Detection rates of recurrent prostate cancer : 68Gallium (Ga)-labelled prostate-specific membrane antigen versus choline PET/CT scans. A systematic review

Background: The aim of this work was to assess the use of prostate-specific membrane antigen (PSMA)-labelled radiotracers in detecting the recurrence of prostate cancer. PSMA is thought to have higher detection rates when utilized in positron emission tomography (PET)/computed tomography (CT) scans, particularly at lower prostate-specific antigen (PSA) levels, compared with choline-based scans. Methods: A systematic review was conducted comparing choline and PSMA PET/CT scans in patients with recurrent prostate cancer following an initial curative attempt. The primary outcomes were overall detection rates, detection rates at low PSA thresholds, difference in detection rates and exclusive detection rates on a per-person analysis. Secondary outcome measures were total number of lesions, exclusive detection by each scan on a per-lesion basis and adverse side effects. Results: Overall detection rates were 79.8% for PSMA and 66.7% for choline. There was a statistically significant difference in detection rates favouring PSMA [OR (M–H, random, 95% confidence interval (CI)) 2.27 (1.06, 4.85), p = 0.04]. Direct comparison was limited to PSA < 2 ng/ml in two studies, with no statistically significant difference in detection rates between the scans [OR (M–H, random, 95% CI) 2.37 (0.61, 9.17) p = 0.21]. The difference in detection on the per-patient analysis was significantly higher in the PSMA scans (p < 0.00001). All three studies reported higher lymph node, bone metastasis and locoregional recurrence rates in PSMA. Conclusions: PSMA PET/CT has a better performance compared with choline PET/CT in detecting recurrent disease both on per-patient and per-lesion analysis and should be the imaging modality of choice while deciding on salvage and nonsystematic metastasis-directed therapy strategies.Peer reviewedFinal Published versio

E-Learning Portal Using Social Networking Features

Education is currently conducted in highly controlled way. E-learning has emerged as an answer to provide freedom for learners in the way that face-to-face learning cannot deliver. It has rapidly evolved from a thing of the future to a practical approach towards education and will continue to be an extremely useful classroom teaching tool as well as self-study platform. With the rise of virtual reality technology and augment reality solutions, experimental subjects, skill-based learning and military training will come to depend more heavily on e-learning solutions. Various education technology providers are also hinting towards the rise of mobile learning solutions (also known as m-learning) as the advanced stage of education technology in future. Students can access educational assistance with services such as online tutoring, online programming help and coursework guidance. In providing e-learning, it is desirable to build an environment that is suitable to the student’s learning style. The result of multiple regression analyses, excluding the changes in learning preferences that may occur during the course, shows that a student’s learning adaptability can be estimated to some extent based on his/her learning preference measured before the course starts. Despite many advantages of e-learning, it does not provide the best learning experience due to many shortages, limitations, and challenges. The best learning experience might be available by combining in-class and online learning. One more feature that e-learning lacks is peers interaction. Peers interaction has been facilitated through social networks. Utilizing social networks in e-Learning can change the way students perceive learnin

On Cognitive Robot Woodworking in SMErobotics

This paper details and discusses work performed at the woodworking SME Mivelaz Techniques Bois SA within the SMErobotics FP7 project. The aim is to improve non-expert handling of the cell by introduction of cognitive abilities in the robot system. Three areas are considered; intuitive programming, process adaptation and system integration. Proposed cognitive components are described together with experiments performed

A Hybrid Life Cycle Inventory of Nano-Scale Semiconductor Manufacturing

The manufacturing of modern semiconductor devices involves a complex set of nanoscale fabrication processes that are energy and resource intensive, and generate significant waste. It is important to understand and reduce the environmental impacts of semiconductor manufacturing because these devices are ubiquitous components in electronics. Furthermore, the fabrication processes used in the semiconductor industry are finding increasing application in other products, such as microelectromechanical systems (MEMS), flat panel displays, and photovoltaics. In this work we develop a library of typical gate-to-gate materials and energy requirements, as well as emissions associated with a complete set of fabrication processmodelsusedinmanufacturingamodernmicroprocessor. In addition, we evaluate upstream energy requirements associated with chemicals and materials using both existing process life cycle assessment (LCA) databases and an economic input-output (EIO) model. The result is a comprehensive data set and methodology that may be used to estimate and improve the environmental performance of a broad range of electronics and other emerging applications that involve nano and micro fabrication

Uncalibrated 3D stereo image-based dynamic visual servoing for robot manipulators

Abstract — This paper introduces a new comprehensive so-lution for the open problem of uncalibrated 3D image-based stereo visual servoing for robot manipulators. One of the main contributions of this article is a novel 3D stereo camera model to map positions in the task space to positions in a new 3D Visual Cartesian Space (a visual feature space where 3D positions are measured in pixels). This model is used to compute a full-rank Image Jacobian Matrix (Jimg), which solves several common problems presented on the classical image Jacobians, e.g., image space singularities and local minima. This Jacobian is a fundamental key for the image-based control design, where uncalibrated stereo camera systems can be used to drive a robot manipulator. Furthermore, an adaptive second order sliding mode visual servo control is designed to track 3D visual motions using the 3D trajectory errors defined in the Visual Cartesian Space. The stability of the control in closed loop with a dynamic robot system is formally analyzed and proved, where exponential convergence of errors in the Visual Cartesian Space and task space without local minima are demonstrated. The complete control system is evaluated both in simulation and on a real industrial robot. The robustness of the control scheme is evaluated for cases where the extrinsic parameters of the stereo camera system change on-line and the kinematic/dynamic robot parameters are considered as unknown. This approach offers a proper solution for the common problem of visual occlusion, since the stereo system can be moved to obtain a clear view of the task at any time. I

Fosfomycin vs. quinolone-based antibiotic prophylaxis for transrectal ultrasound-guided biopsy of the prostate: a systematic review and meta-analysis

BACKGROUND: Infection-related complications secondary to quinolone resistance have been on the rise following transrectal ultrasound-guided biopsy of the prostate (TRUSBP). The aim of this review was to compare the efficacy of fosfomycin with quinolone-based antibiotic prophylaxis for TRUSBP.METHODS: A systematic review in line with the preferred reporting items for systematic reviews and meta-analyses (PRISMA) and Cochrane guidelines was conducted. All studies comparing fosfomycin vs. non-fosfomycin antimicrobial prophylaxis for TRUSBP were considered. The main outcomes were number of urinary tract infections (UTIs) (overall, afebrile, febrile, and urosepsis) and fluoroqinolone resistance. Secondary outcomes were positive urine and blood cultures, and adverse effects of drugs.RESULTS: Five studies comparing fosfomycin and non-fosfomycin antimicrobials were included in the review. In all, 1447 and 1665 patients were included in the fosfomycin and non-fosfomycin cohorts, respectively. The systematic review report significantly lower UTIs in the fosfomycin cohort (M-H, Fixed, 95% CI), 0.20 (0.13, 0.30), p &lt; 0.00001. Urine cultures from patients given fosfomycin showed significantly lower resistance rates (M-H, Fixed, 95% CI) 0.27 (0.15, 0.50), p &lt; 0.0001. The adverse effect profile between the two cohorts were similar (M-H, Fixed, 95% CI) 1.13 (0.51, 2.50), p = 0.33. On Grade Pro evaluation, overall UTI, afebrile UTI, febrile UTI, and urosepsis were rates as moderate, low, very low, and moderate quality evidence, respectively. Positive blood and urine culture were rated as moderate and very low-quality evidence, respectively. Fluoroquinolone resistance was rated as low-quality evidence. Adverse effects was rated as very low-quality evidence.CONCLUSIONS: This review suggests that fosfomycin has significantly lower septic complications with an equivalent side effect profile in comparison with quinolone-based prophylaxis regimen for TRUSBP. There is an urgent need for appropriate antibiotic stewardship and it is paramount that studies with robust methodology are developed to establish the role of fosfomycin over existing antibiotic regimens for TRUSBP.</p

SMErobotics : Smart Robots for Flexible Manufacturing

Current market demands require an increasingly agile production environment throughout many manufacturing branches. Traditional automation systems and industrial robots, on the other hand, are often too inflexible to provide an economically viable business case for companies with rapidly changing products. The introduction of cognitive abilities into robotic and automation systems is, therefore, a necessary step toward lean changeover and seamless human–robot collaboration. In this article, we introduce the European Union (EU)-funded research project SMErobotics (http://www.smerobotics .org/), which focuses on facilitating the use of robot systems in small and medium-sized enterprises (SMEs). We analyze open challenges for this target audience and develop multiple efficient technologies to address related issues. Real-world demonstrators of several end users and from multiple application domains show the impact these smart robots can have on SMEs. This article intends to give a broad overview of the research conducted in SMErobotics. Specific details of individual topics are provided through references to our previous publications