Research works
The research papers we track — the newest first. Works with a plain-language summary link to it.
140262 work(s)
- Society & EconomicsOpen access
Abstract Fractal dimension can measure the complexity of a branching structure. Botanical trees for example have more sparse branching in poor environments, and more complex branching in good environments. We hypothesize that the branching structures of online conversations can a...
- BiologyOpen access
Abstract The actin-binding protein synaptopodin (Synpo) regulates the cytoskeleton and organization of endoplasmic reticulum, thereby amplifying intracellular Ca 2+ signaling. Knockout (KO) mouse models have been used to study the role of Synpo in kidney and brain functions, wher...
- Health & MedicineOpen access
Abstract Background Postoperative pain significantly impacts recovery and healthcare costs. Supraclavicular brachial plexus block (SCBPB) offers effective regional anesthesia but has limited duration. However, dexamethasone may enhance and prolong analgesia when used as an adjunc...
- AI & ComputingOpen access
Bourgain’s Condition, Sticky Kakeya, and New Examples
Abstract We prove that in all dimensions at least 3 and for any Hörmander-type phase function satisfying Bourgain’s condition, the sticky case of the corresponding curved Kakeya conjecture reduces to the sticky case of the classical Kakeya conjecture. This supports a conjecture o...
- BiologyOpen access
Robust circular cluster-based statistics for respiration-brain coupling
The rapidly developing research field of brain-body neuroscience faces methodological challenges, as analysts continue to develop new analysis strategies for robust statistics in the absence of established best practices. This quest for robust statistics is further complicated by...
- Health & MedicineOpen access
Abstract Background Delayed onset of lactogenesis II or delayed secretory activation defined as > 72 hours postpartum, is a recognized barrier to successful breastfeeding initiation and duration. Prenatal identification and screening for risk factors associated with delayed secre...
- AI & ComputingOpen access
Gradient-based active learning with Gaussian processes for global sensitivity analysis.
Global sensitivity analysis of complex numerical simulators is often limited by the small number of model evaluations that can be afforded. In such settings, surrogate models built from a limited set of simulations can substantially reduce the computational burden, provided that...
- Health & MedicineOpen access
Abstract Background Enfortumab vedotin (EV) is an antibody–drug conjugate used to treat advanced urothelial carcinoma. Although EV therapy is effective, adverse events—particularly skin disorders—pose a challenge to optimal treatment. Previous reports suggest that body mass index...
- AI & ComputingOpen access
Abstract We propose SurvSurf, a neural-network-based survival model for direct, simultaneous probabilistic prediction of first-hitting times of sequential events from baseline. Unlike existing models, SurvSurf is theoretically guaranteed to never violate the monotonic relationshi...
- BiologyOpen access
Proton flows, proton gradients and subcellular architecture in biological energy conversion
Hydrogen cations, or protons, provide a medium by which energy is stored in biological systems and converted for use in metabolic transformations. Such pre-eminence relies on the interplay between interfacial and bulk or chemical transformations, according to mechanisms that are...
- AI & ComputingOpen access
Non-compact spaces of invariant measures
We study a compactification of the space of invariant probability measures for a transitive countable Markov shift. We prove that it is affine homeomorphic to the Poulsen simplex. Furthermore, we establish that, depending on a combinatorial property of the shift space, the compac...
- Health & MedicineOpen access
Abstract Background : Automated segmentation of the left and right ventricles (LV) and (RV) in cine cardiac MRI (CMR) underpins reliable volumetry and mass estimation. However, papillary muscles and trabeculae (PM/T) introduce clinically meaningful variability and exacerbate cros...
- BiologyOpen access
ABSTRACT Amplicon sequencing investigations of surface microbiota in food facilities often report the relative abundance of bacteria and fungi. However, physiological differences among cell types can result in variable cell recovery and DNA yields, thereby skewing relative abunda...
- Climate & EnvironmentOpen access
A bstract Acacia mangium Willd. is one of the most widely planted fast-growing tropical species, yet it remains poorly documented in Central Africa, particularly in terms of biomass accumulation. This knowledge gap, combined with the lack of robust allometric equations, limits th...
- Climate & EnvironmentOpen access
Abstract The expansion of impermeable surfaces has made urban regions more vulnerable to flooding, while water resources are depleting due to rising urbanization, population growth, and water usage. To mitigate water demand and prevent flood risks, it is imperative to utilize alt...
- Physics & SpaceOpen access
ABSTRACT In this contribution, we focus on the Reynolds‐averaged Navier‐Stokes (RANS) models and their exploitation to build reliable reduced‐order models to further accelerate predictions for real‐time applications and many‐query scenarios. Specifically, we investigate how machi...
- AI & ComputingOpen access
High-capacity associative memory in a quantum-optical spin glass
The Hopfield neural network stores memories using all-to-all-coupled spins and recalls those memories through equilibrium dynamics. Storing too many hampers recall because frustration causes an exponential number of spurious patterns to arise as the network becomes a spin glass....
- AI & ComputingOpen access
Quantum Max d-Cut via qudit swap operators
Quantum Max Cut (QMC) problem for systems of qubits is an example of a 2-local Hamiltonian problem, and a prominent paradigm in computational complexity theory. This paper investigates the algebraic structure of a higher-dimensional analog of the QMC problem for systems of qudits...
- Physics & SpaceOpen access
Towards real-time surrogate-free Bayesian inversion for neutron reflectometry
Abstract Neutron reflectometry (NR) is a key enabling technology for many areas of scientific development. Although the forward reflectivity model is well-known, inferring the physical properties of a sample from NR data requires the solution of an inverse problem. Increasingly,...
- Engineering & TechnologyOpen access
K-MARVEL: K-Mer-based antimicrobial resistance virtual exploration lab
Abstract The rapid global spread of antimicrobial resistance (AMR) necessitates a new generation of computational tools for its surveillance. While next-generation sequencing offers unprecedented insight into the resistome, current methods face a trade-off: assembly-based approac...