869 resultados para Loneliness and isolation


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本文通过传统和现代微生物生态学方法,从土壤微生物数量、土壤底物诱导呼吸强度和微生物群落多样性角度,评价了长期污灌所致PAHs污染对土壤微生物特征的影响。结果发现沈抚灌区农田PAHs总量在表层为612.3-6362.81μg•kg-1干土,在亚表层为319.5-4318.51μg•kg-1干土。土壤微生物主要类群、功能群数量、微生物生物量碳和代谢商与土壤PAHs污染程度无明显相关性,土壤底物诱导呼吸强度和所试土壤酶与PAHs含量呈显著正相关,微生物商与PAHs含量呈显著负相关,可以作为土壤PAHs污染评价的敏感生化指标之一。污染稻田土壤细菌群落中优势菌群为β-和γ-变形细菌亚纲的成员,中度PAHs土壤的分支杆菌多样性指数较重度和轻度的略高,PAHs污染使一种或几种分支杆菌得到富集。长期污水灌溉造成土壤固氮细菌种群多样性降低,清水灌溉一段时间后,固氮细菌种群结构得到不同程度的恢复,但是,即使清灌不能使其种群结构得到完全恢复。 通过富集得到一株高效降解芘的细菌N12,经鉴定确认为分支杆菌。经10天培养菌株可将100mg•l-1芘降解97.84%。还可降解菲、苊、芴,不能降解萘、蒽和苯并[a]芘。污染土壤修复实验表明,单一接种菌剂对芘的降解率为57.42%,含N12的混合接种菌剂对芘的降解率为61.11%。

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本研究分为三个部分:1.以坛紫菜(Porphyra haitanesis Chang et Zheng)的叶状体和丝状体为研究对象,比较坛紫菜叶状体和丝状体的光合色素、色素蛋白的组成,并提取纯化藻红蛋白、藻蓝蛋白、藻胆体及类囊体膜和光系统。研究结果表明坛紫菜叶状体和丝状体色素及色素蛋白的含量不同,藻红蛋白是主要的色素蛋白,坛紫菜叶状体和丝状体的藻红蛋白的含量分别为2.9mg藻红蛋白/g鲜重、4.2mg藻红蛋白/g鲜重,这表明坛紫菜叶状体和丝状体藻红蛋白含量丰富,是提取藻红蛋白很好的材料。藻胆体的性质差异不大,但类囊体膜差异显著,从坛紫菜叶状体中分离到了两种不同的类囊体膜带,光系统Ⅰ(PSⅠ)和PSⅡ分别结合在两条类囊体膜带上,但从坛紫菜丝状体中也分离到两条类囊体膜带,它们的光谱性质和蛋白组成相似,仅放氧速率和DCIP活性有差异,从坛紫菜丝状体中我们仅分离到PSⅡ。坛紫菜叶状体PSⅡ有5种外在蛋白(33、20、Cytc 550、15、12kDa蛋白),而坛紫菜丝状体外在蛋白仅有4条,缺少12kDa蛋白。2. 以在中国江苏部分地区进行了大规模的商业化栽培的突变体条斑紫菜(Porphyra yezoensis Ueda)和野生型条斑紫菜为研究对象,比较其色素及色素蛋白组成、对不能光质的利用率及藻胆体的组成。条斑紫菜和突变型条斑紫菜对不同的光质利用效果有差异,在白光的照射下,野生型紫菜的放氧速率最大,而突变型紫菜在黄光照射下的放氧速率最大。条斑紫菜野生型与突变型色素含量上有明显的差异,突变型紫菜的藻红蛋白含量明显减少而藻蓝蛋白的含量增加。通过杂交的方法证实诱变所获得条斑紫菜突变体为细胞质突变,但是突变型紫菜却发生了由细胞核编码的γ亚基的缺失,这表明突变型紫菜藻红蛋白含量和性质发生了明显的变化。3. 为了找出淡水红藻-深紫美芒藻(Compsopogon coeruleus (Balbis) Montagne)分布狭窄及生物产量低的原因,本文对深紫美芒藻在不同的盐离子浓度下的放氧速率及藻胆体色素组成和结构上进行研究。结果显示:微量的NaCl(0.1mM)促进深紫美芒藻放氧,而深紫美芒藻在较高的NaCl(1、10mM), NaH2PO4 (0.1、1、10mM)和 NH4NO3(0.1、1、10mM)溶液中却没有检测到氧气的产生。这与深紫美芒藻生长的环境一致即深紫美芒藻生活在低盐浓度、低营养的泉水中。深紫美芒藻的藻胆体是由藻红蛋白、藻蓝蛋白及别藻蓝蛋白组成,上面结合α、β和γ亚基,含有藻红胆素、藻篮胆素,但缺乏缺少藻尿胆素。

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Achievement motive is human’s social motive. In some sense, one’s all-life achievements are decided by his/her achievement motive. By which we can conclude that achievement motive has close connection with individual emotional experience. People pursuing success experience more positive emotion and less negative one, and have good behavioral adaptability. This study aims at explore the relation between achievement motive and behavior problems in the secondary vocational education schools through questionaries (the achievement motivation scale, UCLA Loneliness Scale,State-Trait Anxiety Inventory,Center for Epidemiologic Studies depression Scale and middle school students'behavior questionnaire). There were 1005 students whose age ranged from 14to21 years completed the questionnaires. The main conclusions of this thesis are as follows: (1) Achievement motive of student in the secondary vocational education schools is significantly lower than that of students in the senior high school. (2) Students in the secondary vocational education schools show more obvious emotion and Externalizing behavior problems than those of the senior high schools. (3) Students’ motivation for pursuing success in the secondary vocational education schools has negative correlation with emotion and Externalizing behavior problem, while the motivation for avoiding failure has positive correlation with the emotion and Externalizing behavior problem. Achievement motivation has negative correlation with emotion and Externalizing behavior problem. (4) Students’ achievement motivation shows obvious gender difference in the secondary vocational education schools. The avoiding failure element shows upward trend with the grades increasing and the difference is obvious. While the students’ achievement motive in the secondary vocational education schools shows significantly downward trend with the grades increasing. Whether holding a post at school has influence on the students’ achievement motivation, and the difference is significant. (5) Students’ Externalizing behavior problem in the secondary vocational education schools shows obvious gender difference. Whether holding a post at school has influence on the students’ Externalizing behavior problem, and depression and loneliness, and the difference is significant. Key words: Students in the Secondary Vocational Education Schools, Achievement Motivation, Behavior Problem, Emotion Problem, Externalizing Behavior Problem (Note: In this study, the behavior problems include not only the externalizing behavior problems, but also emotion problems.)

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Społeczeństwo, w którym egzystuje współczesny człowiek, jest nie tyle trudne, ile bardzo złożone. Dlatego też wielu ludzi nie radzi sobie z różnymi problemami natury osobistej i społecznej. Wielu z nich doświadcza wykluczenia społecznego definiowanego jako efekt różnego rodzaju upośledzeń społecznych, wobec czego jednostka lub grupa nie może w pełni uczestniczyć w życiu gospodarczym, społecznym, ekonomicznym i politycznym społeczeństwa, do którego należy. Podmiotem wykluczenia społecznego jest przede wszystkim jednostka, która na drodze realizacji własnego humanitas została wykluczona w sposób przez siebie zawiniony lub doznała wykluczenia z powodu niewłaściwej polityki państwa. Do najważniejszych problemów lokujących się w obrębie wykluczenia autor zalicza: niepełnosprawność, bezrobocie, bezdomność, uzależnienia, samotność i ubóstwo. Scharakteryzowano przywołane powyżej obszary wykluczenia oraz podjęto próbę wskazania sposobów pomocy jednostkom, które stały się ofiarami wykluczenia. Podstawową instytucją pomagającą tym osobom jest pomoc społeczna, której pierwszym i podstawowym celem jest ulepszanie życia społecznego. Ważne miejsce zajmują w niej pracownicy socjalni, którzy jako jednostki wykształcone i kompetentne mogą wpływać na lepsze życie człowieka. Niestety, współcześnie nie zawsze w wystarczający sposób zaspokajane są podstawowe potrzeby zagubionych osób. Najsilniej dotykają one grupy i jednostki najsłabsze. Wskutek owych braków w polityce społecznej oraz w jej przedmiotowych zakresach: w polityce ludnościowej, rodzinnej, edukacyjnej, mieszkaniowej, polityce podziału dochodu, zabezpieczenia społecznego, zatrudnienia, następuje erozja najsłabszych ogniw systemu społecznego. Konieczne zatem wydaje się otwarcie polityki państwa na różne problemy społeczne, nie zawsze zawinione przez jednostkę, ale przez system, w którym się ona znalazła.

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This paper presents a statistical-based fault diagnosis scheme for application to internal combustion engines. The scheme relies on an identified model that describes the relationships between a set of recorded engine variables using principal component analysis (PCA). Since combustion cycles are complex in nature and produce nonlinear relationships between the recorded engine variables, the paper proposes the use of nonlinear PCA (NLPCA). The paper further justifies the use of NLPCA by comparing the model accuracy of the NLPCA model with that of a linear PCA model. A new nonlinear variable reconstruction algorithm and bivariate scatter plots are proposed for fault isolation, following the application of NLPCA. The proposed technique allows the diagnosis of different fault types under steady-state operating conditions. More precisely, nonlinear variable reconstruction can remove the fault signature from the recorded engine data, which allows the identification and isolation of the root cause of abnormal engine behaviour. The paper shows that this can lead to (i) an enhanced identification of potential root causes of abnormal events and (ii) the masking of faulty sensor readings. The effectiveness of the enhanced NLPCA based monitoring scheme is illustrated by its application to a sensor fault and a process fault. The sensor fault relates to a drift in the fuel flow reading, whilst the process fault relates to a partial blockage of the intercooler. These faults are introduced to a Volkswagen TDI 1.9 Litre diesel engine mounted on an experimental engine test bench facility.

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Abstract 2,4-Dinitrophenol was employed with benzyloxy-bis-(diisopropylamino)phosphine to synthesise the cyclic phosphate derivatives of a series of alkane diols (HO–(CH2)n–OH, n=2–6) in good isolated yields. Tetrazole and DNP were compared by 31P NMR spectroscopy for their ability to catalyse the cyclisation at the P(III) stage. Investigation of the phosphate triester stability under various oxidation and chromatographic conditions resulted in the optimisation of the isolation procedures of the chemically unstable cyclic compounds. Conditions for debenzylation were developed to yield the corresponding cyclic phosphodiesters quantitatively. The methodology was further applied to the preparation and isolation of the cyclic phosphate derivative of a carbohydrate.

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Free-radical polymerization of methyl methacrylate and styrene using conventional organic initiators in the room temperature ionic liquid, 1-butyl-3-methylimidazolium hexafluorophosphate ([ C(4)mim][PF6]) is rapid and produces polymers with molecular weights up to 10x higher than from benzene; both polymerization and isolation of products were achieved without using VOCs, offering economic as well as environmental advantages.

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This paper presents two new approaches for use in complete process monitoring. The firstconcerns the identification of nonlinear principal component models. This involves the application of linear
principal component analysis (PCA), prior to the identification of a modified autoassociative neural network (AAN) as the required nonlinear PCA (NLPCA) model. The benefits are that (i) the number of the reduced set of linear principal components (PCs) is smaller than the number of recorded process variables, and (ii) the set of PCs is better conditioned as redundant information is removed. The result is a new set of input data for a modified neural representation, referred to as a T2T network. The T2T NLPCA model is then used for complete process monitoring, involving fault detection, identification and isolation. The second approach introduces a new variable reconstruction algorithm, developed from the T2T NLPCA model. Variable reconstruction can enhance the findings of the contribution charts still widely used in industry by reconstructing the outputs from faulty sensors to produce more accurate fault isolation. These ideas are illustrated using recorded industrial data relating to developing cracks in an industrial glass melter process. A comparison of linear and nonlinear models, together with the combined use of contribution charts and variable reconstruction, is presented.

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Subspace monitoring has recently been proposed as a condition monitoring tool that requires considerably fewer variables to be analysed compared to dynamic principal component analysis (PCA). This paper analyses subspace monitoring in identifying and isolating fault conditions, which reveals that the existing work suffers from inherent limitations if complex fault senarios arise. Based on the assumption that the fault signature is deterministic while the monitored variables are stochastic, the paper introduces a regression-based reconstruction technique to overcome these limitations. The utility of the proposed fault identification and isolation method is shown using a simulation example and the analysis of experimental data from an industrial reactive distillation unit.

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A conservation priority in the marine environment is the establishment of ecologically coherent reserve networks. Since these networks will integrate existent reserves, an understanding of spatial genetic diversity and genetic connectivities between areas is necessary. Using Strangford Lough marine nature reserve (MNR) as a model, spatial genetic analyses were employed to evaluate the function of the lough. Samples of the marine gastropod Nucella lapillus (L.) from 7 locations in the reserve and adjacent areas were screened at 6 microsatellites. Genetic variation was temporally stable. Significant genetic structuring (F-ST = 0.133) was observed among samples. Genetic divergence and isolation by distance indicated reduced gene flow between the marine reserve and coastal samples relative to that between adjacent coastal samples. Partitioning of genetic variation between the reserve and coast was significant (AMOVA, 7.45%, p

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A sentence of exile was a regular feature of the Russian revolutionary’s underground career. In order to survive this punishment and continue their struggle against Tsarism, revolutionaries relied on help from their fellow exiles, their party, the Political Red Cross and, often, their families. Historians have rarely acknowledged the role of kin in supporting the revolutionary movement and very few studies have noted the attempts by families to mitigate the worst aspects of a sentence of exile. This article explores the ways in which spouses and siblings, parents and children obtained concessions from the Tsarist authorities regarding their loved ones’ sentences of exile, helped off-set the poverty to which many exiles were reduced, and, above all, combated the sense of loneliness and depression to which those in exile were exposed. This article argues that such familial support had a collective and positive impact on revolutionaries’ experience of exile. More broadly it provides an illuminating case study of the blurred space between public and private which the revolutionary occupied and highlights the way in which the movement depended on help from sympathisers and family members in order to function effectively on a daily basis.

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The design and characterizations of an ultrafast single-pole single-throw (SPST) absorptive differential switch are presented. The switch exhibits low insertion loss less than 1 dB, and isolation better than 16 dB from 40 to 70 GHz. Sub-nanosecond switching time is achieved by adopting a differential current-steering technique. The total measured rise and fall time are 75 ps envisaging that switching rates up to 13 Gb/s are achievable. To our best knowledge, this is the fastest, lowest insertion loss V-band SPST switch yet reported that can operate over a wide bandwidth of 30 GHz.

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The enhanced stability of new mono-cis-dihydrodiol bacterial metabolites of tricyclic azaarenes has facilitated the dioxygenase-catalysed formation and isolation of the corresponding bis-cis-dihydrodiols (cis-tetraols) and a three step chemoenzymatic route to the derived arene oxide mammalian metabolites.

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Little is known about the microevolutionary processes shaping within river population genetic structure of aquatic organisms characterized by high levels of homing and spawning site fidelity. Using a microsatellite panel, we observed complex and highly significant levels of intrariver population genetic substructure and Isolation-by-Distance, in the Atlantic salmon stock of a large river system. Two evolutionary models have been considered explaining mechanisms promoting genetic substructuring in Atlantic salmon, the member-vagrant and metapopulation models. We show that both models can be simultaneously used to explain patterns and levels of population structuring within the Foyle system. We show that anthropogenic factors have had a large influence on contemporary population structure observed. In an analytical development, we found that the frequently used estimator of genetic differentiation, F-ST, routinely underestimated genetic differentiation by a factor three to four compared to the equivalent statistic Jost's D-est (Jost 2008). These statistics also showed a near-perfect correlation. Despite ongoing discussions regarding the usefulness of "adjusted" F-ST statistics, we argue that these could be useful to identify and quantify qualitative differences between populations, which are important from management and conservation perspectives as an indicator of existence of biologically significant variation among tributary populations or a warning of critical environmental damage.