This study aims to describe types, functions, and strategies of therapeutic language acts in Hammers clinical interventions on autistic children.It employed the qualitative approach using the clinical pragmatic design.The findings are as follows.First, clinical therapeutic interventions on autistic children use illocutionary acts in the forms of di
Spot profile analysis and lifetime mapping in ultrafast electron diffraction: Lattice excitation of self-organized Ge nanostructures on Si(001)
Ultrafast high energy electron diffraction in reflection geometry is employed to study the structural dynamics of self-organized Germanium hut-, dome-, and relaxed clusters on Si(001) upon femtosecond laser excitation.Utilizing the difference in size and strain state the response of hut- and dome clusters EVERYONE LOTION COCONUT can be distinguishe
Machine Learning Algorithm to Predict CO2 Using a Cement Manufacturing Historic Production Variables Dataset: A Case Study at Union Bridge Plant, Heidelberg Materials, Maryland
This study uses machine learning methods to model different stages of the calcination process in cement, with the goal of improving knowledge of the generation of CO2 during cement manufacturing.Calcination Compression Shorts is necessary to determine the clinker quality, energy needs, and CO2 emissions in a cement-producing facility.Due to the int