49 research outputs found

    A multi-center, real-life experience on liquid biopsy practice for EGFR testing in non-small cell lung cancer (NSCLC) patients

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    Background: circulating tumor DNA (ctDNA) is a source of tumor genetic material for EGFR testing in NSCLC. Real-word data about liquid biopsy (LB) clinical practice are lacking. The aim of the study was to describe the LB practice for EGFR detection in North Eastern Italy. Methods: we conducted a multi-regional survey on ctDNA testing practices in lung cancer patients. Results: Median time from blood collection to plasma separation was 50 min (20\u2013120 min), median time from plasma extraction to ctDNA analysis was 24 h (30 min\u20135 days) and median turnaround time was 24 h (6 h\u20135 days). Four hundred and seventy five patients and 654 samples were tested. One hundred and ninety-two patients were tested at diagnosis, with 16% EGFR mutation rate. Among the 283 patients tested at disease progression, 35% were T790M+. Main differences in LB results between 2017 and 2018 were the number of LBs performed for each patient at disease progression (2.88 vs. 1.2, respectively) and the percentage of T790M+ patients (61% vs. 26%)

    Prospective, Multicenter Phase II Trial of Non-Pegylated Liposomal Doxorubicin Combined with Ifosfamide in First-Line Treatment of Advanced/Metastatic Soft Tissue Sarcomas

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    Doxorubicin is a widely used anticancer agent as a first-line treatment for various tumor types, including sarcomas. Its use is hampered by adverse events, among which is the risk of dose dependence. The potential cardiotoxicity, which increases with higher doses, poses a significant challenge to its safe and effective application. To try to overcome these undesired effects, encapsulation of doxorubicin in liposomes has been proposed. Caelyx and Myocet are different formulations of pegylated (PLD) and non-pegylated liposomal doxorubicin (NPLD), respectively. Both PLD and NPLD have shown similar activity compared with free drugs but with reduced cardiotoxicity. While the hand–foot syndrome exhibits a high occurrence among patients treated with PLD, its frequency is notably reduced in those receiving NPLD. In this prospective, multicenter, one-stage, single-arm phase II trial, we assessed the combination of NPLD and ifosfamide as first-line treatment for advanced/metastatic soft tissue sarcoma (STS). Patients received six cycles of NPLD (50 mg/m2) on day 1 along with ifosfamide (3000 mg/m2 on days 1, 2, and 3 with equidose MESNA) administered every 3 weeks. The overall response rate, yielding 40% (95% CI: 0.29–0.51), resulted in statistical significance; the disease control rate stood at 81% (95% CI: 0.73—0.90), while only 16% (95% CI: 0.08–0.24) of patients experienced a progressive disease. These findings indicate that the combination of NPLD and ifosfamide yields a statistically significant response rate in advanced/metastatic STS with limited toxicity

    Health status, mental health and air quality: evidence from pensioners in Europe

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    Environmental quality is an important determinant of individuals’ well-being and one of the main concerns of the governments is the improvement on air quality and the protection of public health. This is especially the case of sensitive demographic groups, such as the old aged people. However, the question this study attempts to answer is how do individuals value the effects on the environment. The study explores the effects of old and early public pension schemes, as well as the impact of air pollution on health status of retired citizens. The empirical analysis relies on detailed micro-level data derived from the Survey of Health, Ageing and Retirement in Europe (SHARE). As proxies for health, we use the general health status and the Eurod mental health indicator. We examine two air pollutants: the sulphur dioxide (SO2) and ground-level ozone (O3). Next, we calculate the marginal willingness-to-pay (MWTP) which shows how much the people are willing to pay for improvement in air quality. We apply various quantitative techniques and approaches, including the fixed effects ordinary least squares (OLS) and the fixed effects instrumental variables (IV) approach. The last approach is applied to reduce the endogeneity problem coming from possible reverse causality between the air pollution, pensions and the health outcomes. For robustness check, we apply also a structural equation modelling (SEM) which is proper when the outcomes are latent variables. Based on our favoured IV estimates and the health status, we find that the MWTP values for one unit decrease in SO2 and O3 are respectively €221 and €88 per year. The respective MWTP values using the Eurod measure are €155 and €68. Overall, improvement of health status implies reduction in health expenditures, and in previous literature, ageing has been traditionally considered the most important determinant. However, this study shows that health lifestyle and socio-economic status, such as education and marital status, are more important, and furthermore, air pollution cannot be ignored in the agenda of policy makers

    Masonry compressive strength prediction using artificial neural networks

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    The masonry is not only included among the oldest building materials, but it is also the most widely used material due to its simple construction and low cost compared to the other modern building materials. Nevertheless, there is not yet a robust quantitative method, available in the literature, which can reliably predict its strength, based on the geometrical and mechanical characteristics of its components. This limitation is due to the highly nonlinear relation between the compressive strength of masonry and the geometrical and mechanical properties of the components of the masonry. In this paper, the application of artificial neural networks for predicting the compressive strength of masonry has been investigated. Specifically, back-propagation neural network models have been used for predicting the compressive strength of masonry prism based on experimental data available in the literature. The comparison of the derived results with the experimental findings demonstrates the ability of artificial neural networks to approximate the compressive strength of masonry walls in a reliable and robust manner.- (undefined

    Worthy to Lose Some Money for Better Air Quality: Applications of Bayesian Networks on the Causal Effect of Income and Air Pollution on Life Satisfaction in Switzerland

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    One important determinant of well-being is the environmental quality. Many countries apply environmental regulations, reforms and policies for its improvement. However, the question is how the people value the environment, including the air quality. This study examines the association between air pollution and life satisfaction using the Swiss Household Panel survey over the years 2000–2013. We follow a Bayesian network (BN) strategy to estimate the causal effect of the income and air pollution on life satisfaction. We look at five main air pollutants: the ground-level ozone (O3), sulphur dioxide (SO2), nitrogen dioxide (NO2), carbon monoxide (CO) and particulate matter of 10 micrometres (PM10). Then, we calculate the individuals’ marginal willingness to pay (MWTP) of reducing air pollution that aims to improve their life satisfaction. Beside the BN model, we take advantage of the panel structure of our data and we follow two approaches as robustness check. This includes the adapted probit fixed effects and the generalised methods of moments system. Our findings show that O3 and PM10 present the highest MWTP values ranging between 8000and8000 and 12,000, followed by the remained air pollutants with MWTP extending between 2000and2000 and 6500. Applying the BNs, we find that the causal effect of income on life satisfaction is substantially increased. We also show the causal effects of air pollutants remain almost the same, leading to lower values of willingness to pay

    Are Women Happier When Their Spouse is Teleworker?

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    © 2017 Springer Science+Business Media Dordrecht. This study explores the household production allocation and happiness of women when their spouse is teleworker using data from the British Household Panel Survey over the years 1991–2009. The study aims to answer whether the women spend additional time on housework and are happier when they or their partner is teleworker. Also, we explore whether are happier when they share the household–domestic production with their partners. Fixed effects estimates take place, and we consider a Bayesian Network framework and a directed acyclic graph for causal inference. The results show that women are more likely to state that the household allocation, such as cooking, cleaning, ironing and childcare is shared when their partner teleworks. Shopping is an exception which can be regarded as an outdoor activity while one partner may be mainly responsible for this chore. In addition, women are happier when they or their spouse is teleworker, and they report higher levels of happiness when the household production allocation is a shared process. This may indicate men teleworkers may contribute extra to the household production releasing a burden for the partners and improving their well-being

    A Collective Household Labour Supply Model with Disability: Evidence from Iraq

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    In this study we explored the determinants of the women’s labour supply and we attempted to identify the sharing rules for married couples. The analysis relied on data derived by the Iraqi Household Socio-Economic Survey (IHSES) in 2012–2013. The study considered the housework contributed by both spouses and we also included the wife’s disability status as a distribution factor. Moreover, we estimated the sharing rules accounting for female non-participation in the labour market. The household collective model was preferred over the unitary model as the results supported that changes on wages, non-labour income, age, education, number of children, and disability as a distribution factor affect the bargaining power and the share of spouses. The findings showed that for a one percent increase on female’s daily wage rate, her share on full income was increased by 1320 Iraqi Dinar (ID) corresponding to 1.12,whilereached1470ID(1.12, while reached 1470 ID (1.25) when the domestic labour was considered. Similarly, increases on the male’s wage increased her share by 630 ID (0.50),whileincreasesof1IDinthenonlabourincomeincreasedfemalesshareby0.43.Theestimatesshowedthatthedisabledwomendecreasedtheshareby1275ID(0.50), while increases of 1 ID in the non-labour income increased female’s share by 0.43. The estimates showed that the disabled women decreased the share by 1275 ID (1.08). Furthermore, the findings illustrated that considering the non-participation of the wife in the labour market, her share and therefore her bargaining power was lower than their earner counterparts

    Timeless evolution of walking and pace strategy of women’s race walking

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    Purpose: The purpose of this research was to study the timeline evolution of walking, as well as the Pacing Strategy Profiles of high-level women in the 20 km of race walking. Material: The practical example of applying the theoretical basis was made during the Women’s Greek Championship (Megara 2016), in which 12 athletes aged 19 to 40 participated (28.50 ± 7.20). The certified distance of the 20km route was divided into 10 sections of 2 km each. The same happened with the times (intermediate, final) corresponding to the individual sections (2 km) of the route. The athletes were divided into 4 groups: the first 3, those who finished 15% slower than the first, those who finished 15%-30% slower, and those who finished more than 30% slower than the winner. Finally became comparison of the first 6 and last 6 athletes’ groups. Results: The individual pace strategies that describe the tactics of the athletes in this race have been calculated. It was found that the winners of the race used Even Pacing Strategy, maintaining a steady speed on most of the route. As the level of women athletes became lower, Variable Pacing Strategy was used, while the athletes who finished last did not seem to be able to maintain any particular pacing strategy. Conclusions: It is suggested that athletes should follow Even Pacing Strategy during the race in order to improve their performance. © Panagiotα Fitili, Vasilios Giovanis, 2020

    Modern technology assists disabled competitors: The first “cybathlon” special competition in Zürich

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    Purpose: The purpose of the articles was presentation of modern bioengineering technology in order to help people with severe disabilities. Methods: Bioengineering industry can offer for people with severe disability several devices in order to take part in the competition different than Paralympics. The first international competition for people with disabilities supported by modern assistive technology, such as sensors, motors, displays were allowed to compete in Cybathlon held in Zürich in 2016. About 70 athletes and their teams from 25 countries appeared at the event. Results: There were six disciplines (races): 1) Powered Arms (Upper Extremities) Prostheses Race, 2) Powered Leg (Lower Extremities) Prostheses Race, 3) Powered Wheelchair Race, 4) Powered Exoskeleton Race, 5) Functional Electrical Stimulation Bike Race, 6) Brain-Computer Interface Race. About a quarter of the teams represented industry and the rest represented university laboratories. Conclusions: The competition was a success. It will be organized every four years as the Olympic Games for able bodied competitors. The main inventor of the event professor Robert Riener from Zürich Polytechnic (ETHZ) said assistive technology should: a) be user-friendly b) to function well, c) be affordable, d) to be used within the barrier-free environment. © 2020, Institute of Machine Design and Operation. All rights reserved
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