ahmedabdelwahed/Medical_papers_title_and_abstract_NLP_dataset huggingface dataset:
Feasibility assessment of the carbon emissions peak in China's construction industry: Factor decomposition and peak forecast

The carbon emissions from the construction industry have a significant impact on China's ability to successfully achieve its 2030 carbon peak target. The paper reports the feasibility of carbon peaks in China's construction industry based on two perspectives of factor decomposition and peak prediction. First, the Generalized Dividing Index Method factorizes the carbon emissions of China's construction industry from 2001 to 2017, and quantifies the contribution rate of each influent factor. Second, a baseline scenario, a low-carbon energy-saving scenario, and a technology breakthrough scenario are constructed. The carbon peaks of the China's construction industry in the three scenarios are then predicted for 2018-2045. The results are as follows: Firstly, GDP has the highest cumulative contribution rate to China's construction industry carbon emissions, and labor productivity and the output carbon intensity have a depressing effect on carbon emissions in that industry. The contribution rate of energy consumption to carbon emissions is always positive and grows year by year, whereas the energy intensity and carbon intensity of energy consumption have great potential for reducing carbon emissions in the future. The number of laborers and the per capita carbon emissions of the construction industry, the total labor force in each industry, and the proportion of the labor force in the construction industry have contributed to the carbon emissions of the construction industry. Second, under the baseline scenario, China's construction industry achieves carbon peaks in 2045, with a peak of 50,935,390 tons. Under the low-carbon energy-saving scenario, the carbon peak of the construction industry occurs in 2030, with a peak value of 31,685,580 tons. Under the technological breakthrough scenario, the carbon peak time of the construction industry is the earliest (2020), and the peak value is the lowest (29,008,400 tons). This study has important implications for the carbon peaks at the national macro level. (C) 2018 Elsevier B.V. All rights reserved.
MiR-192-5p-Modified Tumor-Associated Macrophages-Derived Exosome Suppressed Endometrial Cancer Progression Through Targeting IRAK1/NF-κB Signaling

Tumor-associated macrophages (TAMs) are a major regulator in the development of endometrial cancer (EC). It was indicated that TAMs could crosstalk with cancer cells via transferring exosomes which carrying microRNAs (miRNAs). Firstly, we found that TAMs could promote the epithelial-mesenchymal transition (EMT) of EC cells and inhibit its apoptosis. Next, we further found that TAMs regulated the EMT and apoptosis of EC cells through transferring exosomes into EC cells. Then, lowly expressed miR-192-5p in TAMs-derived exosomes was proved. Moreover, our data demonstrated that upregulation of miR-192-5p in TAMs-derived exosomes could significantly promote the apoptosis of EC cells and impede its EMT. IRAK1 was proved to be a downstream target of miR-192-5p. Importantly, we indicated that miR-192-5p-overexpressed TAMs-derived exosomes regulated the EC cells apoptosis and EMT through inhibiting IRAK1/NF-κB signaling pathway. In addition, we also revealed that overexpression of miR-192-5p in TAMs-derived exosomes obviously limits the growth of tumors. Overall, in TAMs-derived exosomes, our data demonstrated that overexpression of miR-192-5p could effectively suppress the progression of EC. Our data provid a new target for EC treatment.
A Modular Synthesis of Substituted Cycloparaphenylenes

Herein, we report a modular synthesis providing access to substituted cycloparaphenylenes (CPPs) of different sizes. A key synthon introducing two geminal ester units was efficiently prepared by [2+2+2] cycloaddition. This building block can be conveniently converted to macrocyclic precursors controlling the ring size of the final CPP. Efficient reductive aromatization through single-electron transfer provided the substituted nanohoops in a straightforward manner. The tBu ester substitution pattern enables a tube-like arrangement in the solid-state governed by van der Waals interactions that exhibits one of the tightest packings of CPPs in tube direction, thus opening new avenues in the crystal design of CPPs.
Fungicidal synergistic effect of biogenically synthesized zinc oxide and copper oxide nanoparticles against Alternaria citri causing citrus black rot disease

Citrus black rot disease being caused by Alternaria citri is a major disease of citrus plants with 30-35% economic loss annually. Fungicides had not been effective in the control of this disease during last few decades. In the present study, antifungal role of green synthesized zinc oxide (ZnO) and copper oxide (CuO) nanoparticles (NPs) were studied against Alternaria citri. Alternaria citri was isolated from disease fruits samples and was identified by staining with lacto phenol cotton blue. Furthermore, CuO and ZnO NPs were synthesized by utilizing the lemon peels extract as the reducing and capping agent. Nanoparticles were characterized by X-ray diffraction (XRD) and scanning electron microscopy (SEM) techniques. From the XRD data, the calculated size of CuO NPs was to be 18 nm and ZnO NPs was16.8 nm using Scherrer equation. The SEM analyses revealed the surface morphology of all the metal oxide NPs synthesized were rounded, elongated and or spherical in the shape. The zone of inhibition was observed to be 50 ± 0.5 mm by CuO NPs, followed by 51.5 ± 0.5 mm by ZnO NPs and maximum zone of antifungal inhibition was observed to be 53 ± 0.6 mm by mix metal oxide NPs. The results of minimum inhibitory concentration (MIC) and minimum fungicidal concentration (MFC) of the synthesized nanoparticles showed that at the certain concentrations (80 mg ml-1), these NPs were capable of inhibiting the fungal growth, whereas above that specified concentrations (100 mg ml-1), NPs completely inhibited the fungal growth. Based on these findings, the green synthesized NPs can be used as alternative to fungicide in order to control the citrus black rot disease.
Iodinated cyanine dye-based nanosystem for synergistic phototherapy and hypoxia-activated bioreductive therapy

Photodynamic therapy (PDT) has been applied in cancer treatment by utilizing reactive oxygen species (ROS) to kill cancer cells. However, the effectiveness of PDT is greatly reduced due to local hypoxia. Hypoxic activated chemotherapy combined with PDT is expected to be a novel strategy to enhance anti-cancer therapy. Herein, a novel liposome (LCT) incorporated with photosensitizer (PS) and bioreductive prodrugs was developed for PDT-activated chemotherapy. In the design, CyI, an iodinated cyanine dye, which could simultaneously generate enhanced ROS and heat than other commonly used cyanine dyes, was loaded into the lipid bilayer; while tirapazamine (TPZ), a hypoxia-activated prodrug was encapsulated in the hydrophilic nucleus. Upon appropriate near-infrared (NIR) irradiation, CyI could simultaneously produce ROS and heat for synergistic PDT and photothermal therapy (PTT), as well as provide fluorescence signals for precise real-time imaging. Meanwhile, the continuous consumption of oxygen would result in a hypoxia microenvironment, further activating TPZ free radicals for chemotherapy, which could induce DNA double-strand breakage and chromosome aberration. Moreover, the prepared LCT could stimulate acute immune response through PDT activation, leading to synergistic PDT/PTT/chemo/immunotherapy to kill cancer cells and reduce tumor metastasis. Both in vitro and in vivo results demonstrated improved anticancer efficacy of LCT compared with traditional PDT or chemotherapy. It is expected that these iodinated cyanine dyes-based liposomes will provide a powerful and versatile theranostic strategy for tumor target phototherapy and PDT-induced chemotherapy.
Association of atopic dermatitis with delinquent behaviors in US children and adolescents

Childhood atopic dermatitis (AD) is associated with chronic itch, pain and sleep disturbance, which may predispose children to high-risk behaviors in their school and home environments. We examined the association between AD and delinquent/high-risk behaviors in children and adolescents. Data were analyzed from The Fragile Families and Child Wellbeing Study, a longitudinal birth cohort study consisting of 4898 children born in urban cities between 1998 and 2000. A 1-year history of AD was associated with ≥ 75th percentile of mean delinquent behavior scores at age 9 (adjusted odds ratio (aOR) [95% confidence interval] 1.39 [1.14-1.68]), but not age 15 (1.05 [0.86-1.29]). At age 9, a 1-year history of AD was associated with a higher number of delinquent behaviors (adjusted risk ratio [95% CI] 1.12 [1.03-1.23]). AD at ages 5 (aOR [95%CI] 1.31 [1.04-1.64]) and 9 (1.38 [1.14-1.67]) was associated with the highest quartile of mean delinquent behavior scores at ages 9 or 15. Children with AD persisting at multiple age groups had significantly increased odds of ≥ 75th percentile of mean delinquent behavior scores at age 15 (aOR [95%CI] 1.41 [1.09-1.81]). AD was found to be associated with the following delinquent problems: damaging property (aOR [95%CI] 1.38 [1.08-1.77]), cheating on a test (1.62 [1.17-2.26]), fist fight involvement (1.47 [1.21-1.79]) and school suspension (1.36 [1.08-1.71]). This study suggests that childhood AD may precede the onset of delinquent and high-risk behaviors later in childhood and adolescence.
A GIS-based novel approach for suitable sanitary landfill site selection using integrated fuzzy analytic hierarchy process and machine learning algorithms

Disposal of waste without treatment is the least preferable way of sustainable solid waste management (SWM). But most cities in developing nations still use open dumps, causing negative impacts on the environment and human health. This study offered a novel approach for selecting landfill sites and sustainable SWM in Aligarh city, India. This was done through data collection, selecting models for criterion weighting, and validation. In order to prepare a landfill site suitability map, a geographic information system (GIS)-based ensemble fuzzy analytic hierarchy process-support vector machine (FAHP-SVM) and fuzzy analytic hierarchy process-random forest (FAHP-RF) models were implemented. Considering the previous studies and the study area characteristics, eighteen thematic layers were selected. The result revealed that land value; distance from residential roads, hospitals and clinics, and waste bins; and normalized difference built-up index (NDBI) have a fuzzy weight greater than 0.10, indicating significant factors. In contrast, land elevation, land slope, surface temperature, soil moisture index, normalized difference vegetation index (NDVI), and urban classification have a zero fuzzy weight, indicating these criteria have no importance. The result further revealed that FAHP-RF with an area under curve (AUC) value of 0.91 is the more accurate model than FAHP-SVM. According to the final weight-based overlay result, seven potential landfill sites were identified, out of which three were determined as most suitable by considering current land cover, public opinions, and environmental and economic concerns. This research proposed a zonal division model based on landfill sites location for sustainable SWM in Aligarh city. However, the findings may provide a guideline to the decision-makers and planners for optimal landfill site selection in other cities of developing countries.
Evaluation of the efficiency and sustainability of timber-based construction

This research is focused on the much-debated issues regarding the low degree of efficiency and sustainability in the construction industry. The objective of this work is to present an evaluation of the efficiency and sustainability of buildings, and to determine, based on analyses of socio-economic research and theoretical assumptions, the degree of efficiency of modern methods of construction based on wood. The socio-economic research relies on the reports of users of completed constructions, which allowed a comparison of efficiency as perceived by users with efficiency as declared by manufacturers. The analysed constructions and the opinions of their users were identified in cooperation with various organizations operating in the wood-based construction sector and using databases of buildings already in use. A total of 160 constructions were analysed along with the opinions of their users. This comparison of the efficiency of construction systems in terms of selected sustainability parameters suggests that wood-based panel constructions constructed by a supplier company have the highest degree of efficiency. Constructions completed using a combined construction method are the least efficient (a combination of completion by a supplier firm with do it yourself completion). The work's main contribution is an innovative approach to evaluating modern methods of construction based on wood by collecting information from users, as users can give the most valuable feedback that is based on their own experience after purchasing their houses. This approach to addressing the issues allowed identification of the advantages and disadvantages of wood-based constructions, which can have a positive impact on the practices and companies in the construction sector. The presented research delivers a number of results produced by the analyses and the socio-economic research, possibly boosting awareness of the advantages of wood-based constructions in terms of sustainability. (C) 2020 Elsevier Ltd. All rights reserved.
Geochemistry and Cosmochemistry of Potassium Stable Isotopes

Stable potassium isotopes are one of the emerging non-traditional isotope systems enabled in recent years by the advance of Multi-Collector Inductively-Coupled-Plasma Mass-Spectrometry (MC-ICP-MS). In this review, we first summarize the geochemical and cosmochemical properties of K, its major reservoirs, and the analytical methods of K isotopes. Following this, we review recent literature on K isotope applications in the fields of geochemistry and cosmochemistry. Geochemically, K is a highly incompatible lithophile element, and a highly soluble, biophile element. The isotopic fractionation of K is relatively small during magmatic processes such as partial melting and fractional crystallization, whereas during low-temperature and biological processes fractionation is considerably larger. This resolvable fractionation has made K isotopes promising tracers for a variety of Earth and environmental processes, including chemical weathering, low-temperature alteration of igneous rocks, reverse weathering, and the recycling of sediments into the mantle during subduction. Sorption and interactions of aqueous K with different clay minerals during cation exchange and clay formation are likely to be of fundamental significance in generating much of the K isotope variability seen in samples from the Earth surface and samples carrying recycled surface materials from the deep Earth. The magnitude of this fractionation is process- and mineral-dependent. Comprehensive quantification of pertinent K isotope fractionation factors is currently lacking and urgently needed. Significant fractionation during biological activities, such as plant uptake, demonstrates the potential utility of K isotopes in the study of the nutrient cycle and its relation to the climate and various ecosystems, enabling new and largely unexplored avenues for future research. Of significant importance to the cosmochemistry community, K is a moderately volatile element with large variations in K/U ratio observed among chondrites and planetary materials. As this indicates different degrees of volatile depletion, it has become a fundamental chemical signature of both chondritic and planetary bodies. This volatile depletion has been attributed to various processes such as solar nebula condensation, mixing of volatile-rich and -poor reservoirs, planetary accretional volatilization via impacts, and/or magma ocean degassing. While K isotopes have the potential to distinguish these different processes, the current results are still highly debated. A good correlation between the K isotope compositions of four differentiated bodies (Earth, Mars, Moon, and Vesta) and their masses suggests a ubiquitous volatile depletion mechanism during the formation of the terrestrial planets. It is still unknown whether any of the K isotopic variation among chondrites and differentiated bodies can be attributed to inherited signatures of mass-independent isotopic anomalies.
Sustainability evaluation and sensitivity analysis of district heating systems coupled to geothermal and solar resources

District heating systems assisted by renewable energy harness local energy sources, save fossil fuels, and reduce greenhouse gas emissions. Here, geothermal and solar resources are integrated into district heating through a geothermal heat pump and an absorption heat pump by employing vapor-compressor and absorption cycles, respectively. A quantitative sustainability assessment model was constructed for the resulting hybrid district heating systems. Indicators on energy, environment, economic, and societal aspects were used to evaluate the composite sustainability index of hybrid systems with information entropy method. The results demonstrate that a district heating system coupled to compound parabolic concentrator-photovoltaic/thermal solar collector system with 100% photovoltaic coverage ratio is the ideal system for the case study when the annual cost saving ratio is given the highest impact in the composite sustainability index. A detailed analysis on the annual cost saving ratio shows that a higher ambient temperature, solar beam irradiance and grid electricity price would have a positive impact on the annual cost saving ratio. It can be concluded that the quantitative sustainability evaluation approach proposed helps to select the ideal hybrid system.
Performance analysis and multi-objective optimization of an integrated gas turbine/supercritical CO2 recompression/transcritial CO2 cogeneration system using liquefied natural gas cold energy

A novel power/cooling cogeneration system integrated with a gas turbine, a supercritical CO2 recompression power system (SCRPC) and a transcritical CO2 power system (TCPC) using liquefied natural gas (LNG) cold energy is proposed and investigated. This new combined system can improve the electrical capacity of gas turbine, and it can maximize the electrical output under different gas turbine load conditions by adjusting the split ratio. A steady-state mathematical model is developed to further understand the performance of the proposed system. It is shown that under the given conditions the combined thermal efficiency and the combined exergy efficiency are 52.94% and 30.27%, respectively. And the exergy analysis shows that the exergy destruction mainly occurs in the combustor, followed by condenser and NG terminal, respectively. Parametric study shows that the engine load conditions, the turbine I inlet temperature, the SCRPC and TCPC highest pressures and the effectiveness of HTR, LTR and regenerator have significant effects on the net work output, the cooling capacity, the combined thermal and exergy efficiencics, and the capital investment cost. Furthermore, multi-objective optimizations considering both thermodynamic and economic aspects are carried out to obtain the Pareto frontier solutions for different multi-objectives, and the optimal design condition is found out by means of the TOPSIS method based on entropy weight. These findings could be helpful in improving the utilization rate of the gas turbine exhaust waste heat and thus boost the system efficiency.
The COVID-19 Pandemic as an Opportunity to Foster the Sustainable Development of Teaching in Higher Education

The COVID-19 pandemic has had profound consequences on the social, economic and cultural life at the global level. The educational dimension has also been affected in the schools' regular functioning, with the temporary closure of educational institutions, as well as the impediment of face-to-face classes. This perspective paper aims to add to the knowledge already produced on this topic, by arguing that these challenging conditions can be a pivotal moment of opportunity for reshaping higher education, with the implementation, development and diffusion, among academics and students, of digital technologies. The paper also discusses the role of leadership in the transformation of organizational culture in higher education. The methodology used to carry out this study is qualitative, and the technique employed to analyze the data collected was content analysis. Research studies, in diverse formats, already published on the COVID-19 topic and its impacts were the elected data sources. The results of this document analysis allow us to conclude that there is the need to improve the digital sustainable development in teaching in higher education, which entails profound challenges that higher education institutions need to face and overcome if they want to be at the forefront of success in the international education market. This is where the authors seek to contribute, by offering insights on the challenges-but also the opportunities-that COVID-19 poses to higher education at a time when it needs to redefine its teaching methods, leadership models, and interaction channels, by going digital towards the improvement of the sustainable development of its teaching.
The Race for Lowest Costs of Electricity Production: Techno-Economic Analysis of Silicon, Perovskite and Tandem Solar Cells

Approaching efficiency limits for silicon photovoltaics and impressive efficiency gains for new perovskite and perovskite silicon tandem solar cells trigger the question, which technology will be the most economically attractive option in the future. With a bottom-up approach we estimate the manufacturing costs of modules based on silicon, perovskite single junction, and perovskite silicon tandem solar cells. We determine levelized cost of electricity (LCOE) based on current costs, and because the perovskite technology is not readily available yet, project as well future LCOE considering the ongoing dynamic system cost reductions. Furthermore, we use an empirical link between perovskite single junction efficiency and resulting tandem efficiency, to estimate LCOE for both technologies for a given status of the perovskite technology. We find that if the perovskite technology matures to a level within the next 5-6 years where single junction module efficiency exceed 22% and tandem device efficiency 30% using low-cost industrial scale processes, while module lifetimes are comparable to silicon, perovskite silicon tandem devices are especially promising for residential applications, while in utility installations perovskite silicon tandems and perovskite singlejunction devices promise a cost advantage over pure silicon. LCOE reductions of 10% 20% compared to pure silicon photovoltaics are possible.