Zobrazeno 1 - 10
of 82
pro vyhledávání: '"David, Huber"'
Publikováno v:
Case Studies in Thermal Engineering, Vol 61, Iss , Pp 104975- (2024)
To combat climate change, we need to reduce emissions from the transport sector. Synthetic fuels are a long-term solution for aviation, maritime and heavy machinery. Large-scale use requires cost-effectiveness, efficient production and resilience to
Externí odkaz:
https://doaj.org/article/8b2440adf4754da3b6f34e77ba11ed6a
Autor:
Katherine E. Lukens, Kevin Garrett, Kayo Ide, David Santek, Brett Hoover, David Huber, Ross N. Hoffman, Hui Liu
Publikováno v:
Meteorology, Vol 3, Iss 1, Pp 114-140 (2024)
Accurate atmospheric 3D wind observations are one of the top priorities for the global scientific community. To address this requirement, and to support researchers’ needs to acquire and analyze wind data from multiple sources, the System for Analy
Externí odkaz:
https://doaj.org/article/aef73134270f4ccba99e5a3a67063c83
Autor:
Damiana Ravasi, Francesca Mangili, David Huber, Massimiliano Cannata, Daniele Strigaro, Eleonora Flacio
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-14 (2022)
Abstract The tiger mosquito, Aedes albopictus, has adjusted well to urban environments by adopting artificial water containers as oviposition sites. Its spread in temperate regions is favoured by the deposition of cold-tolerant diapausing eggs that s
Externí odkaz:
https://doaj.org/article/eeb7cbe04424454899fb526a93f59186
Autor:
Natalie L. James, Zoran Milijasevic, Anthony Ujhazy, David Huber, Randi Rotne, Glenn Edwards, Kieri Jermyn, David S. Celermajer
Publikováno v:
Heliyon, Vol 9, Iss 4, Pp e14909- (2023)
Background: Pulse pressure intensity in middle-aged adults is a risk factor for dementia. The Guardian device (The Brain Protection Company, Sydney, Australia) has been developed to reduce pulse pressure, as a potential therapy. Objectives: The aim o
Externí odkaz:
https://doaj.org/article/6945d2bb200842bba6c4d7e79460a64a
Publikováno v:
Energies, Vol 16, Iss 12, p 4732 (2023)
In this paper, we present an extended heat exchanger synthesis superstructure (HENS) formulation to consider streams with variable temperatures and flow capacities using mixed-integer linear programming (MILP). To keep the problem tractable and to le
Externí odkaz:
https://doaj.org/article/6f1062fdfc4a499798c16af7c414efcd
Autor:
Heidi Kern, Giorgio Corani, David Huber, Nicola Vermes, Marco Zaffalon, Marco Varini, Claudia Wenzel, André Fringer
Publikováno v:
BMC Palliative Care, Vol 19, Iss 1, Pp 1-10 (2020)
Abstract Background Most terminally ill cancer patients prefer to die at home, but a majority die in institutional settings. Research questions about this discrepancy have not been fully answered. This study applies artificial intelligence and machin
Externí odkaz:
https://doaj.org/article/a44522741cdc40869ad79aac6d245aca
Publikováno v:
PLoS ONE, Vol 17, Iss 8, p e0271762 (2022)
Many societies report an increasingly divergent development of managers' salaries compared to that of their workforce. Moreover, there is often a lack in diversity amongst managerial boards. We investigate the role of managers' gender and incentive s
Externí odkaz:
https://doaj.org/article/8b7e7ed57724491aba64ef81664c6b9f
Autor:
Lukas Rammelmüller, David Huber, Matija Čufar, Joachim Brand, Hans-Werner Hammer, Artem G. Volosniev
Publikováno v:
SciPost Physics, Vol 14, Iss 1, p 006 (2023)
We present a numerical analysis of spin-$\tfrac{1}{2}$ fermions in a one-dimensional harmonic potential in the presence of a magnetic point-like impurity at the center of the trap. The model represents a few-body analogue of a magnetic impurity in th
Externí odkaz:
https://doaj.org/article/6c8f9620647b4143ada91bb9f7cfe941
Publikováno v:
Diagnostics, Vol 12, Iss 10, p 2509 (2022)
Today’s extensive availability of medical data enables the development of predictive models, but this requires suitable statistical methods, such as machine learning (ML). Especially in forensic psychiatry, a complex and cost-intensive field with r
Externí odkaz:
https://doaj.org/article/1cc021c3615f40a0906d059467412d21
Autor:
Pedro Berjano, Francesco Langella, Luca Ventriglia, Domenico Compagnone, Paolo Barletta, David Huber, Francesca Mangili, Ginevra Licandro, Fabio Galbusera, Andrea Cina, Tito Bassani, Claudio Lamartina, Laura Scaramuzzo, Roberto Bassani, Marco Brayda-Bruno, Jorge Hugo Villafañe, Lorenzo Monti, Laura Azzimonti
Publikováno v:
Journal of Personalized Medicine, Vol 11, Iss 12, p 1377 (2021)
The study aims to create a preoperative model from baseline demographic and health-related quality of life scores (HRQOL) to predict a good to excellent early clinical outcome using a machine learning (ML) approach. A single spine surgery center retr
Externí odkaz:
https://doaj.org/article/a1cba78226ae47d0b906873db4388b65