Soft,Implantable Bioelectronic Interfaces for Translational Research

The convergence of materials science, electronics, and biology, namely bioelectronic interfaces, leads novel and precise communication with biological tissue, particularly with the nervous system. However, the translation of lab-based innovation toward clinical use calls for further advances in materials, manufacturing and characterization paradigms, and design rules. Herein, a translational framework engineered to accelerate the deployment of microfabricated interfaces for translational research is proposed and applied to the soft neurotechnology called electronic dura mater, e-dura. Anatomy, implant function, and surgical procedure guide the system design. A high-yield, silicone-on-silicon wafer process is developed to ensure reproducible characteristics of the electrodes. A biomimetic multimodal platform that replicates surgical insertion in an anatomy-based model applies physiological movement, emulates therapeutic use of the electrodes, and enables advanced validation and rapid optimization in vitro of the implants. Functionality of scaled e-dura is confirmed in nonhuman primates, where epidural neuromodulation of the spinal cord activates selective groups of muscles in the upper limbs with unmet precision. Performance stability is controlled over 6 weeks in vivo. The synergistic steps of design, fabrication, and biomimetic in vitro validation and in vivo evaluation in translational animal models are of general applicability and answer needs in multiple bioelectronic designs and medical technologies.     

On the solution of a rational matrix equation arising in G-networks

We consider the problem of solving a rational matrix equation arising in the solution of G-networks. We propose and analyze two numerical methods: a fixed point iteration and the Newton–Raphson method. The fixed point iteration is shown to be globally convergent with linear convergence rate, while the Newton method is shown to have a local convergence, with quadratic convergence rate. Numerical experiments show the effectiveness of the proposed methods.     

Robust modeling of RC structures with an “event-by-event” strategy

The sequentially linear analysis is a robust alternative to nonlinear finite element analysis of structures when bifurcation, snap-back or divergence problems arise. The load–displacement response is captured by a series of linear analyses as a sequence of ‘events’. Every ‘event’ is a scaled critical state corresponding to the reaching of some peak of some saw-tooth for some softening element. Now, the approach is extended with a rippled saw-tooth curve which applies to any stress–strain diagram, including compression nonlinearity and yielding of reinforcement. Several RC structural examples demonstrate that both sharp snap-backs as well as ductile failures can be handled correctly.     

The spatial and temporal distribution of avian foraging guilds at the sewerage works at Chepkoilel campus, Moi University, Kenya

In a study conducted between January–March 2001, the spatial and temporal distribution of bird species in four sewage ponds at Chepkoilel campus, Moi University, Kenya, were determined. The total bird counts were conducted thrice daily for 10 days in each pond, yielding a total of 120 observations for all four ponds. Observations were made on three distinct foraging guilds: divers, surface feeders and birds that fished from the shore. Twenty‐four species of birds belonging to 10 families were observed in the ponds. The pond number had a significant effect on the distribution of the mean number of birds for all species. The highest mean number of birds was recorded in the first sedimentation pond receiving raw sewage (Pond I), with the number of birds decreasing linearly to Pond IV. The highest mean number of bird species also was observed for Pond I, with the lowest number being observed for Pond III. Even when the results were adjusted for area, the pond number was still significant, although the order changed significantly. Under these conditions, the highest density of birds was observed for Pond II. This was significantly higher than for Ponds I or III, which exhibited non‐significantly different densities. Pond IV exhibited a significantly lower density that all the other ponds. The total number of birds increased with the number of species. The density of avian foraging guilds was found to be significantly higher in Ponds I and II than in Ponds III and IV, supporting our hypothesis that bird abundance and distribution is influenced by the treatment status of the influent sewage.     

Improving satellite services with cooperative communications

This paper proposes new transmission schemes for the delivery of satellite services. In the proposed scenarios, mobile terminals are allowed to forward the signal received from the satellite. This scheme provides spatial diversity just like MIMO transmission schemes. Moreover, the coverage area is extended because masked terminals have an additional opportunity to get the service from neighboring terminals. We use the paradigm of cooperative communications to compare the advantages and limitations of several scenarios in hybrid terrestrial/satellite systems. In particular, we study the following basic transmission scheme: in a first time slot, the satellite sends its signal and, in a second time slot, mobile terrestrial terminals are relaying the satellite signal. An analysis framework is proposed and applied to this cooperation scenario at the destination terminal. The framework is modeling the cooperation process and clearly separates the control part from the data user part. The paper outlines the importance of the control part by evaluating the relay selection policy on a basic hybrid satellite/ad hoc system. Copyright © 2011 John Wiley & Sons, Ltd.     

TRPML2 Mucolipin Channels Drive the Response of Glioma Stem Cells to Temozolomide and Affect the Overall Survival in Glioblastoma Patients

The survival of patients with glioblastoma (GBM) is poor. The main cause is the presence of glioma stem cells (GSCs), exceptionally resistant to temozolomide (TMZ) treatment. This last may be related to the heterogeneous expression of ion channels, among them TRPML2. Its mRNA expression was evaluated in two different neural stem cell (NS/PC) lines and sixteen GBM stem-like cells by qRT-PCR. The response to TMZ was evaluated in undifferentiated or differentiated GSCs, and in TRPML2-induced or silenced GSCs. The relationship between TRPML2 expression and responsiveness to TMZ treatment was evaluated by MTT assay showing that increased TRPML2 mRNA levels are associated with resistance to TMZ. This research was deepened by qRT-PCR and western blot analysis. PI3K/AKT and JAK/STAT pathways as well as ABC and SLC drug transporters were involved. Finally, the relationship between TRPML2 expression and overall survival (OS) and progression-free survival (PFS) in patient-derived GSCs was evaluated by Kaplan–Meier analysis. The expression of TRPML2 mRNA correlates with worse OS and PFS in GBM patients. Thus, the expression of TRPML2 in GSCs influences the responsiveness to TMZ in vitro and affects OS and PFS in GBM patients.