Channel capacity of the ribosome.

Translation is one of the most fundamental processes in the biological cell. Because of the central role that translation plays across all domains of life, the enzyme that carries out this process, the ribosome, is required to process information with high accuracy. This accuracy often approaches values near unity experimentally. In this paper, we model the ribosome as an information channel and demonstrate mathematically that this biological machine has information-processing capabilities that have not been recognized previously. In particular, we calculate bounds on the ribosome's theoretical Shannon capacity and numerically approximate this capacity. Finally, by incorporating estimates on the ribosome's operation time, we show that the ribosome operates at speeds safely below its capacity, allowing the ribosome to process information with an arbitrary degree of error. Our results show that the ribosome achieves a high accuracy in line with purely information-theoretic means.

Biological computation: hearts and flytraps.

The original computers were people using algorithms to get mathematical results such as rocket trajectories. After the invention of the digital computer, brains have been widely understood through analogies with computers and now artificial neural networks, which have strengths and drawbacks. We define and examine a new kind of computation better adapted to biological systems, called biological computation, a natural adaptation of mechanistic physical computation. Nervous systems are of course biological computers, and we focus on some edge cases of biological computing, hearts and flytraps. The heart has about the computing power of a slug, and much of its computing happens outside of its forty thousand neurons. The flytrap has about the computing power of a lobster ganglion. This account advances fundamental debates in neuroscience by illustrating ways that classical computability theory can miss complexities of biology. By this reframing of computation, we make way for resolving the disconnect between human and machine learning.

A Large Deviation Principle in Many-Body Quantum Dynamics.

We consider the many-body quantum evolution of a factorized initial data, in the mean-field regime. We show that fluctuations around the limiting Hartree dynamics satisfy large deviation estimates that are consistent with central limit theorems that have been established in the last years.

Advocacy and the Hand Surgeon: Why and How.

This article explains and gives examples of the importance of political advocacy for hand surgeons at the federal and state levels. Two health care leaders who are also hand surgeons, one now serving as a state Senator and one a former President of the American Medical Association, give their perspective on participation in the political process. The article covers avenues for advocacy for hand surgeons as individuals and as members of medical organizations, including suggestions about effective communication with legislators. There is discussion of the unique role of the American Society for Surgery of the Hand in representing hand surgeons.

Patient Safety Movement: History and Future Directions.

Despite progress within the past 15 years, improving patient safety in health care remains an important public health issue. The history of safety policies, research, and development has revealed that this issue is more complex than initially perceived and is pertinent to all health care settings. Solutions, therefore, must be approached at the systems level and supplemented with a change in safety culture, especially in higher risk fields such as surgery. To do so, health care agents at all levels have started to prioritize the improvement of nontechnical skills such as teamwork, communication, and accountability, as reflected by the development of various checklists and safety campaigns. This progress may be sustained by adopting teamwork training programs that have proven successful in other high-risk industries, such as crew resource management in aviation. These techniques can be readily implemented among surgical teams; however, successful application depends heavily on the strong leadership and vigilance of individual surgeons.