The Ties That Rhyme: Duality in Symbolic and Structural Networks of Grime Music
ABSTRACT Do birds of a feather really sing together? Musicians face two competing pressures in the pursuit of success: conforming to genre norms to meet audience expectations and distinguishing themselves to attract the attention of listeners. These opposing logics may shape how artists choose their collaborators.
Tom R. Leppard, Andrew P. Davis
wiley +1 more source
Multipath Credibility Selection for Robust UWB Angle-of-Arrival Estimation in Narrow Underground Corridors. [PDF]
Li J +6 more
europepmc +1 more source
How much are you willing to pay to avoid lockdowns? Evidence from the real estate market
Abstract In response to the COVID‐19 pandemic, numerous countries implemented lockdowns. In Victoria, Australia, a unique two‐tier system was employed, segregating areas with a Ring of Steel boundary and imposing additional restrictions within. This study focuses on the impact of lockdowns on housing prices and rents, exploring whether people are ...
Jian Liang, Chyi Lin Lee, Qiang Li
wiley +1 more source
Hippocampal-Prefrontal Communication Subspaces Align with Behavioral and Network Patterns in a Spatial Memory Task. [PDF]
Young RA, Shin JD, Guo Z, Jadhav SP.
europepmc +1 more source
Place Matters at Work: A Systematic Review of Workplace Attachment and Environmental Factors
ABSTRACT The topic of workplace attachment has garnered significant attention in academic studies since the early 2010s. However, due to its inherently interdisciplinary scope, research on workplace attachment remains notably fragmented and lacks cohesion, resulting in numerous unresolved questions.
Rubinia Celeste Bonfanti +3 more
wiley +1 more source
Near-Field Source Localization in Nonuniform Noise: An Efficient Symmetric Matrix Factorization-Based Approach. [PDF]
Song W, He Z, Sun G, Feng S.
europepmc +1 more source
Unveiling the factors of aesthetic preferences with explainable AI
Abstract The allure of aesthetic appeal in images captivates our senses, yet the underlying intricacies of aesthetic preferences remain elusive. In this study, we pioneer a novel perspective by utilizing several different machine learning (ML) models that focus on aesthetic attributes known to influence preferences.
Derya Soydaner, Johan Wagemans
wiley +1 more source
We present an interactive visual analysis tool to study how patient‐specific tissue properties influence radiofrequency ablation outcomes. Using a deep‐learning surrogate model, we predict ablation volumes for unseen parameter settings with accuracy superior to interpolation, supporting improved treatment planning. Abstract Radiofrequency (RF) ablation
R. Sabbagh Gol +7 more
wiley +1 more source
Accelerating SCF Orbital Optimization with S-GEK/RVO: Efficient Subspace Compression and Robust Convergence. [PDF]
Fdez Galván I, Weßling D, Lindh R.
europepmc +1 more source
The Legacy of Policy Inaction in Climate‐Growth Models
ABSTRACT To better understand the structure and core mechanisms of a broad class of climate‐growth models, we study a simplified version of the dynamic integrated model of climate and the economy (DICE) through the lens of growth theory. We analytically show that this model features a continuum of saddle‐point stable steady states.
Thomas Steger, Timo Trimborn
wiley +1 more source

