Results 231 to 240 of about 7,040,431 (319)

Computing First-Order Logic Programs by Fibring Artificial Neural Networks [PDF]

open access: gold, 2005
Sebastian Bader   +2 more
openalex  

Polylactic Acid (PLA), Polycaprolactone (PCL), and Chitosan: the Biodegradable Transition in Medical Waste Management

open access: yesAdvanced Sustainable Systems, EarlyView.
The shift to biodegradable materials in healthcare promises reduced plastic pollution, but their production, adoption, and long‐term impacts remain complex. Integrating lifecycle insights with global policy coordination is essential for meaningful environmental gains. Abstract The COVID‐19 pandemic sharply increased medical waste, intensifying concerns
By Haoxuan Yu   +2 more
wiley   +1 more source

TVB C++: A Fast and Flexible Back‐End for The Virtual Brain

open access: yesAdvanced Science, EarlyView.
TVB C++ is a streamlined and fast C++ Back‐End for The Virtual Brain (TVB), designed to make it as flexible as TVB, and FAST. Another pillar is to be fully compatible with TVB so easy bindings can be created from Python. Users can easily configure TVB C++ to execute the same code but with enhanced performance and parallelism.
Ignacio Martín   +7 more
wiley   +1 more source

A Modular and Customizable CRISPR/Cas Toolkit for Epigenome Editing of Cis‐regulatory Modules

open access: yesAdvanced Science, EarlyView.
Epigenome editing surpasses genome editing in gene regulation. Modular epigenome editing frameworks are developed to interrogate cis‐regulome, enabling tunable reprogramming of cis‐elements, uncovering their epigenetic responsiveness and cross‐species portability.
Lingrui Zhang   +6 more
wiley   +1 more source

First-Order Loop Formulas for Normal Logic Programs.

open access: gold, 2006
Yin Chen   +3 more
openalex   +1 more source

Data‐Driven Fatigue Prediction of Superalloys: A Novel Strategy Integrating Transfer Learning and Partial Label Learning for Addressing Ambiguous Data

open access: yesAdvanced Science, EarlyView.
A novel machine learning strategy tackles ambiguous compositional data to predict superalloy fatigue. By integrating partial label with transfer learning and enriching features through thermodynamic calculations, this approach achieves superior accuracy and interpretability.
Haopeng Lv   +10 more
wiley   +1 more source

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