Results 101 to 110 of about 106,090 (293)

Applications of Granger causality to biological data [PDF]

open access: yes
In computational biology, one often faces the problem of deriving the causal relationship among different elements such as genes, proteins, metabolites, neurons and so on, based upon multi-dimensional temporal data.
Zou, Cunlu
core  

Entanglement, Information, Causality

open access: yesEPJ Web of Conferences, 2014
The paper is divided in two parts. In the first one a summary of the main issues about quantum non–locality is provided. In the second part, the connections with information and causality are considered.
Auletta Gennaro
doaj   +1 more source

Transducers Across Scales and Frequencies: A System‐Level Framework for Multiphysics Integration and Co‐Design

open access: yesAdvanced Materials Technologies, EarlyView.
Transducers convert physical signals into electrical and optical representations, yet each mechanism is bounded by intrinsic trade‐offs across bandwidth, sensitivity, speed, and energy. This review maps transduction mechanisms across physical scale and frequency, showing how heterogeneous integration and multiphysics co‐design transform isolated ...
Aolei Xu   +8 more
wiley   +1 more source

The Granger-Causality between Transportation and GDP: A Panel Data Approach [PDF]

open access: yes
This study investigates the Granger-causality relationship between real per capita GDP and transportation of EU-15 countries using a panel data set covering the period 1970-2008.
Ý. Hakan Yetkiner   +2 more
core  

Non-local common cause explanations for EPR [PDF]

open access: yes, 2013
The paper argues that a causal explanation of the correlated outcomes of EPR-type experiments is desirable and possible. It shows how Bohmian mechanics and the GRW mass density theory offer such an explanation in terms of a non-local common ...
Michael Esfeld   +5 more
core   +1 more source

Local Causal Discovery with Background Knowledge

open access: yesIEEE Transactions on Pattern Analysis and Machine Intelligence
Causality plays a pivotal role in various fields of study. Based on the framework of causal graphical models, previous works have proposed identifying whether a variable is a cause or non-cause of a target in every Markov equivalent graph solely by learning a local structure.
Qingyuan Zheng, Yue Liu, Yangbo He
openaire   +2 more sources

The pivotal role of causality in local quantum physics [PDF]

open access: yesJournal of Physics A: Mathematical and General, 1999
In this article an attempt is made to present very recent conceptual and computational developments in QFT as new manifestations of old and well establihed physical principles. The vehicle for converting the quantum-algebraic aspects of local quantum physics into more classical geometric structures is the modular theory of Tomita.
openaire   +2 more sources

Auditory–Tactile Congruence for Synthesis of Adaptive Pain Expressions in RoboPatients

open access: yesAdvanced Robotics Research, EarlyView.
In this work, we explore auditory–tactile congruence for synthesizing adaptive vocal pain expressions in robopatients. Using a robopatient platform that integrates vocal pain sounds with palpation forces, we conducted 7680 trials across 20 participants.
Saitarun Nadipineni   +4 more
wiley   +1 more source

Public Debt and Economic Growth: a Granger Causality Panel Data Approach [PDF]

open access: yes
This paper analyses the Granger-causality relationship between the growth of the real GDP per capita and the public debt, here represented by the ratio of the current primary surplus/GDP and the ratio of the gross Government debt/GDP.
António Afonso, Sebastian Hauptmeier
core  

Intelligent Maintenance Review for Robots: Multimodal Information, Deep Diagnosis and Embodied Artificial Intelligence

open access: yesAdvanced Robotics Research, EarlyView.
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao   +6 more
wiley   +1 more source

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