Continuing the theme of the last episode which dealt with Orthodoxy as Paradoxy, Dr. Rossi talks about the need to embrace ambiguity.

In an earlier podcast, Dr. Rossi dealt with our need to embrace ambiguity as a way to become a healing presence. After receiving an email from a listener, he continues with this theme today.

We investigate ambiguity for symmetric difference nondeterministic finite automata. We show the existence of unambiguous, finitely ambiguous, polynomially ambiguous and exponentially ambiguous symmetric difference nondeterministic finite automata. We show that, for each of these classes, there is a family of n-state nondeterministic finite automata such that the smallest equivalent deterministic finite automata have O(2ⁿ) states.

The inherent ambiguity in reconstructed images from coherent diffraction imaging (CDI) poses an intrinsic challenge, as images derived from the same dataset under varying initial conditions often display inconsistencies. This study introduces a method that employs the Noise2Noise approach combined with neural networks to effectively mitigate these ambiguities. We applied this methodology to hundreds of ambiguous reconstructed images retrieved from a single diffraction pattern using a conventional retrieval algorithm. Our results demonstrate that ambiguous features in these reconstructions are effectively treated as inter-reconstruction noise and are significantly reduced. The post-Noise2Noise treated images closely approximate the average and singular value decomposition analysis of various reconstructions, providing consistent and reliable reconstructions.

This is a guest contribution by Carlos Manrique Clavijo. Carlos Manrique Clavijo is a Colombian/Australian sound editor/sound designer and animation producer based in South Australia. He’s worked on award winning fiction, documentary and predominantly, animation from 2002. With Ana María Méndez, he is the co-founder of animation company, KaruKaru. Carlos has taught film sound design, […]

National Bureau of Economic Research

An expectation maximization algorithm is implemented to resolve the indexing ambiguity which arises when merging data from many crystals in protein crystallography, especially in cases where partial reflections are recorded in serial femtosecond crystallography (SFX) at XFELs.

Ambiguity arises in a decision-making process when there is more than one way of interpreting a problematic situation. A new study has explored five possible strategies to overcome ambiguity in natural resources management – rational problem solving, persuasive communication, learning through dialogue, negotiation and opposition. A case study of water management in Spain is given to illustrate how these strategies have been used.

"... The report has been prepared for the purpose of highlighting several areas of concern I have about governance arrangements in SA Health that contribute to risks of corruption, misconduct and maladministration...." -- page 4.

This paper presents an analysis of business development programs (BDPs) based on a theoretical framework aimed at understanding the mixed effect of business training on entrepreneurs.

This paper presents an analysis of business development programs (BDPs) based on a theoretical framework aimed at understanding the mixed effect of business training on entrepreneurs.

Online Resource

Rotch Library - NA2750.M38 2019