1,721,139 research outputs found
Posttraumatic nonunion of the clavicle in a 7-year-old girl
No full textAn unusual case is reported of posttraumatic nonunion of the clavicle in a 7-year-old girl, which was treated by surgical stabilization with a Kirschner wire and apposition of cancellous bone chips taken from the proximal right tibial metaphysis. At clinical examination 2 years after surgery, the patient was symptom-free, and she had a full range of motion of the shoulder. Radiographs showed a very good remodeling of the bone, with only a minimal difference between the two clavicles
Leadless technology: A new paradigm for cardiac pacing?
No full textLeadless pacemaker (LP) technology was recently developed and introduced for clinical purpose as an alternative to traditional systems in order to reduce leads and pocket-related complications. Currently, two self-contained right ventricular pacemakers implanted by using a femoral percutaneous approach have been developed and initial results seem promising. Although the clinical use is still limited to the right ventricular pacing, the LP currently represents a valid and alternative solution in several settings, when the standard pacemaker cannot be used or its use is associated with higher risk of complications. Implementation of particular pacing algorithms in the near future will allow for a VDD pacing mode with only a single ventricular component, whereas the next evolution of technology will lead to develop multicomponent, communicating leadless systems capable to perform a dual-chamber pacing or even a cardiac resynchronization. The management after battery depletion is still controversial and experience on retrievability is anecdotic. Long term data from registry are necessary to reinforce the reliability of these systems in the real life and randomized trials comparing LPs with traditional pacemaker will be essential to better understand if the LP can become a new paradigm in cardiac pacing
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Hybrid treatment of a huge complex aortic pseudo-aneurysm subsequent to a coarctation
No full textEndovascular treatment of pseudo-aneurysms subsequent to a pre-existing aortic coarctation is becoming a well-accepted technical solution especially in patients presenting anatomical challenges involving the aortic arch. We report the case of a 65-year-old woman with a huge pseudo-aneurysm of the descending thoracic aorta. Diagnostic imaging assessment documented also the presence of an aneurysmatic aberrant right subclavian artery. Due to patient's anatomical arterial condition, we decided to treat the aneurysm applying a hybrid approach
Intrusion detection for in-vehicle communication networks: An unsupervised kohonen SOM approach
Full text linkThe diffusion of embedded and portable communication devices on modern vehicles entails new security risks since in-vehicle communication protocols are still insecure and vulnerable to attacks. Increasing interest is being given to the implementation of automotive cybersecurity systems. In this work we propose an efficient and high-performing intrusion detection system based on an unsupervised Kohonen Self-Organizing Map (SOM) network, to identify attack messages sent on a Controller Area Network (CAN) bus. The SOM network found a wide range of applications in intrusion detection because of its features of high detection rate, short training time, and high versatility. We propose to extend the SOM network to intrusion detection on in-vehicle CAN buses. Many hybrid approaches were proposed to combine the SOM network with other clustering methods, such as the k-means algorithm, in order to improve the accuracy of the model. We introduced a novel distance-based procedure to integrate the SOM network with the K-means algorithm and compared it with the traditional procedure. The models were tested on a car hacking dataset concerning traffic data messages sent on a CAN bus, characterized by a large volume of traffic with a low number of features and highly imbalanced data distribution. The experimentation showed that the proposed method greatly improved detection accuracy over the traditional approach
ADHD (Attention Deficit Hyperactivity Disorder): a neuropsychiatric syndrome that's worthy of attention.
No full textTranslating Privacy Design Principles Into Human-Centered Software Lifecycle: A Literature Review
Full text linkCompanies and organizations involved in software development are stimulated and often obliged to consider procedures and technical solutions to guarantee data privacy and protection from the early phases of the software lifecycle. In addition, by default, personal data might be processed with the highest privacy protection level. These two requirements are Privacy by Design and Privacy by Default principles. Their importance has grown quickly in the last few years, as demonstrated by data protection regulations, like GDPR and PIPEDA, which include them as an important part of some of their articles. However, such regulations do not provide any practical or concrete indications of software requirements, and developers often lack adequate knowledge to understand the privacy prescriptions expressed in legal language. This study addresses these limitations by presenting a systematic and rigorous literature review that aims to answer the following research questions: (RQ1) How do Privacy-By-Design and Privacy-By-Default principles translate into software requirements? and (RQ2) How Privacy-By-Design and Privacy-By-Default principles integrate into a Human-Centred Design process? For RQ1, the analysis of the resulting publications led to identifying several software requirements and business processes organized along 8 data-oriented and process-oriented privacy design strategies. For RQ2, the analysis of the retrieved publications provided a comprehensive view of the HCI methodologies adopted to comply with privacy requirements identified current shortcomings, and proposed future research directions. The results have been distilled into an initial framework that may aid the development of software that must comply with such principles and aims to integrate them into an HCD process
A Kohonen SOM Architecture for Intrusion Detection on In-Vehicle Communication Networks
Full text linkThe diffusion of connected devices in modern vehicles involves a lack in security of the in-vehicle communication networks such as the controller area network (CAN) bus. The CAN bus protocol does not provide security systems to counter cyber and physical attacks. Thus, an intrusion-detection system to identify attacks and anomalies on the CAN bus is desirable. In the present work, we propose a distance-based intrusion-detection network aimed at identifying attack messages injected on a CAN bus using a Kohonen self-organizing map (SOM) network. It is a power classifier that can be trained both as supervised and unsupervised learning. SOM found broad application in security issues, but was never performed on in-vehicle communication networks. We performed two approaches, first using a supervised X-Y fused Kohonen network (XYF) and then combining the XYF network with a K-means clustering algorithm (XYF-K) in order to improve the efficiency of the network. The models were tested on an open source dataset concerning data messages sent on a CAN bus 2.0B and containing large traffic volume with a low number of features and more than 2000 different attack types, sent totally at random. Despite the complex structure of the CAN bus dataset, the proposed architectures showed a high performance in the accuracy of the detection of attack messages
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