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In this research, antioxidant activities of various extracts obtained from Humulus lupulus L. were compared by DPPH, ABTS, FRAP, and CUPRAC assays. The amount of total phenolic components determined by the Folin-Ciocalteu reagent was found to be highest for 25% aqueous ethanol (9079 ± 187.83 mg Ferulic acid equivalent/100 g extract) and methanol-1 (directly) (8343 ± 158.39 mg Ferulic acid equivalent/100 g extract) extracts. The n-hexane extract of H. lupulus exhibited the greatest with DPPH (14.95 ± 0.03 μg Trolox equivalent/g sample). The highest phenolic content in the ethanolic extract could be the major contributor to its highest CUPRAC activity (3.15 ± 0.44 mmol Trolox equivalent/g sample). Methanol-2 (n-hexane, acetone, and methanol) and methanol-3 (n-hexane, dichloromethane, ethylacetate, and methanol) extracts, respectively, exhibited the most potent ABTS (7.35 ± 0.03 mM Trolox equivalent) and FRAP (1.56 ± 0.35 mmol Fe(2+)/g sample) activities. Some of the components from the crude extracts were determined by LC-MS/MS and GC-MS analyses. Comparative screening of antioxidant activities of H. lupulus extracts and quantification of some major components by LC-MS/MS, qualitatively analysis of the reported ones which were optimal under negative ion SIM mode and coinjection, are going to be valuable for food and health applications.

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Reversed-phase HPLC analyses of the methanol extract of the leaves of Erica arborea afforded a novel phenylpropanoid glucoside, named ericarborin, together with five flavonoids, dihydromyricetin 3-O-alpha-L-rhamnopyranoside, quercetin 3-O-beta-D-glucopyranoside, quercetin 3-O-alpha-L-rhamnopyranoside, apigenin 7-O-beta-D-glucopyranoside and apigenin 7-O-beta-D-(6-O-acetyl-glucopyranoside). While the structure of ericarborin was determined by extensive 1D and 2D NMR analyses, the structures of all known flavonoids were determined by direct comparison of their spectroscopic data with respective literature data. The antioxidant properties of these compounds were assessed by the DPPH assay. The chemotaxonomic significance of these phenolic compounds has been discussed.

B. Performance modelingWe make use of analytic models for some of our performance estimates, particularly communication. We use a linear model [21] for communication, where α is the latency and β is the inverse bandwidth. Then the cost to send a message between two nodes is α + βn. We additionally assume that the network is full-duplex and that there is no interference.Collective communication operations such as allreduce will be important for some operations; for these, we use the performance models of Thakur et al [22]. For distributed matrix multiplication, we use the performance models developed for the Elemental library [23]. C. NotationWe now define some notation for distributed tensors that will be used throughout this paper. Our notation is heavily based on the tensor notation developed for the FLAME project [23]- [25].A tensor is an M -dimensional array, where the size of dimension m is I m , and we write I = (I 0 , . . . , I M −1 ) to refer to the shape of an entire tensor.