925 resultados para Data clustering. Fuzzy C-Means. Cluster centers initialization. Validation indices
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Tässä tutkimuksessa tutkittiin aineettoman pääoman merkitystä alkavan yrityksen rahoituksen saantiin. Tutkimuksen teoreettinen osuus toteutettiin kirjallisuuskatsauksena. Tutkimuksen empiirinen osuus toteutettiin laadullisena tutkimuksena. Tutkimusaineisto kerättiin puolistrukturoiduilla yksilöllisillä teemahaastatteluilla alkavan yrityksen ensisijaisilta rahoittajilta, joita katsottiin olevan Elinkeino-, liikenne- ja ympäristökeskus, Teknologian kehittämiskeskus Tekes, Keksintösäätiö, Finnvera Oyj ja pankit. Tutkimuksen tuloksena selvisi, että aineettomalla pääomalla on tärkeä merkitys alkavan yrityksen rahoituksen saantiin. Mikäli alkavalla yrittäjällä ei ollut aineetonta pääomaa, alkava yritys ei saanut rahoitusta vaikka vakuudet olisivat olleet kunnossa. Tämän johdosta, nyt tulisi valita mittarit, joilla pystytään mittaamaan rahoituksen kannalta vaikuttavat aineettoman pääoman menestystekijät ja raportoimaan nämä. Jotta yritykset olisivat rahoittajan kannalta vertailukelpoisia, tulisi rahoittajan määritellä mittarit, joihin se rahoitusta myöntäessään kiinnittää huomiota.
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Early identification of beginning readers at risk of developing reading and writing difficulties plays an important role in the prevention and provision of appropriate intervention. In Tanzania, as in other countries, there are children in schools who are at risk of developing reading and writing difficulties. Many of these children complete school without being identified and without proper and relevant support. The main language in Tanzania is Kiswahili, a transparent language. Contextually relevant, reliable and valid instruments of identification are needed in Tanzanian schools. This study aimed at the construction and validation of a group-based screening instrument in the Kiswahili language for identifying beginning readers at risk of reading and writing difficulties. In studying the function of the test there was special interest in analyzing the explanatory power of certain contextual factors related to the home and school. Halfway through grade one, 337 children from four purposively selected primary schools in Morogoro municipality were screened with a group test consisting of 7 subscales measuring phonological awareness, word and letter knowledge and spelling. A questionnaire about background factors and the home and school environments related to literacy was also used. The schools were chosen based on performance status (i.e. high, good, average and low performing schools) in order to include variation. For validation, 64 children were chosen from the original sample to take an individual test measuring nonsense word reading, word reading, actual text reading, one-minute reading and writing. School marks from grade one and a follow-up test half way through grade two were also used for validation. The correlations between the results from the group test and the three measures used for validation were very high (.83-.95). Content validity of the group test was established by using items drawn from authorized text books for reading in grade one. Construct validity was analyzed through item analysis and principal component analysis. The difficulty level of most items in both the group test and the follow-up test was good. The items also discriminated well. Principal component analysis revealed one powerful latent dimension (initial literacy factor), accounting for 93% of the variance. This implies that it could be possible to use any set of the subtests of the group test for screening and prediction. The K-Means cluster analysis revealed four clusters: at-risk children, strugglers, readers and good readers. The main concern in this study was with the groups of at-risk children (24%) and strugglers (22%), who need the most assistance. The predictive validity of the group test was analyzed by correlating the measures from the two school years and by cross tabulating grade one and grade two clusters. All the correlations were positive and very high, and 94% of the at-risk children in grade two were already identified in the group test in grade one. The explanatory power of some of the home and school factors was very strong. The number of books at home accounted for 38% of the variance in reading and writing ability measured by the group test. Parents´ reading ability and the support children received at home for schoolwork were also influential factors. Among the studied school factors school attendance had the strongest explanatory power, accounting for 21% of the variance in reading and writing ability. Having been in nursery school was also of importance. Based on the findings in the study a short version of the group test was created. It is suggested for use in the screening processes in grade one aiming at identifying children at risk of reading and writing difficulties in the Tanzanian context. Suggestions for further research as well as for actions for improving the literacy skills of Tanzanian children are presented.
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To study the dendritic morphology of retinal ganglion cells in wild-type mice we intracellularly injected these cells with Lucifer yellow in an in vitro preparation of the retina. Subsequently, quantified values of dendritic thickness, number of branching points and level of stratification of 73 Lucifer yellow-filled ganglion cells were analyzed by statistical methods, resulting in a classification into 9 groups. The variables dendritic thickness, number of branching points per cell and level of stratification were independent of each other. Number of branching points and level of stratification were independent of eccentricity, whereas dendritic thickness was positively dependent (r = 0.37) on it. The frequency distribution of dendritic thickness tended to be multimodal, indicating the presence of at least two cell populations composed of neurons with dendritic diameters either smaller or larger than 1.8 µm ("thin" or "thick" dendrites, respectively). Three cells (4.5%) were bistratified, having thick dendrites, and the others (95.5%) were monostratified. Using k-means cluster analysis, monostratified cells with either thin or thick dendrites were further subdivided according to level of stratification and number of branching points: cells with thin dendrites were divided into 2 groups with outer stratification (0-40%) and 2 groups with inner (50-100%) stratification, whereas cells with thick dendrites were divided into one group with outer and 3 groups with inner stratification. We postulate, that one group of cells with thin dendrites resembles cat ß-cells, whereas one group of cells with thick dendrites includes cells that resemble cat a-cells.
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The range of 25-hydroxyvitamin D (25OHD) concentration was determined in a young healthy population based on bone metabolism parameters and environmental and behavioral aspects. We studied 121 healthy young volunteers (49 men, 72 women) living in São Paulo (23º 34' south latitude) belonging to three occupational categories: indoor workers (N = 28), medical school students (N = 44), and resident physicians (N = 49). Fasting morning blood samples were collected once from each volunteer from August 2002 to February 2004, and 25OHD, total calcium, albumin, alkaline phosphatase, phosphorus, creatinine, intact parathyroid hormone, osteocalcin, and type I collagen carboxyterminal telopeptide were measured. Data are reported as means ± SD. Mean subject age was 24.7 ± 2.68 years and mean 25OHD level for the entire group was 78.7 ± 33.1 nM. 25OHD levels were lower (P < 0.05) among resident physicians (67.1 ± 27.0 nM) than among students (81.5 ± 35.8 nM) and workers (94.0 ± 32.6 nM), with the last two categories displaying no difference. Parathyroid hormone was higher (P < 0.05) and osteocalcin was lower (P < 0.05) among resident physicians compared to non-physicians. Solar exposure and frequency of beach outings showed a positive association with 25OHD (P < 0.001), and summer samples presented higher results than winter ones (97.8 ± 33.5 and 62.9 ± 23.5 nM, respectively). To define normal levels, parameters such as occupational activity, seasonality and habits related to solar exposure should be taken into account. Based on these data, we considered concentrations above 74.5 nM to be desired optimal 25OHD levels, which were obtained during the summer for 75% of the non-physicians.
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The purpose of this study is to examine the psychographic (product attributes, motivation opinions, interest, lifestyle, values) characteristics of wine tourists along the Niagara wine r,~ute, located in Ontario, Canada, using a multiple case study method. Four wineries were selected, two wineries each on the East, and West sides of the wine route during the shoulder-season (January, February, 2004). Using a computer generated survey technique, tourists were approached to fill out a questionnaire on one of the available laptop computers, where a sample ofN=321 was obtained. The study findings revealed that there are three distinct wine tourist segments in the Niagara region. The segments were determined using an exploratory factor analysis (EFA) and a K-means cluster analysis: Wine Lovers, Wine Interested, and Wine Curious wine tourists. These three segments displayed significant differences in their, motivation for visiting a winery, lifestyles, values, and wine purchasing behaviour. This study also examined differences between winery locations, on the East and West sides of the Niagara wine route, with respect to the aforementioned variables. The results indicated that there were significant differences between the regions with respect to these variables. The findings suggest that these differences present opportunities for more effective marketing strategies based on the uniqueness of each region. The results of this study provide insight for academia into a method of psychographic market segmentation of wine tourists and consumer behaviour. This study also contributes to the literature on wine tourism, and the identification of psychographic characteristics of wine tourists, an area where little research has taken place.
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The global wine industry is experiencing the impacts of climate change. Canada’s major wine sector, the Ontario Wine Industry (OWI) is no exception to this trend. Warmer winter and summer temperatures are affecting wine production. The industry needs to adapt to these challenges, but their capacity for this is unclear. To date, only a limited number of studies exist regarding the adaptive capacity of the wine industry to climate change. Accordingly, this study developed an adaptive capacity assessment framework for the wine industry. The OWI became the case study for the implementation of the assessment framework. Data was obtained by means of a questionnaire sent to grape growers, winemakers and supporting institutions in Ontario. The results indicated the OWI has adaptive capacity capabilities in financial, institutional, political, technological, perceptions, knowledge, diversity and social capital resources areas. Based on the OWI case study, this framework provides an effective means of assessing regional wine industries’ capacity to adapt to climate change.
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This thesis describes the chemoenzymatic synthesis of three morphine alkaloids. The total synthesis of dihydrocodeine and hydrocodone was accomplished starting from bromobenzene in 16 and 17 steps, respectively. The key steps included a microbial oxidation of bromobenzene by E. coli JM109 (pDTG601A), a Kazmaier-Claisen rearrangement of glycinate ester to generate C-9 and C-14 stereo centers, a Johnson-Claisen rearrangement to set the C-13 quaternary center, and a C-10/C-11 ring closure via a Friedel-Crafts reaction. In addition, the total synthesis of ent-hydromorphone starting from β-bromoethylbenzene in 12 steps is also described. The key reactions included the enzymatic dihydroxylation of β-bromoethylbenzene to the corresponding cis-cyclohexadienediol, a Mitsunobu reaction, and an oxidative dearomatization followed by an intramolecular [4+2] cycloaddition.
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La question de recherche à la base de cette étude soulève le point de la nature paradoxale du canon de représentation égyptien qui démontre, simultanément, une certaine rigidité dans l’application de règles stylistiques et iconographiques établies, particulièrement dans l’art non commandité par l’État, et des preuves de transformation et d’intégration de motifs nouveaux. Partant de cette problématique, l’étude vise à identifier les mécanismes par lesquels ce canon permet, à la fois, l’innovation et le maintien d’une certaine tradition. L’approche est de nature double et consiste tout d’abord à identifier de grandes tendances et discontinuités stylistiques et iconographiques sur les bols de faïence du Moyen au Nouvel Empire. De plus, elle tente de déterminer si les transformations d’ordre sociopolitique et idéologique, survenant à ces périodes, peuvent être lues dans les variations stylistiques et iconographiques trouvées sur les bols de faïence. Après une description du champ conceptuel de la « représentation » en contexte égyptien, l’auteur effectue l’analyse iconographique exhaustive de ce qui constitue l’apport majeur de son étude, un corpus de 500 bols et fragments de faïence provenant de divers sites égyptiens du Moyen au Nouvel Empire. Les données ont été traitées par le biais de la méthode d’analyse iconologique proposée par Panofsky, qui lui permet de dévoiler un grand nombre de continuités et de transformations d’ordre stylistique et iconographique pour les différentes périodes. Plusieurs facteurs semblent avoir été à l’origine de ces transformations, dont la fluctuation entre un contexte de centralisation et de décentralisation politique de l’État, ainsi que l’intégration de motifs étrangers (proche-orientaux et égéens) résultant d’un contact accru entre l’Égypte et les régions voisines. De plus, les transformations idéologiques apportées par le règne d’Akhénaton et par la « contre-réforme » idéologique à la période ramesside, semblent avoir également contribué à des innovations au sein du canon, même si ce dernier maintient une certaine continuité légitimée par le pouvoir étatique. Le canon de représentation, devient ainsi une forme de langage dont l’État se sert et qui, parfois malgré lui, se transforme et fluctue selon les réalités des différentes périodes.
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Objectifs: Le but de cette étude clinique était de comparer un groupe d’adultes ayant un parodonte sain avec un groupe d’adultes atteints de parodontite chronique en terme de risque carieux et mesures cliniques et microbiologiques de la carie. Méthodes: Quatre-vingt-seize individus ont été divisés en deux groupes en fonction de leur état de santé parodontal et ont été appariés pour l'âge, le sexe et l'origine ethnique. Trente-huit sujets étaient atteints de parodontite chronique définie comme ayant au moins quatre dents avec ≥ 1 site avec une profondeur de sondage ≥ 4 mm et une perte d'attache clinique ≥ 2 mm, et 58 sujets présentaient un parodonte sain. Par la suite, les groupes ont été subdivisés en deux groupes en fonction de leur statut carieux : les participants ayant au moins une lésion carieuse non traitée sur une surface dentaire et ceux n’ayant pas de lésion carieuse non traitée. Les données ont été recueillies par le biais d’un questionnaire, un examen clinique et des échantillons de plaque supra- et sous-gingivale. L’évaluation de la charge buccale de Streptococcus mutans et de six agents pathogènes parodontaux a été réalisée par la technique d'amplification de la réaction en chaine de la polymérase (PCR). Les données ont été analysées à l'aide d’analyses statistiques descriptives et bivariées. Résultats: Les individus atteints de parodontite chronique étaient 3,5 fois plus susceptibles d'avoir des caries que les individus en bonne santé (OR 3,5 ; IC: 1,5 - 8,3 ; P = 0,006). Les sujets à la fois atteints de parodontite chronique et de caries dentaires ont eu un niveau d’éducation significativement plus faible que les sujets ayant un parodonte sain et sans caries dentaires (OR 6,0 ; IC: 1,7 à 21,7 ; P = 0,04). La proportion de sujets ayant une charge buccale élevée de Porphyromonas gingivalis (P. g.) et Treponema denticola (T. d.) était significativement plus élevée chez les patients atteints de parodontite chronique et de carie que chez les patients sains présentant des caries (P. g.: OR 8,6 ; IC: 2,4 - 30,3 ; P = 0,004 et T. d.: OR 10,0 ; CI: 2,6 - 38.1 ; P = 0,003). Conclusions: Les résultats de cette étude suggèrent que, chez les sujets adultes atteints de la parodontite chronique, la fréquence des caries est plus élevée que chez les sujets ayant un parodonte sain. De plus, le faible niveau d'éducation influence négativement le statut parodontal des individus.
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Diese Arbeit befasst sich mit der Modellbildung mechatronischer Systeme mit Reibung. Geeignete dynamische Modelle sind die Grundlage für verschiedenste Aufgabenstellungen. Sind dynamische Prozessmodelle verfügbar, so können leistungsfähige modellbasierte Entwurfsmethoden angewendet werden sowie modellbasierte Anwendungen entwickelt werden. Allerdings ist der Aufwand für die Modellbildung ein beschränkender Faktor für eine weite Verbreitung modellbasierter Applikationen in der Praxis. Eine Automatisierung des Modellbildungsprozesses ist deshalb von großem Interesse. Die vorliegende Arbeit stellt für die Klasse „mechatronischer Systeme mit Reibung“ drei Modellierungsmethoden vor: semi-physikalische Modellierung, Sliding-Mode-Beobachter-basierte Modellierung und empirische Modellierung mit einem stückweise affinen (PWA) Modellansatz. Zum Ersten wird die semi-physikalische Modellierung behandelt. Gegenüber anderen Verfahren, die häufig umfangreiche Vorkenntnisse und aufwändige Experimente erfordern, haben diese neuen Verfahren den Vorteil, dass die Modellierung von Systemen mit Reibung selbst bei begrenzten Vorkenntnissen und minimalem Experimentaufwand automatisiert werden kann. Zum Zweiten wird ein neuer Ansatz zur Reibkraftrekonstruktion und Reibmodellierung mittels Sliding-Mode-Beobachter präsentiert. Durch Verwendung des vorgestellten Sliding-Mode- Beobachters, der basierend auf einem einfachen linearen Zustandsraummodell entworfen wird, lässt sich die Reibung datengetrieben aus den Ein-/Ausgangsmessdaten (im offenen Regelkreis) rekonstruieren und modellieren. Im Vergleich zu anderen Reibmodellierungsmethoden, die häufig umfangreiche Vorkenntnisse und aufwändige Messungen im geschlossenen Regelkreis erfordern, haben diese neuen Verfahren den Vorteil, dass die Modellierung von Systemen mit Reibung selbst bei begrenzten Vorkenntnissen und minimalem Experimentaufwand weitgehend automatisiert werden kann. Zum Dritten wird ein PWA-Modellierungsansatz mit einer clusterungsbasierten Identifikationsmethode für Systeme mit Reibung vorgestellt. In dieser Methode werden die Merkmale in Hinblick auf Reibeffekte ausgewählt. Und zwar wird der klassische c-Means-Algorithmus verwendet, welcher bedienfreundlich, effizient und geeignet für große und reale Datensätze ist. Im Gegensatz zu anderen Methoden sind bei dieser Methode nur wenige Entwurfsparameter einzustellen und sie ist für reale Systeme mit Reibung einfach anwendbar. Eine weitere Neuheit der vorgestellten PWA-Methode liegt darin, dass die Kombination der Clustervaliditätsmaße und Modellprädiktionsfehler zur Festlegung der Anzahl der Teilmodelle benutzt wird. Weiterhin optimiert die vorgestellte Methode die Parameter der lokalen Teilmodelle mit der OE (Output-Fehler)-Schätzmethode. Als Anwendungsbeispiele werden Drosselklappen, Drallklappen und AGR-Ventile (Abgasrückführventil) im Dieselfahrzeug betrachtet und die erzeugten Modelle werden in der industriellen HiL-Simulation eingesetzt. Aufgrund der Effizienz und Effektivität der Modellierungsmethoden sind die vorgestellten Methoden direkt in der automobilen Praxis einsetzbar.
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We present a component-based approach for recognizing objects under large pose changes. From a set of training images of a given object we extract a large number of components which are clustered based on the similarity of their image features and their locations within the object image. The cluster centers build an initial set of component templates from which we select a subset for the final recognizer. In experiments we evaluate different sizes and types of components and three standard techniques for component selection. The component classifiers are finally compared to global classifiers on a database of four objects.
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Background: This study describes a bioinformatics approach designed to identify Plasmodium vivax proteins potentially involved in reticulocyte invasion. Specifically, different protein training sets were built and tuned based on different biological parameters, such as experimental evidence of secretion and/or involvement in invasion-related processes. A profile-based sequence method supported by hidden Markov models (HMMs) was then used to build classifiers to search for biologically-related proteins. The transcriptional profile of the P. vivax intra-erythrocyte developmental cycle was then screened using these classifiers. Results: A bioinformatics methodology for identifying potentially secreted P. vivax proteins was designed using sequence redundancy reduction and probabilistic profiles. This methodology led to identifying a set of 45 proteins that are potentially secreted during the P. vivax intra-erythrocyte development cycle and could be involved in cell invasion. Thirteen of the 45 proteins have already been described as vaccine candidates; there is experimental evidence of protein expression for 7 of the 32 remaining ones, while no previous studies of expression, function or immunology have been carried out for the additional 25. Conclusions: The results support the idea that probabilistic techniques like profile HMMs improve similarity searches. Also, different adjustments such as sequence redundancy reduction using Pisces or Cd-Hit allowed data clustering based on rational reproducible measurements. This kind of approach for selecting proteins with specific functions is highly important for supporting large-scale analyses that could aid in the identification of genes encoding potential new target antigens for vaccine development and drug design. The present study has led to targeting 32 proteins for further testing regarding their ability to induce protective immune responses against P. vivax malaria.
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El presente estudio de corte cualitativo pretende, desde la perspectiva de los proveedores de servicios, conocer las necesidades de apoyos de las personas con discapacidad intelectual que viven en residencias en Chile. La recogida de datos se llevó a cabo mediante la puesta en marcha de tres grupos focales. Los resultados revelaron la existencia de diferencias significativas en la percepción de necesidades de apoyos. Así, mientras los cuidadores acentúan la importancia de los apoyos en aspectos más cotidianos de la vida, los otros profesionales y directores de centro expresan mayores necesidades de apoyo respecto a la vida en la comunidad. El estudio acentúa también la importancia de trabajar en los modelos mentales de prestación de servicios para desarrollar líneas estratégicas centradas en las necesidades de apoyo de los usuarios.
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El presente trabajo se centra en estudiar la relación que existe entre el desarrollo de léxico y el de la morfosintaxis. Concretamente pretendemos explorar el tipo de vocabulario que mejor predice el desarrollo de la morfología verbal y el de la complejidad gramatical, así como establecer el tipo de relación entre desarrollo léxico y desarrollo morfosintáctico. La muestra comprende 517 niños de edades comprendidas entre los 18 meses y los 30 meses. Los datos se han recogido a partir de la adaptación al catalán del instrumento MacArthur-Bates Communicative Development Inventories (CDI). Los resultados muestran que el mejor predictor del desarrollo morfológico y gramatical es el vocabulario de clase cerrada, conjuntamente con el vocabulario general. Por otra parte, se observa una relación predominantemente lineal entre el desarrollo del léxico y el desarrollo morfosintáctico
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In this paper, we introduce a novel high-level visual content descriptor which is devised for performing semantic-based image classification and retrieval. The work can be treated as an attempt to bridge the so called “semantic gap”. The proposed image feature vector model is fundamentally underpinned by the image labelling framework, called Collaterally Confirmed Labelling (CCL), which incorporates the collateral knowledge extracted from the collateral texts of the images with the state-of-the-art low-level image processing and visual feature extraction techniques for automatically assigning linguistic keywords to image regions. Two different high-level image feature vector models are developed based on the CCL labelling of results for the purposes of image data clustering and retrieval respectively. A subset of the Corel image collection has been used for evaluating our proposed method. The experimental results to-date already indicates that our proposed semantic-based visual content descriptors outperform both traditional visual and textual image feature models.