23 research outputs found

    OCCURRENCE OF Calodium hepaticum (BANCROFT, 1893) MORAVEC, 1982 EGGS IN FECES OF DOGS AND CATS IN LAGES, SANTA CATARINA, BRAZIL

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    This study aims to report the incidence of Calodium hepaticum among dogs and cats, pets or stray animals, captured by the Zoonosis Control Center (CCZ) in Lages, Santa Catarina, Brazil. Fecal samples from 108 pet dogs and eight pet cats, and from 357 stray dogs and 97 stray cats, captured by CCZ, were analyzed within the period from July 2010 to November 2012. Coproparasitological exams were performed by techniques of sedimentation, centrifuge-flotation, and simple flotation. Among 465 fecal samples from dogs and 105 from cats, the overall spurious infections for C. hepaticum eggs were 1.05%. For dogs, this positivity was 0.43% and for cats it was 3.81%. The two positive dogs were stray and out of the four cats, three were stray and one was a pet. Although the occurrence of C. hepaticum eggs was low, these data reveal the existence of infected rodents, especially in public places, since, out of the six infected animals, five (83.33%) were stray. These results are discussed and analyzed with an emphasis on the risk to public health

    Novel method for combined linkage and genome-wide association analysis finds evidence of distinct genetic architecture for two subtypes of autism

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    The Autism Genome Project has assembled two large datasets originally designed for linkage analysis and genome-wide association analysis, respectively: 1,069 multiplex families genotyped on the Affymetrix 10 K platform, and 1,129 autism trios genotyped on the Illumina 1 M platform. We set out to exploit this unique pair of resources by analyzing the combined data with a novel statistical method, based on the PPL statistical framework, simultaneously searching for linkage and association to loci involved in autism spectrum disorders (ASD). Our analysis also allowed for potential differences in genetic architecture for ASD in the presence or absence of lower IQ, an important clinical indicator of ASD subtypes. We found strong evidence of multiple linked loci; however, association evidence implicating specific genes was low even under the linkage peaks. Distinct loci were found in the lower IQ families, and these families showed stronger and more numerous linkage peaks, while the normal IQ group yielded the strongest association evidence. It appears that presence/absence of lower IQ (LIQ) demarcates more genetically homogeneous subgroups of ASD patients, with not just different sets of loci acting in the two groups, but possibly distinct genetic architecture between them, such that the LIQ group involves more major gene effects (amenable to linkage mapping), while the normal IQ group potentially involves more common alleles with lower penetrances. The possibility of distinct genetic architecture across subtypes of ASD has implications for further research and perhaps for research approaches to other complex disorders as well

    Performance evaluation of the croissant production line with reparable machines

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    In this study, the analytical probability models for an automated serial production system, bufferless that consists of n-machines in series with common transfer mechanism and control system was developed. Both time to failure and time to repair a failure are assumed to follow exponential distribution. Applying those models, the effect of system parameters on system performance in actual croissant production line was studied. The production line consists of six workstations with different numbers of reparable machines in series. Mathematical models of the croissant production line have been developed using Markov process. The strength of this study is in the classification of the whole system in states, representing failures of different machines. Failure and repair data from the actual production environment have been used to estimate reliability and maintainability for each machine, workstation, and the entire line is based on analytical models. The analysis provides a useful insight into the system's behaviour, helps to find design inherent faults and suggests optimal modifications to upgrade the system and improve its performance
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