Kim, Moonil Cui, Fenghao
Published in
Journal of environmental management
When modelling anaerobic digestion, ineffective data handling and inadequate designation of modelling parameters can undermine the model reliability. In this study, a multilayer statistical technique, which employed a machine learning technique using regression models, was introduced to systematically support the development of anaerobic digestion ...
White, Nicole Parsons, Rex Collins, Gary Barnett, Adrian
Background: Clinical prediction models are widely used in health and medical research. The area under the receiver operating characteristic curve (AUC) is a frequently used estimate to describe the discriminatory ability of a clinical prediction model. The AUC is often interpreted relative to thresholds, with “good” or “excellent” models defined at...
Scanff, Alexandre Mauhé, Nicolas Taburet, Marion Savourat, Pierre-Etienne Clément, Thomas Bastian, Benjamin Cristea, Ioana Braillon, Alain Carayol, Nicolas Naudet, Florian
...
Background Evaluating academics is a challenge, and the use of indicators such as scientific impact (i.e. number published papers their citation rate) complex poorly validated. We propose new indicator for academic medical research: “Free lunches” index ( fl -index), computed from sum gifts industry. The -index provides direct straightforward measu...
Bouton, Sophie Chambon, Valerian Golestani, Narly Formisano, Elia Giraud, Anne-Lise
Brain functions are traditionally investigated using general linear models (GLM) in controlled experiments, which allow for a straightforward interpretation of the data. However, constraints imposed by controlled experimental setups have led neuroscientists to increasingly use machine-learning inspired approaches, which allow to work with large dat...
Wang, Ke Franks, Alexander Oh, Sang-Yun
Gaussian Graphical models (GGM) are widely used to estimate network structure in domains ranging from biology to finance. In practice, data is often corrupted by latent confounders which biases inference of the underlying true graphical structure. In this paper, we compare and contrast two strategies for inference in graphical models with latent co...
Berar, Antoine Balusson, Frederic Allain, Jean-Sébastien
Objective: Patients with factitious disorder imposed on self (FDIS) seek medical care for deliberately falsified problems. Although a large amount of work has been published, the scientific literature lacks robust data on FDIS. The present study aimed to estimate the annual mean of in-hospital FDIS codings in France, describe the sociodemographic c...
Nestler, Steffen Blozis, Shelley A
In public health research an increasing number of studies is conducted in which intensive longitudinal data is collected in an experience sampling or a daily diary design. Typically, the resulting data is analyzed with a mixed-effects model or mixed-effects location scale model because they allow one to examine a host of interesting longitudinal re...
Thouret, Jean-Claude Taillandier, M. Arapa, E. Wavelet, E.
Approximately, 75,000 people live in areas prone to volcanic hazards and floods in the large city of Arequipa, Peru. We have conducted three different surveys involving c. 280 respondents to appraise the socio-economic characteristics of urban dwellers living in informal settlements along two ravines, the extent to which they know hazards, perceive...
Oshkordina, Alla Goncharova, Nadezhda Makarova, Elena
Published in
E3S Web of Conferences
The article discusses the socio-economic aspects of the development of the city of Ekaterinburg from the standpoint of the cultural and entertainment potential of its development. The authors examined the dynamics of the development of the quest industry in the Russian Federation within the framework of the experience economy. The main development ...
González-Delgado, Javier
The recognition of the functional relevance of disordered proteins has brought about a paradigm shift in Structural Biology. With the advancement of simulation methods and generative models, the scientific community now has access to atomic-resolution conformational ensembles of a large number of systems. However, the structural analysis of these o...