915 resultados para Hierarchical zeolites
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The main aim of this study was to replicate and extend previous results on subtypes of adolescents with substance use disorders (SUD), according to their Minnesota Multiphasic Personality Inventory for adolescents (MMPI-A) profiles. Sixty patients with SUD and psychiatric comorbidity (41.7% male, mean age = 15.9 years old) completed the MMPI-A, the Teen Addiction Severity Index (T-ASI), the Child Behaviour Checklist (CBCL), and were interviewed in order to determine DSMIV diagnoses and level of substance use. Mean MMPI-A personality profile showed moderate peaks in Psychopathic Deviate, Depression and Hysteria scales. Hierarchical cluster analysis revealed four profiles (acting-out, 35% of the sample; disorganized-conflictive, 15%; normative-impulsive, 15%; and deceptive-concealed, 35%). External correlates were found between cluster 1, CBCL externalizing symptoms at a clinical level and conduct disorders, and between cluster 2 and mixed CBCL internalized/externalized symptoms at a clinical level. Discriminant analysis showed that Depression, Psychopathic Deviate and Psychasthenia MMPI-A scales correctly classified 90% of the patients into the clusters obtained.
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In traffic accidents involving motorcycles, paint traces can be transferred from the rider's helmet or smeared onto its surface. These traces are usually in the form of chips or smears and are frequently collected for comparison purposes. This research investigates the physical and chemical characteristics of the coatings found on motorcycles helmets. An evaluation of the similarities between helmet and automotive coating systems was also performed.Twenty-seven helmet coatings from 15 different brands and 22 models were considered. One sample per helmet was collected and observed using optical microscopy. FTIR spectroscopy was then used and seven replicate measurements per layer were carried out to study the variability of each coating system (intravariability). Principal Component Analysis (PCA) and Hierarchical Cluster Analysis (HCA) were also performed on the infrared spectra of the clearcoats and basecoats of the data set. The most common systems were composed of two or three layers, consistently involving a clearcoat and basecoat. The coating systems of helmets with composite shells systematically contained a minimum of three layers. FTIR spectroscopy results showed that acrylic urethane and alkyd urethane were the most frequent binders used for clearcoats and basecoats. A high proportion of the coatings were differentiated (more than 95%) based on microscopic examinations. The chemical and physical characteristics of the coatings allowed the differentiation of all but one pair of helmets of the same brand, model and color. Chemometrics (PCA and HCA) corroborated classification based on visual comparisons of the spectra and allowed the study of the whole data set at once (i.e., all spectra of the same layer). Thus, the intravariability of each helmet and its proximity to the others (intervariability) could be more readily assessed. It was also possible to determine the most discriminative chemical variables based on the study of the PCA loadings. Chemometrics could therefore be used as a complementary decision-making tool when many spectra and replicates have to be taken into account. Similarities between automotive and helmet coating systems were highlighted, in particular with regard to automotive coating systems on plastic substrates (microscopy and FTIR). However, the primer layer of helmet coatings was shown to differ from the automotive primer. If the paint trace contains this layer, the risk of misclassification (i.e., helmet versus vehicle) is reduced. Nevertheless, a paint examiner should pay close attention to these similarities when analyzing paint traces, especially regarding smears or paint chips presenting an incomplete layer system.
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Advances in flow cytometry and other single-cell technologies have enabled high-dimensional, high-throughput measurements of individual cells as well as the interrogation of cell population heterogeneity. However, in many instances, computational tools to analyze the wealth of data generated by these technologies are lacking. Here, we present a computational framework for unbiased combinatorial polyfunctionality analysis of antigen-specific T-cell subsets (COMPASS). COMPASS uses a Bayesian hierarchical framework to model all observed cell subsets and select those most likely to have antigen-specific responses. Cell-subset responses are quantified by posterior probabilities, and human subject-level responses are quantified by two summary statistics that describe the quality of an individual's polyfunctional response and can be correlated directly with clinical outcome. Using three clinical data sets of cytokine production, we demonstrate how COMPASS improves characterization of antigen-specific T cells and reveals cellular 'correlates of protection/immunity' in the RV144 HIV vaccine efficacy trial that are missed by other methods. COMPASS is available as open-source software.
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Probabilistic inversion methods based on Markov chain Monte Carlo (MCMC) simulation are well suited to quantify parameter and model uncertainty of nonlinear inverse problems. Yet, application of such methods to CPU-intensive forward models can be a daunting task, particularly if the parameter space is high dimensional. Here, we present a 2-D pixel-based MCMC inversion of plane-wave electromagnetic (EM) data. Using synthetic data, we investigate how model parameter uncertainty depends on model structure constraints using different norms of the likelihood function and the model constraints, and study the added benefits of joint inversion of EM and electrical resistivity tomography (ERT) data. Our results demonstrate that model structure constraints are necessary to stabilize the MCMC inversion results of a highly discretized model. These constraints decrease model parameter uncertainty and facilitate model interpretation. A drawback is that these constraints may lead to posterior distributions that do not fully include the true underlying model, because some of its features exhibit a low sensitivity to the EM data, and hence are difficult to resolve. This problem can be partly mitigated if the plane-wave EM data is augmented with ERT observations. The hierarchical Bayesian inverse formulation introduced and used herein is able to successfully recover the probabilistic properties of the measurement data errors and a model regularization weight. Application of the proposed inversion methodology to field data from an aquifer demonstrates that the posterior mean model realization is very similar to that derived from a deterministic inversion with similar model constraints.
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Tutkimuksen tavoitteena oli etsiä kohdeorganisaation taustalla olevia tekijöitä, jotka joko edesauttavat tai estävät nykyisen johtamisjärjestelmän soveltamista, tiedon käyttöä ja hyödyntämistä organisaation työpisteissä. Kohdeorganisaatio on Varenso Oy, Tekniset tuotantopalvelut. Teoriaosiossa käsitellään tietojohtamiseen liittyvää käsitteistöä sekä tiedon luomiseen, johtamiseen ja hyödyntämiseen liittyviä tekijöitä. Johtamista lähestytään myös perustehtävän, strategian ja muutosvalmiuden, valta- ja organisaatiorakenteiden sekä informaatio- ohjauksen näkökulmasta. Lopuksi käsitellään suorituskykyä, tavoitteiden asettamista, mittaamista funktionaalisissa- ja prosessijohdetuissa organisaatioissa. Empiirisessä osiossa tehtiin kyselytutkimus. Tulokset analysoitiin monimuuttujamenetelmiä soveltaen ja löydettiin faktorit, joiden avulla on mahdollista vaikuttaa kohdeorganisaation toimintaan. Kyselytutkimuksen avulla tulkittiin organisaation tämän hetkistä suorituskykyä ja asemaa suhteessa tavoitteisiin. Tuloksena syntyi myös toimenpideehdotuksia.
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Background: Nursing terminologies are designed to support nursing practice but, as with any other clinical tool, they should be evaluated. Cross-mapping is a formal method for examining the validity of the existing controlled vocabularies. Objectives: The study aims to assess the inclusiveness and expressiveness of the nursing diagnosis axis of a newly implemented interface terminology by cross-mapping with the NANDA-I taxonomy. Design/Methods: The study applied a descriptive design, using a cross-sectional, bidirectional mapping strategy. The sample included 728 concepts from both vocabularies. Concept cross-mapping was carried out to identify one-to-one, negative, and hierarchical connections. The analysis was conducted using descriptive statistics. Results: Agreement of the raters" mapping achieved 97%. More than 60% of the nursing diagnosis concepts in the NANDA-I taxonomy were mapped to concepts in the diagnosis axis of the new interface terminology; 71.1% were reversely mapped. Conclusions: Main results for outcome measures suggest that the diagnosis axis of this interface terminology meets the validity criterion of cross-mapping when mapped from and to the NANDA-I taxonomy.
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Long-term assessment of the effects of psychotherapy for personality disorders (PDs) in a natural environment is an important task. Such research contributes to enlarge the practice-based evidence, embedded in broad collaborations between clinicians and researchers in psychotherapy for PDs. The present pilot study used rigorous assessment procedures and incorporated feedback loops of outcome information to the therapists in demonstrating the effects of psychotherapy for PD in a natural setting. The number of Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV), criteria for any PD was the primary outcome (along with psychological distress, depression, impulsiveness, and quality of life as secondary measures), assessed at intake, 6, 12, 18, and 24 months of psychotherapy for N = 13 patients with PD. Data were analyzed using hierarchical linear modeling. Results demonstrated a large pre-post effect (d = 2.22) for the observer-rated measure (primary outcome), and small to medium effects for the secondary outcomes; these results were corroborated by a steady decrease of symptoms over all five time points, which was significant for several outcomes. These results add a piece to the literature by demonstrating the effects of long-term psychotherapy for PDs in increasingly diverse contexts and suggest that practice-oriented research can be carried out in a collaborative and systematic manner.
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Tutkielman tarkoituksena oli yleisesti ymmärtää sisäistä yhteistyökyvykkyyttä ja sen roolia yrityksen menestystekijänä. Empiirisesti sisäistä yhteistyökyvykkyyttä tarkasteltiin case-organisaation, Metso Paper Jyväskylän, avulla. Tavoitteena oli selvittää, mistä sisäinen yhteistyökyvykkyys koostuu sekä siihen vaikuttavia kriittisiä tekijöitä. Myös käytännön keinoja ja sovelluksia etsittiin edistämään sisäistä yhteistyötä. Tutkielmassa käytettiin kvalitatiivista tutkimusotetta. Tiedon hankinnan strategiana oli tapaustutkimus ja tutkimusaineisto kerättiin teemahaastattelujen avulla. Saatu aineisto analysoitiin teemoittelun avulla. Teemoja etsittiin tekstistä teoriasta johdettujen oletusten ja empiriasta löydettyjen tekijöiden perusteella. Tutkimuksen tuloksena oli, että yhteistyökyvykkyys koostuu sekä yksilöön että organisaatioon liittyvistä tekijöistä. Yhteistyökyvykkyyden kriittisiä ja sitä estäviä tekijöitä olivat toiminnan painottuminen ulkoisiin suhteisiin, muodollinen ja monitasoinen organisaatiorakenne, organisaatiorakenteiden nopea muutostahti, toimintamallin yksisuuntaisuus, organisaatio- ja johtamiskulttuuri, joka ei tue yhteistyötä, ylimmän johdon ja operatiivisten toimintojen välinen kuilu, tiedon painottuminen tietojärjestelmiin, dialogin puute, kommunikoinnin yksisuuntaisuus ja erilaisista työkulttuureista aiheutuvat kommunikaatioesteet, yhteistyösuhteiden puute ja transaktiosuhteiden painottuminen sekä ryhmien sisäisen yhtenäisyyden vahvuus. Näiden tekijöiden esiin tuominen tuo uusia näkökulmia organisaation sisäisen yhteistyökyvykkyyden ymmärtämiseen ja kehittämiseen.
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Background: Differences in the distribution of genotypes between individuals of the same ethnicity are an important confounder factor commonly undervalued in typical association studies conducted in radiogenomics. Objective: To evaluate the genotypic distribution of SNPs in a wide set of Spanish prostate cancer patients for determine the homogeneity of the population and to disclose potential bias. Design, Setting, and Participants: A total of 601 prostate cancer patients from Andalusia, Basque Country, Canary and Catalonia were genotyped for 10 SNPs located in 6 different genes associated to DNA repair: XRCC1 (rs25487, rs25489, rs1799782), ERCC2 (rs13181), ERCC1 (rs11615), LIG4 (rs1805388, rs1805386), ATM (rs17503908, rs1800057) and P53 (rs1042522). The SNP genotyping was made in a Biotrove OpenArrayH NT Cycler. Outcome Measurements and Statistical Analysis: Comparisons of genotypic and allelic frequencies among populations, as well as haplotype analyses were determined using the web-based environment SNPator. Principal component analysis was made using the SnpMatrix and XSnpMatrix classes and methods implemented as an R package. Non-supervised hierarchical cluster of SNP was made using MultiExperiment Viewer. Results and Limitations: We observed that genotype distribution of 4 out 10 SNPs was statistically different among the studied populations, showing the greatest differences between Andalusia and Catalonia. These observations were confirmed in cluster analysis, principal component analysis and in the differential distribution of haplotypes among the populations. Because tumor characteristics have not been taken into account, it is possible that some polymorphisms may influence tumor characteristics in the same way that it may pose a risk factor for other disease characteristics. Conclusion: Differences in distribution of genotypes within different populations of the same ethnicity could be an important confounding factor responsible for the lack of validation of SNPs associated with radiation-induced toxicity, especially when extensive meta-analysis with subjects from different countries are carried out.
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MOTIVATION: Lipids are a large and diverse group of biological molecules with roles in membrane formation, energy storage and signaling. Cellular lipidomes may contain tens of thousands of structures, a staggering degree of complexity whose significance is not yet fully understood. High-throughput mass spectrometry-based platforms provide a means to study this complexity, but the interpretation of lipidomic data and its integration with prior knowledge of lipid biology suffers from a lack of appropriate tools to manage the data and extract knowledge from it. RESULTS: To facilitate the description and exploration of lipidomic data and its integration with prior biological knowledge, we have developed a knowledge resource for lipids and their biology-SwissLipids. SwissLipids provides curated knowledge of lipid structures and metabolism which is used to generate an in silico library of feasible lipid structures. These are arranged in a hierarchical classification that links mass spectrometry analytical outputs to all possible lipid structures, metabolic reactions and enzymes. SwissLipids provides a reference namespace for lipidomic data publication, data exploration and hypothesis generation. The current version of SwissLipids includes over 244 000 known and theoretically possible lipid structures, over 800 proteins, and curated links to published knowledge from over 620 peer-reviewed publications. We are continually updating the SwissLipids hierarchy with new lipid categories and new expert curated knowledge. AVAILABILITY: SwissLipids is freely available at http://www.swisslipids.org/. CONTACT: alan.bridge@isb-sib.ch SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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BACKGROUND: The bacterial flagellum is the most important organelle of motility in bacteria and plays a key role in many bacterial lifestyles, including virulence. The flagellum also provides a paradigm of how hierarchical gene regulation, intricate protein-protein interactions and controlled protein secretion can result in the assembly of a complex multi-protein structure tightly orchestrated in time and space. As if to stress its importance, plants and animals produce receptors specifically dedicated to the recognition of flagella. Aside from motility, the flagellum also moonlights as an adhesion and has been adapted by humans as a tool for peptide display. Flagellar sequence variation constitutes a marker with widespread potential uses for studies of population genetics and phylogeny of bacterial species. RESULTS: We sequenced the complete flagellin gene (flaA) in 18 different species and subspecies of Aeromonas. Sequences ranged in size from 870 (A. allosaccharophila) to 921 nucleotides (A. popoffii). The multiple alignment displayed 924 sites, 66 of which presented alignment gaps. The phylogenetic tree revealed the existence of two groups of species exhibiting different FlaA flagellins (FlaA1 and FlaA2). Maximum likelihood models of codon substitution were used to analyze flaA sequences. Likelihood ratio tests suggested a low variation in selective pressure among lineages, with an omega ratio of less than 1 indicating the presence of purifying selection in almost all cases. Only one site under potential diversifying selection was identified (isoleucine in position 179). However, 17 amino acid positions were inferred as sites that are likely to be under positive selection using the branch-site model. Ancestral reconstruction revealed that these 17 amino acids were among the amino acid changes detected in the ancestral sequence. CONCLUSION: The models applied to our set of sequences allowed us to determine the possible evolutionary pathway followed by the flaA gene in Aeromonas, suggesting that this gene have probably been evolving independently in the two groups of Aeromonas species since the divergence of a distant common ancestor after one or several episodes of positive selection. REVIEWERS: This article was reviewed by Alexey Kondrashov, John Logsdon and Olivier Tenaillon (nominated by Laurence D Hurst).
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We hypothesized that shorter sleep durations and greater variability in sleep patterns are associated with weight gain in the first semester of university. Students (N = 132) completed daily sleep diaries for 9 weeks, completed the MEQ (chronotype) and CES-D (depressed mood) at week 9, and self-reported weight/height (weeks 1 & 9). Mean and variability scores were calculated for sleep duration (TST, TSTv), bedtime (BT, BTv), and wake time (WT, WTv). An initial hierarchical regression evaluated (block 1) sex, ethnicity; (block 2) depressed mood, chronotype; (block 3) TST; (block 4) BT, WT; and (block 5; R(2) change = 0.09, p = 0.005) TSTv, BTv, WTv with weight change. A sex-by-TSTv interaction was found. A final model showed that ethnicity, TST, TSTv, and BTv accounted for 31% of the variance in weight change for males; TSTv was the most significant contributor (R(2) change = 0.21, p < 0.001). Daily variability in sleep duration contributes to males' weight gain. Further investigation needs to examine sex-specific outcomes for sleep and weight.
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Monikulttuurinen johtaminen on globalisaation ja nopean kansainvälistymisen takia erittäin ajankohtainen aihe. Suomessa sitä on kuitenkin tutkittu vasta vähän. Tämän tutkimuksen tarkoituksena on tutkia Suomen suurlähetystöjenmonikulttuurista johtamista Aasian eri kohdemaissa ja kulttuureissa sekä ottaa osaa tieteelliseen keskusteluun monikulttuurisesta johtamisesta. Tutkimuksen kohdemaiksi on valittu neljä Aasian maata, jotka ovat tällä hetkellä hyvin ajankohtaisia nopean talouskasvunsa takia. Itä-Aasiasta mukana ovat Etelä-Korea (Korean tasavalta), Japani ja Kiinan kansantasavalta sekä Kaakkois-Aasiasta tutkimuksessa mukana on Malesia. Tämä tutkimus on laadullinen tutkimus, jonka aineisto koostuu kahdesta laadulliselle tutkimukselle poikkeuksellisesta avoimesta kyselystä, jotka on lähetetty edellä mainittujen maiden suurlähettiläille eri kohdemaihin. Analyysissä menetelmänä on käytetty teemoittelua, jonka avulla on voitu jäsentää saatua aineistoa. Näin teemojen vertailu on myös ollut helpompaa. Tutkimuksen tuloksista kävi ilmi, että monikulttuurinen johtaminen on erittäin haasteellista kansallisten kulttuurien eroista johtuen. Arvot ovat hyvin keskeisessä osassa kulttuuria tutkittaessa ja niiden erot voivat vaikeuttaa kanssakäymistä eri kulttuureista tulevien ihmisten kesken, koska asioiden merkitykset jäävät usein arvoituksiksi vieraasta kulttuurista tuleville henkilöille. Kansallisen kulttuurin tekijöistä kieli, arvot ja uskonto ovat merkittäviä monikulttuurisen johtamisen kannalta. Tutkimuksesta kävi myös ilmi, että Itä- Aasian maissa konfutselaisuudella on suuri merkitys yhteiskuntafilosofiana. Se on muokannut yhteiskunnan arvoja, tapoja ja rakenteita. Vanhempien ja ylempiarvoisten ihmisten arvostus ja vahvasti hierarkkinen yhteiskuntarakenne ovat tyypillisiä konfutselaisuuden piirteitä. Kulttuurin ulottuvuuksista merkityksellisempiä tämän tutkimuksen kannalta ovat yksilöllisyys vs. kollektiivisuus, valtaetäisyys ja konfutselaisuuden dynamiikka (lyhyen vs. pitkän aikavälin suuntautuminen). Kaikki tämän tutkimuksen maat ovat kollektiivisia sekä niissä valtaetäisyys on myös korkea. Tämä tuo haasteita monikulttuuriseen johtamiseen Suomen suurlähetystöissä, koska suomalainen kulttuuri on useimpien länsimaiden tapaan yksilöllinen ja valtaetäisyys on suhteellisen matala. Konfutselaisuuden dynamiikka vaikuttaa lähinnä vain Itä-Aasian maissa tuoden mukanaan erittäin vahvan hierarkian, jota ei voi sivuuttaa. Tutkimuksen aineistoa käsitellään näytenäkökulmasta, eikä sitä ei voisuoraan verrata muihin organisaatioihin tai kulttuureihin. Toisaalta jokaisen kansallisen kulttuurin ihmiset toimivat tietyllä tavalla tietyssä kontekstissa, riippumatta siitä, missä organisaatiossa he työskentelevät. Kulttuuri ohjaa ihmisen toimintaa ja kansallinen kulttuuri on yrityskulttuuria voimakkaampi tekijä.
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In recent years there has been growing interest in composite indicators as an efficient tool of analysis and a method of prioritizing policies. This paper presents a composite index of intermediary determinants of child health using a multivariate statistical approach. The index shows how specific determinants of child health vary across Colombian departments (administrative subdivisions). We used data collected from the 2010 Colombian Demographic and Health Survey (DHS) for 32 departments and the capital city, Bogotá. Adapting the conceptual framework of Commission on Social Determinants of Health (CSDH), five dimensions related to child health are represented in the index: material circumstances, behavioural factors, psychosocial factors, biological factors and the health system. In order to generate the weight of the variables, and taking into account the discrete nature of the data, principal component analysis (PCA) using polychoric correlations was employed in constructing the index. From this method five principal components were selected. The index was estimated using a weighted average of the retained components. A hierarchical cluster analysis was also carried out. The results show that the biggest differences in intermediary determinants of child health are associated with health care before and during delivery.
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In the context of the publication of DSM-5, the Personality Inventory for DSM-5 (PID-5) has been proposed as a new dimensional assessment tool for personality disorders. This instrument includes a pool of 220 items organized around 25 facets included in a five-factor second-order domain structure. The examination of the replicability of the trait structure across methods and populations is of primary importance. In view of this need, the main objective of the current study was to validate the French version of the PID-5 among French-speaking adults from a European community sample (N=2,532). In particular, the assumption of unidimensionality of the 25 facet and the five domain scales was tested, as well as the extent to which the five-factor structure of the PID-5 and the DSM-5 personality trait hierarchical structure are replicated in the current sample. The results support the assumption of unidimensionality of both the facets and the domains. Exploratory factor and hierarchical analyses replicated the five-factor structure as initially proposed in the PID-5.