ahmedabdelwahed/Medical_papers_title_and_abstract_NLP_dataset huggingface dataset:
Dimensional characteristics of the major types of amphibole mineral particles and the implications for carcinogenic risk assessment

Context: Though some significant advances have been made in recent decades to evaluate the importance of size and morphology (habit) of elongate mineral particles (EMPs), further research is needed to better understand the role of each dimensional metric in determining the levels of cancer potency.Objective: To determine dimensional parameters most relevant for predicting cancer potency of durable elongate particles, specifically amphibole and durable silicate minerals generally.Methods: A database on dimensional and other relevant characteristics of elongate amphibole mineral particles was created, containing particle-by-particle information for 128 099 particles. Integral statistical characteristics on dimensionality of various amphibole types and morphological habits of EMPs were calculated, compared, and correlated with published mesothelioma and lung cancer potency factors.Results: The highest absolute Pearson correlation (r = 0.97, r2 = 0.94, p < 0.05) was achieved between mesothelioma potency (RM) and specific surface area. The highest correlation with adjusted lung cancer potency was found with particle aspect ratio (AR) (r = 0.80, r2 = 0.64, p < 0.05). Cluster analysis demonstrates that fractions of thin fibers (width less than 0.15 and 0.25 µm) also closely relate both to lung cancer and RM. Asbestiform and non-asbestiform populations of amphiboles significantly differ by dimensionality and carcinogenic potency.Conclusions: Dimensional parameters and morphological habits of EMPs are the main drivers for the observable difference in cancer potency among amphibole populations.
Genetic characterization of influenza A virus subtypes H11N6, H11N7, and H11N9 isolated from free-grazing ducks, Thailand

Influenza A viruses (IAVs) infect avian species and several mammalian species including humans. Anseriformes water birds are an important reservoir of IAVs. In this study, we identified and characterized IAV subtypes H11N6 (n = 5), H11N7 (n = 3), and H11N9 (n = 3) isolated during the influenza surveillance program in free-grazing ducks from 2012 to 2015 in Thailand. Eleven IAV-H11 viruses were characterized by either whole genome sequencing (n = 5) or HA and NA gene sequencing (n = 6) for phylogenetic and amino acid analyses. Phylogenetic analysis showed that Thai IAV-H11 were grouped into Avian Eurasian lineage. Amino acid analysis showed that all Thai IAV-H11 viruses have low pathogenic avian influenza (LPAI) characteristics and sensitive to Oseltamivir and Amantadine. Novel reassortant viruses (IAV-H11N7 and IAV-H11N9) have been observed. The reassortant viruses contained NP, M, and NS gene segments which originate from intercontinental sources which never been reported in Thai IAVs. In summary, this study demonstrated high genetic diversity of IAV-H11 circulating in free-grazing ducks. Free-grazing ducks infected with IAVs generated novel reassortant IAV-H11. Thus, surveillance of IAVs in free-grazing ducks should be routinely conducted to monitor novel reassortant viruses and subsequently potential virulence viruses.
Techno-economic evaluation of indirect carbonation for CO2 emissions capture in cement industry: A system dynamics approach

CO2 emissions in the cement industry account for about 8% of the total CO2 emissions worldwide. They mainly originate from limestone calcination and fossil fuel combustion in clinker production. To avoid the 2 degrees C increase in global temperature compared with the pre-industrial global temperature, which was proposed in the COP21 agreement in 2015, the cement industry should reduce CO2 emissions by 24%. Thus, this study evaluates an indirect carbonation CO2 capture and utilization technology for CO2 emissions abatement in the clinker production. The indirect carbonation process was assessed using different hydroxides (Na, Ba, and Ca) as absorbent precursors. Technical evaluation shows that the carbonation process using Na and Ba hydroxides was feasible between 50 and 70 degrees C, with CO2 capture efficiencies of 98% and 65%, respectively. On the contrary, the Ca-based process only obtained an efficiency of 0.5% due to the low solubility of Ca(OH)(2) in water, resulting in technical impracticality. The estimated costs of CO2 capture for Na and Ba processes were assessed at 65 and 140 USD/t CO2, respectively. Moreover, the economic impact of implementing the CO2 capture carbonation technology in a cement plant and the effect of market and governmental conditions on the overall cement plant cashflow were analyzed by integrating technical results and economic evaluation in a system dynamics model. This model was developed to appraise the overall economic impact of CO2 capture on a referential cement plant profits under different market scenarios and a CO2 tax economic policy. System dynamics results showed that market factors, such as the carbonate demand, limit the CO2 capture potential of the indirect carbonation technology. Moreover, it was noticed that the implementation of the NaOH and Ba(OH)(2) carbonation technologies reduces cement plant profits by 55% and 5%, respectively, when CO2 emissions were reduced by 65% in both scenarios. Furthermore, the application of a CO2 tax between 20 and 80 USD/t CO2 emitted will encourage the implementation of CO2 capture technologies, with the aim to reduce its emissions by 24% via cement plants. (C) 2020 Elsevier Ltd. All rights reserved.
Social media user's knowledge on soil plant relationship in Saudi Arabia

The study aimed to investigate the soil-plant relationship by looking at knowledge levels of social media users. The study examined the relationship between the users' characteristics and their knowledge on soil-plant relationship. Online survey was designed and distributed to gather the data. The number of response was received from 383 respondents where 375 participants provided completed information and the remaining eight responses were eliminated due to quality standards. The results show most of the participants (68.8%) are moderately depend on social media to acquire knowledge on soil-plant relationship and indicated "Twitter" as the highly utilized platform followed by the "Youtube". Meanwhile, 48.8% of the participants indicated that social media have a high impact on their knowledge-based information on soil-plant relationship and agricultural contents. Inferential analysis shows there was a significant positive relationship (p < 0.01) between independent variables; Twitter, Youtube, Instagram, and Snapchat and the degree of trust on these platforms, and the level's knowledge on soil-plant relationship (dependent variable). Only 13% of the variance accounted for the impact of social media on participants' agricultural knowledge-base can be predicted from the combination of participants' reliance on a set of social media platforms (Twitter, Instagram, Youtube, and Snapchat). The study revealed the trust and confidence of the users using social media on agricultural information/soil plant relationship had a medium effect in social and educational research.
Empirical generalizations in eco-innovation: A meta-analytic approach

Although discussions on eco-innovation are ongoing and the concept is evolving, its central idea is highly stimulating. Thus, a great number of studies has been conducted in recent years around the world based on different perspectives, contexts and outcomes. Therefore, the identification and analysis of factors related to eco-innovation are essential if knowledge in this field is to be improved and consolidated. This research aimed to advance our understanding of the different dimensions of eco-innovation through a meta-analytical review of its antecedents or drivers, consequents and moderators. Thus, a total of 71 studies was analysed, generating 818 effect sizes and 220,582 cumulative samples. The main findings revealed that barriers, company capabilities, environmental regulation, market turbulence, information sources, R&D and company size were significant antecedents to eco-innovation. It was also noted that a significance relationship exists between eco-innovation and firm performance. Regarding the moderating effect, it was observed that culture, the economic situation of the country and context influence the relationship between eco-innovation and performance. The results revealed that countries with a lower HDI presented stronger effects between eco-innovation and firm performance than countries with a higher HDI. These findings were interesting because they could demonstrate that eco-innovation tends to promote more competitive advantage in countries with environmental problems and consequently a lower HDI. (C) 2019 Elsevier Ltd. All rights reserved.
Developing novel 5th generation district energy networks

Integrated smartly controlled energy networks have the potential to deliver significant reductions in carbon emissions, improve air quality and reduce energy costs for end-users across the world. This paper introduces a novel methodology for the development of integrated thermal, power and mobility 5th generation (5G) smart energy networks. The proposed 5G concept builds on state of the art by connecting flexible electricity demands such as heat pumps, and electric vehicles to intermittent, renewable and secondary energy sources and storage using artificial intelligence to facilitate optimal control and to maximise revenue and carbon savings. The proposed innovative method is being applied in central London through the development of two independent 5G smart energy schemes. The proposed schemes will incorporate a range of different renewables and secondary energy sources, for example, waste heat from local data centres and the London Underground that will supply a large proportion of the energy demand of the overall district network capacity. Both networks will operate at close to ambient temperature, approximately 15-25 degrees C as a so-called 'ambient loop' system, with individual heat pumps for each end-user or building connected to the network. The system also integrates thermal and electrical storage to create additional flexibility for the network and smart control for demand-side management. A smart management system flexibly controls individual assets such as heat pumps and electric vehicles in response to price signals reflecting the intermittency of renewable energy sources on the electricity grid. The ambient district thermal loop will distribute low carbon energy to a range of end users. Results presented in this paper provide an understanding of capital costs associated with integrated smart energy systems and the relative performance of individual technologies in a complex system using a techno-economic modelling approach. Overall, this paper demonstrates that the implementation of the 5G concept results in lower energy costs to consumers while at the same time transforming a large existing urban area to a near zero-carbon energy system in terms of heating, cooling, electricity and transport. (C) 2020 Elsevier Ltd. All rights reserved.
Financial Development and Foreign Direct Investment-The Moderating Role of Quality Institutions

Considering the importance of foreign direct investment (FDI) inflows for the sustainable economic advancement of a host country, this paper investigates the financial development and FDI nexus, using institutional quality as a moderator. The sample consists of 79 Belt and Road Initiative (BRI) partner countries, as these countries are entering a new age of integration, foreign trade, and mutual development. The empirical findings of conventional and robust estimators show that the financial development of BRI host countries significantly attracts FDI, while the institutional quality plays a significant moderating role in this relation. The in-depth analysis offers the insight that financial markets are less attractive to FDI relative to financial institutions. Thus, policymakers are advised to uphold sound financial institutions to make the country more attractive to overseas investors, while concentration on financial markets may multiply the benefits of FDI. The results are robust to alternative proxies of the key variables and alternative methodologies.
Networked control strategy of dual linear switched reluctance motors based time delay tracking system

To reduce the influence of time delay on the tracking performance of a direct-drive motion control system, this paper concentrates on stability analysis and cooperative position tracking control issues for the dual linear switched reluctance motors (LSRMs) system with network-induced time delays. The closed-loop network control system (NCS) is constructed by modeling random and bounded network-induced time delays existing in forward and feedback channels as a discrete-time Markov chain. Incremental time delay information is introduced in Lyapunov functional analysis to satisfy the high-precision movement of master and secondary motors and improve the system control performance. The time delay compensation method is proposed to compensate for the damage to the networked control system caused by random delay. With Lyapunov stability theory and LMI are applied, stability and stabilization conditions with less computational complexity and low conservatism are obtained based on incremental time delay information insertion. Finally, the numerical simulation and the experimental platform of the motor control system are built. Simulation and experiment results demonstrate that the networked control strategy can compensate the negative impact of delay on the tracking performance of LSRMs based motion control system.
Risk assessment for oil leakage under the common threat of multiple natural hazards

Petroleum industry can create enormous wealth and employment opportunities, which is one of the pillars of the national economy. The transportation conditions of petroleum products are complex and changeable. The natural disaster-induced dangerous chemical leakage may damage the ecological environment, which leads to substantial economic losses. It significantly undermines the sustainable development agenda. Therefore, assessing the possibility of leakage and the potential environmental damages becomes a primary task to decision-makers to formulate maintenance plans. This paper evaluated the risk of an oil pipeline leakage under the regional geological disasters. Specifically, risk assessment indicators system was established considering the common threat of multiple natural hazards in the region. The sensitivities of the influence factors were determined using the combined GIS and the contribution rate model. The fuzzy analysis approach was used to process the expert's judgment to obtain a real-time disaster hazard. Meanwhile, in terms of the analysis of pipeline failure causes, the assessment system of disaster resistance ability was developed to determine the possibility of leakage. The leakage-induced environmental losses were quantified by monetary quantification. Finally, the level of environmental risk was determined using a 5 x 5 probability-currency matrix. Case results show that the risk level is medium, thereby appropriate maintenance measures need to be taken to reduce the risk. Overall, this study provides necessary help to prevent the leakage of petroleum products in transportation. Also, the environmental risk presented in the form of currency can promote non-environmental professional risk decision-makers better understand the degree of risk.
Retinoic Acid Deficiency Underlies the Etiology of Midfacial Defects

Embryonic craniofacial development depends on the coordinated outgrowth and fusion of multiple facial primordia, which are populated with cranial neural crest cells and covered by the facial ectoderm. Any disturbance in these developmental events, their progenitor tissues, or signaling pathways can result in craniofacial deformities such as orofacial clefts, which are among the most common birth defects in humans. In the present study, we show that Rdh10 loss of function leads to a substantial reduction in retinoic acid (RA) signaling in the developing frontonasal process during early embryogenesis, which results in a variety of craniofacial anomalies, including midfacial cleft and ectopic chondrogenic nodules. Elevated apoptosis and perturbed cell proliferation in postmigratory cranial neural crest cells and a substantial reduction in Alx1 and Alx3 transcription in the developing frontonasal process were associated with midfacial cleft in Rdh10-deficient mice. More important, expanded Shh signaling in the ventral forebrain, as well as partial abrogation of midfacial defects in Rdh10 mutants via inhibition of Hh signaling, indicates that misregulation of Shh signaling underlies the pathogenesis of reduced RA signaling-associated midfacial defects. Taken together, these data illustrate the precise spatiotemporal function of Rdh10 and RA signaling during early embryogenesis and their importance in orchestrating molecular and cellular events essential for normal midfacial development.
Driving force for China's economic development under Industry 4.0 and circular economy: Technological innovation or structural change?

The integration of the circular economy (CE), a model promoting the cyclical use of resources, and Industry 4.0, an intelligent-based approach to manufacturing, is expected to achieve sustainability. Finding the most suitable path for technological progress and structural change to promote economic growth is the key to adopting Industry 4.0 technologies and successfully transforming to a CE, and thus, key to China achieving sustainable development quickly. This study identifies the joint effects of energy- and environment-biased technological progress and multi-dimensional industrial structural change on economic growth, and empirically verifies the specific effects within China. Our results are as follows. First, pollution abatement technological progress, backstop technological progress and autogenous structural ecologicalization are the main drivers of sustainable economic growth. Second, innovation policies have a positive impact on national economic growth by promoting pollution abatement technological progress. Finally, in sub-regions' regression, backstop and environment technology, and structural ecologicalization promote eastern China's economy, while policies drive environment technological progress and structural ecologicalization to stimulate economic growth in central and western China. Our results imply that policymakers should take into consideration the readiness levels of each region regarding the adoption of Industry 4.0 and circular economy, and that the government should consider and ensure the participation of all stakeholders, including firms. (C) 2020 Elsevier Ltd. All rights reserved.
A Comprehensive Review on the Electrochemical Sensing of Flavonoids

Flavonoids are bioactive polyphenolic compounds, widespread in the plant kingdom. Flavonoids possess broad-spectrum pharmacological effects due to their antioxidant, anti-tumor, anti-neoplastic, anti-mutagenic, anti-microbial, anti-inflammatory, anti-allergic, immunomodulatory, and vasodilatory properties. Care must be taken, since excessive consumption of flavonoids may have adverse effects. Therefore, proper identification, quantification and quality evaluations of flavonoids in edible samples are necessary. Electroanalytical approaches have gained much interest for the analysis of redox behavior and quantification of different flavonoids. Compared to various conventional methods, electrochemical techniques for the analysis of flavonoids offer advantages of high sensitivity, selectivity, low cost, simplicity, biocompatibility, easy on-site evaluation, high accuracy, reproducibility, wide linearity of detection, and low detection limits. This review article focuses on the developments in electrochemical sensing of different flavonoids with emphasis on electrode modification strategies to boost the electrocatalytic activity and analytical efficiency.
Impacts of future climate and land use change on water yield in a semiarid basin in Iran

Studying the interaction between hydrology, land use, and climate change is necessary to support sustainable water resources management. It is unknown how land management interventions in dry climate conditions can benefit water yield in the context of climate and land use change interactions. In this study, we assessed the effects of both land use and predicted climate change on the Mordagh Chay basin water yield using the Integrated Valuation of Ecosystem Services and Tradeoffs model. First, we modeled the current water yield, followed by developing six combined climate-land use scenarios until 2030 based on the CCSM4 climate model for the RCP4.5 and RCP8.5 scenarios. We used three future land use scenarios simulated by the Dyna-CLUE model. The trend scenario of land use change, which does not include any improvements in irrigation efficiency, significantly affected basin water yield under both climate scenarios. Water yield decreases by 19.8% and 31.8% for the RCP4.5 and RCP8.5, respectively. Under all land use scenarios that included improvements in irrigation efficiency, the water yield responded positively. For the RCP4.5 scenario, the water yield was projected to increase between 16.6% and 18% depending on the land use scenario. The increase in water yield under the RCP8.5 climate scenario was much lower than for the RCP4.5 scenario (about one-third). Overall, the results showed that by adopting appropriate irrigation efficiency, it is possible to achieve a better balance between environmental needs and regional economic and agricultural development. The results provide insight into possible sustainable development options and also provide guidance for managing the other Urmia Lake sub-basins, whereas the approach of integrated assessment of climate, land use change, and land management options is also applicable in other conditions to help inform sustainable management.
Technical and economic feasibility of a 50 MW grid-connected solar PV at UENR Nsoatre Campus

The purpose of this study is to investigate the technical and economic feasibility of a 50 MW grid-tied solar photovoltaic plant at UENR Nsoatre Campus. The suitability of the site for PV plant development is initially examined with site assessment criteria. PVsyst software is then used to model, simulate and estimate the performance of three PV technology plants. Economic analysis is conducted on the three PV systems with RETScreen software. NASA SSE solar irradiation data set from NASA website were used for the assessments. Site assessments results showed that mono-crystalline silicon, poly-crystalline silicon, and thin film (CdTe) systems would occupy 9%, 10%, and 13% respectively of the 2000 acres acquired for the campus. The performance analysis showed that monocrystalline silicon, poly-crystalline silicon and thin film (CdTe) systems would export 67315 MW h, 67506 MW h, and 68991 MW h respectively to the grid annually while meeting more than 48% of campus electricity needs. The costs of the energy produced by the systems are 12.4 cents/kWh, 12.3 cents/kWh and 10.9 cents/kWh for mono-crystalline, polycrystalline and thin film systems respectively. The determined costs of energy for the systems are lower than the set feed-in tariff of 14 cents/kWh. NPV was positive for all the systems while; benefits to cost ratios were greater than 1.0 with reasonable payback periods of 7.2 years for crystalline silicon technology systems and 6.4 for thin film technology system. (C) 2019 Elsevier Ltd. All rights reserved.