Functional data analysis is typically conducted within the L²-Hilbert space framework. There is by now a fully developed statistical toolbox allowing for the principled application of the functional ...

In the rapidly evolving field of drug discovery, single-cell analysis has become an invaluable tool for understanding cellular heterogeneity and molecular pathways. However, traditional single-cell ...

Objective To identify the optimal dose and type of physical activity to improve functional capacity and reduce adverse events in acutely hospitalised older adults. Design Systematic review and ...

Microglia — the resident immune cells of the central nervous system — have a crucial role to play in the control of tissue response to pathological or inflammatory insults or in the regulation of ...

Objective To investigate the prognostic capacity of individual hop tests, hop test batteries and other unilateral functional performance tests following anterior cruciate ligament (ACL) injury. Design ...

Gap analysis describes differences between required and actual systems. You can use it to analyze both computer systems and other business functions. Functional gap analysis characterizes the ...

For some very simple circuit, a two-pole RC lowpass filter in this case, we can very easily derive the algebraic transfer function and look at the circuit’s gain and phase properties. An examination ...

Isotopic analysis primarily involves the separation of isotopes based on the significant differences in mass. The method is effective for identifying the isotopic signature within the inorganic and ...

Functional analysis has a long history in psychology. Originally borrowed from mathematics (Ponte, 1992), it is the central concept in behavior analysis, the perspective on psychology created by B. F.