Titlebook: Female Alopecia; Guide to Successful Ralph M. Trüeb Book 2013 Springer-Verlag Berlin Heidelberg 2013 Female hair loss.Hair care.Hair loss

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B. DuplantierLoosely speaking. an .-party protocol for this purpose has . whatever a subset of the users can efficiently compute when participating in the protocol, they can also compute from their local inputs and the value .(..,..., ..)..Recently, Goldreich, Micali and Wigderson have presented a polynomial-tim

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A Digital Psychophysiological Mapping of Primary School Children with/without Learning Disabilitiescard ein Performance-Management-Instrument vorgestellt, das einen expliziten Bezug zur Strategie des Unternehmens aufweist. Die informationstechnische Unterstützung durch ein Data-Warehouse-System umfasst mit diesem Instrument den Performance-Management-Prozess zur Implementierung der Strategie, die

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Foraging in surfperches: resource partitioning or individualistic responses?,benthos. Although they tend to select different foods in different microhabitats, their different foraging traits are probably ‘individualistic responses’ (non-interactive or autecological species responses to resources) because the species’ pairwise resource overlaps are neither uniformly small nor

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Turkey: CSR in Practicered by society to account for their actions. Several smaller businesses are growing into larger companies and changing their status from family owned business into a formal and well organized structure. This rapid change in structure is transforming companies into becoming more transparent, accounta

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0933-033X ex-situ characterization tools of carbon-based nanomaterials.This book systematically summarizes the advanced development of carbon-based nanomaterials for electrochemical catalysis, and it is comprised of four sections. The first section discusses about the fundamental synthesis, characterization t

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Assays for Antiviral Activity, antiviral, antiproliferative, immunostimulatory (.,.), the AVA remains one of the most widely used methods of measuring IFN potency (.,.). This chapter is therefore devoted to describing the methodology underlying AVAs (..), and includes tips on how to best carry these out in the laboratory.

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MANET Location Prediction Using Machine Learning Algorithmsn implemented in MATLAB and tested using data obtained from a variety of mobile simulations in the ns-2 simulator. This paper presents the results of these experiments with the aim of guiding and encouraging development of location-predictive MANET applications.