Social Integrating Robots Suggest Mitigation Strategies for Ecosystem Decay.

We develop here a novel hypothesis that may generate a general research framework of how autonomous robots may act as a future contingency to counteract the ongoing ecological mass extinction process. We showcase several research projects that have undertaken first steps to generate the required prerequisites for such a technology-based conservation biology approach. Our main idea is to stabilise and support broken ecosystems by introducing artificial members, robots, that are able to blend into the ecosystem's regulatory feedback loops and can modulate natural organisms' local densities through participation in those feedback loops.

A four-group urine risk classifier for predicting outcomes in patients with prostate cancer.

Objectives: To develop a risk classifier using urine-derived extracellular vesicle (EV)-RNA capable of providing diagnostic information on disease status prior to biopsy, and prognostic information for men on active surveillance (AS).

Patients And Methods: Post-digital rectal examination urine-derived EV-RNA expression profiles (n = 535, multiple centres) were interrogated with a curated NanoString panel. A LASSO-based continuation ratio model was built to generate four prostate urine risk (PUR) signatures for predicting the probability of normal tissue (PUR-1), D'Amico low-risk (PUR-2), intermediate-risk (PUR-3), and high-risk (PUR-4) prostate cancer.

Robots mediating interactions between animals for interspecies collective behaviors.

Self-organized collective behavior has been analyzed in diverse types of gregarious animals. Such collective intelligence emerges from the synergy between individuals, which behave at their own time and spatial scales and without global rules. Recently, robots have been developed to collaborate with animal groups in the pursuit of better understanding their decision-making processes.

Evolutionary Connectionism: Algorithmic Principles Underlying the Evolution of Biological Organisation in Evo-Devo, Evo-Eco and Evolutionary Transitions.

The mechanisms of variation, selection and inheritance, on which evolution by natural selection depends, are not fixed over evolutionary time. Current evolutionary biology is increasingly focussed on understanding how the evolution of developmental organisations modifies the distribution of phenotypic variation, the evolution of ecological relationships modifies the selective environment, and the evolution of reproductive relationships modifies the heritability of the evolutionary unit. The major transitions in evolution, in particular, involve radical changes in developmental, ecological and reproductive organisations that instantiate variation, selection and inheritance at a higher level of biological organisation.

The evolution of phenotypic correlations and "developmental memory".

Development introduces structured correlations among traits that may constrain or bias the distribution of phenotypes produced. Moreover, when suitable heritable variation exists, natural selection may alter such constraints and correlations, affecting the phenotypic variation available to subsequent selection. However, exactly how the distribution of phenotypes produced by complex developmental systems can be shaped by past selective environments is poorly understood.

Are transrectal prostate biopsies routinely indicated in patients with incidentally diagnosed prostate cancer following transurethral resection of the prostate for benign disease?

Objective: To determine the indication of routine transrectal ultrasound-guided needle biopsy (TRUSBx) of the prostate gland following incidental cancer diagnosis after transurethral resection of the prostate (TURP) for benign prostatic hyperplasia.

Materials And Methods: A multi-institutional search identified 63 patients with incidental TURP-diagnosed prostate cancer from 2001 to 2010, who underwent subsequent TRUSBx or radical prostatectomy (RP). The Gleason scores from TURP were compared to those from TRUSBx or RP.

Global adaptation in networks of selfish components: emergent associative memory at the system scale.

In some circumstances complex adaptive systems composed of numerous self-interested agents can self-organize into structures that enhance global adaptation, efficiency, or function. However, the general conditions for such an outcome are poorly understood and present a fundamental open question for domains as varied as ecology, sociology, economics, organismic biology, and technological infrastructure design. In contrast, sufficient conditions for artificial neural networks to form structures that perform collective computational processes such as associative memory/recall, classification, generalization, and optimization are well understood.

"If you can't be with the one you love, love the one you're with": how individual habituation of agent interactions improves global utility.

Simple distributed strategies that modify the behavior of selfish individuals in a manner that enhances cooperation or global efficiency have proved difficult to identify. We consider a network of selfish agents who each optimize their individual utilities by coordinating (or anticoordinating) with their neighbors, to maximize the payoffs from randomly weighted pairwise games. In general, agents will opt for the behavior that is the best compromise (for them) of the many conflicting constraints created by their neighbors, but the attractors of the system as a whole will not maximize total utility.

Continent urinary diversion.

During the last decade continent urinary diversion, especially orthotopic bladder substitution has become increasingly popular following radical cystectomy for bladder cancer. In general, if sphincter sparing surgery is possible, orthotopic bladder substitution is performed, if not then continent catheterisable reservoirs are a viable option. Strict patient selection criteria and improved surgical technique have had a positive influence on outcome, not only on survival but also on quality of life issues.