Miracle-dz/UniFAR-FTUs huggingface dataset:
Decoupling of urban CO2 and air pollutant emission reductions during the European SARS-CoV-2 lockdown

Abstract. Lockdown and the associated massive reduction in people's mobility imposed by SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) mitigation measures across the globe provide a unique sensitivity experiment to investigate impacts on carbon and air pollution emissions. We present an integrated observational analysis based on long-term in situ multispecies eddy flux measurements, allowing for quantifying near-real-time changes of urban surface emissions for key air quality and climate tracers. During the first European SARS-CoV-2 wave we find that the emission reduction of classic air pollutants decoupled from CO2 and was significantly larger. These differences can only be rationalized by the different nature of urban combustion sources and point towards a systematic bias of extrapolated urban NOx emissions in state-of-the-art emission models. The analysis suggests that European policies, shifting residential, public, and commercial energy demand towards cleaner combustion, have helped to improve air quality more than expected and that the urban NOx flux remains to be dominated (e.g., >90 % ) by traffic.
Analysis on three phase cascaded H-bridge multilevel inverter based on sinusoidal and third harmonic injected pulse width modulation via level shifted and phase shifted modulation technique

This work proposes a comparative analysis of sinusoidal and third harmonic injected reference signal modulation accompany with level-shifted PWM technique named as phase disposition (LSPD), phase opposition disposition (LSPOD), and alternate phase opposition disposition (LSAPOD) and phase-shifted PWM technique. Switching pulses from both reference signal and PWM technique have been fed into three phase eleven level cascaded H-bridge multilevel inverter (CHBMLI) fed on a resistive-inductive load with the modulation depth (MD) set to varied from 80% to 100%. For voltage source inverter, total harmonic distortion (THD) content is critical and must be within the allowable range. To prove the feasibility of the reference signal with carrier signal schemes, the entire simulation of the modulation techniques is established and conducted via the Simulink environment. According to the analyzed result, the performance is acceptable in terms of %THDV and %THDI values. Simulation analysis also indicates, at full modulation depth, due to higher fundamental output voltage component produces via the THIPWM modulation technique compared to the SPWM technique, this causes higher %THDV value.
Characterizing Black Carbon and Gaseous Pollutants on the Yangtze River Across Eastern China Continent

The Yangtze River (YR) region and cities along the river have severe deterioration of air quality due to urbanization and economic development. Black carbon (BC) has significant impacts on air quality and climate, however it is poorly characterized across the region. Here we report the first continuous measurements of BC and gaseous pollutants along the YR in wintertime, with an intensive observation period from November 21 to December 4, 2015, covering ∼7° longitude over the continent in China. The highly polluted periods (HPP) with NOx >80 μg m−3 indicated more localized emissions. At the western (longitude <118°E) and eastern (longitude >118°E) ends of the YR valley, the HPP events reduced, mostly since the western end was influenced by terrain height and regional transport, and the eastern end was influenced by easterly oceanic or westerly continental air masses. In these regions, BC core size decreased by 5%–19% during the HPP, and had modes of mass median diameter in the range 120 –180 nm, which was found to be predominately from local sources, contrasting with a more consistent mode ∼200 nm that was due to BC from mixed sources. A comparison of simultaneously measured data from the nearby monitoring stations along the river demonstrated a high consistency of PM2.5 over the river, which reflected the important regional impact on the particulate mass. This study evaluates the shipping emission and regional influence over the YR and may guide the policy maker on mitigating air pollution.
Undergraduates entrepreneurial intention: Holistic determinants matter

The role of entrepreneurship in job creation and unemployment reduction is well established by prior studies. Hence, one of the ways to address the unemployment issue among young graduates in Malaysia is to explore how entrepreneurial intention could be embraced into the broader context of the country's education system. Empirical research found that prior studies on entrepreneurship education in Malaysia tends to focus on reviewing educational policies, issue and challenges. The concept of the entrepreneurial intention determinants beyond entrepreneurial education remains ambiguous. Hence, this study advances the discussion in entrepreneurship education by reviewing determinants for entrepreneurial intention from holistic perspective by integrating Model of Personality Traits and the theory of planned behavior (TPB). Five determinants for entrepreneurial intention are identified from literature review, which are entrepreneurship attitude, subjective norm, behavior control, entrepreneurship education and personality traits. The study is quantitative based, 360 questionnaires were distributed to the undergraduates from three faculties of a public university in Malaysia, with 199 responded. Data was analyzed via Pearson correlation and ANOVA analysis. Finding from the study suggested all the five entrepreneurial determinants are significantly correlated with entrepreneurial intention, and there is no significant difference on entrepreneurial intention based on faculty. However, one of the remarkable finding is Entrepreneurship Education is viewed as determinant with the lowest correlation coefficient with entrepreneurial intention. The implication of this finding is perhaps the content of entrepreneurial education shall emphasize on cultivating students’ entrepreneurial attitude, behavioral and personality rather than the theoretical part of entrepreneurial and entrepreneurship.
Are Dawn Storms Jupiter's Auroral Substorms?

Dawn storms are among the brightest events in the Jovian aurorae. Up to now, they had only been observed from Earth‐based observatories, only showing the Sun‐facing side of the planet. Here, we show for the first time global views of the phenomenon, from its initiation to its end and from the nightside of the aurora onto the dayside. Based on Juno's first 20 orbits, some patterns now emerge. Small short‐lived spots are often seen a couple of hours before the main emission starts to brighten and evolve from a straight arc to a more irregular one in the midnight sector. As the whole feature rotates dawn‐ward, the arc then separates into two arcs with a central initially void region that is progressively filled with emissions. A gap in longitude then often forms before the whole feature dims. Finally, it transforms into an equatorward‐moving patch of auroral emissions associated with plasma injection signatures. Some dawn storms remain weak and never fully develop. We also found cases of successive dawn storms within a few hours. Dawn storms thus share many fundamental features with the auroral signatures of the substorms at Earth, despite the substantial differences between the dynamics of the magnetosphere at the two planets.
The impact of Covid-19 on G7 stock markets volatility: Evidence from a ST-HAR model

We investigate the impact of Covid-19 on stock markets across G7 countries and their business sectors. We highlight the synchronicity and severity of this unprecedented crisis. We find strong transition evidence to a crisis regime in all countries and sectors, yet crisis intensity and timings vary. The Health Care and Consumer services sectors were the most severely affected; a reflection of the Covid-19 drug-race and international travel restrictions. The Technology sector was hit the latest and least severely, as imposed lockdown measures forced people to explore various web-based entertainment and distraction options. Country-wise the UK and the US were the most affected with the highest heterogeneity in their business sectors' response; a possible reflection of the ambiguity in the initial response and adoption of lockdown measures. Financial markets' response to Covid-19 is akin to response in previous financial crisis rather than previous pandemics. A series of robustness checks confirms our findings.
PMIP4 experiments using MIROC-ES2L Earth system model

Abstract. Following the protocol of the fourth phase of the Paleoclimate Modelling Intercomparison Project (PMIP4), we performed numerical experiments targeting distinctive past time periods using the Model for Interdisciplinary Research on Climate, Earth System version 2 for Long-term simulations (MIROC-ES2L), which is an Earth system model. Setup and basic performance of the experiments are presented. The Last Glacial Maximum was one of the most extreme climate states during the Quaternary and conducting numerical modeling experiments of this period has long been a challenge for the paleoclimate community. We conducted a Last Glacial Maximum experiment with a long spin-up of nearly 9000 years. Globally, there was reasonable agreement between the anomalies relative to the present day derived from model climatology and those derived from proxy data archives, while some regional discrepancies remained. By changing orbital and greenhouse gas forcings, we conducted experiments for two interglacial periods: 6000 and 127 000 years before present. Model anomalies relative to the present day were qualitatively consistent with variations in solar forcing. However, anomalies in the model were smaller than those derived from proxy data archives, suggesting that processes that play a role in past interglacial climates remain lacking in this state-of-the-art model. We conducted transient simulations from 850 to 1850 CE and from 1850 to 2014 CE. Cooling in the model indicated a clear response to huge volcanic eruptions, consistent with paleo-proxy data. The contrast between cooling during the Little Ice Age and warming during the 20th to 21st centuries was represented well at the multidecadal timescale.
Global Waves of Debt: Causes and Consequences

ADVANCE EDITION OF BOOK EXPECTED IN 2020. The global economy has experienced four waves of debt accumulation over the past fifty years. The first three debt waves ended with financial crises in many emerging and developing economies. The latest, since 2010, has already witnessed the largest, fastest and most broad-based increase in debt in these economies. Their total debt has risen by 54 percentage points of GDP to a historic peak of almost 170 percent of GDP in 2018. Current low interest rates mitigate some of the risks associated with high debt. However, emerging and developing economies are also confronted by weak growth prospects, mounting vulnerabilities, and elevated global risks. A menu of policy options is available to reduce the likelihood of the current debt wave ending in crisis and, if crises were to take place, alleviate their impact. To shed light on the implications of the rapid debt accumulation, Global Waves of Debt presents the first in-depth analysis of the main features of global and national debt accumulation episodes, analyzes the linkages between debt accumulation and financial crises, and draws policy lessons.
The Temperature Role in the Manufacturing of an Electrode for Supercapacitors with Carbon Black and Graphene Oxide

Supercapacitors (SCs) are energy storage devices with a growing interest thanks to their high-power charge and discharge process and long-cycle life. Their main drawback, when compared to more common devices such as batteries, consists in a low energy density. The performances of SCs can however be improved with the coupling of additives to the main active material, which usually is an Activated Carbon. The most common additive is instead Carbon Black (CB), while more recently also Graphene-derived materials have been successfully exploited for this purpose, as the reduced Graphene Oxide (rGO). However, besides raw materials choice, details related to the manufacturing have a leading importance in the attempt to obtain novel active materials with an industrial-ready process which also looks toward the needs of more environmental friendly and economically convenient solutions. In this work, a physical-chemical analysis is performed to show temperature effects on CB, GO and on a CB/GO water-based slurry with helpful results about GO reduction and CB/GO nanocomposite formation.
Benchmarking an operational hydrological model for providing seasonal forecasts in Sweden

Abstract. Probabilistic seasonal forecasts are important for many water-intensive activities requiring long-term planning. Among the different techniques used for seasonal forecasting, the ensemble streamflow prediction (ESP) approach has long been employed due to the singular dependence on past meteorological records. The Swedish Meteorological and Hydrological Institute is currently extending the use of long-range forecasts within its operational warning service, which requires a thorough analysis of the suitability and applicability of different methods with the national S-HYPE hydrological model. To this end, we aim to evaluate the skill of ESP forecasts over 39 493 catchments in Sweden, understand their spatio-temporal patterns, and explore the main hydrological processes driving forecast skill. We found that ESP forecasts are generally skilful for most of the country up to 3 months into the future but that large spatio-temporal variations exist. Forecasts are most skilful during the winter months in northern Sweden, except for the highly regulated hydropower-producing rivers. The relationships between forecast skill and 15 different hydrological signatures show that forecasts are most skilful for slow-reacting, baseflow-dominated catchments and least skilful for flashy catchments. Finally, we show that forecast skill patterns can be spatially clustered in seven unique regions with similar hydrological behaviour. Overall, these results contribute to identifying in which areas and seasons and how long into the future ESP hydrological forecasts provide an added value, not only for the national forecasting and warning service, but also, most importantly, for guiding decision-making in critical services such as hydropower management and risk reduction.
Employment Protection and FDI Revisited: New Evidence from Micro Data

We use micro data on affiliates to Swedish multinational firms (MNEs) to explore the impact of more stringent employment protection legislation (EPL) on foreign direct investment (FDI). We add to the previous literature by exploring the impact of EPL on the extensive as well as intensive margin, and by distinguishing the impact on different types of affiliates. We find that employment and exports in exporting affiliates decline with EPL, and MNEs establish fewer exporting affiliates. In contrast, employment and sales rise with EPL in purely “horizontal” affiliates. We discuss possible mechanisms explaining this sharp asymmetry.
Comparative analysis of the complete chloroplast genome of seven Nymphaea species

Background: Although there has been a long history of cultivation and research on Nymphaea, the taxonomic relationships and evolutionary relationships among Nymphaea species remain controversial. The chloroplast (cp) genome can provide a new method to determine species origin, evolution, and phylogenetic relationships of Nymphaea. However, there are few studies on the cp genomes of Nymphaea, and the data of their genomes are very scarce. The complete cp genomes of seven Nymphaea species were sequenced by high-throughput sequencing technology, and the structural characteristics and phylogenetic relationships of cp genomes were analyzed.Results: A total of 126–129 genes were annotated in seven Nymphaea species, including 81–84 protein coding genes, eight rRNA, and 37 tRNA genes. A comparative cp genomic analysis of seven Nymphaea species showed that the cp gene sequence of Nymphaea was consistent, with no signs of reverse rearrangement. The codons preferentially ended with A/U. The cp genomes of seven Nymphaea species contained 147–168 dispersed repeats with a length of 15–19 bp and 979 simple sequence repeats (SSRs). Using N. colorata as the reference sequence, a total of 8,328 single nucleotide polymorphisms (SNPs) and 1,579 insertions/deletions were obtained. The degree of variation of the cp genome of the seven Nymphaea species in rpoA–rpl20, rbcL–ndhC, ndhD–ndhF, and trnN-GUU–ndhA regions is relatively high; related regions can be used as potential molecular markers for population genetics research. KaKs analysis showed that the ycf2 gene was positively selected. The results of the phylogenetic analysis showed that the genus Nymphaea can be divided into five branches: subgenus Nymphaea, subgenus Hydrocallis, subgenus Lotos, subgenus Anecphya, and subgenus Brachyceras. Conclusions: The cp genome of Nymphaea is very conservative in structure and composition, but it has rich variation in LSC and SSC regions. The phylogenetic analysis showed that Nymphaea could be further divided into five subgenera, and Euryale and Victoria were most closely related to Nymphaea. This study provided insight on the structure and composition of the cp genome of Nymphaea. Moreover, our results have provided more sequence information and genome resources for follow-up studies on Nymphaea.
INFLUENCE OF SOIL PROPERTIES ON INTERACTIONS OF PESTICIDES WITH SOILS

Freundlich equation has been u~ed to characterise the adsorption or metacld (methyl parathion) and ~umithlon (fenitrothion) on ~oil~ (untreated) and ~oU• free or organic matter (O.M.) and •e~quioxide~. Stepwise multiple regre~~ion analy•is •bows that organic maUer and Fe 10 3 content of untreated so Us largely (99.9'1"o) control ad•orption ( K value) of metacld whUe the organic matter, Al 10, and clay content account mainly (99.4%) adsorption (K value) of~umithlon. Among the other ~oil properties, •pecific surface area i• found to contribute 'lgnif'JCBntly in variation of adsorption ofmetacid and •umithlon by untreated and treated soils. The adsorption ofpe•ticid~ is temperature-dependent and exothermic in nature. Evaluation of thermodynamic parameter• Indicate~ the physical nature of ad•orp tion. The irrevenible nature of adsorption i' revealed from de•orption study and shows hystere•is. Percent de•orption valne•lndicatc an invene relation with organic matter content of the ~ous (untreated).
Intentional and unintentional non-adherence to social distancing measures during COVID-19: A mixed-methods analysis

Social distancing measures implemented by governments worldwide during the COVID-19 pandemic have proven an effective intervention to control the transmission of SARS-CoV-2. There is a growing literature on predictors of adherence behaviours to social distancing measures, however, there are no comprehensive insights into the nature and types of non-adherence behaviours. To address this gap in the literature, we studied non-adherence in terms of counts of infringements and people's accounts on their behaviours in a representative sample of North London residents. We focused on the following social distancing rules: keeping 2 mts. distancing, meeting family and friends, and going out for non-essential reasons. A mixed-methods explanatory sequential design was used comprising an online survey (1st - 31st May 2020) followed by semi-structured in-depth interviews held with a purposive sample of survey respondents (5th August - 21st September 2020). A negative binomial regression model (quantitative) and Framework Analysis (qualitative) were undertaken. 681 individuals completed the survey, and 30 individuals were interviewed. We integrated survey and interview findings following three levels of the Social Ecological model: individual, interpersonal and community levels. We identified non-adherence behaviours as unintentional (barriers beyond individual's control) and intentional (deliberate decision). Unintentional adherence was associated with and reported as emotional inability to stay at home, lack of controllability in keeping 2 mts. distancing, social responsibility towards the community and feeling low risk. Intentional non-adherence included individual risk assessment and decision-making on the extent to following the rules, support from friends, and perceived lack of adherence in the local area. Our findings indicate that unintentional and intentional non-adherence should be improved by Government partnerships with local communities to build trust in social distancing measures; tailored messaging to young adults emphasising the need of protecting others whilst clarifying the risk of transmission; and ensuring COVID-secured environments by working with environmental health officers.
Experimentally Validated CFD Model for Gas-Liquid Flow in a Round-Bottom Stirred Tank Equipped with Rushton Turbine

Abstract Hydrodynamics of gas-liquid flow in a round-bottom stirred tank is modelled at two gas flow rates, constant bubble size and agitator speed of 300 rpm. A round-bottom tank equipped with four baffles and a Rushton turbine was chosen to represent a typical reactor used in hydrometallurgical processes operating under pressure. The applicability of different momentum interchange models and the Realizable k-ε, SST k-ω, and RSM turbulence models was studied using CFD software. The results were compared and validated against experimental data from Particle Image Velocimetry measurements by means of liquid and gas velocity distributions. In addition, energy balance between power input and dissipation energy was compared for the different turbulence models. The CFD model was found to be in good agreement with the measurements. Of the turbulence models studied, the Realizable k-ε model showed best agreement with the measured velocity profiles. Popular drag force models proposed in the literature were assessed, as was the influence of inclusion of non-drag forces. Gas flow was found to affect the liquid phase flow in the tank by generating an additional secondary circulation loop in the upper part of the reactor.
Quantitative nuclear DNA content and cell cycle analysis of a mixotrophic dinoflagellate by image cytometry

The goal of this work was to develop and demonstrate the utility of microscope‐based image cytometry (ICM) as a method for quantifying nuclear DNA content and cell cycle phase distribution in microalgae both in culture and in natural blooms, as an alternative to flow cytometry (FCM). To do so, aliquots from the same samples of the dinoflagellate Karlodinium veneficum were examined using both ICM and FCM. ICM specimen preparation and data acquisition methods were optimized to improve precision and agreement between the two techniques. Accuracy and precision of DNA measurements by ICM were significantly higher using the DNA fluorophore DAPI compared to SYBR® Green I. Milli‐Q H2O was found to be superior to Tris‐EDTA as a staining and slide preparation solution for ICM analyses. Lower‐powered objective magnification (10x, 20x) in image acquisition for ICM produced higher precision in nuclear DNA measurements. Overall precision of ICM analysis of DAPI‐stained K. veneficum cells was comparable to FCM, with respective 1C DNA peak coefficients of variation as low as 6.2%. Cell cycle distributions of mid‐log culture samples analyzed by both ICM and FCM were in agreement (two‐way ANOVA; p = 0.93); while distributions analyzed in a field sample were similar but not identical (Z‐test; p < 0.001). Overall, the results show the feasibility of ICM as a useful tool for microalgal cell cycle analysis, with the potential for more flexible application to mixotrophic/phagotrophic species and complex field populations.