ahmedabdelwahed/Medical_papers_title_and_abstract_NLP_dataset huggingface dataset:
Assessment of flash flood risk based on improved analytic hierarchy process method and integrated maximum likelihood clustering algorithm

Flash floods are one of the most severe natural disasters throughout the world, and are responsible for sizeable social and economic losses, as well as countless injuries and death. Risk assessment, which identifies areas susceptible to flooding, has been shown to be an effective tool for managing and mitigating flash floods. The study aims to introduce the methods to determine the weights of the risk indices, and identify the different risk clusters. In this regard, we proposed a methodology for comprehensively assessing flash flood risk in a GIS environment, by the improved analytic hierarchy process (IAHP) method, and an integration of iterative self-organizing data (ISODATA) analysis and maximum likelihood (ISO-Maximum) clustering algorithm. The weight for each risk index is determined by the IAHP, which integrates the subjective characteristics with objective attributes of the assessment data. Based on the data mining technology, the integration of ISO-Maximum clustering algorithm derives a more reasonable classification. The Guangdong Province of China was selected for testing the proposed method's applicability, and we used a receiver operating characteristics (ROC) curve approach to validate the modeling of the flash-flood risk distribution. The validation against the historical flash flood data indicates a high reliability of this method for comprehensive flash flood risk assessment. In order to verify the proposed method's superiority, in addition, the technique for order performance by similarity to ideal solution (TOPSIS) and the weights-of-evidence (WE) methods are used for comparison with the IAHP and ISO-Maximum clustering algorithm method. Moreover, we analyzed and compared the regularity of flash floods in the rural and urban areas. This study not only provides a new approach for large-scale flash flood comprehensive risk assessment, but also assists researchers and local decision-makers in designing flash flood mitigation strategies.
The moderating role of energy consumption in the carbon emissions-income nexus in middle-income countries

We examine the role of energy consumption in moderating the carbon dioxide emissions-income nexus in 64 middle income countries and compute the marginal effects of real GDP per capita on carbon dioxide emissions at various levels of energy consumption. To do so, we employ multiplicative interaction models because the traditional quadratic Environmental Kuznets Curve model cannot capture the marginal effects. We also use empirical techniques that can account for cross-sectional dependence, such as the Westerlund cointegration test and the Augmented Mean Group estimator. While the marginal effects of GDP on carbon dioxide emissions at the minimum, mean and maximum levels of energy consumption are 9.996, 9.210 and 8.452, respectively, we find no significant evidence that energy consumption moderates the relationship between income and carbon emissions in the panel. However, when we focus on specific countries, we find that energy consumption moderates the nexus between carbon emissions and income in roughly one-third of our sample and that the moderating effect is negative in about one fifth of the sample. We conclude with a discussion on why the moderating effect of energy consumption on the carbon emissions-income nexus differs between countries and offer some policy recommendations that are grounded in the main findings.
Heterologous expression, characterization and evolution prediction of a diaphorase from Geobacillus sp. Y4.1MC1

β-hydroxybutyric acid is the most sensitive indicator in ketoacidosis detection, and accounts for nearly 78% of the ketone bodies. Diaphorase is commonly used to detect the β-hydroxybutyric acid in clinical diagnosis. However, the extraction of diaphorase from animal myocardium is complex and low-yield, which is not convenient for large-scale production. In this study, a diaphorase from Geobacillus sp. Y4.1MC1 was efficiently heterologous expressed and purified in E. coli with a yield of 110 mg/L culture. The optimal temperature and pH of this recombinant diaphorase (rDIA) were 55 °C and 6.5, respectively. It was proved that rDIA was a dual acid- and thermo-stable enzyme, and which showed much more accurate detection of β-hydroxybutyric acid than the commercial enzyme. Additionally, we also investigated the molecular interaction of rDIA with the substrate, and the conformation transition in different pH values by using homology modeling and molecular dynamics simulation. The results showed that 141-161 domain of rDIA played important role in the structure changes and conformations transmission at different pH values. Moreover, it was predicted that F105W, F105R, and M186R mutants were able to improve the binding affinity of rDIA, and A2Y, P35F, Q36D, N210L, F211Y mutants were benefit for the stability of rDIA.
Analysis of microplastics in a remote region of the Tibetan Plateau: Implications for natural environmental response to human activities

Microplastics are one of the most valuable indicators reflecting the effects of human activities on natural environment. This study was conducted in a representative remote region of Tibetan Plateau in China, simultaneously analyzing the abundance, compositions and fate of MPs both in water and soil media. MPs were detected in surface water, sediment and soil with abundances ranging from 66.6 to 7333 number/m(3), 20 to 160 items/kg, and 20 to 110 items/kg, respectively. Fibers were the most frequently observed shape in the surface water and sediment, while the dominant shape in the soil was film. The major polymers of MPs in water and soil samples were polypropylene (PP) and polyethylene (PE). Small MPs were the main components with the <500 mu m fraction accounting for 94.74%, 88.37% and 88.34% of total MP particles in surface water, sediment and soil, respectively. Correlation analysis was further conducted to identify the sources of MPs from different human activities. The night light index was innovatively used to represent population rather than local residents, considering the large number of tourists in this region. It was found that tourism was the main source of MPs in water bodies, while facility agriculture and previous secondary industry are major contributors to soil MPs. A simplified equation set for MP abundance prediction was also formulated related to different industrial features. This study provides an evidence of noticeable MPs associated with human activities even at remote regions, and advances a feasible tool for MPs prediction according to local economic development. Capsule: The effect of human activities on natural environment in a remote region was illustrated by evaluating the abundance, compositions and fate of MPs across freshwater and terrestrial environment. (C) 2020 Elsevier B.V. All rights reserved.
Factors affecting household food waste among young consumers and actions to prevent it. A comparison among UK, Spain and Italy

Food waste is a critical issue with multiple ethical, environmental and economic consequences. The aim of this study is to investigate which factors most affect food waste and determine what actions are undertaken to prevent it at the household level. The study, while privileging a behavioural perspective, focuses on the overall consumption process, from purchasing through final food consumption, thus assuming a broad perspective. The data for this study were collected among Italian, Spanish and English populations using three public online questionnaires administered from January to September 2017. This resulted in a total of 3323 usable questionnaires referring to a sample population aged between 18 and 35 years. As for the main motivation to waste food, the research findings provide strong evidence of the importance of in-store behaviour and food management at home in reducing the frequency of food waste in all the three countries examined. As for the actions preventing food waste, the consumption of leftovers appears as a relevant determinant in minimising food waste. The findings confirm that food waste is a complex issue that requires a broad approach of analysis considering several factors simultaneously. The study also provides further insights regarding the relationship between eating outside the home and food waste, which is a topic of debate in the extant literature. Finally, the study improves the overall knowledge about actions that prevent food waste, which have previously been poorly investigated.
The impacts of globalization, financial development, government expenditures, and institutional quality on CO2 emissions in the presence of environmental Kuznets curve

The main objective of this study is to examine the impacts of globalization, financial development, government expenditures, and institutional quality on CO2 emissions, incorporating energy consumption, and GDP per capita in the Environmental Kuznets Curve (EKC) model for 47 Emerging Market and Developing Economies (EMDEs) between 1990 and 2014. Owing to the presence of cross-sectional dependence and slope heterogeneity in the panel data, CADF and CIPS unit root tests are employed to validate the stationarity of the variables. Westerlund (Oxf Bull Econ Stat 69:709-748, 2007) and Banerjee and Carrion-i-Silvestre (J Time Ser Anal 38:610-636, 2017) cointegration tests denote the occurrence of cointegration among the variables. We employed CCEMG, AMG, and DCCE estimators to estimate heterogeneous parameters. The findings demonstrate that globalization, financial development, and energy consumption increase CO2 emissions. Besides, the EKC hypothesis is affirmed in EMDEs. The accrual of governments' financial and governance activities also boosts carbon dioxide emissions. Moreover, the analysis of Dumitrescu and Hurlin causality provides evidences for the feedbacks among the variables and CO2 emissions. From the aforementioned results, there exists the trade-off effect between economic growth and environmental quality in EMDE countries. Finally, the empirical findings of this study indicate profound implications for policy makers, which recommend governments to consider the role of finance and governance in order to ensure that energy consumption, financial development, and sustainable economic growth are in harmony with the environment in the globalization era.
The Sources of Political Normativity: the Case for Instrumental and Epistemic Normativity in Political Realism

This article argues that political realists have at least two strategies to provide distinctively political normative judgements that have nothing to do with morality. The first ground is instrumental normativity, which states that if we believe that something is a necessary means to a goal we have, we have a reason to do it. In politics, certain means are required by any ends we may intend to pursue. The second ground is epistemic normativity, stating that if something is (empirically) true, this gives us a reason to believe it. In politics, there are certain empirical regularities that ought to be acknowledged for what they are. Both sources are flawed. Instrumental normativity only requires coherence between attitudes and beliefs, and one can hang on to false beliefs to preserve attitudes incompatible with reality. I may desire to eschew power relations, and accordingly I may imagine politics to be like a camping trip. Epistemic normativity, on the other hand, operates critically, striking down existing normative claims. It shows us that politics is nothing like a camping trip, but it doesn't tell us what we should do about it (beyond abandoning some false beliefs). We conclude by showing that if the two are taken together, they remedy each other's flaws.
Renewable hydrogen production: A techno-economic comparison of photoelectrochemical cells and photovoltaic-electrolysis

The present paper reports a techno-economic analysis of two solar assisted hydrogen production technologies: a photoelectrochemical (PEC) system and its major competitor, a photovoltaic system connected to a conventional water electrolyzer (PV-E system). A comparison between these two types was performed to identify the more promising technology based on the levelized cost of hydrogen (LCOH). The technical evaluation was carried out by considering proven designs and materials for the PV-E system, and a conceptually design for the PEC system extrapolated to future, commercial scale. The LCOH for the off-grid PV-E system was found to be 6.22 $/kg(H2), with a solar to hydrogen efficiency of 10.9%. For the PEC system, with a similar efficiency of 10%, the LCOH was calculated to be much higher, namely 8.43 $/kg(H2). A sensitivity analysis reveals a great uncertainty in the LCOH of the prospective PEC system. This implies that much effort would be needed for this technology to become competitive on the market. Therefore we conclude that the potential techno-economic benefits that PEC systems offer over PV-E are uncertain, and even in the best case, limited. While research into photoelectrochemical cells remains of interest, it presents a poor case for dedicated investment in the technology's development and scale-up. (c) 2020 The Author(s). Published by Elsevier Ltd on behalf of Hydrogen Energy Publications LLC.
COVID-19 outbreak and the role of digital twin

COVID-19 has transformed the life of human beings and digital twin infrastructure can facilitates working remotely during COVID-19 outbreak by reducing burden on services and infrastructure. Currently, many organizations are installing and developing devices such as thermal cameras, sensors aiming to minimize human contact and so forth, in addition to enforcing social distancing resulting in reducing the risk of transmission. Due to economic reasons, lockdown restrictions are being relaxed/lifted in many countries and Pakistan which is one of the most densely populated countries in the world with a population of 220 + million is no exception. Though, Pakistan contained the first two waves of coronavirus infections reasonably well but the country is struggling to contain the third wave of the spread due to violations of social distancing norms. While our predictions may deviate from official statistics due to lack of mass testing and existence of asymptomatic infections, the described approach predicts the possible actual burden of infection over times. In view of the unique demographics, our data quantify the efficacy of social distancing as an effective measure to forestall the infection. We highlight few areas where digital twins can be created/deployed to provide services and essential facilities to citizens as COVID-19 is expected to have permanent impact on the way we work.
Recycled aggregates from construction and demolition wastes as alternative filling materials for highway subgrades in China

With the rapid advancement of urbanization in China, a huge amount of construction and demolition wastes (CDW) are generated. Recycling CDW into subgrade materials is a promising way to process these wastes, with significant environmental and economic benefits. But very little work has been done in this field. Therefore, based on a CDW subgrade construction case in Beijing, the physical and chemical properties of the CDW materials were analyzed. Then the construction procedures of the CDW subgrade were presented, and a series of tests (compaction degree test, settlement observation, Portable Falling Weight Deflectometer test) were carried out. At the same time, the effects of different loose paving thicknesses, cycles of strong vibration on the subgrade performances were assayed. Subsequently, grading analysis of the CDW particles, plate load test and Beckman beam deflection test were performed to evaluate the construction quality. According to the test results, the construction technologies of the CDW subgrade, such as the optimum loose paving thicknesses and cycles of strong vibration, were determined. And then, the post-construction settlement monitor and radar survey were conducted for subgrades filled with CDW and soil to further analyze the applicability of CDW. The results show that recycled CDW aggregates with proper grading and strict construction technologies perform well. The subgrade filled with recycled CDW has a smaller deformation than that of the soil subgrade. Finally, the life cycle assessments (LCA) of two treating schemes of CDW were conducted to analyze the environmental benifits: recycling utilization as subgrade materials and directly landfilling. If the subgrade is filled with the recycled CDW aggregates, CDW will be consumed in large quantities and the environmental impactions of eutrophication and ecotoxicity can be reduced obviously. (C) 2020 Elsevier Ltd. All rights reserved.
Systematic reinstatement of highly sacred Ficuskrishnae based on differences in morphology and DNA barcoding from Ficusbenghalensis (Moraceae)

Ficuskrishnae is considered as native to India and is well-known for the peculiarity in nature of its cup-shaped leaves where both the vernacular name (Krishna Fig) and specific epithet were derived. The taxonomic status of Ficuskrishnae is still unclear and currently treated as a subspecies or variety under Ficusbenghalensis. In the present study, morphological characters and molecular analysis were employed to address their species delimitation. The spacer markers ITS2 and trnH-psbA were used for constructing phylogenetic trees along with morphometric analysis. Ficuskrishnae distinctly differs from Ficusbenghalensis by having cup-forming leaves and the nature of the aerial roots, stipules, petioles, ostiolar bracts of the receptacle, DNA content, chromosome differences and nodal anatomy. The results showed that the highest divergence is observed in trnH-psbA (20.8 ± 12.2), followed by ITS2 (5.7 ± 3.2). The phylogenetic tree construction using Bayesian analysis showed a divergent boundary between the two species suggesting that F.krishnae could be an independent species, not a variety of F.benghalensis. The present study's findings support the view that these two floras can be treated as different species.
Copy number variation of GAL3ST1 gene is associated with growth traits of Chinese cattle

Copy number variation (CNV) is a type of genomic structural variation, and the research on it has flourished in recent years. According to the high-throughput sequencing data, we found that the copy number variation region of the GAL3ST1 gene was correlated with the growth traits of bovine. It is significant that we study the CNV of GAL3ST1 gene and process the association analysis between results of Q-PCR and growth traits of Chinese cattle. In this research, SPSS software was used to detect the distribution of GAL3ST1 gene copy number in four cattle breeds and the correlation of growth traits was analyzed. Correlation analysis showed that GAL3ST1 CNV had positive effects on some growth traits of bovine (p < 0.05). In addition, the study detects the expression of GAL3ST1 gene in different tissues of Xia'nan cattles on mRNA level. The result showed that GAL3ST1 gene has different expression conditions in different tissues, results showed that the expression level was high in intestine and low in liver tissue. In a word, we speculated that the GAL3ST1 gene can be used as a molecular marker and this study confirmed that the CNV of it can provide theoretical basis for molecular breeding of cattle in China.
Managing the water-energy-food nexus in China by adjusting critical final demands and supply chains: An input-output analysis

The rapid population growth in China has increased the demand for limited water, energy and food resources. Because the resource supply is constrained by future uncertainties such as climate change, it is necessary to examine the connections among water, energy and food resources from the perspective of the relevant final demands. Based on an input-output model and structural path analysis, this study aims to explore the hidden connections among water, energy and food resources by identifying important final demands and examine how these resources are embodied in upstream production and downstream consumption processes along the supply chain. The water-energy-food nexus approach in this research identifies where and how these resources intersect in economic sectors. By simultaneously considering the water, energy and food footprints, synergistic effects can be maximized among these resource systems. The results reveal that urban household consumption and fixed capital formation have large impacts on water-energy-food resources. Besides, agriculture, construction and service sectors have the largest water-energy-food footprints. For each resource, we rank the top-20 supply chain paths from the final demands to the upstream production sectors, and six critical supply chain paths are identified as important contributors to the consumption of all these resources. Compared with independent approach to manage water, energy and food resources, the nexus approach identifies the critical linkages of the water, energy and food systems and helps to formulate integrated policies to effectively manage these resources across sectors and actors. Synergistic strategies for conserving water, energy, and food resources can be achieved through avoiding unnecessary waste in end uses and improving resource use efficiency along critical supply chains. This research can help consumers, industries and the government make responsible consumption and production decisions to conserve water, energy and food resources. (C) 2020 Elsevier B.V. All rights reserved.
The genes for sensory perception of sound should be considered in gene diagnosis of congenital sensorineural hearing loss and microtia

Congenital sensorineural hearing loss (CSHL) and microtia are development-related diseases, sharing some factors and affecting children's hearing. However, genetic tests only focus on CSHL. We try to identify the common molecular mechanism of CSHL and microtia as candidates combining gene diagnosis biomarkers. Whole-exon sequencing (WES), Sanger sequencing, qPCR, and bioinformatics analyses were performed in microtia family (F1), family two, whose proband suffered from microtia and CSHL (F2), five microtia, and four CSHL individuals, respectively. We found that 40% microtia and 40% CSHL relevant genes were detected in F1 and a sharing pathway: the sensory perception of sound was identified. Moreover, the copy number variation in proband F2 was identified in one gene of the sharing pathway: EYA1. Meanwhile, two variants of BUB3 were identified in F1 data. BUB3 is related to development, dog ear type, direct and indirect interaction with microtia, and CSHL relevant genes. Notably, although the allele frequency of two variants of BUB3 showed significant differences between microtia and CSHL, the special microtia-relevant genotype also could be detected in one CSHL sample. These results suggest that the sensory perception of sound and the development of relevant pathways may be the common pathways of microtia and CSHL. Genes of these pathways can be used as candidates combining gene diagnosis biomarkers.