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In the rapidly evolving landscape of machine learning research, neural networks stand out with their ever-expanding number of parameters and reliance on increasingly large datasets. The financial cost and computational resources required for the training p ...
This thesis consists of four Chapters unified by a singular theme â how do we develop disease models that faithfully reproduce the pathology seen in patients suffering from neurodegenerative disorders associated with the Tau protein, such as Alzheimerâ ...
Natural Language Processing (NLP) has become increasingly utilized to provide adaptivity in educational applications. However, recent research has highlighted a variety of biases in pre-trained language models. While existing studies investigate bias in di ...
Flow properties are investigated for a non-crimp glass fabric with large meso-channels designed for high-permeability, as compared to glass twill woven fabric. Saturated and unsaturated permeability are measured through in-plane, unidirectional, constant-p ...
I. Introduction Wavelets are the result of collective efforts that recognized common threads between ideas and concepts that had been independently developed and investigated by distinct research communities. They provide a unifying framework for decompos ...
In summer 2011, the two Russian MIR submersibles were brought to Switzerland to perform deep water dives in Lake Geneva. Research teams from several environmental science institutes, both national and international, participated in this interdisciplinary e ...
The high pressure neurological syndrome develops during deep-diving (> 1.1 MPa) involving impairment of cognitive functions, alteration of synaptic transmission and increased excitability in cortico-hippocampal areas. The medial perforant path (MPP), conne ...
