Influence of magnetically-induced E-fields on cardiac electric activity during MRI: A modeling study

In modern magnetic resonance imaging (MRI), patients are exposed to strong, time-varying gradient magnetic fields that may be able to induce electric fields (E-fields)/currents in tissues approaching the level of physiological significance. In this work we present theoretical investigations into induced E-fields in the thorax, and evaluate their potential influence on cardiac electric activity under the assumption that the sites of maximum E-field correspond to the myocardial stimulation threshold (an abnormal circumstance). Whole-body cylindrical and planar gradient coils were included in the model. The calculations of the induced fields are based on an efficient, quasi-static, finite-difference scheme and an anatomically realistic, whole-body model. The potential for cardiac stimulation was evaluated using an electrical model of the heart. Twelve-lead electrocardiogram (ECG) signals were simulated and inspected for arrhythmias caused by the applied fields for both healthy and diseased hearts. The simulations show that the shape of the thorax and the conductive paths significantly influence induced E-fields. In healthy patients, these fields are not sufficient to elicit serious arrhythmias with the use of contemporary gradient sets. However, raising the strength and number of repeated switching episodes of gradients, as is certainly possible in local chest gradient sets, could expose patients to increased risk. For patients with cardiac disease, the risk factors are elevated. By the use of this model, the sensitivity of cardiac pathologies, such as abnormal conductive pathways, to the induced fields generated by an MRI sequence can be investigated. (C) 2003 Wiley-Liss, Inc.

Water table waves in an unconfined aquifer: Experiments and modeling

[1] Comprehensive measurements are presented of the piezometric head in an unconfined aquifer during steady, simple harmonic oscillations driven by a hydrostatic clear water reservoir through a vertical interface. The results are analyzed and used to test existing hydrostatic and nonhydrostatic, small-amplitude theories along with capillary fringe effects. As expected, the amplitude of the water table wave decays exponentially. However, the decay rates and phase lags indicate the influence of both vertical flow and capillary effects. The capillary effects are reconciled with observations of water table oscillations in a sand column with the same sand. The effects of vertical flows and the corresponding nonhydrostatic pressure are reasonably well described by small-amplitude theory for water table waves in finite depth aquifers. That includes the oscillation amplitudes being greater at the bottom than at the top and the phase lead of the bottom compared with the top. The main problems with respect to interpreting the measurements through existing theory relate to the complicated boundary condition at the interface between the driving head reservoir and the aquifer. That is, the small-amplitude, finite depth expansion solution, which matches a hydrostatic boundary condition between the bottom and the mean driving head level, is unrealistic with respect to the pressure variation above this level. Hence it cannot describe the finer details of the multiple mode behavior close to the driving head boundary. The mean water table height initially increases with distance from the forcing boundary but then decreases again, and its asymptotic value is considerably smaller than that previously predicted for finite depth aquifers without capillary effects. Just as the mean water table over-height is smaller than predicted by capillarity-free shallow aquifer models, so is the amplitude of the second harmonic. In fact, there is no indication of extra second harmonics ( in addition to that contained in the driving head) being generated at the interface or in the interior.

Surface stickiness of drops of carbohydrate and organic acid solutions during convective drying: Experiments and modeling

Drying kinetics of low molecular weight sugars such as fructose, glucose, sucrose and organic acid such as citric acid and high molecular weight carbohydrate such as maltodextrin (DE 6) were determined experimentally using single drop drying experiments as well as predicted numerically by solving the mass and heat transfer equations. The predicted moisture and temperature histories agreed with the experimental ones within 6% average relative (absolute) error and average difference of +/- 1degreesC, respectively. The stickiness histories of these drops were determined experimentally and predicted numerically based on the glass transition temperature (T-g) of surface layer. The model predicted the experimental observations with good accuracy. A nonsticky regime for these materials during spray drying is proposed by simulating a drop, initially 120 mum in diameter, in a spray drying environment.

Rates of electronic energy transfer in conformationally flexible bichromophoric macrocyclic complexes: a combined experimental and molecular modeling study

Electronic energy transfer (EET) rate constants between a naphthalene donor and anthracene acceptor in [ZnL4a](ClO4)(2) and [ZnL4b](ClO4)(2) were determined by time-resolved fluorescence where L-4a and L-4b are the trans and cis isomers of 6-((anthracen-9-yl-methyl)amino)-6,13-dimethyl-13-((naphthalen-1-yl-methyl)amino)-1,4,8,11-tetraazacyclotetradecane, respectively. These isomers differ in the relative disposition of the appended chromophores with respect to the macrocyclic plane. The trans isomer has an energy transfer rate constant (k(EET)) of 8.7 x 10(8) s(-1), whereas that of the cis isomer is significantly faster (2.3 x 10(9) s(-1)). Molecular modeling was used to determine the likely distribution of conformations in CH3CN solution for these complexes in an attempt to identify any distance or orientation dependency that may account for the differing rate constants observed. The calculated conformational distributions together with analysis by H-1 NMR for the [ZnL4a](2+) trans complex in the common trans-III N-based isomer gave a calculated Forster rate constant close to that observed experimentally. For the [ZnL4b](2+) cis complex, the experimentally determined rate constant may be attributed to a combination of trans-Ill and trans-I N-based isomeric forms of the complex in solution.

Análise espacial do padrão de introdução e disseminação da dengue nos municípios do Espírito Santo

O número de municípios infestados pelo Aedes aegypti no Estado do Espírito Santo vem aumentando gradativamente, levando a altas taxas de incidência de dengue ao longo dos anos. Apesar das tentativas de combate à doença, esta se tornou uma das maiores preocupações na saúde pública do Estado. Este estudo se propõe a descrever a dinâmica da expansão da doença no Estado a partir da associação entre variáveis ambientais e populacionais, utilizando dados operacionalizados por meio de técnicas de geoprocessamento. O estudo utilizou como fonte de dados a infestação pelo mosquito vetor e o coeficiente de incidência da doença, as distâncias rodoviárias intermunicipais do Estado, a altitude dos municípios e as variáveis geoclimáticas (temperatura e suficiência de água), incorporadas a uma ferramenta operacional, as Unidades Naturais do Espírito Santo (UNES), representadas em um único mapa operacionalizado em Sistema de Informação Geográfica (SIG), obtido a partir do Sistema Integrado de Bases Georreferenciadas do Estado do Espírito Santo. Para análise dos dados, foi realizada a Regressão de Poisson para os dados de incidência de dengue e Regressão Logística para os de infestação pelo vetor. Em seguida, os dados de infestação pelo mosquito e incidência de dengue foram georreferenciados, utilizando como ferramenta operacional o SIG ArcGIS versão 9.2. Observou-se que a pluviosidade é um fator que contribui para o surgimento de mosquito em áreas não infestadas. Altas temperaturas contribuem para um alto coeficiente de incidência de dengue nos municípios capixabas. A variável distância em relação a municípios populosos é um fator de proteção para a incidência da doença. A grande variabilidade encontrada nos dados, que não é explicada pelas variáveis utilizadas no modelo para incidência da doença, reforça a premissa de que a dengue é condicionada pela interação dinâmica entre muitas variáveis que o estudo não abordou. A espacialização dos dados de infestação pelo mosquito e incidência de dengue e as Zonas Naturais do ES permitiu a visualização da influência das variáveis estatisticamente significantes nos modelos utilizados no padrão da introdução e disseminação da doença no Estado.

Influência de polimorfismos nos genes FcγRIIa, CD209, VDR, TNF-α, IL-4, IL-6 e INF-γ na persistência de sintomas clínicos da dengue na fase de covalescença

Diferenças na susceptibilidade do hospedeiro à infecção, na gravidade e na permanência do quadro clínico da doença podem ser atribuídas, em parte, às variações da resposta imune. Estas variações são associadas a polimorfismos de nucleotídeo único (do inglês: single nucleotide polymorphisms - SNPs). Como estudo prévio, foi realizada a caracterização da população geral do Espírito Santo (ES) - Brasil e de uma subpopulação do estado, de origem Pomerana, quanto aos SNPs -131 H/R, -336 A/G, TaqI, -308 A/G, -590 C/T, -174 G/C e +874 A/T nos genes FcγRIIa, CD209, VDR, TNFα, IL-4, IL-6 e INF-γ, respectivamente. Cem indivíduos da Grande Vitória representaram a população geral do ES e 59 indivíduos de Santa Maria de Jetibá representaram a população de origem Pomerana. Como a fase aguda da dengue é bem caracterizada, este estudo objetivou ampliar o conhecimento da fase de convalescença. Noventa e seis indivíduos diagnosticados com dengue sintomática no final de 2012 e início de 2013, no ES, foram acompanhados por 60 dias a partir do início dos sintomas por meio do preenchimento de um questionário clínico e epidemiológico em quatro entrevistas. A persistência de 37 sintomas clínicos da dengue foi avaliada. Para analisar a influência da genética do sistema imunológico do hospedeiro na persistência de sintomas clínicos da dengue na fase de convalescença, foi determinada a associação entre os sete SNPs, para os quais a população do ES foi caracterizada, e a persistência de sintomas. O DNA genômico dos participantes do estudo foi extraído do sangue periférico e a genotipagem dos SNPs foi realizada por reação em cadeia da polimerase - polimorfismo de comprimento de fragmento de restrição (do inglês: polymerase chain reaction - restriction fragment length polymorphism - PCR-RFLP) As frequências genotípicas de todos os SNPs encontraram-se em equilíbrio de Hardy-Weinberg (do inglês: Hardy-Weinberg equilibrium - HWE), com exceção do SNP no gene IL-6. Não houve diferença estatisticamente significante nas frequências genotípicas dos SNPs nos genes FcγRIIa, CD209, VDR, TNF-α e IL-4 entre as duas populações. Diferença estatisticamente significante foi encontrada entre as duas populações nas distribuições genotípicas dos SNPs nos genes IL-6 (p = 0,03) e INF-γ (p = 0,007). Trinta e sessenta dias após o início dos sintomas, 38,5% e 11,5% dos indivíduos com dengue sintomática reportaram ter pelo menos um sintoma clínico da dengue, respectivamente. Dos sintomas analisados, os mais persistentes foram os relacionados à síndrome da fadiga como mialgia, artralgia, astenia e mal-estar, sendo a mialgia o mais frequente. A persistência de sintomas em 30 dias foi associada ao gênero feminino (p = 0,044) e a persistência de sintomas constitucionais foi associada à dengue secundária (p = 0,041). O SNP no gene FcγRIIa, foi associado à persistência de sintomas em 30 dias, no subgrupo de indivíduos com dengue secundária (p = 0,046), sendo a presença do alelo H associada à não persistência de sintomas (p = 0,014). A presença do alelo A do SNP no gene TNF-α foi associada à não persistência de sintomas no subgrupo de indivíduos com dengue secundária (p = 0,025), sendo o genótipo GG associado à persistência de sintomas neurológicos, psicológicos e comportamentais em 30 dias (p = 0,038). A presença do alelo C do SNP no gene IL-6 foi associado à persistência de sintomas dermatológicos em 30 dias (p = 0,005). O perfil genético desses SNPs pode favorecer o estabelecimento de marcadores imunogenéticos associados à fase convalescente da infecção pelo vírus da dengue (do inglês: dengue virus - DENV).

Modeling Carbon Nanotube Electrical Properties in CNT/Polymer Composites

In this work it is demonstrated that the capacitance between two cylinders increases with the rotation angle and it has a fundamental influence on the composite dielectric constant. The dielectric constant is lower for nematic materials than for isotropic ones and this can be attributed to the effect of the filler alignment in the capacitance. The effect of aspect ratio in the conductivity is also studied in this work. Finally, based on previous work and by comparing to results from the literature it is found that the electrical conductivity in this type of composites is due to hopping between nearest fillers resulting in a weak disorder regime that is similar to the single junction expression.

Multi-scale modeling of the mechanical behavior of polymer-based materials

Polymers have become the reference material for high reliability and performance applications. In this work, a multi-scale approach is proposed to investigate the mechanical properties of polymeric based material under strain. To achieve a better understanding of phenomena occurring at the smaller scales, a coupling of a Finite Element Method (FEM) and Molecular Dynamics (MD) modeling in an iterative procedure was employed, enabling the prediction of the macroscopic constitutive response. As the mechanical response can be related to the local microstructure, which in turn depends on the nano-scale structure, the previous described multi-scale method computes the stress-strain relationship at every analysis point of the macro-structure by detailed modeling of the underlying micro- and meso-scale deformation phenomena. The proposed multi-scale approach can enable prediction of properties at the macroscale while taking into consideration phenomena that occur at the mesoscale, thus offering an increased potential accuracy compared to traditional methods.

Assessment of 3D scanners for modeling Pectus Carinatum corrective bar

Pectus Carinatum (PC) is a chest deformity consisting on the anterior protrusion of the sternum and adjacent costal cartilages. Non-operative corrections, such as the orthotic compression brace, require previous information of the patient chest surface, to improve the overall brace fit. This paper focuses on the validation of the Kinect scanner for the modelling of an orthotic compression brace for the correction of Pectus Carinatum. To this extent, a phantom chest wall surface was acquired using two scanner systems – Kinect and Polhemus FastSCAN – and compared through CT. The results show a RMS error of 3.25mm between the CT data and the surface mesh from the Kinect sensor and 1.5mm from the FastSCAN sensor

Automatic modeling of an orthotic bracing for nonoperative correction of PectusCarinatum

Pectus Carinatum is a deformity of the chest wall, characterized by an anterior protrusion of the sternum, often corrected surgically due to cosmetic motivation. This work presents an alternative approach to the current open surgery option, proposing a novel technique based on a personalized orthosis. Two different processes for the orthosis’ personalization are presented. One based on a 3D laser scan of the patient chest, followed by the reconstruction of the thoracic wall mesh using a radial basis function, and a second one, based on a computer tomography scan followed by a neighbouring cells algorithm. The axial position where the orthosis is to be located is automatically calculated using a Ray-Triangle intersection method, whose outcome is input to a pseudo Kochenek interpolating spline method to define the orthosis curvature. Results show that no significant differences exist between the patient chest physiognomy and the curvature angle and size of the orthosis, allowing a better cosmetic outcome and less initial discomfort

Automatic modeling of pectus excavatum corrective prosthesis using artificial neural networks

Pectus excavatum is the most common deformity of the thorax. Pre-operative diagnosis usually includes Computed Tomography (CT) to successfully employ a thoracic prosthesis for anterior chest wall remodeling. Aiming at the elimination of radiation exposure, this paper presents a novel methodology for the replacement of CT by a 3D laser scanner (radiation-free) for prosthesis modeling. The complete elimination of CT is based on an accurate determination of ribs position and prosthesis placement region through skin surface points. The developed solution resorts to a normalized and combined outcome of an artificial neural network (ANN) set. Each ANN model was trained with data vectors from 165 male patients and using soft tissue thicknesses (STT) comprising information from the skin and rib cage (automatically determined by image processing algorithms). Tests revealed that ribs position for prosthesis placement and modeling can be estimated with an average error of 5.0 ± 3.6 mm. One also showed that the ANN performance can be improved by introducing a manually determined initial STT value in the ANN normalization procedure (average error of 2.82 ± 0.76 mm). Such error range is well below current prosthesis manual modeling (approximately 11 mm), which can provide a valuable and radiation-free procedure for prosthesis personalization.

Automatic modeling of pectus excavatum corrective prosthesis using artificial neural networks

Pectus excavatum is the most common deformity of the thorax. Pre-operative diagnosis usually includes Computed Tomography (CT) to successfully employ a thoracic prosthesis for anterior chest wall remodeling. Aiming at the elimination of radiation exposure, this paper presents a novel methodology for the replacement of CT by a 3D laser scanner (radiation-free) for prosthesis modeling. The complete elimination of CT is based on an accurate determination of ribs position and prosthesis placement region through skin surface points. The developed solution resorts to a normalized and combined outcome of an artificial neural network (ANN) set. Each ANN model was trained with data vectors from 165 male patients and using soft tissue thicknesses (STT) comprising information from the skin and rib cage (automatically determined by image processing algorithms). Tests revealed that ribs position for prosthesis placement and modeling can be estimated with an average error of 5.0 ± 3.6 mm. One also showed that the ANN performance can be improved by introducing a manually determined initial STT value in the ANN normalization procedure (average error of 2.82 ± 0.76 mm). Such error range is well below current prosthesis manual modeling (approximately 11 mm), which can provide a valuable and radiation-free procedure for prosthesis personalization.

Assessment of 3D scanners for modeling pectus carinatum corrective bar

Pectus Carinatum (PC) is a chest deformity consisting on the anterior protrusion of the sternum and adjacent costal cartilages. Non-operative corrections, such as the orthotic compression brace, require previous information of the patient chest surface, to improve the overall brace fit. This paper focuses on the validation of the Kinect scanner for the modelling of an orthotic compression brace for the correction of Pectus Carinatum. To this extent, a phantom chest wall surface was acquired using two scanner systems – Kinect and Polhemus FastSCAN – and compared through CT. The results show a RMS error of 3.25mm between the CT data and the surface mesh from the Kinect sensor and 1.5mm from the FastSCAN sensor.

Automatic modeling of an orthotic bracing for nonoperative correction of pectus carinatum

Pectus Carinatum is a deformity of the chest wall, characterized by an anterior protrusion of the sternum, often corrected surgically due to cosmetic motivation. This work presents an alternative approach to the current open surgery option, proposing a novel technique based on a personalized orthosis. Two different processes for the orthosis’ personalization are presented. One based on a 3D laser scan of the patient chest, followed by the reconstruction of the thoracic wall mesh using a radial basis function, and a second one, based on a computer tomography scan followed by a neighbouring cells algorithm. The axial position where the orthosis is to be located is automatically calculated using a Ray-Triangle intersection method, whose outcome is input to a pseudo Kochenek interpolating spline method to define the orthosis curvature. Results show that no significant differences exist between the patient chest physiognomy and the curvature angle and size of the orthosis, allowing a better cosmetic outcome and less initial discomfort.