Non-linear System Identification with Composite Relevance Vector Machines

Nonlinear system identification based on relevance vector machines (RVMs) has been traditionally addressed by stacking the input and/or output regressors and then performing standard RVM regression. This letter introduces a full family of composite kernels in order to integrate the input and output information in the mapping function efficiently and hence generalize the standard approach. An improved trade-off between accuracy and sparsity is obtained in several benchmark problems. Also, the RVM yields confidence intervals for the predictions, and it is less sensitive to free parameter selectionPublicad

Kernel-Based Framework for Multitemporal and Multisource Remote Sensing Data Classification and Change Detection

The multitemporal classification of remote sensing images is a challenging problem, in which the efficient combination of different sources of information (e.g., temporal, contextual, or multisensor) can improve the results. In this paper, we present a general framework based on kernel methods for the integration of heterogeneous sources of information. Using the theoretical principles in this framework, three main contributions are presented. First, a novel family of kernel-based methods for multitemporal classification of remote sensing images is presented. The second contribution is the development of nonlinear kernel classifiers for the well-known difference and ratioing change detection methods by formulating them in an adequate high-dimensional feature space. Finally, the presented methodology allows the integration of contextual information and multisensor images with different levels of nonlinear sophistication. The binary support vector (SV) classifier and the one-class SV domain description classifier are evaluated by using both linear and nonlinear kernel functions. Good performance on synthetic and real multitemporal classification scenarios illustrates the generalization of the framework and the capabilities of the proposed algorithms.Publicad

Gestión de almacenes para incrementar la productividad del almacén de la empresa Molino Galán, Guadalupe, 2022

El presente trabajo de investigación tiene como principal objetivo determinar de qué manera la aplicación de la gestión de almacenes incrementa la productividad del almacén de la empresa Molino Galán. El estudio es de tipo aplicado, de diseño pre experimental donde se evaluó el comportamiento de la variable dependiente Productividad producto de la Gestión de almacenes, en el pre test y también en el post test. La población estuvo conformada por la información de los procesos del almacén durante los meses de febrero a marzo del 2021, y la muestra fue igual a la población. Los instrumentos empleados para la recolección de datos fueron guía de observación, ficha de registro de productividad y ficha de registro de inventario. Los datos fueron analizados mediante el programa SPSS, con un nivel de significancia de 0.010 (P<0.050) mediante la prueba no paramétrica de Wilcoxon. Se concluye que la gestión de almacenes mejora la productividad en un 19.7

Chemoselective addition of grignard reagents to alkoxycarbonylalkyl-N-imidazolium-N-methyl amides: synthesis of 4-oxo and homologous esters

A method for the synthesis of 4-oxo and homologous esters is achieved by metalation of alkoxycarbonylalkyl-N-imidazolium-N-methyl amides with 1equiv of LDA followed by highly chemoselective addition of 1 equiv of a Grignard reagent.Ministerio de Educación y Cienci

Synthesis of aldehydes from acyl chlorides via 1-(acylmethylamino)-3-methylimidazolium salts

The reaction of acyl chlorides with 1-amino-3-methylimidazolium salts, followed by N-methylation of the resulting H-aminides, afforded 1-(acylmethylamino)-3-methylimidazolium salts which, upon treatment with DIBALHgave aldehydes in good yields. A nalogously, dialdehydes were obtained from the corresponding bis-salts.The authors are grateful for grant (MAH) from Ministerio de Educación y Ciencia\ud and financial support from Comisión Interministerial de Ciencia y Tecnología (CICYT) through the project\ud PB90-028

Synthesis of carbonyl and dicarbonyl compounds from organometallic reagents and N-imidazolium-N-methyl amides and bis-amides

A new method for the synthesis of selective acylating agents is described from the reaction of carboxylic acids with 3-methyl-1-methylamino-3H-imidazol-1-ium salts in the presence of appropriate coupling reagents. The amides and bis-amides thus prepared reacted selectively with organometallics to afford ketones and diketones and with DIBALH to give aldehydes and dialdehydes in high yields.The authors acknowledge the Comisió Interdepartamental de Recerςa i Innovació Tecnológica (CIRIT, project QFN94-4619) for financial support and the Ministerio de Educaci6n y Ciencia for a studentship (M.A.H.)

Learning non-linear time scales with Kernel γ-Filters

A family of kernel methods, based on the γ-filter structure, is presented for non-linear system identification and time series prediction. The kernel trick allows us to develop the natural non-linear extension of the (linear) support vector machine (SVM) γ-filter, but this approach yields a rigid system model without non-linear cross relation between time-scales. Several functional analysis properties allow us to develop a full, principled family of kernel γ-filters. The improved performance in several application examples suggests that a more appropriate representation of signal states is achieved.Publicad

Influence of the undeformed chip cross section in finishing turning of Inconel 718 with PCBN tools

Proceedings of: 8th CIRP Conference on High Performance Cutting (HPC 2018), 25-27 June 2018, Budapest, Hungary.Inconel 718 is a difficult-to-cut material due to its poor thermal conductivity, severe work hardening and high strength at high temperature. Machining of Inconel 718 with Polycrystalline Cubic Boron Nitride (PCBN) tools at high speed in finishing operations may lead to brittle fracture in the cutting tool because of the low toughness of PCBN inserts in comparison to other cutting materials. PCBN inserts shaped with large tip radius are commonly used to remove small values of depth of cut in order to counteract these aspects. When applying multipass turning strategies with this configuration, a significant peak may occur in the response of the machining forces at the end of the pass in the second and successive passes. This fact may also be present when turning inner profiles or into a shoulder. The increase of the undeformed chip cross section and the high specific cutting forces of Inconel 718 give rise to this peak of the machining forces. In this work, different tests involving multipass finishing turning in Inconel 718 have been carried out in order to study the magnitude of the peak forces for different cutting conditions. A PCBN tool at high cutting speed with coolant has been employed at different feed rates and depths of cut. On the other hand, an analytical study of the undeformed chip section at the end of each turning pass has been performed in order to determine its relation to the machining peak forces. The results have shown that these peaks in the machining forces are strongly related to the tool tip radius and the cutting parameters. The machining force at the end of a turning pass can increase significantly their values during a short interval. Consequently, this effect may influence tool wear progression leading to a premature breakage of the tool.This work was supported by the Spanish Ministry of Economy and Competitiveness and FEDER program under grant DPI2014-56137-C2-2-R

Nanomedicine for autophagy modulation in cancer therapy: a clinical perspective

In recent years, progress in nanotechnology provided new tools to treat cancer more effectively. Advances in biomaterials tailored for drug delivery have the potential to overcome the limited selectivity and side effects frequently associated with traditional therapeutic agents. While autophagy is pivotal in determining cell fate and adaptation to different challenges, and despite the fact that it is frequently dysregulated in cancer, antitumor therapeutic strategies leveraging on or targeting this process are scarce. This is due to many reasons, including the very contextual effects of autophagy in cancer, low bioavailability and non-targeted delivery of existing autophagy modulatory compounds. Conjugating the versatile characteristics of nanoparticles with autophagy modulators may render these drugs safer and more effective for cancer treatment. Here, we review current standing questions on the biology of autophagy in tumor progression, and precursory studies and the state-of-the-art in harnessing nanomaterials science to enhance the specificity and therapeutic potential of autophagy modulators.Work in the laboratories of the authors is funded by grants from the Italian Ministries for Health (Ricerca Corrente) to M.T., from Education, University and Research (MIUR; 000003_17_MAP_STRIP and FISR 2020-Covid FISR2020IP_03366) to R.S; and from the Spanish Ministerio de Ciencia e Innovación (PID2021-128106NA-I00). M.C. is currently a recipient of a Ramón y Cajal tenure track contract from the Spanish Ministry of Science and Innovation (RYC2021-031003-I) and was funded by “Maria Zambrano” contract from Spanish Ministry of Universities and Complutense University of Madrid. M.S-A is recipient of a Ramón y Cajal tenure track contract from the Spanish Ministry of Science and Innovation (RYC2020-029690-I)