A Tractable Product Channel Model for Line-of-Sight Scenarios

We present a general and tractable fading model for line-of-sight (LOS) scenarios, which is based on the product of two independent and non-identically distributed $\kappa$-$\mu$ shadowed random variables. Simple closed-form expressions for the probability density function, cumulative distribution function and moment-generating function are derived, which are as tractable as the corresponding expressions derived from a product of Nakagami-$m$ random variables. This model simplifies the challenging characterization of LOS product channels, as well as combinations of LOS channels with non-LOS ones. We leverage these results to analyze performance measures of interest in the contexts of wireless powered and backscatter communications, where both forward and reverse links are inherently of LOS nature, as well as in device-to-device communications subject to composite fading. In these contexts, the model shows a higher flexibility when fitting field measurements with respect to conventional approaches based on product distributions with deterministic LOS, together with a more complete physical interpretation of the underlying propagation characteristics.Comment: This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessibl

A Tractable Line-of-Sight Product Channel Model: Application to Wireless Powered Communications

We here present a general and tractable fading model for line-of-sight (LOS) scenarios, which is based on the product of two independent and non-identically distributed κ- μ shadowed random variables. Simple closed-form expressions for the probability density function and cumulative distribution function are derived, which are as tractable as the corresponding expressions derived from a product of Nakagami-m random variables. This newly proposed model simplifies the challenging characterization of LOS product channels, as well as combinations of LOS channels with non-LOS ones. Results are used to analyze performance measures of interest in the context of wireless powered communications.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech

Forecast Error Sensitivity Analysis for Bidding in Electricity Markets with a Hybrid Renewable Plant Using a Battery Energy Storage System

Deep integration of renewable energies into the electricity grid is restricted by the problems related to their intermittent and uncertain nature. These problems affect both system operators and renewable power plant owners since, due to the electricity market rules, plants need to report their production some hours in advance and are, hence, exposed to possible penalties associated with unfulfillment of energy production. In this context, energy storage systems appear as a promising solution to reduce the stochastic nature of renewable sources. Furthermore, batteries can also be used for performing energy arbitrage, which consists in shifting energy and selling it at higher price hours. In this paper, a bidding optimization algorithm is used for enhancing profitability and minimizing the battery loss of value. The algorithm considers the participation in both day-ahead and intraday markets, and a sensitivity analysis is conducted to check the profitability variation related to prediction uncertainty. The obtained results highlight the importance of bidding in intraday markets to compensate the prediction errors and show that, for the Iberian Electricity Market, the uncertainty does not significantly affect the final benefits

The Role of the Dysregulation of Long Non-Coding and Circular RNA Expression in Medulloblastoma: A Systematic Review

Medulloblastoma (MB) is the most common malignant brain tumor in childhood. Although recent multi-omic studies have led to advances in MB classification, there is still room for improvement with regard to treatment response and survival. Therefore, identification of new and less invasive biomarkers is needed to refine the diagnostic process and to develop more personalized treatment strategies. In this context, non-coding RNAs (ncRNAs) could be useful biomarkers for MB. In this article, we reviewed the role of two types of ncRNAs, long non-coding (lncRNAs) and circular RNAs (circRNAs), as biomarkers for the diagnosis, subgroup classification, and prognosis of MB. We also reviewed potential candidates with specific functions and mechanisms of action in the disease. We performed a search in PubMed and Scopus using the terms (“long non coding RNAs” OR ”lncRNAs”) and (“circular RNAs” OR ”circRNAs”) AND ”medulloblastoma” to identify biomarker discovery or functional studies evaluating the effects of these ncRNAs in MB. A total of 26 articles met the inclusion criteria. Among the lncRNAs, the tumorigenic effects of the upregulated lnc-IRX3-80 and lnc-LRRC47-78 were the most studied in MB. Among the circRNAs, the upregulation of circSKA3 and its functional impact in MB cell lines were the most consistent results, so this circRNA could be considered a potential biomarker in MB. Additional validation is required for many deregulated lncRNAs and circRNAs; therefore, further studies are warranted.This research was funded by the Basque Foundation for Health Innovation and Research (IT1559-22) and EiTB Maratoia (Bioef) (BIO20/CI/017). I.M.d.E. was supported by an Ikasiker fellowship and an Asociación Española Contra el Cáncer (AECC) (Prácticas Laboratorio de Verano AECC 2022-2608A48D0E01012) fellowship for his lab internship. A.G.-C. was supported by a postdoctoral fellowship from the Fundación Vasca de Innovación e Investigación Sanitaria (Bioef) (BIO20/CI/016). U.I. was supported by a pre-doctoral contract from UPV/EHU

Dashboard for the VISIR remote lab

The VISIR dashboard (VISIR-DB) is a learning analytics tool connected with the VISIR remote lab. In VISIR, every action performed by a student from the interface over the remote laboratory and back is logged and recorded. VISIR-DB helps visualizing, in a fast and deep way, the recorded logs from this communication. Using this tool, a teacher can analyze and understand better how the students are using the remote lab during their learning process on analog electronics. With this information, the VISIR platform can be improved and the use of remote labs can be better understood.The authors acknowledge the support provided by the European Project PILAR. Platform Integration of Laboratories based on the Architecture of visiR - Erasmus+ Strategic Partnership nº 2016-1-ES01-KA203-025327info:eu-repo/semantics/publishedVersio

Wikipedia eta itzulpen automatikoa: "harri batez bizpalau xori"

Artikulu honetan elkarlanean egindako proiektu bat aurkezten dugu. Boluntario talde bat bildu dugu espainierazko Wikipediako hainbat artikulu euskarara itzultzeko, baina boluntarioen lana errazteko, Matxin itzultzaile automatikoa erabili dugu aurreitzulpenak sortzeko, eta horrela boluntarioen lana errare eta akatsak dituzten itzulpen automatiko horiek aztertu eta zuzentzea izan da. Lan honekin, batetik, Euskal Wikipedia aberastu dugu, 50.000 hitz berri gehituz. Beste alde batetik, sistema automatikoaren itzulpenak eta posteditatutako bertsio zuzenduekin corpus bat sortu dugu. Corpus hori erabili dugu posteditore estatistiko bat sortzeko, Matxin itzulpen automatikoko sistemaren irteeraren doitasuna % 10ean hobetuz

A field portable method for the semi-quantitative estimation of dehydration tolerance of photosynthetic tissues across distantly related land plants.

Preprint sustituido por postprint 9-12-2019Desiccation tolerant (DT) plants withstand complete cellular dehydration (reaching relative water contents below 30% in their photosynthetic tissues), while desiccation sensitive (DS) plants exhibit different degrees of dehydration tolerance (DHT), never surviving water loss >70%. To date, no procedure for the quantitative evaluation of DHT extent exists that is able to discriminate DS species with different degrees of DHT from truly DT plants. We developed a simple, feasible, and portable protocol to differentiate between constitutive DT and different degrees of DHT in photosynthetic tissues. The protocol is based on (i) controlled desiccation inside Falcon tubes equilibrated at three different relative humidities (RH: 80%, 50% and <10%) and (ii) evaluation of the average recovery level of maximal photochemical efficiency (Fv/Fm) after rehydration. Applying the method to 10 bryophytes and 28 tracheophytes from various locations, we found that (i) imbibition of absorbent material with saturated salt solutions inside the tubes provides stable RH and avoids direct contact with samples; (ii) for 50 mL capacity tubes, the optimal initial plant amount is 50–200 mg FW; (iii) the tubes can be re-used up to three times with very little changes in RH; (iv) the method is useful in remote locations due to minimal instrumental requirements; (v) a threshold of 30% recovery of the initial Fv/Fm correctly categorises DT species with a few exceptions among tracheophytes: poikilochorophyllous DT-species and some DS herbs and gymnosperms. The protocol provides a semi-quantitative expression of DHT that facilitates comparisons of species with different morpho-physiological traits and/or ecological attributes.Basque Government (UPV/EHU IT-1018-16); Spanish Ministry of Economy and Competitiveness (MINECO) and the ERDF (FEDER) (CTM2014-53902-C2-2-P to JIGP and BFM, CGL2014-54127-P to ENO and JMA, and CTM2014-53902-C2-1-P to JF and JG); Juan de la Cierva-Incorporation fellowship IJCI-2014-22489 to BFM and Juan de la Cierva-Formación FPDI-2013-18167 and FPDI-2013-17135 to MJCM and JoG respectively); MC was supported by a predoctoral fellowship FPI/1700/2014 from the Conselleria d’Educació, Cultura i Universitats (Govern de les Illes Balears) and ESF; MN was supported by a predoctoral fellowship BES-2015-072578 from the Spanish Ministry of Economy and Competitiveness (MINECO) co-financed by the ESF. APC was supported by Spanish Ministry of Education, Culture and Sport (MECD) fellowship (FPU15/02054). MLP was supported by a pre-doctoral grant from the Basque Government. Authors also wish to thank for giving access to the living plant collection of the Royal Botanic Garden Edinburgh. Jill M. Farrant acknowledges funding from the South African Department of Science and Technology and National Research Foundation (grant number 98406

ZMC 211-3 - KAEDAH MATEMATIK II MAC-APRIL 1989.pdf

The work presented here is part of a larger study to identify novel technologies and biomarkers for early Alzheimer disease (AD) detection and it focuses on evaluating the suitability of a new approach for early AD diagnosis by non-invasive methods. The purpose is to examine in a pilot study the potential of applying intelligent algorithms to speech features obtained from suspected patients in order to contribute to the improvement of diagnosis of AD and its degree of severity. In this sense, Artificial Neural Networks (ANN) have been used for the automatic classification of the two classes (AD and control subjects). Two human issues have been analyzed for feature selection: Spontaneous Speech and Emotional Response. Not only linear features but also non-linear ones, such as Fractal Dimension, have been explored. The approach is non invasive, low cost and without any side effects. Obtained experimental results were very satisfactory and promising for early diagnosis and classification of AD patients