Learning Bayesian Networks for Student Modeling

In the last decade, there has been a growing interest in using Bayesian Networks (BN) in the student modelling problem. This increased interest is probably due to the fact that BNs provide a sound methodology for this difficult task. In order to develop a Bayesian student model, it is necessary to define the structure (nodes and links) and the parameters. Usually the structure can be elicited with the help of human experts (teachers), but the difficulty of the problem of parameter specification is widely recognized in this and other domains. In the work presented here we have performed a set of experiments to compare the performance of two Bayesian Student Models, whose parameters have been specified by experts and learnt from data respectively. Results show that both models are able to provide reasonable estimations for knowledge variables in the student model, in spite of the small size of the dataset available for learning the parametersUniversidad de Málaga. Campus de Excelencia Internacional Andalucía Tec

From form to function: m6A methylation links mRNA structure to metabolism

Reversible N6-methyladenosine (m6A) RNA modification is a posttranscriptional epigenetic modification of the RNA that regulates many key aspects of RNA metabolism and function. In this review, we highlight major recent advances in the field, with special emphasis on the potential link between m6A modifications and RNA structure. We will also discuss the role of RNA methylation of neuronal transcripts, and the emerging evidence of a potential role in RNA transport and local translation in dendrites and axons of transcripts involved in synaptic functions and axon growth

"Capital Stock and Unemployment: Searching for the Missing Link"

The purpose of this paper is to examine the proposition that capital stock relative to aggregate output has been an important variable in the determination of the U.S. NAIRU (Non-Accelerating Inflation Rate of Unemployment) over the last four decades. We present new empirical evidence, obtained from the application of the cointegrated VAR methodology to U.S. time-series data, that lends strong support to the claim that the aggregate capital-output ratio, the real price of imports, and aggregate capacity utilization were determinants of the NAIRU in the period considered. The same evidence also shows that technical progress and changes in long-term unemployment did not affect the NAIRU. We believe this evidence suggests that, insofar as the aggregate capital-output ratio is affected by changes in real interest rates, the stance of monetary policy is one determinant of the NAIRU.

Motivación y desempeño del personal en un establecimiento de salud en Lima 2023

En la presente investigación tuvo como objetivo general; determinar la relación que existe entre motivación y desempeño del personal en un establecimiento de salud en Lima 2023, en este estudio se analizó la metodología que fue un tipo básico, enfoque cuantitativo, diseño no experimental de corte transversal correlacional, se basó en una población de 30 profesionales de salud que laboran en un establecimiento de salud de Lima, la muestra fue igual que la población y el muestreo fue no probabilístico ya que no se utilizó un fórmula para poblaciones finitas, en técnicas se utilizó las encuestas y los instrumentos fueron los cuestionarios de los cuales se aplicó para obtener la información correspondiente para pasarlo al SPSS. En los resultados podemos visualizar que en la motivación laboral el 47% se encuentra en un nivel regular, y en el desempeño laboral el 68% es bajo, asimismo en la correlación de las variables el Rho de Spearman fue de 0,537 y la significancia de 0,000, se rechaza Ho. Por tanto, existe relación directa entre la motivación y el desempeño del personal en un establecimiento de salud en Lima 2023 en un grado moderado. Es decir, a mayor motivación del personal contribuirá en un mejor desempeño