Optimización de recursos y mejoras en el área de almacén de repuestos y suministros con el uso de las herramientas Lean Manufacturing en la empresa Ferrosalt S.A.

El objetivo de este trabajo se enfoca en desarrollar una propuesta de mejora en el área logística haciendo uso de la metodología lean Manufacturing y sus técnicas con el fin de identificar y eliminar las actividades que no agregan valor en los procesos logísticos pero que si afecten en los costos operativos. La presente investigación se centra en el área de almacén, donde se planteó la problemática referente a quiebres de stock y ausencia de orden constante en el proceso logístico. Para lo cual se hizo uso de herramientas como diagrama de proceso, Ishikawa y Pareto, de esta manera tener un diagnóstico de la situación de la empresa. La propuesta se basa en la metodología Lean Manufacturing y a su vez se centra en el uso de las técnicas mencionadas anteriormente que son: KANBAN y 5s para lograr tener un mejor orden y planificar de mejor manera las reposiciones de stock adecuadamente. Implementando las técnicas mencionadas se logró reducir los incidentes (quiebres de stock) en un 5% y optimizar los costos operativos en un 5% en el área logística. Se pudo concluir que la metodología implementada logró uno los objetivos planteados en la investigación ya que se puede evidenciar en los porcentajes de dichas mejoras.The objective of this work is to develop a proposal for improvement in the logistics area using the lean Manufacturing methodology and its techniques in order to identify and eliminate activities that do not add value in logistics processes but if affect operating costs. This research focuses on the warehouse area, where the problem related to stock breaks and lack of constant order in the logistics process was raised. For which it made use of tools such as process diagram, Ishikawa and Pareto, in this way have a diagnosis of the situation of the company. The proposal is based on the Lean Manufacturing methodology and in turn, focuses on the use of the techniques mentioned above that are KANBAN and 5s to achieve a better order and better plan stock replenishments properly. Implementing the aforementioned techniques, it was possible to reduce incidents (stock breaks) by 5% and optimize operating costs by 5% in the logistics area. It could be concluded that the methodology implemented achieved one of the objectives set out in the research since it can be evidenced in the percentages of these improvements.Trabajo de investigaciónCampus Lima Centr

Seguimiento al programa de obra utilizando BIM 4D y cámaras Web

Durante la planeación y control de un proyecto de construcción, el programa de obra es un elemento clave en la administración del proyecto. Las representaciones visuales como los diagramas de Gantt o CPM son de utilidad en las reuniones periódicas en las que se le da seguimiento y se toman las decisiones para controlar el proyecto y conseguir su culminación exitosa. La tecnología emergente conocida como Modelación de la Información de Construcción (BIM por sus siglas en inglés), es la representación digital de las características físicas y funcionales de una construcción, y como tal sirve como una fuente de conocimiento compartido acerca de un proyecto de construcción, creando una base confiable para la toma de decisiones a lo largo del ciclo de vida del proyecto. Esta tecnología permite una nueva forma de visualizar el programa de obra utilizando un modelo BIM 4D, que es una simulación visual de la secuencia constructiva del proyecto. En este trabajo se exponen las ventajas y limitaciones, en base a la experiencia documentada, de un método alternativo para realizar el seguimiento del programa de obra utilizando un modelo BIM 4D y la información registrada en imágenes por cámaras web, situadas en diferentes ubicaciones del proyecto para su actualización periódica

What have we learned from a case of convalescent plasma treatment in a two-time kidney transplant recipient COVID-19 patient? A case report from the perspective of viral load evolution and immune response

Coronavirus disease 2019 (COVID-19), an infectious disease caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus, can have a wide range of clinical manifestations, ranging from asymptomatic disease to potentially life-threatening complications. Convalescent plasma therapy has been proposed as an effective alternative for the treatment of severe cases. The aim of this study was to follow a two-time renal transplant patient with severe COVID-19 treated with convalescent plasma over time from an immunologic and virologic perspective. A 42-year-old female patient, who was a two-time kidney transplant recipient, was hospitalized with COVID-19. Due to worsening respiratory symptoms, she was admitted to the intensive care unit, where she received two doses of convalescent plasma. We analyzed the dynamics of viral load in nasopharyngeal swab, saliva, and tracheal aspirate samples, before and after convalescent plasma transfusion. The levels of pro-inflammatory cytokines and antibody titers were also measured in serum samples. A significant decrease in viral load was observed after treatment in the saliva and nasopharyngeal swab samples, and a slight decrease was observed in tracheal aspirate samples. In addition, we found evidence of an increase in antibody titers after transfusion, accompanied by a decrease in the levels of several cytokines responsible for cytokine storm

Use of water-Cherenkov detectors to detect Gamma-Ray-Bursts at the Large Aperture GRB Observatory (LAGO)

The Large Aperture GRB Observatory (LAGO) project aims at the detection of high energy photons from Gamma Ray Bursts (GRB) using the single particle technique in ground-based water-Cherenkov detectors (WCD). To reach a reasonable sensitivity, high altitude mountain sites have been selected in Mexico (Sierra Negra, 4550 m a.s.l.), Bolivia (Chacaltaya, 5300 m a.s.l.) and Venezuela (Me´ rida, 4765 m a.s.l.). We report on detector calibration and operation at high altitude, search for bursts in 4 months of preliminary data, as well as search for signal at ground level when satellites report a burst.Fil: Allard, D.. Université Paris Diderot - Paris 7; FranciaFil: Allekotte, Ingomar. Comisión Nacional de Energía Atómica. Centro Atómico Bariloche; ArgentinaFil: Alvarez, C.. Facultad de Ciencias Fısico-Matematicas; MéxicoFil: Asorey, Hernán Gonzalo. Comisión Nacional de Energía Atómica. Centro Atómico Bariloche; ArgentinaFil: Barros, H.. Universidad Simon Bolivar; VenezuelaFil: Bertou, Xavier Pierre Louis. Comisión Nacional de Energía Atómica. Centro Atómico Bariloche; ArgentinaFil: Burgoa, O.. Instituto de Investigaciones Fisicas; BoliviaFil: Gomez Berisso, Mariano. Comisión Nacional de Energía Atómica. Centro Atómico Bariloche; ArgentinaFil: Martinez, O.. Facultad de Ciencias Fısico-Matematicas; MéxicoFil: Miranda Loza, P.. Instituto de Investigaciones Fısicas; BoliviaFil: Murrieta, T.. Facultad de Ciencias Fısico-Matematicas; MéxicoFil: Perez, G.. Facultad de Ciencias Fısico-Matematicas; MéxicoFil: Rivera, H.. Instituto de Investigaciones Fısicas; BoliviaFil: Rovero, Adrian Carlos. Consejo Nacional de Investigaciónes Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Astronomía y Física del Espacio. - Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Astronomía y Física del Espacio; ArgentinaFil: Saavedra, O.. Istituto Nazionale di Fisica Nucleare; ItaliaFil: Salazar, H.. Facultad de Ciencias Fısico-Matematicas ; MéxicoFil: Tello, J. C.. Universidad Simon Bolıvar; VenezuelaFil: Ticona Peralda, R.. Instituto de Investigaciones Fısicas; BoliviaFil: Velarde, A.. Instituto de Investigaciones Fısicas; BoliviaFil: Villaseñor, L.. Universidad de Michoacan; MéxicoFil: Areso, Omar Antonio. Consejo Nacional de Investigaciónes Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Astronomía y Física del Espacio. - Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Astronomía y Física del Espacio; ArgentinaFil: Arnaldi, Luis Horacio. Comisión Nacional de Energía Atómica. Centro Atómico Bariloche; ArgentinaFil: Dasso, Sergio Ricardo. Consejo Nacional de Investigaciónes Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Astronomía y Física del Espacio. - Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Astronomía y Física del Espacio; ArgentinaFil: Gonzalez, M.. Comisión Nacional de Energía Atómica. Centro Atómico Bariloche; ArgentinaFil: Gulisano, Adriana Maria. Consejo Nacional de Investigaciónes Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Astronomía y Física del Espacio. - Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Astronomía y Física del Espacio; ArgentinaFil: Martin, R.. Ministerio de Relaciones Exteriores, Comercio Interno y Culto. Dirección Nacional del Antártico. Instituto Antártico Argentino; ArgentinaFil: Masías Meza, Jimmy Joel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Física de Buenos Aires; ArgentinaFil: Sidelnik, Iván Pedro. Comisión Nacional de Energía Atómica. Centro Atómico Bariloche; ArgentinaFil: Alvarez, W.. Universidad de San Carlos; GuatemalaFil: The LAGO Collaboration

Energy Estimation of Cosmic Rays with the Engineering Radio Array of the Pierre Auger Observatory

The Auger Engineering Radio Array (AERA) is part of the Pierre Auger Observatory and is used to detect the radio emission of cosmic-ray air showers. These observations are compared to the data of the surface detector stations of the Observatory, which provide well-calibrated information on the cosmic-ray energies and arrival directions. The response of the radio stations in the 30 to 80 MHz regime has been thoroughly calibrated to enable the reconstruction of the incoming electric field. For the latter, the energy deposit per area is determined from the radio pulses at each observer position and is interpolated using a two-dimensional function that takes into account signal asymmetries due to interference between the geomagnetic and charge-excess emission components. The spatial integral over the signal distribution gives a direct measurement of the energy transferred from the primary cosmic ray into radio emission in the AERA frequency range. We measure 15.8 MeV of radiation energy for a 1 EeV air shower arriving perpendicularly to the geomagnetic field. This radiation energy -- corrected for geometrical effects -- is used as a cosmic-ray energy estimator. Performing an absolute energy calibration against the surface-detector information, we observe that this radio-energy estimator scales quadratically with the cosmic-ray energy as expected for coherent emission. We find an energy resolution of the radio reconstruction of 22% for the data set and 17% for a high-quality subset containing only events with at least five radio stations with signal.Comment: Replaced with published version. Added journal reference and DO

Measurement of the Radiation Energy in the Radio Signal of Extensive Air Showers as a Universal Estimator of Cosmic-Ray Energy

We measure the energy emitted by extensive air showers in the form of radio emission in the frequency range from 30 to 80 MHz. Exploiting the accurate energy scale of the Pierre Auger Observatory, we obtain a radiation energy of 15.8 \pm 0.7 (stat) \pm 6.7 (sys) MeV for cosmic rays with an energy of 1 EeV arriving perpendicularly to a geomagnetic field of 0.24 G, scaling quadratically with the cosmic-ray energy. A comparison with predictions from state-of-the-art first-principle calculations shows agreement with our measurement. The radiation energy provides direct access to the calorimetric energy in the electromagnetic cascade of extensive air showers. Comparison with our result thus allows the direct calibration of any cosmic-ray radio detector against the well-established energy scale of the Pierre Auger Observatory.Comment: Replaced with published version. Added journal reference and DOI. Supplemental material in the ancillary file

Monetary Policy Report - July de 2021

Macroeconomic summary The Colombian economy sustained numerous shocks in the second quarter, pri¬marily related to costs and supply. The majority of these shocks were unantic¬ipated or proved more persistent than expected, interrupting the recovery in economic activity observed at the beginning of the year and pushing overall inflation above the target. Core inflation (excluding food and regulated items) increased but remained low, in line with the technical staff’s expectations. A third wave of the pandemic, which became more severe and prolonged than the previous outbreak, began in early April. This had both a high cost in terms of human life and a negative impact on Colombia's economic recovery. Between May and mid-June roadblocks and other disruptions to public order had a sig¬nificant negative effect on economic activity and inflation. The combination and magnitude of these two shocks likely led to a decline in gross domestic product (GDP) compared to the first quarter. Roadblocks also led to a significant in¬crease in food prices. The accumulated effects of global disruptions to certain value chains and increased international freight transportation prices, which since the end of 2020 have restricted supply and increased costs, also affected Colombia’s economy. The factors described above, which primarily affected the consumer price index (CPI) for goods and foods, explain to a significant degree the technical staff’s forecast errors and the increase in overall inflation above the 3% target. By contrast, increases in core inflation and in prices for regulated items were in line with the technical staff’s expectations, and can be explained largely by the elimination of various price relief measures put in place last year. An increase in perceived sovereign risk and the upward pressures that this im¬plies on international financing costs and the exchange rate were further con¬siderations. Despite significant negative shocks, economic growth in the first half of the year (9.1%) is now expected to be significantly higher than projected in the April re¬port (7.1%), a sign of a more dynamic economy that could recover more quickly than previously forecast. Diverse economic activity figures have indicated high¬er-than-expected growth since the end of 2020. This suggests that the negative effects on output from recurring waves of COVID-19 have grown weaker and less long-lasting with subsequent outbreaks. Nevertheless, the third wave of the coro¬navirus, and to an even greater degree the previously mentioned roadblocks and disruptions to public order, likely led to a decline in GDP in the second quar¬ter compared to the first. Despite this, data from the monthly economic tracking indicator (ISE) for April and May surpassed expectations, and new sector-level measures of economic activity suggest that the negative impact of the pandemic on output continues to moderate, amid reduced restrictions on mobility and im¬provements in the pace of vaccination programs. Freight transportation registers (June) and unregulated energy demand (July), among other indicators, suggest a significant recovery following the roadblocks in May. Given the above, annual GDP growth in the second quarter is expected to have been around 17.3% (previously 15.8%), explained in large part by a low basis of comparison. The technical staff revised its growth projection for 2021 upward from 6% to 7.5%. This forecast, which comes with an unusually high degree of uncertain¬ty, assumes no additional disruptions to public order and that any new waves of COVID-19 will not have significant additional negative effects on economic activity. Recovery in international demand, price levels for some of Colombia’s export com¬modities, and remittances from workers abroad have all performed better than projected in the previous report. This dynamic is expected to continue to drive recovery in the national income over the rest of the year. Continued ample international liquidity, an acceleration in vacci¬nation programs, and low interest rates can also be ex¬pected to favor economic activity. Improved performance in the second quarter, which led to an upward growth revision for all components of spending, is expected to continue, with the economy returning to 2019 production levels at the end of 2021, earlier than estimated in the April report. This forecast continues to account for the short-term effects on aggregate demand of a tax reform package along the lines of what is currently being pro-posed by the national government. Given the above, the central forecast scenario in this report projects growth in 2021 of 7.5% and in 2022 of 3.1% (Graph 1.1). In this scenar¬io, economic activity would nonetheless remain below potential. The noted improvement in these projections comes with a high degree of uncertainty. Annual inflation increased more than expected in June (3.63%) as a result of changes in food prices, while growth in core inflation (1.87%) was similar to projections. The in¬creased CPI for foods would be expected to persist for the remainder of the year, contributing to inflation remaining above the target. Overall and core inflation would be ex¬pected to return to close to 3% at the end of 2022, amid a deceleration in growth in the CPI for foods and reduced ex¬cess productive capacity. Recent increases in international freight and agricultural goods prices, as well as the live¬stock cycle and increased meat exports, have exerted up¬ward pressure on food prices, primarily in processed foods (see Box 21). In addition to these persistent factors affecting prices, national roadblocks and related disruptions to pub¬lic order in several cities throughout May and parts of June were reflected in a significant restriction of supply and an unexpected annual increase in the CPI for foods (8.52%). Inflation in regulated items (5.93%) also accelerated, due to a low basis of comparison on gasoline prices and the par¬tial lapse of relief measures on utility rates that were put in place in 2020. Inflation excluding food and regulated items recovered in line with projections to 1.87%, due to the rein¬statement of indirect taxes on certain goods and services that had been temporarily eliminated in 2020, and to up¬ward pressures exerted by prices for foods away from home (FAH), among other factors. The increase in perishable foods prices is expected to be reversed over the course of the year, assuming an absence of additional, long-lasting blockades of national roads. Increased processed food pric¬es would be expected to persist and contribute to keeping inflation above the target at the end of the year. Inflation excluding foods and regulated items is expected to contin¬ue to exhibit an upward trend, as excesses in productive ca¬pacity continue to close, and register a temporary increase in March 2022 largely due to the reinstatement of the FAH consumption tax. Given the above, overall year-end infla¬tion is expected to be 4.1% in 2021 and 3.1% in 2022 (Graph 1.2), and core inflation is expected to be 2.6% in 2021 and 3.2% in 2022 (Graph 1.3). The technical staff has interpreted the overall behavior of prices in the CPI excluding food and regulated items, alongside continued unexpected increases in economic activity, as signs of more ample excess productive capaci¬ty in the economy. This would be expected to persist over the next two years, with the output gap closing at the end of that period. Increased economic growth suggests a less negative output gap than estimated last quarter. Nevertheless, the behavior of core inflation, especially in services, suggests that potential GDP has recovered to an unanticipated degree and that ample excess capacity con¬tinues, with a persistent effect on aggregate demand. La¬bor market observation supports this interpretation, with persistent high levels of unemployment and stagnation in the recovery of jobs lost as a result of the pandemic. Increased inflation can be explained largely by shocks re¬lated to costs and supply, and by the dissolution of some price relief measures put in place in 2020. The growth and inflation forecasts described above would be consistent with a less negative output gap closing more quickly across the forecast horizon compared to the projection from the April report. Nevertheless, uncertainty surrounding excess capacity is very high and constitutes a risk to the forecast (Graphic 1.4). The fiscal accounts outlook deteriorated, Standard and Poor’s Global Ratings (S&P) and Fitch Ratings (Fitch) down¬graded Colombia’s credit rating, roadblocks and disrup¬tions to public order affected output, and the country faced a third wave of COVID-19 that was more severe and prolonged than the previous outbreak. These factors were reflected in an increased risk premium and depreciation of the peso compared to the dollar. This occurred in a favor¬able context in regard to foreign income, as international prices for oil, coffee, and other Colombian export goods in¬creased. This contributed to a recovery in the terms of trade and in the national income and mitigated upward pres¬sures on the risk premium and the exchange rate. Expected oil prices in this report are USD 68 per barrel (previous¬ly USD 61/bl) for 2021 and USD 66/bl (previously USD 60/ bl) for 2022. This increased trajectory shows convergence to oil prices below recently observed levels, as a result of increased global supply that would more than offset increased demand. As a result, the recent price increase is expected to be temporary. International financial conditions are expected to become somewhat less fa¬vorable in the current macroeconomic context, despite the improvement in foreign income due to increased demand and some higher prices for oil and other export products. Growth in foreign demand was better than expected in the previous report, with projections for 2021 and 2022 increasing from 5.2% to 6.0% and from 3.4% to 3.5%, respectively. For the year to date, figures for economic activity suggest more dynamic foreign demand than previously expected. Output recovery has been faster in the United States and China than in Latin America, as economic reactivation in the latter has been limit¬ed by outbreaks of COVID-19, restricted vaccine supplies, and a lack of fiscal space to confront the pandemic, among other factors. The positive dynamic in foreign goods trade has come amid a deterioration in value chains and a significant increase in commodities and freight prices (see Box 3). Inflation in the United States has been unexpectedly high, with observed and expected values remaining above the target, while growth forecasts have been revised upward. As a result, the beginning of a normalization in monetary policy in the U.S. could come earlier than previously projected. This report estimates that the U.S. Federal Reserve’s first rate increase will come at the end of 2022 (before the first quarter of 2023). Colombia’s risk premium is projected to be higher than forecast in the April report, and is expected to remain on a growth trajectory given the country’s accumulation of public and external debt. This would be expected to contribute to an increase in international financing costs on the forecast horizon. An expansionary monetary policy stance continues to support favorable do¬mestic financing conditions. The interbank rate and the reference banking indi¬cator (IBR)remained consistent with the policy interest rate in the second quar¬ter. Average deposit and credit rates continued at historical lows, despite some observed increases at the end of June. The peso-denominated credit portfolio continued to decelerate in annual terms and, between March and June, growth in the household credit portfolio accelerated, primarily related to housing pur¬chases. Disbursements and recovery in the commercial credit portfolio were significant, returning to high levels observed one year ago, when businesses required significant levels of liquidity to confront the economic effects of the pandemic. Meanwhile, credit risk increased, liability provisions remained high, and some banks withdrew from the balance of their past-due portfolios. Nev¬ertheless, financial system earnings have recovered, and liquidity and solvency levels remain above regulatory minimums. Beginning with this report, a new methodology will be used to quantify and communicate the uncertainty surrounding central macroeconomic fore¬casts in the context of an active monetary policy. The new methodology, known as predictive densities (PD), will be explained in detail in Box 1. PD methodology provides probability distributions of the main forecast vari¬ables (e.g. growth, inflation) based on the balance of risks of key factors that, in the technical staff’s judgment, could affect the economy on the forecast horizon. These distributions reflect the result of possible shocks (to external variables, prices, and economic activity) that the economy could sustain and the transmission effects considering Colombia’s economic structure and anticipated monetary policy responses. As a result, PD allows for the quantification of uncertainty around the central forecast and of its bias. In this report, the PD exercise shows a downward bias for both economic growth and output gap, while the op¬posite is shown for headline inflation (Graphs 1.1, 1.2 and 1.3). The balance of risks indicates more complex mone¬tary policy dilemmas than previously expected. The most significant anticipated risk regarding external financing would be a return to less favorable conditions in a sce¬nario in which the U.S. Federal Reserve promptly raises interest rates. Such a decision could come as the result of current levels of economic growth and higher-than-ex¬pected employment generating significant inflationary pressures on that country. Uncertainty regarding Colom¬bia’s fiscal outlook and the subsequent effects on the risk premium and external financing costs represent addi¬tional considerations. The risks to economic growth are mainly downside risks, relating especially to the effects of political and fiscal uncertainty on consumption and investment decisions and the potential for additional waves of COVID-19 and the subsequent effects on eco-nomic activity. Inflation risks take into account the po¬tential for more persistent shocks associated with dis¬ruption to value chains, higher international commodity and food prices, and a slower-than-expected recovery in the national agricultural chain as a result of the recent roadblocks. These would represent upward risks primarily to food and goods prices. The main downside risk to the inflation forecast would come from an increase in rental housing prices below the central scenario projection. This would be explained by weak demand and increased sup¬ply in 2022 as a result of high observed housing sales this year. All told, the PD exercise reveals a downward bias for economic growth forecast, with 90% probability of growth between 6.1% and 9.1% for 2021 and between 0.5% and 4.1% in 2022. The output gap also exhibits a downward bias to the central forecast scenario, primarily in 2022. On the contrary, an upward bias is expected for headline inflation forecast, with 90% probability ranging between 3.7% and 4.9% in 2021 and between 2.2% and 4.7% in 2022. 1.2 Monetary policy decision In its meetings in June and July the BDBR left the bench¬mark interest rate unchanged at 1.75% (Graph 1.5).Box 1. Characterizing and Communicating the Balance of Risks of Macroeconomic Forecasts: A Predictive Densities Approach for Colombia Authors: Juan Camilo Méndez-Vizcaíno, César Ánzola-Bravo, Alexander Guarín y Anderson Grajales-OlarteBox 2. Analysis of Recent Disturbances in Global Logistics Chains and their Impact on Colombian Import Markets. Authors: Aarón Garavito, Juan Diego Cortés, Stefany Andrea Moreno, Alex Fernando Pérez y Juan Esteban CarranzaBox 3. The Upward Dynamics of Food Prices. Authors: Edgar Caicedo G., Andrea Salazar D. y Jesús Daniel Sarmiento S

Investigación en Matemáticas, Economía, Ciencias Sociales y Agronomía

Cada trabajo del libro incluye conclusiones para los interesados en las temáticas aludidas y en ellos nos enteramos de aspectos como los siguientes: - El mayor incremento del precio de los insumos como el maíz, sorgo y en menor medida desperdicio de pan, en relación con el menor crecimiento del precio del ganado en pie, dará como consecuencia un desabasto de carne bovina. - El agua es un recurso primordial en las zonas áridas y semiáridas de México, en tanto que su aporte limita la producción de la agricultura. En este estudio se observó que el precio real del agua es muy bajo en relación a otras zonas agrícolas del mundo. - Hoy en día en el país se consumen alrededor de 718 mil barriles diarios de gasolinas, un aproximado de 113.7 millones de litros, una cantidad tan grande que nuestro país se ve en la necesidad de importar cerca del 39 % de las gasolinas que consumimos. - Los jaliscienses radicados en Estados Unidos tienen una mayor capacidad de financiamiento del bienestar en la entidad, que el propio gobierno de ese estado. - México continuará basando sus finanzas públicas y su política de desarrollo económico en la extracción de combustibles fósiles (petróleo). Este modelo acelerará el deterioro y agotamiento de los recursos naturales. -La importancia de la agricultura orgánica radica en que retoma los tres ámbitos de la sustentabilidad; el ámbito ambiental, el económico y el social. - Es fundamental motivar la organización de los productores de haba para que ellos puedan captar una mayor proporción de los altos márgenes de precios que los consumidores están dispuestos a pagar. - Las condiciones del clima afectan a la producción agraria. Debido al fenómeno de cambio climático, es necesario contar con herramientas informáticas que proporcionen información climatológica para poder tomar medidas preventivas a favor de una mayor cantidad y calidad de producción. La herramienta de software permite la consulta del clima por localidades evitando la necesidad de contar con una estación meteorológica

Studies of the mass composition of cosmic rays and proton-proton interaction cross-sections at ultra-high energies with the Pierre Auger Observatory

In this work, we present an estimate of the cosmic-ray mass composition from the distributions of the depth of the shower maximum (Xmax) measured by the fluorescence detector of the Pierre Auger Observatory. We discuss the sensitivity of the mass composition measurements to the uncertainties in the properties of the hadronic interactions, particularly in the predictions of the particle interaction cross-sections. For this purpose, we adjust the fractions of cosmic-ray mass groups to fit the data with Xmax distributions from air shower simulations. We modify the proton-proton cross-sections at ultra-high energies, and the corresponding air shower simulations with rescaled nucleus-air cross-sections are obtained via Glauber theory. We compare the energy-dependent composition of ultra-high-energy cosmic rays obtained for the different extrapolations of the proton-proton cross-sections from low-energy accelerator data