Desarrollo de un modelo logístico de distribución para el proceso de paqueteo semi masivo y masivo a nivel nacional en Almaviva S.A.

La empresa ALMAVIVA S.A. es un integrador logístico segmentado en dos partes, el primero el de almacenamiento y el segundo es el de distribución, este segmento lo realiza mediante el nombre global cargo, actualmente la empresa para el proceso de distribución a nivel nacional cuenta con un servicio de subcontratación con diferentes empresas de distribución del mercado nacional entre las cuales se encuentran a Saferbo, Envía y Coordinadora mercantil, en donde actualmente este sistema de distribución ocasiona que la empresa incurra en bajos niveles de servicios y en elevados costos frente a sus competidores lo cual hace que la participación en el mercado sea reducida; para lograr cerrar las brechas de competitividad como fiabilidad, adaptabilidad y costos se motiva el desarrollo de un modelo logístico para el proceso de distribución a nivel nacional. Inicialmente el presente trabajo muestra como es el desarrollo de un modelo logístico de distribución en el proceso de paqueteo semi masivo y masivo a nivel nacional en ALMAVIVA S.A., proceso que inicio con la caracterización de la cadena de suministro bajo la metodología del modelo SCOR, en esta se incluyó la descripción y diagnóstico de la cadena de suministro; posteriormente se realizó la medición de los atributos y métricas de cada nivel (nivel superior, nivel de configuración de los procesos y nivel de configuración de los elementos). Una vez se caracterizó y diagnosticó la cadena de suministro, se hace evidente la generación de desarrollar un modelo de distribución a nivel nacional sin outsourcing, el primer paso es la clasificación ABC de los clientes; a las demandas de los clientes tipo A se les realizo la prueba de bondad y ajuste para determinar su comportamiento, enseguida se determinó la distribución de probabilidad de los tiempos entre los diferentes nodos y además se determinó la capacidad de los vehículos para el desarrollo del modelo matemático adecuado, este se analiza en el software Grafos, una vez se tiene la ruta de los vehículos, se procede a la simulación de los tiempos mediante el software Arena Rockwell, en esta etapa se conoce la flota de transporte necesaria para el proceso de distribución en el triángulo de transporte. Para la parte final del trabajo se busca evaluar dos modelos para la empresa; en el primero se tiene en cuenta la compra de vehículos en donde ALMAVIVA S.A. se encargaría de controlar de una manera más eficiente el proceso en general de distribución y en el segundo se tiene en cuenta el arrendamiento de la flota de vehículos en donde ALMAVIVA S.A. se encargaría de plantear y controlar las condiciones en la que los vehículos operan, esta contratación se hace directamente con propietarios de los vehículos.The company ALMAVIVA S.A. is a logistics integrator running on the first segments of storage and the second is the distribution, this segment is done by global name charge, the company currently in the process of national distribution has a subcontracting service different distribution companies market among which we find Saferbo, Envia and Coordinadora mercantil, where currently this distribution system causes the company to occur at low levels of services and high costs compared to its competitors which makes the market share is reduced., to achieve close competitiveness gaps as reliability, adaptability and costs motivates the development of a logistic model for the process of national distribution. Initially, this paper shows how it is developing a logistics distribution model in the process of massive and semi massive picking nationally in ALMAVIVA S.A., a process that began with the characterization of the supply chain under the SCOR model methodology in This included the description and diagnosis of the supply chain; subsequently performed measurement attributes and metrics of each level (top level, configuration level processes and setting level elements). Once diagnosed was characterized and the supply chain , it becomes apparent generation develop a nationwide distribution without outsourcing , the first step is the ABC classification of customers , to customer demands type A were performed test to determine goodness and adjust its behavior quickly determined the probability distribution of time among the different nodes and also investigated the ability of vehicles to develop suitable mathematical model , the software discussed in Graphs , once have the path of the vehicles , it proceeds to the simulation of the times by Rockwell Arena software at this stage is called the transport fleet required for the process of distribution in the transport triangle. For the final part of the work is to evaluate two models for the company, in the first you consider the purchase of vehicles where ALMAVIVA SA be responsible for control of a more efficient overall process of distribution and in the second you consider leasing the vehicle fleet where ALMAVIVA SA be responsible to raise and control the conditions in which the vehicles operate , this recruitment is made directly with vehicle owners

Sesiones 91.9 Javeriana Estéreo

Las Sesiones 91.9 de Javeriana Estéreo son un nuevo espacio para agrupaciones musicales que deseen mostrar a la audiencia parte de su trabajo, destacando principalmente la dinámica de una sesión de grabación en vivo.Javeriana Estéreo 91.9 Sessions are a new space for musical groups that want to show part of their work to the audience, standing out mainly the dynamic of a live recording session.Maestro (a) en MúsicaPregrad

Independent mutations in a single locus, the transcriptional factor MYB10, control natural variation in fruit color among Fragaria species

External and internal fruit color are important traits in strawberry (Fragaria spp.) breeding programs, where different preferences are sought depending on whether the fruits are produced for fresh consumption or processing. Therefore, there is a great interest in the development of predictive markers that effectively speed the development of new cultivars with increased consumer acceptance and/or which address processed fruit industry´s preferences. In order to identify loci controlling fruit color variation, two mapping populations were generated: one crossing diploid F. vesca parentals and another interspecific population between two octoploid species: the cultivated and the Chilean strawberry, F. x ananassa and F. chiloensis. Both populations allowed the detection of a QTL spanning a region of the F. vesca linkage group 1 (LG I) that includes the MYB10 gene, a known key regulator of anthocyanin biosynthesis. Mapping by sequencing in the F. vesca population revealed an LTR retrotransposon inserted in the third exon of FvMYB10, which produces a premature stop codon, and co-segregates with white fruits in the entire population. Genotyping by Sanger sequencing of additional white-fruited F. vesca accessions resulted in the identification of another three independent mutations in MYB10, two of them not previously described1. In octoploid strawberry, a mayor QTL on LG I-3 controls about 55% variation in internal flesh color and is associated with an insertion in the promoter region of FcMYB10. Similar insertions have been detected in other F. chiloensis accessions bearing white fruits. In all cases, transient over-expression of FvMYB10 restored anthocyanin biosynthesis and red color in fruit flesh and skin, indicating that lack of function of MYB10 was the underlying cause of white fruits in all analyzed cases

Biofortification with magnesium nanofertilizer on bioactive compounds and antioxidant capacity in green beans

The use of nanofertilizers has the potential to be used to enrich edible organs with nutrients (biofortification) and improve the biosynthesis of bioactive compounds and their antioxidant capacity. Therefore, the objective of this study was to evaluate the effect of biofortification with magnesium (Mg) nanofertilizer on the accumulation of bioactive compounds and antioxidant capacity in green bean cv. Strike compared to a conventional fertilizer (Mg sulfate). Two sources of Mg were applied via foliar: Nanofertilizer and Mg Sulfate at doses of 0, 50, 100, 200, and 300 mg/L of Mg. The accumulation of total polyphenols, flavonoids, anthocyanins, bioactive compounds, and antioxidant capacity was evaluated in pods. The results obtained in this research confirm the effect of green bean pods biofortified with Mg nanofertilizers on the production and accumulation of bioactive compounds and antioxidant capacity, improving the nutrition and nutraceutical quality of green beans. The 50 mg/L dose of Mg nanofertilizer was the most effective treatment to increase bioactive compounds and antioxidant capacity compared to high doses of Mg sulfate (300 mg/L). This is one of the first studies focused on biofortification with Mg nanofertilizers and their effect on the nutraceutical quality of green beans

Allelic Variation of MYB10 is the Major Force Controlling Natural Variation of Skin and Flesh Color in Strawberry (Fragaria spp.) fruit

Anthocyanins are the principal color-producing compounds synthesized in developing fruits of strawberry (Fragaria spp.). Substantial natural variation in color have been observed in fruits of diploid and octoploid accessions, resulting from distinct accumulation and distribution of anthocyanins in fruits. Anthocyanin biosynthesis is controlled by a clade of R2R3 MYB transcription factors, among which MYB10 has been shown as the main activator in strawberry fruit. Here, we show that MYB10 mutations cause most of the anthocyanin variation observed in diploid woodland strawberry (F. vesca) and octoploid cultivated strawberry (F. ×ananassa). Using a mapping-by-sequencing approach, we identified a gypsytransposon insertion in MYB10 that truncates the protein and knocks out anthocyanin biosynthesis in a white-fruited F. vesca ecotype. Two additional lossof-function MYB10 mutations were identified among geographically diverse whitefruited F. vesca ecotypes. Genetic and transcriptomic analyses in octoploid Fragaria spp. revealed that FaMYB10-2, one of three MYB10 homoeologs identified, residing in the F. iinumae-derived subgenome, regulates the biosynthesis of anthocyanins in developing fruit. Furthermore, independent mutations in MYB10-2 are the underlying cause of natural variation in fruit skin and flesh color in octoploid strawberry. We identified a CACTA-like transposon (FaEnSpm-2) insertion in the MYB10-2 promoter of red-fleshed accessions that was associated with enhanced expression and anthocyanin accumulation. Our findings suggest that putative cis regulatory elements provided by FaEnSpm-2 are required for high and ectopic MYB10-2 expression and induction of anthocyanin biosynthesis in fruit flesh. We developed MYB10-2 (sub-genome) specific DNA markers for marker-assisted selection that accurately predicted anthocyanin phenotypes in octoploid segregating populations

Effects of intubation timing in patients with COVID-19 throughout the four waves of the pandemic : a matched analysis

The primary aim of our study was to investigate the association between intubation timing and hospital mortality in critically ill patients with COVID-19-associated respiratory failure. We also analysed both the impact of such timing throughout the first four pandemic waves and the influence of prior non-invasive respiratory support on outcomes. This is a secondary analysis of a multicentre, observational and prospective cohort study that included all consecutive patients undergoing invasive mechanical ventilation due to COVID-19 from across 58 Spanish intensive care units (ICU) participating in the CIBERESUCICOVID project. The study period was between 29 February 2020 and 31 August 2021. Early intubation was defined as that occurring within the first 24 h of intensive care unit (ICU) admission. Propensity score (PS) matching was used to achieve balance across baseline variables between the early intubation cohort and those patients who were intubated after the first 24 h of ICU admission. Differences in outcomes between early and delayed intubation were also assessed. We performed sensitivity analyses to consider a different timepoint (48 h from ICU admission) for early and delayed intubation. Of the 2725 patients who received invasive mechanical ventilation, a total of 614 matched patients were included in the analysis (307 for each group). In the unmatched population, there were no differences in mortality between the early and delayed groups. After PS matching, patients with delayed intubation presented higher hospital mortality (27.3% versus 37.1%, p =0.01), ICU mortality (25.7% versus 36.1%, p=0.007) and 90-day mortality (30.9% versus 40.2%, p=0.02) when compared to the early intubation group. Very similar findings were observed when we used a 48-hour timepoint for early or delayed intubation. The use of early intubation decreased after the first wave of the pandemic (72%, 49%, 46% and 45% in the first, second, third and fourth wave, respectively; first versus second, third and fourth waves p<0.001). In both the main and sensitivity analyses, hospital mortality was lower in patients receiving high-flow nasal cannula (n=294) who were intubated earlier. The subgroup of patients undergoing NIV (n=214) before intubation showed higher mortality when delayed intubation was set as that occurring after 48 h from ICU admission, but not when after 24 h. In patients with COVID-19 requiring invasive mechanical ventilation, delayed intubation was associated with a higher risk of hospital mortality. The use of early intubation significantly decreased throughout the course of the pandemic. Benefits of such an approach occurred more notably in patients who had received high-flow nasal cannul

Role of age and comorbidities in mortality of patients with infective endocarditis

[Purpose]: The aim of this study was to analyse the characteristics of patients with IE in three groups of age and to assess the ability of age and the Charlson Comorbidity Index (CCI) to predict mortality. [Methods]: Prospective cohort study of all patients with IE included in the GAMES Spanish database between 2008 and 2015.Patients were stratified into three age groups:<65 years,65 to 80 years,and ≥ 80 years.The area under the receiver-operating characteristic (AUROC) curve was calculated to quantify the diagnostic accuracy of the CCI to predict mortality risk. [Results]: A total of 3120 patients with IE (1327 < 65 years;1291 65-80 years;502 ≥ 80 years) were enrolled.Fever and heart failure were the most common presentations of IE, with no differences among age groups.Patients ≥80 years who underwent surgery were significantly lower compared with other age groups (14.3%,65 years; 20.5%,65-79 years; 31.3%,≥80 years). In-hospital mortality was lower in the <65-year group (20.3%,<65 years;30.1%,65-79 years;34.7%,≥80 years;p < 0.001) as well as 1-year mortality (3.2%, <65 years; 5.5%, 65-80 years;7.6%,≥80 years; p = 0.003).Independent predictors of mortality were age ≥ 80 years (hazard ratio [HR]:2.78;95% confidence interval [CI]:2.32–3.34), CCI ≥ 3 (HR:1.62; 95% CI:1.39–1.88),and non-performed surgery (HR:1.64;95% CI:11.16–1.58).When the three age groups were compared,the AUROC curve for CCI was significantly larger for patients aged <65 years(p < 0.001) for both in-hospital and 1-year mortality. [Conclusion]: There were no differences in the clinical presentation of IE between the groups. Age ≥ 80 years, high comorbidity (measured by CCI),and non-performance of surgery were independent predictors of mortality in patients with IE.CCI could help to identify those patients with IE and surgical indication who present a lower risk of in-hospital and 1-year mortality after surgery, especially in the <65-year group

Prognostic implications of comorbidity patterns in critically ill COVID-19 patients: A multicenter, observational study

Background The clinical heterogeneity of COVID-19 suggests the existence of different phenotypes with prognostic implications. We aimed to analyze comorbidity patterns in critically ill COVID-19 patients and assess their impact on in-hospital outcomes, response to treatment and sequelae. Methods Multicenter prospective/retrospective observational study in intensive care units of 55 Spanish hospitals. 5866 PCR-confirmed COVID-19 patients had comorbidities recorded at hospital admission; clinical and biological parameters, in-hospital procedures and complications throughout the stay; and, clinical complications, persistent symptoms and sequelae at 3 and 6 months. Findings Latent class analysis identified 3 phenotypes using training and test subcohorts: low-morbidity (n=3385; 58%), younger and with few comorbidities; high-morbidity (n=2074; 35%), with high comorbid burden; and renal-morbidity (n=407; 7%), with chronic kidney disease (CKD), high comorbidity burden and the worst oxygenation profile. Renal-morbidity and high-morbidity had more in-hospital complications and higher mortality risk than low-morbidity (adjusted HR (95% CI): 1.57 (1.34-1.84) and 1.16 (1.05-1.28), respectively). Corticosteroids, but not tocilizumab, were associated with lower mortality risk (HR (95% CI) 0.76 (0.63-0.93)), especially in renal-morbidity and high-morbidity. Renal-morbidity and high-morbidity showed the worst lung function throughout the follow-up, with renal-morbidity having the highest risk of infectious complications (6%), emergency visits (29%) or hospital readmissions (14%) at 6 months (p<0.01). Interpretation Comorbidity-based phenotypes were identified and associated with different expression of in-hospital complications, mortality, treatment response, and sequelae, with CKD playing a major role. This could help clinicians in day-to-day decision making including the management of post-discharge COVID-19 sequelae. Copyright (C) 2022 The Author(s). Published by Elsevier Ltd