Titlebook: Leven met een borderline persoonlijkheidsstoornis; Josephine Giesen-Bloo Book 2003Latest edition Bohn Stafleu van Loghum 2003

砍伐

S?ren Becker,Matthias Naumann the primary cortex, glabrous to hispid, glandular trichomes present or not, 1–2 axillary thorns per node, or thorns absent. Leaves alternate, sessile or petiolate, exstipulate, blade linear to ovate, apex acuminate to rounded, base attenuate to cordate, margin entire or serrulate, glabrous to gland

手榴彈

Richard Rossi Ciampolini,Alexander Arnfinn Olseniert und versucht, diese zur sozialarbeitswissenschaftlichen Reflexion zu nutzen. W?hrend es in den 1970er Jahren vor allem kritisch-rationalistische, marxistische oder kritisch-emanzipatorische Ans?tze waren, die der Reflexion der Sozialarbeit dienten, so wurde in den 1980er Jahren unter wissenscha

appall

William H. Tranter,Otto H. Leet has, of course, historical significance in the subject as well as a major technological profile in recent decades, while intimate connections between these complementary facets of the subject have always been a driving force for its earlier and continu- ing development. In the Modern Aspects of El

cartilage

dithiolethione

祖?zhèn)髫敭a(chǎn)

Stronger Inference through Implied Literals from Conflicts and Knapsack Covers,en applied in an efficient dynamic manner on learned clauses derived from conflicts during backtracking search. We explore this technique further and extend it to mixed integer linear programs (MIPs) in the context of conflict constraints. This results in stronger inference from clique tables and im

Glaci冰

glacial

Kommissioniersysteme,nstellen von bestimmten Teilmengen aus einer bereitgestellten Gesamtmenge, nach vorgegebenen Bedarfsinformationen zu verstehen. Die Teilmengen bestehen aus Artikeln, die aus dem Sortiment (= Gesamtmenge) für einen Auftrag (= Bedarfsinformation) gesammelt werden.

逗留

0720-678X ate new important results that had just been obtained. The ASSOM (Adaptive-Subspace SOM) is a new architecture in which invariant-feature detectors emerge in an unsupervised learning process. Its basic principle was already introduced in the first edition, but the motiva- tion and theoretical discus

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Multidimensional Range Selectionrodal, Gfeller, J?rgensen, and Sanders (2011) for one-dimensional range selection to higher dimensions..As a byproduct, we design data structures to support .-dimensional range counting queries within . words of space and . query time, for any word size .. This improves the best known result of JaJa, Mortensen, and Shi (2004) when ..