ahmedabdelwahed/Medical_papers_title_and_abstract_NLP_dataset huggingface dataset:
Evaluating the impact of clean energy consumption and factor allocation on China's air pollution: A spatial econometric approach

China's air pollution has become a widespread concern in the academic world, but there are few studies based on spatial measurement methods to quantify the impact of clean energy consumption and factor allocation on a variety of pollutants. Based on an exploratory spatial data analysis, a spatial Durbin model and extended Cobb-Douglas production function (C-D production function) are used to study the direct, indirect and total effects of clean energy consumption and element allocation on China's air pollution emissions. The exploratory spatial data analysis results showed that the three emissions had significant agglomeration effects, and the spatial aggregation patterns of the emissions were similar to the patterns of fossil energy consumption spatial aggregation. The spatial Durbin model estimation results showed that the clean energy consumption proportion and factor allocation of energy and labour inhibited air pollution emissions. The spatial spillover effect was greater than the direct effect. The fossil energy structure and factor allocation of energy and capital stock were positively related to air pollution emissions. These findings help to formulate regional industrial policies and energy policies and contribute to the governance of air pollution and the sustainable development of economic, environmental and energy resources. (C) 2020 Elsevier Ltd. All rights reserved.
FDI and environmental degradation: the role of political institutions in South Asian countries

This study examines the impact of foreign direct investment (FDI) on environmental degradation by keeping in view the role of institutional quality (IQ) in the South Asian region. Second-generational unit root test is used to address the issue of cross-sectional dependency. Mixed order of integration enabled us to use panel autoregressive distributed lag (ARDL) method to investigate short-run and long-run association. Moreover, this study also employs Granger causality test to explore causalities among the selected variables. Empirical results reveal that FDI has a positive and statistically significant effect on environmental degradation. Institutional quality is measured as rule of law has insignificant impact on ecological footprint both in short run as well as long run. However, government stability decreases environmental degradation while corruption enhances environmental hazards tremendously. This study also supports environmental Kuznets curve (EKC) for the South Asian countries. This study emphasized the role of political institutions in environmental degradation. South Asian countries must focus on the implementation of environmental laws and regulations by improving the quality of institutions to achieve the goal of sustainable development.
Can "new infrastructure" reverse the "growth with pollution" profit growth pattern? An empirical analysis based on listed companies in China

With the increasing severity of environmental regulations, Chinese enterprises are gradually transforming from the profit growth pattern of "growth with pollution" to green development. However, this paper finds that this transformation is not complete. While catering to the national environmental protection governance requirements, some enterprises still persist the profit growth pattern of "growth with pollution." How to solve this problem? By attracting government subsidies, reducing tax burdens, and increasing the proportion of technical personnel employed, we theoretically and empirically demonstrate that the positive effect of "new infrastructure" in accelerating enterprises' transformation away from the profit growth pattern of "growth with pollution" to sustainable development. In the heterogeneity analysis section, we found that in enterprises with higher political correlation, more technical personnel, and lower labor cost, the "new infrastructure" has a stronger restraining effect on the "growth with pollution" pattern.
An overview on Hebephrenia, a diagnostic cornerstone in the neurodevelopmental model of Schizophrenia

Pre-Kraepelinian observations converged in Kahlbaum's and Hecker's description of Hebephrenia. For Kraepelin, Hebephrenia was an 'idiopathic incurable dementia whose onset is in adolescence'. It became the core of 'Dementia Praecox', and then Bleulerian 'Schizophrenia'. In recent decades, the resurgence of the 'late neurodevelopment' hypothesis of schizophrenia has brought into focus Hecker's clinical reports of adolescents who, as a result of a putative loss of psychic energy, showed a rapidly progressive cognitive impairment leading to functional and behavioural disorganization. This paper summarizes the nineteenth-century conceptualization of Hebephrenia as a developmental illness.
Test box experiment and simulations of a green-roof: Thermal and energy performance of a residential building standard for Mexico

A thermal, environmental, and economic behavior study was performed for social housing in Mexico. This research focuses on the comparison between a traditional roof (TR) and a green roof (GR) under the weather conditions of eight cities in Mexico. The study was carried out by means of thermal simulations using the EnergyPlus software, which were validated with experimental data from two test boxes (TR and GR). For the validation of the simulations, the interior surface temperature and the heat flow of the roof of the test boxes were measured, and a maximum error of 3.55% and 2.17% was found for the interior surface temperature for the traditional and green roof, respectively. The results of the simulation showed that in locations with warm weather the GR reduced the indoor temperature of the house up to 4.7 degrees C. In locations with temperate weather, the GR reduced the cooling energy demand by up to 99%, and at the same time increased the heating energy demand by 25%. From the environmental study, it was found that the GR also reduced the CO2 by 45.7%. In the economic part, the GR had a payback period of 8.8 years, which makes the implementation of the green roof viable. (C) 2019 Elsevier B.V. All rights reserved.
Synergetic PtNP@Co3O4 hollow nanopolyhedrals as peroxidase-like nanozymes for the dual-channel homogeneous biosensing of prostate-specific antigen

In this paper, novel synergetic PtNP@Co3O4 hollow nanopolyhedrals with peroxidase-like activities are designed and prepared, which can be used as electrochemical and colorimetric signal labels for the enzyme-free dual-channel homogeneous sensing of prostate-specific antigen. When prostate-specific antigens are present, the aptamer-modified PtNP@Co3O4 hollow nanopolyhedrals and magnetic beads form sandwich structures, which have excellent peroxidase-like activities, because of the synergetic effect of PtNP@Co3O4 hollow nanopolyhedrals. The sandwich structures can be separated from the mixture by the magnetic effect of the magnetic beads and catalyze the redox reactions between H2O2 and TMB, generating quantitative electrochemical and colorimetric responses in homogeneous solution simultaneously. Under the optimized conditions, the linear range of both electrochemical (0.01 to 10 ng/ml) and colorimetric (0.01-15 ng/ml) channels can satisfy the demand of prostate-specific antigen detection in clinic (4 ng/ml), and the electrochemical and colorimetric channels have a low detection limit of 0.0079 ng/ml and 0.01 ng/ml respectively without using natural enzymes. The strategy by using synergetic PtNP@Co3O4 hollow nanopolyhedrals as signal probes provides a promising scheme for developing simple, rapid, reliable, and ultrasensitive dual-channel homogeneous biosensors, which has a great potential as a powerful tool in prostate cancer diagnosis.
Study the Differences between the Parameters of Learning and Exploratory Activities in Adult Male Rhesus Monkeys (Macaca mulatta) and Baboon Hamadryas (Papio hamadryas)

We studied exploratory activity and learning ability in sexually mature male rhesus monkeys (Macaca mulatta) and hamadryas baboons (Papio hamadryas). The interspecies differences were analyzed by the following parameters: the level of exploratory activity, diversity of exploratory activity, concentration on the object, learning ability, training levels, and dynamics of learning. The studied group of hamadryas baboons showed higher levels of exploratory activity and learning ability than the group of rhesus monkeys.
Economic benefits of fourth generation district heating

The main impetus for lower distribution temperatures in district heating systems is the lower heat supply costs obtained by these lower temperatures. In this paper, the differences in heat supply costs for two different temperature levels have been estimated for various future heat supply options. The estimations were obtained by modelling a district heating system characterised by typical climate conditions for Central Europe. High sensitivity to lower supply costs from lower temperatures was found for geothermal heat, industrial excess heat, and heat pumps, whereas low cost sensitivity was estimated for combined heat and power plants using waste or biomass. Lower heat distribution loss constitutes a minor component of the total cost reductions. The current use of high heat distribution temperatures was identified as an important barrier for the transition to renewable and recycled heat supply in district heating systems. Hence, lower distribution temperatures would facilitate this required transition because lower distribution temperatures provide higher profitability for these renewable and recycled heat sources. (C) 2019 The Authors. Published by Elsevier Ltd.
Experimental evaluation of the thermal performance of cool pavement materials in cold regions of China

The local thermal property evaluation of pavement materials has not received enough attention, making the implementation of cool material measures to alleviate the urban heat island difficult. This study aims to conduct a control experiment on cool pavement bricks selection from the local market. The surface temperature difference and change characteristics of 28 bricks with different physical properties (i.e. colour, thickness, size and internal structure) were recorded by an infrared thermal imager and thermometers. Comparative analysis shows that the maximum surface temperature of the light-yellow brick is 7.3 °C lower than that of the ash black one, and the maximum surface temperature of hollow bricks is 5.6 °C lower than that of solid bricks. Thick bricks have a slightly low mean and maximum surface temperatures, and large bricks also have a low maximum surface temperature, but only deep coloured bricks. The analysis of variance revealed that for the maximum surface temperature, the three factors (i.e. colour, thickness and internal structure) have an interactive effect; for the mean surface temperature, only the colour and internal structure factors have a significant independent effect. This paper provides a feasible bottom-up cooling scheme for urban underlying surface.
Distance that the catheter covers from skin to the vein using the US-guided in-plane technique: The impact of footprint of the probe and depth of the vein

Employing the in-plane technique in infants the footprint of the ultrasound probe should be considered along with the depth of the vein, and the angle between the needle and the face of the probe, which is crucial in optimization of the visibility of the needle in the beam. Three different ultrasound probes are evaluated for different depths of vein. The hockey-stick probe provided a shorter minimum distance while maintaining the angle between the needle and the face of the probe within an optimal range for visualization of the needle in the beam, supporting its recommendation for infants with regard to its frequency and physical size.
Social Support and Subjective Health in Fibromyalgia: Self-Compassion as a Mediator

Individuals with fibromyalgia report lower levels of health-related quality of life (HRQL) compared to other chronically ill populations and interpersonal factors (i.e., social support) may influence risk. What is less understood is how intrapersonal factors (i.e., self-compassion) may impact the social support-HRQL linkage. We examined the association between social support and HRQL in a sample of persons with fibromyalgia and tested the potential mediating role of self-compassion. Self-identified adults in the United States with fibromyalgia (N = 508) were recruited from state, regional, and national organizations and support groups and completed an online battery of self-report questionnaires including: Multidimensional Health Profile-Psychosocial Functioning Index, Short-Form 36 Health Survey, and Self-Compassion Scale-Short Form. Individuals with greater subjective social support reported higher levels of self-compassion and, in turn, higher mental HRQL. These findings provide greater information about psychosocial constructs and HRQL and extend our understanding of self-compassion among individuals living with fibromyalgia.
Protein tyrosine phosphatase receptor type Z1 inhibits the cisplatin resistance of ovarian cancer by regulating PI3K/AKT/mTOR signal pathway

Most patients with ovarian cancer (OC) get remission after undergoing cytoreductive surgery and platinum-based standard chemotherapy, but more than 50% of patients with advanced OC relapse within the first 5 years after treatment and develop resistance to standard chemotherapy. The production of medicinal properties is the main reason for the poor prognosis and high mortality of OC patients. Cisplatin (DDP) resistance is a major cause for poor prognosis of OC patients. PTPRZ1 can regulate the growth and apoptosis of ovarian cancer cells, while the molecular mechanism remains unknown. This study was designed to investigate the roles of PTPRZ1 in DDP-resistant OC cells and possible mechanism. PTPRZ1 expression in OC tissues and normal tissues was analyzed by GEPIA database and verified by Real-time Quantitative Reverse Transcription PCR (RT-PCR) assay. PTPRZ1 expression in normal ovarian cancer cells and DDP-resistant OC cells was also analyzed. Subsequently, RT-PCR, Western blot, MTT experiment and flow cytometry were used to assess the effects of PTPRZ1-PI3K/AKT/mTOR regulating axis on DDP resistance of OC. PTPRZ1 expression was abnormally low in OC tissues, and notably reduced in DDP-resistant OC cells. MTT experiment and flow cytometer indicated that overexpression of PTPRZ1 enhanced the DDP sensitivity of OC cells and promoted the cell apoptosis. Moreover, the results of our research showed that PTPRZ1 might exert its biological effects through blocking PI3K/AKT/mTOR pathway. PTPRZ1 overexpression inhibitied OC tumor growth and resistance to DDP in vivo. Overall, PTPRZ1 might suppress the DDP resistance of OC and induce the cytotoxicity by blocking PI3K/AKT/mTOR pathway.
Impact of irrigation and fertilization regimes on greenhouse gas emissions from soil of mulching cultivated maize (Zea mays L.) field in the upper reaches of Yellow River, China

Greenhouse gas emissions from agricultural soil are strongly affected by the field practices including fertilization, irrigation and cultivation model. Understanding the mechanism of greenhouse gas emissions from soil and their impact factors is essential for cleaner agricultural production and global greenhouse gas mitigation. This paper investigated greenhouse gas emissions from soil of mulching cultivated maize (Zea mays L.) field under different irrigation and fertilization regimes. Border and drip irrigation with different schedules were implemented in the upper reaches of Yellow River, China. Border irrigation included three different irrigation depths (180, 315 and 450 mm), and drip irrigation was controlled by a tensiometer and triggered by three different matric potentials (similar to 15, similar to 25 and similar to 35 kPa). Three nitrogen fertilizer levels (350, 250 and 150 kg ha(-1)) were applied for the drip irrigation triggered by the matric potential of -25 kPa. Soil acted as a sink of CH4 in the semiarid site regardless of irrigation and nitrogen fertilization regimes. Irrigation scheduling had no significant influence on CO2 emissions, but the irrigation method did have. Cumulative CO2 emissions increased by 24.7% for drip irrigation compared with border irrigation at the same water and nitrogen fertilizer levels. Cumulative CO2 emissions for the high nitrogen fertilizer treatment (350 kg ha(-1)) increased by 19.3% in comparison with the medium and low levels under drip irrigation. N2O emissions were positively related to the irrigation depth under both drip and border irrigation. Cumulative N2O emissions reduced by 23.5% for drip irrigation compared with border irrigation at the same water and nitrogen fertilizer levels. N2O emissions increased with the increase in nitrogen fertilizer application under drip irrigation. Drip irrigation with high frequency (- 15 kPa) and medium nitrogen fertilization (250 kg ha(-1)) obtained the best economic and environmental performance through comprehensive evaluation of the yield, water and fertilizer productivity, global warming potential, greenhouse gas intensity and net ecosystem economic budget. The findings can provide an opportunity for greenhouse gas mitigation without crop yield reduction following the proper irrigation and fertilization regimes in the semiarid region. (C) 2020 Elsevier Ltd. All rights reserved.
New challenges of food security in Northwest China: Water footprint and virtual water perspective

In this study, the water footprint (blue, green and grey WF) and virtual water theory were used to uniform measure the new challenges (population growth, population urbanization, dietary structure change, energy industry development, grain trade and climate change) of food security in Northwest China. Moreover, this study quantified the demand for new challenges to water resources from 2000 to 2016, and then evaluated their impact on water resources and food security in Northwest China. The results showed that in 2000-2016, population growth caused the food consumption WF to increase from 153.8 Gm ( )to 159.6 Gm(3), with an average annual growth rate of 0.4%. The ratio of per capita consumption of WF of urban residents to rural areas has increased from 80.3% to 120%. The per capita food consumption in the region increased by 1.3% annually due to changes in dietary structure. However, with the increase of water use efficiency, the WF decreased by 0.3% per year. Among them, the total consumption WF of food rations decreased by 51.9%, with an average annual decrease of 4.4%, and that of meat, dairy products and aquatic products increased by 2.4%, 10.8% and 3.0% per year, respectively. From the economic point of view, the development of the energy industry has increased the competition index of energy-grain to water resources from 0.22 to 0.49. Due to climate change, although the precipitation increased at a rate of 3.2 mm/yr, the increase in ET 0 was 3.3 mm/yr, and thus the demand for water resources in agricultural production increased. Based on the results, this paper suggests to carry out measures such as optimizes crop planting structure, adopts effective biological, agricultural technologies, guides healthy food consumption structure, strengthens international food trade and biofuel use and so on to reduce the WF of grain crops and energy industry. Ultimately, the goal of reducing regional water stress and ensuring food security is achieved. (C) 2019 Elsevier Ltd. All rights reserved.
Techno-economic analysis of grid-integrated PV/wind systems for electricity reliability enhancement in Ethiopian industrial park

In most developing countries, the electricity supply system is highly unreliable. Ethiopia is one of the least developed country in the world, and the existing distribution system of the country has encountered frequent power interruptions. During this interruption, diesel generator supplied the critical load of most industries in the country. This paper examines the feasibility of integrating PV/wind power systems into existing unreliable grid/diesel generator systems for supplying the critical loads of industrial parks in three different regions of Ethiopia. The study focused on how to provide a reliable supply with cost-effective and environment-friendly resources. Based on load variation, grid interruption, and meteorological data of the study areas, modeling and techno-economic analysis of grid-connected PV/wind/diesel systems were carried out using HOMER Pro software by exploring four different scenarios involving the consideration of unscheduled outages. Results showed that grid//diesel/PV/battery systems are technically, economically, and environmentally feasible for all three climate regions with the cost of energy at 0.044, 0.049, and 0.048 $/kWh, respectively. Also found that excess electricity, cost of energy, and the net present cost is slightly increased with PV penetration, whereas the CO2 emissions for these locations decreased by 45%, 44%, and 42% compared to the existing systems.
Analyzing the environmental Kuznets curve hypothesis: The role of disaggregated transport infrastructure investments

The provision of affordable and sustainable transport systems is a crucial issue for both the establishment of sustainable cities and the development of society. It is a significant part of the Sustainable Development Goals (SDGs). In this paper, we aimed to unveil interactions between infrastructure investments in transport systems and environmental degradation in 21 Organisation for Economic Co-operation and Development (OECD) countries. The empirical findings can be summed up as follows: (a) there is a long-run relationship between variables; (b) gross domestic product (GDP) per capita has a positive and statistically significant coefficient, while GDP per capita square has a negative statistically significant coefficient, and therefore, the environmental Kuznets curve (EKC) hypothesis is valid (c) additionally, rail infrastructure investment has a negative and statistically significant parameter sign, whereas road and air infrastructure investments have a positive and statistically significant parameter sign; and (d) trade openness has a positive and statistically significant coefficient. Hence, rail investment helps achieve the establishment of sustainable transport systems and low-environmental pollution targets of SDGs, whereas road and air investments hamper their establishment.
Institutional ethnography - a primer

This review introduces a qualitative methodology called institutional ethnography (IE) to healthcare professionals interested in studying complex social healthcare systems. We provide the historical context in which IE was developed, and explain the principles and terminology in IE for the novice researcher. Through the use of worked examples, the reader will be able to appreciate how IE can be used to approach research questions in the healthcare system that other methods would be unable to answer. We show how IE and qualitative research methods maintain quality and rigour in research findings. We hope to demonstrate to healthcare professionals and researchers that healthcare systems can be analysed as social organisations, and IE may be used to identify and understand how higher-level processes and policies affect day-to-day clinical work. This understanding may allow the formulation and implementation of actionable improvements to solve problems on the ground.