Results 101 to 110 of about 1,783 (184)

Gene turnover in the common ancestor of all C4 grasses

PLANTS, PEOPLE, PLANET, EarlyView.
Understanding how plants evolve more efficient photosynthesis is important in a warming world where improving crop productivity and resilience is a global priority. By generating the first reference genomes for an early‐diverging group of grasses called the Aristidoideae, we were able to reconstruct the genetic makeup of the last common ancestor of all
Lara Pereira, Ahmed S. Alenazi, Sahr Mian, Ilia J. Leitch, Pascal‐Antoine Christin, Colin P. Osborne, Luke T. Dunning   +6 more
wiley   +1 more source

A programmable hybrid digital chemical information processor based on the Belousov-Zhabotinsky reaction. [PDF]

Nat Commun
Sharma A, Ng MT, Parrilla Gutierrez JM, Jiang Y, Cronin L.   +4 more
europepmc   +1 more source

Dynamic Simulation of 1D Cellular Automata in the Active aTAM. [PDF]

New Gener Comput, 2015
Jonoska N, Karpenko D, Seki S.
europepmc   +1 more source

Comparison of two numerical weather prediction models in simulating south foehn in the Alpine Rhine Valley

Quarterly Journal of the Royal Meteorological Society, EarlyView.
ICON outperforms COSMO in simulating a south foehn event in the Alpine Rhine Valley, with improved accuracy in temperature, wind speed, and foehn timing. This enhanced performance likely results from a more accurate representation of surface energy balance and gravity wave pattern on the lee side of the mountain.
Yue Tian, Julian Quimbayo Duarte, Shweta Singh, Juerg Schmidli   +3 more
wiley   +1 more source

Entropy, Periodicity and the Probability of Primality. [PDF]

Entropy (Basel)
Croll GJ.
europepmc   +1 more source

Amorphous computing: examples, mathematics and theory. [PDF]

Nat Comput, 2013
Stark WR.
europepmc   +1 more source

Machine learning‐driven advances in carbon‐based quantum dots: Opportunities accompanied by challenges

Responsive Materials, EarlyView.
Machine learning provides a unifying framework to connect structure, fluorescence properties, and applications of carbon‐based quantum dots. This review highlights how data‐driven strategies enable fluorescence regulation, reveal underlying mechanisms, and accelerate the rational design of functional carbon dots.
Liangfeng Chen, Siwei Yang, Xiangqian Cui, Ziheng Liu, Hang Wang, Yongqiang Li, Peng He, Miao Wang, Guqiao Ding   +8 more
wiley   +1 more source

Predicting the <i>S. cerevisiae</i> Gene Expression Score by a Machine Learning Classifier. [PDF]

Life (Basel)
Pawłowski PH, Zielenkiewicz P.
europepmc   +1 more source

Intelligently deciphering unintelligible designs: algorithmic algebraic model checking in systems biology. [PDF]

J R Soc Interface, 2009
Mishra B.
europepmc   +1 more source

Comparing convolutional neural network and random forest for benthic habitat mapping in Apollo Marine Park

Remote Sensing in Ecology and Conservation, EarlyView.
A comparison of Convolutional Neural Network (CNN) and Random Forest (RF) model predictions of benthic habitats within Apollo Marine Park. The CNN (left) and RF (right) classification maps show the spatial distribution of three habitat types: high energy circalittoral rock with seabed‐covering sponges, low complexity circalittoral rock with non‐crowded
Henry Simmons, Dang Nguyen, Benjamin Misiuk, Daniel Ierodiaconou, Sunil Gupta, Oli Dalby, Mary Young   +6 more
wiley   +1 more source