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<p>Gene expression levels of FATP5 were measured using qPCR in 5 normal livers (NL), 33 ICC, and related surrounding livers (SL).</p>
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.
This work presents a new approach to unsupervised abstractive summarization\nbased on maximizing a combination of coverage and fluency for a given length\nconstraint. It introduces a novel method that encourages the inclusion of key\nterms from the original document into the summary: key terms are masked out of\nthe original document and must be filled in by a coverage model using the\ncurrent generated summary. A novel unsupervised training procedure leverages\nthis coverage model along with a fluency model to generate and score summaries.\nWhen tested on popular news summarization datasets, the method outperforms\nprevious unsupervised methods by more than 2 R-1 points, and approaches results\nof competitive supervised methods. Our model attains higher levels of\nabstraction with copied passages roughly two times shorter than prior work, and\nlearns to compress and merge sentences without supervision.\n
Resonant tunnelling diodes (RTD's) have found various applications in high-speed digital and analog circuits due to their specific advantages associated with the unique folded-back negative differential resistance (NDR) I-V characteristics. As a result of the nonlinearity of RTD's, cellular neural networks (CNNs) designed with RTD's can achieve higher integration density and higher processing speed in comparison to standard CMOS based implementations. This paper describes two implements of RTD's based CNNs: one with RTD's only where RTD's are represented by current sources describing physics-based models, and the other with RTD's and FET's configured in well-known monostable-bistable logic elements (MOBILEs) circuitry. The paper also proposes a new and simple cell structure of MOBILE based CNN for connected component detection. Several image processing operations have been successfully simulated for these two types of CNNs. Simulation results show that RTD based CNNs have excellent performance in terms of complexity, speed and compactness.
No abstract is provided for this article.
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.
The thinning problem requires that two tasks be implemented: (i) peeling the thick pixels off; (ii) stopping the peeling process when the pixel size reduces to exactly one. The first part can be achieved with relative ease. The main difficulty lies in the second part, because the stopping decision must be done automatically. It is shown that image thinning can be achieved in real-time using a cellular neural network (CNN) with eight planes, each one defined by a set of peeling templates and a set of stopping templates. The thinning processor, which is both analog and parallel, is described and examples are shown.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
Theoretical methods are used to analyze the thermodynamics of ZSM-11 synthesis from amorphous silica and an aqueous solution of tetraalkylammonium hydroxide (TAAOH). The overall process is represented by the reaction 96SiO2(a) + n(TAA+/OH-/200H2O) = (nTAA+/Zn-) + 200nH2O. Both tetrapropylammonium (TPA+) and tetrabutylammonium (TBA+) cations are considered as the structure-directing agents, and calculations are performed for occlusion of either three or four TAA+ cations per unit cell of the zeolite. Both estimates of the change in internal energy and Gibbs free energy reveal that the synthesis of ZSM-11 should be favored by the occlusion of three TBA+ cations per unit cell, consistent with experimental observation. The present analysis also demonstrates the importance of energy and entropy changes associated with the dehydration of TAA+ and OH- ions and with the occlusion of TAA+ cations into the zeolite. The interactions of OH- anions with the zeolite framework to form defects in the form of siloxy (≡SiO-) groups are also considered.
Organotransition metal complexes catalyze important synthetic transformations, and the development of these systems has rested on the detailed understanding of the structures and elementary reactions of discrete organometallic complexes bound to organic ligands. One strategy for the creation of new organometallic systems is to exploit the intricate and highly structured ligands found in natural metalloproteins. We report the preparation and characterization of discrete rhodium and iridium fragments bound site-specifically in a κ(2)-fashion to the protein carbonic anhydrase as a ligand. The reactions of apo human carbonic anhydrase with [Rh(nbd)2]BF4 or [M(CO)2(acac)] (M=Rh, Ir) form proteins containing Rh or Ir with organometallic ligands. A colorimetric assay was developed to quantify rapidly the metal occupancy at the native metal-binding site, and (15)N-(1)H NMR spectroscopy was used to establish the amino acids to which the metal is bound. IR spectroscopy and EXAFS revealed the presence and number of carbonyl ligands and the number total ligands, while UV-vis spectroscopy provided a signature to readily identify species that had been fully characterized. Exploiting these methods, we observed fundamental stoichiometric reactions of the artificial organometallic site of this protein, including reactions that simultaneously form and cleave metal-carbon bonds. The preparation and reactivity of these artificial organometallic proteins demonstrate the potential to study a new genre of organometallic complexes for which the rates and outcomes of organometallic reactions can be controlled by genetic manipulation of the protein scaffold.
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.
