Repositorio Digital Universidad Simón Bolívar
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    489 research outputs found

    Financial performance of food and beverage retail companies in Barranquilla – Colombia

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    La dificultad del quiebre empresarial es una cuestión de plena actualidad, debido a que es un problema de permanente interés para un amplio conjunto de agentes económicos y sociales. En ese sentido, el objetivo de este artículo consiste en explicar el desempeño financiero de las empresas del sector minorista de alimentos y bebidas en Barranquilla, Colombia para el año 2016. Metodológicamente, es un estudio explicativo, no experimental y transversal que calculó 17 razones financieras a partir de los estados financieros en el periodo de estudio, a una muestra de siete (7) empresas del sector, seguidamente, se aplicó el análisis discriminante a través del programa estadístico SPSS versión 22. Como resultado, se obtuvo la derivación de funciones discriminantes para el caso de quiebra y no quiebre en las empresas, ambas situaciones empresariales se explicaron y correlacionaron significativamente con los siguientes ratios: Período promedio de pago, margen bruto, rendimiento sobre activos y multiplicador del capital. Se concluyó, que estos indicadores en el sector minorista de alimentos y bebidas en Barranquilla, Colombia, intervienen fuertemente en una posible situación de quiebra y no quiebra de las compañías.The difficulty of business breakdown is a matter of topicality, because it is a problem of permanent interest for a wide range of economic and social agents. In that sense, the objective of this article is to explain the financial performance of companies in the food and beverage retail sector in Barranquilla, Colombia for the year 2016. Methodologically, it is an explanatory, non-experimental and cross-sectional study that calculated 17 financial reasons From the financial statements in the study period, a discriminant analysis was applied to a sample of seven (7) companies in the sector, using the statistical program SPSS version 22. As a result, the derivation of discriminant functions was obtained In the case of bankruptcy and non-bankruptcy in companies, both business situations were explained and correlated significantly with the following ratios: Average payment period, gross margin, return on assets and capital multiplier. It was concluded that these indicators in the food and beverage retail sector in Barranquilla, Colombia, are strongly involved in a possible bankruptcy situation and not bankruptcy of the companies

    Genome Sequence of the Siphoviridae Staphylococcus aureus Phage vB_SauS_BaqSau1

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    Here, we report the genome sequence of a Siphoviridae phage named vB_SauS_BaqSau1 (BaqSau1), infecting Staphylococcus aureus. Phage BaqSau1 was isolated from a sewage water treatment plant in Sahagún, Córdoba, Colombia. It has a double-stranded DNA (dsDNA) genome of 44,384 bp with 67 predicted genes, including a lysin containing a CHAP (cysteine, histidine-dependent amidohydrolase/ peptidase) domain

    Multiple linear regression model applied to the projection of electricity demand in Colombia

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    The exigencies as soon as to competitiveness and productivity have influenced in the energetic consumption and the demand of electrical energy in Colombia, reason why at the present time it is of much interest and utility to have access to tools or valid models to reach greater knowledge in which related to the possible future projections. Next, the results of a quantitative study are presented that through the analysis of data collected between 2007 and 2017 that made possible the construction of a multiple linear regression model to estimate the demand of electric energy. These types of instruments currently originate as alternatives to promote management strategies in the energy field in the country. The final results allow to visualize an estimated figure for the next periods which will serve to contrast with the official results and to generate from this information possible lines of intervention in different organisms

    Entrepreneurial profile in Venezuelan university education

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    El emprendimiento, constituye una alternativa que agrega valor a los objetivos económicos y sociales en el desarrollo de las naciones, a razón de ello el emprendedor se convierte en agente que aporta ideas creativas e innovadoras, con respuestas a las necesidades del entorno, es así como este artículo tiene como objetivo analizar el perfil emprendedor en la formación universitaria venezolana. Metodológicamente, corresponde a un paradigma positivista, tipo de investigación descriptiva, diseño no experimental, transaccional, de campo. Se aplicó una encuesta, mediante cuestionario de 15 ítems, validado por 10 expertos, y confiabilidad por alfa de Cronbach de 0,96, a una población de 30 docentes y 366 alumnos, para un total de 396 sujetos de universidades privadas del estado Zulia, Venezuela. En el análisis, se utilizó la estadística inferencial, encontrando como resultado alta y moderada presencia en los indicadores analizados. Concluyendo que, el perfil del emprendedor en la formación de universidades venezolanas, se caracteriza por mostrar un espíritu emprendedor con valentía, visión, perseverancia, autoconfianza, orientación a los resultados, liderazgo y creatividad, representando sus ideas el motor que dinamiza el desarrollo de la nación, para satisfacer las necesidades de la sociedad, bajo el potencial innovador y oportunidades que agregan valor al sistema productivoEntrepreneurship is an alternative that adds value to the economic and social objectives in the development of nations, because of this the entrepreneur becomes an agent that provides creative and innovative ideas, with answers to the needs of the environment, this is how This article aims to analyze the entrepreneurial profile in Venezuelan university education. Methodologically, it corresponds to a positivist paradigm, type of descriptive research, non-experimental, transactional, field design. A survey was applied, using a 15-item questionnaire, validated by 10 experts, and reliability per Cronbach’s alpha of 0.96, to a population of 30 teachers and 366 students, for a total of 396 subjects from private universities in Zulia state, Venezuela. In the analysis, inferential statistics was used, finding as a result high and moderate presence in the analyzed indicators. Concluding that, the profile of the entrepreneur in the formation of Venezuelan universities, is characterized by showing an entrepreneurial spirit with courage, vision, perseverance, self-confidence, results orientation, leadership and creativity, representing his ideas the engine that stimulates the development of the nation, to meet the needs of society, under the innovative potential and opportunities that add value to the productive syste

    Data mining applied in school dropout prediction

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    In recent years, many studies have emerged about regarding the topic of school failure, showing a growing interest in determining the multiple factors that may influence it [1]. Most of the researches that attempt to solve this issue [2] are focused on determining the factors that most affect the performance of students (dropout and failure) at the different educational levels (basic, middle and higher education) through the use of the large amount of information that current computer equipment allows to store in databases. All these data constitute a real gold mine of valuable information about students. But, identifying and finding useful and hidden information in large databases is a difficult task [3]. A very promising solution to achieve this goal is the use of knowledge mining techniques or data mining in education, which has resulted in so-called Educational Data Mining (EDM) [4]. This new area of research is concerned with the development of methods for exploring data in education, as well as the use of these methods to better understand students and the contexts where they learn [5]

    Evaluation of low-cost alternatives for water purification in the stilt house villages of Santa Marta's Ciénaga Grande

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    Water purification is indispensable to guarantee safe human consumption and to prevent diseases caused by the ingestion of contaminated water. This requires a series of water treatment processes which require investment. However, the economic limitations of rural communities hinder their ability to implement such water-treatment systems, as is the case in Ci enaga Grande of Santa Marta (“Large Swamp”, in English) in Colombia. Low-cost systems can be used instead as simple and safe alternatives. Therefore, the objective of this work was to evaluate non-conventional, low-cost water processes to purify the water from the collection point of two stilt house villages in Ci enaga Grande of Santa Marta. These include: 1) Using two natural coagulants, Moringa Oleifera and Cassia Fistula; 2) filtration through a biosand filter and a carbon activated filter; and 3) disinfection through UV-C Radiation and through solar disinfection. The results showed a turbidity values reduction between 52% and 96% using the two natural coagulants; both turbidity and total coliforms achieved reductions of 98.4% and 76.9%, respectively in the filtration process; and removal of total coliforms up to 98.8% in the disinfection process. Despite the high rates of reduction in the different parameters, the water does not comply with the recommended limits for safe drinking water

    Cluster competitiveness modeling: approach with systems dynamics

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    This study makes a systemic review to cluster and create a competitiveness relationship considering a systems dynamics approach. A dynamic hypothesis was constructed to validate what factors increase a cluster’s level of competitiveness, through causal analysis. Then, the causal diagram that validates the dynamic H0 hypothesis was constructed in Vensim PLE systems®. Literature review shows the evolution of the cluster system according to the current needs of the market, and emphasizes the need for new approaches and models that capture the complexity and dynamics of this system, allowing the understanding of its structure and the evaluation of the contribution of factors and capabilities to cluster competitiveness. It highlights the usefulness of systems dynamics as a simulation methodology for dynamic and complex systems, and establishes itself as a growing line of research applied to various systems of study. Dynamic hypothesis H0 was validated using the causal diagram, reaching the conclusion that innovation, productive management, financial management, organizational management, commercial management, and cluster management factors positively increase the cluster competitiveness level. From structure analysis, the behavior is associated to the archetype “Path Dependence,” usual in growing industrial markets

    Artificial intelligence assisted Mid-infrared laser spectroscopy in situ detection of petroleum in soils

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    A simple, remote-sensed method of detection of traces of petroleum in soil combining artificial intelligence (AI) with mid-infrared (MIR) laser spectroscopy is presented. A portable MIR quantum cascade laser (QCL) was used as an excitation source, making the technique amenable to field applications. The MIR spectral region is more informative and useful than the near IR region for the detection of pollutants in soil. Remote sensing, coupled with a support vector machine (SVM) algorithm, was used to accurately identify the presence/absence of traces of petroleum in soil mixtures. Chemometrics tools such as principal component analysis (PCA), partial least square-discriminant analysis (PLS-DA), and SVM demonstrated the e ectiveness of rapidly di erentiating between di erent soil types and detecting the presence of petroleum traces in di erent soil matrices such as sea sand, red soil, and brown soil. Comparisons between results of PLS-DA and SVM were based on sensitivity, selectivity, and areas under receiver-operator curves (ROC). An innovative statistical analysis method of calculating limits of detection (LOD) and limits of decision (LD) from fits of the probability of detection was developed. Results for QCL/PLS-DA models achieved LOD and LD of 0.2% and 0.01% for petroleum/soil, respectively. The superior performance of QCL/SVM models improved these values to 0.04% and 0.003%, respectively, providing better identification probability of soils contaminated with petroleum

    Parallel algorithm for reduction of data processing time in big data

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    Technological advances have allowed to collect and store large volumes of data over the years. Besides, it is significant that today's applications have high performance and can analyze these large datasets effectively. Today, it remains a challenge for data mining to make its algorithms and applications equally efficient in the need of increasing data size and dimensionality [1]. To achieve this goal, many applications rely on parallelism, because it is an area that allows the reduction of cost depending on the execution time of the algorithms because it takes advantage of the characteristics of current computer architectures to run several processes concurrently [2]. This paper proposes a parallel version of the FuzzyPred algorithm based on the amount of data that can be processed within each of the processing threads, synchronously and independently

    Does mathematical anxiety differ cross-culturally?

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    Mathematics constitutes a foundation in the training of engineering students because their competence in this reasoning will be utilised as a tool for the resolution of real problems when inserted in the productive sector and throughout their professional life. The purpose of this causal comparative research study was to determine the difference in learning math anxiety and math evaluation anxiety for engineering students at two universities with different cultural backgrounds. The sample included 20 engineering students from the south-eastern United States and 88 engineering students from Colombia. The English and Spanish version of the AMAS, which contained nine items was divided into two subscales, used to collect data. A series of two-way factorial ANOVAs were conducted to answer the research questions that are related to cultural background, gender and the interaction effect between cultural group and gender. The results indicated there was a statistically significant difference in learning maths anxiety when comparing the two cultures

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