ahmedabdelwahed/Medical_papers_title_and_abstract_NLP_dataset huggingface dataset:
Sizing renewable energy systems with energy storage systems in microgrids for maximum cost-efficient utilization of renewable energy resources

The hybridization of renewable energy systems (RES) and further integrating them with Energy Storage Systems (ESS) can help improve the RESs' reliability and reduce the mismatch between energy consumption and generation profiles. The main aim of this study is to suggest a sizing methodology for the RES components with various ESS scenarios in a microgrid through techno-economic feasibility analysis. Although the suggested methodology is flexible to include several RESs and ESSs, the methodology is demonstrated to compare the techno-economic performance of Wind and Photovoltaic (PV) energy systems under four different ESS scenarios; (i) no ESS, (ii) Pumped Hydro Storage (PHS), (iii) Hydrogen Fuel Cell (HFC), and (iv) hybrid ESS (PHS/HFC). The optimal RES configuration is determined by maximizing the RES fraction while equating the Cost of Electricity (COE) to the national utility tariff. However, in the event that there is no feasible system configuration that satisfies the mentioned criteria, the main objective becomes maximizing the RES fraction at the lowest attainable COE. This study outlines that the incorporation of PHS and HFC with the PV/Wind hybrid system increased the demand-supply fraction from 46.5%-89.4% and the RES fraction from 62.6%-91.8% with COE equals to 0.175 USD/kWh.
The role of ICT in energy consumption and environment: an empirical investigation of Asian economies with cluster analysis

The development of societies has led information and communication technology (ICT) to play a gradually important role in people's lives, transforming the way societies and economies function. ICTs are often associated with the path to reducing CO(2)emissions; however, do they lead to that path? Or are they themselves a growing source of energy consumption and emissions? The current study estimates the effect of ICT, trade, economic growth, financial development, and energy consumption on carbon emissions in South and Southeast Asian (SSEA) region for the period of 1990-2014. Moreover, the study also tried to validate the environmental Kuznets curve (EKC) hypothesis between GDP per capita and CO(2)emissions. Cluster analysis was used to identify two groups (potential and advanced countries) based on their social development score. The long-run connection between the variables was examined and the long-run elasticities of ICT, financial development, energy consumption, trade, and economic growth with respect to CO(2)emissions were estimated. Besides, individual country-wise long-run coefficients were found. Results show that financial development and ICT deteriorated the environment quality in the SSEA region, suggesting ICT goods and services are not energy-efficient in both potential and advanced countries and that most of the financial investment was made in non-friendly environmental projects, in potential countries. On the contrary, in advanced countries, financial development mitigates CO(2)emissions. In addition, results also confirmed an inverted U-shaped relationship for all the considered three panels such as potential, advance, and full-countries panels, confirming EKC. Causality findings showed a bidirectional causality between CO(2)emissions and energy consumption as well as unidirectional causality from trade, economic growth, financial development, and ICT to CO(2)emissions. Policymakers should be aware of the ICT impact on energy consumption and strengthen the regulation of their manufacture to facilitate the integration of energy efficiency into user routines. Due to the increasing use of standby mode and Wi-Fi assistive devices, the rapid implementation of legislation regulating these technologies to make them more efficient is recommended.
Peri-operative management of patients with Parkinson's disease

Patients with Parkinson's disease are at higher risk of peri-operative medical and surgical complications. Multidisciplinary management, early recognition of potential complications, specialised care of medications and intra-operative protection of the vulnerable brain are all important aspects of the peri-operative management of patients with Parkinson's disease. Advances in continuous dopaminergic treatment, development of a peri-operative Parkinson's disease pathway and application of telemedicine are starting to play a role in improving peri-operative care. Management of patients with advanced Parkinson's disease is also evolving, with potential for incorporation of integrated care and changes in the anaesthetic management for deep brain stimulation surgery. There are new methods for localisation of target nuclei and increasing insight on the effects of anaesthetic drugs on microelectrode recordings and clinical outcomes. Parkinson's disease is a progressive disease, but management is improving with better peri-operative care for patients.
PFOB sonosensitive microdroplets: determining their interaction radii with focused ultrasound using MR thermometry and a Gaussian convolution kernel computation

Purpose: Micron-sized perfluorocarbon droplet adjuvants to focused ultrasound therapies allow lower applied power, circumvent unwanted prefocal heating, and enhance thermal dose in highly perfused tissues. The heat enhancement has been shown to saturate at increasing concentrations. Experiments were performed to empirically model the saturating heating effects during focused ultrasound.Materials and methods: The measurements were made at varying concentrations using magnetic resonance thermometry and focused ultrasound by circulating droplets of mean diameter 1.9 to 2.3 µm through a perfused phantom. A simulation was performed to estimate the interaction radius size, empirically.Results: The interaction radius, representing the radius of a sphere encompassing 90% of the probability for the transformation of acoustic energy into heat deposition around a single droplet, was determined experimentally from ultrasonic absorption coefficient measurements The simulations suggest the interaction radius was approximately 12.5-fold larger than the geometrical radius of droplets, corresponding to an interaction volume on the order of 2000 larger than the geometrical volume.Conclusions: The results provide information regarding the dose-response relationship from the droplets, a measure with 15% precision of their interaction radii with focused ultrasound, and subsequent insights into the underlying physical heating mechanism.
IonicRF™: a novel step in technology for radiofrequency ablation treatments

Radiofrequency ablation (RFA) has been utilized since the 1970s to treat various painful conditions. The technology has evolved from its initial use to treat lumbar facet mediated pain with monopolar lesioning to now treat a plethora of chronic pain conditions. This article reviews Abbott Corporation's (IL, USA) IonicRF™ generator. The IonicRF generator utilizes an intelligent power algorithm that improves efficiency and reduces procedure time. The generator also carries a wide range of RFA therapies such as monopolar, bipolar, pulsed or pulsed dose radiofrequency. Additionally, the IonicRF RFA generator is compatible with the Simplicity™ RF probe (Abbott) which allows for efficient and effective denervation of the sacroiliac joint.
Effects of the socio-economic influencing factors on SO2 pollution in Chinese cities: A spatial econometric analysis based on satellite observed data

The research on SO2 pollution in China has been hotly debated over the past decades. Different from the existing studies, this work employs satellite observed SO2 columns from 2005 to 2016 and applies a spatial econometric approach to investigate the socio-economic influencing factors of SO2 pollution of 270 prefecture-level cities in China. The findings are as follows. (1) SO2 pollution over China exhibits a significant and positive spatial autocorrelation. (2) The most polluted area is concentrated on the North China Plain. However, SO2 pollution over China has been reduced gradually during the sample period, implying that overall environmental quality in China has been substantially improved. (3) Besides, the results of spatial econometric models are not in support of "pollution haven hypothesis". On the contrary, the pollution halo effect of foreign direct investment works well and contributes to reducing SO2 pollution in China. Moreover, we find that urban economic levels and innovative capability are negatively correlated with SO2 pollution, indicating that economic growth and an increase in innovation can help improve environmental quality. On contrast, the share of the secondary industry, urbanization and transportation are found to have positive impacts, indicating that they are three main contributors to SO2 pollution in China.
Optimal sizing of wind/ concentrated solar plant/ electric heater hybrid renewable energy system based on two-stage stochastic programming

Component capacity and energy management strategy are two key issues for the optimal sizing of a hybrid renewable energy system. In this study, a two-stage stochastic programming problem is proposed for the optimal sizing of a hybrid renewable energy system consisted of wind turbine, concentrated solar plant, and electric heater. In the problem, component capacity optimization is the first-stage problem to minimize the levelized cost of energy while satisfying the reliability constraint, and energy management strategy optimization is the second-stage problem to minimize the loss of power supply probability while satisfying the operation constraints. The problem is solved by combining of an improved differential evolution algorithm, namely JADE, and Cplex, and the superiority of JADE is validated by algorithm comparisons with several popular intelligent optimization algorithms. Furthermore, economic benefits of the electric heater in the hybrid system are investigated by techno-economic comparisons with a reference wind turbine/concentrated solar plant hybrid energy system without electric heater under their optimal capacity. The results show the electric heater is beneficial for a lower levelized cost of energy, reducing by 0.004 ($/kWh) and 0.009 ($/kWh) respectively when the loss of power supply probability is 2% and 5%. (C) 2020 Elsevier Ltd. All rights reserved.
Curcumin delivery by modified biosourced carbon-based nanoparticles

Aim: To prepare a novel hybrid system for the controlled release and delivery of curcumin (CUR). Methods: A method for the ultrasound-assisted fabrication of protein-modified nanosized graphene oxide-like carbon-based nanoparticles (CBNPs) was developed. After being modified with bovine serum albumin (BSA), CUR was loaded onto the synthesized hybrid (labeled CBNPs@BSA-CUR). The structure and properties of the synthesized nanoparticles were elucidated using transmission electron microscopy (TEM), atomic force microscopy (AFM), ultraviolet-visible spectroscopy (UV-Vis), Fourier-transform infrared spectroscopy (FTIR) and x-ray photoelectron spectroscopy (XPS) methods. Results: CBNPs@BSA-CUR showed pH sensitivity and were calculated as controlled CUR release behavior. The drug-free system exhibited good biocompatibility and was nontoxic. However, CBNPs@BSA-CUR showed acceptable antiproliferative ability against MCF-7 breast cancer cells. Conclusion: CBNPs@BSA-CUR could be considered a highly promising nontoxic nanocarrier for the delivery of CUR with good biosafety.
A deep learning-based forecasting model for renewable energy scenarios to guide sustainable energy policy: A case study of Korea

Renewable and sustainable energy systems and policies have globally been promoted to transition from fossil fuel sources to environmentally friendly renewable energy sources such as wind power, photovoltaic energy, and fuel cells. Wind and solar energy sources are erratic and difficult to implement in renewable energy systems, therefore, circumspection is needed to implement such renewable energy systems and policies. Accordingly, this study develops an energy forecasting model with renewable energy technologies on which policy can be based, using the Korean energy policy as a case study. Deep learning-based models forecast fluctuating variation in electricity demand and generation, which are necessary in renewable energy system but not possible with conventional models. The gated recurrent unit shows the best prediction performance among the forecasting models evaluated, and is therefore selected as the base model to evaluate four different renewable energy scenarios. The scenarios are evaluated according to economic-environmental cost assessment. The optimal scenario uses an integrated gasification combined cycle, onshore and offshore wind farms, photovoltaic power stations, and fuel cell plants; in particular, this scenario shows the lowest economic-environmental costs, generates stable electricity for demand, and achieves a policy with 100% renewable energy. The optimal scenario is assessed by considering its strengths, weaknesses, opportunities, and threats analysis while also considering technoeconomic-environmental domestic and global energy circumstances.
Bioremediation potential of hydrocarbon degrading bacteria: isolation, characterization, and assessment

Oil contamination is a worldwide concern now. However, oil contaminated environment is enriched with microorganisms that can utilize petroleum oil and use hydrocarbon for their growth, nutrition and metabolic activities. In the present study, bacteria present in the oil contaminated soil were isolated by enrichment culture technique using Minimal Salt (MS) media supplemented with diesel oil and burned engine oil as a sole carbon source. The isolated bacteria were characterized by morphological and biochemical tests and identified by molecular tool through cycle sequencing method. Three isolates were morphologically characterized as gram-negative, cocci shaped and 16S rRNA sequence analysis revealed that the isolates are closely related to Pseudomonas sp., Acinetobacter sp., and Enterobacter sp. respectively. Growth condition was optimized at pH 7.0 and temperature 37 °C. All the isolates were susceptible to several antibiotics and they have no antagonistic effect with soil beneficial bacteria. Three isolates were grown in two different concentrations of diesel oil and burned engine oil (4% v/v and 8%, v/v) respectively. Study revealed that with increasing the concentration of diesel oil in the media the growth rate of all the isolates were decreased. In contrast, the growth rates of all the three isolates were increased, with increasing concentration of burned engine oil. In our study, all the isolates showed their degradation efficacy in 4% v/v diesel oil and in 8% v/v burned engine oil. So, our research clearly shows that the isolates could be potentially used for bioremediation purposes for cleaning up petroleum polluted area.
The Relationship between Economic Growth and Air Pollution-A Regional Comparison between China and South Korea

This paper analyzes the interaction between regional economic growth and air pollution in China and Korea. The relationship between gross regional product per capita and industrial emission of sulfur dioxide emission is examined at the regional level using simultaneous equation models covering 286 cities in China and 228 cities and counties in South Korea of the period 2006-2016. The results find that regional differences existed in the relationship between air pollution and economic growth in two countries. In both countries, an inverted U-shaped pattern was found in metropolitan areas while a U-shaped pattern of non-metropolitan areas. Although the emissions of pollutants in metropolitan areas of both countries have shown a downward trend in recent years, there is still a large gap between the overall emission levels of China and South Korea. Moreover, the level of pollutant emissions of China's metropolitan areas is much higher than in non-metropolitan areas, while the opposite result has occurred in Korea. In China, there was an inverted U-shaped relationship of the eastern and northwest region, while U-shaped relationships existed in the southwest, central and northeast regions.
Globalization-driven CO2 emissions in Singapore: an application of ARDL approach

This study explores the linkage between globalization and CO2 emissions in Singapore by using long-term data obtained during 1970-2014. The Zivot-Andrew unit root test corroborates that gross domestic production, economic globalization, political globalization, social globalization, square of economic growth, and carbon dioxide emissions have a unit root at I(0) and stationary at I(1). In this study, the application of auto-regressive distributed lag model finds a significant linkage between the estimated variables. Short- and long-run coefficients confirm that social globalization and economic globalization will be responsible for reduction in carbon dioxide emissions in the future for Singapore. Moreover, this research confirms the presence of environmental Kuznets curve in Singapore. It is proved that a 1% increase in political globalization will increase 2.06% emissions in the long term. The stability of the model is confirmed by diagnostic tests. In addition, policy implications to reduce air pollution are presented in this study.
The distribution, characteristics and ecological risks of microplastics in the mangroves of Southern China

During the production, use and disposal of plastic products, microplastics (MPs) are dispersed into the surrounding environment and have inevitable impacts on mangrove ecosystems in estuaries and offshore areas. In the mangroves of Southern China, the systematic evaluation of the distribution, characteristics and ecological risks of MPs is lacking. In this study, surface sediments (0-5 cm depth) were collected from six representative mangroves in China to explore MP contamination and its associated ecological risk. Based on the results, MP concentrations of MPs in mangrove sediments were as follows: FT (2249 +/- 747 items/kg), ZJ (736 +/- 269 items/kg), DF (649 +/- 443 items/kg), DZG (431 +/- 170 items/kg), YX (424 +/- 127 items/kg), and FCG (227 +/- 173 items/kg). The higher MP concentration in the Futian mangrove was mainly related to inputs from the Pearl River, the third largest river in China. The predominant shape, colour, and size of MPs were fibrous, white-transparent, and 500-5000 mu m, respectively. The main MP polymer types were polypropylene, polyethylene, and polystyrene. Degradation artefacts were present on surface of MPs as well as metallic and non-metallic elements. MPs concentration in mangrove sediments increased with increasing social-economic development of surrounding districts, which indicated the clear influence of anthropogenic activity on MP pollution in these mangroves. Furthermore, total organic carbon (TOC) and silt content were positively associated with MPs (P < 0.01), indicating a facilitatory role in deposition of MPs in mangroves. Based on a comprehensive evaluation using the potential ecological risk factor (E-i), potential ecological risk (RI), polymer risk index (H) and pollution load index (PLI), MPs were found to present ecological risks in these mangroves, with the highest risk occurring in the Futian mangrove. (C) 2019 Elsevier B.V. All rights reserved.
Case report: A novel application of the MicroVascular Plug (MVP) in treating distal coronary perforation

Coronary artery perforation during percutaneous coronary intervention (PCI) is a rare but severe complication which has been associated with a high rate of major adverse outcomes and is potentially fatal. We report a case of a 70-year-old male who presented with an anterior ST-elevation myocardial infarction. Coronary angiogram revealed a proximal left anterior descending (LAD) artery occlusion. Successful PCI was performed with stenting of the LAD. However, subsequent attempts to retrieve a jailed diagonal branch inadvertently led to distal coronary perforation of the LAD. After failed attempts to tamponade the perforation with prolonged balloon inflation, this was successfully sealed with the MicroVascular Plug (Medtronic) system. To our knowledge, this is the first reported case of such an application in the coronary system. This may prove to be a viable alternative in closure of distal coronary perforations.
Mental Health and Work Attitudes among People Resuming Work during the COVID-19 Pandemic: A Cross-Sectional Study in China

The unprecedented outbreak of the Coronavirus Disease 2019 (COVID-19) caused an economic downturn and increased the unemployment rate in China. In this context, employees face health and social economic stressors. To assess their mental health (i.e., anxiety, depression, insomnia and somatization) and work attitudes (i.e., work engagement, job satisfaction and turnover intention) as well as the associated factors, we conducted a cross-sectional study among people who resumed work after the Spring Festival holiday during the COVID-19 pandemic. The results show that the prevalence of anxiety, depression, insomnia and somatization among these people was 12.7%, 13.5%, 20.7% and 6.6%, respectively. The major risk factor for mental health was worrying about unemployment, and the main protective factors were psychological strengths (i.e., resilience and optimism). Regarding work attitudes, the percentage of people who felt more satisfied with their job (43.8%) was larger than that of those who felt less satisfied (26.9%), while the percentage of people who thought about quitting their job more frequently (15.7%) was smaller than that of those who considered it less frequently (63.2%). However, work engagement was lower than usual. Similar to the factors associated with mental health, the major risk factor for work attitudes was also worrying about unemployment, and the main protective factors were resilience and optimism. In addition, the nature of the organization, job status, age, position and income changes were also related to these work attitudes. Our findings shed light on the need for organization administrators to be aware of the status of and factors associated with employees' mental health and work attitudes during the COVID-19 pandemic. Policies or interventions could be developed based on our findings.