High pressure measurements and molecular modeling of the water content of acid gas containing mixtures

Water content of three carbon dioxide containing natural gas mixtures in equilibrium with an aqueous phase was measured using a dynamic saturation method. Measurements were performed up to high temperatures (477.6 K = 400°F) and pressures (103.4 MPa = 15,000 psia). The perturbed chain form of the statistical associating fluid theory was applied to predict water content of pure carbon dioxide (CO₂), hydrogen sulfide (H₂S), nitrous oxide (N₂O), nitrogen (N₂), and argon (Ar) systems. The theory application was also extended to model water content of acid gas mixtures containing methane (CH₄). To model accurately the liquid‐liquid equilibrium at subcritical conditions, cross association between CO₂, H₂S, and water was included. The agreement between the model predictions and experimental data measured in this work was found to be good up to high temperatures and pressures. © 2015 American Institute of Chemical Engineers AIChE J, 61: 3038–3052, 2015     

Automatic neural classification of ocean colour reflectance spectra at the top of the atmosphere with introduction of expert knowledge

We propose an automatic neural classification method for ocean colour (OC) reflectance measurements taken at the top of the atmosphere (TOA) by satellite-borne sensors. The goal is to identify aerosol types and cloud contaminated pixels. This information is of importance when selecting appropriate atmospheric correction algorithms for retrieving ocean parameters such as phytoplankton concentrations. The methodology is based on the use of Topological Neural network Algorithms (TNA, so-called Kohonen maps). The pixels of the remotely sensed image are characterised by a vector whose components are the spectral TOA measurement and the standard deviation of a small spatial structure. The method is a three-step method. The first step is an unsupervised classification built from a learning data set; it clusters pixel vectors which are similar into a certain number of groups. Each group is characterised by a specific vector, the so-called reference vector (rv), which summarises the information contained in all the pixels belonging to that group. The second step of the method consists of labeling the reference vectors with the help of an expert in ocean optics. The groups are then clustered into classes corresponding to physical characteristics provided by the expert. The third step consists of analyzing full images and classifying them by using the classifier which has been determined during the first two steps. The method was applied to the Cape Verde region, which exhibits important seasonal variability in terms of aerosols, cloud coverage and ocean chlorophyll-a concentration. We processed POLDER data to test the algorithm. We considered four classes: pixels contaminated by clouds; two types of pixels containing mineral dusts; and pixels containing maritime aerosols only. The method was able to take into account the information given by the expert and apply it to unlabeled pixels. This methodology could easily be extended to a larger number of classes, the major problem being to find adequate expertise to label the classes.     

Human Body Communication In-Vivo Measurement Using Different Test Equipment

Human body communication is non-radio frequency technique of wireless body area network, wherein the human body is used as a communication medium in two coupling methods namely: capacitive and galvanic coupling. HBC is relatively new method and in full development, given the large number of scientific publishing works depending on different setup and equipment. Even that it remains controversial with no consensus in terms of propagation characteristics and behavior mechanism. This paper deals with the common used test equipment and configuration attempting to provide a complementary information about HBC channel characterization issue. For that, in vivo measurements were carried out using several assembling of equipment in different scenarios, considering the conventional inspected parameters (channel length, transverse distance and balun insertion scenarios). The measurements were conducted in both frequency and time domain using primarily spectrum/vector network analyzer and digital oscilloscope respectively. Thus, in addition to transmission losses between transceivers across the channel (calculated path loss factor), phase angle information are considered over the operating frequency band to assert the non-dispersive HBC channel nature. Further harmonic distortion effect is shown, then high transmission power for the signal of interest is attributed to HBC methods according to the calculated total harmonic distortion THD metric, even harmonics resulting from the channel non-linearity characteristics or transceivers signal/apparatus imperfections. The experimental setups highlights the important to consider the precise criteria for measurement purpose, thus leading using the most appropriate test apparatus.

     

Development of Live-Load Distribution Factors for Glued-Laminated Timber Girder Bridges

This paper presents simple relationships for calculating live-load distribution factors for glued-laminated timber girder bridges with glued-laminated timber deck panels. Analytical models were developed using the Ansys 113 finite-element program, and the results were validated using recorded data from four in-service timber bridges. The effects of the bridge span length, the spacing between girders, and the bridge width on the distribution of the live load were investigated by using the validated models. The live-load distribution factors obtained from the field test and the analytical models were compared with those obtained using the AASHTO LRFD Bridge Design Specifications2 live-load distribution relations. The comparison showed that the live-load distribution factors obtained by using the AASHTO LRFD Bridge Design Specifications2 were conservative. For this reason, statistical methods were used to develop accurate relationships that can be used to calculate the live-load distribution factors in the design of glued-laminated girder bridges.     

Short Palm Tree Fibers Polyolefin Composites: Effect of Filler Content and Coupling Agent on Physical Properties

Short date palm tree lignocellulosic fibers have been used as a reinforcing phase in commodity thermoplastic matrices [poly(propylene) and low density polyethylene]. Compatibilization of the fibers was carried out with the use of maleic anhydride copolymers. The morphology, thermal and mechanical properties of the resulting composites were characterized using SEM, DSC and tensile tests. The reinforcing capability of the unmodified fibers was found to depend on the nature of the matrix and the main parameter governing the composite behavior was the degree of crystallinity of the matrix. Compatibilization was reported to enhance the mechanical performances for both sets of composites up to a critical amount of compatibilizer beyond which the degree of crystallinity of the matrix decreases.

     

In-vitro anticancer and antimicrobial activities of PLGA/silver nanofiber composites prepared by electrospinning

In the present work, a series of 0, 1 and 7 wt% silver nano-particles (Ag NPs) incorporated poly lactic-co-glycolic acid (PLGA) nano-fibers were synthesized by the electrospinning process. The PLGA/Ag nano-fibers sheets were characterized using SEM, TEM and DSC analyses. The three synthesized PLGA/silver nano-fiber composites were screened for anticancer activity against liver cancer cell line using MTT and LDH assays. The anticancer activity of PLGA nano-fibers showed a remarkable improvement due to increasing the concentration of the Ag NPs. In addition to the given result, PLGA nano-fibers did not show any cytotoxic effect. However, PLGA nano-fibers that contain 1 % nano silver showed anticancer activity of 8.8 %, through increasing the concentration of the nano silver to 7 % onto PLGA nano-fibers, the anticancer activity was enhanced to a 67.6 %. Furthermore, the antibacterial activities of these three nano-fibers, against the five bacteria strains namely; E.coli o157:H7 ATCC 51659, Staphylococcus aureus ATCC 13565, Bacillus cereus EMCC 1080, Listeria monocytogenes EMCC 1875 and Salmonella typhimurium ATCC25566 using the disc diffusion method, were evaluated. Sample with an enhanced inhibitory effect was PLGA/Ag NPs (7 %) which inhibited all strains (inhibition zone diameter 10 mm); PLGA/Ag NPs (1 %) sample inhibited only one strain (B. cereus) with zone diameter 8 mm. The PLGA nano-fiber sample has not shown any antimicrobial activity. Based on the anticancer as well as the antimicrobial results in this study, it can be postulated that: PLGA nanofibers containing 7 % nano silver are suitable as anticancer- and antibiotic-drug delivery systems, as they will increase the anticancer as well as the antibiotic drug potency without cytotoxicity effect on the normal cells. These findings also suggest that Ag NPs, of the size (5–10 nm) evaluated in the present study, are appropriate for therapeutic application from a safety standpoint.