Results 51 to 60 of about 500,399 (326)
Common workflows for computing material properties using different quantum engines
npj Computational Materials, 2021 The prediction of material properties based on density-functional theory has become routinely common, thanks, in part, to the steady increase in the number and robustness of available simulation packages.
Sebastiaan P. Huber +25 more
doaj +1 more source
Applying computational complexity to the emergence of classicality [PDF]
, 2013 Can the computational complexity theory of computer science and mathematics say something new about unresolved problems in quantum physics? Particularly, can the P versus NP question in the computational complexity theory be a factor in the elucidation ...
Bolotin, Arkady
core
Molecular Oncology, EarlyView.Using multi‐omic characterization, we aimed to identify key regulators specific to squamous cell lung carcinoma (SqCC). SqCC‐specific differentially expressed genes were integrated with metabolics data. High expression of the creatine transporter SLC6A8, along with elevated creatine levels, appeared to be a distinct metabolic feature of SqCC.
Johan Staaf +10 more
wiley +1 more source
Education Sciences, 2022 Programming activities have the potential to provide a rich context for exploring measurement units in early elementary mathematics. This study examines how a small group of young children (ages 5–6) express their emergent conception of a dynamic linear ...
Lise E. Welch +3 more
doaj +1 more source
Creating a Mathematical Theory of Computer Networks [PDF]
Operations Research, 2002 1. ORIGINS It all began with a comic book! At the age of 6, I was reading a Superman comic at my apartment in Manhattan when, in the centerfold, I found plans for building a crystal radio. To do so, I needed my father’s used razor blade, a piece of pencil lead, an empty toilet paper roll, and some wire, all of which I had no trouble obtaining.
openaire +2 more sources
FEBS Open Bio, EarlyView.This study presents a novel approach to teaching Python and bioinformatics using team‐based learning and cloud‐hosted notebooks. By integrating interactive coding into biomedical education, the method improves accessibility, student engagement, and confidence—especially for those without a computing background.
Nuno S. Osório, Leonardo D. Garma
wiley +1 more source
Data Based Construction of Kernels for Semi-Supervised Learning With Less Labels
Frontiers in Applied Mathematics and Statistics, 2019 This paper deals with the problem of semi-supervised learning using a small number of training samples. Traditional kernel based methods utilize either a fixed kernel or a combination of judiciously chosen kernels from a fixed dictionary. In contrast, we
Hrushikesh Mhaskar +3 more
doaj +1 more source
Characterizing the Conditional Galaxy Property Distribution Using Gaussian Mixture Models
The Astrophysical Journal, 2023 Line-intensity mapping (LIM) is a promising technique to constrain the global distribution of galaxy properties. To combine LIM experiments probing different tracers with traditional galaxy surveys and fully exploit the scientific potential of these ...
Yucheng Zhang +7 more
doaj +1 more source
Symbolic Toolkit for Chaos Explorations [PDF]
, 2013 New computational technique based on the symbolic description utilizing kneading invariants is used for explorations of parametric chaos in a two exemplary systems with the Lorenz attractor: a normal model from mathematics, and a laser model from ...
A Shilnikov +31 more
core +1 more source
FEBS Open Bio, EarlyView.We propose a context‐dependent model where the Duchenne muscular dystrophy (DMD) gene acts as a tumour suppressor in aggressive tumours and as an oncogene in less aggressive ones. We propose this model as a unified framework to explain the opposing survival associations with DMD expression and to guide experimental exploration of the dual role of DMD ...
Lee Machado +4 more
wiley +1 more source