scispace - formally typeset
R

Robert Sałat

Researcher at Warsaw University of Life Sciences

Publications -  27
Citations -  518

Robert Sałat is an academic researcher from Warsaw University of Life Sciences. The author has contributed to research in topics: Neuropathic pain & Allodynia. The author has an hindex of 11, co-authored 26 publications receiving 438 citations. Previous affiliations of Robert Sałat include Warsaw University of Technology & University of Warsaw.

Papers
More filters
Journal ArticleDOI

Accurate fault location in the power transmission line using support vector machine approach

TL;DR: In this article, a new approach to the location of fault in the high-voltage power transmission line, relying on the application of the support vector machine and frequency characteristics of the measured one-terminal voltage and current transient signals of the system, is presented.
Journal ArticleDOI

Antiallodynic and antihyperalgesic activity of 3-[4-(3-trifluoromethyl-phenyl)-piperazin-1-yl]-dihydrofuran-2-one compared to pregabalin in chemotherapy-induced neuropathic pain in mice

TL;DR: LPP1 and pregabalin reduce pain in OXPT and PACLI-treated mice and this activity might be in part attributed to the inhibition of TRPV1 and TRPA1 channels, but also central mechanisms of action cannot be ruled out.
Journal ArticleDOI

The effect of GABA transporter 1 (GAT1) inhibitor, tiagabine, on scopolamine-induced memory impairments in mice

TL;DR: The lack of negative influence of tiagabine on cognitive functions in animals with scopolamine-induced memory impairments may be relevant for patients treated with this drug.
Journal ArticleDOI

Analgesic, anticonvulsant and antioxidant activities of 3-[4-(3-trifluoromethyl-phenyl)-piperazin-1-yl]-dihydrofuran-2-one dihydrochloride in mice.

TL;DR: LPP1 is an analgesic and anticonvulsant compound which has antioxidant properties in vitro and whether the antioxidant activity and the receptor profiling demonstrated in vitro can be confirmed for its metabolite(s) that are formed in vivo is investigated.
Journal ArticleDOI

Support Vector Machine for soft fault location in electrical circuits

TL;DR: The numerical results of recognition of faulty elements in two different structures of electrical filters are presented and discussed and the proposed solution is suited for real time applications for fault location in electrical circuits.