Agricultural Production and Forest Preservation in the Brazilian Amazon

Brazil has become a strong competitor in world soybean production. In 2014, Brazil produced 28% of the world’s soybeans, while the United States produced 34%. Brazil increased its production sharply during the 1990s and 2000s, partly due to the expansion into the Amazon forest region. Soybean was one of the main commodities that led to this expansion. In 2016, the Legal Amazon region produced 33% of the Brazilian soybean production compared to 15% in 1990 (Figure 1)

The Effects of Irrigation and Climate on the High Plains Aquifer: A County-Level Econometric Analysis

The High Plains Aquifer (HPA) underlies parts of eight states and 208 counties in the central area of the United States (U.S.). This region produces more than 9% of U.S. crops sales and relies on the aquifer for irrigation. However, these withdrawals have diminished the stock of water in the aquifer. In this paper, we investigate the aggregate county-level effect on the HPA of groundwater withdrawal for irrigation, of climate variables, and of energy price changes. We merge economic theory and hydrological characteristics to jointly estimate equations describing irrigation behavior and a generalized water balance equation for the HPA. Our simple water balance model predicts, at average values for irrigation and precipitation, an HPA-wide average decrease in the groundwater table of 0.47 feet per year, compared to 0.48 feet per year observed on average across the HPA during this 1985– 2005 period. The observed distribution and predicted change across counties is in the ( 3.22, 1.59) and ( 2.24, 0.60) feet per year range, respectively. The estimated impact of irrigation is to decrease the water table by an average of 1.24 feet per year, whereas rainfall recharges the level by an average of 0.76 feet per year. Relative to the past several decades, if groundwater use is unconstrained, groundwater depletion would increase 50% in a scenario where precipitation falls by 25% and the number of degree days above 36° C doubles

Non-unitary versus unitary optimization in the control of open quantum systems

In this work, we compare the performance of the Krotov method for open quantum systems (non-unitary optimization) with the Krotov method for closed quantum systems (unitary optimization) in finding optimal controls aimed at manipulating qubits and qutrits in the presence of the environment. In the case of unitary optimization, the Krotov method is applied to quantum system neglecting its interaction with the environment, afterwards the resulting controls are used to manipulate the system along with the eviromental noise. We consider two distinct control problems: target-state preparation from a given initial state and quantum gate implementation. For the state preparation, we {have found that the performance of the controls obtained from the non-unitary optimization outperform that of the controls obtained from the unitary optimization}. {However, in the case of the implementation of quantum gates, we have found that the optimal controls obtained from the unitary evolution exhibit a mean fidelity similar to that obtained from the non-unitary evolution. Since unitary optimization does not depend on decay rates nor on specific kinds of noise, besides being less computationally demanding, our results suggest that the best current practice to implement quantum gates in open quantum systems is to employ unitary optimization.Comment: 7 pages, 9 figure

New Constraints on the Lyman Continuum Escape Fraction at z~1.3

We examine deep far-ultraviolet (1600 Angstrom) imaging of the Hubble Deep Field-North (HDFN) and the Hubble Ultra Deep Field (HUDF) to search for leaking Lyman continuum radiation from starburst galaxies at z~1.3. There are 21 (primarily sub-L*) galaxies with spectroscopic redshifts between 1.1<z<1.5 and none are detected in the far-UV. We fit stellar population templates to the galaxies' optical/near-infrared SEDs to determine the starburst age and level of dust attenuation, giving an accurate estimate of the intrinsic Lyman continuum ratio, f_1500/f_700, and allowing a conversion from f_700 limits to relative escape fractions. We show that previous high-redshift studies may have underestimated the amplitude of the Lyman Break, and thus the relative escape fraction, by a factor of ~2. Once the starburst age and intergalactic HI absorption are accounted for, 18 galaxies in our sample have limits to the relative escape fraction, f_esc,rel < 1.0 with some limits as low as f_esc,rel < 0.10 and a stacked limit of f_esc,rel < 0.08. This demonstrates, for the first time, that most sub-L* galaxies at high redshift do not have large escape fractions. When combined with a similar study of more luminous galaxies at the same redshift we show that, if all star-forming galaxies at z~1 have similar relative escape fractions, the value must be less than 0.14 (3 sigma). We also show that less than 20% (3 sigma) of star-forming galaxies at z~1 have relative escape fractions near unity. These limits contrast with the large escape fractions found at z~3 and suggest that the average escape fraction has decreased between z~3 and z~1. (Abridged)Comment: Accepted for publication in ApJ. aastex format. 39 pages, 11 figure

Physics informed neural networks learning a two-qubit Hamiltonian

Machine learning techniques are employed to perform the full characterization of a quantum system. The particular artificial intelligence technique used to learn the Hamiltonian is called physics informed neural network (PINN). The idea behind PINN is the universal approximation theorem, which claims that any function can be approximate by a neural network if it contains enough complexity. Consequently, a neural network can be a solution of a physical model. Moreover, by means of extra data provided by the user, intrinsic physical parameters can be extracted from the approach called inverse-PINN. Here, we apply inverse-PINN with the goal of extracting all the physical parameters that constitutes a two qubit Hamiltonian. We find that this approach is very efficient. To probe the robustness of the inverse-PINN to learn the Hamiltonian of a two-qubit system, we use the IBM quantum computers as experimental platforms to obtain the data that is plugged in the PINN. We found that our method is able to predict the two-qubit parameters with 5% of accuracy on average.Comment: 5 pages, 4 figure

D-amino acids govern stationary phase cell wall remodeling in bacteria

4 pages, 4 figures.-- PMID: 19762646 [PubMed].-- Supporting information available at: http://www.sciencemag.org/cgi/content/full/sci;325/5947/1552/DC1In all known organisms, amino acids are predominantly thought to be synthesized and used as their L-enantiomers. Here, we found that bacteria produce diverse D-amino acids as well, which accumulate at millimolar concentrations in supernatants of stationary phase cultures. In Vibrio cholerae, a dedicated racemase produced D-Met and D-Leu, whereas Bacillus subtilis generated D-Tyr and D-Phe. These unusual D-amino acids appear to modulate synthesis of peptidoglycan, a strong and elastic polymer that serves as the stress-bearing component of the bacterial cell wall. D-Amino acids influenced peptidoglycan composition, amount, and strength, both by means of their incorporation into the polymer and by regulating enzymes that synthesize and modify it. Thus, synthesis of D-amino acids may be a common strategy for bacteria to adapt to changing environmental conditions.This work was supported by Howard Hughes Medical Institute (HHMI); NIH AI-R37-42347 (M.K.W.) and CA24487 and GM086258 (J.C.); Ministry of Education and Science, Spain (MEC) BFU2006-04574 and Fundación Ramón Areces (M.A.P.); Jane Coffin Childs Fellowship (H.L.); MEC Fellowship (F.C.); and HHMI Exceptional Research Opportunities (EXROP) (C.N.T.).Peer reviewe

Reference gene selection for quantitative reverse transcription-polymerase chain reaction normalization during in vitro adventitious rooting in Eucalyptus globulus Labill

<p>Abstract</p> <p>Background</p> <p><it>Eucalyptus globulus </it>and its hybrids are very important for the cellulose and paper industry mainly due to their low lignin content and frost resistance. However, rooting of cuttings of this species is recalcitrant and exogenous auxin application is often necessary for good root development. To date one of the most accurate methods available for gene expression analysis is quantitative reverse transcription-polymerase chain reaction (qPCR); however, reliable use of this technique requires reference genes for normalization. There is no single reference gene that can be regarded as universal for all experiments and biological materials. Thus, the identification of reliable reference genes must be done for every species and experimental approach. The present study aimed at identifying suitable control genes for normalization of gene expression associated with adventitious rooting in <it>E. globulus </it>microcuttings.</p> <p>Results</p> <p>By the use of two distinct algorithms, <it>geNorm </it>and <it>NormFinder</it>, we have assessed gene expression stability of eleven candidate reference genes in <it>E. globulus</it>: <it>18S, ACT2, EF2, EUC12, H2B, IDH, SAND, TIP41, TUA, UBI </it>and <it>33380</it>. The candidate reference genes were evaluated in microccuttings rooted <it>in vitro</it>, in presence or absence of auxin, along six time-points spanning the process of adventitious rooting. Overall, the stability profiles of these genes determined with each one of the algorithms were very similar. Slight differences were observed in the most stable pair of genes indicated by each program: <it>IDH </it>and <it>SAND </it>for <it>geNorm</it>, and <it>H2B </it>and <it>TUA </it>for <it>NormFinder</it>. Both programs indentified <it>UBI </it>and <it>18S </it>as the most variable genes. To validate these results and select the most suitable reference genes, the expression profile of the <it>ARGONAUTE1 </it>gene was evaluated in relation to the most stable candidate genes indicated by each algorithm.</p> <p>Conclusion</p> <p>Our study showed that expression stability varied between putative reference genes tested in <it>E. globulus</it>. Based on the <it>AGO1 </it>relative expression profile obtained using the genes suggested by the algorithms, <it>H2B </it>and <it>TUA </it>were considered as the most suitable reference genes for expression studies in <it>E. globulus </it>adventitious rooting. <it>UBI </it>and <it>18S </it>were unsuitable for use as controls in qPCR related to this process. These findings will enable more accurate and reliable normalization of qPCR results for gene expression studies in this economically important woody plant, particularly related to rooting and clonal propagation.</p

Thermally Switchable Electrically Conductive Thermoset rGO/PK Self-Healing Composites

Among smart materials, self-healing is one of the most studied properties. A self-healing polymer can repair the cracks that occurred in the structure of the material. Polyketones, which are high-performance thermoplastic polymers, are a suitable material for a self-healing mechanism: a furanic pendant moiety can be introduced into the backbone and used as a diene for a temperature reversible Diels-Alder reaction with bismaleimide. The Diels-Alder adduct is formed at around 50 °C and broken at about 120 °C, giving an intrinsic, stimuli-responsive self-healing material triggered by temperature variations. Also, reduced graphene oxide (rGO) is added to the polymer matrix (1.6–7 wt%), giving a reversible OFF-ON electrically conductive polymer network. Remarkably, the electrical conductivity is activated when reaching temperatures higher than 100 °C, thus suggesting applications as electronic switches based on self-healing soft devices