ahmedabdelwahed/Medical_papers_title_and_abstract_NLP_dataset huggingface dataset:
Does pollution-intensive industrial agglomeration increase residents' health expenditure?

Pollution-intensive industrial agglomeration has become a trend of industrial distribution in China. Does pollution-intensive industrial agglomeration significantly increase residents' health expenditure? By clarifying the environmental effect, economic effect and public service effect of pollution-intensive industrial agglomeration on residents' health expenditure, this paper combined with provincial data to prove the environmental effect, economic effect and public service effect. The results show that: (1) Every 1 % increase in pollution-intensive industries will reduce rural residents' health expenditure by 1.1844 % and increase the health expenditure of urban residents by 1.206 %. (2) The pollution-intensive industrial agglomeration increases the health expenditure by expanding the scale of pollution, reduces the health expenditure by promoting the technological innovation. (3) Pollution-intensive industrial agglomeration increases the health expenditure by enhancing residents' income and reduces the health expenditure by enhancing employment rate. (4) Pollution-intensive industrial agglomeration increases the health expenditure by improving medical services and reduces the residents' health expenditure by promoting the construction of environmental infrastructure. (5) There are a single threshold and a double threshold effects of pollution-intensive industrial agglomeration on health expenditure of rural residents and urban residents, respectively. When the location entropy is higher than 0.4669, the pollutionintensive industrial agglomeration can reduce residents' health expenditure. When the location entropy is less than 0.9861 or greater than 1.027, the pollution-intensive industrial agglomeration increases urban residents' health expenditure. The conclusion of this paper is of great significance in adjusting the distribution of pollution-intensive industries and increasing the health expenditure of residents.
Forecasting the non-renewable energy consumption by an adjacent accumulation grey model

This paper proposes an adjacent accumulation discrete grey model to enhance the prediction accuracy of grey model and improve the utilization of new data. The stability of the proposed model is proved and the new model can obtain higher prediction accuracy through three cases. And it was applied to the prediction of the non-renewable energy consumption in Asia-Pacific Economic Cooperation. It proves that discrete grey model with adjacent accumulation is effective. According to the forecasting results, the oil consumptions in 15 countries have an increasing trend. The coal consumptions of five countries (South Korea, Indonesia, Vietnam, Malaysia and the Philippines) show a clear growth trend and The United States, Canada and Australia all show a downward trend. The consumptions of natural gas in the United States, Mexico, Singapore, China, Vietnam and Peru will all increase. For nuclear energy, China's consumption will increase and South Korea's consumption will decrease. (C) 2020 Elsevier Ltd. All rights reserved.
Integrated analysis of energy-economic development-environmental sustainability nexus: Case study of MENA countries

The new industrialization necessitates the integration of energy efficiency, economic development, and environmental sustainability. However, quantifying the efficiency of renewable energy towards economic development is an ongoing debate. On this basis, this study presents a multi net-put efficiency and conventional efficiency approach to analyze non-renewable energy and renewable energy efficiency towards economic development and environmental sustainability nexus. Data Envelopment Analysis (DEA) is utilized to estimate multi net-put conventional and renewable energy efficiency. Likewise, the Autoregressive Distributed Lag (ARDL) Pooled Mean Group (PMG) approach is applied to examine the impact of non-renewable efficiency on economic growth, total natural resource rent and environmental quality. Results show that the efficiency nexus of conventional energy is significant and higher (98%) than renewable energy (69.5%) for the evaluated period (2006-2016). None-theless, conventional energy efficiency of the panel of MENA countries worsen the environmental quality, thus does not enhance environmental sustainability especially in the long-run. The results also posit that economic growth in the panel of MENA countries is detrimental to the region's environmental sustainability. Further analysis indicates that the inefficiency of renewable energy nexus has more to do with scale size inadequacy rather than operational deficiency. Therefore, resources and policies must be targeted towards up scaling renewable energy capacity accompanied with cautious and target oriented strategy. (C) 2020 Elsevier B.V. All rights reserved.
Effects of heterogeneous technological progress on haze pollution: Evidence from China

Technological progress plays an important role in combating haze pollution in the long run. However, existing studies often ignore the inconsistent effects on the reduction of haze brought by different types of technological progress. Considering the potential heterogeneity among technological progress, this paper constructs a theoretical framework to analyse the impact of heterogeneous technological progress on haze pollution, using annual data from 30 provinces and cities in China for the period of 2003 to 2016. A systematic GMM method is applied to empirically test the effects of neutral technological progress and biased technological progress on haze pollution. The results show that first, due to cost-reduction effect and income effect, neutral technological progress and labour-saving technological progress are conducive to haze reduction; while the impact of capital-saving technological progress on haze pollution is insignificant. Second, because of the energy rebound effect, energy-saving technological progress cannot effectively reduce haze pollution. Third, the haze-reduction effects of different types of technological progress show significant regional heterogeneity in China. Last, in terms of the control variables, strengthening environmental regulation is the only factor that can be helpful in haze reduction, others intensify haze pollution.
Thermodynamics analysis of a novel steam/air biomass gasification combined cooling, heating and power system with solar energy

In order to mitigate inherent intermittency of solar energy and satisfy the energy demands, a novel steam/air biomass gasification combined cooling, heating and power system with solar energy is proposed in this work. In the system concentrated solar energy collected with dish optical configuration is used to generate high temperature steam, which acts as a gasification agent to drive the biomass gasification. When solar radiation intensity is lower than the design point (the maximum in whole year), the hybrid steam/air biomass gasification model is conducted for continuous syngas production. Syngas based chemical energy is released for trigeneration in a distributed system. The reaction kinetics models of steam-biomass gasification using solar energy are developed and the thermodynamics performances of the system are numerical investigated. Under the designate conditions, the primary energy efficiency reaches 51.34%. Based on the local weather data, the off-design performances of the system and the annual energy-saving potential are evaluated. Compared with the reference system that combines a conventional air biomass gasification trigeneration system and a solar dish/Stirling engine system, the new system has remarkable advantage in thermal performances. An economic analysis is conducted to evaluate the technical feasibility of the proposed system. This, research provides a promising method for the efficient utilization of biomass and solar energy.
Differential Expression of Long Non-Coding RNAs and Their Role in Rodent Neuropathic Pain Models

Neuropathic pain, which is accompanied by an unpleasant sensation, affects the patient's quality of life severely. Considering the complexity of the neuropathic pain, there are huge unmet medical needs for it while current effective therapeutics remain far from satisfactory. Accordingly, exploration of mechanisms of neuropathic pain could provide new therapeutic insights. While numerous researches have pointed out the contribution of sensory neuron-immune cell interactions, other mechanisms of action, such as long non-coding RNAs (lncRNAs), also could contribute to the neuropathic pain observed in vivo. LncRNAs have more than 200 nucleotides and were originally considered as transcriptional byproducts. However, recent studies have suggested that lncRNAs played a significant role in gene regulation and disease pathogenesis. A substantial number of long non-coding RNAs were expressed differentially in neuropathic pain models. Besides, therapies targeting specific lncRNAs can significantly ameliorate the development of neuropathic pain, which reveals the contribution of lncRNAs in the generation and maintenance of neuropathic pain and provides a new therapeutic strategy. The primary purpose of this review is to introduce recent studies of lncRNAs on different neuropathic pain models.
Hot-headed peckers: thermographic changes during aggression among juvenile pheasants ( Phasianus colchicus)

In group-living vertebrates, dominance status often covaries with physiological measurements (e.g. glucocorticoid levels), but it is unclear how dominance is linked to dynamic changes in physiological state over a shorter, behavioural timescale. In this observational study, we recorded spontaneous aggression among captive juvenile pheasants (Phasianus colchicus) alongside infrared thermographic measurements of their external temperature, a non-invasive technique previously used to examine stress responses in non-social contexts, where peripheral blood is redirected towards the body core. We found low but highly significant repeatability in maximum head temperature, suggesting individually consistent thermal profiles, and some indication of lower head temperatures in more active behavioural states (e.g. walking compared to resting). These individual differences were partly associated with sex, females being cooler on average than males, but unrelated to body size. During pairwise aggressive encounters, we observed a non-monotonic temperature change, with head temperature dropping rapidly immediately prior to an attack and increasing rapidly afterwards, before returning to baseline levels. This nonlinear pattern was similar for birds in aggressor and recipient roles, but aggressors were slightly hotter on average. Our findings show that aggressive interactions induce rapid temperature changes in dominants and subordinates alike, and highlight infrared thermography as a promising tool for investigating the physiological basis of pecking orders in galliforms. 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'.
Impacts of COVID-19 on Trade and Economic Aspects of Food Security: Evidence from 45 Developing Countries

The stability of food supply chains is crucial to the food security of people around the world. Since the beginning of 2020, this stability has been undergoing one of the most vigorous pressure tests ever due to the COVID-19 outbreak. From a mere health issue, the pandemic has turned into an economic threat to food security globally in the forms of lockdowns, economic decline, food trade restrictions, and rising food inflation. It is safe to assume that the novel health crisis has badly struck the least developed and developing economies, where people are particularly vulnerable to hunger and malnutrition. However, due to the recency of the COVID-19 problem, the impacts of macroeconomic fluctuations on food insecurity have remained scantily explored. In this study, the authors attempted to bridge this gap by revealing interactions between the food security status of people and the dynamics of COVID-19 cases, food trade, food inflation, and currency volatilities. The study was performed in the cases of 45 developing economies distributed to three groups by the level of income. The consecutive application of the autoregressive distributed lag method, Yamamoto's causality test, and variance decomposition analysis allowed the authors to find the food insecurity effects of COVID-19 to be more perceptible in upper-middle-income economies than in the least developed countries. In the latter, food security risks attributed to the emergence of the health crisis were mainly related to economic access to adequate food supply (food inflation), whereas in higher-income developing economies, availability-sided food security risks (food trade restrictions and currency depreciation) were more prevalent. The approach presented in this paper contributes to the establishment of a methodology framework that may equip decision-makers with up-to-date estimations of health crisis effects on economic parameters of food availability and access to staples in food-insecure communities.
Households' Willingness to Accept Improved Ecosystem Services and Influencing Factors: Application of Contingent Valuation Method in Bashang Plateau, Hebei Province, China

The Bashang Plateau, which is an ecologically fragile agro-pastoral zone in Hebei Province in China, plays an important role in protecting the Beijing-Tianjin-Hebei region from wind and sand erosion. Over the last four decades, it has been the target of extensive afforestation campaigns to promote improved ecosystem services. Though the benefits and costs of afforestation and its effectiveness within forestry have been widely investigated, few studies have focused on local households' willingness to accept (WTA) compensation relating to afforestation policies. Moreover, despite their importance in ensuring effective afforestation policies, the factors influencing WTA values have seldom been examined. We administered a direct questionnaire survey of households on the Bashang Plateau and applied a contingent valuation analysis to estimate their WTA values for compensation associated with ecological protection policies. We obtained 249 valid questionnaires, evidencing a high response rate (92.22%). New indicators of factors influencing respondents' WTA has been conducted including social, economic and ecological aspects, especially the improvement of ecological factors which consists of respondents' perceptions regarding the importance of ES and their satisfaction levels, and other environmental awareness factors. Additionally, in the case where many studies performed only one single regression analysis, this study performed a two-stage regression analysis and compared the results with those obtained using the Tobit model. A reasonable compensation standard facilitates a positive relationship between economic development and protection of natural environments. The findings showed that a certain amount of compensation (approximately 477.91 CNY/mu/year) was likely to prompt households' participation in afforestation projects. Compared with compensation standards for other ecological projects, the reported standard for afforestation projects on the Bashang Plateau is low, indicating that there is room for improvement. High annual household incomes are a key factor influencing households' WTA regarding their participation in afforestation activities. The results also revealed households' environmental awareness. Among respondents who participated in afforestation, those who valued forests for protecting environments and improving ecosystem services opted for lower compensation amounts. Our findings contribute valuable inputs for formulating ecological compensation standards and can serve as a reference for analyses of WTA and factors that drive it in other similar economically backward and ecologically fragile regions.
Different eccentric-based power training volumes improve glycemic, lipidemic profile and body composition of females in a dose-dependent manner: Associations with muscle fibres composition adaptations

The present study aimed to investigate the effect of different volumes of fast eccentric-based training on body composition and lipidemic-glycemic profiles in females, as well as to explore the relationship between the change in glycemic-lipidemic profiles and the change in muscle fibre composition. Twenty-nine young females were assigned into three groups and performed 10 weeks (2 training sessions per week) of either 3 (LV), 6 (MV) or 9 (HV) sets/session of four fast velocity eccentric-only half-squats against 70% of concentric 1RM, followed by 3 maximum countermovement jumps (CMJ) after each set. Body composition, vastus lateralis fibre-type composition, and resting blood lipidemic and glycemic indices were evaluated 1 week before and after the training intervention. Significant changes in body composition, fasting glucose, HOMA-IR and blood lipids were found after training with MV and HV (p < 0.05; η2: 0.135-0.390). Significant correlations were found between muscle fibres' percentage cross-sectional areas (%CSA) and resting glycemic-lipid values (r:-0.543to 0.730, p < 0.05). Training-induced changes of glycemic-lipid profiles were highly correlated to those of type IIa and IIx %CSAs (r: -0.895 to 0.898, p < 0.05). Partial Correlations revealed a significant impact of the imposed training volumes on these correlations. These results suggest that six but mostly nine sets per training session of the imposed training stimuli are needed for beneficial changes in resting glycemic-lipidemic profiles, changes which are related to the training-induced changes in muscle fibre composition. However, these relationships are dictated by the imposed training volumes.Highlights Power training induces beneficial changes in body composition, glycemic and lipidemic profiles.Greater training volumes are needed for the healthier changes in glycemic-lipidemic profiles.Higher Type I, IIA and lower IIX percentage cross-sectional areas are linked with healthier body composition and glycemic-lipidemic profiles.Individuals experiencing the greatest increase in Type IIa and decrease in Type IIX muscle fibres cross-sectional areas after power training are those with the greatest beneficial changes in body composition, glycemic and lipidemic profiles.
Optimal sizing and techno-economic analysis of grid-connected nanogrid for tropical climates of the Savannah

Reliability and costs are mainly considered in performance analysis of renewable energy-based distributed grids. Hybrid Optimization of Multiple Energy Renewables was used in techno-economic analysis of renewable energy systems involving photovoltaics, wind, diesel and storage in tropical regions of Amazon, Central Asia and Mediterranean. In a study for a Guinea Savannah region, 70% of renewable energy fraction was achieved. However, levelized cost of energy of 0.689 $/kWh was higher than tariff rate of 0.6 $/kWh. This paper considers Hybrid Optimization of Multiple Energy Renewables to achieve lower levelized cost of energy and net present costs of a nanogrid for increased reliability and low per capita energy consumption of 150 kWh in a Sudan Savannah region of Nigeria. The proposed grid connected nanogrid aims to serve daily residential demand of 355 kWh. A range of 0.0110 $/kWh to 0.0095 $/kWh and $366,210 to $288,680 as negative values of levelized cost of energy and net present cost respectively were realized, implying potentials for a large grid export. The renewable energy fraction of up to 98% was also achieved in addition to low greenhouse gas emission of 2,328 tons/year. The results may further be consolidated with strategies for power dispatch and load scheduling.
Green synthesis of Silver nanoparticles using Streptomyces hirsutus strain SNPGA-8 and their characterization, antimicrobial activity, and anticancer activity against human lung carcinoma cell line A549

The current study described the systematic and detailed extracellular synthesis method of silver nanoparticles (AgNPs) using Streptomyces hirsutus strain SNPGA-8 by green synthesis method. The AgNPs were subjected for characterizations using UV-Vis, FTIR, TGA, TEM, EDX, XRD, and zeta-potential analyses. The antibacterial activity against Staphylococcus aureus, Pseudomonas aeruginosa, Enterococcus faecalis, Escherichia coli, Candida albicans, Alternaria alternata, Candida glabrata and Fusarium oxysporum was determined by the agar well diffusion technique. The cytotoxicity of AgNPs against human lung cancer (A549) was studied by MTT and ROS assays and capping of proteins of AgNPs from SDS-PAGE. In the UV-Vis., absorption peak was found at 418 nm, FTIR analysis revealed the infrared bands of specific functional groups from 3273 cm-1 to 428 cm-1; TEM data confirmed the spherical shape, smallest size of particle as 18.99 nm, while EDX analysis confirmed the elemental composition of AgNPs with 22.24% Ag. The XRD pattern confirmed the nature of AgNPs as crystalline, and zeta potential peak was found at -24.6 mV indicating the higher stability. The AgNPs exhibited increased antimicrobial activity with increase in dosage volume and considerable MIC and MBC values against microbial pathogens. In the MTT cytotoxicity assay, the IC50 value of 31.41 μg/mL is obtained against A549 cell line, suggesting the potential of AgNPs to inhibit the tumour cells; and ROS assay displayed increased ROS production with increase in treatment time. Based on the results, it is evident that Streptomyces hirsutus strain SNPGA-8 AgNPs are potentially promising to be applied for biomedical uses.
Immobilized polymeric sulfonated ionic liquid on core-shell structured Fe3O4/SiO2 composites: A magnetically recyclable catalyst for simultaneous transesterification and esterifications of low-cost oils to biodiesel

In accordance with the need of green and sustainable development, a magnetically recyclable solid catalyst was developed for the transformation of low-cost oils to biodiesel via simultaneous transesterification and esterifications in an efficient and environmentally benign manner. For this aim, the magnetic Fe3O4/SiO2 composites composed of iron oxides as the core and silica as the shell, were prepared, and then polymeric acidic ionic liquid (IL) was immobilized on the magnetic support through radical grafting copolymerization of Bronsted acidic IL, 1-vinyl-3-(3-sulfopropyl)imidazolium hydrogen sulfate, onto the magnetic support. The characterization results showed that the perfect core-shell structured Fe3O4/SiO2 support with good magnetic responsiveness was formed, and the polymeric acidic IL was tethered on the magnetic support. The combination of polymeric acidic IL with magnetic porous nanoparticles could enhance the catalytic activity and favored the separation performance of the catalyst. The solid catalyst exhibited high activities for both transesterification of soybean oil and esterification of free fatty acids generally presented in low-cost oils. Moreover, the catalyst could be simply recovered magnetically and efficiently reutilized for several times without significant loss in its activity, thus allowing its being potentially applicable for green and economic production of biodiesel especially from the low-cost oil feedstocks. (c) 2019 Elsevier Ltd. All rights reserved.