Results 41 to 50 of about 18,076 (303)

An Inductive Logic Programming Approach to Validate Hexose Binding Biochemical Knowledge [PDF]

, 2010
Hexoses are simple sugars that play a key role in many cellular pathways, and in the regulation of development and disease mechanisms. Current protein-sugar computational models are based, at least partially, on prior biochemical findings and knowledge ...
Houssam Nassif, Page, David, Walid Keirouz, Al-Ali, Hassan, Keirouz, Walid, Sawsan Khuri, Khuri, Sawsan, Hassan Al-Ali, Nassif, Houssam, David Page   +9 more
core   +1 more source

Pull‐and‐Push Nanotherapeutic Hydrogels: Scavenging Inflammatory Triggers While Driving Tissue Regeneration in Burn Wounds

Advanced Functional Materials, EarlyView.
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, Seong‐Jin Shin, Sak Lee, Nandin Mandakhbayar, Ji‐Hye Kang, Da‐Young Kong, Seong‐Doo Hong, Ueon Sang Shin, Hae‐Won Kim, Jung‐Hwan Lee   +9 more
wiley   +1 more source

Using inductive logic programming to discover knowledge hidden in chemical data [PDF]

, 1998
This paper demonstrates how general purpose tools from the field of Inductive Logic Programming (ILP) can be applied to analytical chemistry. As far as these authors are aware, this is the first published work to describe the application of the ILP tool ...
Adam, AE, Bryant, CH, Rowe, RC, Taylor, DR   +3 more
core   +1 more source

Leaftronics: Bio‐Fractal Scaffolds From Leaf Venation for Low‐Waste Electronics

Advanced Materials, EarlyView.
“Leaftronics” transforms naturally evolved leaf venation into quasi‐fractal scaffolds for sustainable electronics. Polymer‐infiltrated leaf skeletons can be used to fabricate ultra‐smooth, reflow‐ and thin‐film‐compatible decomposable substrates, while making the same lignocellulose networks conducting results in flexible transparent electrodes.
Rakesh Rajendran Nair, Hrisheekesh Thachoth Chandran, Karl Leo, Hans Kleemann   +3 more
wiley   +1 more source

Inductive constraint logic

, 1995
A novel approach to learning first order logic formulae from positive and negative examples is presented. Whereas present inductive logic programming systems employ examples as true and false ground facts (or clauses), we view examples as interpretations which are true or false for the target theory.
De Raedt, Luc, Van Laer, Wim
openaire   +1 more source

LLM‐Integrated Human–Robot Interaction System for Microrobots

Advanced Robotics Research, EarlyView.
This paper proposes an LLM‐based control framework for guiding microrobots using human natural language. This framework can convert the natural human speech into safe and executable command sets for reliable navigation in complex environments. The experimental results show high accuracy and robustness in task performance, demonstrating the potential of
Bairong Zhu, Amar Salehi, Tingting Yu
wiley   +1 more source

MP-SPILDL: A Massively Parallel Inductive Logic Learner in Description Logic

IEEE Access
This article presents MP-SPILDL, a massively parallel inductive logic learner in Description Logic (DL). MP-SPILDL is a scalable inductive Logic Programming (ILP) algorithm that exploits existing Big Data infrastructure to perform large-scale inductive ...
Eyad Algahtani
doaj   +1 more source

Low Size-Complexity Inductive Logic Programming: The East-West Challenge Considered as a Problem in Cost-Sensitive Classification [PDF]

, 1995
The Inductive Logic Programming community has considered proof-complexity and model-complexity, but, until recently, size-complexity has received little attention. Recently a challenge was issued "to the international computing community" to discover
Turney, Peter
core  

Inductive queries for a drug designing robot scientist [PDF]

, 2010
It is increasingly clear that machine learning algorithms need to be integrated in an iterative scientific discovery loop, in which data is queried repeatedly by means of inductive queries and where the computer provides guidance to the experiments that ...
Amanda Schierz, Andrew Sparkes, Amanda Clare, Jan Ramon, King, Ross D., Nijssen, Siegfried, Rowland, Jem J., Rowland, Jem, Jem Rowland, Sparkes, Andrew, Ross D. King, Siegfried Nijssen, Schierz, Amanda C., Clare, Amanda, Schierz, Amanda, Ramon, Jan   +15 more
core   +1 more source

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

Advanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray, Andrew R. Castillo, Manoj Kolel‐Veetil, Surya R. Kalidindi   +3 more
wiley   +1 more source