Zobrazeno 1 - 10
of 1 259
pro vyhledávání: '"Prediction algorithm"'
Publikováno v:
Pilar Nusa Mandiri, Vol 20, Iss 2, Pp 137-145 (2024)
Generation Z is a group that is very connected to digital technology, especially social media such as Twitter. Their widespread presence on these platforms creates a unique opportunity to understand their behavioural patterns and personalities. Howev
Externí odkaz:
https://doaj.org/article/514ed409539647c0aa09154e840cda51
Publikováno v:
COVID, Vol 4, Iss 6, Pp 825-837 (2024)
Advantageous variants of the SARS-CoV-2 virus have arisen through mutations, particularly on a single amino acid basis. These point mutations can cause changes in the structure of SARS-CoV-2 and affect the efficiency of interaction with the ACE2 prot
Externí odkaz:
https://doaj.org/article/a2321789896e43b5932bfbf2d21c63b3
Autor:
Maha Alshahrani, Serena Sabatini, Devi Mohan, Jacob Brain, Eduwin Pakpahan, Eugene Y. H. Tang, Louise Robinson, Mario Siervo, Aliya Naheed, Blossom Christa Maree Stephan
Publikováno v:
Frontiers in Epidemiology, Vol 4 (2024)
Dementia is a leading cause of death and disability with over 60% of cases residing in low- and middle-income countries (LMICs). Therefore, new strategies to mitigate risk are urgently needed. However, despite the high burden of disease associated wi
Externí odkaz:
https://doaj.org/article/513cdbcd59ba41d49e1c16de79c45dad
Autor:
Mohadese Borna, Mansour Yeganeh
Publikováno v:
Case Studies in Thermal Engineering, Vol 61, Iss , Pp 104825- (2024)
This research aims to identify and classify the types of microalgae and investigate their growth and control conditions and their optimal use for construction purposes and urban landscapes. How to use types of microalgae in climates, types of buildin
Externí odkaz:
https://doaj.org/article/c3c27c30511c4c6f9da11db8b0d1f78f
Autor:
Krish Mendapara
Publikováno v:
Frontiers in Genetics, Vol 15 (2024)
This research aims to advance the detection of Chronic Kidney Disease (CKD) through a novel gene-based predictive model, leveraging recent breakthroughs in gene sequencing. We sourced and merged gene expression profiles of CKD-affected renal tissues
Externí odkaz:
https://doaj.org/article/caae7f80841841248c885ff540272dc7
Publikováno v:
IEEE Access, Vol 12, Pp 151153-151160 (2024)
Vasovagal syncope is a reversible condition that can cause serious events, such as cerebral hemorrhage. Predicting its occurrence is challenging; thus, this study aimed to develop machine learning models that use heart rate variability to predict the
Externí odkaz:
https://doaj.org/article/70ae6c830ba441f19ed9016c1e66c1be
Publikováno v:
Heliyon, Vol 10, Iss 7, Pp e28312- (2024)
Hydropower stations that are part of the grid system frequently encounter challenges related to the uneven distribution of power generation and associated benefits, primarily stemming from delays in obtaining timely load data. This research addresses
Externí odkaz:
https://doaj.org/article/f5cebd1775564ecb875f07758d3f10b4
Publikováno v:
Heliyon, Vol 10, Iss 5, Pp e26994- (2024)
To meet the urgent need for a new design concept and solve the inaccuracy of existing performance prediction algorithms for high-speed turbomolecular pumps (TMPs), a new algorithm based on a novel twisted rotor blade is proposed. In this algorithm, t
Externí odkaz:
https://doaj.org/article/b3266b1a01074cdc818ffdad3035296c
Autor:
Simon Bang Kristensen, Anne Clausen, Michael Kriegbaum Skjødt, Jens Søndergaard, Bo Abrahamsen, Sören Möller, Katrine Hass Rubin
Publikováno v:
Diagnostic and Prognostic Research, Vol 7, Iss 1, Pp 1-10 (2023)
Abstract Background Osteoporosis poses a growing healthcare challenge owing to its rising prevalence and a significant treatment gap, as patients are widely underdiagnosed and consequently undertreated, leaving them at high risk of osteoporotic fract
Externí odkaz:
https://doaj.org/article/7ebf313c164e4b51a15eaa12dc1d9883
Autor:
Craig G. Rusin, PhD, Sebastian I. Acosta, PhD, Kennith M. Brady, MD, Eric Vu, MD, Carly Scahill, MD, Brian Fonseca, MD, Cindy Barrett, MD, Janet Simsic, MD, Andrew R. Yates, MD, Brenna Klepczynski, RN, BSN, William J. Gaynor, MD, Daniel J. Penny, MD, PhD, MHA
Publikováno v:
JTCVS Open, Vol 15, Iss , Pp 406-411 (2023)
Objectives: Patients with single-ventricle physiology have a significant risk of cardiorespiratory deterioration between their first- and second-stage palliation surgeries. Detection of deterioration episodes may allow for early intervention and impr
Externí odkaz:
https://doaj.org/article/a8acec4263304f009df53303e5329261