Research works

Dispatch or Hold? An Inverse Optimization and Reinforcement Learning Approach for Multiobjective On-Demand Delivery

In large-scale on-demand food delivery systems, dynamic order dispatching needs to balance immediate dispatch and order holding amid competing objectives, including delivery efficiency, service timeliness, and courier utilization. Holding certain orders for future consolidation m...

Characterizing the impact of incorporating spatially aggregated human mobility data into infectious disease models

Abstract Models of infectious disease dynamics should align the spatial scale of mobility data to the scale of travel relevant to infer disease introduction events and subsequent local transmission. Despite this, the biases of spatially aggregating mobility data, which are more c...

Effect of alpha-lipoic acid on atrial fibrillation and biomarkers of myocardial injury in patients undergoing coronary artery bypass surgery: study protocol of a randomized, double-blind, placebo-controlled clinical trial

<title>Abstract</title> <bold>Background</bold> : Coronary artery bypass grafting (CABG) is associated with several postoperative complications, notably atrial fibrillation (AF), which may arise due to myocardial reperfusion following ischemia and the resulting inflammatory respo...

Quasinormal modes of a charged spherically symmetric black hole in bumblebee gravity

Abstract Lorentz symmetry may be violated at the Planck scale. In the bumblebee model, a vector field acquires a nonzero vacuum expectation value, spontaneously breaking Lorentz symmetry. We study quasinormal modes of a charged spherically symmetric black hole in this framework,...

A global dataset of forest disturbance regimes derived from satellite biomass observations

Abstract. Forests play a central role in the global carbon cycle by serving as critical carbon sinks for atmospheric CO2. Yet, the stability and continued capacity of these sinks are increasingly threatened by a growing number of disturbances. Accurately representing the stochast...

Nonparametric estimation of the jump rate in mean field interacting systems of neurons

We consider finite systems of $N$ interacting neurons described by non-linear Hawkes processes in a mean field frame. Neurons are described by their membrane potential. They spike randomly, at a rate depending on their potential. In between successive spikes, their membrane poten...

A note on multivariate diam-mean equicontinuity and frequent stability

Abstract Let <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" overflow="scroll"> <mml:mrow> <mml:mo stretchy="false">(</mml:mo> <mml:mi>X</mml:mi> <mml:mo>,</mml:mo> <mml:mi>G</mml:mi> <mml:mo stretchy="false">)</mml:mo> </mml:mrow> </mml:math> be a topological dynamical...

Locality in Residuated-Lattice Structures

Many-valued models generalise the structures from classical model theory by defining truth values for a model with an arbitrary algebra. Just as algebraic varieties provide semantics for many non-classical propositional logics, models defined over algebras in a variety provide th...

Unitary quantum matter-bounce in a universe with a positive cosmological constant

Abstract We analyze the Wheeler-DeWitt quantization of a spatially flat Friedmann–Lemaïtre–Robertson–Walker universe containing pressureless dust and a positive cosmological constant ( $$\Lambda &gt; 0$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mi...

Geometry of essential matrix ranges and the Smith–Ward problem for operator systems

Abstract A ‐tuple of bounded linear selfadjoint operators acting on an infinite‐dimensional separable Hilbert space is said to have the Smith–Ward property if the identity map of the image of the operator system in the Calkin algebra has a completely positive lift. In this paper,...

Regime Shifts and Transformations in Social-Ecological Systems: Advancing Critical Frontiers for Safe and Just Futures

Current research challenges in sustainability science require us to consider nonlinear changes—shifts that do not happen gradually but can be sudden and difficult to predict. Central questions are therefore how we can prevent harmful shifts, promote desirable ones, and better ant...

Retail Electricity Costs and Emissions Incentives Are Misaligned for Commercial and Industrial Power Consumers

Abstract Electrification is contributing to substantial growth in U.S. commercial and industrial loads, but the cost and Scope 2 carbon emission implications of this load growth are opaque for both power consumers and utilities. We present a comprehensive spatiotemporal data set...

Centered‐Innovation MA for Bayesian Dirichlet ARMA: Theoretical Equivalence and an Application to Bank‐Asset Shares

ABSTRACT We study a minimal change to an observation‐driven Bayesian Dirichlet ARMA (B–DARMA) for compositional time series: replace the raw additive log‐ratio (ALR) residual in the moving‐average block with a centered innovation that subtracts the Dirichlet conditional ALR mean,...

Conformal network link prediction with false discovery rate control under unstructured missingness

We propose a new method for predicting multiple missing links in partially observed networks while controlling the false discovery rate (FDR), a largely unresolved challenge in network analysis. The main difficulty lies in handling complex dependencies and unknown missing pattern...

Analysis and experiments of the dissipative Twistcar: direction reversal and asymptotic approximations

Abstract Underactuated wheeled vehicles are commonly studied as nonholonomic systems with periodic actuation. Twistcar is a classical example inspired by a riding toy, which has been analyzed using a planar model of a dynamical system with nonholonomic constraints. Most of the pr...

Strong Lead‐Free Bioinspired Piezoceramics for Durable Energy Transducers

ABSTRACT Durable, high‐performance, and environmentally friendly lead‐free piezoceramics are essential for next‐generation sustainable energy transducers and electromechanical systems. However, piezoceramics are mechanically weak, which negatively impacts their working conditions...

Unlocking Scalable Ligand Residence Time Predictions with Koffee Unbinding Kinetics Simulations

A great number of drug discovery programs fail due to poor in vivo efficacy and ADMET liabilities. On- and off-target ligand residence times can act as important drivers of these problems. While modern experimental techniques have made measuring compound kinetics data more routin...

Practitioner psychologists’ experiences of delivering a cognitive behavioural therapy informed crisis intervention for psychosis in inpatient settings: a mixed methods investigation within the CRISIS study

Abstract Objectives Cognitive behaviour therapy for psychosis (CBTp) should be delivered in psychiatric inpatient settings, yet little is known about therapists’ perspectives on delivering it. This study examined therapists’ perspectives on delivering a crisis-focused CBTp-inform...

Constructing Jacobians of rank 1

Abstract Let 𝐾 be a number field, let g ≥ 1 g\geq 1 be an integer and let f ⁢ ( x ) = ( x − a 1 ) ⁢ ⋯ ⁢ ( x − a 2 ⁢ g + 1 ) ∈ O K ⁢ [ x ] see text f(x)=(x-a_{1})\cdots(x-a_{2g+1})\in O_{K}[x] be a polynomial that splits into 2 ⁢ g + 1 2g+1 distinct linear factors. Write 𝐶 for the...

The Star Formation History and Evolution of the Ultra-Diffuse M81 Satellite F8D1

Abstract We present deep Hubble Space Telescope (HST) imaging of one of the nearest ultra-diffuse galaxies (UDGs) outside of the Local Group: F8D1, a satellite of M81 known to be tidally disrupting. UDGs are an enigmatic and diverse population, with evolutionary pathways ranging...