109 research outputs found
Sistema de Información Gerencial para la Gestión Administrativa de Caja los Andes SAC, Sede Lima, 2023
En la actualidad, las empresas se enfrentan a continuos cambios que las obligan
a ser más versátiles manejando grandes volúmenes de datos, que no siempre
se convierten en información relevante para la toma de decisiones. Por ende, el
objetivo de esta investigación es implementar un sistema de información
gerencial para mejorar la gestión administrativa en las micro y pequeñas
empresas. Se desarrolló bajo un enfoque cuantitativo de tipo aplicada y diseño
pre-experimental, con las 5 fases de la metodología "SCRUM"; se utilizó el
lenguaje de programación visual basic en ASP.NET para el desarrollo del código
fuente y Microsft SQL Server 2019 con sus extensiones: Management Studio
para el tratamiento de datos, “Integration Services” para la migración hacia el
nuevo modelo dimensional, Reporting Services para los reportes y Looker Studio
para los dashboard. La implementación de un sistema de información gerencial
basado en un dashboard, permitió a los gerentes obtener información relevante
de manera sencilla, optimizando los tiempos para la toma de decisiones.
Además, permitió realizar comparaciones homogéneas por niveles, lo que facilitó
identificar desviaciones en las metas comerciales; cambios en la productividad,
permitiendo implementar ajustes y mejoras sin errores por procesamiento
manual. Además, permitió la visualización del comportamiento mensual del
sistema financiero, lo que ayudó a las gerencias estructurar estrategias a corto,
mediano y largo plazo; además de la exportación de reportes para el análisis
“offline”. Esto permite reducir los tiempos en la generación de reportes, además
facilita la identificación de oportunidades de mejora en la gestión administrativa
y comercial, específicamente en productividad promedio y tasa de promedio por
asesor
2012-2013 Master Class - Elmar Oliveira (Violin)
https://spiral.lynn.edu/conservatory_masterclasses/1048/thumbnail.jp
2021 The SELA Agenda
The SELA Agenda is a collectively and inclusively drafted report that addresses the impact of COVID-19 in the Southeast Los Angeles (SELA) region by highlighting investment opportunities in eight policy areas: education, environmental justice, economic recovery, healthcare, housing, nonprofit safety net, civic engagement and regional advocacy. The goal is to lay out a COVID-19 recovery plan that prioritizes the SELA region and ensures the region's recovery and future prosperity by bringing SELA's needs to the attention of elected officials, philanthropy, business sector, and community stakeholders.
CA 15-3 is predictive of response and disease recurrence following treatment in locally advanced breast cancer
BACKGROUND: Primary chemotherapy (PC) is used for down-staging locally advanced breast cancer (LABC). CA 15-3 measures the protein product of the MUC1 gene and is the most widely used serum marker in breast cancer. METHODS: We retrospectively investigated the role of CA 15-3 in conjunction with other clinico-pathological variables as a predictor of response and time to disease recurrence following treatment in LABC. Pre and post primary chemotherapy serum concentrations of CA 15-3 together with other variables were reviewed and related to four outcomes following primary chemotherapy (clinical response, pathological response, time to recurrence and time to progression). Persistently elevated CA 15-3 after PC was considered as consecutively high levels above the cut off point during and after PC. RESULTS: 73 patients were included in this study. Patients received PC (AC or AC-T regimen) for locally advanced breast cancer. 54 patients underwent surgery. The median follow up was 790 days. Patients with high concentrations of CA 15-3 before PC treatment had a poor clinical (p = 0.013) and pathological (p = 0.044) response. Together with Her-2/neu expression (p = 0.009) and tumour lympho-vascular space invasion (LVI) (p = 0.001), a persistently elevated CA 15-3 post PC (p = 0.007) was an independent predictive factor of recurrence following treatment in LABC. CONCLUSION: Elevated CA 15-3 level is predictive of a poor response to chemotherapy. In addition, persistently elevated CA 15-3 levels post chemotherapy in conjunction with lympho-vascular invasion and HER2 status predict a reduced disease free survival following treatment in locally advanced breast cancer
Catching Element Formation In The Act
Gamma-ray astronomy explores the most energetic photons in nature to address
some of the most pressing puzzles in contemporary astrophysics. It encompasses
a wide range of objects and phenomena: stars, supernovae, novae, neutron stars,
stellar-mass black holes, nucleosynthesis, the interstellar medium, cosmic rays
and relativistic-particle acceleration, and the evolution of galaxies. MeV
gamma-rays provide a unique probe of nuclear processes in astronomy, directly
measuring radioactive decay, nuclear de-excitation, and positron annihilation.
The substantial information carried by gamma-ray photons allows us to see
deeper into these objects, the bulk of the power is often emitted at gamma-ray
energies, and radioactivity provides a natural physical clock that adds unique
information. New science will be driven by time-domain population studies at
gamma-ray energies. This science is enabled by next-generation gamma-ray
instruments with one to two orders of magnitude better sensitivity, larger sky
coverage, and faster cadence than all previous gamma-ray instruments. This
transformative capability permits: (a) the accurate identification of the
gamma-ray emitting objects and correlations with observations taken at other
wavelengths and with other messengers; (b) construction of new gamma-ray maps
of the Milky Way and other nearby galaxies where extended regions are
distinguished from point sources; and (c) considerable serendipitous science of
scarce events -- nearby neutron star mergers, for example. Advances in
technology push the performance of new gamma-ray instruments to address a wide
set of astrophysical questions.Comment: 14 pages including 3 figure
Lysosomal lipid alterations caused by glucocerebrosidase deficiency promote lysosomal dysfunction, chaperone-mediated-autophagy deficiency, and alpha-synuclein pathology
Mutations in the GBA gene that encodes the lysosomal enzyme β-glucocerebrosidase (GCase) are a major genetic risk factor for Parkinson's disease (PD). In this study, we generated a set of differentiated and stable human dopaminergic cell lines that express the two most prevalent GBA mutations as well as GBA knockout cell lines as a in vitro disease modeling system to study the relationship between mutant GBA and the abnormal accumulation of α-synuclein. We performed a deep analysis of the consequences triggered by the presence of mutant GBA protein and the loss of GCase activity in different cellular compartments, focusing primarily on the lysosomal compartment, and analyzed in detail the lysosomal activity, composition, and integrity. The loss of GCase activity generates extensive lysosomal dysfunction, promoting the loss of activity of other lysosomal enzymes, affecting lysosomal membrane stability, promoting intralysosomal pH changes, and favoring the intralysosomal accumulation of sphingolipids and cholesterol. These local events, occurring only at a subcellular level, lead to an impairment of autophagy pathways, particularly chaperone-mediated autophagy, the main α-synuclein degradative pathway. The findings of this study highlighted the role of lysosomal function and lipid metabolism in PD and allowed us to describe a molecular mechanism to understand how mutations in GBA can contribute to an abnormal accumulation of different α-synuclein neurotoxic species in PD pathology.The authors wish to thank Dr. Arango (VHIR) for the PX461 vector and all the Vila lab members for their support. This work was supported by the Fondo de Investigación Sanitaria-Instituto de Salud Carlos III (Spain)-FEDER (PI17/00496 and PI20/00728), the Michael J. Fox Foundation, the Silverstein Foundation (MJFF 16182), and the BBVA Foundation (NanoERT). M.M. was supported by an FPU doctoral fellowship (FPU18/05595) from MINECO (Spain); J.R. was supported by a PERIS fellowship (Generalitat de Catalunya); E.P. was supported by a VHIR doctoral fellowship (VHIR, Barcelona).Peer reviewe
Positive Selection Results in Frequent Reversible Amino Acid Replacements in the G Protein Gene of Human Respiratory Syncytial Virus
Human respiratory syncytial virus (HRSV) is the major cause of lower respiratory tract infections in children under 5 years of age and the elderly, causing annual disease outbreaks during the fall and winter. Multiple lineages of the HRSVA and HRSVB serotypes co-circulate within a single outbreak and display a strongly temporal pattern of genetic variation, with a replacement of dominant genotypes occurring during consecutive years. In the present study we utilized phylogenetic methods to detect and map sites subject to adaptive evolution in the G protein of HRSVA and HRSVB. A total of 29 and 23 amino acid sites were found to be putatively positively selected in HRSVA and HRSVB, respectively. Several of these sites defined genotypes and lineages within genotypes in both groups, and correlated well with epitopes previously described in group A. Remarkably, 18 of these positively selected tended to revert in time to a previous codon state, producing a “flip-flop” phylogenetic pattern. Such frequent evolutionary reversals in HRSV are indicative of a combination of frequent positive selection, reflecting the changing immune status of the human population, and a limited repertoire of functionally viable amino acids at specific amino acid sites
Functional annotation of human long noncoding RNAs via molecular phenotyping
Long noncoding RNAs (lncRNAs) constitute the majority of transcripts in the mammalian genomes, and yet, their functions remain largely unknown. As part of the FANTOM6 project, we systematically knocked down the expression of 285 lncRNAs in human dermal fibroblasts and quantified cellular growth, morphological changes, and transcriptomic responses using Capped Analysis of Gene Expression (CAGE). Antisense oligonucleotides targeting the same lncRNAs exhibited global concordance, and the molecular phenotype, measured by CAGE, recapitulated the observed cellular phenotypes while providing additional insights on the affected genes and pathways. Here, we disseminate the largest-todate lncRNA knockdown data set with molecular phenotyping (over 1000 CAGE deep-sequencing libraries) for further exploration and highlight functional roles for ZNF213-AS1 and lnc-KHDC3L-2.Peer reviewe
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