Research works
The research papers we track — the newest first. Works with a plain-language summary link to it.
134149 work(s)
- Physics & SpaceOpen access
Stellar multiplicity alters the density structure of protoplanetary discs and thereby the initial conditions of planet formation. Yet, the interplay between companion-disc interactions and dust growth remains poorly understood. The goal of this work is to investigate to what exte...
- AI & ComputingOpen access
In the agent-memory literature we surveyed, provenance is primarily used to make agents trust retrieved context less: poisoning defenses, injection gating, watermarking, and transfer integrity all point in that direction. This paper asks the inverse question. When a harness deliv...
- Physics & SpaceOpen access
Unified Heat Kernel Chain from E8: Gravity, Inflation and Hawking Corrections
The 1-loop heat kernel of the 248 gauge bosons of E8 produces Seeley–DeWitt coefficients that organize the three observational pillars of the TTOE framework: a0 → cosmological constant (external input), a2 → Einstein–Hilbert with G_N = g*_Sak/M_UV² (derived, Sakharov route, g*_Sa...
- AI & ComputingOpen access
Practical Verifiable Multi-Key Searchable Encryption with Optimal Overhead
Multi-Key Searchable Encryption (MKSE) enables data owners to outsource their data to a cloud server, while supporting fine-grained data sharing with other authorized users. Existing most MKSE schemes can protect the date user’s search query privacy against collusion attacks betw...
- Health & MedicineOpen access
A retrospective analysis of bacterial pathogens in wounds in an equine hospital (2017–2022)
Summary Background Bacterial infections are a major cause of morbidity in horses, particularly in soft tissue wounds (STW) and surgical site infections (SSI). Rising antimicrobial resistance poses challenges for timely treatment. Knowledge of common pathogens and their resistance...
- Materials & EnergyOpen access
This work assesses the real-world performance and emission characteristics of a compression-ignition (CI) engine fuelled with a blend of conventional diesel and a bioethanol-derived higher-alcohol fuel (Catalyxx C4+), evaluated under the World Harmonized Light-Duty Vehicle Test C...
- AI & ComputingOpen access
Constraint Unlearnability in Overparameterized Neural Networks
We study whether overparameterized neural networks can learn to satisfy pointwise constraints without inductive bias. One might expect that a sufficiently expressive network would learn to respect such constraints. We prove that this is not the case. For overparameterized feedfor...
- Health & MedicineOpen access
Who Gets to Design Safety? Power, Hierarchy and Worker Voice in Construction Risk Management
The construction industry remains among the most dangerous occupations in the world and safety management in this industry remains hierarchical in nature, being designed by engineers, regulatory agencies, and site managers and not by those who actually face the highest risk of da...
- Climate & EnvironmentOpen access
To characterise the fracture network geometry of a fluid reservoir, fundamental parameters are used in a DFN simulation algorithm. However, evaluating the hydrodynamic behaviour of such rock bodies also requires apertures of individual fractures. Aperture is usually not treated a...
- AI & ComputingOpen access
Degraded tax forms and other legal-administrative documents require restoration methods that impose strict constraints on content fidelity. This paper presents a structure-aware restoration framework for degraded tax documents that combines geometric normalization, canonical temp...
- Health & MedicineOpen access
Background: Obesity, commonly defined by body mass index (BMI), promotes cardiovascular disease through chronic inflammation and oxidative stress, which impair high-density lipoprotein (HDL) function and favor oxidative modification. Oxidized HDL (HDLox) may link adiposity to car...
- AI & ComputingOpen access
AILQA: Evaluating AI-driven legal question answering systems for the indian legal system
Abstract This comprehensive study introduces an advanced A rtificial Intelligence for I ndian L egal Q uestion A nswering or system tailored for the Indian legal context. leverages a variety of embedding and generative models, including the latest Large Language Models (LLMs), to...
- BiologyOpen access
Background/Objectives: Alzheimer's disease (AD), one of the most prevalent neurodegenerative disorders in elderly, characterized by progressive cognitive loss, amyloid-β (Aβ) plaque deposition, and neurofibrillary tangle formation. Cerebral hypoxia has been reported as a complex...
- Engineering & TechnologyOpen access
Ô — Cross-Domain Phase Transition Detector: 2D Ising Model × North Anatolian Fault Creepmeter
We propose Ô, a general-purpose measurement operator that quantifies three orthogonal axes of any dynamical system: curl (directional change rate), helicity (internal winding complexity), and balance (proximity to criticality). Validated on two radically different systems: 2D Isi...
- Climate & EnvironmentOpen access
Abstract. Surface chlorophyll, the variable most directly linked to satellite ocean colour, is widely used to evaluate marine biogeochemical models, yet it cannot by itself reveal how chlorophyll is distributed through the water column. Using Biogeochemical-Argo (BGC-Argo) chloro...
- AI & Computing
ABSTRACT Aim To assess network meta‐analysis (NMA) model biases under different proportional hazards (PHs) scenarios, compare fitting and extrapolation performance for hazard ratios (HRs) using cancer survival data, identify metrics guiding model selection, and compare extrapolat...
- Physics & SpaceOpen access
Paleomagnetic evidence for a nebular magnetic field from calcium-aluminum-rich inclusions
The initial stage of planet formation is expected to take place in a nascent protoplanetary disk (PPD) accreting onto the protostar embedded in an infalling envelope. This stage is likely accompanied by the formation of high-condensation temperature solids resembling calcium-alum...
- AI & ComputingOpen access
Poster to be presented at the 2026 ACM AI Leadership Summit, Atlanta.
- Engineering & TechnologyOpen access
Recursive ArUco Markers: A Scalable Fiducial Marker Design for Unmanned Aerial Vehicle Landing Pads
Unmanned Aerial Vehicles (UAVs) usually rely on visual fiducial markers for autonomous navigation and precision landing. However, standard markers suffer from limited operational ranges, becoming undetectable when the camera is either too far or too close. While recursive and fra...
- Physics & SpaceOpen access
Complex Operator Growth in Dissipative Quantum Systems
Abstract The universal operator-growth hypothesis (OGH) states that in a closed chaotic system the Lanc- zos coeffcients grow linearly, bn ≃ αn, and that the rate α bounds the Lyapunov exponent, λL ≤ 2α. We ask how this structure is modified when the system is coupled to a Markov...