ahmedabdelwahed/Medical_papers_title_and_abstract_NLP_dataset huggingface dataset:
Psychometric and Logometric Properties of the Armenian Version of Augmentative and Alternative Communication Assessment Questionnaire: Assessing Reliability and Validity

The study describes the development of the AAC-Arm questionnaire and its initial psychometric and logometric testing for reliability and validity. Psychometric and logometric principles were used to develop an assessment questionnaire capable of evaluating the communication state domains important to patients with neurological disorders. The hypothesized domains were to include (1) auditory function, (2) speech function (3) cognitive functions (4) sensorimotor function, and (5) activities of daily living (ADL). An initial pool of 78 questions was pilot-tested for clarity in 10 patients; following factor analysis, the number of questions was reduced to 39-items. Then the questionnaire was subjected to reliability and validity testing. Factor analysis supported the 5 hypothesized domains. Test-retest reliability using Spearman's correlation demonstrated substantial agreement, ranging from 0.72 for the ADL domain to 0.92 for the auditory function domain. In testing for internal consistency, Cronbach's alphas ranged from 0.86 for-the ADL domain to 0.96 for the cognitive function domain. Correlation between domains gave evidence of construct validity. In comparing similar domains in the AAC questionnaire, a moderate correlation (range 0.33-0.83) for the ADL and sensorimotor function scales were found. The correlation was more positive between the other domains. Testing of reliability for the phraseological, syntactic and semantic competence indices showed good positive correlation between initial and retest scores. The questions in the AAC questionnaire have undergone rigorous psychometric and logometric testing, and the tool is an appropriate instrument for the assessment of neurological patients with communication deficit. The psycholinguistic assessment provides with the main weight of data for successful communication therapy.
Experimental assessment of cycling ageing of lithium-ion second-life batteries from electric vehicles

The reutilization of batteries from electric vehicles allows to benefit from their remaining energy capacity and to increase their lifespan. The applications considered for the second life of these batteries are less demanding than electric vehicles regarding power and energy density. However, there is still some uncertainty regarding the technical and economic viability of these systems. In this context, the study of the ageing and lifetime of reused batteries is key to contribute to their development. This paper assesses the experimental cycle ageing of lithiumion modules from different Nissan Leaf through accelerated cycling tests on their second life. The evolution of the internal parameters during ageing and the correlation between them are shown, including the analysis of best fitting curves. In addition, a second-life end-of-life criterion is proposed, based on capacity and internal resistance measurements during cells ageing, which can be applied to real application in order to prevent safety issues. By estimating future values from degradation trends and checking latter measurements, the ageing knee is identified. Results show that the modules operate for at least 2033 equivalent full cycles before reaching their ageing knee. This would mean more than 5 years of operation in a real second-life application, such as a photovoltaic self-consumption installation with daily cycling. Moreover, it is shown that a traditional cell characterisation based on capacity and internal resistance measurements is not enough to predict the durability of a cell during its second life.
Extracting Nonlinear Dynamics from Psychological and Behavioral Time Series Through HAVOK Analysis

Analytical methods derived from nonlinear dynamical systems, complexity, and chaos theories offer researchers a framework for in-depth analysis of time series data. However, relatively few studies involving time series data obtained from psychological and behavioral research employ such methods. This paucity of application is due to a lack of general analysis frameworks for modeling time series data with strong nonlinear components. In this article, we describe the potential of Hankel alternative view of Koopman (HAVOK) analysis for solving this issue. HAVOK analysis is a unified framework for nonlinear dynamical systems analysis of time series data. By utilizing HAVOK analysis, researchers may model nonlinear time series data in a linear framework while simultaneously reconstructing attractor manifolds and obtaining a secondary time series representing the amount of nonlinear forcing occurring in a system at any given time. We begin by showing the mathematical underpinnings of HAVOK analysis and then show example applications of HAVOK analysis for modeling time series data derived from real psychological and behavioral studies.
Performance of the UASB reactor during wastewater treatment and the effect of the biogas bubbles on its hydrodynamics

A lab-scale Upflow Anaerobic Sludge Blanket (UASB) reactor was used as a model for evaluating synthetic and complex industrial wastewater treatment, using a solar heater to control temperature. Also, hydrodynamics was assessed using the Computational Fluid Dynamics (CFD) method. Initially, the UASB reactor was operated with synthetic wastewater at Hydraulic Retention Time (HRT) of 24 h in 20 ± 2 °C and 30 ± 2 °C to measure the biogas bubbles production for CFD study. COD removal efficiencies of 85 ± 3% and 95 ± 3%, respectively, with production of 27 and 39 ml CH4/h, correspondingly, were observed. After that, the reactor was fed with complex industrial wastewater. It was evaluated at 24 h in both temperatures. At 30 °C, low COD removal efficiency was observed, being 48 ± 13%, with methane production of 20 ± 3 ml CH4/h. The plug flow pattern was observed in the CFD modelling at HRT of 24 h and 20 °C without considering biogas bubbles interaction. Similar hydrodynamic behaviour was observed at HRT of 24 h and 30 °C. Nonetheless, when biogas bubbles were considered in the CFD modelling, hydrodynamics significantly changed, passing from a plug flow to a complete mix flow pattern.
Does the inflow of remittances and energy consumption increase CO(2)emissions in the era of globalization? A global perspective

In recent decades, remittances inflow has become a major source of capital which has multidimensional consequences on various economic indicators and potentially associated with CO(2)emissions. This study investigates the impact of remittances, energy use, and globalization on CO(2)emissions using a global sample of 97 countries during 1990-2016. Our findings based on robust system GMM indicate that remittances and energy use increases CO(2)emissions, however, globalization reduces CO(2)emissions. To capture the national difference, this study divides the global sample into two sub-samples: first comprised of developed countries and second developing and emerging countries. Interestingly our findings are similar in both sub-samples. Further, our results are robust to various robustness checks, which ensures the reliability of our findings. Based on our results, we suggest governments, regulators and other stakeholders to mitigate the adverse impact of remittances and energy use on environmental quality by strict market regulations and monitoring, allocating substantial financial resource to research and development for innovating environmental friendly production technologies and renewable energy sources and by giving incentives i.e tax rebates and subsidies on imports of environment-friendly production technology from the advanced countries. Lastly, considering the negative impact of globalization on CO(2)emissions, governments can use globalization as a tool to reduce CO(2)emissions and promote environmental quality.
Another outlook to sector-level energy consumption in Pakistan from dominant energy sources and correlation with economic growth

The present study seeks to investigate the sector-level energy consumption of oil and natural gas and to explore the linkage between economic growth, households, agriculture, industry, power, fertilizers, and commercial sector in Pakistan for the period of 1980-2016. The energy sector of Pakistan is facing severe crisis from the last few years due to inadequate production and supply. Long-lasting deficits of natural gas and oil, the two supreme types of fuel in Pakistan, had detrimental consequences for the growth as well as for the economic development. An autoregressive distributed lag (ARDL) method and Granger causality test under vector error correction model (VECM) were employed to check the association among the variables. Furthermore, the innovative accounting method was used to investigate the responsiveness of each variable to another within the study framework. Empirical results show long-run association among the variables, as oil consumption in the agriculture and power sector show a positive effect on Pakistan's economic growth. Similarly, energy consumption from natural gas in the households and fertilizers as well as in the industry sector has had a constructive association with economic growth. In contrast, energy consumption from oil in the households and industry sectors has adverse association with economic growth, while natural gas consumption in the commercial sector has negative linkage with economic growth. Possible steps should be taken by the Government of Pakistan to enhance the production of oil and natural gas from other alternatives to meet the requirements of these sectors.
Multi-effect distillation plants for small-scale seawater desalination: thermodynamic and economic improvement

The growing global demand for fresh water coupled to the increasing interest in renewable energies and waste heat recovery has resulted in flourishing attention to the multi-effect distillation process for seawater desalination. The low operating temperature makes this technology attractive in the case of low temperature heat sources such as geothermal, solar or waste heat recovery. The low energy density of these heat sources requires small-scale desalination systems whose layout and operation may differ from large-scale plant. In this work, new plant configurations for a small-scale multi-effect distillation system are proposed and analyzed from a thermodynamic and economic point of view. Each configuration tends to better exploit the energy content of the various streams by improving heat recovery, according to an increasing layout complexity. These configurations were studied in two layouts, differing in the way seawater and brine fed the various effect. The feed mass flow in each effect was varied to maximize the recovery ratio by imposing the maximum salt concentration in the brine related to calcium sulphate precipitation. Numerical simulations were conducted in Aspen Plus environment by varying the top brine temperature with a fixed bottom brine temperature of 40 degrees C. The electrolyte non-random two liquid equation of state was adopted to evaluate saltwater properties and an inter-model comparison with a validated algebraic model was carried out. The configurations implementing seawater preheating increased the performance ratio up to 10% due to the better exploitation of the energy content of distillate streams. The proposed solutions with the maximization of the recovery ratio demonstrated to be cost-effective with respect to the base multi-effect distillation configuration when thermal energy cost became relevant. In the case of negligible thermal energy cost (waste heat recovery) the base configuration was the preferable solution in terms of water cost, despite the lower performance ratio.
Effect of palmitic, linoleic and α-linolenic acids on blood cells count and interleukin-4, 8 genes expression in lambs experimentally infected with foot and mouth disease virus

The current research was conducted to study the effects of different saturated and poly-unsaturated fatty acid sources in diets on immune responses of lambs experimentally infected with foot and mouth disease virus. A total of fifteen Sangsari male lambs with an average body weight of 48 ± 2 kg and an average age of 8 ± 1 months were randomly allocated to one of three experimental treatments: (1) PalOil group received a calcium soap of palm oil fatty acids in the diet as source of palmitic acid (16:0), (2) SunOil group received a calcium soap of sunflower oil fatty acids in the diet as source of linoleic acid (n-6 18:2), and (3) LinOil group received a calcium soap of linseed oil fatty acids in the diet as source of α-linolenic acid (n-3 18:3). The greatestand the least expression of IL-4 mRNA were measured in SunOil and LinOil groups, respectively. Expression of IL-8 mRNA was greater in SunOil treatment when compared with PalOil and LinOil groups. In conclusion, the results of the study confirmed that inclusion of α-linolenic acid in virally infected lambs'diet results in lower expression of IL-4 and IL-8 mRNA.
Factors driving oil price - from the perspective of United States

This paper chooses monthly data covering the period from 1990:M1 to 2018:M12 to investigate the contributions of partisan conflicts (PCI), the dollar index (USDX) and U.S. oil production (PRO) on the oil price (OP) by applying the time-varying parameter-stochastic volatility-vector autoregression (TVP-SV-VAR) model. The empirical results are consistent with the general equilibrium model, which states that the PCI has certain influences on the OP. However, the impact of the PCI is less than that of the USDX, and the negative effect of the USDX was strengthened after the global economic crisis. Moreover, the PRO is less important to the oil market than the PCI and USDX. In general, we can conclude that there are important roles that U.S. factors play in the oil market, especially those of partisan conflicts and the dollar value. Understanding the effects of U.S. factors on the oil market can provide revelations for countries, allowing them to formulate energy policies and stabilize the oil market. Additionally, an understanding of these factors can allow investors to adjust their investment decisions and diversify their assets. (C) 2020 Elsevier Ltd. All rights reserved.
A three-stage optimization methodology for envelope design of passive house considering energy demand, thermal comfort and cost

Due to reducing the reliance of buildings on fossil fuels, Passive House (PH) is receiving more and more attention. It is important that integrated optimization of passive performance by considering energy demand, cost and thermal comfort. This paper proposed a set three-stage multi-objective optimization method that combines redundancy analysis (RDA), Gradient Boosted Decision Trees (GBDT) and Non-dominated sorting genetic algorithm (NSGA-II) for PH design. The method has strong engineering applicability, by reducing the model complexity and improving efficiency. Among then, the GBDT algorithm was first applied to the passive performance optimization of buildings, which is used to build meta-models of building performance. Compared with the commonly used meta-model, the proposed models demonstrate superior robustness with the standard deviation at 0.048. The optimization results show that the energy-saving rate is about 88.2% and the improvement of thermal comfort is about 37.8% as compared to the base-case building. The economic analysis, the payback period were used to integrate initial investment and operating costs, the minimum payback period and uncomfortable level of Pareto frontier solution are 0.48 years and 13.1%, respectively. This study provides the architects rich and valuable information about the effects of the parameters on the different building performance. (C) 2019 Elsevier Ltd. All rights reserved.
Spread of SARS-CoV-2 through Latin America and the Caribbean region: A look from its economic conditions, climate and air pollution indicators

We have evaluated the spread of SARS-CoV-2 through Latin America and the Caribbean (LAC) region by means of a correlation between climate and air pollution indicators, namely, average temperature, minimum temperature, maximum temperature, rainfall, average relative humidity, wind speed, and air pollution indicators PM10, PM2.5, and NO2 with the COVID-19 daily new cases and deaths. The study focuses in the following LAC cities: Mexico City (Mexico), Santo Domingo (Dominican Republic), San Juan (Puerto Rico), Bogota (Colombia), Guayaquil (Ecuador), Manaus (Brazil), Lima (Pertu), Santiago (Chile), Sao Paulo (Brazil) and Buenos Aires (Argentina). The results show that average temperature, minimum temperature, and air quality were significantly associated with the spread of COVID-19 in LAC. Additionally, humidity, wind speed and rainfall showed a significant relationship with daily cases, total cases and mortality for various cities. Income inequality and poverty levels were also considered as a variable for qualitative analysis. Our findings suggest that and income inequality and poverty levels in the cities analyzed were related to the spread of COVID-19 positive and negative, respectively. These results might help decision-makers to design future strategies to tackle the spread of COVID-19 in LAC and around the world.
Sex Specific Effects of Prunella vulgaris on Longevity Regulation

The sudden outbreak of COVID-19 in over 200 countries globally, brought serious effects on our daily lives. Traditional Chinese Medicine (TCM) in combination with regional characteristics has achieved remarkable results in China. Prunella vulgaris is one of the ingredients of commercially available canned Chinese herbal tea which demonstrated lifespan extending effect on Drosophila in our previous study, whereas it is unknown which ingredients contribute to it. This study used Drosophila as the model to explore whether Prunella vulgaris is the component taking effect on Drosophila longevity. Results showed that Prunella vulgaris can extend the lifespan of female flies by 10.42%, and improve their endurance under heat stress by 18.46%.
Effect of 2400 MHz mobile phone radiation exposure on the behavior and hippocampus morphology in Swiss mouse model

Electromagnetic field exposure to the nervous system can cause neurological changes. The effects of extremely low-frequency electromagnetic fields, such as second-generation and third-generation radiation, have been studied in most studies. The current study aimed to explore fourth-generation cellular phone radiation on hippocampal morphology and behavior in mice. Swiss albino male mice (n = 30) were randomly categorized into 3 groups; control, 40 min, and 60 min exposure to 2400 MHz radiofrequency electromagnetic radiation (RF-EMR) daily for 60 days. The control mice were housed in the same environments but were not exposed to anything. Anxiety-like behaviors were tested using the elevated plus-maze. For histological and stereological examination, the brain was dissected from the cranial cavity. On Cresyl violet stained brain slices, the number of pyramidal neurons in the cornu ammonis of the hippocampus were counted. In exposed mice compared to control mice, a significant increase in anxiety-like behavior has been observed. Histological observations have shown many black and dark blue cytoplasmic cells with shrunken morphology degenerative alterations in the neuronal hippocampus in the radiation exposed mice. In the RF-EMR mouse hippocampus, stereological analyses revealed a significant decrease in pyramidal and granule neurons compared to controls. Our findings suggest that 2400-MHz RF-EMR cell phone radiation affects the structural integrity of the hippocampus, which would lead to behavioral changes such as anxiety. However, it alerts us to the possible long-term detrimental effects of exposure to RF-EMR.
Techno-economic and life cycle assessment of an integrated hydrothermal carbonization system for sewage sludge

The need of more effective solutions for sewage sludge management is twofold: i) to alleviate the overall operating costs for wastewater treatment and ii) to ensure proper utilization/disposal considering environmental legislation. A comprehensive solution integrating hydrothermal carbonization and anaerobic digestion to treat sewage sludge was analyzed and compared with that of standalone anaerobic digestion. In order to evaluate its performance, a process simulation model in Aspen Plus (R) served as the main data source of the required input-output inventories to perform both techno-economic and life cycle assessment, which follow conventional methodological standards. It was observed that the integrated strategy generally reduces the environmental impacts compared to the standalone configuration due to the recovery of a hydrochar that could replace fossil fuels. In contrast, the standalone option only recovers a digestate that can generate even a higher impact than its counterfactual alternative. The integration of hydrothermal treatments showed an increase of 14% in the gross energy efficiency of the anaerobic digestion. However, economic concerns make the approach to require further optimization, since the estimated cost for the HTC option were 42% higher in comparison to the conventional anaerobic digestion alternative. Although there is a changing regulatory framework around sewage sludge, especially on nutrient recovery, hydrothermal treatments have been proven as a potentially sustainable route for sewage sludge treatment. (C) 2020 Elsevier Ltd. All rights reserved.
Community Supported Agriculture, Human Capital, and Community Health

Community supported agriculture (CSA) strengthens the local food system (LFS) and plays a critical role in promoting human capital (HC) and addressing social determinants of health (SDH). Most CSAs develop relationships that build a sense of community, and engage in activities that facilitate access to food and economic opportunities. CSAs may also contribute to personal development, education and income, working experience, and knowledge. CSA principles align with the principles of HC, specifically the pursuit of economic development. While research on the connection between CSA and HC has broadly focused on the economic aspect, the human development dimension has remained at the conceptual level. The purpose of this study was to assess the potential HC contributions by CSA and the implications for health outcomes in central/northern New Mexico. Primary and secondary data were collected through a semi-structured, open-ended questionnaire and an internet search. Purposive sampling was used to select 13 CSAs. Eight (61.5%) responded and reported activities that address HC and SDH such as training, job creation, education, access to healthy food, food security, health education and disease management, social connections, and food justice. Given the potential impact, public health must contribute to CSA by generating evidence on its health and social benefits, training practitioners on supporting local food program, and promoting policy that stimulates the local economy, fosters social relations and food justice, and empowers community members. This study calls for research and practice to take a multilevel perspective on the contribution of LFSs to equity and wellbeing.