ahmedabdelwahed/Medical_papers_title_and_abstract_NLP_dataset huggingface dataset:
Study of the Involvement of the P2Y12 Receptor in Chronic Itching in Type 2 Diabetes Mellitus

Itching is a common clinical symptom in diabetic patients. This research is to carry out experiments on the pathological changes in the P2Y12 receptor in type 2 diabetes mellitus complicated with chronic itching. Changes in body weight, fasting blood glucose (FBG), thermal hyperalgesia, cold hyperalgesia, spontaneous itching, and sciatic nerve conduction velocity were detected. The content of reactive oxygen species (ROS) in the dorsal root ganglion was detected by chemical fluorescence. The expression of the P2Y12 receptor, NLRP3, ASC, interleukin-1β (IL-1β), and IL-18 was detected by Western blotting, real-time quantitative PCR, immunofluorescence double labelling, and enzyme-linked immunosorbent assay. Itching and pain behaviours of the mice in the type 2 diabetes mellitus + itch group were significantly increased, and the expression of P2Y12 and NLRP3 as well as the content of ROS increased, and these changes were significantly reversed by treatment with P2Y12 short hairpin RNA (shRNA) or P2Y12 antagonist ticagrelor. Upregulated P2Y12 receptor expression after the activation of satellite glial cells contributes to the increase in ROS content in vivo, followed by NLRP3 inflammasome activation, increased inflammatory cytokine release, and damage to peripheral nerves, which leads to chronic itching. Treatment with P2Y12 shRNA or ticagrelor can inhibit these pathological changes, thus improving itching behaviour. Development mechanism of diabetes mellitus complicated with chronic itching. Notes: The upregulation of P2Y12 receptor expression and the activation of SGCs lead to the increase of ROS content in vivo, followed by the activation of NLRP3 inflammasome, the increase of inflammatory cytokine release, the abnormal excitation of DRG neurons, and the damage of peripheral nerves, resulting in chronic itching. P2Y12 receptor-related inflammatory injury involves chronic itching in type 2 diabetes mellitus. Treatment with P2Y12 receptor shRNA or P2Y12 antagonist ticagrelor can inhibit these pathological changes and improve itching behaviour.
Exopolysaccharides-Producing Biofilm Bacteria from Submerged Seawater Substrate for Bioremediation of Heavy Metal Contamination

&lt;b&gt;Background and Objective:&lt;/b&gt; The coastal environment is often polluted by various toxic compounds such as heavy metals. Exposure to these toxic compounds causes coastal bacteria to adapt so that they can be used as bioremediation agents for heavy metals. This study aims for finding and screening the ability of bacteria to produce exopolysaccharide biofilms and then determine the characteristics of bacterial isolates as agents candidates for heavy metal bioremediation in the coastal environment. &lt;b&gt;Materials and Methods:&lt;/b&gt; Samples were collected on submerged seawater substrate from Bungus Coastal, Padang and West Sumatra, on the wet area that was exposed by seawater (on the rocks, on the wood and the ship, the lower out part on the ship that exposed to seawater). Bacterial isolation process using Marine Agar Medium. The isolate discovered then observed and purified. Furthermore, Congo Red Agar was used for bacteria screening for detecting EPS produced by biofilm bacteria. &lt;b&gt;Results:&lt;/b&gt; The results of the isolation, found 9 bacterial isolates attached to the substrate submerged seawater. The screening results showed that isolates K4, K5 and K7 were positive as biofilm-forming bacteria as indicated by the colour change of the bacterial colonies to black on Congo Red Media after 24 hrs incubation. The characteristics of the three bacterial isolates were gram-negative, with cocci and bacilli cells form. &lt;b&gt;Conclusion:&lt;/b&gt; Three isolates of positive exopolysaccharide biofilm bacteria that 1 isolate gram-negative coccus (K4) and the other 2 isolates (K5 and K7) were bacillus. Then, the 3 isolates can be used for remediation of metal contamination research in aquatic.
Impacts of heavy metal pollution on the ionomes and transcriptomes of Western mosquitofish (Gambusia affinis)

Our understanding of the mechanisms mediating the resilience of organisms to environmental change remains lacking. Heavy metals negatively affect processes at all biological scales, yet organisms inhabiting contaminated environments must maintain homeostasis to survive. Tar Creek in Oklahoma, USA, contains high concentrations of heavy metals and an abundance of Western mosquitofish (Gambusia affinis), though several fish species persist at lower frequency. To test hypotheses about the mechanisms mediating the persistence and abundance of mosquitofish in Tar Creek, we integrated ionomic data from seven resident fish species and transcriptomic data from mosquitofish. We predicted that mosquitofish minimize uptake of heavy metals more than other Tar Creek fish inhabitants and induce transcriptional responses to detoxify metals that enter the body, allowing them to persist in Tar Creek at higher density than species that may lack these responses. Tar Creek populations of all seven fish species accumulated heavy metals, suggesting mosquitofish cannot block uptake more efficiently than other species. We found population-level gene expression changes between mosquitofish in Tar Creek and nearby unpolluted sites. Gene expression differences primarily occurred in the gill, where we found upregulation of genes involved with lowering transfer of metal ions from the blood into cells and mitigating free radicals. However, many differentially expressed genes were not in known metal response pathways, suggesting multifarious selective regimes and/or previously undocumented pathways could impact tolerance in mosquitofish. Our systems-level study identified well characterized and putatively new mechanisms that enable mosquitofish to inhabit heavy metal-contaminated environments.
From the perspective of Turkish women: intimate partner violence and perceived stress level in the Covid-19 pandemic

Pandemic process increase the vulnerability of women to intimate partner violence (IPV). IPV is one of the greatest stress sources a woman can face. This study's purpose to determine effects of the Covid-19 pandemic process on the IPV status and perceived stress levels of women. The population of the descriptive study consisted 834 women working at a state university in Turkey's. 452 women who with intimate partner relationships were included in the sample. Data collection tools were applied via online survey link. The mean age of the women was 30.6 ± 4.20. The The Perceived Stress Scale mean scores of the women were 40.18 ± 3.20. They are not able to cope with stress effectively. It was determined that women participated the study were exposed to more IPV during the pandemic process. It was found that as the frequency of IPV increased, women's perception of stress also increased. Research such as this can be used to help inform decision-makers as they grapple with the adverse negative effects of public health safety measures related to Covid-19.
Discrete field potentials produced by coherent activation of spinal dorsal horn neurons

In addition to the action potentials generated by the ongoing activation of single dorsal horn neurons in the anesthetized cat, we often recorded small negative field potentials with a fast-rising phase and a slow decay (dIFPs). These potentials could be separated in different classes, each with a specific and rather constant shape and amplitude. They were largest in spinal laminae III-V and gradually faded at deeper locations, without showing the polarity reversal displayed at these depths by the focal potentials produced by stimulation of muscle and cutaneous afferents. We propose that the dIFPs are postsynaptic field potentials generated by strongly coupled sets of dorsal horn neurons displaying a spatial orientation that generates closed field potentials in response to stimulation of high-threshold cutaneous and muscle afferents. These neuronal sets could form part of the spinal inhibitory circuitry that mediates presynaptic inhibition and Ib non-reciprocal postsynaptic inhibition and could be involved in the sensory-motor transformations activated by stimulation of high-threshold cutaneous afferents.
Evaluation and governance of green development practice of port: A sea port case of China

Port development is an important driver for global economic growth, and also a main energy user and polluter in the world. Amid the global energy crisis and environmental degradation, the international port community has proposed the concept of green port. Zhuhai Port, an important shipping and logistics platform in southern China, is confronted with key questions of how to effectively conduct environmental pollution control and green development performance evaluation, while its size and business performance continue the rapid growth. To address this problem, this study first suggested a green port indicator system tailored-made for Zhuhai Port, and then uses the fuzzy importance-performance analysis (FIPA) method to determine the performance of Zhuhai Port in green port indicators before putting forward a governance strategy. The study shows that Zhuhai Port should focus on monitoring of energy consumption and pollutant emissions, innovation of scientific research technologies and development of green port schemes to deepen the concept of green development and improve the energy conservation and environmental protection capacity of the port. The research results can serve as a theoretical basis for formulation of Zhuhai's green port policies and the establishment of an effective methodology system. (C) 2019 Elsevier Ltd. All rights reserved.
Influence of Gd3+ doping concentration on the properties of Na(Y,Gd)F4:Yb3+, Tm3+ upconverting nanoparticles and their long-term aging behavior

We present a systematic study on the properties of Na(Y,Gd)F4-based upconverting nanoparticles (UCNP) doped with 18% Yb3+, 2% Tm3+, and the influence of Gd3+ (10-50 mol% Gd3+). UCNP were synthesized via the solvothermal method and had a range of diameters within 13 and 50 nm. Structural and photophysical changes were monitored for the UCNP samples after a 24-month incubation period in dry phase and further redispersion. Structural characterization was performed by means of X-ray diffraction (XRD), transmission electron microscopy (TEM) as well as dynamic light scattering (DLS), and the upconversion luminescence (UCL) studies were executed at various temperatures (from 4 to 295 K) using time-resolved and steady-state spectroscopy. An increase in the hexagonal lattice phase with the increase of Gd3+ content was found, although the cubic phase was prevalent in most samples. The Tm3+-luminescence intensity as well as the Tm3+-luminescence decay times peaked at the Gd3+ concentration of 30 mol%. Although the general upconverting luminescence properties of the nanoparticles were preserved, the 24-month incubation period lead to irreversible agglomeration of the UCNP and changes in luminescence band ratios and lifetimes.
Relationship between inward FDI and environmental degradation for Pakistan: an exploration of pollution haven hypothesis through ARDL approach

In many developing countries, rising pollution and FDI inflows are positively correlated. This paper explores the existence of pollution haven hypothesis in Pakistan by employing the autoregressive distributed lag (ARDL) bounds test on yearly data from 1971 to 2014 for foreign direct investment inflow and four pollutants, i.e., CO2 emissions, CO2 emissions from solid fuels, SO2 emissions, and GHG emissions. In each case, eight different models are tested by incorporating different explanatory variables with foreign direct investment inflow. The outcome of this study shows that in some of the models a positive long-term relationship exists between FDI inflow and CO2 emissions, CO2 emissions from solid fuels, and GHG emissions and a negative long-term relationship between FDI inflow and SO2 emissions. Overall, we found no conclusive evidence of the existence of the pollution haven hypothesis for Pakistan. As Pakistan is taking active measures to attract more FDI, it is essential to introduce appropriate environmental policies and institutional reforms that do not hinder FDI inflows.
Evapotranspiration partitioning assessment using a machine-learning-based leaf area index and the two-source energy balance model with sUAV information

Accurate quantification of the partitioning of evapotranspiration (ET) into transpiration and evaporation fluxes is necessary to understanding ecosystem interactions among carbon, water, and energy flux components. ET partitioning can also support the description of atmosphere and land interactions and provide unique insights into vegetation water status. Previous studies have identified leaf area index (LAI) estimation as a key descriptor of biomass conditions needed for the estimation of transpiration and evaporation. LAI estimation in clumped vegetation systems, such as vineyards and orchards, has proven challenging and is strongly related to crop phenological status and canopy management. In this study, a feature extraction model based on previous research was built to generate a total of 202 preliminary variables at a 3.6-by-3.6-meter-grid scale based on submeter-resolution information from a small Unmanned Aerial Vehicle (sUAV) in four commercial vineyards across California. Using these variables, a machine learning model called eXtreme Gradient Boosting (XGBoost) was successfully built for LAI estimation. The XGBoost built-in function requires only six variables relating to vegetation indices and temperature to produce high-accuracy LAI estimation for the vineyard. Using the six-variable XGBoost-based LAI map, two versions of the Two-Source Energy Balance (TSEB) model, TSEB-PT and TSEB-2T were used for energy balance and ET partitioning. Comparing these results with the Eddy-Covariance (EC) tower data, showed that TSEB-PT outperforms TSEB-2T on the estimation of sensible heat flux (within 13% relative error) and surface heat flux (within 34% relative error), while TSEB-2T outperforms TSEB-PT on the estimation of net radiation (within 14% relative error) and latent heat flux (within 2% relative error). For the mature vineyard (north block), TSEB-2T performs better than TSEB-PT in partitioning the canopy latent heat flux with 6.8% relative error and soil latent heat flux with 21.7% relative error; however, for the younger vineyard (south block), TSEB-PT performs better than TSEB-2T in partitioning the canopy latent heat flux with 11.7% relative error and soil latent heat flux with 39.3% relative error.
Integrated techno-economic modeling, flexibility analysis, and business case assessment of an urban virtual power plant with multi-market co-optimization

The concept of Virtual Power Plant (VPP) is recognized as an effective option to aggregate and operate Distributed Energy Resources (DER) to participate in wholesale energy markets and provide flexibility and associated grid services that are needed in a renewable-rich energy system. Also, as most of the DER are available in urban areas, there are increasing interests in assessing the potential to develop urban VPP, for example in university campuses. However, exploiting the flexibility of VPP and developing robust business cases require advanced considerations on their technical and commercial constraints and trade-offs in deploying the VPP's flexibility when simultaneously participating in multiple markets. In this context, this paper presents a comprehensive, integrated techno-economic modeling approach that assesses the technical and commercial flexibility opportunities and develops a relevant business case framework based on co-optimized participation in multiple markets for an urban VPP. A real-world case study based on the University of Melbourne's new campus under development is used to demonstrate the proposed approach, including the VPP's participation in the energy, frequency control ancillary services, demand response, and hedging contract markets. The technical analysis shows that diversity of DER portfolio results in improved participation of VPP in various markets. From an economic perspective, a multi-market co-optimization model such as the one proposed here, fully exploiting the DER's aggregated flexibility, results in attractive business cases for operating DER in urban areas as a VPP. The proposed approach and examples provided may be seen as a blueprint for more VPP applications and unlocking the great flexibility available in urban areas.
Microalgal Preference and Feeding Density of Selected Microalgae Diets by Blue Swimming Crab Portunus pelagicus (Linnaeus, 1758)

&lt;b&gt;Background and Objectives:&lt;/b&gt; Blue swimming crab, &lt;i&gt;Portunus pelagicus&lt;/i&gt; (Linnaeus, 1758) are economically important sources of soft-shell products for export demand. However, increasing over-exploitation and pollution towards the sea resources affected the production of the &lt;i&gt;P. pelagicus&lt;/i&gt;. The study aimed to determine the microalgal preference and feeding density of the monospecific (&lt;i&gt;Nannochloropsis oculata&lt;/i&gt;, &lt;i&gt;Chlorella vulgaris&lt;/i&gt;, &lt;i&gt;Isochrysis galbana&lt;/i&gt; and &lt;i&gt;Chaetoceros wighamii &lt;/i&gt;) by individual &lt;i&gt;P. pelagicus &lt;/i&gt;larvae. &lt;b&gt;Materials and Methods:&lt;/b&gt; In the microalgal preference study, one polystyrene tray with 100 holes was set up in the experimental tank (200 L) to place the 50 mL centrifuges tube. For feeding density study, the survival rate, Specific Growth Rate (SGR), Body Weight (BW) and Larvae Stage Index (LSI) of each larvae stage were collected from Zoea 1 (Z&lt;sub&gt;1&lt;/sub&gt;) till megalopa. &lt;b&gt;Results:&lt;/b&gt; Results for mean microalgal preference of individual larvae preferred most &lt;i&gt;Chlorella vulgaris&lt;/i&gt; during Zoea 1 and 2, the larvae consumed the highest of &lt;i&gt;Nannochloropsis&lt;/i&gt; &lt;i&gt;oculata&lt;/i&gt;. For Zoea 3 and 4, the highest preference is &lt;i&gt;Isochrysis galbana&lt;/i&gt;. For feeding regime, Zoea 1, larvae fed rotifer, &lt;i&gt;Artemia&lt;/i&gt; and &lt;i&gt;Chlorella vulgaris&lt;/i&gt; (T&lt;sub&gt;3&lt;/sub&gt;), was the highest survival rate, Zoea 2 was larvae fed rotifer, &lt;i&gt;Artemia&lt;/i&gt; and &lt;i&gt;Nannochloropsis oculata&lt;/i&gt; (T&lt;sub&gt;5&lt;/sub&gt;) and both Zoea 3 and Zoea 4, larvae fed rotifer, &lt;i&gt;Artemia&lt;/i&gt; and &lt;i&gt;Isochrysis galbana&lt;/i&gt; (T&lt;sub&gt;4&lt;/sub&gt;) was the highest survival rate. The highest SGR and LSI were obtained in T&lt;sub&gt;4&lt;/sub&gt; cultured in 14 days. &lt;b&gt;Conclusion:&lt;/b&gt; In conclusion, the microalgal preference and feeding density of the selected microalgae are different depending on each larvae stage.
A novel conformable fractional non-homogeneous grey model for forecasting carbon dioxide emissions of BRICS countries

Nowadays, climate change is one of the most important global issues to the international community. And nearly thirty kinds of greenhouse gases have been found in the atmosphere, of which the carbon dioxide plays a crucial role. In this paper, the carbon dioxide emissions of BRICS (Brazil, Russia, India, China and South Africa) countries are investigated by using a conformable fractional non-homogeneous grey model. The grey model is systematically studied based on the new definitions of the conformable fractional accumulation and difference. The closed-form solutions of the new model are derived by applying mathematical tools and grey theory. And the meta-heuristic algorithm ant lion optimizer is adopted to search optimal fractional order. With raw data during the period from 2000 to 2018 announced by British Petroleum, the new model is established to forecast the carbon dioxide emissions of BRICS nations from 2019 to 2025. The results show that the trend of the carbon dioxide emissions of Brazil and India is growing year by year, the pattern of Russia is fluctuant but remains stable generally, while China and South Africa reach its peak value in 2019, and then decrease in the next several years. It also demonstrates that the governments of Brazil and India should take more measures to reduce carbon dioxide emissions, while the governments of China and South Africa should keep up their crucial work on carbon dioxide emissions. (C) 2019 Elsevier B.V. All rights reserved.
Waste tire recycling assessment: Road application potential and carbon emissions reduction analysis of crumb rubber modified asphalt in China

The rapid growth in automobile production in China during the past few decades has caused numerous tires to be scrapped, and their disposal has become a significant challenge. This study proposes a Triple Exponential Smoothing prediction model to predict the supply of waste tires in 2019-2023, and the demand for these tires in three road construction scenarios. In addition, performance analysis is conducted to evaluate the carbon emissions produced in the production process of crumb rubber, modified asphalt, and styrene-butadiene-styrene modified asphalt. The reduction potential of carbon emissions when using crumb rubber for road construction is measured to contribute to the sustainable management of waste tires. The results demonstrate that the prediction model employed for prediction of waste tire production is robust, and the prediction results can be used to evaluate waste tire recycling. In addition, crumb rubber can be used as an efficient and environmentally friendly method for recycling end-of-life tires. Expanding the proportion of rubber powder asphalt application is an effective method for balancing the supply and demand contradiction of crumb rubber. Moreover, the potential for energy savings and emissions reduction, in addition to the economic benefits of using crumb rubber modified asphalt, are significantly higher than those employing styrene-butadiene-styrene modified asphalt. These results indicate the possibility of a circular economy and decreased dependence on non-renewable asphalt resources. (C) 2019 Elsevier Ltd. All rights reserved.
Hookups Among U.S. College Students: Examining the Association Between Hookup Motives and Personal Affect

"Hooking up" is prevalent on college campuses and is related to both positive and negative outcomes for students. The current study was an exploratory examination of hookup motives, and positive and negative affect, related to the most recent hookup experience. Participants were 256 U.S. college students who reported hooking up in the last 12 months. Students completed a 30-min anonymous online survey assessing behaviors and cognitions during their most recent hookup, including alcohol use at the time of the hookup, motives for hooking up, and post-hookup affect. The model demonstrated that gender, conformity motives, and social-relationship motives significantly and positively predicted negative affect, whereas enhancement motives negatively predicted negative affect. Coping and enhancement motives significantly and positively predicted positive affect, whereas alcohol use negatively predicted positive affect. This study was a unique examination of hookup motives, with important findings that explained large portions of variance in post-hookup affect. The overall model explained approximately 23% of the variance in negative affect and 49% of the variance in positive affect. Findings highlight that, depending on the hookup motive, hooking up can be associated with positive outcomes, such as positive affect.