Comparison of Stochastic Methods for the Variability Assessment of Technology Parameters

This paper provides and compares two alternative solutions for the simulation of cables and interconnects with the inclusion of the effects of parameter uncertainties, namely the Polynomial Chaos (PC) method and the Response Surface Modeling (RSM). The problem formulation applies to the telegraphers equations with stochastic coefficients. According to PC, the solution requires an expansion of the unknown parameters in terms of orthogonal polynomials of random variables. On the contrary, RSM is based on a least-square polynomial fitting of the system response. The proposed methods offer accuracy and improved efficiency in computing the parameter variability effects on system responses with respect to the conventional Monte Carlo approach. These approaches are validated by means of the application to the stochastic analysis of a commercial multiconductor flat cable. This analysis allows us to highlight the respective advantages and disadvantages of the presented method

Clarifying European terminology in plastics recycling

The increasing activities in plastics recycling have led to a sprawl of terminology describing different technologies and technology categorizations. This creates not only linguistic confusion but also makes it difficult for regulators, investors, corporate leaders and other stakeholders to fully understand the relationship between different technologies, potentially leading to suboptimal decisions on policy, investment, or collaboration. To bring clarity to this topic, this manuscript provides an overview of (i) the different circular pathways for plastics, with a focus on recycling, (ii) the most common categorization of recycling technologies, (iii) what is considered ‘recycling’ by the European Commission and (iv) some alternative terms used in grey and academic literature to describe recycling technologies

Development of PP/Recycled-PET Blended Low Speed Wheels to Reduce the Virgin Plastic Usage in the Industry

The increase of plastic usage in different applications has a huge impact on the environment due waste generation. This study was focused not only to find a way to reduce the virgin plastic usage but also to convert a commodity plastic waste into a commercial engineering product. Post consumed polyethylene terephthalate (PET) water bottles were used as a source of recycled PET (r-PET) and blended with commercial grade polypropylene (PP) to produce the center part of low speed wheels. Thermomechanical properties of PP/r-PET blends were investigated along with the effect of compatibilization. The quality of prepared wheels was examined with dynamic drum test and impact test. The addition of recycled PET into polypropylene enhanced the properties of blends and it also supported to maintain the fatigue life of the wheel

Sustainable Use of Biomass Boiler Ash as a Reinforcement Filler for Polyamide 6 Composite

The use of biomass combustion ash as a reinforcing filler has taken the attention in recent years to reduce the overall production cost and increase the mechanical properties of plastics. This study evaluates the effect of biomass boilers ash (BBA) as a reinforcing filler on polyamide 6 composites (PA6). The chemical composition and thermal stability of BBA were analyzed by X-ray fluorescence (XRF), Thermogravimetric analysis (TGA), and Differential thermal analysis (DTA) thermographs. Test samples were prepared by varying the ash content (2.5%, 5%, 7.5%, and 10%), and also samples were prepared without adding ash as a control. Moreover, surface modification was carried out by using N-2 (Aminoethyl) 3-aminopropyl triethoxy diamino-silane as a possible coupling agent for BBA  and it was tested by varying the coupling agent concentration (0.5%, 1%, and 2%) by dry process and the samples were prepared by extrusion and injection molding processes. Comparative analysis of the degree of crystallinity, mechanical properties including tensile, flexural, and thermal properties were tested. The highest degree of crystallinity was obtained with 7.5% BBA-filled composites. The addition of 2% surface-modified BBA (SBBA) filled composites (PA6 / 10% Ash 2% CA) showed an increase of tensile strength and elongation at break than the 10% unmodified BBA (UBBA) (PA6/ 10% Ash) filled composites. Stress at peak and bending modulus values in the flexural test data were increased up to 10%. But it was significantly reduced with the increasing of modifying agent concentration due to the increment of stiffness of the composite

TEHRAN AIR POLLUTION MODELING USING LONG-SHORT TERM MEMORY ALGORITHM: AN UNCERTAINTY ANALYSIS

Air pollution is a major environmental issue in urban areas, and accurate forecasting of particles 10 μm or smaller (PM10) level is essential for smart public health policies and environmental management in Tehran, Iran. In this study, we evaluated the performance and uncertainty of long short-term memory (LSTM) model, along with two spatial interpolation methods including ordinary kriging (OK) and inverse distance weighting (IDW) for mapping the forecasted daily air pollution in Tehran. We used root mean square error (RMSE) and mean square error (MSE) to evaluate the prediction power of the LSTM model. In addition, prediction intervals (PIs), and Mean and standard deviation (STD) were employed to assess the uncertainty of the process. For this research, the air pollution data in 19 Tehran air pollution monitoring stations and temperature, humidity, wind speed and direction as influential factors were taken into account. The results showed that the OK had better RMSE and STD in the test (32.48 ± 9.8 μg/m3) and predicted data (56.6 ± 13.3 μg/m3) compared with those of the IDW in the test (47.7 ± 22.43 μg/m3) and predicted set (62.18 ± 26.1 μg/m3). However, in PIs, IDW ([0, 0.7] μg/m3) compared with the OK ([0, 0.5] μg/m3) had better performance. The LSTM model achieved in the predicted values an RMSE of 8.6 μg/m3 and a standard deviation of 9.8 μg/m3 and PIs between [2.7 ± 4.8, 14.9 ± 15] μg/m3

Identification of differential expressed transcripts of almond (Prunus dulcis ‘Sefied’) in response to water-deficit stress by cDNA-AFLP

Drought is the major abiotic stress with adverse effects on growth and productivity of plants. It induces the expression of various genes that are involved in stress response and tolerant/sensitive phenotypes. In this study, the expression of several genes were analyzed in response to dehydration in almond (Prunus dulcis 'Sefied') to shed light on the underlying genetic basis of water-deficit tolerance in almond. The advantages of using almond as a model system for studying dehydration tolerance in woody species are its small diploid genome and its adaptation to drought. Differential expression technique, cDNA-AFLP (amplified fragment length polymorphism), was used to find transcripts accumulated in young trees subjected to water-deficit treatment. Twenty transcript-derived fragments (TDFs) with differential expression between control and stress conditions were generated, amplified, and sequenced. The TDFs showing high homology with genes having known functions were validated by quantitative real-time PCR and their possible function(s) were discussed. These genes include: 2-deoxyglucose-6-phosphate phosphatase, protein kinase MK5 (AFC2) and urease, which up-regulated by 1.61, 2.39 and 4.87 fold under the water-deficit stress condition, respectively. In addition, network analysis unraveled a drought response mechanism displaying activation of the ABA signaling pathway via phosphorylation by 2-deoxyglucose-6-phosphate phosphatase and protein kinase MK5. Protein kinase MK5 was found to be a central element in the drought response network, displaying numerous interactions with RNA-splicing proteins, the sugar-mediated signaling pathway and an epigenetics response (histone phosphorylation).Maryam Shirani Bidabadi, Behrouz Shiran, Hossein Fallahi, Fariba Rafiei, Fazileh Esmaeili & Esmaeil Ebrahimi

Effects of low-intensity continuous ultrasound on hematological parameters of rats

Background: Low intensity ultrasound (US) has some well-known bio-effects which are of great importance to be considered. Objective: We conducted the present study to investigate the effects of low intensity continuous ultrasound on blood cells count in rat. Methods: Rats were anesthetized and blood samples were collected before US exposure. Then, they were exposed to US with nominal intensity of 0.2 W/cm2 at frequency of 3 MHz for a period of 10 minutes and this protocol was repeated for 7 days. Twenty four hours after the last US exposure, secondary blood samples were collected and the changes in blood parameters were evaluated. Results: Analysis revealed that platelets, hematocrit (HCT) and hemoglobin (HGB) were significantly different between experimental and sham groups but no difference between sham and control groups was observed. The results show that HCT and HGB of exposed rats were significantly reduced. Conclusion: This study shows that low intensity US may lead to side effects for hematological parameters such as reduction in the levels of HGB and HCT. © 2016 Shiraz University of Medical Sciences. All rights reserved

Design and Validation of Synchronous QCT Calibration Phantom: Practical Methodology

Introduction: Quantitative computed tomography (QCT) can supplement dual x-ray absorptiometry by enabling geometric and compartmental bone assessments. Whole-body spiral CT scanners are widely available and require a short scanning time of seconds, in contrast to peripheral QCT scanners, which require several minutes of scanning time. This study designed and evaluated the accuracy and precision of a homemade QCT calibration phantom using a whole-body spiral CT scanner. Materials and Methods: The QCT calibration phantom consisted of K 2 HPO 4 solutions as reference. The reference material with various concentrations of 0, 50, 100, 200, 400, 1000, and 1200 mg/cc of K 2 HPO 4 in water were used. For designing the phantom, we used the ABAQUS software. Results: The phantoms were used for performance assessment of QCT method through measurement of accuracy and precision errors, which were generally less than 5.1 for different concentrations. The correlation between CT numbers and concentration were close to one (R 2 = 0.99). Discussion: Because whole-body spiral CT scanners allow central bone densitometry, evaluating the accuracy and precision for the easy to use calibration phantom may improve the QCT bone densitometry test. Conclusion: This study provides practical directions for applying a homemade calibration phantom for bone mineral density quantification in QCT technique. © 201

An Amoeboid Olivine Aggregate in LEW 85300

Amoeboid Olivine aggregates (AOAs) are irregularly shaped objects commonly observed in carbonaceous chondrites. Because they are composed of fine-grained olivine and Ca-Al-rich minerals, they are sensitive indicators for nebular process and parent body alteration of their parent bodies. Recently an AOA was found in a carbonaceous clast in polymict eucrite LEW 85300. The bulk major element composition of the clast matrix in LEW 85300 suggests a relation to CM, CO and CV chondrites, whereas bulk clast trace and major element compositions do not match any carbonaceous chondrite, suggesting they have a unique origin. Here we characterize the mineralogy of AOA in LEW 85300 and discuss the origin of the carbonaceous clasts. Results and Discussion: The AOA is located in an impact melt vein. Half of the aggregate shows recrystallization textures (euhedral pyroxene and molten metal/FeS) due to impact melting, but the remaining part preserves the original texture. The AOA is composed of olivine, FeS and Mg,Al-phyllosilicate. Individual olivine grains measure 1-8 microns, with Fe-rich rims, probably due to impact heating. Olivines in the AOA are highly forsteritic (Fo95-99), indicating that the AOA escaped thermal metamorphism [4]. Although no LIME (Low-Fe, Mn-Enriched) olivine is observed, forsterite composition and the coexistence of Mg,Al-phyllosilicate suggest that the AOA is similar to those in the Bali-type oxidized CV (CVoxB) and CR chondrites. However, it should be noted that fayalitic olivine, which commonly occurs in CVoxB AOA, is not observed in this AOA. Also, the smaller grain size (<8 microns) of olivine suggests they may be related to CM or CO chondrites. Therefore, we cannot exclude the possibility that the AOA originated from a unique carbonaceous chondrite