This report analyses and interrogates the accountability and transparency regime of the European Union’s border agency Frontex. Frontex was established as a European Union agency in the field of border, migration and asylum policies in 2004 and began operating in 2005. Over the last 15 years, the mandate of the agency, originally tasked with coordinating the operational management of the European Union’s external border through support to the EU’s member states, has expanded significantly. Through a series of reforms, most notably in 2007, and 2016 and 2019, the agency has become a pivotal actor in what is referred to as ‘European Integrated Border Management’. Since the creation of the agency and its first operations, there has been significant concern, both from the European Parliament as well as NGOs and other civil society organisations that the executive mandate of the agency has not been counterbalanced by effective mechanisms for accountability, particularly with respect to fundamental rights. To an extent, the Frontex monitoring and accountability regime has improved since 2011 through legislative change, thus strengthening the above mechanisms. The findings of the report however show that despite the continued expansion and strengthening of monitoring and accountability mechanisms since 2016, these efforts have again not resulted in an effective system for monitoring, investigating, addressing, and preventing fundamental rights violations at Europe’s external borders.

LA GRAMMATICA DELLA LETTURATURA TRA INNOVAZIONE ED EMULAZIONE, UNIVERSITÀ DEGLI STUDI DELLA BASILICATA

DANIA MARIA HERNANDEZ PELAYO , con la personalidad que tengo reconocida en autos del Juicio Ordinario Civil 1600/2017 del índice de este H. Tribunal, a su digno y merecido cargo, señalando como domicilio para oír y recibir toda clase de notificaciones en el despacho ubicado en la calle Martinica numero 19 colonia las Antillas en la Ciudad de Veracruz, Veracruz, autorizando para tales efectos en términos de las disposiciones establecidas en el artículo 89 del Código Procesal Civil vigente en el Estado, a los LICS. SARAI CANO CRUZ, XIMENA DEL ROCIO GOYTIA BALTAZAR, SARAHI RAMIREZ LOPEZ Y ESTEBAN DE JESUS BECERRA GUTIERREZ, indistintamente ante Usted con el debido respeto comparezco para exponer: Que vengo por medio del presente escrito en tiempo y forma legal A DAR CONTESTACIÓN A LA TEMERARIA E INFUNDADA DEMANDA, instaurada en mi contra por el C. SALVADOR ROQUE FUENTES por su propio derecho en supuesta representación de nuestra menor hija BRITTANY ROQUE HERNANDEZ, negándola en todas sus partes por la improcedencia de la acción intentada, oscuridad y falsedad en los hechos de la demanda, así como todas aquellas que se desprendan de la redacción de mi contestación, aun cuando no se expresen sus nombres o se expresaren equivocadamente, con base a lo que dispone el artículo 27 del Código Procesal Civil Vigente en el Estado. Oponiendo desde este momento las siguientes EXCEPCIONES: I. FALTA DE PERSONALIDAD.-La cual consiste en que no se acredita la personalidad de la parte actora en atención a que no proporciona los elementos legales necesarios que hagan suponer su supuesto derecho como TUTOR de mi menor hija de nombre ya mencionado. II. FALTA DE ACCION Y DE DERECHO (SINE ACTIO AGIS).-Toda vez que esta excepción se encuentra en virtud de la propia falta de personalidad de la actora, pues repito legalmente NO ES TUTOR DE MI MENOR HIJA, y por lo tanto al carecer de la personalidad jurídica para representarla su acción no tiene sustento ni derecho alguno para ejercitarse.

"Due to the global financial crisis, credit on international markets became more restricted for banks, turning attention to internal clients and their deposits to gather funds. This driver led to a demand for knowledge about client’s behavior towards deposits and especially their response to telemarketing campaigns. This work describes a data mining approach to extract valuable knowledge from recent Portuguese bank telemarketing campaign data. Such approach was guided by the CRISP-DM methodology and the data analysis was conducted using the rminer package and R tool. Three classification models were tested (i.e., Decision Trees, Naïve Bayes and Support Vector Machines) and compared using two relevant criteria: ROC and Lift curve analysis. Overall, the Support Vector Machine obtained the best results and a sensitive analysis was applied to extract useful knowledge from this model, such as the best months for contacts and the influence of the last campaign result and having or not a mortgage credit on a successful deposit subscription."

This article is part of a broader study on the figurative meanings of the ethnonym bulgaro in the Italian language. The attention is focused on two examples in which forms of the word volgare (≈ popular < volgo ≈ people) sound like bolgare (bolgarmente, in the latter case) due to a v>b mutation. These examples, drawn from Tesoro della Lingua Italiana delle Origini (Historical Dictionary of Old Italian) (current online edition) make the author question the extent to which some of the examples mentioned in § II of the dictionary entry Bulgarus/*bulgerus in the authoritative Lessico etimologico italiano (vol. VII/71, Wiesbaden 2002) relate to the Bulgarian ethnonym.