Results 141 to 150 of about 132,305 (262)
Smart food‐sharing platforms for social sustainability: a heuristic algorithm approach
Abstract This study examines how smart food‐sharing platforms (SFSP) can help reduce food waste and suggests a method for using smart contracts to share extra food among different partners effectively. For smart contracts to work automatically and prevent food wastage, artificial intelligence systems can recognize how smart clauses should be executed ...
Behzad Maleki Vishkaei +1 more
wiley +1 more source
A Shallow Echo: Artificial Intelligence and the Semantic Flattening of the Qur'an
ABSTRACT Scriptural Arabic relies on highly intentional word choices, employing apparent synonyms and near‐synonyms that convey distinct semantic values based on their specific textual placement. Historically, computational translation has struggled to reproduce these precise textual boundaries. Addressing this issue, the present investigation assesses
Ekrema Shehab
wiley +1 more source
The impact of COVID-19 restrictions on road traffic and noise pollution of the urban street, a case study from Krakow, Poland. [PDF]
Plesiński K, Cholewa M.
europepmc +1 more source
Infants and Mobiles: Developing an Understanding of Cause and Effect
ABSTRACT In the mobile conjugate reinforcement paradigm, an infant's leg is connected to a mobile via a string, allowing the infant to move the mobile via moving their leg. Over a few minutes, infants exhibit an increase in the frequency of movement of the connected leg.
Xia Xu, Jochen Triesch
wiley +1 more source
ABSTRACT The American manatee (Trichechus manatus) requires freshwater mainly from rivers and springs to maintain osmoregulatory balance in saline environments. However, in Brazil's semi‐arid Potiguar Basin, manatees now rely solely on submarine freshwater springs because hypersaline estuaries have become unsuitable sources of freshwater.
A. C. O. Meirelles +7 more
wiley +1 more source
Enhancing Study Design and Analysis of MR Imaging Markers Through Measurement Error Modeling
ABSTRACT Background Measurement error in imaging reduces statistical power and potentially biases parameter estimation, compromising study reliability. Purpose To introduce a dual data collection design (reliability and main datasets) to quantify measurement error and apply regression calibration to correct error‐prone imaging markers, thereby ...
Xiaofeng Wang +8 more
wiley +1 more source
We propose a novel deep learning algorithm for predicting the myelin water fraction from multiple gradient‐echo or spin‐echo pulse sequences arising in magnetic resonance relaxometry (MRR) measurements of the human brain. Our method incorporates both regularized nonlinear least squares and pure deep learning through a concatenation paradigm known as ...
Mirage Modi +7 more
wiley +1 more source
Examining the spiral of silence in offline and online expression of public opinion on recruitment of women into the Kuwaiti military. [PDF]
Alkandari A +3 more
europepmc +1 more source

