ahmedabdelwahed/Medical_papers_title_and_abstract_NLP_dataset huggingface dataset:
Structural Racism and Quantitative Causal Inference: A Life Course Mediation Framework for Decomposing Racial Health Disparities

Quantitative studies of racial health disparities often use static measures of self-reported race and conventional regression estimators, which critics argue is inconsistent with social-constructivist theories of race, racialization, and racism. We demonstrate an alternative counterfactual approach to explain how multiple racialized systems dynamically shape health over time, examining racial inequities in cardiometabolic risk in the National Longitudinal Study of Adolescent to Adult Health. This framework accounts for the dynamics of time-varying confounding and mediation that is required in operationalizing a "race" variable as part of a social process (racism) rather than a separable, individual characteristic. We decompose the observed disparity into three types of effects: a controlled direct effect ("unobserved racism"), proportions attributable to interaction ("racial discrimination"), and pure indirect effects ("emergent discrimination"). We discuss the limitations of counterfactual approaches while highlighting how they can be combined with critical theories to quantify how interlocking systems produce racial health inequities.
Gasoline fume inhalation induces apoptosis, inflammation, and favors Th2 polarization in C57BL/6 mice

Gasoline exposure has been widely reported in the literature as being toxic to human health. However, the exact underlying molecular mechanisms triggered by its inhalation have not been thoroughly investigated. We herein present a model of sub-chronic, static gasoline vapor inhalation in adult female C57BL/6 mice. Animals were exposed daily to either gasoline vapors (0.86 g/animal/90 min) or ambient air for 5 days/week over 7 consecutive weeks. At the end of the study period, toxic and molecular mechanisms underlying the inflammatory, oxidative, and apoptotic effects triggered by gasoline vapors, were examined in the lungs and liver of gasoline-exposed (GE) mice. Static gasoline exposure induced a significant increase (+21%) in lungs/body weight (BW) ratio in GE versus control (CON) mice along with a pulmonary inflammation attested by histological staining. The latter was consistent with increases in the transcript levels of proinflammatory cytokines [Interleukins (ILs) 4 and 6], respectively by ~ 6- and 4-fold in the lungs of GE mice compared to CON. Interestingly, IL-10 expression was also increased by ~ 10-fold in the lungs of GE mice suggesting an attempt to counterbalance the established inflammation. Moreover, the pulmonary expression of IL-12 and TNF-α was downregulated by 2- and 4-fold, respectively, suggesting the skewing toward Th2 phenotype. Additionally, GE mice showed a significant upregulation in Bax/Bcl-2 ratio, caspases 3, 8, and 9 with no change in JNK expression in the lungs, suggesting the activation of both intrinsic and extrinsic apoptotic pathways. Static gasoline exposure over seven consecutive weeks had a minor hepatic portal inflammation attested by H&E staining along with an increase in the hepatic expression of the mitochondrial complexes in GE mice. Therefore, tissue damage biomarkers highlight the health risks associated with vapor exposure and may present potential therapeutic targets for recovery from gasoline intoxication.
Alcohol Consumption Reported during the COVID-19 Pandemic: The Initial Stage

Physical health is not the only area affected by the outbreak of the SARS-CoV-2 virus pandemic. There are also other consequences that have globally affected many millions at other levels, namely: Societal, political, economic, and cultural. This study aims to survey alcohol drinking throughout the pandemic so as to investigate those factors considered most relevant; i.e., sociodemographic and clinical. A longitudinal study was designed. The first (or initial) stage was completed between April 10-20 2020 on 443 subjects during the enforcement of the "Lockdown" in Poland. The second stage will be due in June 2020. As well as an in-house questionnaire, the study used: The Alcohol Use Disorder Identification Test (AUDIT), General Health Questionnaire (GHQ-28), Perceived Stress Scale (PSS-10), and the Brief COPE Inventory (Mini COPE). Alcohol was the most commonly used psychoactive substance (73%) identified. More than 30% changed their drinking habits because of the pandemic, with 16% actually drinking less, whilst 14% did so more. The former group was significantly younger than the latter. Amongst the stress-related coping strategies, it was found that current alcohol drinkers were significantly less able to find anything positive about the pandemic situation (positive reframing) and were mentally less able to cope. Those drinking more now were found to have been drinking more intensively before the pandemic started.
Perceptions of offsite construction in the United States: An investigation of current practices

New offsite construction practices are emerging in the construction industry to address a broad set of productivity issues that cut across organizational, technological, and strategic domains. Despite all its benefits from sustainable and economic perspectives, offsite construction still faces significant resistance from both the construction industry and the built-environment market. Evaluating advances in this industry is critical, especially because there is a need to determine the factors that are preventing the industry from more fully and rapidly adopting offsite strategies. This paper aims to investigate the industry perspective regarding the adoption of offsite strategies and provide an understanding of the development of the offsite construction industry over time. In this regard, the "State-of-the-Art of Modular Construction Symposium" was held in May 2017 at the University of Florida with the intent to bring together stakeholders engaged in multi-trade prefabrication to debate the drivers, challenges and future directions of the offsite industry. During this event, data was collected by means of unstructured interviews and a questionnaire for the purpose of determining the characteristics the U.S. offsite construction industry. A SWOT framework was used to assess the strengths and weaknesses of the industry adopting offsite strategies as well as the external opportunities and threats. The questionnaire survey data analysis showed the current drivers, core elements, barriers, and possible solutions to the barriers of further implementation of offsite construction. The results are intended to help construction organizations understand the potential benefits of offsite construction and assist them in creating a roadmap for their future strategic development.
Heart Failure Spending Function: An Investment Framework for Sequencing and Intensification of Guideline-Directed Medical Therapies

Heart failure with reduced ejection fraction is managed with increasing numbers of guideline-directed medical therapies (GDMT). Benefits tend to be additive. Burdens can also be additive. We propose a heart failure spending function as a conceptual framework for tailored intensification of GDMT that maximizes therapeutic opportunity while limiting adverse events and patient burden. Each patient is conceptualized to have reserve in physiological and psychosocial domains, which can be spent for a future return on investment. Key domains are blood pressure, heart rate, serum creatinine, potassium, and out-of-pocket costs. For each patient, GDMT should be initiated and intensified in a sequence that prioritizes medications with the greatest expected cardiac benefit while drawing on areas where the patient has ample reserves. When reserve is underspent, patients fail to gain the full benefit of GDMT. Conversely, when a reserve is fully spent, addition of new drugs or higher doses that draw upon a domain will lead to patient harm. The benefit of multiple agents drawing upon varied physiological domains should be balanced against cost and complexity. Thresholds for overspending are explored, as are mechanisms for implementing these concepts into routine care, but further health care delivery research is needed to validate and refine clinical use of the spending function. The heart failure spending function also suggests how newer therapies may be considered in terms of relative value, prioritizing agents that draw on different spending domains from existing GDMT.
Unemployment rate, clean energy, and ecological footprint in OECD countries

OECD countries have encountered the challenges of improving the environmental sustainability while maintaining economic growth by not impairing employment. This study attempts to reexamine the environmental Kuznets curve (EKC) hypothesis by using ecological footprint as an indicator of environmental degradation. Besides, our study aims to test the validity of environmental Phillips curve (EPC) and role of clean energy on ecological footprint. Our data cover a panel of 36 OECD countries from 1995 to 2015. We adopt the second-generation panel unit root and cointegration test to account for the presence of cross-section dependence (CSD). Moreover, the long-run relationship is estimated using Common Correlated Effect Mean Group (CCEMG) and Augmented Mean Group (AMG) that are robust to CSD. Our findings reveal that the EKC hypothesis is not valid while EPC is confirmed in OECD countries. Though there is a trade-off between unemployment and environmental degradation in OECD countries, the development of new technologies, especially in the clean energy sector, could be a key factor contributing to sustainable growth and better environmental quality. Thus, it is recommended that OECD countries should focus on the development of innovative green technologies and strengthen the initiatives that promote renewable energy consumption.
Mesenchymal Stem Cell-Derived Exosomes Improved Cerebral Infarction via Transferring miR-23a-3p to Activate Microglia

Mesenchymal stem cells-derived exosome (MSCs-exo) is a potential method for cerebral infarction (CI) treatment. Here, western blot and qRT-PCR were carried out to measure the expression of proteins and genes, respectively. Modified neurological severity score and TTC staining were used to evaluate the brain injury of middle cerebral artery occlusion (MCAO) rats. Immunohistochemistry was performed to detect the expression of Iba-1, iNOS, and Arg-1 in tissues. Moreover, the rate of M1/M2 microglia was ensured by flow cytometry, and the concentration of pro-inflammatory factors in medium was measured using ELISA. Here, we found that miR-23a-3p is increased in human umbilical cord blood MSCs-exo. Bone marrow MSCs-exo (BMSCs-exo) could improve the injury in neuronal function and reduce the infarct size in vivo. However, the improvement of BMSCs-exo to CI was reversed by miR-23a-3p knockdown. The inhibition of BMSCs-exo to MCAO-induced microglia activation and M1 polarization and the upregulation of pro-inflammatory factors were limited by miR-23a-3p knockdown, which also confirmed in lipopolysaccharide-induced microglia. Overall, our data indicated that MSCs-exo improves CI via transferring miR-23a-3p, thus to induce the deactivation of microglia and M2 polarization. Our study revealed a new regulatory mechanism of CI.
Maternal mood moderates the trajectory of emotional and behavioural problems from pre- to during the COVID-19 lockdown in preschool children

The COVID-19 outbreak and subsequent lockdown have dramatically impacted families' life, raising serious concerns about children's emotional wellbeing. However, few studies have investigated whether the impact of the COVID-19 lockdown on psychological adjustment in youngest can be moderated by maternal mood and, to our knowledge, none of them has adopted a longitudinal design. The main aim of the current study was to explore if the intensity and directionality of maternal mood symptoms moderated the trajectory of emotional and behavioural problems in Italian pre-schoolers from pre- to during the lockdown adopting a longitudinal design. To assess maternal anxiety and depression symptoms, the EPDS and the STAI-Y were filled in by 94 and 88 women before the lockdown, when their children were 1 (Wave P1) and 3 years old (Wave P2), respectively, and by 74 women during the lockdown, when their children were 4 years old (Wave L). Mothers also filled in the CBCL/1 ½-5 to assess their children's emotional and behavioural problems at each assessment wave. As a whole, children's emotional and behavioural problems significantly increased from pre- to during the lockdown. Furthermore, maternal mood moderated this trajectory. In particular, greater maternal mood symptoms were significantly associated with a greater increase in emotional reactive, anxious-depressed, withdrawn and aggressive symptoms during the lockdown. These results contribute to shed light on the role played by maternal emotional wellbeing in buffering the impact of the COVID-19 lockdown on children's behavioural development. Albeit preliminary, the current findings highlight the need to provide timely psychological interventions to distressed mothers to help their children to better cope with the effects of the pandemic.
Recurring outbreaks by the same Escherichia coli ST10 clone in a broiler unit during 18 months

The current investigation aimed at characterizing the cause of multiple disease outbreaks in the same broiler production unit during a course of 18 months. The outbreaks had mortality rates of up to 22%. Escherichia coli was diagnosed as the responsible agent. Multiple-locus variable-number tandem-repeat analysis showed that all chicken isolates had identical band patterns. Core genome comparisons demonstrated that the 36 chicken isolates differed with maximum of nine nucleotides indicating that the same E. coli clone was responsible for all seven disease outbreaks despite adherence to the all-in-all production principle and rigorous cleaning and disinfection procedures.
Tracking urban sustainability transition: An eco-efficiency analysis on eco-industrial development in Ulsan, Korea

The ecologically efficient transformation of natural resources into economic output is a critical pathway to achieve urban and industrial sustainability. Eco-efficiency approach offers an effective tool to uncover both the status and trends of such a transformation. This paper applied a modified eco-efficiency approach in combination with data envelopment analysis, to analyze the sustainability transition of Ulsan metropolis, Korea, under a fifteen years' promotion (2000-2015) of eco-industrial development (EID). In the design for analysis, eco-efficiency change e both at industrial park level and the regional level e was investigated to analyze whether eco-efficiency improvements at the park level coincide with those at the regional level. Our main findings were highlighted as: At the regional level, from 2000 to 2015, eco-efficiency of industrial waste generation and energy use has improved by 35.0% and 21.4%, respectively, driven by a significant reduction in waste and energy intensities attributable to technological improvements (EID promotion and urban-industrial symbiosis). At the industrial park/complex level, two national eco-industrial parks (EIPs) in Ulsan showed highest eco-efficiency (pure technical efficiency was 1.0) in analytical years, compared with nine regional industrial complexes. At both levels of analysis, EIPs stood out as eco-efficient and their contribution to urban sustainability transition was overwhelming. Moreover, EIP implementation and urban-industrial symbiosis in Ulsan were identified as the major drivers of regional EID policy. Based on our critical findings, EID was highlighted as a preventative and regenerative approach to improve eco-efficiency at the regional and industrial park level, enlightening other regional and local initiatives towards urban sustainability. (C) 2020 Elsevier Ltd. All rights reserved.
Prehospital Cardiac Arrest Airway Management: An NAEMSP Position Statement and Resource Document

Airway management is a critical component of out-of-hospital cardiac arrest (OHCA) resuscitation. Multiple cardiac arrest airway management techniques are available to EMS clinicians including bag-valve-mask (BVM) ventilation, supraglottic airways (SGAs), and endotracheal intubation (ETI). Important goals include achieving optimal oxygenation and ventilation while minimizing negative effects on physiology and interference with other resuscitation interventions. NAEMSP recommends:Based on the skill of the clinician and available resources, BVM, SGA, or ETI may be considered as airway management strategies in OHCA.Airway management should not interfere with other key resuscitation interventions such as high-quality chest compressions, rapid defibrillation, and treatment of reversible causes of the cardiac arrest.EMS clinicians should take measures to avoid hyperventilation during cardiac arrest resuscitation.Where available for clinician use, capnography should be used to guide ventilation and chest compressions, confirm and monitor advanced airway placement, identify return of spontaneous circulation (ROSC), and assist in the decision to terminate resuscitation.
Massive cerebral venous sinus thrombosis in vaccine-induced immune thrombotic thrombocytopenia after ChAdOx1 nCoV-19 serum: case report of a successful multidisciplinary approach

We report a case of massive cerebral venous sinus thrombosis in the contest of vaccine-induced immune thrombotic thrombocytopenia that required the rapid coordination of many specialists from different departments, notably emergency, neurology, neuroradiology, hematology, and neurosurgery. The patient was rapidly treated with steroids, immunoglobulin, and fondaparinux. She underwent within 6 h after hospital admission a mechanical thrombectomy in order to allow flow restoration in cerebral venous systems. Neuroendovascular treatment in cerebral venous thrombosis related to VITT has never been described before. It can represent a complementary tool along with the other therapies and a multidisciplinary approach.
Development of High Performance Computing Tools for Estimation of High-Resolution Surface Energy Balance Products Using sUAS Information

sUAS (small-Unmanned Aircraft System) and advanced surface energy balance models allow detailed assessment and monitoring (at plant scale) of different (agricultural, urban, and natural) environments. Significant progress has been made in the understanding and modeling of atmosphere-plant-soil interactions and numerical quantification of the internal processes at plant scale. Similarly, progress has been made in ground truth information comparison and validation models. An example of this progress is the application of sUAS information using the Two-Source Surface Energy Balance (TSEB) model in commercial vineyards by the Grape Remote sensing Atmospheric Profile and Evapotranspiration eXperiment - GRAPEX Project in California. With advances in frequent sUAS data collection for larger areas, sUAS information processing becomes computationally expensive on local computers. Additionally, fragmentation of different models and tools necessary to process the data and validate the results is a limiting factor. For example, in the referred GRAPEX project, commercial software (ArcGIS and MS Excel) and Python and Matlab code are needed to complete the analysis. There is a need to assess and integrate research conducted with sUAS and surface energy balance models in a sharing platform to be easily migrated to high performance computing (HPC) resources. This research, sponsored by the National Science Foundation FAIR Cyber Training Fellowships, is integrating disparate software and code under a unified language (Python). The Python code for estimating the surface energy fluxes using TSEB2T model as well as the EC footprint analysis code for ground truth information comparison were hosted in myGeoHub site https://mygeohub.org/ to be reproducible and replicable.
The establishment and maintenance of dominance hierarchies

Animal groups are often organized hierarchically, with dominant individuals gaining priority access to resources and reproduction over subordinate individuals. Initial dominance hierarchy formation may be influenced by multiple interacting factors, including an animal's individual attributes, conventions and self-organizing social dynamics. After establishment, hierarchies are typically maintained over the long-term because individuals save time, energy and reduce the risk of injury by recognizing and abiding by established dominance relationships. A separate set of behaviours are used to maintain dominance relationships within groups, including behaviours that stabilize ranks (punishment, threats, behavioural asymmetry), as well as signals that provide information about dominance rank (individual identity signals, signals of dominance). In this review, we describe the behaviours used to establish and maintain dominance hierarchies across different taxa and types of societies. We also review opportunities for future research including: testing how self-organizing behavioural dynamics interact with other factors to mediate dominance hierarchy formation, measuring the long-term stability of social hierarchies and the factors that disrupt hierarchy stability, incorporating phenotypic plasticity into our understanding of the behavioural dynamics of hierarchies and considering how cognition coevolves with the behaviours used to establish and maintain 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'.
Examining the linkages between electricity consumption and economic growth in African economies

As global energy consumption continues to increase, an increasing attention is also being drawn to the need to embrace cleaner energy despite ensuring energy security and efficiency in production. This study examines the relationship between economic growth and electricity consumption in sub-Sahara African economies between 1971 and 2017. It employs the System Generalized Methods-of-Moments (System GMM) techniques so as to address the issues of endogeneity in the data generating process. We also examine whether the impact of electricity consumption differs by the level of energy intensity, by employing an advanced dynamic panel threshold regression model to ascertain the degree of threshold level of energy intensity and the potential of threshold asymmetric of energy consumption on economic growth. Our results show significant positive relationship between electricity consumption and growth, including a threshold level of energy intensity which stood at 0.48%. This suggests that energy consumption beyond 0.48% will reduce growth, while consumption below this level will stimulate growth. (C) 2020 Elsevier Ltd. All rights reserved.