In recent years technical analysis has been used more and more frequently. The original concept of technical analysis is built on history will be continue to repeat itself. Therefore, analysts and investors could predict the market price by observing the historical data. The idea of pattern recognition technology comes from face recognition systems. In the system, the analyst captures the facial features from the entrant and then quantifies the features as codes. Through the process of recognition, the analyst can confirm the identity of the entrant. Pattern recognition applies the idea to extract information encoded in the stock market characteristics and recognize the market with historical data. In the application, pattern recognition can be regarded as a pre-operation of the technical analysis. Users analyze the current information through pattern recognition and can further build the strategy. This model has 19 codes captured from two dimensions; the first is price, and the second is the trend of ups and downs. The empirical results for the decade in the weekly frequency trading strategy are an annual return of 31.57% and annual risk of 26.66%. After the deduction of trading fees, the strategy has an annual return of 14.94% and annual risk of 26.72%.

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Les rétrotransposons L1 (Long INterspersed Element-1) sont des éléments génétiques mobiles dont l'activité contribue à la dynamique du génome humain par mutagenèse insertionnelle. Les conséquences génétiques et épigénétiques d'une nouvelle insertion, et la capacité d'un L1 à être remobilisé, sont directement liées au site d’intégration dans le génome. Aussi, l’analyse des sites d’intégration des L1s est capitale pour comprendre leur impact fonctionnel - voire pathogène -, en particulier lors de la tumorigenèse ou au cours du vieillissement, et l’évolution de notre génome. Dans ce but, nous avons induit de façon expérimentale la rétrotransposition d'un élément L1 actif plasmidique dans des cellules en culture. Puis, nous avons cartographié les insertions obtenues de novo dans le génome humain grâce à une méthode de séquençage à haut-débit, appelée ATLAS-seq. Finalement, les sites pré-intégratifs identifiés par cette approche ont été analysés en relation avec un grand jeu de données publiques regroupant les caractéristiques structurales, génétiques ou épigénétiques de ces loci. Ces expériences ont révélé que les éléments L1 s’intègrent préférentiellement dans des régions de la chromatine faiblement exprimées et renfermant des activateurs faibles. Nous avons aussi trouvé plusieurs positions chromosomiques qui constituent des points chauds d'intégrations récurrentes. Nos résultats indiquent que la distribution des insertions de L1 de novo n’est pas aléatoire, que ce soit à l’échelle chromosomique ou à plus petite échelle, et ouvrent la porte à l'identification des déterminants moléculaires qui contrôlent la distribution chromosomique des L1s dans notre génome / Retrotransposons are mobile genetic elements that employ an RNA intermediate and a reverse transcription step for their replication. Long INterspersed Elements-1 (LINE-1 or L1) form the only autonomously active retrotransposon family in humans. Although most copies are defective due to the accumulation of mutations, each individual genome contains an average of 100 retrotransposition-competent L1 copies, which contribute to the dynamics of contemporary human genomes. L1 integration sites in the host genome directly determine the genetic consequences of the integration and the fate of the integrated copy. Thus, where L1 integrates in the genome, and whether this process is random, is critical to our understanding of human genome evolution, somatic genome plasticity in cancer and aging, and host-parasite interactions. To characterize L1 insertion sites, rather than studying endogenous L1 which have been subjected to evolutionary selective pressure, we induced de novo L1 retrotransposition by transfecting a plasmid-borne active L1 element into HeLa S3 cells. Then, we mapped de novo insertions in the human genome at nucleotide resolution by a dedicated deep-sequencing approach, named ATLAS-seq. Finally, de novo insertions were examined for their proximity towards a large number of genomic features. We found that L1 preferentially integrates in the lowly-expressed and weak enhancer chromatin segments. We also detected several hotspots of recurrent L1 integration. Our results indicate that the distribution of de novo L1 insertions is non-random both at local and regional scales, and pave the way to identify potential cellular factors involved in the targeting of L1 insertions

Since the development of high-throughput technologies, we can capture large quantities of gene¡¦s expression data from DNA microarray data, so there are some technologies have been proposed to model gene regulatory networks. Gene regulatory networks is mainly used to express the relationship between the genes, but only can express a simple relationship, and can¡¦t clearly show how the operation between genes regulatory. In the simulation method of gene regulation, the mathematical methods are more often used. In the mathematical methods, S-system is the most widely used in non-linear differential equations. When the use of mathematical simulation of gene regulatory networks, there are mainly two aspects¡G(1) deciding on the model structure and (2) estimating the involved parameter values. However, when using S-system simulated the gene regulatory networks, we can only know the gene profiles, and there is no way to know the regulatory relationships between genes, but in order to understand the relationship between genes, we must clearly understand how genes work. Therefore, we propose to encode parameter values to infer the regulatory parameter values between genes. We propose the method of encoding parameter values, and using six artificial genetic datasets, and assuming 100% parameter values are known, 90% known, 70% known, 50% known, 30% known, 10% known. The experimental results show, besides it can infer a high proportion of non-regulation, positive regulation and negative regulation, also can infer more precise parameter values, and also has a clear understanding of the regulatory relationship between genes.

Orientador: Helio Langoni / Banca: Márcio Garcia Ribeiro / Banca: Nilson Robeti Benites / Resumo: Alguns dos agentes patogênicos de mastite bovina são relevantes em relação à qualidade do leite, bem como, para a saúde pública. Foram estudadas dez fazendas localizadas em cinco regiões do estado de São Paulo. Foram examinadas 1.148 vacas, correspondentes a 4.592 glândulas mamárias avaliadas pelos testes de tamis e CMT. Foram colhidas 1.318 amostras de leite, das vacas positivas na triagem para avaliação microbiológica e contagem de células somáticas (CCS). A frequência dos agentes variou de 0,3 a 36,4%. Do total de isolados de Staphylococcus spp (36,4%), 48,7% corresponderam a estafilococos coagulase negativa (SCN), 34,2% S. aureus e 15,9% outros estafilococos coagulase positiva (SCP). Streptococcus spp foram isolados de 23,3% das amostras, dos quais 41,7% Streptococcus. agalactiae, 41,1% Streptococcus dysgalactiae e 17,3% Streptococcus uberis. Corynebacterium spp. foram isolados em 31,8% dos casos de mastite. As amostras de leite das glândulas mamárias infectadas apresentaram CCS significativamente mais elevada que as negativas. Dos 48,7% de SCN foram identificadas 18 espécies: S. warneri, S. epidermidis, S. hyicus, S. xylosus, S. haemolyticus, S. auriculares, S. cohnii subsp cohnii, S. lugdunensis, S. pasteuri, S. saccharolyticus, S. saprophyticus subsp bovis, S. schleiferi subsp scheleiferi, S. simulans, S. saccharolyticus, S. capitis, S. saprophyticus subsp saprophyticus, S. sciuri subsp sciuri e S. chromogenes. As fazendas, II (27,3%) e III (26,7%) apresentaram maior frequência de SCN, enquanto as fazendas I (13,3%) e X (44,4%) revelaram maior prevalência de SCP sendo as diferenças significantes. Foram avaliados por PCR 263 estafilococos para detecção de gene codificadores das enterotoxinas clássicas. Entre os SCN foram detectados: sea (35,5%) seb (7,1%), sec (6,5%), sed (1,8%) e associações destes genes. Em SCP foram detectados: sea (9,5%) seb (4,4%)... (Resumo completo, clicar acesso eletrônico abaixo) / Abstract: The purpose of this study was to assess the occurrence of mastitis cases in ten Brazilian dairy herds located in five regions in São Paulo state, to characterize the main etiological agents and, to proceed staphylococcal isolates identification to species level, to perform detection by PCR assays of enterotoxin encoded genes aiming the awareness of their potential capability in producing the classical enterotoxins and, mecA a methicilin resistance gene and, evaluated resistance toward antimicrobials. A total of 4,592 mammary glands of 1,148 dairy cows were examined by strip cup and CMT. From these 1,318 milk samples were collected for microbiological exams. It was isolated 263 (19.9%) staphylococci from mastitis cases and they were identified, as being: S.aureus (34.2%), other CPS (15.9%) respectively, S. intermedius (15.2%), S.hyicus(12.9%) and, S. schleiferi subsp coagulans(3.8%), and CNS (48.7%). Among these 128 CNS isolates eighteen species were identified: S. xylosus, S. haemolyticus, S. auriculares; S. cohnii subsp cohnii, S. lugdunensis, S. pasteuri, S. saccharolyticus, S. saprophyticus subsp bovis, S. schleiferi subsp scheleiferi, S. simulans, S. capitis, S. saprophyticus subsp saprophyticus, S. sciuri subsp sciuri and, S. chromogenes. The more frequently isolated species were: S.warneri (31.3%), S. epidermidis (14.8%) and S.hyicus (12.5%). The milk samples from infected mammary glands showed higher CCS than the negatives. PCR assay was used to determine the presence of classical enterotoxin codifying genes (sea, seb, sec and sed). Among CNS the occurrence of enterotoxin classical genes was determined as: 35.1% for sea, 7.1% for seb, 6.5% for sec, 1.8% for sed) 5.3% for both sea and seb, 3.6% for both sea, sec and sed, 1.8% for both sec and sed. Whereas among CPS isolates the occurrence of enterotoxin... (Complete abstract click electronic access below) / Mestre

Made available in DSpace on 2014-06-11T19:29:32Z (GMT). No. of bitstreams: 0 Previous issue date: 2011-06-27Bitstream added on 2014-06-13T20:59:44Z : No. of bitstreams: 1 guimaraes_ff_me_botfmvz.pdf: 668649 bytes, checksum: 605a29631d65d4e6c7ea318a710ab952 (MD5) / Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) / Alguns dos agentes patogênicos de mastite bovina são relevantes em relação à qualidade do leite, bem como, para a saúde pública. Foram estudadas dez fazendas localizadas em cinco regiões do estado de São Paulo. Foram examinadas 1.148 vacas, correspondentes a 4.592 glândulas mamárias avaliadas pelos testes de tamis e CMT. Foram colhidas 1.318 amostras de leite, das vacas positivas na triagem para avaliação microbiológica e contagem de células somáticas (CCS). A frequência dos agentes variou de 0,3 a 36,4%. Do total de isolados de Staphylococcus spp (36,4%), 48,7% corresponderam a estafilococos coagulase negativa (SCN), 34,2% S. aureus e 15,9% outros estafilococos coagulase positiva (SCP). Streptococcus spp foram isolados de 23,3% das amostras, dos quais 41,7% Streptococcus. agalactiae, 41,1% Streptococcus dysgalactiae e 17,3% Streptococcus uberis. Corynebacterium spp. foram isolados em 31,8% dos casos de mastite. As amostras de leite das glândulas mamárias infectadas apresentaram CCS significativamente mais elevada que as negativas. Dos 48,7% de SCN foram identificadas 18 espécies: S. warneri, S. epidermidis, S. hyicus, S. xylosus, S. haemolyticus, S. auriculares, S. cohnii subsp cohnii, S. lugdunensis, S. pasteuri, S. saccharolyticus, S. saprophyticus subsp bovis, S. schleiferi subsp scheleiferi, S. simulans, S. saccharolyticus, S. capitis, S. saprophyticus subsp saprophyticus, S. sciuri subsp sciuri e S. chromogenes. As fazendas, II (27,3%) e III (26,7%) apresentaram maior frequência de SCN, enquanto as fazendas I (13,3%) e X (44,4%) revelaram maior prevalência de SCP sendo as diferenças significantes. Foram avaliados por PCR 263 estafilococos para detecção de gene codificadores das enterotoxinas clássicas. Entre os SCN foram detectados: sea (35,5%) seb (7,1%), sec (6,5%), sed (1,8%) e associações destes genes. Em SCP foram detectados: sea (9,5%) seb (4,4%)... / The purpose of this study was to assess the occurrence of mastitis cases in ten Brazilian dairy herds located in five regions in São Paulo state, to characterize the main etiological agents and, to proceed staphylococcal isolates identification to species level, to perform detection by PCR assays of enterotoxin encoded genes aiming the awareness of their potential capability in producing the classical enterotoxins and, mecA a methicilin resistance gene and, evaluated resistance toward antimicrobials. A total of 4,592 mammary glands of 1,148 dairy cows were examined by strip cup and CMT. From these 1,318 milk samples were collected for microbiological exams. It was isolated 263 (19.9%) staphylococci from mastitis cases and they were identified, as being: S.aureus (34.2%), other CPS (15.9%) respectively, S. intermedius (15.2%), S.hyicus(12.9%) and, S. schleiferi subsp coagulans(3.8%), and CNS (48.7%). Among these 128 CNS isolates eighteen species were identified: S. xylosus, S. haemolyticus, S. auriculares; S. cohnii subsp cohnii, S. lugdunensis, S. pasteuri, S. saccharolyticus, S. saprophyticus subsp bovis, S. schleiferi subsp scheleiferi, S. simulans, S. capitis, S. saprophyticus subsp saprophyticus, S. sciuri subsp sciuri and, S. chromogenes. The more frequently isolated species were: S.warneri (31.3%), S. epidermidis (14.8%) and S.hyicus (12.5%). The milk samples from infected mammary glands showed higher CCS than the negatives. PCR assay was used to determine the presence of classical enterotoxin codifying genes (sea, seb, sec and sed). Among CNS the occurrence of enterotoxin classical genes was determined as: 35.1% for sea, 7.1% for seb, 6.5% for sec, 1.8% for sed) 5.3% for both sea and seb, 3.6% for both sea, sec and sed, 1.8% for both sec and sed. Whereas among CPS isolates the occurrence of enterotoxin... (Complete abstract click electronic access below)

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The purpose of this thesis is to investigate how international development organizations are working to communicate campaigns and photographs from one cultural context to another. Additionally, will challenges in making campaigns which are both ethical appropriate and engaging be highlighted and discussed in relation to today’s impatient media landscape where globalization and development are dominated by economic interests. This research follows the international development cooperation We Effect and explore their whole media production process while making external communication from the work in Kenya to the target group in Sweden. The researcher has done interviews with decision makers at the head office in Stockholm, regional communicators in Nairobi, independent photographers and farmers in the fields of Kenya, visible in We Effect’s campaigns in Sweden. Additionally, ethnographical observations and diary notes contribute to answer the question how international organizations are planning, creating and distributing ethical and engaging media about development organizations long-term development work. In theoretical discussions, anchored in concepts about global culture, cosmopolitanism and how to mediate distant others, together with previous literature by Lilie Chouliaraki, Roger Silverstone and Stuart Hall, will this research state that there are several challenges in communicating messages from one cultural context to another. The distance, both geographical and mental, makes it challenging for the media producers and spectators to understand the same message; this research states that both the media producers and spectators’ interpretations of photographs and messages are dependent on their cultural background.