A Quantitative Analysis of Published Skull Base Endoscopy Literature

Objectives Skull base endoscopy allows for minimal access approaches to the sinonasal contents and cranial base. Advances in endoscopic technique and applications have been published rapidly in recent decades. Setting: We utilized an Internet-based scholarly database (Web of Science, Thomson Reuters) to query broad-based phrases regarding skull base endoscopy literature. Participants: All skull base endoscopy publications. Main Outcome Measures: Standard bibliometrics outcomes. Results: We identified 4,082 relevant skull base endoscopy English-language articles published between 1973 and 2014. The 50 top-cited publications (n = 51, due to articles with equal citation counts) ranged in citation count from 397 to 88. Most of the articles were clinical case series or technique descriptions. Most (96% [49/51])were published in journals specific to either neurosurgery or otolaryngology. Conclusions: A relatively small number of institutions and individuals have published a large amount of the literature. Most of the publications consisted of case series and technical advances, with a lack of randomized trials

Experimental Assessment of a Forward-Collision Warning System Fusing Deep Learning and Decentralized Radio Sensing

This paper presents the idea of an automatic forward-collision warning system based on a decentralized radio sensing (RS) approach. In this framework, a vehicle in receiving mode employs a continuous waveform (CW) transmitted by a second vehicle as a probe signal to detect oncoming vehicles and warn the driver of a potential forward collision. Such a CW can easily be incorporated as a pilot signal within the data frame of current multicarrier vehicular communication systems. Detection of oncoming vehicles is performed by a deep learning (DL) module that analyzes the features of the Doppler signature imprinted on the CW probe signal by a rapidly approaching vehicle. This decentralized CW RS approach was assessed experimentally using data collected by a series of field trials conducted in a two-lanes high-speed highway. Detection performance was evaluated for two different DL models: a long short-term memory network and a convolutional neural network. The obtained results demonstrate the feasibility of the envisioned forward-collision warning system based on the fusion of DL and decentralized CW RS

Evaluating Risk and Possible Adaptations to Climate Change Under a Socio-Ecological System Approach

Evidence suggests that climate change could drastically reduce Mexico's agricultural productivity with severe socio-ecological consequences. Population growth and the increasing demand of resources will exacerbate these impacts. Focusing on rainfed maize production, we evaluate the socio-ecological risk that municipalities currently face and how climate change could modify it. Municipalities were classified based on their biophysical and socioeconomic traits like temperature, precipitation, population, gross domestic product, marginalization, and agricultural subsidies. The study identifies municipalities that would face higher risk under climate change conditions, and it evaluates whether increases in agricultural subsidies could be effective for reducing the farmers' future risk. Our results show that during the 2010's, 36.8% of the municipalities and 15% of the population were at very high and high risk, respectively. By 2070, under a high-warming scenario these figures increase to 56.5 and 18.5%. We find that a generalized augment in agricultural subsidies is not enough to compensate for the effects of climate change on the socio-ecological risk of rainfed maize producers. We suggest that transformative adaptation is required for managing the agricultural risk that socio-ecological systems experience under climate change conditions. Such adaptation strategies should include poverty alleviation, promotion of resistant and native varieties of crops, capacity building to improve management and water use, sustainable technification, and soil restoration

Novel Ligand-Based Approach to Screening of Large Databases for Paramphistomicide Lead Generation

In this report, non-stochastic and stochastic 2D atom-based linear indices were used to the discrimination of paramphistomicide compounds from inactive ones. Two linear classification-based QSAR models were obtained. These equations, performed considering both non-stochastic and stochastic TOMOCOMD-CARDD descriptors, classify correctly 88.57% of chemicals in database, for a good Mathew’s correlation coefficient of 0.77. A few anthelmintics compounds and other drugs from the Merck Index, Negwer handbook, and Goodman & Gilman were selected/identified by the models as possible paramphistomicide, one of them was found in the recent literature as possessing this activity. The results demonstrate the usefulness of TOMOCOMD-CARDD method for drug discovery of new lead paramphistomicide compounds.En este informe se emplearon índices lineales estocásticos y no estocásticos en 2D, basados en átomos, para discriminar los compuestos de acción paramfistomicida de los inactivos. Se obtuvieron dos modelos lineales QSAR basados en la clasificación. Estas ecuaciones, llevadas a cabo teniendo en cuenta descriptores TOMOCOMD-CARDD tanto estocásticos como no estocásticos, clasifican correctamente el 88,57% de los elementos químicos de la base de datos, arrojando un buen coeficiente de correlación de Mathews del 0,77. Los modelos seleccionaron/identificaron algunos compuestos antihelmínticos y otros fármacos del índice Merck, del manual Negwer y de Goodman & Gilman como posibles paramfistomicidas, y la literatura reciente incluye a uno de ellos como poseedor de esta actividad. Los resultados demuestran la utilidad del método TOMOCOMD-CARDD para el descubrimiento de fármacos y de nuevos compuestos líderes de acción paramfistomicida.Ciencias Experimentale

Orthostatic Tremor is Responsive to Bilateral Thalamic Deep Brain Stimulation: Report of Two Cases Performed Asleep

Background: Orthostatic tremor (OT) is a hyperkinetic movement disorder characterized by rapid tremor in the lower extremities or trunk upon standing. Case Report: We report two patients presenting with OT, whose symptoms improved markedly following asleep bilateral thalamic deep brain stimulation (DBS) surgery. Discussion: Medically refractory OT can respond favorably to asleep bilateral DBS surgery similar to awake surgery, and may have the advantages of less psychological trauma to the patient, shorter procedure times, and less exposure to anesthesia

R&D&i Management System in Distributed Manufacturing Systems

The R&D&i has become a key strategy to ensure competitiveness in a global market. New business models and Distributed Manufacturing Systems (DMS) arise as a form of adaptive response to new market situations. Although R&D&I is incorporated at the strategic level, a lack of information about the management of R&D&I in distributed centers, theirs activities or organizational structure is detected. The aim of this paper is to propose a methodology to implement the Management System (MS) of R&D&I in a Distributed Manufacturing System and enhance the knowledge in relation to this topic. In turn, the management of these activities may differ from the existing manufacturing and their Quality Management System (QMS) so the quality will be discussed in terms of research, development and innovation.Gobierno de Andalucía (PAIDI)Unión Europe

Fungal colonization with Pneumocystis correlates to increasing chloride channel accessory 1 (hCLCA1) suggesting a pathway for up-regulation of airway mucus responses, in infant lungs

AbstractFungal colonization with Pneumocystis is associated with increased airway mucus in infants during their primary Pneumocystis infection, and to severity of COPD in adults. The pathogenic mechanisms are under investigation. Interestingly, increased levels of hCLCA1 – a member of the calcium-sensitive chloride conductance family of proteins that drives mucus hypersecretion – have been associated with increased mucus production in patients diagnosed with COPD and in immunocompetent rodents with Pneumocystis infection. Pneumocystis is highly prevalent in infants; therefore, the contribution of Pneumocystis to hCLCA1 expression was examined in autopsied infant lungs. Respiratory viruses that may potentially increase mucus, were also examined. hCLCA1 expression was measured using actin-normalized Western-blot, and the burden of Pneumocystis organisms was quantified by qPCR in 55 autopsied lungs from apparently healthy infants who died in the community. Respiratory viruses were diagnosed using RT-PCR for RSV, metapneumovirus, influenza, and parainfluenza viruses; and by PCR for adenovirus. hCLCA1 levels in virus positive samples were comparable to those in virus-negative samples. An association between Pneumocystis and increased hCLCA1 expression was documented (P=0.028). Additionally, increasing Pneumocystis burden correlated with increasing hCLCA1 protein expression levels (P=0.017). Results strengthen the evidence of Pneumocystis-associated up-regulation of mucus-related airway responses in infant lungs. Further characterization of this immunocompetent host-Pneumocystis-interaction, including assessment of potential clinical significance, is warranted

Estudio de la biopelícula formada por dos especies de pseudomonas asociadas a plantas

Las bacterias pertenecientes al género Pseudomonas constituyen un modelo de estudio de la interacción microorganismo-planta. Pseudomonas syringae es una especie que produce enfermedades en la parte aérea de algunas plantas. Por otro lado, Pseudomonas chlororaphis interacciona con la raíz y ha demostrado ser un agente de control biológico. Ambas especies forman biopelículas y, a pesar de su diferente estilo de vida, análisis in silico han puesto de manifiesto la existencia de regiones genómicas tanto comunes como diferenciales que parecen estar implicadas en la biosíntesis de matriz extracelular. En este trabajo se han construido mutantes de estas regiones y analizado su implicación en la formación de biopelícula y aspectos relacionados.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech. Este trabajo ha sido financiado por el Proyecto de Excelencia de la CICE, Junta de Andalucía (P12-AGR-1473) y el Proyecto del Plan Nacional I+D+I MINECO (AGL2017-83368-C2-l-R), cofinanciados ambos con fondos FEDER. Zaira María Heredia está financiada por un contrato del programa FPU del Ministerio de Educación (referencia FPU15/03644)

A Psl-like polysaccharide has a key role in the biofilm architecture of two plant-associated Pseudomonas

Comunicación congresoThe Psl polysaccharide has only been studied in Pseudomonas aeruginosa, and its role in bacteria that interact with plants is still unknown. On the one hand, P. syringae is a model of study of plant-pathogen interactions. On the other hand, P. chlororaphis is a biocontrol agent of plant-fungal diseases, as the white root rot caused by Rosellinia necatrix. In silico analysis have let us identify in both species a genomic region which is ortholog to the Psl-encoding region of P. aeruginosa PAO1. We constructed mutants of this region in both strains and analysed its phenotype in biofilm formation, both in static microwell plates and dynamic flow-cell chamber experiments. The results revealed a different and an important role of this polysaccharide in the biofilm architecture of both strains. Furthermore, in P. syringae this Psl-like polysaccharide has a very important role in swarming motility. All these striking phenotypes led us further study the implication of this polysaccharide in the lifestyles of both models of plant-bacteria interaction.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech. AGL2017-83368-C2-1-

Developing Web Geographic Information System with the NDT Methodology

Ministerio de Ciencia e Innovación TIN2010-20057-C03-02Ministerio de Ciencia e Innovación TIN 2010-12312-EJunta de Andalucía TIC-578