ABSTRACT Most research questions in agricultural and applied economics are causal in nature: they study how changes in one or more variables (such as policies, prices or weather) affect one or more other variables (e.g., income, crop yields or pollution).
Arne Henningsen +6 more
wiley +1 more source
QSPR modeling of some COVID-19 drugs using neighborhood eccentricity-based topological indices: A comparative analysis. [PDF]
Kara Y +4 more
europepmc +1 more source
PUMAA: Establishing a protocol for utilizing machine learning in forensic anthropological analyses
Abstract The use of machine learning (ML) models in forensic anthropology (FA) has increased in the last half decade; however, there is a lack of a standardized protocol on how to curate, use, and assess ML models. We introduce PUMAA (A Protocol for Utilizing Machine Learning in Forensic Anthropological Analyses), which includes a flowchart and a ...
Eman Faisal, Tracy L. Rogers
wiley +1 more source
On Hodge polynomials for nonalgebraic complex manifolds. [PDF]
Katzarkov L +3 more
europepmc +1 more source
Abstract Three‐quarters of US prisons offer vocational training programs, which aim to place trainees in middle‐skills jobs in specific occupational sectors post‐release. These middle‐skills jobs may more effectively reduce recidivism than the jobs that normally characterize the labor market experience of the formerly incarcerated, yet whether ...
Britte van Tiem
wiley +1 more source
Ruijsenaars wavefunctions as modular group matrix coefficients. [PDF]
Di Francesco P +4 more
europepmc +1 more source
Three-torsion subgroups and wild conductor exponents of plane quartics. [PDF]
Lupoian E, Rawson J.
europepmc +1 more source
Novel solitons in the (2+1)-dimensional Heisenberg spin chain via generalized conformable derivatives. [PDF]
Alam BE +2 more
europepmc +1 more source
Molecular Characterization of Three Classes of Bow-Tie-Shaped Graphene Nanoflakes by Polynomials as Alternative for Their Computed Energies and Spectral Patterns. [PDF]
Prabhu S +4 more
europepmc +1 more source
LPGGNet: Learning from Local-Partition-Global Graph Representations for Motor Imagery EEG Recognition. [PDF]
Zhang N, Jian H, Li X, Jiang G, Tang X.
europepmc +1 more source

