Characterisation of amorphous and nanocrystalline molecular materials by total scattering

The use of high-energy X-ray total scattering coupled with pair distribution function analysis produces unique structural fingerprints from amorphous and nanostructured phases of the pharmaceuticals carbamazepine and indomethacin. The advantages of such facility-based experiments over laboratory-based ones are discussed and the technique is illustrated with the characterisation of a melt-quenched sample of carbamazepine as a nanocrystalline (4.5 nm domain diameter) version of form III.

Effectiveness of landmark analysis for establishing locality in p2p networks

Locality to other nodes on a peer-to-peer overlay network can be established by means of a set of landmarks shared among the participating nodes. Each node independently collects a set of latency measures to landmark nodes, which are used as a multi-dimensional feature vector. Each peer node uses the feature vector to generate a unique scalar index which is correlated to its topological locality. A popular dimensionality reduction technique is the space filling Hilbert’s curve, as it possesses good locality preserving properties. However, there exists little comparison between Hilbert’s curve and other techniques for dimensionality reduction. This work carries out a quantitative analysis of their properties. Linear and non-linear techniques for scaling the landmark vectors to a single dimension are investigated. Hilbert’s curve, Sammon’s mapping and Principal Component Analysis have been used to generate a 1d space with locality preserving properties. This work provides empirical evidence to support the use of Hilbert’s curve in the context of locality preservation when generating peer identifiers by means of landmark vector analysis. A comparative analysis is carried out with an artificial 2d network model and with a realistic network topology model with a typical power-law distribution of node connectivity in the Internet. Nearest neighbour analysis confirms Hilbert’s curve to be very effective in both artificial and realistic network topologies. Nevertheless, the results in the realistic network model show that there is scope for improvements and better techniques to preserve locality information are required.

Sustainable refurbishment: quantifying the impact of façade changes in multi-storey, multi-occupancy buildings

Building refurbishment is key to reducing the carbon footprint and improving comfort in the built environment. However, quantifying the real benefit of a facade change, which can bring advantages to owners (value), occupants (comfort) and the society (sustainability), is not a simple task. At a building physics level, the changes in kWh per m2 of heating / cooling load can be readily quantified. However, there are many subtle layers of operation and mainte-nance below these headline figures which determine how sustainable a building is in reality, such as for example quality of life factors. This paper considers the range of approached taken by a fa/e refurbishment consortium to assess refurbishment solutions for multi-storey, multi-occupancy buildings and how to critically evaluate them. Each of the applued tools spans one or more of the three building parameters of people, product and process. 'De-cision making' analytical network process and parametric building analysis tools are described and their potential impact on the building refurbishment process evaluated.

Cytenamide trifluoroacetic acid solvate

Cytenamide forms a 1:1 solvate with trifluoroacetic acid (systematic name: 5H-dibenzo[a, d] cycloheptatriene-5-carboxamide trifluoroacetic acid solvate), C16H13NO center dot C2HF3O2. The compound crystallizes with one molecule of cytenamide and one of trifluoroacetic acid in the asymmetric unit; these are linked by O-H center dot center dot center dot O and N-H center dot center dot center dot O hydrogen bonds to form an R-2(2)(8) motif. The trifluoromethyl group of the solvent molecule displays rotational disorder over two sites, with site-occupancy factors of 0.964 (4) and 0.036 (4).

Cytenamide acetic acid solvate

In the crystal structure of the title compound (systematic name: 5H-dibenzo[a,d]cycloheptatriene-5-carboxamide ethanoic acid solvate), C16H13NO center dot C2H4O2, the cytenamide and solvent molecules form a hydrogen-bonded R-2(2)(8) dimer motif, which is further connected to form a centrosymmetric double ring motif arrangement. The cycloheptene ring adopts a boat conformation and the dihedral angle between the least-squares planes through the two aromatic rings is 54.7 (2)degrees.

Cytenamide-butyric acid (1/1)

Cytenamide forms a 1:1 solvate with butyric acid [systematic name: 5H-dibenzo[a,d]cycloheptatriene-5-carboxamide-butanoic acid (1/1)], C16H13NO center dot C4H8O2. The title compound crystallizes with one molecule of cytenamide and one of butyric acid in the asymmetric unit; these molecules are linked by N-H center dot center dot center dot O and O-H center dot center dot center dot O hydrogen bonds to form an R-2(2)(8) heterodimer motif. Pairs of adjacent motifs are further connected via N-H center dot center dot center dot O interactions to form a discrete centrosymmetric assembly.

Cytenamide-1,4-dioxane (2/1)

In the crystal structure of the title compound [systematic name: 5H-dibenzo[a,d]cycloheptatriene-5-carboxamide-1,4dioxane(2/1)], 2C(16)H(13)NO center dot C4H8O2, the cytenamide molecules form a hydrogen-bonded R-2(2)(8) dimer. The solvent molecule is located between two adjacent cytenamide dimers and forms N-H center dot center dot center dot O hydrogen bonds with one cytenamide molecule from each dimer.