Example fluorophores. by Nicholas H. Vitale (20469289)

“…<div><p>We present a model for the noise and inherent stochasticity of fluorescence signals in both continuous wave (CW) and time-gated (TG) conditions. When the fluorophores are subjected to an arbitrary excitation photon flux, we apply the model and compute the evolution of the probability mass function (pmf) for each quantum state comprising a fluorophore’s electronic structure, and hence the dynamics of the resulting emission photon flux. …”

MCLP_quantum_annealer_V0.5 by Anonymous Anonymous (4854526)

“…The results demonstrate the effectiveness of the QUBO-MCLP algorithm workflow, with TOICCAP successfully converting slack variables in inequality-constrained functions for p>2, and LTOICCAP effectively reducing the number of linear and quadratic variables. …”

Recursive-Expansive Dynamics Frameworks Formalization with Negation Isolation and Inverse Zero Operators by Del Bel, Julian (21403013)

Subjects: “…Mathematical methods and special functions…”

A Scalable Route to First-Order Response Properties with Correlated Sampling Phaseless Auxiliary-Field Quantum Monte Carlo by Leon Otis (20898157)

“…As with energies, the quality of predicted dipole moments can be systematically improved with the use of correlated trial wave functions, even (or especially) in strongly correlated regimes. …”

Additional file 8 of Functional characterization of the second feedback loop in the circadian clock of the Antarctic krill Euphausia superba by Chiara Stefanelli (19839303)

Constructing Accurate Potential Energy Surfaces with Limited High-Level Data Using Atom-Centered Potentials and Density Functional Theory by Mahsa Nazemi-Ashani (21876936)

“…We present a general method for developing a Δ-DFT-type approach that enables the generation of energies with complete basis set CCSD­(T)-level accuracy on the potential energy surfaces (PESs) of molecules of arbitrary size, while requiring only a minimal set (hundreds) of high-level wave function theory reference data points for fitting. …”

Supplementary file 1_Hamiltonian formulations of centroid-based clustering.pdf by Myeonghwan Seong (21159605)

“…However, defining similarity is often ambiguous, making it challenging to determine the most appropriate objective function for a given dataset. Traditional clustering methods, such as the k-means algorithm and weighted maximum k-cut, focus on specific objectives—typically relying on average or pairwise characteristics of the data—leading to performance that is highly data-dependent. …”

Data analyzed for the article of <b>Evaluating photoplethysmography-based pulsewave parameters and composite scores for assessment of cardiac function: A comparison with echocardio... by Kulin (20907929)

“…The SCN4ALL software analyzed the signals, its proprietary algorithm identifies points of interest on the pulse wave from which it calculates over 30 morphological and pulse rate variability parameters online. …”

Global Aridity Index and Potential Evapotranspiration (ET0) Database: Version 3.1 by Robert Zomer (12796235)

GridScopeRodents: High-Resolution Global Typical Rodents Distribution Projections from 2021 to 2100 under Diverse SSP-RCP Scenarios by Yang Lan (20927512)

“…Using occurrence data and environmental variable, we employ the Maximum Entropy (MaxEnt) algorithm within the species distribution modeling (SDM) framework to estimate occurrence probability at a spatial resolution of 1/12° (~10 km). …”

Enhancing the Accuracy and Efficiency of Sample-Based Quantum Diagonalization with Phaseless Auxiliary-Field Quantum Monte Carlo by Don Danilov (16448126)

“…For the dissociation of N₂ and a model [2Fe – 2S] cluster (correlating 10 electrons in 26 orbitals and 30 electrons in 20 orbitals, respectively) we show that a nonperturbative stochastic approach, phaseless auxiliary-field quantum Monte Carlo (ph-AFQMC), using truncated SQD trial wave functions obtained from quantum hardware can recover a substantial amount (e.g., O(100) mHa) of correlation energy. …”

Supporting Data for “All-temperature barocaloric effects at pressure-induced phase transitions” by Zhao Xueting (21796316)

“…The PBEsol⁴⁰ exchange-correlation functional was used, which yields a better description of the equilibrium properties of solids⁴⁰. …”

SpatialKNifeY analysis landscape. by Shunsuke A. Sakai (13789939)

Structure factor for LP, PCS and MSP. by Luca Maria Del Bono (20479625)

<i>Ab Initio</i> Valence Bond Molecular Dynamics: A Study of S_N2 Reaction Mechanisms by Miao Guo (1502092)

“…Taking the gas-phase S_N2 reaction as an example, a compact VB wave function gives reasonable accuracy with only 27 VB structures, compared to the full active space of 5292 VB structures. …”

Data for "A multi-objective platform for autonomous property targeting and optimization of colloidal lead halide perovskite quantum dots" by Neal Munyebvu (19690954)

Hippocampal and cortical activity reflect early hyperexcitability in an Alzheimer's mouse model by Marina Diachenko (19739092)

“…</p><p dir="ltr">All data are available upon request. The standalone Python implementation of the fE/I algorithm is available under a CC-BY-NC-SA license at <a href="https://github.com/arthur-ervin/crosci" target="_blank">https://github.com/arthur-ervin/crosci</a>. …”

S1 Graphical abstract - by José M. Rivera-Arbeláez (12418512)

“…<div><p>Engineered heart tissues (EHTs) have shown great potential in recapitulating tissue organization, functions, and cell-cell interactions of the human heart <i>in vitro</i>. …”

<b>AI for imaging plant stress in invasive species </b>(dataset from the article https://doi.org/10.1093/aob/mcaf043) by Erola Fenollosa (20977421)

“…<p dir="ltr">This dataset contains the data used in the article <a href="https://academic.oup.com/aob/advance-article/doi/10.1093/aob/mcaf043/8074229" rel="noreferrer" target="_blank">"Machine Learning and digital Imaging for Spatiotemporal Monitoring of Stress Dynamics in the clonal plant Carpobrotus edulis: Uncovering a Functional Mosaic</a>", which includes the complete set of collected leaf images, image features (predictors) and response variables used to train machine learning regression algorithms.…”

Capturing pulse-modulated firing using . by Matthew R. Baker (436704)

“…An impulse-response function was fitted to the baselined distribution using a nonlinear least square fitting algorithm using the trust-region-reflective method in the form . …”