ahmedabdelwahed/Medical_papers_title_and_abstract_NLP_dataset huggingface dataset:
Multiparameter platelet function analysis of bleeding patients with a prolonged platelet function analyser closure time

Patients referred for evaluation of bleeding symptoms occasionally have a prolonged platelet function analyser (PFA) closure time, without evidence for von Willebrand disease or impaired platelet aggregation. The aim of this study was to establish a shear-dependent platelet function defect in these patients. Patients were included based on high bleeding score and prior PFA prolongation. Common tests of von Willebrand factor (VWF) and platelet function and exome sequencing were performed. Microfluidic analysis of shear-dependent collagen-induced whole-blood thrombus formation was performed. In 14 PFA-only patients, compared to healthy volunteers, microfluidic tests showed significantly lower platelet adhesion and thrombus formation parameters. This was accompanied by lower integrin activation, phosphatidylserine exposure and P-selectin expression. Principal components analysis indicated VWF as primary explaining variable of PFA prolongation, whereas conventional platelet aggregation primarily explained the reduced thrombus parameters under shear. In five patients with severe microfluidic abnormalities, conventional platelet aggregation was in the lowest range of normal. No causal variants in Mendelian genes known to cause bleeding or platelet disorders were identified. Multiparameter assessment of whole-blood thrombus formation under shear indicates single or combined effects of low-normal VWF and low-normal platelet aggregation in these patients, suggesting a shear-dependent platelet function defect, not detected by static conventional haemostatic tests.
Becoming prosumer: Revealing trading preferences and decision-making strategies in peer-to-peer energy communities

Increasing distributed renewable energy generation renders balancing of energy supply and demand more challenging. Peer-to-peer (P2P) exchange of decentrally generated energy is a promising means to optimize renewable energy flows. While previous research has primarily focused on the technological and economic benefits of P2P energy trading, little research has investigated customer preferences in this context so far. It is thus still unclear to what extent private actors such as homeowners are actually willing to participate in P2P energy communities and if so, under which conditions. Here, we address this research gap by analyzing homeowners' trading decisions in simulated P2P electricity trading scenarios. Findings based on a sample of 301 German homeowners show that community electricity prices and state of charge of private energy storages are key determinants of homeowners' trading behavior. We moreover identified four target groups that systematically differed in their decision-making strategies ranging from price-focused prosumers (38.9%) to classic nontrading consumers (22.6%). Our findings provide promising insights for the design of P2P communities and allow policy makers to more accurately predict risks and benefits associated with P2P projects. Finally, our findings contribute to the development of tailored policy instruments aiming to increase P2P trading in decentralized energy communities.
The heterogeneous effects of socioeconomic determinants on PM2.5 concentrations using a two-step panel quantile regression

The haze pollution caused by high PM2.5 concentrations has adverse health effects worldwide, especially in rapidly developing China. As meteorological conditions are uncontrollable, this study aims to investigate how anthropogenic factors affect the PM2.5 concentration under high, medium and low emission levels. The distribution of socioeconomic variables is often non-normal, with important information hidden in the tail. By using balanced panel data of 273 Chinese cities from 2010 to 2016, two-step panel quantile regression is adopted to examine the cross-quantile heterogeneity of seven socioeconomic variables: economic growth, industrial structure, urbanization, foreign direct investment (FDI), population density, public transportation and energy consumption. The empirical results show that the relationships of PM2.5 concentration with economic growth, urbanization, industrialization and FDI are heterogeneous. Compared with other variables, population density exerts the greatest positive effect on PM2.5 pollution across all quantile cities. Moreover, the impact of GDP per capita on PM2.5 concentration in the lower 25th quantile cities is stronger than those in the 25th-50th, 50th-75th and upper 75th quantile cities. The effects of FDI in the upper 75th and lower 25th quantile cities are higher than those in the 25th-50th and 50th-75th quantile cities, which supports the "pollution haven" hypothesis. The impact of industrial structure on PM2.5 concentration in the upper 75th quantile cities is larger than those in the 0-25th, 25th-50th, and 50th-75th quantile cities. The heterogeneous effects of these socioeconomic determinants could assist policymakers in implementing differentiated policies that fit cities with different levels of air pollution.
Recent advances in systemic therapy for hepatocellular carcinoma

Hepatocellular carcinoma (HCC) is one of the most common and lethal malignant tumors in the world. Therapeutic options for advanced HCC are limited. Systemic treatment, especially with conventional cytotoxic drugs, is usually ineffective. For more than a decade, sorafenib has been the only systemic drug that has been proven to be clinically effective for treating advanced HCC. However, over the past three years, the rapid progress of molecular targeted therapies has dramatically changed the treatment landscape for advanced HCC. Immune checkpoint therapies are now being incorporated into HCC therapies, and their combination with molecular targeted therapy is emerging as a tool to enhance the immune response. In this review, we summarize the development and progress of molecular targeted agents and immunotherapies in HCC.
Vibration anesthesia during carboxytherapy for cellulite: a study protocol

Background: To date, there has been no investigation addressing the effects of vibration anesthesia during carboxytherapy. Aim: Investigate the analgesic effect of different vibratory devices during carboxytherapy for the treatment of cellulite. Materials & methods: A total of 78 women between 18 and 49 years of age with cellulite in the gluteal region will be randomly allocated to three groups: Group A (carboxytherapy and vibratory device A), Group B (carboxytherapy and vibratory device B) and control group. Pain intensity will be assessed using a numerical rating scale after each puncture. Expected outcome: Vibration anesthesia is expected to be effective at diminishing the pain intensity caused by carboxytherapy comparison with the control group, with no differences between the vibratory devices. Trial registry: Brazilian Registry of Clinical Trials: ReBEC (RBR-8jcqy7c).
Utilization of coal fly ash in China: a mini-review on challenges and future directions

The rapid economic development in China places a large demand for energy, and as a result, thermal power plants in China are producing an enormous amount of coal fly ash (CFA) which causes severe environmental pollution. This paper briefly describes the current production and utilization status of CFA in China and identifies the challenges confronting sustainable CFA utilization as the Chinese economy is being transformed. These issues include a regional imbalance in supply and demand, reducing demand in the real estate industry as well as stricter laws for environmental protection. Viable directions for future CFA utilization are proposed, for example, production of CFA-based ceramic tiles, recovery of elemental resources, agricultural melioration, treatment of wastewater and flue gas, and production of high-volume CFA concretes. This paper has some guiding significance for sustainable and cleaner utilization of CFA in China and even worldwide.
fMRI replicability during emotional scene viewing: Functional regions and sample size

Recent findings have questioned the replicability of functional magnetic resonance imaging (fMRI) in the study of affective processing, reporting low replicability of emotional enhancement during a face-matching task. However, poor replicability may instead reflect a lack of emotional engagement for face matching. In the current study, replicability of emotional enhancement was tested in a large (N = 160) sample when emotional engagement was assessed during pleasant, neutral, and unpleasant picture viewing, which reliably engages affective reactions in both the brain and the body. Replicability was computed using a subsampling technique, in which random sets of subjects of different sample sizes (N = 20, 40, 60, 80) were selected from the entire dataset, and replicability of emotional enhancement for peaks, clusters, and voxels were averaged across 500 permutations for each sample size. Consistent with previous findings, fMRI replicability increased with increasing sample size. On the other hand, even with relatively small samples, fMRI replicability for peaks, clusters, and voxels during emotional, compared to neutral, scene viewing was good to excellent. Importantly, replicability varied in different brain regions, with excellent replicability at both the cluster and peak level with an N of 40, at the most conservative threshold (p < .001), in the amygdala and the visual cortex. The data argue against general recommendations regarding sample size in fMRI studies of emotion, suggesting instead that degree of replicability depends on successful emotional engagement in task-related brain regions.
Techno-economic analysis of low-carbon hydrogen production by sorption enhanced steam methane reforming (SE-SMR) processes

Hydrogen is an attractive energy carrier that will play a key role in future global energy transitions. This work investigates the techno-economic performance of six different sorption enhanced steam methane reforming (SESMR) configurations integrated with an indirect natural gas or biomass-fired calciner, oxy-fuel combustion and chemical-looping combustion for large-scale blue and carbon-negative hydrogen production. The technoeconomic performance of the proposed cases was evaluated by their net efficiency, CO2 capture efficiency, levelised cost of hydrogen (LCOH), and costs of CO2 avoided and removal. A sensitivity analysis was also conducted to evaluate the key parameters and explore existing uncertainties that can affect the economic performance of the proposed SE-SMR processes. The results revealed that the proposed systems were comparable with conventional steam methane reforming (SMR) with carbon capture and storage (CCS). The LCOH of the proposed SE-SMR plants ranged from 1.90-2.80 pound/kg, and the costs of CO2 avoided and removal ranged from 33-69 pound/tonne and 58-10(7) pound/tonne, respectively. By applying a carbon price (16 pound/tonne CO2), the costs of CO2 avoided and removal for the proposed SE-SMR processes could be significantly reduced. The results of cumulative discounted cash flow of SE-SMR plants at a hydrogen selling price of 3.00 pound/kg indicated that all the investment of the proposed cases could be paid back after eight years, even if the carbon tax is zero.
Economic costs of heat-induced reductions in worker productivity due to global warming

We assess economic costs of heat-induced reductions in worker productivity at global scale under RCP2.6 and RCP8.5. Losses in worker productivity are calculated by using an empirically estimated epidemiological exposure-response function, and the associated economic costs are assessed by using a dynamic mull-region, multi-sector computable general equilibrium model. Autonomous mechanisation of outdoor work in agriculture and construction is implemented in the model. We find that under RCP8.5 by 2100, heat-induced reductions in worker productivity result in an average decline of 1.4% in global gross domestic product (GDP) relative to the reference scenario with no climate change. This is approximately 0.4 percentage points less than when no autonomous mechanisation is assumed. For comparison, measuring the economic costs using occupational health and safety recommendations leads to a 2.4% reduction in global GDP, which is substantially larger than when the epidemiological exposure-response function is used. Countries of Africa, South-East Asia, and South Asia are the worst affected by heat stress. However, economic costs could be substantially alleviated if a 2 degrees C global warming target is achieved. Under RCP2.6, the average reduction in global GDP is only 0.5%. A large fraction of global mitigation costs of achieving the 2 degrees C global warming target could be offset by the avoided adverse impacts of heat stress on worker productivity at higher warming levels.
When there is only one patient: Induction of labour for termination of pregnancy

Induction of labour when no live birth is anticipated presents a number of unique considerations for members of the healthcare team. The main indication for Induction of Labour for Termination of Pregnancy (iTOP) is intrauterine fetal death (IUFD) beyond a gestational age where surgical management is available, but may also be indicated in the setting of induction abortion (with or without feticide), and termination of pregnancy (with or without infant palliation) for pregnancies where a lethal fetal anomaly is diagnosed. In tertiary care centres, iTOP may represent a significant proportion of labouring patients. Despite this, there are few guidelines dedicated specifically to iTOP in either obstetrical or family planning specialties. In this article, we will consider four main themes from an evidence-informed perspective: method selection; pre-induction preparation; clinical considerations during and after iTOP; and complications management.
Influence of nano and bulk copper on agile frog development

Nanotechnology, as one of the fastest-growing industries, offers many benefits in various fields. However, properties that contribute to its positive effects, in other context, can cause adverse effects to various organisms, such as amphibians. Identifying possible negative effects on its survival is crucial since amphibians are the most threatened group of vertebrates. In that context, we investigated the influence of both nano and bulk copper on embryonic development of agile frog, Rana dalmatina. The embryos were exposed to various concentrations (0.01 mg/L, 0.075 mg/L, 0.15 mg/L or 0.3 mg/L) of either nano (CuO, declared size 40-80 nm) or bulk form (CuSO4·5H2O) for 16 days. Upon the experiment, tadpoles were measured and weighted, then homogenized and their protein, lipid, and carbohydrates content determined, as well as the activity of LDH. Our results suggest stronger negative influence of nano copper to size and weight of tadpoles, and bulk copper on lipid content, while both had strong negative effect on carbohydrates content, and LDH activity. In addition, our results suggest agile frog to be more susceptible to negative influence of both, nano and bulk copper, than commonly used Xenopus laevis.
Influence of FDI quality on energy efficiency in China based on seemingly unrelated regression method

How to use foreign direct investment (FDI) to achieve sustainable development of resources, environment and economy in China has become an increasingly important proposition. Previous studies mainly focused on the relationship between FDI quantity and energy efficiency, and neglected the important role of FDI quality in improving energy efficiency. Based on the panel data on 30 provinces in China from 2003 to 2016, this paper uses slacks-based measure data envelopment analysis (SBM-DEA) method to estimate energy efficiency, and then uses seemingly unrelated regression (SUR) method to empirically study the influence of FDI quality on energy efficiency. The results are presented as follows: (1) From the national level view, FDI quality plays a significant role in promoting China's energy efficiency; (2) From the regional-level view, FDI quality plays a significant role in promoting China's energy efficiency in coastal and inland areas, but its role in the inland area is significantly greater than that in the coastal area. The results indicate that China should make full use of the opportunity of global economic integration and pay more attention to the improvement of FDI quality, so as to promote energy efficiency and low-carbon economic development. (C) 2019 Elsevier Ltd. All rights reserved.
Spatial pattern and driving factors for interprovincial natural gas consumption in China: Based on SNA and LMDI

In China's energy transformation strategy, natural gas is the "bridge fuel" to cleaner production. This paper innovatively uses the classic method in sociology, social network analysis (SNA), and reveals the network characteristics and spatial pattern of interprovincial natural gas consumption in China. Zhejiang is the center of China's interprovincial natural gas consumption network, and the network can be clustered into four blocks: net spillover block, net beneficial block, brokers block, bidirectional spillover block. In addition, LMDI (logarithmic mean Divisia index) quantified the driving factors of China's natural gas consumption in each province. Overall, economic effect and fossil energy structure effect are the major driving factors of natural gas consumption, the energy intensity effect is one of the major restraining factors of natural gas consumption. Matching the driving factors of each province with the block model, and in more detail, economic effect is the major driving factor of natural gas consumption in the net spillover block, followed by spatial expansion effect. In the bidirectional spillover block, the fossil energy structural effect is the major driving factor of the natural gas consumption. Accordingly, we put forward the general measures and specific measures to protect the natural gas consumption. (C) 2020 Elsevier Ltd. All rights reserved.
Novel Machine Learning Approaches for Modelling the Gully Erosion Susceptibility

The extreme form of land degradation caused by the formation of gullies is a major challenge for the sustainability of land resources. This problem is more vulnerable in the arid and semi-arid environment and associated damage to agriculture and allied economic activities. Appropriate modeling of such erosion is therefore needed with optimum accuracy for estimating vulnerable regions and taking appropriate initiatives. The Golestan Dam has faced an acute problem of gully erosion over the last decade and has adversely affected society. Here, the artificial neural network (ANN), general linear model (GLM), maximum entropy (MaxEnt), and support vector machine (SVM) machine learning algorithm with 90/10, 80/20, 70/30, 60/40, and 50/50 random partitioning of training and validation samples was selected purposively for estimating the gully erosion susceptibility. The main objective of this work was to predict the susceptible zone with the maximum possible accuracy. For this purpose, random partitioning approaches were implemented. For this purpose, 20 gully erosion conditioning factors were considered for predicting the susceptible areas by considering the multi-collinearity test. The variance inflation factor (VIF) and tolerance (TOL) limit were considered for multi-collinearity assessment for reducing the error of the models and increase the efficiency of the outcome. The ANN with 50/50 random partitioning of the sample is the most optimal model in this analysis. The area under curve (AUC) values of receiver operating characteristics (ROC) in ANN (50/50) for the training and validation data are 0.918 and 0.868, respectively. The importance of the causative factors was estimated with the help of the Jackknife test, which reveals that the most important factor is the topography position index (TPI). Apart from this, the prioritization of all predicted models was estimated taking into account the training and validation data set, which should help future researchers to select models from this perspective. This type of outcome should help planners and local stakeholders to implement appropriate land and water conservation measures.
Scientists' warning to humanity on the freshwater biodiversity crisis

Freshwater ecosystems provide irreplaceable services for both nature and society. The quality and quantity of freshwater affect biogeochemical processes and ecological dynamics that determine biodiversity, ecosystem productivity, and human health and welfare at local, regional and global scales. Freshwater ecosystems and their associated riparian habitats are amongst the most biologically diverse on Earth, and have inestimable economic, health, cultural, scientific and educational values. Yet human impacts to lakes, rivers, streams, wetlands and groundwater are dramatically reducing biodiversity and robbing critical natural resources and services from current and future generations. Freshwater biodiversity is declining rapidly on every continent and in every major river basin on Earth, and this degradation is occurring more rapidly than in terrestrial ecosystems. Currently, about one third of all global freshwater discharges pass through human agricultural, industrial or urban infrastructure. About one fifth of the Earth's arable land is now already equipped for irrigation, including all the most productive lands, and this proportion is projected to surpass one third by midcentury to feed the rapidly expanding populations of humans and commensal species, especially poultry and ruminant livestock. Less than one fifth of the world's preindustrial freshwater wetlands remain, and this proportion is projected to decline to under one tenth by midcentury, with imminent threats from water transfer megaprojects in Brazil and India, and coastal wetland drainage megaprojects in China. The Living Planet Index for freshwater vertebrate populations has declined to just one third that of 1970, and is projected to sink below one fifth by midcentury. A linear model of global economic expansion yields the chilling prediction that human utilization of critical freshwater resources will approach one half of the Earth's total capacity by midcentury. Although the magnitude and growth of the human freshwater footprint are greater than is generally understood by policy makers, the news media, or the general public, slowing and reversing dramatic losses of freshwater species and ecosystems is still possible. We recommend a set of urgent policy actions that promote clean water, conserve watershed services, and restore freshwater ecosystems and their vital services. Effective management of freshwater resources and ecosystems must be ranked amongst humanity's highest priorities.
Upper Cervical Compression Myelopathy Caused by the Retro-Odontoid Pseudotumor With Degenerative Osteoarthritis and Calcium Pyrophosphate Dihydrate Disease: A Case Report and Literature Review

The retro-odontoid pseudotumor is often concurrent with atlantoaxial subluxation (AAS). Therefore, the pseudotumor is relatively common in rheumatoid arthritis (RA) but rare in primary osteoarthritis (OA). This is a case report of an elderly male patient suffering from neck pain and compression myelopathy caused by the craniocervical pseudotumor with OA but without atlantoaxial instability. He had long-lasting peripheral and spinal pain treated by nonsteroidal anti-inflammatory drugs. Imaging found upper cervical spondylosis without AAS or dynamic instability but with periodontoid calcifications and ossifications, suggesting calcium pyrophosphate dihydrate (CPPD) crystal deposition. Based on a comprehensive literature search and review, CPPD disease around the atlantodental joint is a possible contributor to secondary OA development and retro-odontoid pannus formation through chronic inflammation, which can be enough severe to induce compression myelopathy in non-RA patients without AAS. The global increase in the aged population advises caution regarding more prevalent upper cervical spine disorders associated with OA and CPPD.