106 research outputs found

    Safety experiments for small robots investigating the potential of soft materials in mitigating the harm to the head due to impacts

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    There is a growing interest in social robots to be considered in the therapy of children with autism due to their effectiveness in improving the outcomes. However, children on the spectrum exhibit challenging behaviors that need to be considered when designing robots for them. A child could involuntarily throw a small social robot during meltdown and that could hit another person's head and cause harm (e.g. concussion). In this paper, the application of soft materials is investigated for its potential in attenuating head's linear acceleration upon impact. The thickness and storage modulus of three different soft materials were considered as the control factors while the noise factor was the impact velocity. The design of experiments was based on Taguchi method. A total of 27 experiments were conducted on a developed dummy head setup that reports the linear acceleration of the head. ANOVA tests were performed to analyze the data. The findings showed that the control factors are not statistically significant in attenuating the response. The optimal values of the control factors were identified using the signal-to-noise (S/N) ratio optimization technique. Confirmation runs at the optimal parameters (i.e. thickness of 3 mm and 5 mm) showed a better response as compared to other conditions. Designers of social robots should consider the application of soft materials to their designs as it help in reducing the potential harm to the head

    Influence of the shape and mass of a small robot when thrown to a dummy human head

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    Social robots have shown some efficacy in assisting children with autism and are now being considered as assistive tools for therapy. The physical proximity of a small companion social robot could become a source of harm to children with autism during aggressive physical interactions. A child exhibiting challenging behaviors could throw a small robot that could harm another child 0 s head upon impact. In this paper, we investigate the effects of the mass and the shape of objects thrown on impact at different impact velocities on the linear acceleration of a developed dummy head. This dummy head could be the head of another child or a caregiver in the room. A total of 27 main experiments were conducted based on Taguchi’s orthogonal array design. The data were then analyzed using ANOVA and signal-to-noise (S/N). Our results revealed that the two design factors considered (i.e. mass and shape) and the noise factor (i.e. impact velocities) affected the resultant response. Finally, confirmation runs at the optimal identified shape and mass (i.e. mass of 0.3 kg and shape of either cube or wedge) showed an overall reduction in the resultant peak linear acceleration of the dummy head as compared to the other conditions. These results have implications on the design and manufacturing of small social robots whereby minimizing the mass of the robots can aid in mitigating harm to the head due to impact

    Data on the impact of an object with different thicknesses of different soft materials at different impact velocities on a dummy head

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    The purpose of this data is to investigate the effect of different thicknesses of different soft materials samples added to an object on the resultant head acceleration of a developed dummy head upon impact. The object was a cylinder (10 * 10 cm2, diameter and height) and weighs 0.4 kg. The investigated materials were Ecoflex, Dragon Skin, and Clay while the thickness were 1 mm, 2 mm, 3 mm, and 5 mm. The velocities of the impacts for the 108 experiments were between 1 m/s and 3 m/s. Three severity indices (i.e. peak head linear acceleration, 3 ms criterion and the Head Injury Criterion (HIC)) were calculated from the raw acceleration data. The impact velocities were tabulated from the video recordings. A summary of the processed data and the raw data are included in this dataset. Online repository contains the files: https://doi.org/10.7910/DVN/TXOPUH. - 2019 The Author(s)The work is supported by a research grant from Qatar University under the grant No. QUST-1-CENG-2019-10 . The statements made herein are solely the responsibility of the authors. The authors declare that they have no conflict of interest.Scopu

    Impact of health technology assessment implementation with a special focus on middle-income countries

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    Objectives Building an efficient health technology assessment (HTA) system requires significant effort and political commitment, in addition to human and financial resources. Expectations of what HTA can offer to middle-income countries (MICs) are continuously rising, which drives health policymakers to raise the question of whether HTA could help secure the financial sustainability needed to implement universal health coverage. In this study, we explored the impact HTA adoption may have on the countries and its impact on health system objectives, as well as transferability of benefits and drawbacks observed in higher-income to middle-income countries. Methods We utilized secondary data from a systematic literature review and primary data by disseminating a survey among local stakeholders in three MICs across three continents to capture their perspective on the impact of HTA implementation from a local context. Results It was evident from the results of both the literature review and survey that the positive impacts of HTA implementation outweigh the negative impacts. Most of the reviewed literature discussed the impact of HTA on the intermediate objectives of the health finance policy in relation to the broad health system goals. According to the survey respondents, the most evident benefit of HTA implementation is improving the transparency and accountability of healthcare decisions. Conclusions Overall, HTA implementation can introduce a myriad of benefits to healthcare systems in MICs as well. Our findings show that while HTA implementation may have the potential to generate cost savings in specific areas, there is no guarantee that HTA can generate savings at the macro level. Public Interest Summary Health technologies (medicines, devices, and interventions) are rapidly increasing in complexity and cost. Health Technology Assessment (HTA) guides healthcare decision-makers in choosing the most suitable, effective, affordable, and acceptable health technology to invest limited healthcare resources. However, healthcare decision-makers in middle-income countries (MICS) are still uncertain about whether adopting HTA would help them achieve the financial sustainability needed to achieve universal health coverage. Therefore we sought to gather evidence on how HTA has affected the health systems of countries that have already adopted it by reviewing published research reports. In addition, healthcare decision-makers from three MICs were questioned about their perception of how HTA implementation will affect their country's health system. We found that the positive effects of HTA implementation outweigh the negative ones; specifically, the transparency and accountability of decisions are improved. However, although HTA implementation may generate cost savings in specific areas, it may not significantly contribute to overall financial sustainability

    Thrombus burden management during primary coronary bifurcation intervention: a new experimental bench model

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    Background: Management of thrombus burden during primary percutaneous coronary intervention (pPCI) is a key-point, given the high risk of stent malapposition and/or thrombus embolization. These issues are especially important if pPCI involves a coronary bifurcation. Herein, a new experimental bifurcation bench model to analyze thrombus burden behavior was developed. Methods: On a fractal left main bifurcation bench model, we generated standardized thrombus with human blood and tissue factor. Three provisional pPCI strategies were compared (n = 10/group): 1) balloon-expandable stent (BES), 2) BES completed by proximal optimizing technique (POT), and 3) nitinol self-apposing stent (SAS). The embolized distal thrombus after stent implantation was weighed. Stent apposition and thrombus trapped by the stent were quantified on 2D-OCT. To analyze final stent apposition, a new OCT acquisition was performed after pharmacological thrombolysis. Results: Trapped thrombus was significantly greater with isolated BES than SAS or BES+POT (18.8 ± 5.8% vs. 10.3 ± 3.3% and 6.2 ± 2.1%, respectively; p < 0.05), and greater with SAS than BES+POT (p < 0.05). Isolated BES and SAS tended show less embolized thrombus than BES+POT (5.93 ± 4.32 mg and 5.05 ± 4.56 mg vs. 7.01 ± 4.32 mg, respectively; p = NS). Conversely, SAS and BES+POT ensured perfect final global apposition (0.4 ± 0.6% and 1.3 ± 1.3%, respectively, p = NS) compared to isolated BES (74.0 ± 7.6%, p < 0.05). Conclusions: This first experimental bench model of pPCI in a bifurcation quantified thrombus trapping and embolization. BES provided the best thrombus trapping, while SAS and BES+POT achieved better final stent apposition. These factors should be taken into account in selecting revascularization strategy

    Acute exposure to cigarette smoking followed by myocardial infarction aggravates renal damage in an in vivo mouse model

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    Cigarette smoking (S) is a risk factor for progressive chronic kidney disease, renal dysfunction, and renal failure. In this study, the effect of smoking on kidney function was investigated in a mouse model of myocardial infarction (MI) using 4 groups: control (C), smoking (S), MI, and S+MI. Histological analysis of S+MI group showed alterations in kidney structure including swelling of the proximal convoluted tubules (PCTs), thinning of the epithelial lining, focal loss of the brush border of PCTs, and patchy glomerular retraction. Molecular analysis revealed that nephrin expression was significantly reduced in the S+MI group, whereas sodium-hydrogen exchanger-1 (NHE-1) was significantly increased, suggesting altered glomerular filtration and kidney functions. Moreover, S+MI group, but not S alone, showed a significant increase in the expression of connective tissue growth factor (CTGF) and fibrotic proteins fibronectin (FN) and α-smooth muscle actin (SMA), in comparison to controls, in addition to a significant increase in mRNA levels of IL-6 and TNF-α inflammatory markers. Finally, reactive oxygen species (ROS) production was significantly accentuated in S+MI group concomitant with a significant increase in NOX-4 protein levels. In conclusion, smoking aggravates murine acute renal damage caused by MI at the structural and molecular levels by exacerbating renal dysfunction.This work was supported by grants from the Medical Practice Plan (MPP) at AUB (grant title "Effect of Second Hand Smoking (SHS) on Cardiac and Vascular Smooth Muscle Remodeling: A Targeted and Global Approach." Lead PI: Firas Kobeissy, co-PIs: Asad Zeidan and Ahmad Husari), from Lebanese National Council for Scientific Research (Kazem Zibara), from AUB URB (Firas Kobeissy), and from Lebanese University grant (Kazem Zibara).Scopu

    Glycomic and Glycoproteomic Techniques in Neurodegenerative Disorders and Neurotrauma: Towards Personalized Markers

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    The proteome represents all the proteins expressed by a genome, a cell, a tissue, or an organism at any given time under defined physiological or pathological circumstances. Proteomic analysis has provided unparalleled opportunities for the discovery of expression patterns of proteins in a biological system, yielding precise and inclusive data about the system. Advances in the proteomics field opened the door to wider knowledge of the mechanisms underlying various post-translational modifications (PTMs) of proteins, including glycosylation. As of yet, the role of most of these PTMs remains unidentified. In this state-of-the-art review, we present a synopsis of glycosylation processes and the pathophysiological conditions that might ensue secondary to glycosylation shortcomings. The dynamics of protein glycosylation, a crucial mechanism that allows gene and pathway regulation, is described. We also explain how-at a biomolecular level-mutations in glycosylation-related genes may lead to neuropsychiatric manifestations and neurodegenerative disorders. We then analyze the shortcomings of glycoproteomic studies, putting into perspective their downfalls and the different advanced enrichment techniques that emanated to overcome some of these challenges. Furthermore, we summarize studies tackling the association between glycosylation and neuropsychiatric disorders and explore glycoproteomic changes in neurodegenerative diseases, including Alzheimer's disease, Parkinson's disease, Huntington disease, multiple sclerosis, and amyotrophic lateral sclerosis. We finally conclude with the role of glycomics in the area of traumatic brain injury (TBI) and provide perspectives on the clinical application of glycoproteomics as potential diagnostic tools and their application in personalized medicine

    Innovation and strategy: Does it make a difference! A linear study of micro & SMEs

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    Innovation is known to be used by some businesses to help them differentiate their trading position within a specific locale. Research has also proven that by adopting a strategy, aims can be achieved and turnover increased. This study will endeavour to use these two key areas to evaluate how, they are used and to what extent they can improve business performance. The study was carried using 145 Micro and SME business, located within the rural county of Lincolnshire. The businesses were taken from specific locations on a random basis which included rural, remote rural and urban settings. Initial findings found that businesses situated within remote areas performed better than those within the other test areas, leading to the conclusion that they use innovation as a strategy to outperform their business rivals
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