ahmedabdelwahed/Medical_papers_title_and_abstract_NLP_dataset huggingface dataset:
Dynamic causality interplay from COVID-19 pandemic to oil price, stock market, and economic policy uncertainty: evidence from oil-importing and oil-exporting countries

In this study we examine the time-varying causal effect of the novel COVID-19 pandemic in the major oil-importing and oil-exporting countries on the oil price changes, stock market volatilities and the economic uncertainty using the wavelet coherence and network analysis. During the period of the pandemic, we explore such relationship by resorting to the wavelet coherence and gaussian graphical model (GGM) frameworks. Wavelet analysis enables us to measure the dynamics of the causal effect of the novel covid-19 pandemic in the time-frequency space. Regarding the findings displayed herein, we first found that the COVID-19 pandemic has a severe influence on oil prices, stock market indices, and the economic uncertainty. Second the intensity of the causality effect is stronger in the longer horizon than in the short ones, suggesting that the causality exercise continues. Our findings also provide evidence that the COVID-19 pandemic and oil price changes in oil-importing countries mirror those in oil-exporting countries and vice versa. Further, the COVID-19 pandemic has a profound immediate time-frequency effect on the US, Japanese, South Korean, Indian, and Canadian economic uncertainties. A better understanding of oil and stock market prices in the oil-importing and oil-exporting countries is vital for investors and policymakers, specially since the novel unprecedented COVID-19 crisis has been recognized among the most serious ever happened. Thus, the findings suggest that the authorities should strongly take efficient actions to minimize risk.
Corporate Social Responsibility and Human Resource Management: Towards Sustainable Business Organizations

Today's organizations are immersed in a global market, where any detail can provide a competitive advantage over rival companies and condition their sustainability. Corporate Social Responsibility and Human Resource Management have become very powerful tools within companies. However, the potential, development, and measurement of Corporate Social Responsibility (CSR) and Human Resource Management (HRM) have not been sufficiently explored. The literature has developed multiple case studies on CSR and HRM and has studied the combination of both factors and their link to economic, environmental, and social sustainability, but has not yet found a solid basis from which to address the new functionality of CSR, HRM, and sustainable business management. This work aims to investigate trends in scientific production related to Corporate Social Responsibility and Human Resource Management. Bibliometric techniques and SciMAT software have been used for this purpose. A total of 314 articles from Web of Science (WOS) indexed journals were analyzed. The results obtained confirm that the interest in the study of these concepts has grown exponentially in the last decade. It should be noted that the definitions of CSR and HRM, and even the relationship between the two, continue to be subject to multiple interpretations. The contribution of this work lies in the fact that, through the longitudinal analysis carried out, light is shed on the groups of issues that emerge with special projection, such as green-management, stakeholders, commitment, competitive-advantage, satisfaction, performance, sustainability, or research-methods-analysis, and which must continue to be explored in order to respond to the demands that business organizations have in this respect, and to help the total integration of the different approaches related to CSR and HRM.
The influence of consumers' intention factors on willingness to pay for renewable energy: a structural equation modeling approach

As the adoption of renewable power generation technologies (RPTs) is a complex and multidimensional process influenced by a variety of factors, it provokes traction among researchers to identify these influencing factors. This study aims to investigate the impact of consumers' intention factors on willingness to pay (WTP) for renewable energy (RE) in Pakistan. The current research has contributed through expanding the theoretical framework of the theory of planned behavior by adding two new constructs, i.e., belief about RE cost and environmental concern to better understand consumers' intentions towards adoption or prohibition of RPTs. Findings are based on the primary data gathered from 349 residents in the five major cities of Pakistan including, Karachi, Lahore, Faisalabad, Rawalpindi, and Multan by conducting a comprehensive survey. Structural equation modeling was employed for data analysis purposes. Research results indicate that the influencing factors such as attitude, subjective norms, and perceived behavioral control positively moderate the relationship between consumer's intention and WTP for RE, belief about RE cost has a negative effect, while environmental concern did not find to have a significant effect. Based on research findings, this study offered essential policy recommendations to fulfill the country's energy needs on its way to a future of sustainable development.
Singapore Advanced Cardiac Life Support Guidelines 2021

Advanced cardiac life support (ACLS) emphasises the use of advanced airway management and ventilation, circulatory support and the appropriate use of drugs in resuscitation, as well as the identification of reversible causes of cardiac arrest. Extracorporeal cardiopulmonary resuscitation and organ donation, as well as special circumstances including drowning, pulmonary embolism and pregnancy are addressed. Resuscitation does not end with ACLS but must continue in post-resuscitation care. ACLS also covers the recognition and management of unstable pre-arrest tachy- and bradydysrhythmias that may deteriorate further.
Development and application of a machine learning based multi-objective optimization workflow for CO2-EOR projects

Carbon dioxide-Enhanced Oil Recovery (CO2-EOR) is known as one of techniques for hydrocarbon production improvement as wells as an important candidate to reduce greenhouse gas emissions. Thus, an ideal development strategy for a CO2-EOR project would consider multiple objectives including to maximize oil recovery, CO2 storage volume and project economic outcomes. This work proposes a robust computational framework that couples artificial neural network (ANN) and multi-objective optimizers to optimize the aforementioned objectives in CO2-EOR processes simultaneously. Expert ANN systems are trained and employed as surrogate models of the high-fidelity compositional simulator in the optimization workflow. The robustness of the development optimization protocol is confirmed via a synthetic injection-pattern-base case study. Afterward a field implementation to Morrow-B formation to optimize the tertiary recovery stage of the field development is discussed. This work compares the optimum solution found using an aggregate objective function and the solution repository (Pareto front) generated by the multi-objective optimization process. The comparison indicates the existence of potential multi-solutions satisfying certain criteria in a CO2-EOR project designing, which cannot be found using traditional weighted sum method. The optimization results provide significant insight into the decision-making process of CO2-EOR project when multiple objective functions are considered.
In vitro probiotic and safety attributes of Bacillus spp. isolated from beebread, honey samples and digestive tract of honeybees Apis mellifera

Bacillus species isolated from honeybee Apis mellifera gut, honey and bee bread samples were characterized for their in vitro probiotic and safety attributes. Alpha and γ haemolytic cultures were tested for their antibiotic resistance, antibacterial spectrum, acid and bile tolerance, adhesion ability (auto-aggregation, co-aggregation and hydrophobicity) and phenol tolerance. Safety criteria included evaluation of virulence genes and cytotoxicity percentages. Bacillus isolates inhibited both Gram-positive and Gram-negative pathogens including Staphylococcus aureus, Pseudomonas aeruginosa, Enterococcus faecalis and Streptococcus mutans, while none could inhibit Listeria monocytogenes. Among the isolates, Bacillus subtilis ZH05, ZB03 and ZG025 showed resistance to most of the tested antibiotics and were considered unsafe. B. subtilis (4) and B. licheniformis (1) tolerated acidic pH and bile conditions, never the less were more tolerant in simulated intestinal conditions vis-a-vis gastric conditions. In 0·5% phenol concentrations, B. licheniformis ZH02 showed highest growth, while, B. subtilis ZG029 demonstrated highest auto-aggregation (65 ± 4·6) and hydrophobicity (23 ± 3·6) percentages (P < 0·05). The isolates lacked virulence genes (hblA, hblC, hblD, nhe, cytK and ces), and their cytotoxic percentage on Caco-2 cell lines was ˂15%. Overall, honeybees appear to be a good source of Bacillus species exhibiting typical in vitro probiotic properties, which could be of commercial interest.
Spatial and temporal differentiation of COVID-19 epidemic spread in mainland China and its influencing factors

This paper uses the exploratory spatial data analysis and the geodetector method to analyze the spatial and temporal differentiation characteristics and the influencing factors of the COVID-19 (corona virus disease 2019) epidemic spread in mainland China based on the cumulative confirmed cases, average temperature, and socioeconomic data. The results show that: (1) the epidemic spread rapidly from January 24 to February 20, 2020, and the distribution of the epidemic areas tended to be stable over time. The epidemic spread rate in Hubei province, in its surrounding, and in some economically developed cities was higher, while that in western part of China and in remote areas of central and eastern China was lower. (2) The global and local spatial correlation characteristics of the epidemic distribution present a positive correlation. Specifically. the global spatial correlation characteristics experienced a change process from agglomeration to decentralization. The local spatial correlation characteristics were mainly composed of the'high-high' and 'low-low' clustering types, and the situation of the contiguous layout was very significant. (3) The population inflow from Wuhan and the strength of economic connection were the main factors affecting the epidemic spread, together with the population distribution, transport accessibility, average temperature, and medical facilities, which affected the epidemic spread to varying degrees. (4) The detection factors interacted mainly through the mutual enhancement and nonlinear enhancement, and their influence on the epidemic spread rate exceeded that of single factors. Besides, each detection factor has an interval range that is conducive to the epidemic spread. (C) 2020 Elsevier B.V. All rights reserved.
Head control and head-trunk coordination as a function of anticipation in sidestepping

Head reorientation precedes body reorientation during direction change to facilitate gaze realignment, thus enhancing perceptual awareness. Whole body kinematics are dependent on the available planning time. The purpose of this study was to assess the role of anticipation on head control and head-trunk coordination during sidestepping tasks. Fourteen male collegiate athletes performed anticipated and unanticipated sidestepping tasks. Transverse plane head, trunk and heading direction, as well as head-trunk coordination were assessed. During change of direction tasks, we observed greater head orientation towards the new travel direction, followed by heading direction and then trunk direction during both anticipated and unanticipated tasks. With reduced planning time, heading in the preparatory phase and trunk rotation in the preparatory and stance phases were significantly less oriented towards the new travel direction, with no differences in head rotation. During anticipated sidestepping, significantly greater in-phase coordination was observed during the preparatory phase compared to unanticipated sidestepping. Head reorientation facilitates gaze realignment and may be prioritized irrespective of planning time during sidestepping tasks. During anticipated trials, the head and trunk move more synchronously compared to unanticipated sidestepping, highlighting the potential benefits of aligning the degrees of freedom earlier in the change of direction stride and optimizing perceptual awareness.
Insights on the United Nations Sustainable Development Goals scope: Are they aligned with a 'strong' sustainable development?

The seventh edition of the International Workshop "Advances in Cleaner Production" (IWACP) was held at Universidad de La Costa, Colombia, in June 2018. Thematic sections were held for allowing theoretical discussions and practical activities, with the main goal of supporting discussions on the United Nations Sustainable Development Goals (UN-SDGs). Participants provided their perception on the allocation of UN-SDGs as relevant for managing the main forms of capital (environmental, economic and social) within two different sustainability conceptual models: a "traditional" model (representing the interdependence and substitutability among the environment, social and economic capitals), and the five sectors sustainability model (5SenSu). Results show an unbalanced distribution of SDGs among the capitals for both sustainability models, with social capital perceived as the most relevant across the SDGs. Particularly, the environment as a resource provider supporting societal development is perceived as relevant only for SDG 6 (Clean Water and Sanitation). The main outcomes of the workshop emphasize the need for further efforts towards a more objective interpretation of policy goals in post Agenda-2030 initiatives. The SDGs must be clearly understood and have a scientific resonance to objectively support public policies. Sustainability models, such as the 5SenSu, have the potential to support a more balanced definition of sustainable development goals across the different dimensions of sustainability. (C) 2019 Elsevier Ltd. All rights reserved.
Microplastics in Mexican beaches

Mexican sandy beaches are a natural resource that provides environmental services and contribute to the economic growth of the country. However, due to mismanagement of solid waste, discharges of wastewaters and other land and marine activities, they can be polluted by microplastics. This research aimed to quantify and classify the microplastics found in Mexican beaches. Samples were taken in 33 beaches, along the five marine regions of the country, following a systematic method that allows comparison of results. Microplastics concentration varied from 31.7-545.8 M P/m(2), with high variance coefficients (28.7-122.3 %). The Gulf of California was the region that showed a higher mean concentration. Presence of microplastics was higher in urban-overdeveloped beaches and increased with the occurrence of extreme weather events. Prevention of pollution of beaches by microplastics would allow to preserve the natural resources of the country, as well as to recover valuable materials that can be reinserted in production cycles.
The impact of energy technology innovations on cleaner energy supply and carbon footprints in Europe: A linear versus nonlinear approach

Providing more affordable and cleaner energy for all raises complex and significant financial, political, technical, and institutional issues, which must all be addressed to ensure sustainable development. Energy technology innovation has a critical role to play as one of the best pathways to achieve the transition to a global clean energy system. This paper is an endeavor to study the impact of government energy technology research, development, and demonstration (RD&D) budget, which is the primary input of energy technology innovations on cleaner energy supply and carbon footprints (CFP). In this study, a cleaner energy supply is measured as the contribution of renewable energy to total primary energy supply (RE). We assumed that the effect of energy innovation is not uniform but varies according to the descending and ascending movements in a government's energy technology RD&D budget. To this end, we distinguished the impact of the descending and ascending movements in government energy technology RD&D budgets on cleaner energy supply, and CFP in Europe over the period 1985 to 2016. Additionally, we carried out a comparative examination of the effects of energy technology RD&D expenditures on RE and CFP under both linear and nonlinear panel techniques. To increase room for policy implications, we also controlled for the role of economic growth and trade openness and performed several robustness check analyses. We found that the reduction of carbon footprints associated with an increase in public support to energy technology RD&D is more pronounced than the contribution of energy technology innovation to the deployment of renewable energy in Europe. This study provided little evidence in favor of the effectiveness of a government energy technology RD&D budget to substantially boost renewable energy in Europe. Following these results, we suggest that the knowledge of the asymmetric linkage between public energy technology innovation, RE, and CFP is a starting point to achieve win-win solutions that favor clean energy and environmental sustainability. (C) 2020 Elsevier Ltd. All rights reserved.
An innovative 'Prop technique' of mouth opening in post-COVID-19 mucormycosis maxillectomy: Finding a new way with minimal efforts

General anaesthesia is associated with damage to teeth, particularly during laryngoscopy. Dental injury is more probable when pre-existing dental pathology or risk factors are present. Post-coronavirus disease -2019 mucormycosis is a rare, fulminant, lethal, angio-invasive, opportunistic fungal disease and is increasingly recognised in diabetic and immunocompromised patients. Since the flange of the laryngoscope blade appears to be the source of tooth injury, alternate methods of wide mouth opening during laryngoscopy should be examined, especially when mouth opening is limited. In this case series, we have studied 12 cases of maxillectomies with an aim to improve restricted mouth opening by using the 'Prop technique' resulting in a minimum hinging force of the flange of the blade on teeth. Preoperatively, patients were warned about the possibility of dental injuries during anaesthesia or surgery.
Costs dictate strategic investment in dominance interactions

Dominance is important for access to resources. As dominance interactions are costly, individuals should be strategic in whom they interact with. One hypothesis is that individuals should direct costly interactions towards those closest in rank, as they have most to gain-in terms of attaining or maintaining dominance-from winning such interactions. Here, we show that male vulturine guineafowl (Acryllium vulturinum), a gregarious species with steep dominance hierarchies, strategically express higher-cost aggressive interactions towards males occupying ranks immediately below themselves in their group's hierarchy. By contrast, lower-cost aggressive interactions are expressed towards group members further down the hierarchy. By directly evaluating differences in the strategic use of higher- and lower-cost aggressive interactions towards competitors, we show that individuals disproportionately use highest-cost interactions-such as chases-towards males found one to three ranks below themselves. Our results support the hypothesis that the costs associated with different interaction types can determine their expression in social groups with steep dominance hierarchies. 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'.
An urgent call for circular economy advocates to acknowledge its limitations in conserving biodiversity

This discussion paper explores the relationship between biodiversity and the circular economy and the potential implications of this relationship. The circular economy has emerged as an alternativemodel to a traditional linear economy. It aims to tackle the resource exploitation that accompanies a linear economy and decouple economic growth from reliance on primary resources. In the face of global environmental degradation and an urgent need for change, the concept has become popular around the world and has led to the release of national policies and strategies on the circular economy. Problematically, while the basic concept is clear, it is ambiguous in howitwill achieve some of its objectives, and it fails to address some key issues. In light of the accelerating rate of change, precipitous biodiversity decline is one such key issue. Through a content analysis of relevant circular economy publications, authors demonstrate that biodiversity protection is rarely mentioned in theory and policy. While the circular economy holds many benefits for society, its evasion of scrutiny has prevented it from manifesting in a comprehensive solution to environmental issues. The circular economy advocates for biomimicry, ecosystem service valuation, bioeconomy, and renewable energy. Each of these, however, has its own set of conflicts with biodiversity protection. Given the imminent need to protect biodiversity, the authors call for further research on the interaction between biodiversity and the circular economy, and for circular economy advocates to explicitly acknowledge the concept's limitations, thereby revealing the need for intersectional and complementary policies which aim to protect biodiversity. (C) 2020 Elsevier B.V. All rights reserved.
Environmental courts and foreign direct investments: evidence from China

As China's pollution problems worsen, environmental disputes are increasing rapidly. However, only 1% of environmental disputes can be resolved via judicial channels. Based on the establishment of environmental courts since 2007, we employ the multi-period DID approach to investigate the impact of environmental courts on foreign direct investments. We find that (1) compared with cities without environmental courts, FDI of cities with environmental courts would drop by 3.32% from the average, which is consistent with the pollution haven hypothesis. Besides, we verify the credibility of the conclusion through detailed endogeneity discussions, placebo tests, and robustness tests. (2) The negative effect of environmental courts on foreign direct investments is more salient in the east, regions with higher historical environmental investment, and regions with more serious local protectionism. (3) There are two channels. The greater risks of environmental litigation and stricter environmental public supervision brought by environmental courts would lead to additional environmental violation costs, thereby inhibiting foreign direct investments. Our findings provide new causal evidence for the pollution haven hypothesis from the perspective of intensive environmental justice.