ahmedabdelwahed/Medical_papers_title_and_abstract_NLP_dataset huggingface dataset:
EU bioenergy development to 2050

Bioenergy is the EU's leading renewable energy source at present. Understanding bioenergy's contribution to the future EU energy mix is strategically relevant for mid to long term climate targets. This review consolidates recent projections of both supply and demand dynamics for EU bioenergy to 2050, drawing from resource-focused, demand-driven and integrated assessment approaches. Projections are synthesised to identify absolute ranges, determine cohesion with policy and draw insights on the implications for the scale of development, trade and energy security. Supply side studies have undergone methodological harmonisation efforts in recent years. Despite this, due to assumptions on key uncertainties such as feedstock yields, technical potential estimates range from 9 to 25 EJyr-1 of EU domestically available biomass for energy in 2050. Demand side projections range between 5 and 19 EJyr-1 by 2050. This range is primarily due to variations in study assumptions on key influential developments such as economic competitivity of bioenergy, EU energy efficiency gains within the power sector, flexibility for meeting mitigation targets and technological portfolios. Upper bound technical supply estimates are able meet future demand wholly from the domestic resource base, holding the potential to reduce total EU primary energy import dependency 22% points from the current EU roadmap trajectory. However, due to part of this domestic resource base being deemed economically inaccessible or of insufficient quality, interregional imports are projected to increase from current 4% to 13-76%. Emergence of non-energy applications are projected to compete for at least 10% of the biomass needed to fulfil bioenergy demand in 2050.
Distinct mutations and lineages of SARS-CoV-2 virus in the early phase of COVID-19 pandemic and subsequent 1-year global expansion

A novel coronavirus, SARS-CoV-2, has caused over 274 million cases and over 5.3 million deaths worldwide since it occurred in December 2019 in Wuhan, China. Here we conceptualized the temporospatial evolutionary and expansion dynamics of SARS-CoV-2 by taking a series of the cross-sectional view of viral genomes from early outbreak in January 2020 in Wuhan to the early phase of global ignition in early April, and finally to the subsequent global expansion by late December 2020. Based on the phylogenetic analysis of the early patients in Wuhan, Wuhan/WH04/2020 is supposed to be a more appropriate reference genome of SARS-CoV-2, instead of the first sequenced genome Wuhan-Hu-1. By scrutinizing the cases from the very early outbreak, we found a viral genotype from the Seafood Market in Wuhan featured with two concurrent mutations (i.e., M type) had become the overwhelmingly dominant genotype (95.3%) of the pandemic 1 year later. By analyzing 4013 SARS-CoV-2 genomes from different continents by early April, we were able to interrogate the viral genomic composition dynamics of the initial phase of global ignition over a time span of 14 weeks. Eleven major viral genotypes with unique geographic distributions were also identified. WE1 type, a descendant of M and predominantly witnessed in western Europe, consisted of half of all the cases (50.2%) at the time. The mutations of major genotypes at the same hierarchical level were mutually exclusive, which implies that various genotypes bearing the specific mutations were propagated during human-to-human transmission, not by accumulating hot-spot mutations during the replication of individual viral genomes. As the pandemic was unfolding, we also used the same approach to analyze 261 323 SARS-CoV-2 genomes from the world since the outbreak in Wuhan (i.e., including all the publicly available viral genomes) to recapitulate our findings over 1-year time span. By December 25, 2020, 95.3% of global cases were M type and 93.0% of M-type cases were WE1. In fact, at present all the five variants of concern (VOC) are the descendants of WE1 type. This study demonstrates that viral genotypes can be utilized as molecular barcodes in combination with epidemiologic data to monitor the spreading routes of the pandemic and evaluate the effectiveness of control measures. Moreover, the dynamics of viral mutational spectrum in the study may help the early identification of new strains in patients to reduce further spread of infection, guide the development of molecular diagnosis and vaccines against COVID-19, and help assess their accuracy and efficacy in real world at real time.
Prehospital Noninvasive Ventilation: An NAEMSP Position Statement and Resource Document

Noninvasive ventilation (NIV), including bilevel positive airway pressure and continuous positive airway pressure, is a safe and important therapeutic option in the management of prehospital respiratory distress. NAEMSP recommends:NIV should be used in the management of prehospital patients with respiratory failure, such as those with chronic obstructive pulmonary disease, asthma, and pulmonary edema.NIV is a safe intervention for use by Emergency Medical Technicians.Medical directors must assure adequate training in NIV, including appropriate patient selection, NIV system operation, administration of adjunctive medications, and assessment of clinical response.Medical directors must implement quality assessment and improvement programs to assure optimal application of and outcomes from NIV.Novel NIV methods such as high-flow nasal cannula and helmet ventilation may have a role in prehospital care.
Antiparasitic Derivatives of the Furoquinoline Alkaloids Kokusaginine And Flindersiamine

We report the synthesis of 16 new compounds obtained from kokusaginine and flindersiamine, the main alkaloids isolated from the bark of Balfourodendron riedelianum. The activity of the compounds against axenic cultures of Trypanosoma cruzi epimastigtotes and trypomastigotes, as well as intracellular amastigotes, is described, together with their cytotoxic activity against three different human cell lines. The synthetic strategy for the preparation of the new compounds was based on the reactivity at the C4 position of the furoquinoline core towards nucleophiles. The new derivatives were synthesized by a Buchwald-Hartwig reaction, in most cases under green, solvent-free conditions. Compounds 1 c and 1 e displayed better in-vitro activity against trypomastigotes than benznidazole and nifurtimox (positive controls) with IC50 <4 μM. In addition, both compounds were not cytotoxic against the three human cell lines K562 (erytroleukimia), LM2 (breast cancer), and HaCat (keratinocyte). Interestingly, when evaluated against intracellular amastigotes, compound 1 c was able to significantly reduce the number of this parasite form, compared to the negative control.
Systems consolidation and fear memory generalisation as a potential target for trauma-related disorders

Fear memory generalisation is a central hallmark in the broad range of anxiety and trauma-related disorders. Recent findings suggest that fear generalisation is closely related to hippocampal dependency during retrieval. In this review, we describe the current understanding about memory generalisation and its potential influence in fear attenuation through pharmacological and behavioural interventions. In light of systems consolidation framework, we propose that keeping memory precision could be a key step to enhance therapeutic outcomes.
Efficiency of grey wolf optimization algorithm for damage detection of skeletal structures via expanded mode shapes

Vibration-based structural damage identification through optimization techniques has become an interesting research topic in recent years. Dynamic characteristics such as frequencies and mode shapes are used to construct the objective function. The objective functions based on only frequencies are not very sensitive to damage in large structures. However, objective functions based on both mode shapes and frequencies are very effective. In real measurement condition, the number of installed sensors is limited, and there are no economic reasons for measuring the mode shapes at all degrees of freedom. In this kind of circumstances, mode expansion methods are used to address the incompleteness of mode shapes. In this article, the system equivalent reduction and expansion process is applied to determine the unmeasured mode shapes. Two experimental examples including a cantilever beam and a truss tower are investigated to show system equivalent reduction and expansion process' efficiency in estimating unmeasured mode shapes. The results show that the technique used for expansion is influential. Damage identification is formulated as an optimization problem, and the residual force vector based on expanded mode shapes is considered as an objective function. In order to minimize the objective function, grey wolf optimization and Harris hawks optimization are used. Numerical studies on a 56-bar dome space truss and experimental validation on a steel frame are performed to demonstrate the efficiency of the developed approach. Both numerical and experimental results indicate that the combination of the grey wolf optimization and expanded mode shapes with system equivalent reduction and expansion process can provide a reliable approach for determining the severities and locations of damage of skeletal structures when it compares with those obtained by Harris hawks optimization.
The effect of China's pilot carbon emissions trading schemes on poverty alleviation: A quasi-natural experiment approach

As an important new tool for ecological poverty alleviation, carbon trading compensation is combining ecological protection with rural poverty alleviation. This paper evaluates the poverty alleviation impact of China's pilot carbon emissions trading schemes (ETS) at the provincial level before and after the program, which was implemented from 2007 to 2017. Specifically, we measure poverty alleviation in terms of rural residential income growth and rural job creation. By exploiting the quasi-experimental variation in whether provinces were affected by this pilot ETS policy, our analysis finds that the ETS policy resulted in increases in rural residential income and employment. We find the estimated effects correspond to an increase of approximately 752.6 yuan in annual rural residential income and 2.35% in the ratio of rural employed population to the total employed population, accounting for 9.5% of the rural residents' income and 7.11% of the rural employment, specifically. The results imply that the implementation of ETS is beneficial to income growth and job creation for rural areas of China, which mean the ETS policy may be conducive to poverty alleviation in affected provinces.
The Association Between Bullying Victimization and Fighting in School Among US High School Students

In-school fighting often results in severe punishment and compromised learning outcomes, without adequate consideration of contextual factors or student vulnerabilities. In this study, using a large, nationally representative data sample from the 2019 Youth Risk Behavior Survey (N = 13677), we assessed associations between a history of bullying victimization (at school and online) and past year fighting at school among U.S. high school students. Multiple regression models were used, adjusting first for demographics, and then for demographics and emotional-behavioral risks (depressive symptoms, alcohol consumption, and sexual violence victimization), for the total sample and then stratified by gender/sex. Both cyberbullying and in-school bullying were significantly associated with past year in-school fighting for the total sample, with associations retained, but marginally attenuated in fully adjusted models (cyberbullying: AOR: 1.30; 95% CI: 1.01-1.66 and in-school bullying: AOR: 1.96, 95% CI: 1.57-2.45). Gender/sex-stratified models demonstrated retained associations for males (cyberbullying: AOR: 1.93; 1.51-2.46 and in-school bullying: AOR: 2.70, 95% CI: 2.18-3.34) and females (cyberbullying: AOR: 1.89; 1.33-2.68 and in-school bullying: AOR: 1.66, 95% CI: 1.19-2.33) after adjusting for demographics, but only for males after adjusting for demographics and emotional-behavior risk factors (cyberbullying: AOR: 1.43; 95% CI: 1.07-1.93 and in-school bullying: AOR: 2.25; 95% CI: 1.73-2.92). These results demonstrate a significant association between bullying victimization and fighting, which was amplified for male students, and partially explained by social and emotional risks. This suggests that punitive approaches to fighting in school may be resulting in compounded harms for already vulnerable adolescents and that support-oriented approaches emphasizing conflict resolution, social-emotional well-being, positive gender identity development, and bullying prevention may be more appropriate.
Linear IGA bullous dermatosis potentially triggered by vaccination

Linear IgA bullous dermatosis (LABD) is a mucocutaneous autoimmune blistering disease affecting both adults and children. It is caused by IgA antibodies targeting multiple antigens along the basement membrane zone, leading to disruption of dermoepidermal junction and development of bullous lesions which often presents in characteristic arrangement. Although most LABD cases have been reported to be idiopathic, different triggers have been described, including several drugs and infection. However, the occurrence of vaccine-induced cases of LABD is not widely known and accepted due to the few reports available. We present two cases of LABD occurred following different triggers, rising the suspicion for a possible pathogenetic role of vaccines.
Impact of financial development on CO2 emissions: A comparative analysis of developing countries (D-8) and developed countries (G(8))

Financial development is one of the key drivers of rapid economic growth as well as CO2 emission in the environment. This study aims to investigate the casual links between financial development and CO2 emission in G8 and D8 countries for the time period from 1999 to 2013. We used PCA to develop financial development index from its five sub-components. Second-generation panel unit root tests are applied to check the stationary level and to tackle the presence of cross-sectional dependence in panels. The empirical results of PMG-panel ARDL technique show that financial development has significant and positive impact on carbon emission at a 1% statistical level in both panels in the long-run. The impact of financial development and energy consumption is more evident in D-8 and G(8) countries respectively. The energy use and trade openness affect positively while GDP significantly causes to decline the carbon emissions at 1% statistical level. The results of D-H causality test show that majority of the variables have one-way causality towards CO(2)emission in both panels except the financial development and energy use having two-way causality in G8 panel only. The empirical findings of the present study suggest that through improved financial system, more funds should be invested in clean energy projects to adopt the renewable energy, strict monetary policies should be implemented to reduce the consumption of big ticket items, and adoption of measure to reduce trade embodied emission is suggested.
Sustainable energy planning for cost minimization of autonomous hybrid microgrid using combined multi-objective optimization algorithm

With the development of scattered energy resources in the rural areas of Sarawak (Malaysia), various operational problems due to the unplanned installation of autonomous microgrids become gradually remarkable. To address this concern, the paper proposes an optimal strategy to evaluate the performance of different hybrid microgrid configurations for the Long San Village in Sarawak. A mathematical model is presented for sizing the component of the system to meet the maximum load demand under changing weather conditions and at the lowest possible cost. The developed approach simulates different microgrid models using deterministic and stochastic optimization methods to find the exact dynamic energy price of the selected optimal configuration in the context of system uncertainties. Furthermore, the operational feasibility of the system in terms of reliability and voltage security is studied in addition to economic feasibility with a comparative analysis of the environmental impact. The results show that the optimal configuration with the lowest cost of energy and net present cost can be achieved if the installed solar PV is less than 61 kW with 85 kW h of energy storage and 11 kW of hydro generation, where such system has 55,725 (kg/year) Carbon Dioxide and 330 (kg/year) Nitrogen Oxides. The findings also indicate that the dynamic energy pricing increases to 0.71 $/kWh when the power generation from renewable resources drops to zero. Further, the dynamic analysis shows that in order to reduce the voltage drop during disturbances, it is crucial to carefully install the sources in the buses connected to high energy demand.
Effects of urbanization on energy efficiency in China: New evidence from short run and long run efficiency models

Energy efficiency in China has been the cause for increasing concern for national and local sustainable development due to rapid economic development and large-scale energy consumption. Using panel data of 30 provinces between 1997 and 2016 in China, the measurement of energy efficiency is disentangled, and the effects of urbanization on different types of energy efficiency are explored. First, the measurement of energy efficiency is disentangled, with long-run and short-run efficiencies derived. Results of energy efficiency scores highlight the predominant status of long-run inefficiency is low and that disparate energy efficiency is present between provinces. Second, the effects of urbanization were found to be significantly negative on short-run, long-run and overall energy efficiency. Comparatively, the effect of urbanization on long-run efficiency was shown to have recently grown, implying an urgent call for energy conservation during rapid urbanization. Finally, this study outlines broader implications and suggests policies to improve energy efficiency. Here, application of energy conservation technology, industrial structure upgrading and efficiency information disclosure to urban residents are thought to be smart ways to improve energy efficiency.
Primary cutaneous CD8+ cytotoxic T-cell lymphoma of the face with intraoral involvement, resulting in facial nerve palsy after chemotherapy

The primary cutaneous (PC) CD8+ T-cell lymphoproliferative disorders (LPDs) comprise clinically and histopathologically heterogeneous entities including mycosis fungoides, lymphomatoid papulosis, hydroa-vacciniforme-like LPD, subcutaneous panniculitis-like T-cell lymphoma (TCL), PC acral CD8+ TCL, PC CD8+ aggressive epidermotropic cytotoxic TCL, and PC peripheral TCL, not otherwise specified (PTCL-NOS). We describe a 33-year-old man who presented with progressive facial swelling and lower lip involvement 1 year ago. Microscopy revealed an atypical small to medium-sized lymphoid proliferation exhibiting perivascular accentuation, adnexotropism, and apoptotic cell debris, without surface epithelium involvement. The tumor cells were positive for CD3, CD8, granzyme B, perforin, MUM1/IRF4, and TCR-BF1. The Ki-67 labeling index was 48%. EBER1/2 was negative. Additional studies confirmed localized disease. The diagnosis favored PC-PTCL-NOS. Two months after completing chemotherapy, right-sided facial nerve palsy was diagnosed. CD8+ T-cell LPDs should be considered in the differential diagnosis when assessing facial swelling with intraoral involvement.
Earth observation-based ecosystem services indicators for national and subnational reporting of the sustainable development goals

Decision-making that impacts sustainability occurs at national and subnational levels, highlighting the need for multi-scale Earth observations (EO) and geospatial data for assessing the United Nations' Sustainable Development Goals (SDGs). EnviroAtlas, developed by the United States Environmental Protection Agency and partners, provides a collection of web-based, interactive maps of environmental and socio-economic data relevant to the SDGs. EnviroAtlas maps ecosystem services indicators at national, regional, and local extents that can contribute to targets set forth in numerous goals, such as SDG 6 for clean water, SDG 11 for sustainable cities and communities, and SDG 15 for life on land. Examples of EnviroAtlas indicators that provide a way to view spatial inequalities, help fill gaps in environmental indicators, and integrate socio-economic and environmental data for the SDGs are explored herein. Remotely sensed EO data are essential for producing these indicators and informing planning and decision-making for the SDGs at subnational scales. The National Land Cover Dataset is the basis for many EnviroAtlas maps at the national extent, while National Agriculture Imagery Program and Light Detection and Ranging (LiDAR) data are used to classify Meter-scale Urban Land Cover in select US metro areas. These 30 m and 1 m land cover products are combined with demographic and other geospatial data (remotely sensed and otherwise) to produce integrated indicators that can aid in target setting of the SDGs. Though EnviroAtlas was created for the conterminous US, the methods for indicator creation are transferable, and the open-source code for the EnviroAtlas resource may serve as an example for other nations. Achieving the SDGs means assessing targets and decision-making outcomes at local, regional, and national levels using consistent and accurate data. Geospatial resources like EnviroAtlas that provide open access to indicators based on EO data and allow for assessment at multiple extents and resolutions are critical to broadly addressing national to subnational SDG goals and targets.
Anaesthesia for mechanical thrombectomy: a narrative review

Stroke is a leading cause of death and disability, and is associated with a huge societal and economic burden. Interventions for the immediate treatment of ischaemic stroke due to large vessel occlusion are dependent on recanalisation of the occluded vessel. Trials have provided evidence supporting the efficacy of mechanical thrombectomy in ischaemic stroke due to large vessel occlusion. This has resulted in changes in management and organisation of stroke care worldwide. Major determinants of effectiveness of thrombectomy include: time between stroke onset and reperfusion; location of occlusion and local collateral perfusion; adequacy of reperfusion; patient age; and stroke severity. The role of anaesthetic technique on outcome remains controversial with published research showing conflicting results. As a result, choice of conscious sedation or general anaesthesia for mechanical thrombectomy is often dependent on individual operator choice or institutional preference. More recent randomised controlled trials have suggested that protocol-driven general anaesthesia is no worse than conscious sedation and may even be associated with better outcomes. These and other studies have highlighted the importance of optimal blood pressure management as a major determinant of patient outcome. Anaesthetic management should be tailored to the individual patient and circumstances. Acute ischaemic stroke is a neurological emergency; clinicians should focus on minimising door-to-groin puncture time and the provision of high-quality periprocedural care with a particular emphasis on the maintenance of an adequate blood pressure.