ahmedabdelwahed/Medical_papers_title_and_abstract_NLP_dataset huggingface dataset:
AYUSH- 64: A potential therapeutic agent in COVID-19

Corona Virus disease (COVID-19) has become a global pandemic resulting in large scale morbidity and mortality worldwide. The management of COVID-19 has been a big challenge because of multifactorial pathophysiology and no specific treatment. AYUSH-64, a poly-herbal formulation developed by CCRAS, Ministry of AYUSH, Govt. of India through extensive pharmacological, toxicological and clinical studies has proven its safety and efficacy in infective febrile conditions such as malaria and influenza. AYUSH- 64 has four ingredients having immunomodulatory, anti-inflammatory, antipyretic, antioxidant and anti-viral activities. It arrests the extreme inflammatory responses in COVID-19 that causes progression to significant morbidity. AYUSH-64 has also been incorporated in the National COVID management protocol based on Ayurveda and Yoga by Government of India for asymptomatic and mild cases of COVID-19. Further, on the basis of tangible evidence generated through robust clinical and experimental studies on AYUSH-64, the Ministry of AYUSH has launched nation-wide campaign for mass distribution of AYUSH-64 to asymptomatic, mild to moderate COVID-19 patients in home isolation to reduce the burden on the hospital. This review will highlight the specifications of AYUSH-64, its mechanism of action, its repurposing for COVID-19, various clinical and experimental studies.
A review of recent advances in magnetic nanoparticle-based theranostics of glioblastoma

Rapid vascular growth, infiltrative cells and high tumor heterogenicity are some glioblastoma multiforme (GBM) characteristics, making it the most lethal form of brain cancer. Low efficacy of the conventional treatment modalities leads to rampant disease progression and a median survival of 15 months. Magnetic nanoparticles (MNPs), due to their unique physical features/inherent abilities, have emerged as a suitable theranostic platform for targeted GBM treatment. Thus, new strategies are being designed to enhance the efficiency of existing therapeutic techniques such as chemotherapy, radiotherapy, and so on, using MNPs. Herein, the limitations of the current therapeutic strategies, the role of MNPs in mitigating those inadequacies, recent advances in the MNP-based theranostics of GBM and possible future directions are discussed.
Does economic globalization have predictive power for ecological footprint in MENA counties? A panel causality test with a Fourier function

Recently, there has been renewed interest in the relationship between economic globalization and environmental pollution since various globalization indices are developed. Although several attempts have been made to investigate the impact of globalization on the environment, no known empirical research has focused on exploring the causal relationship between ecological footprint and economic globalization index (provided by KOF Swiss Economic Institute) considering also its subcomponents-trade and financial globalization indices. In this study, a new panel data technique for the causality analysis is developed (namely, panel Fourier Toda-Yamamoto approach) and applied to ecological footprint-economic globalization nexus in 14 MENA (Middle East and North Africa) countries during the period 1981-2016. The empirical results highlight that ecological footprint Granger causes economic, trade, and financial globalization for the panel. Besides, it is found that financial globalization has a predictive power to predict further values of environmental degradation in the MENA countries. The empirical results of this paper have a number of practical implications for policymakers. Especially, policymakers should be careful about implementing environmental policies since they may affect economic (trade and financial) activities negatively.
Protease Inhibitors from Plants as Therapeutic Agents- A Review

Plant-based diets are a great source of protease inhibitors (PIs). Two of the most well-known families of PIs are Bowman-Birk inhibitors (BBI) and Kunitz-type inhibitors (KTI). The first group acts mainly on trypsin, chymotrypsin, and elastase; the second is on serine, cysteine, and aspartic proteases. PIs can retard or inhibit the catalytic action of enzymes; therefore, they are considered non-nutritional compounds; nevertheless, animal studies and cell line experiments showed promising results of PIs in treating human illnesses such as obesity, cardiovascular diseases, autoimmune diseases, inflammatory processes, and different types of cancer (gastric, colorectal, breast, and lung cancer). Anticarcinogenic activity's proposed mechanisms of action comprise several inhibitory effects at different molecular levels, i.e., transcription, post-transcription, translation, post-translation, and secretion of cancer cells. This work reviews the potential therapeutic applications of PIs as anticarcinogenic and anti-inflammatory agents in human diseases and the mechanisms by which they exert these effects.
When Is an Interview an Inter View? The Historical and Recent Development of Methodologies Used to Investigate Children's Astronomy Knowledge

This paper provides a historical review of the interview research that has been used by science educators to investigate children's basic astronomy knowledge. A wide range of strategies have been developed over the last 120 years or so as successive teams of researchers have endeavoured to overcome the methodological difficulties that have arisen. Hence, it looks critically at the techniques that have been developed to tackle the problems associated with interviews, questionnaires and tests used to research cognitive development and knowledge acquisition. We examine those methodologies which seem to yield surer indications of how young people (at different ages) understand everyday astronomical phenomena-the field often referred to as children's cosmologies. Theoretical ideas from cognitive psychology, educational instruction and neuroscience are examined in depth and utilised to critique matters such as the importance of subject mastery and pedagogical content knowledge on the part of interviewers; the merits of multi-media techniques; the roles of open-ended vs. structured methods of interviewing; and the need always to recognise the dynamism of memory in interviewees. With illustrations and protocol excerpts drawn from recent studies, the paper points to what researchers might usefully tackle in the years ahead and the pitfalls to be avoided.
Effects of foreign direct investment on carbon emissions: Evidence from China and its Belt and Road countries

This paper examines the effects of China's foreign direct investment (FDI) on the carbon emissions of its domestic economy and the Belt and Road countries (BRCs). Total inward FDI into China as a host country shows a pollution reducing effect in the western and eastern regions while that in the central region remains unchanged. But China's outward FDI particularly from its eastern region reduces pollution in China. This suggests that China could be exporting carbon emissions via its FDI in the BRCs. The effects on BRCs' pollution from China's FDI is however different depending on the country's level of development. China's FDI was found to have no effect on high and upper middle income BRCs; a decreasing effect on low income BRCs; and an increasing effect on lower middle income BRCs. Evidence shows that China needs to consider a mix of policies to manage its inward and outward FDI to ensure its move to a low carbon economy benefits its own regional development and the BRCs by not contributing to increased carbon emissions.
Analysis of electricity generation options for sustainable energy decision making: The case of Turkey

Sustainable energy decision making requires the comparison of energy generation technologies regarding a wide range of economic, technical, environmental, and socio-economic criteria. This study aims to rank the main seven electricity generation technologies for Turkey according to their performance scores. These energy generation technologies are natural gas, coal, hydropower with dam, run-of-river type hydropower, onshore wind, geothermal and solar PV. The sustainability scores are calculated via twelve indicators classified into abovementioned four criteria groups. Multi-criteria decision analysis methodology is employed with a weighted sum multi-attribute utility approach for five different sensitivity cases. The results reveal that the hydroelectric technology with dam is the best option for most of the sensitivity cases. We hope this study gives a scientific and objective standpoint to decision-maker authorities in Turkey for planning sustainable electricity generation policies. (C) 2019 Elsevier Ltd. All rights reserved.
Dual-effect single-mixed refrigeration cycle: An innovative alternative process for energy-efficient and cost-effective natural gas liquefaction

Typical liquefaction processes are considered to be energy and cost-intensive. The dual mixed refrigerant (DMR) process (with two independent refrigeration cycles for cooling and subcooling) produces liquefied natural gas (LNG) at relatively high energy efficiency. However, it exhibits a high degree of configurational complexity and high sensitivity to operational conditions, and it also incurs a large capital investment. These factors eventually reduce the overall competitiveness of the liquefaction process, particularly for offshore applications. To address these issues, an energy- and cost-efficient dual-effect single mixed refrigerant (DSMR) process is proposed herein, and it employs a single loop refrigeration cycle to generate the dual cooling and subcooling effect, separately. The DMR process and the proposed DSMR process are simulated (with same design parameters) using well-known commercial simulator Aspen Hysys v10. Then, both processes are optimized using modified coordinate descent algorithm. The specific energy consumption of DSMR is 0.284 kWh/kg-NG, which is equivalent to an energy saving of 22.89% when compared to the conventional DMR process. The exergy efficiency of DSMR is 36.62%, which is 29.67% higher than that of the classical DMR process. Furthermore, the economic feasibility of the proposed DSMR process is evaluated in terms of its total annualized cost, which is 18.52% lower than that of the DMR process. Thus, the proposed DSMR process offers remarkable energy and exergy efficiencies with minimal capital investment. Therefore, DSMR could replace the classical DMR process, as well as other complex mixed refrigerant-based liquefaction processes.
The association between HIV disclosure, spousal testing and unprotected vaginal intercourse within marriage among HIV positive married MSM in China

Disclosure of HIV status can encourage spouses of people diagnosed with HIV to prioritize HIV prevention. However, few studies have reported the HIV disclosure status of married men who have sex with men (MSM) and their female spouses. The purpose of this study was to describe the prevalence of HIV disclosure, and whether it was associated with spouses' HIV testing uptake and unprotected vaginal intercourse within marriage for MSM living with HIV (HIV + MSM) in China. A cross-sectional study was conducted in three Chinese cities. Of 309 participants, only 31.1% of men had disclosed their HIV status to spouses. About 80% of participants reported that their spouses had been tested for HIV. A small proportion of men (9.1%) had unprotected sex with their spouse after HIV diagnosis. Multivariate analyses indicated HIV disclosure was positively associated with HIV testing uptake of spouses, but there was no significant association between HIV disclosure and unprotected marital sexual behaviors for HIV + MSM. The findings indicated that HIV disclosure to spouses is uncommon among married HIV + MSM in China, and HIV disclosure is associated with increased uptake of HIV testing among spouses of MSM, but it does not decrease the unprotected sexual behaviors in marriage.
Does oil price really matter for the wage arrears in Russia?

This paper employs bootstrap full- and sub-sample rolling-window Granger causality tests to explore the time-varying interaction between oil price and wage arrears in Russia. The empirical results reveal that the decline in oil price leads wage arrears to increase, which indicates that there is an oil curse in Russia, as high wage arrears caused by low oil price may hinder the healthy development. Also, the rise in oil price causes wage arrears to decrease, and then the economic and social progress in Russia can be promoted. These results are supported by the Dutch-disease endogenous growth model, which highlights that oil price negatively affects wage arrears. In turn, there is a negative influence from wage arrears to oil price, which points out that the macroeconomic situation in Russia plays an important role in reflecting the changes of oil system. In the situation of international oil market uncertainty and the high dependence on the resources in Russia, investors can benefit from the above conclusions to diversify the investment risks. Also, it can provide implications for enterprises and governments to prevent potential wage arrears and improve the public confidence, as well as turn the resource curse into bonanza. (C) 2020 Published by Elsevier Ltd.
Multi-objective optimization for an integrated renewable, power-to-gas and solid oxide fuel cell/gas turbine hybrid system in microgrid

Power-to-gas (P2G) using excess renewable sources is an effective method to reduce renewable curtailment issues in microgrid system. The produced hydrogen is versatile green fuel for different energy sectors, such as electricity, heat and mobility. In recent researches, fuel cell-based system is considered as a promising technology to consume hydrogen (H2) generated from P2G due to high efficiency and cleanness. However, its economic and thermodynamic adaptability when coupled with intermittent renewable sources remains an open question to be addressed carefully. One of the major challenges in optimizing such system is to simultaneously capture the intraday and seasonal variation of renewable sources & load, as well as the internal thermodynamic process of critical components in appropriate modeling detail. This paper presents a multi-energy system for microgrid in which a wind-powered P2G is coupled with a detailed thermoeconomic model of solid oxide fuel cell/gas turbine (SOFC/GT) hybrid system. A two-level multi-objective optimization of planning and operation together is proposed. For system planning, the optimal balance between the least wind curtailment rate and total life cycle cost (LCC) is determined. To facilitate the coordinate operation of system components, a power management strategy is proposed in response to fluctuations of wind power and electricity load with considerations of multiple thermodynamic safety criteria. Results show that in the selected case, the multi-energy system operates with low wind curtailment rate of 0.63% and high renewable penetration level of 90.1%. The optimized LCC of multi-energy system is 2,468,093 with wind power accounting for 68.35% of total capital investment. With the power management strategy applied, the SOFC/GT could operate under the maximum electrical efficiency of 67.1% with safety constraints satisfied, making up only half investment cost of P2G. To capture seasonal variations, both winter and summer scenarios are detailly analyzed, sensitivity analysis is also carried out to evaluate the interaction between capacities of MES components. (C) 2020 Elsevier Ltd. All rights reserved.
Regional environmental efficiency in China: An empirical analysis based on entropy weight method and non-parametric models

While vigorously developing its economy, China is attaching more and more importance to environmental protection and pollution control. In different regions of China, however, there are great differences in economic development and the degree of environmental pollution. In this study, we use the entropy weight method to calculate the pollution indexes of different regions from 2015 to 2017. Then we evaluate the Chinese regional environmental efficiency based on a new non-parametric frontier model. Moreover, a new set of ranking interval models that treat the undesirable outputs as inputs is proposed to further describe the regional disparities of the environmental efficiency between different regions with robustness. Finally, we conduct an empirical analysis by combining the stepwise regression and principal component analysis to identify the most influential variables that may affect regional environmental efficiency. According to the results, the southeast region of China performs best in environmental efficiency, followed by the northeast region, then the southwest region, and the worst is the northwest region. For managerial implications, we find that the investment of high education and the development of the IT industry can significantly increase regional environmental efficiency. More importantly, the results of the principal component analysis provide the government with a set of variables to strategically select the most appropriate strategy. (C) 2020 Elsevier Ltd. All rights reserved.
Parenting Interventions for Refugees and Forcibly Displaced Families: A Systematic Review

Globally, an estimated 79.5 million individuals have been displaced, nearly 40% of whom are children. Parenting interventions may have the potential to improve outcomes for displaced families. To investigate this, we conducted a systematic review to identify the types of caregiver or parenting interventions that have been evaluated among displaced families, to assess their efficacy across a range of contexts, and to describe their cultural and contextual adaptations. The review followed PRISMA guidelines. At stage one, all articles describing caregiver/parenting interventions for forcibly displaced families were included to provide a scoping review of the state of the literature. At stage two, only randomized controlled trials (RCTs) and quasi-experimental designs were included, allowing for quantitative analysis of program effects. A total of 30 articles (24 studies) were identified in stage one. 95.8% of these articles were published in the past 10 years. Of these, 14 articles (10 studies) used an RCT or quasi-experimental design to assess program efficacy or effectiveness. Relative to control groups, those assigned to caregiving programs showed significant, beneficial effects across the domains of parenting behaviors and attitudes, child psychosocial and developmental outcomes, and parent mental health. Cultural adaptations and recruitment and engagement strategies are described. The evidence base for caregiving programs for displaced families has expanded in recent years but remains limited. Caregiving/parenting programs show promise for reducing the negative effects of forced displacement on families, but future studies are needed to understand which programs show the greatest potential for scalability.
S-Benzyl cysteine based cyclic dipeptide super hydrogelator: Enhancing efficacy of an anticancer drug via sustainable release

Peptide-based low molecular weight supramolecular hydrogels hold promising aspects in various fields of application especially in biomaterial and biomedical sciences such as drug delivery, wound healing, tissue engineering, cell proliferation, and so on due to their extreme biocompatibility. Unlike linear peptides, cyclic peptides have more structural rigidity and tolerance to enzymatic degradation and high environmental stability which make them even better candidates for the above-said applications. Herein, a new small cyclic dipeptide (CDP) cyclo-(Leu-S-Bzl-Cys) (P1) consisting of L-leucine and S-benzyl protected L-cysteine was reported which formed a hydrogel at physiological conditions (at 37°C and pH = 7.46). The hydrogel formed from the cyclic dipeptide P1 showed very good tolerance towards environmental parameters such as pH and temperature and was seen to be stable for more than a year without any deformation. The hydrogel was thermoreversible and stable in the pH range 6-12. Mechanical strength of P1 hydrogel was measured by rheology experiments. Atomic force microscopy (AFM) and field emission scanning electron microscopy (FE-SEM) images revealed that, in aqueous solvents, P1 self-assembled into a highly cross-linked nanofibrillar network which immobilized water molecules inside the cages and formed the hydrogel. The self-assembled cyclic dipeptide acquired the antiparallel β-sheet secondary structure, which was evident from CD and Fourier transform infrared (FT-IR) studies. The β-sheet arrangement and formation of amyloid fibrils were further established by ThT binding assay. Furthermore, P1 was able to form a hydrogel in the presence of the anticancer drug 5-fluorouracil (5FU), and sustainable release of the drug from the hydrogel was measured in vitro. The hydrogelator P1 showed almost no cytotoxicity towards the human colorectal cancer cell line HCT116 up to a considerably high concentration and showed potential application in sustainable drug delivery. The co-assembly of 5FU and P1 hydrogel exhibited much better anticancer activity towards the HCT116 cancer cell line than 5FU alone and decreased the IC50 dose of 5FU to a much lower value.
Health impact analysis of PM2.5 from wildfire smoke in Canada (2013-2015,2017-2018)

Smoke from wildfires contains many air pollutants of concern and epidemiological studies have identified associations between exposure to wildfire smoke PM2.5 and mortality and respiratory morbidity, and a possible association with cardiovascular morbidity. For this study, a retrospective analysis of air quality modelling was performed to quantify the exposure to wildfire-PM2.5 across the Canadian population. The model included wildfire emissions from across North America for a 5-month period from May to September (i.e. wildfire season), between 2013 and 2015 and 2017-2018. Large variations in wildfire-PM2.5 were noted year-to-year, geospatially, and within fire season. The model results were then used to estimate the national population health impacts attributable to wildfire-PM2.5 and the associated economic valuation. The analysis estimated annual premature mortalities ranging from 54-240 premature mortalities attributable to short-term exposure and 570-2500 premature mortalities attributable to long-term exposure, as well as many non-fatal cardiorespiratory health outcomes. The economic valuation of the population health impacts was estimated per year at $410M-$1.8B for acute health impacts and $4.3B-$19B for chronic health impacts for the study period. The health impacts were greatest in the provinces with populations in close proximity to wildfire activity, though health impacts were also noted across many provinces indicating the long-range transport of wildfire-PM2.5. Understanding the population health impacts of wildfire smoke is important as climate change is anticipated to increase wildfire activity in Canada and abroad. (C) 2020 The Authors. Published by Elsevier B.V.
Measuring smart grid resilience: Methods, challenges and opportunities

With growing concerns related to attacks on the cyber and physical assets associated with the power grid along with the need to mitigate impact of natural disasters, resilience has become a critical and desirable characteristic. There have been numerous efforts to define, measure and analyse resilience of smart grids. In this paper, a detailed review and comparative analysis of qualitative frameworks as well as quantitative metrics for studying resilience are provided. The desirable properties of a resilience metric are highlighted and challenges associated with formulating, developing and calculating such a metric in practical scenarios are discussed. Future research avenues in the area of developing a holistic framework for quantifying resilience are summarized with a focus on challenges related to multi-modal cyber/physical attacks, big data related issues and interdependence of critical infrastructures.