The solubility diagram for CuSe0 3 -Se0 2 -H 2 0 at 298 K was studied for the first time, and was employed to define the conditions for the formation of Cu(HSe0 3 h. The bonding conditions including the behaviour of protons in the hydrogen bonds were described for this compound.Research carried out so far on cupric selenates included preparation methods 1-7 and study of the thermoanalytical and magnetic properties of CuSe0 3 .2 H 20 and CuSezOs (refs S -IO ). X-ray studies have been carried out on the compounds CuSe03 • . 2 H20, CuSe20S and CuSe03 (refs ll -IS ). The complete structure of Cu(HSe03)2' .H 2 0 has been determined l6 . The molecular spectra have been studied for the compounds, CuSe0 3 .2 H 2 0, CuSe0 3 and CuSe 2 0 S (refs I7 -IS ).This work is devoted to cupric selenate in the framework of a systematic study of s~Ienates, i.e. compounds with potential ferroelectric properties. The solubility diagram for the CuSe03-SeOz-H20 system at 298 K was studied and conditions for the formation of Cu(HSe0 3 )2 were determined; the bonding conditions were characterized on the basis of a study of the physical chemical properties. The behaviour of the protons in the hydrogen bonds was examined, considering possible phase transitions. EXPERIMENT ALSclenious acid, employed to study the solubility diagram of CuSe0 3 -H z Se0 3 -H 2 0 was prepared from sodium selenate (p.a., Lacema, Brno) on the Dowex 50W-X8 ion exchanger (Fluka AG). Anhydrous cupric selenate was prepared by the reaction of a O·2M solution of sodium selenate. The molar ratios CuSe0 3 : H 2 Se0 3 : H 2 0 were found from the wlubility study for optimal yield of the compound Cu(HSe0 3 h, equal to 1 : 2, 1 : 1·1. The compound prepared was filtered under suction on a frit, washed with water and acetone and dried in the air. The crystalline blue-green powder obtained is insoluble in water and readily soluble in dilute acids. The values calculated and found (in brackets) for the Cu and Se contents are as follows: 19·88 (19'61) ~~ Cu and 49·44 (49'18) % Se. The deuterated compound Cu(DSe0 3 h was prepared similarly from CuSeO J , Se0 2 and D 2 0 and was employed to study infrared spectra.
In this paper, we introduce a highly scalable sort-merge join algorithm for RDF databases. The algorithm is designed especially for streaming systems; besides task and data parallelism, it also tries to exploit the pipeline parallelism in order to increase its scalability. Additionally, we focused on handling skewed data correctly and efficiently; the algorithm scales well regardless of the data distribution.
Long-running tasks inhibit a parallel ex ecution in some cases. A finer task granularity can significantly improve execution times in parallel en vironment. That is even more significant when using cooperative scheduling and it puts higher requirements on user code. In this paper we present a method of user code optimization using static code analysis in order to reduce long-running tasks. The method is based on evaluation of runtime code complexity and yielding a task execution in an appropriate place.
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