Abstract ChemInform is a weekly Abstracting Service, delivering concise information at a glance that was extracted from about 200 leading journals. To access a ChemInform Abstract of an article which was published elsewhere, please select a “Full Text” option. The original article is trackable via the “References” option.
Abstract not Available.
Heinz Heinemann contributed significantly to the field of heterogeneous catalysis over his 60 year career. As a scientist and later Catalysis Research Manager at ExxonMobil's (then Mobil's) Princeton Laboratory, he oversaw the development of many of the ZSM-5 processes for fuels and chemicals, most notably, a post-reforming process known as M-Forming. The M-Forming process development program justified Mobil's commercial development of ZSM-5, which in turn led to the rapid development of many other ZSM-5 processes including Methanol-to-Gasoline, Middle Distillate Dewaxing, xylene isomerizaion, and lubes dewaxing.
An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
Discussions of inner-city social dislocations are often severed from the struggles and structural changes in the larger society, economy, and polity that in fact determine them, resulting in undue emphasis on the individual attributes of ghetto residents and on the alleged grip of the so-called culture of poverty. This article provides a different perspective by drawing attention to the specific features of the proximate social structure in which ghetto residents evolve and try to survive. This is done by contrasting the class composition, welfare trajectories, economic and financial assets, and social capital of blacks who live in Chicago's ghetto neighborhoods with those who reside in this city's low-poverty areas. Our central argument is that the interrelated set of phenomena captured by the term “underclass” is primarily social-structural and that the inner city is experiencing a crisis because the dramatic growth in joblessness and economic exclusion associated with the ongoing spatial and industrial restructuring of American capitalism has triggered a process of hyperghettoization.
From Hubble Space Telescope images with 0.05" resolution we identify four stars brighter than V=25 mag within 2.5" of SN 1993J in M81 which contaminated previous ground-based brightness estimates for the supernova progenitor. Correcting for the contamination, we find that the energy distribution of the progenitor is consistent with that of an early K-type supergiant star with M_V \~ -7.0 +/- 0.4 mag and an initial mass of 13--22 Msun. The brightnesses of the nearby stars are sufficient to account for the excess blue light seen from the ground in pre-explosion observations. Therefore, the SN 1993J progenitor did not necessarily have a blue companion, although by 2001, fainter blue stars are seen in close proximity to the supernova. These observations do not strongly limit the mass of a hypothetical companion. A blue dwarf star with a mass up to 30 Msun could have been orbiting the progenitor without being detected in the ground-based images. Explosion models and observations show that the SN 1993J progenitor had a helium-rich envelope. To test whether the helium abundance could influence the energy distribution of the progenitor, we calculated model supergiant atmospheres with a range of plausible helium abundances. The models show that the pre-supernova colors are not strongly affected by the helium abundance longward of 4000 A, and abundances ranging between solar and 90% helium (by number) are all consistent with the observations.
In this paper we introduce a framework for privacypreserving distributed computation that is practical for many real-world applications. The framework is called Peers for Privacy (P4P) and features a novel heterogeneous architecture and a number of efficient tools for performing private computation and ensuring security at large scale. It maintains the following properties: (1) Provably strong privacy; (2) Adequate efficiency at reasonably large scale; and (3) Robustness against realistic adversaries. The framework gains its practicality by decomposing data mining algorithms into a sequence of vector addition steps that can be privately evaluated using a new verifiable secret sharing (VSS) scheme over small field (e.g., 32 or 64 bits), which has the same cost as regular, non-private arithmetic. This paradigm supports a large number of statistical learning algorithms including SVD, PCA, k-means, ID3, EM-based machine learning algorithms, etc., and all algorithms in the statistical query model [36]. As a concrete example, we show how singular value decomposition (SVD), which is an extremely useful algorithm and the core of many data mining tasks, can be done efficiently with privacy in P4P. Using real-world data and actual implementation we demonstrate that P4P is orders of magnitude faster than existing solutions. 1
Wide-band-gap GaN and Ga-rich InGaN alloys, with energy gaps covering the blue and near-ultraviolet parts of the electromagnetic spectrum, are one group of the dominant materials for solid state lighting and lasing technologies and consequently, have been studied very well. Much less effort has been devoted to InN and In-rich InGaN alloys. A major breakthrough in 2002, stemming from much improved quality of InN films grown using molecular beam epitaxy, resulted in the bandgap of InN being revised from 1.9 eV to a much narrower value of 0.64 eV. This finding triggered a worldwide research thrust into the area of narrow-band-gap group-III nitrides. The low value of the InN bandgap provides a basis for a consistent description of the electronic structure of InGaN and InAlN alloys with all compositions. It extends the fundamental bandgap of the group III-nitride alloy system over a wider spectral region, ranging from the near infrared at ∼1.9 μm (0.64 eV for InN) to the ultraviolet at ∼0.36 μm (3.4 eV for GaN) or 0.2 μm (6.2 eV for AlN). The continuous range of bandgap energies now spans the near infrared, raising the possibility of new applications for group-III nitrides. In this article we present a detailed review of the physical properties of InN and related group III-nitride semiconductors. The electronic structure, carrier dynamics, optical transitions, defect physics, doping disparity, surface effects, and phonon structure will be discussed in the context of the InN bandgap re-evaluation. We will then describe the progress, perspectives, and challenges in the developments of new electronic and optoelectronic devices based on InGaN alloys. Advances in characterization and understanding of InN and InGaN nanostructures will also be reviewed in comparison to their thin film counterparts.
For five decades, Jim A. Estes studied sea otters in the Aleutian archipelago of Alaska, discovering how otters structured entire communities. By consuming sea urchins, otters released kelp from herbivory, kelp beds flourished, and kelps sheltered a diversity of fishes, and invertebrates. When otters were extirpated by paleohumans, modern humans, or killer whales, urchins proliferated, reduced kelp forests to “urchin barrens,” and species-rich assemblages of fishes and invertebrates were lost. These losses affected seals, eagles, sea gulls, fishes, and sea stars that depended on these prey as well as adjacent habitats that had been nourished by exported kelp production. Jim’s research became the poster child for keystone species, trophic cascades, and the critical role of predators in structuring ecosystems. Similar discoveries followed in freshwaters, forests, and grasslands.
Naturally occurring cellulose is crystalline as a consequence of the strong interactions between the glucan chains that comprise it and therefore is insoluble in most solvents. One of the few solvent systems able to dissolve cellulose is lithium chloride (LiCl) dissolved in N,N-dimethylacetamide (DMA). By an integrated application of all-atom molecular dynamics (MD) simulations, reaction path optimization, free-energy calculations, and a force-matching analysis of coarse-grained atomistic simulations, we establish that DMA-mediated preferential interactions of Li(+) cations and Cl(-) anions with glucan chains enable cellulose dissolution in LiCl/DMA. The relatively weak solvation of Li(+), Cl(-), and glucan chains by DMA results in strong effective interactions of Li(+) and Cl(-) ions with the glucans, leading to cellulose dissolution. The small size of the Li(+) cations allows them to strongly couple to multiple interaction sites on the glucan chains of cellulose, including the spatially restricted regions around the ether linkages connecting neighboring glucose residues. Li(+) cations were thus identified as the main component responsible for driving cellulose dissolution. The mechanism for explaining the solubility of cellulose in the LiCl/DMA system deduced from the analysis of atomistic-scale simulations conducted in this work is also consistent with most of the empirical observations related to cellulose dissolution in salt/amide solvent systems.
