Acclimation of microorganisms for an efficient production of volatile fatty acids and biogas from mezcal vinasses in a dark fermentation process.

Mezcal is an alcoholic artisanal drink made from agave plants in Mexico. Its production causes the generation of wastewater called vinasses, which are highly polluting residues due to its concentration of organic matter as chemical oxygen demand (COD) (35,000-122,000 mg/L) and acidity (pH < 4). Due to their organic content, these residues can be used in dark fermentation to obtain biogas, which is rich in hydrogen. In this work, the acclimation of inoculum by means of a dark fermentation process, in the presence of toxic compounds from mezcal vinasses was studied. The strategy of increasing the initial concentration of vinasse in each treatment cycle in a sequencing batch reactor (SBR) reactor was applied. It was possible to obtain a maximum biogas production of 984 ± 187 mL/L, from vinasses (18,367 ± 1,200 mg COD/L), with an organic matter removal efficiency of 20 ± 1%. A maximum generation of volatile fatty acids (VFA) of 980 ± 538 mg/L equivalent to a production of 74 ± 21% of the influent concentration and removal rate of organic matter of 1,125 ± 234 mg COD/L d-1 equivalent to a removal efficiency of 20 ± 4% was obtained from vinasses with a concentration of 19,648 ± 1,702 mg COD/L.

[Laryngeal dystonia: novel forms of therapeutic administration of botulinum toxin by direct routes]. / Distonia laringea: nuevas formas de administracion terapeutica de toxina botulinica por via directa.

AIM: To describe our experience in the treatment of laryngeal dystonia (in abduction and adduction), with special emphasis given to the technical aspects (approach procedure, dosage and type of botulinum toxin type A used), as well as treatment response and possible side effects. PATIENTS AND METHODS: We conducted a cross-sectional descriptive study of a sample of patients with laryngeal dystonia treated by means of transoral administration of onabotulinumtoxinA or incobotulinumtoxinA over a period of 10 years (2007-2017). Data collected include demographic and clinical variables, treatment response (based on a self-rating scale), the duration of treatment and the appearance of side effects. SAMPLE SIZE: 15 patients (11 women; mean age: 44.06 years) with laryngeal dystonia (mean time since onset of 40 months; 12 patients with dystonia in adduction) and 174 administrations (92% incobotulinumtoxinA; average dosage of 5 U in each vocal cord). The procedure took an average of 11.7 minutes to perform. Response was good in 31% of the procedures and very good in 57.5%. Side effects were recorded in 14.4% of the procedures, although always mild and transitory, with a predominance of dysphagia and dysphonia. CONCLUSION: In our experience, transoral administration of botulinum toxin type A to treat laryngeal dystonia has proved to be a simple, quick, effective and safe technique.

TITLE: Distonia laringea: nuevas formas de administracion terapeutica de toxina botulinica por via directa.Objetivo. Describir nuestra experiencia en el tratamiento de la distonia laringea (en abduccion y aduccion), destacando los aspectos tecnicos (procedimiento de abordaje, dosis y tipo de toxina botulinica de tipo A utilizada), asi como la respuesta al tratamiento y los posibles efectos adversos. Pacientes y metodos. Estudio descriptivo transversal de una muestra de pacientes con distonia laringea tratados mediante administracion transoral de onabotulinumtoxina o incobotulinumtoxina A durante un periodo de 10 años (2007-2017). Se recogen las variables demograficas y clinicas, la respuesta al tratamiento (a partir de una escala de autoevaluacion), la duracion de este y la aparicion de efectos adversos. Resultados. Tamaño muestral: 15 pacientes (11 mujeres; edad media: 44,06 años) con distonia laringea (tiempo medio de evolucion de 40 meses; 12 pacientes con distonia en aduccion) y 174 administraciones (92% incobotulinumtoxina A; dosis media de 5 U en cada cuerda vocal). La duracion media del procedimiento fue de 11,7 minutos. La respuesta fue notable en el 31% de los procedimientos y alta en el 57,5%. Se registraron efectos adversos en el 14,4% de los procedimientos, siempre de caracter leve y transitorio, con predominio de la disfagia y la disfonia. Conclusion. En nuestra experiencia, la administracion transoral de toxina botulinica de tipo A como tratamiento de la distonia laringea ha demostrado ser una tecnica sencilla, rapida, eficaz y segura.

Ising model with conserved magnetization on the human connectome: Implications on the relation structure-function in wakefulness and anesthesia.

Dynamical models implemented on the large scale architecture of the human brain may shed light on how a function arises from the underlying structure. This is the case notably for simple abstract models, such as the Ising model. We compare the spin correlations of the Ising model and the empirical functional brain correlations, both at the single link level and at the modular level, and show that their match increases at the modular level in anesthesia, in line with recent results and theories. Moreover, we show that at the peak of the specific heat (the critical state), the spin correlations are minimally shaped by the underlying structural network, explaining how the best match between the structure and function is obtained at the onset of criticality, as previously observed. These findings confirm that brain dynamics under anesthesia shows a departure from criticality and could open the way to novel perspectives when the conserved magnetization is interpreted in terms of a homeostatic principle imposed to neural activity.

Mesquite wood chips (Prosopis) as filter media in a biofilter system for municipal wastewater treatment.

The biofiltration system over organic bed (BFOB) uses organic filter material (OFM) to treat municipal wastewater (MWW). This study evaluated the performance of a BFOB system employing mesquite wood chips (Prosopis) as OFM. It also evaluated the effect of hydraulic loading rates (HLRs) in order to achieve the operational parameters required to remove organic matter, suspended material, and pathogens, thus meeting Mexican and US regulations for reuse in irrigation. Two biofilters (BFs) connected in series were installed; the first one aerated (0.62 m(3)air m(-2)h(-1)) and the second one unaerated. The source of MWW was a treatment plant located in Durango, Mexico. For 200 days, three HLRs (0.54, 1.07, and 1.34 m(3)m(-2)d(-1)) were tested. The maximum HLR at which the system showed a high removal efficiency of pollutants and met regulatory standards for reuse in irrigation was 1.07 m(3)m(-2)d(-1), achieving removal efficiencies of biochemical oxygen demand (BOD5) 92%, chemical oxygen demand (COD) 78%, total suspended solids (TSS) 95%, and four log units of fecal coliforms. Electrical conductivity in the effluent ensures that it would not cause soil salinity. Therefore, mesquite wood chips can be considered an innovative material suitable as OFM for BFs treating wastewaters.

Synergy, redundancy and unnormalized Granger causality.

We analyze by means of Granger causality the effect of synergy and redundancy in the inference (from time series data) of the information flow between subsystems of a complex network. Whilst fully conditioned Granger causality is not affected by synergy, the pairwise analysis fails to put in evidence synergetic effects. We show that maximization of the total Granger causality to a given target, over all the possible partitions of the set of driving variables, puts in evidence redundant multiplets of variables influencing the target, provided that an unnormalized definition of Granger causality is adopted. Along the same lines we also introduce a pairwise index of synergy (w.r.t. to information flow to a third variable) which is zero when two independent sources additively influence a common target; thus, this definition differs from previous definitions of synergy.

Development of an analytical method for the determination of the misuse in sports of boldenone through the analysis of urine by on-line coupling liquid chromatography-gas chromatography-combustion-isotope ratio mass spectrometry.

Boldenone (Bo), androsta-1,4-dien-17ß-ol-3-one, is an anabolic androgenic steroid not clinically approved for human application. Despite this, many cases are reported every year of athletes testing positive for Bo or its main metabolite 5ß-androst-1-en-17ß-ol-3-one (BoM). Recently the capability of different human intestinal bacteria to produce enzymes able to modify endogenous steroids in Bo has been demonstrated. When a urinary concentration of Bo and/or BoM between 5 and 30 ng/mL is measured a complementary analysis by gas chromatography combustion isotope ratio mass spectrometry (GC-C-IRMS) must be carried out to discriminate the endogenous or exogenous origin. In the present work, a novel analytical method that couples LC-GC by means of the TOTAD interface with C-IRMS is described. The method is based on a first RPLC separation of unacetyled steroids, followed by acetylation and automated on-line LC-GC-C-IRMS, which includes a second RPLC clean-up of acetyl Bo and BoM, isolation of the two fractions in a fraction collector and their consecutive analysis by GC-C-IRMS. The method has been applied to the analysis of urine samples fortified at 5 and 10 ng/mL, where it has shown a good performance.

Quantitative estimation of temperature variations in plantar angiosomes: a study case for diabetic foot.

Thermography is a useful tool since it provides information that may help in the diagnostic of several diseases in a noninvasive and fast way. Particularly, thermography has been applied in the study of the diabetic foot. However, most of these studies report only qualitative information making it difficult to measure significant parameters such as temperature variations. These variations are important in the analysis of the diabetic foot since they could bring knowledge, for instance, regarding ulceration risks. The early detection of ulceration risks is considered an important research topic in the medicine field, as its objective is to avoid major complications that might lead to a limb amputation. The absence of symptoms in the early phase of the ulceration is conceived as the main disadvantage to provide an opportune diagnostic in subjects with neuropathy. Since the relation between temperature and ulceration risks is well established in the literature, a methodology that obtains quantitative temperature differences in the plantar area of the diabetic foot to detect ulceration risks is proposed in this work. Such methodology is based on the angiosome concept and image processing.

Analysis of age-period-cohort effects on overall mortality in Andalusia (Southern Spain).

OBJECTIVES: To evaluate the age-period-cohort effects on overall mortality in Andalusia (Spain). STUDY DESIGN: An ecological study was implemented with a Lexis diagram triangle comprising each annual age group, year of death and year of birth as the unit of analysis. METHODS: In all 1,384,899 deaths from all causes were analysed for individuals between the ages of 1 and 84 years who died in Andalusia in the period 1981-2008. A non-linear regression model was estimated for each gender group and geographical area. The effects of age, year of death and birth cohort were parameterized using B-spline smoothing functions. RESULTS: There is a downward trend in mortality by age to around the age of 15 years, from which point the trend turned upwards. For cohorts born between 1945 and 1965, the rate climbed steadily. From 1965, the rate turned downwards. Death rates increased between 1995 and 2000, only to turn down again until the end of the period. Broadly, these results were similar for both men and women, in all the provinces of Andalusia and for Andalusia as a whole. CONCLUSIONS: This study points to an age-period-cohort effect on deaths from all causes in all the geographic areas studied.

Análisis de señales electroencefalográficas para la clasificación de habla imaginada / Electroencephalographic Signals Analysis for Imagined Speech Classification

El presente trabajo tiene como objetivo interpretar las señales de EEG registradas durante la pronunciación imaginada de palabras de un vocabulario reducido, sin emitir sonidos ni articular movimientos (habla imaginada o no pronunciada) con la intención de controlar un dispositivo. Específicamente, el vocabulario permitiría controlar el cursor de la computadora, y consta de las palabras del lenguaje español: "arriba", "abajo", "izquierda", "derecha", y "seleccionar". Para ello, se registraron las señales de EEG de 27 individuos utilizando un protocolo básico para saber a priori en qué segmentos de la señal la persona imagina la pronunciación de la palabra indicada. Posteriormente, se utiliza la transformada wavelet discreta (DWT) para extraer características de los segmentos que son usados para calcular la energía relativa wavelet (RWE) en cada una de los niveles en los que la señal es descompuesta, y se selecciona un subconjunto de valores RWE provenientes de los rangos de frecuencia menores a 32 Hz. Enseguida, éstas se concatenan en dos configuraciones distintas: 14 canales (completa) y 4 canales (los más cercanos a las áreas de Broca y Wernicke). Para ambas configuraciones se entrenan tres clasificadores: Naive Bayes (NB), Random Forest (RF) y Máquina de vectores de soporte (SVM). Los mejores porcentajes de exactitud se obtuvieron con RF cuyos promedios fueron 60.11% y 47.93% usando las configuraciones de 14 canales y 4 canales, respectivamente. A pesar de que los resultados aún son preliminares, éstos están arriba del 20%, es decir, arriba del azar para cinco clases. Con lo que se puede conjeturar que las señales de EEG podrían contener información que hace posible la clasificación de las pronunciaciones imaginadas de las palabras del vocabulario reducido.

This work aims to interpret the EEG signals associated with actions to imagine the pronunciation of words that belong to a reduced vocabulary without moving the articulatory muscles and without uttering any audible sound (imagined or unspoken speech). Specifically, the vocabulary reflects movements to control the cursor on the computer, and consists of the Spanish language words: "arriba", "abajo", "izquierda", "derecha", and "seleccionar". To do this, we have recorded EEG signals from 27 subjects using a basic protocol to know a priori in what segments of the signal a subject imagines the pronunciation of the indicated word. Subsequently, discrete wavelet transform (DWT) is used to extract features from the segments. These are used to compute relative wavelet energy (RWE) in each of the levels in that EEG signal is decomposed and, it is selected a RWE values subset with the frequencies smaller than 32 Hz. Then, these are concatenated in two different configurations: 14 channels (full) and 4 channels (the channels nearest to the brain areas of Wernicke and Broca). The following three classifiers were trained using both configurations: Naive Bayes (NB), Random Forest (RF) and support vector machines (SVM). The best accuracies were obtained by RF whose averages were 60.11% and 47.93% using both configurations, respectively. Even though, the results are still preliminary, these are above 20%, this means they are more accurate than chance for five classes. Based on them, we can conjecture that the EEG signals could contain information needed for the classification of the imagined pronunciations of the words belonging to a reduced vocabulary.

Community cluster of meningococcal disease by Neisseria meningitidis serogroup C in Andalusia, Spain, March to May 2011.

Between March and May of 2011, a cluster of three fatal cases of meningococcal sepsis occurred in Andalusia, Spain, in a municipality with a population of around 20,000 inhabitants. The cases were in their mid-teens to early thirties and were notified to the epidemiological surveillance system of Andalusia (Sistema de Vigilancia Epidemiológica de Andalucía, SVEA) during a 68-day period from March through May 2011. All three were infected with the same strain of Neisseria meningitidis serogroup C genosubtype VR1:5-1;VR2:10-8. None of the cases had been previously vaccinated against N. meningitidis serogroup C. Antibiotic post-exposure chemoprophylaxis was administered to close contacts of every diagnosed case. Once the cluster was confirmed, the local population was informed through the media about the control measures taken by the health authorities. The vaccination history against N. meningitidis serogroup C of the population under 25 years-old in the municipality was checked. Vaccination was offered to unimmunised individuals younger than 25 years of age and an additional dose of vaccine was offered to those who had been vaccinated between 2000 and 2006 with a vaccination schedule of three doses before the first year of age. No further cases occurred since the beginning of these actions.

Spotlight on measles 2010: An ongoing outbreak of measles in an unvaccinated population in Granada,Spain, October to November 2010: an ongoing outbreak of measles in an unvaccinated population in Granada, Spain, October to November 2010.

In September and October 2010, 13 primary measles cases were identified among unvaccinated persons aged between 9 and 32 years (median: 16.5) in 11 districts in Germany. All cases had attended meetings in Taizé, France. This outbreak illustrates the risk of long distance spread of infectious diseases associated with international mass gatherings, and underlines the importance of closing immunisation gaps against measles by vaccinating non-immune adolescents and young adults.

Dynamics and robustness of familiarity memory.

When presented with an item or a face, one might have a sense of recognition without the ability to recall when or where the stimulus has been encountered before. This sense of recognition is called familiarity memory. Following previous computational studies of familiarity memory, we investigate the dynamical properties of familiarity discrimination and contrast two different familiarity discriminators: one based on the energy of the neural network and the other based on the time derivative of the energy. We show how the familiarity signal decays rapidly after stimulus presentation. For both discriminators, we calculate the capacity using mean field analysis. Compared to recall capacity (the classical associative memory in Hopfield nets), both the energy and the slope discriminators have bigger capacity, yet the energy-based discriminator has a higher capacity than one based on its time derivative. Finally, both discriminators are found to have a different noise dependence.

Behaviour of the pandemic H1N1 influenza virus in Andalusia, Spain, at the onset of the 2009-10 season.

In Andalusia, Spain, the pandemic influenza A(H1N1)v virus has spread throughout the community, being the dominant influenza strain in the season so far. The current objective of the Andalusia Health Service is focussed on the mitigation of the health and social impact by appropriate care of the patients at home or in health centres. The 2009-10 seasonal influenza epidemic started early compared with to previous seasons. This article analyses the influenza A(H1N1)v situation in Andalusia until the week 39/2009.

Instabilities in attractor networks with fast synaptic fluctuations and partial updating of the neurons activity.

We present and study a probabilistic neural automaton in which the fraction of simultaneously-updated neurons is a parameter, rhoin(0,1). For small rho, there is relaxation towards one of the attractors and a great sensibility to external stimuli and, for rho > or = rho(c), itinerancy among attractors. Tuning rho in this regime, oscillations may abruptly change from regular to chaotic and vice versa, which allows one to control the efficiency of the searching process. We argue on the similarity of the model behavior with recent observations, and on the possible role of chaos in neurobiology.

Competition between synaptic depression and facilitation in attractor neural networks.

We study the effect of competition between short-term synaptic depression and facilitation on the dynamic properties of attractor neural networks, using Monte Carlo simulation and a mean-field analysis. Depending on the balance of depression, facilitation, and the underlying noise, the network displays different behaviors, including associative memory and switching of activity between different attractors. We conclude that synaptic facilitation enhances the attractor instability in a way that (1) intensifies the system adaptability to external stimuli, which is in agreement with experiments, and (2) favors the retrieval of information with less error during short time intervals.

Hysteresis and bistability in a realistic cell model for calcium oscillations and action potential firing.

Many cells reveal oscillatory behavior. Some cells reveal action-potential firing resulting from Hodgkin-Huxley (HH) type dynamics of ion channels in the cell membrane. Another type of oscillation relates to periodic inositol triphospate (IP3)-mediated calcium transients in the cytosol. In this study we present a bifurcation analysis of a cell with an excitable membrane and an IP3-mediated intracellular calcium oscillator. With IP3 concentration as a control parameter the model reveals a complex, rich spectrum of both stable and unstable solutions with hysteresis corresponding to experimental data. Our results reveal the emergence of complex behavior due to interactions between subcomponents with a relatively simple dynamical behavior.

Control of neural chaos by synaptic noise.

We study neural automata - or neurobiologically inspired cellular automata - which exhibits chaotic itinerancy among the different stored patterns or memories. This is a consequence of activity-dependent synaptic fluctuations, which continuously destabilize the attractor and induce irregular hopping to other possible attractors. The nature of these irregularities depends on the dynamic details, namely, on the intensity of the synaptic noise and the number of sites of the network, which are synchronously updated at each time step. Varying these factors, different regimes occur, ranging from regular to chaotic dynamics. As a result, and in absence of external agents, the chaotic behavior may turn regular after tuning the noise intensity. It is argued that a similar mechanism might be on the basis of self-controlling chaos in natural systems.