Propuesta de mejora en el Proceso de Incorporación de Personal en una Empresa Metalmecánica en Lima-Perú

La efectiva incorporación de nuevos empleados es un proceso crítico para el éxito en las organizaciones, especialmente en el sector metalmecánico, donde la precisión y la seguridad son fundamentales. Este estudio se focaliza en la identificación y propuesta de mejora en el proceso de incorporación de personal en una empresa metalmecánica. Mediante entrevistas a empleados actuales, se recogió percepciones sobre el proceso de incorporación actual, revelando áreas de mejora significativas. Los principales desafíos identificados encontrados son la falta de un programa de incorporación estructurado, herramientas insuficientes y la ausencia de un proceso de inducción adecuados. La propuesta de mejora consiste en la implementación de un área de incorporación (reclutamiento y selección) que permita identificar candidatos potenciales que se ajusten a los objetivos organizacionales. Además, se sugiere establecer un sistema ágil de inducción para facilitar la adaptación de los nuevos empleados y la transferencia de conocimientos. Se espera que la implementación de esta alternativa reduzca costos de contratación, rotación de personal, reducción en los tiempos de adaptación, un aumento en la productividad y una disminución de los incidentes de trabajo. Esto, a su vez, contribuirá a la competitividad y la eficiencia de la empresa metalmecánica. Esta propuesta no solo beneficia a la empresa en cuestión, sino que también ofrece un modelo valioso para la mejora del proceso de incorporación en empresas similares del sector, enfatizando la importancia de una transición efectiva y segura para los nuevos empleados en la industria metalmecánica, así como la sostenibilidad del negocio en el largo plazo.​The effective onboarding of new employees is a critical process for success in organizations, especially in the metal mechanics sector, where precision and safety are fundamental. This study focuses on identifying and proposing improvements in the onboarding process in a metal mechanics company. ​Through interviews with current employees, perceptions of the current onboarding process were gathered, revealing significant areas for improvement. The main challenges identified include the lack of a structured onboarding program, insufficient tools, and the absence of suitable induction processes. ​The improvement proposal involves the implementation of an onboarding department (recruitment and selection) aimed at identifying potential candidates that align with organizational objectives. Additionally, it is suggested to establish an efficient induction system to facilitate the adaptation of new employees and knowledge transfer. It is expected that the implementation of this alternative will reduce hiring costs, staff turnover, decrease adaptation times, increase productivity, and reduce workplace incidents. This, in turn, will contribute to the competitiveness and efficiency of the metal mechanic company. ​This proposal benefits not only the company at hand but also offers a valuable model for improving the onboarding process in similar sector companies, emphasizing the importance of an effective and safe transition for new employees in the metal mechanics industry, as well as the long-term sustainability of the business.Trabajo de Suficiencia Profesiona

Analysis of 17,576 Potentially Functional SNPs in Three Case–Control Studies of Myocardial Infarction

Myocardial infarction (MI) is a common complex disease with a genetic component. While several single nucleotide polymorphisms (SNPs) have been reported to be associated with risk of MI, they do not fully explain the observed genetic component of MI. We have been investigating the association between MI and SNPs that are located in genes and have the potential to affect gene function or expression. We have previously published studies that tested about 12,000 SNPs for association with risk of MI, early-onset MI, or coronary stenosis. In the current study we tested 17,576 SNPs that could affect gene function or expression. In order to use genotyping resources efficiently, we staged the testing of these SNPs in three case–control studies of MI. In the first study (762 cases, 857 controls) we tested 17,576 SNPs and found 1,949 SNPs that were associated with MI (P<0.05). We tested these 1,949 SNPs in a second study (579 cases and 1159 controls) and found that 24 SNPs were associated with MI (1-sided P<0.05) and had the same risk alleles in the first and second study. Finally, we tested these 24 SNPs in a third study (475 cases and 619 controls) and found that 5 SNPs in 4 genes (ENO1, FXN (2 SNPs), HLA-DPB2, and LPA) were associated with MI in the third study (1-sided P<0.05), and had the same risk alleles in all three studies. The false discovery rate for this group of 5 SNPs was 0.23. Thus, we have identified 5 SNPs that merit further examination for their potential association with MI. One of these SNPs (in LPA), has been previously shown to be associated with risk of cardiovascular disease in other studies

Relación entre el flujo de SO2 y la actividad eruptiva del volcán Ubinas durante el año 2015

El volcán Ubinas es el volcán más activo del Perú, con 2 procesos eruptivos en los últimos 10 años, caracterizados por presentar explosiones con emisión de bombas y gran cantidad de ceniza que afectó a las 3000 personas que viven en los poblados aledaños (Mariño et al., 2011; Rivera et al., 2011). A finales del 2014 se instaló un escáner DOAS en la primera estación de medición de gases volcánicos en el Peru como parte de la red NOVAC (Network for Observation of Volcanic and Atmospheric Change), dicha estación está ubicada en el poblado de Ubinas a 6 km al Sureste del cráter del volcán Ubinas. El objetivo principal de este equipo es medir los flujos de dióxido de azufre (SO2) que son emitidos por el cráter desde el interior del volcán hacia la atmosfera. El presente trabajo muestra los resultados de las mediciones de los flujos de SO2, en relación a la actividad eruptiva registrada durante el año 2015

NIBBS-Search for Fast and Accurate Prediction of Phenotype-Biased Metabolic Systems

Understanding of genotype-phenotype associations is important not only for furthering our knowledge on internal cellular processes, but also essential for providing the foundation necessary for genetic engineering of microorganisms for industrial use (e.g., production of bioenergy or biofuels). However, genotype-phenotype associations alone do not provide enough information to alter an organism's genome to either suppress or exhibit a phenotype. It is important to look at the phenotype-related genes in the context of the genome-scale network to understand how the genes interact with other genes in the organism. Identification of metabolic subsystems involved in the expression of the phenotype is one way of placing the phenotype-related genes in the context of the entire network. A metabolic system refers to a metabolic network subgraph; nodes are compounds and edges labels are the enzymes that catalyze the reaction. The metabolic subsystem could be part of a single metabolic pathway or span parts of multiple pathways. Arguably, comparative genome-scale metabolic network analysis is a promising strategy to identify these phenotype-related metabolic subsystems. Network Instance-Based Biased Subgraph Search (NIBBS) is a graph-theoretic method for genome-scale metabolic network comparative analysis that can identify metabolic systems that are statistically biased toward phenotype-expressing organismal networks. We set up experiments with target phenotypes like hydrogen production, TCA expression, and acid-tolerance. We show via extensive literature search that some of the resulting metabolic subsystems are indeed phenotype-related and formulate hypotheses for other systems in terms of their role in phenotype expression. NIBBS is also orders of magnitude faster than MULE, one of the most efficient maximal frequent subgraph mining algorithms that could be adjusted for this problem. Also, the set of phenotype-biased metabolic systems output by NIBBS comes very close to the set of phenotype-biased subgraphs output by an exact maximally-biased subgraph enumeration algorithm ( MBS-Enum ). The code (NIBBS and the module to visualize the identified subsystems) is available at http://freescience.org/cs/NIBBS

Utilization of mechanical power and associations with clinical outcomes in brain injured patients: a secondary analysis of the extubation strategies in neuro-intensive care unit patients and associations with outcome (ENIO) trial

Background: There is insufficient evidence to guide ventilatory targets in acute brain injury (ABI). Recent studies have shown associations between mechanical power (MP) and mortality in critical care populations. We aimed to describe MP in ventilated patients with ABI, and evaluate associations between MP and clinical outcomes. Methods: In this preplanned, secondary analysis of a prospective, multi-center, observational cohort study (ENIO, NCT03400904), we included adult patients with ABI (Glasgow Coma Scale ≤ 12 before intubation) who required mechanical ventilation (MV) ≥ 24&nbsp;h. Using multivariable log binomial regressions, we separately assessed associations between MP on hospital day (HD)1, HD3, HD7 and clinical outcomes: hospital mortality, need for reintubation, tracheostomy placement, and development of acute respiratory distress syndrome (ARDS). Results: We included 1217 patients (mean age 51.2&nbsp;years [SD 18.1], 66% male, mean body mass index [BMI] 26.3 [SD 5.18]) hospitalized at 62 intensive care units in 18 countries. Hospital mortality was 11% (n = 139), 44% (n = 536) were extubated by HD7 of which 20% (107/536) required reintubation, 28% (n = 340) underwent tracheostomy placement, and 9% (n = 114) developed ARDS. The median MP on HD1, HD3, and HD7 was 11.9&nbsp;J/min [IQR 9.2-15.1], 13&nbsp;J/min [IQR 10-17], and 14&nbsp;J/min [IQR 11-20], respectively. MP was overall higher in patients with ARDS, especially those with higher ARDS severity. After controlling for same-day pressure of arterial oxygen/fraction of inspired oxygen (P/F ratio), BMI, and neurological severity, MP at HD1, HD3, and HD7 was independently associated with hospital mortality, reintubation and tracheostomy placement. The adjusted relative risk (aRR) was greater at higher MP, and strongest for: mortality on HD1 (compared to the HD1 median MP 11.9&nbsp;J/min, aRR at 17&nbsp;J/min was 1.22, 95% CI 1.14-1.30) and HD3 (1.38, 95% CI 1.23-1.53), reintubation on HD1 (1.64; 95% CI 1.57-1.72), and tracheostomy on HD7 (1.53; 95%CI 1.18-1.99). MP was associated with the development of moderate-severe ARDS on HD1 (2.07; 95% CI 1.56-2.78) and HD3 (1.76; 95% CI 1.41-2.22). Conclusions: Exposure to high MP during the first week of MV is associated with poor clinical outcomes in ABI, independent of P/F ratio and neurological severity. Potential benefits of optimizing ventilator settings to limit MP warrant further investigation

Finishing the euchromatic sequence of the human genome

The sequence of the human genome encodes the genetic instructions for human physiology, as well as rich information about human evolution. In 2001, the International Human Genome Sequencing Consortium reported a draft sequence of the euchromatic portion of the human genome. Since then, the international collaboration has worked to convert this draft into a genome sequence with high accuracy and nearly complete coverage. Here, we report the result of this finishing process. The current genome sequence (Build 35) contains 2.85 billion nucleotides interrupted by only 341 gaps. It covers ∼99% of the euchromatic genome and is accurate to an error rate of ∼1 event per 100,000 bases. Many of the remaining euchromatic gaps are associated with segmental duplications and will require focused work with new methods. The near-complete sequence, the first for a vertebrate, greatly improves the precision of biological analyses of the human genome including studies of gene number, birth and death. Notably, the human enome seems to encode only 20,000-25,000 protein-coding genes. The genome sequence reported here should serve as a firm foundation for biomedical research in the decades ahead