Pollen profile from sediment core KB1, Holzminden, Northern Germany

The Nachtigall clay pit near Holzminden, northern Germany, is located in a subrosional basin filled with 43 m of interglacial, interstadial and stadial deposits adjacent to the Weser River. The succession separates the Older Middle Terrace from the Younger Middle Terrace of the Weser River. Nachtigall core KB1 (1998) mainly contains silt and clay with intercalated peat layers. The layers of fen peat and intercalated humic silt are between 36 and 22.5 m depth. According to palynological studies, the peat layers and some humic silts were deposited during interglacial and interstadial periods marked by forest vegetation, termed Nachtigall 1 and Nachtigall 2. They are subdivided by a stadial, termed Albaxen. The peat of Nachtigall 1 is interrupted twice by silt and clay strata (Allochthonous Unit I, II) which are reworked sediments of older glacial periods, possibly of late Elsterian or early Holsteinian age. The palynological sequences of Nachtigall and Göttingen/Ottostrasse show the same pattern. Moreover, the contemporaneous pollen profiles of Nachtigall and Göttingen/Ottostrasse can be compared with the Velay pollen sequence (France). The Nachtigall core section 36-26.02 m corresponds to Bouchet 2 - Bonnefond - Bouchet 3 in Velay. The profiles of Velay and Nachtigall are independently correlated to the MIS-timescale and correspond to MIS 7c, 7b, and 7a. TIMS 230Th/U-dating shows ages ranging from 227 + 9/-8 to 201 + 15/-13 ka, which are in good agreement with the inferred MIS 7 age.

New dimensions on the economics of the entrepreneurial process

This thesis examines the transition of employees into entrepreneurship, with particular emphasis on the role of workplace characteristics in influencing this movement. The first main chapter examines whether the determinants of becoming an intrapreneur differ from those that support transitions into independent entrepreneurship. The results show that intrapreneurs resemble employees rather than entrepreneurs, contrary to what the entrepreneurship theory would suggest. Yet it shows that those intrapreneurs that expect to acquire an ownership stake in the business, unlike the rest of intrapreneurs, possess traditional entrepreneurial traits. Chapter 3 investigates how workers’ degree of specialisation determines their decision to found a firm. It shows that entrepreneurs emerging from small firms, i.e. generalists, transfer knowledge from more diverse aspects of the business and create firms more related to the main activity of their last employer. Workers in large firms, however, benefit from higher returns to human capital that increase their opportunity costs to switch to entrepreneurship. Since becoming an entrepreneur would make part of their specialised skills unutilised, the minimum quality of the idea at which they would be willing to leave will be higher and, therefore, entrepreneurs emerging from large firms will be of highest quality. Chapter 4 analyses whether the reason to terminate an employment contract is associated with the fact that the majority of entrepreneurs appear to set up their business after having worked for a small firm. Moreover, it studies how this pattern varies as the labour market conditions worsen. The effect of layoffs turns out to be a key driver in the entry to entrepreneurship and it is found to exert a greater effect the smaller the firm workers are dismissed from. This has been reflected in an overall larger flow of employees from small firms moving into entrepreneurship over the recession.

Information Processing in a Cognitive Model of NLP

A model of the cognitive process of natural language processing has been developed using the formalism of generalized nets. Following this stage-simulating model, the treatment of information inevitably includes phases, which require joint operations in two knowledge spaces – language and semantics. In order to examine and formalize the relations between the language and the semantic levels of treatment, the language is presented as an information system, conceived on the bases of human cognitive resources, semantic primitives, semantic operators and language rules and data. This approach is applied for modeling a specific grammatical rule – the secondary predication in Russian. Grammatical rules of the language space are expressed as operators in the semantic space. Examples from the linguistics domain are treated and several conclusions for the semantics of the modeled rule are made. The results of applying the information system approach to the language turn up to be consistent with the stages of treatment modeled with the generalized net.

Experimental Support of Argument-based Syntactic Computation

Linguistic theory, cognitive, information, and mathematical modeling are all useful while we attempt to achieve a better understanding of the Language Faculty (LF). This cross-disciplinary approach will eventually lead to the identification of the key principles applicable in the systems of Natural Language Processing. The present work concentrates on the syntax-semantics interface. We start from recursive definitions and application of optimization principles, and gradually develop a formal model of syntactic operations. The result – a Fibonacci- like syntactic tree – is in fact an argument-based variant of the natural language syntax. This representation (argument-centered model, ACM) is derived by a recursive calculus that generates a mode which connects arguments and expresses relations between them. The reiterative operation assigns primary role to entities as the key components of syntactic structure. We provide experimental evidence in support of the argument-based model. We also show that mental computation of syntax is influenced by the inter-conceptual relations between the images of entities in a semantic space.

Approximation of Univariate Set-Valued Functions - an Overview

2000 Mathematics Subject Classification: 26E25, 41A35, 41A36, 47H04, 54C65.