Research works
The research papers we track — the newest first. Works with a plain-language summary link to it.
128627 work(s)
- Climate & EnvironmentOpen access
The use of combined sewer systems is associated with frequent overflow events and discharges of untreated wastewater containing micropollutants, including active pharmaceutical ingredients (APIs). The aim of this study was to evaluate the impact of weather-related factors on the...
- AI & ComputingOpen access
On matrix product factorization of Cayley graphs
We study when the adjacency matrix of a Cayley graph factors as the product of two adjacency matrices of Cayley graphs. Let $G$ be a finite group and let $U\subseteq G\setminus \{e\}$ be symmetric. Writing $A(G;U)$ for the adjacency matrix of the Cayley graph of $G$ with respect...
- Physics & SpaceOpen access
Quantitative phase nano-imaging with a laboratory source
Investigating the structure of matter at the nanoscale non destructively is a key capability enabled by X-ray imaging. One of the most powerful nano-imaging methods is X-ray ptychography, a coherent diffraction imaging technique that has become the go-to method at synchrotron fac...
- Society & EconomicsOpen access
Can We See More Clearly? Theology on Male Sexual Violence Against Women through an Existential Lens
Naomi Browell is completing her doctoral studies at the University of Glasgow. Her thesis investigates the experience of Scottish Episcopal liturgy through the lens of female victim-survivors of male sexual violence.
- AI & ComputingOpen access
Quasi-Monte Carlo Time-Splitting Methods for the Schrödinger Equation with Gaussian Random Potential
Abstract In this paper, we study the Schrödinger equation with a Gaussian random potential (SE-GP) and develop an efficient numerical method to approximate the expectation of physical observables. The unboundedness of Gaussian random variables poses significant difficulties in bo...
- AI & ComputingOpen access
HYBRID GRAPH NEURAL NETWORKS AND XGBOOST FOR FRAUD TRANSACTION DETECTION
Detecting financial fraud in cryptocurrency networks like bitcoin is a significant challenge.The problem is that traditional machine learning models often fail to capture the complex relational patterns within transaction graphs, leading to poor detection.The purpose of this rese...
- Society & EconomicsOpen access
Polarization and echo chambers in Reddit’s political discourse
Online social media have become important arenas for political debate, with election periods amplifying ideological engagement. Polarization and echo chamber effects were shown to be important for platforms like Twitter or Facebook but less for others like Reddit. Here we challen...
- AI & ComputingOpen access
Edge-coloring 4- and 5-regular projective planar graphs with no Petersen-minor
An $r$-regular graph is an $r$-graph, if every odd set of vertices is connected to its complement by at least $r$ edges. We prove for $r \in \{4,5\}$, every projective planar $r$-graph with no Petersen-minor is $r$-edge colorable.
- AI & ComputingOpen access
Abstract We propose an inexact proximal augmented Lagrangian method (P-ALM) for solving nonconvex structured optimization problems. The proposed method features an easily implementable rule not only for updating the penalty parameters, but also for adaptively tuning the proximal...
- Engineering & TechnologyOpen access
Abstract. We propose a novel, rigorous, and conservative invariant-domain preserving (IDP) projection technique between solution spaces of differing discretizations. The projection preserves important physical invariants of the underlying hyperbolic system, for example, positivit...
- Society & EconomicsOpen access
Six guidelines for trustworthy, ethical and responsible automation design
Abstract Calibrated trust ( Lee and See 2004 ) is critical for safe and seamless integration of automated systems into society. 1 Users should only rely on a system recommendation when it is actually correct and reject it when it is factually wrong. This requires an accurate trus...
- Climate & EnvironmentOpen access
The OpenSat4Weather dataset: Ku-band satellite link data for precipitation monitoring
Abstract. The TV-SAT signals received by the ground antennas of Satellite Microwave Links (SMLs) can be opportunistically used for identifying and quantifying precipitation. Hence, SMLs can serve as low-cost rainfall sensors complementary to conventional instruments. However, a s...
- Physics & SpaceOpen access
Abstract Magnetic order in van der Waals magnets can strongly influence their lattice dynamics, yet how it affects local and macroscopic manifestations of spin-phonon coupling remains unclear. Optical phonons probe bond-scale exchange modulation and short-range spin correlations,...
- Physics & SpaceOpen access
Stacking and the Triviality of Invertible Phases
Abstract We study the superselection sectors of two quantum lattice systems stacked onto each other in the operator algebraic framework. We show in particular that all irreducible sectors of a stacked system are unitarily equivalent to a product of irreducible sectors of the fact...
- Physics & SpaceOpen access
The nervous system continuously adjusts connection strengths and reorganizes its structure to form and maintain complex connectivity patterns with heavy-tailed weight distributions. We propose a parsimonious model in which structural and synaptic plasticity are driven by common d...
- Climate & EnvironmentOpen access
Abstract. This study presents a systematic evaluation of China’s independently developed EPICC-Model for regional PM2.5 and MDA8 O3 simulations against established international models, using WRF meteorological fields and a multi-source integrated emission inventory. Results high...
- Health & MedicineOpen access
The human transmembrane protein SERINC5 incorporates into budding HIV-1 particles and inhibits virus fusion with target cells. Although three other human SERINC paralogs display antiviral activity, their contribution to retroviral restriction and their susceptibility to viral ant...
- AI & ComputingOpen access
Density Estimation via Periodic Scaled Korobov Kernel Method with Exponential Decay Condition
Abstract. We propose the periodic scaled Korobov kernel (PSKK) method for nonparametric density estimation on [Formula: see text]. By first wrapping the target density into a periodic version through modulo operation and subsequently applying kernel ridge regression in scaled Kor...
- Physics & SpaceOpen access
Abstract Our ability to observe, detect, and characterize exoplanetary atmospheres has grown by leaps and bounds over the last 20 yr, aided largely by developments in astronomical instrumentation, improvements in data analysis techniques, and an increase in the sophistication and...
- Physics & SpaceOpen access
Abstract The dispersion measures (DMs) of fast radio bursts (FRBs) arise predominantly from free electrons in the large-scale structure of the Universe. The increasing number of FRB observations has started to empirically constrain the distribution of cosmic baryons, making it cr...