Prolonged face mask use might worsen dry eye symptoms

Purpose: The aim of this study was to explore whether prolonged and consistent face mask use might be associated with worsening of dry eye symptoms in patients with dry eye disease (DED). Methods: Subjects with a previous diagnosis of DED. Their OSDI scores were compared with those recorded in Fall 2019 using the Wilcoxon paired test. Participants were stratified by face mask use: heavy (Group A) or standard (Group B) face mask users. Heavy use was defined as wearing any type of face mask for at least 6 hours a day, at least 5 days per week in the last 2 months. Results: 67 subjects (mean age: 45.27 ± 10.06 SD years, 40% males and 60% females). Median OSDI score in Fall 2019: 18.75. Median OSDI in Spring 2020: 20.83. The Hodges‑Lehmann median difference was 2.09 (95% CI [1.05, 4.17]) (P < 0.0001). The population was then stratified into heavy and standard face mask users: Group A included heavy users (31 subjects; mean age: 42.81 ± 10.48 SD years; 35% males and 65% females), Group B included standard users (36 subjects; mean age: 47.39 ± 9.31 SD years; 44% males and 56% females). The Hodges‑Lehmann median difference was 5.21 (95% CI [3.13, 7.29]) in Group A (P < 0.0001), and 1.04 (95% [0, 2.08]) in Group B (P = 0.0177). Conclusion: Prolonged and consistent face mask use is associated with an increase in OSDI scores. Whether face mask use is responsible for the worsening of symptoms of DED remains to be elucidate

Evaluating Orthogonality between Application Auto-Tuning and Run-Time Resource Management for Adaptive OpenCL Applications

Abstract-The ever increasing number of processing units integrated on the same many-core chip delivers computational power that can exceed the performance requirements of a single application. The number of chips (and related power consumption) can thus be reduced to serve multiple applications -a practice which is called resource consolidation. However, this solution requires techniques to partition and assign resources among the applications and to manage unpredictable dynamic workloads. To provide the performance requirements in such scenarios, we exploit application auto-tuning, based on design-time analysis, of both application-specific dynamic knobs and computational parallelism. Such features are implemented in a software library, which is used to demonstrate the main contribution of this paper: a light-weight Run-Time Resource Management -RTRM -technique to improve resource sharing for computationally intensive OpenCL applications. We evaluate how much the interaction between RTRM and application auto-tuning can become synergistic yet orthogonal. In the proposed approach, run-time adaptation decisions are taken by each application, autonomously. This has two main advantages: i) a non-invasive application design, in terms of source code, and ii) a very low run-time overhead, since it does not require any central coordination of a supervisor nor communication between the applications. We carried out an experimental campaign by using a video processing application -an OpenCL stereo-matching implementation -and stressing out resource usage. We proved that, while RTRM is necessary to provide lower variance of the application performance, the application auto-tuning layer is fundamental to trade it off with respect to the computation accuracy

Broadening the antibacterial spectrum of histidine kinase autophosphorylation inhibitors via the use of epsilon-poly-L-lysine capped mesoporous silica-based nanoparticles

[EN] Two-component systems (TCS) regulate diverse processes such as virulence, stress responses, metabolism and antibiotic resistance in bacteria but are absent in humans, making them promising targets for novel antibacterials. By incorporating recently described TCS histidine kinase autophosphorylation inhibitors (HKAIs) into epsilon-poly-L-lysine capped nanoparticles (NPs) we could overcome the Gram negative (Gr(-)) permeability barrier for the HKAIs. The observed bactericidal activity against Gr(-) bacteria was shown to be due to the enhanced delivery and internalization of the HKAIs and not an inhibitory or synergistic effect of the NPs. The NPs had no adverse effects on mammalian cell viability or the immune function of macrophages in vitro and showed no signs of toxicity to zebrafish larvae in vivo. These results show that HKAIs are promising antibacterials for both Gr(-) and Gr + pathogens and that NPs are a safe drug delivery technology that can enhance the selectivity and efficacy of HKAIs against bacteria. (C) 2016 Elsevier Inc. All rights reserved.This work was funded by FP7 ITN STARS-Scientific Training in Antimicrobial Research Strategies (Contract No. PITN-GA-2009-238490, J.M.W., A.M.), H2020 MSCA IF (AND-659121, N.V.), grant BIO2013-42619-P from the Ministerio de Economia y Competitividad (A.M.), grant from the Spanish Government (Project MAT2015-64139-C4-1-R,N. M., J.R.M, R.M.M.), and a grant from Generalitat Valenciana (Project PROMETEOII/2014/047, N.M.). and Prometeo II/2014/029, A.M.).Velikova, N.; Mas Font, N.; Miguel-Romero, L.; Polo, L.; Stolte, E.; Zaccaria, E.; Cao, R.... (2017). Broadening the antibacterial spectrum of histidine kinase autophosphorylation inhibitors via the use of epsilon-poly-L-lysine capped mesoporous silica-based nanoparticles. Nanomedicine Nanotechnology Biology and Medicine. 13(2):569-581. https://doi.org/10.1016/j.nano.2016.09.011S56958113

Reducing the environmental impact of surgery on a global scale: systematic review and co-prioritization with healthcare workers in 132 countries

Abstract Background Healthcare cannot achieve net-zero carbon without addressing operating theatres. The aim of this study was to prioritize feasible interventions to reduce the environmental impact of operating theatres. Methods This study adopted a four-phase Delphi consensus co-prioritization methodology. In phase 1, a systematic review of published interventions and global consultation of perioperative healthcare professionals were used to longlist interventions. In phase 2, iterative thematic analysis consolidated comparable interventions into a shortlist. In phase 3, the shortlist was co-prioritized based on patient and clinician views on acceptability, feasibility, and safety. In phase 4, ranked lists of interventions were presented by their relevance to high-income countries and low–middle-income countries. Results In phase 1, 43 interventions were identified, which had low uptake in practice according to 3042 professionals globally. In phase 2, a shortlist of 15 intervention domains was generated. In phase 3, interventions were deemed acceptable for more than 90 per cent of patients except for reducing general anaesthesia (84 per cent) and re-sterilization of ‘single-use’ consumables (86 per cent). In phase 4, the top three shortlisted interventions for high-income countries were: introducing recycling; reducing use of anaesthetic gases; and appropriate clinical waste processing. In phase 4, the top three shortlisted interventions for low–middle-income countries were: introducing reusable surgical devices; reducing use of consumables; and reducing the use of general anaesthesia. Conclusion This is a step toward environmentally sustainable operating environments with actionable interventions applicable to both high– and low–middle–income countries

A Boundary Computation Algorithm for the Workspace Evaluation of Continuum Parallel Robots

International audienceIn this paper, a new algorithm for the computation of workspace boundaries of continuum parallel robots (CPRs) is proposed. State-of-the-art techniques are mainly based on time-consuming joint space discretization approaches or task-space discretization algorithms, and only a few approaches are dedicated to the computation of workspace boundaries. The proposed approach for the computation of the workspace boundaries, is based on i) a free-space exploration strategy and ii) a boundary reconstruction algorithm. The former is exploited to identify an initial workspace boundary location (exterior, interior boundaries, and holes), while the latter is used to reconstruct the complete boundary surface. Moreover, the algorithm is designed to be employed with CPRs modelling strategies based on general discretization assumptions, in order to increase its applicability for various scopes. Our method is compared with two state-ofthe-art algorithms in four cases studies, to validate the results, and to establish its merits and limitations

Design and Experimental Equilibrium Stability Assessment of a RFRFR Continuum Parallel Robot

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Singularity Conditions of Concentric Tube Robots

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Conjunctivitis can be the only presenting sign and symptom of COVID-19

Five cases of non-remitting conjunctivitis turned out to be the sole presenting sign and symptom of COVID-19. These patients tested positive on RT-PCR of naso-pharyngeal swabs and developed no fever, malaise, or respiratory symptoms throughout the course of their illness. They all fully recovered. In the current efforts to fight the spread of this virus, authors want to emphasize that atypical clinical presentations of COVID-19 can occur and a high level of suspicion should be maintained. Ocular involvement and transmission of SARS-CoV-2 should never be overlooked. In fact, conjunctival mucosae are susceptible to respiratory viruses and remain an important point of entry. For this reason, eye protection in the form of goggles or a face shield should be considered essential for all healthcare providers, even when taking care of patients who are not showing typical symptoms of COVID-19