Interpretable deep learning for functional MRI-based auxiliary diagnosis of major depressive disorder with suicidal ideation. [PDF]
Li X, Chen X, Du X, Guo S, Ma J, Pang T.
europepmc +1 more source
Connectivity and Selective Rural Migration
ABSTRACT How does infrastructure shape rural development? Using household panel data from a nationally representative sample of Chinese villages, matched to high‐resolution highway maps, we find that road expansion between 2000 and 2015 operates mainly through reallocation, with less productive farmers scaling down or exiting and more productive ...
Lin Ma +3 more
wiley +1 more source
Determining the N-Representability of a Reduced Density Matrix via Unitary Evolution and Stochastic Sampling. [PDF]
Massaccesi GE +8 more
europepmc +1 more source
On Spatial Point Processes With Composition‐Valued Marks
Summary Methods for marked spatial point processes with scalar marks have seen extensive development in recent years. While the impressive progress in data collection and storage capacities has yielded an immense increase in spatial point process data with highly challenging non‐scalar marks, methods for their analysis are not equally well developed ...
Matthias Eckardt +2 more
wiley +1 more source
The utility of customised tissue probability maps and templates for patients with idiopathic normal pressure hydrocephalus: a computational anatomy toolbox (CAT12) study. [PDF]
Kanno S +19 more
europepmc +1 more source
A Non‐Parametric Framework for Correlation Functions on Product Metric Spaces
Summary We propose a non‐parametric framework for analysing data defined over products of metric spaces, a versatile class encountered in various fields. This framework accommodates non‐stationarity and seasonality and is applicable to both local and global domains, such as the Earth's surface, as well as domains evolving over linear time or time ...
Pier Giovanni Bissiri +3 more
wiley +1 more source
Deep learning-based prediction of PFAS toxicity in zebrafish. [PDF]
Ramasamy K, Nallasamy V.
europepmc +1 more source
Goodness‐of‐Fit Tests for Positive Quadrant Dependence
Summary When two random variables are positive quadrant dependent (PQD), they are more likely to assume small (or large) values simultaneously compared with when the random variables are independent. This dependence structure is of interest in many areas, including finance, actuarial science and engineering.
Chuan‐Fa Tang, Joshua M. Tebbs
wiley +1 more source
Improved risk prediction via cross-domain calibration in a retrospective case-control study. [PDF]
Zhao G, Ma Y, Cao Y.
europepmc +1 more source
A spectral analysis extension to DEMATEL for strategic leverage points identification
Abstract Efforts to intervene in complex systems often emphasize influential factors, yet system behavior is equally shaped by the relationships among them. Methods such as Decision‐Making Trial and Evaluation Laboratory (DEMATEL) map causal structures but remain descriptive and do not identify which relationships provide the greatest leverage for ...
Pavlos Delias, Kerasia Kalkitsa
wiley +1 more source

