ahmedabdelwahed/Medical_papers_title_and_abstract_NLP_dataset huggingface dataset:
High-Performance Broadband Phototransistor Based on TeOx/IGTO Heterojunctions

Ultraviolet to infrared broadband spectral detection capability is a technological challenge for sensing materials being developed for high-performance photodetection. In this work, we stacked 9 nm-thick tellurium oxide (TeOx) and 8 nm-thick InGaSnO (IGTO) into a heterostructure at a low temperature of 150 °C. The superior photoelectric characteristics we achieved benefit from the intrinsic optical absorption range (300-1500 nm) of the hexagonal tellurium (Te) phase in the TeOx film, and photoinduced electrons are driven effectively by band alignment at the TeOx/IGTO interface under illumination. A photosensor based on our optimized heterostructure exhibited a remarkable detectivity of 1.6 × 1013 Jones, a responsivity of 84 A/W, and a photosensitivity of 1 × 105, along with an external quantum efficiency of 222% upon illumination by blue light (450 nm). Simultaneously, modest detection properties (responsivity: ∼31 A/W, detectivity: ∼6 × 1011 Jones) for infrared irradiation at 970 nm demonstrate that this heterostructure can be employed as a broadband phototransistor. Furthermore, its low-temperature processability suggests that our proposed concept might be used to design array optoelectronic devices for wide band detection with high sensitivity, flexibility, and stability.
An analysis of the relation between water pollution and economic growth in China by considering the contemporaneous correlation of water pollutants

The study of the relationship between water pollution and economic growth holds great significance for sustainable development. Under Environmental Kuznets Curve (EKC) hypothesis, this paper focuses attention on a Chinese context and investigates the relationship between water pollution discharge-waste water (WW), chemical oxygen demand (COD) and ammonia nitrogen (NH4-N) and economic growth-per capita Gross Domestic Production (GDPPC), based on a comparison of the results from two variable coefficient panel data modelse-a Locally Weighted Smoothed Regression Estimator and Smoothing Scatterplots Model (LOWESSM) which is a nonparametric model, and a Semi-parametric Seemingly Unrelated Regression Model (SSURM) which considers the contemporaneous correlation of water pollutants that most previous studies have ignored. The empirical results indicate that there exist differences that can be represented by the characteristics of different EKC types, or different turning points under the same EKC type and that the SSURM may be more conducive to reflecting the real relationship between water pollution and economic growth. The study also finds that there are eight types of EKC which can be categorized as "good EKCs" (negative monotonic shape, inverted N-shape, inverted U-shape and M-shape), "bad EKCs" (positive monotonic shape, N-shape and U-shape) and "transition EKC" (positive monotonic and flat-tailed shape) and the proportion of "good EKCs" in economically developed areas (71.43%) is lower than that in the less economically developed areas (76.47%) in terms of COD discharge. Results suggest that addressing the state of water pollution will not occur automatically as GDPPC increases, but requires the regulatory power of government environmental policies. (C) 2020 Elsevier Ltd. All rights reserved.
Role of proliferative marker index and KBTBD4 mutation in the pathological diagnosis of pineal parenchymal tumors

Pineal parenchymal tumors (PPTs) are clinically rare and a biopsy is often required for a definitive diagnosis. To improve the accuracy of histological assessment of PPTs, we examined the proliferative capacity of PPT cells and investigated DICER1 expression and KBTBD4 mutations. This study included 19 cases of PPTs [3 pineocytomas (PCs), 10 PPTs of intermediate differentiation (PPTID), and 6 pineoblastomas (PBs)]. Immunohistochemistry for Ki-67, PHH3, and DICER1, as well as Sanger sequencing analysis for KBTBD4 mutations, was performed using formalin-fixed paraffin-embedded tissue specimens that were resected during surgery. Tumor cell proliferation was quantified using an image analysis software. For the PHH3 and MIB-1 indices, a significant difference was observed between the PPTIDs and PBs (P < 0.05). Loss of DICER1 was not specific for PB; 0/3 PCs (0.0%), 2/9 PPTIDs (22.2%), and 2/4 PBs (50.0%). KBTBD4 mutations were detected in 1/3 PCs (33.3%), 6/9 PPTIDs (66.7%), and 0/4 PBs (0.0%). Thus, combined application of the proliferative marker index and KBTBD4 mutation analysis may be useful for the differential diagnosis of PPTs. Furthermore, detection of KBTBD4 mutations using Sanger sequencing analysis may support the diagnosis of PPTID.
Do drivers of CO2 emission growth alter overtime and by the stage of economic development?

The rapid increase in anthropogenic carbon dioxide (CO2) emissions in recent decades is a major concern because CO2 emissions are the main precursor of global warming. Thus, a clear understanding of the factors behind this increase is crucial for the design of policies that limit or at least stabilize global concentrations of CO2. In this study, we investigate factors driving the growth in global CO2 emissions over the last two decades (between 1997 and 2015) using the logarithmic mean Divisia index (LMDI) method. The analysis shows that economic growth is the main driver of CO2 emissions during the 1997-2015 period. Population growth is also responsible for increased CO2 emissions, mainly in low-income countries. Without lowering energy intensity and increasing the deployment of clean and renewable energy, CO2 emissions during 1997-2015 would have been almost 50% higher than the observed level. The analysis also shows that the factors driving CO2 emission growth vary among countries from different per-capita income brackets. The analysis emphasizes the need to reduce CO2 more rapidly in highly industrialized countries and to continue to support reduction of CO2 in developing countries, per the United Nations Framework Convention on Climate Change (1992) Common But Differentiated Resposibilities.
In-vitro examination and isolation of antidiarrheal compounds using five bacterial strains from invasive species Bidens bipinnata L

Bidens bipinnata is widely utilized medicinal plant for treatment of diseases like malaria, sore throat, acute nephritis and dysentery. However, despite its traditional uses Bidens bipinnata is not widely explored for its antimicrobial effect. Thus, the current study is aimed to form antimicrobial activity report of Bidens bipinnata extracts, along with isolation and evaluation of antibacterial activity of the isolated compounds through bioassay-guided purification. Hexane extract of its leaves has appeared to be most active thus it is exposed to automated column chromatography. Further purification using High-performance liquid chromatography has led to isolation of active peaks, identified by Gas Chromatography-mass spectrometry, as 16-Pregnenolone and 9-Octadecenoic acid (Z)-, methyl ester. Their antimicrobial activity was confirmed via broth dilution procedure on Staphylococcus aureus, 16-Pregnenolone revealed a strong antimicrobial activity with MIC50 of 72 μg/mL whereas 9-Octadecenoic acid (Z)-, methyl ester display an MIC50 of >250 μg/mL. Present study is the first report on isolation of these compounds from Bidens bipinnata.
Knee subchondroplasty for management of subchondral bone cysts: a novel treatment method

Knee subchondroplasty (SCP) is one of the most novel minimally invasive methods for treating bone marrow lesions. The literature suggests that it is safe, with few complications and good outcomes. However, no studies have documented its usage for managing large subchondral bone cysts. This article outlines a case report and details the pearls and pitfalls of SCP in treating large subchondral bone cysts. Our patient underwent arthroscopic debridement with medial femoral condyle SCP. Mild posterior extravasation of synthetic bone substitute was observed on Postoperative Day 1, which was immediately rectified on revision arthroscopy. Gradual escalation of weight bearing and good pain relief were subsequently achieved, and the patient has remained complication-free after two years. No further extravasation were observed on repeat radiography. SCP is a feasible temporising measure that may help to delay the need for bone allograft or immediate knee arthroplasty in younger patients while retaining function and delaying loss of productivity.
Impact of Income Distribution on Social and Economic Well-Being of the State

Income distribution can cause large-scale transformations in human resources structure, essential changes of economic outputs via its impact on life satisfaction and motivation of work. Thus, the overall objective of this research is to improve methodological tools of income distribution analysis based on identifying the links between different structural indicators of income inequality and the most essential features of social and economic well-being. We conducted comparative analysis of EU Member States and Ukraine. We used structural analysis based on two forms of income distribution-functional (share of "labour" in Gross domestic product - GDP) and household one (ratio of incomes measured by special decile coefficients) to identify income inequality and inconsistencies in distributive strategies. By grouping European countries according to economic well-being (described as GDP per capita) and inequality in income distribution (based on Gini coefficient), we determined apparent tendencies in distributive policies and revealed links between income distribution and connected social-economic features of well-being. We conclude that countries with the most stable and clear patterns in income distribution have distinct connections between the share of labour costs in GDP and successes in social and economic spheres, including human development level, property rights protection, GDP growth, possibilities for taxation and budgeting of social programmes.
Quality Management of Prehospital Airway Programs: An NAEMSP Position Statement and Resource Document

Prehospital airway management encompasses a multitude of complex decision-making processes, techniques, and interventions. Quality management (encompassing quality assurance and quality improvement activities) in EMS is dynamic, evidence-based, and most of all, patient-centric. Long a mainstay of the EMS clinician skillset, airway management deserves specific focus and attention and dedicated quality management processes to ensure the delivery of high-quality clinical care.It is the position of NAEMSP that:All EMS agencies should dedicate sufficient resources to patient-centric, comprehensive prehospital airway quality management program. These quality management programs should consist of prospective, concurrent, and retrospective activities. Quality management programs should be developed and operated with the close involvement of the medical director.Quality improvement and quality assurance efforts should operate in an educational, non-disciplinary, non-punitive, evidence-based medicine culture focused on patient safety. The highest quality of care is only achieved when the quality management program rewards those who identify and seek to prevent errors before they occur.Information evaluated in prehospital airway quality management programs should include both subjective and objective data elements with uniform reporting and operational definitions.EMS systems should regularly measure and report process, outcome, and balancing airway management measures.Quality management activities require large-scale bidirectional information sharing between EMS agencies and receiving facilities. Hospital outcome information should be shared with agencies and the involved EMS clinicians.Findings from quality management programs should be used to guide and develop initial education and continued training.Quality improvement programs must continually undergo evaluation and assessment to identify strengths and shortcomings with a focus on continuous improvement.
Relational Approaches to Community-Based Health Promotion Across Scales of Practice

In this article, we describe a personalized approach to meeting individual and community health needs that foregrounds relational learning. This article analyzes how relational approaches to learning expand participants' objectives and result in more enduring learning. We report on mixed methods data from interviews, focus groups, surveys, and goal setting and monitoring. Analyses reveal that relationships de confianza served as a central tool in supporting participants' agency to enact change across scales of practice to promote the health of themselves, their families, and their communities.
Multi-agent evolutionary game in the recycling utilization of construction waste

The recycling utilization of construction waste (CW) is of great importance to reduce waste discharge and protect natural resources. This study investigated the evolutionary decision making process and stable strategies among three stakeholders, including the government agency (GA), waste recycler (WR) and waste producer (WP), involved in CW recycling industry based on the game theory. The main factors that affected the strategies of the stakeholders were analyzed and the tripartite evolutionary game model is provided. The evolutionary stability strategy and stability conditions were analyzed subsequently. A numerical simulation illustrated the effectiveness of the proposed method, with which the evolutionary decision making process and stable strategies among the three stakeholders are simulated. It is shown that the GA plays different roles in different stages of the development of CW recycling industry. In the early stage, the supervision and policies of the GA are critical to improve the proportion of enterprises that implement the recycling strategy. With the mature of the CW recycling industry, it is profitable for enterprises to implement waste recycling, and a high proportion of enterprises choose to implement recycling strategy. Under this circumstance, the GA will gradually decrease their interventions to enterprises, and finally evolve into no supervision. Besides, it also concludes that low penalties and subsidies are not conducive to the evolution of the optimal strategy among the three participants, and excessive supervision costs will reduce the regulatory willingness of the GA, hindering the enthusiasm of WRs and WPs to implement the recycling strategy. (C) 2020 Elsevier B.V. All rights reserved.
Economic analysis of grid-connected residential rooftop PV systems in Turkey

This study presents an economic analysis of grid-connected residential rooftop PVs in Turkey under the current feed-in tariff (FiT) scheme. Three solar parts are formed on the solar map of Turkey to discuss the effect of solar radiation differences between regions on the feasibility of the systems. Nine provinces are selected for a nationwide analysis. 5 kW rooftop PVs are simulated using HOMER Grid. Discounted Payback Period (DPBP), Internal Rate of Return (IRR) and Profitability Index (Pl) are used to ensure the viability of the systems from all aspects. DPBP below 8 years, IRR above 13.12%, and PI above 2 are considered feasible. The results showed that current DPBP, IRR, and Pl of the systems are in the range of 7.75-14.43 years, 13.68%-6.87%, and 2.02-1.28, respectively. The systems are attractive only in one province in the southern part, and far from being investable in the northern part. A sensitivity analysis is performed to analyze the effect of varying FiT and PV initial cost on the feasibility of the systems and make policy implications. It is recommended to increase the amount of residential PV incentives in Turkey and develop a regional support mechanism, considering solar differences between regions. (C) 2019 Elsevier Ltd. All rights reserved.
An integrated approach to the selection of municipal solid waste landfills through GIS, K-Means and multi-criteria decision analysis

Selecting the proper site for disposing of solid waste is one of the serious environmental and public health concerns in metropolises. This multifaceted issue encompasses environmental, economic, social, geographical, technical, and legal criteria. Some of these criteria, however, are less influenced by experts' subjective judgments because they display scientific specifications. This study drew on a novel, integrated method for the selection of municipal solid waste (MSW) landfills in the Iranian metropolis, Shiraz; the study relied on the GIS and multi-criteria decision-making methods, which helped to reduce the number of comparisons in collecting experts' opinions, simplified the selection process, and enhanced the assessment method. The method proposed was regulated by DEMATEL and ANP. Primarily 13 criteria were identified in five groups through the Delphi method. Next, using the integrated method, the weight of each criterion was determined and was assigned to the corresponding layer in ArcGIS 10.5. By combining these layers through a fuzzy logic, the sites satisfying the disposal conditions were identified. The sites were then divided into six areas through the k-means clustering algorithm, while MOORA, WASPAS and COPRAS methods were used to discover the best sites based on their priorities. Finally, to confirm the reliability of the results, compare and verify them, and conduct sensitivity analysis on them, 13 scenarios were used.
Determinants of the ecological footprint: Role of renewable energy, natural resources, and urbanization

In recent years the investigation of ecological footprint and its determinants has remained a hot issue of debate among policy analysts. But some of the important determinants of ecological footprint have not been adequately covered in the literature. The present study explores the relationship between real income, renewable energy, urbanization, natural resource rent, and ecological footprint in BRICS economies. The panel data estimators such as fully modified ordinary least squares (FMOLS) and dynamic ordinary least squares (DOLS) long-run estimators are employed for the period from 1992 to 2016 to yield reliable estimations. Empirical findings document that natural resource rent, renewable energy, and urbanization decrease ecological footprint, implying that they have a positive contribution to environmental quality. Results approve the Environmental Kuznets curve (EKC) for BRICS countries in case the ecological footprint is employed as an indicator of environmental degradation. Based on the empirical results, the study develops important policy implications for BRICS countries to achieve sustainable development targets.
Cleaner recycling of cathode material by in-situ thermite reduction

The extensive application of lithium-ion batteries (LIBs) generates a large amount of hazardous spent LIBs, for which sustainable recycling is seriously required by the demand of both environmental protection and resources conservation. An environmental friendly, economic effective and industrial applicable process has been developed for spent LiNixCoyMnzO2 (x + y + z = 1) cathode recycling. Here, the current collector of aluminium preforms as the in-situ reductant of thermite reduction transforming valuable metals in LiNixCoyMnzO2 cathode into LiAlO2, Li2O, NiO, CoO, and MnO. Then, Al in the in the thermite reduction product can be removed by alkaline leaching without large amount of explosive H-2 emission. Afterwards, valuable metals of Li, Ni, Co, and Mn were effectively leached into H2SO4 solution with leaching efficiencies of 99.78%, 98.62%, 99.29% and 99.91%, respectively. Comparing with the traditional carbothermic reduction methods, this method enjoys advantages of no need for peeling off the cathode materials, none adding of carbonaceous materials, avoiding large amount of H-2 emission and lower reduction temperature. The in-situ thermite reduction process demonstrates a greener, simpler, safer, more energy conserving and industrial applicable approach for sustainable recycling of spent LIBs. (C) 2019 Elsevier Ltd. All rights reserved.
Examination of a coupling coordination relationship between urbanization and the eco-environment: a case study in Qingdao, China

A better understanding of the relationship between urbanization and the eco-environment is necessary to guide sustainable urban development and formulate environmental policies. In this study, the city of Qingdao was taken as an example. We evaluated the quantitative evolution of the relationship between urbanization and the eco-environment development from 2000 to 2018 by establishing the comprehensive index system and applying it to the coupling coordination model. Results showed the following: (1) The economic urbanization and eco-environment states offer the greatest contribution to the urbanization and eco-environment systems, respectively. (2) The coupling coordination relationship between urbanization and eco-environment conforms to an S-shaped curve, and the two systems have gradually moved from a "seriously uncoordinated and urbanization lag" stage at the beginning into a "good coordination and eco-environment lag" stage by the end of the research period. (3) Finally, the economic urbanization and response subsystems are essential determinants in the coupling relationship between urbanization and eco-environment. The research results can help the government better understand the complex coupling relationship and then formulate sustainable urbanization development strategies to better balance urbanization and eco-environmental protection.
Analysis of China's oil and gas consumption under different scenarios toward 2050: An integrated modeling

China's oil and gas consumption, which is not only significant to the industry but also related with national energy security, faces uncertainties in the future. This paper analyzes China's oil and gas consumption under five representative scenarios toward 2050 using an integrated modeling. In the Nationally Determined Contribution (NDC) scenario, China's oil consumption peaks at 705 million tons by 2035, and gas consumption ramps steadily up to reach 780 billion cubic meters by 2050. Oil provides 18% of China's primary energy by 2030 and 15% by 2050, and gas 14% by 2030 and 17% by 2050. The 2 degrees C and the 1.5 degrees C scenarios control China's 2050 oil consumption to 10% and 45% below the NDC level, respectively. Interestingly, more stringent mitigation tends to upscale China's gas consumption before 2040. Compared with the NDC scenario, the oil-price scenarios present limited influences on China's total energy consumption and end-use electrification but mainly feature a substitution between oil, gas and coal, non-fossil energy. Particularly, across our scenarios, China's oil import dependence is projected to largely fluctuate around 70% toward 2050, and gas import dependence to reach 50-60% beyond 2030, implying a continuously high risk of energy resource supply and national energy security. (C) 2020 Elsevier Ltd. All rights reserved.
Physiological Responses to a Haunted-House Threat Experience: Distinct Tonic and Phasic Effects

Threats elicit physiological responses, the frequency and intensity of which have implications for survival. Ethical and practical limitations on human laboratory manipulations present barriers to studying immersive threat. Furthermore, few investigations have examined group effects and concordance with subjective emotional experiences to threat. The current preregistered study measured electrodermal activity in 156 adults while they participated in small groups in a 30-min haunted-house experience involving various immersive threats. Results revealed positive associations between (a) friends and tonic arousal, (b) unexpected attacks and phasic activity (frequency and amplitude), (c) subjective fear and phasic frequency, and (d) dissociable sensitization effects linked to baseline orienting response. Findings demonstrate the relevance of (a) social dynamics (friends vs. strangers) for tonic arousal and (b) subjective fear and threat predictability for phasic arousal.