ABSTRACT
OBJECTIVE@#To preliminarily verify the effectiveness of self-designed artificial condyle-mandibular distraction (AC-MD) complex in the treatment of Pruzansky type ⅡB and Ⅲ hemifacial microsomia (HFM) through model test.@*METHODS@#Five children with Pruzansky type ⅡB and Ⅲ HFM who were treated with mandibular distraction osteogenesis (MDO) between December 2016 and December 2021 were selected as the subjects. There were 3 boys and 2 girls wih an average age of 8.4 years (range, 6-10 years). Virtual surgery and model test of AC-MD complex were performed according to preoperative skull CT of children. The model was obtained by three-dimensional (3D) printing according to the children's CT data at a ratio of 1∶1. The occlusal guide plate was designed and 3D printed according to the children's toothpaste model. The results of the model test and the virtual surgery were matched in three dimensions to calculate the error of the residual condyle on the affected side, and the model test was matched with the actual skull CT after MDO to measure and compare the inclination rotation of the mandible, the distance between the condylar of the healthy side and the residual condyle of the affected side, and the lengthening length of the mandible.@*RESULTS@#The error of residual condyle was (1.07±0.78) mm. The inclination rotation of the mandible, the distance between the condylar of the healthy side and the residual condyle of the affected side, and the lengthening length of the mandible after 3D printing model test were significantly larger than those after MDO ( P<0.05).@*CONCLUSION@#In the model test, the implantation of AC-MD complex can immediately rotate the mandible to the horizontal position and improve facial symmetry, and the residual condyle segment can be guided close to the articular fossa or the preset pseudoarticular position of the skull base after operation.
Subject(s)
Male , Child , Female , Humans , Goldenhar Syndrome/surgery , Mandible/surgery , Osteogenesis, Distraction/methods , Printing, Three-Dimensional , Facial Asymmetry/surgeryABSTRACT
The efficacies of six commercial disinfectants were evaluated by using Salmonella enterica serovar Typhimurium under simulated natural conditions such as sub-zero temperature, short disinfecting time, and surface type (uneven or smooth). We used a suspensionmodel test to determine the disinfecting efficacy under varying contact times (1, 5, 10, and 30 min) and temperatures (25℃, 4℃, 0℃, and −10℃). The bactericidal effect according to surface structure was measured by using a carriermodel test at 25℃ and −10℃. The effective concentrations of each disinfectant were fixed to give a disinfecting effect within a short time (< 1 min) at 25℃ and −10℃. The suspension model results revealed that bactericidal efficacy significantly dropped at low temperature for most of the disinfectants used; a sodium dichloroisocyanurate product showed the strongest efficacy. In the carrier test, bacterial load on a wooden surface was more difficult to remove than that on a stainless-steel surface. The results show that commercial disinfectant products vary in their disinfecting efficacy, which is affected by several field factors including temperature, contact time, and carrier material. Environmental conditions and surface type for disinfection should be considered prior to selecting an optimal disinfectant in the field.
Subject(s)
Bacterial Load , Disinfectants , Disinfection , Salmonella enterica , Salmonella , Serogroup , SodiumABSTRACT
ABSTRACT: The objective of this study was to identify a nonlinear regression model that better describes the milk production and the percentages of fat and protein curves, and to identify the season and age of calving that result in higher productions. For the analysis, 8,047 records of milk production and percentages of fat and protein obtained from 1,330 Holstein breed cows raised in Rio Grande do Sul, born from 1989 to 2011, were used. After determining the most appropriate nonlinear regression model, the identity of models and the equality of parameter tests for the different classes of season and age of calving were performed. Residual mean square, mean absolute deviation, mean squared prediction error and percentage of estimated curves per animal, indicated the Linear Hyperbolic Function (LHF) as the most appropriate to describe the milk production and the levels of fat and protein curves. Cows calving in the autumn and winter seasons yield higher quantities of milk and lower fat and protein content than those calved in the spring and summer seasons. Cows aged between 46 and 93 months at calving yield higher milk quantities, and those with calving age between 94 and 118 months produced more fat.
RESUMO: Objetivou-se identificar o modelo de regressão não linear que melhor descreve as curvas de produção de leite e de porcentagens de gordura e proteína; a estação e idade ao parto que resultam em maiores produções. Nas análises, foram utilizados 8047 registros de produção de leite e porcentagens de gordura e proteína provenientes de 1330 vacas da raça Holandesa, criadas no Rio Grande do Sul, nascidas de 1989 a 2011. Após a definição do modelo de regressão não linear mais adequado, procedeu-se à realização do teste de identidade de modelos e de igualdade de parâmetros para as diferentes classes de estação e idade da vaca ao parto. O quadrado médio do resíduo, desvio médio absoluto, erro quadrático médio de predição e a porcentagem de curvas estimadas por animal apontaram a Função Linear Hiperbólica (FLH) como a mais adequada para descrever as curvas de produção de leite e teores de gordura e proteína. Vacas com ocorrência de partos nas estações de outono e inverno produzem maior quantidade de leite e menor teor de gordura e proteína do leite do que aquelas que parem nas estações de primavera e verão. Vacas com idades ao parto entre 46 e 93 meses produzem maior quantidade de leite e as com 94 a 118 meses, maior teor de gordura do leite.
ABSTRACT
This study was conducted to examine if the revised HPM was appropriate to explain smoking quitting behavior. A convenience sample of 400 college students enrolled in the universities located in Seoul and Kyunggi-Inchon province was selected. According to the study results, smoking-specific cognitions and affect included in the study could significantly explain commitment to a plan to quit smoking which was one of the behavioral outcomes in the revised HPM. The study result showed that among predictors, smoking-related affect, perceived benefit of quitting smoking, and perceived self-efficacy significantly explained commitment to a plan to quit smoking, but perceived barriers and interpersonal influences did not. The model for smoking quitting behavior formulated with smoking-specific cognitions and affect was statistically significant and the model explained 48 percent of variance in smoking quitting behavior. More specifically, it was shown that among smoking-specific cognitions and affect, only smoking-related affect, interpersonal influences, and perceived self-efficacy were the significant predictors to explain smoking quitting behavior. Smoking-related affect was the most important variable to explain smoking quitting behavior, followed by perceived self-efficacy. However, the influence of commitment to a plan to quit smoking on smoking quitting behavior was not statistically significant. Lastly, the model for smoking quitting behavior formulated with individual characteristics and experiences could explain 13 percent of the variance in behavior to quit smoking. Although the model is statistically significant, only the number of quitting attempts had significant and direct influence on behavior to quit smoking, while the remaining variables did not.