ASPHALT PAVEMENT DESIGN ALTERNATIVES FOR ROADS WITH LOW AND MEDIUM TRAFFIC VOLUMES IN CLAYEY SOILS IN THE CITY OF SINCELEJO

The design of pavements is a work of civil engineers, who seeks provide structures that are resistant to traffic loads and the effects adverse effects of the environment, so that they can be built properly and manage to provide their users with a comfortable and safe experience, at the least possible cost. To achieve this objective, it is necessary to choose a design methodology according to the characteristics of the project and determine as precisely as possible, each of the variables involved in the design, taking into consideration that many of the design methodologies are empirical in nature, which in some way puts try the designer experience. It is for this reason that designs require multiple studies, which are usually costly in financial resources and time. All of the above, many institutions have taken on the task of developing design primers that allow obtain pavement structures based on the input of few parameters and obtain applicable solutions for most projects; however, they must be taken into account the limitations of these primers and their application environment, given the case, that many of them must be calibrated, to certain particular conditions of the project area, with the aim of objective of optimizing resources and guaranteeing lasting works. The objective of this work is to make an asphalt pavement design primer based on the methodology of AASTHO 1993 design, which allows finding a suitable design alternative for projects located in the city of Sincelejo, north of Colombia. For this purpose, it carried out studies of soils in clayey subgrades, which predominate in the town of study and that they classify as CL to obtain their bearing capacity values (CBR). Additionally, various levels of traffic were selected, which can occur and are defined the typical pavement structures. For method design parameters, the typical values expected in the study area were used, which resulted in, a design primer that is made up of twenty transit levels and four pavement structure alternatives, for each case, that satisfy these requests

Precision pharmacology: Mass spectrometry imaging and pharmacokinetic drug resistance

Failure of systemic cancer treatment can be, at least in part, due to the drug not being delivered to the tumour at sufficiently high concentration and/or sufficiently homogeneous distribution; this is termed as “pharmacokinetic drug resistance”. To understand whether a drug is being adequately delivered to the tumour, “precision pharmacology” techniques are needed. Mass spectrometry imaging (MSI) is a relatively new and complex technique that allows imaging of drug distribution within tissues. In this review we address the applicability of MSI to the study of cancer drug distribution from the bench to the bedside. We address: (i) the role of MSI in pre-clinical studies to characterize anti-cancer drug distribution within the body and the tumour, (ii) the application of MSI in pre-clinical studies to define optimal drug dose or schedule, combinations or new drug delivery systems, and finally (iii) the emerging role of MSI in clinical research

Drug delivery in a tumour cord model: a computational simulation

YesThe tumour vasculature and microenvironment is complex and heterogeneous, contributing to reduced delivery of cancer drugs to the tumour. We have developed an in silico model of drug transport in a tumour cord to explore the effect of different drug regimes over a 72 h period and how changes in pharmacokinetic parameters affect tumour exposure to the cytotoxic drug doxorubicin. We used the model to describe the radial and axial distribution of drug in the tumour cord as a function of changes in the transport rate across the cell membrane, blood vessel and intercellular permeability, flow rate, and the binding and unbinding ratio of drug within the cancer cells. We explored how changes in these parameters may affect cellular exposure to drug. The model demonstrates the extent to which distance from the supplying vessel influences drug levels and the effect of dosing schedule in relation to saturation of drug-binding sites. It also shows the likely impact on drug distribution of the aberrant vasculature seen within tumours. The model can be adapted for other drugs and extended to include other parameters. The analysis confirms that computational models can play a role in understanding novel cancer therapies to optimize drug administration and delivery

Robust coefficients of a higher order AR modelling in a speech enhancement system using parameterized Wiener filtering

We study some speech enhancement algorithms based on the iterative Wiener filtering method due to Lim-Oppenheim (1978), where the AR spectral estimation of the speech is carried out using a second-order analysis. But in our algorithms we consider an AR estimation by means of cumulant analysis. This work extends some preceding papers due to the authors, providing a generalization of third- and fourth-order algorithms by means of adding two parameters in the general expression of Wiener filtering. These parameters allow a better control of their performance. Some results are presented considering AWGN but listening tests give similar performance when other noises (diesel engine) are considered.Peer ReviewedPostprint (published version

Prescription of benzodiazepines in a public general hospital in theprovince of Mendoza: problematic consumption?

Aún administradas regularmente a niveles terapéuticos, las BZD poseen un potencial de dependencia mayor que otros fármacos de acción ansiolítica y se ha reportado tolerancia farmacológica cuando la prescripción es por un tiempo mayor a cuatro semanas, así como la aparición del síndrome de abstinencia en el 30% de los pacientes después de un tratamiento de ocho semanas de duración

Anomaly detection based on intelligent techniques over a bicomponent production plant used on wind generator blades manufacturing

[ES] Los avances tecnológicos en general, y en el ámbito de la industria en particular, conllevan el desarrollo y optimización de las actividades que en ella tienen lugar. Para alcanzar este objetivo, resulta de vital importancia detectar cualquier tipo de anomalía en su fase más incipiente, contribuyendo, entre otros, al ahorro energético y económico, y a una reducción del impacto ambiental. En un contexto en el que se fomenta la reducción de emisión de gases contaminantes, las energías alternativas, especialmente la energía eólica, juegan un papel crucial. En la fabricación de las palas de aerogenerador se recurre comúnmente a materiales de tipo bicomponente, obtenidos a través del mezclado de dos substancias primarias. En la presente investigación se evalúan distintas técnicas inteligentes de clasificación one-class para detectar anomalías en un sistema de mezclado para la obtención de materiales bicomponente empleados en la elaboración de palas de aerogenerador. Para lograr los modelos[EN] Technological advances, especially in the industrial field, have led to the development and optimization of the activities that takes place on it. To achieve this goal, an early detection of any kind of anomaly is very important. This can contribute to energy and economic savings and an environmental impact reduction. In a context where the reduction of pollution gasses emission is promoted, the use of alternative energies, specially the wind energy, plays a key role. The wind generator blades are usually manufactured from bicomponent material, obtained from the mixture of two dierent primary components. The present research assesses dierent one-class intelligent techniques to perform anomaly detection on a bicomponent mixing system used on the wind generator manufacturing. To perform the anomaly detection, the intelligent models were obtained from real dataset recorded during the right operation of a bicomponent mixing plant. 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Selective chemical probe inhibitor of Stat3, identified through structure-based virtual screening, induces antitumor activity

S31-201 (NSC 74859) is a chemical probe inhibitor of Stat3 activity, which was identified from the National Cancer Institute chemical libraries by using structure-based virtual screening with a computer model of the Stat3 SH2 domain bound to its Stat3 phosphotyrosine peptide derived from the x-ray crystal structure of the Stat3 beta homodimer. S31-201 inhibits Stat3-Stat3 complex formation and Stat3 DNA-binding and transcriptional activities. Furthermore, S31-201 inhibits growth and induces apoptosis preferentially in tumor cells that contain persistently activated Stat3. Constitutively climerized and active Stat3C and Stat3 SH2 domain rescue tumor cells from S31-201-induced apoptosis. Finally, S31-201 inhibits the expression of the Stat3-regulated genes encoding cyclin D1, BcI-xL, and survivin and inhibits the growth of human breast tumors in vivo. These findings strongly suggest that the antitumor activity of S31-201 is mediated in part through inhibition of aberrant Stat3 activation and provide the proof-of-concept for the potential clinical use of Stat3 inhibitors such as S31-201 in tumors harboring aberrant Stat3

Essential Physiological Differences Characterize Short- and Long-Lived Strains of Drosophila melanogaster

Aging is a multifactorial process which affects all animals. Aging as a result of damage accumulation is the most accepted explanation but the proximal causes remain to be elucidated. There is also evidence indicating that aging has an important genetic component. Animal species age at different rates and specific signaling pathways, such as insulin/insulin-like growth factor, can regulate life span of individuals within a species by reprogramming cells in response to environmental changes. Here, we use an unbiased approach to identify novel factors that regulate life span in Drosophila melanogaster. We compare the transcriptome and metabolome of two wild-type strains used widely in aging research: short-lived Dahomey and long-lived Oregon R flies. We found that Dahomey flies carry several traits associated with short-lived individuals and species such as increased lipoxidative stress, decreased mitochondrial gene expression, and increased Target of Rapamycin signaling. Dahomey flies also have upregulated octopamine signaling known to stimulate foraging behavior. Accordingly, we present evidence that increased foraging behavior, under laboratory conditions where nutrients are in excess increases damage generation and accelerates aging. In summary, we have identified several new pathways, which influence longevity highlighting the contribution and importance of the genetic component of aging.This work was supported by the European Research Council (260632 - ComplexI&Aging to A.S.); the Academy of Finland (252048 to A.S); the Biotechnology and Biological Sciences Research Council ( BB/M023311/1 to A.S.); the Centre for International Mobility (CIMO) (TM-12- 8391 and TM-13-8919 to N.G.); the Spanish Ministry of Economy and Competitiveness, Institute of Health Carlos III (PI14/00328 to R.P. and PI17/01286 to P.N.); the Autonomous Government of Catalonia (2017SGR696 and SLT002/16/00250 to R.P.); the Ministry of Education and Science of Ukraine (grant number 0117U006426 to O.L.); FEDER funds from the European Union (“A way to build Europe” to R.P.); and the Doctoral Programme in Medicine and Life Sciences of University of Tampere (to T.R). R.S is a Sir Henry Wellcome Postdoctoral Fellow funded by Wellcome (204715/Z/16/Z