64 resultados para S TCH
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Smith-Magenis syndrome (SMS;OMIM# 182290) is a multiple congenital anomalies and mental retardation syndrome caused by a 3.7- Mb deletion on chromosome 17p11.2 or a mutation in the RAI1 gene. Although the majority of the SMS phenotype has been well described, limited studies are available describing growth patterns in SMS. There is some evidence that individuals with SMS develop obesity. Thus, this study aims to characterize the growth and potential influence of hyperphagia in a cohort of individuals with SMS. A retrospective chart review was conducted of 78 individuals with SMS through Baylor College of Medicine (BCM) at Texas Children¡¯s Hospital (TCH.) All documented height and weight measurements were abstracted and Z-scores (SD units) for height-for-age, length-for-age and BMI-for-age were calculated. Mail-out questionnaires were provided to the corresponding parents of the cohort to assess for the presence of hyperphagia through a validated hyperphagia questionnaire (HQ). Analysis of this data demonstrates that by the age ¡Ý 20 years males with SMS have mean BMI¡¯s in the 85th-90th percentile corresponding to an overweight BMI, and females with SMS had mean BMI¡¯s in the 95th -97th percentile corresponding to an obese BMI. Parents indicated that hyperphagia is present in individuals with SMS as 76% of parent¡¯s report having to lock food away from their child. Females¡¯ age ¡Ý 20 years of age had the highest mean behavior, drive and severity scores as well as the highest BMI. Thus, this study concludes that it appears overweight and obesity, as well as hyperphagia, are present in this cohort of SMS individuals. The results of this study will hopefully enable parents and caregivers of children with SMS to take preventative measures in order to control food related behaviors present in their children as well as to prevent overweight and obesity and the associated negative health consequences.
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This study is a retrospective longitudinal study at Texas Children's Hospital, a 350-bed tertiary level pediatric teaching hospital in Houston, Texas, for the period 1990 to 2006. It measured the incidence and trends of positive pre-employment drug tests among new job applicants At TCH. ^ Over the study period, 16,219 job applicants underwent pre-employment drug screening at TCH. Of these, 330 applicants (2%) tested positive on both the EMIT and GC/MS. After review by the medical review officer, the number of true drug test positive applicants decreased to 126 (0.78%). ^ According to the overall annual positive drug test incidence rates, the highest overall incidence was in 2002 (14.71 per 1000 tests) and the lowest in 2004 (3.17 per 1000 tests). Despite a marked increase in 2002, over the 15-year study period the overall incidence tended to decrease. Incidence rates and trends of other illegal drugs are further discussed in the study. And in general, these incidence rates also decline in the study period. In addition to that, we found the overall, positive drug tests were more common in females than in males (55.5% versus 44.4%). ^
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Background. Healthcare providers in pediatrics are faced with parents making medical decisions for their children. Refusal to consent to interventions can have life threatening sequelae, yet healthcare workers are provided little training in handling refusals. The healthcare provider's experience in parental refusal has not been well described, yet is an important first step in addressing this problem. ^ Specific aims. Describe: (1) the decision-making processes made by healthcare providers when parents refuse medical interventions for their children, (2) the source of healthcare workers' skills in handling situations of refusal, and (3) the perspectives of healthcare workers on parental refusals in the inpatient setting. ^ Methods. Nurses, physicians and respiratory therapists (RT) were recruited via e-mail at Texas Children's Hospital (TCH). Interview questions were developed using Social Cognitive Theory constructs and validated. One-on-one in-depth, one hour semi-structured interviews were held at TCH, audio recorded and transcribed. Coding and analysis were done using ATLAS ti. The constant comparative method was applied to describe emergent themes that were reviewed by an independent expert. ^ Results. Interviews have been conducted with nurses (n=6), physicians and practitioners (n=6), social workers (n=3) and RT (n=3) comprising 13 females and 5 males with 3–25 years of experience. Decision-making processes relate to the experience of the caregiver, familiarity with the family, and the acuity of the patient. Healthcare workers' skills were obtained through orientation processes or by trial-and-error. Themes emerged that related to the importance of: (1) Communication, where the initial discussion about a medical procedure should be done with clarity and an understanding of the parents' views; (2) Perceived loss of control by parents, a key factor in their refusal of interventions; and (3) Training, the need for skill development to handle refusals. ^ Conclusions. Effective training involving clarity in communication and a preservation of perceived control by parents is needed to avoid the current trial-and-error experience of healthcare workers in negotiating refusal situations. Such training could lessen the more serious outcomes of parental refusal. ^
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Background. Colorectal polyps are abnormal growths in the wall of the colon including the rectum. The study aims to estimate the prevalence and type of colonic polyps in children undergoing colonoscopic examination at Texas Children's Hospital (TCH) in Houston, Texas during 2000-2007. Also, to examine the factors associated with colonic polyps and the potential determinants of colonic polyps in children undergoing colonoscopy and compare those who had colonic polyps with those who did not on colonoscopy, and determine the significant risk factors of colonic polyps in these children. ^ Methods. We conducted a cross sectional study to analyze data collected at TCH. We obtained demographic, clinical, and histopathology information on consecutive patients who underwent colonoscopy during 2000-2007 from endoscopic records contained in the PEDS-CORI registry (Pediatric Endoscopy Database System-Clinical Outcomes Research Initiative), and abstracted data from the accompanying histopathology reports. ^ Results. We identified 2,693-unique patients, under 18 years of age, who underwent colonoscopy. Approximately 65.5% were white non-Hispanic, and 10.8% African-American. The mean age was 8.7 years and 51.8% were female patients. Polyps were present in 174 patients (6.5%). The most common two histological types were juvenile (60.6%), inflammatory (17.4%). We found that the prevalence of polyps was higher in younger aged children (12.9% in 0-5 years) than in older aged children (4% in 15-17 years), and slightly higher in males than in females (7.9% and 5.4% respectively). For males only, the odds of polyps were statistically significantly higher in Blacks and Hispanics compared to white non Hispanics (OR of 2.2 and 2.1, respectively, and 95% CI of 1.3, 3.9 and 1.3, 3.5 respectively). The indications for colonoscopy were different for children with polyps compared to those without polyps, i.e., 47.0% vs. 19.8% respectively for lower GI bleeding, 2.7% vs. 21.4% respectively for abdominal pain/bloating, and, or 0.9% vs. 9.6% respectively for diarrhea. ^ Conclusion. Colorectal polyps occur in about 1 in 15 children and adolescents undergoing first colonoscopy. The demographic variable of younger age is strongly associated with having polyps irrespective of ethnicity. Lower GI bleeding is strongly related to the presence of colorectal polyps in children and adolescents undergoing colonoscopy.^
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Undiagnosed infected mothers often are the source of pertussis illness in young infants. The Centers for Disease Control and Prevention (CDC) recommends Tdap vaccine for post-partum women before hospital discharge. This intervention has been implemented at Ben Taub General Hospital (BTGH) in Houston, TX since January 2008. Our objective was to compare the proportion of infants born at BTGH and developing pertussis to the total number of pertussis cases before and after the intervention. Methods. We conducted a cross-sectional comparative study between the pre-intervention (7/2000 to 12/2007) and post-intervention (1/2008 to 5/2009) periods. Information on pertussis diagnosis was determined using ICD-9 codes, infection control records, and molecular microbiology reports from Texas Children's Hospital (TCH) and BTGH. Only patients ≤ 6 months of age with laboratory-confirmed B. pertussis infection were included in the study. Results. 481 infants had pertussis illness; 353 (73.3%) during pre-intervention and 128 (26.6%) during post-intervention years. The groups were comparable in all measures including age (median 73 vs. 62.5 days; p=0.08), gender (males 54.2%; p=0.47), length of hospitalization (median 9.8 vs. 4 9.5 days; p=0.5), outcomes (2 deaths in each period; p=0.28) and pertussis illness at TCH (95.2% vs. 95.3%; p=0.9). The proportion of pertussis patients born at BTGH, and thus amenable to protection by the intervention, was not statically different between the two periods after adjusting for age, gender and ethnicity (7.3% vs. 9.3%; an OR=1.05, 95% CI 0.5-2.1, p=0.88). Conclusions. Vaccinating only mothers with Tdap in the post-partum period does not reduce the proportion of pertussis in infants age ≤ 6 months. Efforts should be directed at Tdap immunization of not only mothers, but also all household and key contacts of newborns to protect them against pertussis illness before the primary DTaP series is completed.^
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Children with cystic fibrosis are at increased risk of seasonal influenza associated complications, which makes them a judicious target of interventions designed to increase influenza vaccination rates. The Baylor College of Medicine/Texas Children's Hospital Pediatric Cystic Fibrosis (BCM/TCH CF) Care Center implemented an enhanced multi-component initiative designed to increase influenza vaccination rates in its patient population during the 2011-2012 influenza season. We evaluated the impact of specific components of this intervention on vaccination rates among the clinic's patient population via a historical medical chart review and examined the relationship between vaccination status and the number of pulmonary exacerbations requiring hospital admission during the influenza season. The multi-component intervention was comprised of providing influenza free of charge in the CF Care Center, reminders via phone call and letters, and drive through influenza vaccine clinics on nights and weekends. The intervention to increase influenza vaccination rates led to overall improved vaccination rates among the patients at the BCM/TCH CF Care Center, increasing from 90% adherence observed during the 2010-2011 season to 94% adherence during the 2011-2012 season. The availability of free influenza vaccine in the CF Care Center, combined with reminders about being vaccinated early in the season proved to be the most effective practices for improving the vaccination rate in the CF Care Center.^
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BACKGROUND: Weight has been implicated as a risk factor for symptomatic community-acquired methicillin resistant Staphylococcus Aureus (CA-MRSA). Information from Texas Children's Hospital (TCH) in Houston, TX was used to implement a case-control study to assess weight-for-age percentile (WFA), race and seasonal exposure as risk factors. ^ METHODS: A retrospective chart review to collect data from TCH was conducted covering the time period January 1st, 2008 to May 31st, 2011. Cases were confirmed and identified by the infectious disease department and were matched on a 1:1 ratio to controls that were seen by the emergency department for non-infected fractures from June 1st, 2008 to May 31st, 2011. Data abstraction was performed using TCH's electronic medical records (EMR) system (EPIC ®). ^ RESULTS: Of 702 CA-MRSA identified cases, ages 9 to 16.99, 564 (80.3%) had the variable `weight' present in their EMR, were not duplicates and not determined to be outliers. Cases were randomly matched to a pool of available controls (n=1864) according to age and gender, yielding 539 1:1 matched pairs (95.5% case matching success) with a total study sample size, N=1078. Case median age was 13.38 years with the majority being White (66.05%) and male (59.4%). Adjusted conditional logistic regression analysis of the matched pairs identified the following risk factors to presenting with CA-MRSA infection among pediatric patients, ages 9 to 16.99 years: a) Individual weight in the highest (75th-99.9th) WFA quartile (OR=1.36; 95% confidence interval [CI]=1.06-1.74; P= 0.016), b) Infection during summer months (OR: 1.69; 95% CI=1.2-2.38; P= 0.003), c) patients of African American race/ethnicity (OR= 1.48; 95% CI=1.13-1.95; P= 0.004). ^ CONCLUSIONS: Pediatric patients, 9 to 16.99 years of age, in the highest WFA quartile (75th-99.9th), or of African-American race had an associated increased risk of presenting with CA-MRSA infection. Furthermore, children in this population were at a higher risk of contracting CA-MRSA infection during the summer season.^
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Disponer de información precisa y actualizada de inventario forestal es una pieza clave para mejorar la gestión forestal sostenible y para proponer y evaluar políticas de conservación de bosques que permitan la reducción de emisiones de carbono debidas a la deforestación y degradación forestal (REDD). En este sentido, la tecnología LiDAR ha demostrado ser una herramienta perfecta para caracterizar y estimar de forma continua y en áreas extensas la estructura del bosque y las principales variables de inventario forestal. Variables como la biomasa, el número de pies, el volumen de madera, la altura dominante, el diámetro o la altura media son estimadas con una calidad comparable a los inventarios tradicionales de campo. La presente tesis se centra en analizar la aplicación de los denominados métodos de masa de inventario forestal con datos LIDAR bajo diferentes condiciones y características de masa forestal (bosque templados puros y mixtos) y utilizando diferentes bases de datos LiDAR (información proveniente de vuelo nacionales e información capturada de forma específica). Como consecuencia de lo anterior, se profundiza en la generación de inventarios forestales continuos con LiDAR en grandes áreas. Los métodos de masa se basan en la búsqueda de relaciones estadísticas entre variables predictoras derivadas de la nube de puntos LiDAR y las variables de inventario forestal medidas en campo con el objeto de generar una cartografía continua de inventario forestal. El rápido desarrollo de esta tecnología en los últimos años ha llevado a muchos países a implantar programas nacionales de captura de información LiDAR aerotransportada. Estos vuelos nacionales no están pensados ni diseñados para fines forestales por lo que es necesaria la evaluación de la validez de esta información LiDAR para la descripción de la estructura del bosque y la medición de variables forestales. Esta información podría suponer una drástica reducción de costes en la generación de información continua de alta resolución de inventario forestal. En el capítulo 2 se evalúa la estimación de variables forestales a partir de la información LiDAR capturada en el marco del Plan Nacional de Ortofotografía Aérea (PNOA-LiDAR) en España. Para ello se compara un vuelo específico diseñado para inventario forestal con la información de la misma zona capturada dentro del PNOA-LiDAR. El caso de estudio muestra cómo el ángulo de escaneo, la pendiente y orientación del terreno afectan de forma estadísticamente significativa, aunque con pequeñas diferencias, a la estimación de biomasa y variables de estructura forestal derivadas del LiDAR. La cobertura de copas resultó más afectada por estos factores que los percentiles de alturas. Considerando toda la zona de estudio, la estimación de la biomasa con ambas bases de datos no presentó diferencias estadísticamente significativas. Las simulaciones realizadas muestran que las diferencias medias en la estimación de biomasa entre un vuelo específico y el vuelo nacional podrán superar el 4% en áreas abruptas, con ángulos de escaneo altos y cuando la pendiente de la ladera no esté orientada hacia la línea de escaneo. En el capítulo 3 se desarrolla un estudio en masas mixtas y puras de pino silvestre y haya, con un enfoque multi-fuente empleando toda la información disponible (vuelos LiDAR nacionales de baja densidad de puntos, imágenes satelitales Landsat y parcelas permanentes del inventario forestal nacional español). Se concluye que este enfoque multi-fuente es adecuado para realizar inventarios forestales continuos de alta resolución en grandes superficies. Los errores obtenidos en la fase de ajuste y de validación de los modelos de área basimétrica y volumen son similares a los registrados por otros autores (usando un vuelo específico y parcelas de campo específicas). Se observan errores mayores en la variable número de pies que los encontrados en la literatura, que pueden ser explicados por la influencia de la metodología de parcelas de radio variable en esta variable. En los capítulos 4 y 5 se evalúan los métodos de masa para estimar biomasa y densidad de carbono en bosques tropicales. Para ello se trabaja con datos del Parque Nacional Volcán Poás (Costa Rica) en dos situaciones diferentes: i) se dispone de una cobertura completa LiDAR del área de estudio (capitulo 4) y ii) la cobertura LiDAR completa no es técnica o económicamente posible y se combina una cobertura incompleta de LiDAR con imágenes Landsat e información auxiliar para la estimación de biomasa y carbono (capitulo 5). En el capítulo 4 se valida un modelo LiDAR general de estimación de biomasa aérea en bosques tropicales y se compara con los resultados obtenidos con un modelo ajustado de forma específica para el área de estudio. Ambos modelos están basados en la variable altura media de copas (TCH por sus siglas en inglés) derivada del modelo digital LiDAR de altura de la vegetación. Los resultados en el área de estudio muestran que el modelo general es una alternativa fiable al ajuste de modelos específicos y que la biomasa aérea puede ser estimada en una nueva zona midiendo en campo únicamente la variable área basimétrica (BA). Para mejorar la aplicación de esta metodología es necesario definir en futuros trabajos procedimientos adecuados de medición de la variable área basimétrica en campo (localización, tamaño y forma de las parcelas de campo). La relación entre la altura media de copas del LiDAR y el área basimétrica (Coeficiente de Stock) obtenida en el área de estudio varía localmente. Por tanto es necesario contar con más información de campo para caracterizar la variabilidad del Coeficiente de Stock entre zonas de vida y si estrategias como la estratificación pueden reducir los errores en la estimación de biomasa y carbono en bosques tropicales. En el capítulo 5 se concluye que la combinación de una muestra sistemática de información LiDAR con una cobertura completa de imagen satelital de moderada resolución (e información auxiliar) es una alternativa efectiva para la realización de inventarios continuos en bosques tropicales. Esta metodología permite estimar altura de la vegetación, biomasa y carbono en grandes zonas donde la captura de una cobertura completa de LiDAR y la realización de un gran volumen de trabajo de campo es económica o/y técnicamente inviable. Las alternativas examinadas para la predicción de biomasa a partir de imágenes Landsat muestran una ligera disminución del coeficiente de determinación y un pequeño aumento del RMSE cuando la cobertura de LiDAR es reducida de forma considerable. Los resultados indican que la altura de la vegetación, la biomasa y la densidad de carbono pueden ser estimadas en bosques tropicales de forma adecuada usando coberturas de LIDAR bajas (entre el 5% y el 20% del área de estudio). ABSTRACT The availability of accurate and updated forest data is essential for improving sustainable forest management, promoting forest conservation policies and reducing carbon emissions from deforestation and forest degradation (REDD). In this sense, LiDAR technology proves to be a clear-cut tool for characterizing forest structure in large areas and assessing main forest-stand variables. Forest variables such as biomass, stem volume, basal area, mean diameter, mean height, dominant height, and stem number can be thus predicted with better or comparable quality than with costly traditional field inventories. In this thesis, it is analysed the potential of LiDAR technology for the estimation of plot-level forest variables under a range of conditions (conifer & broadleaf temperate forests and tropical forests) and different LiDAR capture characteristics (nationwide LiDAR information vs. specific forest LiDAR data). This study evaluates the application of LiDAR-based plot-level methods in large areas. These methods are based on statistical relationships between predictor variables (derived from airborne data) and field-measured variables to generate wall to wall forest inventories. The fast development of this technology in recent years has led to an increasing availability of national LiDAR datasets, usually developed for multiple purposes throughout an expanding number of countries and regions. The evaluation of the validity of nationwide LiDAR databases (not designed specifically for forest purposes) is needed and presents a great opportunity for substantially reducing the costs of forest inventories. In chapter 2, the suitability of Spanish nationwide LiDAR flight (PNOA) to estimate forest variables is analyzed and compared to a specifically forest designed LiDAR flight. This study case shows that scan angle, terrain slope and aspect significantly affect the assessment of most of the LiDAR-derived forest variables and biomass estimation. Especially, the estimation of canopy cover is more affected than height percentiles. Considering the entire study area, biomass estimations from both databases do not show significant differences. Simulations show that differences in biomass could be larger (more than 4%) only in particular situations, such as steep areas when the slopes are non-oriented towards the scan lines and the scan angles are larger than 15º. In chapter 3, a multi-source approach is developed, integrating available databases such as nationwide LiDAR flights, Landsat imagery and permanent field plots from SNFI, with good resultos in the generation of wall to wall forest inventories. Volume and basal area errors are similar to those obtained by other authors (using specific LiDAR flights and field plots) for the same species. Errors in the estimation of stem number are larger than literature values as a consequence of the great influence that variable-radius plots, as used in SNFI, have on this variable. In chapters 4 and 5 wall to wall plot-level methodologies to estimate aboveground biomass and carbon density in tropical forest are evaluated. The study area is located in the Poas Volcano National Park (Costa Rica) and two different situations are analyzed: i) available complete LiDAR coverage (chapter 4) and ii) a complete LiDAR coverage is not available and wall to wall estimation is carried out combining LiDAR, Landsat and ancillary data (chapter 5). In chapter 4, a general aboveground biomass plot-level LiDAR model for tropical forest (Asner & Mascaro, 2014) is validated and a specific model for the study area is fitted. Both LiDAR plot-level models are based on the top-of-canopy height (TCH) variable that is derived from the LiDAR digital canopy model. Results show that the pantropical plot-level LiDAR methodology is a reliable alternative to the development of specific models for tropical forests and thus, aboveground biomass in a new study area could be estimated by only measuring basal area (BA). Applying this methodology, the definition of precise BA field measurement procedures (e.g. location, size and shape of the field plots) is decisive to achieve reliable results in future studies. The relation between BA and TCH (Stocking Coefficient) obtained in our study area in Costa Rica varied locally. Therefore, more field work is needed for assessing Stocking Coefficient variations between different life zones and the influence of the stratification of the study areas in tropical forests on the reduction of uncertainty. In chapter 5, the combination of systematic LiDAR information sampling and full coverage Landsat imagery (and ancillary data) prove to be an effective alternative for forest inventories in tropical areas. This methodology allows estimating wall to wall vegetation height, biomass and carbon density in large areas where full LiDAR coverage and traditional field work are technically and/or economically unfeasible. Carbon density prediction using Landsat imaginery shows a slight decrease in the determination coefficient and an increase in RMSE when harshly decreasing LiDAR coverage area. Results indicate that feasible estimates of vegetation height, biomass and carbon density can be accomplished using low LiDAR coverage areas (between 5% and 20% of the total area) in tropical locations.
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Vivemos um período de transformações políticas, econômicas, sociais e culturais que, a todo instante, nos impõe desafios. Neste contexto, nas últimas décadas, o uso da tecnologia tem sido ampliado na realização de diversas atividades cotidianas, na divulgação de informações, na comunicação, como forma de expressão e organização da sociedade. A escola, enquanto instituição social, precisa reconhecer esta nova realidade, esta diferente possibilidade de aquisição e transformação de saber, para que possa intervir, ressignificar e redirecionar sua ação, a fim de atender as demandas de seu tempo. O objetivo geral desta pesquisa, a partir da apresentação e análise de experiências realizadas com o uso de Tecnologias da Informação e Conhecimento, é o de refletir sobre como inserir estas ferramentas no processo de ensinar e aprender na escola a partir da visão de professores e alunos, visando a formação integral do educando. Deste modo, no desenvolvimento, entendemos como necessário conhecer e considerar o contexto histórico, bem como as perspectivas relacionadas a escola e seus protagonistas (professores e estudantes) na chamada Sociedade da Informação e do Conhecimento. Ressaltamos a importância do docente (sua formação) e seu papel de mediador nos processos de aprendizagem, assim como a recepção à tecnologia, observando função e espaço de atuação desta. Destacamos experiências com a utilização de TDIC, realizada por professores e alunos, como a produção de game, revistas científicas, escrita de histórias, produções artísticas, blogs, vlogs, discussões em grupos presentes em redes sociais. A metodologia utilizada nesta pesquisa é qualitativa, na modalidade de pesquisa-ação e narrativa, em função do envolvimento com o grupo e com as atividades desenvolvidas, nas quais os participantes compartilham com o pesquisador suas histórias pessoais e de aprendizagem relacionadas às ações ou às atividades que realiza, fornecendo informações e indícios relevantes sobre o seu processo de formação ao longo do tempo. A revisão de literatura foi realizada por meio de análise bibliográfica e documental em livros, teses, dissertações, periódicos específicos sobre o assunto, além de artigos publicados na Internet. A coleta de dados foi realizada a partir de conversas informais, entrevistas semiestruturadas e filmagem dos relatos. A análise foi realizada a partir da abordagem hermenêutico-fenomenológica, que busca descrever e interpretar fenômenos da experiência humana, a fim de investigar a essência por meio da identificação de temas. Os resultados apontam para a necessidade e possibilidade da ampliação da utilização de TDIC como recurso no processo de ensino e aprendizagem, por meio de formação, diálogo, interação, intencionalidade, expectativas, esperança e seus desdobramentos.
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Plants exposed to repetitive touch or wind are generally shorter and stockier than sheltered plants. These mechanostimulus-induced developmental changes are termed thigmomorphogenesis and may confer resistance to subsequent stresses. An early response of Arabidopsis thaliana to touch or wind is the up-regulation of TCH (touch) gene expression. The signal transduction pathway that leads to mechanostimulus responses is not well defined. A role for ethylene has been proposed based on the observation that mechanostimulation of plants leads to ethylene evolution and exogenous ethylene leads to thigmomorphogenetic-like changes. To determine whether ethylene has a role in plant responses to mechanostimulation, we assessed the ability of two ethylene-insensitive mutants, etr1–3 and ein2–1, to undergo thigmomorphogenesis and TCH gene up-regulation of expression. The ethylene-insensitive mutants responded to wind similarly to the wild type, with a delay in flowering, decrease in inflorescence elongation rate, shorter mature primary inflorescences, more rosette paraclades, and appropriate TCH gene expression changes. Also, wild-type and mutant Arabidopsis responded to vibrational stimulation, with an increase in hypocotyl elongation and up-regulation of TCH gene expression. We conclude that the ETR1 and EIN2 protein functions are not required for the developmental and molecular responses to mechanical stimulation.