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Background Within evidence-based practice (EBP), systematic reviews (SR) are considered the highest level of evidence in that they summarize the best available research and describe the progress in a determined field. Due its methodology, SR require significant time and resources to be performed; they also require repetitive steps that may introduce biases and human errors. Machine learning (ML) algorithms therefore present a promising alternative and a potential game changer to speed up and automate the SR process. This review aims to map the current availability of computational tools that use ML techniques to assist in the performance of SR, and to support authors in the selection of the right software for the performance of evidence synthesis. Methods The mapping review was based on comprehensive searches in electronic databases and software repositories to obtain relevant literature and records, followed by screening for eligibility based on titles, abstracts, and full text by two reviewers. The data extraction consisted of listing and extracting the name and basic characteristics of the included tools, for example a tool’s applicability to the various SR stages, pricing options, open-source availability, and type of software. These tools were classified and graphically represented to facilitate the description of our findings. Results A total of 9653 studies and 585 records were obtained from the structured searches performed on selected bibliometric databases and software repositories respectively. After screening, a total of 119 descriptions from publications and records allowed us to identify 63 tools that assist the SR process using ML techniques. Conclusions This review provides a high-quality map of currently available ML software to assist the performance of SR. ML algorithms are arguably one of the best techniques at present for the automation of SR. The most promising tools were easily accessible and included a high number of user-friendly features permitting the automation of SR and other kinds of evidence synthesis reviews.

Biological circadian rhythms in living organisms are regulated by molecular clocks. Several of these clocks are present in blood vessels, peripheral tissues, and immune cells. There is strong evidence linking dysregulation of circadian rhythms to the development of cardiovascular disease. Dysregulation of circadian rhythms is believed to activate inflammatory processes at specific times of day, leading to an increased risk of thrombosis and atherosclerosis progression. Research into circadian clock genes and molecular networks has the potential to identify therapeutic targets to reduce cardiovascular risk. In this review, we summarize the evidence linking circadian rhythms to thrombosis and atherothrombotic events and discuss potential therapeutic implications. This research received no external funding. Sí

El objetivo de esta tesis es realizar un análisis en profundidad sobre las repercusiones de las fusiones bancarias en las políticas y acciones de los recursos humanos, a través del estudio del caso especial de la fusión llevada a cabo a finales de 1999 entre el Banco Bilbao Vizcaya y Argentaria. En primer lugar se hace un planteamiento teórico de las estrategias de fusión, incidiendo en sus motivos, sus efectos y en particular en sus efectos en las políticas de los recursos humanos. Posteriormente se avanza en analizar la estructura del sistema financiero español y los cambios producidos en estos últimos años, que han sido convulsos por la crisis global que ha hecho prácticamente desaparecer las cajas de ahorros y ha producido un gran número de fusiones y adquisiciones bancarias; y donde se hace un análisis de cómo ha quedado el nuevo mapa financiero español y las repercusiones que ha tenido a nivel global en los recursos humanos. En la parte empírica se ha estudiado la fusión de BBV y Argentaria, una vez transcurridos más de diez años desde que se produjo dicha fusión, parece un tiempo a la vez que suficiente, prudente, para poder realizar su estudio de manera objetiva y para estudiar la evolución y maduración de la misma, analizando tanto sus efectos económicos como las repercusiones a nivel organizativo y especialmente en los recursos humanos, analizando los efectos que tuvo esta fusión en el empleo, en la productividad, en la eficiencia y en su estructura directiva. La principal conclusión a destacar ha sido que se trató de una fusión atípica, donde se incrementaron significativamente las ratios de productividad y eficiencia tras la fusión, catalogada por el departamento de Recursos Humanos como de guante blanco, ya que aunque afectó negativamente al número de empleados, no existieron medidas traumáticas entre la plantilla ni tampoco entre los directivos, sino que fueron de mutuo acuerdo. The present thesis aims to analyze which are the effects of bank mergers on Human resources. Therefor this work plays special attention to the case of the merger between Banco Bilbao Vizcaya (BBV) and Argentaria occurred in 1999. Firstly, the current thesis begins with a theoretical framework section on merger strategies, its motivations and in particular its effects regarding Human resources policies. Later, a deep analysis on the current situation on Spanish financial system taking into account the changes occurred in the last years of crisis is performed; highlighting the almost disappearance of Spanish saving banks which has caused a huge number of mergers. Within this section the state of the art is described through the draw of the Spanish financial system new map and the mergers effects on Human resources. The empirical section was studied on the case of BBV-Argentaria merger. Having passed more than ten years after the merger occurred, it seems that such period of time is sufficient enough to allow us to analyze that particular case in an objective way and with the level prudence it requires. Within the section, its evolution and maturation are studied though the analysis of its economic and organizational effects. In this sense, a special attention is given to the effects of the merger on human resources regarding the employment level, the productivity, the level of effectiveness achieved as well as the board structure. Finally, the thesis’ main conclusion is that the case analyzed supposes an atypical merger in which the productivity and effectiveness ratios raise significantly after the merger process. This merger was told to be “a white glove merger”, as traumatic measures were not implemented among the staff or the managers and all the options came from a mutual agreement.

En este articulo se presentan y contrastan, de acuerdo tanto a la suma de los cuadrados de los residuos como a la existencia de puntos atípicos, en los modelos lineales que están disponibles en las calculadoras Texas Instruments TI-82 y TI-83. Al mismo tiempo se demuestra la facilidad con que algunos de los cálculos tradicionales relacionados pueden llevarse a cabo, cuando por razones de tipo pedagógico se estime conveniente.