Enhancing the Anhydrous Proton Conductivity of Boronic and Phosphonic Acid Functional Copolymers by Grafting With Flexible Spacers

Polymers comprised of phosphonic acid units are generally preferred for proton conducting membranes due to their high proton conductivity in humidified and anhydrous state. Polymers based on 4-vinylbenzene boronic acid and diisopropyl-p-vinylbenzyl phosphonate were synthesized and the phosphonate group was hydrolyzed. Boronic acid groups were grafted with polyethyleneglycol methyl ether (PEGME) to produce more flexible copolymers. The copolymerization and grafting reactions were verified by Fourier Transform infrared spectroscopy, thermogravimetric analysis and differential scanning calorimetry (DSC). The P content of the samples was analyzed with SEM–EDS. Thermograms indicate that the copolymers are thermally stable to 200 °C. In addition, grafting resulted in the inhibition of condensation of the acidic units. DSC results show that after grafting the copolymers have distinct melting temperatures corresponding to PEGME units, which are bound to the polymer. The ion exchange capacity and cyclic voltammetry of the copolymers results were measured. The proton conductivity of the copolymers was investigated in the anhydrous state. Although the copolymers have low proton conductivity (<10^?10 S/cm), they reached a value of 1.6 × 10^?6 S/cm after grafting with PEGME units. This demonstrated that the presence of flexible side units increased the proton conductivity at least five orders of magnitude. This idea can be used for designing the novel membranes for fuel cells.     

On the use of radiance domain for burn scar detection under varying atmospheric illumination conditions and viewing geometry

Assessment of damages due to fire, drought, flood, land slide, etc., using hyperspectral images from Hyperion, AVIRIS or HyspIRI has challenging issues. The effects of different illumination, atmospheric conditions and varying sensor/target viewing geometries are some of these challenges. A common approach for target detection is to apply atmospheric correction algorithms to the radiance image data cube and then search within the atmospherically corrected image cube for the target reflectance signature of interest. One major issue with the above approach is that it is computationally demanding. In this paper, instead of applying atmospheric correction to the raw radiance data, we generate radiance profiles of burn scar for the observed atmospheric and illumination conditions at the time of the hyperspectral image data collection and form a radiance profile library using a nonlinear analytical model for radiative transfer and MODTRAN. The target detection has been performed by a spectral similarity technique which takes into consideration multiple radiance profile variants of the target of interest. The effectiveness of the radiance domain-based target detection approach on reducing the computation time has been demonstrated on burn scar detection using airborne AVIRIS image data.     

A novel approach for spectral unmixing, classification, and concentration estimation of chemical and biological agents

In this paper, spectral unmixing methods, which are extensively used in hyperspectral imaging area, are proposed for classification and abundance fraction (concentration) estimation of chemical and biological agents that exist in the mixture form. Several government-furnished datasets, which were collected through the infrared spectrum method, were thoroughly analyzed. Two similarity measures-the spectral angle mapper and spectral information divergence-were investigated in order to provide a quantitative comparison basis with respect to the performance of the applied spectral unmixing methods in the existence of similar and distinct agents. The use of the similarity measures provided valuable information about the signature characteristics of the agents, which led to a better understanding about the capabilities of the investigated methods. The orthogonal subspace projection (OSP) method was investigated as the first unmixing, classification, and abundance estimation technique. It was observed that the OSP method provided good results when the number of agents in the database was small and was composed of distinct agents. However, when the number of agents was incremented by adding agents that share similar characteristics, the abundance estimation accuracy gradually degraded in addition to generating negative abundance fraction estimates. The second investigated unmixing method was called nonnegatively constrained least squares (NCLS). The results and analyses indicated that the NCLS method outperformed the OSP approach by providing considerably more accurate fraction estimates while at the same time not generating any negative fraction estimates; thus, the use of the NCLS method was found to be promising in detection and abundance fraction estimation of chemical and biological agents that exist in the form of mixtures. In addition, efficient implementation of NCLS has resulted in much lower computations than the conventional OSP implementation.     

nm23 Protein expression in larynx cancer and the relationship with metastasis

The nm23 gene, which encodes nucleoside diphosphate (NDP) kinase, is proposed as a metastatic suppressor gene and has been demonstrated to correlate inversely with metastatic potential in several tumours. To elucidate the role of nm23 in larynx carcinomas, we examined using immunohistochemistry the expression of the nm23 protein in matched sets of primary tumours and metastatic lymph nodes. nm23 Protein was expressed in all the carcinomas as well as in non-neoplastic larynx mucosa. Overexpression of nm23 protein was found in the majority of primary tumours compared with corresponding normal mucosa, while decreased expression was associated with poor differentiation and distant metastasis and/or recurrence. No significant difference in age, sex and stage was found between primary tumours with high and low nm23 protein expression. These results suggest that decreased nm23 protein expression may play a role in metastasis and/or recurrence in larynx cancer and therefore could be used as a prognostic factor.     

AMT catalepsy and hypokinesia: interaction with morphine and cocaine

The first successful analysis of iodine compounds in serum and urine by mass fragmentography using GC-MS combined system was performed. The equipment used was Shimadzu LKB 9000 GC-MS (MID-PM). The TMSi derivatives of the compounds were analyzed by GC-MS system equipped with a 3 ft X 3 mm column packed with 1% OV-1 and the temperature was programmed from 200 degrees to 320 degrees C at 10 degrees C/min. The mass specturm showed molecular ions at m/e 523, 649, 741, 867 and 993 which correspond to the TMSi derivatives of MIT, DIT, T2, T3 and T4 respectively. The base peak at m/e 218 was applied to establish the precise quantitative evaluation of T4 and related compounds by mass fragmentography. The following results were obtained: 1) The minimum detectable limits of the compounds injected into the column were ca. 10 pg for MIT, DIT, 20pg for T2, 50pg for T3, and 500 pg for T4 respectively. 2) The sensitivity was of the order of ng or pg which enables quantitation with 1 ml of human serum and urine sample. 3) West's method was very convenient for extracting the compounds from biological fluids, and procedure can be carried out easily in a short time. The recovery rates were ca. 16.0% for MIT, 26.6% for DIT, 61.5% for T2, 71.6% for T3, and 85.1% for T4 respectively. 4) The ability to simultaneously analyze various iodoaminoacids is sure to be effectively utilized in studies to elucidate the relative importance of these hormones and their metabolic changes in various physioloigcal and pathological states of human beings.     

A logistic regression model including DNA status and morphology of spermatozoa for prediction of fertilization in vitro

To determine predictive values of routine semen analysis, sperm morphology evaluation using strict criteria and DNA status for in-vitro fertilization (IVF), 66 consecutive couples undergoing IVF in a university hospital IVF programme were prospectively investigated. Semen samples from 66 men were evaluated by routine semen analysis, morphology evaluation using strict criteria and acridine orange staining for determination of DNA status. A new technique is described for acridine orange scoring which consisted of evaluation of two smears per case, with and without heat treatment. Resistance to heat-provoked denaturation was determined by the difference between two evaluations. A logistic regression model was built and receiver operating characteristic curves were constructed to determine the threshold values and to compare diagnostic properties. Morphology evaluation using strict criteria and concentration of progressively motile spermatozoa were found to be the principal parameters determining the sperm fertilizing capacity in vitro. The logistic regression model composed of morphology evaluation using strict criteria and acridine orange score had a powerful diagnostic capability for prediction of fertilization in vitro.     

Tuning pH sensitivities of zinc phthalocyanines in ionic liquid modified matrices

Phthalocyanine dyes are clinically important bright fluorophores with many desirable properties. Their absorption and emission maxima in near infrared region make them proper tool for optical probing of biologically relevant materials and optical-chemical-sensing purposes. In this work we have shown that pH sensitivities of the phthalocyanines can be manipulated as desired. This property makes the Pcs very proper photosensitizers for photodynamic therapy applications. In this work pH sensitivities of alpha (α) and beta (β) tetra-substituted zinc phthalocyanines (ZnPcs) were studied spectroscopically in ethyl cellulose and PVC matrices. In experiments designed to manipulate pH, lipophilic room temperature ionic liquids (RTILs) were added into the test environment. The RTIL-modified thin films provided higher relative fluorescence intensity changes upon exposure to proton with respect to the RTIL-free ones. By this way, acidity constants of the ZnPcs could be tuned to the desired region of interest. The ZnPcs, exhibited good reproducibility and reversibility upon protonation. The RTILs also enhanced short and long term stabilities of the Pc-dyes. There was no significant drift in their proton sensitivities even after 10 assays and after being stored in a buffer condition for over six months.     

A high-quality high-fidelity visualization of the September 11 attack on the World Trade Center

In this application paper, we describe the efforts of a multidisciplinary team towards producing a visualization of the September 11 Attack on the North Tower of New York's World Trade Center. The visualization was designed to meet two requirements. First, the visualization had to depict the impact with high fidelity, by closely following the laws of physics. Second, the visualization had to be eloquent to a nonexpert user. This was achieved by first designing and computing a finite-element analysis (FEA) simulation of the impact between the aircraft and the top 20 stories of the building, and then by visualizing the FEA results with a state-of-the-art commercial animation system. The visualization was enabled by an automatic translator that converts the simulation data into an animation system 3D scene. We built upon a previously developed translator. The translator was substantially extended to enable and control visualization of fire and of disintegrating elements, to better scale with the number of nodes and number of states, to handle beam elements with complex profiles, and to handle smoothed particle hydrodynamics liquid representation. The resulting translator is a powerful automatic and scalable tool for high-quality visualization of FEA results.