984 resultados para Critical groups


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Isotope ratio mass spectrometry (IRMS) has been used in numerous fields of forensic science in a source inference perspective. This review compiles the studies published on the application of isotope ratio mass spectrometry (IRMS) to the traditional fields of forensic science so far. It completes the review of Benson et al. [1] and synthesises the extent of knowledge already gathered in the following fields: illicit drugs, flammable liquids, human provenancing, microtraces, explosives and other specific materials (packaging tapes, safety matches, plastics, etc.). For each field, a discussion assesses the state of science and highlights the relevance of the information in a forensic context. Through the different discussions which mark out the review, the potential and limitations of IRMS, as well as the needs and challenges of future studies are emphasized. The paper elicits the various dimensions of the source which can be obtained from the isotope information and demonstrates the transversal nature of IRMS as a tool for source inference.

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This study described elite football (soccer) goalkeepers' activity and performance in critical game situations. The 11 best French players (M age = 15.5 yr., SD = 0.5) participated in the study. Interviews focused on goalkeepers' experiences were conducted to identify meaningful events involved in failed actions. Players formulated 23 critical game situations. Verbatim encoding using a thematic analysis indicated that four main categories (coming off the line, goal-line clearance, one-on-one, and diving) represented the most critical situations encountered during matches. The relations among experience and action, inner states, background, attention contents, and intentions were elucidated. The discussion is grounded on the properties of such critical game situations and their implications for improving goalkeepers' performance.

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In this commentary, we argue that the term 'prediction' is overly used when in fact, referring to foundational writings of de Finetti, the correspondent term should be inference. In particular, we intend (i) to summarize and clarify relevant subject matter on prediction from established statistical theory, and (ii) point out the logic of this understanding with respect practical uses of the term prediction. Written from an interdisciplinary perspective, associating statistics and forensic science as an example, this discussion also connects to related fields such as medical diagnosis and other areas of application where reasoning based on scientific results is practiced in societal relevant contexts. This includes forensic psychology that uses prediction as part of its vocabulary when dealing with matters that arise in the course of legal proceedings.

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BACKGROUND: Twelve-step mutual-help groups (TMGs) are among the most available forms of support for homeless individuals with alcohol problems. Qualitative research, however, has suggested that this population often has negative perceptions of these groups, which has been shown to be associated with low TMG attendance. It is important to understand this population's perceptions of TMGs and their association with alcohol outcomes to provide more appropriate and better tailored programming for this multiply affected population. The aims of this cross-sectional study were to (a) qualitatively examine perception of TMGs in this population and (b) quantitatively evaluate its association with motivation, treatment attendance and alcohol outcomes. METHODS: Participants (N=62) were chronically homeless individuals with alcohol problems who received single-site Housing First within a larger evaluation study. Perceptions of TMGs were captured using an open-ended item. Quantitative outcome variables were created from assessments of motivation, treatment attendance and alcohol outcomes. RESULTS: Findings indicated that perceptions of TMGs were primarily negative followed by positive and neutral perceptions, respectively. There were significant, positive associations between perceptions of TMGs and motivation and treatment attendance, whereas no association was found for alcohol outcomes. CONCLUSIONS: Although some individuals view TMGs positively, alternative forms of help are needed to engage the majority of chronically homeless individuals with alcohol problems.

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Background: Toll-like receptors (TLRs) are critical components for host pathogen recognition and variants in genes participating in this response influence susceptibility to infections. Recently, TLR1 gene polymorphisms have been found correlated with whole blood hyper-inflammatory responses to pathogen-associated molecules and associated with sepsis-associated multiorgan dysfunction and acute lung injury (ALI). We examined the association of common variants of TLR1 gene with sepsis-derived complications in an independent study and with serum levels for four inflammatory biomarker among septic patients. Methodology/Principal Findings: Seven tagging single nucleotide polymorphisms of the TLR1 gene were genotyped in samples from a prospective multicenter case-only study of patients with severe sepsis admitted into a network of intensive care units followed for disease severity. Interleukin (IL)-1 b, IL-6, IL-10, and C-reactive protein (CRP) serum levels were measured at study entry, at 48 h and at 7th day. Alleles -7202G and 248Ser, and the 248Ser-602Ile haplotype were associated with circulatory dysfunction among severe septic patients (0.001<=p <= 0.022), and with reduced IL-10 (0.012<= p <=0.047) and elevated CRP (0.011<= p <=0.036) serum levels during the first week of sepsis development. Additionally, the -7202GG genotype was found to be associated with hospital mortality (p =0.017) and ALI (p =0.050) in a combined analysis with European Americans, suggesting common risk effects among studies Conclusions/Significance: These results partially replicate and extend previous findings, supporting that variants of TLR1 gene are determinants of severe complications during sepsis.

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Työn pääasiallisena tavoitteena on selvittää ydinosaamista, jota tarvitaan kansainvälisen metsäteollisuusyrityksen loppukäyttäjävetoisessa liiketoiminnassa. Lisäksi tavoitteena on laatia kompetenssimalli, jota voidaan käyttää mm. rekrytoinnissa, koulutuksen ja työnkierron suunnittelussa. Tarkoituksena on tarkastella sekä tällä hetkellä että tulevaisuudessa tarvittavia ydinosaamisia. Työ keskittyy myyntihenkilöiden kompetenssien kuvaamiseen. Kirjallisuuden ja asiantuntijoiden haastattelujen avulla on selvitetty. kompetensseihin liittyviä asioita ja käsitteitä, kuten organisaation oppiminen, innovaatiot sekä asiakaslähtöisyys. Tämän jälkeen on kartoitettu case-yrityksen kartonkiyksikön myyntihenkilökunnan kompetensseja. Kompetenssikartoitus on tehty teemahaastattelujen avulla sekä lisäksi on käytetty työn aikana laadittua kompetenssimatriisia. Saatuja tuloksia on verrattu yhden asiakkaan näkemyksiin. Tulosten mukaan kolme tärkeintä tämän hetken kompetenssia ovat: holistinen näkemys asioista, suhteiden rakentaminen ja kielitaito. Tulevaisuuden tärkeimpiä kompetensseja puolestaan ovat: asiakaslähtöisyys, sähköinen kaupankäynti ja suhteiden rakentaminen. Lopuksi on käsitelty yleisiä metsäteollisuuden tulevaisuuden haasteita sekä annettu joitain kehitysideoita kompetenssien kehittämistä varten.

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Tämä työ luo katsauksen ajallisiin ja stokastisiin ohjelmien luotettavuus malleihin sekä tutkii muutamia malleja käytännössä. Työn teoriaosuus sisältää ohjelmien luotettavuuden kuvauksessa ja arvioinnissa käytetyt keskeiset määritelmät ja metriikan sekä varsinaiset mallien kuvaukset. Työssä esitellään kaksi ohjelmien luotettavuusryhmää. Ensimmäinen ryhmä ovat riskiin perustuvat mallit. Toinen ryhmä käsittää virheiden ”kylvöön” ja merkitsevyyteen perustuvat mallit. Työn empiirinen osa sisältää kokeiden kuvaukset ja tulokset. Kokeet suoritettiin käyttämällä kolmea ensimmäiseen ryhmään kuuluvaa mallia: Jelinski-Moranda mallia, ensimmäistä geometrista mallia sekä yksinkertaista eksponenttimallia. Kokeiden tarkoituksena oli tutkia, kuinka syötetyn datan distribuutio vaikuttaa mallien toimivuuteen sekä kuinka herkkiä mallit ovat syötetyn datan määrän muutoksille. Jelinski-Moranda malli osoittautui herkimmäksi distribuutiolle konvergaatio-ongelmien vuoksi, ensimmäinen geometrinen malli herkimmäksi datan määrän muutoksille.