Results 141 to 150 of about 962,663 (328)

Engineered MSC Aggregates with E/N‐Cadherin and IL‐6 Preconditioning for the Treatment of Systemic Sclerosis

open access: yesAdvanced Healthcare Materials, EarlyView.
Engineered 3D‐Cad/IL6‐MSC, developed through synergistic hE/N‐cad‐Fc and IL‐6 preconditioning, show remarkable therapeutic potential for systemic sclerosis. These engineered MSC aggregates reduce pathogenic inflammatory cell infiltration and restore immune balance among CD4+ T‐cell populations, offering a promising approach to optimize MSC based ...
Yue Zhang   +11 more
wiley   +1 more source

Unsupervised Decision Trees for Axis Unimodal Clustering

open access: yesInformation
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

Engineering a Human‐Sized Common Bile Duct Prototype with Regenerative Potential: In Vitro Evaluation of Mechanics, Function, Degradation, and Immune Modulation

open access: yesAdvanced Healthcare Materials, EarlyView.
This study presents a multiphasic bile duct construct composed of biocompatible materials and cells, featuring an inner layer that supports biliary epithelium growth, a middle layer providing mechanical strength, and an outer cell‐permissive layer designed to support future in vivo integration.
Mattia Pasqua   +9 more
wiley   +1 more source

An Experimental Comparison of Self-Adaptive Differential Evolution Algorithms to Induce Oblique Decision Trees

open access: yesMathematical and Computational Applications
This study addresses the challenge of generating accurate and compact oblique decision trees using self-adaptive differential evolution algorithms. Although traditional decision tree induction methods create explainable models, they often fail to achieve
Rafael Rivera-López   +3 more
doaj   +1 more source

Causal Discovery and Classification Using Lempel-Ziv Complexity [PDF]

open access: yesarXiv
Inferring causal relationships in the decision-making processes of machine learning algorithms is a crucial step toward achieving explainable Artificial Intelligence (AI). In this research, we introduce a novel causality measure and a distance metric derived from Lempel-Ziv (LZ) complexity.
arxiv  

Induction of Ordinal Decision Trees [PDF]

open access: yes
This paper focuses on the problem of monotone decision trees from the point of view of the multicriteria decision aid methodology (MCDA). By taking into account the preferences of the decision maker, an attempt is made to bring closer similar research ...
Bioch, J.C., Popova, V.
core   +1 more source

State‐of‐the‐Art, Insights, and Perspectives for MOFs‐Nanocomposites and MOF‐Derived (Nano)Materials

open access: yesAdvanced Materials, EarlyView.
Different approaches to MOF‐NP composite formation, such as ship‐in‐a‐bottle, bottle‐around‐the‐ship and in situ one‐step synthesis, are used. Owing to synergistic effects, the advantageous features of the components of the composites are beneficially combined, and their individual drawbacks are mitigated.
Stefanos Mourdikoudis   +6 more
wiley   +1 more source

Decision Trees [PDF]

open access: yesACM Inroads, 2019
Marie desJardins   +2 more
openaire   +3 more sources

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