5 research outputs found

    Design proposal of an industrial biodigester of filter-cake for the generation of electrical energy

    Get PDF
    El presente trabajo está enmarcado en el diseño de una planta de biogás que utiliza cachaza como sustrato. El estudio de los diferentes campos de utilización de biogás y su eficiencia en la generación de electricidad mediante grupos electrógenos. Para el diseño de la planta se han propuesto seis biodigestores industriales y seis grupos electrógenos para una capacidad de generación de 24 MW para la venta de energía eléctrica generando un ingreso 1 756 093,11 /an~o.Fuerondeterminadosapartirdelametodologıˊapresentadalascaracterıˊsticasconstructivasdelbiodigestor,elvolumendebiogaˊsgenerado,asıˊcomolacantidadnecesariaparasatisfacerlademandadebiogaˊs.Elcomportamientoanivelmundialdelosprincipalespaıˊsesproductoresdebiogaˊsofrececostosdeconstruccioˊndelasplantaspormetrocuˊbicodebiogaˊsgeneradoenelordende200/año. Fueron determinados a partir de la metodología presentada las características constructivas del biodigestor, el volumen de biogás generado, así como la cantidad necesaria para satisfacer la demanda de biogás. El comportamiento a nivel mundial de los principales países productores de biogás ofrece costos de construcción de las plantas por metro cúbico de biogás generado en el orden de 200 a 500 .Sedeterminaelpotencialdegeneracioˊndecachazaporlafaˊbricadeazuˊcarqueesde144t/dconunacapacidaddegeneracioˊndebiogaˊsde13038Nm3/d.Laplantapropuestatieneunacapacidaddegeneracioˊnde24MWh/ddeenergıˊaeleˊctricasuministradaalared.Laevaluacioˊneconoˊmicadelaplantamuestraquelainversioˊnde4237000,00. Se determina el potencial de generación de cachaza por la fábrica de azúcar que es de 144 t/d con una capacidad de generación de biogás de 13 038 Nm3 /d. La planta propuesta tiene una capacidad de generación de 24 MWh/d de energía eléctrica suministrada a la red. La evaluación económica de la planta muestra que la inversión de 4 237 000,00 tiene una Tasa Interna de Retorno (TIR) de un 8% y un Periodo de Recuperación de la Inversión (PRI) de 6 años.The present work is framed in the design of a biogas plant that uses filter-cake as a substrate. The study of the different fields of use of biogas and its efficiency in the generation of electricity through generator sets. For the design of the plant, six industrial biodigesters and six generator sets have been proposed for a generation capacity of 24 MW for the sale of electrical energy generating an income of 1,756,093.111,756,093.11year. The constructive characteristics of the biodigester, the volume of biogas generated, as well as the amount needed to meet the demand for biogas were determined from the methodology presented. The worldwide performance of the main biogas producing countries offers plant construction costs per cubic meter of biogas generated in the order of 200to200 to 500. The potential for the generation of filter-cake by the sugar factory is determined to be 144 t/d with a biogas generation capacity of 13 038 Nm3/d. The proposed plant has a generating capacity of 24 MWh/d of electricity supplied to the grid. The economic evaluation of the plant shows that the investment of $4,237,000.00 has an Internal Rate of Return (IRR) of 8% and an Investment Recovery Period (PRI) of 6 years.Campus Lima Su

    EDUCACIÓN AMBIENTAL Y SOCIEDAD. SABERES LOCALES PARA EL DESARROLLO Y LA SUSTENTABILIDAD

    Get PDF
    Este texto contribuye al análisis científico de varias áreas del conocimiento como la filosofía social, la patología, la educación para el cuidado del medio ambiente y la sustentabilidad que inciden en diversas unidades de aprendizaje de la Licenciatura en Educación para la Salud y de la Maestría en Sociología de la SaludLas comunidades indígenas de la sierra norte de Oaxaca México, habitan un territorio extenso de biodiversidad. Sin que sea una área protegida y sustentable, la propia naturaleza de la región ofrece a sus visitantes la riqueza de la vegetación caracterizada por sus especies endémicas que componen un paisaje de suma belleza

    Mortality from gastrointestinal congenital anomalies at 264 hospitals in 74 low-income, middle-income, and high-income countries: a multicentre, international, prospective cohort study

    Get PDF
    Summary Background Congenital anomalies are the fifth leading cause of mortality in children younger than 5 years globally. Many gastrointestinal congenital anomalies are fatal without timely access to neonatal surgical care, but few studies have been done on these conditions in low-income and middle-income countries (LMICs). We compared outcomes of the seven most common gastrointestinal congenital anomalies in low-income, middle-income, and high-income countries globally, and identified factors associated with mortality. Methods We did a multicentre, international prospective cohort study of patients younger than 16 years, presenting to hospital for the first time with oesophageal atresia, congenital diaphragmatic hernia, intestinal atresia, gastroschisis, exomphalos, anorectal malformation, and Hirschsprung’s disease. Recruitment was of consecutive patients for a minimum of 1 month between October, 2018, and April, 2019. We collected data on patient demographics, clinical status, interventions, and outcomes using the REDCap platform. Patients were followed up for 30 days after primary intervention, or 30 days after admission if they did not receive an intervention. The primary outcome was all-cause, in-hospital mortality for all conditions combined and each condition individually, stratified by country income status. We did a complete case analysis. Findings We included 3849 patients with 3975 study conditions (560 with oesophageal atresia, 448 with congenital diaphragmatic hernia, 681 with intestinal atresia, 453 with gastroschisis, 325 with exomphalos, 991 with anorectal malformation, and 517 with Hirschsprung’s disease) from 264 hospitals (89 in high-income countries, 166 in middleincome countries, and nine in low-income countries) in 74 countries. Of the 3849 patients, 2231 (58·0%) were male. Median gestational age at birth was 38 weeks (IQR 36–39) and median bodyweight at presentation was 2·8 kg (2·3–3·3). Mortality among all patients was 37 (39·8%) of 93 in low-income countries, 583 (20·4%) of 2860 in middle-income countries, and 50 (5·6%) of 896 in high-income countries (p<0·0001 between all country income groups). Gastroschisis had the greatest difference in mortality between country income strata (nine [90·0%] of ten in lowincome countries, 97 [31·9%] of 304 in middle-income countries, and two [1·4%] of 139 in high-income countries; p≤0·0001 between all country income groups). Factors significantly associated with higher mortality for all patients combined included country income status (low-income vs high-income countries, risk ratio 2·78 [95% CI 1·88–4·11], p<0·0001; middle-income vs high-income countries, 2·11 [1·59–2·79], p<0·0001), sepsis at presentation (1·20 [1·04–1·40], p=0·016), higher American Society of Anesthesiologists (ASA) score at primary intervention (ASA 4–5 vs ASA 1–2, 1·82 [1·40–2·35], p<0·0001; ASA 3 vs ASA 1–2, 1·58, [1·30–1·92], p<0·0001]), surgical safety checklist not used (1·39 [1·02–1·90], p=0·035), and ventilation or parenteral nutrition unavailable when needed (ventilation 1·96, [1·41–2·71], p=0·0001; parenteral nutrition 1·35, [1·05–1·74], p=0·018). Administration of parenteral nutrition (0·61, [0·47–0·79], p=0·0002) and use of a peripherally inserted central catheter (0·65 [0·50–0·86], p=0·0024) or percutaneous central line (0·69 [0·48–1·00], p=0·049) were associated with lower mortality. Interpretation Unacceptable differences in mortality exist for gastrointestinal congenital anomalies between lowincome, middle-income, and high-income countries. Improving access to quality neonatal surgical care in LMICs will be vital to achieve Sustainable Development Goal 3.2 of ending preventable deaths in neonates and children younger than 5 years by 2030

    X chromosome inactivation does not necessarily determine the severity of the phenotype in Rett syndrome patients

    Get PDF
    Rett syndrome (RTT) is a severe neurological disorder usually caused by mutations in the MECP2 gene. Since the MECP2 gene is located on the X chromosome, X chromosome inactivation (XCI) could play a role in the wide range of phenotypic variation of RTT patients; however, classical methylation-based protocols to evaluate XCI could not determine whether the preferentially inactivated X chromosome carried the mutant or the wild-type allele. Therefore, we developed an allele-specific methylation-based assay to evaluate methylation at the loci of several recurrent MECP2 mutations. We analyzed the XCI patterns in the blood of 174 RTT patients, but we did not find a clear correlation between XCI and the clinical presentation. We also compared XCI in blood and brain cortex samples of two patients and found differences between XCI patterns in these tissues. However, RTT mainly being a neurological disease complicates the establishment of a correlation between the XCI in blood and the clinical presentation of the patients. Furthermore, we analyzed MECP2 transcript levels and found differences from the expected levels according to XCI. Many factors other than XCI could affect the RTT phenotype, which in combination could influence the clinical presentation of RTT patients to a greater extent than slight variations in the XCI pattern

    Discovering HIV related information by means of association rules and machine learning

    Get PDF
    Acquired immunodeficiency syndrome (AIDS) is still one of the main health problems worldwide. It is therefore essential to keep making progress in improving the prognosis and quality of life of affected patients. One way to advance along this pathway is to uncover connections between other disorders associated with HIV/AIDS-so that they can be anticipated and possibly mitigated. We propose to achieve this by using Association Rules (ARs). They allow us to represent the dependencies between a number of diseases and other specific diseases. However, classical techniques systematically generate every AR meeting some minimal conditions on data frequency, hence generating a vast amount of uninteresting ARs, which need to be filtered out. The lack of manually annotated ARs has favored unsupervised filtering, even though they produce limited results. In this paper, we propose a semi-supervised system, able to identify relevant ARs among HIV-related diseases with a minimal amount of annotated training data. Our system has been able to extract a good number of relationships between HIV-related diseases that have been previously detected in the literature but are scattered and are often little known. Furthermore, a number of plausible new relationships have shown up which deserve further investigation by qualified medical experts
    corecore