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Background: The TENACITy EU-funded project investigates the multifaceted challenges surrounding the utilisation of Passenger Name Record (PNR) data following the implementation of the PNR Directive (EU) 2016/681, which marks a significant shift in EU air travel intelligence.
Methods: This study employed a combination of research and survey methodologies to gather data from various stakeholders involved in the implementation of the PNR Directive. The survey focused on identifying the key obstacles faced by Passenger Information Units (PIUs), including the absence of standardised practices and issues of data quality.
Results: The findings highlight two primary obstacles confronting PIUs: the lack of standardised practices among stakeholders and the poor quality of PNR data. Additionally, fragmented implementation and certain regulatory barriers were identified as factors that present challenges to the optimal utilisation of PNR data for counterterrorism and crime prevention efforts.
Conclusions: Addressing these challenges requires nuanced solutions, with technological tools presenting potential remedies to operational constraints. There is a collective call for mandating specific data elements to enhance the effectiveness of PNR data utilisation. This paper provides insights and recommendations to enhance PIUs' capabilities, contributing to the ongoing discourse on EU travel intelligence.
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http://dx.doi.org/10.12688/openreseurope.18037.2 | DOI Listing |
Open Res Eur
May 2025
P.Kanellopoulou Str.4, KEMEA, Center for Security Studies, Athens, 10177, Greece.
Background: The TENACITy EU-funded project investigates the multifaceted challenges surrounding the utilisation of Passenger Name Record (PNR) data following the implementation of the PNR Directive (EU) 2016/681, which marks a significant shift in EU air travel intelligence.
Methods: This study employed a combination of research and survey methodologies to gather data from various stakeholders involved in the implementation of the PNR Directive. The survey focused on identifying the key obstacles faced by Passenger Information Units (PIUs), including the absence of standardised practices and issues of data quality.
Front Mol Biosci
August 2025
Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, China.
Background: Hepatocellular carcinoma (HCC) remains a global health challenge, with early-stage resection offering the best chance for improved outcomes. However, limitations of the TNM staging system highlight the need for additional prognostic tools. This study evaluates the prognostic value of preoperative serum inflammatory markers in patients with stage I/II HCC undergoing surgical resection.
View Article and Find Full Text PDFMedicina (Kaunas)
August 2025
First Department of Internal Medicine, Sismanogleio General Hospital, 15126 Athens, Greece.
: infection (CDI) poses a major public health problem worldwide. : In this retrospective study, we included 274 patients with CDI, who were hospitalized in Internal Medicine Departments in Evangelismos General Hospital in Athens, Greece, during the past decade. Demographic, clinical and laboratory parameters of the patients were recorded.
View Article and Find Full Text PDFVaccine
August 2025
London School of Hygiene and Tropical Medicine, London, United Kingdom.
Despite evidence that maternal vaccines can contribute to reduction of neonatal infections, vaccine hesitancy is a challenge in many low- and middle-income countries like Uganda. We conducted in-depth interviews with pregnant women and focus group discussions with breastfeeding women who were part of a Group B Streptococcus (GBS) clinical trial. We explored the women's concerns about vaccination and their reasons for being hesitant to take vaccines before they joined the trial.
View Article and Find Full Text PDFSensors (Basel)
July 2025
Department of Medical, Surgical Sciences and Advanced Technologies "G.F. Ingrassia" (DGFI), University of Catania, 95123 Catania, Italy.
Postural instability is one of the main critical aspects to be monitored in the case of degenerative diseases, and is also a predictor of potential falls. This paper presents a multi-layer perceptron approach for the classification of four different classes of postural behaviors that is implemented by an embedded sensing architecture. The robustness of the methodology against noisy data and the effects of using different sets of classification features have been investigated.
View Article and Find Full Text PDF