986 resultados para 327.587
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应用原子吸收光谱(AAS),X射线衍射(XRD)和电子自旋共振(ESR)方法对工业及民用陶瓷釉进行了研究。实验表明:陶瓷釉的主要化学成分为Al2O3、SiO2,少量为K2O、Na2O、MgO、CaO和微量的TiO2、Fe2O3、S等;矿物相有石英、伊利石、方解石、长石、高岭石和滑石等。生釉经不同温度焙烧后,无论是化学成分、矿物相、微量杂南元素的价态及含量均发生的变化。讨论了在不同温度下的化学组分.
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成矿物质来源是研究矿床成因的关键问题之一,而地质体(地层和岩浆岩)成矿元素的含量高低是探讨成矿物质来源的基础.为了研究白牛厂超大型银多金属矿床主要成矿元素特征,本文系统测定了外围赋矿地层以及矿区花岗岩和花岗斑岩的成矿元素(Ag、Pb、Zn、Sn)含量,结果表明,Pb、Zn主要来源于矿区花岗岩,寒武系及下伏基底地层可能也提供了部分成矿物质,特别是Zn;由于矿区外围赋矿地层的Sn含量远低于Pb、Zn的含量,也远远低于地壳克拉克值,因此推测,Sn主要来源于花岗岩浆;Ag则主要来源于赋矿地层,花岗岩对其进行了后期的改造作用.
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滇西地区基性-超基性岩、碱性岩中的长石、石榴子石、橄榄石等单矿物及羊拉铜矿区二叠世海相玄武岩的铜铅同位素组成可以代表原始地幔的铅同位素组成,由此确定的该区上地幔铅同位素组成变化范围为^206Pb/^204Pb=17.877-18.506,平均18.108,^207Pb/^204Pb=15.470-15.587,平均15.479,^208Pb/^204Pb=37.797-38.567,平均38.177。研究发现,由于受地壳物质的混染和成岩后U、Th衰变产生的放射成因铅的影响,这些幔源岩石全岩铅同位素组成已不能代表原始上地幔的铅同位素组成;金顶铅锌矿床的铅并非上地幔来源,而是相当于下地壳来源的铅与兰坪盆地沉积岩铅二者的混合铅.
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本文利用放射成因同位素(Pb、Sr)和轻稳定同位素(C、O)对锡矿山超大型锑矿床的成矿物质来源进行了示踪,从物源角度揭示了其在规模成矿、元素发生超常富集的原因。研究表明,锡矿山锑矿床的成矿物质不可能是来自赋矿围岩;深部地幔和基底都卷入了该矿的成矿作用;富Sb的交代型地幔和富Sb的元古界基底为其大规模成矿提供了充足的矿源,两者是形成锡成山超大型锑矿床的前提条件。
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镁铁岩-超镁铁岩侵人体中常常含有少量及微量硫化物,它们是硅酸盐岩浆与硫化物熔体不混溶作用的产物。由于岩石圈环境下铂族元素亲硫性的制约,当硅酸盐岩浆与硫化物熔体呈液态熔离时,铂族元素便被硫化物熔体所捕集和运载,尔后在重力分异过程中下沉到岩盆底部富集成矿。能否依据岩盆上部岩浆熔离硫化物的铂族元素丰度值来判断岩盆深部铂族元素潜在成矿能力呢?这是本文试图回答的问题.
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A novel sol-gel process has been developed for the synthesis of amorphous silica-aluminas with controlled mesopore distribution without the use of organic templating agents, e.g., surfactant molecules. Ultrasonic treatment during the synthesis enables production of precursor sols with narrow particle size distribution. Atomic force microscopy analysis shows that these sol particles are spherical in shape with a narrow size distribution (i.e., 13-25 nm) and their aggregation during the gelation creates clusters containing similar sized interparticle mesopores. A nitrogen physiadsorption study indicates that the mesoporous materials containing different Si/Al ratios prepared by the new synthesis method has a large specific surface area (i.e., 587-692 m(2)/g) and similar pore sizes of 2-11 nm. Solid-state Al-27 magic angle spinning (MAS) NMR shows that most of the aluminum is located in the tetrahedral position. A transmission electron microscopy (TEM) image shows that the mesoporous silica-alumina consists of 12-25 nm spheres. Additionally, high-resolution TEM and electron diffraction indicate that some nanoparticles are characteristic of a crystal, although X-ray diffraction and Si-29 MAS NMR analysis show an amorphous material.
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To study the relationship between mental-physical health and coping behavior,job stress and job motivation in medical laboratory scientists and technicians. A cross-section survey was conducted,using the anxiety rating scale(SAS), depression rating scale(SDS), coping behavior rating scale,self-rating subhealth scale,self-rating stress scale,and self-rating job motivation scale among 289 medical laboratory scientists and technicians with analysis of ANOVA and Regression. The study was carried out in three steps:step1 is to analyze the general situation of the mental-physical health.Step 2 is to analyze the features of the main influencial facotors.Step 3 is to study the influence of the relative factors on mental-physical health.The following are the results: 1.The anxiety and depression scores of the medical researchers and technicians were 30±6 and 37±8 respectively,both significantly lower than those of the national norm(34±6 and 42±11 respectively,both P<0.01),which are of significant difference. The depression score of the associate chief technician was 42±7, significantly higher than those of the medical researchers and technicians with any other professional titles (all P<0.05), and the anxiety score of the associate chief technicians was 32±7, significantly higher than that of the research fellows(28±4, P<0.05),with no significant difference to the score of the medical researchers and technicians with other professional titles. The depression score,anxiety score and the subhealth score of the age group of 36~49 were 39±9,31±7 and 32±9 respectively, both higher than that of the age group of 20~35 (36±8,29±6 and 29±7 respectively,both P<0.05),while there is much diference among other age groups. And the subhealth status has nothing to do with marital status,education background and professional titles. 2.The coping behaviors,job stress and motivation of the military medical laboratory scientists and technicians. 1)Coping behaviors:The seeking help score of the associate chief technicians was 2.8±0.5,not significantly different from that of the associate research fellows(2.8±0.5),but significantly lower than those of the medical researchers and technicians with other professional titles(all P<0.01),and whose self-blame score was higher than that of the research fellows,which is of significant difference.The self-blame score and the imagination score of the associate research fellows were 2.0±0.5 and 2.4±0.5 respectively, significantly higher than that of the research fellows(1.6±0.4, 2.1±0.4,both P<0.01). The seeking help score of the females was 3.1±0.5, significantly higher than that of the males(2.9±0.5, both P<0.01),and the solving problem score was 3.4±0.6,significantly lower than the male(3.6±0.7, both P<0.01).There is no any significant difference in coping behaviors among researchers and technicians of different marital status,education background and age groups. 2)Job stress: The score of job stress of the age group of 35~49 and 50~60 were 23±8 and 25±6 respectively,significantly higher than that of the 20~35(21±7,both P<0.05). There is no any significant difference in job stress among researchers and technicians of different marital status,gender,professional titles and education background. 3)The score of meeting personal desire for reputation and interests of the males was 19.6±5.4,significantly higher than that of the females(18.4±5.0, both P<0.05), while there is no significant difference in job motivation among researchers and technicians of different titles,education,age and marital status. 3.The relationship of the mental-physical health of the military medical laboratory scientists and technicians with their coping behaviors,job stress and motivations 1) Coping behaviors:Regression analysis showed that, the best predictors of subhealth were anxiety,depression and escaping (β=-0.40,β=0.23, β=0.14, both P<0.01).the best predictors of anxiety and depression were active coping behaviors and negative coping behaviors (β=-0.40,β=0.40, both P<0.01).The moderate(rational) coping behaviors is the best predictor only of anxiety and of significant difference. 2)job stress : Regression analysis demonstrated that anxiety,depression,job stress 2 and job stress 4 are the best predictor for subhealth;job stress 12 is the best retro-predictor for depression; job stress 3 and 8 are the best predictor for depression;and job stress 2 and 9 are the best predictor for anxiety ,which are of significant difference. 3)Motivation:Regression analysis demonstrated that depression is the best predictor for subhealth while motivation itself doesn't predict subhealth;with respect to the specific contents of motivation,"probing unknown rules and making contributions to the human society "is the best retro-predictor for depression and has nothing to do with anxiety prediction. 4) The combined influences of coping behaviors,job stress and motivations: Regression analysis showed that, the best predictors for subhealth were anxiety,depression and job stress(β=0.41,β=0.24, β=0.19, both P<0.01).the best predictors for anxiety and depression were active coping behaviors and negative coping behaviors (β=-0.40,β=0.40, both P<0.01).The moderate(rational) coping behaviors is the best predictor only for anxiety and of significant difference. CONCLUSIONS: Regression analysis showed that the best predictors for anxiety and depression were active coping behaviors and negative coping behaviors, the best predictors for subhealth were anxiety,depression and job stress.Coping behaviors, job stress and motivations have significant influences on the mental-physical health of the military medical researchers and and technicians. Among them,coping behavior is the most important factor while job stress and motivation follow. Seeking help more often,less self-blame ,imagination and job stress could help release the anxiety, depression and improve the subhealth of the medical researchers and technicians. The findings of this study indicate we should address the physical and mental health of the military laboratory researchers and technicians.
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As culturas da soja [Glycine max (L.) Merril] e do feijoeiro (Phaseolus vulgaris) sao de grande importancia economica e social para o Brasil e ambas podem ser capazes de suprir suas necessidades do nutriente nitrogenio pela simbiose com bacterias da familia Rhizobiaceae. Para garantir a maximizacao do processo biologico, porem, deve-se proceder a inoculacao das sementes com estirpes de rizobio eficientes e competitivas, recomendadas pela pesquisa. No Brasil, sao comercializadas, anualmente, cerca de 13 milhoes de doses de inoculantes, sendo 99% destinadas a cultura da soja. Neste trabalho, determinou-se a posicao taxonomica das estirpes de rizobio recomendadas comercialmente para as duas culturas por duas tecnicas, o RFLP-PCR da regiao correspondente ao 16S rRNA (regiao conservada entre bacterias mas suficientemente variavel e carregando informacoes que permitem a determinacao das relacoes filogeneticas entre bacterias) e o sequenciamento parcial dos genes desta regiao. O sequenciamento parcial permitiu definir que duas das estirpes recomendadas para a cultura da soja, SEMIA 587 e SEMIA 5019, pertencem a especie Bradyrhizobium elkanii e as duas outras, SEMIA 5079 e SEMIA 5080, a especie B. japonicum. As duas estirpes recomendadas para a cultura do feijoeiro, SEMIA 4077 e SEMIA 4080, pertencem a especie Rhizobium tropici. As sequencias obtidas para essas estirpes foram depositadas no banco mundial de genes.
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Tecnologia para a melhoria da qualidade de sementes de soja; Aperfeiçoamento e utilização de métodos para a melhoria da qualidade de semente de soja (04.2000.327-01); Adequação da metodologia de testes de vigor para sementes de soja (04.2000.327-02); Estudo das técnicas de produção de sementes de soja (04.2000.327-03); Peletização de sementes de soja (04.2000.327-04).