Miracle-dz/UniFAR-FTUs huggingface dataset:
A Mixed-method Study of the Effects of Post-migration Economic Stressors on the Mental Health of Recently Resettled Refugees

After years of emphasis on pre-migration trauma as the major determinant of refugee mental health, researchers have begun to explore the effects of post-migration stressors on refugees’ distress. However, few studies have brought together refugees’ emic understandings of the effects of economic stressors on their mental health with quantitative data sets to further explore the salience of stress processes as an explanatory mechanism. In qualitative interviews, 41 percent of 290 recently resettled adult refugees noted that economic stressors were a major source of distress and described pathways through which these stressors negatively influenced their mental health by limiting their ability to learn English, obtain meaningful employment, access health care, maintain contact with their families, and integrate into their communities. In structural equation modeling of quantitative data, we tested several possible hypotheses that emerged from the qualitative findings. We find that post-migration economic stressors mediated the relationship between migration-related trauma and post-migration emotional distress and post-traumatic stress disorder (PTSD) symptoms. These findings provide empirical support for stress proliferation as a mechanism through which trauma exposure contributes to distress.
Fake news as fake politics: the digital materialities of YouTube misinformation videos about Brazilian oil spill catastrophe

This article investigates misinformation chains – fake news and clickbait – related to the 2019 oil spill along the coast of Northeast Brazil. A link between the intensive use of misinformation on YouTube and the environmental impact of digital media and algorithmic performativity has been found by analyzing videos about the 2019 Brazilian oil spill. A total of 591 YouTube videos were extracted based on a search for the hashtags ‘oleononordeste’, ‘vazamentopetroleo’, and ‘greenpixe’. The data thus obtained suggest that most of the corpus (80.37%) consists of misinformation, of which 65.82% (389 videos) is clickbait and 14.55% (86 videos) fake news. YouTube misinformation videos produced around 1.42 MtCO2e, the equivalent of burning 3.30 barrels of oil. We argue that misinformation chains increase pollution and carbon footprint as a result of at least three factors: (a) the extra energy cost of feeding algorithms; (b) increased algorithmic resistance to the visibility of journalistic information; and (c) undermining public debate about environmental catastrophes in favor of private interests (fake politics).
Computer Simulations as a Tool for Investigating Dust Generation in Bulk Solids Handling Operations

Two computer based modelling approaches are presented in this paper which focus on the flow of dust in bulk solids handling operations. Granular flow through a constant radius chute is modelled using computational fluid dynamics (CFD) in which a multiphase simulation is considered. This approach provides valuable information about the flow of dust and the results are confirmed by experimental observations. An expanded approach is then considered for a conveyor transfer in which CFD modelling is combined with the well known continuum model [1], as well as drawing on qualitative results obtained utilising the discrete element method (DEM). The results obtained from this method are also confirmed from experimental observations.
Natural products from the traditional Moroccan pharmacopoeia: A potential lead for the prevention and treatment of COVID-19

The new SARS-CoV-2 belonging to the coronaviruses family has caused a pandemic affecting millions of people around the world This pandemic has been declared by the World Health Organization as an international public health emergency Although several clinical trials involving a large number of drugs are currently underway, no treatment protocol for COVID-19 has been officially approved so far Here we demonstrate through a search in the scientific literature that the traditional Moroccan pharmacopoeia, which includes more than 500 medicinal plants, is a fascinating and promising source for the research of natural molecules active against SARS-CoV-2 Multiple in-silico and in-vitro studies showed that some of the medicinal plants used by Moroccans for centuries possess inhibitory activity against SARS-CoV or SARS-CoV2 These inhibitory activities are achieved through the different molecular mechanisms of virus penetration and replication, or indirectly through stimulation of immunity Thus, the potential of plants, plant extracts and molecules derived from plants that are traditionally used in Morocco and have activity against SARS-CoV-2, could be explored in the search for a preventive or curative treatment against COVID-19 Furthermore, safe plants or plant extracts that are proven to stimulate immunity could be officially recommended by governments as nutritional supplements
WRF4PALM v1.0: a mesoscale dynamical driver for the microscale PALM model system 6.0

Abstract. A set of Python-based tools, WRF4PALM, has been developed for offline nesting of the PALM model system 6.0 into the Weather Research and Forecasting (WRF) modelling system. Time-dependent boundary conditions of the atmosphere are critical for accurate representation of microscale meteorological dynamics in high-resolution real-data simulations. WRF4PALM generates initial and boundary conditions from WRF outputs to provide time-varying meteorological forcing for PALM. The WRF model has been used across the atmospheric science community for a broad range of multidisciplinary applications. The PALM model system 6.0 is a turbulence-resolving large-eddy simulation model with an additional Reynolds-averaged Navier–Stokes (RANS) mode for atmospheric and oceanic boundary layer studies at microscale (Maronga et al., 2020). Currently PALM has the capability to ingest output from the regional scale Consortium for Small-scale Modelling (COSMO) atmospheric prediction model. However, COSMO is not an open source model and requires a licence agreement for operational use or academic research (http://www.cosmo-model.org/, last access: 23 April 2021). This paper describes and validates the new free and open-source WRF4PALM tools (available at https://github.com/dongqi-DQ/WRF4PALM, last access: 23 April 2021). Two case studies using WRF4PALM are presented for Christchurch, New Zealand, which demonstrate successful PALM simulations driven by meteorological forcing from WRF outputs. The WRF4PALM tools presented here can potentially be used for micro- and mesoscale studies worldwide, for example in boundary layer studies, air pollution dispersion modelling, wildfire emissions and spread, urban weather forecasting, and agricultural meteorology.
Numerical and Experimental Study of Flow Field between the Main Hull and Demi-Hull of a Trimaran

The interactions between the main hull and demi-hull of trimarans have been arousing increasing attention, and detailed circumferential flow fields greatly influence trimaran research. In this research, the unsteady wake flow field of a trimaran was obtained by Reynolds-Averaged Navier-Stokes (RANS) equations on the basis of the viscous flow principles with consideration of the heaving and pitching of the trimaran. Then, we designed an experimental method based on particle-image velocimetry (PIV) and obtained a detailed flow field between the main hull and demi-hull of the trimaran. A trimaran model with one demi-hull made of polycarbonate material with 90% light transmission rate and a refractive index 1.58 (close to that of water 1.33) was manufactured as the experiment sample. Using polycarbonate material, the laser-sheet light-source transmission and high-speed camera recording problems were effectively rectified. Moreover, a nonstandard calibration was added into the PIV flow field measurement system. Then, we established an inverse three-dimensional (3D) distortion coordinate system and obtained the corresponding coordinates by using optics calculations. Further, the PIV system spatial mapping was corrected, and the real flow field was obtained. The simulation results were highly consistent with the experimental data, which showed the methods established in this study provided a strong reference for obtaining the detailed flow field information between the main hull and demi-hull of trimarans.
Sandine: a catharanthus‐derived alkaloid

Sandine, C21H22N2O3, which is a naturally occurring biologically active product derived from plants, is important as a possible starting material for the syntheses of valuable pharmaceuticals. The sandine framework consists of two five- and three six-membered condensed rings. One of the six-membered rings adopts a screw-boat conformation, one adopts an envelope conformation and the third is planar. Both five-membered rings have envelope structures. Mol­ecules are linked into dimers by N—H⋯O hydrogen bonds. The asymmetric unit contains two mol­ecules.
Social-Media Analysis for Disaster Prevention: Forest Fire in Artenara and Valleseco, Canary Islands

This manuscript investigates the use of social media, specifically Twitter, during the forest fires in Artenara and Valleseco, Canary Islands, Spain, during summer 2019. The used methodology was big-data analysis through the Union Metrics and Twlets tools, as well as content analysis of posts related to the fires written by seven relevant accounts on the days when the fires were active, which was between 17 August and 26 September, when 9636.40 hectares were burned. The accounts selected for analysis were the following: Ángel Víctor Torres, autonomous president; Canary Islands Government; Civil Protection of Las Palmas; Military Emergency Unit of the Spanish Army; Delegation of the Spanish Government in the Canary Islands; Citizen’s Service of the Canary Islands Government; and the information account of the Security and Emergency area of the Canary Islands Government. The study concludes that the Canary Islands authorities did not use social media as a preventive element, but almost exclusively as a live-information channel. Future recommendations are presented for the management of social media during natural disasters.
High Temperature Solar Furnace: Current Applications and Future Potential

The high temperature solar furnace can offer great opportunities for the production of many types of products worldwide, but recent advances in this technology have been limited to metal reduction. The production of semiconductors, which are utilized to a great extent in the electronic industry, is a viable option for this technology that has been overlooked. Especially where sand and sunlight are plentiful (countries that surround the equator), silicon chips produced with a solar furnace can have great economical value. This paper describes current and potential solar furnace technologies. The components of the solar furnace are described, as well as metal reduction processes including zinc and aluminum production. The viability of silicon chip production is also examined. The possibilities for other product development using an extremely (up to 10,000°C) high temperature solar furnace are also discussed. Economically, the benefits of solar furnaces are great, with only high initial start-up costs and little operation costs. Metal reduction processes can also be enhanced with high temperature solar furnaces in that plugging problems are eliminated. By replacing conventional furnaces, such as blast and electric arc furnaces, with a high temperature solar furnace, CO2 emissions and energy consumption can be greatly reduced, which will bring in added dividends to the society.
Assessment of Extremes in Global Precipitation Products: How Reliable Are They?

Global gridded precipitation products have proven essential for many applications ranging from hydrological modeling and climate model validation to natural hazard risk assessment. They provide a global picture of how precipitation varies across time and space, specifically in regions where ground-based observations are scarce. While the application of global precipitation products has become widespread, there is limited knowledge on how well these products represent the magnitude and frequency of extreme precipitation—the key features in triggering flood hazards. Here, five global precipitation datasets (MSWEP, CFSR, CPC, PERSIANN-CDR, and WFDEI) are compared to each other and to surface observations. The spatial variability of relatively high precipitation events (tail heaviness) and the resulting discrepancy among datasets in the predicted precipitation return levels were evaluated for the time period 1979–2017. The analysis shows that 1) these products do not provide a consistent representation of the behavior of extremes as quantified by the tail heaviness, 2) there is strong spatial variability in the tail index, 3) the spatial patterns of the tail heaviness generally match the Köppen–Geiger climate classification, and 4) the predicted return levels for 100 and 1000 years differ significantly among the gridded products. More generally, our findings reveal shortcomings of global precipitation products in representing extremes and highlight that there is no single global product that performs best for all regions and climates.
The Determination of Non-covalent Complexes of Diclofenac Sodium and Cyclodextrins by Electrospray Ionization/Time-of-Flight Mass Spectrometry

Abstract The formation of the gas-phase non-covalent complexes of diclofenac sodium with cyclodextrins (CDs) was studied by electrospray ionization/time-of-flight mass spectrometry (ESI/TOFMS). The continuous variation method was utilized to elucidate the stoichiometry. Mass spectrums revealed the stoichiometric ratios of complexes with 1:1, 2:1, 3:1 and 1:2 (β-cyclodextrin:diclofenac sodium) in deionized water or ethanol. The influence of cavity size of CD and the pH values of solution on the mixture system were investigated in detail. Only one complex peak was observed in α-CD, which is different from β- and γ-CD. These results demonstrated that ESI/TOFMS is a complementary technique for study of the non-covalent complex.
Synergistic Anticancer Effect of Gemcitabine Combined With Impressic Acid or Acankoreanogein in Panc-1 Cells by Inhibiting NF-κB and Stat 3 Activation

Natural products have presented potentiality to improve the outcomes of cancer therapies. Impressic acid (E12-1) and acankoreanogein (E13-1), important activity compounds in Acanthopanax trifoliatus (L.) Merr. , show widely biological activities. In this study, we isolated E12-1 and E13-1 from Acanthopanax trifoliatus (L.) Merr. , and investigated their improvement effect in gemcitabine (GEM) treatment in Panc-1 cells. The results showed that GEM in combination with E12-1 or E13-1 showed stronger inhibition on the growth and induction of apoptosis in Panc-1 cells compared to GEM, E12-1, or E13-1 alone. GEM in combination with E12-1or E13-1 also strongly inhibited cell migration. Mechanistic investigation showed that GEM in combination with E12-1or E13-1 effectively inhibited the activition of nuclear factor kappa-light-chain-enhancer of activated B cells and Stat 3. Overall, GEM in combination with E12-1 or E13-1 might be an effective strategy for the prevention of prostate cancer.
Dynamic analysis and decoupled control of a heavy-duty walking robot with flexible feet based on super twisting algorithm

In this paper, the dynamics and control strategies of a biped robot with 6-DOF parallel leg mechanism are studied. Firstly, the multi-body kinematic model and dynamic model of the robot are established. Secondly, the insufficient stiffness of robot’s feet and the coupling effect between the kinematic chains are considered in dynamics modeling, and the rigid-flexible coupling model is established by using ADAMS and finite element method. Finally, aiming at the position deviation and system vibration caused by the flexible foot, a strategy based on the combination of a computed torque controller (CTC) and a second-order sliding-mode super twisting algorithm (STA) is designed. At the same time, the control strategy based on CTC and PID and the control strategy based on CTC and sliding mode control (SMC) are designed to compare with CTC-STA. The results show that CTC-STA has faster regulation ability and stronger robustness than CTC-SMC and CTC-PID.
Assessment of Antioxidant Contents and Free Radical-Scavenging Capacity of Chlorella vulgaris Cultivated in Low Cost Media

The current study assessed antioxidants contents (total phenolics and total flavanoids, β-carotene and lycopene) present in Chlorella vulgaris (C. vulgaris) cultivated in low cost media and their free radical scavenging activities. Microalgae was cultured using Bold basal medium (BBM) as a control, 5% banana stem compost (BCM) and aquaculture wastewater supplemented with 1.0 g/L NPK (ANM). The free radical scavenging ability was analysed using 1,1-diphenyl -2-picrylhydrazyl assay. Cells grown on BCM resulted in higher (13.73 ± 0.121%) extraction yield than in other media. The phenolic (8.53 ± 0.10 mg/g GAE) and lycopene (0.29 ± 0.008 mg/g) content were highest in cells grown on BCM and BBM, respectively. Microalgae cultured in ANM displayed higher (547.023 ± 34.703 mg/g RE) flavanoid and β-carotene (2.887 ± 0.121 mg/g) content than in other media. Furthermore, cells cultivated in BCM showed highest (97.87 ± 0.088%) scavenging activity than in BBM. These results indicated that the BCM and ANM can be used as alternative to expensive synthetic media for antioxidant production in C. vulgaris.
Sports team performance and revenue of out-of-stadium vending operations

ABSTRACT Using a novel data set on daily sales revenue, we examine how the Baltimore Orioles’ performance affects a street vendor operating outside Oriole Park at Camden Yards. While fans respond positively to good team performance throughout the season, a win for the home team generally means lower revenue for the vendors outside the stadium. We find that economic benefits accruing to street vendors – and by extension to nearby hotels, restaurants, and bars – may only be maximized when the sports teams are bad, but not that bad.
Nanosecond surface discharge study by using Dust figure techniques

The developing mechanisms of the positive and negative corona streamers on the insulation surface have been studied by using the Dust figure technique together with a line pulser. The present method has the advantage of measuring the velocity of corona discharge development and the discharge mechanism, because the distributions of the positive and negative charges in the discharge figure can be colorfully separated and recorded. By applying shorter time pulses from 10‐ to 920‐nsec duration to a needle point where a glass plate is sandwiched in between the needle and plate electrodes, the diameter of the recorded discharge and the charge quantities and their distributions against the pulse duration were obtained. The observed average velocities of the developing corona streamers at a voltage of 12.0 kV were 2.05×108 cm/sec in the positive and 0.63×108 cm/sec in the negative, respectively. Moreover, when the negative pulse voltage was applied to the needle point the formation time lag of the cathode fall wa.
Electricity-structure-fluid coupled modelling and experiment of underwater flexible structure with partially distributed macro fiber composites

Dynamic oscillating behavior of the flexible structure immerged in viscous fluids has attracted growing attention and been widely used in various practical applications. A general electricity-structure-fluid coupled model for the forced dynamic responses of a cantilever immersed in fluids, with partially distributed macro fiber composite, is proposed in this paper. Based on the classical Euler–Bernoulli beam theory, the first mass-normalized mode shape of the cantilever with partially bonded macro fiber composite is determined using assumed mode method. The attachment of the macro fiber composite actuators stiffens the macro fiber composite-bonded portion of the cantilever. The established mode shape matches perfectly with experimental results. Considering the macro fiber composite actuator as a set of representative elements connected in parallel, the internally actuation moment provided by the macro fiber composite actuators is obtained. The hydrodynamic load caused by the surrounding fluids, decomposed into the added mass and hydrodynamic damping parts, is also added to the theoretical model in the frequency-domain form. The predicted in-air and underwater dynamic behaviors of the flexible beam are consistent with the experimental results at different auction levels. Thus, the obtained general electricity-structure-fluid coupled model can be used to predict the forced dynamic responses of flexible structure with partially bonded actuators immersed in fluids.
A Semantic Segmentation Method for Dam Leakage Detection Based on FCN

Leakage is an important factor affecting the safety of the dam. In the past, manual inspection is a significant way to monitor leakage risk. However, it is time-consuming, inefficient and difficult to quantitative evaluate such as the leakage area. A semantic segmentation method based on the fully convolutional network is proposed to replace the manual inspection for the dam leakage automatic detection. Thirty-eight high-resolution images of dam leakage are collected. FCN-8s and VGG16 backbone are adopted. The results indicated that the FCN-8s achieves the mIoU to 0.59 on the test set, which proves to be an efficient way to detect the dam leakage.
Applicability of the Fractal FHH Equation

The current work deals with the applicability of the fractal version of the Frenkel−Halsey−Hill (FHH) theory of multilayer adsorption. The concept of the standard isotherm is introduced to examine the weakness of this equation when the solid−gas potential controls the adsorption process of gas on a given solid. The results of the determination of the fractal dimension of typical samples of carbon blacks, activated carbon, and aerogels (mixed SiO2−ZrO2 and pure silica) are given. They show that the fractal dimension depends critically of the coverage exponent s for a flat surface of the same chemical nature.
Study of isotope effects in benzene dimers in a seeded supersonic jet

Etude des effets isotopiques sur des dimeres du benzene en melange dans un jet supersonique, a partir de spectres d'excitation et de spectres de masse multiphotoniques. Mise en evidence de la localisation dans le complexe de l'excitation electronique, et d'informations nouvelles sur les interactions moleculaires
Wavelet Transform-Statistical Time Features-Based Methodology for Epileptic Seizure Prediction Using Electrocardiogram Signals

Epilepsy is a brain disorder that affects about 50 million persons around the world and is characterized by generating recurrent seizures, which can put patients in permanent because of falls, drowning, burns, and prolonged seizures that they can suffer. Hence, it is of vital importance to propose a methodology with the capability of predicting a seizure with several minutes before the onset, allowing that the patients take their precautions against injuries. In this regard, a methodology based on the wavelet packet transform (WPT), statistical time features (STFs), and a decision tree classifier (DTC) for predicting an epileptic seizure using electrocardiogram (ECG) signals is presented. Seventeen STFs were analyzed to measure changes in the properties of ECG signals and find characteristics capable of differentiating between healthy and 15 min prior to seizure signals. The effectiveness of the proposed methodology for predicting an epileptic event is demonstrated using a database of seven patients with 10 epileptic seizures, which was provided by the Massachusetts Institute of Technology–Beth Israel Hospital (MIT–BIH). The results show that the proposed methodology is capable of predicting an epileptic seizure 15 min before with an accuracy of 100%. Our results suggest that the use of STFs at frequency bands related to heart activity to find parameters for the prediction of epileptic seizures is suitable.