Zobrazeno 1 - 10
of 1 600
pro vyhledávání: '"L, Marino"'
Autor:
Petra L. Graham, Deborah J. Schofield, Robert J. Tait, Sarita Bista, Rebecca Q. Ivers, Bette Liu, Sharyn Lymer, Jennifer L. Marino, Lena A. Sanci, Rupendra N. Shrestha, Katharine Steinbeck, Leon M. Straker, S. Rachel Skinner
Publikováno v:
BMC Public Health, Vol 24, Iss 1, Pp 1-9 (2024)
Abstract Background Higher educational attainment is important for economic wellbeing and associated with better health and longevity. Previous research focused on intelligence, socioeconomic status and mental health or individual risk behaviours as
Externí odkaz:
https://doaj.org/article/1688bc87e30846f99c6772e1303a5f1d
Publikováno v:
Journal of Veterinary Internal Medicine, Vol 38, Iss 4, Pp 2344-2347 (2024)
Abstract This report describes the diagnosis and treatment of aldosterone resistance (AR) and acquired hyperkalemic type IV renal tubular acidosis (RTA) in 2 cats comparable to acquired pseudohypoaldosteronism in people. One cat developed AR from chr
Externí odkaz:
https://doaj.org/article/578b29f4a3ba4741a3c18659403da850
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol X-M-1-2023, Pp 47-54 (2023)
The degradation of Cultural Heritage sites is one of the biggest challenges in modern societies and it is becoming a pressing issue in many countries. Our Cultural Heritage is degrading faster today than any time in the past. Countries as Italy, boas
Externí odkaz:
https://doaj.org/article/25a122678c404175812146aff6db1d17
Autor:
César A. Castellanos-Morales, Laura L., Marino-Zamudio, Lerney Guerrero-V., Javier A. Maldonado-Ocampo
Publikováno v:
Revista de la Academia Colombiana de Ciencias Exactas, Físicas y Naturales, Vol 35, Iss 135 (2023)
Se presenta el estado actual del conocimiento de la diversidad de peces y su distribución por municipios y sistemas acuáticos en el departamento de Santander. Un total de 115 especies nativas distribuidas en ocho órdenes y 34 familias habitan en S
Externí odkaz:
https://doaj.org/article/deabadcd90a041749485ce91e175eced
Autor:
Walid Al Misba, Harindra S. Mavikumbure, Md Mahadi Rajib, Daniel L. Marino, Victor Cobilean, Milos Manic, Jayasimha Atulasimha
Publikováno v:
IEEE Access, Vol 11, Pp 124725-124737 (2023)
With the growing use of artificial neural networks (ANNs) in temporal data processing tasks, the cost of training of complex ANNs is an increasing concern. Physical reservoir computing (RC), a variation of recurrent neural networks (RNNs), obviates t
Externí odkaz:
https://doaj.org/article/61433df96bc743269f3b0aee5bf72987
Autor:
Niamh Waters, Louis Taffs, Jennifer L. Marino, Charlene Rapsey, Jane E. Girling, Michelle Peate
Publikováno v:
Women's Health Reports, Vol 3, Iss 1, Pp 937-943 (2022)
Background: One key challenge of the COVID-19 pandemic is health care access. Government-imposed restrictions and increased health care burden have induced considerable changes to health care services and their delivery. These are likely to have subs
Externí odkaz:
https://doaj.org/article/f9acee6aeb9b437ba9dfc52c7cdc412f
Publikováno v:
Journal of Medical Internet Research, Vol 25, p e43116 (2023)
BackgroundFormative experiences in adolescence lay the foundation for healthy and pleasurable romantic and sexual relationships. Exposure to pornography may affect these experiences. ObjectiveWe aimed to synthesize evidence published in the past dec
Externí odkaz:
https://doaj.org/article/72690cb8926b4884a080c6edad0a2018
Publikováno v:
Journal of Medical Internet Research, Vol 24, Iss 9, p e38449 (2022)
BackgroundLesbian, gay, bisexual, transgender, and queer (LGBTQ) individuals are at higher risk of poor mental health and well-being. Social media platforms can provide LGBTQ youths with a space that counters heteronormative environments and potentia
Externí odkaz:
https://doaj.org/article/00b61af294b84fc59c197f1a026124c9
Publikováno v:
IEEE Access, Vol 9, Pp 40511-40520 (2021)
Efficient modeling of high-dimensional data requires extracting only relevant dimensions through feature learning. Unsupervised feature learning has gained tremendous attention due to its unbiased approach, no need for prior knowledge or expensive ma
Externí odkaz:
https://doaj.org/article/bb588ac372eb4dafb062b8bbc0048526
Autor:
Daniel L. Marino, Milos Manic
Publikováno v:
IEEE Open Journal of the Industrial Electronics Society, Vol 2, Pp 252-265 (2021)
Centuries of development in natural sciences and mathematical modeling provide valuable domain expert knowledge that has yet to be explored for the development of machine learning models. When modeling complex physical systems, both domain knowledge
Externí odkaz:
https://doaj.org/article/872fe08226134428bc2d77611ff71523