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Against the background of comparatively insufficient, expressly dedicated studies on double particle verb person nominalisations, this paper offers a qualitative, cognitive-constructionist approach to the properties of doubler-upper nominalisations of particle verbs in English and a reappraisal of some of the available analyses thereof. On the assumption of the validity of the flexicon stance on the organisation of words in the human mind, and on the basis of a preliminary semantic analysis of 300 types of doubler-upper nouns extracted from two corpora and Urban Dictionary, it is claimed that there are no identifiable constraints on the possibility of double-er marking and no particular properties of particle verbs as bases to preclude double -er marking. A hypothesis is formulated that, despite their deviance, doubler-uppers strike the optimal balance between complexity and unity and appear to be the most natural and morphophonologically best-fitting pattern for particle verb -er nominalisation (at least in spoken discourse and the media). Full article

A key parameter for the design of soil drainage and irrigation facilities and for the modelling of surface runoff and erosion phenomena in land-formed areas is the saturated hydraulic conductivity (Ks). There are many methods for determining its value. In situ and laboratory measurements are commonly regarded as the most accurate and direct methods; however, they are costly and time-consuming. Alternatives can be found in the increasingly popular models of pedotransfer functions (PTFs), which can be used for rapid determination of soil hydrophysical parameters. This study presents an analysis of the Ks values obtained from in situ measurements conducted using a double-ring infiltrometer (DRI). The measurements were conducted using a laboratory permeability meter (LPM) and were estimated using five PTFs in the Rosetta program, based on easily accessible input data, i.e., the soil type, content of various grain sizes in %, density, and water content at 2.5 and 4.2 pF, respectively. The degrees of matching between the results from the PTF models and the values obtained from the in situ and laboratory measurements were investigated based on the root-mean-square deviation (RMSD), Nash–Sutcliffe efficiency (NSE), and determination coefficient (R2). The statistical relationships between the tested variables tested were confirmed using Spearman’s rank correlation coefficient (rho). Data analysis showed that in situ measurements of Ks were only significantly correlated with the laboratory tests conducted on intact samples; the values obtained in situ were much higher. The high sensitivity of Ks to biotic and abiotic factors, especially in the upper soil horizons, did not allow for a satisfactory match between the values from the in situ measurements and those obtained from the PTFs. In contrast, the laboratory measurements, showed a significant correlation with the Ks values, as estimated by the models PTF-2 to PTF-5; the best match was found for PTF-2. Full article