ahmedabdelwahed/Medical_papers_title_and_abstract_NLP_dataset huggingface dataset:
Sustainability in Tourism as an Innovation Driver: An Analysis of Family Business Reality

Sustainable tourism can be the motivation to manage resources to satisfy environmental, social and economic needs through cultural integrity, biological diversity, ecological processes, social and economic equity, and general enrichment. Based on a systematic literature review conducted on research papers published between 2015 and 2020, and on the case studies contained within them (19 papers), this analysis focuses on the innovation drivers and sustainability drivers identified within family businesses in tourism. This desk-based research has made it possible to highlight how variable sustainability is present, albeit in a limited fashion, within family businesses in tourism; at the same time, it also shows how innovative strategies contribute to sustainable development. From the analysis, the correlations between family businesses, family dynamics, sustainability practices, innovation drivers and case studies were analyzed. The results show the poor implementation of innovative strategies, and at the same time, the presence of other variables that guarantee the adoption of sustainable practices. Important research gaps are identified, and future research priorities are suggested. Furthermore, the article is based on a collection of non-exhaustive literary sources. The implications for both family businesses and sustainable development are discussed.
Dynamic hydrogen production from PV & wind direct electricity supply - Modeling and techno-economic assessment

Renewable hydrogen from water electrolysis could contribute to the defossilization of various energy intensive sectors but continues to suffer from unfavorable economics. Attention is being paid to the direct supply of renewable electricity to electrolyzers; in particular from photovoltaic (PV) and wind units, whose fixed remuneration period has expired. However, detailed analysis of such operating strategies via modeling and simulation of the dynamic behavior of alkaline electrolysis (AEL) and polymer electrolyte membrane electrolysis (PEMEL) is lacking. In this work, an electrolyzer model is developed for both AEL and PEMEL and analyzed for PV and wind power input data sets from the region of northwest Germany. It is shown that key performance indicators (KPI) such as hydrogen production efficiency, electricity utilization rate, product output and net production costs are highly reliant on the shape of transient power input signals as well as the electrolyzers ability to cope with them. PEMEL technology generally has higher electricity utilization rates than AEL, while AEL still achieves relatively large hydrogen production quantities due to its higher efficiency. Thus, the better operational flexibility of PEMEL cannot generally be considered advantageous in terms of hydrogen production quantities - the same applies for economics. The most competitive hydrogen production costs were 4.33 (sic) per kg for the AEL technology with direct electricity supply from old wind farms, which no longer receive fixed remuneration. (C) 2020 Hydrogen Energy Publications LLC. Published by Elsevier Ltd. All rights reserved.
Filtering Touch: An Ethnography of Dirt, Danger, and Industrial Robots

"Industry 4.0" marks the advent of a new wave of industrial robotics designed to bring increased automation to "extreme" touch practices and enhance productivity. This article presents an ethnography of touch in two industrial settings using fourth generation industrial robots (a Glass Factory and a Waste Management Center) to critically explore the social and sensorial implications of such technologies for workers. We attend to manifestations of dirt and danger as encountered through describing workers' sensory experiences and identity formation. The contribution of the article is two-fold. The first is analytical through the development of three "filters" to grasp the complexity of the social and sensorial dynamics of touch in situ while tracing dispersed mediating effects of the introduction of novel technologies. The second is empirical, teasing out themes embedded in the sociosensorial dynamics of touch that intersect with gender, ethnicity, and class and relate to the technological mediation of touch.
Income Inequality and CO(2)Emissions in Developing Countries: The Moderating Role of Financial Instability

This paper studies the effects of income inequality and financial instability on CO(2)emissions in the presence of fossil fuel energy, economic development, industrialization, and trade openness. Moreover, the present study is the first to examine the moderating role of financial instability between income inequality and CO(2)emissions. We utilized panel data of forty-seven developing countries for the period 1980-2016 by utilizing the stochastic impacts by regression on population, affluence, and technology (STIRPAT) model. The empirical outcomes in all models indicate that income inequality and industrialization significantly reduce environmental degradation, while fossil fuel, trade openness, and economic growth decrease the quality of the environment. However, financial instability (without interaction term) shows no significant link to environmental quality, whereas (with interaction term) it shows a significant negative effect on CO(2)emissions. In addition, the result of the interaction variable reveals that an increase in inequality, ceteris paribus, in combination with the rise in financial instability, is expected to increase pollution. Furthermore, there exists a bidirectional causal association among income inequality, financial instability, fossil fuel, trade openness, industrialization, economic growth, and the interaction variable with CO(2)emissions.
Examining Effects of the COVID-19 National Lockdown on Ambient Air Quality Across Urban India

Lockdown seems the most effective way to prevent the spread of Coronavirus disease (COVID-19) as no vaccine is currently available in the market to cure it. Thus, India has enforced nation-wide lockdown from 25th March to lower the spread of this contagious virus and associated illness. This study aims to quantify the changes in pollution levels as well as meteorology during the 6-weeks COVID-19 lockdown over 17 cities of India for 5 major criteria pollutants using publicly available air quality data. Hourly averaged data is accessed from the air quality monitoring stations during the lockdown and immediate pre-lockdown periods and also corresponding data from the previous year (2019). During the lockdown, PM2.5, PM10, NO2, and CO reduced significantly with relatively small changes in meteorological conditions compared to the pre-lockdown period. The highest decline is observed over Ahmedabad (68%), Delhi (71%), Bangalore (87%), and Nagpur (63%) for PM2.5, PM10, NO2, and CO, respectively. The Northern region shows the highest decline for all the pollutants with most days below NAAQS during lockdown-86%, 68%, and 100% compared to 18%, 0%, and 38% in 2019 for PM2.5, PM10, and NO2, respectively. The smaller cities Dewas and Jorapokhar show lesser improvement with only 3% and 16% improvement in days under NAAQS for PM2.5. SO2 is the least affected pollutant with little improvement. The major decline is observed during 7-10 am and 7-10 pm hours of the day for PM2.5, PM10, NO2, and CO with more than 40% reduction. The meteorological changes are very small and heterogeneous over India showing a similar extent of changes compared to the previous year but the pollution levels have reduced significantly. Thus, the sharp decline in pollutant concentration during the similar to 6 weeks period national lockdown can be attributed to the reduced economic and transport activities.
The effect of health anxiety levels experienced by nurses in the COVID-19 period on conscience perceptions: A cross-sectional study

This study sought to determine the effect of health anxiety levels experienced by Turkish nurses upon their perceptions of conscience during COVID-19. The study was a cross-sectional study involving nurses working in X Hospital (n:207). The study data were collected using Personal Information Form, Health Anxiety Inventory, and Perception of Conscience Scale. The average total Health Anxiety Inventory score was 15.34 ± 5.93 (low). The mean total Perception of Conscience Scale score was 65.67 ± 10.27 (high). The independent variables were effective on perception of conscience at an effect size of 0.11.
Driving force analysis of carbon emissions in China's building industry: 2000-2015

China's building industry is the industry with the largest carbon emissions. In this study, Chinese buildings were divided into three categories: rural residential buildings, urban residential buildings and public buildings. The building steel stock was calculated, and the five contributing factors of China's building carbon emissions from 2000 to 2015 were analyzed by factor decomposition analysis and Logarithmic Mean Divisia Index (LMDI) model. They were energy intensity, energy emission coefficient, per capita building steel stock, economic output level and per capita Gross Domestic Product (GDP). This study found that China's building steel stock had increased from 1.32 billion tons in 2000 to 2.89 billion tons in 2015, and its building energy consumption had increased from 264 million tons of standard coal in 2000 to 868 million tons in 2015. The other four factors promoted to the growth of building carbon emissions except for the energy emission coefficient. The biggest contributing factor was the level of economic output, with an average annual contribution of CO2 of 1.146 billion tons. And the second biggest factor contributing was the per capita building steel stock. Therefore, China should focus on the impact of these two factors on building carbon emissions in future.
Restraint Stress Delays the Recovery of Neurological Impairments and Exacerbates Brain Damages through Activating Endoplasmic Reticulum Stress-mediated Neurodegeneration/Autophagy/Apopotosis post Moderate Traumatic Brain Injury

Based on accumulating evidence, patients recovering from mild and moderate traumatic brain injury (TBI) often experience increased sensitivity to stressful events. However, few studies have assessed on the effects and pathophysiological mechanisms of stress on TBI. In the current study, using a mouse model of moderate TBI, we investigated whether restraint stress (RS) regulates secondary neurodegeneration and neuronal cell death, which are commonly associated with neurological dysfunctions. Our data showed that RS significantly reduced body weight recovery, delayed the recovery of neurological functions (motor function, cognitive function and anxiety-like behavior) and exacerbated the brain lesion volume after moderate TBI. Immunofluorescence results indicated that moderate TBI-induced cell insults and blood-brain barrier leakage were aggravated by RS. Further Western blotting experiments showed that RS activated endoplasmic reticulum (ER) stress excessively after moderate TBI and decreased the number of NeuN-positive cells, but increased the number of CHOP/NeuN-co-positive cells by performing immunostaining in the injured cortex after moderate TBI. Moreover, RS increased the ratios of CHOP/Aβ and CHOP/p-Tau co-positive cells in the injured cortex after moderate TBI. However, blocking ER stress with the classic ER stress inhibitor salubrinal remarkably decreased apoptosis and the levels of autophagy-related proteins in the mouse model of moderate TBI plus RS. Collectively, RS delays the recovery of neurological function and deteriorates morphological damage by excessively activating ER stress-mediated neurodegeneration, apoptosis and autophagy after moderate TBI. Thus, monitoring stress levels in patients recovering from non-severe TBI may merit consideration in the future.
Environmental degradation: The role of electricity consumption, economic growth and globalisation

This paper examines the effects of electricity consumption, economic growth and globalisation on the CO2 emissions of top 10 electricity consuming countries. Taking annual data from 1971 to 2013, a panel cointegration approach is adopted where Fully Modified Ordinary Least Squares (FMOLS) and Dynamic Ordinary Least Squares (DOLS) methods are used to examine the long-run effects. Dumitrescu and Hurlin causality test is used to explore the directions of causality between the variables of interest. The empirical results reveal that there is a long-term association among these variables; and electricity consumption and economic growth positively and significantly affect the CO2 emissions in these countries. In contrast, globalisation has significant negative impact on the CO2 emissions implying the improvement of environmental quality. The findings also confirm the existence of the Environmental Kuznets Curve (EKC) hypothesis, the bidirectional causalities between economic growth and CO2 emissions, between electricity consumption and CO2 emissions, and between globalisation and economic growth in the sample countries. A unidirectional causality from economic growth to electricity consumption, from electricity consumption to globalisation and from globalisation to CO2 emissions is also found. Policy guidelines are suggested in line of the findings.
Electricity generation from a three-horizontal-well enhanced geothermal system in the Qiabuqia geothermal field, China: Slickwater fracturing treatments for different reservoir scenarios

Hot dry rock (HDR), as a clean renewable energy source, can help fulfill future energy needs and reduce the greenhouse effect. This energy source in the Qiabuqia geothermal field of Northwest China is expected to generate electricity. In this study, we used the lab parameters and the GR1 well data from the Qiabuqia site to numerically investigate the reservoir stimulation and electricity generation from a three-horizontal-well EGS system created in the granitic reservoir at depth 3500-3700 m, and at an average temperature of 218 degrees C. Slickwater fracturing and the resulting reservoir scenarios for different expected conditions in the region were analyzed in order to find suitable fracturing strategies. We then proposed three optimized EGS scenarios and evaluated their economic and environmental benefits. Results indicate that EGS power generation significantly depends on the reservoir stimulation results. The potential 2.61-4.90 MW installed capacity and 433.72-913.05 GWh total power generation are expected to be realized if the well spacing of 300-500 m and the hot water circulation rate of 20-40 kg/s in a 20-year period are achieved via the slickwater fracturing treatment. The final production temperature can be maintained at approximately 200 degrees C, and the corresponding temperature drops less than 10%. Such a case of geothermal engineering is expected to result in a reduction in greenhouse gas (GHG) emissions of 0.15-1.1 Mt, and its levelized cost of energy (LCOE) is estimated at 0.047-0.066 $/kWh. (C) 2019 Elsevier Ltd. All rights reserved.
Neural systems that facilitate the representation of social rank

Across species, animals organize into social dominance hierarchies that serve to decrease aggression and facilitate survival of the group. Neuroscientists have adopted several model organisms to study dominance hierarchies in the laboratory setting, including fish, reptiles, rodents and primates. We review recent literature across species that sheds light onto how the brain represents social rank to guide socially appropriate behaviour within a dominance hierarchy. First, we discuss how the brain responds to social status signals. Then, we discuss social approach and avoidance learning mechanisms that we propose could drive rank-appropriate behaviour. Lastly, we discuss how the brain represents memories of individuals (social memory) and how this may support the maintenance of unique individual relationships within a social group. 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'.
Interactions of high-rate nitrate reduction and heavy metal mitigation in iron-carbon-based constructed wetlands for purifying contaminated groundwater

Groundwater, as the most important drinking water source in arid regions of China, has been polluted seriously by accumulated nitrate and heavy metals. An economic alternative with capacity of simultaneous mitigation of nitrate and heavy metals is urgently needed. This study explored the incorporation of iron scraps and biochar into constructed wetlands (CWs) for enhancing purification performance and investigated interactions of effective nitrate reduction and heavy metals mitigation. The results showed that nitrate reduction performance could reach 87% in iron and carbon-based (Fe-C) CWs through Fe-C micro-electrolysis process, with lower nitrous oxide (N2O) emission (4.6-11.75 g m(-2) h(-1)) due to the complete denitrification process. Moreover, efficient heavy metals mitigation of 75-97% total chromium (Cr) and total lead (Pb) was obtained from Fe-C systems. However, the occurrence of heavy metals (Cr and Pb) in the influent posed an adverse impact on nitrate removal with the reduction rate of 19-43%. Biochemical characteristics of wetland plants indicated that the plants also suffered from the stress which induced from heavy metals. Overall, although the addition of iron and biochar in CWs enhanced nitrate and heavy metals removal in low carbon groundwater, further investigation is still needed to reveal the complex relationships between the removal of nitrate and heavy metals in CWs. (C) 2019 Elsevier Ltd. All rights reserved.
Trials and Treatments for Vascular Brain Health: Risk Factor Modification and Cognitive Outcomes

There is robust evidence linking vascular health to brain health, cognition, and dementia. In this article, we present evidence from trials of vascular risk factor treatment on cognitive outcomes. We summarize findings from randomized controlled trials of antihypertensives, lipid-lowering medications, diabetes treatments (including antidiabetic drugs versus placebo, and intensive versus standard glycemic control), and multidomain interventions (that target several domains simultaneously such as control of vascular and metabolic factors, nutrition, physical activity, and cognitive stimulation etc). We report that evidence on the efficacy of vascular risk reduction interventions is promising, but not yet conclusive, and several methodological limitations hamper interpretation. Evidence mainly comes from high-income countries and, as cognition and dementia have not been the primary outcomes of many trials, evaluation of cognitive changes have often been limited. As the cognitive aging process occurs over decades, it is unclear whether treatment during the late-life window is optimal for dementia prevention, yet older individuals have been the target of most trials thus far. Further, many trials have not been powered to explore interactions with modifiers such as age, race, and apolipoprotein E, even though sub-analyses from some trials indicate that the success of interventions differs depending on patient characteristics. Due to the complex multifactorial etiology of dementia, and variations in risk factors between individuals, multidomain interventions targeting several risk factors and mechanisms are likely to be needed and the long-term sustainability of preventive interventions will require personalized approaches that could be facilitated by digital health tools. This is especially relevant during the COVID-19 pandemic, where intervention strategies will need to be adapted to the new normal, when face-to-face engagement with participants is limited and public health measures may create changes in lifestyle that affect individuals' vascular risk profiles and subsequent risk of cognitive decline.
Shared and unique affective abnormalities in schizotypy dimensions

Attention to affect is theoretically a precursor to one's ideal affect (i.e., preference for feeling low- and high-arousal positive and negative affect) and emotion regulation (ER). In schizotypy, there have been mixed findings regarding abnormalities in attention to affect. At the same time, little is known about ideal affect in schizotypy or whether differences in ideal affect or ER difficulties in schizotypy are driven by attention to affect. Thus, this study aimed to identify shared and unique abnormalities in attention to affect, ideal affect, and ER difficulties in schizotypy, and to test whether attention to affect underlies differences in ideal affect and ER difficulties. Using groups of individuals with either extreme levels of social anhedonia (SocAnh; n = 181), extreme levels of perceptual aberrations/magical ideation (PerMag; n = 105), or individuals low on both (i.e., controls; n = 531), we tested group differences in attention to affect, ideal affect, and ER difficulties. Our findings suggest both shared and unique affective abnormalities; compared to controls, the SocAnh group paid the least attention to positive affect. Only PerMag had heightened attention to negative affect compared to controls. Additionally, we found unique abnormalities relating to ideal affect but mostly shared difficulties in ER in schizotypy. Abnormalities in ideal affect and ER remain largely consistent after accounting for attention to affect for PerMag, suggesting that attention to affect is not the primary mechanism driving these abnormalities. However, we found evidence that attention to affect underlies some SocAnh-control group differences in ideal affect and ER difficulties. Our work helps to clarify prior work and contributes to the understanding of shared and unique affective abnormalities in schizotypy. Future research may consider longitudinal approaches to test causal mechanisms of affective abnormalities in schizotypy.
Of Semiotics, the Marginalised and Laws During the Lockdown in India

On 24th March 2020, the first nationwide complete lockdown was announced by the Prime Minister of India for 21 days which was later extended to 31st May 2020. Consequently, thousands of migrant workers placed in big cities had no other option but to go back to their native villages. Their journeys back to villages- thousands of kilometres on bicycles or foot due to the non-availability of public transport amidst the travel ban- were driven by the compulsions of food and shelter. In one of many heart-wrenching incidents, sixteen laborers were run over by a freight train (all passenger trains in the wake of lockdown had been halted) while they were resting on the railway tracks. The images of the Roti (Indian bread) on the railway track strewn across were beamed on the national news channels, as a telling commentary of the unimaginable hardships of these workers. Ironically, in the eyes of law, they were trespassers under the Indian Railways Act, 1989. The Indian Railway did not pay any compensation to the victims. Their act also violated the Indian Disaster Management Act, 2005 and Indian Penal Code, 1860- the law for the breach of lockdown guidelines and the law for disobedience of order by public servants respectively- for having decided to travel amidst a travel ban. The semiotics of law-making acts 'criminal' bereft of 'moral culpability' are seldom questioned on their supposed amoral foundations. Pandemic exhibited that social fissures not only condition the individual or community actions but also the actions of the State. Minorities especially Muslims were at the receiving end of State's selective enforcement of lockdown laws in India. The various instances in the wake of the COVID-19 pandemic expose the hollow claims of equality before the law and the equal protection of laws as a constitutional promise to every citizen. This article aims to unravel the ostensible and the actual moral exhibition of such Indian laws through the lens of several incidents during the nationwide lockdown in India. This paper would argue that this constructed positivist amorality needs to be deconstructed to unearth the power imbalance that it seeks to hide.