Oral piercing and oral diseases: a short time retrospective study.

Body piercing indicates the puncturing of a part of the body in which jewelry may be worn. In recent years, oral piercing is increasingly popular especially among young people. Body piercing has to be considered as a surgical procedure to all intents and purposes and, as such, has to be performed only by qualified personnel able to assure high standards of professionalism in facilities subject to sanitary inspections. The aim of the present work is to verify what risks patients may be exposed to and what complications may occur after a healthcare professional performs oral piercing. Our retrospective study includes 108 patients (74 males and 34 females) aged between 14 and 39 years, who had oral piercing done 12±4 months earlier. All the patients underwent clinical examination to reveal the possible presence of late complications. After piercing, none of the 108 patients developed widespread complications. Although all patients said they had followed the piercers' instructions, 96% of them reported postoperative local complications such as bleeding within 12 hours of piercing (90%), perile-sional edema for 3±2 days after piercing surgery (80%), and persistent mucosal atrophy (70%). © Ivyspring International Publisher

Superconducting nanowire photon number resolving detector at telecom wavelength

The optical-to-electrical conversion, which is the basis of optical detectors, can be linear or nonlinear. When high sensitivities are needed single-photon detectors (SPDs) are used, which operate in a strongly nonlinear mode, their response being independent of the photon number. Nevertheless, photon-number resolving (PNR) detectors are needed, particularly in quantum optics, where n-photon states are routinely produced. In quantum communication, the PNR functionality is key to many protocols for establishing, swapping and measuring entanglement, and can be used to detect photon-number-splitting attacks. A linear detector with single-photon sensitivity can also be used for measuring a temporal waveform at extremely low light levels, e.g. in long-distance optical communications, fluorescence spectroscopy, optical time-domain reflectometry. We demonstrate here a PNR detector based on parallel superconducting nanowires and capable of counting up to 4 photons at telecommunication wavelengths, with ultralow dark count rate and high counting frequency

RegExpBlasting (REB), a Regular Expression Blasting algorithm based on multiply aligned sequences

Background: One of the most frequent uses of bioinformatics tools concerns functional characterization of a newly produced nucleotide sequence (a query sequence) by applying Blast or FASTA against a set of sequences (the subject sequences). However, in some specific contexts, it is useful to compare the query sequence against a cluster such as a MultiAlignment (MA). We present here the RegExpBlasting (REB) algorithm, which compares an unclassified sequence with a dataset of patterns defined by application of Regular Expression rules to a given-as-input MA datasets. The REB algorithm workflow consists in i. the definition of a dataset of multialignments ii. the association of each MA to a pattern, defined by application of regular expression rules; iii. automatic characterization of a submitted biosequence according to the function of the sequences described by the pattern best matching the query sequence. Results: An application of this algorithm is used in the "characterize your sequence" tool available in the PPNEMA resource. PPNEMA is a resource of Ribosomal Cistron sequences from various species, grouped according to nematode genera. It allows the retrieval of plant nematode multialigned sequences or the classification of new nematode rDNA sequences by applying REB. The same algorithm also supports automatic updating of the PPNEMA database. The present paper gives examples of the use of REB within PPNEMA. Conclusion: The use of REB in PPNEMA updating, the PPNEMA "characterize your sequence" option clearly demonstrates the power of the method. Using REB can also rapidly solve any other bioinformatics problem, where the addition of a new sequence to a pre-existing cluster is required. The statistical tests carried out here show the powerful flexibility of the method

Portfolio selection problems in practice: a comparison between linear and quadratic optimization models

Several portfolio selection models take into account practical limitations on the number of assets to include and on their weights in the portfolio. We present here a study of the Limited Asset Markowitz (LAM), of the Limited Asset Mean Absolute Deviation (LAMAD) and of the Limited Asset Conditional Value-at-Risk (LACVaR) models, where the assets are limited with the introduction of quantity and cardinality constraints. We propose a completely new approach for solving the LAM model, based on reformulation as a Standard Quadratic Program and on some recent theoretical results. With this approach we obtain optimal solutions both for some well-known financial data sets used by several other authors, and for some unsolved large size portfolio problems. We also test our method on five new data sets involving real-world capital market indices from major stock markets. Our computational experience shows that, rather unexpectedly, it is easier to solve the quadratic LAM model with our algorithm, than to solve the linear LACVaR and LAMAD models with CPLEX, one of the best commercial codes for mixed integer linear programming (MILP) problems. Finally, on the new data sets we have also compared, using out-of-sample analysis, the performance of the portfolios obtained by the Limited Asset models with the performance provided by the unconstrained models and with that of the official capital market indices

Left ventricular assist device-related infections and the risk of cerebrovascular accidents:a EUROMACS study

OBJECTIVES: In patients supported by a durable left ventricular assist device (LVAD), infections are a frequently reported adverse event with increased morbidity and mortality. The purpose of this study was to investigate the possible association between infections and thromboembolic events, most notable cerebrovascular accidents (CVAs), in LVAD patients. METHODS: An analysis of the multicentre European Registry for Patients Assisted with Mechanical Circulatory Support was performed. Infections were categorized as VAD-specific infections, VAD-related infections and non-VAD-related infections. An extended Kaplan–Meier analysis for the risk of CVA with infection as a time-dependent covariate and a multivariable Cox proportional hazard model were performed. RESULTS: For this analysis, 3282 patients with an LVAD were included with the majority of patients being male (83.1%). During follow-up, 1262 patients suffered from infection, and 457 patients had a CVA. Cox regression analysis with first infection as time-dependent covariate revealed a hazard ratio (HR) for CVA of 1.90 [95% confidence interval (CI): 1.55–2.33; P < 0.001]. Multivariable analysis confirmed the association for infection and CVAs with an HR of 1.99 (95% CI: 1.62–2.45; P < 0.001). With infections subcategorized, VAD-specific HR was 1.56 (95% CI: 1.18–2.08; P 0.002) and VAD-related infections [HR: 1.99 (95% CI: 1.41–2.82; P < 0.001)] remained associated with CVAs, while non-VAD-related infections (P = 0.102) were not. CONCLUSIONS: Infection during LVAD support is associated with an increased risk of developing an ischaemic or haemorrhagic CVA, particularly in the setting of VAD-related or VAD-specific infections. This suggests the need of a stringent anticoagulation management and adequate antibiotic treatment during an infection in LVAD-supported patients

Detection of the pairwise kinematic Sunyaev-Zel'dovich effect with BOSS DR11 and the Atacama Cosmology Telescope

We present a new measurement of the kinematic Sunyaev-Zeldovich effect using data from the Atacama Cosmology Telescope (ACT) and the Baryon Oscillation Spectroscopic Survey (BOSS). Using 600 square degrees of overlapping sky area, we evaluate the mean pairwise baryon momentum associated with the positions of 50,000 bright galaxies in the BOSS DR11 Large Scale Structure catalog. A non-zero signal arises from the large-scale motions of halos containing the sample galaxies. The data fits an analytical signal model well, with the optical depth to microwave photon scattering as a free parameter determining the overall signal amplitude. We estimate the covariance matrix of the mean pairwise momentum as a function of galaxy separation, using microwave sky simulations, jackknife evaluation, and bootstrap estimates. The most conservative simulation-based errors give signal-to-noise estimates between 3.6 and 4.1 for varying galaxy luminosity cuts. We discuss how the other error determinations can lead to higher signal-to-noise values, and consider the impact of several possible systematic errors. Estimates of the optical depth from the average thermal Sunyaev-Zeldovich signal at the sample galaxy positions are broadly consistent with those obtained from the mean pairwise momentum signal.Comment: 15 pages, 8 figures, 2 table

Diagnostic difficulties of Lactobacillus casei bacteraemia in immunocompetent patients: A case report

This is an Open Access article distributed under the terms of the Creative Commons Attribution Licens

Lung adenocarcinoma originates from retrovirus infection of proliferating type 2 pneumocytes during pulmonary post-natal development or tissue repair

Jaagsiekte sheep retrovirus (JSRV) is a unique oncogenic virus with distinctive biological properties. JSRV is the only virus causing a naturally occurring lung cancer (ovine pulmonary adenocarcinoma, OPA) and possessing a major structural protein that functions as a dominant oncoprotein. Lung cancer is the major cause of death among cancer patients. OPA can be an extremely useful animal model in order to identify the cells originating lung adenocarcinoma and to study the early events of pulmonary carcinogenesis. In this study, we demonstrated that lung adenocarcinoma in sheep originates from infection and transformation of proliferating type 2 pneumocytes (termed here lung alveolar proliferating cells, LAPCs). We excluded that OPA originates from a bronchioalveolar stem cell, or from mature post-mitotic type 2 pneumocytes or from either proliferating or non-proliferating Clara cells. We show that young animals possess abundant LAPCs and are highly susceptible to JSRV infection and transformation. On the contrary, healthy adult sheep, which are normally resistant to experimental OPA induction, exhibit a relatively low number of LAPCs and are resistant to JSRV infection of the respiratory epithelium. Importantly, induction of lung injury increased dramatically the number of LAPCs in adult sheep and rendered these animals fully susceptible to JSRV infection and transformation. Furthermore, we show that JSRV preferentially infects actively dividing cell in vitro. Overall, our study provides unique insights into pulmonary biology and carcinogenesis and suggests that JSRV and its host have reached an evolutionary equilibrium in which productive infection (and transformation) can occur only in cells that are scarce for most of the lifespan of the sheep. Our data also indicate that, at least in this model, inflammation can predispose to retroviral infection and cancer

Adherence to behavioural interventions in multiple sclerosis: Follow-up meeting report (AD@MS-2)

After an initial meeting in 2013 that reviewed adherence to disease modifying therapy, the AD@MS group conducted a follow-up meeting in 2014 that examined adherence to behavioural interventions in MS (e.g. physical activity, diet, psychosocial interventions). Very few studies have studied adherence to behavioural interventions in MS. Outcomes beyond six months are lacking, as well as implementation work in the community. Psychological interventions need to overcome stigma and other barriers to facilitate initiation and maintenance of behaviour change. A focus group concentrated on physical activity and exercise as one major behavioural intervention domain in MS. The discussion revealed that patients are confronted with multiple challenges when attempting to regularly engage in physical activity. Highlighted needs for future research included an improved understanding of patients’ and health experts’ knowledge and attitudes towards physical activity as well as a need for longitudinal research that investigates exercise persistence