Results 111 to 120 of about 175,631 (262)

Discounting of delayed rewards: Missing data imputation for the 21- and 27-item monetary choice questionnaires. [PDF]

PLoS One, 2023
Yeh YH, Tegge AN, Freitas-Lemos R, Myerson J, Green L, Bickel WK.   +5 more
europepmc   +1 more source

Data‐Driven Materials Science for Energy‐Sustainable Applications

Advanced Materials, EarlyView.
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley   +1 more source

One Model to Synthesize Them All: Multi-Contrast Multi-Scale Transformer for Missing Data Imputation. [PDF]

IEEE Trans Med Imaging, 2023
Liu J, Pasumarthi S, Duffy B, Gong E, Datta K, Zaharchuk G.   +5 more
europepmc   +1 more source

Modulation of miR‐23b Wnt/β‐catenin Axis Strengthens Endothelial Barrier Properties

Advanced Science, EarlyView.
Early blood‐brain barrier (BBB) disruption contributes to stroke and CNS disease pathology. miR‐23b was identified as a regulator of BBB integrity in brain endothelial cells. Inhibition of miR‐23b enhanced barrier‐associated properties, promoted repair‐related signaling, and reduced BBB leakage in experimental stroke models, supporting further ...
Victor Anthony Martinez, Rose E. Presby, Sara Nakanishi, Pallavi Gaur, Ugur Akcan, Johannes Daugaard Krog, Iben Daugaard Krog, Lipi Das, David S. Johnson, Danny Jamoul, Douglas Jury, Brian Lawson, Jacob Körbelin, Lewis M. Brown, Vilas Menon, Dritan Agalliu, Irene Munk Pedersen   +16 more
wiley   +1 more source

Studying missingness in spinal cord injury data: challenges and impact of data imputation

BMC Medical Research Methodology
Background In the last decades, medical research fields studying rare conditions such as spinal cord injury (SCI) have made extensive efforts to collect large-scale data. However, most analysis methods rely on complete data.
Lucie Bourguignon, Louis P. Lukas, James D. Guest, Fred H. Geisler, Vanessa Noonan, Armin Curt, Sarah C. Brüningk, Catherine R. Jutzeler   +7 more
doaj   +1 more source

Missing data imputation techniques for wireless continuous vital signs monitoring. [PDF]

J Clin Monit Comput, 2023
van Rossum MC, da Silva PMA, Wang Y, Kouwenhoven EA, Hermens HJ.   +4 more
europepmc   +1 more source

Charting Endocrine Progenitors Across Species and Organs

Advanced Science, EarlyView.
Endocrine progenitors give rise to the hormone‐producing cells of the pancreas and intestine. Using single‐cell multiomics and proteomics, this study compares these progenitors across species, systems, and organs, mapping the conserved and species‐specific gene regulatory networks that guide their formation.
Changying Jing, Michael Sterr, Özüm Sehnaz Caliskan, Lama Saber, Nicole Katarina Rogers, Samuel Ogden, Kei Kozawa, Christos Karampelias, Jessica Jaki, Aimée Bastidas‐Ponce, Falk Janos Farkas, Oliver Czarnecki, Osvaldo Rodrigues Pereira, Perla Cota, Valerie Vandenbempt, Diego Balboa, Anika Böttcher, Natalie Krahmer, Mohammad Lotfollahi, Julie B. Sneddon, Heiko Lickert, Mostafa Bakhti   +21 more
wiley   +1 more source

Cyclical hybrid imputation technique for missing values in data sets

Scientific Reports
The problem of missing data in data sets is the most important first step to be addressed in the preprocessing phase. Because incorrect imputation of missing data increases the error in the modeling phase and reduces the prediction performance of the ...
Kurban Kotan, Serdar Kırışoğlu
doaj   +1 more source

A simulation study on missing data imputation for dichotomous variables using statistical and machine learning methods. [PDF]

Sci Rep, 2023
Ge Y, Li Z, Zhang J.
europepmc   +1 more source

Overcoming Artificial Structures in Resolution‐Enhanced Hi‐C Data by Signal Decomposition and Multi‐Scale Attention

Advanced Science, EarlyView.
Deep‐learning‐based signal enhancement is an effective way to recover high‐resolution details from a low‐resolution chromatin contact map. However, due to computational challenges, existing methods commonly divide up the contact map into small patches and create artificial discontinuities at patch boundaries.
Qinyao Li, Kelly Yichen Li, Chiara Nicoletti, Stephen Kwok‐Wing Tsui, Pier Lorenzo Puri, Qin Cao, Kevin Y. Yip   +6 more
wiley   +1 more source