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Bruno Maresca

Publications and source records attributed to Bruno Maresca.

2 recordsLinked to original sources

Biomimetic temperature sensing layer for artificial skins

Artificial membranes that are sensitive to temperature are needed in robotics to augment interactions with humans and the environment and in bioengineering to improve prosthetic limbs. Existing flexible sensors achieved sensitivities of <100 mK and large responsivity albeit within narrow (<5 K) temperature ranges. Other flexible devices, working in wider temperature ranges, exhibit orders of magnitude poorer responses. However, much more versatile and temperature sensitive membranes are present in animals such as pit vipers, whose pit membranes have the highest sensitivity and responsivity in nature and are used to locate warm-blooded preys at distance. Here, we show that pectin films mimic the sensing mechanism of pit membranes and parallel their record performances. These films map temperature on surfaces with a sensitivity of at least 10 mK in a wide temperature range (45 K), have very high responsivity, and detect warm bodies at distance. The produced material can be integrated as a layer in artificial skins platforms and boost their temperature sensitivity to reach the best biological performance.

cond-mat.mtrl-sci

Hox genes underlie metazoan development, but what controls them?

Although metazoan development is conceived as resulting from gene regulatory networks (GRNs) controlled by Hox genes, a better analogy is computer architecture: i.e., a task accomplished in sequential steps linked to an external referent that "counts" each step. A developmental "step" equals the expression of genes in specific cells at specific times and telomeres represent external "counters" wherein "counting" is a function of telomere shortening at each cell division that permits the sequential expression of Hox genes and, ultimately, complex form. Metazoan development thus best resembles a Turing machine, which could be used to model the development of any metazoan.

q-bio.GN