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Rule Extraction in Trained Feedforward Deep Neural Networks
Explainability is a key aspect of machine learning, necessary for ensuring transparency and trust in decision-making processes. As machine learning models become more complex, the integration of neural and symbolic approaches...
The Trust in Voting Systems (TVS) Measure
It is essential to democracy that voters trust voting systems enough to participate in elections and use these systems. Unfortunately, voter trust has been found to be low in many situations, which could detrimentally impact...
Towards standard electrolytes for sodium-ion batteries
The currently emerging sodium-ion battery technology is in need of an optimized standard organic solvent electrolyte based on solid and directly comparable data. With this aim we have made a systematic study of "simple"...
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Reimagining the Audience-Dancer Relationship Through Mobile Augmented Reality
The research and development of an augmented reality (AR) application for Vancouver-based dance company Small Stage challenged a team of students at a graduate digital media program to understand how AR might reinvent the...
The Grizzly, March 3, 2005
Students Connect at the Job and Internship Fair Who's Teaching Your Class Today? Jet Heiko of Turn Your Back on Bush Visits UC Davis Lecturer Stresses Oral Tradition "The Stories of Our Lives": Presentation by Reverend...
Published by: Ursinus College
Quantitative 3D imaging parameters improve prediction of hip osteoarthritis outcome
Abstract: Osteoarthritis is an increasingly important health problem for which the main treatment remains joint replacement. Therapy developments have been hampered by a lack of biomarkers that can reliably predict disease...
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A Case Study on the Integration of Cannabis Law Enforcement in New Jersey
Legalized medical cannabis is implemented in 44 states in the USA while recreational marijuana legislation has challenged the law enforcement community. The public safety concerns of citizens involve a perceived increase in...
Tracking Cancer Evolution Reveals Constrained Routes to Metastases
Clear-cell renal cell carcinoma (ccRCC) exhibits a broad range of metastatic phenotypes that have not been systematically studied to date. Here, we analyzed 575 primary and 335 metastatic biopsies across 100 patients with...
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Quantitative 3D imaging parameters improve prediction of hip osteoarthritis outcome.
Osteoarthritis is an increasingly important health problem for which the main treatment remains joint replacement. Therapy developments have been hampered by a lack of biomarkers that can reliably predict disease, while 2D...
Published by: Scientific reports
Beneath Time and Reflection
Claudia Serban
Dec 21, 2016
Ever since The Essence of Manifestation (1963), Michel Henry’s phenomenologydeveloped in a close dialogue with Husserl. This confrontation led Henry, in 1995,to formulate the project of a “non-intentional phenomenology,” which...
Beneath Time and Reflection
Claudia Serban
Dec 21, 2016
Ever since The Essence of Manifestation (1963), Michel Henry’s phenomenologydeveloped in a close dialogue with Husserl. This confrontation led Henry, in 1995,to formulate the project of a “non-intentional phenomenology,” which...
Reviewing the Social GRACES
The Social Graces framework is increasingly used within training institutions, as a means of encouraging learners to critically explore issues of social difference. Attending to issues of power and diversity is believed to help...
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Reviewing the Social GRACES
The Social Graces framework is increasingly used within training institutions, as a means of encouraging learners to critically explore issues of social difference. Attending to issues of power and diversity is believed to help...
Published by:
Acetylcholine-modulated plasticity in reward-driven navigation
Neuromodulation plays a fundamental role in the acquisition of new behaviours. In previous experimental work, we showed that acetylcholine biases hippocampal synaptic plasticity towards depression, and the subsequent application...
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