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Anemia is a disease present worldwide. High prevalence of anemia (43%) is found in the child population and its main long-term effect (slow cognitive development) can remain even if the disease has disappeared. One of the main reasons for the high prevalence of anemia in Peru is the poor screening coverage during the growth of the child due to the parents' fear of infringing pain on their children. We take advantage that anemia produces pallor in the hands, fingers and ungueal bed to develop a semaphore for this disease. This screening tool uses photographic images of the patient's ungueal bed to determine if they have a high, medium or low possibility of having anemia. Sixty people participated in the study and 6 photographic images for each participant's right hand were captured. The images were processed to extract regions of interest from each of the fingernails. Datasets were generated and a neural network was used to predict the risk of anemia. Initial results show that the proposed semaphore of anemia reaches a sensitivity of 0.79 and specificity of 0.91. These results indicate that the semaphore of anemia may be used as a screening method to reduce the number of blood tests and the time of evaluation from 15 minutes (rapid test with portable hemoglobinometer) to 1 minute.

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We study dynamical signatures of quantum chaos in one of the most relevant models in many-body quantum mechanics, the Bose-Hubbard model, whose high degree of symmetries yields a large number of invariant subspaces and degenerate energy levels. The standard procedure to reveal signatures of quantum chaos requires classifying the energy levels according to their symmetries, which may be experimentally and theoretically challenging. We show that this classification is not necessary to observe manifestations of spectral correlations in the temporal evolution of the survival probability, which makes this quantity a powerful tool in the identification of chaotic many-body quantum systems.

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In this work, we report the room-temperature synthesis of pure calcium tungstate (CaWO4) and copper-doped calcium tungstate solid solution (Ca0.99Cu0.01WO4) by using a sonochemistry method. These materials were structurally characterized by X-ray diffraction (XRD) and Raman spectroscopy. The obtained XRD patterns were submitted to a Rietveld refinement showing, in both materials, a tetragonal phase with space group and point group of I41/a and C4h6, respectively. Microscopy images of both materials, obtained by field emission scanning electron microscopy, showed spherical agglomerated structures composed by spherical nanoparticles, while calcium and tungstate elements were identified by energy-dispersive X-ray spectroscopy for pure calcium tungstate and copper, calcium, and tungstate for Ca0.99Cu0.01WO4 solid solution. The decrease of optical band gap (Egap) from 4.0 eV (CaWO4) to 3.45 eV (Ca0.99Cu0.01WO4) confirmed the substitution of calcium atoms for copper atoms in the clusters [CaO8]. Maximum photoluminescence (PL) emission was shifted from 522 nm in the pure CaWO4 to 475 nm in the Ca0.99Cu0.01WO4 solid solution. Consequently, there was an increase of PL emissions intensity in the blue and green regions of the visible spectrum, due to electronic transitions between the orbitals O 2p, Cu 3d, and W 5d.

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Nowadays, the global energy system is in a transition phase, in which the integration of renewable energy is among the main requirements for attenuating climate change. Wind power is a major alternative to supply clean energy; hence, its widespread penetration is being pursued in all end-use sectors. In particular, it is currently noteworthy to analyze the feasibility of deploying small-scale wind power technology to provide cleaner and cheaper energy in the residential sector. As a first step, a technical assessment must be carried out to provide crucial information to intensive energy consumers, providers of small-scale wind power technology, electric energy distribution utilities, and any other party, to help them decide whether or not to deploy small-scale wind turbines. With this aim, we propose to perform such an analysis using a suitable probabilistic paradigm to solve complex decision-making problems with uncertainty, namely Bayesian Intelligence, since wind resources and energy demands are intermittent variables, properly characterized by probability distribution functions. Then, the problem of determining the technical feasibility can be formulated as an investigation into whether or not small-scale wind turbine technology can produce enough energy to cover the excess demand of intensive energy residential consumers to get off high-priced tariffs. For this purpose, we introduce a novel model based on probabilistic reasoning to assess the suitability of small-scale wind turbine technology to produce the said energy, taking into consideration the availability of wind resources and the energy pricing structure. To demonstrate the usefulness and performance of the proposed model, we consider a case study of deploying 5 and 10 kW wind turbines and analyze the feasibility of their implementation in Mexico, where the energy pricing structure and scattered wind resource availability pose difficult challenges.

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Evidence has been obtained that indicates the presence of small 22 kDa GTP-binding Rho proteins through ADP-ribosylation by Clostridium botulinum C3 exotoxin in Mucor circinelloides. Rho protein was detected at all stages of growth studied. During polarized growth, both under aerobic conditions and during the yeast-mycelia transition, the radiolabeling of the [32P]ADP-ribosylated protein increased when tube formation occurred and decreased as the hyphae branched. However, when Mucor grew isotropically, the Rho protein band was thick and its intensity did not vary significantly even after bud formation and separation of daughter cells. Crude extracts of yeast and mycelial cells exhibited a broad 22 kDa band of the [32P]ADP-ribosylated Rho protein that was resolved into a protein with a pI of 6.0, after two-dimensional electrophoresis, corresponding to the Rho1p homolog. Furthermore, [32P]ADP-ribosylated Rho protein from soluble and particulate extracts of multipolarized mycelial cells obtained from the yeast-mycelia transition was separated into two proteins with pI of 6.0 and 6.4, respectively, after two-dimensional electrophoresis. These correspond to the Rho1p and Rho3p homologs, respectively. Therefore, our results show that an increase in Rho accumulation is associated with polarized growth.

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