Thermal errors account for more than 40% of the machining errors in CNC machine tools, and even reach 70% in precision and ultra-precision machine tools.One approach to reducing thermal errors is to build thermal error prediction models by monitoring the temperature field of machine tools with the data-driven modeling approaches.Usually the data-dr
In the present study, lysozyme was purified by the following multi-step methodology: salt (ammonium sulfate) precipitation, dialysis, and ultrafiltration.The lysozyme potential was measured by enzymatic activity after each purification step.However, after ultrafiltration, the resulting material Navajo pearl was considered extra purified.It was conc
Hasse Melbye1, Elin Drivenes1, Lene G Dalbak2, Tone Leinan1, Svein Høegh-Henrichsen2, Plush Toys Anders Østrem21General Practice Research Unit, Department of Community Medicine, University of Tromsø, 2General Practice Research Unit, Department of Health and Society, University of Oslo, NorwayAims: To describe sympto
Abstract: An absentee land is one of the pieces of land for a Land Reform Object Tanah needed for distribution.Data of lands derived from absentee lands have not been available up to the present moment.The government needs to publish a policy to identify and enlist the above mentioned absentee lands.Those lands can be identified by Maps on Land Own
Navajo pearl In this paper, a deep learning technique for tumor detection in a microwave tomography framework is proposed.Providing an easy and effective imaging technique for breast cancer detection is one of the main focuses for biomedical researchers.Recently, microwave tomography gained a great attention due to its ability to reconstruct the el