990 resultados para US Army Laboratory Command.
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Currently, sticky traps are regularly employed to assist in the surveillance of Aedes aegypti infestation. We tested two alternative procedures for specimen identification performed by local health agents: directly in the field, as recommended by certain manufacturers, or after transportation to the laboratory. A total of 384 sticky traps (MosquiTRAP) were monitored monthly during one year in four geographically representative Brazilian municipalities. When the same samples were inspected in the field and in the laboratory, large differences were noted in the total number of mosquitoes recorded and in the number of specimens identified as Ae. aegypti by both procedures. Although field identification has the potential to speed vector surveillance, these results point to uncertainties in the evaluated protocol.
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Laboratory safety data are routinely collected in clinical studies for safety monitoring and assessment. We have developed a truncated robust multivariate outlier detection method for identifying subjects with clinically relevant abnormal laboratory measurements. The proposed method can be applied to historical clinical data to establish a multivariate decision boundary that can then be used for future clinical trial laboratory safety data monitoring and assessment. Simulations demonstrate that the proposed method has the ability to detect relevant outliers while automatically excluding irrelevant outliers. Two examples from actual clinical studies are used to illustrate the use of this method for identifying clinically relevant outliers.
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We describe here a very simple modification of the auramine staining procedure based on preparation of a UV-fixed thick blotch which allowed us to reach an overall sensitivity of 0.82 (592 acid-fast bacillus [AFB]-positive specimens/722 initial respiratory specimens with positive mycobacterial culture) and sensitivities of 0.93 (526 AFB-positive specimens/564 culture-positive specimens) for Mycobacterium tuberculosis complex and 0.42 (66 AFB-positive specimens/158 culture-positive specimens) for nontuberculous mycobacteria.
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No estudo aqui apresentado, aplicou-se um modelo de rede neural multicamadas para o apreçamento de calls sobre taxa de câmbio R$/US$, negociadas na Bolsa de Valores, Mercadorias & Futuros de São Paulo (BM&FBovespa), para o período de janeiro de 2004 a dezembro de 2007. A partir dos preços efetivamente praticados no mercado, comparou-se o desempenho entre essa técnica e o modelo de Black, utilizando-se métricas usuais de erro e testes estatísticos. Os resultados obtidos revelaram, em geral, a melhor adequação do modelo de inteligência artificial, em comparação ao modelo de Black, nos diferentes graus de moneyness.
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We performed a comprehensive study to assess the fit for purpose of four chromatographic conditions for the determination of six groups of marine lipophilic toxins (okadaic acid and dinophysistoxins, pectenotoxins, azaspiracids, yessotoxins, gymnodimine and spirolides) by LC-MS/MS to select the most suitable conditions as stated by the European Union Reference Laboratory for Marine Biotoxins (EURLMB). For every case, the elution gradient has been optimized to achieve a total run-time cycle of 12 min. We performed a single-laboratory validation for the analysis of three relevant matrices for the seafood aquaculture industry (mussels, pacific oysters and clams), and for sea urchins for which no data about lipophilic toxins have been reported before. Moreover, we have compared the method performance under alkaline conditions using two quantification strategies: the external standard calibration (EXS) and the matrix-matched standard calibration (MMS). Alkaline conditions were the only scenario that allowed detection windows with polarity switching in a 3200 QTrap mass spectrometer, thus the analysis of all toxins can be accomplished in a single run, increasing sample throughput. The limits of quantification under alkaline conditions met the validation requirements established by the EURLMB for all toxins and matrices, while the remaining conditions failed in some cases. The accuracy of the method and the matrix effects where generally dependent on the mobile phases and the seafood species. The MMS had a moderate positive impact on method accuracy for crude extracts, but it showed poor trueness for seafood species other than mussels when analyzing hydrolyzed extracts. Alkaline conditions with EXS and recovery correction for OA were selected as the most proper conditions in the context of our laboratory. This comparative study can help other laboratories to choose the best conditions for the implementation of LC-MS/MS according to their own necessities.
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Objective. To measure support for seasonal influenza vaccination requirements among US healthcare personnel (HCP) and its associations with attitudes regarding influenza and influenza vaccination and self-reported coverage by existing vaccination requirements. Design. Between June 1 and June 30, 2010, we surveyed a sample of US HCP ([Formula: see text]) recruited using an existing probability-based online research panel of participants representing the US general population as a sampling frame. Setting. General community. Participants. Eligible HCP who (1) reported having worked as medical doctors, health technologists, healthcare support staff, or other health practitioners or who (2) reported having worked in hospitals, ambulatory care facilities, long-term care facilities, or other health-related settings. Methods. We analyzed support for seasonal influenza vaccination requirements for HCP using proportion estimation and multivariable probit models. Results. A total of 57.4% (95% confidence interval, 53.3%-61.5%) of US HCP agreed that HCP should be required to be vaccinated for seasonal influenza. Support for mandatory vaccination was statistically significantly higher among HCP who were subject to employer-based influenza vaccination requirements, who considered influenza to be a serious disease, and who agreed that influenza vaccine was safe and effective. Conclusions. A majority of HCP support influenza vaccination requirements. Moreover, providing HCP with information about the safety of influenza vaccination and communicating that immunization of HCP is a patient safety issue may be important for generating staff support for influenza vaccination requirements.
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Given a set of images of scenes containing different object categories (e.g. grass, roads) our objective is to discover these objects in each image, and to use this object occurrences to perform a scene classification (e.g. beach scene, mountain scene). We achieve this by using a supervised learning algorithm able to learn with few images to facilitate the user task. We use a probabilistic model to recognise the objects and further we classify the scene based on their object occurrences. Experimental results are shown and evaluated to prove the validity of our proposal. Object recognition performance is compared to the approaches of He et al. (2004) and Marti et al. (2001) using their own datasets. Furthermore an unsupervised method is implemented in order to evaluate the advantages and disadvantages of our supervised classification approach versus an unsupervised one
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Purpose: Precise diagnosis of DVT of the legs is a challenging problem, not only in front of suspicion of PE, but also in all status of leg pain, warmth and swelling. Clinical diagnosis has a low accuracy and further investigations are mandatory in order to diagnose DVT. Amongst the possible investigations, US has a high specificity and a good NPV. However, many pathologies unrelated to the veins may mimic the signs and symptoms of DVT and have to be recognized in order to make the correct diagnosis. The purpose of this paper is to review the results of the US investigations of the legs performed in our Department during the last three years for a suspicion of DVT and describe alternative diagnoses mimicking DVT. Methods and materials: Through a RIS-based search, we retrospectively reviewed all the cases of US of the legs performed in our Department between January 2006 and December 2008 for a suspicion of DVT. We selected the cases of positive findings unrelated to the veins and illustrated these findings with characteristic images. Results: 419 US of the legs were performed between December 2006 and December 2008 for a suspicion of DVT. Among these, 75 were positive for DVT, and 79 for alternative diagnosis. The most common alternative diagnosis was edema of the legs (31%), followed by hematoma (23%). Other findings were Baker cysts (13%), cellulitis (10%) and lymphoceles (5%). Rare diagnoses were arterio-venous malformations, pseudoaneurysms, pelvic masses, necrosing fasciitis, intramuscular abscesses, subcutaneous seromas, sarcoma and ganglion cysts. Conclusion: A greater knowledge of the US appearance of the pathologies mimicking DVT may help to make the correct diagnosis, avoiding further expensive investigations or inappropriate anticoagulant therapy.
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ISSUE: This article explores mechanisms of the efficacy of brief intervention (BI). APPROACH: We conducted a BI trial at the emergency department of the Lausanne University Hospital, of whom 987 at-risk drinkers were randomised into BI and control groups. The overall results demonstrated a general decrease in alcohol use with no differences across groups. The intention to change was explored among 367 patients who completed BI. Analyses of 97 consecutive tape-recorded sessions explored patient and counsellor talks during BI, and their relationship to alcohol use outcome. KEY FINDINGS: Evaluation of the articulation between counsellor behaviours and patient language revealed a robust relationship between counsellor motivational interviewing (MI) skills and patient change talk during the intervention. Further exploration suggested that communication characteristics of patients during BI predicted changes in alcohol consumption 12 months later. Moreover, despite systematic training, important differences in counsellor performance were highlighted. Counsellors who had superior MI skills achieved better outcomes overall, and maintained efficacy across all levels of patient ability to change, whereas counsellors with inferior MI skills were effective mostly with patients who had higher levels of ability to change. Finally, the descriptions of change talk trajectories within BI and their association with drinking 12 months later showed that final states differed from initial states, suggesting an impact resulting from the progression of change talk during the course of the intervention. IMPLICATION: These findings suggest that BI should focus on the general MI attitude of counsellors who are capable of eliciting beneficial change talk from patients. [Daeppen J-B, Bertholet N, Gaume J. What process research tells us about brief intervention efficacy.
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Background: Medical prescription after organ transplant must prevent both rejection and infectious complications. We assessed the 1-year effectiveness and cost of introducing a new combined regimen in kidney transplantation. Methods: Patients transplanted from January 2000 to March 2003 (Period 1) were compared to patients transplanted from April 2003 to July 2005 (Period 2). In period 1, patients were treated with Basiliximab, Cyclosporin, steroids and Mycophenolate (MMF) or Azathioprine. Prophylaxis with Valacyclovir was prescribed only in CMV D+/R- patients. In period 2, immunosuppressive drugs were Basiliximab, Tacrolimus, steroids and MMF. A 3-month universal CMV prophylaxis with Valganciclovir was used. Medical charts of outpatient visits allowed identifying drug, laboratory and radiological tests use, and hospital information system causes of hospitalisation and length of stay (LOS) over the first year after transplant. Patients with incomplete costs data were excluded. Results: 53 patients were analysed in period 1, and 60 in period 2. CMV serostatus patterns were not significantly different between the 2 periods. Over 12 months, acute rejection decreased from 22 patients (42%) in period 1 to 4 patients (7%) in period 2 (p<0.001), and CMV infection from 25 patients (47%) to 9 patients (15%, p<0.001). Average total rehospitalisation LOS decreased from 28±19 to 20±11 days (p<0.007). Average outpatient visits decreased from 49±10 to 39±8 (p<0.001). Average immunosuppression and CMV prophylaxis costs increased from US$ 18,362±6,546 to 24,637±5,457 (p<0.001), while average graft rejection costs decreased form US$ 4,135±9,164 to 585±2,850 (p=0.005), and average CMV treatment costs from US$ 2,043±5,545 to 91±293 (p=0.008). Average outpatient visits costs decreased from US$ 7,619±1,549 to 6,074±1,043 (p<0.001), and other hospital costs from US$ 3,801±6,519 to 1,196±3,146 (p=0.007). Altogether, average 1-year treatment costs decreased from US$ 35,961±14,916 to 32,584±6,211 (p=0.115). Cost-effectiveness ratios to avoid graft rejection and CMV infection decreased from US$ 61,482±9,292 to 34,911± 1,639 (p=0.006) and US$ 68,070±11,122 to 39,899±2,650 (p=0.015), respectively. Conclusion: The new combined regimen administered in period 2 was significantly more effective. Its additional cost was more than offset by savings linked with complications avoidance.
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Annotation of protein-coding genes is a key goal of genome sequencing projects. In spite of tremendous recent advances in computational gene finding, comprehensive annotation remains a challenge. Peptide mass spectrometry is a powerful tool for researching the dynamic proteome and suggests an attractive approach to discover and validate protein-coding genes. We present algorithms to construct and efficiently search spectra against a genomic database, with no prior knowledge of encoded proteins. By searching a corpus of 18.5 million tandem mass spectra (MS/MS) from human proteomic samples, we validate 39,000 exons and 11,000 introns at the level of translation. We present translation-level evidence for novel or extended exons in 16 genes, confirm translation of 224 hypothetical proteins, and discover or confirm over 40 alternative splicing events. Polymorphisms are efficiently encoded in our database, allowing us to observe variant alleles for 308 coding SNPs. Finally, we demonstrate the use of mass spectrometry to improve automated gene prediction, adding 800 correct exons to our predictions using a simple rescoring strategy. Our results demonstrate that proteomic profiling should play a role in any genome sequencing project.