Determinación de lascondiciones inseguras en el ambiente de trabajo para prevención de factores de riesgos y accidentes en las áreas operativas en la empresa semi industrial granja AVÍCOLA LA REYNA en el departamento de Matagalpa, durante el II semestre del año 2016

En el presente documento, se desarrolló el tema de Seguridad e Higiene Ocupacional y como subtema Determinar la condiciones inseguras en el ambiente de trabajo para prevención de factores de riesgos y accidentes laborales en las áreas operativas en la empresa semi industrial granja AVÍCOLA LA REYNA durante el II semestre del año 2016. En el transcurso de la investigación, se describieron las condiciones actuales en materia de Seguridad del Trabajo e Higiene Industrial, con el propósito de evaluar los tipos de riesgos profesionales y las condiciones de trabajo a las que están expuestas las personas, asimismo conocer las medidas de prevención existentes en la empresa; cabe destacar que la prevención de accidentes y enfermedades profesionales no solo es responsabilidad del trabajador, sino también de los empleadores y por ello es de gran importancia el dar a conocer las normativas de trabajo nacionales e internacionales bajo las cuales deben regirse las organizaciones. Los resultados muestran que la empresa en lo que respecta a Seguridad del trabajo e Higiene Industrial, presenta deficiencias en la infraestructura de la empresa al no cumplir con las disposiciones que establece la Ley 618 en cuanto a las dimensiones con que debe contar un local de trabajo, de igual manera las condiciones de seguridad sobre riesgos de lucha contra incendios, al no poseer un adecuado equipo que pueda resguardar la seguridad en caso de un incidente, existen una faltade señalización de los lugares que puedan generar riesgo

Combining Protein Conformational Diversity and Phylogenetic Information Using CoDNaS and CoDNaS-Q

CoDNaS (http://ufq.unq.edu.ar/codnas/) and CoDNaS-Q (http://ufq.unq.edu.ar/codnasq) are repositories of proteins with different degrees of conformational diversity. Following the ensemble nature of the native state, conformational diversity represents the structural differences between the conformers in the ensemble. Each entry in CoDNaS and CoDNaS-Q contains a redundant collection of experimentally determined conformers obtained under different conditions. These conformers represent snapshots of the protein dynamism. While CoDNaS contains examples of conformational diversity at the tertiary level, a recent development, CoDNaS-Q, contains examples at the quaternary level. In the emerging age of accurate protein structure prediction by machine learning approaches, many questions remain open regarding the characterization of protein dynamism. In this context, most bioinformatics resources take advantage of distinct features derived from protein alignments, however, the complexity and heterogeneity of information makes it difficult to recover reliable biological signatures. Here we present five protocols to explore tertiary and quaternary conformational diversity at the individual protein level as well as for the characterization of the distribution of conformational diversity at the protein family level in a phylogenetic context. These protocols can provide curated protein families with experimentally known conformational diversity, facilitating the exploration of sequence determinants of protein dynamism. © 2023 Wiley Periodicals LLC. Basic Protocol 1: Assessing conformational diversity with CoDNaS. Alternate Protocol 1: Assessing conformational diversity at the quaternary level with CoDNaS-Q. Basic Protocol 2: Exploring conformational diversity in a protein family. Alternate Protocol 2: Exploring quaternary conformational diversity in a protein family. Basic Protocol 3: Representing conformational diversity in a phylogenetic context.Fil: Escobedo, Nahuel Abel. Universidad Nacional de Quilmes; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Monzon, Alexander Miguel. Università di Padova; ItaliaFil: Fornasari, Maria Silvina. Universidad Nacional de Quilmes; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Palopoli, Nicolás. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Quilmes; ArgentinaFil: Parisi, Gustavo Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Quilmes; Argentin

Ensembles from Ordered and Disordered Proteins Reveal Similar Structural Constraints during Evolution

The conformations accessible to proteins are determined by the inter-residue interactions between amino acid residues. During evolution, structural constraints that are required for protein function providing biologically relevant information can exist. Here, we studied the proportion of sites evolving under structural constraints in two very different types of ensembles, those coming from ordered and disordered proteins. Using a structurally constrained model of protein evolution, we found that both types of ensembles show comparable, near 40%, number of positions evolving under structural constraints. Among these sites, ~ 68% are in disordered regions and ~ 57% of them show long-range inter-residue contacts. Also, we found that disordered ensembles are redundant in reference to their structurally constrained evolutionary information and could be described on average with ~ 11 conformers. Despite the different complexity of the studied ensembles and proteins, the similar constraints reveal a comparable level of selective pressure to maintain their biological functions. These results highlight the importance of the evolutionary information to recover meaningful biological information to further characterize conformational ensembles.Fil: Marchetti, Julia. Universidad Nacional de Quilmes. Departamento de Ciencia y Tecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Monzón, Alexander. Universidad Nacional de Quilmes. Departamento de Ciencia y Tecnología; Argentina. Università di Padova; Italia. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Tosatto, Silvio C.E.. Università di Padova; ItaliaFil: Parisi, Gustavo Daniel. Universidad Nacional de Quilmes. Departamento de Ciencia y Tecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Fornasari, Maria Silvina. Universidad Nacional de Quilmes. Departamento de Ciencia y Tecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentin

Campaña de lanzamiento para flying tiger copenhagen en Perú

El presente trabajo busca elaborar una campaña de lanzamiento para el ingreso de cuatro tiendas de la marca Flying Tiger Copenhagen en el Perú. La propuesta se enfoca en una campaña de lanzamiento en medios digitales, ATL y BTL. La campaña busca comunicar la personalidad de la marca que es divertida y minimalista, resaltar los diseños innovadores de los productos creados por la propia marca y la apertura de cuatro grandes tiendas en el país; con el objetivo de lograr conocimiento y recordación de la marca en los primeros tres meses. Primero, desarrollamos la historia y presencia de la marca ya presente internacionalmente, la evolución de su identidad gráfica y el impacto de las tiendas minoristas de bajo costo. Luego, se definió el público objetivo, nuestra propuesta de posicionamiento y el plan de comunicaciones. Este último consta de estrategías para el público objetivo en redes sociales, web, paneles publicitarios, pauta en televisión y activaciones considerando la locación de las tiendas. Las acciones propuestas se detallaron en un cronograma con presupuesto para cada acción de la campaña.The present work seeks to develop a launch campaign for the entry of four stores of the brand Flying Tiger Copenhagen in Peru. The proposal focuses on an advertising campaign that includes digital media, ATL y BTL. The campaign seeks to communicate the personality of the brand that is fun and minimalist, highlighting the innovative product designs created by the brand itself and the opening of four large stores in the country; with the aim of achieving brand awareness and recall in the first three months. First, we develop the history and presence of the brand already present internationally, the evolution of its graphic identity and the impact of low-cost retail stores were analyzed. Then, the target audience, our positioning proposal and the communications plan were defined. The communication plan consists of strategies for the target audience in social networks, web, advertising panels, television advertising and activations considering the location of the stores. The proposed actions were detailed in a schedule with a budget for each campaign action

Elaboración del plan agregado de producción en la empresa de calzado para niños como propuesta de mejora de la productividad de los recursos

En la investigación permitió conocer la administración productiva de la empresa, y así mismo en el desarrollo se buscó saber el mínimo costo de producción, teniendo en consideración las variables que afectan el costo de producción, los principales procesos en la fabricación de un zapato que son: el corte, desbaste, aparado, armado, emplantillado y empaque, donde se aplicaron las técnicas de estudio de tiempo, los tipos de pronósticos de la demanda. El desarrollo del plan agregado, inicialmente se tuvo que conocer la política de trabajo de la empresa, como también la cantidad de personal fijo y personal al destajo, así mismo reconocer la capacidad de producción, tiempo estándar de procesos productivos, los costos de producción, inventarios y otros. De acuerdo con las restricciones y políticas de la empresa se tuvo que desarrollar una política de plan agregado con estrategia de ajuste, la cual se desarrolló a través de del método de programación lineal, la cual tiene como objetivo minimizar el menor costo de la producción, esto se desarrolló utilizando el software de Excel con el complemento de solver.In the research allowed to know the productive management of the company, and also in the development was sought to know the minimum cost of production, taking into account the variables that affect the cost of production, the main processes in the manufacture of a shoe that are: cutting, roughing, assembling, assembling, insole and packing, where time study techniques were applied, the types of demand forecasts. The development of the aggregate plan, initially had to know the work policy of the company, as well as the number of fixed staff and staff on the sidelines, as well as recognizing production capacity, standard time of production processes, production costs, inventories and others. In accordance with the company's restrictions and policies, an aggregate plan policy had to be developed adjustment strategy, which was developed through the linear programming method, which aims to minimize the lower cost this was developed using Excel software with the solver add-i

Revenant: A database of resurrected proteins

Revenant is a database of resurrected proteins coming from extinct organisms. Currently, it contains a manually curated collection of 84 resurrected proteins derived from bibliographic data. Each protein is extensively annotated, including structural, biochemical and biophysical information. Revenant contains a browse capability designed as a timeline from where the different proteins can be accessed. The oldest Revenant entries are between 4200 and 3500 million years ago, while the younger entries are between 8.8 and 6.3 million years ago. These proteins have been resurrected using computational tools called ancestral sequence reconstruction techniques combined with wet-laboratory synthesis and expression. Resurrected proteins are commonly used, with a noticeable increase during the past years, to explore and test different evolutionary hypotheses such as protein stability, to explore the origin of new functions, to get biochemical insights into past metabolisms and to explore specificity and promiscuous behaviour of ancient proteins.Fil: Carletti, Matías Sebastian. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Quilmes. Departamento de Ciencia y Tecnología; ArgentinaFil: Monzon, Alexander. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Quilmes. Departamento de Ciencia y Tecnología; Argentina. Università di Padova; ItaliaFil: Garcia Rios, Emilio. Pontificia Universidad Católica de Perú; PerúFil: Benítez, Guillermo Ignacio. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Quilmes. Departamento de Ciencia y Tecnología; ArgentinaFil: Hirsh, Layla. Pontificia Universidad Católica de Perú; PerúFil: Fornasari, Maria Silvina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Quilmes. Departamento de Ciencia y Tecnología; ArgentinaFil: Parisi, Gustavo Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Quilmes. Departamento de Ciencia y Tecnología; Argentin

Supporting the Identification, Monitoring and Preservation of Government Data Resources: Findings from DataLumos Outreach Efforts

This report documents the findings of “Identification, Monitoring, and Preservation of Government Data Resources”, an 18-month project involving outreach to government data producers, users, and intermediaries. Through this project, the Inter-university Consortium for Political and Social Research (ICPSR) sought to identify stakeholders’ most-used government datasets that they perceive to be potentially less accessible in the future, among other goals. Interviews and less formal interactions with data advocates and intermediaries, government data producers, and a variety of data users provided insights into the use of government data and perceptions of these data’s future accessibility. The most important source of data to these stakeholders is the Census Bureau, and several of its products were identified as being critical to stakeholders’ work. Data from other major statistical agencies, non-statistical federal agencies, and state and local data sources were also cited. The federal government data most used by stakeholders—and specifically the data of greatest importance to AECF-funded work—are perceived as accessible for future use. All of the federal datasets that stakeholders perceived to be potentially at risk were assessed and added to the DataLumos archive. A noteworthy finding from these interactions is that data created or collected by KIDS COUNT grantees, National Neighborhood Indicators Partnership (NNIP) participants, and other data intermediaries may not have a long-term data archiving or sharing plan. The analysts at these organizations spend significant effort gathering, aggregating, and analyzing data for their products, but they generally have no mechanism to archive or share these data. Given the investment in this work and the potential value of these data to community organizations, researchers, and even local and regional government agencies, there is a real opportunity for data intermediaries to store and share these data in a secure manner for the long term. Recommendations based on the project’s findings can be grouped into two major categories: advocacy and data sharing. Data users, intermediaries, and funders should continue to advocate that the Census Bureau and other principal statistical agencies provide access to the data products needed to successfully complete their work. Advocacy is also needed at the state and local levels, with the goals of targeting the creation of transparency laws and sunshine clauses, budget line items for data sharing, and infrastructural investments like open data portals and data application programming interfaces (APIs). Beyond traditional advocacy work, sustained and increased collaboration between government data producers and data users, intermediaries, and advocates is needed. As for data sharing, we recommend that data creators and intermediaries like KIDS COUNT grantees and NNIP partners work with data repositories like ICPSR to make their data available to others now and in the future. The archiving of these data would require both the infrastructure of a secure data repository as well as specialized curation and technical assistance related to sharing these types of data. The creation of an archive for data intermediaries’ data would extend the value of intermediaries’ important work, creating new resources for community members, institutions, and researchers.Annie E. Casey Foundationhttps://deepblue.lib.umich.edu/bitstream/2027.42/148837/1/Supporting the Identification, Monitoring and Preservation of Government Data Resources.pdfDescription of Supporting the Identification, Monitoring and Preservation of Government Data Resources.pdf : Repor

CAFA-evaluator: A Python Tool for Benchmarking Ontological Classification Methods

We present CAFA-evaluator, a powerful Python program designed to evaluate the performance of prediction methods on targets with hierarchical concept dependencies. It generalizes multi-label evaluation to modern ontologies where the prediction targets are drawn from a directed acyclic graph and achieves high efficiency by leveraging matrix computation and topological sorting. The program requirements include a small number of standard Python libraries, making CAFA-evaluator easy to maintain. The code replicates the Critical Assessment of protein Function Annotation (CAFA) benchmarking, which evaluates predictions of the consistent subgraphs in Gene Ontology. Owing to its reliability and accuracy, the organizers have selected CAFA-evaluator as the official CAFA evaluation software.Comment: 5 page

MobiDB: Intrinsically disordered proteins in 2021

The MobiDB database (URL: https://mobidb.org/) provides predictions and annotations for intrinsically disordered proteins. Here, we report recent developments implemented in MobiDB version 4, regarding the database format, with novel types of annotations and an improved update process. The new website includes a re-designed user interface, a more effective search engine and advanced API for programmatic access. The new database schema gives more flexibility for the users, as well as simplifying the maintenance and updates. In addition, the new entry page provides more visualisation tools including customizable feature viewer and graphs of the residue contact maps. MobiDB v4 annotates the binding modes of disordered proteins, whether they undergo disorder-to-order transitions or remain disordered in the bound state. In addition, disordered regions undergoing liquid-liquid phase separation or post-translational modifications are defined. The integrated information is presented in a simplified interface, which enables faster searches and allows large customized datasets to be downloaded in TSV, Fasta or JSON formats. An alternative advanced interface allows users to drill deeper into features of interest. A new statistics page provides information at database and proteome levels. The new MobiDB version presents state-of-the-art knowledge on disordered proteins and improves data accessibility for both computational and experimental users.Fil: Piovesan, Damiano. Università di Padova; ItaliaFil: Necci, Marco. Università di Padova; ItaliaFil: Escobedo, Nahuel Abel. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Quilmes. Departamento de Ciencia y Tecnología; ArgentinaFil: Monzon, Alexander Miguel. Università di Padova; ItaliaFil: Viczián, András. Università di Padova; ItaliaFil: Mičetić, Ivan. Università di Padova; ItaliaFil: Quaglia, Federica. Università di Padova; ItaliaFil: Paladin, Lisanna. Università di Padova; ItaliaFil: Ramasamy, Pathmanaban. Vrije Unviversiteit Brussel; Bélgica. University of Ghent; Bélgica. Interuniversity Institute of Bioinformatics in Brussels; BélgicaFil: Dosztányi, Zsuzsanna. Eötvös Loránd University; HungríaFil: Vranken, Wim F.. Vrije Unviversiteit Brussel; Bélgica. Interuniversity Institute of Bioinformatics in Brussels; BélgicaFil: Davey, Norman E.. The Institute Of Cancer Research; Reino UnidoFil: Parisi, Gustavo Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Quilmes. Departamento de Ciencia y Tecnología; ArgentinaFil: Fuxreiter, Monika. Università di Padova; ItaliaFil: Tosatto, Silvio C. E.. Università di Padova; Itali