Molybdenum Disulfide‐Based Tubular Microengines: Toward Biomedical Applications

2D molybdenum disulfide (MoS₂) is herein explored as an advanced surface material in the fabrication of powerful tubular microengines. The new catalytic self‐propelled open‐tube bilayer microengines have been fabricated using a template electrodeposition and couple the unique properties of sp² hybridized MoS₂ with highly reactive inner granular Pt catalytic structures. The MoS₂/metal microengines display extremely efficient bubble propulsion, reflecting the granular structure of the inner catalytic platinum or gold layers (compared to the smooth metal surfaces of common micromotors). The efficient movement of functionalized MoS₂ micromotors can address challenges imposed by slow mass transport processes involved in various applications of MoS_2. The delocalized electron network of the MoS₂ outer layer facilitates π–π stacking interactions and endows the tubular microengines with a diverse array of capabilities. These are demonstrated here for efficient loading and release of the drug doxorubicin, and rapid and sensitive “OFF–ON” fluorescent detection of important nucleic acids (miRNA‐21) and proteins (thrombin) using microengines modified with dye‐labeled single‐stranded DNA and aptamer, respectively. Such coupling of the attractive capabilities of 2D‐MoS₂ nanosheets with rapidly moving microengines provides an opportunity to develop multifunctional micromachines for diverse biomedical applications ranging from efficient drug delivery to the detection of important bioanalytes.     

Geological and geophysical investigations at Sierra del Medio massif,Argentina

Geological investigations were performed at Sierra del Medio (Cushamen County, Chubut Province in Central Patagonia), a mountainous massif of about 25 km by 8 km of migmatic origin, which emerges from a depressed tectonic trench or graben called Pampa de Gastre. The most ancient rocks belong to biotitic and amphibolic schist that passed almost entirely to tonalitoid migmatites with a second process producing granitic rocks. Boreholes were drilled on the basis of conclusions from Landsat satellite imagery and aerial photographic sets, followed by field work on geological, petrographic, geophysical and hydrogeological features at surface, structural interpretation supported by geostatistical computations. Two sets of boreholes were drilled to investigate, subsurface rock behaviour at 300 m depth and 800 m depth respectively, beginning at peripheral places and ending at the central part or selected site. Basic purposes of boreholes were to define structural and petrographic features of the rock massif by a good comprehension of master joints and faulting distribution with its belts of alteration, mylonitization or brecciation, mechanical properties of samples, chemical composition and variations, petrographic facies and mineralogy. Boreholes provided data to investigate joints, faults and dikes as general discontinuities for hydraulic research such as permeability or effective hydraulic conductivity, and their geostatistical modelling. Boreholes are also being prepared for geophysical logging from which thermal logs have already been completed.     

Seasonal ammonia losses from spray-irrigation with secondary-treated recycled water

This work examines ammonia volatilization associated with agricultural irrigation employing recycled water. Effluent from a secondary wastewater treatment plant was applied using a center pivot irrigation system on a 12 ha agricultural site in Palmdale, California. Irrigation water was captured in shallow pans and ammonia concentrations were quantified in four seasonal events. The average ammonia loss ranged from 15 to 35% (averaging 22%) over 2-h periods. Temporal mass losses were well-fit using a first-order model. The resulting rate constants correlated primarily with temperature and secondarily with wind speed. The observed application rates and timing were projected over an entire irrigation season using meteorological time series data from the site, which yielded volatilization estimates of 0.03 to 0.09 metric tons NH(3)-N/ha per year. These rates are consistent with average rates (0.04 to 0.08 MT NH(3)-N/ha per year) based on 10 to 20 mg NH(3)-N/L effluent concentrations and a 22% average removal. As less than 10% of the treated effluent in California is currently reused, there is potential for this source to increase, but the increase may be offset by a corresponding reduction in synthetic fertilizers usage. This point is a factor for consideration with respect to nutrient management using recycled water.     

Dynamic joint model of capacitive charge pumps and on‐chip photovoltaic cells for CMOS micro‐energy harvesting

On‐chip energy harvesting by means of integrated photovoltaic cells in standard CMOS technology can be successfully used to recharge or power‐up integrated circuits with the use of charge pumps for voltage boosting. In this paper, a tool to facilitate the design of such structures is proposed consisting of an accurate model of the joint dynamics of the micro‐photovoltaic cell and a capacitive DC/DC converter in the slow‐switching limit regime. The model takes into account both the top and bottom parasitic capacitances of the flying capacitors. We assume a classical model for the photodiode whose photogenerated current is extracted from device‐level simulations. The joint model is verified by circuit‐level simulations achieving high accuracy and computation time savings of up to 1700×. The joint model shows that the voltage generated by an integrated photovoltaic cell connected to a capacitive DC/DC converter is not constant even under constant illumination. This phenomenon can only be reproduced through the joint model and failing to take it into account results in an error in the estimation of the time needed by the DC/DC converter to reach a given output voltage. We also demonstrate that the maximum output voltage reached by a DC/DC converter in the slow‐switching limit regime when a photovoltaic cell is used as energy transducer depends on the switching frequency. Finally, the applicability of the model is illustrated through the optimization of time response and charge efficiency for the Dickson, Fibonacci, and exponential topologies in the case of implantable devices. Copyright © 2016 John Wiley & Sons, Ltd.     

Protein/glycerol blends and injection‐molded bioplastic matrices: Soybean versus egg albumen

Two well‐known proteins have been selected in order to produce bioplastics through injection molding: a soy protein isolate (SPI) and an egg white albumen concentrate (EW). Each of them has been thoroughly mixed with glycerol (40 wt %) and the blend then obtained have been characterized by means of rheological and thermomechanical techniques, which allowed the optimization of the processing moulding conditions (cylinder temperature, 60°C–65°C; mould temperature, 120°C; post‐injection pressure, 500–600 bars). Once bioplastics were obtained, their thermomechanical and tensile properties, as well as their water uptake capacity and transparency were evaluated. Bioplastics containing EW showed higher values in the elastic and loss moduli, E′ and E″, from ?30°C to 130°C, than the corresponding SPI bioplastic. However, they both showed qualitatively the same evolution with temperature, where E′ and E″ decreased up to a plateau at high temperatures. When examining their tensile and water uptake properties is found that SPI bioplastics are more ductile and present enhanced water uptake behavior over EW bioplastics, which on the other hand possess higher Young's modulus. SPI seems to provide tougher bioplastics, being an excellent option for potential superabsorbent applications, whereas EW would suit for those applications requiring higher mechanical properties. © 2015 Wiley Periodicals, Inc. J. Appl. Polym. Sci. 2016 , 133, 42980.     

Fire patterns in north-eastern Argentina: influences of climate and land use/cover

Fires are one of the most frequent disturbances on terrestrial ecosystems, thus making their understanding and prediction crucial for their management. While the fuels condition are linked to well-known environmental factors, the ignition triggering agents are less understood and may display a more stochastic behaviour. We studied the regional relationship between the fire density and frequency, climate and land use/cover in the north-east region of Argentina using Moderate Resolution Imaging Spectroradiometer (MODIS) hotspots data, daily weather reports and land use/cover data at national level. The pre-fire water availability index showed a significantly negative relationship with hotspot densities (r ²?=?0.51, p < 0.01). The uncultivated land coverage, mainly represented by natural grasslands, was positively associated with the fire density (for Entre Rios, r ²?=?0.74, p < 0.0001 and for Corrientes, r ²?=?0.67, p < 0.0001). The results highlight the potential of remote sensing for fire monitoring in this region and its value in urgently needed policies for fire control and management.     

Validation of H-P2PSIP, a scalable solution for interoperability among different overlay networks

This paper reports the results of experiments from an implementation of H-P2PSIP, a hierarchical overlay architecture based on the ongoing work in the IETF P2PSIP Working Group. This architecture allows the exchange of information among different independent overlay networks through the use of a two-layer architecture based on super-peers and hierarchical identifiers. The validation of this proposal is based on a Linux based real implementation where we have used four different scenarios with 1,000 peers in order to perform different experiments. We have obtained results for different parameters such as routing performance (number of hops), delay, routing state (number of overlay routing entries) and bandwidth consumption.     

Parallelizing and optimizing a bioinformatics pairwise sequence alignment algorithm for many-core architecture

Current computer engineering evolves at an accelerated pace, with hardware advancing towards new chip multiprocessors (CMP) architectures and with supporting software gearing towards new programming and abstraction paradigms, to obtain the maximum efficiency of the hardware at a low cost. In this context, Tilera Corporation has developed a brand new CMP architecture with 64 cores (tiles) called Tile64, and has launched several Peripheral Component Interconnect Express (PCIe) cards to be used and monitored from a host Personal Computer (PC). These cards may execute parallel applications built in C/C++ and compiled with the Tile-GCC compiler. We have previously demonstrated the usefulness of the Tile64 architecture for bioinformatics [S. Gálvez, D. Díaz, P. Hernández, F.J. Esteban, J.A. Caballero, G. Dorado, Next-generation bioinformatics: using many-core processor architecture to develop a web service for sequence alignment, Bioinformatics, 26 (2010) 683–686]. We have chosen a bioinformatics algorithm to test this many-core Tile64 architecture because of actual bioinformatics challenging needs: data-intensive workloads, space and time-consuming requirements and massive calculation. This algorithm, known as Needleman–Wunsch/Smith–Waterman (NW/SW), obtains an optimal sequence alignment in quadratic time and space cost, yet requires to be optimized to take full advantage of computing parallelization. In this paper we redesign, implement and fine-tune this algorithm, introducing key optimizations and changes that take advantage of specific Tile64 characteristics: RISC architecture, local tile’s cache, length of memory word, shared memory usage, RAM file system, tile’s intercommunication and job selection from a pool. The resulting algorithm – named MC64-NW/SW for Multicore64 Needleman–Wunsch/Smith–Waterman – achieves a gain of ～1000% when compared with the same algorithm on a ×86 multi-core architecture. As far as we know, our NW/SW implementation is the fastest ever published for a standalone PC when aligning a pair of sequences larger than 20 kb.