University of Notre Dame

Testing Group Differences in Nonlinear Growth Curve Modeling with Penalized Spline

Longitudinal data analysis in social and behavioral sciences often assumes a linear change over time, but human behavior is complex and frequently exhibits nonlinear patterns. Regression spline is a popular approach in machine learning to model nonlinear trajectories. While tradi...

RESULTS ON COLORED TREE PROPERTIES

Abstract In this article, we introduce novel variations on several well-known model-theoretic tree properties (TPs), and prove several equivalences to known properties. Motivated by the study of generalized indiscernibles, we introduce the notion of the I $\mathcal {I}$ script up...

Anion‐Driven Solvent Degradation Networks in High‐Concentration Battery Electrolytes

ABSTRACT High‐concentration electrolytes (HCEs) are investigated for their ability to form robust, inorganic‐rich solid electrolyte interphases (SEI). While the SEI composition in HCEs differs from that in dilute electrolytes, the specific anion‐mediated reaction network driving...

Phospholipase Fluorogenic Probes and Molecular Determinants of Cyclic Guanosine Monophosphate–Adenosine Monophosphate Binding to Cyclic Oligonucleotide-Based Antiphage Signaling System CapV

Cyclic oligonucleotide-based antiphage signaling systems (CBASS) protect bacteria from bacteriophage infection by producing cyclic nucleotide second messengers that activate downstream effector proteins. Cyclic guanosine monophosphate-adenosine monophosphate (cGAMP)-activated pho...

Limitations of socio-economic rights during armed conflicts: The “maximalist” perspective

Abstract This article proposes a “maximalist”, vulnerability-based perspective as the appropriate lens through which limitations of socio-economic rights and the relevant obligations of States during armed conflicts and under conditions of scarcity should be assessed. It argues t...

Differential Impacts of Proxy Archives on Paleoclimate Reconstruction Performance

Abstract Reconstructing past climates is challenging because pre‐instrumental observations are geographically sparse and proxy records are noisy; data assimilation offers one approach to address these limitations. Although such reconstructions are now widespread, the extent to wh...

When does mental well-being matter for entrepreneurial income? The role of external objective resources from social contexts

Entrepreneurs’ mental well-being has increasingly captured the attention of both scholars and the broader public. Building on self-efficacy theory and conservation of resources (COR) theory, we examine how entrepreneurs’ mental well-being influences their income. We theorize that...

The association between COVID-19 pandemic-related birth plan changes and birth trauma symptoms in a New York City cohort

Abstract Background COVID-19-related changes to maternity care have frequently resulted in deviations from planned birth experiences. Discrepancies between expected and actual birth experiences are a risk factor for birth trauma. This study examined the associations between pande...

Exploring rehabilitation therapists’ knowledge and perspectives on the use of artificial intelligence and machine learning for persons post-stroke

Background The integration of artificial intelligence (AI) and machine learning (ML) within the clinical work of rehabilitation therapists in post stroke rehabilitation has the potential to transform their work performance, habits, and routines. The impact could potentially enhan...

In vitro activity and comparative efficacy of novel nitrofuran-containing ciprofloxacin analogs against bacterial pathogens including ciprofloxacin-resistant Staphylococcus aureus

Abstract The rapid rise of antimicrobial resistance, especially in Staphylococcus aureus , highlights the urgent need for improved antibacterial agents. In 2019 alone, AMR caused an estimated 1.27 million deaths and contributed to nearly 5 million more globally. Here, we present...

Predicting recovery outcomes following mild traumatic brain injury in an Australian community cohort: Results from the Concussion Recovery Study (CREST)

Background Most people recover well following mild traumatic brain injury (mTBI). However, some experience persisting post-concussion symptoms (PPCS) for months or years. Our aims were (i) to evaluate the presence and impact of PPCS on return to functional activities over a 12-mo...

Solvation structure and dynamics of choline chloride-based deep eutectic solvents with isomeric butanediol hydrogen bond donors

Choline chloride-based deep eutectic solvents (DESs) are being investigated as redox flow battery electrolytes, where solvent viscosity plays a central role in governing ionic mobility, mass transport, and pumping efficiency. In this combined experimental and computational study,...

AIMNet2-rxn: A machine-learned potential for generalized reaction modeling on a millions-of-pathways scale

Mechanistic modeling of chemical transformations offers a compelling basis for understanding reactivity and allows for prediction of reaction outcomes before attempting experiments. Despite progress in machine-learned interatomic potentials (MLIPs), we demonstrate that available...

Legal questioning of adolescent victims of minor sex trafficking versus sexual abuse.

OBJECTIVE: We compared court transcripts of adolescent victims' testimonies in minor sex trafficking and child sexual abuse criminal cases to understand how attorney questioning behavior may vary as a function of attorney type, case type, and victim age at trial. HYPOTHESES: We p...

Overcoming the mobility–reliability trade-off in BEOL-compatible In2O3-based FETs through synergistic doping and prolonged annealing

Oxide semiconductors field-effect transistors (OS FETs) capable of simultaneously delivering high mobility and excellent reliability are a key platform for high-performance circuits and memory modules in monolithic three-dimensional integrated circuits (M3D ICs). In this work, we...

Response of a turbulent boundary layer to a synthetic periodic large-scale structure

The dynamic response of a zero-pressure-gradient turbulent boundary layer (TBL) to a large-scale perturbation in the outer region was investigated experimentally. The baseline TBL had a moderate Reynolds number such that there were no naturally occurring energetic large-scale str...

Witnessing character: a feminist-Humean approach to virtue pedagogy

Purpose Contemporary character education often assumes teachers must possess definitional expertise about virtue and exemplify the virtues. This can leave educators hesitant to engage in character formation, particularly when reflecting on how social norms like gender affect stud...

The Qualitative Grounds of Quantitative Probability

Abstract What is the qualitative basis for deriving meaningful psychological information from probabilistic representations of confidence within decision theory? Conditions on two binary relations—a preference relation $$\succsim $$ ≿ and a comparative confidence relation $$\succ...

Covariance matrix completion via auxiliary information

Abstract Covariance matrix estimation is an important task in the analysis of multivariate data in disparate scientific fields. However, modern scientific data are often incomplete due to factors beyond the control of researchers, and traditional methods may only yield incomplete...

Investigating variability and uncertainty in upstream methane emissions intensity estimates of Western Canadian oil and gas production

Variabilities and uncertainties associated with different Canadian methane emissions inventories representing oil and gas (O&G) production impact the life cycle carbon intensities (CI) (i.e., amount of GHG emissions per unit of activity or output) of O&G end-use products. We pres...