Characterising epithelial tissues using persistent entropy

In this paper, we apply persistent entropy, a novel topological statistic, for characterization of images of epithelial tissues. We have found out that persistent entropy is able to summarize topological and geometric information encoded by \alpha-complexes and persistent homology. After using some statistical tests, we can guarantee the existence of significant differences in the studied tissues.Comment: 12 pages, 7 figures, 4 table

Discovering the whole by the coarse: A topological paradigm for data analysis

The increasing interest in big data applications is ushering in a large effort in seeking new, efficient, and adapted data models to reduce complexity, while preserving maximal intrinsic information. Graph-based models have recently been getting a lot of attention on account of their intuitive and direct connection to the data [43]. The cost of these models, however, is to some extent giving up geometric insight as well as algebraic flexibility. © 2016 IEEE

Modeling of Displacement Micropump With Passive Check Valves

ABSTRACT Finite element analysis (FEA) of piezoelectrically actuated micropump was carried. The actuator was designed using a PZT (Lead zirconate titanate) layer coated on a flexural PVDF (Polyvinylede fluoride) membrane. The flow of liquid was controlled by the cantilever valves at both the inlet and outlet. The flow rate of the pump was estimated using the stroke volume due to the deflection of diaphragm. The optimum flow characteristics were estimated using the stroke volume as a function of frequency of power supply. The performance of the pump with and without the effect of valve on flow rate was also studied. The operation of the PZT actuator at higher frequencies would lead to self-heating of the material. This limitation on temperature was studied and the ways to reduce the self-heating were verified

Synthesis and biological evaluation of 5, 10-Dihydro-11H-dibenzo [b, e][1, 4] diazepin-11-one structural derivatives as anti-cancer and apoptosis inducing agents

A series of thirteen 5H-dibenzo [b,e][1,4]diazepin-11(10H)-one structural derivatives has been synthesized and evaluated for anti-proliferative activity against five human cancer cell lines. Compound 9a exhibited potent tumour growth inhibition in all cell lines with IC50 values in the range of 0.71-7.29 μM. Experiments on lung (A549) and breast (MDAMB-231) cancer cell lines to investigate the mechanisms of growth inhibition and apoptosis inducing effects of 9a showed that it arrested both cancer cell lines in the G2/M phase of cell cycle in a dose dependent manner. Hoechst staining analysis revealed that 9a inhibited tumour cell proliferation through apoptosis induction. Additionally, the mitochondrial membrane potential (ΔΨm) was affected and the levels of reactive oxygen species (ROS) were raised. The simple synthetic preparation and their biological properties make these dibenzodiazepinone-triazole scaffolds promising new entities for the development of cancer therapeutics

Decentralized Computation of Homology in Wireless Sensor Networks Using Spanning Trees

Part 1: MAKE TopologyInternational audienceWhen deploying a wireless sensor network over an area of interest, the information on signal coverage is critical. It has been shown that even when geometric position and orientation of individual nodes is not known, useful information on coverage can still be deduced based on connectivity data. In recent years, homological criteria have been introduced to verify complete signal coverage, given only the network communication graph. However, their algorithmic implementation has been limited due to high computational complexity of centralized algorithms, and high demand for communication in decentralized solutions, where a network employs the processing power of its nodes to check the coverage autonomously. To mitigate these problems, known approaches impose certain limitations on network topologies. In this paper, we propose a novel distributed algorithm which uses spanning trees to verify homology-based network coverage criteria, and works for arbitrary network topologies. We demonstrate that its communication demands are suitable even for low-bandwidth wireless sensor networks