ahmedabdelwahed/Medical_papers_title_and_abstract_NLP_dataset huggingface dataset:
Spatio-temporal evolution of ozone pollution and its influencing factors in the Beijing-Tianjin-Hebei Urban Agglomeration

Ozone has become a major atmospheric pollutant in China as the pattern of urban energy usage has changed and the number of motor vehicles has grown rapidly. The Beijing-Tianjin-Hebei Urban Agglomeration, also known as the Jing-Jin-Ji Urban Agglomeration (hereafter, JJJUA), with a precarious balance between protecting the ecological environment and sustaining economic development, is challenged by high levels of ozone pollution. Based on ozone observation data from 13 cities in the JJJUA from 2014 to 2017, the spatio-temporal trends in the evolution of ozone pollution and its associated influencing factors were analyzed using Moran's I Index, hot-spot analysis, and Geodetector using ArcGIS and SPSS software. Five key results were obtained. 1) There was an increase in the annual average ozone concentration, for the period 2014-2017. Comparing the 13 prefecture-level cities, ozone pollution in Chengde and Hengshui decreased, while it worsened in the remaining 11 cities. 2) Ozone pollution was worse in spring and summer than in autumn and winter; the peak ozone pollution season was from May to September; the average ozone concentration on workdays was higher than that on non-workdays, showing a counter-weekend effect. 3) Annual average concentrations were high in the central and southern parts of the study region but low in the north. 4) Prominent positive spatial correlations were observed in ozone concentration, with the best correlations shown in summer and autumn; concentrations were high in Baoding and Xingtai but low in Beijing and Chengde. 5) Concentrations of PM10, NO2, CO, SO2, and PM2.5, as well as average wind speed, sunshine duration, evaporation, precipitation, and temperature, all had significant effects on ozone pollution, and interactions between these influencing factors increased it. (C) 2019 Elsevier Ltd. All rights reserved.
Identification, characterization and optimization of phosphate solubilizing rhizobacteria (PSRB) from rice rhizosphere

Two billion people worldwide take rice (Oryza sativa L.) as a staple food. Phosphorus (P) and Nitrogen (N) are the major requirements of rice; although these are available in limited concentrations within rice growing regions. Among different types of Plant growth-promoting rhizobacteria (PGPR), Phosphate solubilizing rhizobacteria (PSRB) constitute an important class. These are known for plant growth promotion by enhancing P and N uptake. PSRB are nowadays used as biofertilizers to restore the soil health. Under the present investigation identification, characterization and optimization of phosphate solubilizing activity of these microbes at different pH, temperature and salt concentrations was carried out. Thirty-seven isolates were recovered from different regions of rice rhizosphere on Pikovskaya (PVK) agar among which 15 isolates were recovered from R.S. Pura, 12 isolates from Bishnah and 10 isolates were recovered from Akhnoor sector of Jammu, India. A prominent halo zone of clearance was developed around the colonies of 12 different isolates, indicating phosphate solubilization activity. Four distinct isolates were amplified, cloned and sequenced for taxonomic identification using 16S primers. The results indicated that PS 1, PS 2, PS 3, PS 4 were related to Pseudomonas aeruginosa, Bacillus subtilis strain 1, B. subtilis strain 2, B. subtilis strain 3, respectively. These strains when grown at a wide range of ecological factors showed maximum growth at pH between 6.8 and 8.8, temperature between 28 °C and 37 °C and salinity between 1% and 2%. Screening for phosphate solubilization activity revealed that the halo zone diameter formed by these isolates extended from 2.1 to 3.2 mm. The phosphate solubilizing efficiency (SE) ranged from 35.4 to 50.9 with highest value of 50.9 by PS4 and maximum P solubilization of 10.22 µg/ml was recorded by PS4 at 7th day. Phosphate solubilization activity of these identified PSRB strains can be utilized and explored in the rice growing belts of Jammu region which are deficient in phosphorus. MIC value for zinc sulphate heptahydrate in 12 isolates varied from 1 mg/ml to 6 mg/ml. Phosphate solubilization activity and MIC of these identified PSRB strains can be utilized and explored in the rice growing belts of Jammu region which are deficient in phosphorus.
The role of fixed capital formation, renewable and non-renewable energy in economic growth and carbon emission: a case study of Belt and Road Initiative project

Economic integration in the form of Belt and Road Initiative project opens many opportunities and hazards, especially of the participating nations' environment. The current study attempted to empirically test the economic and energy usage (renewable and non-renewable) impact on some selected countries of belt and road projects. For this purpose, the panel data set of twenty-four emerging economies of belt and road projects was selected from 1995 to 2014. The autoregressive distributed lags technique of econometric applied to determine the effect of renewable and non-renewable energy, GDP and GDP(2)for EKC, and gross fixed capital formation on carbon emission in the selected countries of Belt and Road Initiative project. The outcomes of this study confirm the existence of EKC in these underlined countries. Here, fossil fuel-based energy consumption is a source of environmental degradation, while renewable and clean energy usage can help sustain environmental conditions without affecting economic growth progress. Capital fixed formation in these economies can enhance economic growth and help to sustainable environmental conditions in the belt and road countries. Thus, based on these empirical outcomes, this study suggests economic and financial assistance in green renewable energy sources and clean technological innovation to enhance economic benefits of Belt and Road Initiative project without compromising the environmental conditions of the region.
Macroeconomic modelling under energy constraints: Global low carbon transition scenarios

Integrated Assessment Models provide a framework to study sustainability transitions and their economic impacts. Models seldom consider energy constraints, taking supply availability for granted and thus suggesting a mere change in the energy mix from non-renewables to renewables. In order to address these limitations, a macro-economic module within a broader system dynamics model (MEDEAS) has been developed. The model has been run for the whole world from 1995 to 2050 under three different scenarios: Business as Usual (BAU), considering no further transition policies and keeping current trends; Green Growth (GG), undertaking the low-carbon transition according to the Paris Agreement set of policies and with high GDP growth standards; and Post-Growth (PG), testing the sustainability transition under a GDP non-growth/degrowth approach. The results reveal the conflict between economic growth, climate policy and the sustainability of resources. Whereas a BAU approach would not even be an option to achieve climate goals, a GG view would not only face the downsizing of economic output, but neither would it be able to achieve the 2 degrees C objective. The success of the PG approach in meeting emissions objectives suggests a redirection from economic growth policies to an industrial policy that incorporates efficiency and redistribution.
Multidisciplinary, articular surface-preserving treatment strategy for locally aggressive epithelioid hemangioma of the acetabulum employing serial bland transarterial embolization

Epithelioid hemangioma is a rare, histologically benign but locally aggressive primary vascular neoplasm that can rarely arise in bone. Mainstay treatment is surgical resection or curettage with bone grafting. We report a novel multidisciplinary, joint-sparing treatment approach for an epithelioid hemangioma of bone arising in the acetabulum causing severe thinning of the subchondral bone plate. After 4 sessions of transarterial bland particle and ethanol embolization, the resultant increased ossification of the tumor allowed preservation of the articular surface during surgical resection. Imaging follow-up 14 months after surgical resection showed no evidence of recurrence and continued ossification of the portions of the lesion treated only with embolization.
Relation of maternal birthweight with early pregnancy obesity, gestational diabetes, and offspring macrosomia

This study aimed to investigate how maternal birthweight is related to early pregnancy obesity, gestational diabetes mellitus (GDM), and offspring birthweight. Females born term and singleton in Sweden between 1973 and 1995 (N = 305,893) were studied at their first pregnancy. Information regarding their birthweight, early pregnancy body mass index, and pregnancy complications was retrieved from the Swedish Medical Birth Register, as were data on their mothers and offspring. High maternal birthweights (2-3 standard deviation scores (SDS) and >3 SDS) were associated with greater odds of early pregnancy obesity, odds ratio (OR) 1.52 (95% confidence interval (CI) 1.42-1.63) and OR 2.06 (CI 1.71-2.49), respectively. A low maternal birthweight (<2 SDS) was associated with greater odds of GDM (OR 2.49, CI 2.00-3.12). No association was found between high maternal birthweight and GDM. A maternal birthweight 2-3 SDS was associated with offspring birthweight 2-3 SDS (OR 3.83, CI 3.44-4.26), and >3 SDS (OR 3.55, CI 2.54-4.97). Corresponding ORs for a maternal birthweight >3 SDS were 5.38 (CI 4.12-7.01) and 6.98 (CI 3.57-13.65), respectively. In conclusion, a high maternal birthweight was positively associated with early pregnancy obesity and offspring macrosomia. A low, but not a high maternal birthweight, was associated with GDM.
Technique of Augmenting Molecular Graph Data by Perturbating Hidden Features

Quantitative structure-property relationship models are useful in efficiently searching for molecules with desired properties in drug discovery and materials development. In recent years, many such models based on graph neural networks, showing good prediction performance, have been reported. Training graph neural networks generally require many samples, but by using a training method for a small dataset, it is possible to extract features that enable successful prediction. Herein, we design a method of augmenting graph data. In this method, random perturbations are added with a certain probability to some vertex features during message passing. We verify the proposed method's effectiveness in regression and classification tasks. It is confirmed that the proposed method is effective when the perturbation is added immediately before the readout of the graph neural network, and the effect of the data augmentation is most evident for small datasets of approximately 1000 samples.
Real-time video and force analysis feedback system for learning strength skills on rings in men's artistic gymnastics

The importance of objective evaluations has gathered more attention than before for a fairer and better performance judgment in gymnastics. The purpose of this report was to disseminate information about our system and provide an example of data utilisation in high-level competitive training from a practical standpoint. The system combined video and force data, measured with two force transducers at the top of the ring cables, wirelessly transmitted to a computer. The force data synchronised with the video were available in real time or immediately after trials, making it possible to objectively quantify the amount of spotting that a gymnast received as external physical assistances. The simplicity of the setup and several special functions of the system led athletes and coaches spontaneously to use it in their regular training to quantify their skill level. Based on the regular utilisation of the system, the general correspondence between objectively measured values and the subjective perception of spotters was determined. In addition, the data suggested the possibility of technical evaluation of a certain type of strength skill based on force data. The data that are shared in this report should be beneficial in facilitating activities to integrate science into practice in gymnastics.
Economic dispatching strategy of distributed energy storage for deferring substation expansion in the distribution network with distributed generation and electric vehicle

Aiming at the problem that the traditional substation expansion method leads to low availability of transformers and distributed generations (DG), and considering the improvement of energy storage operation revenue to reduce the energy storage investment cost, an energy storage economic dispatch strategy for deferring substation expansion is proposed. The strategy takes the charge-discharge balance as the criterion, considers the system security constraints and energy storage operation constraints, and aims at maximizing the comprehensive income of system loss and arbitrage from energy storage operation, and establishes the economic operation model of energy storage, the energy storage power is calculated according to different peak-cutting values, and the operating income of corresponding energy storage power is calculated by substituting it into the economic operation model. Finally, the energy storage power corresponding to the optimal income is determined. Through the simulation and analysis of the IEEE33 bus distribution system, based on the proposed evaluation index, the results show that the economic dispatching strategy proposed in this paper can greatly increase the operating income of energy storage, reduce the equivalent annual investment cost of energy storage equipment by $54,930 compared with the substation expansion scheme, and increase the annual availability rate of transformers to 32.8%, the annual availability hours of distributed generations increased by 267 h. (C) 2020 Elsevier Ltd. All rights reserved.
Actualizing a High-Energy Bipolar-Stacked Solid-State Battery with Low-Cost Mechanically Robust Nylon Mesh-Reinforced Composite Polymer Electrolyte Membranes

To meet the rapidly growing and diversified demand for energy storage, advanced rechargeable batteries with high-performance materials and efficient battery configuration are widely being exploited and developed. Bipolar-stacked electrode coupling with solid-state electrolytes enables achieving batteries with high output voltage, high energy density, and simple components. Here, a polymer electrolyte membrane is designed with polyethylene oxide containing bis(trifluoromethanesulfonyl)-imide as the electrolyte, succinonitrile as the plasticizer, and nylon mesh as a reinforcement for the bipolar-stacked battery. The as-prepared nylon mesh-reinforced polymer electrolyte membrane shows advantageous features, that is, excellent ionic conductivity (3.38 × 10-4 S cm-1) at room temperature, low interface impedance, and good tolerance against the expansion caused by the plating/stripping of the Li anode and the electrode upon cycling. When used as a polymer electrolyte membrane in the bipolar-stacked battery, the LiFePO4(LFP)-Li4Ti5O12(LTO) cell with three cells connected in series delivers a higher discharge voltage (5.4 V) and a volumetric energy density (0.328 mW h cm-3), nearly 3 times as much as that of the LFP-LTO battery. In addition, LiFePO4-Li pouch cells using the polymer electrolyte membrane can sustain the abuse tests including bending, cutting, and nail penetration well. These results pave a new avenue to develop high-performance polymer electrolyte membranes and allow for the design of high-voltage and volumetric energy density bipolar-stacked batteries.
Isolated abducens nerve palsy due to COVID-19

Although coronavirus disease-2019 (COVID-19) is mainly a respiratory system disease, neurological complications due to peripheral and central nervous system involvement may be seen in these patients. In this case report, we described a patient with isolated abducens nerve palsy after COVID-19. The patient was a healthy 28-year-old man who developed isolated abducens nerve palsy 10 days after COVID-19. He had no systemic risk factors. He had 20 PD left esotropia (ET) at distance and 16 PD left ET at near in primary position and ET increasing to 25 PD in left gaze. He had left abduction deficiency. His cranio-orbital magnetic resonance imaging findings were normal. He was diagnosed as left isolated abducens nerve palsy and his findings were recovered after 2 months. COVID-19 may cause ocular motor nerve palsies. Although the pathological mechanism remains unclear, direct viral invasion, inflammatory and immune mechanisms may play role. Further case reports and studies are needed to support these findings.
The role of financial development and globalization in the environment: Accounting ecological footprint indicators for selected one-belt-one-road initiative countries

The pressure of globalization on our ecosystem is widely debated, and academics and researchers urge clear policies at all levels. In this regard, a plethora of research work use carbon dioxide (CO2) emissions as an indicator of environmental measure to show that both globalization and financial development have diverse impacts on the environment. In fact, CO2 emissions are only a portion of total greenhouse gas emissions, so a comprehensive measure is required to gauge total ecological deterioration. The ecological footprint (EF) indicator is a comprehensive environmental accounting tool that has streamlined input-output environmental assessments. This study investigates the role of financial development and globalization on the EF for selected one-belt-one-road initiative countries from 1990 to 2014. The pooled means group long-run panel estimations results show that the EF sparks off by 0.0211 percent global hectares (gha) in selected panel countries when there is a 1 percent rise in financial development. A 1 percent growth in globalization mitigates the EF by 0.0038 percent gha in the long-run, suggesting an inverse relationship. Moreover, the country-specific findings show that the EF increases (at various percentages in gha) due to upsurges in both financial development and globalization in thirty- and twenty-nine countries, respectively. However, the EF declines (at various percentages in gha) due to increase in financial development in fourteen countries and globalization in four countries. In addition, the pairwise Granger causality finding shows the feedback effects of both financial development and globalization on EF. The EF affects environmental degradation, so efforts to reduce ecological deterioration and even immediate intervention measures should be employed in support of a sustainable environment. (C) 2019 Published by Elsevier Ltd.
Analyzing carbon emission transfer network structure among provinces in China: new evidence from social network analysis

Domestic trade plays a key role in China's rapid economic progress. However, the increased domestic trade causes significant variations in carbon emission transfer among provinces. This study adopted the multi-region input-output (MRIO) model and social network analysis (SNA) to estimate the carbon emission transfer. Furthermore, the carbon emission transfer network characteristics among 30 provinces and 27 sectors were analyzed by using interprovincial input-output tables for 2007, 2010, and 2012. The results showed that (1) Large differences exist in carbon emission transfer flow and its network characteristics between provinces. (2) The three industrial sectors of metal smelting and pressing sector, power, heat production, and supply sector, petroleum processing, coking, and nuclear fuel processing sector have high carbon emission transfer and pose a strong influence on the carbon emission transfer network. (3) Provinces of the eastern region have a "bidirectional spillover" role, while those of the western region have a mediating role as an "agent." Provinces of the central region have a "main inflow" role. Finally, useful policy implications and suggestions of this study are summarized.
Intensification of a new electrocoagulation system characterized by minimum energy consumption and maximum removal efficiency of heavy metals from simulated wastewater

In the present study, a new simple self-gas stirred batch electrocoagulation reactor was designed. The new cell consisted of a cylindrical Al sheet anode and a cylindrical Al screen cathode placed at a small distance from the anode. The H-2 evolving screen cathode improves the mixing conditions in the cell via turblence promotion and solution recycling which improves the economic efficiency of the electrochemical cell. This favourable hydrodynamic conditions improved considerably the % removal of Ni2+ and Cu2+ ions from a synthetic wastewater. The removal efficiency and apparent removal rate constant (k(app)) of Cu2+ were higher than those of Ni2+ as a result of the additional cathodic deposition mechanism. Energy consumption ranged from 4.43-75.71 kW.h/kg depending on the operating conditions. The optimal operational conditions,were current density (c.d) of 1.72 mAcm(-2), initial metal concentration (C-o) of 100 mg.L-1, NaCl concentration (C-N) of 1 g.L-1 and pH (5.5 for Cu and 4 for Ni) at 40 min. of electrolysis. The % removal efficiency ranged from 34.56-100% depending on the operating conditions. This study revealed that the new self stirred cell has the potential to be used for the removal of heavy metal from contaminated water.
Modelling the global impact of China's ban on plastic waste imports

China has long been the world's leading plastic waste importer. However, in January 2018 the Chinese Government enacted a new policy to permanently ban the import of most plastic waste into the country. This raises an important question: what will the impact of this policy be both domestically and globally? It is argued that the answer to this question can in part be systematically revealed by employing three methods of analysis. (1) A combined multiregional input-output model with structural path analysis (SPA) to understand how consumption patterns domestically and globally drive China's plastic waste imports. (2) An ecological network analysis to identify which region is the dominant controller of the global plastic waste trade network. Lastly, (3) a hypothetical extraction method to investigate the value-added change for China and the increased requirement of waste treatment capacity for other economies. The results indicate that the imported plastic waste was mainly driven by China's domestic consumption of products containing recycled plastic. Given this demand, it is recommended that the Chinese Government undertake various actions to increase local plastic waste recycling to compensate for the loss of recycled plastic material since the import ban took place. China is a dominant controller, along with the US, the European Union and Germany of the global plastic waste trade network. At this stage it is not possible for other large economies to replace the role of China in the short term. China's waste import ban caused a minor economic loss for China, however, it has resulted in the need for other economies to increase their waste treatment capacity. As well as increasing local plastic waste recycling, it is recommended the Chinese Government consider reopening imports for high quality recycled material and to seek global collaboration, which would not only ease the shortage of recycled plastic material but also buy time for other economies to build new waste treatment plants.