In melanoma, the landscape of somatic mutations and gene copy number changes has been explored [ 1– 3], and the understanding of surrounding immunological cells has led to the development of new treatment options [ 4, 5].
Main drivers of wetland conversion for agricultural production in Sub-Saharan Africa (SSA) and those influencing its land use change have been explored in the past.
The minimal detectable change (MDC) and the minimal clinically important changes (MCIC) have been explored for nonspecific low back pain patients and are similar across different cultural settings.
In this regard, the detection of other cancer-associated aberrations, including single nucleotide mutation [38], [39], translocation [40], chromosome copy aberrations [41], [42], and methylation changes [43], have been explored.
Based on an integrated approach of measurements for volume change microvoid formation morphology static phase characteristics for styrene/UP/LPA systems at 25°C, the mechanism of shrinkage control in UP resins containing LPA during cure and factors which affect overall volume change after cure have been explored.
Recently, model-based techniques, with and without process compensation (i.e., the ability to directly adjust controller gains given known changes in process parameters), have been explored.
For this purpose, possible causes of a change in tourist behaviour have been explored, mainly by examining the proliferation of ICTs as well as the phenomenon of experiential travel.
Consequently, a critical factor in such interpretation is the relation between sampling interval and rates of antibody change, both of which have been explored in the present analysis.
Whilst the biochemical differences between cells grown in 2D and 3D culture have been explored, the changes on the electrophysiological properties of the cells have not.
In recent years, glycosylation changes in disease symptoms and development have been explored intensively.
Although novel ideas about the role of fire in shaping global vegetation patterns [19] and how fire frequency might change in the future [15] have been explored with DGVMs, the simplified approach to simulating fire in many DGVMs has, as yet, limited their utility in understanding current patterns of fire around the world.
