It further elaborates the relevance of middle-range conceptual frameworks, causal mechanisms, process tracing, and narrative explanation for socio-technical transitions research. Section 4 not only shows that the heuristic use of theories is epistemologically legitimate, but also that it is especially ...
A unique bank with innovation and a pioneering spirit The CSR strategy of the Bank is a significant component of the Bank's overall strategy, follows the vision and mission of the overall strategy, and is designed and executed under the guidance of the Bank's values and implementation philosoph...
before laying out the approach itself. Each stage of the approach is illustrated with reference to LIG's initial development and application to the study of livelihoods decisions in Ghana's Central Region, demonstrating in a step-by-step manner the theoretical component addressed, data gathered, an...
Sea ice is the central component and most sensitive indicator of the Arctic climate system. Both the depletion and areal decline of the Arctic sea ice cove... R D?Scher,T Vihma,E Maksimovich - 《Atmospheric Chemistry & Physics》 被引量: 53发表: 2014年 Specificity in Transition State Bind...
The present disclosure provides systems, devices, and methods of utilizing signal-processing techniques to detect at least one degrading component of a power conversion unit located in an energy generation or storage unit. The systems, d... N Wank - EP 被引量: 8发表: 2010年 ...
Explanation of Cox-2 Inhibitors (Cox-2 inhibitor drugs) used to treat the pain of arthritis conditions Search 18F-FDG PET/CT associated with Increase Expressor High-Grade B-Cell Lymphoma in an Remote Upper body Wall membrane Posted onDecember 10, 2024 ...
Our data confirm that intelligence, here conceived as a crucial component of the Openness/Intellect trait domain, has a strong positive effect on most outcomes: credit score, job persistence, and Body Mass Index (the exception is truck accidents). These effects are in all cases not attributable...
a mathematical construct that reflects both the literal, physical curvature of space in the presence of masses and the figurative, mathematical curvature of time, with this latter curvature an unavoidable consequence of being one coordinate of a system that has a physically curved component (space)....
We propose a formal framework for interpretable machine learning. Combining elements from statistical learning, causal interventionism, and decision theory
In this section, we first begin the description of our approach with two core definitions. Thereafter, we give an overview of XAI4EEG and then we describe each component in turn. While the underlying idea of our approach might be useful for other problem domains, we focus on the special ch...