920 resultados para multivariate data analysis
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The objective of this work is to demonstrate the efficient utilization of the Principal Components Analysis (PCA) as a method to pre-process the original multivariate data, that is rewrite in a new matrix with principal components sorted by it's accumulated variance. The Artificial Neural Network (ANN) with backpropagation algorithm is trained, using this pre-processed data set derived from the PCA method, representing 90.02% of accumulated variance of the original data, as input. The training goal is modeling Dissolved Oxygen using information of other physical and chemical parameters. The water samples used in the experiments are gathered from the Paraíba do Sul River in São Paulo State, Brazil. The smallest Mean Square Errors (MSE) is used to compare the results of the different architectures and choose the best. The utilization of this method allowed the reduction of more than 20% of the input data, which contributed directly for the shorting time and computational effort in the ANN training.
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Foot health is a part of overall health in every age group and its importance increases during ageing. Health care professionals are in a vital position for preventing foot health problems, and identifying and caring them in older people. Despite the rather high number of studies conducted in the field of foot health in older people, reliable and valid nurse-administered foot health assessment instruments seem to be lacking. By identifying foot health in older people, it is possible to develop nursing interventions to enhance safe, independent living at home. The purpose of this three-phase study was to develop an instrument to assess the level of foot health in older people and evaluate foot care practices from the perspective of older people themselves and nurses in home care. The ultimate goal is to prevent foot health problems by increasing the attention paid to older people’s feet and recognizing those foot health problems which need further care; thus not focus on different foot health problems. The study was conducted in different phases and contexts. In phase 1, a descriptive design with a literature review from the Medline (R) and CINAHL databases to explore foot health in older people and nurses’ role in foot health care and pre-post design intervention study in nursing home with nursing staff (n=16) and older residents (n=43) were conducted. In phase 2, a descriptive and explorative study design was employed to develop an instrument for assessing foot health in older people (N=651, n=309, response rate 47%) and explore the psychometrics of the instrument. The data were collected from sheltered housing and home care settings. Finally, in phase 3, descriptive and explorative as well as cross-sectional correlational survey designs were used to assess foot health and evaluate the foot self-care activities of older people (N=651, n=309, response rate 47%) and to describe foot care knowledge and caring activities of nurses (N=651, n=322, response rate 50%) in home care in Finland. To achieve this, the Foot Health Assessment Instrument (FHAI) developed in phase 2 was used; at the same time, this large sample also was used for the psychometric evaluation of the FHAI. The data analysis methods used in this study were content analysis, descriptive and inferential statistics including factor and multivariate analysis. Many long-term diseases can manifest in feet. Therefore, the FHAI, developed in this study consisted of items relating to skin and nail health, foot structure and foot pain. The FHAI demonstrated acceptable preliminary psychometric properties. A great deal of different foot health problems in older people were found of which edema, dry skin, thickened and discoloured toenails and hallux valgus were the most prevalent foot health problems. Moreover, many older people had difficulties in performing foot self-care. Nurses’ knowledge of foot care was insufficient and revealed a need for more information and continuing education in matters relating to foot care in older people. Instead, nurses’ foot care activities were mainly adequate, though the findings indicate the need for updating foot care activities to correspond with the evidence found in the field of foot care. Practical implications are presented for nursing practice, education and administration. In future, research should focus on developing interventions for older people and nurses to promote foot health in older people and to prevent foot health problems, as well as for further development of the FHAI.
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The ongoing global financial crisis has demonstrated the importance of a systemwide, or macroprudential, approach to safeguarding financial stability. An essential part of macroprudential oversight concerns the tasks of early identification and assessment of risks and vulnerabilities that eventually may lead to a systemic financial crisis. Thriving tools are crucial as they allow early policy actions to decrease or prevent further build-up of risks or to otherwise enhance the shock absorption capacity of the financial system. In the literature, three types of systemic risk can be identified: i ) build-up of widespread imbalances, ii ) exogenous aggregate shocks, and iii ) contagion. Accordingly, the systemic risks are matched by three categories of analytical methods for decision support: i ) early-warning, ii ) macro stress-testing, and iii ) contagion models. Stimulated by the prolonged global financial crisis, today's toolbox of analytical methods includes a wide range of innovative solutions to the two tasks of risk identification and risk assessment. Yet, the literature lacks a focus on the task of risk communication. This thesis discusses macroprudential oversight from the viewpoint of all three tasks: Within analytical tools for risk identification and risk assessment, the focus concerns a tight integration of means for risk communication. Data and dimension reduction methods, and their combinations, hold promise for representing multivariate data structures in easily understandable formats. The overall task of this thesis is to represent high-dimensional data concerning financial entities on lowdimensional displays. The low-dimensional representations have two subtasks: i ) to function as a display for individual data concerning entities and their time series, and ii ) to use the display as a basis to which additional information can be linked. The final nuance of the task is, however, set by the needs of the domain, data and methods. The following ve questions comprise subsequent steps addressed in the process of this thesis: 1. What are the needs for macroprudential oversight? 2. What form do macroprudential data take? 3. Which data and dimension reduction methods hold most promise for the task? 4. How should the methods be extended and enhanced for the task? 5. How should the methods and their extensions be applied to the task? Based upon the Self-Organizing Map (SOM), this thesis not only creates the Self-Organizing Financial Stability Map (SOFSM), but also lays out a general framework for mapping the state of financial stability. This thesis also introduces three extensions to the standard SOM for enhancing the visualization and extraction of information: i ) fuzzifications, ii ) transition probabilities, and iii ) network analysis. Thus, the SOFSM functions as a display for risk identification, on top of which risk assessments can be illustrated. In addition, this thesis puts forward the Self-Organizing Time Map (SOTM) to provide means for visual dynamic clustering, which in the context of macroprudential oversight concerns the identification of cross-sectional changes in risks and vulnerabilities over time. Rather than automated analysis, the aim of visual means for identifying and assessing risks is to support disciplined and structured judgmental analysis based upon policymakers' experience and domain intelligence, as well as external risk communication.
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The aim of this thesis was to examine congruencies between university identity and university images of prospective and current students. Therefore, factors essentially influencing on expected and experienced university images were identified. Providing an understanding on the differences in the formation of both concepts allowed the analysis of potential incongruities between a university’s identity and the perceptions its students hold. The study was conducted in July and August 2013 at Lappeenranta University of Technology by means of a web-based research survey. The sample consisted of 160 international Master’s degree students who were admitted in 2011, 2012 and 2013. Descriptive and multivariate statistical analysis methods were used to process the data. The results of the study indicated statistically significant incongruities between the case university’s identity and its students’ images. Further, the expected and experienced university images showed incongruities to each other. Deviations were additionally detected to be dependent on the students’ home regions. All in all, there is potential for an improvement of the students’ experiences resulting from a low perception of the student’s preparation for future job life.
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Tietokoneohjelman arvostelu.
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Hoitotyön koulutukseen pyritään valitsemaan alalle soveltuvia, motivoituneita sekä teoreettisissa ja kliinisissä opinnoissa menestyviä opiskelijoita. Tämän seurantatutkimuksen tarkoituksena oli vertailla soveltuvuuskokeella ja kirjallisella kokeella valittujen hoitotyön opiskelijoiden osaamista ja opiskelumotivaatiota. Tutkimuksen tavoitteena oli tehdä tutkimustulosten perusteella hoitotyön koulutuksen opiskelijavalintoihin liittyviä kehittämisehdotuksia. Tutkimuksen kohderyhmänä olivat yhteen ammattikorkeakouluun syksyn 2002 ja syksyn 2004 välisenä aikana hoitotyön koulutukseen kahdella eri valintakoemenetelmällä valitut hoitotyön opiskelijat (N=626) (sairaanhoitotyö, terveydenhoitotyö, kätilötyö). Opiskelijaryhmistä muodostettiin kaksi kohorttia valintakoemenetelmän perusteella: soveltuvuuskoe (VAL1, N=368) ja kirjallinen koe (VAL2, N=258). Seurantatutkimuksen aineisto kerättiin opiskelijoiden opintorekisteristä sekä kahdella strukturoidulla mittarilla, joilla kartoitettiin hoitotyön opiskelijoiden itsearvioitua hoitotyön osaamista (OSAA-mittari) ja opiskelumotivaatiota (MOTI-mittari). Seurantatutkimuksen aineistonkeruu ajoittui opiskelijoiden kolmannelle lukukaudella (1. mittaus, 2004‒2006, VAL1 n=234, VAL2 n=126) ja valmistumisvaiheeseen (2. mittaus, 2006‒2009, VAL1 n=149, VAL2 n=108). Ensimmäisen mittauksen vastausprosentti oli 75,0 % ja toisen mittauksen 92,4 %. Aineistojen analysoinnissa käytettiin pitkittäistutkimukseen soveltuvia monimuuttujamenetelmiä. Kahdella valintakoemenetelmällä valikoitui pienistä eroista huolimatta osaamiseltaan ja opiskelumotivaatioltaan hyvin samanlaisia opiskelijoita. Soveltuvuuskokeella valitut opiskelijat kokivat ryhmän kannustavuuden vahvemmaksi valmistumisvaiheessa kuin kirjallisella kokeella valitut. Kirjallisella kokeella valittujen opiskelijoiden kolmannen lukukauden arvosanoihin perustuva osaaminen oli parempaa kuin soveltuvuuskokeella valittujen opiskelijoiden. Suuntautumisvaihtoehto, hoitoalan työkokemus, peruskoulutus ja hakusija olivat merkittävimmin yhteydessä opiskelijoiden osaamiseen ja opiskelumotivaatioon. Valintakoemenetelmä selitti eniten opiskelijoiden osaamisessa ja opiskelumotivaatiossa ilmenneitä eroja, joskin selitysosuudet jäivät alhaisiksi. Kehittämisehdotukset kohdistuvat valintakoemenetelmien kehittämiseen ja säännölliseen arviointiin sekä alalle motivoituneisuuden määrittelyyn ja mittaamisen kehittämiseen. Jatkotutkimusaiheina ehdotetaan eri valintakoemenetelmien testaamista ja tutkimuksessa käytettyjen mittareiden edelleen kehittämistä.
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Workshop at Open Repositories 2014, Helsinki, Finland, June 9-13, 2014
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Results of subgroup analysis (SA) reported in randomized clinical trials (RCT) cannot be adequately interpreted without information about the methods used in the study design and the data analysis. Our aim was to show how often inaccurate or incomplete reports occur. First, we selected eight methodological aspects of SA on the basis of their importance to a reader in determining the confidence that should be placed in the author's conclusions regarding such analysis. Then, we reviewed the current practice of reporting these methodological aspects of SA in clinical trials in four leading journals, i.e., the New England Journal of Medicine, the Journal of the American Medical Association, the Lancet, and the American Journal of Public Health. Eight consecutive reports from each journal published after July 1, 1998 were included. Of the 32 trials surveyed, 17 (53%) had at least one SA. Overall, the proportion of RCT reporting a particular methodological aspect ranged from 23 to 94%. Information on whether the SA preceded/followed the analysis was reported in only 7 (41%) of the studies. Of the total possible number of items to be reported, NEJM, JAMA, Lancet and AJPH clearly mentioned 59, 67, 58 and 72%, respectively. We conclude that current reporting of SA in RCT is incomplete and inaccurate. The results of such SA may have harmful effects on treatment recommendations if accepted without judicious scrutiny. We recommend that editors improve the reporting of SA in RCT by giving authors a list of the important items to be reported.
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This master’s thesis studies the probability of bankruptcy of Finnish limited liability companies as a part of credit risk assessment. The main idea of this thesis is to build and test bankruptcy prediction models for Finnish limited liability companies that can be utilized in credit decision making. The data used in this thesis consists of historical financial statements from 2112 Finnish limited liability companies, half of which have filed for bankruptcy. A total of four models are developed, two with logistic regression and two with multivariate discriminant analysis (MDA). The time horizon of the models varies from 1 to 2 years prior to the bankruptcy, and 14 different financial variables are used in the model formation. The results show that the prediction accuracy of the models ranges between 81.7% and 88.9%, and the best prediction accuracy is achieved with the one year prior the bankruptcy logistic regression model. However the difference between the best logistic model and the best MDA model is minimal. Overall based on the results of this thesis it can be concluded that predicting bankruptcy is possible to some extent, but naturally the results are not perfect.
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The aim of the present study was to compare heart rate variability (HRV) at rest and during exercise using a temporal series obtained with the Polar S810i monitor and a signal from a LYNX® signal conditioner (BIO EMG 1000 model) with a channel configured for the acquisition of ECG signals. Fifteen healthy subjects aged 20.9 ± 1.4 years were analyzed. The subjects remained at rest for 20 min and performed exercise for another 20 min with the workload selected to achieve 60% of submaximal heart rate. RR series were obtained for each individual with a Polar S810i instrument and with an ECG analyzed with a biological signal conditioner. The HRV indices (rMSSD, pNN50, LFnu, HFnu, and LF/HF) were calculated after signal processing and analysis. The unpaired Student t-test and intraclass correlation coefficient were used for data analysis. No statistically significant differences were observed when comparing the values analyzed by means of the two devices for HRV at rest and during exercise. The intraclass correlation coefficient demonstrated satisfactory correlation between the values obtained by the devices at rest (pNN50 = 0.994; rMSSD = 0.995; LFnu = 0.978; HFnu = 0.978; LF/HF = 0.982) and during exercise (pNN50 = 0.869; rMSSD = 0.929; LFnu = 0.973; HFnu = 0.973; LF/HF = 0.942). The calculation of HRV values by means of temporal series obtained from the Polar S810i instrument appears to be as reliable as those obtained by processing the ECG signal captured with a signal conditioner.
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Our objective was to examine associations of adult weight gain and nonalcoholic fatty liver disease (NAFLD). Cross-sectional interview data from 844 residents in Wan Song Community from October 2009 to April 2010 were analyzed in multivariate logistic regression models to examine odds ratios (OR) and 95% confidence intervals (CI) between NAFLD and weight change from age 20. Questionnaires, physical examinations, laboratory examinations, and ultrasonographic examination of the liver were carried out. Maximum rate of weight gain, body mass index, waist circumference, waist-to-hip ratio, systolic blood pressure, diastolic blood pressure, fasting blood glucose, cholesterol, triglycerides, uric acid, and alanine transaminase were higher in the NAFLD group than in the control group. HDL-C in the NAFLD group was lower than in the control group. As weight gain increased (measured as the difference between current weight and weight at age 20 years), the OR of NAFLD increased in multivariate models. NAFLD OR rose with increasing weight gain as follows: OR (95%CI) for NAFLD associated with weight gain of 20+ kg compared to stable weight (change <5 kg) was 4.23 (2.49-7.09). Significantly increased NAFLD OR were observed even for weight gains of 5-9.9 kg. For the “age 20 to highest lifetime weight” metric, the OR of NAFLD also increased as weight gain increased. For the “age 20 to highest lifetime weight” metric and the “age 20 to current weight” metric, insulin resistance index (HOMA-IR) increased as weight gain increased (P<0.001). In a stepwise multivariate regression analysis, significant association was observed between adult weight gain and NAFLD (OR=1.027, 95%CI=1.002-1.055, P=0.025). We conclude that adult weight gain is strongly associated with NAFLD.
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Studying testis is complex, because the tissue has a very heterogeneous cell composition and its structure changes dynamically during development. In reproductive field, the cell composition is traditionally studied by morphometric methods such as immunohistochemistry and immunofluorescence. These techniques provide accurate quantitative information about cell composition, cell-cell association and localization of the cells of interest. However, the sample preparation, processing, staining and data analysis are laborious and may take several working days. Flow cytometry protocols coupled with DNA stains have played an important role in providing quantitative information of testicular cells populations ex vivo and in vitro studies. Nevertheless, the addition of specific cells markers such as intracellular antibodies would allow the more specific identification of cells of crucial interest during spermatogenesis. For this study, adult rat Sprague-Dawley rats were used for optimization of the flow cytometry protocol. Specific steps within the protocol were optimized to obtain a singlecell suspension representative of the cell composition of the starting material. Fixation and permeabilization procedure were optimized to be compatible with DNA stains and fluorescent intracellular antibodies. Optimization was achieved by quantitative analysis of specific parameters such as recovery of meiotic cells, amount of debris and comparison of the proportions of the various cell populations with already published data. As a result, a new and fast flow cytometry method coupled with DNA stain and intracellular antigen detection was developed. This new technique is suitable for analysis of population behavior and specific cells during postnatal testis development and spermatogenesis in rodents. This rapid protocol recapitulated the known vimentin and γH2AX protein expression patterns during rodent testis ontogenesis. Moreover, the assay was applicable for phenotype characterization of SCRbKO and E2F1KO mouse models.
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In this thesis the process of building a software for transport accessibility analysis is described. The goal was to create a software which is easy to distribute and simple to use for the user without particular background in the field of the geographical data analysis. It was shown that existing tools do not suit for this particular task due to complex interface or significant rendering time. The goal was accomplished by applying modern approaches in the process of building web applications such as maps based on vector tiles, FLUX architecture design pattern and module bundling. It was discovered that vector tiles have considerable advantages over image-based tiles such as faster rendering and real-time styling.
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The main objective of this research was to examine the relationship between surface electromyographic (SEMG) spike activity and force. The secondary objective was to determine to what extent subcutaneous tissue impacts the high frequency component of the signal, as well as, examining the relationship between measures of SEMG spike shape and their traditional time and frequency analogues. A total of96 participants (46 males and 50 females) ranging in age (18-35 years), generated three 5-second isometric step contractions at each force level of 40, 60, 80, and 100 percent of maximal voluntary contraction (MVC). The presentation of the contractions was balanced across subjects. The right arm of the subject was positioned in the sagittal plane, with the shoulder and elbow flexed to 90 degrees. The elbow rested on a support in a neutral position (mid pronation/mid supination) and placed within a wrist cuff, fastened below the styloid process. The wrist cuff was attached to a load cell (JR3 Inc., Woodland, CA) recording the force produced. Biceps brachii activity was monitored with a pair of Ag/AgCI recording electrodes (Grass F-E9, Astro-Med Inc., West Warwick, RI) placed in a bipolar configuration, with an interelectrode distance (lED) of 2cm distal to the motor point. Data analysis was performed on a I second window of data in the middle of the 5-second contraction. The results indicated that all spike shape measures exhibited significant (p < 0.01) differences as force increase~ from 40 to 100% MVC. The spike shape measures suggest that increased motor unit (MU) recruitment was responsible for increasing force up to 80% MVC. The results suggested that further increases in force relied on MU III synchronization. The results also revealed that the subcutaneous tissue (skin fold thickness) had no relationship (r = 0.02; P > 0.05) with the mean number of peaks per spike (MNPPS), which was the high frequency component of the signal. Mean spike amplitude (MSA) and mean spike frequency (MSF) were highly correlated with their traditional measures root mean square (RMS) and mean power frequency (MPF), respectively (r = 0.99; r = 0.97; P < 0.01).
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The purpose ofthis study was to explore various types ofreflection and to explore reflection on action, reflection as a practice, and reflection as a process. In doing this, the intent was to discover the perceived benefits of reflection in the classroom and to provide guidelines for future use at the undergraduate and graduate level. The qualitative components in this study included the data collection strategy of semistructured interviews with 2 undergraduate students, 2 graduate students, 1 undergraduate studies professor, and 1 graduate studies professor. The data analysis strategies included a within-case analysis and a cross-case analysis. Through the interviews participants discussed their experiences with the use ofreflection in the classroom. Through the completion ofthis analysis the researcher expected to discover the benefits ofreflection at this level of education, as well as provide suggestions for future use. Both undergraduate and graduate students and professors were found to benefit from the use of reflection in the classroom. The use ofreflection in the undergraduate and graduate classroom was found to improve student/teacher and student/peer relationships, foster critical thinking, allow for connections between learned theory and life experience, and improve students' writing abilities. Based on the results ofthe study the implications ofreflection for the undergraduate and graduate classroom and for further research are provided.