ahmedabdelwahed/Medical_papers_title_and_abstract_NLP_dataset huggingface dataset:
An update of the benchmark post-combustion CO2-capture technology

This study provides a description of a new benchmark post-combustion CO2 capture (PCC) technology reflecting the publicly reported performances by various technology suppliers. To achieve this several amines and amine formulations have been considered using a process model developed in ProTreat (R). A 40 wt% formulation of PZ (piperazine)/AMP (amino-methyl-propanol) in a 1:2 M ratio was selected as the most representative of the current state of the art. A PCC process configuration with absorber intercooling and rich split flow was selected to reflect the fact that the technology suppliers use a variety of process designs to optimize the process performance. The techno-economic performances were further detailed for the PCC process integrated with an ultra-supercritical coal fired power station and a natural gas fired combined-cycle. The techno-economic evaluation of the PCC process indicated that the costs of capture with respect to 30 wt% MEA for the coal-fired power station were reduced by 22% and for the natural gas fired combined-cycle by 15%.
Nanomedicine formulations for respiratory infections by inhalation delivery: Covid-19 and beyond

For respiratory infections treatment and prevention, we analyze for the first time the possibility of providing a broad range medication based on metallic nanoparticles colloids (NpC) delivery by controlled aerosol inhalation. (i) Based on in-vitro data combined with aerosol deposition characteristics in the respiratory system, we calculate the required effective formulations, dosages and delivery parameters for an aerosol inhalation treatment. The goal is to achieve an effective NpC inhibitory concentration (IC) in the target airway surface liquid (ASL); (ii) We evaluate the clinical safety of such dosages, drawing on information from animal testing data and regulatory limits in the USA for such nanoparticles aerosol inhalation safety. Our analysis indicates a wide range of potentially safe and effective dosages that can be clinically explored, targeting the upper respiratory and bronchial tree system. Similar dosages can also provide antibacterial effectiveness for prophylactic treatment in hospital intensive care units to lower the risk of ventilator-associated pneumonia (VAP). Our calculations are phenomenological, independent of mechanisms. Nevertheless, we highlight a mechanism of action by which any suitably designed NpC, with nanoparticles sized 2-10 nm and having a large negative zeta-potential, preferentially bind to viruses with predominantly positively-charged spike proteins. These will be ineffective against viruses with predominantly negatively-charged spike proteins. Accordingly, the popular silver metal base for NpC serves just as a construction ingredient, and other metal or metal-oxides which can serve to construct the noted nanoparticle properties would be similarly effective. We suggest that inhalation delivery of the proposed antiviral formulations could be applied as a first-line intervention while respiratory infections are primarily localized to the upper respiratory system and bronchial tree.
Phytochemical Contents of Different Parts of the Seeded Raisins from the South-East Anatolia: Enzyme Inhibitory Potential of Pulp Extracts

In this study, some phytochemical properties of six seeded raisin species that are mainly cultivated in Southeastern Anatolia were investigated. Additionally, some physical and quality characteristics, phenolic contents (by LC-MS/MS; Liquid Chromatography Tandem Mass/Mass Spectrometer System), anticholinesterase, and antioxidant capacities (DPPH; 2,2-diphenyl-1-picrylhydrazyl free-radical scavenging, ABTS; 2,2-azinobis(3-ethylbenzothiazoline-6-sulphonic acid cation-radical scavenging activity and CUPRAC; cupric reducing antioxidant capacity) of the cultivars were investigated on ground raisins. In all three methods, the antioxidant activity values of seed extracts were determined to be higher than those of leaf and pulp extracts. Remarkably, the seed extract of Banazı Siyahı showed the highest antioxidant activity in ABTS (IC50 : 4.35±0.02 μg/mL), DPPH (IC50 : 10.78±0.78 μg/mL), and CUPRAC (A0.5: 9.33±0.45 μg/mL) methods. Additionally, the ethanol extracts of all pulp samples showed higher anticholinesterase activity against acetyl-(AChE) and butyrylcholinesterase (BChE) enzymes than galantamine. According to the LC-MS/MS results, catechin (21.362 mg analyte/g extract) and epicatechin (44.667 mg analyte/g extract) found to be quite rich in Kerküş seed extract and isoquercitrin (116.873 mg analyte/g extract) and astragalin (31.915 mg analyte/g extract) detected to be quite rich in Banazı Siyahı leaf extract. Considering the mineral content of the varieties and the soil samples they grow in, all of the grape varieties analyzed in the study was found to be rich. Based on these findings, it might be suggested that Banazı Siyahı and Kerküş varieties have potential to be utilized in pharmaceutical and food industries, due to their contents of catechins, isoquercitrin and astragalin.
Assessment of vulnerability and hydrogeochemical specifications of Bahabad Yazd Plain aquifer

Available quality groundwater resources are declining globally due to population growth, agricultural activities, industrialization, and urbanization. Wells in Bahabad Plain, located in Yazd Province, Iran, are the primary source of water demanded by humans for drinking and agricultural activities. Hence, it is pivotal to examine the quality of groundwater resources, which is the main objective of this study. To this end, seventeen water samples collected in the region were using standard sampling methods, and ten parameters were examined from the samples, namely pH, TH, TDS, SO4, HCO3, Cl-, K+, Ca+, Mg+, and Na+. Water quality index (WQI) was used to determine water quality, and SI, GODS, and DRASTIC methods were used to examine aquifer vulnerability to contamination. Schoeller's diagram indicated that 11% of the samples were at an excellent level; 33% were at a drinkable level; 20% were at a not-suitable level for drinking; 26% were terrible for drinking; and 10% were at an almost non-drinkable level. According to WQI results, 23.53% of the samples had no limitation for drinking, 35.29 were of low quality, 17.65% were of inferior quality, and 23.53% were non-drinkable. The GODS method results indicated that the eastern, central, western, and small parts sporadically scattered in northern regions of the study area (39.93%) had a moderate vulnerability. Lastly, a significant portion of the northern and southern districts (60.07%) was found to have a low vulnerability to contamination, which was in line with WQI results.
Characteristics of retracted editorial articles in the biomedical literature

The main purpose of this short communication is to identify and analyze retracted editorials in the biomedical literature. Twenty-five of the 33 editorials are chosen for further analysis. All of the editorials were published as commentaries and concise reviews between 1998 and 2021. Due to plagiarism and data-related issues, the majority of the editorial articles were retracted. Alarmingly, one-fifth of the editorials were funded by external agencies, with the USA leading the list of retracted editorials. The average time between the publication of the editorials and their retraction is 2.48 years, and two editorials were retracted with the longest durations; both were written by the same author. The conclusion is that, at the very least, editorial articles should be devoid of research/scientific misconduct.
How Is Mortality Affected by Fossil Fuel Consumption, CO2 Emissions and Economic Factors in CIS Region?

It is widely discussed that GDP growth has a vague impact on environmental pollution due to carbon dioxide emissions from fossil fuels consumed in production, transportation, and power generation. The main purpose of this study is to investigate the relationships between economic growth, fossil fuel consumption, mortality (from cardiovascular disease (CVD), diabetes mellitus (DM), cancer, and chronic respiratory disease (CRD), and environmental pollution since environmental pollution can be a reason for societal mortality rate increases. This study uses the generalized method of moments (GMM) estimation technique for the Commonwealth of Independent States (CIS) members for the period from 1993-2018. The major results revealed that the highest variability of mortality could be explained by CO2 variability. Regarding fossil fuel consumption, the estimation proved that this variable positively affects mortality from CVD, DM, cancer, and CRD. Additionally, any improvements in the human development index (HDI) have a negative effect on mortality increases from CVD, DM, cancer, and CRD in the CIS region. It is recommended that the CIS members implement different policies to improve energy transitions, indicating movement from fossil fuel energy sources to renewable sources. Moreover, we recommend the CIS members enhance various policies for easy access to electricity from green sources and increase the renewable supply through improved technologies, sustainable economic growth, and increase the use of green sources in daily social life.
Distinct gene regulatory signatures of dominance rank and social bond strength in wild baboons

The social environment is a major determinant of morbidity, mortality and Darwinian fitness in social animals. Recent studies have begun to uncover the molecular processes associated with these relationships, but the degree to which they vary across different dimensions of the social environment remains unclear. Here, we draw on a long-term field study of wild baboons to compare the signatures of affiliative and competitive aspects of the social environment in white blood cell gene regulation, under both immune-stimulated and non-stimulated conditions. We find that the effects of dominance rank on gene expression are directionally opposite in males versus females, such that high-ranking males resemble low-ranking females, and vice versa. Among females, rank and social bond strength are both reflected in the activity of cellular metabolism and proliferation genes. However, while we observe pronounced rank-related differences in baseline immune gene activity, only bond strength predicts the fold-change response to immune (lipopolysaccharide) stimulation. Together, our results indicate that the directionality and magnitude of social effects on gene regulation depend on the aspect of the social environment under study. This heterogeneity may help explain why social environmental effects on health and longevity can also vary between measures. This article is part of the theme issue 'The centennial of the pecking order: current state and future prospects for the study of dominance hierarchies'.
Solar energy potential assessment: A framework to integrate geographic, technological, and economic indices for a potential analysis

To develop solar energy as a primary source of electricity supply in China, it is imperative to also develop an overall and complete solar energy potential analysis. Such an analysis technique would be a substantial contribution to solar power generation development both nationally and regionally. This study analyzes the spatial and temporal distribution of solar energy in China and estimates the solar energy potential from three aspects: geography, technology, and economy. The results of this research showed that the solar energy resource in China is substantially rich and stable, but also has notable spatial heterogeneity. A potential estimation indicated that Xinjiang Province was the most optimal site for large-scale photovoltaic station construction, displaying the highest values for all three potentials. It was also found that solar energy potential in western China is greater, while the eastern region is less suitable for solar photovoltaic development. These results can provide support for the large-scale development and utilization of solar energy resources in the future. (C) 2019 Elsevier Ltd. All rights reserved.
Economic and resource and environmental carrying capacity trade-off analysis in the Haihe River basin in China

Resources and environment provide the fundamental conditions for human beings to live. Coordinating the relationship between resources and environmental protection and economic development is a necessary measure for humans to pursue sustainable development. To explore the Haihe River basin's economic and resource carrying capacity development, 26 indexes from 2000 to 2016 were selected based on pressure state response model selection. Through the TOPSIS model, the entropy method, the exponential smoothing method, and the Hurst index, the comprehensive capacity of the Haihe River is constructed. This study aims to quantify each carrying capacity of the Haihe River basin and analyse their levels and characteristics, with an emphasis on the trade-off analysis between economic carrying capacity and resource and environmental carrying capacity; finally, the study aims to predict the development of each type of carrying capacity. The results showed that in the Haihe River basin, there's dramatic change in comprehensive carrying capacity's level and subsystems from 2000 to 2016. The resource and environmental carrying capacity have negative correlation with economic carrying capacity, while a positive correlation between talent carrying capacity and economic carrying capacity. Based on prediction, from 2017 to 2021, the level of development of each capacity subsystem indicated an increase in sustainability. This research provides a trade-off analysis between the economic and resource and environmental carrying capacity. The study also offers a theoretical basis to the coordinated development of various carrying capacities, which has reference significance for promoting the sustainable development of the river basin. (C) 2020 Elsevier Ltd. All rights reserved.
The role of technology innovation and people's connectivity in testing environmental Kuznets curve and pollution heaven hypotheses across the Belt and Road host countries: new evidence from Method of Moments Quantile Regression

The Belt and Road Initiative (BRI) is closely linked to the ecological sustainability of the infrastructure ventures that intrinsically include the aspects of climate change and pollution. Though there exists literature on the environmental Kuznets curve (EKC) and pollution haven hypothesis (PHH), very few explore the scope in the light of Belt and Road host countries (B&RCs). Therefore, the study examines the income-induced EKC and Chinese outward foreign direct investment (FDI)-based PHH in the multivariate framework of people's connectivity and technology innovation in B&RCs from 2003 to 2018. The outcome of the study reveals that the observed relationship is quantile-dependent, which may disclose misleading results in previous studies using traditional methodologies that address the averages. Utilizing the novel "Method of Moments Quantile Regression (MMQR)" of Machado and Silva (J Econom 213:145-173, 2019), the findings confirm an inverted U-shape association between economic growth and CO(2)emissions only at lower to medium emission countries, thus validating the EKC hypothesis. The Chinese outward FDI flows increase carbon emissions at medium to high emission countries, thereby confirming PHH. The findings also indicate that people's connectivity contributes to increasing emissions while innovation mitigates carbon emissions at lower to medium polluted countries. Moreover, the outcomes of Granger causality confirm one-way causality between economic growth and CO(2)emissions, between FDI and CO(2)emissions, between people's connectivity and CO(2)emissions, and between innovation and CO(2)emissions. The results offer valuable insight for legislators to counteract CO(2)emissions in B&RCs through innovation-led energy conservation in infrastructure projects while adopting green and sustainable financing mechanisms to materialize mega construction projects under the BRI.
The long-term spatial and temporal distribution of aerosol optical depth and its associated atmospheric circulation over Southeast Africa

Recent studies have revealed significant impact of anthropogenic aerosols to both climate and human health. Even though significant efforts have been made across the globe, studies related to aerosols over Southeast Africa remain scanty, hence causing high uncertainty in predicting and understanding the impacts of these aerosols. The present study therefore analyzed long-term spatial and temporal distribution of aerosol optical depth at 550 nanometer wavelength (AOD550) over the entire Southeast Africa. Relatively low AOD550 has been detected over the region in comparison to highly polluted regions across the globe. The highest annual average (>0.2) was observed over Lake Malawi, Zambezi valley, and the coastal areas of Central Mozambique while low annual values were recorded over northeast of Mozambique, and the eastern areas of Zimbabwe. In terms of seasonality, AOD550 was observed to be high (>0.3) during the dry months of September-October-November (SON) while being low (<0.1) during March-April-May (MAM) and June-July-August (JJA) in most areas. The seasonality of AOD550 was observed to be highly influenced by changes in seasonal biomass burning and seasonal atmospheric circulation. Statistical analyses revealed an insignificant change of AOD550 between 2002 and 2020 in most areas of the study domain. Regional open burning of biomass like bush fires and burning of crop residues during the dry months are the main sources of aerosol concentration. Therefore, the present study advocates the regulation and institutionalization of proactive and strategic mechanisms that curtail open burning activities within the region.
How do paramedics cope? A scoping review

Exposure to repeated trauma is an inherent component of paramedicine. Additionally, paramedics are exposed to threats that can undermine healthy workplaces, social connectedness, and health behaviour, predisposing them to overwhelming distress and unhealthy coping, including suicidality and psychiatric disorders. This scoping review aimed to identify how paramedics cope. PubMed, PsycINFO and CINAHL were searched between January 1, 2010, to April 21, 2021. Studies were included if they used any research design to identify specific coping strategies used by paramedics. Three studies met the inclusion criteria-two qualitative and one cross-sectional survey design. There was a high risk of bias across all studies. Studies were conducted in Israel, Poland, and the UK, primarily with males. Two studies only identified healthy coping strategies-self-soothing and social and professional support. Unhealthy strategies identified in the third study were limited to negative self-talk and alcohol use, with no mention of other harmful behaviours, social withdrawal, or suicidality. There is limited research describing how paramedics cope, and in particular, how female paramedics cope. Further research exploring the breadth of coping strategies used by paramedics is needed to understand the impact of the work paramedics undertake on coping and inform prevention and support activities.
Machine learning approaches for spatial modeling of agricultural droughts in the south-east region of Queensland Australia

A quantitative understanding of the hydro-environmental factors that influence the occurrence of agricultural drought events would enable more strategic climate change adaptation and drought management plans. Practical drought hazard mapping remains challenging due to possible exclusion of the most pertinent drought drivers, and to the use of inadequate predictive models that cannot describe drought adequately. This research aims to develop new approaches to map agricultural drought hazard with state-of-the-art machine learning models, including classification and regression trees (CART), boosted regression trees (BRT), random forests (RF), multivariate adaptive regression splines (MARS), flexible discriminant analysis (FDA) and support vector machines (SVM). Hydro-environmental datasets were used to calculate the relative departure of soil moisture (RDSM) for eight severe droughts for drought-prone southeast Queensland, Australia, over the period 1994-2013. RDSM was then used to generate an agricultural drought inventory map. Eight hydro-environmental factors were used as potential predictors of drought. The goodness-of-fit and predictive performance of all models were evaluated using different threshold-dependent and threshold-independent methods, including the true skill statistic (TSS), Efficiency (E), F-score, and the area under the receiver operating characteristic curve (AUCROC). The RF model (AUC-ROC = 97.7%, TSS = 0.873, E = 0.929, F-score = 0.898) yielded the highest accuracy, while the MA model (with AUC-ROC = 73.9%, TSS = 0.424, E = 0.719, F-score = 0.512) showed the worst performance. The plant available water holding capacity (PAWC), mean annual precipitation, and day content were the most important variables to be used for predicting the agricultural drought. About 21.2% of the area is in high or very high drought risk classes, and therefore, warrant drought and environmental protection policies. Importantly, the models do not require data on the precipitation anomaly for any given drought year; the spatial patterns in AGH were consistent for all drought events, despite very different spatial patterns in precipitation anomaly among events. Such machine-learning approaches are able to construct an overall risk map, thus assisting in the adoption of a robust drought contingency planning measure not only for this area, but also, in other regions where drought presents a pressing challenge, including its influence on key practical dimensions of social, environmental and economic sustainability. (C) 2019 Elsevier B.V. All rights reserved.
Study on coupling coordination and spatiotemporal heterogeneity between economic development and ecological environment of cities along the Yellow River Basin

The Yellow River Basin (YRB) is an important ecological barrier and an important economic zone in China. Under the new requirements of realizing ecological protection and high-quality development of the YRB, the coordinated development of basin economic development and ecological environment is an urgent research topic. Taking 36 cities along the Yellow River Basin as samples, this paper constructs an evaluation index system of economic development and ecological environment. The coupling coordination model and geographical weighted regression were adopted to analyze the coupling coordination relationship between economic development and ecological environment from 2008 to 2017, and the influencing factors were analyzed. The results showed that (1) the coupling coordination of urban economic development and ecological environment along the YRB showed significant regional heterogeneity, forming a low-value sag of the Loess Plateau; (2) the regional hot spots in the downstream of the YRB continuously extended inland, while these in the midstream converged; (3) the coupling coordination degree between economic development and ecological environment is affected by factors such as population size, openness, and advanced industrial structure, and the intensity varies significantly among regions.