ahmedabdelwahed/Medical_papers_title_and_abstract_NLP_dataset huggingface dataset:
Positive and negative social contacts with immigrants from different groups: Investigating the role of group appraisal and opportunity for contact using network analysis

What can enhance positive inter-group contacts in a world of mass immigration is a subject high on the theoretical and practical agenda. However, there is a lack of research examining how contacts with different immigrant groups are related to characteristics of the group, as perceived by the receiving society. Using Threat-Benefit Theory (Tartakovsky & Walsh, 2016a, 2016b, 2019, 2020), the present study examines how different domains of positive and negative appraisal of a specific immigrant group may relate to contacts with group members. Using a representative sample of 1600 adults in the majority of the Jewish population in Israel, we applied network analysis to examine relationships between threat-benefit appraisal, opportunities for contact and levels of positive and negative contacts with four immigrant groups: diaspora immigrants from Ethiopia, Western countries and the former Soviet Union and asylum seekers. Levels of contact were related to particular domains of appraisal, which differed across immigrant groups. However, opportunities for contact had a stronger association with contact than the appraisal. Results point to a theoretical need to develop nuanced models related to inter-group contact, which consider particular characteristics of the immigrant group as perceived by the local population.
Overview of Sankey flow diagrams: Focusing on symptom trajectories in older adults with advanced cancer

This perspectives paper provides an overview of how to read and interpret a Sankey, examples using symptom data from older adults with advanced cancer, a synopsis of medical literature, and comments on creating and using the diagram for presentation of data. From prior reports and our own, we conclude Sankeys are an excellent tool for visualizing the changing status of older patients with cancer. Older adult symptom data is used as an example with data dispalyed in a range of Sankey flow diagrams. Because there is large heterogeneity in aging, different subgroups can be examined. In a single diagram, Sankey can show both the likelihood and variability of patients' future status from their current status.
Novel biosynthesis, characterization and bio-catalytic potential of green algae ( Spirogyra hyalina) mediated silver nanomaterials

In recent years green nanotechnology gained significant importance to synthesize nanoparticles due to their cost effectiveness and biosafety. In the current study, silver nanoparticles were synthesized by using extract of Spirogyra hyalina as a capping and reducing agent. The synthesized nanoparticles were characterized by UV-Visible spectroscopy, Fourier transform infrared spectroscopy, Scanning electron microscopy, energy dispersive X-ray spectroscopy, and X-ray diffractive analysis. Silver nanoparticles give a characteristic Surface Plasmon Resonance peak of 451 nm at 2.21 a.u (arbitrary unit). SEM micrograph revealed the spherical morphology and average grain size of 52.7 nm. Furthermore, antibacterial, antifungal, insecticidal, antioxidant and membrane damage activities were determined. The maximum antibacterial and antifungal activity was observed for Pseudomonas aeruginosa (18 ± 1.2 mm) and Fusarium solani (14.3 ± 0.6 mm), respectively. In membrane damage assay, Pseudomonas aeruginosa absorbed A260 wavelength and gave maximum peak values of 0.286, 0.434 and 0.629 at 25, 35 and 45 µg/mL of silver nanoparticles. The membrane damage assay confirmed that nanoparticles are involved in bacterial cell membrane damage. At 500 ppm silver nanoparticles showed 30% mortality against Tribolium castaneum (a common grain pest). The silver nanoparticles also showed potent antioxidant activity and successfully scavenged the DPPH free radicals upto 53.43 ± 0.17, 43.26 ± 0.97, 31.39 ± 0.33, 24.62 ± 0.85, and 14.13 ± 0.12% at a concentration of 400, 200, 100, 50, and 25 µg/mL of nanoparticles, respectively. It is concluded that silver nanoparticles can easily be synthesized by using green algae Spirogyra hyalina as a capping and reducing agent. Silver nanoparticles showed potent biomedical activities and thus can be used for therapeutic applications invitro and invivo.
Energy and economic analysis of a variable-geometry ejector in solar cooling systems for residential buildings

In the present, study two 1-D ejector mathematical models are used to predict the performance of a solar ejector cooling system with fixed and variable geometry ejectors. Thes models are implemented using MATLAB and EES Software. The effect of the mixing efficiencies on the performance of the system was investigated, and two empirical correlations were obtained using experimental data for an ejector cooling cycle with R141b as a refrigerant. The results obtained with varying efficiencies were found to be significantly more accurate than those obtained with previous models, which assumed a constant efficiency. The results showed that the ejector with fixed-geometry was very sensitive to the variations of the operational conditions and could practically be functional only under specific conditions. It was also found that the solar ejector cooling system with a variable area ejector has higher coefficient of performance under a vast range of operational conditions. The new system could be easily implemented in residential building air conditioning systems with solar energy as the driving source of heat. The refrigerant R134a was found to give the best performance considering operational, safety, and environmental factors. The economic analysis revealed that the new system is profoundly better than the conventional systems in terms of payback period and net present value.
SARS-CoV-2 might transmit through the skin while the skin barrier function could be the mediator

During the coronavirus disease 2019 (COVID-19) pandemic, it were reported that COVID-19 patients could have cutaneous symptoms, and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was observed on the skin of COVID-19 patients, which indicated that the skin is one target of SARS-CoV-2. Meanwhile, reports about SARS-CoV-2 transmission through food cold-chain overpacks emerged. With the fact that SARS-CoV-2 could survive on the skin for more than 9 h, the skin could be implicated in SARS CoV-2 transmission. Angiotensin-converting enzyme 2 (ACE2), a critical membrane protein for SARS-CoV-2 that enters a host cell, was recognized to be associated with the risk of SARS-CoV-2 infection. Therefore, tissues that express ACE2 might have the potential to be infected by and transmit SARS-CoV-2. The skin is one such tissue that expresses ACE2. However, unlike the lung that expresses ACE2 on the upper-most epithelial layer, the skin is composed of different layers of cells that function as a barrier, and cells under the top epidermal layer express ACE2. Since the skin barrier is the first line of protection, the typical position of ACE2-expressing cells in the skin implies that the skin barrier function could be the mediator of SARS-CoV-2. In our study, we found that ACE2 could be expressed in the skin, and its expression level is increased in psoriasis, an inflammatory disease of the skin with barrier dysfunction. Additionally, by applying the SARS-CoV-2 pseudovirus on mouse models with or without deteriorated skin barrier, we found that the SARS-CoV-2 pseudovirus could infect the skin and lungs of mouse models, and when the skin barrier was impaired, more SARS-CoV-2-infected cells could be found. Thus, we hypothesized that a deteriorated condition of the skin barrier might increase the risk of SARS-CoV-2 infection through the skin.
Refining biomass residues for sustainable energy and bio-products: An assessment of technology, its importance, and strategic applications in circular bio-economy

In the circular bio-economy, effective biomass valorization through the strategic use of resources is essential in terms of generating valuable products, sustainable development, and maximizing ecological and socio-economic benefits. Technologies are being developed and improved to optimize the use of abundant biomass and to generate several value-added products. Efficient nutrient recovery requires additional energy-intensive steps for effective valorization. Moreover, appropriate waste collection and pretreatment practices increase the degree of valorization. The use of biomass waste in biorefineries has significant potential to yield biofuels and organic fertilizers. Further research and development are required to develop effective biorefining technologies to enable the efficient exploitation of bioresources. Greater consideration should be applied to energy pathways to support this technology. Therefore, there is a demand for innovation in the integrated biorefining approach in response to changing markets, and novel commercial models should be introduced into the circular economy.
The impact of carbon trading on economic output and carbon emissions reduction in China's industrial sectors

Carbon trading is an important market tool in driving growth and carbon dioxide emissions reduction in industrial sectors in China. This paper attempts to assess the impacts of carbon trading on economic output and carbon dioxide emissions reduction in China's industrial sectors by employing the data envelopment analysis (DEA) based optimization models, based on three carbon trading schemes, i.e., no trading (NT), sectoral trading (ST), and sectoral-and-temporal trading (STT) during 2006-2015. Comparing with the no-trading scheme, the results indicate that, (1) the ST and STT schemes may create potential gains of 268.02 and 612.26 trillion yuan in the whole industrial during the study period, i.e., the industrial value-added would be increased by 55.17% and 73.76%, respectively; (2) the ST and STT schemes could reduce 17.17 and 19.22 billion tonnes of carbon dioxide emissions, respectively, accounting for 58.30% and 65.25% of emissions reduction in the whole industry; and (3) if carbon trading were adopted in China since 2006, its carbon intensity of industrial sectors would decrease by 34.89%, 47.44% and 19.80% under the ST scheme, and 58.93%, 31.50% and 10.25% under the STT scheme during the11th, 12th and 13th Five-Year Plan periods, respectively.
Yokenella regensburgei, a novel pathogen in farmed American alligators

Increased acute mortality of farmed American alligators (Alligator mississippiensis) was observed in various pens from 2 different farms in Louisiana over 2 years (2019-2021). A total of 14 alligators from multiple events of increased mortality were subjected to postmortem investigations. Except for one alligator with acute neurologic signs, no premonitory signs were observed. All animals had pneumonia (14/14), coelomitis (14/14), and intravascular short Gram-negative bacilli (14/14). Myocarditis (13/14) was common. Yokenella regensburgei was isolated from all alligators tested (13/13). These data suggest the respiratory tract may be a primary target system and could be involved in transmission, either through exhaled bacteria or through swallowing of contaminated respiratory fluids with passage through the feces. Available sensitivity data for Y. regensburgei in this study indicates in vitro sensitivity to aminoglycosides, fluoroquinolones, chloramphenicol, and trimethoprim/sulphamethoxazole antibiotics. Yokenella regensburgei should be included in the differential diagnosis of septicemia and acute death in alligators.
Efficient design of cold-formed steel bolted-moment connections for earthquake resistant frames

Cold-formed steel (CFS) sections can be designed in many configurations and, compared to hot-rolled steel elements, can lead to more efficient and economic design solutions. While CFS moment resisting frames can be used as an alternative to conventional CFS shear-wall systems to create more flexible space plans, their performance under strong earthquakes is questionable due to the inherited low local/distortional buckling of thin-walled CFS elements and limited ductility and energy dissipation capacity of typical CFS bolted-moment connections. To address the latter issue, this paper presents a comprehensive parametric study on the structural behaviour of CFS bolted beam-to-column connections with gusset plates under cyclic loading aiming to develop efficient design solutions for earthquake resistant frames. To simulate the hysteretic moment-rotation behaviour and failure modes of selected CFS connections, an experimentally validated finite element model using ABAQUS is developed, which accounts for both nonlinear material properties and geometrical imperfections. Connection behaviour is modelled using a connector element, simulating the mechanical characteristics of a bolt bearing against a steel plate. The model is used to investigate the effects of bolt arrangement, cross-sectional shape, gusset plate thickness and cross-sectional slenderness on the seismic performance of CFS connections under cyclic loading. The results indicate that, for the same amount of material, folded flange beam sections with diamond or circle bolt arrangements can provide up to 100% and 250% higher ductility and energy dissipation capacity, respectively, compared to conventional flat-flange sections with square bolt arrangement. Using gusset plates with the same or lower thickness as the CFS beam may result in a premature failure mode in the gusset plate, which can considerably reduce the moment capacity of the connection. The proposed numerical model and design configurations can underpin the further development and implementation of CFS bolted-moment connections in seismic regions.
Risk Factors, Lifestyle Behaviors, and Vascular Brain Health

Although a relationship between traditional cardiovascular risk factors and stroke has long been recognized, these risk factors likely play a role in other aspects of brain health. Clinical stroke is only the tip of the iceberg of vascular brain injury that includes covert infarcts, white matter hyperintensities, and microbleeds. Furthermore, an individual's risk for not only stroke but poor brain health includes not only these traditional vascular risk factors but also lifestyle and genetic factors. The purpose of this narrative review is to summarize the state of the evidence on traditional and nontraditional vascular risk factors and their contributions to brain health. Additionally, we will review important modifiers that interact with these risk factors to increase, or, in some cases, reduce risk of adverse brain health outcomes, with an emphasis on genes and biomarkers associated with Alzheimer disease. Finally, we will consider the importance of social determinants of health in brain health outcomes.
The Effect of Renewable and Nuclear Energy Consumption on Decoupling Economic Growth from CO2 Emissions in Spain

This study examines the relationship between renewable and nuclear energy consumption, carbon dioxide emissions and economic growth by using the Granger causality and non-linear impulse response function in a business cycle in Spain. We estimate the threshold vector autoregression (TVAR) model on the basis of annual data from the period 1970-2018, which are disaggregated into quarterly data to obtain robust empirical results through avoiding a sample size problem. Our analysis reveals that economic growth and CO2 emissions are positively correlated during expansions but not during recessions. Moreover, we find that rising nuclear energy consumption leads to decreased CO2 emissions during expansions, while the impact of increasing renewable energy consumption on emissions is negative but insignificant. In addition, there is a positive feedback between nuclear energy consumption and economic growth, but unidirectional positive causality running from renewable energy consumption to economic growth in upturns. Our findings do indicate that both nuclear and renewable energy consumption contribute to a reduction in emissions; however, the rise in economic activity, leading to a greater increase in emissions, offsets this positive impact of green energy. Therefore, a decoupling of economic growth from CO2 emissions is not observed. These results demand some crucial changes in legislation targeted at reducing emissions, as green energy alone is insufficient to reach this goal.
A study on the correlation between spleen volume estimated via cavalieri principle on computed tomography images with basic hemogram and biochemical blood parameters

Considering its hematological and immunological functions, spleen is a very important organ. A change occurs in its size as the spleen performs these functions. This study aims to examine the possible relationships between spleen volume and the basic hemogram and biochemical parameters in serum. Multidetector computed tomography images and basic hemogram and biochemical parameters of 74 adult individuals, 34 male and 40 female, who were found to be healthy, were used in the study. Spleen volume was estimated using the Cavalieri method on multidetector computed tomography images and the correlations between the volume value with basic hemogram and biochemistry parameters were researched. While negative significant correlations were found between the estimated spleen volume and lymphocyte percentage (r=-0.224) and platelet level (r=-0.271); positive significant correlations were found between hemoglobin level (r=0.228), hematocrit level (r=0.237), alanine aminotransferase (r=0.345), and erythrocyte level (r=0.375). As a result of this study, a relationship was found between spleen volume and lymphocyte percentage, hematocrit level, erythrocyte level, platelet level, and alanine aminotransferase level in serum. We believe that the results of the study will provide a larger perspective to clinicians in the diagnosis of diseases associated with spleen.
A Novel Framework of Reservoir Computing for Deterministic and Probabilistic Wind Power Forecasting

The path towards wind power forecasting has yielded huge socio-economic benefits at a global scale. However, most of the previous studies tend to emphasize the improvement of deterministic forecasting, usually losing sight of the significance of probabilistic forecasting. In this paper, a novel forecasting system that can perform deterministic and probabilistic forecasting of wind power simultaneously, composed by the modules of feature selection, forecasting, system optimization, and system evaluation is presented to further supplement the existing studies in this field. Concretely, a hybrid feature selection strategy is proposed in the feature selection module to determine optimal system input; superior to traditional gradient descent algorithm, a dynamic reservoir theory-based recurrent neural network is developed in the forecasting module; an enhanced multi-objective optimization algorithm with the objectives of accuracy and stability is proposed in the system optimization module to provide an optimal scenario for system parameters; the effectiveness and feasibility of the proposed system is then validated in the evaluation module. Moreover, the comprehensive performance analysis of the proposed system is investigated in depth. Finally, the experimental results demonstrate that the proposed system has a significant advantage over the benchmarks considered, further verifying its tremendous potential to be used in a practical wind power system.
Evolution of sustainability in global green building rating tools

Green building rating tools (GBRTs) are well-known and important instruments for assessing building sustainability. GBRTs constantly upgrade to meet rapid development, one of which is achieving a reasonable balance among the "three pillars" of sustainability, namely, environmental, social and economic sustainability. This study analyzes the changes and trends in the three sustainability pillars of GBRT and reinforces the previous GBRT longitudinal studies in terms of research sample, time span, equal terms, and research depth. Ten global GBRTs are selected by specific screening principles, and a unified criterion framework is presented to compare these selected GBRTs on equal terms. The changes of GBRTs are then analyzed on three levels, namely, categories, subcategories, and criteria. The results show that in the past three decades, there is a continuous decrease in the weight of the environmental category, an obvious increase in the weight of the social category and a little rise in the wight of the "economic" category. "Pollution," "physical comfort," and "flexibility" are identified as "sensitive criteria" of environmental, social, and economic categories, respectively, given their significant changes; they are also critical factors for the evolution of GBRT for the past three decades. (C) 2020 Elsevier Ltd. All rights reserved.
The Experiences of People With Advanced Cancer and Professionals Participating in a Program With Focus on Rehabilitation and Palliative Care

The study's aim is to explore the experiences of people with advanced cancer and professionals participating in a program with focus on rehabilitation and palliative care. The study is based on two adjusted rehabilitation programs for 33 people with advanced cancer and 12 professionals. An observational study was conducted among the participants and two focus group interviews with 10 professionals. The analytic themes were "Lightness and happiness to gain control in everyday life," "Community and closeness," and "Training as a happiness and changing agent." The activities had to support physical functions and everyday activities promoting body identity and well-being as well as emotions like closeness, lightness, and happiness in groups with like-minded people and at home with a partner and other family members. These activities and theory of emotions and body can expand the understanding of palliative care and rehabilitation as separated or integrated perspectives theoretical and in practice.
Value addition in the services sector and its heterogeneous impacts on CO2 emissions: revisiting the EKC hypothesis for the OPEC using panel spatial estimation techniques

This study examines the Environmental Kuznets Curve (EKC) hypothesis in the context of 12 members of the OPEC by utilizing data on both the aggregate gross value added and the services' sectoral value-added between 1992 and 2015. This empirical work contributes to the literature by applying the panel spatial techniques which resulted in the findings as follows. Firstly, the results verify the authenticity of the EKC hypothesis for the aggregate level of gross value added as perceived from its inverted-U shaped association with CO2 emissions. Secondly, the disaggregated analysis affirms the heterogeneity of the validity of the EKC hypothesis across the subsectors within the services sector; this justifies the importance of analyzing the EKC hypothesis from a comprehensive (disaggregated) perspective for unearthing key sector-specific policy implications. The results reveal that the EKC hypothesis holds only in the context of construction services only but not for the cases of restaurant services, tourism and transportation services. These key findings call for effective measures to be undertaken to address the adverse environmental impacts that can be attributed to thse three sub-sectors for which the EKC did not hold. In line with the overall findings from the empirical exercises, it is recommended that the concerned OPEC members reduce their monotonic dependency on the consumption of fossil fuels, oil in particular, and gradually incorporate renewable energy resources into the energy-mix particularly within their respective services sector.