Differential protein expression analysis of several assemblages of giardia intestinalis

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Relationships between texture, pH, organic matter and exchange capacity in the top horizon of a soil over serpentlnes

[Abstract] A statistical analysis of texture, pH, organic matter content and CEC in the rop horizon of a soil over serpentine underneath was undertakan. The studied properties showed a considerable variability. Significant correlations were deteeted between organic matter content, day content and CEe. Likewise these three ahead mentioned properties were correlated with exchangeable Ca and Mg. In the exchange complex Mg prevailed over Ca so that the ration Cal Mg was low and was found ro increase as the pH diminished

Spatial variatian of Fe, Mn, Cu and Zn mability

[Abstract] To investigate the spatial behavior of topsoil Fe, Mn, Cu and Zn in a small (1,8 ha) field 53 samples were taken acording to a nested sampling pattern. Metal contents extracted by 0.05 EDTA, both at pH = S and pH = 7 were analyzed and the Fe, Mn, CuandZndegree ofbinding was assessed by a mobility . index, calculated as the difference between the concentrations released at pH = S and at pH = 7. Both the extractable content and the mobility index of these four metals displayed a wide range of variability. As expected, at the pHs range studied, field-averaged solubility was constant for Fe and increased for the other metals following the rank Zn =:: Cu < Mn. Mobility indexdata analyzed bygeostatistical techniques, specificallyvariogram computation, were found to have a spatial structure. Block-kriged contourmaps allowed to identify microregions with significantly increased risk ofMn, Cuand Zn mobilization. Organic matter content, exchangeable cation capacity and silt content appeared to be the main factors responsible for the observed distribution of metals extractability and mobility index within the studied field.

Differential protein expression analysis to study the pathogenicity of the protozoa parasite Trichomonas Gallinae

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Parásitos intestinales en fangos de depuradora y posible riesgo asociado a su reutilización

La reutilización de fangos de salida de depuradora se ha convertido en un valioso recurso dado su contenido en nutrientes. Sin embargo, puede suponer un riesgo para la salud pu´blica si su higienización no es adecuada, por la variedad de potenciales pato´genos que pueden contener. La normativa vigente sobre reutilización de fangos (RD 1310/90 y AAA/1072/2013) únicamente hace referencia a la presencia de E. coli y Salmonella spp. Sin embargo, varios estudios sugieren que el uso tradicional de bacterias indicadoras de contaminacio´n fecal no predice la presencia de otros pato´genos como para´sitos y protozoos1. Giardia duodenalis, Cryptosporidium spp. o Entamoeba spp. son protozoos distribuidos mundialmente, causantes de trastornos gastrointestinales en gran número de hospedadores y transmitidos principalmente por el consumo de agua y alimentos de consumo crudo contaminados

Lichen Sclerosus et Atrophicus with Cutaneous Distribution Simulating Lichen Planus

Lichen sclerosus (LS) et atrophicus is a disease of unknown etiology, although hereditary, endocrine, and autoimmune factors are known to be involved. While the anal and genital regions are predominantly affected, only 2.5% of patients present with extragenital lesions, particularly of the trunk, neck, and upper limbs. The possible relationship between lichen sclerosus et atrophicus and both lichen planus (LP) and localized scleroderma (morphea) has not been clearly established, although in a number of cases, several of these conditions have been found simultaneously. We report the case of a 31-year-old woman with LS lesions affecting the neck, upper back, wrist and dorsum of the feet. The unusual character of this presentation is pointed out, along with its clinical similarity to LP

The Effect of Balance Training on Postural Control in Patients with Parkinson s Disease Using a Virtual Rehabilitation System

[EN] Objectives: Parkinson's disease (PD) is a progressive neurodegenerative disorder characterized by motor clinical alterations among others. Postural problems have serious consequences for patients, not only limiting their daily life but also increasing some risks, like the risk of fall. Inadequate postural control and postural instability is a major problem in PD patients. A Virtual Motor Rehabilitation System (VMR) has been tested in patients with PD in the intervention period. Our pur-pose was to analyze the evolution of the spatial postural control during the intervention period, to see if there are any changes caused precisely by this intervention. Methods: Ten people with PD carried out 15 virtual rehabilitation sessions. We tested a groundbreaking system based on Virtual Motor Rehabilitation in two periods of time (baseline evaluation and final evaluation). In the training sessions, the participants performed a customizable treatment using a low-cost system, the Active Balance Rehabilitation system (ABAR). We stored the pressure performed by the participants every five hundredths of a second, and we analyzed the patients' pressure when they maintained their body on the left, on the right, and in the center in sitting position. Our system was able to measure postural control in every patient in each of the virtual rehabilitation sessions. Results: There are no significant differences in the performance of postural control in any of the positions evaluated throughout the sessions. Moreover, the results show a trend to an improvement in all positions. This improvement is especially remarkable in the left/right positions, which are the most important positions in order to avoid problems such as the risk of fall. With regard to the suitability of the ABAR system, we have found outstanding results in enjoyment, success, clarity, and helpfulness. Conclusions: Although PD is a progressive neurodegenerative disorder, the results demonstrate that patients with PD maintain or even improve their postural control in all positions. We think that the main factor influencing these results is that patients use more of their available cognitive processing to improve their postural control. The ABAR system allows us to make this assumption because the system requires the continuous attention of patients, promoting cognitive processing.This contribution was partially funded by the Gobierno de Aragon, Departamento de Industria e Innovacion, y Fondo Social Europeo "Construyendo Europa desde Aragon" and by the Programa Ibercaja-CAI de Estancias de Investigacion.Albiol-Perez, S.; Gil-Gómez, J.; Muñoz-Tomás, M.; Gil Gómez, H.; Vial Escolano, R.; Lozano Quilis, JA. (2017). 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Movement Disorders, 16(3), 507-510. doi:10.1002/mds.1099Nolano, M., Provitera, V., Estraneo, A., Selim, M. M., Caporaso, G., Stancanelli, A., … Santoro, L. (2008). Sensory deficit in Parkinson’s disease: evidence of a cutaneous denervation. Brain, 131(7), 1903-1911. doi:10.1093/brain/awn102Micieli G, Tosi P, Marcheselli S, Cavallini A. Autonomic dysfunction in Parkinson’s disease. Neurol Sci. 2003; 24 Suppl 1: S32-34Salat-Foix, D., & Suchowersky, O. (2012). The management of gastrointestinal symptoms in Parkinson’s disease. Expert Review of Neurotherapeutics, 12(2), 239-248. doi:10.1586/ern.11.192Nombela, C., Bustillo, P. J., Castell, P. F., Sanchez, L., Medina, V., & Herrero, M. T. (2011). Cognitive Rehabilitation in Parkinson’s Disease: Evidence from Neuroimaging. Frontiers in Neurology, 2. doi:10.3389/fneur.2011.00082Poletti, M., De Rosa, A., & Bonuccelli, U. (2012). Affective symptoms and cognitive functions in Parkinson’s disease. Journal of the Neurological Sciences, 317(1-2), 97-102. doi:10.1016/j.jns.2012.02.022Sotgiu, S., Pugliatti, M., Sotgiu, M. A., Fois, M. L., Arru, G., Sanna, A., & Rosati, G. (2005). Seasonal fluctuation of multiple sclerosis births in Sardinia. Journal of Neurology, 253(1), 38-44. doi:10.1007/s00415-005-0917-6FAHN, S. (2006). Description of Parkinson’s Disease as a Clinical Syndrome. Annals of the New York Academy of Sciences, 991(1), 1-14. doi:10.1111/j.1749-6632.2003.tb07458.xCamara, C., Isasi, P., Warwick, K., Ruiz, V., Aziz, T., Stein, J., & Bakštein, E. (2015). Resting tremor classification and detection in Parkinson’s disease patients. Biomedical Signal Processing and Control, 16, 88-97. doi:10.1016/j.bspc.2014.09.006Deuschl, G., Bain, P., & Brin, M. (2008). Consensus Statement of the Movement Disorder Society on Tremor. Movement Disorders, 13(S3), 2-23. doi:10.1002/mds.870131303Massano, J., & Bhatia, K. P. (2012). Clinical Approach to Parkinson’s Disease: Features, Diagnosis, and Principles of Management. Cold Spring Harbor Perspectives in Medicine, 2(6), a008870-a008870. doi:10.1101/cshperspect.a008870Salarian, A., Russmann, H., Wider, C., Burkhard, P. R., Vingerhoets, F. J. G., & Aminian, K. (2007). Quantification of Tremor and Bradykinesia in Parkinson’s Disease Using a Novel Ambulatory Monitoring System. IEEE Transactions on Biomedical Engineering, 54(2), 313-322. doi:10.1109/tbme.2006.886670Dai, H., Zhang, P., & Lueth, T. (2015). Quantitative Assessment of Parkinsonian Tremor Based on an Inertial Measurement Unit. Sensors, 15(10), 25055-25071. doi:10.3390/s151025055Findley, L. J., Gresty, M. A., & Halmagyi, G. M. (1981). Tremor, the cogwheel phenomenon and clonus in Parkinson’s disease. Journal of Neurology, Neurosurgery & Psychiatry, 44(6), 534-546. doi:10.1136/jnnp.44.6.534Berardelli, A. (2001). Pathophysiology of bradykinesia in Parkinson’s disease. Brain, 124(11), 2131-2146. doi:10.1093/brain/124.11.2131Bronnick, K. (2006). Attentional deficits affect activities of daily living in dementia-associated with Parkinson’s disease. Journal of Neurology, Neurosurgery & Psychiatry, 77(10), 1136-1142. doi:10.1136/jnnp.2006.093146Horak FB. Postural orientation and equilibrium: what do we need to know about neural control of balance to prevent falls? Age Ageing. 2006; 35 Suppl 2: ii7-ii11Movement Disorder Society Task Force on Rating Scales for Parkinson’s Disease. The Unified Parkinson’s Disease Rating Scale (UPDRS): status and recommendations. Mov Disord. 2003; 18(7): 738-750. Available from: http://img.medscape.com/fullsize/701/816/58977_UPDRS.pdfGoetz, C. G., Tilley, B. C., Shaftman, S. R., Stebbins, G. T., Fahn, S., Martinez-Martin, P., … LaPelle, N. (2008). Movement Disorder Society-sponsored revision of the Unified Parkinson’s Disease Rating Scale (MDS-UPDRS): Scale presentation and clinimetric testing results. Movement Disorders, 23(15), 2129-2170. doi:10.1002/mds.22340Dibble, L. E., Hale, T. F., Marcus, R. L., Gerber, J. P., & LaStayo, P. C. (2009). High intensity eccentric resistance training decreases bradykinesia and improves quality of life in persons with Parkinson’s disease: A preliminary study. Parkinsonism & Related Disorders, 15(10), 752-757. doi:10.1016/j.parkreldis.2009.04.009Dibble, L. E., Hale, T. F., Marcus, R. L., Droge, J., Gerber, J. P., & LaStayo, P. C. (2006). High-intensity resistance training amplifies muscle hypertrophy and functional gains in persons with Parkinson’s disease. Movement Disorders, 21(9), 1444-1452. doi:10.1002/mds.20997McIntosh, G. C., Brown, S. H., Rice, R. R., & Thaut, M. H. (1997). Rhythmic auditory-motor facilitation of gait patterns in patients with Parkinson’s disease. Journal of Neurology, Neurosurgery & Psychiatry, 62(1), 22-26. doi:10.1136/jnnp.62.1.22Deane KH, Jones D, Playford ED, Ben-Shlomo Y, Clarke CE. Physiotherapy for patients with Parkinson’s Disease: a comparison of techniques. Cochrane Database Syst Rev. 2001; (3): CD002817Albiol-Pérez S, Lozano-Quilis JA, Gil-Gómez H, Gil-Gómez JA, Llorens R. Virtual rehabilitation system for people with Parkinson disease. 9th Intl Conf. Disability, Virtual Reality & Associated Technologies, Laval, France; 2012Mendes, F. A. dos S., Pompeu, J. E., Lobo, A. M., da Silva, K. G., Oliveira, T. de P., Zomignani, A. P., & Piemonte, M. E. P. (2012). Motor learning, retention and transfer after virtual-reality-based training in Parkinson’s disease – effect of motor and cognitive demands of games: a longitudinal, controlled clinical study. Physiotherapy, 98(3), 217-223. doi:10.1016/j.physio.2012.06.001Saposnik, G., & Levin, M. (2011). Virtual Reality in Stroke Rehabilitation. Stroke, 42(5), 1380-1386. doi:10.1161/strokeaha.110.605451Lozano-Quilis, J.-A., Gil-Gómez, H., Gil-Gómez, J.-A., Albiol-Pérez, S., Palacios-Navarro, G., Fardoun, H. M., & Mashat, A. S. (2014). Virtual Rehabilitation for Multiple Sclerosis Using a Kinect-Based System: Randomized Controlled Trial. JMIR Serious Games, 2(2), e12. doi:10.2196/games.2933Badarny, S., Aharon-Peretz, J., Susel, Z., Habib, G., & Baram, Y. (2014). Virtual Reality Feedback Cues for Improvement of Gait in Patients with Parkinson’s Disease. Tremor and Other Hyperkinetic Movements, 4(0), 225. doi:10.5334/tohm.192Ehgoetz Martens, K. A., Ellard, C. G., & Almeida, Q. J. (2014). Does manipulating the speed of visual flow in virtual reality change distance estimation while walking in Parkinson’s disease? Experimental Brain Research, 233(3), 787-795. doi:10.1007/s00221-014-4154-zAlbiol-Perez, S., Gil-Gomez, J.-A., Llorens, R., Alcaniz, M., & Font, C. C. (2014). The Role of Virtual Motor Rehabilitation: A Quantitative Analysis Between Acute and Chronic Patients With Acquired Brain Injury. IEEE Journal of Biomedical and Health Informatics, 18(1), 391-398. doi:10.1109/jbhi.2013.2272101Forcano-García, M., Muñoz-Tomás, M. T., Manzano-Fernández, P., Solsona-Hernández, S., Mashat, M. A., Gil-Gómez, J. A., & Albiol-Pérez, S. (2015). A Novel Virtual Motor Rehabilitation System for Guillain-Barré Syndrome. Methods of Information in Medicine, 54(02), 127-134. doi:10.3414/me14-02-0002Gil-Gómez, J.-A., Lloréns, R., Alcañiz, M., & Colomer, C. (2011). Effectiveness of a Wii balance board-based system (eBaViR) for balance rehabilitation: a pilot randomized clinical trial in patients with acquired brain injury. Journal of NeuroEngineering and Rehabilitation, 8(1), 30. doi:10.1186/1743-0003-8-30Muñoz Tomás, M. T., Gil Gómez, J. A., Gil Gómez, H., Lozano Quillis, J. A., Albiol-Pérez, S., & Forcano García, M. (2013). Suitability of virtual rehabilitation for elderly: A study of a virtual rehabilitation system using the SEQ. European Geriatric Medicine, 4, S109. doi:10.1016/j.eurger.2013.07.358Pompeu, J. E., Mendes, F. A. dos S., Silva, K. G. da, Lobo, A. M., Oliveira, T. de P., Zomignani, A. P., & Piemonte, M. E. P. (2012). Effect of Nintendo Wii™-based motor and cognitive training on activities of daily living in patients with Parkinson’s disease: A randomised clinical trial. Physiotherapy, 98(3), 196-204. doi:10.1016/j.physio.2012.06.004Pompeu, J. E., Arduini, L. A., Botelho, A. R., Fonseca, M. B. F., Pompeu, S. M. A. A., Torriani-Pasin, C., & Deutsch, J. E. (2014). Feasibility, safety and outcomes of playing Kinect Adventures!™ for people with Parkinson’s disease: a pilot study. Physiotherapy, 100(2), 162-168. doi:10.1016/j.physio.2013.10.003Summa, S., Basteris, A., Betti, E., & Sanguineti, V. (2013). A feasibility study on using kinect™ for the rehabilitation in persons with Parkinson’s disease. Gait & Posture, 37, S15. doi:10.1016/j.gaitpost.2012.12.040Herz, N. B., Mehta, S. H., Sethi, K. D., Jackson, P., Hall, P., & Morgan, J. C. (2013). Nintendo Wii rehabilitation («Wii-hab») provides benefits in Parkinson’s disease. Parkinsonism & Related Disorders, 19(11), 1039-1042. doi:10.1016/j.parkreldis.2013.07.014Holmes, J. D., Jenkins, M. E., Johnson, A. M., Hunt, M. A., & Clark, R. A. (2012). Validity of the Nintendo Wii® balance board for the assessment of standing balance in Parkinson’s disease. Clinical Rehabilitation, 27(4), 361-366. doi:10.1177/0269215512458684Mhatre, P. V., Vilares, I., Stibb, S. M., Albert, M. V., Pickering, L., Marciniak, C. M., … Toledo, S. (2013). Wii Fit Balance Board Playing Improves Balance and Gait in Parkinson Disease. PM&R, 5(9), 769-777. doi:10.1016/j.pmrj.2013.05.019Plotnik, M., Roggen, D., Giladi, N., Hausdorff, J. M., Tröster, G., & Bächlin, M. (2010). A Wearable System to Assist Walking of Parkinson´s Disease Patients. Methods of Information in Medicine, 49(01), 88-95. doi:10.3414/me09-02-0003Rigas, G., Tzallas, A. T., Tsipouras, M. G., Bougia, P., Tripoliti, E. E., Baga, D., … Konitsiotis, S. (2012). Assessment of Tremor Activity in the Parkinson’s Disease Using a Set of Wearable Sensors. IEEE Transactions on Information Technology in Biomedicine, 16(3), 478-487. doi:10.1109/titb.2011.2182616Duval, C. (2006). Rest and postural tremors in patients with Parkinson’s disease. Brain Research Bulletin, 70(1), 44-48. doi:10.1016/j.brainresbull.2005.11.010The World Medical Association Ethics Unit. Declaration of Helsinki. Available from: http://www.wma.net/en/30publications/10policies/b3/Folstein, M. F., Folstein, S. E., & McHugh, P. R. (1975). «Mini-mental state». Journal of Psychiatric Research, 12(3), 189-198. doi:10.1016/0022-3956(75)90026-6Collin, C., Wade, D. T., Davies, S., & Horne, V. (1988). The Barthel ADL Index: A reliability study. International Disability Studies, 10(2), 61-63. doi:10.3109/09638288809164103Lawton, M. P. (1975). The Philadelphia Geriatric Center Morale Scale: A Revision. 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EVALUATION OF THE COST-EFFECTIVENESS OF GRID-CONNECTED PHOTOVOLTAIC SOLAR ENERGY IN WINERIES

The objective of this study was to analyze the cost-effectiveness of photovoltaic (PV) solar energy in wineries. The factors analysed were solar radiation, cost of PV installation, prices in the public electricity grid, size of the winery, power of installed panels, influence of the decreased consumption during weekends, and seasonality in the consumption. The study has been based on the European TESLA project, in which 39 energy audits were carried out in wineries in four European countries. A winery of 30,000 hL/year was characterized as a representative winery. The results showed that seasonality was key in the profitability of the system for self-consumption, related to the optimum power to be installed of PV. It was recommended to install, as an optimal PV power, the stable electrical power that is demanded in the daytime period. Optimizing the installed power of PV panels in the representative winery, the percentage of electrical energy consumption covered by photovoltaic energy varied between 16% and 22%. The percentage of the cost of electric energy covered varied between 18% and 24%, with payback values between 18 years (3.1 peak sun hours of solar radiation -PSH) and 10 years (5.6 peak sun hours of solar radiation - PSH). All the factors involved were analyzed