Results 71 to 80 of about 406,624 (295)

Machine Learning and Shapley Additive Explanations Value Integration for Predicting the Prognostic of Anti-N-Methyl-D-Aspartate Receptor Encephalitis: Model Development and Evaluation Study

JMIR Medical Informatics
BackgroundAnti-N-methyl-D-aspartate receptor (NMDAR) encephalitis is a rare disease with no accurate prognostic tools to predict the prognosis of patients. ObjectiveThis study aims to develop an interpretable machine learning model using real-
Jia Wang, Haotian Wu, Han Cai, YingXiang Wang, Jian Gu   +4 more
doaj   +1 more source

MS-YieldStackNet: multi-source data fusion for wheat yield estimation using a stacked ensemble neural network [PDF]

PeerJ Computer Science
Accurate crop yield prediction is vital for ensuring food security and informing agricultural policy, particularly in wheat-dependent regions like Pakistan where manual estimation methods are labor-intensive and imprecise.
Waqas Ali, Zeeshan Ramzan, Muhammad Shahbaz, Qamar Ul Zaman Bhutta, Muhammad Talha, Mohammed J. AlGhamdi   +5 more
doaj   +2 more sources

Quantum root-mean-square error and measurement uncertainty relations

, 2013
This second version has been substantially edited to ensure a balanced comparison of the two proposed quantum generalizations of the Gauss rms error concept.
Busch, Paul, Lahti, Pekka, Werner, Reinhard F   +2 more
openaire   +2 more sources

The skills required for transition to university and study in biological sciences: A student perspective

FEBS Open Bio, EarlyView.
Bioscience students were asked for their opinions on the value and teaching of skills. 204 responded that teamwork, time management and study skills are necessary to reach University, that scientific writing, research, laboratory and presentation skills are taught effectively during their studies, while other skills are gained inherently through study ...
Janella Borrell, Susan Crennell
wiley   +1 more source

A New Method for Least-Squares and Minimax Group-Delay Error Design of Allpass Variable Fractional-Delay Digital Filters

EURASIP Journal on Advances in Signal Processing, 2010
A double-loop iterative method is proposed to design allpass variable fractional-delay (VFD) digital filters basing on the minimization of root-mean-squared group-delay error. In the inner loop, an iterative quadratic optimization is proposed to replace
Pei Soo-Chang, Shyu Jong-Jy, Chan Cheng-Han   +2 more
doaj  

Asymptotic bias for GMM and GEL estimators with estimated nuisance parameters [PDF]

This papers studies and compares the asymptotic bias of GMM and generalized empirical likelihood (GEL) estimators in the presence of estimated nuisance parameters.
Joaquim J. S. Ramalho, Richard Smith, Whitney K. Newey   +2 more
core  

Molecular dynamics simulations of positively selected codons in FcγRI reveal novel biochemical binding properties

FEBS Open Bio, EarlyView.
Evolutionary analysis across 32 placental mammals identified positive selection at residues H148 and W149 in the immune receptor FcγR1. Ancestral reconstruction combined with molecular dynamics simulations reveals how these mutations may influence receptor structure and dynamics, providing insight into the evolution of antibody recognition and immune ...
David A. Young, Omar Arias‐Gaguancela, Fiona Gibson, Morgan Grainger, Jodie Score, Amit Nathubhai, Mauricio Cafiero, Lee Richard Machado   +7 more
wiley   +1 more source

Sudden anaerobization in Amphibacillus xylanus increases intracellular labile ferrous iron and inhibits cell growth

FEBS Open Bio, EarlyView.
Abruptly changing from aerobic to anaerobic conditions (sudden anaerobization) induced growth inhibition and a significant increase in intracellular labile ferrous iron in the aerotolerant anaerobe Amphibacillus xylanus. We found that free flavins mediate efficient electron transfer from NADH to ferric iron under anaerobic conditions, suggesting that ...
Shinya Kimata, Yoichi Sakai, Keisuke Tanaka, Etsuro Yoshimura, Ken Kitano, Morio Ishikawa, Tadahiro Nakamoto, Tsutomu Takayama, Hirofumi Inoue, Kaho Nomura, Tomonori Suzuki, Masataka Uchino, Akira Abe, Youichi Niimura   +13 more
wiley   +1 more source

Advancing sustainable renewable energy: XGBoost algorithm for the prediction of water yield in hemispherical solar stills

Discover Sustainability
The increasing demand for clean water necessitates innovative approaches to optimize water productivity through renewable energy systems. This study harnessed computer science-based algorithm to forecast the productivity of hemispherical solar stills ...
Salwa Ahmad Sarow, Hasan Abbas Flayyih, Maryam Bazerkan, Luttfi A. Al-Haddad, Zainab T. Al-Sharify, Ahmed Ali Farhan Ogaili   +5 more
doaj   +1 more source

Native AI-based hybrid deep learning for wireless link quality prediction in NTN waterside scenarios

ICT Express
Predicting link quality before establishing communication between transmitter and receiver enhances channel selection. With the advancements in artificial intelligence, prediction is now possible for complex environments such as riverside, maritime and ...
Shrutika Sinha, G. Pradeep Reddy, Sea-Moon Kim, Soo-Hyun Park   +3 more
doaj   +1 more source