Research works

A Non‐Isothermal Viscoplastic Framework for Assessing Shaft Resistance in Energy Geostructures

ABSTRACT This study presents a coupled thermo‐hydro‐mechanical (THM) num erical investigation of shaft resistance degradation in geothermal piles embedded in low‐permeability clays. A thermo‐viscoplastic constitutive model is developed to simulate the pile–soil interface behavior...

Humans in the Loop: The Next Frontier in the Credibility Revolution

Something is amiss in empirical economics. Despite the advances of the credibility revolution, published estimates tend to be inflated and overconfident. We argue that this stems from a weakness in the dominant econometric framework: treating the researcher like a calculator that...

Analysis of Eigenvalue Clustering Leads to Optimal Scaling in Numerical Radiative Transfer

ABSTRACT We consider a multidimensional polychromatic radiative transfer (RT) problem, accounting for scattering processes in a general form, that is, anisotropic (dipole) scattering with partial frequency redistribution. Given a discrete ordinates () discretization, we report th...

Universal Functions for Topological Correlators

Abstract We consider correlation functions of topologically twisted, $$\mathcal {N}=2$$ N = 2 supersymmetric Yang–Mills theory with gauge group $$\textrm{SU}(2)$$ SU ( 2 ) and $$N_f\le 3$$ N f ≤ 3 massive hypermultiplets in the fundamental representation. For a smooth, oriented,...

Mapping spatial colleague connectivity patterns from individual-level registry data to inform regional pandemic interventions

A concern in infectious disease modelling is how accurately population mixing is incorporated, as it shapes the type and frequency of contacts through which infection spreads, and consequently, estimated intervention effectiveness. Although synthesizing mixing patterns from diary...

Knowledge, Attitudes and Practices (KAP) on Dengue Fever in Burkina Faso: Findings from the national household survey in Burkina Faso

Abstract Background Dengue fever is an emerging public health concern in Burkina Faso, with increasing outbreaks and data gaps in population awareness. This study assessed knowledge, attitudes, and practices (KAP) related to dengue fever in all health regions of the country. Meth...

Ontology-Guided Neuro-Symbolic Inference: Grounding Language Models with Mathematical Domain Knowledge

Language models exhibit fundamental limitations---hallucination, brittleness, and lack of formal grounding---that are particularly problematic in high-stakes specialist fields requiring verifiable reasoning. I investigate whether formal domain ontologies can enhance language mode...

INPP5E interactome reveals novel connections to growth factor signaling

Abstract Primary cilia are sensory cell membrane protrusions whose malfunction causes diseases known as ciliopathies. Joubert syndrome (JBTS) is a rare recessive ciliopathy causing brain malformations and kidney cysts, among other manifestations. A key player in JBTS is INPP5E, a...

Causal Memory Gravity V: Continuum Limit and Emergent Quantum Dynamics from Discrete Planck Networks

Causal Memory Gravity V develops the conditional continuum-limit and emergent quantum-dynamics sector of the CMG/DPN framework. It identifies the assumptions under which Dynamic Planck Network dynamics can produce effective continuum fields, conformal geometry, wave equations, an...

Resolving systematic errors in sulfate source apportionment: a field-validated kinetic isotope fractionation framework

Abstract. Sulfates are critical constituents of atmospheric fine particulate matter (PM2.5) that significantly influence air quality and climate dynamics. While stable isotope fractionation analysis is a powerful tool for tracing atmospheric sulfate formation mechanisms, conventi...

Mean regression for (0, 1) responses via beta scale mixtures

Abstract To achieve greater flexibility for modelling heavy-tailed responses on the unit interval, a beta scale mixture (BSM) regression model is proposed. The conditional response is assigned a mean-parameterised beta distribution whose variability parameter is scaled by a mixin...

Taxation, legitimacy, and media discourse in Jordan

This study investigates how taxation is discursively constructed in Jordanian media as a contested domain of legitimacy, authority, and citizenship. Using qualitative Critical Discourse Analysis, it integrates a dialectical–relational and a socio-cognitive perspective to examine...

Full event interpretation with machine-learning-based particle-flow reconstruction in the CMS detector

Abstract The particle-flow (PF) algorithm constructs a global description of each particle collision by producing a comprehensive list of final-state particles, and is central to event reconstruction in the CMS experiment at the CERN LHC. The existing PF implementation relies on...

How to train your resistive network: Generalized equilibrium propagation and analytical learning

Machine learning is a powerful method of extracting meaning from data; unfortunately, current digital hardware is extremely energy-intensive. There is interest in an alternative analog computing implementation that could match the performance of traditional machine learning while...

Mass univariate aggregation methods for machine learning in neuroscience

Machine learning is a ubiquitous part of the modern neuroimaging toolkit, particularly for research aimed towards precision medicine goals of improving individual-level diagnosis and treatment. However, the high dimensionality of neuroimaging data poses significant challenges for...

Affect labeling down-regulates amygdala only in a dominant native language

A successful strategy to down-regulate emotions is to simply label them (e.g., saying “I’m sad” when feeling sad). It however remains unresolved which mechanism is responsible for the efficacy of this approach known as affect labeling. Here, we constrain the proposed mechanisms o...

Uriclarity program reduces perceived insufficient milk supply in early postpartum: randomized controlled trial

Abstract Background: Perceived insufficient milk supply (PIMS) is a common early postpartum concern; this study tested whether a brief predischarge program (Uriclarity) reduces PIMS in the early postpartum period. Methods: Parallel-group, superiority, single-blind randomized tria...

Impulsively Driven Fractional Relaxation: Exact Response, Scaling Laws, Frequency-Domain Signatures, and Memory-Induced Crossover Structures

We investigate periodically impulsive fractional relaxation as a minimal model of nonlocal dissipative dynamics under repeated external stimulation. The free relaxation law is classical, but the driven problem introduces an additional timescale whose competition with the intrinsi...

Integration of an anellovirus genome in the SKNO-1 acute myeloid leukemia cell line

ABSTRACT Anelloviruses are highly diverse, ubiquitous single-stranded DNA viruses whose replication, cellular reservoirs, and mechanisms of persistence remain poorly understood. Here, we identify and characterize a Alphatorquevirus homin 29 genome stably integrated into an rDNA l...

The Speed of Light and the Event Horizon as Simulability Limits: An Experiment-Theoretic Derivation of Relativity, Time Dilation, and Hawking Radiation

We offer an experiment-theoretic reinterpretation of Maxwell's equations and spacetime geometry using Le Cam's statistical decision theory. Physical theories are framed not as geometric axioms but as families of statistical experiments subject to operational simulability constrai...