Yu, Xue Sun, Yifan Zhou, Hai-Jun
Published in
Scientific Reports
High-dimensional linear regression model is the most popular statistical model for high-dimensional data, but it is quite a challenging task to achieve a sparse set of regression coefficients. In this paper, we propose a simple heuristic algorithm to construct sparse high-dimensional linear regression models, which is adapted from the shortest-solu...
Meaney, Cameron Kohandel, Mohammad Novruzi, Arian
Published in
Journal of mathematical biology
External beam radiation therapy is a key part of modern cancer treatments which uses high doses of radiation to destroy tumour cells. Despite its widespread usage and extensive study in theoretical, experimental, and clinical works, many questions still remain about how best to administer it. Many mathematical studies have examined optimal scheduli...
Aref, Samin Neal, Zachary P.
Published in
Scientific Reports
In network science, identifying optimal partitions of a signed network into internally cohesive and mutually divisive clusters based on generalized balance theory is computationally challenging. We reformulate and generalize two binary linear programming models that tackle this challenge, demonstrating their practicality by applying them to partiti...
Spannaus, Adam Papamarkou, Theodore Erwin, Samantha Christian, J. Blair
Published in
Scientific Reports
The role of epidemiological models is crucial for informing public health officials during a public health emergency, such as the COVID-19 pandemic. However, traditional epidemiological models fail to capture the time-varying effects of mitigation strategies and do not account for under-reporting of active cases, thus introducing bias in the estima...
Peptenatu, Daniel Andronache, Ion Ahammer, Helmut Taylor, Richard Liritzis, Ioannis Radulovic, Marko Ciobanu, Bogdan Burcea, Marin Perc, Matjaz Pham, Tuan D.
...
Published in
Scientific Reports
The complexity in the styles of 1200 Byzantine icons painted between 13th and 16th from Greece, Russia and Romania was investigated through the Kolmogorov algorithmic information theory. The aim was to identify specific quantitative patterns which define the key characteristics of the three different painting schools. Our novel approach using the a...
Hobson, P. J. Vovrosh, J. Stray, B. Packer, M. Winch, J. Holmes, N. Hayati, F. McGovern, K. Bowtell, R. Brookes, M. J.
...
Quantum sensors based on cold atoms are being developed which produce measurements of unprecedented accuracy. Due to shifts in atomic energy levels, quantum sensors often have stringent requirements on their internal magnetic field environment. Typically, background magnetic fields are attenuated using high permeability magnetic shielding, with the...
Abd-Alla, A M Abo-Dahab, S M Thabet, Esraa N Abdelhafez, M A
Published in
Scientific reports
In magnetic resonance imaging (MRI), this MRI is used for the diagnosis of the brain. The dynamic of these particles occurs under the action of the peristaltic waves generated on the flexible walls of the brain. Studying such fluid flow of a Fractional Second-Grade under this action is therefore useful in treating tissues of cancer. This paper deal...
Fujimoto, Yuma Ohtsuki, Hisashi
Published in
Scientific Reports
Evaluation relationships are pivotal for maintaining a cooperative society. A formation of the evaluation relationships has been discussed in terms of indirect reciprocity, by modeling dynamics of good or bad reputations among individuals. Recently, a situation that individuals independently evaluate others with errors (i.e., noisy and private repu...
Salomon, Amir J. Salomon, Benjamin G. Amrani, Ofer
Published in
Scientific Reports
Orthogonal Frequency-Division Multiplexing with Random multiple access (OFDRMA) is discussed for uplink communications, whereby several active users send information towards a single base-station (BS), while all other users are dormant. Originally, uplink communication methods included sharing the frequency resources among the active users in an or...
Peach, Robert L. Arnaudon, Alexis Barahona, Mauricio
Dimension is a fundamental property of objects and the space in which they are embedded. Yet ideal notions of dimension, as in Euclidean spaces, do not always translate to physical spaces, which can be constrained by boundaries and distorted by inhomogeneities, or to intrinsically discrete systems such as networks. To take into account locality, fi...
