Results 111 to 120 of about 629,043 (341)
A nanounit‐assembled hydrogel employing a “pull‐and‐push” strategy simultaneously scavenges pro‐inflammatory cell‐free DNA (cfDNA) and delivers regenerative therapeutics in response to burn‐induced hyperthermia. By repolarizing macrophages and promoting angiogenesis, this multifunctional platform accelerates burn wound healing, offering a blueprint for
Han‐Sem Kim +9 more
wiley +1 more source
Efficient data structures for inductive logic programming
This work aims at improving the scalability of memory usage in Inductive Logic Programming systems. In this context, we propose two ecient data structures: the Trie, used to represent lists and clauses; and the RL-Tree, a novel data structure used to ...
Rui Camacho +4 more
core +1 more source
Recursive Program Optimization Through Inductive Synthesis Proof Transformation [PDF]
The research described in this paper involved developing transformation techniques which increase the efficiency of the noriginal program, the source, by transforming its synthesis proof into one, the target, which yields a computationally more efficient
Bundy, Alan +5 more
core +1 more source
All‐solution‐processed, low‐cost extended short‐wavelength infrared photodetectors are realized by coupling colloidal HgTe quantum dots to plasmonic In2O3:Sn,F nanocrystals. Localized surface plasmon resonances boost and spectrally tailor light absorption between 1500 and 3000 nm, enabling responsivities above 40 A W−1.
Kseniia A. Sergeeva +9 more
wiley +1 more source
Dynamics of Inductive Inference in a Unified Framework [PDF]
We present a model of inductive inference that includes, as special cases, Bayesian reasoning, case-based reasoning, and rule-based reasoning. This unified framework allows us to examine, positively or normatively, how the various modes of inductive ...
Itzhak Gilboa +2 more
core
Genetic programming and deductive-inductive learning: a multistrategy approach [PDF]
Proceedings of: 15th International Conference on Machine Learning, Madison (Wisconsin, USA), July 24-27, 1998.Genetic Programming (GP) is a machine learning technique that was not conceived to use domain knowledge for generating new candidate solutions ...
Borrajo, Daniel +5 more
core
Coagulative granular hydrogels are composed of packed thrombin‐functionalized microgels that catalyze the conversion of fibrinogen into a secondary fibrin network, filling the interstitial voids. This bio‐inspired approach stabilizes the biomaterial to match the robustness of bulk hydrogels without compromising injectability, mimicking the initial ...
Zhipeng Deng +16 more
wiley +1 more source
The repair and regeneration of brain tissue faces both biological and technical challenges. Injectable bioscaffolds offer new opportunities to stimulate tissue regrowth in the brain by recruiting neural stem cells. Here, the translational issues are reviewed that need to be address to advance this promising new therapeutic approach from the bench to ...
Michel Modo, Alena Kisel
wiley +1 more source
Natural Biomaterials for Osteochondral Repair: From Source to Strategy
Biological origin‐guided overview of natural biomaterials and therapeutic strategies for osteochondral tissue engineering. The circular diagram categorizes representative materials and strategies into plant/algae‐derived, microbial‐derived, animal‐derived, and human‐derived sources, centered on an osteochondral defect repair model.
Hengyu Liu +5 more
wiley +1 more source
Inductive programming is concerned with the automated construction of declarative, often functional, recursive programs from incomplete specifications such as input/output examples.
Kitzelmann, Emanuel +2 more
core

