Advanced flooding-based routing protocols for underwater sensor networks

Flooding-based protocols are a reliable solution to deliver packets in underwater sensor networks. However, these protocols potentially involve all the nodes in the forwarding process. Thus, the performance and energy efficiency are not optimal. In this work, we propose some advances of a flooding-based protocol with the goal to improve the performance and the energy efficiency. The first idea considers the node position information in order to reduce the number of relays that may apply flooding. Second, a network coding-based protocol is proposed in order to make a better use of the duplicates. With network coding, each node in the network recombines a certain number of packets into one or more output packets. This may give good results in flooding-based protocols considering the high amount of packets that are flooded in the network. Finally, a fusion of both ideas is considered in order to exploit the benefits of both of them.Circuits and System

Learning from Parkinson's patients: Usability of the Cyclops dry powder inhaler

Effective inhaler therapy requires correct handling of the inhaler, including being able to prepare the inhaler for use. Motor function impairment and cognitive disabilities, may impose problems on patients with Parkinson's disease when they have to prepare medication, such as inhalers, for use. The aim of the present study was to examine whether Parkinson's patients are able to correctly prepare the Cyclops inhaler for use. At first, 12 patients, 6 in an off state and 6 in an on state, were asked to open 5 inhalers with ascending peel resistance of the cover foil. It was investigated up to which peel resistance they were able to successfully pull the foil from the inhaler. For the second part of the study, 48 participants, 24 on and 24 off, were asked to open 2 pouches and the 2 inhalers selected in part 1. For pouch 1, 70.8% of the patients in an on state and 58.3% in an off state were able to open the pouch correctly. For pouch 2, this was 79.2% and 75.0%, respectively. Both Cyclops inhalers were opened correctly by 95.8% of the participants in the on state and 91.7% of the participants in the off state

Prospective study of Lipiodol distribution as an imaging marker for doxorubicin pharmacokinetics during conventional transarterial chemoembolization of liver malignancies

Objectives To evaluate the prognostic potential of Lipiodol distribution for the pharmacokinetic (PK) profiles of doxorubicin (DOX) and doxorubicinol (DOXOL) after conventional transarterial chemoembolization (cTACE). Methods This prospective clinical trial (: NCT02753881) included 30 consecutive participants with liver malignancies treated with cTACE (5/2016-10/2018) using 50 mg DOX/10 mg mitomycin C emulsified 1:2 with ethiodized oil (Lipiodol). Peripheral blood was sampled at 10 timepoints for standard non-compartmental analysis of peak concentrations (C-max) and area under the curve (AUC) with dose normalization (DN). Imaging markers included Lipiodol distribution on post-cTACE CT for patient stratification into 1 segment (n = 10), >= 2 segments (n = 10), and lobar cTACE (n = 10), and baseline enhancing tumor volume (ETV). Adverse events (AEs) and tumor response on MRI were recorded 3-4 weeks post-cTACE. Statistics included repeated measurement ANOVA (RM-ANOVA), Mann-Whitney, Kruskal-Wallis, Fisher's exact test, and Pearson correlation. Results Hepatocellular (n = 26), cholangiocarcinoma (n = 1), and neuroendocrine metastases (n = 3) were included. Stratified according to Lipiodol distribution, DOX-C(max)increased from 1 segment (DOX-C-max, 83.94 +/- 75.09 ng/mL; DN-DOX-C-max, 2.67 +/- 2.02 ng/mL/mg) to >= 2 segments (DOX-C-max, 139.66 +/- 117.73 ng/mL; DN-DOX-C-max, 3.68 +/- 4.20 ng/mL/mg) to lobar distribution (DOX-C-max, 334.35 +/- 215.18 ng/mL; DN-DOX-C-max, 7.11 +/- 4.24 ng/mL/mg;p = 0.036). While differences in DN-DOX-AUC remained insignificant, RM-ANOVA revealed significant separation of time concentration curves for DOX (p = 0.023) and DOXOL (p = 0.041) comparing 1, >= 2 segments, and lobar cTACE. Additional indicators of higher DN-DOX-C(max)were high ETV (p = 0.047) and Child-Pugh B (p = 0.009). High ETV and tumoral Lipiodol coverage also correlated with tumor response. AE occurred less frequently after segmental cTACE. Conclusions This prospective clinical trial provides updated PK data revealing Lipiodol distribution as an imaging marker predictive of DOX-C(max)and tumor response after cTACE in liver cancer