ahmedabdelwahed/Medical_papers_title_and_abstract_NLP_dataset huggingface dataset:
Waste-to-resources: Green preparation of magnetic biogas residues-based biochar for effective heavy metal removals

The agricultural wastes disposal and polluted water purification are always the key issues of environmental restoration. In this work, a magnetic biogas residue-based biochar (mBR-C) by direct pyrolysis and sonochemical method was prepared from biogas residue (BR). Response design methodology based on Box-Behnken design was used for the preparation parameters optimization. The characterization results identified that mBR-C had well-developed pore structure and surface area, which was beneficial to diffuse and capture heavy metal ions. Traces of toxic heavy metal in mBR-C was leached ((<)0.04 mg/L) through TCLP method, indicating the environmental safety of the magnetic biochar. Meanwhile, the mBR-C exhibited excellent solid-liquid separation efficiency because of its strong magnetism. The series of adsorption experiments indicated that mBR-C could capture Cu2+ and Pb2+ rapidly, and the maximum adsorption capacity for Cu2+ and Pb2+ was 75.76 and 181.82 mg/g, respectively, which was higher than some other biochars previously reported, mBR-C was further applied in the synthetic wastewater treatment, which could effectively purify at least 600 mL (150 BV) to meet emission standards. After several column adsorption-desorption cycles, the adsorption capacity could still reach 85%, implying that mBR-C has good reusability and stability. Overall, the mBR-C can be used as an eco-friendly, desirable, economic and recyclable biosorbent in heavy metal polluted water treatment, providing a new idea for a combination of biogas residue recycle and wastewater treatment. (C) 2020 Elsevier B.V. All rights reserved.
Conspiracy Beliefs Are Associated with Lower Knowledge and Higher Anxiety Levels Regarding COVID-19 among Students at the University of Jordan

The world has been afflicted heavily by the burden of coronavirus disease 2019 (COVID-19) that overwhelmed health care systems and caused severe economic and educational deficits, in addition to anxiety among the public. The main aim of this study was to evaluate the mutual effects of belief that the pandemic was the result of a conspiracy on knowledge and anxiety levels among students at the University of Jordan (UJ). An electronic-based survey was conducted between 29 March, 2020 and 31 March, 2020. The targeted population involved all undergraduate and postgraduate students from the health, scientific and humanities schools at UJ. Survey sections included 26 items on: socio-demographic information, knowledge and sources of information about the disease, attitude towards the false notion that COVID-19 stemmed from a conspiracy and items to assess the anxiety level among students during the quarantine period. The total number of participants was 1540 students. The mean age of study participants was 22 years and females predominated the study population (n = 1145, 74.4%). The majority of participants perceived the disease as moderately dangerous (n = 1079, 70.1%). Males, Jordanians and participants with lower income were more inclined to feel that COVID-19 is very dangerous. A lower level of knowledge and a higher level of anxiety about COVID-19 were associated with the belief that the disease is part of a conspiracy. Females and participants with lower income were more likely to believe that the disease is related to conspiracy. Belief in conspiracy regarding the origin of COVID-19 was associated with misinformation about the availability of a vaccine and the therapeutic use of antibiotics for COVID-19 treatment. The Ministry of Health in Jordan was the most common source of information about COVID-19 reported by the participants (n = 1018). The false belief that COVID-19 was the result of a global conspiracy could be the consequence of a lower level of knowledge about the virus and could lead to a higher level of anxiety, which should be considered in the awareness tools of various media platforms about the current pandemic.
Anxiety and depressive symptoms among adults with obesity and chronic pain: the role of anxiety sensitivity

Obesity and chronic pain frequently co-occur, and this co-occurrence can have potential negative consequences, particularly as it relates to mental health. As such, there is a need to understand potential risk factors for poor mental health among this co-morbid population. Thus, the current study examined the predictive role of anxiety sensitivity (and its sub-facets) on anxiety and depressive symptoms among adults (82.5% female, Mage = 40.2 years, SD = 10.92) with obesity and chronic pain. Results revealed that greater levels of anxiety sensitivity were associated with greater levels of both anxiety and depressive symptoms, with medium to large effect sizes. Post hoc analyses also indicated that specific sub-facets of anxiety sensitivity (cognitive and social concerns) were significant predictors of the criterion variables. The current study highlights the potential clinical utility in targeting anxiety sensitivity among individuals with co-occurring obesity and chronic pain in the treatment of anxiety and depressive symptoms.
Optimal planning and operation of multi-carrier networked microgrids considering multi-energy hubs in distribution networks

In this paper, we propose a new scheme for designing multi-carrier networked microgrids. Various multi-energy carriers are utilized to form energy hubs which exchange energy with each other and the main electricity and gas networks. The proposed model considers renewable generation, diesel generators, fuel cells, energy storages, combined heat and powers, boilers, combined cooling heat and powers, and power to gas converters. The seasonal load patterns are considered to design the optimal capacity of combined cooling, heating, and powers. The main objective of the proposed model is to operate the integrated hubs with minimum cost, meet the consumer's required energies, reduce the emissions, and create a bi-directional interaction between electricity, and gas networks using power to gas converters. While all electrical, mechanical, and technical constraints are satisfied. To achieve these improvements, industrial and residential hubs interact with other multi-carrier microgrids to determine the optimal operation of hubs. The proposed model is tested on a standard case study and results show when hubs integrate about the total daily cost of each microgrid has been improved about 200 $. Besides, the thermal energy not supply in microgrid 4 has been improved from 4.61 MWh to 0.45 MWh. (C) 2020 Elsevier Ltd. All rights reserved.
Challenge accepted: uncovering the role of rare genetic variants in Alzheimer's disease

The search for rare variants in Alzheimer's disease (AD) is usually deemed a high-risk - high-reward situation. The challenges associated with this endeavor are real. Still, the application of genome-wide technologies to large numbers of cases and controls or to small, well-characterized families has started to be fruitful.Rare variants associated with AD have been shown to increase risk or cause disease, but also to protect against the development of AD. All of these can potentially be targeted for the development of new drugs.Multiple independent studies have now shown associations of rare variants in NOTCH3, TREM2, SORL1, ABCA7, BIN1, CLU, NCK2, AKAP9, UNC5C, PLCG2, and ABI3 with AD and suggested that they may influence disease via multiple mechanisms. These genes have reported functions in the immune system, lipid metabolism, synaptic plasticity, and apoptosis. However, the main pathway emerging from the collective of genes harboring rare variants associated with AD is the Aβ pathway. Associations of rare variants in dozens of other genes have also been proposed, but have not yet been replicated in independent studies. Replication of this type of findings is one of the challenges associated with studying rare variants in complex diseases, such as AD. In this review, we discuss some of these primary challenges as well as possible solutions.Integrative approaches, the availability of large datasets and databases, and the development of new analytical methodologies will continue to produce new genes harboring rare variability impacting AD. In the future, more extensive and more diverse genetic studies, as well as studies of deeply characterized families, will enhance our understanding of disease pathogenesis and put us on the correct path for the development of successful drugs.
Temporary reduction in fine particulate matter due to 'anthropogenic emissions switch-off' during COVID-19 lockdown in Indian cities

The COVID-19 pandemic elicited a global response to limit associated mortality, with social distancing and lockdowns being imposed. In India, human activities were restricted from late March 2020. This 'anthropogenic emissions switch-of presented an opportunity to investigate impacts of COVID-19 mitigation measures on ambient air quality in five Indian cities (Chennai, Delhi, Hyderabad, Kolkata, and Mumbai), using in-situ measurements from 2015 to 2020. For each year, we isolated, analysed and compared fine particulate matter (PM2.5) concentration data from 25 March to 11 May, to elucidate the effects of the lockdown. Like other global cities, we observed substantial reductions in PM2.5 concentrations, from 19 to 43% (Chennai), 41-53% (Delhi), 26-54% (Hyderabad), 24-36% (Kolkata), and 10-39% (Mumbai). Generally, cities with larger traffic volumes showed greater reductions. Aerosol loading decreased by 29% (Chennai), 11% (Delhi), 4% (Kolkata), and 1% (Mumbai) against 2019 data. Health and related economic impact assessments indicated 630 prevented premature deaths during lockdown across all five cities, valued at 0.69 billion USD. Improvements in air quality may be considered a temporary lockdown benefit as revitalising the economy could reverse this trend. Regulatory bodies must closely monitor air quality levels, which currently offer a baseline for future mitigation plans.
Diversity and biogenesis contribution of sulfate-reducing bacteria in arsenic-contaminated soils from realgar deposits

Microbial sulfate reduction, a vital mechanism for microorganisms living in anaerobic, sulfate-rich environments, is an essential aspect of the sulfur biogeochemical cycle. However, there has been no detailed investigation of the diversity and biogenesis contribution of sulfate-reducing bacteria in arsenic-contaminated soils from realgar deposits. To elucidate this issue, soil samples from representative abandoned realgar deposits were collected. Microcosm assays illustrated that all three samples (2-1, 2-2, and 2-3) displayed efficient sulfate and As(V)-respiring activities. Furthermore, a total of 28 novel sequence variants of dissimilatory sulfite reductase genes and 2 new families of dsrAB genes were successfully identified. A novel dissimilatory sulfate-reducing bacterium, Desulfotomaculum sp. JL1, was also isolated from soils, and can efficiently respiratory reduce As(V) and sulfate in 4 and 5 days, respectively. JL1 can promote the generation of yellow precipitates in the presence of multiple electron acceptors (both contain sulfate and As(V) in the cultures), which indicated the biogenesis contribution of sulfate-reducing bacteria to the realgar mine. Moreover, this area had unique microbial communities; the most abundant populations belonged to the phyla Proteobacteria, Chloroflexi, and Acidobacteriota, which were attributed to the unique geochemistry characteristics, such as total organic carbon, total As, NO3-, and SO42-. The results of this study provide new insight into the diversity and biogenesis contributions of sulfate-reducing bacteria in arsenic-contaminated soils from realgar deposits.
Functional Aqueous Zinc-Acetylene Batteries for Electricity Generation and Electrochemical Acetylene Reduction to Ethylene

The available processes for removing acetylene impurities from crude ethylene are tremendously energy-intensive. Herein, we demonstrate a novel aqueous Zn-C2 H2 battery, which not only switches energy-consuming acetylene removal to electricity generation, but also reduces acetylene to ethylene through a unique discharge mechanism: C2 H2 +Zn+H2 O→C2 H4 +ZnO. Under a pure acetylene stream, this Zn-C2 H2 battery exhibits an open circuit potential of 1.14 V and a peak power density of 2.2 mW cm-2 , which exceed those of reported Zn-CO2 batteries. Even for simulated crude ethylene, the Zn-C2 H2 battery manifests an acetylene conversion of 99.97 % and continuously produces polymer-grade ethylene with only ≈3 ppm acetylene during a long-term discharge operation. Such a functional battery is universally appliable for reducing other alkynes and generating electricity. Therefore, this work provides an effective strategy for green ethylene purification and the design of functional batteries.
A system dynamics model to quantify the impacts of restoration measures on the water-energy-food nexus in the Urmia lake Basin, Iran

Water scarcity exacerbated by growing demand in different sectors has created environmental, social, and economic challenges in the Urmia Lake Basin, Iran. Tackling this problem requires an integrated approach considering the basin as an interconnected system where a change in one sector affects others. Here, a System Dynamics Model is developed to simulate the water-energy-food nexus in the Urmia Lake Basin as a holistic multi-sectoral system and to assess the impacts of proposed lake restoration measures, especially looking for trade-offs. Besides considering climate change impacts, the effect of different sets of measures including increasing irrigation efficiency, increasing return flows, inter-basin water transfers, crop land retirement, and reviving a portion of the lake on the natural resources and socio-economic state of the basin are analysed. Results show that Urmia Lake level is sensitive to climate change scenarios. A holistic restoration approach could be effective in increasing the lake level to the proposed ecological level by 2040. However, in doing so, electricity demand in the agricultural sector could grow significantly. It is shown that a 20% retirement of irrigated wheat lands to curb water demand, if coupled with a 20% increase in yield on 80% and 50% of irrigated and rain-fed fields respectively, will not reduce wheat production in the basin. The effectiveness of water demand management measures is highly dependent on continuous monitoring and enforcement, particularly in restricting growth in agricultural water consumption. This study considered all nexus sectors in a holistic way to assess the total impact of proposed measures which on paper look positive, but may have unexpected consequences such as increasing energy demand for electric pumps. In dialogue with Urmia Lake restoration practitioners, this work can feed in to inform effective decisions for the restoration of Urmia Lake. (C) 2019 Elsevier B.V. All rights reserved.
Prevalence and Risk Factors of QTc Prolongation in Prostate Cancer Patients Undergoing Brachytherapy

QTc prolongation is linked to Torsade de Pointes, sudden cardiac death, and overall cardiovascular mortality. 754 prostate cancer patients undergoing brachytherapy were analyzed, prolonged QTc was defined as ≥450ms. A prolonged QTc was more frequent (10.1 vs. 5.1%, p = 0.040) in patients with high-risk cancer than in low to intermediate risk patients. The absolute QTc-time was correlated with age (r = 0.125), neutrophil count (r = 0.130) and negatively correlated with the testosterone level (r=-0.205). Treating physicians should be aware of this and monitor the QTc during ADT to possibly decrease cardiac morbidity/mortality in these patients who are more likely to require ADT.
Are millennials more multimodal? A latent-class cluster analysis with attitudes and preferences among millennial and Generation X commuters in California

Millennials tend to use a variety of travel modes more often than older birth cohorts. Two potential explanations for this phenomenon prevail in the literature. According to the first explanation, millennials often choose travel multimodality at least in part because of the effects of the economic crisis, which affected young adults more severely than their older counterparts. Another explanation points to the fact that millennials may have fundamentally different preferences from those of older birth cohorts. This paper presents an examination of millennials' travel behavior as compared to the preceding Generation X, based on a survey of 1069 California commuters. It shows that millennials adopt multimodality more often than Gen Xers, on average. However, the analysis also points to substantial heterogeneity among millennials and indicates that, perhaps contrary to expectations and the stereotype in the media, the majority of millennials are monomodal drivers in California. The paper contributes to the literature on millennials' mobility in several ways. First, it rigorously classifies various forms of travel multimodality (on a monthly basis and distinctively taking trip purpose into account) through the analysis of a rich dataset that includes individual attitudes and preferences; second, it explores gradual changes of multimodality across age and generation; and third, it analyzes the effects of various demographic, built environment, and attitudinal attributes on the adoption of multimodality.
Salting-out homogeneous liquid-liquid microextraction for the determination of azole drugs in human urine: Validation using total error concept

A salting-out homogeneous liquid-liquid microextraction was proposed for the quantification of four azole drugs in human urine prior to high-performance liquid chromatography analysis. The procedure involved the mixing of the sample with acetonitrile in appropriate volumes followed by the addition of sodium sulfate solution in order to facilitate phase separation. The parameters influencing the extraction performance were studied and optimized using a two-step experimental design. The analytical procedure was thoroughly validated using the accuracy profiles as a graphical decision-making tool. The β-expectation tolerance intervals did not exceed the acceptance criteria of ±15% meaning that 95% of future results will be included in the defined bias limits. The limits of detection of the procedure were satisfactory, ranging between 0.01 and 0.03 μg/mL. The mean analytical bias in the spiking levels was satisfactory and ranged between -10.3 and 4.2% while the relative standard deviation was lower than 5.6%. Monte-Carlo simulations followed by capability analysis were employed to investigate the ruggedness of the sample preparation protocol. The developed method offers advantages compared to previously reported approaches for the same type of analysis including extraction efficiency and scaling down of the sample volume and extraction time.
Copper Oxide Nanoparticles Exhibit Cell Death Through Oxidative Stress Responses in Human Airway Epithelial Cells: a Mechanistic Study

Copper oxide nanoparticles (CuONPs) are purposefully used to inhibit the growth of bacteria, algae, and fungi. Several studies on the beneficial and harmful effects of CuONPs have been conducted in vivo and in vitro, but there are a few studies that explain the toxicity of CuONPs in human airway epithelial cells (HEp-2). As a result, the purpose of this study is to look into the dose-dependent toxicity of CuONPs in HEp-2 cells. After 24 h of exposure to 1-40 µg/ml CuONPs, the MTT and neutral red assays were used to test for cytotoxicity. To determine the mechanism(s) of cytotoxicity in HEp-2 cells, additional oxidative stress assays (LPO and GSH), the amount of ROS produced, the loss of MMP, caspase enzyme activities, and apoptosis-related genes were performed using qRT-PCR. CuONPs exhibited dose-dependent cytotoxicity in HEp-2 cells, with an IC50 value of ~ 10 μg/ml. The morphology of HEp-2 cells was also altered in a dose-dependent manner. The involvement of oxidative stress in CuONP-induced cytotoxicity was demonstrated by increased LPO levels and ROS generation, as well as decreased levels of GSH and MMP. Furthermore, activated caspase enzymes and altered apoptotic genes support CuONPs' ability to induce apoptosis in HEp-2 cells. Overall, this study demonstrated that CuONPs can cause apoptosis in HEp-2 cells via oxidative stress; therefore, CuONPs may pose a risk to human health and should be handled and used with caution.
Digitalization of Agri-Cooperatives in the Smart Agriculture Context. Proposal of a Digital Diagnosis Tool

The use of digital technologies has been recognized as one of the great challenges for businesses of the 21st century. This digitalization is characterized by the intensive use of information technologies in the different stages of the value chain of a sector. In this context, smart agriculture is transforming the agricultural sector in terms of economic, social, and environmental sustainability. In some countries, cooperatives, as the most common legal form of the incumbent companies, in this rather traditional low-intensive technology sector, are going to develop a relevant role in the process of adoption of these technologies. In this context, this paper provides, first, a review of the evolution of the main digital technologies, such as Internet of Things, robots, Artificial Intelligence, Big Data, and Blockchain, among others. Second, a description of the digital innovation process in agri-cooperatives in order to help them in the decision-making process, and third, a digital diagnosis tool for measuring cooperatives' digital innovation. This tool is initially applied to two cases of agri-cooperatives in Spain. All of this contributes to a better understanding of digitalization of agri-cooperatives in the context of smart agriculture.
Design and performance evaluation of a new waste incineration power system integrated with a supercritical CO2 power cycle and a coal-fired power plant

A novel waste incineration power system highly integrated with a supercritical CO2 power cycle and a coal-fired power plant has been developed. In the hybrid configuration, the supercritical CO2 cycle gains energy from the superheater of the waste-to-energy (WTE) boiler, and the saturated steam produced by the WTE boiler is employed to heat the feedwater of the coal power plant. Consequently, the cascade energy utilization of the waste can be realized with the improvement of the WTE process. The performance of the proposed integrated scheme was thermodynamically and economically evaluated as compared to the conventional separate scheme, based on a 500 t/d incineration unit and a 300 MW coal power plant. The results indicate that the waste-to-electricity efficiency is promoted by 8.34 percentage points with an additional net power output of 3.33 MW, when adopting the proposal. The total exergy efficiency and the exergy efficiency of waste-to-electricity are increased by 0.43 and 7.88 percentage points. Additionally, the proposed system performs excellently under various boiler loads. Due to the integration, the net present value of the WTE project rises by 18.17 M$ and the dynamic payback period is reduced by 4.20 years. Therefore, the new design is extremely feasible and profitable.