Fast, linked, and open – the future of taxonomic publishing for plants: launching the journal PhytoKeys

The paper describes the focus, scope and the rationale of PhytoKeys, a newly established, peer-reviewed, open-access journal in plant systematics. PhytoKeys is launched to respond to four main challenges of our time: (1) Appearance of electronic publications as amendments or even alternatives to paper publications; (2) Open Access (OA) as a new publishing model; (3) Linkage of electronic registers, indices and aggregators that summarize information on biological species through taxonomic names or their persistent identifiers (Globally Unique Identifiers or GUIDs; currently Life Science Identifiers or LSIDs); (4) Web 2.0 technologies that permit the semantic markup of, and semantic enhancements to, published biological texts. The journal will pursue cutting-edge technologies in publication and dissemination of biodiversity information while strictly following the requirements of the current International Code of Botanical Nomenclature (ICBN)

ONYCHOMYCOSES OF LOW EXTREMITIES IN PATIENTS WITH DIFFERENT DERMATOSES

Our study involved 305 patients with skin diseases hospitalized in the Department of Dermatology and Venereology, Medical University of Varna, for a 6-month period (April-September, 1998). In 40 (13,1 %) of them onychomycoses of toe nails (1-10) nails as an attendant disease were established. The group included patients aged 45 to 73 years; 22 males and 18 females. Diagnosis of dermatophyte nail invasion was proved by the isolation and identification of the fungi from the affected nails. Onychomycoses accompanied several skin diseases such as erysipelas - 9, psoriasis vulgaris - 8, chronic venous insufficiency of lower extremities - 5, skin diseases with autoimmune genesis and prolonged immunosupressive therapy - 5, and other -13. That gavs reason to consider onychomycoses as predisposition factors in some dermatoses but in patients with decreased immune defense as predisposition factors for the appearance of the disease

Stability and Sample-Based Approximations of Composite Stochastic Optimization Problems

Optimization under uncertainty and risk is indispensable in many practical situations. Our paper addresses stability of optimization problems using composite risk functionals that are subjected to multiple measure perturbations. Our main focus is the asymptotic behavior of data-driven formulations with empirical or smoothing estimators such as kernels or wavelets applied to some or to all functions of the compositions. We analyze the properties of the new estimators and we establish strong law of large numbers, consistency, and bias reduction potential under fairly general assumptions. Our results are germane to risk-averse optimization and to data science in general