Minimally invasive osteotomy for distal radius malunion: A preliminary series of 9 cases

AbstractThe rate of malunion after distal radius fractures is 25% after conservative treatment and 10% after surgery. Their main functional repercussion related to ulno-carpal conflict is loss of wrist motion. We report a retrospective clinical series of minimally invasive osteotomies. The series consisted of 9 cases of minimally invasive osteotomies with volar locking plate fixation. All osteotomies healed. The average pain was 5.3/10 preoperatively and 2.1/10 at last follow-up. The mean Quick DASH was 55.4/100 preoperatively and 24.24/100 at last follow-up. Compared to the opposite side, the average wrist flexion was 84.11%, the average wrist extension was 80.24%, the average pronation was 95.33% and the average supination was 93.9%. With similar results to those of the literature, our short series confirms the feasibility of minimally invasive osteotomy of the distal radius for extra-articular malunion.TypeCase-series.Level of evidenceIV

Computing with bacterial constituents, cells and populations: from bioputing to bactoputing

The relevance of biological materials and processes to computing—aliasbioputing—has been explored for decades. These materials include DNA, RNA and proteins, while the processes include transcription, translation, signal transduction and regulation. Recently, the use of bacteria themselves as living computers has been explored but this use generally falls within the classical paradigm of computing. Computer scientists, however, have a variety of problems to which they seek solutions, while microbiologists are having new insights into the problems bacteria are solving and how they are solving them. Here, we envisage that bacteria might be used for new sorts of computing. These could be based on the capacity of bacteria to grow, move and adapt to a myriad different fickle environments both as individuals and as populations of bacteria plus bacteriophage. New principles might be based on the way that bacteria explore phenotype space via hyperstructure dynamics and the fundamental nature of the cell cycle. This computing might even extend to developing a high level language appropriate to using populations of bacteria and bacteriophage. Here, we offer a speculative tour of what we term bactoputing, namely the use of the natural behaviour of bacteria for calculating

Recognizing dart-free perfect graphs

A graph G is called Berge if neither G nor its complement contains a chordless cycle whose length is odd and at least five; what we call a dart is the graph with vertices a, b, c, d, e and edges ab, ac, ad, ae, be, ce; a graph is called dart-free if it has no induced subgraph isomorphic to the dart. We present a polynomial-time algorithm to recognize dart-free Berge graphs

Recognizing Dart-Free Perfect Graphs

A graph G is called Berge if neither G nor its complement contains a chordless cycle whose length is odd and at least five; what we call a dart is the graph with vertices u, v, w, x, y and edges uv, vw, uy, vy, wy, xy; a graph is called dart-free if it has no induced subgraph isomorphic to the dart. We present a polynomial-time algorithm to recognize dart-free Berge graphs; this algorithm uses as a subroutine the polynomial-time algorithm for recognizing claw-free Berge graphs designed previously by Chvatal and Sbihi

Modelling, observability and experiment: a case study - Positive feedback loop in a genetic regulatory network -

We propose an new methodology for modelling of biological regulatory networks inspired by the design and validation of large computing systems. We take into account the capability to validate a model by a set of biological experiments. So defining a model goes with experimental methods and conditions to validate or invalidate it. As in the design of large sized softwares, we will distinguish two activities: first to build an accurate model specifying the assumed behaviour, second to design plans of experiments to verify a posteriori the model predictions. We wish to experiment, through the case of the modelling of the mucus production by the bacterium Pseudomonas aeruginosa, the application of this working methodology