Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

A research team introduces a hierarchical Bayesian spatial approach that integrates UAV and terrestrial LiDAR data to estimate AGB of individual trees in natural secondary forests of northeastern ...

The hierarchical flow for clock domain crossing (CDC) and reset domain crossing (RDC) is a methodology used in the verification of large, complex digital integrated circuits. It’s a divide-and-conquer ...

Introduction: Despite its endemic status and socioeconomic impacts, the spatial-temporal variation in rabies risk and its underlying determinants in Kazakhstan animal populations remain poorly ...

Correspondence to Dr Eva YN Yuen, School of Nursing and Midwifery, Institute for Health Transformation, Deakin University, Burwood, Victoria, Australia; e.yuen{at}deakin.edu.au Objectives Caregivers ...

Restrictive eating behaviors among patients with functional bowel disorders should be routinely assessed. Avoidant/restrictive eating occurs more frequently among individuals with bowel symptoms ...

This important study utilizes behavioral data and computational modeling to show that spatial properties of visual attention affect human planning. The methodology and statistical analyses are solid, ...

Spatial attention shapes task representations. (a) Schematic of the maze navigation task. Participants fixated at the start of each trial, after which a maze was presented, which they were asked to ...

The hierarchical reasoning model (HRM) system is modeled on the way the human brain processes complex information, and it outperformed leading LLMs in a notoriously hard-to-beat benchmark. When you ...

1 Department of Cardiology, The Second Xiangya Hospital, Central South University, Changsha, China 2 Clinical Nursing Teaching and Research Section, Second Xiangya Hospital, Central South University, ...