Structure-Induced Stability in Sinuous Black Silicon for Enhanced Hydrogen Evolution Reaction Performance

Clean energy infrastructures of the future depend on efficient, low-cost, long-lasting systems for the conversion and storage of solar energy. This is currently limited by the durability and economic viability of today's solar energy systems. These limitations arise from a variety of technical challenges; primarily, a need remains for the development of stable solar absorber–catalyst interfaces and improved understanding of their mechanisms. Although thin film oxides formed via atomic layer deposition have been widely employed between the solar absorber–catalyst interfaces to improve the stability of photoelectrochemical devices, few stabilization strategies have focused on improving the intrinsic durability of the semiconductor. Here, a sinuous black silicon photocathode (s-bSi) with intrinsically improved stability owing to the twisted nanostructure is demonstrated. Unlike columnar black silicon with rapidly decaying photocurrent density, s-bSi shows profound stability in strong acid, neutral, and harsh alkaline conditions during a 24-h electrolysis. Furthermore, scanning transmission electron microscopy studies prior to and post electrolysis demonstrate limited silicon oxide growth inside the walls of s-bSi. To the authors’ knowledge, this is the first time structure-induced stability has been reported for enhancing the stability of a photoelectrode/catalyst interface for solar energy conversion.     

A novel approach for the development of photoluminescent material

We report on several amorphous compounds based on different metal oxianions with intense photoluminescence at room temperature. These compounds were synthesised by a soft chemical process and deposited on Si (100) by a spin-coating technique. To select these different metal oxianions, a classic concept based on a metal oxide network former is used. We describe a minimum set of requirements to obtain an amorphous metal oxide with photoluminescence emission at room temperature. Received: 27 August 2001 / Accepted: 29 August 2001 / Published online: 20 December 2001     

Seamless integration of cloud and fog networks

A way to merge cloud computing infrastructures with traditional or legacy network deployments, leveraging the best in both worlds and enabling a logically centralized control. A solution is proposed to extend existing cloud computing software stacks so they are able to manage networks outside the cloud computing infrastructure, the fog, by extending the internal, virtualized network segments. This is useful in a variety of use cases such as incremental legacy to cloud network migration, hybrid virtual/traditional networking, centralized control of existing networks, bare metal provisioning, and even offloading of advanced services from typical home gateways into the operator. Any organization can develop different ‘drivers’ to support new, specific networking equipment, not necessarily tied to a protocol or vendor, and leverage the fog network. Our conceptual solution is prototyped on top of OpenStack, including changes to the API, command‐line interface (CLI), and other mechanisms. Test results indicate that there are low penalties on latency and throughput, and provisioning times are reduced in comparison with similar maintenance operations on traditional computer networks. Copyright © 2016 John Wiley & Sons, Ltd.     

CloudThinking as an Intelligent Infrastructure for Mobile Robotics

Mobile robotics is a transforming field that presents a varying set of challenges. The discussion on the autonomy of (self-powered) robots is not settled, and as the communication infrastructure evolves, centralized concepts become more attractive over distributed concepts. This paper presents the CloudThinking architecture applied to intelligent cloud-based robotic operation. CloudThinking offloads most of complex robotic tasks to a central cloud, which retrieves inputs from the environment as a whole in order to instruct the robots to perform its actions. CloudThinking is a natural approach to the orchestration of multiple specialized robotic systems, defining the best mechanisms for reaching a goal. Furthermore, this architecture provides a set of automatic features which can be useful for application developers. These features can fully exploit novel cloud tools development as it becomes available, providing a time-resilient infrastructure of easy upgrade. The resulting approach has the potential to create a different set of market for robotic application developers.     

Assessment of SPM in perfusion brain SPECT studies. A numerical simulation study using bootstrap resampling methods

Statistical parametric mapping (SPM) has become the technique of choice to statistically evaluate positron emission tomography (PET), functional magnetic resonance imaging (fMRI), and single photon emission computed tomography (SPECT) functional brain studies. Nevertheless, only a few methodological studies have been carried out to assess the performance of SPM in SPECT. The aim of this paper was to study the performance of SPM in detecting changes in regional cerebral blood flow (rCBF) in hypo- and hyperperfused areas in brain SPECT studies. The paper seeks to determine the relationship between the group size and the rCBF changes, and the influence of the correction for degradations. The assessment was carried out using simulated brain SPECT studies. Projections were obtained with Monte Carlo techniques, and a fan-beam collimator was considered in the simulation process. Reconstruction was performed by using the ordered subsets expectation maximization (OSEM) algorithm with and without compensation for attenuation, scattering, and spatial variant collimator response. Significance probability maps were obtained with SPM2 by using a one-tailed two-sample f-test. A bootstrap resampling approach was used to determine the sample size for SPM to detect the between-group differences. Our findings show that the correction for degradations results in a diminution of the sample size, which is more significant for small regions and low-activation factors. Differences in sample size were found between hypo- and hyperperfusion. These differences were larger for small regions and low-activation factors, and when no corrections were included in the reconstruction algorithm.     

Open photoacoustic cell x-ray detection

A simple open-cell configuration photoacoustic x-ray detector is experimentally demonstrated. The front air chamber of a commercial electret microphone is used as the transducer medium of conventional photoacoustics. The observed signal is well described by the thermal diffusion model for the photoacoustic signal.     

Ag2WO4 nanoparticles radiolabeled with technetium-99m: a potential new tool for tumor identification and uptake

Silver tungstate nanoparticles have been presenting attractive characteristics that could allow its usage in the biomedical sciences. In this study, Ag₂WO₄ nanoparticles with an average size of 242 nm were obtained and radiolabeled with technetium-99m with high labeling-yield as well as high stability. Biodistribution studies were carried out in healthy and tumor-bearing mice to determine the nanoparticle’s in vivo behavior. The results revealed an important tumor-to-muscle ratio, reaching values above than 1.5, demonstrated the ability of this nanomaterial in accumulating preferentially in tumor tissue. All results together, converge to consider the Ag₂WO₄ nanoparticles as a potential system against cancer and a potential new radiolabeled probe for tumor identification and uptake.