From 3,4-dinitrothiophene to nitrocyclopropanes and 1,1'-dinitro-1,1'-bi(cyclopropyl) compounds

Treatment of (E,E)-1,4-diaryl-2,3-dinitro-1,3-butadienes (I) with diazomethane in Et2O or THF represents a facile and high-yielding route to 2,2'-diaryl-1,1'-dinitro-1,1'-bi(cyclopropyl)s. The process exclusively produces diastereomeric mixts. of a chiral d,l pair and a meso form, the relative percentages of which depend on the aryl moiety, consistently with a concerted syn-stereoselective cyclopropanation of each double bond. With 1 mol-equiv of CH2N2, the cyclopropanation can effectively be limited to one double bond of the starting dinitrobutadiene, thus allowing a synthetically useful differentiation between the two originally conjugated nitrovinyl moieties. As verified with model derivs., the resulting vinylcyclopropanes can be cyclopropanated with excess diazomethane to give the same diastereomeric mixts. as obtained by direct bis(cyclopropanation) of I

2-(4-Chloro­benzamido)­acetic acid

In the crystal structure of the title mol­ecule, C9H8ClNO3, adjacent mol­ecules are arranged into centrosymmetric dimers through pairs of inter­molecular O—H⋯O inter­actions. Inter­molecular N—H⋯O hydrogen bonds link the dimers into a layer parallel to the bc plane. In the layer, mol­ecules are packed in a face-to-face π-stacked arrangment, showing π–π stacking inter­actions between the benzene rings with a centroid–centroid distance of 3.6884 (8) Å

Crystal structure of (1E,3E)-4-methylthio-2-nitro-3-phenylsulfonyl-1- pyrrolidino-1,3-butadiene, C15H18N2O4S2

Abstract C15H18N2O4S2, monoclinic, P121/c1 (No. 14), a = 8.754(3) Å, b = 12.499(2) Å, c = 15.599(3) Å, β = 95.09(2)°, V = 1700.1Å3, Z = 4, Rgt(F) = 0.049, wRref(F2) = 0.128, T = 294 K

ISTAT DATA UTILIZATION TO ENHANCE LANDSAT 8 IMAGES CLASSIFICATION PROCESS

ISTAT geographic data, updated to realize census 2010 project in October 2011, represents an useful resource to improve the results derived from Land cover/use cartography or satellite image processing. In fact, both ISTAT vector data and other cartography data (i.e. satellite image classification) can be integrated to realize a product that can help to better understand land cover data especially in urban environment (i. e. urban sprawl), although it can’t be considered a cartography product in a strict sense. This paper summarizes an experimental study based on a LANDSAT 8 image that cover completely 5 provinces in the north of Italy, where it’s shown that ISTAT data, DEM and combine of NDVI and NDBI indices can improve the results of the satellite image classification process, especially in urban areas. Used SW: ARCGIS 10.1 for desktop (ArcInfo license) and ERDAS Imagine

7-Chloro-3,6-dimethyl-1H-indene-2-carbaldehyde

In the crystal structure of C12H11ClO, the (planar) molecules give rise to a parallel packing. A model crystal obtained by semi-empirical and packing-energy calculations is consistent with the observed structure

A novel potent non-nucleoside reverse transcriptase inhibitor acylthiocarbamate derivative with extensive intramolecular pi-pi interactions

In the crystal structure of the novel acylthiocarbamate derivative O-[2-(1,3-dioxo-2,3-dihydro-1H-isoindol-2-yl)-ethyl] N-(4-methylphenyl)-N-(3-nitrobenzoyl)thiocarbamate, C25H19N3O6S, intra- and intermolecular pi-pi interactions occur between the phthalimide and N-benzoyl moieties. The partial atomic charges, calculated by ab initio methods, are consistent with the observed structure

La Cartografia ISTAT come supporto per le emergenze territoriali

Official ISTAT Cartography and its related data, updated in advance of each census survey, not only represent the base for statistical description of the entire Italian territory but can be used as an useful help in emergency situation too. Their partition into residential and production areas and enumeration areas, in fact, allows to realize thematic maps, through very simple GIS algorithm, very useful overall during the early stages of the emergency. Buildings and houses ISTAT database can further provide some specific information about buildings and houses state (Census 2011 data)