302 research outputs found

    Combined Pulmonary Fibrosis and Emphysema in a welder

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    Combined pulmonary fibrosis and emphysema (CPFE) syndrome is an uncommon entity characterised by emphysema of the upper lobes and diffuse fibrosis of the lower lobes and carries a bad prognosis with the onset of pulmonary hypertension. Lung involvement due to exposures suffered by welders is generally considered benign though, rarely, a diffuse interstitial fibrotic disease has been reported. CPFE syndrome has however never been reported in welders. A 65-year-old man, welder by occupation and an ex-smoker, presented with progressive exertional dyspnoea associated with dry cough noticed for the last four months. On examination, there was mild tachypnea, clubbing and bilateral basal velcro crepitations on chest auscultation. Lung function test revealed mild mixed ventilatory impairment with severe diffusion defect. HRCT chest showed bilateral upper lobe emphysema and diffuse interstitial fibrosis in the lower lobes. Transbronchial lung biopsy revealed interstitial fibrosis, chronic inflammation and iron deposits. A diagnosis of combined pulmonary fibrosis with emphysema (CPFE) with interstitial pulmonary siderofibrosis (IPS) was established. A review of literature did not show any other report of a similar nature

    Optimization of Process Parameters for Threshold Voltage and Leakage Current based on Taguchi Method

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    In this study, the effect of process parameters on the threshold voltage (Vth) and leakage current (Ileak) were explored and the optimization of these parameters were carried out using the Taguchi method. The virtual device was initially constructed using ATHENA and ATLAS environment in Silvaco Technology Computer Aided Design (TCAD) tools. The simulation studies were directed under four varying process parameters, which are Vt adjust implantation dose, the halo tiling angle, the S/D implantation dose and the compensation implantation dose. The L9 Orthogonal Array (OA), the signalto-noise ratio (SNR), and the analysis of variance (ANOVA) were used to study the performance characteristics and to gain an optimum combination of parameter settings. It was revealed that the Vt adjust implantation dose was the most influential parameter on the Vth and Ileak. Furthermore, it also improves the device performance. The result of Vth complied with the projections made by the International Technology Roadmap for Semiconductors (ITRS)

    Process Parameters Optimization of 14 nm p-Type MOSFET using 2-D Analytical Modeling

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    Simulations of a computer-generated downscaled device at 14nm gate length of p-type MOSFET is conferred in this paper. The device is scaled down from a 32nm transistor which is from the former research. A combination of insulatorconductor that were used includes a high-k material and a metalgate where in this research, Hafnium Dioxide (HfO2) is used as high-k material and Tungsten Silicide (WSi2) is used as a metal gate. A 14nm p-type transistor was virtually fabricated usingATHENA module and characterized its performance evaluation using ATLAS module in Virtual Wafer Fabrication (VWF) of Silvaco TCAD Tools. The scaled down device is then optimized through process parameter variability using Taguchi Method. The objective is to find the best combination of fabrication parameter in order to achieve the targeted value of threshold voltage (VTH) and leakage current (IOFF) that are predicted by International Technology Roadmap for Semiconductors (ITRS) 2013. The results show that the ideal value for VTH and IOFF are 0.248635±12.7% V and 5.26x10-12A/um respectively and the results were achieved according to the ITRS specification

    Statistical Modelling of 14nm N-types MOSFET

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    This paper focuses on virtual modelling and optimization of 14nm n-types planar MOSFET. Here, high-k dielectric and metal gate were used where the high-k material is Hafnium Dioxide (HfO2) and the metal gate is Tungsten Silicide (WSi2). 36 simulations of Taguchi L9 Orthogonal Array method were applied in order to obtain the best parameter design for optimization of both performance parameters which are threshold voltage (VTH) and leakage current (IOFF). The simulation and fabrication for n-type transistor was conducted through Virtual Wafer Fabrication (VWF) Silvaco TCAD Tools named ATHENA and ATLAS for its electrical characterization. For analyzation of the impact parameters on VTH and IOFF, two noise parameters and four process parameters value were varied. From the simulations, the results show the best value were well within ITRS prediction where VTH and IOFF are 0.236737 V and 6.995705 nA/um respectivel

    Electrostatic and electrokinetic contributions to the elastic moduli of a driven membrane

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    We discuss the electrostatic contribution to the elastic moduli of a cell or artificial membrane placed in an electrolyte and driven by a DC electric field. The field drives ion currents across the membrane, through specific channels, pumps or natural pores. In steady state, charges accumulate in the Debye layers close to the membrane, modifying the membrane elastic moduli. We first study a model of a membrane of zero thickness, later generalizing this treatment to allow for a finite thickness and finite dielectric constant. Our results clarify and extend the results presented in [D. Lacoste, M. Cosentino Lagomarsino, and J. F. Joanny, Europhys. Lett., {\bf 77}, 18006 (2007)], by providing a physical explanation for a destabilizing term proportional to \kps^3 in the fluctuation spectrum, which we relate to a nonlinear (E2E^2) electro-kinetic effect called induced-charge electro-osmosis (ICEO). Recent studies of ICEO have focused on electrodes and polarizable particles, where an applied bulk field is perturbed by capacitive charging of the double layer and drives flow along the field axis toward surface protrusions; in contrast, we predict "reverse" ICEO flows around driven membranes, due to curvature-induced tangential fields within a non-equilibrium double layer, which hydrodynamically enhance protrusions. We also consider the effect of incorporating the dynamics of a spatially dependent concentration field for the ion channels.Comment: 22 pages, 10 figures. Under review for EPJ

    Interleukin 10 and Heart Fatty Acid-Binding Protein as Early Outcome Predictors in Patients With Traumatic Brain Injury

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    Background: Patients with traumatic brain injury (TBI) exhibit a variable and unpredictable outcome. The proteins interleukin 10 (IL-10) and heart fatty acid-binding protein (H-FABP) have shown predictive values for the presence of intracranial lesions. Aim: To evaluate the individual and combined outcome prediction ability of IL-10 and H-FABP, and to compare them to the more studied proteins S100β, glial fibrillary acidic protein (GFAP), and neurofilament light (NF-L), both with and without clinical predictors. Methods: Blood samples from patients with acute TBI (all severities) were collected &lt;24 h post trauma. The outcome was measured &gt;6 months post injury using the Glasgow Outcome Scale Extended (GOSE) score, dichotomizing patients into: (i) those with favorable (GOSE≥5)/unfavorable outcome (GOSE ≤ 4) and complete (GOSE = 8)/incomplete (GOSE ≤ 7) recovery, and (ii) patients with mild TBI (mTBI) and patients with TBIs of all severities. Results: When sensitivity was set at 95-100%, the proteins' individual specificities remained low. H-FABP showed the best specificity (%) and sensitivity (100%) in predicting complete recovery in patients with mTBI. IL-10 had the best specificity (50%) and sensitivity (96%) in identifying patients with favorable outcome in patients with TBIs of all severities. When individual proteins were combined with clinical parameters, a model including H-FABP, NF-L, and ISS yielded a specificity of 56% and a sensitivity of 96% in predicting complete recovery in patients with mTBI. In predicting favorable outcome, a model consisting IL-10, age, and TBI severity reached a specificity of 80% and a sensitivity of 96% in patients with TBIs of all severities. Conclusion: Combining novel TBI biomarkers H-FABP and IL-10 with GFAP, NF-L and S100β and clinical parameters improves outcome prediction models in TBI.</p

    Fraction of uninfected walkers in the one-dimensional Potts model

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    The dynamics of the one-dimensional q-state Potts model, in the zero temperature limit, can be formulated through the motion of random walkers which either annihilate (A + A -> 0) or coalesce (A + A -> A) with a q-dependent probability. We consider all of the walkers in this model to be mutually infectious. Whenever two walkers meet, they experience mutual contamination. Walkers which avoid an encounter with another random walker up to time t remain uninfected. The fraction of uninfected walkers is investigated numerically and found to decay algebraically, U(t) \sim t^{-\phi(q)}, with a nontrivial exponent \phi(q). Our study is extended to include the coupled diffusion-limited reaction A+A -> B, B+B -> A in one dimension with equal initial densities of A and B particles. We find that the density of walkers decays in this model as \rho(t) \sim t^{-1/2}. The fraction of sites unvisited by either an A or a B particle is found to obey a power law, P(t) \sim t^{-\theta} with \theta \simeq 1.33. We discuss these exponents within the context of the q-state Potts model and present numerical evidence that the fraction of walkers which remain uninfected decays as U(t) \sim t^{-\phi}, where \phi \simeq 1.13 when infection occurs between like particles only, and \phi \simeq 1.93 when we also include cross-species contamination.Comment: Expanded introduction with more discussion of related wor

    Trajectories of interleukin 10 and heart fatty acid-binding protein levels in traumatic brain injury patients with or without extracranial injuries

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    Background: Interleukin 10 (IL-10) and heart fatty acid-binding protein (H-FABP) have gained interest as diagnostic biomarkers of traumatic brain injury (TBI), but factors affecting their blood levels in patients with moderate-to-severe TBI are largely unknown. Objective: To investigate the trajectories of IL-10 and H-FABP between TBI patients with and without extracranial injuries (ECI); to investigate if there is a correlation between the levels of IL-10 and H-FABP with the levels of inflammation/infection markers C-reactive protein (CRP) and leukocytes; and to investigate if there is a correlation between the admission level of H-FABP with admission levels of cardiac injury markers, troponin (TnT), creatine kinase (CK), and creatine kinase MB isoenzyme mass (CK-MBm). Materials and methods: The admission levels of IL-10, H-FABP, CRP, and leukocytes were measured within 24 h post-TBI and on days 1, 2, 3, and 7 after TBI. The admission levels of TnT, CK, and CK-MBm were measured within 24 h post-TBI. Results: There was a significant difference in the concentration of H-FABP between TBI patients with and without ECI on day 0 (48.2 ± 20.5 and 12.4 ± 14.7 ng/ml, p = 0.02, respectively). There was no significant difference in the levels of IL-10 between these groups at any timepoints. There was a statistically significant positive correlation between IL-10 and CRP on days 2 (R = 0.43, p < 0.01) and 7 (R = 0.46, p = 0.03) after injury, and a negative correlation between H-FABP and CRP on day 0 (R = -0.45, p = 0.01). The levels of IL-10 or H-FABP did not correlate with leukocyte counts at any timepoint. The admission levels of H-FABP correlated with CK (R = 0.70, p < 0.001) and CK-MBm (R = 0.61, p < 0.001), but not with TnT. Conclusion: Inflammatory reactions during the early days after a TBI do not significantly confound the use of IL-10 and H-FABP as TBI biomarkers. Extracranial injuries and cardiac sources may influence the levels of H-FABP in patients with moderate-to-severe TBI.publishedVersionPeer reviewe
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