We report on the development of a monitoring test for recurrent breast cancer, using
metabolite-profiling methods. Using a combination of nuclear magnetic resonance (NMR) …

The Ising model has received significant attention in network psychometrics during the past
decade. A popular estimation procedure is IsingFit, which uses nodewise l 1-regularized …

Cloud-to-ground lightning data from the Southern Africa Lightning Detection Network and
numerical weather prediction model parameters from the Unified Model are used to develop …

Variable or feature selection is one of the most important steps in model specification.
Especially in the case of medical-decision making, the direct use of a medical database …

Amino acids play essential roles in both metabolism and the proteome. Many studies have
profiled free amino acids (FAAs) or proteins; however, few have connected the …

Background Alzheimer's disease is a multifactorial disorder that may be diagnosed earlier
using a combination of tests rather than any single test. Search algorithms and optimization …

Introduction 18 F-fluorodeoxyglucose positron emission tomography (FDG-PET) can reveal
the metabolic activity of malignant tumors. Recent advances gained from molecular studies …

Identifying the vulnerability level of an area to soil erosion, particularly gully erosion, is key to
the development of an efficient management strategy for policymakers. While efforts into …

The paper presents some techniques used to determine optimal values for the parameters
model. The search methods used in our paper are: Conventional Grid Search, Randomized …

Most researchers have estimated the edge weights for relative importance networks using a
well-established measure of general dominance for multiple regression. This approach has …