Formulación de un plan estratégico de marketing del servicio RTM en la empresa Cummins de los Andes S.A. para el año 2016

La siguiente investigación consta de cinco capítulos, el primer capítulo hace referencia a la situación actual de la empresa, análisis que se realiza a través del instrumento de planificación estratégica Pestal donde se evalúan aspectos políticos, económicos, sociales, tecnológicos, ambientales y legales del macroambiente y para microambiente se utilizan matrices estratégicas. La segmentación de mercado, es el segundo capítulo, muestra el mercado objetivo sumado a los tipos de segmentación que aplican para el plan de marketing del servicio RTM. El plan de marketing en el tercer capítulo plantea soluciones estratégicas luego de hacer un análisis del producto, precio, plaza y promoción que Cummins de los Andes ofrece, incluye objetivos y estrategias seguido de la evaluación, control y responsables por medio del six sigma y que se encuentra en el cuarto capítulo. Finalmente, el quinto capítulo complementa financieramente la investigación con sus conclusiones.The next research consists of six chapters, the first chapter refers to the current situation of the company, an analysis that is carried out through the strategic planning tool Pestal where political, economic, social, technological, environmental and legal aspects are evaluated. In the second chapter, we find the situational analyzes of both macroenvironment and microenvironment contrasted in strategic matrices. Market segmentation is the third chapter, shows the target market plus the types of segmentation that apply to the marketing plan of the RTM service. The marketing plan in the fourth chapter poses strategic solutions after making a product, price, place and promotion analysis that Cummins de los Andes offers, includes objectives and strategies followed by evaluation, control, and accountability through six sigma and is found in the fifth chapter. Finally, the sixth chapter complements financially the research with the conclusions

Mental health of migrants with pre-migration exposure to armed conflict: a systematic review and meta-analysis.

BACKGROUND Exposure to armed conflict has been associated with negative mental health consequences. We aimed to estimate the prevalence of generalised anxiety disorder, major depressive disorder, and post-traumatic stress disorder among migrants exposed to armed conflict. METHODS In this systematic review and meta-analysis, we searched online databases (Cochrane Library, Embase, LILACS, PsycInfo [via Ovid], PubMed, and Web of Science Core Collection) for relevant observational studies published between Jan 1, 1994, and June 28, 2021. We included studies that used standardised psychiatric interviews to assess generalised anxiety disorder, major depressive disorder, or post-traumatic stress disorder among migrants (refugees or internally displaced persons; aged ≥18 years) with pre-migration exposure to armed conflict. We excluded studies in which exposure to armed conflict could not be ascertained, studies that included a clinical population or people with chronic diseases that can trigger the onset of mental disease, and studies published before 1994. We used a random effects model to estimate each mental health disorder's pooled prevalence and random effects meta-regression to assess sources of heterogeneity. Two independent reviewers assessed the risk of bias for each study using the Joanna Briggs Institute Checklist for Prevalence Studies. The protocol was registered with PROSPERO, CRD42020209251. FINDINGS Of the 13 935 studies identified, 34 met our inclusion criteria; these studies accounted for 15 549 migrants. We estimated a prevalence of current post-traumatic stress disorder of 31% (95% CI 23-40); prevalence of current major depressive disorder of 25% (17-34); and prevalence of generalised anxiety disorder of 14% (5-35). Younger age was associated with a higher prevalence of current post-traumatic stress disorder (odds ratio 0·95 [95% CI 0·90-0·99]), lifetime post-traumatic stress disorder (0·88 [0·83-0·92]), and current generalised anxiety disorder (0·87 [0·78-0·97]). A longer time since displacement was associated with a lower lifetime prevalence of post-traumatic stress disorder (0·88 [0·81-0·95]) and major depressive disorder (0·81 [0·77-0·86]). Migrating to a middle-income (8·09 [3·06-21·40]) or low-income (39·29 [11·96-129·70]) country was associated with increased prevalence of generalised anxiety disorder. INTERPRETATION Migrants who are exposed to armed conflict are at high risk of mental health disorders. The mental health-care needs of migrants should be assessed soon after resettlement, and adequate care should be provided, with particular attention paid to young adults. FUNDING Marie Skłodowska-Curie Actions (Horizon 2020-COFUND), MinCiencias (Colombia), and Swiss National Science Foundation

Views of Non-Physician Stakeholders on Barriers & Facilitators to AYA Cancer Care in Latin America

Cancer is the fourth leading cause of death in adolescent and young adults (AYA: ages15-39) worldwide. Over 90% of AYAs with cancer live in low-and-middle-incomecountries (LMIC). Little is known about thecurrent landscape of AYA oncology care in these settings. Guidelines for the care of thisunique population in LMIC in Latin America are lacking

The Hubble Space Telescope Key Project on the Extragalactic Distance Scale XXIV: The Calibration of Tully-Fisher Relations and the Value of the Hubble Constant

This paper presents the calibration of BVRIH$ Tully-Fisher relations based on Cepheid distances to 21 galaxies within 25 Mpc, and 23 clusters within 10,000 km/s. These relations have been applied to several distant cluster surveys in order to derive a value for the Hubble constant, H0, mainly concentrating on an I-band all-sky survey by Giovanelli and collaborators which consisted of total I magnitudes and 50% linewidth data for ~550 galaxies in 16 clusters. For comparison, we also derive the values of H0 using surveys in B-band and V-band by Bothun and collaborators, and in H-band by Aaronson and collaborators. Careful comparisons with various other databases from literature suggest that the H-band data, whose magnitudes are isophotal magnitudes extrapolated from aperture magnitudes rather than total magnitudes, are subject to systematic uncertainties. Taking a weighted average of the estimates of Hubble constants from four surveys, we obtain H0 = 71 +- 4 (random) +- 7 (systematic) km/s/Mpc. We have also investigated how various systematic uncertainties affect the value of H0 such as the internal extinction correction method used, Tully-Fisher slopes and shapes, a possible metallicity dependence of the Cepheid period-luminosity relation and cluster population incompleteness bias.Comment: 34 pages, 13 figure

Early impact of the COVID-19 pandemic on paediatric cancer care in Latin America

Although previous studies have suggested that the complications and mortality rate related to COVID-19 are substantially lower in the paediatric population,1 it is reasonable to consider that children with underlying conditions such as cancer will be at increased risk of severe disease...Fil: Vasquez, Liliana. Universidad de San Martín de Porres; Perú. Organización Panamericana de la Salud; PerúFil: Sampor, Claudia. Fundacion Hospital de Pediatria Professor Dr. Juan P. Garrahan; ArgentinaFil: Villanueva, Gabriela. Fundacion Hospital de Pediatria Professor Dr. Juan P. Garrahan; ArgentinaFil: Maradiegue, Essy. Instituto Nacional de Enfermedades Neoplasicas; PerúFil: Garcia Lombardi, Mercedes. Gobierno de la Ciudad de Buenos Aires. Hospital General de Niños "Ricardo Gutiérrez"; ArgentinaFil: Gomez García, Wendy. Hospital Infantil Dr. Robert Reid Cabral; República DominicanaFil: Moreno, Florencia. Ministerio de Salud. Instituto Nacional del Cáncer; ArgentinaFil: Diaz, Rosdali. Instituto Nacional de Enfermedades Neoplasicas; PerúFil: Cappellano, Andrea M.. Universidade Federal de Sao Paulo; BrasilFil: Portilla, Carlos Andres. Universidad del Valle; ColombiaFil: Salas, Beatriz. Hospital del Niño Manuel Ascencio Villarroel; BoliviaFil: Nava, Evelinda. Hospital de Niños Jesus Garcia Coello; VenezuelaFil: Brizuela, Silvia. Instituto de Previsión Social ; ParaguayFil: Jimenez, Soledad. Hospital Solca Núcleo de Loja; EcuadorFil: Espinoza, Ximena. Hospital de Niños Dr. Roberto del Río; ChileFil: Gassant, Pascale Yola. Hôpital Saint-Damien; HaitíFil: Quintero, Karina. Children's Hospital Dr Jose Renan Esquivel; PanamáFil: Fuentes Alabi, Soad. Hospital Nacional de Niños Benjamin Bloom; El SalvadorFil: Velasquez, Thelma. No especifíca;Fil: Fu, Ligia. Hospital Escuela de Tegucigalpa; HondurasFil: Gamboa, Yessika. National Children's Hospital; Costa RicaFil: Quintana, Juan. Clinica Las Condes; ChileFil: Castiglioni, Mariela. Hospital Pereira Rossell; UruguayFil: Nuñez, Cesar. Children's Cancer Hospital; Estados UnidosFil: Moreno, Arturo. Hospital Universitario de Puebla; MéxicoFil: Luna Fineman, Sandra. State University of Colorado at Boulder; Estados UnidosFil: Luciani, Silvana. Pan American Health Organization; Estados UnidosFil: Chantada, Guillermo Luis. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Gobierno de la Ciudad de Buenos Aires. Hospital de Pediatría "Juan P. Garrahan"; Argentina. Hospital Sant Joan de Deu Barcelona; Españ

Evaluation of polygenic risk scores for breast and ovarian cancer risk prediction in BRCA1 and BRCA2 mutation carriers

Background: Genome-wide association studies (GWAS) have identified 94 common single-nucleotide polymorphisms (SNPs) associated with breast cancer (BC) risk and 18 associated with ovarian cancer (OC) risk. Several of these are also associated with risk of BC or OC for women who carry a pathogenic mutation in the high-risk BC and OC genes BRCA1 or BRCA2. The combined effects of these variants on BC or OC risk for BRCA1 and BRCA2 mutation carriers have not yet been assessed while their clinical management could benefit from improved personalized risk estimates. Methods: We constructed polygenic risk scores (PRS) using BC and OC susceptibility SNPs identified through population-based GWAS: for BC (overall, estrogen receptor [ER]-positive, and ER-negative) and for OC. Using data from 15 252 female BRCA1 and 8211 BRCA2 carriers, the association of each PRS with BC or OC risk was evaluated using a weighted cohort approach, with time to diagnosis as the outcome and estimation of the hazard ratios (HRs) per standard deviation increase in the PRS. Results: The PRS for ER-negative BC displayed the strongest association with BC risk in BRCA1 carriers (HR = 1.27, 95% confidence interval [CI] = 1.23 to 1.31, P = 8.2 x 10(53)). In BRCA2 carriers, the strongest association with BC risk was seen for the overall BC PRS (HR = 1.22, 95% CI = 1.17 to 1.28, P = 7.2 x 10(-20)). The OC PRS was strongly associated with OC risk for both BRCA1 and BRCA2 carriers. These translate to differences in absolute risks (more than 10% in each case) between the top and bottom deciles of the PRS distribution; for example, the OC risk was 6% by age 80 years for BRCA2 carriers at the 10th percentile of the OC PRS compared with 19% risk for those at the 90th percentile of PRS. Conclusions: BC and OC PRS are predictive of cancer risk in BRCA1 and BRCA2 carriers. Incorporation of the PRS into risk prediction models has promise to better inform decisions on cancer risk management

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

Capturing Single Cell Genomes of Active Polysaccharide Degraders: An Unexpected Contribution of Verrucomicrobia

Microbial hydrolysis of polysaccharides is critical to ecosystem functioning and is of great interest in diverse biotechnological applications, such as biofuel production and bioremediation. Here we demonstrate the use of a new, efficient approach to recover genomes of active polysaccharide degraders from natural, complex microbial assemblages, using a combination of fluorescently labeled substrates, fluorescence-activated cell sorting, and single cell genomics. We employed this approach to analyze freshwater and coastal bacterioplankton for degraders of laminarin and xylan, two of the most abundant storage and structural polysaccharides in nature. Our results suggest that a few phylotypes of Verrucomicrobia make a considerable contribution to polysaccharide degradation, although they constituted only a minor fraction of the total microbial community. Genomic sequencing of five cells, representing the most predominant, polysaccharide-active Verrucomicrobia phylotype, revealed significant enrichment in genes encoding a wide spectrum of glycoside hydrolases, sulfatases, peptidases, carbohydrate lyases and esterases, confirming that these organisms were well equipped for the hydrolysis of diverse polysaccharides. Remarkably, this enrichment was on average higher than in the sequenced representatives of Bacteroidetes, which are frequently regarded as highly efficient biopolymer degraders. These findings shed light on the ecological roles of uncultured Verrucomicrobia and suggest specific taxa as promising bioprospecting targets. The employed method offers a powerful tool to rapidly identify and recover discrete genomes of active players in polysaccharide degradation, without the need for cultivation

A case-only study to identify genetic modifiers of breast cancer risk for BRCA1/BRCA2 mutation carriers

Peer reviewedPublisher PD