Trust and quality computation for cyber threat intelligence sharing platforms

Information sharing has been considered a critical solution against the ever-increasing complexity of cyber-attacks. In this effort Cyber Threat Intelligence is undergoing a process of increasing its maturity levels. The quantification of the quality of shared information and the assessment of trust amongst information sharing entities is an important part of the process. The Trust and Quality Tool has been designed as a tool with the aim of improving the trust in the relevancy of shared information by enabling an option to assess its trustworthiness and defining a set of metrics for trust and quality

Urinary Metabolomics From a Dose-Fractionated Polymyxin B Rat Model of Acute Kidney Injury

Background: Polymyxin B treatment is limited by kidney injury. This study sought to identify Polymyxin B-related urinary metabolomic profile modifications for early detection of polymyxin-associated nephrotoxicity. Methods: Samples were obtained from a previously conducted study. Male Sprague-Dawley rats received dose-fractionated polymyxin B (12 mg/kg/day) once daily (QD), twice daily (BID), and thrice daily (TID) for three days, with urinary biomarkers and kidney histopathology scores determined. Daily urine was analysed for metabolites via 1H nuclear magnetic resonance (NMR). Principal components analyses identified spectral data trends with orthogonal partial least square discriminant analysis applied to classify metabolic differences. Metabolomes were compared across groups (i.e., those receiving QD, BID, TID, and control) using a mixed-effects models. Spearman correlation was performed for injury biomarkers and the metabolome. Results: A total of 25 rats were treated with Polymyxin B, and n = 2 received saline, contributing 77 urinary samples. Pre-dosing samples clustered well, characterised by higher amounts of citrate, 2-oxoglutarate, and hippurate. Day 1 samples showed higher taurine; day 3 samples had higher lactate, acetate and creatine. Taurine was the only metabolite that significantly increased in both BID and TID compared with the QD group. Day 1 taurine correlated with increasing histopathology scores (rho = 0.4167, P = 0.038) and kidney injury molecule-1 (KIM-1) (rho = 0.4052, P = 0.036), whereas KIM-1 on day 1 and day 3 did not reach significance with histopathology (rho = 0.3248, P = 0.11 and rho = 0.3739, P = 0.066). Conclusions: Polymyxin B causes increased amounts of urinary taurine on day 1, which then normalizes to baseline concentrations. Taurine may provide one of the earlier signals of acute kidney damage caused by polymyxin B

Using Simulation to Assess the Opportunities of Dynamic Waste Collection

In this paper, we illustrate the use of discrete event simulation to evaluate how dynamic planning methodologies can be best applied for the collection of waste from underground containers. We present a case study that took place at the waste collection company Twente Milieu, located in The Netherlands. Even though the underground containers are already equipped with motion sensors, the planning of container emptying’s is still based on static cyclic schedules. It is expected that the use of a dynamic planning methodology, that employs sensor information, will result in a more efficient collection process with respect to customer satisfaction, profits, and CO2 emissions. In this research we use simulation to (i) evaluate the current planning methodology, (ii) evaluate various dynamic planning possibilities, (iii) quantify the benefits of switching to a dynamic collection process, and (iv) quantify the benefits of investing in fill‐level sensors. After simulating all scenarios, we conclude that major improvements can be achieved, both with respect to logistical costs as well as customer satisfaction

The experience of posttraumatic stress disorder in patients after acute myocardial infraction: A qualitative research.

Introduction: Acute myocardial infarction (AMI) is one of the most frequent causes of death worldwide, which may result in post-traumatic stress (acute or chronic), as well as in psychological distress, both of which change to a decisive extent the life and daily routine of the patient. Purpose: To investigate the experience of post-traumatic stress disorder in patients who suffered an AMI and its effect on their quality of life. Methodology: This qualitative research was conducted using the hermeneutic/phenomenological approach. Using with the method of semi-structured interviews, 20 (15 men, 5 women) patients described their experiences. The data were analyzed using the empirically grounded theory. Results: Patients who suffered an AMI exhibited a series of acute post-traumatic stress symptoms during the first hours after the onset of the disease, which sometimes may be evident for up to two years. The daily presence of psychological distress and the evident manifestation of the concept of spiritual maturation significantly altered their daily habits. Conclusions: Patients with AMI experience post-traumatic stress which starts in the first hours after the event and may last for up to two years, which significantly affect their quality of life

MRISIMUL: A GPU-Based Parallel Approach to MRI Simulations

A new step-by-step comprehensive MR physics simulator (MRISIMUL) of the Bloch equations is presented. The aim was to develop a magnetic resonance imaging (MRI) simulator that makes no assumptions with respect to the underlying pulse sequence and also allows for complex large-scale analysis on a single computer without requiring simplifications of the MRI model. We hypothesized that such a simulation platform could be developed with parallel acceleration of the executable core within the graphic processing unit (GPU) environment. MRISIMUL integrates realistic aspects of the MRI experiment from signal generation to image formation and solves the entire complex problem for densely spaced isochromats and for a densely spaced time axis. The simulation platform was developed in MATLAB whereas the computationally demanding core services were developed in CUDA-C. The MRISIMUL simulator imaged three different computer models: a user-defined phantom, a human brain model and a human heart model. The high computational power of GPU-based simulations was compared against other computer configurations. A speedup of about 228 times was achieved when compared to serially executed C-code on the CPU whereas a speedup between 31 to 115 times was achieved when compared to the OpenMP parallel executed C-code on the CPU, depending on the number of threads used in multithreading (2-8 threads). The high performance of MRISIMUL allows its application in large-scale analysis and can bring the computational power of a supercomputer or a large computer cluster to a single GPU personal computer

Evaluation of the willingness for cadaveric donation in Greece: A population-based study

Despite the importance of body donation for medical education and the advancement of medical science, cadaveric donation remains suboptimal worldwide. The purpose of this study was to evaluate the willingness of body donation in Greece and determine the characteristics of donors. This cross-sectional questionnaire survey was conducted from January to June 2011. A specially designed questionnaire was distributed to 1, 700 individuals who were randomly selected from five major Greek cities. It was found that higher educational levels (P = 0.002), annual family income below 30, 000 Euros (P = 0.001), guaranteed employment status (P = 0.02), and the presence of comorbid conditions (P = 0.004) seemed to affect potential donors' willingness for cadaveric donation. Those with strong religious beliefs were found to be unwilling to donate their bodies to medical science. Interestingly, the majority of participants who believed that hospitalized patients are deceived or are used for harmful experiments were willing to become whole body donors (P = 0.043). In Greece, the rate of body donation to medical science remains low, and most Greek citizens are not willing to become body donors. Efforts to encourage discussions about whole body donation should be implemented in order to improve current low levels of donation. © 2012 American Association of Anatomists

1H NMR-metabolomics: Can they be a useful tool in our understanding of cardiac arrest?

Objective: This review focuses on the presentation of the emerging technology of metabolomics, a promising tool for the detection of identifying the unrevealed biological pathways that lead to cardiac arrest. Data sources: The electronic bases of PubMed, Scopus, and EMBASE were searched. Research terms were identified using the MESH database and were combined thereafter. Initial search terms were "cardiac arrest", "cardiopulmonary resuscitation", "post-cardiac arrest syndrome" combined with "metabolomics". Results: Metabolomics allow the monitoring of hundreds of metabolites from tissues or body fluids and already influence research in the field of cardiac metabolism. This approach has elucidated several pathophysiological mechanisms and identified profiles of metabolic changes that can be used to follow the disease processes occurring in the peri-arrest period. This can be achieved through leveraging the strengths of unbiased metabolome-wide scans, which include thousands of final downstream products of gene transcription, enzyme activity and metabolic products of extraneously administered substances, in order to identify a metabolomic fingerprint associated with an increased risk of cardiac arrest. Conclusion: Although this technology is still under development, metabolomics is a promising tool for elucidating biological pathways and discovering clinical biomarkers, strengthening the efforts for optimizing both the prevention and treatment of cardiac arrest. © 2014 Elsevier Ireland Ltd

H-1 NMR-metabolomics: Can they be a useful tool in our understanding of cardiac arrest?

Objective: This review focuses on the presentation ofthe emerging technology of metabolomics, a promising tool for the detection of identifying the unrevealed biological pathways that lead to cardiac arrest. Data sources: The electronic bases of PubMed, Scopus, and EMBASE were searched. Research terms were identified using the MESH database and were combined thereafter. Initial search terms were “cardiac arrest”, “cardiopulmonary resuscitation”, “post-cardiac arrest syndrome” combined with “metabolomics”. Results: Metabolomics allow the monitoring of hundreds of metabolites from tissues or body fluids and already influence research in the field of cardiac metabolism. This approach has elucidated several pathophysiological mechanisms and identified profiles of metabolic changes that can be used to follow the disease processes occurring in the peri-arrest period. This can be achieved through leveraging the strengths of unbiased metabolome-wide scans, which include thousands of final downstream products of gene transcription, enzyme activity and metabolic products of extraneously administered substances, in order to identify a metabolomic fingerprint associated with an increased risk of cardiac arrest. Conclusion: Although this technology is still under development, metabolomics is a promising tool for elucidating biological pathways and discovering clinical biomarkers, strengthening the efforts for optimizing both the prevention and treatment of cardiac arrest