Results 91 to 100 of about 4,926,046 (277)

Optimal decision trees for categorical data via integer programming

Journal of Global Optimization, 2021
O. Günlük, J. Kalagnanam, Minhan Li, Matt Menickelly, K. Scheinberg   +4 more
semanticscholar   +1 more source

The Route to Artery Mimetics: Hybrid Bioinks for Embedded Bioprinting of Multimaterial Cylindrical Models

Advanced Functional Materials, EarlyView.
The fabrication of a cellularized, multilayered 3D printed cylindrical model comprising hybrid bioinks inspired by the natural extracellular environment as an approach to artery mimetics, is presented. Using embedded bioprinting, interlayer crosslinking of self‐supporting concentric cylinders is achieved.
Uxue Aizarna‐Lopetegui, Ada Herrero‐Ruiz, Monize C. Decarli, Ane Urigoitia‐Asua, Karla Chavarri‐Urraca, Lorenzo Moroni, Malou Henriksen‐Lacey, Dorleta Jimenez de Aberasturi   +7 more
wiley   +1 more source

Unsupervised Decision Trees for Axis Unimodal Clustering

Information
The use of decision trees for obtaining and representing clustering solutions is advantageous, due to their interpretability property. We propose a method called Decision Trees for Axis Unimodal Clustering (DTAUC), which constructs unsupervised binary ...
Paraskevi Chasani, Aristidis Likas
doaj   +1 more source

Near-optimal linear decision trees for k-SUM and related problems [PDF]

, 2018
Daniel M. Kane, Shachar Lovett, Shay Moran   +2 more
openalex   +1 more source

Matrix Tropism Influences Endometriotic Cell Attachment Patterns

Advanced Functional Materials, EarlyView.
The influence of substrate stiffness and multicellular coculture on endometriotic cell attachment to extracellular matrix‐laden microarrayed islands is reported. This model investigates early endometriotic cell attachment, aiming to capture “lesion initiation events”.
Hannah S. Theriault, Hannah R.C. Kimmel, Alison C. Nunes, Allison L. Paxhia, Sarah Hashim, Kathryn B.H. Clancy, Gregory H. Underhill, Brendan A.C. Harley   +7 more
wiley   +1 more source

Machine Learning‐Enabled Polymer Discovery for Enhanced Pulmonary siRNA Delivery

Advanced Functional Materials, EarlyView.
This study provides an efficient approach to train a machine learning model by merging heterogeneous literature data to predict suitable polymers for siRNA delivery. Without the need for extensive laboratory synthesis, the machine learning enabled a virtual screening and successfully predicted a polymer that is validated for effective gene silencing in
Felix Sieber‐Schäfer, Min Jiang, Adrian Kromer, Anny Nguyen, Müge Molbay, Simone Pinto Carneiro, David Jürgens, Gerald Burgstaller, Bastian Popper, Benjamin Winkeljann, Olivia Monika Merkel   +10 more
wiley   +1 more source

Endocytic Programming via Porous Silicon Nanoparticles Enhances TLR4 Nanoagonist Potency for Macrophage‐Mediated Immunotherapy

Advanced Functional Materials, EarlyView.
Porous silicon nanoparticles (PSiNPs) reprogram macrophage endocytosis of manganese@albumin‐based TLR4 nanoagonists, driving TRIF‐biased TLR4 signaling, eliciting robust proinflammatory responses, and potentiating macrophage‐mediated immunotherapeutic effects against NSCLC.
Xiaomei Zhang, Huiying Li, Shuodan Huang, Linxuan Zhang, Yan Gao, Ruoran Wang, Xiaoyu Wang, Hélder A. Santos, Zhenyu Yin, Bing Xia   +9 more
wiley   +1 more source

Cholesterol in mRNA‐Lipid Nanoparticles can be Replaced with the Synthetic Mycobacterial Monomycoloyl Glycerol Analogue MMG‐1

Advanced Functional Materials, EarlyView.
This study demonstrates that cholesterol in messenger RNA‐lipid nanoparticles (mRNA‐LNPs) can be completely replaced with an immunopotentiating lipid, i.e., a synthetic analogue of the C‐type lectin receptor agonist monomycoloyl glycerol (MMG‐1), without compromising physicochemical properties, in vivo transfection efficiency, and immunogenicity of the
Abhijeet G. Lokras, Saahil S. Baghel, Rune F. Jensen, Aneesh Thakur, Henrik Franzyk, Oskar Thofte, Marco Herrera‐Barrera, Madeleine Landry, Melike Ongun, Ahmad Tami, Marlene P. Thanthrige, Eva Callens, Corinne Beinat, Thomas Rades, Søren R. Paludan, Kristian Riesbeck, Ida Rosenkrands, Dennis Christensen, Gabriel K. Pedersen, Camilla Foged   +19 more
wiley   +1 more source

Minimizing Size of Decision Trees for Multi-label Decision Tables [PDF]

Annals of computer science and information systems, 2014
Mohammad Azad, Mikhail Moshkov
doaj   +1 more source

Flux‐Regulated Crystallization of Perovskites Using Machine Learning‐Predicted Solvent Evaporation Rates for X‐Ray Detectors

Advanced Functional Materials, EarlyView.
By integrating machine learning into flux‐regulated crystallization (FRC), accurate prediction of solvent evaporation rates in real time, improving crystallization control and reducing crystal growth variability by over threefold, is achieved. This enhances the reproducibility and quality of perovskite single crystals, leading to reproducible ...
Tatiane Pretto, Sergey Dayneko, Antoine Pavesic Junior, Nicholas Sandor, Alexander Hart, Yuki Haruta, Magdalena Bazalova‐Carter, Marcos J. L. Santos, Makhsud I. Saidaminov   +8 more
wiley   +1 more source