Results 101 to 110 of about 1,042,976 (291)

Nuclear Pore Mechanotransduction in Oncology: A Structural Axis of Vulnerability for Targeted Intervention

Advanced Materials, EarlyView.
Cancer‐associated NPC remodeling creates a high‐flux, low‐stringency nuclear state that supports malignant adaptation but increases mechanical fragility. Targeting the FG‐barrier or NPC scaffold may drive mechanostat failure, envelope rupture, DNA damage, and loss of nuclear integrity.
Sílvio Terra Stefanello, Caren Rigon Mizdal, Aline Franzen da Silva, Yun Qian, Wei‐En Yuan, Victor Shahin   +5 more
wiley   +1 more source

ProbLog2: Probabilistic Logic Programming [PDF]

, 2015
We present ProbLog2, the state of the art implementation of the probabilistic programming language ProbLog. The ProbLog language allows the user to intuitively build programs that do not only encode complex interactions between a large sets of heterogenous components but also the inherent uncertainties that are present in real-life situations.
Dries, Anton, Kimmig, Angelika, Meert, Wannes, Renkens, Joris, Van den Broeck, Guy, Vlasselaer, Jonas, De Raedt, Luc   +6 more
openaire   +2 more sources

Compiling Probabilistic Logic Programs into Sentential Decision Diagrams

, 2014
Knowledge compilation algorithms transform a probabilistic logic program into a circuit representation that permits efficient probability computation. Knowledge compilation underlies algorithms for exact probabilistic inference and parameter learning in ...
Vlasselaer, Jonas,, De Raedt, Luc,, Van den Broeck, Guy,, Renkens, Joris,   +3 more
core  

Abduction in Probabilistic Logic Programs

, 2022
The representation of scenarios drawn from real-world domains is certainly favored by the presence of simple but powerful languages capable of capturing all facets of the problem.
Bellodi E., Zese R., Riguzzi F., Azzolini D., Ferilli S.   +4 more
core   +1 more source

Descriptors to Dynamics: A Materials and Device Perspective on in‐Materio Physical Reservoir Computing for Neuromorphic Edge Intelligence

Advanced Materials, EarlyView.
Intrinsic material dynamics are harnessed as computational resources for neuromorphic in‐materio physical reservoir computing. Defects, ionic motion, interfaces, percolation, geometry, and biasing shape transient states that provide fading memory, nonlinearity, and high‐dimensional projection for simple readout. A descriptor‐to‐dynamics framework links
Kshitij RB Singh, Alif Syafiq Kamarol Zaman, Muzhen Xu, Yuki Usami, Saptarshi Das, Hirofumi Tanaka   +5 more
wiley   +1 more source

Deep probabilistic logic programming

, 2017
Probabilistic logic programming under the distribution semantics has been very useful in machine learning. However, inference is expensive so machine learning algorithms may turn out to be slow.
RIGUZZI, Fabrizio, NGUEMBANG FADJA, Arnaud, LAMMA, Evelina   +2 more
core  

Improving Candidate Quality of Probabilistic Logic Models [PDF]

, 2018
Many real-world phenomena exhibit both relational structure and uncertainty. Probabilistic Inductive Logic Programming (PILP) uses Inductive Logic Programming (ILP) extended with probabilistic facts to produce meaningful and interpretable models for real-
Côrte-Real, Joana, Rocha, Ricardo, Dries, Anton, Dutra, Inês   +3 more
core   +1 more source

Recent Advances in Plasma‐Enhanced Atomic Layer Etching for Next‐Generation Nanofabrication

Advanced Materials Interfaces, EarlyView.
Continued semiconductor miniaturization demands atomic‐scale patterning and ultralow surface roughness beyond the capabilities of conventional reactive ion etching. This review highlights advances in isotropic and anisotropic plasma‐enhanced atomic layer etching since 2020, covering fundamental mechanisms, applications across major semiconductor ...
Shih‐Nan Hsiao
wiley   +1 more source

Unbiased logic-tree data for earthquake-induced landslide hazard maps for low-to-moderate magnitude events

Data in Brief, 2020
Land-use planning in regard of earthquake-triggered landslides is usually implemented by means of the production of hazard maps. The well-known Newmark rigid block methodology is the most frequent used approach for this purpose.
Martín J. Rodríguez-Peces, José C. Román-Herrera, José A. Peláez, José Delgado, Meaza Tsige, Salvatore Martino, Jesús Garrido   +6 more
doaj   +1 more source

Learning Effect Axioms via Probabilistic Logic Programming [PDF]

, 2018
In this paper we showed how we can automatically learn the structure and parameters of probabilistic effect axioms for the Simple Event Calculus (SEC) from positive and negative example interpretations stated as short dialogue sequences in natural ...
Schwitter, Rolf
core   +1 more source