Natural esters have become of interest for the industry in recent years as dielectric liquids power transformers, and many studies are focused on their chemical properties influence degradation solid insulation due to aging. However, very little is known about impact evolution mechanical paper insulation, which acknowledged a considerable overall performance reliability during operating life tr...

PURPOSE To describe a rare case of blepharochalasis that progressed from unilateral to bilateral involvement at five years after disease onset. CASE REPORT A previously healthy five-year-old white boy presented to our hospital for a screening visual examination. He was found to have a 2-mm right eyelid ptosis with crepe-like skin and subcutaneous telangiectatic vessels. His mother noted that ...

The Ebony series of crepe myrtle ( Lagerstroemia indica ) cultivars includes several (Ebony Embers, Fire, Flame, Glow, and Ivory), marketed today under the Black Diamond ® brand. These are relatively new unique for their dark foliage, but with little information concerning performance in north-central Texas, especially low-input landscapes. study was conducted from 2014 to 2017 at three locatio...

Costus speciosus (J. Koenig) Sm., commonly known as crepe ginger, is primarily used an ornamental plant worldwide. The aim of this research was to study the phytoconstituents locally collected C. samples and test their antimicrobial effect against selected bacterial strains. Phytochemical analysis showed presence alkaloids, flavonoids, steroids, phenolic compounds, tannins, glycosides, cardiac ...

Abstract The dielectric paper of power transformers is subjected to ageing caused by high temperatures and chemical reactions in the oil. electromagnetic forces that affect conductor can cause breakage even end useful life transformer. To improve understanding those phenomena, a continuously transposed with four layers (plain Kraft crepe papers) was impregnated naphthenic oil aged during differ...

In this article, a novel pitch determination algorithm based on harmonic differences method (HDM) is proposed. Most of the algorithms today rely autocorrelation, cepstrum, and lastly convolutional neural networks, they have some limitations (small datasets, wideband or narrowband, musical sounds, temporal smoothing, etc.), accuracy, speed problems. There are very rare works exploiting spacing b...