Morphology,Mineralogy and Mixing of Individual Atmospheric Particles Over Kanpur (IGP): Relevance of Homogeneous Equivalent Sphere Approximation in Radiative Models

Estimation of the direct radiative forcing (DRF) by atmospheric particles is uncertain to a large extent owing to uncertainties in their morphology (shape and size), mixing states, and chemical composition. A region-specific database of the aforementioned physico-chemical properties (at individual particle level) is necessary to improve numerically-estimated optical and radiative properties. Till date, there is no detailed observation of the above mentioned properties over Kanpur in the Indo-Gangetic Plain (IGP). To fill this gap, an experiment was carried out at Kanpur (IITK; 26.52°N, 80.23°E, 142 m msl), India from April to July, 2011. Particle types broadly classified as (a) Cu-rich particles mixed with carbon and sulphur (b) dust and clays mixed with carbonaceous species (c) Fe-rich particles mixed with carbon and sulfur and (d) calcite (CaCO₃) particles aged with nitrate, were observed. The frequency distributions of aspect ratio (AR; indicator of extent of particle non-sphericity) of total 708 particles from April to June reveal that particles with aspect ratio range >1.2 to ≤1.4 were abundant throughout the experiment except during June when it was found to shift to high AR range, >1.4 to ≤1.6 (followed with another peak of AR i.e. >2 to ≤2.4) due to dust storm conditions enhancing the occurrence of more non-spherical particles over the sampling site. The spherical particles (and close to spherical shape; AR range, 1.0 to ≤1.2) were found to be <20% throughout the experiment with a minimum (11.5%) during June. Consideration of Homogeneous Equivalent Sphere Approximation (HESA) in the optical/radiative model over the study region is found to be irrelevant during the campaign.     

Identification of residues in the class II-associated Ii peptide (CLIP) region of invariant chain that affect efficiency of MHC class II-mediated antigen presentation in an allele-dependent manner

Invariant chain (Ii) associates with class II MHC molecules and is crucial for Ag presentation by class II molecules. A general explanation for how invariant chain (Ii) associates with polymorphic MHC class II molecules has been suggested by the crystallographic structure of CLIP (class II-associated Ii peptide) complexed with an HLA class II molecule, HLA-DR3. We show here that methionine residues at positions 93 and 99 in Ii are important in MHC class II-mediated Ag presentation, but function in an allele-dependent manner. Introduction of a Met-->Ala mutation at position 99 in Ii (M99AIi) impaired presentation of peptides derived from exogenous proteins by I-Ad and I-Au class II molecules. Mutating Met-->Ala in Ii at position 93 (M93AIi) abrogated presentation by I-Au molecules, but not by I-Ad. Impaired Ag presentation was associated with conformationally altered expression of I-A molecules on the surface of cells expressing mutated Ii. Cell surface CLIP staining and immunoprecipitation studies showed that both I-Ad and I-Au molecules were associated with an increased abundance of Ii peptides, CLIP, in cells expressing mutated Ii. These results show that methionine 93 and methionine 99 play an important physiologic role in Ii association with class II molecules by regulating release of CLIP from class II in the endocytic compartments to allow binding of cognate peptides.     

Theory of Seepage into an Auger Hole in a Confined Aquifer

A steady-state theory is presented for predicting flow into an auger hole partially penetrating a homogeneous and anisotropic confined aquifer that is underlain by an impermeable layer. The developed equations can be directly applied (i.e., without resorting to a coordinate transformation) to translate the rate of rise of the water in a pumped auger hole into directional conductivities of soil. The study shows that the conductivity values calculated by neglecting the confining pressure of an artesian aquifer (i.e., by applying the existing unconfined auger-hole seepage theories to experimental auger data obtained from a confined aquifer) may lead to serious error; hence, the confining head of an aquifer must be considered while the conductivity values are computed. Further, the distance of the outer layer also plays an important role in determining the flow to an auger hole penetrating a confined aquifer, and this parameter must therefore be included in the theoretical analysis of the problem. The validity of the proposed theory is checked by comparing a few results obtained from the theory with corresponding results obtained from numerical and analytical works. The developed theory is an addition to already existing auger-hole seepage theories for water-table aquifers; together with the available theories, the proposed solution is expected to cover the most commonly encountered auger hole experimental flow situations in the field.     

PREDICTION OF EQUILIBRIUM PHASE COMPOSITIONS AND β-GLUCOSIDASE PARTITION COEFFICIENT IN AQUEOUS TWO-PHASE SYSTEMS

Artificial neural networks (ANN) and Flory-Huggins (F-H)-type models were implemented to simulate the binodal curve of an aqueous two-phase, system (ATPS) composed of poly(ethylene glycol), potassium phosphate, and water. The ANN model outperformed the F-H model in predicting the equilibrium compositions of the PEG-rich phase (average percent deviation: 10.0 versus 56.6). However, the estimation of interaction parameters was feasible only in the thermodynamic framework. Beta-glucosidase was introduced into the system under various temperature (25°-50°C) and pH conditions (6.5-8.0). The β-glucosidase partition coefficient increased with the temperature and pH over a range of 0.11-1.18. The network was better suited to predict the partitioning behavior of the enzyme because of the increased number of interaction parameters. The artificial intelligence-guided approach for isolating the enzyme has the potential to reduce costs, improve performance, and identify the most favorable purification conditions.     

Thermal stability of self-assembled octadecyltrichlorosilane monolayers on planar and curved silica surfaces

Understanding the structural and functional integrity of self-assembled monolayers (SAMs) of alkytrichlorosilane on Si/SiO₂ interface with change in temperature is critical for realizing their utility as antistiction coatings during the fabrication and functioning of microelectromechanical systems. Here we describe the thermal stability of two dimensional (2D) octadecyltrichlorosilane (OTS) monolayers on both n-type Si substrate (planar surface) and silica spheres (curved surface) using results of various surface sensitive spectroscopic techniques like the grazing angle Fourier transform infrared spectroscopy and X-ray photoelectron spectroscopy. Densely packed OTS monolayer on n-type Si surface is found to be thermally stable up to 525 K, while a significant enhancement in the thermal stability is interestingly observed for the case of OTS SAM (up to 625 K) on freshly prepared spherical silica surfaces. Despite this difference in the thermal stability, the results of temperature dependent infrared spectra demonstrate monolayer decomposition in both cases through the involvement of both Si-C and C-C bonds leaving Si-O-Si bond intact.     

A mild transformation of γ-FeOOH to γ-Fe2O3 using organic reagents

The layered compound, FeOCl is known to form stable intercalates with a large number of organic molecules. When the isostructural γ-FeOOH is treated with organic bases at temperatures of 120–140°C, it is quantitatively converted to the topotactically related γ-Fe₂O₃. The first step in this base assisted dehydration is presumed to be an intercalation. The second and possibly faster step could be a sequential elimination of water from the interlayer, the role of the base being catalytic. Slightly impure samples of γ-FeOOH that contain a small (5%) amount of α-FeOOH are transformed quantitatively into α-Fe₂O₃ under the above conditions but pure α-FeOOH is unaffected. A possible rationale for this observation is given.     

LDV MEASUREMENTS IN GAS-SOLID FLOWS—A REVIEW

This paper describes the history of LDV measurements employed in research involving gas-solid flows. Much of the discussion deals with measurement techniques employed to obtain separate and simultaneous solid and gas phase velocities. Also, LDV based measurement techniques that are used to obtain particle size and concentration information in conjunction with the velocity measurements are presented.     

Some experiments in two-dimensional grammatical inference

This paper presents results of experiments conducted on a scheme for inferring two-dimensional, probabilistic Siromoney array grammars incorporating Markov random field distortion of binary images.