The aim of the article is to present loan vocabulary connected to clothes and ornaments. The Old-Believers’ dialect is subject to Polish interference on the lexical level because vocabulary is the linguistic element which is changing most rapidly. The dialect studied is situated in the Polish linguistic environment and thus it is isolated due to its lack of territorial contact with the Russian language. It belongs to the so-called Pskov group – the western Central Great Russian akanie dialects. Since the 1950s, when research into the dialect was initiated by Iryda Grek-Pabisowa and Irena Maryniakowa, the biggest increase in loan words has been noticed in the vocabulary related to health, jobs, clothes and ornaments, and the expressions used to refer to the new reality: the progress of civilisation, education, transport and agriculture. The lexemes borrowed are subject to various adaptation processes, for example, phonetic, stress-pattern, morphological or derivational ones.
HPM meters are required for the assessment of fields generated by sources of high-power microwaves. Finding the inverse calibration curves for such instruments is important for ensuring accuracy. The procedure is relatively simple for meters consisting of linear devices but there can also be hardware solutions implementing nonlinear ones. The objective of the present work was to develop a convenient procedure to allow finding such a curve when the meter uses a D-dot probe and a power detector. For that purpose, the results of low voltage measurements describing the properties of the detector were first analysed. Then a software code was developed to estimate the RMS value of an incident field based on measured output and frequency response. The response was estimated with very low electric field. And finally, the performance of the proposed procedure was verified by tests conducted with high electric field in a TEM cell. High conformity of the output of the meter with fields of known values was demonstrated. The maximum error related to the meter range did not exceed 4%.
en
pl
