ahmedabdelwahed/Medical_papers_title_and_abstract_NLP_dataset huggingface dataset:
Comparing the temporal dynamics and efficacy of task-relevant and task-irrelevant memory-driven attention

People's attention is well attracted to a stimulus matching their memory. For example, when people are required to remember the color of a visual object, stimuli matching the memory color powerfully capture attention. Remarkably, stimuli with the shape of the memory object, that is, irrelevant-matching stimuli were also found to capture attention. Here, we examined how task relevance affects the temporal dynamics and the strength of memory-driven attention. In the experiment, participants performed a visual search task while maintaining the color or shape of a colored shape. When participants were required to memorize the color of the memory sample, the shape of the sample stimulus is task-irrelevant feature and vice versa. Importantly, while a search item matching working memory in the task-relevant dimension was presented for one group of participants, an irrelevant-matching search item appeared for the other group of participants. Further, we varied stimulus onset asynchrony (SOA) between the memory sample and search items. We found that relevant-matching stimuli captured attention regardless of whether the SOA was short or long. However, attentional capture by irrelevant-matching stimuli depended on the SOA; no memory-driven capture was observed at the shortest SOA, but significant capture was found at longer SOAs. Further, the capture effects by relevant-matching stimuli were greater than that of irrelevant-matching stimuli. These findings suggest both task-relevant and -irrelevant features in working memory affect the attentional selection in visual search task, but its temporal dynamics and strength are modulated by the task-relevance.
Techno-Economic Assessment Guidelines for CO2 Utilization

Carbon Capture and Utilization (CCU) is an emerging technology field that can replace fossil carbon value chains, and that has a significant potential to achieve emissions mitigation or even "negative emissions"-however in many cases with challenging technology feasibility and economic viability. Further challenges arise in the decision making for CCU technology research, development, and deployment, in particular when allocating funding or time resources. No generally accepted techno-economic assessment (TEA) standard has evolved, and assessment studies often result in "apples vs. oranges" comparisons, a lack of transparency and a lack of comparability to other studies. A detailed guideline for systematic techno-economic (TEA) and life cycle assessment (LCA) for CCU technologies was developed; this paper shows a summarized version of the TEA guideline, which includes distinct and prioritized (shall and should) rules and which allows conducting TEA in parallel to LCA. The TEA guideline was developed in a co-operative and creative approach with roughly 50 international experts and is based on a systematic literature review as well as on existing best practices from TEA and LCA from the areas of industry, academia, and policy. To the best of our knowledge, this guideline is the first TEA framework with a focus on CCU technologies and the first that is designed to be conducted in parallel to LCA due to aligned vocabulary and assessment steps, systematically including technology maturity. Therefore, this work extends current literature, improving the design, implementation, and reporting approaches of TEA studies for CCU technologies. Overall, the application of this TEA guideline aims at improved comparability of TEA studies, leading to improved decision making and more efficient allocation of funds and time resources for the research, development, and deployment of CCU technologies.
Berberine regulates mesangial cell proliferation and cell cycle to attenuate diabetic nephropathy through the PI3K/Akt/AS160/GLUT1 signalling pathway

High glucose (HG) is one of the basic factors of diabetic nephropathy (DN), which leads to high morbidity and disability. During DN, the expression of glomerular glucose transporter 1 (GLUT1) increases, but the relationship between HG and GLUT1 is unclear. Glomerular mesangial cells (GMCs) have multiple roles in HG-induced DN. Here, we report prominent glomerular dysfunction, especially GMC abnormalities, in DN mice, which is closely related to GLUT1 alteration. In vivo studies have shown that BBR can alleviate pathological changes and abnormal renal function indicators of DN mice. In vitro, BBR (30, 60 and 90 μmol/L) not only increased the proportion of G1 phase cells but also reduced the proportion of S phase cells under HG conditions at different times. BBR (60 μmol/L) significantly reduced the expression of PI3K-p85, p-Akt, p-AS160, membrane-bound GLUT1 and cyclin D1, but had almost no effect on total protein. Furthermore, BBR significantly declined the glucose uptake and retarded cyclin D1-mediated GMC cell cycle arrest in the G1 phase. This study demonstrated that BBR can inhibit the development of DN, which may be due to BBR inhibiting the PI3K/Akt/AS160/GLUT1 signalling pathway to regulate HG-induced abnormal GMC proliferation and the cell cycle, supporting BBR as a potential therapeutic drug for DN.
Carbon ion radiotherapy with complete tumor regression for primary malignant melanoma of female urethra orifice: a case report

Primary malignant melanoma of the female urethra (PMMFU) is extremely rare, accounting for 0.2% of all melanomas, and fewer than 200 cases have been reported worldwide. Because of the small number of clinical cases and unclear biological characteristics, there is no uniform and standard treatment protocol. We herein describe the treatment of PMMFU using carbon ion radiotherapy. The radiotherapy was delivered at 60.8 Gy (RBE) in 16 fractions, once daily, five times per week. The patient achieved complete tumor disappearance within 1 year after carbon ion radiotherapy and remained disease-free thereafter. She developed acute grade 1 radiation dermatitis and urethritis, which resolved quickly; no other toxic effects were observed. At the time of this writing, her survival duration was 33 months. This case demonstrates that carbon ion radiotherapy may be a good option for primary genitourinary mucosal malignancies.
Primulinascutellifolia, a new species of Gesneriaceae from southern Vietnam

Primulinascutellifolia is described as a new species from Khanh Hoa Province, southern Central Vietnam. It is distinct in the genus in having scutellate leaves that make it a highly potential ornamental plant. The new species looks like P.annamensis in general shapes, sizes and colours of habit, inflorescence, flower, and leaf but is distinguishable by adaxially glabrous and abaxially strigose leaves with serrate margins, scutellate leaf blade and appressed downwards tomentose petiole, sparsely glandular hairs on apical 1/2 of the gynoecium and trapeziform one-lipped stigma with slightly emarginated apex.
A lightweight automatic sleep staging method for children using single-channel EEG based on edge artificial intelligence

With the development of telemedicine and edge computing, edge artificial intelligence (AI) will become a new development trend for smart medicine. On the other hand, nearly one-third of children suffer from sleep disorders. However, all existing sleep staging methods are for adults. Therefore, we adapted edge AI to develop a lightweight automatic sleep staging method for children using single-channel EEG. The trained sleep staging model will be deployed to edge smart devices so that the sleep staging can be implemented on edge devices which will greatly save network resources and improving the performance and privacy of sleep staging application. Then the results and hypnogram will be uploaded to the cloud server for further analysis by the physicians to get sleep disease diagnosis reports and treatment opinions. We utilized 1D convolutional neural networks (1D-CNN) and long short term memory (LSTM) to build our sleep staging model, named CSleepNet. We tested the model on our childrens sleep (CS) dataset and sleep-EDFX dataset. For the CS dataset, we experimented with F4-M1 channel EEG using four different loss functions, and the logcosh performed best with overall accuracy of 83.06% and F1-score of 76.50%. We used Fpz-Cz and Pz-Oz channel EEG to train our model in Sleep-EDFX dataset, and achieved an accuracy of 86.41% without manual feature extraction. The experimental results show that our method has great potential. It not only plays an important role in sleep-related research, but also can be widely used in the classification of other time sequences physiological signals.
Ulnar variance in distal radial fractures: assessment and interpretation

We explored patterns of shortening of the distal radius and investigated the effect of displacement on 'ulnar variance' in 250 patients with distal radial fractures. A small number of patients (5%) had a fracture that resulted in true shortening. Thirty-two per cent had fractures that appeared short, but lateral radiographs revealed that the articular surface was tilted, with either the anterior or dorsal rim of the articular surface being proximal to the distal ulna but the other rim was distal to it. We recommend initial assessment of variance on lateral radiographs. If the anterior and dorsal rims of the distal radial articular surface are proximal to the distal ulna, then true shortening is present and lengthening and stabilization, to hold the radius distracted, should be considered. If only one rim is proximal to the distal ulna, then correction of the tilt will lessen the apparent positive variance.Level of evidence: IV.
Performance analysis of typical linear augmented observers for a class of MIMO systems with nonlinear uncertainty

To estimate the states and the uncertainties for multi-input-multi-output (MIMO) systems is significant in control engineering. The paper investigates the estimating performance of a widely-used linear augmented observer (LAO) by quantitatively analyzing the biased term of estimation error, which generalizes the previous studies. Then the necessary and sufficient condition for unbiased estimation of LAO is thoroughly discussed. More importantly, by investigating the observability of MIMO uncertain systems, the paper proves that the estimation of LAO is unbiased if and only if the states and the uncertainties of MIMO uncertain systems are observable. The presented theoretical analysis can help practitioners evaluate the feasibility of estimating the specific uncertainties via LAO in practical systems. Finally, even if the estimation of LAO is biased, the design procedure of extended state observer is presented, which offers the unbiased estimation of total disturbance and the derivatives of output.
1000 h Operational Lifetime Perovskite Solar Cells by Ambient Melting Encapsulation

Improving device lifetime is one of the critical challenges for the practical use of metal halide perovskite solar cells (PSCs), wherein a reliable encapsulation is indispensable. Herein, based on an in-depth understanding of the degradation mechanism for the PSCs, a solvent-free and low-temperature melting encapsulation technique, by employing low-cost paraffin as the encapsulant that is compatible with perovskite absorbers, is demonstrated. The encapsulation strategy enables the full encapsulating operations to be undertaken under an ambient environment. It is found that the strategy not only removes residual oxygen and moisture to prevent the perovskite from phase segregation, but also suppresses the species volatilization to impede absorber decomposition, enabling a PSC devices with good thermal and moisture stability. As a result, the as-encapsulated PSCs achieve a 1000 h operational lifetime for the encapsulated device at continuous maximum power point output under an ambient environment. This work paves the way for scalable and robust encapsulation strategy feasible to hybrid perovskite optoelectronics in an economic manner.
Incidence and Epidemiology of Thoracolumbar Spine Fractures: WFNS Spine Committee Recommendations

This review aims to search the epidemiology and incidence rates of thoracolumbar spine fractures. A systematic review of the literature of the last 10 years gave 586 results with "incidence," and 387 results with "epidemiology," of which 39 papers were analyzed. The review results were discussed and voted in 2 consensus meetings of the WFNS (World Federation of Neurosurgical Societies) Spine Committee. Out of 39 studies, 15 studies have focused on thoracolumbar trauma, remaining 24 studies have looked at all spine trauma. Most were retrospective in nature; few were prospective and multicenter. Some studies have focused on specific injuries. The annual incidence of TL fractures is about 30/100,000 inhabitants including osteoporotic fractures. There is a trend to increase the fractures in elderly population especially in developed countries, while an increase of motor vehicle accidents in developing countries. The mortality rate among male elderly patients is relatively high. The incidence of thoracolumbar spine fractures is increasing because of low-velocity falls in the elderly population. The main reasons are falls and traffic accidents. Learning the regional differences and some special forms of trauma such as extreme sports, war, and gunshot injuries will help the prevention of the thoracolumbar spine fractures.
Feasibility study of on/off grid large-scale PV/WT/WEC hybrid energy system in coastal cities: A case-based research

In this study, according to the potential of available renewable resources in coastal areas, a hybrid system is proposed. The generalizability of the results of this study to other areas with different economic conditions and potential of energy resources is estimated through sensitivity analysis. Besides, the effect of the wave energy converter on the hybrid system is evaluated as a novel approach in sustainable power generation. Furthermore, it is attempted to measure the optimal distance from the power grid for economic development of stand-alone systems. The results demonstrate that the grid-connected system with 0.093-0.139 $/kWh cost of energy is more cost-effective compared to off-grid system with 0.136-0.182 $/kWh for large-scale demand. Employing wave energy converter not only leads to a more uniform power generation profile, but also reduces the need for batteries in hybrid energy system. However, using this device in areas with lower wave potential can significantly increase the expenses. Also the results reveal that the breakeven distance is reduced from about 300 km to less than 40 km by decreasing the demand from 20 MW to 1 MW. Moreover, it is concluded that rising the grid tariffs can be an effective policy to improve the renewables economic efficiency. (C) 2020 Elsevier Ltd. All rights reserved.
Exploring carbon emissions and international inequality in a globalized world: A multiregional-multisectoral perspective

The phenomenon of economic convergence has been investigated from different perspectives, aiming to analyze whether economies move towards a common growth path or tend to diverge over time, and the consequences of this for economic cohesion. However, these consequences for the evolution of CO2 emissions in the study of global convergence of CO2 emissions, and the implications in terms of pollution, inequality, and income-dependence have received less attention in the literature of convergence. The increasing globalization of economies and the rising fragmentation of supply chains imply many countries involved in the production chains and, in consequence, a vision is needed of worldwide emissions associated with these processes. In this paper, we use the multisectoral and multiregional perspective provided by a multiregional input-output model (MRIO), and the associated databases, to analyze the evolution of inequality in CO2 emissions, paying attention to the roles played by regional specificities and/or productive structures. MRIO models and indicators presented, provide the basis to assess to what extent countries and/or sectors are walking towards a common path or, on the contrary, tend to be more unequal over time. Given the role that structure, final demands and international trade play in these models, we can offer a novel structural view of the convergence issue. Moreover, MRIO models also allow analyzing this question combining the perspectives of production and consumption, and their relationship through international trade. Moreover, our paper attempts to shed light on the discussion about the global and regional process of generation of emissions, paying special attention to cluster analysis and to the existence of common trends by groups of countries. Empirically, the information provided by the most recent edition of the World Input-Output Database (WIOD) and environmental accounts compatible with this database, is used. In our view, the results contribute new dimensions and insights to the issue of international inequality in terms of environmental pressures and opens new debates on the relocation of environmental damage, comparative advantage, and the environmental footprint.
[The wave train of COVID-19 infections]

The present work studies the epidemic curve of COVID-19 in Italy between September 2020 and mid-June 2021 in terms of poussées, that is successive waves. There is obviously only one pandemic, although the virus has spread in the form of several variants, but the daily incidence trend can also be read in terms of overlapping of events that are different from each other or, in any case, induced by various phenomena. It can be hypothesized that in this way a succession of various waves was generated, which are modelled here using appropriate adaptation curves used in the study of epidemic data. Each curve corresponds approximately to the situation that would have occurred if no element had intervened to prevent the decrease of infections after the relative peak, while their overlap is considered to describe the subsequent increases. This interpolation has no predictive purpose, being purely descriptive over the time window under consideration. The discrepancies between the superposition of the modelling curves and the real epidemic curve are therefore also highlighted, especially in the transition periods between the various poussées. Finally, the analysis carried out allows to match the trend of the epidemic in the period considered with, on one hand, the series of events and, on the other, with the containment measures adopted which may have determined the succession of increases and decreases in the incidence of infections.
Lithium-ion battery 2nd life used as a stationary energy storage system: Ageing and economic analysis in two real cases

Electric vehicles (EVs) are considered a viable alternative to internal combustion engine vehicles (ICEVs) and as a result of recent advances in battery technologies, sales are increasing year by year. However, recycling these batteries at the end of their useful life in the car can be a problem because they contain materials that can harm human health and the environment. Thus, car manufacturers consider that when those batteries have finished their first life in an EV, they still contain enough energy and capacity to be used in a stationary energy storage systems (SESSs), significantly contributing towards an increased sustainable transport sector in the future. This study focuses the analysis on the viability of a SESS installation, considering battery ageing from an economic perspective in two different real scenarios in Spain. This study simulates the electricity bill cost with and without SESS and calculates the annual savings accordingly. Following, the return on investment (ROI) of installing a SESS is calculated. Afterwards the lifetime of the batteries is calculated in order to compare it with the ROI and to decide if the installation of a SESS is advisable from an economic point of view. Major results indicate that any feasibility study of installing a SESS must be studied from an economic and battery ageing point of view. (C) 2020 Elsevier Ltd. All rights reserved.
A framework to overcome sustainable supply chain challenges through solution measures of industry 4.0 and circular economy: An automotive case

Adoption of sustainability has become extremely essential aspect over the last decade for the industries to sustain in the global market. However, the adoption of sustainability in supply chain is more concern for the manufacturing organisations. Constantly, changing market has insisted these organisations to revisit their supply chain activities in order to penetrate sustainability effectively through various practices such as lean, green, circular, and industry 4.0 etc. But, the lack of verified Sustainable Supply Chain Management (SSCM) frameworks has become a concern for the practitioners. Similarly, solutions required to overcome the SSCM adoption issues also need to be updated accordingly to changing business environments. So, the present study aims to develop a framework to overcome SSCM challenges through industry 4.0 and circular economy based solution measures. This study identifies a unique set of 28 SSCM challenges and 22 solution measures. Further, an automotive case organisation is used to test the applicability of the developed framework through hybrid Best Worst Method (BWM)- ELimination and Choice Expressing REality (ELECTRE) approach. The inputs for BWM-ELECTRE approach is obtained by constructing an expert panel within the case organisation. Initial inputs are taken for BWM comparisons to compute the weight of SSCM challenges; whereas, further a comparison of challenges and solution measures is also obtained for ELECTRE approach to compute the final ranking of the solution measures to overcome SSCM challenges. The case findings reveal that managerial and organisational challenges and economic challenges emerge as most critical to SSCM adoption. The present study outcomes will be beneficial for researchers working in SSCM industry 4.0 and circular economy domain; whereas, the practitioners can use the prioritised solution measures to formulate effective strategies to overcome SSCM adoption failures. (C) 2020 Elsevier Ltd. All rights reserved.
Study of inorganic elements in different organs and tissues of Amazonian manatee (Trichechus inunguis) from Brazil

Multielement concentrations (P, S, Cl, K, Ca, Cr, Mn, Fe, Ni, Cu, Zn, Rb, and Rh) and total mercury (T-Hg) were analyzed in different organs and tissues of Amazonian manatee (Trichechus inunguis). Samples of 27 T. inunguis specimens, maintained in the collection of the Amazonian Center for the Research and Preservation of Aquatic Mammals, were used, situated in an area highly impacted by gold mining in the northern region of the Brazilian Amazon. Samples of aquatic plants used as food by the animals were also analyzed. The elements S, Cl, K, Cr, and Mn accumulated mainly in the musculature, while Fe and Cu were more concentrated in the liver. Trace elements, such as rubidium (Rb) and rhodium (Rh), not previously reported in the organs of animals of the family Trichechidae, were also identified. The averages for T-Hg in the skin, muscle, encephalon, liver, kidney, and lung samples were, respectively, 0.1540 ± 0.1332, 0.0593 ± 0.1044, 0.0517 ± 0.0467, 0.0486 ± 0.0543, 0.0237 ± 0.0336, and 0.0013 ± 0.0032 µg.g-1. The values obtained for the vibrissae samples were below the limit of quantification, which allows for the conclusion that this tissue cannot be used as a contamination marker. It was observed that even when kept in a conservation breeding site, these animals were exposed to non-essential trace elements. Differences in the accumulation of elements were observed between the different organs and tissues analyzed. The presence of contaminants in animals that live in a preservation center, even at low levels, deserves attention.