis.Genetically diverse HEV-related viruses have been detected in a variety of mammals and some of them may have zoonotic potential.In this study,we tested 278 specimens collected from seven wild small mammal species in Yunnan province,China,for the presence and prevalence of orthohepevirus by broad-spectrum reverse transcription(RT)-PCR.HEV-related sequences were detected in two rodent species,including Chevrier’s field mouse(Apodemus chevrieri,family Muridae)and Père David’s vole(Eothenomys melanogaster,family Cricetidae),with the infection rates of 29.20%(59/202)and 7.27%(4/55),respectively.Further four representative full-length genomes were generated:two each from Chevrier’s field mouse(named Rd HEVAc14 and Rd HEVAc86)and Père David’s vole(Rd HEVEm40 and Rd HEVEm67).Phylogenetic analyses and pairwise distance comparisons of whole genome sequences and amino acid sequences of the gene coding regions showed that orthohepeviruses identified in Chinese Chevrier’s field mouse and Père David’s vole belonged to the species Orthohepevirus C but were highly divergent from the two assigned genotypes:HEV-C1 derived from rat and shrew,and HEV-C2 derived from ferret and possibly mink.Quantitative real-time RT-PCR demonstrated that these newly discovered orthohepeviruses had hepatic tropism.In summary,our work discovered two putative novel genotypes orthohepeviruses preliminarily named HEVC3 and HEV-C4 within the species Orthohepevirus C,which expands our understanding of orthohepevirus infection in the order Rodentia and gives new insights into the origin,evolution,and host range of orthohepevirus.展开更多
Animal personalities have been a major focus of behavioral ecology over the past decade. Consistent individual dif ferences in behavior have been found across taxa, and have been shown to influence a range of ecologic...Animal personalities have been a major focus of behavioral ecology over the past decade. Consistent individual dif ferences in behavior have been found across taxa, and have been shown to influence a range of ecological processes. The role of personalities in sexual selection has been considered, and examples exist that show selection for personality traits with both assortative and disassortative mating patterns between personality types. One overlooked aspect of the personality and sexual se lection literature is the potential for personalitysignaling interactions, specifically with complex signaling. Complex signaling is a diverse topic in itself, and in short, consists of multiple signals within one or more modalities that interact to elicit a receiver response. Research into complex signaling has been thorough, although at times studies discover complex signaling systems that fail to fit into one of the existing hypotheses in the literature. Here, we argue that personalities may interact with complex signal ing, which should be considered by researchers of both personality and sexual selection and communication. We describe several ways in which personalitycomplex signaling interactions could affect both the signaler and receiver, and the way in which they may drive personalityspecific signals as well as receiver preferences. Finally, we discuss how considering personality in com plex signaling studies may inform theory as well as improve the ability of researchers to accurately describe its function.展开更多
基金This paper was supported by the Key Project of State Department of Science Technology (2002BA515B040).
文摘Mao'ershan region is representative in the natural secondary forested region of the eastern mountainous region, northeast China. The landscape nearest neighbor index and landscape connectivity index were calculated with ARC/INFO software for Mao'ershan region. The spatial distribution of the landscape of the region was analyzed. The results showed that the landscape connectivity index of non-woodland was significantly higher than that of woodland. The landscape connectivity index of natural forest was nearly equal to zero, which means its fragmentation degree is high. The nearest neighbor index of plantation was lower than that of natural forest and non-forestland. Among the man-made forests, the distance index of the coniferous mixed plantation is the lowest, and its pattern is nearly glomeration. The landscape pattern of natural forest presented nearly random distribution. Among non-forest land, the distance index of cut blank was the lowest, and its pattern was also nearly glomeration. Keywords Landscape type - Landscape pattern - Nearest neighbor index - Landscape connectivity index - Natural secondary forest - Northeast China CLC number S759.92 Document code A Foundation item: This paper was supported by the Key Project of State Department of Science Technology (2002BA515B040).Biography: LI SHu-juan (1977), female. Lecture in Ocean University of China, Qingdao 266003, P. R. China.Responsible editor: Zhu Hong
基金Under the auspices of National Natural Science Foundation of China(No.41071116)Humanity and Social ScienceFoundation of Ministry of Education(No.09YJC790225,11YJA630008)
文摘This paper principally focuses on the morphological differences,spatial pattern and regional types of rural settlements in Xuzhou City of Jiangsu Province in China.Using satellite images of Xuzhou City taken in 2007 and 2008 and models of exploratory spatial data analysis(ESDA) and spatial metrics,the paper conducts a quantitative analysis of the morphological pattern of rural settlements,and finds significant characteristics.First,rural settlements in Xuzhou City are significantly agglomerated in terms of their spatial distribution;meanwhile,there is significant variation in the geographical density distribution.Second,the scale of rural settlements in Xuzhou City is larger than the average in Jiangsu Province,and the histogram of the scale data is more even and more like a gamma distribution.There are a significant high-value cluster in the scale distribution,and local negative correlation between the scale and density distribution of rural settlements in Xuzhou City.Third,the morphology of rural settlements in Xuzhou City shows relative regularity with good connection and integrity,but the spatial variation of the morphology is anisotropic.Finally,according to the characteristics of density,scale,and form of rural settlements,the rural settlements of Xuzhou City are divided into three types:A high-density and point-scattered type,a low-density and cluster-like type and a mass-like and sparse type.The research findings could be used as the scientific foundation for rural planning and community rebuilding,particularly in less-developed areas.
文摘he effects of greywater irrigation on four commonly used agricultural soils and models were studied. Sand, sandy loam, sandy clay and light clay soils were selected as common Iraq soils. Soil's chemical and physical properties under different irrigation regimes were daily measured during period extended from February 2011 to April 2012 in Baghdad city and plant growth was monitored. A lab scale models of four acrylic columns of 100 mm diameter and 750 mm height were designed and constructed in environmental hydraulic lab at Mustansiriya University and tests were run concurrently with the characterization study to assess the effect of soil depth and loading rate on treatment efficiency. Soil samples were carried out in a site that had been drained with greywater for over 14 months. Measurements of greywater and treated greywater had been achieved which contains BODs, COD, pH, EC, TDS, turbidity, CI+1, 504+2, NO3+1, Na+l, Ca+2, Mg+2, E coli and coliform.
基金Under the auspices of National Natural Science Foundation of China(No.41371190,31021001)Scientific and Tech-nical Projects of Western China Transportation Construction,Ministry of Transport of China(No.2008-318-799-17)
文摘The structure and function of network is a central issue in landscape ecology.Road networks with hierarchical structure are crucial for understanding landscape dynamics.In this study,we compared the distribution of national road,provincial road,county road and rural road in the Three Parallel Rivers Region(TPRR)in Yunnan Province of China,and estimated the effect of roads(and other factors)on the spatial patterns of land use and land cover with logistic regression.In addition,we analyzed the land use and land cover change(LUCC)and landscape fragmentation in 1989–2005 along a buffer zone of the primary traffic corridor,national road G214.The results showed that,county and rural roads had much higher percentage of length extending into more natural habitats at higher elevation and steeper slope,compared with the higher level roads in this region.While the distributions of natural land cover types were dominated by environmental factors,human land use types i.e.,building land and farmland types were significantly related with roads,linking more closely with lower level roads.The LUCC dynamics(1989–2005)of the G214 buffer zone showed a general trend of land transformation from conifer forests and valley arid shrubs to building land and farmland,and from ice and snow to alpine shrubs and forests.With the length of G214 unchanged during the time,the overall landscape pattern changed little in the buffer zone,but habitat fragmentation and area decrease had occurred for the natural vegetation types,in contrast to patch mergence and expansion of human land use types,and landscape fragmentation was intensified above 2500 m a.s.l.but declined below the elevation.The results indicated the dynamics of landscape composition and patch type level distribution in spite of the stability of the overall landscape pattern,and implied the potential role of roads,especially the low level roads on landscape changes.
文摘The Myers Briggs Type Indicator (MBTI) test has been widely used in schools and career placement organizations to counsel individuals into compatible career choices. The test has also been utilized in academia to enhance instructor's knowledge of the different learning styles and thus allows them to develop strategies to increase students' learning. The test is a forced-choice self-reporting exam comprised of 126 questions. Based on Jung's theory of personality type, the test seeks to categorize personality types into 16 discrete groups based on the four preference poles (Myers, 1962). The poles are based on the preference for: (1) introversion (I) or extroversion (E); (2) sensing (S) or intuition (N); (3) thinking (T) or feeling (F); and (4)judging (J) or perception (P). Laribee (1994) studied American accounting students and found that certain personality traits were over represented in upper-level accounting courses, while Macdaid, McCaulley, and Kainz (1986) found that the same personality trait groups were over-represented in the profession. Oswick and Barber (1998), however, found no significant relationship between the grade earned in an introductory accounting course and the personality traits as identified by the MBTI with 344 UK-based accounting students. This study investigates the relationship between a student's academic success in a financial accounting principles course and the MBTI personality type indicators. The type distribution of 59 historically black colleges and universities' (HBCU) business administration majors was analyzed and separated into two groups. The groups were then tested to determine if there was a significant difference in the mean grade of the groups in accounting principles.
文摘This study investigated the difference in the levels of people's acceptance of robots by the types of social relationships between humans and robots. In this study, social relationships between a robot and a person were categorized into four types consisted of two in the horizontal of social relationship (intimacy dimension) and two in the vertical of social relationship (status dimension). In dialogue between humans and robots, the types of social relationship were adjusted by forms of language such as calling by name and speech styles. People's acceptance of robots was measured by people's comfortable approach distance to the robot. Participants showed greater acceptance of a robot when the robot called them by their names. In the case of speech style, participants accepted the robot which used honorific speech style without addressing them by their name, while they accepted the robot which used familiar speech style with addressing them by their name. There was an interaction effect between gender and calling by name.
文摘Personality characteristics of each people are unique. It seems that these features of personality have an impact on emotional intelligence and ability to interact with people in a social environment. This study was conducted to investigate the relationship between emotional intelligence and personality types of nursing students. The research was descriptive and correlative. The study population consisted of Ardebil University of senior nursing candidates in 2011-2012. The study sample included 125 people. Assessment tools were the Bar-on Emotional Intelligence Inventory and MBTI (Myers-Briggs Type Indicator) personality type questionnaire. The data were analyzed by SPSS 20 (T-test, analysis of variance, Pearson correlation and multiple regression with significant level P〈0 .05). Pearson correlation coefficients showed there is a significant inverse between variables extroversion-introversion and emotional intelligence with level of .01 (r=-522). Therefore, personality characteristics impact on emotional intelligence of students. Thus, more research of emotional intelligence and personality characteristics is necessary at different levels to selection for nursing profession.
基金supported by Project 71202155 of National Science Funds for Distinguished Young Scientists of China
文摘Due to the rapid development,Internet has become the main field for brand building.Under this circumstance,the image of the brand is always consistent with the consumers' perception.Therefore,this study uses the method of text mining of search engine to explore the categories of brand archetype based on Brand Personality Theory from the perspective of Internet.The results find that 12 brand archetypes,including caregiver,sage,hero,innocent,dominator,creator,vitality,explorer,stylish woman,lover,cooperator,and vogue gentleman,have a high degree explanation.Deeper study uses case study to verify the reasonability and effectiveness of the classification standard.
文摘Analysis of the problem of predicting bankruptcy shows that foreign and domestic models included only internal factors of enterprises. But the same indicators of internal factors in the rapidly changing external environment can lead to bankruptcy, and not in others. External factors are the most dangerous, because the possible influence on them is minimal and the impact of their implementation can be devastating. This paper focuses on the same factors to assess the impact of the macroeconomic indicators (extemal factors) on the parameters of static models predicting a local approximation of the crisis at the plant. To accomplish the purpose, a Spark set of 100 companies was compiled, including 50 companies which officially declared bankruptcy in the period of 2000-2009 and 50 stable operating companies with a random sample of the same time period. External factors were extracted from the Joint Economic and Social Data Archive1 The author compared two data sets: (1) microeconomic indicators--money to the total liabilities, retained earnings to total assets, net profit to revenue, Earnings Before Interest and Taxes (EBIT) to assets, net income to equity, net profit to total liabilities, current liabilities to total assets, the totality of short-term and long-term loans to total assets, current assets to current liabilities, assets to revenue, equity to total assets, and current assets to revenue; and (2) external factors--index of real gross domestic product (GDP), industrial production index, the index of real cash incomes, an index of real investments, consumer price index, the refinancing rate, unemployment rate, the price of electricity, gas prices, oil price, gas price, dollar to ruble, ruble euro Standard & Poor (S&P) index, the Russian Trading System (RTS) index, and region. The aim of the comparison results paging classes "insolvent" and "non-bankrupt" is achieved using two methods: classification and discrimination. In both methods, computational procedures are realized with the use of algorithms linear regression, artificial neural network, and genetic algorithm. In the 2-m model, data set includes both internal and external factors. The results showed that the inclusion of only the microeconomic indicators, excluding external factors, impedes models about two times.
基金The National Natural Science Foundation of China(32161143025,32160279,31960249)The Science and Technology Major Project of Inner Mongolia(2022YFHH0017,2021ZD0011)+1 种基金The Ordos Science and Technology Plan(2022EEDSKJZDZX010,2022EEDSKJXM005)The Mongolian Foundation for Science and Technology(NSFC_2022/01,CHN2022/276)。
文摘Wetlands are important for maintaining global ecosystem functions,mitigating global climate change,and regulating regional climate change.Ecological problems caused by global climate change have had serious impacts on plant distribution patterns in the wetlands of riparian zones,as well as on microbial community habitats in the soil.This study was based on a field sampling survey of the distribution characteristics of plant communities in the Ulson River,combined with remote sensing to obtain the spatial distribution pattern of vegetation in the riparian wetland.High-throughput sequencing technology combined with the characteristics of soil physicochemical factors were then used to explore the distribution characteristics of the community structures of soil bacteria and fungi under different vegetation types in the Ulson River Basin,in order to reveal the pattern of changes of soil microbial microorganisms under the different vegetation types in the wetlands of the riparian area and the factors driving those changes.The results showed an obvious banding phenomenon of wetland vegetation in the Ulson River Basin.Proteobacteria ranked first in relative abundance in all the sample plots and were the dominant bacteria in the study area.Ascomycota and Basidiomycota were the dominant fungi in the study area.In swamp areas,degenerate swamp soils,soil moisture content,and soil bulk density affected the microbial richness directly or indirectly by controlling soil nutrients.Plant aboveground biomass was the most significant factor influencing microbial diversity in a typical wet meadow sample.In salinized meadows and swamped meadows,electrical conductivity affected microbial richness and soil bulk density was the main factor influencing microbial diversity.The findings of this study can provide a theoretical basis for the ecological restoration of degraded riparian wetlands and further clarification of soil ecosystem functions in riparian wetlands.
基金the National Natural Science Foundation of China (81660558,81260437,and 81290341)a Scientific and Technological Basis Special Project grant (2013FY113500) from the Ministry of Science and Technology of PR China+1 种基金Yunnan Provincial Collaborative Innovation Centre for Public Health and Disease Prevention and Control (2015YNPHXT05)the China Scholarship Council (CSC),Beijing,China
文摘Hepatitis E virus(HEV)is the prototype of the family Hepeviridae and the causative agent of common acute viral hepatitis.Genetically diverse HEV-related viruses have been detected in a variety of mammals and some of them may have zoonotic potential.In this study,we tested 278 specimens collected from seven wild small mammal species in Yunnan province,China,for the presence and prevalence of orthohepevirus by broad-spectrum reverse transcription(RT)-PCR.HEV-related sequences were detected in two rodent species,including Chevrier’s field mouse(Apodemus chevrieri,family Muridae)and Père David’s vole(Eothenomys melanogaster,family Cricetidae),with the infection rates of 29.20%(59/202)and 7.27%(4/55),respectively.Further four representative full-length genomes were generated:two each from Chevrier’s field mouse(named Rd HEVAc14 and Rd HEVAc86)and Père David’s vole(Rd HEVEm40 and Rd HEVEm67).Phylogenetic analyses and pairwise distance comparisons of whole genome sequences and amino acid sequences of the gene coding regions showed that orthohepeviruses identified in Chinese Chevrier’s field mouse and Père David’s vole belonged to the species Orthohepevirus C but were highly divergent from the two assigned genotypes:HEV-C1 derived from rat and shrew,and HEV-C2 derived from ferret and possibly mink.Quantitative real-time RT-PCR demonstrated that these newly discovered orthohepeviruses had hepatic tropism.In summary,our work discovered two putative novel genotypes orthohepeviruses preliminarily named HEVC3 and HEV-C4 within the species Orthohepevirus C,which expands our understanding of orthohepevirus infection in the order Rodentia and gives new insights into the origin,evolution,and host range of orthohepevirus.
文摘Animal personalities have been a major focus of behavioral ecology over the past decade. Consistent individual dif ferences in behavior have been found across taxa, and have been shown to influence a range of ecological processes. The role of personalities in sexual selection has been considered, and examples exist that show selection for personality traits with both assortative and disassortative mating patterns between personality types. One overlooked aspect of the personality and sexual se lection literature is the potential for personalitysignaling interactions, specifically with complex signaling. Complex signaling is a diverse topic in itself, and in short, consists of multiple signals within one or more modalities that interact to elicit a receiver response. Research into complex signaling has been thorough, although at times studies discover complex signaling systems that fail to fit into one of the existing hypotheses in the literature. Here, we argue that personalities may interact with complex signal ing, which should be considered by researchers of both personality and sexual selection and communication. We describe several ways in which personalitycomplex signaling interactions could affect both the signaler and receiver, and the way in which they may drive personalityspecific signals as well as receiver preferences. Finally, we discuss how considering personality in com plex signaling studies may inform theory as well as improve the ability of researchers to accurately describe its function.