3,530 research outputs found

    Aliskiren and the dual complement inhibition concept

    Full text link
    In this issue of Clinical Kidney Journal, Plasse et al. report on the use of high-dose aliskiren as an adjunct therapy in a patient treated with eculizumab for haemolytic uraemic syndrome (HUS). This follows the recent description of the complement factor 3 (C3) activating activity of the enzyme renin and the successful therapeutic use of the direct renin inhibitor aliskiren in three cases of C3 glomerulopathy/dense deposit disease. We discuss the potential clinical and pathophysiological implications of these reports on nephropathies linked to complement, from HUS to C3 glomerulopathy to immunoglobulin A nephropathy as well as the concept of dual complement inhibition for kidney diseaseResearch by the authors was supported by FIS CP14/00133, PI16/ 02057, PI18/01366, PI19/00588, PI19/00815, DTS18/00032, ERAPerMed- JTC2018 (KIDNEY ATTACK AC18/00064 and PERSTIGAN AC18/00071, ISCIII-RETIC REDinREN RD016/0009), Fondos FEDER, FRIAT, Sociedad Española de Nefrología, Comunidad de Madrid B2017/BMD-3686 CIFRA2-CM

    Photodiodes based in La0.7Sr0.3MnO3/single layer MoS2 hybrid vertical heterostructures

    Get PDF
    The fabrication of artificial materials by stacking of individual two-dimensional (2D) materials is amongst one of the most promising research avenues in the field of 2D materials. Moreover, this strategy to fabricate new man-made materials can be further extended by fabricating hybrid stacks between 2D materials and other functional materials with different dimensionality making the potential number of combinations almost infinite. Among all these possible combinations, mixing 2D materials with transition metal oxides can result especially useful because of the large amount of interesting physical phenomena displayed separately by these two material families. We present a hybrid device based on the stacking of a single layer MoS2 onto a lanthanum strontium manganite (La0.7Sr0.3MnO3) thin film, creating an atomically thin device. It shows a rectifying electrical transport with a ratio of 103, and a photovoltaic effect with Voc up to 0.4 V. The photodiode behaviour arises as a consequence of the different doping character of these two materials. This result paves the way towards combining the efforts of these two large materials science communities.Comment: 1 table, 4 figures (+9 supp. info. figures

    Temporal variability analysis reveals biases in electronic health records due to hospital process reengineering interventions over seven years

    Full text link
    [EN] Objective To evaluate the effects of Process-Reengineering interventions on the Electronic Health Records (EHR) of a hospital over 7 years. Materials and methods Temporal Variability Assessment (TVA) based on probabilistic data quality assessment was applied to the historic monthly-batched admission data of Hospital La Fe Valencia, Spain from 2010 to 2016. Routine healthcare data with a complete EHR was expanded by processed variables such as the Charlson Comorbidity Index. Results Four Process-Reengineering interventions were detected by quantifiable effects on the EHR: (1) the hospital relocation in 2011 involved progressive reduction of admissions during the next four months, (2) the hospital services re-configuration incremented the number of inter-services transfers, (3) the care-services re-distribution led to transfers between facilities (4) the assignment to the hospital of a new area with 80,000 patients in 2015 inspired the discharge to home for follow up and the update of the pre-surgery planned admissions protocol that produced a significant decrease of the patient length of stay. Discussion TVA provides an indicator of the effect of process re-engineering interventions on healthcare practice. Evaluating the effect of facilities¿ relocation and increment of citizens (findings 1, 3¿4), the impact of strategies (findings 2¿3), and gradual changes in protocols (finding 4) may help on the hospital management by optimizing interventions based on their effect on EHRs or on data reuse. Conclusions The effects on hospitals EHR due to process re-engineering interventions can be evaluated using the TVA methodology. Being aware of conditioned variations in EHR is of the utmost importance for the reliable reuse of routine hospitalization data.F.J.P.B, C.S., J.M.G.G. and J.A.C. were funded Universitat Politecnica de Valencia, project "ANALISIS DE LA CALIDAD Y VARIABILIDAD DE DATOS MEDICOS". www.upv.es. J.M.G.G.is also partially supported by: Ministerio de Economia y Competitividad of Spain through MTS4up project (National Plan for Scientific and Technical Research and Innovation 2013-2016, No. DPI2016-80054-R); and European Commission projects H2020-SC1-2016-CNECT Project (No. 727560) and H2020-SC1-BHC-2018-2020 (No. 825750). The funders did not play any role in the study design, data collection and analysis, decision to publish, nor preparation of the manuscript.Perez-Benito, FJ.; Sáez Silvestre, C.; Conejero, JA.; Tortajada, S.; Valdivieso, B.; Garcia-Gomez, JM. (2019). Temporal variability analysis reveals biases in electronic health records due to hospital process reengineering interventions over seven years. PLoS ONE. 14(8):1-19. https://doi.org/10.1371/journal.pone.0220369S119148Aguilar-Savén, R. S. (2004). Business process modelling: Review and framework. International Journal of Production Economics, 90(2), 129-149. doi:10.1016/s0925-5273(03)00102-6Poulymenopoulou, M. (2003). Journal of Medical Systems, 27(4), 325-335. doi:10.1023/a:1023701219563Dadam P, Reichert M, Kuhn K. Clinical Workflows -The Killer Application for Process-oriented Information Systems? Proceedings of the 4th International Conference on Business Information Systems. London: Springer London; 2000. pp. 36–59. doi: https://doi.org/10.1007/978-1-4471-0761-3Lenz, R., & Reichert, M. (2007). IT support for healthcare processes – premises, challenges, perspectives. Data & Knowledge Engineering, 61(1), 39-58. doi:10.1016/j.datak.2006.04.007Rebuge, Á., & Ferreira, D. R. (2012). Business process analysis in healthcare environments: A methodology based on process mining. Information Systems, 37(2), 99-116. doi:10.1016/j.is.2011.01.003Amour EAEH, Ghannouchi SA. Applying Data Mining Techniques to Discover KPIs Relationships in Business Process Context. 2017 18th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT). IEEE; 2017. pp. 230–237. doi: https://doi.org/10.1109/PDCAT.2017.00045Chou, Y.-C., Chen, B.-Y., Tang, Y.-Y., Qiu, Z.-J., Wu, M.-F., Wang, S.-C., … Chuang, W.-C. (2010). Prescription-Filling Process Reengineering of an Outpatient Pharmacy. Journal of Medical Systems, 36(2), 893-902. doi:10.1007/s10916-010-9553-5Leu, J.-D., & Huang, Y.-T. (2009). An Application of Business Process Method to the Clinical Efficiency of Hospital. Journal of Medical Systems, 35(3), 409-421. doi:10.1007/s10916-009-9376-4Gand K. Investigating on Requirements for Business Model Representations: The Case of Information Technology in Healthcare. 2017 IEEE 19th Conference on Business Informatics (CBI). IEEE; 2017. pp. 471–480. doi: https://doi.org/10.1109/CBI.2017.36Ferreira, G. S. A., Silva, U. R., Costa, A. L., & Pádua, S. I. D. de D. (2018). The promotion of BPM and lean in the health sector: main results. Business Process Management Journal, 24(2), 400-424. doi:10.1108/bpmj-06-2016-0115Abdulrahman Jabour RM. Cancer Reporting: Timeliness Analysis and Process. 2016; Available: https://search.proquest.com/openview/4ecf737c5ef6d2d503e948df8031fe54/1?pq-origsite=gscholar&cbl=18750&diss=yHewitt M, Simone J V. Enhancing Data Systems to Improve the Quality of Cancer Care [Internet]. National Academy Press; 2000. Available: http://www.nap.edu/catalog/9970.htmlWeiskopf, N. G., & Weng, C. (2013). Methods and dimensions of electronic health record data quality assessment: enabling reuse for clinical research. Journal of the American Medical Informatics Association, 20(1), 144-151. doi:10.1136/amiajnl-2011-000681Saez C, Robles M, Garcia-Gomez JM. Comparative study of probability distribution distances to define a metric for the stability of multi-source biomedical research data. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. IEEE; 2013. pp. 3226–3229. doi: https://doi.org/10.1109/EMBC.2013.6610228Sáez, C., Rodrigues, P. P., Gama, J., Robles, M., & García-Gómez, J. M. (2014). Probabilistic change detection and visualization methods for the assessment of temporal stability in biomedical data quality. Data Mining and Knowledge Discovery, 29(4), 950-975. doi:10.1007/s10618-014-0378-6Sáez, C., Zurriaga, O., Pérez-Panadés, J., Melchor, I., Robles, M., & García-Gómez, J. M. (2016). Applying probabilistic temporal and multisite data quality control methods to a public health mortality registry in Spain: a systematic approach to quality control of repositories. Journal of the American Medical Informatics Association, 23(6), 1085-1095. doi:10.1093/jamia/ocw010International Ethical Guidelines for Epidemiological Studies [Internet]. Geneva: Council for International Organizations of Medical Sciences (CIOMS) in collaboration with the World Health Organization; 2009. Available: https://cioms.ch/wp-content/uploads/2017/01/International_Ethical_Guidelines_LR.pdfResearch Ethics Committee of the Universitari i Politècnic La Fe Hospital [Internet]. Available: https://www.iislafe.es/en/research/ethics-committees/Charlson, M. E., Pompei, P., Ales, K. L., & MacKenzie, C. R. (1987). A new method of classifying prognostic comorbidity in longitudinal studies: Development and validation. Journal of Chronic Diseases, 40(5), 373-383. doi:10.1016/0021-9681(87)90171-8Schneeweiss, S., Wang, P. S., Avorn, J., & Glynn, R. J. (2003). Improved Comorbidity Adjustment for Predicting Mortality in Medicare Populations. Health Services Research, 38(4), 1103-1120. doi:10.1111/1475-6773.00165Quan, H., Sundararajan, V., Halfon, P., Fong, A., Burnand, B., Luthi, J.-C., … Ghali, W. A. (2005). Coding Algorithms for Defining Comorbidities in ICD-9-CM and ICD-10 Administrative Data. Medical Care, 43(11), 1130-1139. doi:10.1097/01.mlr.0000182534.19832.83Sáez Silvestre C. Probabilistic methods for multi-source and temporal biomedical data quality assessment [Internet]. Thesis. Universitat Politècnica de València. 2016. doi: https://doi.org/10.4995/Thesis/10251/62188Amari S, Nagaoka H. Methods of Information Geometry [Internet]. Amer. Math. Soc. and Oxford Univ. Press. American Mathematical Society; 2000. Available: https://books.google.es/books?hl=es&lr=&id=vc2FWSo7wLUC&oi=fnd&pg=PR7&dq=Methods+of+Information+geometry&ots=4HmyCCY4PX&sig=2-dpCuwMQvEC1iREjxdfIX0yEls#v=onepage&q=MethodsofInformationgeometry&f=falseCsiszár, I., & Shields, P. C. (2004). Information Theory and Statistics: A Tutorial. Foundations and Trends™ in Communications and Information Theory, 1(4), 417-528. doi:10.1561/0100000004Lin, J. (1991). Divergence measures based on the Shannon entropy. IEEE Transactions on Information Theory, 37(1), 145-151. doi:10.1109/18.61115M.Cover T. Elements Of Information Theory Notes [Internet]. 2006. Available: http://books.google.fr/books?id=VWq5GG6ycxMC&printsec=frontcover&dq=intitle:Elements+of+Information+Theory&hl=&cd=1&source=gbs_api%5Cnpapers2://publication/uuid/BAF426F8-5A4F-44A4-8333-FA8187160D9BBrandes, U., & Pich, C. (s. f.). Eigensolver Methods for Progressive Multidimensional Scaling of Large Data. Lecture Notes in Computer Science, 42-53. doi:10.1007/978-3-540-70904-6_6Liaw, S. T., Rahimi, A., Ray, P., Taggart, J., Dennis, S., de Lusignan, S., … Talaei-Khoei, A. (2013). Towards an ontology for data quality in integrated chronic disease management: A realist review of the literature. International Journal of Medical Informatics, 82(1), 10-24. doi:10.1016/j.ijmedinf.2012.10.001Arts, D. G. T. (2002). Defining and Improving Data Quality in Medical Registries: A Literature Review, Case Study, and Generic Framework. Journal of the American Medical Informatics Association, 9(6), 600-611. doi:10.1197/jamia.m1087Bray, F., & Parkin, D. M. (2009). Evaluation of data quality in the cancer registry: Principles and methods. Part I: Comparability, validity and timeliness. European Journal of Cancer, 45(5), 747-755. doi:10.1016/j.ejca.2008.11.032Parkin, D. M., & Bray, F. (2009). Evaluation of data quality in the cancer registry: Principles and methods Part II. Completeness. European Journal of Cancer, 45(5), 756-764. doi:10.1016/j.ejca.2008.11.033Fernandez-Llatas, C., Ibanez-Sanchez, G., Celda, A., Mandingorra, J., Aparici-Tortajada, L., Martinez-Millana, A., … Traver, V. (2019). Analyzing Medical Emergency Processes with Process Mining: The Stroke Case. Lecture Notes in Business Information Processing, 214-225. doi:10.1007/978-3-030-11641-5_17Fernandez-Llatas, C., Lizondo, A., Monton, E., Benedi, J.-M., & Traver, V. (2015). Process Mining Methodology for Health Process Tracking Using Real-Time Indoor Location Systems. Sensors, 15(12), 29821-29840. doi:10.3390/s151229769Van der Aalst, W., Weijters, T., & Maruster, L. (2004). Workflow mining: discovering process models from event logs. IEEE Transactions on Knowledge and Data Engineering, 16(9), 1128-1142. doi:10.1109/tkde.2004.47Weijters AJMM, Van Der Aalst WMP, Alves De Medeiros AK. Process Mining with the HeuristicsMiner Algorithm [Internet]. Available: https://pdfs.semanticscholar.org/1cc3/d62e27365b8d7ed6ce93b41c193d0559d086.pdfShim, S. J., & Kumar, A. (2010). Simulation for emergency care process reengineering in hospitals. Business Process Management Journal, 16(5), 795-805. doi:10.1108/14637151011076476Svolba, G., & Bauer, P. (1999). Statistical Quality Control in Clinical Trials. Controlled Clinical Trials, 20(6), 519-530. doi:10.1016/s0197-2456(99)00029-xKahn, M. G., Raebel, M. A., Glanz, J. M., Riedlinger, K., & Steiner, J. F. (2012). A Pragmatic Framework for Single-site and Multisite Data Quality Assessment in Electronic Health Record-based Clinical Research. Medical Care, 50, S21-S29. doi:10.1097/mlr.0b013e318257dd67Batini, C., Cappiello, C., Francalanci, C., & Maurino, A. (2009). Methodologies for data quality assessment and improvement. ACM Computing Surveys, 41(3), 1-52. doi:10.1145/1541880.1541883Heinrich, B., Klier, M., & Kaiser, M. (2009). A Procedure to Develop Metrics for Currency and its Application in CRM. Journal of Data and Information Quality, 1(1), 1-28. doi:10.1145/1515693.1515697Sirgo, G., Esteban, F., Gómez, J., Moreno, G., Rodríguez, A., Blanch, L., … Bodí, M. (2018). Validation of the ICU-DaMa tool for automatically extracting variables for minimum dataset and quality indicators: The importance of data quality assessment. International Journal of Medical Informatics, 112, 166-172. doi:10.1016/j.ijmedinf.2018.02.007Hinton, G. E., & Salakhutdinov, R. R. (2006). Reducing the Dimensionality of Data with Neural Networks. Science, 313(5786), 504-507. doi:10.1126/science.1127647Kohn LT, Corrigan JM. To err is human: building a safer health system. A report of the Committee on Quality of Health Care in America. 2000. p. 287. National Academies Press

    MYH9-related disease : it does exist, may be more frequent than you think and requires specific therapy

    Get PDF
    Altres ajuts: Sources of support: FIS/Fondos FEDER (REDinREN RD016/0009), Sociedad Española de Nefrología, FRIAT, Comunidad de Madrid en Biomedicina B2017/BMD-3686 CIFRA2-CM. Salary support: ISCIII Rio Hortega to M.V.P.-G.In this issue of ckj, Tabibzadeh et al. report one of the largest series of patients with MYH9 mutations and kidney disease. The cardinal manifestation of MYH9-related disease is thrombocytopenia with giant platelets. The population frequency of pathogenic MYH9 mutations may be at least 1 in 20 000. The literature abounds in misdiagnosed cases treated for idiopathic thrombocytopenic purpura with immune suppressants and even splenectomy. Additional manifestations include neurosensorial deafness and proteinuric and hematuric progressive kidney disease (at some point, it was called Alport syndrome with macrothrombocytopenia), leucocyte inclusions, cataracts and liver enzyme abnormalities, resulting in different names for different manifestation combinations (MATINS, May-Hegglin anomaly, Fechtner, Epstein and Sebastian syndromes, and deafness AD 17). The penetrance and severity of kidney disease are very variable, which may obscure the autosomal dominant inheritance. A correct diagnosis will both preclude unnecessary and potentially dangerous therapeutic interventions and allow genetic counselling and adequate treatment. Morphological erythrocyte, granulocyte and platelet abnormalities may allow the future development of high-throughput screening techniques adapted to clinical peripheral blood flow cytometers

    La prospectiva como marco de análisis para el aprovechamiento turístico de los hongos comestibles silvestres (HCS) en el centro de México

    Get PDF
    Los hongos comestibles silvestres (HCS) han sido aprovechados históricamente por las comunidades forestales, pues constituyen un componente fundamental de su cultura alimentaria y un recurso estratégico de subsistencia. Además, representan una oportunidad para la diversificación productiva local a partir del impulso del turismo rural orientado al micoturismo. Por este motivo, se delinea un marco de análisis teórico metodológico desde el enfoque de prospectiva. Como procedimiento metodológico se realizó una revisión de literatura del micoturismo y de los HCS en revistas científicas. Como resultado se identificaron 48 variables que inciden en la conformación del sistema micoturístico y que son una aproximación para generar escenarios futuros del aprovechamiento recreativo de los hongos comestibles silvestres.CONACYT- Universidad Autónoma del Estado de Méxic

    Comparison of knowledge, attitudes and hand hygiene behavioral intention in medical and nursing students.

    Get PDF
    Introduction: Hand hygiene is crucial to prevent cross infection. Healthcare students are in a prime position to learn hand hygiene skills. The aim of this study was to analyze hand hygiene behavioral intentions of healthcare students before and after contact with the patient and to compare the knowledge of and attitude towards hand hygiene between medical and nursing students. Methods: In a descriptive survey research design, convenience selection of a sample of medical students (n=657) and nursing students (n=303) was done from modules taught by the Department of Preventive Medicine and Public Health in both Medicine and Nursing undergraduate degrees in four Spanish universities. The hand hygiene Questionnaire, a validated instrument to evaluate behavior, knowledge, and attitudes, was used. Results: A significantly lower percentage of students reported always or almost always carrying out hand hygiene before contact with the patient or invasive procedures in comparison to the percentage complying after contact with secretions or with the patient. Although hand hygiene knowledge appears acceptable, its importance is not sufficiently valued.Conclusions: There are deficiencies in behavioral intention, knowledge, and attitudes related to hand hygiene in medical and nursing students. Better results are observed among nursing students, especially those who have received specific training

    Phosphate, microbiota and ckd

    Full text link
    Phosphate is a key uremic toxin associated with adverse outcomes. As chronic kidney disease (CKD) progresses, the kidney capacity to excrete excess dietary phosphate decreases, triggering compensatory endocrine responses that drive CKD-mineral and bone disorder (CKD-MBD). Eventu-ally, hyperphosphatemia develops, and low phosphate diet and phosphate binders are prescribed. Recent data have identified a potential role of the gut microbiota in mineral bone disorders. Thus, parathyroid hormone (PTH) only caused bone loss in mice whose microbiota was enriched in the Th17 cell-inducing taxa segmented filamentous bacteria. Furthermore, the microbiota was required for PTH to stimulate bone formation and increase bone mass, and this was dependent on bacterial production of the short-chain fatty acid butyrate. We review current knowledge on the relationship between phosphate, microbiota and CKD-MBD. Topics include microbial bioactive compounds of special interest in CKD, the impact of dietary phosphate and phosphate binders on the gut microbiota, the modulation of CKD-MBD by the microbiota and the potential therapeutic use of microbiota to treat CKD-MBD through the clinical translation of concepts from other fields of science such as the optimization of phosphorus utilization and the use of phosphate-accumulating organisms.This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 860329, FIS/Fondos FEDER (PI18/01366, PI20/00744, PI19/00815, DTS18/00032, ERA-PerMed-JTC2018 (KIDNEY ATTACK AC18/00064 and PERSTIGAN AC18/00071, ISCIII-RETIC REDinREN RD016/0009), Sociedad Española de Nefrología, FRIAT, Comunidad de Madrid en Biomedicina B2017/BMD-3686 CIFRA2-C

    Deciphering the quality of SARS-CoV-2 specific T-cell response associated with disease severity, immune memory and heterologous response

    Get PDF
    SARS-CoV-2 specific T-cell response has been associated with disease severity, immune memory and heterologous response to endemic coronaviruses. However, an integrative approach combining a comprehensive analysis of the quality of SARS-CoV-2 specific T-cell response with antibody levels in these three scenarios is needed. In the present study, we found that, in acute infection, while mild disease was associated with high T-cell polyfunctionality biased to IL-2 production and inversely correlated with anti-S IgG levels, combinations only including IFN-γ with the absence of perforin production predominated in severe disease. Seven months after infection, both non-hospitalised and previously hospitalised patients presented robust anti-S IgG levels and SARS-CoV-2 specific T-cell response. In addition, only previously hospitalised patients showed a T-cell exhaustion profile. Finally, combinations including IL-2 in response to S protein of endemic coronaviruses were the ones associated with SARS-CoV-2 S-specific T-cell response in pre-COVID-19 healthy donors’ samples. These results could have implications for protective immunity against SARS-CoV-2 and recurrent COVID-19 and may help for the design of new prototypes and boosting vaccine strategies

    Forest Health in the Southern Cone of America: State of the Art and Perspectives on Regional Efforts

    Get PDF
    The plantation and natural forests of South America have been highly impacted by native and exotic pests in recent decades. The interaction of emerging invasive pests, climate change, and timber markets will define the region’s forests, with significant but uncertain ecological changes and economic losses expected. The Southern Cone Forest Health Group (SCFHG), a joint ad hoc initiative run by forest health professionals from Argentina, Brazil, Chile, and Uruguay, aims to strengthen relationships between the forestry industry, stakeholders, academia, and government agencies across the region. Here, we highlight regional strengths, weaknesses, threats, and opportunities to address forest health issues in the region. A regional approach with a strong communication network is relevant for future actions. In the current global scenario of invasive species and climate change, the implementation of practices that incorporate the resilience of forest ecosystems and sustainable management needs to be prioritized in forest policy across the region. Understanding that pests and pathogens do not recognize borders, we call on governments and organizations to support joint actions with agreements and adequate resources to enhance our regional capabilities.Estación Experimental Agropecuaria BarilocheFil: Villacide, Jose Maria. Instituto Nacional de Tecnologia Agropecuaria (INTA). Estacion Experimental Agropecuaria Bariloche. Area de Recursos Forestales. Grupo de Ecologia de Poblaciones de Insectos; ArgentinaFil: Villacide, Jose Maria. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; ArgentinaFil: Gomez, Demian F. Texas A&M Forest Service; Estados UnidosFil: Perez, Carlos Alberto. Universidad de la República Paysandú. Facultad de Agronomia; UruguayFil: Corley, Juan Carlos. Instituto Nacional de Tecnologia Agropecuaria (INTA). Estacion Experimental Agropecuaria Bariloche. Area de Recursos Forestales. Grupo de Ecologia de Poblaciones de Insectos; ArgentinaFil: Corley, Juan Carlos. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; ArgentinaFil: Corley, Juan Carlos. Universidad Nacional del Comahue. Centro Regional Universitario Bariloche. Departamento de Ecologia; ArgentinaFil: Ahumada, Rodrigo. Bioforest S.A. División de Silvicultura y Sanidad; ChileFil: Rodrigues Barbosa, Leonardo. Embrapa Florestas. Empresa Brasileira de Pesquisa Agropecuária; BrasilFil: Furtado, Edson Luiz. Universidade Estadual Paulista. Faculdade de Ciências Agronômicas Botucatu. Departamento de Proteção Vegetal; BrasilFil: Gonzalez, Andres. Universidad de la Republica. Facultad de Quimica; UruguayFil: Ramirez, Nazaret. Área Productividad de las Plantaciones. I&D.Montes del Plata; UruguayFil: Balmelli, Gustavo. Instituto Nacional de Investigacion Agropecuaria. Sistema Forestal; UruguayFil: Dias de Souza, Caroline. Instituto de Pesquisas e Estudos Florestais. Programa Cooperativo Sobre Proteção Florestal; BrasilFil: Martinez, Gonzalo. Instituto Nacional de Investigacion Agropecuaria. Sistema Forestal; Urugua
    corecore