Miracle-dz/UniFAR-FTUs huggingface dataset:
Implementation of a parallel high-order WENO-type Euler equation solver using a CUDA PTX paradigm

This study proposes the optimization of a low-level assembly code to reconstruct the flux for a splitting flux Harten–Lax–van Leer (SHLL) scheme on high-end graphic processing units. The proposed solver is implemented using the weighted essentially non-oscillatory reconstruction method to simulate compressible gas flows that are derived using an unsteady Euler equation. Instructions in the low-level assembly code, i.e. parallel thread execution and instruction set architecture in compute unified device architecture (CUDA), are used to optimize the CUDA kernel for the flux reconstruction method. The flux reconstruction method is a fifth-order one that is used to process the high-resolution intercell flux for achieving a highly localized scheme, such as the high-order implementation of SHLL scheme. Many benchmarking test cases including shock-tube and four-shock problems are demonstrated and compared. The results show that the reconstruction method is computationally very intensive and can achieve excellent performance up to 5183 GFLOP/s, ∼66% of peak performance of NVIDIA V100, using the low-level CUDA assembly code. The computational efficiency is twice the value as compared with the previous studies. The CUDA assembly code reduces 26.7% calculation and increases 37.5% bandwidth. The results show that the optimal kernel reaches up to 990 GB/s for the bandwidth. The overall efficiency of bandwidth and computation performance achieves 127% of the predicted performance based on the HBM2-memory roofline model estimated by Empirical Roofline Tool.
Sustainable Initiatives in Sports Organizations—Analysis of a Group of Stakeholders in Pandemic Times

This study explores the importance of environmentally sustainable initiatives in sport (ESIS) for stakeholders in pandemic times. Three topics—climate changes and energy consumption, environmental impact of sports events, and health and well-being—were considered and analysed under three sustainability forms: organisational, community, and individual. A total of 5917 stakeholders (sponsors, employees, and members) of a sports organization realised one online survey. The data gathering process occurred during pandemic times, when every kind of collective sport event was suspended to the general public. The descriptive analysis of the results is provided, and the findings reveal that health and well-being is the most valorised topic by members and employees, in a sustainable individual form. On the other hand, sponsors manifest their interest mainly in a sustainability organisational and community forms.
FPGA Hardware in the Loop Validation of Torque and Flux Estimators for Direct Torque Control (DTC) of an Induction Motor (IM)

: This article provides a hardware implementation of torque and flux estimators for direct torque control (DTC) of an induction motor (IM) on the Field Programmable Gate Array (FPGA). Due to its high processing frequency, the FPGA circuit presents an alternative strategy for achieving a high performance DTC implementation. This cannot be achieved by Digital Signal Processing (DSP) or Microcontroller application. Optimized hardware architecture is also proposed for implementation of a complete estimator with explicit determination of all the quantities such as the flux phase, the flux amplitude and the torque amplitude. This work presents a precise hardware estimator of the torque and the flux, it developed with negligible estimation error (0.0002 [Wb] RMS estimate error for the stator flux and 0.0005 [Nm] RMS estimate error the torque), in addition to that this estimator is implemented on the Virtex-4 FPGA board with minimal resources(less 5% of slices registers, 5% of DSP48Es and around 17% of LUTS). This estimator is developed and synthesized independently of the command and can be reused for any task which requires the estimation of these quantities. After this the estimator was used to complete a DTC control in a hardware co-simulation procedure with the Xilinx system generator and MATLAB/SIMULINK tools on the Xilinx ML402 development kit.
Proximate or Primary Source? How Multiple Layers of News Sources on Social Media Predict News Influence

News shared on social media presents multiple layers of sources, from reputable news organizations to individual users who share news on social media. A web-based experiment investigated (a) whether the influence of a primary news source (news organization) on viewers decreases as it becomes less proximate with the presence of a more immediate source (individual user who shared news), and (b) if so, how the evaluations of both sources, along with a varying degree of issue relevance, affect viewers’ agreement with news position. Participants read one news article either shared on Facebook by a well-known celebrity or directly posted onto a news website. The perceived credibility of news organizations predicted viewers’ agreement with the news position, but only when the news was presented on a news web page so that the news organization was shown as the proximate source. When multiple sources were displayed, the influence of news organization credibility disappeared when the given news lacked personal relevance.
Exponential synchronisation of nonlinear multi-agent systems via distributed self-triggered hybrid control with virtual linked agents

In this paper, exponential synchronisation of nonlinear multi-agent systems with K agents by distributed self-triggered hybrid control and virtual link mechanism is investigated. Based on the Lyapunov function and linear matrix inequalities, some synchronisation conditions are provided. Because of using the virtual link, the system can be divided into two subsystems, real link subsystem and virtual link subsystem. They can be synchronised with the desired dynamical behaviours by using the same self-triggered hybrid control. Hence, the original dimension (K) of synchronisation conditions can be reduced to ( round up). Finally, a simulation example is given to demonstrate the performance of the proposed approaches.
Tautomeric Equilibria in Solutions of 2-Phenacylbenzimidazoles

Detailed NMR spectral analysis of DMSO-d6 solutions of the series of substituted 2-phenacylbenzimidazoles (ketimine form, K) reveals two from three tautomeric forms. Integrals of the 1H NMR signals are used in establishing the molar ratio of tautomers. The experimental analyses are supported by quantum-chemical calculations, which satisfactorily reproduced the experimental trends. Although the reported semiempirical quantum-chemical calculations show that enaminone E, i.e., 2-(1,3-dihydro-2H-benzo[d]imidazol-2-ylidene)-1-phenylethan-1-one, was thermodynamically most stable, the results of MP2 ab initio calculations reveal the following order of stability: ketimine > enolimine > enaminone (substituents do not affect this sequence). 13C CPMAS NMR spectral data reveal that in the crystalline state the enolimine tautomer O is predominant in the p-CH3 and p-NO2 substituted congeners.
Delta‐to‐fan source‐to‐sink coupling as a fundamental control on the delivery of coarse clastics to deepwater: Insights from stratigraphic forward modelling

We propose that a more readily studied, secondary source‐to‐sink (S2S) systems can be formed on direct‐fed margins, in which shelf‐edge deltas are ‘sources’ and deep‐water fans are terminal depositional ‘sinks’, with channels working as delivery ‘conduits’ in between. DionisosFlow stratigraphic‐forward model, coupled to seismic and borehole data from middle Miocene Pearl River margin, are used to explore physical and conceptual linkages of delta‐to‐fan S2S systems, with a focus on the predictability of when and how coarse clastics are delivered from the deltas down to the submarine fans. Middle Miocene Pearl River delta‐to‐fan S2S coupling was stratigraphically enacted in three main ways: (a) deltas that lack downdip fans: high sea level or low sediment supply caused coarse clastics to be stored mainly on inner to outer shelf areas; (b) deltas that are linked downdip to fans: coarse clastics were funneled to submarine fans through slope channels, via direct delta‐to‐fan S2S linkages created by delta overreach at shelf break or channels extending back to shelf‐margin prodeltas; (c) fans that lack updip, coeval deltas: coarse shelf clastics were carried laterally by longshore or other shelf currents, but eventually captured by canyon heads, and then delivered directly to the basin floor. Moreover, our DionisosFlow stratigraphic‐forward models suggest that an oscillation in sea‐level behaviour from slowly falling to rapidly falling would result in a within‐system tract surface occurring within the falling‐stage systems tract. This surface is identified as a significant lower‐order unconformity in its proximal reaches and as a correlative conformity distally. Within‐system tract surfaces are identified by a change in shelf‐edge trajectory regimes from flat to slight falling to moderately falling and in architecture from mixed progradation and degradation to dominant degradation. They are coeval with the onset of the deposition of submarine fans linked updip to deltas or lacking updip deltas, highlighting that sandy deposits can be compartmentalized even within a single systems tract.
Synthesis of the Key Fragments of Micrococcin P1 and Thiocillin I

Thiopeptide antibiotics are members of the ribosomally synthesized and posttranslationally modified peptide class of natural products. They contain a unique trisubstituted sixmembered nitrogen ring decorated with azol(in)e heterocycles, dehydroamino acids, and a macrocyclic structure. Thiopeptides act by inhibiting the bacterial ribosome and have demonstrated potent activities against a wide range of Gram-positive pathogens. This work describes the synthesis of the two key fragments used in our total syntheses of micrococcin P1 and thiocillin I. The “bottom” fragments were assembled through modification and coupling of amino acids as well as the use of a molybdenum catalyzed cyclodehydration of cysteine residue to form the unique thiazole which differs from micrococcin P1 and thiocillin I. The “top” fragment was constructed using a C-H activation as the first step, a molybdenum catalyzed cyclodehydration to install the second thiazole, and a Stille/Hantzsch strategy to install the final thiazole heterocycle. The studies that lead to the efficient syntheses of these two fragments
Performance of Linear Generator Designs for Direct Drive Wave Energy Converter under Unidirectional Long-Crested Random Waves

For generating electricity, direct-drive wave energy converters (WECs) with linear permanent magnet generators (LPMGs) have advantages in terms of efficiency, simplicity, and force-to-weight ratio over WEC with rotary generators. However, the converter’s work under approaching-real wave conditions should be investigated. This paper studies the performance of a pico-scale WEC with two different LPMGs under unidirectional long-crested random waves. Different significant wave heights (using data in the Southern Ocean of Yogyakarta, Indonesia) and peak frequencies are tested. The JONSWAP energy spectrum is used to extract the wave elevations, while the MSS toolbox in MATLAB Simulink is employed to solve the floater’s dynamic responses. Next, the translator movements are extracted and combined with the flux distribution from FEMM simulation and analytical calculation, and the output powers are obtained. An experiment is conducted to test the output under constant speed. The results show for both designs, different tested significant wave height values produce higher output powers than peak frequency variation, but there is no specific trend on them. Meanwhile, the peak frequency is inversely proportional to the output power. Elimination of the non-facing events results in increasing output power under both parameters’ variation, with higher significant wave height resulting in a bigger increase. The semi iron-cored LPMG produces lower power loss and higher efficiency.
From production to consumption-oriented development: New planning strategies in science parks? The case of Sophia-Antipolis

Recent works have highlighted the role of consumption in regional development and questioned the focus on production-oriented approaches in regional planning. To date, consumption-oriented strategies have only been studied in specific cases such as rural areas or urban regeneration projects. This article examines the impact of the growth of consumption-oriented activities on local policymaking processes. To do so, it studies the reshaping of local planning strategies in the science park of Sophia-Antipolis in the context of a growing residential economy. We show that local governments are now questioning traditional production-oriented policies as tensions appear between maintaining the area’s high-tech specialization and meeting the demands of residents for services and amenities. However, production- and consumption-oriented strategies should not be seen as being incompatible. Consumption-oriented strategies aim at reducing the dependence on high-tech activities, but they also contribute to meeting some of the science park’s challenges, such as housing shortages. They also help attract and retain highly skilled executives or engineers in the science park. More than a consumption turn, recent local policies in Sophia mark a shift from a technopolitan production-oriented strategy to a hybrid strategy based on tools embedded in a vast continuum from production-oriented to consumption-oriented strategies.
Examining the Impact of Antimicrobial Fluoroquinolones on Human DNA Topoisomerase IIα and IIβ

Fluoroquinolones are a class of widely prescribed antibiotics with a broad range of activity against Gram-positive, Gram-negative, and some atypical microbes. Unfortunately, these drugs are associated with significant adverse events including neuropathy, tendinopathy, cardiac rhythm abnormalities, and mental health side effects. The mechanism by which fluoroquinolones cause many of these toxicities is unknown. The antibacterial mechanism of action involves disruption of the catalytic mechanism of type-II topoisomerases in bacteria, namely topoisomerase IV and DNA gyrase. Fluoroquinolones inhibit the ability of the enzymes to ligate cleaved DNA and result in single- and double-stranded DNA breaks. Thus, there is an interest in investigating whether human topoisomerase II is involved in mediating the adverse events associated with quinolones. Previous studies demonstrate some response of human topoisomerase IIα and IIβ to high levels of ciprofloxacin. However, it is not clear whether the concentration of ciprofloxacin utilized in those studies corresponds to concentrations that would be routinely achievable in patients. Therefore, this study set out to examine three clinically relevant fluoroquinolones along with two older agents to determine whether these compounds display activity against topoisomerase IIα and IIβ at drug concentrations that more closely approximate typical patient plasma values. On the basis of our evidence, none of the quinolones studied were able to poison DNA cleavage by either human enzyme. Ciprofloxacin, desethylene-ciprofloxacin, and the recently removed from market gemifloxacin were able to inhibit topoisomerase II-mediated DNA relaxation at concentrations of 200–300 μM. On the basis of these data, we propose that human topoisomerase II is not likely to be the main cause of these adverse events and that additional targets need to be identified to clarify the mechanisms underlying quinolone toxicities.
Evaluation of the Effectiveness of Multiple Machine Learning Methods in Remote Sensing Quantitative Retrieval of Suspended Matter Concentrations: A Case Study of Nansi Lake in North China

Total suspended matter (TSM) is a core parameter in the quantitative retrieval of ocean color remote sensing and an important indicator for evaluating the quality of the aquatic environment. This study selects part of Nansi Lake in North China as the study area. Researchers used Hyperion remote sensing data and field-measured TSM concentration as data sources. Firstly, the characteristic variables with high correlation were selected based on spectral analysis. Then, seven methods such as linear regression, BP neural network (BP), KNN, random forest (RF), and random forest based on genetic algorithm optimization (GA_RF) are used to construct the inversion model of TSM concentration. The retrieval accuracy of each model shows that the machine learning models are much more accurate than the linear model. Among them, the GA_RF model retrieves the suspended solids concentration with the best performance and the highest prediction accuracy, with a determination coefficient R2 of 0.98, a root mean square error (RMSE) of 1.715 mg/L, and an average relative error (ARE) of 6.83%. Additionally, the spatial distribution of TSM concentration was inversed by Hyperion remote sensing image. The results showed that the concentration of TSM was lower in the northwest and higher in the southeast, and the concentration distribution was uneven, showing the characteristics of a typical shallow macrophytic lake. This study provides an effective method for monitoring TSM concentration and other water quality parameters in the shallow macrophytic lake and further proves the advantages of machine learning in ocean color inversion. All in all, this research provides some useful methods and suggestions for quantitative inversion of TSM concentration in shallow macrophytic lakes.
A Born-WKBJ Pre-Stack Seismic Inversion Based on a 3-D Structural-Geology Model Building

Estimation of subsurface properties by using the scattering integral equation is a method that finds increasing use in near-surface and shallow oil/gas exploration, based on seismic, low-frequency electromagnetic, and surface-radar surveys. The method can accurately simulate physical realizations induced by small-scale perturbations, but its accuracy depends on a suitable low-frequency property model. We propose a 3-D geological-structure-guided model building to provide a reliable low-frequency model and combine it with the Born-Wentzel-Kramers-Brillouin-Jeffreys (WKBJ)-approximation-based inversion algorithm. Instead of the traditional approach based on artificially interpreted horizons, we use 3-D seismic-slope attributes as lateral constraints, which contain more geological information. Plane-wave destruction (PWD) in 3-D is exploited to extract the 2-D slopes along the inline and crossline directions, which are the key factors in computing 3-D slopes. Then, by introducing the shaping regularization, we build low-frequency models by solving the inverse problem. Numerical analysis indicates that an appropriate background model is essential for seismic modeling with the Born-WKBJ approximation. The methodology is applied to synthetic and 3-D field data, and the examples show that it provides reliable background models and improves the inversion performance.
Aerosol properties and their influences on low warm clouds during the Two-Column Aerosol Project

Abstract. Twelve months of measurements collected during the Two-Column Aerosol Project field campaign at Cape Cod, Massachusetts, which started in the summer of 2012, were used to investigate aerosol physical, optical, and chemical properties and their influences on the dependence of cloud development on thermodynamic (i.e., lower tropospheric stability, LTS) conditions. Relationships between aerosol loading and cloud properties under different dominant air-mass conditions and the magnitude of the first indirect effect (FIE), as well as the sensitivity of the FIE to different aerosol compositions, are examined. The seasonal variation in aerosol number concentration (Na) was not consistent with variations in aerosol optical properties (i.e., scattering coefficient, σs, and columnar aerosol optical depth). Organics were found to have a large contribution to small particle sizes. This contribution decreased during the particle growth period. Under low-aerosol-loading conditions, the liquid water path (LWP) and droplet effective radius (DER) significantly increased with increasing LTS, but, under high-aerosol-loading conditions, LWP and DER changed little, indicating that aerosols significantly weakened the dependence of cloud development on LTS. The reduction in LWP and DER from low- to high-aerosol-loading conditions was greater in stable environments, suggesting that clouds under stable conditions are more susceptible to aerosol perturbations than those under more unstable conditions. High aerosol loading weakened the increase in DER as LWP increased and strengthened the increase in cloud optical depth (COD) with increasing LWP, resulting in changes in the interdependence of cloud properties. Under both continental and marine air-mass conditions, high aerosol loading can significantly increase COD and decrease LWP and DER, narrowing their distributions. Magnitudes of the FIE estimated under continental air-mass conditions ranged from 0.07±0.03 to 0.26±0.09 with a mean value of 0.16±0.03 and showed an increasing trend as LWP increased. The calculated FIE values for aerosols with a low fraction of organics are greater than those for aerosols with a high fraction of organics. This implies that clouds over regions dominated by aerosol particles containing mostly inorganics are more susceptible to aerosol perturbations, resulting in larger climate forcing, than clouds over regions dominated by organic aerosol particles.
Spontaneous Formation of Vesicles by N-Alkyl-N-Methylmorpholinium Bromide and Sodium Dodecyl Sulfate (SDS)

The formation of vesicles, composed of N-alkyl-N-methylmorpholinium bromide ([Mor1,12]Br) and sodium dodecyl sulfate (SDS), is investigated. The phase diagram of the mixed surfactant aqueous solutions is determined through visual observation and electrical conductivity measurements. The formation of vesicles is confirmed in the lamellar phase (Lα) through Cryo-TEM. The irregular shape of vesicles is observed successfully in micrographs. Moreover, the rheological properties, size distribution and zeta potential in different mole ratio are studied. The behavior of the vesicle solution matches Bingham fluid in rheological tests. With the mole ratio r increases, the average size increases while the zeta-potential value decreases. Electrostatic and hydrophobic interactions are regarded as the main driving forces for the formation of vesicles.
Evaluating the Role of Ultrasonication-Assisted Alkali Pretreatment and Enzymatic Hydrolysis on Cellwall Polysaccharides of Pennisetum
 Grass Varieties as Potential Biofuel Feedstock

Production of renewable fuel like bioethanol from plant biomass and agro wastes will be the future energy source to combat the depletion of fossil fuels. The first detailed profile of the non-cellulosic cell wall polysaccharides of native, ultrasonication assisted alkaline (NaOH) pre-treated and enzyme hydrolysed Pennesitum grass varieties viz. hybrid Napier grass and denanath grass, were identified using glycome profiling. The best pre-treatment conditions resulted in 89.3% and 86.7% delignification of denanath grass (DG) and hybrid Napier grass (HNG) respectively. In the same conditions, 227.2 mg/g and 242.8 mg/g of total reducing sugar was achieved for DG and HNG respectively. Comparative assessment of a new enzyme i. e. Palkonal MBW with the conventional combination of Celluclast 1.5 L+ xylanase was undertaken. The amounts of glucose and xylose released with Palkonal MBW saccharified DG and HNG were 662.0 mg/g and 431.2 mg/g, which were significantly higher as compared to the conventional enzyme cocktail. The glycome profiling results showed that pectic arabinoxylan and arabinogalactan backbones were significantly less in DG samples and they do play a major role in enhancing enzymatic hydrolysis. These reports can provide a good insight in designing potential perennial feedstocks for bioethanol production in bio refinery concepts. Furthermore, the underutilised DG variety may also be exploited owing to its promising cell wall characteristics that can produce higher bioethanol yields.