Results 161 to 170 of about 10,579,206 (300)
The estimation of Human Capital in structural models with flexible specification [PDF]
The present paper focuses on statistical models for estimating Human Capital (HC) at disaggregated level (worker, household, graduates). The more recent literature on HC as a latent variable states that HC can be reasonably considered a broader multi ...
Pietro Giorgio Lovaglio +1 more
core
Journal of Eating DisordersBackground Affect regulation models suggest high negative and low positive affect may drive binge eating and purging in bulimia nervosa (BN). While ecological momentary assessment (EMA) studies often support these theories, inconsistent outcomes in ...
Kelvin O. Lim +6 more
doaj +1 more source
Relational Structural Causal Models
An artificial intelligence must have a model of its environment that is causal, supporting reasoning about interventions and counterfactuals, and also combinatorial, supporting generalization to unseen combinations of objects. In this work, we formally study when and how such a model can be learned.
Ejaz, Adiba, Bareinboim, Elias
openaire +2 more sources
Molecular Oncology, EarlyView.Incomplete microwave ablation (iMWA) of liver cancer triggers a biphasic progression in residual tumors. At Day 3, the microenvironment is characterized by acute inflammatory responses and extracellular matrix (ECM) remodeling. By Day 14, a profound shift occurs toward oncogenic signal transduction and immunosuppression, marked by macrophage ...
Yu Liu +9 more
wiley +1 more source
Modeling Latent Selection with Structural Causal Models [PDF]
Selection bias is ubiquitous in real-world data, and can lead to misleading results if not dealt with properly. We introduce a conditioning operation on Structural Causal Models (SCMs) to model latent selection from a causal perspective. We show that the
Zoeter, Onno +2 more
core
On the Structural Causal Model
Japanese Journal of Biometrics, 2012 Kuroki, Manabu, Kobayashi, Fumiaki
openaire +2 more sources
Extremes of structural causal models
The behavior of extreme observations is well-understood for time series or spatial data, but little is known if the data generating process is a structural causal model (SCM). We study the behavior of extremes in this model class, both for the observational distribution and under extremal interventions. We show that under suitable regularity conditions
Engelke, Sebastian +2 more
openaire +3 more sources
Molecular Oncology, EarlyView.The kinase SRPK1 directly interacts with the protein TOPBP1 and regulates the pre‐mRNA splicing of WIZ thereby contributing to the activation of the ATR/CHK1 replicative checkpoint in response to replicative stress. This allows cancer cells' genomic stability and survival.
Amani Shreim +17 more
wiley +1 more source
Mutant p53R273H disrupts PDPK1 homodimerization and contributes to PDPK1 activation
Molecular Oncology, EarlyView.How mutant p53R273H drives AKT signaling is unclear. We show that p53R273H, but not wild‐type, directly binds PDPK1 via a mutation‐dependent conformational change. This interaction disrupts inhibitory PDPK1 homodimerization and enhances AKT phosphorylation.
Mei Chee Lim +11 more
wiley +1 more source
Causal Depth contra Humean Empiricism: Aspects of a Scientific Realist Approach to Explanation [PDF]
The purpose of this note is to clarify how the idea of "causal depth" can play a role in finding the more "approximately true" explanation through causal comparisons.
Khan, Haider
core