Impacto mecánico en frutos. Determinación de la resistencia a la magulladura y de la textura en variedades de pera y manzana.

Se presenta un completo sistema de detecci6n para el estudio de IDS impactos sobre frutas y hortalizas. Se han ensayado» durante un periodo de 10 a 12 semanas de almacenamiento en cámara frigorífica y de maduraci6n, tres variedades de peras: Blanquilla, Limonera y Decana de Comice y dos de manzanas: Golden Delicious y Starking. Los impactos se realizaron con un indentador de 50.6 g con cabeza de acero esférica de 19 mm de diámetro. Las alturas ensayadas fueron de 2 a 12 cm de dos en dos y uno complementario a 20 cm sobre cada fruto. La magulladura resultante se midió. y se observó cuidadosamente su estructura. Como método de análisis estadístico se utilizó el factorial de correspondencias-Los parámetros mecánicos y la magulladura resultado de un impacto se pueden clasificar en tres categorías, en función de su correlación con la energía (altura) del impacto o con la textura de los frutos. Se han establecido los principios técnicos para el diseño de un mecanismo no destructivo de detección de la madurez de estos frutos

Impact parameters related to bruising in selected fruits.

Impact testing with an instrumented free-fallingmass (50.4 g) device was applied to three varities of pears and two varieties of apples, forincreasing ripeness stages and impact energy (2 to 20 cm drops). Impact parameters were studied in relation to bruise and to ripeness, establishing relations between them and with the different characteristics of the fruits

Control de la madurez en frutos por medio de ensayos de impacto.

En anteriores trabajos se ha observado que la respuesta de los frutos a un impacto mecánico está muy influida por su estado de madurez. Se realizaron ensayos de impacto sobre peras cv. Limonera, a lo largo de 12 semanas de conservación frigorífica y de maduración controlada. El impacto desde 4 cm de altura (equivalente a 0,02 J) resulta no destructivo y puede utilizarse para la determinación del estado de madurez de estos frutos. Por métodos de regresión lineal múltiple sobre los 15 para metros del impacto más representativos se obtienen buenas p r e dicciones de la madurez, representada por la fuerza de corte de probetas de pulpa, FC (N)

Impact bruises in pomaceae fruits: Evaluation methods and structural features.

Using a laboratory impact tester, impacts were applied to fruits of different varieties of apples and pears. The response to impact was analized, and many parameters were recorded, to be correlated to bruise susceptibility and to ripeness changes. Different methods for the detection and evaluation of the bruised Area and its features were studied, using direct observation and various reactives. Different types of bruises were established

Daños por impacto en frutos : parámetros y métodos experimentales.

El estudio del impacto en frutos se realiza sobre la base de modelos mecánicos del impacto en sólidos; la naturaleza viscoelástica de los productos biológicos exige la utilización de modelos viscoelásticos, tanto en el caso del impacto como de las cargas estáticas. La respuesta de los frutos a la aplicación de cargas estáticas puede investigarse con métodos bien conocidos, aunque aun no tipificados de forma general; la respuesta a cargas dinámicas (impactos) requiere de métodos de ensayo y análisis específicos que han de ser investigados. El resultado de la aplicación de los impactos en frutos como la pera y la manzana es la aparición de magulladuras, cuya naturaleza y desarrollo exige mayores estudios

Operating with Quantum Integers: an Efficient 'Multiples of' Oracle

Quantum algorithms are a very promising field. However, creating and manipulating these kind of algorithms is a very complex task, specially for software engineers used to work at higher abstraction levels. The work presented here is part of a broader research focused on providing operations of a higher abstraction level to manipulate integers codified as a superposition. These operations are designed to be composable and efficient, so quantum software developers can reuse them to create more complex solutions. Specifically, in this paper we present a 'multiples of' operation. To validate this operation we show several examples of quantum circuits and their simulations, including its composition possibilities. A theoretical analysis proves that both the complexity of the required classical calculations and the depth of the circuit scale linearly with the number of qubits. Hence, the 'multiples of' oracle is efficient in terms of complexity and depth. Finally, an empirical study of the circuit depth is conducted to further reinforce the theoretical analysis.Comment: 19 pages, 18 figures, preprint submitted to SummerSOC 202

Some Initial Guidelines for Building Reusable Quantum Oracles

The evolution of quantum hardware is highlighting the need for advances in quantum software engineering that help developers create quantum software with good quality attributes. Specifically, reusability has been traditionally considered an important quality attribute in terms of efficiency of cost and effort. Increasing the reusability of quantum software will help developers create more complex solutions, by reusing simpler components, with better quality attributes, as long as the reused components have also these attributes. This work focuses on the reusability of oracles, a well-known pattern of quantum algorithms that can be used to perform functions used as input by other algorithms. In particular, in this work, we present several guidelines for making reusable quantum oracles. These guidelines include three different levels for oracle reuse: the ideas inspiring the oracle, the function which creates the oracle, and the oracle itself. To demonstrate these guidelines, two different implementations of a range of integers oracle have been built by reusing simpler oracles. The quality of these implementations is evaluated in terms of functionality and quantum circuit depth. Then, we provide an example of documentation following the proposed guidelines for both implementations to foster reuse of the provided oracles. This work aims to be a first point of discussion towards quantum software reusability. Additional work is needed to establish more specific criteria for quantum software reusability.Comment: 10 page

Development of an Automatic Pipeline for Participation in the CELPP Challenge

The prediction of how a ligand binds to its target is an essential step for Structure-Based Drug Design (SBDD) methods. Molecular docking is a standard tool to predict the binding mode of a ligand to its macromolecular receptor and to quantify their mutual complementarity, with multiple applications in drug design. However, docking programs do not always find correct solutions, either because they are not sampled or due to inaccuracies in the scoring functions. Quantifying the docking performance in real scenarios is essential to understanding their limitations, managing expectations and guiding future developments. Here, we present a fully automated pipeline for pose prediction validated by participating in the Continuous Evaluation of Ligand Pose Prediction (CELPP) Challenge. Acknowledging the intrinsic limitations of the docking method, we devised a strategy to automatically mine and exploit pre-existing data, defining-whenever possible-empirical restraints to guide the docking process. We prove that the pipeline is able to generate predictions for most of the proposed targets as well as obtain poses with low RMSD values when compared to the crystal structure. All things considered, our pipeline highlights some major challenges in the automatic prediction of protein-ligand complexes, which will be addressed in future versions of the pipeline. Keywords: D3R; automated pipeline; binding mode prediction; docking; pocket detection

LimberJack.jl: auto-differentiable methods for angular power spectra analyses

We present LimberJack.jl, a fully auto-differentiable code for cosmological analyses of 2 point auto- and cross-correlation measurements from galaxy clustering, CMB lensing and weak lensing data written in Julia. Using Julia’s auto-differentiation ecosystem, LimberJack.jl can obtain gradients for its outputs an order of magnitude faster than traditional finite difference methods. This makes LimberJack.jl greatly synergistic with gradient-based sampling methods, such as Hamiltonian Monte Carlo, capable of efficiently exploring parameter spaces with hundreds of dimensions. We first prove LimberJack.jl’s reliability by reanalysing the DES Y1 3×2-point data. We then showcase its capabilities by using a O(100) parameters Gaussian Process to reconstruct the cosmic growth from a combination of DES Y1 galaxy clustering and weak lensing data, eBOSS QSO’s, CMB lensing and redshift-space distortions. Our Gaussian process reconstruction of the growth factor is statistically consistent with the ΛCDM Planck 2018 prediction at all redshifts. Moreover, we show that the addition of RSD data is extremely beneficial to this type of analysis, reducing the uncertainty in the reconstructed growth factor by 20% on average across redshift. LimberJack.jl is a fully open-source project available on Julia’s general repository of packages and GitHub