Le gradient entre la pression pulmonaire artérielle diastolique et la pression pulmonaire d'occlusion est important dans l'évaluation des hypertensions pulmonaires post- capillaires

Les hypertensions pulmonaires post-capillaires sont définies par une pression artérielle moyenne (PAPm) ≥ 25mmHg et une pression pulmonaire d'occlusion (PAPO) > 15mmHg. Une augmentation de la PAP peut être soit passive, transmission rétrograde de l'augmentation de la pression du coeur gauche ( gradient transpulmonaire GTP ≤ 12mmHg), soit active, élévation hors de proportion de la PAP due à une augmentation du tonus vasculaire et un remodelage vasculaire (GTP > 12mmHg). Le gradient entre la pression artérielle diastolique (PAPd) et la PAPO, qui est normal (≤ 5mmHg) dans les HP post-capillaires, n'est actuellement plus utilisé dans le diagnostic et l'évaluation des HP dans la dernière classification de 2008 (Dana Point 2008). But : - analyse des données cliniques, échocardiographiques et hémodynamiques des HP post-capillaires des patients référés dans un centre de référence d'HP - évaluer le rôle du gradient PAPd-PAPO dans la prise en charge des HP Méthode : Nous avons analysé de manière rétrospective les données cliniques, hémodynamiques et échocardiographiques des patients qui ont été diagnostiqué pour une HP au moyen d'un cathétérisme cardiaque entre janvier 2009 et juin 2011 au centre de référence d'HP du Centre Hospitalier Universitaire Vaudois (CHUV). Résultats: - 40% des patients ont les critères pour une HP post-capillaire - 33% des patients ont une HP qui répond à la définition d'HP "hors de propotion" avec un GTP > 12mmHg - 74% des patients avec HP post-capillaire ont une cardiopathie gauche associée avec des signes échocardiographiques de dysfonction diastolique - Sur les 27 patients avec une HP du groupe 2, 44% ont plusieurs facteurs de risque (FR) pour une HP - 75% de ces patients avec une cardiopathie gauche ainsi qu'un autre FR pour une HP ont un gradient PAPd-PAPO > 5 mmHg versus 8% de ceux qui n'ont pas d'autre FR (p-value 0.0075) Conclusion : Les HP post-capillaires sont fréquentes chez les patients adressés au centre de référence d'HP pour une suspicion d'HP. Dans notre cohorte 85% des patients avec HP post-capillaire ont une HP hors de proportion dont 44% ont un FR non cardiaque susceptible d'être à l'origine de l'HP. Le gradient PAPd-PAPO semble être un meilleur facteur discriminant que le GTP pour la caractérisation et la classification des HP

The reservoir network: A new network topology for district heating and cooling

Thermal district networks are effective solutions to substitute fossil fuels with renewable energy sources for heating and cooling. Moreover, thermal networking of buildings allows energy efficiency to be further increased. The waste heat from cooling can be reused for heating in thermal district systems. Because of bidirectional energy flows between prosumers, thermal networks require new hydraulic concepts. In this work, we present a novel network topology for simultaneous heating and cooling: the reservoir network. The reservoir network is robust in operation due to hydraulic decoupling of transfer stations, integrates heat sources and heat sinks at various temperature levels and is flexible in terms of network expansion. We used Modelica simulations to compare the new single-pipe reservoir network to a basecase double-pipe network, taking yearly demand profiles of different building types for heating and cooling. The electric energy consumed by the heat pumps and circulations pumps differs between the reservoir and base case networks by less than 1%. However, if the reservoir network is operated with constant instead of variable mass flow rate, the total electrical consumption can increase by 48% compared to the base case. As with any other network topology, the design and control of such networks is crucial to achieving energy efficient operation. Investment costs for piping and trenching depend on the district layout and dimensioning of the network. If a ring layout is applied in a district, the reservoir network with its single-pipe configuration is more economical than other topologies. For a linear layout, the piping costs are slightly higher for the reservoir network than for the base case because of larger pipe diameters

Self‐consistent scattering matrix calculation of the distribution function in semiconductor devices

The scattering matrix approach is a new technique for solving the Boltzmann equation in devices. We report a self-consistent application of the technique to realistic silicon devices exhibiting strong nonlocal effects. Simulation of a hot-electron, n-i-n diode demonstrates that the new technique efficiently and accurately reproduces Monte Carlo results without the statistical noise, allowing much tighter convergence with Poisson’s equation

FISH1D 2.1 User’s Manual

FISH1D is a computer program that solves the one-dimensional Poisson equation for electrostatic Fields In Semiconductor Heterostructures. The program will print or plot the electrostatic potential, electric field, electron and hole densities, dopant density, ionized dopant density, and other quantities of interest versus position at an applied bias voltage (assuming zero current). A capacitance or sheet carrier concentration versus voltage analysis may also be performed. While FISH1D was originally written for the ternary AlxGa1_xAs, it has been modified to simulate CdxHg1_xTe, ZnSe, GexSi1_x, and Si as well, and the program can be readily modified to analyze other semiconductors through the addition of new material subroutines or using the most recent option, the MATDEF card. This card enables the user to enter new material definitions by layers in the input deck without having to recompile, an advantage of FISH1D 2.1 over FISH1D 2.0. The primary purpose of this document is explain how to use FISH1D; for a more thorough discussion of the numerical implementation of FISH1D, the user is directed to the references. A theoretical basis for FISH1D is provided in Appendix I of this manual. The development of FISH1D was supported by the Semiconductor Research Corporation, the National Science Foundation Materials Research Laboratory, and by the Eastman Kodak Company

A Spectral Flux Method for Solving the Boltzmann Equation

A spectral method for solving the Boltzmann equation by the scattering matrix approach is presented, The algorithm discussed can be used to simulate both bulk and device properties with arbitrary field profiles. Although the primary goal is to reduce the data storage problem of the scattering matrix approach, many of the concepts and mathematical properties developed may be useful for other traditional spectral methods as well

FISH1D 2.2 User’s Manual

FISH1D is a computer program that solves the one-dimensional Poisson equation for electrostatic Fields in Semiconductor Heterostructures. The program will print or plot the electrostatic potential, electric field, electron and hole densities, dopant density, ionized dopant density, and other quantities of interest versus position at an applied bias voltage (assuming zero current). A capacitance or sheet carrier concentration versus voltage analysis may also be performed. While FISH1D was originally written for the ternary Alx Ga1 _xAs, it has been modified to simulate CdxHg1^xTe, ZnSe, GexSi1^ , and Si as well, and the program can be readily modified to analyze other semiconductors through the addition of new material subroutines or using the most recent option, the MATDEF card. This card enables the user to enter new material definitions by layers in the input deck without having to recompile, an advantage of FISHlD 2.1 over FISH1D 2.0. Simulations of bipolar transistors under bias are now possible in FISH1D 2.2, which has an upgraded BIAS card. The primary purpose of this document is explain how to use FISH1D; for a more thorough discussion of the numerical implementation of FISH1D, the user is directed to the references. A theoretical basis for FISH1D is provided in Appendix I of this manual

Lung Particulate Burdens of Subjects from the Cincinnati, Ohio Urban Area

Because of the relatively small data base existing for lung particulate burdens of subjects with no overt pneumoconioses, the total exogenous lung particulate concentrations of 91 subjects from the Cincinnati, Ohio urban area were determined using an automated scanning electron microscope-energy dispersive x-ray analysis-image analysis system. Four of these subjects were foundry workers and had the highest exogenous particle concentrations seen in the 91 lungs, ranging from 1860 to 2990 x 106 particles per gram of dry lung (ppg). The average exogenous particle concentration for the remaining 87 subjects was 476 ± 380 x 106 ppg with a range of 71 to 1860 x 106 ppg. The median size of the exogenous particles in the 87 lungs was narrow, ranging from 0.37 to 1.02 µm. The geometric mean particle size over all 87 lungs was 0.60 µm with a geometric standard deviation (σg) of 2.35. The total exogenous particle levels were elevated for the male subjects compared to females (p=0.015), and were positively associated with age (p=0. 021). However, no correlation was seen between total particle concentration and race or smoking history

An Automated Machine-Learning Approach for Road Pothole Detection Using Smartphone Sensor Data.

Road surface monitoring and maintenance are essential for driving comfort, transport safety and preserving infrastructure integrity. Traditional road condition monitoring is regularly conducted by specially designed instrumented vehicles, which requires time and money and is only able to cover a limited proportion of the road network. In light of the ubiquitous use of smartphones, this paper proposes an automatic pothole detection system utilizing the built-in vibration sensors and global positioning system receivers in smartphones. We collected road condition data in a city using dedicated vehicles and smartphones with a purpose-built mobile application designed for this study. A series of processing methods were applied to the collected data, and features from different frequency domains were extracted, along with various machine-learning classifiers. The results indicated that features from the time and frequency domains outperformed other features for identifying potholes. Among the classifiers tested, the Random Forest method exhibited the best classification performance for potholes, with a precision of 88.5% and recall of 75%. Finally, we validated the proposed method using datasets generated from different road types and examined its universality and robustness